Columbus Blue Jackets | |
GP: 16 | W: 5 | L: 11 | OTL: 0 | P: 10 GF: 36 | GA: 56 | PP%: 21.74% | PK%: 72.88% GM : Doug Emerson | Morale : 50 | Team Overall : 72 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nick Suzuki | X | X | 100.00 | 67 | 52 | 87 | 88 | 74 | 87 | 99 | 89 | 84 | 82 | 83 | 76 | 80 | 65 | 67 | 0 | 50 | 78 | 2 | 24 | 4 | 7,875,000$ | |||
2 | Adrian Kempe | X | X | X | 100.00 | 80 | 55 | 81 | 90 | 75 | 79 | 97 | 83 | 35 | 76 | 93 | 73 | 75 | 68 | 69 | 0 | 50 | 78 | 2 | 27 | 1 | 5,500,000$ | ||
3 | Tomas Hertl | X | 100.00 | 77 | 44 | 84 | 91 | 79 | 81 | 98 | 87 | 96 | 83 | 79 | 65 | 38 | 74 | 74 | 0 | 50 | 77 | 2 | 29 | 3 | 8,137,500$ | ||||
4 | Vladimir Tarasenko | X | 100.00 | 76 | 44 | 95 | 90 | 80 | 75 | 89 | 77 | 25 | 81 | 77 | 64 | 61 | 74 | 78 | 0 | 50 | 74 | 1 | 31 | 4 | 6,050,000$ | ||||
5 | Jonathan Huberdeau | X | X | X | 100.00 | 71 | 43 | 86 | 86 | 74 | 75 | 97 | 80 | 34 | 83 | 71 | 62 | 66 | 77 | 79 | 0 | 50 | 74 | 1 | 30 | 4 | 10,500,000$ | ||
6 | Jordan Staal | X | X | 100.00 | 84 | 46 | 87 | 78 | 83 | 73 | 97 | 61 | 97 | 66 | 72 | 79 | 25 | 89 | 96 | 0 | 50 | 73 | 0 | 35 | 4 | 3,500,000$ | |||
7 | Kasperi Kapanen | X | X | 100.00 | 80 | 44 | 91 | 90 | 71 | 66 | 90 | 69 | 40 | 74 | 74 | 71 | 25 | 68 | 70 | 0 | 50 | 71 | 0 | 27 | 1 | 3,200,000$ | |||
8 | Jujhar Khaira | X | X | 100.00 | 86 | 86 | 82 | 78 | 82 | 67 | 59 | 68 | 69 | 63 | 62 | 83 | 25 | 65 | 66 | 0 | 50 | 68 | 0 | 29 | 4 | 1,000,000$ | |||
9 | Jake Evans | X | X | 100.00 | 65 | 64 | 84 | 82 | 71 | 68 | 80 | 60 | 89 | 75 | 56 | 87 | 25 | 62 | 63 | 0 | 50 | 68 | 0 | 27 | 2 | 1,700,000$ | |||
10 | Ryan Donato | X | X | 100.00 | 75 | 57 | 81 | 83 | 70 | 59 | 89 | 64 | 46 | 64 | 72 | 68 | 61 | 66 | 66 | 0 | 50 | 67 | 0 | 27 | 1 | 2,000,000$ | |||
11 | Arthur Kaliyev | X | X | 100.00 | 69 | 43 | 92 | 79 | 72 | 61 | 85 | 75 | 25 | 72 | 74 | 57 | 53 | 59 | 60 | 0 | 50 | 67 | 0 | 22 | 1 | 925,000$ | |||
12 | Morgan Geekie | X | X | 100.00 | 71 | 62 | 89 | 74 | 65 | 57 | 88 | 58 | 78 | 73 | 64 | 74 | 25 | 61 | 62 | 0 | 53 | 66 | 0 | 25 | 1 | 2,111,835$ | |||
13 | Victor Hedman | X | 100.00 | 78 | 45 | 84 | 90 | 86 | 90 | 96 | 78 | 25 | 73 | 53 | 83 | 61 | 83 | 91 | 0 | 50 | 79 | 2 | 32 | 2 | 7,875,000$ | ||||
14 | Justin Faulk | X | 100.00 | 79 | 45 | 87 | 84 | 77 | 88 | 96 | 77 | 25 | 71 | 54 | 83 | 25 | 79 | 82 | 0 | 50 | 77 | 2 | 31 | 1 | 5,250,000$ | ||||
15 | Devon Toews | X | 100.00 | 77 | 44 | 89 | 83 | 71 | 92 | 90 | 75 | 25 | 73 | 50 | 89 | 75 | 68 | 71 | 0 | 50 | 76 | 2 | 29 | 1 | 4,100,000$ | ||||
16 | Dylan DeMelo | X | 100.00 | 81 | 44 | 81 | 80 | 70 | 79 | 92 | 59 | 25 | 62 | 49 | 87 | 25 | 71 | 72 | 0 | 50 | 73 | 0 | 30 | 1 | 4,260,000$ | ||||
17 | Niko Mikkola | X | 100.00 | 84 | 58 | 79 | 81 | 73 | 74 | 85 | 59 | 25 | 45 | 47 | 86 | 25 | 61 | 62 | 0 | 50 | 70 | 0 | 27 | 2 | 1,400,000$ | ||||
18 | Braden Schneider (R) | X | 100.00 | 83 | 58 | 93 | 81 | 75 | 68 | 91 | 55 | 25 | 52 | 48 | 76 | 25 | 58 | 59 | 0 | 56 | 68 | 0 | 22 | 2 | 950,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||||||||
1 | Kirill Marchenko (R) | X | 100.00 | 67 | 42 | 91 | 73 | 71 | 73 | 75 | 81 | 53 | 57 | 86 | 67 | 75 | 50 | 50 | 0 | 68 | 68 | 0 | 23 | 2 | 925,000$ | ||||
2 | Will Cuylle (R) | X | 100.00 | 78 | 79 | 77 | 64 | 79 | 78 | 82 | 62 | 50 | 55 | 65 | 66 | 62 | 44 | 44 | 0 | 53 | 63 | 0 | 21 | 3 | 830,000$ | ||||
3 | Tye Kartye (R) | X | 100.00 | 73 | 72 | 76 | 66 | 72 | 80 | 84 | 64 | 50 | 60 | 65 | 64 | 62 | 44 | 44 | 0 | 53 | 63 | 0 | 22 | 2 | 950,000$ | ||||
4 | Jakub Lauko | X | X | 100.00 | 84 | 74 | 85 | 67 | 67 | 52 | 73 | 55 | 26 | 61 | 70 | 74 | 25 | 46 | 46 | 0 | 53 | 62 | 0 | 23 | 1 | 939,750$ | |||
5 | Adam Klapka (R) | X | X | 100.00 | 85 | 93 | 65 | 67 | 93 | 72 | 76 | 56 | 70 | 50 | 58 | 68 | 55 | 44 | 44 | 0 | 53 | 62 | 0 | 23 | 1 | 950,000$ | |||
6 | Xavier Bourgault (R) | X | 100.00 | 72 | 64 | 91 | 68 | 64 | 72 | 76 | 60 | 75 | 57 | 58 | 62 | 55 | 44 | 44 | 0 | 53 | 60 | 0 | 20 | 3 | 925,000$ | ||||
7 | Raivis Ansons (R) | X | 100.00 | 74 | 71 | 82 | 65 | 71 | 63 | 67 | 48 | 50 | 44 | 46 | 60 | 44 | 44 | 44 | 0 | 53 | 55 | 0 | 21 | 3 | 845,000$ | ||||
8 | Arnaud Durandeau (R) | X | 100.00 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 0 | 53 | 49 | 0 | 24 | 1 | 876,750$ | ||||
9 | Avery Hayes (R) | X | X | 100.00 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 0 | 53 | 49 | 0 | 21 | 2 | 950,000$ | |||
