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Full Scoreboard »» |
![]() | Charlotte Checkers 2 11-14-5, 27pts · 14th in Conference 2 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Zach Aston-Reese | 0 | C | 99.00 | 74 | 52 | 77 | 72 | 75 | 80 | 82 | 71 | 42 | 67 | 64 | 69 | 69 | 78 | 64 | 1 | 50 | 69 | 30 | 975,000$/3yrs | |||
Hudson Fasching | 0 | LW/RW | 99.00 | 69 | 40 | 88 | 72 | 84 | 82 | 85 | 69 | 48 | 65 | 64 | 67 | 68 | 84 | 74 | 1 | 50 | 69 | 29 | 1,800,000$/4yrs | |||
Nicolas Deslauriers | 0 | LW | 99.00 | 86 | 78 | 72 | 70 | 83 | 76 | 85 | 68 | 44 | 62 | 63 | 66 | 66 | 87 | 77 | 1 | 50 | 68 | 34 | 2,200,000$/4yrs | |||
Landon Slaggert | 0 | LW | 100.00 | 64 | 43 | 73 | 74 | 76 | 81 | 65 | 67 | 40 | 63 | 62 | 66 | 68 | 55 | 50 | 1 | 50 | 65 | 23 | 975,000$/2yrs | |||
Sammy Blais | 0 | LW | 100.00 | 73 | 48 | 68 | 67 | 72 | 74 | 74 | 66 | 42 | 66 | 59 | 65 | 64 | 78 | 57 | 1 | 50 | 65 | 29 | 2,200,000$/4yrs | |||
Sheldon Dries | 0 | C | 100.00 | 55 | 46 | 67 | 69 | 59 | 73 | 72 | 66 | 64 | 61 | 64 | 59 | 67 | 70 | 58 | 1 | 50 | 63 | 31 | 3,000,000$/2yrs | |||
Cédric Paré | 0 | C | 100.00 | 67 | 44 | 66 | 64 | 70 | 67 | 65 | 62 | 45 | 60 | 56 | 65 | 60 | 54 | 50 | 1 | 50 | 61 | 26 | 1,000,000$/3yrs | |||
Laurent Dauphin | 0 | C/LW/RW | 100.00 | 57 | 43 | 59 | 65 | 57 | 65 | 64 | 60 | 43 | 60 | 58 | 62 | 61 | 60 | 53 | 1 | 50 | 60 | 30 | 1,500,000$/1yrs | |||
Gage Quinney | 0 | C | 100.00 | 55 | 40 | 73 | 60 | 64 | 69 | 67 | 63 | 44 | 64 | 55 | 52 | 59 | 59 | 52 | 1 | 50 | 59 | 29 | 975,000$/1yrs | |||
Jan Mysak | 0 | C | 100.00 | 57 | 41 | 73 | 65 | 62 | 64 | 62 | 63 | 61 | 59 | 58 | 53 | 62 | 51 | 50 | 1 | 50 | 59 | 23 | 1,500,000$/4yrs | |||
Donavan Houle | 0 | C/LW/RW | 100.00 | 58 | 44 | 61 | 61 | 62 | 64 | 62 | 60 | 42 | 58 | 56 | 55 | 58 | 52 | 50 | 1 | 50 | 57 | 25 | 1,000,000$/3yrs | |||
Kyle Burroughs | 0 | D | 100.00 | 74 | 70 | 63 | 74 | 77 | 80 | 77 | 69 | 40 | 64 | 62 | 71 | 68 | 68 | 58 | 1 | 50 | 69 | 29 | 2,000,000$/4yrs | |||
Albert Johansson | 0 | D | 100.00 | 67 | 41 | 72 | 78 | 69 | 77 | 69 | 68 | 40 | 63 | 62 | 71 | 69 | 53 | 50 | 1 | 50 | 67 | 24 | 950,000$/2yrs | |||
Cale Fleury | 0 | D | 100.00 | 66 | 41 | 72 | 67 | 69 | 67 | 64 | 64 | 40 | 62 | 57 | 68 | 63 | 65 | 51 | 1 | 50 | 64 | 26 | 4,000,000$/2yrs | |||
Jeremy Davies | 0 | D | 100.00 | 57 | 46 | 64 | 72 | 60 | 70 | 69 | 67 | 40 | 64 | 63 | 69 | 68 | 57 | 51 | 1 | 50 | 64 | 28 | 2,000,000$/2yrs | |||
Colton White | 0 | D | 100.00 | 57 | 43 | 68 | 65 | 64 | 71 | 69 | 62 | 40 | 59 | 55 | 63 | 61 | 70 | 52 | 1 | 50 | 62 | 28 | 1,500,000$/2yrs | |||
Drew Bavaro | 0 | D | 100.00 | 61 | 41 | 69 | 63 | 65 | 63 | 60 | 56 | 40 | 53 | 52 | 62 | 57 | 52 | 50 | 1 | 50 | 59 | 25 | 1,000,000$/3yrs | |||
Cade Webber (R) | 0 | D | 100.00 | 64 | 42 | 64 | 60 | 67 | 63 | 62 | 58 | 40 | 54 | 54 | 64 | 57 | 51 | 50 | 1 | 50 | 59 | 24 | 975,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Carter Wilkie | 0 | C | 100.00 | 61 | 40 | 62 | 59 | 62 | 61 | 58 | 55 | 47 | 54 | 54 | 57 | 56 | 52 | 50 | 1 | 50 | 56 | 25 | 1,000,000$/3yrs | |||
Jack Randl | 0 | C/LW/RW | 100.00 | 55 | 41 | 67 | 61 | 58 | 62 | 60 | 57 | 40 | 54 | 54 | 54 | 57 | 52 | 50 | 1 | 50 | 56 | 25 | 1,000,000$/3yrs | |||
