*** Vos line up début saison Samedi 4 octobre 16h00 ***
Last update: 2026-03-28 18:48:08
Colorado Avalanche is looking for a new General Manager
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Zach Benson | 0 | LW | 100.00 | 70 | 40 | 77 | 75 | 63 | 64 | 81 | 68 | 53 | 69 | 69 | 75 | 54 | 59 | 60 | 0 | 50 | 72 | 20 | 1,600,000$/2yrs | |||
Nicholas Robertson | 0 | LW | 100.00 | 68 | 41 | 89 | 78 | 66 | 57 | 77 | 64 | 53 | 62 | 71 | 66 | 55 | 60 | 59 | 0 | 50 | 69 | 24 | 875,000$/2yrs | |||
Grigori Denisenko | 0 | LW | 100.00 | 57 | 58 | 69 | 65 | 70 | 69 | 68 | 68 | 56 | 67 | 66 | 63 | 55 | 63 | 59 | 0 | 50 | 68 | 25 | 775,000$/1yrs | |||
Vinni Lettieri | 0 | C | 100.00 | 65 | 52 | 80 | 66 | 68 | 62 | 65 | 64 | 69 | 67 | 65 | 66 | 57 | 68 | 63 | 0 | 50 | 68 | 31 | 775,000$/1yrs | |||
Nikita Alexandrov | 0 | C | 100.00 | 58 | 56 | 74 | 62 | 65 | 62 | 62 | 63 | 68 | 63 | 62 | 63 | 56 | 62 | 59 | 0 | 50 | 65 | 25 | 775,000$/2yrs | |||
Fraser Minten (R) | 0 | C | 100.00 | 60 | 48 | 78 | 70 | 73 | 63 | 60 | 59 | 65 | 61 | 60 | 62 | 56 | 57 | 57 | 0 | 50 | 65 | 21 | 816,666$/3yrs | |||
Skyler Brind'Amour | 0 | C | 100.00 | 56 | 54 | 68 | 59 | 72 | 68 | 65 | 60 | 55 | 58 | 62 | 61 | 54 | 63 | 58 | 0 | 50 | 64 | 26 | 775,000$/2yrs | |||
Jani Nyman (R) | 0 | C/RW | 100.00 | 57 | 56 | 72 | 61 | 79 | 63 | 61 | 61 | 55 | 59 | 63 | 63 | 55 | 56 | 55 | 0 | 50 | 64 | 21 | 918,333$/3yrs | |||
Joel Teasdale | 0 | LW | 100.00 | 56 | 54 | 69 | 60 | 69 | 67 | 66 | 58 | 55 | 58 | 57 | 62 | 54 | 65 | 59 | 0 | 50 | 63 | 27 | 775,000$/1yrs | |||
Samuel Honzek (R) | 0 | LW | 100.00 | 55 | 55 | 71 | 59 | 73 | 63 | 61 | 59 | 56 | 60 | 58 | 62 | 55 | 56 | 55 | 0 | 50 | 63 | 21 | 1,418,333$/4yrs | |||
Oliver Okuliar | 0 | C | 100.00 | 53 | 55 | 57 | 59 | 65 | 66 | 65 | 59 | 52 | 58 | 59 | 61 | 51 | 60 | 55 | 0 | 50 | 62 | 25 | 950,000$/1yrs | |||
Konsta Helenius (R) | 0 | C | 100.00 | 51 | 55 | 65 | 59 | 63 | 65 | 63 | 59 | 67 | 58 | 58 | 61 | 57 | 50 | 50 | 0 | 50 | 61 | 19 | 1,575,000$/4yrs | |||
Calen Addison | 0 | D | 100.00 | 59 | 53 | 70 | 62 | 62 | 70 | 71 | 63 | 40 | 65 | 59 | 64 | 54 | 63 | 59 | 0 | 50 | 66 | 25 | 825,000$/2yrs | |||
Cameron Crotty | 0 | D | 100.00 | 57 | 55 | 68 | 58 | 72 | 69 | 66 | 60 | 41 | 61 | 60 | 66 | 55 | 65 | 60 | 0 | 50 | 65 | 26 | 775,000$/3yrs | |||
Brogan Rafferty | 0 | D | 100.00 | 56 | 54 | 69 | 59 | 66 | 66 | 64 | 63 | 40 | 63 | 61 | 65 | 54 | 72 | 63 | 0 | 50 | 65 | 30 | 775,000$/1yrs | |||
Dysin Mayo | 0 | D | 100.00 | 57 | 55 | 63 | 59 | 67 | 67 | 66 | 58 | 40 | 58 | 57 | 62 | 54 | 69 | 62 | 0 | 50 | 63 | 29 | 950,000$/2yrs | |||
Lleyton Moore | 0 | D | 100.00 | 55 | 55 | 71 | 58 | 60 | 60 | 58 | 58 | 40 | 59 | 57 | 62 | 54 | 59 | 56 | 0 | 50 | 61 | 24 | 775,000$/1yrs | |||
Jackson Van De Leest | 0 | D | 100.00 | 55 | 54 | 70 | 55 | 78 | 55 | 55 | 54 | 40 | 54 | 54 | 60 | 54 | 59 | 56 | 0 | 50 | 59 | 24 | 775,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Nate Danielson (R) | 0 | C | 100.00 | 52 | 54 | 65 | 60 | 67 | 66 | 64 | 60 | 67 | 60 | 57 | 61 | 64 | 53 | 51 | 0 | 50 | 62 | 21 | 1,918,333$/4yrs | |||