10 | Jaxsen Wiebe (R) | X | X | 100.00 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 0 | 53 | 49 | 0 | 21 | 3 | 950,000$ | |||
11 | Nick Cicek (R) | X | 100.00 | 83 | 87 | 74 | 63 | 78 | 65 | 69 | 57 | 25 | 59 | 47 | 79 | 25 | 45 | 45 | 0 | 59 | 65 | 0 | 23 | 1 | 950,000$ | ||||
12 | Nikolai Knyzhov (R) | X | 100.00 | 73 | 43 | 81 | 67 | 73 | 69 | 43 | 56 | 25 | 39 | 49 | 82 | 25 | 53 | 53 | 0 | 53 | 63 | 0 | 25 | 1 | 1,020,000$ | ||||
13 | William Trudeau (R) | X | 100.00 | 71 | 70 | 72 | 63 | 70 | 70 | 75 | 54 | 25 | 48 | 45 | 60 | 43 | 44 | 44 | 0 | 53 | 59 | 0 | 20 | 3 | 860,000$ | ||||
14 | Simon Johansson (R) | X | 100.00 | 72 | 66 | 87 | 64 | 66 | 71 | 77 | 47 | 25 | 39 | 40 | 59 | 38 | 44 | 44 | 0 | 53 | 58 | 0 | 24 | 1 | 950,000$ | ||||
15 | Jett Woo (R) | X | 100.00 | 70 | 73 | 62 | 58 | 73 | 67 | 72 | 49 | 25 | 40 | 42 | 58 | 40 | 44 | 44 | 0 | 53 | 57 | 0 | 23 | 1 | 860,833$ | ||||
16 | Wyatt Kaiser (R) | X | 100.00 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 0 | 53 | 49 | 0 | 25 | 3 | 916,667$ | ||||
17 | Joona Koppanen | X | X | 100.00 | 79 | 75 | 87 | 63 | 75 | 76 | 81 | 60 | 75 | 58 | 57 | 66 | 54 | 44 | 44 | 0 | 43 | 62 | 0 | 25 | 1 | 787,500$ | |||
18 | Joe Snively | X | X | 100.00 | 61 | 40 | 99 | 67 | 59 | 63 | 63 | 60 | 56 | 63 | 70 | 64 | 25 | 46 | 46 | 0 | 43 | 61 | 0 | 27 | 1 | 1,130,000$ | |||
19 | Daylan Kuefler (R) | X | 100.00 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 0 | 53 | 49 | 0 | 21 | 3 | 950,000$ | ||||
20 | Tristen Nielsen (R) | X | 100.00 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 0 | 53 | 49 | 0 | 23 | 2 | 950,000$ | ||||
21 | Ben Gleason | X | 100.00 | 73 | 68 | 84 | 62 | 68 | 63 | 66 | 53 | 25 | 48 | 43 | 61 | 41 | 44 | 44 | 0 | 53 | 58 | 0 | 25 | 2 | 775,000$ | ||||
22 | Samuel Mayer (R) | X | 100.00 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 0 | 53 | 49 | 0 | 20 | 3 | 950,000$ | ||||
TEAM AVERAGE | 100.00 | 77 | 52 | 86 | 84 | 75 | 74 | 90 | 71 | 48 | 70 | 65 | 76 | 44 | 69 | 72 | 0 | 51 | 72 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Darcy Kuemper | 100.00 | 76 | 87 | 84 | 89 | 73 | 79 | 70 | 76 | 79 | 76 | 69 | 67 | 69 | 0 | 50 | 75 | 1 | 33 | 4 | 5,500,000$ | |
2 | Lukas Dostal (R) | 100.00 | 67 | 61 | 59 | 75 | 78 | 56 | 77 | 67 | 67 | 66 | 75 | 46 | 46 | 0 | 56 | 64 | 0 | 23 | 1 | 822,500$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Erik Kallgren (R) | 100.00 | 64 | 55 | 54 | 75 | 75 | 52 | 72 | 64 | 65 | 63 | 75 | 46 | 47 | 0 | 53 | 61 | 0 | 27 | 1 | 855,000$ | |
2 | Clay Stevenson (R) | 100.00 | 40 | 40 | 50 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 0 | 53 | 41 | 0 | 24 | 1 | 950,000$ | |
TEAM AVERAGE | 100.00 | 72 | 74 | 72 | 82 | 76 | 68 | 74 | 72 | 73 | 71 | 72 | 57 | 58 | 0 | 53 | 70 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Todd McLellan | 80 | 86 | 77 | 87 | 80 | 74 | 69 | CAN | 55 | 1 | 500,000$ |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
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1 | Justin Faulk | Columbus Blue Jackets | D | 16 | 3 | 9 | 12 | -3 | 8 | 0 | 33 | 23 | 21 | 1 | 18 | 14.29% | 26 | 351 | 21.99 | 2 | 4 | 6 | 12 | 33 | 0 | 0 | 0 | 0 | 48 | 0 | 1 | 0% | 0 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
2 | Nick Suzuki | Columbus Blue Jackets | C/RW | 16 | 5 | 6 | 11 | -5 | 7 | 5 | 13 | 37 | 56 | 22 | 23 | 8.93% | 2 | 285 | 17.85 | 1 | 5 | 6 | 12 | 36 | 0 | 0 | 0 | 1 | 17 | 2 | 0 | 49.51% | 307 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 0 |
3 | Adrian Kempe | Columbus Blue Jackets | C/LW/RW | 16 | 6 | 4 | 10 | -6 | 4 | 0 | 20 | 16 | 57 | 6 | 31 | 10.53% | 5 | 274 | 17.13 | 2 | 0 | 2 | 8 | 38 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 25.71% | 35 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 |
4 | Tomas Hertl | Columbus Blue Jackets | C | 16 | 3 | 6 | 9 | -7 | 12 | 0 | 14 | 42 | 40 | 11 | 28 | 7.50% | 4 | 278 | 17.39 | 0 | 3 | 3 | 7 | 39 | 0 | 0 | 0 | 1 | 5 | 0 | 0 | 59.52% | 336 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
5 | Victor Hedman | Columbus Blue Jackets | D | 16 | 1 | 7 | 8 | -5 | 4 | 0 | 19 | 26 | 24 | 3 | 15 | 4.17% | 21 | 360 | 22.51 | 1 | 2 | 3 | 14 | 53 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
