*** Dernier droit pour les séries ou le mix ... Bonne chance!!!! ***
Last update: 2025-04-19 22:29:39
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Connor Zary | 0 | C | 100.00 | 66 | 47 | 77 | 69 | 66 | 71 | 70 | 67 | 68 | 65 | 68 | 68 | 57 | 56 | 57 | 0 | 50 | 70 | 23 | 1,005,000$/2yrs | |||
Nicholas Robertson | 0 | LW | 100.00 | 68 | 43 | 92 | 72 | 72 | 62 | 65 | 63 | 54 | 65 | 69 | 67 | 55 | 57 | 58 | 0 | 50 | 69 | 23 | 796,667$/2yrs | |||
Sheldon Rempal | 0 | RW | 100.00 | 56 | 58 | 69 | 67 | 60 | 69 | 66 | 64 | 56 | 60 | 64 | 62 | 57 | 67 | 60 | 0 | 50 | 66 | 29 | 762,500$/1yrs | |||
Bobby Brink | 0 | C | 100.00 | 64 | 47 | 82 | 65 | 62 | 66 | 66 | 63 | 55 | 61 | 65 | 65 | 63 | 56 | 56 | 0 | 50 | 66 | 23 | 1,137,500$/3yrs | |||
Vinni Lettieri | 0 | C | 100.00 | 66 | 49 | 77 | 63 | 69 | 60 | 65 | 60 | 72 | 59 | 63 | 68 | 57 | 63 | 60 | 0 | 50 | 66 | 30 | 775,000$/2yrs | |||
Grigori Denisenko | 0 | LW | 100.00 | 58 | 54 | 69 | 64 | 65 | 68 | 66 | 64 | 55 | 63 | 61 | 63 | 55 | 59 | 56 | 0 | 50 | 65 | 24 | 775,000$/2yrs | |||
Vitali Kravtsov | 0 | RW | 100.00 | 74 | 38 | 83 | 68 | 66 | 59 | 62 | 54 | 49 | 67 | 58 | 65 | 51 | 53 | 55 | 0 | 50 | 65 | 25 | 875,000$/1yrs | |||
Ruslan Iskhakov | 0 | C | 100.00 | 56 | 60 | 68 | 63 | 57 | 70 | 67 | 65 | 56 | 63 | 61 | 63 | 64 | 59 | 55 | 0 | 50 | 65 | 24 | 925,000$/1yrs | |||
Nikita Alexandrov | 0 | C | 100.00 | 66 | 46 | 82 | 64 | 65 | 57 | 60 | 56 | 63 | 60 | 58 | 67 | 55 | 57 | 57 | 0 | 50 | 64 | 24 | 880,000$/2yrs | |||
Felix Robert | 0 | C | 100.00 | 56 | 57 | 67 | 60 | 56 | 66 | 64 | 61 | 70 | 59 | 60 | 63 | 54 | 60 | 56 | 0 | 50 | 63 | 25 | 950,000$/1yrs | |||
Joel Teasdale | 0 | LW | 100.00 | 55 | 57 | 68 | 60 | 68 | 67 | 65 | 58 | 55 | 56 | 59 | 62 | 54 | 60 | 56 | 0 | 50 | 63 | 26 | 750,000$/1yrs | |||
Karl Henriksson | 0 | C | 100.00 | 54 | 59 | 68 | 58 | 59 | 68 | 66 | 58 | 55 | 57 | 58 | 64 | 54 | 56 | 54 | 0 | 50 | 62 | 24 | 925,000$/1yrs | |||
Calen Addison | 0 | D | 100.00 | 62 | 40 | 80 | 69 | 66 | 76 | 79 | 60 | 40 | 67 | 58 | 73 | 54 | 58 | 58 | 0 | 50 | 68 | 25 | 825,000$/1yrs | |||
Michael Kesselring | 0 | D | 100.00 | 65 | 63 | 69 | 69 | 69 | 72 | 71 | 60 | 41 | 63 | 60 | 74 | 55 | 58 | 58 | 0 | 50 | 68 | 25 | 925,000$/3yrs | |||
Brogan Rafferty | 0 | D | 100.00 | 54 | 55 | 68 | 61 | 66 | 68 | 65 | 61 | 40 | 61 | 56 | 65 | 54 | 67 | 60 | 0 | 50 | 64 | 29 | 775,000$/2yrs | |||
Cameron Crotty | 0 | D | 100.00 | 56 | 55 | 69 | 59 | 73 | 67 | 65 | 57 | 41 | 57 | 55 | 64 | 55 | 60 | 56 | 0 | 50 | 63 | 25 | 775,000$/2yrs | |||
Xavier Bouchard | 82 | D | 100.00 | 52 | 51 | 64 | 52 | 64 | 55 | 55 | 51 | 38 | 52 | 51 | 57 | 51 | 54 | 51 | 0 | 50 | 56 | 25 | 750,000$/1yrs | |||
Kyle Masters (R) | 0 | D | 100.00 | 52 | 51 | 67 | 52 | 62 | 55 | 54 | 52 | 38 | 52 | 51 | 58 | 51 | 51 | 49 | 0 | 50 | 56 | 22 | 900,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Zach Benson (R) | 0 | LW | 100.00 | 67 | 38 | 73 | 69 | 61 | 67 | 71 | 62 | 50 | 61 | 64 | 67 | 51 | 53 | 55 | 0 | 50 | 67 | 19 | 1,600,000$/3yrs | |||
