***Bonne chance pour le reste de saison***
Last update: 2024-04-18 05:45:30
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Martin Frk | 0 | RW | 99.00 | 56 | 67 | 63 | 63 | 67 | 66 | 65 | 65 | 55 | 61 | 65 | 62 | 54 | 69 | 61 | 0 | 50 | 66 | 30 | 750,000$/1yrs | |||
Charles Hudon | 0 | LW/RW | 99.00 | 56 | 57 | 66 | 63 | 62 | 66 | 64 | 61 | 55 | 60 | 64 | 62 | 55 | 66 | 60 | 0 | 50 | 65 | 29 | 750,000$/1yrs | |||
Lias Andersson | 0 | C/LW/RW | 100.00 | 58 | 56 | 70 | 64 | 64 | 65 | 63 | 61 | 67 | 61 | 65 | 58 | 68 | 59 | 57 | 0 | 50 | 65 | 25 | 750,000$/2yrs | |||
Ethen Frank | 0 | C | 99.00 | 55 | 61 | 67 | 61 | 60 | 62 | 61 | 60 | 55 | 57 | 62 | 63 | 54 | 60 | 56 | 0 | 50 | 63 | 26 | 775,000$/2yrs | |||
Tanner Kero | 0 | C/RW | 100.00 | 55 | 58 | 66 | 59 | 61 | 65 | 63 | 60 | 70 | 59 | 59 | 60 | 65 | 70 | 62 | 0 | 50 | 63 | 31 | 750,000$/1yrs | |||
Adam Brooks | 24 | C | 100.00 | 60 | 50 | 74 | 59 | 62 | 62 | 61 | 59 | 67 | 61 | 58 | 62 | 54 | 61 | 58 | 0 | 50 | 63 | 27 | 762,500$/2yrs | |||
Samuel Asselin | 0 | C/LW | 100.00 | 55 | 54 | 64 | 60 | 60 | 67 | 65 | 57 | 70 | 57 | 57 | 59 | 55 | 60 | 56 | 0 | 50 | 62 | 25 | 810,000$/1yrs | |||
Tyler Madden | 0 | C | 100.00 | 54 | 60 | 67 | 61 | 56 | 67 | 64 | 59 | 66 | 56 | 61 | 59 | 56 | 58 | 55 | 0 | 50 | 62 | 24 | 925,000$/2yrs | |||
Jack Finley (R) | 0 | C | 100.00 | 55 | 55 | 61 | 57 | 67 | 63 | 62 | 56 | 65 | 55 | 58 | 59 | 54 | 54 | 53 | 0 | 50 | 61 | 21 | 896,667$/2yrs | |||
Shane Bowers | 0 | C/RW | 100.00 | 55 | 55 | 67 | 59 | 62 | 64 | 62 | 56 | 55 | 56 | 57 | 60 | 54 | 58 | 55 | 0 | 50 | 61 | 24 | 750,000$/2yrs | |||
Linus Karlsson (R) | 0 | C/RW | 100.00 | 53 | 55 | 60 | 60 | 57 | 65 | 63 | 59 | 52 | 56 | 60 | 56 | 54 | 56 | 52 | 0 | 50 | 61 | 24 | 925,000$/1yrs | |||
Dylan McLaughlin | 0 | C | 100.00 | 54 | 55 | 68 | 56 | 61 | 58 | 57 | 56 | 70 | 56 | 55 | 61 | 55 | 65 | 59 | 0 | 50 | 60 | 28 | 750,000$/1yrs | |||
Noel Gunler | 0 | RW | 100.00 | 55 | 54 | 67 | 57 | 60 | 59 | 58 | 56 | 55 | 55 | 56 | 59 | 54 | 55 | 53 | 0 | 50 | 60 | 22 | 875,000$/3yrs | |||
Wyatt Kaiser (R) | 0 | D | 99.00 | 54 | 38 | 70 | 57 | 63 | 76 | 53 | 53 | 38 | 74 | 51 | 68 | 51 | 51 | 55 | 0 | 50 | 64 | 21 | 1,208,333$/3yrs | |||
Jordan Gross | 0 | D | 99.00 | 56 | 53 | 69 | 64 | 64 | 67 | 62 | 60 | 40 | 62 | 58 | 63 | 58 | 63 | 59 | 0 | 50 | 64 | 28 | 762,500$/2yrs | |||
Mitchell Vande Sompel | 0 | D | 100.00 | 55 | 55 | 65 | 57 | 62 | 63 | 62 | 57 | 40 | 57 | 56 | 61 | 55 | 62 | 57 | 0 | 50 | 61 | 27 | 775,000$/1yrs | |||
Simon Lundmark | 0 | D | 100.00 | 54 | 55 | 67 | 57 | 66 | 65 | 64 | 57 | 40 | 57 | 55 | 61 | 54 | 56 | 54 | 0 | 50 | 61 | 23 | 925,000$/2yrs | |||
Peter Diliberatore | 0 | D | 100.00 | 55 | 55 | 66 | 57 | 61 | 61 | 60 | 56 | 40 | 56 | 55 | 61 | 54 | 56 | 54 | 0 | 50 | 60 | 24 | 925,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Zach O'Brien | 0 | RW | 100.00 | 54 | 54 | 68 | 54 | 62 | 55 | 55 | 55 | 55 | 55 | 55 | 61 | 54 | 70 | 62 | 0 | 50 | 59 | 31 | 775,000$/1yrs | |||