Nico Myatovic | 0 | LW | 100.00 | 53 | 55 | 70 | 58 | 69 | 64 | 62 | 56 | 55 | 55 | 56 | 62 | 54 | 54 | 53 | 0 | 50 | 61 | 21 | 950,000$/3yrs | |||
Felix Robert | 0 | C | 100.00 | 55 | 55 | 58 | 56 | 55 | 58 | 57 | 56 | 59 | 56 | 56 | 56 | 54 | 56 | 55 | 0 | 50 | 59 | 26 | 950,000$/1yrs | |||
Karl Henriksson | 0 | C | 100.00 | 54 | 56 | 59 | 56 | 56 | 58 | 58 | 56 | 54 | 55 | 55 | 57 | 54 | 55 | 54 | 0 | 50 | 58 | 25 | 925,000$/1yrs | |||
Justin Ertel (R) | 0 | LW | 100.00 | 52 | 51 | 65 | 52 | 65 | 56 | 56 | 53 | 52 | 53 | 52 | 59 | 51 | 52 | 50 | 0 | 50 | 57 | 22 | 925,000$/3yrs | |||
Cooper Gay | 0 | LW | 100.00 | 51 | 51 | 67 | 51 | 71 | 51 | 51 | 51 | 52 | 51 | 51 | 56 | 51 | 54 | 51 | 0 | 50 | 56 | 24 | 975,000$/2yrs | |||
Jakub Stancl (R) | 0 | C | 100.00 | 51 | 51 | 67 | 52 | 68 | 53 | 53 | 51 | 52 | 51 | 51 | 56 | 51 | 49 | 48 | 0 | 50 | 55 | 20 | 919,667$/4yrs | |||
Kyle Masters | 0 | D | 100.00 | 54 | 54 | 70 | 55 | 64 | 57 | 57 | 55 | 40 | 55 | 54 | 60 | 54 | 55 | 53 | 0 | 50 | 59 | 22 | 900,000$/2yrs | |||
Angus Booth (R) | 0 | D | 100.00 | 52 | 51 | 64 | 54 | 60 | 62 | 60 | 54 | 38 | 54 | 52 | 61 | 51 | 51 | 49 | 0 | 50 | 58 | 21 | 826,667$/3yrs | |||
Aleksi Heimosalmi (R) | 0 | D | 100.00 | 52 | 54 | 65 | 55 | 60 | 63 | 61 | 54 | 38 | 54 | 53 | 57 | 51 | 52 | 50 | 0 | 50 | 58 | 22 | 880,000$/2yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Erik Portillo | 0 | 100.00 | 68 | 68 | 68 | 74 | 68 | 58 | 66 | 67 | 60 | 67 | 61 | 65 | 58 | 0 | 50 | 69 | 25 | 783,333$/3yrs |
Connor Hughes | 0 | 100.00 | 65 | 67 | 67 | 66 | 67 | 62 | 66 | 67 | 61 | 65 | 62 | 69 | 60 | 0 | 50 | 68 | 29 | 775,000$/1yrs |
| Scratches | ||||||||||||||||||||
Olof Lindbom | 0 | 100.00 | 54 | 55 | 55 | 56 | 57 | 54 | 59 | 55 | 56 | 55 | 59 | 55 | 54 | 0 | 50 | 58 | 25 | 750,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Georges Laracque | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 49 | 5 | 0$ |
| 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 | Grigori Denisenko | Texas Stars (DAL) | LW | 78 | 35 | 53 | 88 | 12 | 48 | 20 | 93 | 262 | 88 | 224 | 13.36% | 22 | 22.55 | 9 | 13 | 22 | 1 | 1 | 2 | 205 | 6 | 3 | 47.97% | 0 | 0 | 1.13 | 1 | 5 | 1.06 | |||
| 2 | Zach Benson | Texas Stars (DAL) | LW | 53 | 32 | 40 | 72 | 18 | 48 | 0 | 134 | 284 | 87 | 183 | 11.27% | 25 | 21.94 | 7 | 11 | 18 | 2 | 0 | 2 | 136 | 5 | 1 | 41.94% | 1 | 1 | 1.36 | 2 | 3 | 1.44 | |||
| 3 | Vinni Lettieri | Texas Stars (DAL) | C | 82 | 21 | 49 | 70 | 7 | 36 | 0 | 128 | 246 | 66 | 183 | 8.54% | 16 | 19.37 | 5 | 15 | 20 | 0 | 1 | 1 | 141 | 1 | 2 | 53.33% | 0 | 1 | 0.85 | 1 | 2 | 0.83 | |||
| 4 | Skyler Brind'Amour | Texas Stars (DAL) | C | 77 | 28 | 28 | 56 | -1 | 30 | 0 | 121 | 203 | 51 | 150 | 13.79% | 21 | 18.44 | 9 | 9 | 18 | 0 | 0 | 0 | 54 | 2 | 1 | 50.36% | 0 | 1 | 0.73 | 0 | 2 | 0.72 | |||
| 5 | Brogan Rafferty | Texas Stars (DAL) | D | 82 | 17 | 39 | 56 | 20 | 48 | 0 | 176 | 117 | 49 | 94 | 14.53% | 85 | 23.16 | 8 | 15 | 23 | 0 | 1 | 1 | 222 | 2 | 0 | 0.00% | 0 | 1 | 0.68 | 0 | 0 | 0.68 | |||
