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Full Scoreboard »» |
| San Diego Gulls 24-13-1, 49pts · 4th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Phillip Di Giuseppe | 0 | LW/RW | 100.00 | 86 | 33 | 92 | 59 | 75 | 74 | 69 | 60 | 57 | 66 | 56 | 63 | 58 | 79 | 78 | 0 | 66 | 73 | 32 | 800,000$/2yrs | |||
Ryan Greene (R) | 0 | C/RW | 100.00 | 63 | 32 | 96 | 64 | 70 | 82 | 73 | 59 | 78 | 65 | 61 | 71 | 60 | 62 | 61 | 0 | 59 | 73 | 22 | 950,000$/2yrs | |||
Colin Blackwell | 0 | C/LW/RW | 100.00 | 73 | 32 | 89 | 55 | 71 | 74 | 86 | 57 | 75 | 62 | 59 | 70 | 58 | 80 | 79 | 0 | 62 | 72 | 32 | 850,000$/1yrs | |||
Zach Aston-Reese | 0 | LW/RW | 100.00 | 82 | 36 | 87 | 57 | 80 | 76 | 86 | 56 | 58 | 60 | 57 | 70 | 57 | 78 | 76 | 0 | 66 | 72 | 31 | 800,000$/2yrs | |||
Stephen Halliday (R) | 0 | C/LW | 100.00 | 68 | 41 | 77 | 63 | 85 | 68 | 87 | 63 | 62 | 66 | 58 | 61 | 62 | 59 | 57 | 0 | 21 | 72 | 23 | 950,000$/1yrs | |||
Ilya Protas (R) | 0 | C/LW | 100.00 | 63 | 40 | 86 | 66 | 93 | 68 | 71 | 62 | 57 | 62 | 65 | 57 | 64 | 52 | 51 | 0 | 38 | 72 | 19 | 856,667$/3yrs | |||
Elmer Soderblom (R) | 0 | C/LW/RW | 100.00 | 75 | 35 | 90 | 61 | 99 | 75 | 76 | 56 | 58 | 61 | 62 | 55 | 59 | 65 | 64 | 0 | 69 | 71 | 24 | 1,000,000$/2yrs | |||
Max Sasson | 0 | C/LW/RW | 100.00 | 60 | 32 | 90 | 61 | 72 | 72 | 89 | 59 | 74 | 55 | 70 | 59 | 64 | 67 | 66 | 0 | 66 | 71 | 25 | 800,000$/3yrs | |||
Antonio Stranges (R) | 0 | C/LW | 100.00 | 63 | 38 | 86 | 61 | 69 | 67 | 85 | 59 | 64 | 61 | 59 | 62 | 60 | 59 | 58 | 0 | 66 | 70 | 23 | 900,000$/2yrs | |||
Justin Dowling | 36 | C/LW/RW | 100.00 | 68 | 32 | 95 | 55 | 68 | 72 | 76 | 51 | 77 | 58 | 55 | 57 | 53 | 84 | 83 | 0 | 66 | 68 | 35 | 775,000$/2yrs | |||
Nikita Chibrikov (R) | 0 | LW/RW | 100.00 | 61 | 37 | 90 | 59 | 66 | 64 | 76 | 58 | 46 | 58 | 56 | 61 | 57 | 57 | 56 | 0 | 66 | 68 | 22 | 875,833$/1yrs | |||
Akil Thomas (R) | 0 | C/LW/RW | 100.00 | 76 | 42 | 90 | 55 | 68 | 71 | 70 | 55 | 72 | 57 | 55 | 56 | 55 | 68 | 67 | 0 | 63 | 67 | 24 | 950,000$/1yrs | |||
Uvis Balinskis | 0 | D | 100.00 | 73 | 33 | 83 | 58 | 76 | 77 | 85 | 57 | 30 | 64 | 55 | 62 | 56 | 74 | 72 | 0 | 66 | 73 | 29 | 850,000$/1yrs | |||
Spencer Stastney | 0 | D | 100.00 | 56 | 32 | 91 | 58 | 72 | 80 | 90 | 55 | 30 | 64 | 54 | 66 | 55 | 68 | 67 | 0 | 66 | 72 | 26 | 850,000$/1yrs | |||
Noah Juulsen | 0 | D | 100.00 | 84 | 37 | 84 | 55 | 80 | 80 | 78 | 51 | 30 | 56 | 53 | 70 | 52 | 73 | 71 | 0 | 66 | 71 | 28 | 1,100,000$/3yrs | |||
Josh Brown | 0 | D | 100.00 | 91 | 44 | 50 | 49 | 90 | 64 | 80 | 48 | 30 | 54 | 50 | 71 | 52 | 73 | 68 | 0 | 66 | 68 | 31 | 1,000,000$/2yrs | |||
David Spacek (R) | 0 | D | 100.00 | 63 | 38 | 86 | 55 | 69 | 64 | 90 | 52 | 30 | 61 | 52 | 62 | 56 | 57 | 56 | 0 | 20 | 68 | 22 | 862,500$/1yrs | |||
Donovan Sebrango (R) | 0 | D | 100.00 | 87 | 42 | 50 | 51 | 77 | 64 | 77 | 51 | 30 | 57 | 55 | 63 | 56 | 59 | 54 | 0 | 69 | 67 | 23 | 900,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Vitali Kravtsov | 0 | LW/RW | 100.00 | 63 | 33 | 92 | 55 | 76 | 74 | 72 | 57 | 55 | 57 | 60 | 55 | 59 | 65 | 65 | 0 | 40 | 68 | 26 | 1,255,000$/1yrs | |||
