| Coachella Valley Firebirds 13-6-0, 26pts · 5th in Western |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Samuel Fagemo | 0 | LW | 100.00 | 65 | 39 | 83 | 62 | 77 | 70 | 78 | 65 | 41 | 57 | 69 | 65 | 63 | 67 | 65 | 0 | 55 | 73 | 25 | 800,000$/2yrs | |||
Mike Hardman | 0 | LW/RW | 100.00 | 62 | 39 | 88 | 57 | 81 | 67 | 72 | 64 | 47 | 56 | 60 | 67 | 58 | 68 | 67 | 0 | 52 | 71 | 26 | 800,000$/1yrs | |||
Isaac Howard (R) | 0 | LW/RW | 100.00 | 58 | 38 | 90 | 63 | 73 | 69 | 89 | 61 | 44 | 60 | 64 | 64 | 62 | 59 | 58 | 0 | 59 | 71 | 21 | 950,000$/3yrs | |||
Adam Beckman (R) | 0 | LW | 100.00 | 64 | 39 | 83 | 59 | 77 | 67 | 71 | 62 | 43 | 58 | 60 | 65 | 59 | 65 | 63 | 0 | 56 | 70 | 24 | 800,000$/2yrs | |||
Mikael Pyyhtia | 0 | LW | 100.00 | 62 | 32 | 96 | 58 | 66 | 76 | 75 | 54 | 59 | 57 | 58 | 74 | 56 | 64 | 63 | 0 | 56 | 70 | 23 | 1,250,000$/2yrs | |||
Martin Chromiak (R) | 0 | RW | 100.00 | 62 | 38 | 88 | 57 | 74 | 65 | 71 | 61 | 35 | 56 | 57 | 64 | 57 | 63 | 62 | 0 | 53 | 69 | 23 | 900,000$/3yrs | |||
Xavier Simoneau (R) | 81 | C/LW/RW | 100.00 | 88 | 41 | 50 | 57 | 65 | 65 | 85 | 60 | 66 | 62 | 51 | 63 | 57 | 61 | 56 | 0 | 56 | 68 | 24 | 800,000$/2yrs | |||
Jon-Randall Avon | 0 | C | 100.00 | 60 | 38 | 91 | 55 | 69 | 63 | 68 | 60 | 36 | 53 | 54 | 64 | 54 | 61 | 60 | 0 | 57 | 67 | 22 | 800,000$/1yrs | |||
Ben Meyers | 0 | C | 100.00 | 73 | 32 | 90 | 55 | 74 | 72 | 70 | 54 | 75 | 56 | 55 | 55 | 54 | 68 | 68 | 0 | 59 | 67 | 27 | 800,000$/1yrs | |||
Otto Stenberg (R) | 0 | C/LW/RW | 100.00 | 57 | 37 | 96 | 57 | 70 | 63 | 66 | 58 | 35 | 57 | 54 | 61 | 56 | 57 | 57 | 0 | 58 | 67 | 20 | 918,333$/3yrs | |||
Ondrej Becher (R) | 0 | C | 100.00 | 58 | 38 | 95 | 56 | 75 | 63 | 67 | 59 | 63 | 54 | 55 | 62 | 55 | 59 | 59 | 0 | 42 | 67 | 21 | 850,000$/3yrs | |||
Owen Allard (R) | 0 | C/LW | 100.00 | 54 | 38 | 95 | 58 | 73 | 64 | 76 | 55 | 62 | 56 | 58 | 62 | 57 | 59 | 59 | 0 | 53 | 67 | 21 | 869,167$/3yrs | |||
Maksymilian Szuber (R) | 0 | D | 100.00 | 69 | 40 | 76 | 52 | 81 | 65 | 67 | 51 | 30 | 58 | 53 | 65 | 55 | 63 | 60 | 0 | 52 | 68 | 23 | 859,167$/1yrs | |||
Stian Solberg (R) | 0 | D | 100.00 | 86 | 41 | 62 | 56 | 74 | 64 | 84 | 53 | 30 | 57 | 56 | 61 | 56 | 56 | 52 | 0 | 57 | 68 | 19 | 975,000$/2yrs | |||
Tobie Bisson | 0 | D | 100.00 | 67 | 40 | 80 | 50 | 83 | 65 | 67 | 49 | 30 | 55 | 53 | 70 | 54 | 72 | 69 | 0 | 53 | 68 | 28 | 800,000$/3yrs | |||
Ryan Chesley (R) | 0 | D | 100.00 | 84 | 41 | 59 | 54 | 75 | 65 | 91 | 53 | 30 | 55 | 55 | 65 | 55 | 59 | 55 | 0 | 50 | 68 | 21 | 923,333$/3yrs | |||
Wyatte Wylie | 0 | D | 100.00 | 61 | 38 | 89 | 49 | 74 | 64 | 66 | 48 | 30 | 55 | 52 | 68 | 53 | 68 | 67 | 0 | 54 | 67 | 26 | 900,000$/3yrs | |||
Stanislav Svozil (R) | 0 | D | 100.00 | 66 | 39 | 81 | 52 | 75 | 64 | 67 | 50 | 30 | 57 | 52 | 64 | 55 | 61 | 59 | 0 | 59 | 67 | 22 | 825,000$/1yrs | |||