Aleksi Heponiemi | 0 | C | 100.00 | 52 | 54 | 66 | 57 | 51 | 63 | 60 | 57 | 65 | 59 | 56 | 59 | 51 | 55 | 52 | 0 | 50 | 60 | 26 | 775,000$/1yrs | |||
Denis Gurianov | 0 | RW | 100.00 | 52 | 54 | 66 | 56 | 69 | 57 | 56 | 57 | 52 | 56 | 55 | 60 | 51 | 61 | 55 | 0 | 50 | 60 | 27 | 850,000$/1yrs | |||
Cameron Hillis | 0 | C | 100.00 | 55 | 54 | 69 | 54 | 58 | 56 | 56 | 54 | 70 | 54 | 54 | 60 | 55 | 58 | 55 | 0 | 50 | 58 | 24 | 910,000$/1yrs | |||
Nico Myatovic (R) | 0 | LW | 100.00 | 51 | 51 | 67 | 52 | 67 | 53 | 53 | 51 | 52 | 51 | 51 | 56 | 51 | 49 | 48 | 0 | 50 | 56 | 20 | 950,000$/4yrs | |||
Lleyton Moore | 0 | D | 100.00 | 52 | 52 | 67 | 52 | 55 | 54 | 53 | 52 | 38 | 52 | 52 | 58 | 51 | 52 | 50 | 0 | 50 | 56 | 23 | 750,000$/1yrs | |||
Jackson Van De Leest | 0 | D | 100.00 | 51 | 51 | 67 | 51 | 57 | 52 | 52 | 51 | 38 | 51 | 51 | 57 | 51 | 54 | 51 | 0 | 50 | 55 | 23 | 750,000$/1yrs | |||
Benjamin Zloty | 0 | D | 100.00 | 51 | 51 | 67 | 51 | 63 | 52 | 52 | 51 | 38 | 51 | 51 | 56 | 51 | 52 | 50 | 0 | 50 | 55 | 23 | 750,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dustin Wolf | 0 | 100.00 | 69 | 68 | 68 | 61 | 70 | 73 | 71 | 69 | 66 | 65 | 58 | 55 | 52 | 0 | 50 | 69 | 24 | 825,000$/3yrs |
Erik Portillo | 0 | 100.00 | 66 | 66 | 66 | 70 | 65 | 58 | 66 | 67 | 58 | 62 | 61 | 55 | 51 | 0 | 50 | 65 | 24 | 875,000$/4yrs |
| Scratches | ||||||||||||||||||||
Arvid Holm | 0 | 100.00 | 59 | 60 | 60 | 72 | 65 | 56 | 67 | 59 | 58 | 60 | 68 | 61 | 56 | 0 | 50 | 62 | 26 | 775,000$/1yrs |
Kasimir Kaskisuo | 0 | 100.00 | 56 | 56 | 55 | 61 | 61 | 51 | 66 | 56 | 58 | 57 | 52 | 69 | 60 | 0 | 50 | 59 | 31 | 775,000$/1yrs |
Beck Warm | 0 | 100.00 | 51 | 51 | 51 | 62 | 61 | 51 | 63 | 51 | 54 | 52 | 62 | 55 | 51 | 0 | 50 | 56 | 25 | 750,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Georges Laracque | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 48 | 5 | 0$ |
| 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 | Connor Zary | Texas Stars (DAL) | C | 79 | 47 | 54 | 101 | 6 | 34 | 0 | 140 | 373 | 87 | 251 | 12.60% | 22 | 22.08 | 10 | 17 | 27 | 0 | 0 | 0 | 179 | 9 | 6 | 51.42% | 1 | 4 | 1.28 | 0 | 4 | 1.29 | |||
| 2 | Nicholas Robertson | Texas Stars (DAL) | LW | 81 | 43 | 50 | 93 | 6 | 26 | 0 | 90 | 359 | 100 | 252 | 11.98% | 26 | 21.19 | 12 | 9 | 21 | 1 | 0 | 1 | 145 | 5 | 1 | 45.30% | 3 | 3 | 1.15 | 1 | 4 | 1.20 | |||
| 3 | Michael Kesselring | Texas Stars (DAL) | D | 79 | 11 | 59 | 70 | -7 | 52 | 0 | 149 | 156 | 56 | 105 | 7.05% | 103 | 20.68 | 6 | 14 | 20 | 0 | 0 | 0 | 158 | 0 | 0 | 0.00% | 0 | 0 | 0.89 | 0 | 0 | 0.71 | |||
| 4 | Vinni Lettieri | Texas Stars (DAL) | C | 76 | 28 | 41 | 69 | 12 | 26 | 0 | 136 | 249 | 68 | 181 | 11.24% | 18 | 18.32 | 5 | 17 | 22 | 0 | 0 | 0 | 56 | 2 | 0 | 54.26% | 1 | 1 | 0.91 | 1 | 1 | 0.97 | |||
| 5 | Calen Addison | Texas Stars (DAL) | D | 73 | 14 | 52 | 66 | -10 | 52 | 0 | 140 | 196 | 62 | 111 | 7.14% | 117 | 24.22 | 5 | 13 | 18 | 0 | 1 | 1 | 179 | 2 | 1 | 0.00% | 0 | 0 | 0.90 | 0 | 0 | 0.77 | |||
| 6 | Bobby Brink | Texas Stars (DAL) | C | 79 | 26 | 32 | 58 | 0 | 12 | 0 | 93 | 267 | 75 | 161 | 9.74% | 23 | 19.21 | 8 | 8 | 16 | 0 | 0 | 0 | 161 | 4 | 1 | 46.14% | 0 | 1 | 0.73 | 0 | 0 | 0.77 | |||