Daniel D'Amato | 0 | C | 100.00 | 55 | 54 | 68 | 55 | 60 | 57 | 56 | 54 | 55 | 55 | 54 | 60 | 54 | 55 | 53 | 0 | 50 | 59 | 23 | 750,000$/1yrs | |||
Arshdeep Bains | 0 | C/LW | 100.00 | 52 | 52 | 63 | 54 | 58 | 64 | 62 | 57 | 52 | 56 | 56 | 59 | 51 | 52 | 50 | 0 | 50 | 59 | 23 | 816,667$/3yrs | |||
Isaac Johnson | 0 | RW | 100.00 | 55 | 54 | 68 | 55 | 63 | 56 | 56 | 54 | 55 | 54 | 54 | 61 | 56 | 58 | 55 | 0 | 50 | 59 | 25 | 750,000$/1yrs | |||
Justin Sourdif (R) | 0 | C/RW | 100.00 | 52 | 52 | 63 | 56 | 55 | 60 | 59 | 55 | 52 | 54 | 54 | 56 | 51 | 51 | 49 | 0 | 50 | 58 | 22 | 902,500$/2yrs | |||
Lukas Cormier (R) | 0 | D | 93.27 | 52 | 54 | 62 | 58 | 55 | 63 | 61 | 57 | 38 | 56 | 55 | 55 | 51 | 51 | 49 | 0 | 50 | 59 | 22 | 793,333$/3yrs | |||
Jackson Lacombe (R) | 0 | D | 100.00 | 54 | 38 | 78 | 52 | 76 | 71 | 53 | 48 | 38 | 56 | 50 | 57 | 51 | 51 | 55 | 0 | 50 | 59 | 23 | 1,387,500$/1yrs | |||
John Moore | 0 | D | 100.00 | 52 | 51 | 64 | 53 | 65 | 53 | 53 | 52 | 38 | 52 | 51 | 58 | 51 | 69 | 60 | 0 | 50 | 57 | 33 | 2,750,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jonas Johansson | 33 | 95.00 | 61 | 60 | 61 | 81 | 67 | 62 | 65 | 61 | 64 | 62 | 63 | 63 | 57 | 0 | 50 | 65 | 28 | 775,000$/3yrs |
Devin Cooley | 0 | 100.00 | 59 | 61 | 61 | 75 | 66 | 55 | 66 | 61 | 59 | 58 | 59 | 62 | 56 | 0 | 50 | 63 | 26 | 750,000$/2yrs |
| Scratches | ||||||||||||||||||||
Dylan Garand | 0 | 100.00 | 58 | 60 | 60 | 60 | 63 | 59 | 63 | 60 | 56 | 58 | 59 | 53 | 51 | 0 | 50 | 60 | 21 | 902,500$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jean Sébastien Beauchesne | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 39 | 5 | 0$ |
| 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 | Martin Frk | Eagles (COL) | RW | 78 | 36 | 38 | 74 | 11 | 26 | 0 | 135 | 281 | 77 | 197 | 12.81% | 18 | 20.59 | 10 | 13 | 23 | 1 | 0 | 1 | 198 | 10 | 1 | 43.69% | 1 | 0 | 0.95 | 0 | 1 | 1.00 | |||
| 2 | Lias Andersson | Eagles (COL) | C/LW/RW | 82 | 30 | 40 | 70 | 9 | 30 | 0 | 133 | 246 | 56 | 184 | 12.20% | 24 | 21.35 | 7 | 15 | 22 | 0 | 0 | 0 | 220 | 3 | 1 | 55.32% | 0 | 0 | 0.85 | 0 | 1 | 0.88 | |||
| 3 | Charles Hudon | Eagles (COL) | LW/RW | 62 | 19 | 38 | 57 | 10 | 18 | 0 | 85 | 144 | 51 | 132 | 13.19% | 12 | 16.94 | 4 | 9 | 13 | 0 | 0 | 0 | 111 | 2 | 0 | 54.58% | 0 | 0 | 0.92 | 0 | 0 | 0.89 | |||
| 4 | Wyatt Kaiser | Eagles (COL) | D | 82 | 11 | 45 | 56 | 10 | 36 | 0 | 119 | 104 | 36 | 75 | 10.58% | 130 | 21.23 | 9 | 8 | 17 | 0 | 1 | 1 | 204 | 2 | 1 | 0.00% | 0 | 0 | 0.68 | 0 | 0 | 0.63 | |||
| 5 | Jordan Gross | Eagles (COL) | D | 80 | 13 | 42 | 55 | -2 | 65 | 5 | 149 | 114 | 41 | 79 | 11.40% | 92 | 20.83 | 6 | 11 | 17 | 0 | 0 | 0 | 167 | 2 | 1 | 0.00% | 0 | 0 | 0.69 | 0 | 0 | 0.53 | |||
| 6 | Ethen Frank | Eagles (COL) | C | 82 | 27 | 24 | 51 | -4 | 64 | 20 | 126 | 234 | 75 | 173 | 11.54% | 29 | 19.49 | 9 | 9 | 18 | 0 | 0 | 0 | 138 | 2 | 2 | 46.46% | 0 | 1 | 0.62 | 1 | 1 | 0.55 | |||