Xavier Bernard | 0 | D | 100.00 | 72 | 41 | 71 | 47 | 85 | 62 | 65 | 47 | 30 | 53 | 50 | 67 | 51 | 66 | 63 | 0 | 24 | 66 | 25 | 850,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Tyler Madden | 0 | C | 100.00 | 60 | 37 | 91 | 55 | 66 | 66 | 69 | 64 | 41 | 57 | 56 | 67 | 56 | 68 | 67 | 0 | 27 | 69 | 26 | 950,000$/2yrs | |||
Oskar Steen | 0 | C/RW | 100.00 | 82 | 32 | 95 | 55 | 73 | 71 | 70 | 53 | 55 | 50 | 54 | 60 | 53 | 70 | 69 | 0 | 27 | 67 | 27 | 800,000$/1yrs | |||
Aidan Dudas | 0 | LW | 100.00 | 67 | 38 | 80 | 53 | 63 | 62 | 78 | 61 | 46 | 53 | 53 | 65 | 53 | 63 | 60 | 0 | 24 | 66 | 25 | 850,000$/2yrs | |||
Coulson Pitre (R) | 0 | C/RW | 100.00 | 61 | 38 | 89 | 55 | 74 | 62 | 66 | 60 | 44 | 55 | 52 | 63 | 53 | 59 | 58 | 0 | 24 | 66 | 20 | 860,000$/2yrs | |||
Ty Pelton-Byce | 0 | C | 100.00 | 70 | 39 | 89 | 52 | 79 | 70 | 60 | 51 | 58 | 45 | 46 | 55 | 53 | 65 | 67 | 0 | 19 | 62 | 28 | 800,000$/2yrs | |||
Patrick Bajkov | 46 | LW/RW | 100.00 | 55 | 30 | 99 | 58 | 72 | 56 | 60 | 56 | 51 | 42 | 42 | 55 | 50 | 71 | 63 | 0 | 24 | 61 | 28 | 800,000$/2yrs | |||
Tarmo Reunanen | 0 | D | 100.00 | 64 | 36 | 86 | 65 | 71 | 78 | 60 | 64 | 30 | 58 | 49 | 63 | 51 | 64 | 66 | 0 | 22 | 72 | 27 | 925,000$/2yrs | |||
Topi Niemela (R) | 0 | D | 100.00 | 65 | 39 | 83 | 53 | 71 | 65 | 67 | 51 | 30 | 59 | 52 | 65 | 56 | 63 | 61 | 0 | 23 | 68 | 23 | 975,000$/2yrs | |||
Ethan Samson (R) | 0 | D | 100.00 | 70 | 40 | 75 | 48 | 83 | 63 | 68 | 48 | 30 | 54 | 53 | 64 | 54 | 61 | 58 | 0 | 54 | 66 | 22 | 846,667$/1yrs | |||
Jared McIsaac | 0 | D | 100.00 | 63 | 39 | 85 | 48 | 76 | 61 | 79 | 46 | 30 | 54 | 47 | 65 | 50 | 62 | 61 | 0 | 23 | 65 | 25 | 1,000,000$/3yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dylan Garand | 0 | 100.00 | 74 | 76 | 71 | 71 | 80 | 75 | 75 | 74 | 75 | 75 | 75 | 64 | 64 | 0 | 66 | 78 | 23 | 1,000,000$/2yrs |
Ivan Fedotov | 0 | 99.00 | 60 | 70 | 70 | 80 | 69 | 68 | 71 | 81 | 73 | 83 | 71 | 72 | 76 | 0 | 59 | 77 | 28 | 3,500,000$/3yrs |
| Scratches | ||||||||||||||||||||
Taylor Gauthier | 0 | 100.00 | 74 | 72 | 71 | 82 | 67 | 75 | 74 | 74 | 75 | 75 | 74 | 62 | 62 | 0 | 31 | 77 | 24 | 800,000$/2yrs |
Ruslan Khazheyev | 0 | 100.00 | 69 | 60 | 67 | 82 | 59 | 74 | 68 | 69 | 74 | 74 | 70 | 60 | 59 | 0 | 30 | 73 | 21 | 845,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jeff Blashill | 55 | 64 | 70 | 88 | 73 | 66 | 69 | USA | 50 | 5 | 500,000$ |
| General Manager |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Samuel Fagemo | LW | 19 | 15 | 6 | 21 | 13 | 4 | 0 | 44 | 83 | 22 | 49 | 18.07% | 5 | 20.33 | 3 | 1 | 4 | 56 | 0 | 0 | 0 | 20 | 3 | 2 | 50.00% | 32 | 0 | 0 | 0 | 0 | 1.09 | 0 | 0 | ||
| 2 | Isaac Howard | LW/RW | 19 | 6 | 15 | 21 | 13 | 8 | 0 | 26 | 64 | 21 | 42 | 9.38% | 6 | 19.15 | 1 | 2 | 3 | 56 | 0 | 0 | 0 | 0 | 1 | 0 | 39.29% | 28 | 0 | 0 | 0 | 0 | 1.15 | 0 | 0 | ||