| 7 | Vitali Kravtsov | Texas Stars (DAL) | RW | 82 | 20 | 36 | 56 | 7 | 22 | 0 | 181 | 232 | 48 | 141 | 8.62% | 15 | 18.45 | 5 | 10 | 15 | 0 | 0 | 0 | 70 | 1 | 2 | 43.46% | 0 | 1 | 0.68 | 0 | 1 | 0.75 | |||
| 8 | Zach Benson | Texas Stars (DAL) | LW | 78 | 28 | 26 | 54 | -9 | 20 | 0 | 102 | 255 | 66 | 144 | 10.98% | 16 | 17.50 | 6 | 4 | 10 | 0 | 0 | 0 | 59 | 4 | 0 | 39.17% | 0 | 1 | 0.69 | 0 | 1 | 0.70 | |||
| 9 | Cameron Crotty | Texas Stars (DAL) | D | 82 | 17 | 35 | 52 | -13 | 64 | 0 | 150 | 120 | 43 | 88 | 14.17% | 123 | 21.89 | 7 | 11 | 18 | 0 | 0 | 0 | 193 | 1 | 1 | 0.00% | 0 | 0 | 0.63 | 0 | 0 | 0.49 | |||
| 10 | Grigori Denisenko | Texas Stars (DAL) | LW | 82 | 19 | 32 | 51 | -4 | 45 | 5 | 90 | 206 | 57 | 155 | 9.22% | 14 | 15.78 | 0 | 5 | 5 | 0 | 0 | 0 | 53 | 3 | 1 | 50.76% | 0 | 0 | 0.62 | 0 | 0 | 0.57 | |||
| 11 | Sheldon Rempal | Texas Stars (DAL) | RW | 77 | 18 | 29 | 47 | 8 | 23 | 5 | 60 | 193 | 59 | 136 | 9.33% | 17 | 14.60 | 0 | 5 | 5 | 0 | 0 | 0 | 7 | 3 | 2 | 45.62% | 0 | 0 | 0.61 | 0 | 0 | 0.64 | |||
| 12 | Brogan Rafferty | Texas Stars (DAL) | D | 70 | 6 | 37 | 43 | 3 | 37 | 5 | 100 | 103 | 26 | 64 | 5.83% | 106 | 20.08 | 2 | 6 | 8 | 0 | 0 | 0 | 134 | 1 | 0 | 0.00% | 0 | 0 | 0.61 | 0 | 0 | 0.56 | |||
| 13 | Lleyton Moore | Texas Stars (DAL) | D | 73 | 4 | 14 | 18 | 18 | 32 | 0 | 100 | 42 | 13 | 35 | 9.52% | 83 | 19.52 | 0 | 3 | 3 | 0 | 0 | 0 | 159 | 1 | 1 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.32 | |||
| 14 | Nikita Alexandrov | Texas Stars (DAL) | C | 82 | 6 | 11 | 17 | 14 | 14 | 0 | 44 | 80 | 21 | 53 | 7.50% | 8 | 6.14 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 53.20% | 0 | 0 | 0.21 | 0 | 0 | 0.27 | |||
| 15 | Xavier Bouchard | Texas Stars (DAL) | D | 55 | 2 | 6 | 8 | 7 | 34 | 0 | 75 | 18 | 10 | 14 | 11.11% | 46 | 16.19 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 0 | 0 | 0.00% | 0 | 0 | 0.15 | 0 | 0 | 0.14 | |||
| 16 | Felix Robert | Texas Stars (DAL) | C | 37 | 1 | 6 | 7 | 3 | 2 | 0 | 20 | 19 | 4 | 16 | 5.26% | 5 | 4.99 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 55.96% | 0 | 0 | 0.19 | 0 | 0 | 0.21 | |||
| 17 | Ruslan Iskhakov | Texas Stars (DAL) | C | 77 | 4 | 3 | 7 | -8 | 2 | 0 | 27 | 48 | 9 | 35 | 8.33% | 5 | 3.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 40.48% | 0 | 0 | 0.09 | 0 | 0 | 0.09 | |||
| 18 | Denis Gurianov | Texas Stars (DAL) | RW | 7 | 3 | 3 | 6 | 3 | 0 | 0 | 1 | 17 | 3 | 7 | 17.65% | 2 | 11.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.86 | 0 | 0 | 0.96 | |||
| 19 | Kyle Masters | Texas Stars (DAL) | D | 40 | 0 | 5 | 5 | -3 | 26 | 0 | 55 | 15 | 5 | 10 | 0.00% | 48 | 15.18 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0.13 | 0 | 0 | 0.07 | |||
| 20 | Joel Teasdale | Texas Stars (DAL) | LW | 26 | 1 | 2 | 3 | -4 | 6 | 0 | 8 | 18 | 7 | 18 | 5.56% | 1 | 5.83 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 78.95% | 0 | 0 | 0.12 | 0 | 0 | 0.06 | |||
| 21 | Aleksi Heponiemi | Texas Stars (DAL) | C | 5 | 0 | 2 | 2 | 0 | 2 | 0 | 3 | 12 | 1 | 3 | 0.00% | 0 | 13.40 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 50.00% | 0 | 0 | 0.40 | 0 | 0 | 0.36 | |||