Ty Glover | 0 | C | 100.00 | 64 | 39 | 85 | 55 | 81 | 63 | 74 | 61 | 69 | 55 | 54 | 65 | 54 | 63 | 61 | 0 | 20 | 68 | 25 | 800,000$/2yrs | |||
Dylan Roobroeck (R) | 0 | C/LW/RW | 100.00 | 70 | 41 | 74 | 59 | 87 | 64 | 89 | 57 | 63 | 55 | 59 | 60 | 57 | 56 | 53 | 0 | 34 | 68 | 21 | 850,000$/2yrs | |||
Juraj Pekarcik (R) | 0 | C/LW/RW | 100.00 | 58 | 39 | 94 | 60 | 81 | 64 | 71 | 56 | 43 | 59 | 57 | 59 | 58 | 54 | 53 | 0 | 36 | 68 | 20 | 838,333$/3yrs | |||
Jaxsen Wiebe | 0 | C/RW | 100.00 | 71 | 40 | 73 | 53 | 81 | 62 | 66 | 62 | 40 | 51 | 54 | 65 | 52 | 63 | 60 | 0 | 20 | 67 | 23 | 852,500$/1yrs | |||
Jakub Rychlovsky | 0 | LW/RW | 100.00 | 61 | 39 | 89 | 55 | 76 | 63 | 81 | 60 | 40 | 55 | 53 | 63 | 54 | 61 | 60 | 0 | 20 | 67 | 24 | 870,000$/1yrs | |||
Nikita Prishchepov | 0 | C/LW | 100.00 | 73 | 40 | 69 | 59 | 77 | 64 | 80 | 57 | 65 | 58 | 55 | 60 | 57 | 56 | 53 | 0 | 61 | 67 | 21 | 806,667$/2yrs | |||
Nicolas Beaudin | 92 | D | 100.00 | 72 | 39 | 71 | 54 | 66 | 63 | 75 | 50 | 30 | 60 | 47 | 66 | 53 | 64 | 61 | 0 | 20 | 68 | 26 | ||||
Cole Krygier | 0 | D | 100.00 | 91 | 43 | 50 | 48 | 78 | 63 | 69 | 48 | 30 | 54 | 52 | 65 | 53 | 63 | 58 | 0 | 20 | 66 | 27 | 800,000$/2yrs | |||
Leo Loof (R) | 0 | D | 100.00 | 73 | 40 | 69 | 51 | 72 | 62 | 86 | 49 | 30 | 56 | 51 | 63 | 53 | 59 | 56 | 0 | 64 | 66 | 23 | 867,500$/1yrs | |||
Ty Murchison (R) | 0 | D | 100.00 | 89 | 43 | 50 | 49 | 77 | 62 | 72 | 48 | 30 | 54 | 52 | 62 | 53 | 57 | 52 | 0 | 36 | 65 | 22 | 860,000$/2yrs | |||
Ole Bjorgvik-Holm (R) | 0 | D | 100.00 | 74 | 41 | 68 | 47 | 79 | 61 | 79 | 47 | 30 | 52 | 52 | 63 | 52 | 59 | 56 | 0 | 20 | 64 | 23 | 800,000$/2yrs | |||
John Parker-Jones | 0 | RWD | 100.00 | 86 | 44 | 50 | 44 | 96 | 59 | 69 | 42 | 30 | 46 | 48 | 65 | 47 | 62 | 57 | 0 | 20 | 62 | 25 | 800,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Connor Ingram | 0 | 100.00 | 60 | 72 | 71 | 80 | 72 | 71 | 74 | 80 | 78 | 82 | 74 | 73 | 77 | 0 | 78 | 78 | 28 | 2,000,000$/3yrs |
Mitchell Gibson | 0 | 100.00 | 73 | 76 | 70 | 70 | 78 | 74 | 74 | 73 | 74 | 74 | 74 | 64 | 66 | 0 | 38 | 77 | 26 | 800,000$/2yrs |
| Scratches | ||||||||||||||||||||
Spencer Martin | 30 | 100.00 | 67 | 69 | 68 | 78 | 69 | 77 | 70 | 67 | 77 | 74 | 71 | 72 | 72 | 0 | 21 | 76 | 30 | 950,000$/1yrs |
Matt Villalta | 0 | 100.00 | 70 | 78 | 68 | 78 | 68 | 75 | 71 | 70 | 75 | 74 | 72 | 65 | 66 | 0 | 21 | 76 | 26 | 850,000$/2yrs |
Matt Tomkins | 90 | 100.00 | 66 | 72 | 67 | 79 | 66 | 75 | 70 | 66 | 75 | 72 | 70 | 74 | 74 | 0 | 20 | 75 | 31 | 800,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Joe Sacco | 88 | 74 | 68 | 84 | 71 | 78 | 70 | USA | 56 | 3 | 500,000$ |
| 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 | Noah Juulsen | D | 38 | 5 | 23 | 28 | 13 | 28 | 0 | 111 | 80 | 20 | 52 | 6.25% | 75 | 22.39 | 0 | 2 | 2 | 107 | 0 | 0 | 0 | 103 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | ||