Ian McKinnon | 0 | C/LW/RW | 100.00 | 60 | 58 | 54 | 60 | 65 | 66 | 64 | 57 | 42 | 51 | 52 | 54 | 56 | 55 | 50 | 1 | 50 | 56 | 27 | 1,000,000$/3yrs | |||
Connor MacEachern | 0 | C/LW/RW | 100.00 | 59 | 40 | 69 | 64 | 61 | 62 | 59 | 54 | 40 | 51 | 52 | 55 | 56 | 52 | 50 | 1 | 50 | 55 | 25 | 1,000,000$/3yrs | |||
Easton Brodzinski | 0 | C/LW/RW | 100.00 | 58 | 41 | 59 | 58 | 62 | 62 | 61 | 55 | 40 | 53 | 54 | 54 | 56 | 55 | 50 | 1 | 50 | 55 | 28 | 1,000,000$/3yrs | |||
Harrison Scott | 0 | C/LW/RW | 100.00 | 57 | 40 | 62 | 60 | 61 | 60 | 58 | 55 | 40 | 53 | 53 | 54 | 56 | 51 | 50 | 1 | 50 | 55 | 24 | 1,000,000$/3yrs | |||
Chris Wilkie | 0 | RW | 100.00 | 54 | 40 | 64 | 57 | 57 | 60 | 57 | 52 | 40 | 51 | 51 | 52 | 53 | 55 | 50 | 1 | 50 | 53 | 28 | 1,000,000$/3yrs | |||
Dmitry Kuzmin | 0 | D | 100.00 | 57 | 41 | 70 | 65 | 61 | 61 | 59 | 58 | 40 | 53 | 54 | 60 | 59 | 50 | 50 | 1 | 50 | 58 | 22 | 1,000,000$/3yrs | |||
Dylan Anhorn | 0 | D | 100.00 | 55 | 42 | 62 | 62 | 61 | 64 | 62 | 60 | 40 | 58 | 55 | 59 | 59 | 52 | 50 | 1 | 50 | 58 | 26 | 1,000,000$/3yrs | |||
Scott Harrington | 0 | D | 100.00 | 53 | 41 | 65 | 56 | 59 | 65 | 64 | 54 | 40 | 51 | 51 | 56 | 54 | 60 | 53 | 1 | 50 | 56 | 32 | 3,000,000$/2yrs | |||
Victor Mete | 0 | D | 100.00 | 52 | 41 | 64 | 58 | 56 | 61 | 59 | 55 | 40 | 54 | 52 | 55 | 55 | 75 | 52 | 1 | 50 | 56 | 27 | 2,000,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Matt Murray | 0 | 99.00 | 73 | 68 | 66 | 65 | 68 | 69 | 70 | 68 | 70 | 69 | 68 | 67 | 60 | 1 | 50 | 63 | 31 | 4,000,000$/1yrs |
Connor Hughes | 0 | 100.00 | 68 | 66 | 66 | 69 | 68 | 68 | 69 | 67 | 68 | 68 | 62 | 55 | 51 | 1 | 50 | 62 | 28 | 1,000,000$/3yrs |
| Scratches | ||||||||||||||||||||
Zach Sawchenko | 0 | 100.00 | 72 | 64 | 64 | 62 | 66 | 66 | 68 | 64 | 67 | 68 | 59 | 55 | 50 | 1 | 50 | 60 | 27 | 1,200,000$/3yrs |
Conner Murphy | 0 | 100.00 | 66 | 58 | 56 | 65 | 63 | 62 | 63 | 59 | 63 | 61 | 52 | 53 | 50 | 1 | 50 | 57 | 26 | 1,000,000$/3yrs |
Carter Gylander | 0 | 100.00 | 63 | 57 | 57 | 64 | 62 | 61 | 61 | 59 | 62 | 61 | 56 | 51 | 50 | 1 | 50 | 56 | 24 | 1,000,000$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Burrows | 71 | 67 | 70 | 69 | 57 | 53 | 1 | CAN | 44 | 1 | 1,000,000$ |
| General Manager |
|---|
| 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 | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Hudson Fasching | Checkers 2 (SEA) | LW/RW | 30 | 8 | 18 | 26 | -14 | 2 | 0 | 33 | 93 | 29 | 60 | 8.60% | 15 | 24.07 | 2 | 7 | 9 | 0 | 0 | 0 | 43 | 1 | 2 | 48.11% | 0 | 0 | 0.87 | 2 | 6 | 0.73 | |||
| 2 | Landon Slaggert | Checkers 2 (SEA) | LW | 30 | 13 | 12 | 25 | -12 | 4 | 0 | 55 | 107 | 24 | 67 | 12.15% | 13 | 21.52 | 3 | 7 | 10 | 0 | 0 | 0 | 39 | 2 | 0 | 38.10% | 0 | 1 | 0.83 | 2 | 4 | 0.79 | |||
| 3 | Zach Aston-Reese | Checkers 2 (SEA) | C | 30 | 10 | 12 | 22 | -8 | 15 | 5 | 45 | 107 | 29 | 60 | 9.35% | 20 | 23.33 | 6 | 3 | 9 | 0 | 0 | 0 | 41 | 2 | 0 | 42.95% | 0 | 0 | 0.73 | 2 | 6 | 0.66 | |||
| 4 | Nicolas Deslauriers | Checkers 2 (SEA) | LW | 30 | 12 | 9 | 21 | -4 | 39 | 15 | 70 | 92 | 24 | 39 | 13.04% | 12 | 21.28 | 5 | 2 | 7 | 0 | 0 | 0 | 27 | 1 | 0 | 47.06% | 0 | 0 | 0.70 | 1 | 4 | 0.55 | |||