| 7 | Adam Brooks | Eagles (COL) | C | 82 | 22 | 26 | 48 | -10 | 36 | 0 | 110 | 184 | 58 | 133 | 11.96% | 15 | 16.71 | 4 | 3 | 7 | 0 | 0 | 0 | 9 | 3 | 0 | 51.24% | 0 | 0 | 0.59 | 0 | 2 | 0.51 | |||
| 8 | Simon Lundmark | Eagles (COL) | D | 81 | 8 | 36 | 44 | -4 | 66 | 0 | 136 | 92 | 33 | 57 | 8.70% | 99 | 20.63 | 6 | 9 | 15 | 0 | 0 | 0 | 156 | 1 | 2 | 0.00% | 0 | 0 | 0.54 | 0 | 0 | 0.39 | |||
| 9 | Tyler Madden | Eagles (COL) | C | 81 | 27 | 14 | 41 | 3 | 39 | 5 | 104 | 195 | 55 | 138 | 13.85% | 12 | 15.61 | 3 | 1 | 4 | 0 | 0 | 0 | 28 | 6 | 1 | 53.90% | 0 | 0 | 0.51 | 0 | 1 | 0.53 | |||
| 10 | Tanner Kero | Eagles (COL) | C/RW | 75 | 16 | 22 | 38 | -6 | 15 | 5 | 93 | 174 | 56 | 111 | 9.20% | 13 | 15.54 | 4 | 8 | 12 | 0 | 0 | 0 | 51 | 2 | 1 | 46.03% | 0 | 0 | 0.51 | 0 | 0 | 0.53 | |||
| 11 | Linus Karlsson | Eagles (COL) | C/RW | 82 | 13 | 19 | 32 | 4 | 22 | 0 | 84 | 132 | 39 | 90 | 9.85% | 10 | 11.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 47.76% | 0 | 0 | 0.39 | 0 | 0 | 0.41 | |||
| 12 | Mitchell Vande Sompel | Eagles (COL) | D | 77 | 7 | 24 | 31 | -12 | 52 | 0 | 135 | 99 | 38 | 73 | 7.07% | 95 | 20.25 | 6 | 13 | 19 | 0 | 0 | 0 | 114 | 1 | 0 | 0.00% | 0 | 0 | 0.40 | 0 | 0 | 0.31 | |||
| 13 | Samuel Asselin | Eagles (COL) | C/LW | 78 | 7 | 22 | 29 | -5 | 26 | 0 | 92 | 142 | 46 | 91 | 4.93% | 14 | 15.71 | 0 | 7 | 7 | 0 | 0 | 0 | 76 | 0 | 0 | 50.70% | 0 | 0 | 0.37 | 0 | 0 | 0.36 | |||
| 14 | Shane Bowers | Eagles (COL) | C/RW | 81 | 4 | 23 | 27 | 10 | 12 | 0 | 58 | 82 | 26 | 56 | 4.88% | 21 | 9.49 | 0 | 7 | 7 | 0 | 0 | 0 | 19 | 0 | 0 | 42.49% | 0 | 0 | 0.33 | 0 | 1 | 0.34 | |||
| 15 | Peter Diliberatore | Eagles (COL) | D | 79 | 8 | 19 | 27 | 7 | 67 | 5 | 119 | 69 | 23 | 47 | 11.59% | 75 | 16.36 | 2 | 1 | 3 | 0 | 0 | 0 | 165 | 1 | 0 | 0.00% | 0 | 0 | 0.34 | 0 | 0 | 0.26 | |||
| 16 | Jack Finley | Eagles (COL) | C | 79 | 3 | 11 | 14 | 3 | 13 | 5 | 57 | 53 | 9 | 41 | 5.66% | 8 | 6.89 | 0 | 1 | 1 | 0 | 0 | 0 | 22 | 1 | 0 | 52.63% | 0 | 0 | 0.18 | 0 | 0 | 0.18 | |||
| 17 | Lukas Cormier | Eagles (COL) | D | 11 | 1 | 3 | 4 | 5 | 2 | 0 | 11 | 10 | 1 | 6 | 10.00% | 7 | 12.82 | 0 | 1 | 1 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0.36 | 0 | 0 | 0.50 | |||
| 18 | Dylan McLaughlin | Eagles (COL) | C | 36 | 0 | 1 | 1 | 1 | 0 | 0 | 3 | 4 | 2 | 8 | 0.00% | 0 | 2.31 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 54.55% | 0 | 0 | 0.03 | 0 | 0 | 0.04 | |||
| 19 | Noel Gunler | Eagles (COL) | RW | 38 | 1 | 0 | 1 | 0 | 2 | 0 | 2 | 3 | 0 | 2 | 33.33% | 0 | 0.71 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.03 | 0 | 0 | 0.02 | |||
| 20 | Zach O'Brien | Eagles (COL) | RW | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 21 | Daniel D'Amato | Eagles (COL) | C | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 1.63 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.05 | |||
| 22 | Jackson Lacombe | Eagles (COL) | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 2 | 2 | 0 | 0.00% | 6 | 18.38 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.20 | |||