| 6 | Calen Addison | Texas Stars (DAL) | D | 82 | 8 | 42 | 50 | -4 | 38 | 0 | 162 | 126 | 52 | 95 | 6.35% | 114 | 23.20 | 3 | 13 | 16 | 0 | 0 | 0 | 233 | 2 | 1 | 0.00% | 0 | 0 | 0.61 | 0 | 0 | 0.55 | |||
| 7 | Cameron Crotty | Texas Stars (DAL) | D | 82 | 14 | 32 | 46 | -3 | 70 | 0 | 131 | 132 | 36 | 83 | 10.61% | 118 | 21.12 | 8 | 9 | 17 | 0 | 1 | 1 | 216 | 2 | 0 | 0.00% | 0 | 0 | 0.56 | 0 | 0 | 0.47 | |||
| 8 | Samuel Honzek | Texas Stars (DAL) | LW | 76 | 15 | 31 | 46 | 11 | 43 | 15 | 73 | 141 | 46 | 110 | 10.64% | 16 | 13.83 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 2 | 46.01% | 0 | 0 | 0.61 | 0 | 0 | 0.54 | |||
| 9 | Nikita Alexandrov | Texas Stars (DAL) | C | 67 | 19 | 24 | 43 | -13 | 26 | 0 | 82 | 158 | 55 | 133 | 12.03% | 11 | 17.40 | 5 | 12 | 17 | 0 | 0 | 0 | 105 | 4 | 1 | 50.51% | 0 | 0 | 0.64 | 1 | 1 | 0.56 | |||
| 10 | Lleyton Moore | Texas Stars (DAL) | D | 82 | 6 | 30 | 36 | -8 | 34 | 0 | 109 | 68 | 24 | 45 | 8.82% | 110 | 18.96 | 2 | 8 | 10 | 0 | 1 | 1 | 174 | 3 | 0 | 0.00% | 0 | 0 | 0.44 | 0 | 0 | 0.35 | |||
| 11 | Joel Teasdale | Texas Stars (DAL) | LW | 81 | 12 | 23 | 35 | -3 | 14 | 0 | 125 | 169 | 55 | 110 | 7.10% | 17 | 16.71 | 4 | 9 | 13 | 1 | 1 | 2 | 204 | 0 | 2 | 44.86% | 0 | 0 | 0.43 | 1 | 4 | 0.48 | |||
| 12 | Nate Danielson | Texas Stars (DAL) | C | 67 | 14 | 21 | 35 | 4 | 24 | 0 | 74 | 147 | 27 | 119 | 9.52% | 9 | 15.86 | 0 | 2 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 52.92% | 0 | 0 | 0.52 | 0 | 0 | 0.52 | |||
| 13 | Fraser Minten | Texas Stars (DAL) | C | 66 | 14 | 16 | 30 | -16 | 14 | 0 | 61 | 118 | 33 | 73 | 11.86% | 14 | 11.48 | 1 | 4 | 5 | 0 | 0 | 0 | 22 | 4 | 0 | 50.51% | 0 | 0 | 0.45 | 0 | 1 | 0.38 | |||
| 14 | Jani Nyman | Texas Stars (DAL) | C/RW | 69 | 13 | 13 | 26 | 14 | 16 | 0 | 52 | 99 | 42 | 70 | 13.13% | 8 | 9.19 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 2 | 1 | 48.21% | 0 | 1 | 0.38 | 0 | 0 | 0.44 | |||
| 15 | Konsta Helenius | Texas Stars (DAL) | C | 80 | 15 | 11 | 26 | 11 | 26 | 0 | 73 | 138 | 39 | 84 | 10.87% | 5 | 10.43 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 50.88% | 0 | 0 | 0.33 | 0 | 0 | 0.40 | |||
| 16 | Oliver Okuliar | Texas Stars (DAL) | C | 74 | 9 | 16 | 25 | -8 | 40 | 10 | 86 | 103 | 21 | 79 | 8.74% | 16 | 11.64 | 2 | 1 | 3 | 0 | 0 | 0 | 68 | 2 | 0 | 43.95% | 0 | 0 | 0.34 | 0 | 0 | 0.24 | |||
| 17 | Dysin Mayo | Texas Stars (DAL) | D | 65 | 2 | 13 | 15 | -14 | 56 | 0 | 119 | 42 | 12 | 21 | 4.76% | 58 | 15.18 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 1 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | 0.06 | |||
| 18 | Nicholas Robertson | Texas Stars (DAL) | LW | 39 | 5 | 5 | 10 | -3 | 6 | 0 | 14 | 54 | 13 | 29 | 9.26% | 6 | 6.81 | 0 | 1 | 1 | 0 | 0 | 0 | 11 | 0 | 1 | 41.86% | 0 | 0 | 0.26 | 0 | 0 | 0.24 | |||
| 19 | Jackson Van De Leest | Texas Stars (DAL) | D | 29 | 1 | 4 | 5 | 13 | 22 | 0 | 42 | 13 | 3 | 8 | 7.69% | 29 | 14.50 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.26 | |||
| 20 | Felix Robert | Texas Stars (DAL) | C | 12 | 0 | 2 | 2 | -6 | 0 | 0 | 9 | 8 | 0 | 3 | 0.00% | 1 | 7.01 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 44.23% | 0 | 0 | 0.17 | 0 | 0 | -0.02 | |||