| 3 | Otto Stenberg | C/LW/RW | 19 | 4 | 11 | 15 | 13 | 6 | 0 | 20 | 36 | 9 | 25 | 11.11% | 3 | 19.57 | 0 | 3 | 3 | 56 | 0 | 0 | 0 | 0 | 0 | 0 | 39.47% | 494 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | ||
| 4 | Mike Hardman | LW/RW | 19 | 8 | 4 | 12 | 2 | 4 | 0 | 25 | 64 | 11 | 42 | 12.50% | 1 | 14.46 | 1 | 1 | 2 | 52 | 0 | 0 | 0 | 33 | 1 | 0 | 60.00% | 15 | 0 | 0 | 0 | 0 | 0.87 | 0 | 0 | ||
| 5 | Adam Beckman | LW | 19 | 5 | 7 | 12 | 1 | 10 | 0 | 35 | 61 | 14 | 52 | 8.20% | 3 | 19.78 | 0 | 2 | 2 | 49 | 0 | 0 | 0 | 55 | 0 | 1 | 37.04% | 27 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
| 6 | Ryan Chesley | D | 19 | 2 | 9 | 11 | 11 | 31 | 5 | 30 | 20 | 8 | 14 | 10.00% | 21 | 21.00 | 0 | 0 | 0 | 50 | 0 | 0 | 0 | 44 | 1 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.55 | 0 | 0 | ||
| 7 | Xavier Simoneau | C/LW/RW | 19 | 7 | 3 | 10 | 4 | 8 | 0 | 53 | 24 | 5 | 18 | 29.17% | 0 | 11.63 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 59 | 2 | 0 | 45.45% | 121 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 | ||
| 8 | Owen Allard | C/LW | 19 | 3 | 7 | 10 | 3 | 2 | 0 | 3 | 56 | 15 | 28 | 5.36% | 3 | 13.89 | 0 | 1 | 1 | 46 | 0 | 0 | 0 | 28 | 1 | 0 | 48.78% | 123 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | ||
| 9 | Mikael Pyyhtia | LW | 17 | 3 | 6 | 9 | 1 | 2 | 0 | 9 | 34 | 8 | 17 | 8.82% | 8 | 14.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 56.95% | 302 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | ||
| 10 | Tobie Bisson | D | 19 | 1 | 8 | 9 | 7 | 11 | 5 | 26 | 12 | 2 | 8 | 8.33% | 27 | 19.05 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 47 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
| 11 | Jon-Randall Avon | C | 19 | 2 | 6 | 8 | 3 | 0 | 0 | 0 | 21 | 9 | 25 | 9.52% | 4 | 8.82 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 1 | 0 | 42.21% | 199 | 0 | 0 | 0 | 0 | 0.95 | 0 | 0 | ||
| 12 | Ondrej Becher | C | 19 | 1 | 7 | 8 | 2 | 10 | 0 | 13 | 30 | 10 | 18 | 3.33% | 0 | 9.66 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 1 | 0 | 55.10% | 245 | 0 | 0 | 0 | 0 | 0.87 | 0 | 0 | ||
| 13 | Maksymilian Szuber | D | 19 | 1 | 6 | 7 | 5 | 12 | 0 | 34 | 21 | 8 | 9 | 4.76% | 17 | 21.30 | 1 | 1 | 2 | 50 | 0 | 0 | 0 | 43 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
| 14 | Stian Solberg | D | 19 | 0 | 6 | 6 | 10 | 25 | 5 | 51 | 20 | 10 | 12 | 0.00% | 25 | 21.70 | 0 | 0 | 0 | 54 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
| 15 | Wyatte Wylie | D | 19 | 0 | 5 | 5 | 3 | 0 | 0 | 20 | 11 | 5 | 13 | 0.00% | 26 | 18.18 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 54 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
| 16 | Martin Chromiak | RW | 19 | 3 | 2 | 5 | 0 | 6 | 0 | 17 | 39 | 13 | 30 | 7.69% | 4 | 14.10 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 24.00% | 25 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