| Team Total or Average | 1357 | 253 | 447 | 700 | 30 | 591 | 45 | 1766 | 2365 | 724 | 1693 | 10.70% | 680 | 15.89 | 71 | 116 | 187 | 2340 | 1 | 1 | 2 | 1721 | 36 | 11 | 49.23% | 6319 | 0 | 0 | 1 | 1 | 0.65 | 1 | 7 |
| 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 | Devin Cooley | Eagles (COL) | 58 | 27 | 22 | 5 | 0.901 | 3.31 | 3248 | 2 | 1 | 179 | 1816 | 0 | 2 | 1 | 0.667 | 6 | 56 | 24 | 6 | 3 | 2 |
| 2 | Jonas Johansson | Eagles (COL) | 14 | 12 | 2 | 0 | 0.903 | 3.21 | 842 | 2 | 1 | 45 | 462 | 0 | 0 | 0 | 0.000 | 0 | 14 | 0 | 1 | 0 | 1 |
| 3 | Dylan Garand | Eagles (COL) | 17 | 8 | 5 | 1 | 0.884 | 3.53 | 868 | 0 | 0 | 51 | 440 | 0 | 1 | 0 | 0.000 | 2 | 12 | 58 | 0 | 0 | 1 |
| Team Total or Average | 89 | 47 | 29 | 6 | 0.899 | 3.33 | 4959 | 4 | 2 | 275 | 2718 | 0 | 3 | 1 | 0.500 | 8 | 82 | 82 | 7 | 3 | 4 |
| Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Brooks ![]() | C | 27 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Arshdeep Bains | C/LW | 23 | 816,667$ | 816,667$ | 816,667$ | 816,667$ | UFA | ||||
Charles Hudon ![]() | LW/RW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Daniel D'Amato | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Devin Cooley ![]() | G | 26 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Dylan Garand | G | 21 | 902,500$ | 902,500$ | 902,500$ | 902,500$ | RFA | ||||
Dylan McLaughlin ![]() | C | 28 | 750,000$ | 750,000$ | UFA | ||||||
Ethen Frank ![]() | C | 26 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Isaac Johnson ![]() | RW | 25 | 750,000$ | 750,000$ | UFA | ||||||
Jack Finley | C | 21 | 896,667$ | 896,667$ | 896,667$ | RFA | |||||
Jackson Lacombe | D | 23 | 1,387,500$ | 1,387,500$ | RFA | ||||||
John Moore ![]() | D | 33 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Jonas Johansson ![]() | G | 28 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Jordan Gross ![]() | D | 28 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Justin Sourdif | C/RW | 22 | 902,500$ | 902,500$ | 902,500$ | RFA | |||||
Lias Andersson ![]() | C/LW/RW | 25 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Linus Karlsson | C/RW | 24 | 925,000$ | 925,000$ | RFA | ||||||
Lukas Cormier | D | 22 | 793,333$ | 793,333$ | 793,333$ | 793,333$ | RFA | ||||
Martin Frk ![]() | RW | 30 | 750,000$ | 750,000$ | UFA | ||||||
Mitchell Vande Sompel ![]() | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Noel Gunler | RW | 22 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | UFA | ||||
Peter Diliberatore | D | 24 | 925,000$ | 925,000$ | RFA | ||||||
Samuel Asselin ![]() | C/LW | 25 | 810,000$ | 810,000$ | UFA | ||||||
Shane Bowers | C/RW | 24 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Simon Lundmark | D | 23 | 925,000$ | 925,000$ | 925,000$ | UFA | |||||
Tanner Kero ![]() | C/RW | 31 | 750,000$ | 750,000$ | UFA | ||||||
Tyler Madden | C | 24 | 925,000$ | 925,000$ | 775,000$ | UFA | |||||
Wyatt Kaiser | D | 21 | 1,208,333$ | 1,208,333$ | 1,208,333$ | 1,208,333$ | RFA | ||||