| 2 | Zach Aston-Reese | LW/RW | 38 | 6 | 22 | 28 | -5 | 16 | 0 | 113 | 115 | 36 | 91 | 5.22% | 16 | 20.74 | 2 | 4 | 6 | 118 | 0 | 0 | 0 | 91 | 0 | 1 | 36.26% | 91 | 0 | 0 | 0 | 0 | 0.71 | 1 | 1 | ||
| 3 | Josh Brown | D | 38 | 5 | 20 | 25 | -3 | 60 | 0 | 125 | 79 | 33 | 52 | 6.33% | 56 | 24.07 | 2 | 2 | 4 | 125 | 0 | 2 | 2 | 95 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
| 4 | Phillip Di Giuseppe | LW/RW | 38 | 15 | 9 | 24 | 5 | 20 | 0 | 96 | 123 | 36 | 85 | 12.20% | 15 | 20.92 | 4 | 1 | 5 | 116 | 0 | 1 | 1 | 96 | 3 | 1 | 53.33% | 60 | 0 | 0 | 0 | 0 | 0.60 | 1 | 1 | ||
| 5 | Colin Blackwell | C/LW/RW | 20 | 12 | 10 | 22 | 9 | 10 | 0 | 22 | 75 | 17 | 49 | 16.00% | 9 | 21.84 | 2 | 5 | 7 | 64 | 1 | 0 | 1 | 66 | 3 | 0 | 57.85% | 662 | 0 | 0 | 0 | 0 | 1.01 | 0 | 0 | ||
| 6 | Antonio Stranges | C/LW | 38 | 7 | 14 | 21 | 8 | 6 | 0 | 18 | 93 | 24 | 77 | 7.53% | 6 | 15.43 | 1 | 3 | 4 | 101 | 1 | 0 | 1 | 47 | 2 | 0 | 49.38% | 81 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | ||
| 7 | Spencer Stastney | D | 38 | 4 | 14 | 18 | 7 | 0 | 0 | 4 | 64 | 31 | 42 | 6.25% | 43 | 23.14 | 3 | 5 | 8 | 117 | 0 | 1 | 1 | 118 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
| 8 | Nikita Chibrikov | LW/RW | 38 | 6 | 10 | 16 | 9 | 18 | 0 | 49 | 67 | 20 | 55 | 8.96% | 3 | 12.44 | 0 | 1 | 1 | 35 | 0 | 0 | 0 | 0 | 2 | 0 | 44.00% | 25 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | ||
| 9 | Ryan Greene | C/RW | 35 | 6 | 10 | 16 | 7 | 2 | 0 | 29 | 85 | 16 | 65 | 7.06% | 6 | 16.22 | 0 | 2 | 2 | 60 | 0 | 0 | 0 | 82 | 0 | 1 | 56.37% | 479 | 0 | 0 | 0 | 0 | 0.56 | 0 | 1 | ||
| 10 | Max Sasson | C/LW/RW | 38 | 5 | 8 | 13 | 3 | 4 | 0 | 12 | 49 | 20 | 45 | 10.20% | 3 | 11.31 | 0 | 3 | 3 | 76 | 0 | 0 | 0 | 0 | 4 | 1 | 56.58% | 509 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
| 11 | Nikita Prishchepov | C/LW | 34 | 6 | 7 | 13 | 6 | 12 | 0 | 54 | 54 | 8 | 37 | 11.11% | 5 | 9.11 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 11 | 2 | 0 | 51.72% | 29 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 | ||
| 12 | Akil Thomas | C/LW/RW | 38 | 6 | 5 | 11 | 3 | 15 | 5 | 45 | 66 | 18 | 29 | 9.09% | 2 | 9.72 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 4 | 0 | 0 | 52.03% | 419 | 0 | 0 | 0 | 0 | 0.60 | 0 | 1 | ||
| 13 | Donovan Sebrango | D | 38 | 4 | 6 | 10 | 0 | 63 | 15 | 115 | 23 | 6 | 11 | 17.39% | 33 | 14.51 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 19 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
| 14 | Uvis Balinskis | D | 38 | 3 | 7 | 10 | 9 | 6 | 0 | 11 | 40 | 16 | 17 | 7.50% | 34 | 20.69 | 0 | 1 | 1 | 115 | 0 | 0 | 0 | 52 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
| 15 | Justin Dowling | C/LW/RW | 38 | 4 | 5 | 9 | 0 | 6 | 0 | 18 | 43 | 12 | 36 | 9.30% | 2 | 13.11 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 37 | 0 | 0 | 64.52% | 93 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