| 22 | Benjamin Zloty | Texas Stars (DAL) | D | 10 | 0 | 2 | 2 | 0 | 4 | 0 | 11 | 2 | 2 | 3 | 0.00% | 9 | 14.79 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.16 | |||
| 23 | Jackson Van De Leest | Texas Stars (DAL) | D | 4 | 0 | 1 | 1 | 1 | 2 | 0 | 5 | 3 | 0 | 0 | 0.00% | 2 | 12.53 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.26 | |||
| 24 | Karl Henriksson | Texas Stars (DAL) | C | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| Team Total or Average | 1357 | 298 | 538 | 836 | 30 | 537 | 15 | 1780 | 2983 | 822 | 1983 | 9.99% | 809 | 16.71 | 66 | 123 | 189 | 2770 | 1 | 1 | 2 | 1666 | 39 | 16 | 49.11% | 6948 | 0 | 0 | 5 | 11 | 0.74 | 2 | 11 |
| 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) | 49 | 23 | 18 | 4 | 0.877 | 4.02 | 2671 | 2 | 0 | 179 | 1459 | 0 | 0 | 1 | 0.750 | 4 | 48 | 25 | 1 | 1 | 0 |
| 2 | Dustin Wolf | Texas Stars (DAL) | 19 | 11 | 8 | 0 | 0.916 | 2.62 | 1144 | 0 | 2 | 50 | 598 | 0 | 1 | 2 | 1.000 | 3 | 19 | 0 | 2 | 0 | 0 |
| 3 | Arvid Holm | Texas Stars (DAL) | 22 | 10 | 5 | 2 | 0.902 | 3.34 | 1007 | 0 | 1 | 56 | 573 | 0 | 1 | 0 | 0.667 | 6 | 14 | 49 | 1 | 1 | 0 |
| 4 | Kasimir Kaskisuo | Texas Stars (DAL) | 3 | 1 | 0 | 0 | 0.886 | 4.09 | 132 | 0 | 0 | 9 | 79 | 0 | 0 | 0 | 0.000 | 0 | 1 | 8 | 0 | 0 | 0 |
| Team Total or Average | 93 | 45 | 31 | 6 | 0.891 | 3.56 | 4956 | 2 | 3 | 294 | 2709 | 0 | 2 | 3 | 0.769 | 13 | 82 | 82 | 4 | 2 | 0 |
| Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Aleksi Heponiemi ![]() | C | 26 | 775,000$ | 775,000$ | UFA | ||||||
Arvid Holm ![]() | G | 26 | 775,000$ | 775,000$ | UFA | ||||||
Beck Warm ![]() | G | 25 | 750,000$ | 750,000$ | UFA | ||||||
Benjamin Zloty | D | 23 | 750,000$ | 750,000$ | RFA | ||||||
Bobby Brink | C | 23 | 1,137,500$ | 1,137,500$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Brogan Rafferty ![]() | D | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Calen Addison ![]() | D | 25 | 825,000$ | 825,000$ | RFA | ||||||
Cameron Crotty ![]() | D | 25 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Cameron Hillis | C | 24 | 910,000$ | 910,000$ | RFA | ||||||
Connor Zary | C | 23 | 1,005,000$ | 1,005,000$ | 1,005,000$ | RFA | |||||
Denis Gurianov ![]() | RW | 27 | 850,000$ | 850,000$ | UFA | ||||||
Dustin Wolf | G | 24 | 825,000$ | 825,000$ | 850,000$ | 850,000$ | UFA | ||||
Erik Portillo | G | 24 | 875,000$ | 875,000$ | 783,333$ | 783,333$ | 783,333$ | UFA | |||
Felix Robert ![]() | C | 25 | 950,000$ | 950,000$ | UFA | ||||||
Grigori Denisenko | LW | 24 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Jackson Van De Leest | D | 23 | 750,000$ | 750,000$ | RFA | ||||||
Joel Teasdale ![]() | LW | 26 | 750,000$ | 750,000$ | UFA | ||||||
Karl Henriksson | C | 24 | 925,000$ | 925,000$ | RFA | ||||||
Kasimir Kaskisuo ![]() | G | 31 | 775,000$ | 775,000$ | UFA | ||||||
Kyle Masters | D | 22 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | RFA | ||||
Lleyton Moore | D | 23 | 750,000$ | 750,000$ | RFA | ||||||