Zach O'Brien ![]() | RW | 31 | 775,000$ | 775,000$ | 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 | Checkers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 107 | 108 | 70 | 7 | 60 | 918 | 893 | 868 | 39 | 76 | 22 | 12 | 47 | 12 | 3 | 25.00% | 6 | 0 | 100.00% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 25.0% | 8.3% | 92.1% | 100.4 | DULL |
| 2 | Marlies | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 107 | 108 | 70 | 7 | 68 | 918 | 893 | 868 | 39 | 66 | 15 | 15 | 46 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 28.6% | 2.9% | 90.9% | 93.9 | Unlucky |
| 3 | Americans | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 107 | 108 | 70 | 7 | 79 | 918 | 893 | 868 | 39 | 62 | 16 | 12 | 43 | 8 | 3 | 37.50% | 6 | 2 | 66.67% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 45.5% | 10.1% | 87.1% | 97.2 | FUN |
| 4 | Binghamton Senateurs | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 107 | 108 | 70 | 7 | 63 | 918 | 893 | 868 | 39 | 57 | 21 | 12 | 66 | 9 | 1 | 11.11% | 6 | 1 | 83.33% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 60.0% | 11.1% | 91.2% | 102.3 | LUCKY |
| 5 | Bears | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 107 | 108 | 70 | 7 | 48 | 918 | 893 | 868 | 39 | 51 | 18 | 12 | 33 | 9 | 2 | 22.22% | 6 | 1 | 83.33% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 37.5% | 10.4% | 88.2% | 98.7 | FUN |
| 6 | Rockets | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 6 | 0 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 107 | 108 | 70 | 7 | 66 | 918 | 893 | 868 | 39 | 63 | 20 | 27 | 47 | 7 | 1 | 14.29% | 11 | 1 | 90.91% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 50.0% | 9.1% | 90.5% | 99.6 | FUN |
| 7 | Providence Bruins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 107 | 108 | 70 | 7 | 57 | 918 | 893 | 868 | 39 | 72 | 18 | 18 | 50 | 5 | 1 | 20.00% | 9 | 2 | 77.78% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 33.3% | 7.0% | 88.9% | 95.9 | Unlucky |
| 8 | Wolves | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 107 | 108 | 70 | 7 | 61 | 918 | 893 | 868 | 39 | 59 | 17 | 18 | 49 | 8 | 3 | 37.50% | 9 | 2 | 77.78% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 25.0% | 6.6% | 91.5% | 98.1 | DULL |
| 9 | Phantoms | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 7 | 13 | 0 | 0 | 107 | 108 | 70 | 7 | 60 | 918 | 893 | 868 | 39 | 53 | 22 | 8 | 58 | 15 | 1 | 6.67% | 3 | 1 | 66.67% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 62.5% | 10.0% | 92.5% | 102.5 | LUCKY |
| 10 | Wolf Pack | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 107 | 108 | 70 | 7 | 66 | 918 | 893 | 868 | 39 | 69 | 34 | 16 | 40 | 7 | 3 | 42.86% | 8 | 1 | 87.50% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 50.0% | 12.1% | 91.3% | 103.4 | LUCKY |
| 11 | islanders | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 107 | 108 | 70 | 7 | 54 | 918 | 893 | 868 | 39 | 49 | 18 | 15 | 47 | 6 | 2 | 33.33% | 5 | 2 | 60.00% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 33.3% | 9.3% | 83.7% | 92.9 | FUN |