| 16 | Leo Loof | D | 35 | 0 | 4 | 4 | 2 | 2 | 0 | 9 | 8 | 6 | 3 | 0.00% | 44 | 15.81 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 66 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | ||
| 17 | Vitali Kravtsov | LW/RW | 21 | 0 | 3 | 3 | 2 | 4 | 0 | 6 | 19 | 8 | 12 | 0.00% | 0 | 8.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 60.00% | 10 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
| 18 | Elmer Soderblom | C/LW/RW | 7 | 1 | 1 | 2 | -3 | 8 | 0 | 8 | 15 | 7 | 20 | 6.67% | 1 | 15.05 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 30.00% | 10 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
| 19 | Stephen Halliday | C/LW | 4 | 1 | 0 | 1 | -3 | 6 | 0 | 5 | 18 | 3 | 10 | 5.56% | 4 | 16.50 | 1 | 0 | 1 | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 14 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
| 20 | Ilya Protas | C/LW | 3 | 0 | 1 | 1 | -2 | 0 | 0 | 3 | 13 | 2 | 3 | 0.00% | 0 | 13.46 | 0 | 1 | 1 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
| 21 | David Spacek | D | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 2 | 1 | 1 | 0.00% | 1 | 14.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 22 | Dylan Roobroeck | C/LW/RW | 21 | 0 | 0 | 0 | -5 | 6 | 0 | 11 | 23 | 6 | 7 | 0.00% | 2 | 7.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41.67% | 12 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 639 | 96 | 179 | 275 | 61 | 292 | 20 | 864 | 1154 | 346 | 799 | 8.32% | 360 | 16.24 | 15 | 30 | 45 | 1087 | 3 | 4 | 7 | 897 | 19 | 7 | 55.03% | 2495 | 0 | 0 | 0 | 0 | 0.53 | 2 | 4 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Connor Ingram | 16 | 12 | 3 | 0 | 0.930 | 2.08 | 924 | 0 | 2 | 32 | 457 | 0 | 0 | 0 | 0.500 | 2 | 15 | 8 | 3 | 1 | 0 | |
| 2 | Mitchell Gibson | 6 | 4 | 2 | 0 | 0.920 | 2.65 | 363 | 0 | 0 | 16 | 201 | 0 | 1 | 0 | 0.000 | 0 | 6 | 9 | 1 | 0 | 0 | |
| Team Total or Average | 22 | 16 | 5 | 0 | 0.927 | 2.24 | 1288 | 0 | 2 | 48 | 658 | 0 | 1 | 0 | 0.500 | 2 | 21 | 17 | 4 | 1 | 0 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Akil Thomas | C/LW/RW | 24 | 950,000$ | 950,000$ | |||||||
| Antonio Stranges | C/LW | 23 | 900,000$ | 900,000$ | 900,000$ | ||||||
| Cole Krygier | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Colin Blackwell | C/LW/RW | 32 | 850,000$ | 850,000$ | UFA | ||||||
| Connor Ingram | G | 28 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
| David Spacek | D | 22 | 862,500$ | 862,500$ | RFA | ||||||
| Donovan Sebrango | D | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
| Dylan Roobroeck | C/LW/RW | 21 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
| Elmer Soderblom | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Ilya Protas | C/LW | 19 | 856,667$ | 856,667$ | 856,667$ | 856,667$ | RFA | ||||
| Jakub Rychlovsky | LW/RW | 24 | 870,000$ | 870,000$ | |||||||
| Jaxsen Wiebe | C/RW | 23 | 852,500$ | 852,500$ | RFA | ||||||
| John Parker-Jones | RW/D | 25 | 800,000$ | 800,000$ | |||||||