| 5 | Sheldon Dries | Checkers 2 (SEA) | C | 30 | 9 | 9 | 18 | -2 | 9 | 5 | 39 | 62 | 20 | 38 | 14.52% | 7 | 17.22 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 1 | 0 | 55.20% | 0 | 0 | 0.60 | 1 | 2 | 0.55 | |||
| 6 | Cale Fleury | Checkers 2 (SEA) | D | 30 | 4 | 12 | 16 | -9 | 8 | 0 | 25 | 28 | 12 | 9 | 14.29% | 25 | 22.78 | 1 | 3 | 4 | 0 | 0 | 0 | 39 | 0 | 1 | 0.00% | 0 | 0 | 0.53 | 1 | 1 | 0.33 | |||
| 7 | Donavan Houle | Checkers 2 (SEA) | C/LW/RW | 30 | 5 | 7 | 12 | 3 | 22 | 0 | 41 | 24 | 7 | 15 | 20.83% | 7 | 16.85 | 0 | 5 | 5 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 0 | 0 | 0.40 | 0 | 0 | 0.29 | |||
| 8 | Kyle Burroughs | Checkers 2 (SEA) | D | 22 | 4 | 8 | 12 | -2 | 21 | 15 | 38 | 35 | 11 | 18 | 11.43% | 23 | 24.90 | 2 | 4 | 6 | 0 | 0 | 0 | 33 | 0 | 1 | 0.00% | 0 | 0 | 0.55 | 0 | 1 | 0.38 | |||
| 9 | Sammy Blais | Checkers 2 (SEA) | LW | 30 | 3 | 8 | 11 | -3 | 4 | 0 | 51 | 47 | 11 | 17 | 6.38% | 5 | 15.64 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 63.64% | 0 | 0 | 0.37 | 0 | 2 | 0.35 | |||
| 10 | Jeremy Davies | Checkers 2 (SEA) | D | 30 | 2 | 6 | 8 | -11 | 6 | 0 | 35 | 20 | 12 | 8 | 10.00% | 24 | 18.98 | 1 | 2 | 3 | 0 | 0 | 0 | 31 | 1 | 0 | 0.00% | 0 | 0 | 0.27 | 0 | 2 | 0.12 | |||
| 11 | Albert Johansson | Checkers 2 (SEA) | D | 30 | 2 | 6 | 8 | -7 | 13 | 5 | 35 | 36 | 17 | 12 | 5.56% | 25 | 22.39 | 2 | 2 | 4 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0.27 | 0 | 1 | 0.18 | |||
| 12 | Cédric Paré | Checkers 2 (SEA) | C | 30 | 3 | 4 | 7 | -6 | 2 | 0 | 37 | 30 | 10 | 18 | 10.00% | 6 | 15.25 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 1 | 50.00% | 0 | 0 | 0.23 | 0 | 0 | 0.20 | |||
| 13 | Gage Quinney | Checkers 2 (SEA) | C | 30 | 2 | 3 | 5 | -1 | 0 | 0 | 30 | 24 | 5 | 12 | 8.33% | 2 | 14.34 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 0 | 50.00% | 0 | 0 | 0.17 | 0 | 0 | 0.18 | |||
| 14 | Laurent Dauphin | Checkers 2 (SEA) | C/LW/RW | 27 | 2 | 3 | 5 | -9 | 13 | 5 | 33 | 21 | 10 | 13 | 9.52% | 6 | 15.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 37.50% | 0 | 0 | 0.19 | 0 | 0 | 0.02 | |||
| 15 | Drew Bavaro | Checkers 2 (SEA) | D | 27 | 0 | 2 | 2 | -2 | 2 | 0 | 13 | 3 | 2 | 3 | 0.00% | 2 | 8.74 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 0 | 0.03 | |||
| 16 | Cade Webber | Checkers 2 (SEA) | D | 30 | 0 | 1 | 1 | -3 | 4 | 0 | 16 | 4 | 1 | 8 | 0.00% | 8 | 10.94 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.03 | 0 | 0 | -0.00 | |||
| 17 | Dylan Anhorn | Checkers 2 (SEA) | D | 15 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 2 | 1 | 0 | 0.00% | 0 | 5.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 0 | 0.03 | |||
| 18 | Colton White | Checkers 2 (SEA) | D | 30 | 0 | 1 | 1 | -4 | 4 | 0 | 13 | 11 | 5 | 1 | 0.00% | 18 | 17.15 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 0 | 0.03 | 0 | 0 | 0.00 | |||
| 19 | Dmitry Kuzmin | Checkers 2 (SEA) | D | 20 | 0 | 0 | 0 | -3 | 2 | 0 | 5 | 1 | 1 | 1 | 0.00% | 8 | 13.29 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.05 | |||
| 20 | Carter Wilkie | Checkers 2 (SEA) | C | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | 0.36 | |||
| 21 | Scott Harrington | Checkers 2 (SEA) | D | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 5.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.18 | |||
