| San Diego Gulls 14-7-1, 29pts · 3rd 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Thomas Bordeleau | 0 | C/LW | 99.00 | 60 | 32 | 78 | 67 | 67 | 80 | 69 | 65 | 64 | 62 | 69 | 62 | 67 | 64 | 61 | 0 | 56 | 74 | 23 | 950,000$/1yrs | |||
Phillip Di Giuseppe | 0 | RW | 99.00 | 80 | 40 | 80 | 57 | 75 | 75 | 76 | 60 | 58 | 60 | 59 | 67 | 60 | 78 | 76 | 0 | 56 | 72 | 32 | 800,000$/2yrs | |||
Zach Aston-Reese | 0 | LW/RW | 99.00 | 81 | 36 | 87 | 58 | 80 | 78 | 78 | 56 | 57 | 60 | 58 | 71 | 57 | 76 | 75 | 0 | 56 | 72 | 31 | 800,000$/2yrs | |||
Ethen Frank | 0 | C | 100.00 | 60 | 32 | 91 | 63 | 71 | 74 | 69 | 60 | 55 | 59 | 66 | 60 | 63 | 70 | 69 | 0 | 56 | 72 | 27 | 825,000$/3yrs | |||
Akil Thomas (R) | 0 | C | 100.00 | 75 | 40 | 90 | 56 | 68 | 72 | 70 | 60 | 61 | 58 | 63 | 57 | 61 | 67 | 66 | 0 | 53 | 70 | 24 | 950,000$/1yrs | |||
Max Sasson | 0 | C | 100.00 | 63 | 32 | 99 | 58 | 72 | 73 | 70 | 57 | 73 | 60 | 61 | 56 | 59 | 66 | 65 | 0 | 56 | 70 | 25 | 800,000$/3yrs | |||
Justin Dowling | 36 | C/LW/RW | 100.00 | 68 | 32 | 95 | 55 | 68 | 73 | 73 | 52 | 77 | 58 | 57 | 57 | 55 | 83 | 82 | 0 | 56 | 69 | 35 | 775,000$/2yrs | |||
Antonio Stranges (R) | 0 | C/LW | 100.00 | 62 | 38 | 87 | 58 | 64 | 66 | 70 | 61 | 45 | 58 | 58 | 64 | 58 | 63 | 61 | 0 | 56 | 69 | 23 | 900,000$/2yrs | |||
Nikita Chibrikov (R) | 0 | LW/RW | 100.00 | 68 | 39 | 78 | 59 | 74 | 66 | 69 | 60 | 43 | 59 | 57 | 63 | 58 | 61 | 59 | 0 | 56 | 69 | 22 | 875,833$/1yrs | |||
Nikita Prishchepov | 0 | C/LW | 100.00 | 73 | 40 | 74 | 59 | 77 | 66 | 83 | 56 | 40 | 58 | 58 | 63 | 58 | 59 | 57 | 0 | 56 | 69 | 21 | 806,667$/2yrs | |||
Ryan Greene (R) | 0 | C/RW | 100.00 | 63 | 39 | 84 | 60 | 77 | 66 | 91 | 56 | 67 | 59 | 58 | 63 | 59 | 59 | 58 | 0 | 48 | 69 | 22 | 950,000$/2yrs | |||
Vitali Kravtsov | 0 | LW/RW | 100.00 | 63 | 33 | 92 | 55 | 76 | 74 | 72 | 57 | 55 | 57 | 60 | 55 | 59 | 65 | 65 | 0 | 29 | 68 | 25 | 1,255,000$/1yrs | |||
Josh Brown | 0 | D | 99.00 | 81 | 59 | 52 | 55 | 90 | 80 | 74 | 61 | 30 | 60 | 57 | 77 | 59 | 78 | 73 | 0 | 56 | 74 | 31 | 1,000,000$/2yrs | |||
Spencer Stastney | 0 | D | 99.00 | 55 | 32 | 91 | 60 | 72 | 81 | 90 | 58 | 30 | 67 | 56 | 63 | 57 | 68 | 67 | 0 | 56 | 73 | 25 | 850,000$/1yrs | |||
Noah Juulsen | 0 | D | 100.00 | 89 | 36 | 83 | 55 | 80 | 81 | 79 | 55 | 30 | 56 | 52 | 75 | 54 | 72 | 70 | 0 | 56 | 72 | 28 | 1,100,000$/3yrs | |||
Uvis Balinskis | 0 | D | 100.00 | 70 | 35 | 88 | 55 | 76 | 80 | 81 | 53 | 30 | 61 | 57 | 58 | 55 | 73 | 71 | 0 | 56 | 71 | 29 | 850,000$/1yrs | |||
Donovan Sebrango (R) | 0 | D | 100.00 | 89 | 44 | 50 | 50 | 86 | 63 | 66 | 49 | 30 | 55 | 53 | 65 | 54 | 63 | 58 | 0 | 59 | 67 | 23 | 900,000$/3yrs | |||