| Josh Brown | D | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Juraj Pekarcik | C/LW/RW | 20 | 838,333$ | 838,333$ | 838,333$ | 838,333$ | RFA | ||||
| Justin Dowling | C/LW/RW | 35 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
| Leo Loof | D | 23 | 867,500$ | 867,500$ | RFA | ||||||
| Matt Tomkins | G | 31 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Matt Villalta | G | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
| Max Sasson | C/LW/RW | 25 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
| Mitchell Gibson | G | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Nicolas Beaudin | D | 26 | 0$ | ||||||||
| Nikita Chibrikov | LW/RW | 22 | 875,833$ | 875,833$ | RFA | ||||||
| Nikita Prishchepov | C/LW | 21 | 806,667$ | 806,667$ | 806,667$ | RFA | |||||
| Noah Juulsen | D | 28 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | ||||
| Ole Bjorgvik-Holm | D | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Phillip Di Giuseppe | LW/RW | 32 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Ryan Greene | C/RW | 22 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
| Spencer Martin | G | 30 | 950,000$ | 950,000$ | UFA | ||||||
| Spencer Stastney | D | 26 | 850,000$ | 850,000$ | |||||||
| Stephen Halliday | C/LW | 23 | 950,000$ | 950,000$ | RFA | ||||||
| Ty Glover | C | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Ty Murchison | D | 22 | 860,000$ | 860,000$ | 860,000$ | RFA | |||||
| Uvis Balinskis | D | 29 | 850,000$ | 850,000$ | UFA | ||||||
| Vitali Kravtsov | LW/RW | 26 | 1,255,000$ | 1,255,000$ | |||||||
| Zach Aston-Reese | LW/RW | 31 | 800,000$ | 800,000$ | 800,000$ | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 39 | 34 | 31 | 8 | 27 | 393 | 414 | 474 | 25 | 48 | 14 | 6 | 22 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 33.3% | 3.7% | 95.8% | 99.5 | DULL | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 39 | 34 | 31 | 8 | 45 | 393 | 414 | 474 | 25 | 36 | 12 | 6 | 27 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 40.0% | 4.4% | 88.9% | 93.3 | Unlucky | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 39 | 34 | 31 | 8 | 30 | 393 | 414 | 474 | 25 | 40 | 11 | 17 | 21 | 6 | 2 | 33.33% | 6 | 2 | 66.67% | 0 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 0.0% | 6.7% | 90.0% | 96.7 | Unlucky | |
| 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 39 | 34 | 31 | 8 | 33 | 393 | 414 | 474 | 25 | 40 | 8 | 10 | 21 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 1 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 75.0% | 9.1% | 95.0% | 104.1 | LUCKY | |
| 5 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 39 | 34 | 31 | 8 | 35 | 393 | 414 | 474 | 25 | 32 | 10 | 6 | 23 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 60.0% | 8.6% | 93.8% | 102.3 | DULL | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 39 | 34 | 31 | 8 | 39 | 393 | 414 | 474 | 25 | 23 | 7 | 4 | 22 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 80.0% | 10.3% | 95.7% | 105.9 | LUCKY | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 39 | 34 | 31 | 8 | 42 | 393 | 414 | 474 | 25 | 17 | 6 | 6 | 22 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 62.5% | 11.9% | 76.5% | 88.4 | FUN | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 39 | 34 | 31 | 8 | 28 | 393 | 414 | 474 | 25 | 36 | 8 | 6 | 30 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 57.1% | 14.3% | 91.7% | 106.0 | LUCKY | |