| 22 | Jack Randl | Checkers 2 (SEA) | C/LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 1 | 1 | 0.00% | 3 | 17.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.45 | |||
| 23 | Ian McKinnon | Checkers 2 (SEA) | C/LW/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 4.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | |||
| 24 | Jan Mysak | Checkers 2 (SEA) | C | 30 | 0 | 0 | 0 | -2 | 9 | 5 | 21 | 16 | 4 | 8 | 0.00% | 0 | 9.53 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 49.43% | 0 | 0 | 0.00 | 0 | 0 | -0.02 | |||
| Team Total or Average | 568 | 79 | 122 | 201 | -97 | 179 | 55 | 638 | 766 | 236 | 408 | 10.31% | 229 | 17.10 | 24 | 38 | 62 | 666 | 0 | 0 | 0 | 378 | 11 | 5 | 46.78% | 1411 | 183 | 159 | 0 | 1 | 0.41 | 9 | 29 |
| 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 | Connor Hughes | Checkers 2 (SEA) | 18 | 6 | 8 | 2 | 0.908 | 2.05 | 1056 | 2 | 1 | 36 | 393 | 217 | 2 | 5 | 0.714 | 7 | 16 | 14 | 0 | 1 | 1 |
| 2 | Matt Murray | Checkers 2 (SEA) | 14 | 5 | 6 | 3 | 0.846 | 2.79 | 773 | 0 | 0 | 36 | 234 | 112 | 0 | 0 | 0.556 | 18 | 14 | 16 | 0 | 0 | 0 |
| Team Total or Average | 32 | 11 | 14 | 5 | 0.885 | 2.36 | 1829 | 2 | 1 | 72 | 627 | 329 | 2 | 5 | 0.600 | 25 | 30 | 30 | 0 | 1 | 1 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Albert Johansson | D | 24 | 950,000$ | 975,000$ | 975,000$ | ||||||
| Cade Webber | D | 24 | 975,000$ | 975,000$ | |||||||
| Cale Fleury | D | 26 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
| Carter Gylander | G | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
| Carter Wilkie | C | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Chris Wilkie | RW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Colton White | D | 28 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
| Conner Murphy | G | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Connor Hughes | G | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Connor MacEachern | C/LW/RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Cédric Paré | C | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Dmitry Kuzmin | D | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
| Donavan Houle | C/LW/RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Drew Bavaro | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Dylan Anhorn | D | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Easton Brodzinski | C/LW/RW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Gage Quinney | C | 29 | 975,000$ | 975,000$ | UFA | ||||||
| Harrison Scott | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Hudson Fasching | LW/RW | 29 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | |||
| Ian McKinnon | C/LW/RW | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Jack Randl | C/LW/RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Jan Mysak | C | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||
| Jeremy Davies | D | 28 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
| Kyle Burroughs | D | 29 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
| Landon Slaggert | LW | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Laurent Dauphin | C/LW/RW | 30 | 1,500,000$ | 1,500,000$ | UFA | ||||||
| Matt Murray | G | 31 | 4,000,000$ | 4,000,000$ | UFA | ||||||