| 12 | IceHogs | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 16 | 12 | 4 | 5 | 0.833 | 16 | 29 | 45 | 0 | 0 | 107 | 108 | 70 | 7 | 135 | 918 | 893 | 868 | 39 | 112 | 33 | 22 | 93 | 16 | 4 | 25.00% | 10 | 3 | 70.00% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 57.1% | 11.9% | 89.3% | 101.1 | FUN |
| 13 | Griffins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 107 | 108 | 70 | 7 | 60 | 918 | 893 | 868 | 39 | 61 | 17 | 24 | 47 | 7 | 4 | 57.14% | 12 | 3 | 75.00% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 33.3% | 10.0% | 88.5% | 98.5 | FUN |
| 14 | Monsters | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 107 | 108 | 70 | 7 | 81 | 918 | 893 | 868 | 39 | 68 | 17 | 21 | 49 | 10 | 0 | 0.00% | 8 | 3 | 62.50% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 62.5% | 6.2% | 91.2% | 97.3 | DULL |
| 15 | Barracuda | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 8 | 2 | 5 | 0.833 | 10 | 20 | 30 | 0 | 0 | 107 | 108 | 70 | 7 | 78 | 918 | 893 | 868 | 39 | 107 | 32 | 28 | 75 | 9 | 2 | 22.22% | 13 | 2 | 84.62% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 57.1% | 12.8% | 92.5% | 105.3 | LUCKY |
| 16 | Condors | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 13 | 13 | 0 | 3 | 0.500 | 13 | 22 | 35 | 0 | 0 | 107 | 108 | 70 | 7 | 111 | 918 | 893 | 868 | 39 | 103 | 30 | 24 | 54 | 11 | 4 | 36.36% | 10 | 1 | 90.00% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 42.9% | 11.7% | 87.4% | 99.1 | FUN |
| 17 | Iowa Wild | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 8 | 11 | -3 | 2 | 0.333 | 8 | 14 | 22 | 0 | 0 | 107 | 108 | 70 | 7 | 96 | 918 | 893 | 868 | 39 | 114 | 30 | 36 | 79 | 10 | 3 | 30.00% | 18 | 5 | 72.22% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 45.5% | 8.3% | 90.4% | 98.7 | Unlucky |
| 18 | Reign | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 19 | 30 | 0 | 0 | 107 | 108 | 70 | 7 | 96 | 918 | 893 | 868 | 39 | 101 | 35 | 22 | 86 | 9 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 64.7% | 11.5% | 91.1% | 102.5 | Unlucky |
| 19 | Thunderbirds | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 15 | 22 | -7 | 0 | 0.000 | 15 | 28 | 43 | 1 | 0 | 107 | 108 | 70 | 7 | 136 | 918 | 893 | 868 | 39 | 150 | 29 | 53 | 110 | 12 | 4 | 33.33% | 18 | 3 | 83.33% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 36.7% | 11.0% | 85.3% | 96.4 | FUN |
| 20 | Wranglers | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 11 | 1 | 4 | 0.667 | 12 | 19 | 31 | 0 | 0 | 107 | 108 | 70 | 7 | 83 | 918 | 893 | 868 | 39 | 104 | 23 | 21 | 60 | 7 | 1 | 14.29% | 8 | 1 | 87.50% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 52.4% | 14.5% | 89.4% | 103.9 | FUN |
| 21 | Gulls | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 12 | 0 | 4 | 0.667 | 12 | 21 | 33 | 0 | 0 | 107 | 108 | 70 | 7 | 86 | 918 | 893 | 868 | 39 | 107 | 34 | 32 | 72 | 10 | 4 | 40.00% | 15 | 3 | 80.00% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 47.1% | 14.0% | 88.8% | 102.7 | FUN |