| 9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 39 | 34 | 31 | 8 | 26 | 393 | 414 | 474 | 25 | 34 | 5 | 8 | 27 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 40.0% | 7.7% | 91.2% | 98.9 | DULL | |
| 10 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 7 | 6 | 4 | 0.667 | 13 | 24 | 37 | 0 | 0 | 39 | 34 | 31 | 8 | 104 | 393 | 414 | 474 | 25 | 70 | 27 | 33 | 62 | 15 | 2 | 13.33% | 9 | 3 | 66.67% | 0 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 73.3% | 12.5% | 90.0% | 102.5 | FUN | |
| 11 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 5 | 7 | 6 | 1.000 | 12 | 21 | 33 | 0 | 0 | 39 | 34 | 31 | 8 | 106 | 393 | 414 | 474 | 25 | 84 | 32 | 30 | 74 | 8 | 3 | 37.50% | 14 | 1 | 92.86% | 0 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 69.2% | 11.3% | 94.0% | 105.4 | LUCKY | |
| 12 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 39 | 34 | 31 | 8 | 80 | 393 | 414 | 474 | 25 | 69 | 16 | 25 | 54 | 5 | 2 | 40.00% | 10 | 0 | 100.00% | 0 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 55.6% | 8.8% | 94.2% | 103.0 | DULL | |
| 13 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 14 | 21 | 0 | 1 | 39 | 34 | 31 | 8 | 72 | 393 | 414 | 474 | 25 | 80 | 14 | 20 | 47 | 7 | 1 | 14.29% | 8 | 0 | 100.00% | 0 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 75.0% | 9.7% | 97.5% | 107.2 | LUCKY | |
| 14 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 10 | 9 | 1 | 6 | 0.750 | 10 | 17 | 27 | 0 | 1 | 39 | 34 | 31 | 8 | 146 | 393 | 414 | 474 | 25 | 147 | 34 | 28 | 80 | 14 | 4 | 28.57% | 11 | 2 | 81.82% | 1 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 46.2% | 6.8% | 93.9% | 100.7 | DULL | |
| 15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 39 | 34 | 31 | 8 | 77 | 393 | 414 | 474 | 25 | 59 | 19 | 12 | 41 | 9 | 0 | 0.00% | 6 | 0 | 100.00% | 1 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 70.0% | 9.1% | 94.9% | 104.0 | LUCKY | |
| 16 | 5 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 10 | 2 | 7 | 0.700 | 12 | 23 | 35 | 0 | 0 | 39 | 34 | 31 | 8 | 167 | 393 | 414 | 474 | 25 | 149 | 57 | 32 | 124 | 21 | 1 | 4.76% | 15 | 1 | 93.33% | 0 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 55.0% | 7.2% | 93.3% | 100.5 | DULL | |
| 17 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 39 | 34 | 31 | 8 | 28 | 393 | 414 | 474 | 25 | 27 | 12 | 10 | 21 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 75.0% | 10.7% | 92.6% | 103.3 | LUCKY | |
| 18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 39 | 34 | 31 | 8 | 28 | 393 | 414 | 474 | 25 | 44 | 13 | 11 | 31 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 0.0% | 0.0% | 93.2% | 93.2 | DULL | |