| 17 | Ethan Samson | D | 16 | 0 | 3 | 3 | 3 | 19 | 5 | 33 | 14 | 2 | 6 | 0.00% | 9 | 17.66 | 0 | 2 | 2 | 36 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | ||
| 18 | Coulson Pitre | C/RW | 2 | 1 | 0 | 1 | -1 | 0 | 0 | 1 | 9 | 2 | 6 | 11.11% | 0 | 16.36 | 1 | 0 | 1 | 5 | 0 | 0 | 0 | 0 | 1 | 0 | 41.18% | 51 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
| 19 | Stanislav Svozil | D | 19 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 2 | 6 | 0.00% | 3 | 5.36 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 20 | Ben Meyers | C | 19 | 0 | 0 | 0 | 3 | 2 | 0 | 5 | 14 | 2 | 12 | 0.00% | 1 | 8.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 14 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 21 | Xavier Bernard | D | 5 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 0 | 0 | 1 | 0.00% | 0 | 2.46 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 363 | 62 | 111 | 173 | 95 | 160 | 20 | 459 | 638 | 178 | 433 | 9.72% | 166 | 15.50 | 7 | 13 | 20 | 556 | 0 | 0 | 0 | 426 | 13 | 3 | 46.60% | 1676 | 0 | 0 | 1 | 0 | 0.61 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | 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 | Dylan Garand | 10 | 8 | 2 | 0 | 0.924 | 2.30 | 599 | 4 | 1 | 23 | 303 | 0 | 0 | 0 | 0.000 | 0 | 10 | 9 | 2 | 0 | 0 | |
| 2 | Ivan Fedotov | 9 | 5 | 4 | 0 | 0.910 | 3.12 | 539 | 0 | 0 | 28 | 310 | 0 | 1 | 0 | 0.000 | 0 | 9 | 10 | 0 | 1 | 0 | |
| Team Total or Average | 19 | 13 | 6 | 0 | 0.917 | 2.69 | 1138 | 4 | 1 | 51 | 613 | 0 | 1 | 0 | 0.000 | 0 | 19 | 19 | 2 | 1 | 0 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Beckman | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Aidan Dudas | LW | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
| Ben Meyers | C | 27 | 800,000$ | 800,000$ | UFA | ||||||
| Coulson Pitre | C/RW | 20 | 860,000$ | 860,000$ | 860,000$ | RFA | |||||
| Dylan Garand | G | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Ethan Samson | D | 22 | 846,667$ | 846,667$ | RFA | ||||||
| Isaac Howard | LW/RW | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
| Ivan Fedotov | G | 28 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
| Jared McIsaac | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Jon-Randall Avon | C | 22 | 800,000$ | 800,000$ | RFA | ||||||
| Maksymilian Szuber | D | 23 | 859,167$ | 859,167$ | RFA | ||||||
| Martin Chromiak | RW | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
| Mikael Pyyhtia | LW | 23 | 1,250,000$ | 1,250,000$ | 1,250,000$ | ||||||
| Mike Hardman | LW/RW | 26 | 800,000$ | 800,000$ | |||||||
| Ondrej Becher | C | 21 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
| Oskar Steen | C/RW | 27 | 800,000$ | 800,000$ | UFA | ||||||