Leo Loof (R) | 0 | D | 100.00 | 70 | 40 | 74 | 49 | 79 | 62 | 65 | 48 | 30 | 55 | 50 | 65 | 52 | 63 | 60 | 0 | 56 | 66 | 23 | 867,500$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Ty Glover | 0 | C | 100.00 | 65 | 40 | 82 | 53 | 81 | 63 | 66 | 63 | 38 | 53 | 53 | 67 | 53 | 66 | 64 | 0 | 20 | 68 | 25 | 800,000$/2yrs | |||
Nate Danielson (R) | 0 | C | 100.00 | 64 | 39 | 84 | 58 | 75 | 65 | 67 | 59 | 59 | 59 | 55 | 62 | 57 | 59 | 58 | 0 | 20 | 68 | 21 | 886,666$/3yrs | |||
Dylan Roobroeck (R) | 0 | C/LW/RW | 100.00 | 67 | 41 | 79 | 58 | 87 | 64 | 69 | 59 | 46 | 54 | 58 | 62 | 56 | 59 | 57 | 0 | 39 | 68 | 21 | 850,000$/2yrs | |||
Jaxsen Wiebe | 0 | C | 100.00 | 71 | 40 | 73 | 53 | 81 | 62 | 66 | 62 | 40 | 51 | 54 | 65 | 52 | 63 | 60 | 0 | 20 | 67 | 23 | 852,500$/1yrs | |||
Jakub Rychlovsky | 0 | LW | 100.00 | 61 | 39 | 89 | 53 | 76 | 63 | 66 | 62 | 41 | 53 | 52 | 66 | 53 | 64 | 63 | 0 | 20 | 67 | 24 | 870,000$/1yrs | |||
Stephen Halliday (R) | 0 | C | 100.00 | 59 | 39 | 92 | 52 | 86 | 60 | 67 | 60 | 61 | 56 | 45 | 63 | 51 | 59 | 58 | 0 | 20 | 65 | 23 | 950,000$/1yrs | |||
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 | 72 | 40 | 71 | 49 | 79 | 63 | 65 | 48 | 30 | 54 | 51 | 67 | 52 | 66 | 63 | 0 | 20 | 66 | 27 | 800,000$/2yrs | |||
David Spacek (R) | 0 | D | 100.00 | 63 | 39 | 86 | 51 | 74 | 63 | 66 | 49 | 30 | 56 | 52 | 64 | 54 | 61 | 59 | 0 | 20 | 66 | 22 | 862,500$/1yrs | |||
Ole Bjorgvik-Holm (R) | 0 | D | 100.00 | 62 | 39 | 91 | 56 | 79 | 62 | 60 | 53 | 30 | 50 | 42 | 61 | 54 | 59 | 60 | 0 | 20 | 65 | 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 | 75 | 86 | 77 | 80 | 83 | 80 | 85 | 87 | 87 | 88 | 85 | 72 | 77 | 0 | 68 | 86 | 28 | 2,000,000$/3yrs |
Jakub Dobes | 0 | 100.00 | 72 | 66 | 68 | 84 | 79 | 66 | 79 | 84 | 78 | 86 | 79 | 65 | 69 | 0 | 61 | 80 | 24 | 965,000$/2yrs |
| Scratches | ||||||||||||||||||||
Spencer Martin | 30 | 100.00 | 63 | 70 | 70 | 79 | 70 | 69 | 73 | 81 | 75 | 80 | 73 | 75 | 78 | 0 | 29 | 78 | 30 | 950,000$/1yrs |
Mitchell Gibson | 0 | 100.00 | 73 | 76 | 70 | 70 | 78 | 74 | 74 | 73 | 74 | 74 | 74 | 64 | 66 | 0 | 46 | 77 | 26 | 800,000$/2yrs |
Matt Tomkins | 90 | 100.00 | 60 | 62 | 66 | 80 | 58 | 63 | 60 | 62 | 63 | 62 | 60 | 75 | 78 | 0 | 26 | 69 | 31 | 800,000$/2yrs |
Matt Villalta | 0 | 100.00 | 60 | 61 | 65 | 70 | 57 | 60 | 60 | 60 | 60 | 58 | 60 | 67 | 70 | 0 | 29 | 66 | 26 | 850,000$/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 | Thomas Bordeleau | C/LW | 22 | 5 | 13 | 18 | 7 | 4 | 0 | 22 | 77 | 28 | 57 | 6.49% | 5 | 19.03 | 3 | 2 | 5 | 74 | 0 | 0 | 0 | 4 | 1 | 1 | 61.05% | 95 | 0 | 0 | 0 | 0 | 0.86 | 1 | 1 | ||
| 2 | Zach Aston-Reese | LW/RW | 22 | 4 | 13 | 17 | -6 | 12 | 0 | 71 | 68 | 20 | 44 | 5.88% | 8 | 19.90 | 2 | 1 | 3 | 70 | 0 | 0 | 0 | 38 | 0 | 0 | 38.78% | 49 | 0 | 0 | 0 | 0 | 0.78 | 1 | 1 | ||