| 19 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 13 | -5 | 2 | 0.250 | 8 | 14 | 22 | 0 | 0 | 39 | 34 | 31 | 8 | 115 | 393 | 414 | 474 | 25 | 124 | 47 | 24 | 85 | 10 | 1 | 10.00% | 12 | 2 | 83.33% | 0 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 38.9% | 7.0% | 89.5% | 96.5 | Unlucky | |
| 20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 39 | 34 | 31 | 8 | 45 | 393 | 414 | 474 | 25 | 32 | 13 | 4 | 21 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 20.0% | 4.4% | 87.5% | 91.9 | Unlucky | |
| 21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 39 | 34 | 31 | 8 | 27 | 393 | 414 | 474 | 25 | 24 | 5 | 10 | 26 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 33.3% | 11.1% | 79.2% | 90.3 | FUN | |
| _Vs Division | 17 | 10 | 8 | 0 | 1 | 1 | 1 | 0 | 49 | 45 | 4 | 25 | 0.735 | 49 | 88 | 137 | 0 | 1 | 39 | 34 | 31 | 8 | 570 | 393 | 414 | 474 | 25 | 529 | 172 | 135 | 370 | 58 | 12 | 20.69% | 56 | 9 | 83.93% | 1 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 50.7% | 8.6% | 91.5% | 100.1 | DULL | |
| _Vs Conference | 28 | 12 | 10 | 0 | 3 | 1 | 2 | 0 | 79 | 68 | 11 | 35 | 0.625 | 79 | 140 | 219 | 0 | 1 | 39 | 34 | 31 | 8 | 939 | 393 | 414 | 474 | 25 | 880 | 280 | 226 | 640 | 94 | 15 | 15.96% | 97 | 12 | 87.63% | 2 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 53.3% | 8.4% | 92.3% | 100.7 | DULL | |
| _Since Last GM Reset | 38 | 18 | 13 | 0 | 4 | 1 | 2 | 0 | 110 | 92 | 18 | 49 | 0.645 | 110 | 200 | 310 | 0 | 2 | 39 | 34 | 31 | 8 | 1300 | 393 | 414 | 474 | 25 | 1215 | 370 | 308 | 881 | 136 | 18 | 13.24% | 131 | 17 | 87.02% | 3 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 55.1% | 8.5% | 92.4% | 100.9 | DULL | |
| Total | 38 | 18 | 13 | 0 | 4 | 1 | 2 | 0 | 110 | 92 | 18 | 49 | 0.645 | 110 | 200 | 310 | 0 | 2 | 39 | 34 | 31 | 8 | 1300 | 393 | 414 | 474 | 25 | 1215 | 370 | 308 | 881 | 136 | 18 | 13.24% | 131 | 17 | 87.02% | 3 | 756 | 1353 | 55.88% | 751 | 1412 | 53.19% | 321 | 590 | 54.41% | 908 | 612 | 883 | 299 | 512 | 254 | 55.1% | 8.5% | 92.4% | 100.9 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1353 |
| Neutral Zone Start | 590 |
| Defensive Zone Start | 1412 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1828 |
| Faceoffs Lost | 1527 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.3 | 9.57 |
| 2nd Period | 21.2 | 20.31 |
| 3rd Period | 33.7 | 30.68 |
| Overtime | 34.4 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 1.9 | 1.65 |
| 3rd Period | 2.7 | 2.67 |
| Overtime | 2.9 | 2.83 |
| Even Strenght Goal | 89 |
|---|---|
| PP Goal | 18 |
| PK Goal | 3 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 13 | 11 |
| Lost | 6 | 7 |
| Overtime Lost | 1 | 0 |
| PP Attempt | 136 |
|---|---|
| PP Goal | 18 |
| PK Attempt | 131 |
| PK Goal Against | 17 |
| Home | |
|---|---|
| Shots For | 34.2 |
| Shots Against | 32.0 |
| Goals For | 2.9 |
| Goals Against | 2.4 |
| Hits | 23.2 |
| Shots Blocked | 9.7 |