| Nicolas Deslauriers | LW | 34 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | UFA | |||
| Sammy Blais | LW | 29 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | UFA | |||
| Scott Harrington | D | 32 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
| Sheldon Dries | C | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
| Victor Mete | D | 27 | 2,000,000$ | 2,000,000$ | UFA | ||||||
| Zach Aston-Reese | C | 30 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
| Zach Sawchenko | G | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA |
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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 |
| # | VS Team | 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 | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Gulls | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 6 | 1.000 | 9 | 13 | 22 | 0 | 0 | 17 | 20 | 29 | 8 | 64 | 166 | 232 | 254 | 32 | 45 | 15 | 22 | 50 | 8 | 4 | 50.00% | 6 | 1 | 83.33% | 0 | 231 | 495 | 46.67% | 230 | 458 | 50.22% | 160 | 337 | 47.48% | 574 | 250 | 552 | 319 | 706 | 356 | 71.4% | 14.1% | 93.3% | 107.4 | LUCKY |
| 2 | Americans | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 17 | 20 | 29 | 8 | 18 | 166 | 232 | 254 | 32 | 22 | 3 | 4 | 20 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 231 | 495 | 46.67% | 230 | 458 | 50.22% | 160 | 337 | 47.48% | 574 | 250 | 552 | 319 | 706 | 356 | 25.0% | 5.6% | 86.4% | 91.9 | Unlucky |
| 3 | Heat | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 6 | 0.750 | 10 | 17 | 27 | 0 | 0 | 17 | 20 | 29 | 8 | 94 | 166 | 232 | 254 | 32 | 73 | 19 | 19 | 62 | 7 | 2 | 28.57% | 7 | 1 | 85.71% | 0 | 231 | 495 | 46.67% | 230 | 458 | 50.22% | 160 | 337 | 47.48% | 574 | 250 | 552 | 319 | 706 | 356 | 61.5% | 10.6% | 91.8% | 102.4 | LUCKY |
| 4 | IceHogs | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 11 | 18 | 1 | 0 | 17 | 20 | 29 | 8 | 53 | 166 | 232 | 254 | 32 | 58 | 20 | 9 | 58 | 12 | 2 | 16.67% | 2 | 0 | 100.00% | 0 | 231 | 495 | 46.67% | 230 | 458 | 50.22% | 160 | 337 | 47.48% | 574 | 250 | 552 | 319 | 706 | 356 | 38.5% | 13.2% | 86.2% | 99.4 | FUN |
| 5 | Eagles | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 8 | 13 | 1 | 0 | 17 | 20 | 29 | 8 | 56 | 166 | 232 | 254 | 32 | 72 | 21 | 10 | 55 | 5 | 2 | 40.00% | 5 | 3 | 40.00% | 0 | 231 | 495 | 46.67% | 230 | 458 | 50.22% | 160 | 337 | 47.48% | 574 | 250 | 552 | 319 | 706 | 356 | 27.3% | 8.9% | 84.7% | 93.7 | Unlucky |
| 6 | Monsters | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 17 | 20 | 29 | 8 | 39 | 166 | 232 | 254 | 32 | 26 | 15 | 6 | 42 | 5 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 231 | 495 | 46.67% | 230 | 458 | 50.22% | 160 | 337 | 47.48% | 574 | 250 | 552 | 319 | 706 | 356 | 44.4% | 10.3% | 76.9% | 87.2 | FUN |
| 7 | Condors | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 7 | 12 | 0 | 0 | 17 | 20 | 29 | 8 | 34 | 166 | 232 | 254 | 32 | 45 | 19 | 16 | 36 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 231 | 495 | 46.67% | 230 | 458 | 50.22% | 160 | 337 | 47.48% | 574 | 250 | 552 | 319 | 706 | 356 | 55.6% | 14.7% | 88.9% | 103.6 | FUN |