| Otto Stenberg | C/LW/RW | 20 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
| Owen Allard | C/LW | 21 | 869,167$ | 869,167$ | 869,167$ | 869,167$ | RFA | ||||
| Patrick Bajkov | LW/RW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Ruslan Khazheyev | G | 21 | 845,000$ | 845,000$ | 845,000$ | RFA | |||||
| Ryan Chesley | D | 21 | 923,333$ | 923,333$ | 923,333$ | 923,333$ | RFA | ||||
| Samuel Fagemo | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Stanislav Svozil | D | 22 | 825,000$ | 825,000$ | RFA | ||||||
| Stian Solberg | D | 19 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Tarmo Reunanen | D | 27 | 925,000$ | 925,000$ | 925,000$ | UFA | |||||
| Taylor Gauthier | G | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Tobie Bisson | D | 28 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
| Topi Niemela | D | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Ty Pelton-Byce | C | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Tyler Madden | C | 26 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
| Wyatte Wylie | D | 26 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | UFA | ||||
| Xavier Bernard | D | 25 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | UFA | ||||
| Xavier Simoneau | C/LW/RW | 24 | 800,000$ | 800,000$ | 800,000$ |
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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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 22 | 17 | 23 | 0 | 37 | 215 | 190 | 231 | 0 | 37 | 13 | 10 | 25 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 319 | 703 | 45.38% | 333 | 657 | 50.68% | 129 | 316 | 40.82% | 444 | 294 | 437 | 147 | 258 | 127 | 57.1% | 13.5% | 89.2% | 102.7 | FUN | |
| 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 22 | 17 | 23 | 0 | 73 | 215 | 190 | 231 | 0 | 60 | 6 | 16 | 42 | 5 | 1 | 20.00% | 8 | 2 | 75.00% | 0 | 319 | 703 | 45.38% | 333 | 657 | 50.68% | 129 | 316 | 40.82% | 444 | 294 | 437 | 147 | 258 | 127 | 70.0% | 11.0% | 91.7% | 102.6 | LUCKY | |
| 3 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 7 | 6 | 6 | 1.000 | 13 | 23 | 36 | 0 | 0 | 22 | 17 | 23 | 0 | 103 | 215 | 190 | 231 | 0 | 97 | 23 | 29 | 69 | 13 | 1 | 7.69% | 10 | 3 | 70.00% | 0 | 319 | 703 | 45.38% | 333 | 657 | 50.68% | 129 | 316 | 40.82% | 444 | 294 | 437 | 147 | 258 | 127 | 75.0% | 12.6% | 92.8% | 105.4 | LUCKY | |
| 4 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 2 | 0.333 | 4 | 8 | 12 | 0 | 1 | 22 | 17 | 23 | 0 | 74 | 215 | 190 | 231 | 0 | 82 | 30 | 22 | 74 | 9 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 319 | 703 | 45.38% | 333 | 657 | 50.68% | 129 | 316 | 40.82% | 444 | 294 | 437 | 147 | 258 | 127 | 40.0% | 5.4% | 89.0% | 94.4 | Unlucky | |