| 21 | Kyle Masters | Texas Stars (DAL) | D | 14 | 0 | 1 | 1 | 7 | 8 | 0 | 14 | 3 | 2 | 8 | 0.00% | 18 | 13.78 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 0 | 0.24 | |||
| 22 | Nico Myatovic | Texas Stars (DAL) | LW | 35 | 0 | 1 | 1 | 1 | 2 | 0 | 0 | 4 | 0 | 1 | 0.00% | 1 | 1.11 | 0 | 1 | 1 | 0 | 0 | 0 | 13 | 0 | 0 | 25.00% | 0 | 0 | 0.03 | 0 | 0 | 0.03 | |||
| 23 | Karl Henriksson | Texas Stars (DAL) | C | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| Team Total or Average | 1397 | 280 | 494 | 774 | 39 | 649 | 45 | 1878 | 2635 | 801 | 1905 | 10.63% | 720 | 16.27 | 66 | 126 | 192 | 2496 | 4 | 6 | 10 | 1873 | 38 | 15 | 49.68% | 7583 | 0 | 0 | 1 | 5 | 0.68 | 6 | 18 |
| 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 | Erik Portillo | Texas Stars (DAL) | 72 | 38 | 24 | 4 | 0.894 | 3.56 | 3931 | 6 | 3 | 233 | 2199 | 0 | 0 | 0 | 0.688 | 16 | 70 | 11 | 4 | 1 | 1 |
| 2 | Connor Hughes | Texas Stars (DAL) | 23 | 4 | 12 | 0 | 0.914 | 2.98 | 1026 | 0 | 0 | 51 | 590 | 0 | 0 | 0 | 1.000 | 3 | 12 | 70 | 2 | 0 | 0 |
| Team Total or Average | 95 | 42 | 36 | 4 | 0.898 | 3.44 | 4957 | 6 | 3 | 284 | 2789 | 0 | 0 | 0 | 0.737 | 19 | 82 | 81 | 6 | 1 | 1 |
| Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Aleksi Heimosalmi | D | 22 | 880,000$ | 880,000$ | 880,000$ | RFA | |||||
Angus Booth | D | 21 | 826,667$ | 826,667$ | 826,667$ | 826,667$ | RFA | ||||
Brogan Rafferty ![]() | D | 30 | 775,000$ | 775,000$ | UFA | ||||||
Calen Addison ![]() | D | 25 | 825,000$ | 825,000$ | 775,000$ | UFA | |||||
Cameron Crotty ![]() | D | 26 | 775,000$ | 775,000$ | 812,500$ | 812,500$ | UFA | ||||
Connor Hughes ![]() | G | 29 | 775,000$ | 775,000$ | UFA | ||||||
Cooper Gay | LW | 24 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Dysin Mayo ![]() | D | 29 | 950,000$ | 950,000$ | 775,000$ | UFA | |||||
Erik Portillo ![]() | G | 25 | 783,333$ | 783,333$ | 783,333$ | 783,333$ | UFA | ||||
Felix Robert ![]() | C | 26 | 950,000$ | 950,000$ | UFA | ||||||
Fraser Minten | C | 21 | 816,666$ | 816,666$ | 816,666$ | 816,666$ | RFA | ||||
Grigori Denisenko ![]() | LW | 25 | 775,000$ | 775,000$ | RFA | ||||||
Jackson Van De Leest | D | 24 | 775,000$ | 775,000$ | RFA | ||||||
Jakub Stancl | C | 20 | 919,667$ | 919,667$ | 885,778$ | 885,778$ | 885,778$ | RFA | |||
Jani Nyman | C/RW | 21 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Joel Teasdale ![]() | LW | 27 | 775,000$ | 775,000$ | UFA | ||||||
Justin Ertel | LW | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Karl Henriksson ![]() | C | 25 | 925,000$ | 925,000$ | RFA | ||||||
Konsta Helenius | C | 19 | 1,575,000$ | 1,575,000$ | 1,542,500$ | 1,542,500$ | 1,542,500$ | RFA | |||
Kyle Masters | D | 22 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Lleyton Moore | D | 24 | 775,000$ | 775,000$ | RFA | ||||||
Nate Danielson | C | 21 | 1,918,333$ | 1,918,333$ | 1,886,666$ | 1,886,666$ | 1,886,666$ | RFA | |||
Nicholas Robertson | LW | 24 | 875,000$ | 875,000$ | 1,825,000$ | RFA | |||||
Nico Myatovic | LW | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Nikita Alexandrov ![]() | C | 25 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Oliver Okuliar ![]() | C | 25 | 950,000$ | 950,000$ | RFA | ||||||