| 8 | Reign | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 17 | 20 | 29 | 8 | 33 | 166 | 232 | 254 | 32 | 23 | 9 | 11 | 20 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 231 | 495 | 46.67% | 230 | 458 | 50.22% | 160 | 337 | 47.48% | 574 | 250 | 552 | 319 | 706 | 356 | 20.0% | 6.1% | 82.6% | 88.7 | Unlucky |
| 9 | Islanders | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 17 | 20 | 29 | 8 | 25 | 166 | 232 | 254 | 32 | 20 | 5 | 6 | 20 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 231 | 495 | 46.67% | 230 | 458 | 50.22% | 160 | 337 | 47.48% | 574 | 250 | 552 | 319 | 706 | 356 | 40.0% | 8.0% | 80.0% | 88.0 | Unlucky |
| 10 | Phantoms | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 17 | 20 | 29 | 8 | 23 | 166 | 232 | 254 | 32 | 23 | 6 | 9 | 20 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 231 | 495 | 46.67% | 230 | 458 | 50.22% | 160 | 337 | 47.48% | 574 | 250 | 552 | 319 | 706 | 356 | 50.0% | 4.3% | 91.3% | 95.7 | DULL |
| 11 | Roadrunners | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 14 | 22 | 0 | 1 | 17 | 20 | 29 | 8 | 37 | 166 | 232 | 254 | 32 | 44 | 12 | 6 | 34 | 7 | 3 | 42.86% | 3 | 0 | 100.00% | 0 | 231 | 495 | 46.67% | 230 | 458 | 50.22% | 160 | 337 | 47.48% | 574 | 250 | 552 | 319 | 706 | 356 | 62.5% | 21.6% | 93.2% | 114.8 | LUCKY |
| 12 | Penguins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 11 | 18 | 1 | 0 | 17 | 20 | 29 | 8 | 65 | 166 | 232 | 254 | 32 | 64 | 30 | 25 | 40 | 6 | 4 | 66.67% | 5 | 1 | 80.00% | 0 | 231 | 495 | 46.67% | 230 | 458 | 50.22% | 160 | 337 | 47.48% | 574 | 250 | 552 | 319 | 706 | 356 | 30.0% | 10.8% | 87.5% | 98.3 | FUN |
| 13 | Barracuda | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6 | -3 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 17 | 20 | 29 | 8 | 44 | 166 | 232 | 254 | 32 | 26 | 5 | 8 | 51 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 231 | 495 | 46.67% | 230 | 458 | 50.22% | 160 | 337 | 47.48% | 574 | 250 | 552 | 319 | 706 | 356 | 25.0% | 6.8% | 76.9% | 83.7 | Unlucky |
| 14 | Crunch | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 17 | 20 | 29 | 8 | 28 | 166 | 232 | 254 | 32 | 31 | 8 | 6 | 32 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 231 | 495 | 46.67% | 230 | 458 | 50.22% | 160 | 337 | 47.48% | 574 | 250 | 552 | 319 | 706 | 356 | 20.0% | 3.6% | 83.9% | 87.4 | Unlucky |
| 15 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 17 | 20 | 29 | 8 | 21 | 166 | 232 | 254 | 32 | 41 | 9 | 2 | 23 | 2 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 231 | 495 | 46.67% | 230 | 458 | 50.22% | 160 | 337 | 47.48% | 574 | 250 | 552 | 319 | 706 | 356 | 25.0% | 4.8% | 90.2% | 95.0 | Unlucky |
| 16 | Silver Knights | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 17 | 20 | 29 | 8 | 24 | 166 | 232 | 254 | 32 | 19 | 7 | 14 | 29 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 231 | 495 | 46.67% | 230 | 458 | 50.22% | 160 | 337 | 47.48% | 574 | 250 | 552 | 319 | 706 | 356 | 33.3% | 8.3% | 84.2% | 92.5 | Unlucky |
| _Vs Conference | 20 | 8 | 8 | 0 | 0 | 0 | 2 | 2 | 51 | 49 | 2 | 22 | 0.550 | 51 | 81 | 132 | 2 | 1 | 17 | 20 | 29 | 8 | 439 | 166 | 232 | 254 | 32 | 405 | 127 | 115 | 395 | 52 | 16 | 30.77% | 35 | 7 | 80.00% | 0 | 231 | 495 | 46.67% | 230 | 458 | 50.22% | 160 | 337 | 47.48% | 574 | 250 | 552 | 319 | 706 | 356 | 45.5% | 11.6% | 87.9% | 99.5 | FUN | |