| 3 | Noah Juulsen | D | 22 | 3 | 13 | 16 | 2 | 20 | 0 | 70 | 45 | 11 | 30 | 6.67% | 47 | 22.80 | 0 | 2 | 2 | 65 | 0 | 0 | 0 | 52 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
| 4 | Josh Brown | D | 22 | 1 | 13 | 14 | -7 | 20 | 0 | 74 | 44 | 19 | 34 | 2.27% | 38 | 24.41 | 0 | 2 | 2 | 75 | 0 | 1 | 1 | 59 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
| 5 | Phillip Di Giuseppe | RW | 22 | 7 | 5 | 12 | 2 | 16 | 0 | 54 | 78 | 20 | 45 | 8.97% | 11 | 21.19 | 2 | 1 | 3 | 66 | 0 | 0 | 0 | 65 | 2 | 0 | 46.88% | 32 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
| 6 | Antonio Stranges | C/LW | 22 | 3 | 8 | 11 | 0 | 6 | 0 | 11 | 48 | 17 | 38 | 6.25% | 4 | 15.46 | 1 | 2 | 3 | 66 | 0 | 0 | 0 | 30 | 1 | 0 | 51.72% | 58 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | ||
| 7 | Akil Thomas | C | 22 | 5 | 4 | 9 | 2 | 9 | 5 | 26 | 42 | 10 | 17 | 11.90% | 2 | 10.72 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 4 | 0 | 0 | 52.67% | 281 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | ||
| 8 | Donovan Sebrango | D | 22 | 4 | 5 | 9 | 6 | 21 | 5 | 64 | 15 | 3 | 7 | 26.67% | 19 | 14.85 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 12 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
| 9 | Spencer Stastney | D | 22 | 3 | 6 | 9 | 3 | 0 | 0 | 3 | 33 | 14 | 22 | 9.09% | 31 | 22.01 | 2 | 3 | 5 | 67 | 0 | 1 | 1 | 63 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
| 10 | Max Sasson | C | 22 | 3 | 5 | 8 | 4 | 0 | 0 | 7 | 24 | 12 | 18 | 12.50% | 2 | 10.75 | 0 | 2 | 2 | 62 | 0 | 0 | 0 | 0 | 2 | 1 | 53.50% | 286 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | ||
| 11 | Justin Dowling | C/LW/RW | 22 | 3 | 4 | 7 | 0 | 2 | 0 | 14 | 27 | 8 | 15 | 11.11% | 1 | 14.77 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 29 | 0 | 0 | 68.57% | 35 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
| 12 | Ethen Frank | C | 22 | 3 | 4 | 7 | -8 | 6 | 0 | 5 | 43 | 7 | 22 | 6.98% | 6 | 15.32 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 4 | 1 | 0 | 51.01% | 398 | 0 | 0 | 0 | 0 | 0.42 | 1 | 1 | ||
| 13 | Uvis Balinskis | D | 22 | 3 | 3 | 6 | 0 | 4 | 0 | 3 | 21 | 7 | 6 | 14.29% | 19 | 20.17 | 0 | 1 | 1 | 73 | 0 | 0 | 0 | 8 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | ||
| 14 | Nikita Chibrikov | LW/RW | 22 | 2 | 4 | 6 | 4 | 8 | 0 | 19 | 30 | 9 | 25 | 6.67% | 3 | 10.94 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 1 | 0 | 30.77% | 13 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
| 15 | Nikita Prishchepov | C/LW | 22 | 2 | 4 | 6 | 3 | 8 | 0 | 36 | 23 | 3 | 18 | 8.70% | 1 | 7.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 33.33% | 12 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | ||