| 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 22 | 17 | 23 | 0 | 33 | 215 | 190 | 231 | 0 | 40 | 11 | 2 | 22 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 319 | 703 | 45.38% | 333 | 657 | 50.68% | 129 | 316 | 40.82% | 444 | 294 | 437 | 147 | 258 | 127 | 25.0% | 6.1% | 92.5% | 98.6 | DULL | |
| 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 22 | 17 | 23 | 0 | 60 | 215 | 190 | 231 | 0 | 82 | 20 | 23 | 52 | 5 | 0 | 0.00% | 9 | 4 | 55.56% | 0 | 319 | 703 | 45.38% | 333 | 657 | 50.68% | 129 | 316 | 40.82% | 444 | 294 | 437 | 147 | 258 | 127 | 77.8% | 11.7% | 92.7% | 104.3 | LUCKY | |
| 7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 22 | 17 | 23 | 0 | 46 | 215 | 190 | 231 | 0 | 38 | 9 | 8 | 19 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 319 | 703 | 45.38% | 333 | 657 | 50.68% | 129 | 316 | 40.82% | 444 | 294 | 437 | 147 | 258 | 127 | 40.0% | 8.7% | 84.2% | 92.9 | Unlucky | |
| 8 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 6 | 1.000 | 11 | 19 | 30 | 0 | 0 | 22 | 17 | 23 | 0 | 92 | 215 | 190 | 231 | 0 | 87 | 31 | 18 | 70 | 10 | 1 | 10.00% | 9 | 1 | 88.89% | 0 | 319 | 703 | 45.38% | 333 | 657 | 50.68% | 129 | 316 | 40.82% | 444 | 294 | 437 | 147 | 258 | 127 | 71.4% | 12.0% | 94.3% | 106.2 | LUCKY | |
| 9 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 0.667 | 8 | 14 | 22 | 0 | 0 | 22 | 17 | 23 | 0 | 118 | 215 | 190 | 231 | 0 | 90 | 22 | 36 | 83 | 9 | 2 | 22.22% | 7 | 1 | 85.71% | 0 | 319 | 703 | 45.38% | 333 | 657 | 50.68% | 129 | 316 | 40.82% | 444 | 294 | 437 | 147 | 258 | 127 | 54.5% | 6.8% | 93.3% | 100.1 | DULL | |
| _Vs Division | 16 | 13 | 4 | 0 | 0 | 0 | 0 | 0 | 51 | 38 | 13 | 26 | 0.813 | 51 | 91 | 142 | 0 | 1 | 22 | 17 | 23 | 0 | 520 | 215 | 190 | 231 | 0 | 498 | 132 | 144 | 390 | 51 | 5 | 9.80% | 54 | 14 | 74.07% | 0 | 319 | 703 | 45.38% | 333 | 657 | 50.68% | 129 | 316 | 40.82% | 444 | 294 | 437 | 147 | 258 | 127 | 65.7% | 9.8% | 92.4% | 102.2 | LUCKY | |
| _Vs Conference | 17 | 13 | 4 | 0 | 0 | 0 | 0 | 0 | 56 | 42 | 14 | 26 | 0.765 | 56 | 101 | 157 | 0 | 1 | 22 | 17 | 23 | 0 | 557 | 215 | 190 | 231 | 0 | 535 | 145 | 154 | 415 | 53 | 6 | 11.32% | 59 | 15 | 74.58% | 0 | 319 | 703 | 45.38% | 333 | 657 | 50.68% | 129 | 316 | 40.82% | 444 | 294 | 437 | 147 | 258 | 127 | 64.9% | 10.1% | 92.1% | 102.2 | LUCKY | |
| _Since Last GM Reset | 19 | 13 | 6 | 0 | 0 | 0 | 0 | 0 | 62 | 51 | 11 | 26 | 0.684 | 62 | 111 | 173 | 0 | 1 | 22 | 17 | 23 | 0 | 636 | 215 | 190 | 231 | 0 | 613 | 165 | 164 | 456 | 63 | 7 | 11.11% | 64 | 15 | 76.56% | 0 | 319 | 703 | 45.38% | 333 | 657 | 50.68% | 129 | 316 | 40.82% | 444 | 294 | 437 | 147 | 258 | 127 | 60.4% | 9.7% | 91.7% | 101.4 | LUCKY | |
| Total | 19 | 13 | 6 | 0 | 0 | 0 | 0 | 0 | 62 | 51 | 11 | 26 | 0.684 | 62 | 111 | 173 | 0 | 1 | 22 | 17 | 23 | 0 | 636 | 215 | 190 | 231 | 0 | 613 | 165 | 164 | 456 | 63 | 7 | 11.11% | 64 | 15 | 76.56% | 0 | 319 | 703 | 45.38% | 333 | 657 | 50.68% | 129 | 316 | 40.82% | 444 | 294 | 437 | 147 | 258 | 127 | 60.4% | 9.7% | 91.7% | 101.4 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 703 |