| _Since Last GM Reset | 30 | 9 | 14 | 0 | 0 | 1 | 2 | 4 | 68 | 81 | -13 | 27 | 0.450 | 68 | 109 | 177 | 5 | 1 | 17 | 20 | 29 | 8 | 658 | 166 | 232 | 254 | 32 | 632 | 203 | 173 | 592 | 76 | 20 | 26.32% | 54 | 13 | 75.93% | 0 | 231 | 495 | 46.67% | 230 | 458 | 50.22% | 160 | 337 | 47.48% | 574 | 250 | 552 | 319 | 706 | 356 | 41.4% | 10.3% | 87.2% | 97.5 | FUN | |
| Total | 30 | 9 | 14 | 0 | 0 | 1 | 2 | 4 | 68 | 81 | -13 | 27 | 0.450 | 68 | 109 | 177 | 5 | 1 | 17 | 20 | 29 | 8 | 658 | 166 | 232 | 254 | 32 | 632 | 203 | 173 | 592 | 76 | 20 | 26.32% | 54 | 13 | 75.93% | 0 | 231 | 495 | 46.67% | 230 | 458 | 50.22% | 160 | 337 | 47.48% | 574 | 250 | 552 | 319 | 706 | 356 | 41.4% | 10.3% | 87.2% | 97.5 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 19 |
| Neutral Zone | 23 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 495 |
| Neutral Zone Start | 337 |
| Defensive Zone Start | 458 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 621 |
| Faceoffs Lost | 669 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 5.5 | 9.57 |
| 2nd Period | 13.3 | 20.31 |
| 3rd Period | 21.7 | 30.68 |
| Overtime | 22.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.6 | 0.64 |
| 2nd Period | 1.2 | 1.65 |
| 3rd Period | 2.2 | 2.67 |
| Overtime | 2.5 | 2.83 |
| Even Strenght Goal | 43 |
|---|---|
| PP Goal | 20 |
| PK Goal | 0 |
| Empty Net Goal | 5 |
| Home | Away | |
|---|---|---|
| Win | 7 | 4 |
| Lost | 5 | 9 |
| Overtime Lost | 3 | 2 |
| PP Attempt | 76 |
|---|---|
| PP Goal | 20 |
| PK Attempt | 54 |
| PK Goal Against | 13 |
| Home | |
|---|---|
| Shots For | 21.9 |
| Shots Against | 21.1 |
| Goals For | 2.3 |
| Goals Against | 2.7 |
| Hits | 19.7 |
| Shots Blocked | 6.8 |
| Pim | 5.8 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Wed, Oct 8 | SEA | @ | CAL | SEA1,CAL2 | RECAP | |||||||||
| Sat, Oct 11 | EDM | @ | SEA | EDM2,SEA3 (SO) | RECAP | |||||||||
| Tue, Oct 14 | SEA | @ | LOS | SEA2,LOS4 | RECAP | |||||||||
| Wed, Oct 15 | ANA | @ | SEA | ANA1,SEA3 | RECAP | |||||||||
| Sat, Oct 18 | S J | @ | SEA | S J3,SEA2 (SO) | RECAP | |||||||||
| Tue, Oct 21 | SEA | @ | TAM | SEA1,TAM3 | RECAP | |||||||||
| Wed, Oct 22 | PIT | @ | SEA | PIT2,SEA3 | RECAP | |||||||||
| Sat, Oct 25 | SEA | @ | PIT | SEA4,PIT6 | RECAP | |||||||||
| Sun, Oct 26 | CAL | @ | SEA | CAL1,SEA4 | RECAP | |||||||||
| Wed, Oct 29 | PHO | @ | SEA | PHO0,SEA4 | RECAP | |||||||||
| Thu, Oct 30 | SEA | @ | EDM | SEA2,EDM3 (SO) | RECAP | |||||||||
| Sun, Nov 2 | TAM | @ | SEA | TAM2,SEA0 | RECAP | |||||||||
| Mon, Nov 3 | SEA | @ | ANA | SEA2,ANA1 | RECAP | |||||||||
| Thu, Nov 6 | PHI | @ | SEA | PHI2,SEA1 (SO) | RECAP | |||||||||
| Sat, Nov 8 | SEA | @ | CAL | SEA2,CAL1 | RECAP | |||||||||
| Mon, Nov 10 | COL | @ | SEA | COL2,SEA0 | RECAP | |||||||||
| Tue, Nov 11 | SEA | @ | BUF | SEA1,BUF3 | RECAP | |||||||||
| Wed, Nov 12 | VAN | @ | SEA | VAN4,SEA1 | RECAP | |||||||||
| Sat, Nov 15 | SEA | @ | CAL | SEA3,CAL2 | RECAP | |||||||||
| Sun, Nov 16 | SEA | @ | CHI | SEA2,CHI4 | RECAP | |||||||||
| Tue, Nov 18 | S J | @ | SEA | S J3,SEA1 | RECAP | |||||||||
| Thu, Nov 20 | COL | @ | SEA | COL4,SEA2 | RECAP | |||||||||
| Sat, Nov 22 | CHI | @ | SEA | CHI4,SEA5 (SO) | RECAP | |||||||||
| Tue, Nov 25 | SEA | @ | COL | SEA3,COL5 | RECAP | |||||||||