6 | Vladimir Tarasenko | Columbus Blue Jackets | RW | 16 | 2 | 6 | 8 | -6 | 6 | 0 | 8 | 18 | 38 | 8 | 20 | 5.26% | 1 | 266 | 16.68 | 1 | 2 | 3 | 7 | 38 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 27.59% | 29 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7 | Devon Toews | Columbus Blue Jackets | D | 16 | 4 | 4 | 8 | -4 | 12 | 0 | 26 | 25 | 17 | 4 | 14 | 23.53% | 21 | 376 | 23.52 | 2 | 1 | 3 | 8 | 44 | 0 | 0 | 0 | 0 | 45 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
8 | Jordan Staal | Columbus Blue Jackets | C/LW | 16 | 4 | 3 | 7 | -2 | 16 | 0 | 30 | 55 | 36 | 8 | 24 | 11.11% | 5 | 285 | 17.85 | 1 | 0 | 1 | 4 | 13 | 0 | 0 | 0 | 1 | 48 | 0 | 0 | 66.30% | 362 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Arthur Kaliyev | Columbus Blue Jackets | LW/RW | 16 | 1 | 4 | 5 | -4 | 2 | 0 | 3 | 17 | 31 | 7 | 27 | 3.23% | 0 | 214 | 13.41 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30.77% | 13 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10 | Ryan Donato | Columbus Blue Jackets | C/LW | 16 | 2 | 2 | 4 | -4 | 6 | 0 | 9 | 9 | 22 | 7 | 12 | 9.09% | 1 | 191 | 11.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 42.11% | 38 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | Dylan DeMelo | Columbus Blue Jackets | D | 16 | 1 | 3 | 4 | -9 | 14 | 0 | 20 | 15 | 10 | 5 | 6 | 10.00% | 26 | 322 | 20.14 | 0 | 0 | 0 | 3 | 19 | 0 | 0 | 0 | 0 | 39 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
12 | Kasperi Kapanen | Columbus Blue Jackets | LW/RW | 16 | 0 | 4 | 4 | -8 | 4 | 0 | 22 | 11 | 23 | 11 | 20 | 0% | 1 | 248 | 15.52 | 0 | 0 | 0 | 5 | 23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26.09% | 23 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Jonathan Huberdeau | Columbus Blue Jackets | C/LW/RW | 16 | 2 | 1 | 3 | -6 | 6 | 0 | 9 | 16 | 25 | 8 | 19 | 8.00% | 2 | 265 | 16.59 | 0 | 0 | 0 | 5 | 36 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 22.73% | 22 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Jujhar Khaira | Columbus Blue Jackets | C/LW | 11 | 2 | 0 | 2 | 0 | 9 | 5 | 12 | 8 | 14 | 1 | 8 | 14.29% | 1 | 98 | 8.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 1 | 1 | 66.67% | 15 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
15 | Niko Mikkola | Columbus Blue Jackets | D | 16 | 0 | 2 | 2 | -4 | 25 | 15 | 28 | 11 | 7 | 4 | 3 | 0% | 26 | 272 | 17.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 0 |
16 | Morgan Geekie | Columbus Blue Jackets | C/RW | 12 | 0 | 1 | 1 | 0 | 2 | 0 | 3 | 3 | 3 | 0 | 0 | 0% | 1 | 68 | 5.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0% | 4 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Jake Evans | Columbus Blue Jackets | C/RW | 16 | 0 | 1 | 1 | 0 | 4 | 0 | 1 | 22 | 9 | 4 | 9 | 0% | 5 | 130 | 8.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0 | 0 | 57.34% | 143 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Braden Schneider | Columbus Blue Jackets | D | 16 | 1 | 0 | 1 | -4 | 16 | 10 | 22 | 9 | 7 | 1 | 4 | 14.29% | 20 | 241 | 15.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 |
19 | Kirill Marchenko | Cleveland Monsters (CBJ) | RW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0% | 0 | 7 | 1.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 283 | 37 | 63 | 100 | -77 | 157 | 35 | 292 | 363 | 442 | 112 | 281 | 8.37% | 168 | 4538 | 16.04 | 10 | 17 | 27 | 86 | 377 | 0 | 0 | 0 | 3 | 344 | 5 | 3 | 55.16% | 1327 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | 2 | 2 | 3 | 5 | 4 | 5 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Darcy Kuemper | Columbus Blue Jackets | 12 | 4 | 8 | 0 | 0.889 | 3.72 | 677 | 2 | 0 | 42 | 378 | 0 | 0 | 0 | 0 | 0 | 12 | 4 | 0 | 0 | 0 |
2 | Lukas Dostal | Columbus Blue Jackets | 5 | 1 | 3 | 0 | 0.910 | 2.78 | 281 | 0 | 0 | 13 | 145 | 0 | 0 | 1 | 0 | 0 | 4 | 12 | 0 | 0 | 0 |
Team Total or Average | 17 | 5 | 11 | 0 | 0.895 | 3.44 | 959 | 2 | 0 | 55 | 523 | 0 | 0 | 1 | 0 | 16 | 16 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Player Name | Team Name | POS | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Waiver Possible | Contract | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Kempe (1 Way Contract) | Columbus Blue Jackets | C/LW/RW | 27 | 9/12/1996 | No | 201 Lbs | 6 ft2 | No | No | No | Yes | 1 | Pro & Farm | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | No | Link | |||||||||
Arthur Kaliyev | Columbus Blue Jackets | LW/RW | 22 | 6/25/2001 | No | 190 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 925,000$ | 925,000$ | No | Link | |||||||||