Olof Lindbom ![]() | G | 25 | 750,000$ | 750,000$ | RFA | ||||||
Samuel Honzek | LW | 21 | 1,418,333$ | 1,418,333$ | 1,386,666$ | 1,386,666$ | 1,386,666$ | RFA | |||
Skyler Brind'Amour ![]() | C | 26 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Vinni Lettieri ![]() | C | 31 | 775,000$ | 775,000$ | UFA | ||||||
Zach Benson | LW | 20 | 1,600,000$ | 1,600,000$ | 1,600,000$ | RFA |
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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 | Checkers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 116 | 80 | 91 | 14 | 60 | 963 | 942 | 919 | 48 | 69 | 18 | 24 | 45 | 6 | 2 | 33.33% | 9 | 1 | 88.89% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 33.3% | 8.3% | 89.9% | 98.2 | Unlucky |
| 2 | Marlies | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 116 | 80 | 91 | 14 | 61 | 963 | 942 | 919 | 48 | 68 | 15 | 14 | 62 | 6 | 2 | 33.33% | 7 | 1 | 85.71% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 33.3% | 6.6% | 92.6% | 99.2 | DULL |
| 3 | Americans | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 116 | 80 | 91 | 14 | 58 | 963 | 942 | 919 | 48 | 75 | 24 | 21 | 53 | 8 | 2 | 25.00% | 8 | 1 | 87.50% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 33.3% | 8.6% | 90.7% | 99.3 | Unlucky |
| 4 | Binghamton Senateurs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 116 | 80 | 91 | 14 | 66 | 963 | 942 | 919 | 48 | 74 | 28 | 20 | 49 | 10 | 1 | 10.00% | 10 | 4 | 60.00% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 66.7% | 4.5% | 93.2% | 97.8 | DULL |
| 5 | Bears | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 116 | 80 | 91 | 14 | 70 | 963 | 942 | 919 | 48 | 67 | 20 | 20 | 55 | 9 | 1 | 11.11% | 10 | 4 | 60.00% | 1 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 58.3% | 11.4% | 86.6% | 98.0 | FUN |
| 6 | Rockets | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 116 | 80 | 91 | 14 | 58 | 963 | 942 | 919 | 48 | 76 | 20 | 26 | 56 | 6 | 1 | 16.67% | 11 | 1 | 90.91% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 55.6% | 10.3% | 93.4% | 103.8 | LUCKY |
| 7 | Providence Bruins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 116 | 80 | 91 | 14 | 60 | 963 | 942 | 919 | 48 | 76 | 20 | 24 | 53 | 9 | 2 | 22.22% | 12 | 2 | 83.33% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 33.3% | 8.3% | 89.5% | 97.8 | Unlucky |
| 8 | Wolves | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 116 | 80 | 91 | 14 | 68 | 963 | 942 | 919 | 48 | 67 | 18 | 12 | 49 | 3 | 2 | 66.67% | 5 | 1 | 80.00% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 46.7% | 13.2% | 86.6% | 99.8 | FUN |
| 9 | Eagles | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 17 | 12 | 5 | 6 | 0.750 | 17 | 31 | 48 | 0 | 1 | 116 | 80 | 91 | 14 | 148 | 963 | 942 | 919 | 48 | 145 | 45 | 24 | 76 | 15 | 2 | 13.33% | 11 | 1 | 90.91% | 1 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 57.7% | 11.5% | 91.7% | 103.2 | LUCKY |