| Thu, Nov 27 | SEA | @ | CLB | SEA3,CLB4 (OT) | RECAP | |||||||||
| Fri, Nov 28 | CLB | @ | SEA | CLB2,SEA1 (SO) | RECAP | |||||||||
| Mon, Dec 1 | SEA | @ | CHI | SEA2,CHI3 | RECAP | |||||||||
| Tue, Dec 2 | PHO | @ | SEA | PHO3,SEA4 | RECAP | |||||||||
| Fri, Dec 5 | SEA | @ | NYI | SEA2,NYI4 | RECAP | |||||||||
| Sun, Dec 7 | SEA | @ | ANA | SEA4,ANA1 | RECAP | |||||||||
| Mon, Dec 8 | BOS | @ | SEA | |||||||||||
| Thu, Dec 11 | SEA | @ | TAM | |||||||||||
| Fri, Dec 12 | DAL | @ | SEA | |||||||||||
| Mon, Dec 15 | WAS | @ | SEA | |||||||||||
| Wed, Dec 17 | SEA | @ | EDM | |||||||||||
| Fri, Dec 19 | SEA | @ | VAN | |||||||||||
| Sun, Dec 21 | NYI | @ | SEA | |||||||||||
| Wed, Dec 24 | CHI | @ | SEA | |||||||||||
| Fri, Dec 26 | SEA | @ | WAS | |||||||||||
| Sun, Dec 28 | SEA | @ | S J | |||||||||||
| Tue, Dec 30 | FLO | @ | SEA | |||||||||||
| Fri, Jan 2 | NAS | @ | SEA | |||||||||||
| Mon, Jan 5 | SEA | @ | STL | |||||||||||
| Tue, Jan 6 | NYR | @ | SEA | |||||||||||
| Fri, Jan 9 | SEA | @ | FLO | |||||||||||
| Sat, Jan 10 | BUF | @ | SEA | |||||||||||
| Tue, Jan 13 | SEA | @ | PHO | |||||||||||
| Wed, Jan 14 | CAR | @ | SEA | |||||||||||
| Sat, Jan 17 | SEA | @ | S J | |||||||||||
| Sun, Jan 18 | SEA | @ | TOR | |||||||||||
| Mon, Jan 19 | WPG | @ | SEA | |||||||||||
| Wed, Jan 21 | SEA | @ | MTL | |||||||||||
| Fri, Jan 23 | OTT | @ | SEA | |||||||||||
| Sun, Jan 25 | DET | @ | SEA | |||||||||||
| Tue, Jan 27 | SEA | @ | LOS | |||||||||||
| Fri, Jan 30 | MIN | @ | SEA | |||||||||||
| Sun, Feb 1 | SEA | @ | PHI | |||||||||||
| Tue, Feb 3 | SEA | @ | MIN | |||||||||||
| Wed, Feb 4 | CAL | @ | SEA | |||||||||||
| Sat, Feb 7 | STL | @ | SEA | |||||||||||
| Mon, Feb 9 | SEA | @ | COL | |||||||||||
| Wed, Feb 11 | NJD | @ | SEA | |||||||||||
| Thu, Feb 12 | SEA | @ | DAL | |||||||||||
| Sun, Feb 15 | LOS | @ | SEA | |||||||||||
| Mon, Feb 16 | SEA | @ | PHO | |||||||||||
| Wed, Feb 18 | LOS | @ | SEA | |||||||||||
| Fri, Feb 20 | SEA | @ | NJD | |||||||||||
| Sun, Feb 22 | ANA | @ | SEA | |||||||||||
| Tue, Feb 24 | SEA | @ | OTT | |||||||||||
| Wed, Feb 25 | SEA | @ | DET | |||||||||||
| Fri, Feb 27 | TOR | @ | SEA | |||||||||||
| Tue, Mar 3 | PIT | @ | SEA | |||||||||||
| Fri, Mar 6 | PHI | @ | SEA | |||||||||||
| Sun, Mar 8 | SEA | @ | NAS | |||||||||||
| Mon, Mar 9 | SEA | @ | CAR | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Wed, Mar 11 | EDM | @ | SEA | |||||||||||
| Sun, Mar 15 | SEA | @ | PIT | |||||||||||
| Mon, Mar 16 | MTL | @ | SEA | |||||||||||
| Thu, Mar 19 | TAM | @ | SEA | |||||||||||
| Fri, Mar 20 | SEA | @ | NYR | |||||||||||
| Sat, Mar 21 | SEA | @ | WPG | |||||||||||
| Sun, Mar 22 | SEA | @ | BOS | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 5,177,500$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Charlotte | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 26 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 5,177,500$ | 5,177,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,174,977$ | 0$ | 1,814,036$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 131 | 36,553$ | 3,947,724$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 3,947,724$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
|---|---|---|
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