| 16 | Ryan Greene | C/RW | 19 | 2 | 2 | 4 | -4 | 2 | 0 | 21 | 42 | 8 | 27 | 4.76% | 3 | 15.70 | 0 | 0 | 0 | 27 | 0 | 0 | 0 | 40 | 0 | 0 | 53.10% | 113 | 0 | 0 | 0 | 0 | 0.27 | 0 | 1 | ||
| 17 | Leo Loof | D | 22 | 0 | 2 | 2 | 6 | 0 | 0 | 7 | 5 | 2 | 0 | 0.00% | 26 | 16.44 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 50 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | ||
| 18 | Vitali Kravtsov | LW/RW | 5 | 0 | 1 | 1 | 1 | 2 | 0 | 2 | 3 | 2 | 1 | 0.00% | 0 | 7.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
| 19 | Dylan Roobroeck | C/LW/RW | 14 | 0 | 0 | 0 | -4 | 4 | 0 | 9 | 12 | 2 | 4 | 0.00% | 1 | 7.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 8 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 390 | 53 | 109 | 162 | 11 | 144 | 10 | 518 | 680 | 202 | 430 | 7.79% | 227 | 16.17 | 10 | 16 | 26 | 677 | 0 | 2 | 2 | 466 | 10 | 5 | 52.28% | 1381 | 0 | 0 | 0 | 0 | 0.51 | 3 | 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 | 6 | 6 | 0 | 0 | 0.932 | 1.95 | 369 | 0 | 1 | 12 | 177 | 0 | 0 | 0 | 0.500 | 2 | 6 | 1 | 1 | 0 | 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 | |
| 3 | Jakub Dobes | 10 | 4 | 5 | 1 | 0.923 | 2.69 | 603 | 2 | 0 | 27 | 351 | 0 | 1 | 0 | 0.000 | 0 | 10 | 12 | 1 | 0 | 1 | |
| Team Total or Average | 22 | 14 | 7 | 1 | 0.925 | 2.47 | 1336 | 2 | 1 | 55 | 729 | 0 | 2 | 0 | 0.500 | 2 | 22 | 22 | 3 | 0 | 1 |
| 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 | 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 | |||||
| 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 | |||||
| Ethen Frank | C | 27 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | UFA | ||||
| Jakub Dobes | G | 24 | 965,000$ | 965,000$ | 965,000$ | ||||||
| Jakub Rychlovsky | LW | 24 | 870,000$ | 870,000$ | |||||||
| Jaxsen Wiebe | C | 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 | |||||
| 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 | 25 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
| Mitchell Gibson | G | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Nate Danielson | C | 21 | 886,666$ | 886,666$ | 886,666$ | 886,666$ | RFA | ||||
| 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 | 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 | 25 | 850,000$ | 850,000$ | |||||||
| Stephen Halliday | C | 23 | 950,000$ | 950,000$ | RFA | ||||||
| Thomas Bordeleau | C/LW | 23 | 950,000$ | 950,000$ | RFA | ||||||
| Ty Glover | C | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Uvis Balinskis | D | 29 | 850,000$ | 850,000$ | UFA | ||||||