| 10 | Phantoms | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 116 | 80 | 91 | 14 | 67 | 963 | 942 | 919 | 48 | 66 | 19 | 14 | 54 | 11 | 3 | 27.27% | 7 | 2 | 71.43% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 55.6% | 11.9% | 90.9% | 102.8 | FUN |
| 11 | Wolf Pack | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 12 | 14 | -2 | 2 | 0.333 | 12 | 23 | 35 | 0 | 0 | 116 | 80 | 91 | 14 | 88 | 963 | 942 | 919 | 48 | 113 | 30 | 30 | 71 | 13 | 3 | 23.08% | 15 | 5 | 66.67% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 50.0% | 13.6% | 87.6% | 101.2 | FUN |
| 12 | islanders | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 116 | 80 | 91 | 14 | 67 | 963 | 942 | 919 | 48 | 69 | 25 | 22 | 46 | 8 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 33.3% | 4.5% | 89.9% | 94.3 | Unlucky |
| 13 | IceHogs | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 15 | 15 | 0 | 4 | 0.500 | 15 | 27 | 42 | 0 | 0 | 116 | 80 | 91 | 14 | 144 | 963 | 942 | 919 | 48 | 153 | 37 | 54 | 99 | 17 | 5 | 29.41% | 21 | 8 | 61.90% | 1 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 58.8% | 10.4% | 90.2% | 100.6 | FUN |
| 14 | Griffins | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 116 | 80 | 91 | 14 | 70 | 963 | 942 | 919 | 48 | 63 | 26 | 12 | 42 | 7 | 2 | 28.57% | 6 | 0 | 100.00% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 61.5% | 14.3% | 92.1% | 106.3 | LUCKY |
| 15 | Monsters | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 116 | 80 | 91 | 14 | 72 | 963 | 942 | 919 | 48 | 77 | 23 | 18 | 45 | 8 | 3 | 37.50% | 9 | 4 | 55.56% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 50.0% | 9.7% | 89.6% | 99.3 | FUN |
| 16 | Barracuda | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 14 | 10 | 4 | 5 | 0.833 | 14 | 26 | 40 | 0 | 0 | 116 | 80 | 91 | 14 | 107 | 963 | 942 | 919 | 48 | 109 | 31 | 24 | 64 | 12 | 3 | 25.00% | 12 | 2 | 83.33% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 57.9% | 13.1% | 90.8% | 103.9 | FUN |
| 17 | Condors | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 2 | 0.500 | 12 | 22 | 34 | 0 | 0 | 116 | 80 | 91 | 14 | 71 | 963 | 942 | 919 | 48 | 65 | 25 | 24 | 42 | 8 | 4 | 50.00% | 11 | 2 | 81.82% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 61.5% | 16.9% | 89.2% | 106.1 | FUN |
| 18 | Iowa Wild | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 18 | -7 | 2 | 0.250 | 11 | 19 | 30 | 0 | 0 | 116 | 80 | 91 | 14 | 166 | 963 | 942 | 919 | 48 | 139 | 51 | 33 | 97 | 19 | 3 | 15.79% | 13 | 5 | 61.54% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 38.1% | 6.6% | 87.1% | 93.7 | Unlucky |
| 19 | Reign | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 116 | 80 | 91 | 14 | 72 | 963 | 942 | 919 | 48 | 66 | 10 | 24 | 58 | 5 | 1 | 20.00% | 10 | 2 | 80.00% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 55.6% | 8.3% | 90.9% | 99.2 | Unlucky |
| 20 | Thunderbirds | 4 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 11 | 14 | -3 | 3 | 0.375 | 11 | 18 | 29 | 0 | 0 | 116 | 80 | 91 | 14 | 120 | 963 | 942 | 919 | 48 | 150 | 41 | 43 | 98 | 14 | 2 | 14.29% | 18 | 5 | 72.22% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 50.0% | 9.2% | 90.7% | 99.8 | FUN |