Michael Kesselring ![]() | D | 25 | 925,000$ | 925,000$ | 1,400,000$ | 1,400,000$ | UFA | ||||
Nicholas Robertson | LW | 23 | 796,667$ | 796,667$ | 875,000$ | RFA | |||||
Nico Myatovic | LW | 20 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | |||
Nikita Alexandrov | C | 24 | 880,000$ | 880,000$ | 775,000$ | UFA | |||||
Ruslan Iskhakov | C | 24 | 925,000$ | 925,000$ | RFA | ||||||
Sheldon Rempal ![]() | RW | 29 | 762,500$ | 762,500$ | UFA | ||||||
Vinni Lettieri ![]() | C | 30 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Vitali Kravtsov ![]() | RW | 25 | 875,000$ | 875,000$ | RFA | ||||||
Xavier Bouchard ![]() | D | 25 | 750,000$ | 750,000$ | RFA | ||||||
Zach Benson | LW | 19 | 1,600,000$ | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 118 | 121 | 76 | 8 | 37 | 1029 | 1116 | 1032 | 42 | 32 | 9 | 6 | 16 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 50.0% | 10.8% | 90.6% | 101.4 | FUN |
| 2 | Marlies | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 118 | 121 | 76 | 8 | 31 | 1029 | 1116 | 1032 | 42 | 26 | 8 | 6 | 22 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 20.0% | 3.2% | 80.8% | 84.0 | Unlucky |
| 3 | Americans | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 118 | 121 | 76 | 8 | 28 | 1029 | 1116 | 1032 | 42 | 30 | 12 | 4 | 38 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 40.0% | 14.3% | 90.0% | 104.3 | FUN |
| 4 | Binghamton Senateurs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 118 | 121 | 76 | 8 | 36 | 1029 | 1116 | 1032 | 42 | 33 | 5 | 10 | 28 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 33.3% | 2.8% | 90.9% | 93.7 | Unlucky |
| 5 | Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 118 | 121 | 76 | 8 | 26 | 1029 | 1116 | 1032 | 42 | 31 | 12 | 6 | 36 | 5 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 50.0% | 3.8% | 93.5% | 97.4 | DULL |
| 6 | Rockets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 118 | 121 | 76 | 8 | 41 | 1029 | 1116 | 1032 | 42 | 35 | 4 | 8 | 14 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 66.7% | 7.3% | 97.1% | 104.5 | DULL |
| 7 | Providence Bruins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 118 | 121 | 76 | 8 | 48 | 1029 | 1116 | 1032 | 42 | 34 | 10 | 8 | 20 | 6 | 3 | 50.00% | 2 | 1 | 50.00% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 40.0% | 10.4% | 88.2% | 98.7 | FUN |
| 8 | Wolves | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 118 | 121 | 76 | 8 | 87 | 1029 | 1116 | 1032 | 42 | 67 | 24 | 43 | 66 | 8 | 2 | 25.00% | 14 | 5 | 64.29% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 20.0% | 4.6% | 80.6% | 85.2 | Unlucky |
| 9 | Eagles | 6 | 3 | 1 | 0 | 1 | 0 | 0 | 1 | 21 | 20 | 1 | 9 | 0.750 | 21 | 41 | 62 | 0 | 0 | 118 | 121 | 76 | 8 | 233 | 1029 | 1116 | 1032 | 42 | 169 | 72 | 36 | 162 | 17 | 3 | 17.65% | 17 | 3 | 82.35% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 51.4% | 9.0% | 88.2% | 97.2 | FUN |
| 10 | Phantoms | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 118 | 121 | 76 | 8 | 32 | 1029 | 1116 | 1032 | 42 | 28 | 6 | 6 | 31 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 40.0% | 9.4% | 85.7% | 95.1 | FUN |