Braden Schneider | Columbus Blue Jackets | D | 22 | 9/20/2001 | Yes | 202 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 950,000$ | 950,000$ | 950,000$ | 950,000$ | No | 950,000$ | Link / NHL Link | ||||||||
Darcy Kuemper (1 Way Contract) | Columbus Blue Jackets | G | 33 | 5/4/1990 | No | 215 Lbs | 6 ft5 | No | No | No | Yes | 4 | Pro & Farm | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | No | 5,500,000$ | 5,500,000$ | 5,500,000$ | Link | ||||||
Devon Toews (1 Way Contract) | Columbus Blue Jackets | D | 29 | 2/21/1994 | No | 191 Lbs | 6 ft1 | No | No | No | Yes | 1 | Pro & Farm | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | No | Link / NHL Link | |||||||||
Dylan DeMelo (1 Way Contract) | Columbus Blue Jackets | D | 30 | 5/1/1993 | No | 191 Lbs | 6 ft0 | No | No | No | Yes | 1 | Pro & Farm | 4,260,000$ | 4,260,000$ | 4,260,000$ | 4,260,000$ | No | Link | |||||||||
Jake Evans | Columbus Blue Jackets | C/RW | 27 | 6/2/1996 | No | 190 Lbs | 6 ft0 | No | No | No | Yes | 2 | Pro & Farm | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | No | 1,700,000$ | Link | ||||||||
Jonathan Huberdeau (1 Way Contract) | Columbus Blue Jackets | C/LW/RW | 30 | 6/4/1993 | No | 202 Lbs | 6 ft1 | No | No | No | Yes | 4 | Pro & Farm | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | No | 10,500,000$ | 10,500,000$ | 10,500,000$ | Link / NHL Link | ||||||
Jordan Staal (1 Way Contract) | Columbus Blue Jackets | C/LW | 35 | 9/10/1988 | No | 220 Lbs | 6 ft4 | No | No | No | Yes | 4 | Pro & Farm | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | No | 3,500,000$ | 3,500,000$ | 3,500,000$ | Link / NHL Link | ||||||
Jujhar Khaira | Columbus Blue Jackets | C/LW | 29 | 8/13/1994 | No | 212 Lbs | 6 ft4 | No | No | No | Yes | 4 | Pro & Farm | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | No | 1,000,000$ | 1,000,000$ | 1,000,000$ | Link | ||||||
Justin Faulk (1 Way Contract) | Columbus Blue Jackets | D | 31 | 3/20/1992 | No | 217 Lbs | 6 ft0 | No | No | No | Yes | 1 | Pro & Farm | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | No | Link | |||||||||
Kasperi Kapanen (1 Way Contract) | Columbus Blue Jackets | LW/RW | 27 | 7/23/1996 | No | 194 Lbs | 6 ft1 | No | No | No | Yes | 1 | Pro & Farm | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | No | Link / NHL Link | |||||||||
Lukas Dostal | Columbus Blue Jackets | G | 23 | 6/22/2000 | Yes | 191 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 822,500$ | 822,500$ | 822,500$ | 822,500$ | No | Link | |||||||||
Morgan Geekie | Columbus Blue Jackets | C/RW | 25 | 7/20/1998 | No | 168 Lbs | 6 ft2 | No | No | No | Yes | 1 | Pro & Farm | 2,111,835$ | 2,111,835$ | 2,111,835$ | 2,111,835$ | No | Link / NHL Link | |||||||||
Nick Suzuki | Columbus Blue Jackets | C/RW | 24 | 8/10/1999 | No | 208 Lbs | 5 ft11 | No | No | No | No | 4 | Pro & Farm | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | No | 7,875,000$ | 7,875,000$ | 7,875,000$ | Link / NHL Link | ||||||
Niko Mikkola | Columbus Blue Jackets | D | 27 | 4/27/1996 | No | 185 Lbs | 6 ft4 | No | No | No | Yes | 2 | Pro & Farm | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | No | 1,400,000$ | Link / NHL Link | ||||||||
Ryan Donato (1 Way Contract) | Columbus Blue Jackets | C/LW | 27 | 4/9/1996 | No | 192 Lbs | 6 ft0 | No | No | No | Yes | 1 | Pro & Farm | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | No | Link / NHL Link | |||||||||
Tomas Hertl (1 Way Contract) | Columbus Blue Jackets | C | 29 | 11/12/1993 | No | 215 Lbs | 6 ft2 | No | No | No | Yes | 3 | Pro & Farm | 8,137,500$ | 8,137,500$ | 8,137,500$ | 8,137,500$ | No | 8,137,500$ | 8,137,500$ | Link / NHL Link | |||||||
Victor Hedman (1 Way Contract) | Columbus Blue Jackets | D | 32 | 12/18/1990 | No | 229 Lbs | 6 ft6 | No | No | No | Yes | 2 | Pro & Farm | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | No | 7,875,000$ | Link / NHL Link | ||||||||
Vladimir Tarasenko (1 Way Contract) | Columbus Blue Jackets | RW | 31 | 12/13/1991 | No | 225 Lbs | 6 ft0 | No | No | No | Yes | 4 | Pro & Farm | 6,050,000$ | 6,050,000$ | 6,050,000$ | 6,050,000$ | No | 6,050,000$ | 6,050,000$ | 6,050,000$ | Link / NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
20 | 28.00 | 202 Lbs | 6 ft2 | 2.20 | 4,132,842$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