| 22 | Texas Stars | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 10 | 3 | 6 | 0.750 | 13 | 22 | 35 | 0 | 0 | 107 | 108 | 70 | 7 | 125 | 918 | 893 | 868 | 39 | 137 | 31 | 30 | 88 | 11 | 4 | 36.36% | 15 | 2 | 86.67% | 1 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 52.9% | 10.4% | 92.7% | 103.1 | LUCKY |
| 23 | Canucks | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 5 | 7 | 6 | 1.000 | 12 | 21 | 33 | 0 | 1 | 107 | 108 | 70 | 7 | 93 | 918 | 893 | 868 | 39 | 78 | 40 | 16 | 57 | 15 | 4 | 26.67% | 8 | 1 | 87.50% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 66.7% | 12.9% | 93.6% | 106.5 | LUCKY |
| 24 | Comets | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 107 | 108 | 70 | 7 | 64 | 918 | 893 | 868 | 39 | 55 | 14 | 10 | 45 | 8 | 2 | 25.00% | 3 | 0 | 100.00% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 46.2% | 12.5% | 87.3% | 99.8 | FUN |
| 25 | W-B/Scranton Penguins | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 17 | 26 | 0 | 1 | 107 | 108 | 70 | 7 | 83 | 918 | 893 | 868 | 39 | 67 | 22 | 12 | 46 | 9 | 4 | 44.44% | 6 | 2 | 66.67% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 100.0% | 10.8% | 97.0% | 107.9 | LUCKY |
| 26 | Roadrunners | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 22 | 15 | 7 | 6 | 0.750 | 22 | 39 | 61 | 0 | 0 | 107 | 108 | 70 | 7 | 160 | 918 | 893 | 868 | 39 | 119 | 41 | 38 | 129 | 20 | 4 | 20.00% | 18 | 8 | 55.56% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 72.0% | 13.8% | 87.4% | 101.1 | FUN |
| 27 | Crunch | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 107 | 108 | 70 | 7 | 72 | 918 | 893 | 868 | 39 | 47 | 19 | 12 | 53 | 9 | 2 | 22.22% | 6 | 1 | 83.33% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 60.0% | 11.1% | 89.4% | 100.5 | FUN |
| 28 | Admirals | 4 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 16 | 15 | 1 | 6 | 0.750 | 16 | 30 | 46 | 0 | 0 | 107 | 108 | 70 | 7 | 139 | 918 | 893 | 868 | 39 | 153 | 33 | 30 | 117 | 18 | 3 | 16.67% | 15 | 4 | 73.33% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 54.2% | 11.5% | 90.2% | 101.7 | FUN |
| 29 | Moose | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 14 | 7 | 8 | 1.000 | 21 | 40 | 61 | 0 | 0 | 107 | 108 | 70 | 7 | 137 | 918 | 893 | 868 | 39 | 142 | 34 | 34 | 90 | 19 | 5 | 26.32% | 17 | 4 | 76.47% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 61.5% | 15.3% | 90.1% | 105.5 | FUN |
| 30 | Silver Knights | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 13 | -8 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 107 | 108 | 70 | 7 | 81 | 918 | 893 | 868 | 39 | 106 | 30 | 24 | 90 | 12 | 1 | 8.33% | 11 | 4 | 63.64% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 30.8% | 6.2% | 87.7% | 93.9 | Unlucky |
| 31 | Firebirds | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 13 | -3 | 2 | 0.333 | 10 | 17 | 27 | 0 | 0 | 107 | 108 | 70 | 7 | 112 | 918 | 893 | 868 | 39 | 111 | 29 | 41 | 62 | 13 | 2 | 15.38% | 9 | 3 | 66.67% | 0 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 44.4% | 8.9% | 88.3% | 97.2 | Unlucky |