| Neutral Zone Start | 316 |
| Defensive Zone Start | 657 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 781 |
| Faceoffs Lost | 895 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.3 | 9.57 |
| 2nd Period | 21.3 | 20.31 |
| 3rd Period | 33.5 | 30.68 |
| Overtime | 33.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.2 | 0.64 |
| 2nd Period | 2.1 | 1.65 |
| 3rd Period | 3.3 | 2.67 |
| Overtime | 3.3 | 2.83 |
| Even Strenght Goal | 55 |
|---|---|
| PP Goal | 7 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 8 | 5 |
| Lost | 3 | 3 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 63 |
|---|---|
| PP Goal | 7 |
| PK Attempt | 64 |
| PK Goal Against | 15 |
| Home | |
|---|---|
| Shots For | 33.5 |
| Shots Against | 32.3 |
| Goals For | 3.3 |
| Goals Against | 2.7 |
| Hits | 24.0 |
| Shots Blocked | 8.7 |
| Pim | 8.6 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | IceHogs3,Firebirds2 | RECAP | |||||||||||
| 2025-10-11 | @ | Firebirds3,Stars2 | RECAP | |||||||||||
| 2025-10-15 | @ | Moose2,Firebirds3 | RECAP | |||||||||||
| 2025-10-18 | @ | Wild2,Firebirds5 | RECAP | |||||||||||
| 2025-10-21 | @ | Firebirds2,Admirals0 | RECAP | |||||||||||
| 2025-10-22 | @ | Eagles2,Firebirds4 | RECAP | |||||||||||
| 2025-10-24 | @ | Firebirds2,Admirals4 | RECAP | |||||||||||
| 2025-10-26 | @ | Wild3,Firebirds5 | RECAP | |||||||||||
| 2025-10-28 | @ | Firebirds3,Stars1 | RECAP | |||||||||||
| 2025-10-29 | @ | Firebirds5,Wolves4 | RECAP | |||||||||||
| 2025-10-31 | @ | IceHogs3,Firebirds5 | RECAP | |||||||||||
| 2025-11-03 | @ | Eagles3,Firebirds4 | RECAP | |||||||||||
| 2025-11-05 | @ | Firebirds5,Moose1 | RECAP | |||||||||||
| 2025-11-10 | @ | Moose2,Firebirds3 | RECAP | |||||||||||
| 2025-11-14 | @ | Firebirds2,Americans3 | RECAP | |||||||||||
| 2025-11-15 | @ | Wild2,Firebirds3 | RECAP | |||||||||||
| 2025-11-19 | @ | Stars3,Firebirds2 | RECAP | |||||||||||
| 2025-11-23 | @ | Checkers6,Firebirds4 | RECAP | |||||||||||
| 2025-11-25 | @ | Firebirds0,Admirals5 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,612,167$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Coachella Valley | |
| Capacity | 3000 | |
| Season Ticket Holders | 0% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 25 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,612,167$ | 2,612,167$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 862,949$ | 14,512$ | 726,827$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 141 | 17,290$ | 2,230,410$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,230,410$ | 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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