82,656,835$ | 54,487,500$ | 42,562,500$ | 34,425,000$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Adrian Kempe | Tomas Hertl | Vladimir Tarasenko | 30 | 1 | 1 | 3 |
2 | Jonathan Huberdeau | Nick Suzuki | Kasperi Kapanen | 30 | 1 | 1 | 3 |
3 | Arthur Kaliyev | Jordan Staal | Ryan Donato | 30 | 1 | 2 | 2 |
4 | Jujhar Khaira | Jake Evans | Morgan Geekie | 10 | 2 | 2 | 1 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Victor Hedman | Dylan DeMelo | 35 | 1 | 2 | 2 | |
2 | Justin Faulk | Devon Toews | 35 | 1 | 2 | 2 | |
3 | Niko Mikkola | Braden Schneider | 30 | 1 | 3 | 1 | |
4 | Victor Hedman | Devon Toews | 0 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Adrian Kempe | Tomas Hertl | Vladimir Tarasenko | 55 | 0 | 1 | 4 |
2 | Jonathan Huberdeau | Nick Suzuki | Kasperi Kapanen | 45 | 0 | 1 | 4 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Victor Hedman | Devon Toews | 50 | 0 | 2 | 3 | |
2 | Victor Hedman | Justin Faulk | 50 | 0 | 2 | 3 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Jordan Staal | Jujhar Khaira | 60 | 0 | 4 | 1 |
2 | Jake Evans | Morgan Geekie | 40 | 0 | 4 | 1 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Justin Faulk | Devon Toews | 60 | 0 | 4 | 1 |
2 | Dylan DeMelo | Niko Mikkola | 40 | 1 | 4 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Jordan Staal | 60 | 0 | 5 | 0 | Justin Faulk | Devon Toews | 60 | 0 | 5 | 0 |
2 | Jake Evans | 40 | 0 | 5 | 0 | Dylan DeMelo | Niko Mikkola | 40 | 0 | 5 | 0 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Tomas Hertl | Adrian Kempe | 50 | 1 | 1 | 3 |
2 | Nick Suzuki | Jonathan Huberdeau | 50 | 0 | 2 | 3 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Victor Hedman | Devon Toews | 50 | 0 | 2 | 3 |
2 | Victor Hedman | Justin Faulk | 50 | 0 | 2 | 3 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Adrian Kempe | Tomas Hertl | Nick Suzuki | Victor Hedman | Devon Toews |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Adrian Kempe | Tomas Hertl | Nick Suzuki | Victor Hedman | Devon Toews |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Jordan Staal, Arthur Kaliyev, Adrian Kempe | Ryan Donato, Arthur Kaliyev | Nick Suzuki |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Victor Hedman, Devon Toews, Justin Faulk | Dylan DeMelo | Victor Hedman, Devon Toews |
Penalty Shots |
---|
Adrian Kempe, Nick Suzuki, Jonathan Huberdeau, Vladimir Tarasenko, Tomas Hertl |
Goalie |
---|
#1 : Lukas Dostal, #2 : Darcy Kuemper |
Custom OT Lines Forwards |
---|
Nick Suzuki, Tomas Hertl, Adrian Kempe, Vladimir Tarasenko, Jonathan Huberdeau, Kasperi Kapanen, Kasperi Kapanen, Jordan Staal, Arthur Kaliyev, Ryan Donato, Jake Evans |
Custom OT Lines Defensemen |
---|
Victor Hedman, Devon Toews, Justin Faulk, Dylan DeMelo, Niko Mikkola |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
1 | Boston Bruins | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 7 | -2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 0 | 1 | 63 | 22 | 17 | 21 | 3 | 70 | 24 | 14 | 44 | 5 | 2 | 40.00% | 7 | 3 | 57.14% | 0 | 277 | 509 | 54.42% | 317 | 563 | 56.31% | 133 | 255 | 52.16% | 46 | 31 | 49 | 14 | 26 | 13 |
2 | Buffalo Sabres | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 0 | 5 | 0 | 0 | 43 | 13 | 20 | 10 | 0 | 70 | 28 | 25 | 33 | 7 | 3 | 42.86% | 10 | 2 | 80.00% | 0 | 277 | 509 | 54.42% | 317 | 563 | 56.31% | 133 | 255 | 52.16% | 45 | 30 | 48 | 14 | 26 | 12 |
3 | Detroit Red Wings | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 4 | 8 | 12 | 1 | 0 | 3 | 0 | 1 | 0 | 51 | 20 | 13 | 18 | 0 | 76 | 23 | 18 | 32 | 2 | 1 | 50.00% | 9 | 4 | 55.56% | 0 | 277 | 509 | 54.42% | 317 | 563 | 56.31% | 133 | 255 | 52.16% | 44 | 30 | 49 | 14 | 25 | 12 |
4 | Florida Panthers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 72 | 25 | 20 | 27 | 0 | 46 | 10 | 22 | 36 | 7 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 277 | 509 | 54.42% | 317 | 563 | 56.31% | 133 | 255 | 52.16% | 45 | 30 | 47 | 14 | 26 | 12 |
5 | Montreal Canadiens | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 1 | 3 | 4 | 0 | 55 | 12 | 16 | 27 | 0 | 58 | 20 | 19 | 32 | 7 | 3 | 42.86% | 7 | 2 | 71.43% | 0 | 277 | 509 | 54.42% | 317 | 563 | 56.31% | 133 | 255 | 52.16% | 48 | 35 | 46 | 14 | 24 | 12 |
6 | Ottawa Senators | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 4 | 2 | 2 | 0 | 81 | 29 | 21 | 31 | 0 | 57 | 21 | 16 | 39 | 10 | 1 | 10.00% | 7 | 2 | 71.43% | 0 | 277 | 509 | 54.42% | 317 | 563 | 56.31% | 133 | 255 | 52.16% | 56 | 41 | 39 | 12 | 24 | 12 |