| _Vs Division | 26 | 12 | 8 | 0 | 3 | 2 | 0 | 1 | 111 | 99 | 12 | 33 | 0.635 | 111 | 202 | 313 | 1 | 0 | 107 | 108 | 70 | 7 | 928 | 918 | 893 | 868 | 39 | 927 | 231 | 243 | 706 | 106 | 27 | 25.47% | 111 | 29 | 73.87% | 1 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 54.5% | 12.0% | 89.3% | 101.3 | FUN | |
| _Vs Conference | 50 | 24 | 17 | 0 | 3 | 4 | 1 | 1 | 196 | 183 | 13 | 61 | 0.610 | 196 | 350 | 546 | 1 | 1 | 107 | 108 | 70 | 7 | 1668 | 918 | 893 | 868 | 39 | 1744 | 484 | 451 | 1262 | 192 | 45 | 23.44% | 195 | 47 | 75.90% | 1 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 52.6% | 11.8% | 89.5% | 101.3 | FUN | |
| _Since Last GM Reset | 82 | 40 | 29 | 0 | 6 | 4 | 1 | 2 | 292 | 278 | 14 | 100 | 0.610 | 292 | 519 | 811 | 1 | 2 | 107 | 108 | 70 | 7 | 2710 | 918 | 893 | 868 | 39 | 2719 | 794 | 695 | 2028 | 327 | 77 | 23.55% | 304 | 70 | 76.97% | 1 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 50.8% | 10.8% | 89.8% | 100.6 | FUN | |
| Total | 82 | 40 | 29 | 0 | 6 | 4 | 1 | 2 | 292 | 278 | 14 | 100 | 0.610 | 292 | 519 | 811 | 1 | 2 | 107 | 108 | 70 | 7 | 2710 | 918 | 893 | 868 | 39 | 2719 | 794 | 695 | 2028 | 327 | 77 | 23.55% | 304 | 70 | 76.97% | 1 | 1407 | 2921 | 48.17% | 1489 | 2815 | 52.90% | 712 | 1434 | 49.65% | 1925 | 1283 | 1926 | 645 | 1111 | 553 | 50.8% | 10.8% | 89.8% | 100.6 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2921 |
| Neutral Zone Start | 1434 |
| Defensive Zone Start | 2815 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3608 |
| Faceoffs Lost | 3562 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.2 | 9.57 |
| 2nd Period | 22.1 | 20.31 |
| 3rd Period | 32.7 | 30.68 |
| Overtime | 33.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.3 | 0.64 |
| 2nd Period | 2.6 | 1.65 |
| 3rd Period | 3.5 | 2.67 |
| Overtime | 3.6 | 2.83 |
| Even Strenght Goal | 213 |
|---|---|
| PP Goal | 77 |
| PK Goal | 1 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 25 | 22 |
| Lost | 14 | 15 |
| Overtime Lost | 2 | 4 |
| PP Attempt | 327 |
|---|---|
| PP Goal | 77 |
| PK Attempt | 304 |
| PK Goal Against | 70 |
| Home | |
|---|---|
| Shots For | 33.0 |
| Shots Against | 33.2 |
| Goals For | 3.6 |
| Goals Against | 3.4 |
| Hits | 24.7 |
| Shots Blocked | 9.7 |
| Pim | 8.5 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,641,750$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Colorado | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 59469 | 39125 | |||
| Attendance PCT | 72.52% | 95.43% | 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 | 2405 - 80.16% | 96,970$ | 3,975,753$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,641,750$ | 2,641,750$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,704,272$ | 0$ | 2,704,272$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 13,978$ | 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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