| 11 | Wolf Pack | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 3 | 0.750 | 8 | 16 | 24 | 0 | 0 | 118 | 121 | 76 | 8 | 71 | 1029 | 1116 | 1032 | 42 | 68 | 22 | 16 | 42 | 11 | 2 | 18.18% | 7 | 2 | 71.43% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 54.5% | 11.3% | 89.7% | 101.0 | FUN |
| 12 | islanders | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 118 | 121 | 76 | 8 | 28 | 1029 | 1116 | 1032 | 42 | 33 | 10 | 4 | 23 | 6 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 0.0% | 0.0% | 90.9% | 90.9 | Unlucky |
| 13 | IceHogs | 7 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 34 | 21 | 13 | 12 | 0.857 | 34 | 59 | 93 | 0 | 0 | 118 | 121 | 76 | 8 | 280 | 1029 | 1116 | 1032 | 42 | 245 | 67 | 44 | 165 | 28 | 8 | 28.57% | 21 | 4 | 80.95% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 60.5% | 12.1% | 91.4% | 103.6 | LUCKY |
| 14 | Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 118 | 121 | 76 | 8 | 36 | 1029 | 1116 | 1032 | 42 | 40 | 7 | 10 | 20 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 42.9% | 8.3% | 90.0% | 98.3 | Unlucky |
| 15 | Monsters | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 118 | 121 | 76 | 8 | 30 | 1029 | 1116 | 1032 | 42 | 38 | 23 | 8 | 19 | 5 | 2 | 40.00% | 4 | 1 | 75.00% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 50.0% | 16.7% | 89.5% | 106.1 | FUN |
| 16 | Barracuda | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 10 | 12 | -2 | 4 | 0.667 | 10 | 16 | 26 | 0 | 0 | 118 | 121 | 76 | 8 | 89 | 1029 | 1116 | 1032 | 42 | 126 | 33 | 22 | 87 | 12 | 1 | 8.33% | 11 | 3 | 72.73% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 50.0% | 11.2% | 90.5% | 101.7 | FUN |
| 17 | Condors | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 6 | 7 | 6 | 1.000 | 13 | 23 | 36 | 0 | 0 | 118 | 121 | 76 | 8 | 135 | 1029 | 1116 | 1032 | 42 | 64 | 18 | 14 | 77 | 16 | 1 | 6.25% | 6 | 1 | 83.33% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 70.6% | 9.6% | 90.6% | 100.3 | FUN |
| 18 | Iowa Wild | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 16 | 2 | 6 | 0.600 | 18 | 32 | 50 | 0 | 1 | 118 | 121 | 76 | 8 | 203 | 1029 | 1116 | 1032 | 42 | 149 | 45 | 32 | 121 | 22 | 3 | 13.64% | 15 | 5 | 66.67% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 57.7% | 8.9% | 89.3% | 98.1 | Unlucky |
| 19 | Reign | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 12 | 8 | 4 | 5 | 0.625 | 12 | 22 | 34 | 0 | 0 | 118 | 121 | 76 | 8 | 156 | 1029 | 1116 | 1032 | 42 | 130 | 41 | 37 | 94 | 20 | 3 | 15.00% | 14 | 2 | 85.71% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 60.0% | 7.7% | 93.8% | 101.5 | DULL |
| 20 | Thunderbirds | 5 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 25 | 18 | 7 | 6 | 0.600 | 25 | 41 | 66 | 1 | 1 | 118 | 121 | 76 | 8 | 243 | 1029 | 1116 | 1032 | 42 | 148 | 40 | 28 | 126 | 18 | 3 | 16.67% | 12 | 0 | 100.00% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 55.0% | 10.3% | 87.8% | 98.1 | FUN |