7 | Tampa Bay Lightning | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 44 | 17 | 11 | 16 | 0 | 73 | 22 | 19 | 34 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 277 | 509 | 54.42% | 317 | 563 | 56.31% | 133 | 255 | 52.16% | 42 | 29 | 51 | 14 | 25 | 11 |
8 | Toronto Maple Leafs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 44 | 12 | 11 | 21 | 0 | 74 | 23 | 26 | 40 | 4 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 277 | 509 | 54.42% | 317 | 563 | 56.31% | 133 | 255 | 52.16% | 39 | 26 | 57 | 14 | 23 | 10 |
Total | 16 | 4 | 11 | 0 | 1 | 0 | 0 | 0 | 36 | 56 | -20 | 8 | 2 | 5 | 0 | 1 | 0 | 0 | 0 | 21 | 25 | -4 | 8 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 15 | 31 | -16 | 10 | 0.313 | 36 | 64 | 100 | 1 | 0 | 11 | 13 | 11 | 1 | 453 | 150 | 129 | 171 | 3 | 524 | 171 | 159 | 290 | 46 | 10 | 21.74% | 59 | 16 | 72.88% | 0 | 277 | 509 | 54.42% | 317 | 563 | 56.31% | 133 | 255 | 52.16% | 369 | 255 | 390 | 115 | 202 | 98 | |
_Since Last GM Reset | 16 | 4 | 11 | 0 | 1 | 0 | 0 | 0 | 36 | 56 | -20 | 8 | 2 | 5 | 0 | 1 | 0 | 0 | 0 | 21 | 25 | -4 | 8 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 15 | 31 | -16 | 10 | 0.313 | 36 | 64 | 100 | 1 | 0 | 11 | 13 | 11 | 1 | 453 | 150 | 129 | 171 | 3 | 524 | 171 | 159 | 290 | 46 | 10 | 21.74% | 59 | 16 | 72.88% | 0 | 277 | 509 | 54.42% | 317 | 563 | 56.31% | 133 | 255 | 52.16% | 369 | 255 | 390 | 115 | 202 | 98 | |
_Vs Conference | 16 | 4 | 11 | 0 | 1 | 0 | 0 | 0 | 36 | 56 | -20 | 8 | 2 | 5 | 0 | 1 | 0 | 0 | 0 | 21 | 25 | -4 | 8 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 15 | 31 | -16 | 10 | 0.313 | 36 | 64 | 100 | 1 | 0 | 11 | 13 | 11 | 1 | 453 | 150 | 129 | 171 | 3 | 524 | 171 | 159 | 290 | 46 | 10 | 21.74% | 59 | 16 | 72.88% | 0 | 277 | 509 | 54.42% | 317 | 563 | 56.31% | 133 | 255 | 52.16% | 369 | 255 | 390 | 115 | 202 | 98 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
16 | 10 | L3 | 36 | 64 | 100 | 453 | 524 | 171 | 159 | 290 | 1 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
16 | 4 | 11 | 1 | 0 | 0 | 0 | 36 | 56 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
8 | 2 | 5 | 1 | 0 | 0 | 0 | 21 | 25 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
8 | 2 | 6 | 0 | 0 | 0 | 0 | 15 | 31 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
2 | 8 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
46 | 10 | 21.74% | 59 | 16 | 72.88% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
150 | 129 | 171 | 3 | 11 | 13 | 11 | 1 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
277 | 509 | 54.42% | 317 | 563 | 56.31% | 133 | 255 | 52.16% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
369 | 255 | 390 | 115 | 202 | 98 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
---|---|---|---|---|---|---|---|---|---|---|
1 | 15 | Columbus Blue Jackets | 2 | Detroit Red Wings | 7 | AL | BoxScore | |||
2 | 22 | Tampa Bay Lightning | 3 | Columbus Blue Jackets | 1 | BL | BoxScore | |||
3 | 40 | Boston Bruins | 3 | Columbus Blue Jackets | 4 | BW | X | BoxScore | ||
4 | 62 | Columbus Blue Jackets | 5 | Montreal Canadiens | 2 | AW | BoxScore | |||
6 | 79 | Florida Panthers | 2 | Columbus Blue Jackets | 3 | BW | BoxScore | |||
7 | 89 | Columbus Blue Jackets | 1 | Florida Panthers | 2 | AL | BoxScore | |||
9 | 103 | Ottawa Senators | 3 | Columbus Blue Jackets | 7 | BW | BoxScore | |||
11 | 127 | Columbus Blue Jackets | 1 | Boston Bruins | 4 | AL | BoxScore | |||
12 | 145 | Buffalo Sabres | 3 | Columbus Blue Jackets | 1 | BL | BoxScore | |||
13 | 159 | Columbus Blue Jackets | 1 | Toronto Maple Leafs | 5 | AL | BoxScore | |||
14 | 172 | Columbus Blue Jackets | 1 | Ottawa Senators | 4 | AL | BoxScore | |||
15 | 189 | Montreal Canadiens | 4 | Columbus Blue Jackets | 3 | BL | BoxScore | |||
16 | 200 | Columbus Blue Jackets | 4 | Buffalo Sabres | 3 | AW | BoxScore | |||
18 | 219 | Toronto Maple Leafs | 3 | Columbus Blue Jackets | 0 | BL | BoxScore | |||
19 | 234 | Columbus Blue Jackets | 0 | Tampa Bay Lightning | 4 | AL | BoxScore | |||
21 | 251 | Detroit Red Wings | 4 | Columbus Blue Jackets | 2 | BL | BoxScore |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 6048 | 5040 | 2016 | 4032 | 1008 |
Ticket Price | 62 | 42 | 20 | 18 | 150 |
Attendance | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
0 | 0 - 0.00% | 0$ | 0$ | 18144 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