| 21 | Wranglers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 116 | 80 | 91 | 14 | 51 | 963 | 942 | 919 | 48 | 75 | 23 | 18 | 54 | 10 | 1 | 10.00% | 9 | 1 | 88.89% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 37.5% | 7.8% | 92.0% | 99.8 | DULL |
| 22 | Gulls | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 116 | 80 | 91 | 14 | 62 | 963 | 942 | 919 | 48 | 77 | 25 | 20 | 57 | 5 | 2 | 40.00% | 9 | 1 | 88.89% | 1 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 54.5% | 12.9% | 92.2% | 105.1 | LUCKY |
| 23 | Canucks | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 8 | 3 | 4 | 1.000 | 11 | 20 | 31 | 0 | 0 | 116 | 80 | 91 | 14 | 86 | 963 | 942 | 919 | 48 | 68 | 17 | 10 | 50 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 52.9% | 12.8% | 88.2% | 101.0 | FUN |
| 24 | Comets | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 116 | 80 | 91 | 14 | 84 | 963 | 942 | 919 | 48 | 54 | 16 | 8 | 62 | 11 | 2 | 18.18% | 3 | 1 | 66.67% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 42.9% | 6.0% | 90.7% | 96.7 | Unlucky |
| 25 | W-B/Scranton Penguins | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 10 | 0 | 4 | 0.667 | 10 | 17 | 27 | 0 | 0 | 116 | 80 | 91 | 14 | 102 | 963 | 942 | 919 | 48 | 98 | 25 | 22 | 73 | 8 | 1 | 12.50% | 11 | 2 | 81.82% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 52.9% | 9.8% | 89.8% | 99.6 | FUN |
| 26 | Roadrunners | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 20 | 14 | 6 | 6 | 0.750 | 20 | 36 | 56 | 0 | 0 | 116 | 80 | 91 | 14 | 145 | 963 | 942 | 919 | 48 | 125 | 30 | 31 | 98 | 14 | 5 | 35.71% | 12 | 3 | 75.00% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 57.7% | 13.8% | 88.8% | 102.6 | FUN |
| 27 | Crunch | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 2 | 0.500 | 10 | 18 | 28 | 0 | 0 | 116 | 80 | 91 | 14 | 81 | 963 | 942 | 919 | 48 | 46 | 9 | 8 | 50 | 9 | 2 | 22.22% | 4 | 2 | 50.00% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 53.3% | 12.3% | 80.4% | 92.8 | FUN |
| 28 | Admirals | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 20 | 16 | 4 | 6 | 0.750 | 20 | 39 | 59 | 0 | 0 | 116 | 80 | 91 | 14 | 147 | 963 | 942 | 919 | 48 | 126 | 37 | 20 | 93 | 22 | 6 | 27.27% | 10 | 3 | 70.00% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 51.9% | 13.6% | 87.3% | 100.9 | FUN |
| 29 | Moose | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 22 | 23 | -1 | 4 | 0.333 | 22 | 40 | 62 | 0 | 0 | 116 | 80 | 91 | 14 | 214 | 963 | 942 | 919 | 48 | 187 | 60 | 31 | 134 | 20 | 4 | 20.00% | 13 | 3 | 76.92% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 47.4% | 10.3% | 87.7% | 98.0 | FUN |
| 30 | Silver Knights | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 0.667 | 11 | 20 | 31 | 0 | 1 | 116 | 80 | 91 | 14 | 114 | 963 | 942 | 919 | 48 | 90 | 17 | 23 | 71 | 11 | 3 | 27.27% | 8 | 3 | 62.50% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 66.7% | 9.6% | 92.2% | 101.9 | LUCKY |
| 31 | Firebirds | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 5 | 1 | 3 | 0.750 | 6 | 11 | 17 | 0 | 1 | 116 | 80 | 91 | 14 | 74 | 963 | 942 | 919 | 48 | 56 | 18 | 17 | 56 | 6 | 1 | 16.67% | 6 | 0 | 100.00% | 0 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 50.0% | 8.1% | 91.1% | 99.2 | Unlucky |