| 21 | Wranglers | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 22 | 18 | 4 | 6 | 0.750 | 22 | 42 | 64 | 0 | 1 | 118 | 121 | 76 | 8 | 170 | 1029 | 1116 | 1032 | 42 | 147 | 33 | 28 | 77 | 19 | 2 | 10.53% | 13 | 2 | 84.62% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 55.6% | 12.9% | 87.8% | 100.7 | FUN |
| 22 | Gulls | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 11 | 14 | -3 | 1 | 0.167 | 11 | 20 | 31 | 0 | 0 | 118 | 121 | 76 | 8 | 118 | 1029 | 1116 | 1032 | 42 | 117 | 38 | 16 | 70 | 7 | 1 | 14.29% | 8 | 1 | 87.50% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 43.5% | 9.3% | 88.0% | 97.4 | FUN |
| 23 | Canucks | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 13 | 11 | 2 | 4 | 0.667 | 13 | 25 | 38 | 0 | 0 | 118 | 121 | 76 | 8 | 97 | 1029 | 1116 | 1032 | 42 | 100 | 41 | 30 | 61 | 13 | 4 | 30.77% | 15 | 5 | 66.67% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 60.0% | 13.4% | 89.0% | 102.4 | FUN |
| 24 | Comets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 118 | 121 | 76 | 8 | 27 | 1029 | 1116 | 1032 | 42 | 26 | 9 | 4 | 22 | 5 | 2 | 40.00% | 2 | 2 | 0.00% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 100.0% | 11.1% | 92.3% | 103.4 | LUCKY |
| 25 | W-B/Scranton Penguins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 6 | 10 | 1 | 0 | 118 | 121 | 76 | 8 | 38 | 1029 | 1116 | 1032 | 42 | 54 | 7 | 8 | 34 | 3 | 2 | 66.67% | 4 | 1 | 75.00% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 28.6% | 10.5% | 88.9% | 99.4 | FUN |
| 26 | Roadrunners | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 20 | 17 | 3 | 6 | 0.600 | 20 | 33 | 53 | 0 | 0 | 118 | 121 | 76 | 8 | 183 | 1029 | 1116 | 1032 | 42 | 159 | 71 | 47 | 109 | 26 | 10 | 38.46% | 21 | 5 | 76.19% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 45.5% | 10.9% | 89.3% | 100.2 | FUN |
| 27 | Crunch | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 1.000 | 7 | 11 | 18 | 0 | 0 | 118 | 121 | 76 | 8 | 39 | 1029 | 1116 | 1032 | 42 | 33 | 9 | 6 | 26 | 7 | 1 | 14.29% | 3 | 1 | 66.67% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 60.0% | 17.9% | 84.8% | 102.8 | FUN |
| 28 | Admirals | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 29 | 19 | 10 | 8 | 0.800 | 29 | 54 | 83 | 0 | 0 | 118 | 121 | 76 | 8 | 220 | 1029 | 1116 | 1032 | 42 | 183 | 55 | 55 | 94 | 22 | 6 | 27.27% | 22 | 6 | 72.73% | 1 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 63.9% | 13.2% | 89.6% | 102.8 | FUN |
| 29 | Moose | 5 | 0 | 3 | 0 | 0 | 2 | 0 | 0 | 16 | 24 | -8 | 2 | 0.200 | 16 | 31 | 47 | 0 | 0 | 118 | 121 | 76 | 8 | 202 | 1029 | 1116 | 1032 | 42 | 168 | 41 | 40 | 109 | 26 | 5 | 19.23% | 19 | 3 | 84.21% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 34.4% | 7.9% | 85.7% | 93.6 | Unlucky |
| 30 | Silver Knights | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 14 | -2 | 2 | 0.333 | 12 | 23 | 35 | 0 | 0 | 118 | 121 | 76 | 8 | 129 | 1029 | 1116 | 1032 | 42 | 85 | 32 | 8 | 59 | 11 | 2 | 18.18% | 2 | 0 | 100.00% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 41.7% | 9.3% | 83.5% | 92.8 | FUN |