0$ | 82,656,835$ | 37,882,500$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 20 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 1 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 90,019,741$ | 90,019,741$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 82,500,000$ | 82,500,000$ | -61,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Link |
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Alex Galchenyuk EURO | Columbus Blue Jackets | 0 | 0 | ||
Alex Geci | Columbus Blue Jackets | 2021 | 135 | ||
Alexander Palchik | Columbus Blue Jackets | 2021 | 193 | ||
Cedric Paquette EURO | Columbus Blue Jackets | 0 | 0 | ||
Eric Florchuk | Columbus Blue Jackets | 2018 | 119 | ||
Ethan Sampson | Columbus Blue Jackets | 2021 | 183 | ||
Evgenii Kashnikov | Columbus Blue Jackets | 2021 | 114 | ||
Gustavs Ozolins | Columbus Blue Jackets | 2021 | 178 | ||
Henry Rybinski | Columbus Blue Jackets | 2019 | 148 | ||
Ivan Fedotov EURO | Columbus Blue Jackets | 0 | 0 | ||
Jake Chiasson | Columbus Blue Jackets | 2021 | 134 | ||
Jakub Pour EURO | Columbus Blue Jackets | 0 | 0 | ||
Jere Lassila | Columbus Blue Jackets | 2022 | 195 | ||
Johan Larsson EURO | Columbus Blue Jackets | 0 | 0 | ||
Kirill Tankov | Columbus Blue Jackets | 2020 | 184 | ||
Luke Prokop | Columbus Blue Jackets | 2020 | 130 | ||
Marat Khusnutdinov | Columbus Blue Jackets | 2020 | 31 | ||
Marcus Almquist | Columbus Blue Jackets | 2021 | 170 | ||
Nikolai Chebykin | Columbus Blue Jackets | 2015 | 68 | ||
Nikolai Makorov | Columbus Blue Jackets | 2021 | 201 | ||
Taige Harding | Columbus Blue Jackets | 2021 | 166 | ||
Tyson Galloway | Columbus Blue Jackets | 2021 | 198 | ||
William Stromgren | Columbus Blue Jackets | 2021 | 47 |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
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2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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1 | 246 | 92 | 169 | 261 | -4 | 129 | 212 | 330 | 757 | 12.15% | 96 | 4667 | 18.97 | 35 | 75 | 110 | 105 | 0 | 0 | 0 | 4 | 18 | 6 | 54.24% | 2 | 1.12 | 5 | 21 | |
2 | 491 | 96 | 156 | 252 | -8 | 64 | 289 | 824 | 1007 | 9.53% | 155 | 7228 | 14.72 | 11 | 22 | 33 | 78 | 3 | 3 | 6 | 41 | 9 | 7 | 54.17% | 1 | 0.70 | 0 | 5 | |
3 | 401 | 108 | 143 | 251 | 8 | 153 | 502 | 483 | 1145 | 9.43% | 60 | 6367 | 15.88 | 31 | 36 | 67 | 187 | 0 | 1 | 1 | 7 | 15 | 11 | 43.71% | 2 | 0.79 | 6 | 14 | |
4 | 406 | 88 | 161 | 249 | 28 | 378 | 860 | 496 | 946 | 9.30% | 141 | 7294 | 17.97 | 26 | 69 | 95 | 97 | 0 | 1 | 1 | 8 | 15 | 6 | 53.50% | 0 | 0.68 | 3 | 12 | |
5 | 247 | 106 | 127 | 233 | -13 | 107 | 211 | 196 | 804 | 13.18% | 83 | 4500 | 18.22 | 61 | 58 | 119 | 152 | 0 | 0 | 0 | 6 | 14 | 8 | 44.41% | 2 | 1.04 | 13 | 39 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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1 | 133 | 75 | 44 | 11 | 0.915 | 2.32 | 7826 | 10 | 4 | 302 | 3550 | 1673 | 9 | 6 | 0.618 | 68 | |
2 | 121 | 59 | 38 | 22 | 0.911 | 2.41 | 7261 | 8 | 2 | 292 | 3296 | 1560 | 10 | 3 | 0.600 | 95 | |
3 | 124 | 55 | 55 | 10 | 0.906 | 2.79 | 7079 | 14 | 5 | 329 | 3498 | 1593 | 2 | 3 | 0.649 | 57 | |
4 | 61 | 36 | 14 | 9 | 0.925 | 2.47 | 3615 | 6 | 1 | 149 | 1995 | 922 | 3 | 3 | 0.791 | 43 | |
5 | 64 | 35 | 24 | 5 | 0.906 | 2.83 | 3866 | 4 | 1 | 182 | 1930 | 0 | 0 | 4 | 0.810 | 21 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2012 | 82 | 47 | 19 | 0 | 1 | 3 | 6 | 6 | 264 | 211 | 53 | 41 | 24 | 11 | 0 | 0 | 1 | 3 | 2 | 134 | 107 | 27 | 41 | 23 | 8 | 0 | 1 | 2 | 3 | 4 | 130 | 104 | 26 | 99 | 264 | 441 | 705 | 5 | 3 | 67 | 104 | 86 | 12 | 2893 | 918 | 1033 | 929 | 60 | 2669 | 917 | 469 | 1860 | 277 | 63 | 22.74% | 204 | 46 | 77.45% | 2 | 1185 | 2188 | 54.16% | 958 | 1918 | 49.95% | 615 | 1195 | 51.46% | 1820 | 1063 | 1718 | 737 | 1451 | 729 |
2013 | 82 | 33 | 29 | 0 | 4 | 3 | 3 | 10 | 229 | 223 | 6 | 41 | 17 | 14 | 0 | 3 | 3 | 1 | 3 | 113 | 108 | 5 | 41 | 16 | 15 | 0 | 1 | 0 | 2 | 7 | 116 | 115 | 1 | 93 | 229 | 376 | 605 | 3 | 2 | 40 | 94 | 88 | 14 | 2579 | 755 | 889 | 913 | 77 | 2337 | 809 | 746 | 1298 | 276 | 61 | 22.10% | 264 | 74 | 71.97% | 0 | 1026 | 1904 | 53.89% | 985 | 1848 | 53.30% | 622 | 1171 | 53.12% | 1828 | 1068 | 1684 | 752 | 1488 | 740 |