| _Vs Division | 30 | 11 | 14 | 0 | 4 | 1 | 0 | 0 | 116 | 112 | 4 | 31 | 0.517 | 116 | 210 | 326 | 0 | 1 | 116 | 80 | 91 | 14 | 1084 | 963 | 942 | 919 | 48 | 1025 | 301 | 236 | 695 | 121 | 27 | 22.31% | 98 | 28 | 71.43% | 2 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 51.4% | 10.7% | 89.1% | 99.8 | FUN | |
| _Vs Conference | 48 | 21 | 18 | 0 | 4 | 1 | 2 | 2 | 188 | 167 | 21 | 57 | 0.594 | 188 | 339 | 527 | 0 | 3 | 116 | 80 | 91 | 14 | 1721 | 963 | 942 | 919 | 48 | 1631 | 467 | 396 | 1147 | 186 | 44 | 23.66% | 167 | 39 | 76.65% | 3 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 52.9% | 10.9% | 89.8% | 100.7 | FUN | |
| _Since Last GM Reset | 82 | 31 | 36 | 0 | 8 | 2 | 3 | 2 | 298 | 286 | 12 | 88 | 0.537 | 298 | 533 | 831 | 0 | 3 | 116 | 80 | 91 | 14 | 2853 | 963 | 942 | 919 | 48 | 2789 | 803 | 691 | 2012 | 318 | 73 | 22.96% | 304 | 71 | 76.64% | 4 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 51.1% | 10.4% | 89.7% | 100.2 | FUN | |
| Total | 82 | 31 | 36 | 0 | 8 | 2 | 3 | 2 | 298 | 286 | 12 | 88 | 0.537 | 298 | 533 | 831 | 0 | 3 | 116 | 80 | 91 | 14 | 2853 | 963 | 942 | 919 | 48 | 2789 | 803 | 691 | 2012 | 318 | 73 | 22.96% | 304 | 71 | 76.64% | 4 | 1485 | 2922 | 50.82% | 1434 | 2899 | 49.47% | 681 | 1400 | 48.64% | 1911 | 1279 | 1951 | 640 | 1099 | 543 | 51.1% | 10.4% | 89.7% | 100.2 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2922 |
| Neutral Zone Start | 1400 |
| Defensive Zone Start | 2899 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3600 |
| Faceoffs Lost | 3621 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.7 | 9.57 |
| 2nd Period | 23.2 | 20.31 |
| 3rd Period | 34.4 | 30.68 |
| Overtime | 35.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.4 | 0.64 |
| 2nd Period | 2.4 | 1.65 |
| 3rd Period | 3.5 | 2.67 |
| Overtime | 3.7 | 2.83 |
| Even Strenght Goal | 221 |
|---|---|
| PP Goal | 73 |
| PK Goal | 4 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 27 | 15 |
| Lost | 13 | 23 |
| Overtime Lost | 1 | 3 |
| PP Attempt | 318 |
|---|---|
| PP Goal | 73 |
| PK Attempt | 304 |
| PK Goal Against | 71 |
| Home | |
|---|---|
| Shots For | 34.8 |
| Shots Against | 34.0 |
| Goals For | 3.6 |
| Goals Against | 3.5 |
| Hits | 24.5 |
| Shots Blocked | 9.8 |
| Pim | 8.4 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,938,133$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Texas | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 25$ | 15$ | $ | $ | $ |
| Attendance | 79933 | 39409 | |||
| Attendance PCT | 97.48% | 96.12% | 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 |
| 0 | 2911 - 97.03% | 94,105$ | 3,858,297$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,938,133$ | 2,938,133$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,972,878$ | 0$ | 2,958,882$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 16,414$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 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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