| 31 | Firebirds | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 10 | 12 | -2 | 2 | 0.333 | 10 | 19 | 29 | 0 | 0 | 118 | 121 | 76 | 8 | 113 | 1029 | 1116 | 1032 | 42 | 114 | 21 | 22 | 78 | 14 | 1 | 7.14% | 7 | 0 | 100.00% | 0 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 42.9% | 8.8% | 89.5% | 98.3 | Unlucky |
| _Vs Division | 38 | 21 | 12 | 0 | 1 | 2 | 1 | 1 | 163 | 135 | 28 | 49 | 0.645 | 163 | 291 | 454 | 1 | 2 | 118 | 121 | 76 | 8 | 1564 | 1029 | 1116 | 1032 | 42 | 1221 | 391 | 282 | 886 | 159 | 38 | 23.90% | 127 | 26 | 79.53% | 1 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 53.4% | 10.4% | 88.9% | 99.4 | FUN | |
| _Vs Conference | 64 | 31 | 22 | 0 | 4 | 3 | 2 | 2 | 266 | 230 | 36 | 79 | 0.617 | 266 | 481 | 747 | 1 | 3 | 118 | 121 | 76 | 8 | 2571 | 1029 | 1116 | 1032 | 42 | 2104 | 648 | 459 | 1489 | 271 | 53 | 19.56% | 203 | 40 | 80.30% | 1 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 52.9% | 10.3% | 89.1% | 99.4 | FUN | |
| _Since Last GM Reset | 82 | 38 | 31 | 0 | 5 | 4 | 2 | 2 | 322 | 299 | 23 | 96 | 0.585 | 322 | 583 | 905 | 3 | 3 | 118 | 121 | 76 | 8 | 3206 | 1029 | 1116 | 1032 | 42 | 2712 | 825 | 612 | 1946 | 354 | 72 | 20.34% | 266 | 57 | 78.57% | 1 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 50.8% | 10.0% | 89.0% | 99.0 | FUN | |
| Total | 82 | 38 | 31 | 0 | 5 | 4 | 2 | 2 | 322 | 299 | 23 | 96 | 0.585 | 322 | 583 | 905 | 3 | 3 | 118 | 121 | 76 | 8 | 3206 | 1029 | 1116 | 1032 | 42 | 2712 | 825 | 612 | 1946 | 354 | 72 | 20.34% | 266 | 57 | 78.57% | 1 | 1573 | 3217 | 48.90% | 1423 | 2826 | 50.35% | 745 | 1509 | 49.37% | 1948 | 1314 | 1901 | 637 | 1110 | 559 | 50.8% | 10.0% | 89.0% | 99.0 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 3217 |
| Neutral Zone Start | 1509 |
| Defensive Zone Start | 2826 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3741 |
| Faceoffs Lost | 3811 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 12.5 | 9.57 |
| 2nd Period | 26.2 | 20.31 |
| 3rd Period | 38.7 | 30.68 |
| Overtime | 39.3 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.4 | 0.64 |
| 2nd Period | 2.9 | 1.65 |
| 3rd Period | 3.8 | 2.67 |
| Overtime | 3.9 | 2.83 |
| Even Strenght Goal | 246 |
|---|---|
| PP Goal | 72 |
| PK Goal | 1 |
| Empty Net Goal | 3 |
| Home | Away | |
|---|---|---|
| Win | 23 | 22 |
| Lost | 15 | 16 |
| Overtime Lost | 3 | 3 |
| PP Attempt | 354 |
|---|---|
| PP Goal | 72 |
| PK Attempt | 266 |
| PK Goal Against | 57 |
| Home | |
|---|---|
| Shots For | 39.1 |
| Shots Against | 33.1 |
| Goals For | 3.9 |
| Goals Against | 3.6 |
| Hits | 23.7 |
| Shots Blocked | 10.1 |
| Pim | 7.5 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,684,167$ | 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 | 79441 | 39511 | |||
| Attendance PCT | 96.88% | 96.37% | 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 | 2901 - 96.71% | 93,713$ | 3,842,249$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,684,167$ | 2,684,167$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,796,580$ | 0$ | 2,785,748$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 13,836$ | 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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