| Pim | 8.1 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-08 | @ | Reign2,Gulls5 | RECAP | |||||||||||
| 2025-10-09 | @ | Gulls2,Barracuda5 | RECAP | |||||||||||
| 2025-10-14 | @ | Gulls1,Wranglers2 | RECAP | |||||||||||
| 2025-10-16 | @ | Canucks1,Gulls4 | RECAP | |||||||||||
| 2025-10-19 | @ | Gulls2,Roadrunners1 | RECAP | |||||||||||
| 2025-10-20 | @ | Condors5,Gulls2 | RECAP | |||||||||||
| 2025-10-23 | @ | Silver Knights4,Gulls2 | RECAP | |||||||||||
| 2025-10-24 | @ | Gulls3,Crunch2 (OT) | RECAP | |||||||||||
| 2025-10-27 | @ | Gulls4,Roadrunners2 | RECAP | |||||||||||
| 2025-10-28 | @ | Reign2,Gulls3 (OT) | RECAP | |||||||||||
| 2025-10-30 | @ | Barracuda2,Gulls3 | RECAP | |||||||||||
| 2025-11-01 | @ | Gulls2,Barracuda3 | RECAP | |||||||||||
| 2025-11-04 | @ | Gulls3,Condors2 | RECAP | |||||||||||
| 2025-11-06 | @ | Roadrunners3,Gulls2 (OT) | RECAP | |||||||||||
| 2025-11-10 | @ | Gulls2,Senators4 | RECAP | |||||||||||
| 2025-11-12 | @ | Gulls3,Moose2 (OT) | RECAP | |||||||||||
| 2025-11-13 | @ | Bears3,Gulls4 | RECAP | |||||||||||
| 2025-11-16 | @ | Gulls4,Crunch0 | RECAP | |||||||||||
| 2025-11-17 | @ | Marlies3,Gulls0 | RECAP | |||||||||||
| 2025-11-20 | @ | Canucks1,Gulls6 | RECAP | |||||||||||
| 2025-11-22 | @ | Gulls3,Eagles2 (SO) | RECAP | |||||||||||
| 2025-11-27 | @ | Rocket4,Gulls5 | RECAP | |||||||||||
| 2025-12-01 | @ | Gulls4,Reign1 | RECAP | |||||||||||
| 2025-12-02 | @ | Thunderbirds1,Gulls4 | RECAP | |||||||||||
| 2025-12-05 | @ | Wild3,Gulls2 | RECAP | |||||||||||
| 2025-12-11 | @ | Wolves2,Gulls3 | RECAP | |||||||||||
| 2025-12-13 | @ | Gulls4,Griffins1 | RECAP | |||||||||||
| 2025-12-15 | @ | Gulls4,Admirals3 (OT) | RECAP | |||||||||||
| 2025-12-17 | @ | Phantoms4,Gulls2 | RECAP | |||||||||||
| 2025-12-21 | @ | Condors2,Gulls3 (SO) | RECAP | |||||||||||
| 2025-12-24 | @ | Gulls1,Roadrunners2 | RECAP | |||||||||||
| 2025-12-25 | @ | Condors0,Gulls2 | RECAP | |||||||||||
| 2025-12-29 | @ | Gulls3,Firebirds5 | RECAP | |||||||||||
| 2025-12-30 | @ | Roadrunners2,Gulls3 | RECAP | |||||||||||
| 2026-01-02 | @ | Gulls3,Thunderbirds2 | RECAP | |||||||||||
| 2026-01-03 | @ | Canucks5,Gulls3 | RECAP | |||||||||||
| 2026-01-08 | @ | Admirals1,Gulls3 | RECAP | |||||||||||
| 2026-01-11 | @ | Gulls1,Barracuda3 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,012,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | San Diego | |
| Capacity | 3000 | |
| Season Ticket Holders | 0% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 0$ | $ | $ | $ |
| 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 |
| 16 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,012,000$ | 3,012,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,776,495$ | 16,733$ | 1,507,049$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 95 | 19,511$ | 1,619,413$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,619,413$ | 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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