2014 | 82 | 35 | 26 | 0 | 2 | 3 | 7 | 9 | 247 | 211 | 36 | 41 | 20 | 12 | 0 | 0 | 0 | 4 | 5 | 121 | 100 | 21 | 41 | 15 | 14 | 0 | 2 | 3 | 3 | 4 | 126 | 111 | 15 | 100 | 247 | 402 | 649 | 3 | 1 | 54 | 93 | 91 | 19 | 2641 | 742 | 912 | 965 | 75 | 2199 | 753 | 628 | 1388 | 354 | 84 | 23.73% | 180 | 52 | 71.11% | 1 | 1071 | 2013 | 53.20% | 847 | 1634 | 51.84% | 592 | 1168 | 50.68% | 1890 | 1109 | 1624 | 747 | 1495 | 759 |
2015 | 82 | 31 | 28 | 0 | 3 | 2 | 10 | 8 | 198 | 178 | 20 | 41 | 17 | 12 | 0 | 1 | 1 | 7 | 3 | 112 | 90 | 22 | 41 | 14 | 16 | 0 | 2 | 1 | 3 | 5 | 86 | 88 | -2 | 98 | 198 | 329 | 527 | 1 | 3 | 35 | 79 | 71 | 28 | 2313 | 650 | 853 | 791 | 82 | 2137 | 681 | 687 | 1406 | 322 | 74 | 22.98% | 333 | 74 | 77.78% | 6 | 942 | 1789 | 52.66% | 899 | 1731 | 51.94% | 561 | 1059 | 52.97% | 1801 | 1007 | 1682 | 779 | 1532 | 761 |
2016 | 82 | 30 | 34 | 0 | 2 | 3 | 6 | 7 | 198 | 205 | -7 | 41 | 16 | 17 | 0 | 2 | 0 | 3 | 3 | 95 | 95 | 0 | 41 | 14 | 17 | 0 | 0 | 3 | 3 | 4 | 103 | 110 | -7 | 86 | 198 | 328 | 526 | 0 | 5 | 46 | 68 | 76 | 19 | 2308 | 702 | 808 | 778 | 71 | 2221 | 738 | 571 | 1594 | 234 | 54 | 23.08% | 262 | 63 | 75.95% | 1 | 834 | 1769 | 47.15% | 826 | 1723 | 47.94% | 520 | 1100 | 47.27% | 1697 | 928 | 1744 | 794 | 1552 | 747 |
2017 | 82 | 28 | 38 | 0 | 7 | 3 | 1 | 5 | 253 | 302 | -49 | 41 | 14 | 19 | 0 | 4 | 1 | 0 | 3 | 124 | 150 | -26 | 41 | 14 | 19 | 0 | 3 | 2 | 1 | 2 | 129 | 152 | -23 | 80 | 253 | 413 | 666 | 3 | 1 | 44 | 106 | 95 | 8 | 2655 | 749 | 944 | 940 | 42 | 2655 | 797 | 773 | 1776 | 307 | 68 | 22.15% | 369 | 75 | 79.67% | 3 | 890 | 1890 | 47.09% | 952 | 1924 | 49.48% | 608 | 1246 | 48.80% | 1688 | 912 | 1770 | 792 | 1505 | 731 |
2018 | 82 | 34 | 42 | 0 | 1 | 2 | 1 | 2 | 275 | 303 | -28 | 41 | 20 | 19 | 0 | 0 | 1 | 0 | 1 | 148 | 155 | -7 | 41 | 14 | 23 | 0 | 1 | 1 | 1 | 1 | 127 | 148 | -21 | 76 | 275 | 440 | 715 | 0 | 2 | 65 | 105 | 103 | 4 | 2460 | 716 | 850 | 891 | 12 | 2502 | 767 | 1171 | 1715 | 312 | 71 | 22.76% | 376 | 81 | 78.46% | 6 | 965 | 1822 | 52.96% | 852 | 1746 | 48.80% | 623 | 1234 | 50.49% | 1616 | 834 | 1758 | 819 | 1561 | 752 |
2019 | 82 | 32 | 41 | 0 | 2 | 3 | 2 | 2 | 227 | 274 | -47 | 41 | 17 | 19 | 0 | 1 | 1 | 2 | 1 | 118 | 123 | -5 | 41 | 15 | 22 | 0 | 1 | 2 | 0 | 1 | 109 | 151 | -42 | 77 | 227 | 383 | 610 | 1 | 1 | 72 | 71 | 80 | 6 | 2437 | 819 | 784 | 814 | 35 | 2714 | 828 | 732 | 1715 | 254 | 37 | 14.57% | 303 | 64 | 78.88% | 1 | 1367 | 2727 | 50.13% | 1408 | 2898 | 48.59% | 609 | 1316 | 46.28% | 1846 | 1256 | 2046 | 617 | 1058 | 514 |
2020 | 82 | 21 | 42 | 0 | 6 | 6 | 3 | 4 | 214 | 282 | -68 | 41 | 9 | 19 | 0 | 3 | 4 | 3 | 3 | 114 | 140 | -26 | 41 | 12 | 23 | 0 | 3 | 2 | 0 | 1 | 100 | 142 | -42 | 70 | 214 | 383 | 597 | 3 | 4 | 80 | 63 | 62 | 12 | 2477 | 793 | 844 | 802 | 59 | 2687 | 788 | 657 | 1641 | 231 | 34 | 14.72% | 277 | 65 | 76.53% | 4 | 1405 | 2832 | 49.61% | 1464 | 2851 | 51.35% | 650 | 1263 | 51.46% | 1944 | 1332 | 1976 | 599 | 1058 | 524 |
2021 | 82 | 47 | 22 | 0 | 6 | 2 | 2 | 3 | 281 | 218 | 63 | 41 | 27 | 7 | 0 | 4 | 0 | 2 | 1 | 144 | 98 | 46 | 41 | 20 | 15 | 0 | 2 | 2 | 0 | 2 | 137 | 120 | 17 | 115 | 281 | 495 | 776 | 2 | 1 | 105 | 93 | 75 | 12 | 2937 | 1012 | 923 | 964 | 58 | 2360 | 671 | 577 | 1566 | 288 | 64 | 22.22% | 229 | 41 | 82.10% | 1 | 1684 | 3071 | 54.84% | 1508 | 2709 | 55.67% | 700 | 1259 | 55.60% | 2086 | 1472 | 1812 | 588 | 1059 | 545 |
2022 | 82 | 48 | 23 | 0 | 4 | 3 | 2 | 2 | 271 | 205 | 66 | 41 | 24 | 11 | 0 | 2 | 1 | 1 | 2 | 137 | 103 | 34 | 41 | 24 | 12 | 0 | 2 | 2 | 1 | 0 | 134 | 102 | 32 | 113 | 271 | 490 | 761 | 4 | 4 | 106 | 83 | 76 | 7 | 2802 | 949 | 932 | 896 | 37 | 2357 | 646 | 580 | 1579 | 280 | 69 | 24.64% | 234 | 47 | 79.91% | 1 | 1623 | 3038 | 53.42% | 1454 | 2734 | 53.18% | 674 | 1274 | 52.90% | 2067 | 1457 | 1835 | 589 | 1048 | 533 |
Total Regular Season | 574 | 240 | 242 | 0 | 28 | 22 | 17 | 25 | 1719 | 1789 | -70 | 287 | 127 | 111 | 0 | 16 | 8 | 11 | 14 | 880 | 864 | 16 | 287 | 113 | 131 | 0 | 12 | 14 | 6 | 11 | 839 | 925 | -86 | 617 | 1719 | 2932 | 4651 | 13 | 18 | 518 | 589 | 567 | 68 | 18076 | 5740 | 6085 | 6085 | 314 | 17496 | 5235 | 5061 | 11586 | 1906 | 397 | 20.83% | 2050 | 436 | 78.73% | 17 | 8768 | 17149 | 51.13% | 8464 | 16585 | 51.03% | 4384 | 8692 | 50.44% | 12948 | 8194 | 12944 | 4800 | 8842 | 4349 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Total Playoff | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0% | 0% | 0% | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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