| Vitali Kravtsov | LW/RW | 25 | 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 | 26 | 14 | 21 | 6 | 27 | 233 | 211 | 266 | 17 | 48 | 14 | 6 | 22 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 421 | 748 | 56.28% | 441 | 820 | 53.78% | 186 | 348 | 53.45% | 518 | 349 | 522 | 172 | 296 | 148 | 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 | 3 | 5 | 0 | 0 | 26 | 14 | 21 | 6 | 30 | 233 | 211 | 266 | 17 | 40 | 11 | 17 | 21 | 6 | 2 | 33.33% | 6 | 2 | 66.67% | 0 | 421 | 748 | 56.28% | 441 | 820 | 53.78% | 186 | 348 | 53.45% | 518 | 349 | 522 | 172 | 296 | 148 | 0.0% | 6.7% | 90.0% | 96.7 | Unlucky | |
| 3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 26 | 14 | 21 | 6 | 35 | 233 | 211 | 266 | 17 | 32 | 10 | 6 | 23 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 421 | 748 | 56.28% | 441 | 820 | 53.78% | 186 | 348 | 53.45% | 518 | 349 | 522 | 172 | 296 | 148 | 60.0% | 8.6% | 93.8% | 102.3 | DULL | |
| 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 26 | 14 | 21 | 6 | 42 | 233 | 211 | 266 | 17 | 17 | 6 | 6 | 22 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 421 | 748 | 56.28% | 441 | 820 | 53.78% | 186 | 348 | 53.45% | 518 | 349 | 522 | 172 | 296 | 148 | 62.5% | 11.9% | 76.5% | 88.4 | FUN | |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 26 | 14 | 21 | 6 | 28 | 233 | 211 | 266 | 17 | 36 | 8 | 6 | 30 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 421 | 748 | 56.28% | 441 | 820 | 53.78% | 186 | 348 | 53.45% | 518 | 349 | 522 | 172 | 296 | 148 | 57.1% | 14.3% | 91.7% | 106.0 | LUCKY | |
| 6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 8 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 26 | 14 | 21 | 6 | 67 | 233 | 211 | 266 | 17 | 41 | 20 | 6 | 38 | 11 | 1 | 9.09% | 3 | 1 | 66.67% | 0 | 421 | 748 | 56.28% | 441 | 820 | 53.78% | 186 | 348 | 53.45% | 518 | 349 | 522 | 172 | 296 | 148 | 90.0% | 14.9% | 95.1% | 110.0 | LUCKY | |
| 7 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 26 | 14 | 21 | 6 | 70 | 233 | 211 | 266 | 17 | 62 | 24 | 20 | 56 | 7 | 3 | 42.86% | 10 | 1 | 90.00% | 0 | 421 | 748 | 56.28% | 441 | 820 | 53.78% | 186 | 348 | 53.45% | 518 | 349 | 522 | 172 | 296 | 148 | 62.5% | 11.4% | 93.5% | 105.0 | LUCKY | |
| 8 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 14 | 21 | 0 | 1 | 26 | 14 | 21 | 6 | 72 | 233 | 211 | 266 | 17 | 80 | 14 | 20 | 47 | 7 | 1 | 14.29% | 8 | 0 | 100.00% | 0 | 421 | 748 | 56.28% | 441 | 820 | 53.78% | 186 | 348 | 53.45% | 518 | 349 | 522 | 172 | 296 | 148 | 75.0% | 9.7% | 97.5% | 107.2 | LUCKY | |
| 9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 26 | 14 | 21 | 6 | 67 | 233 | 211 | 266 | 17 | 77 | 14 | 14 | 40 | 9 | 2 | 22.22% | 5 | 1 | 80.00% | 1 | 421 | 748 | 56.28% | 441 | 820 | 53.78% | 186 | 348 | 53.45% | 518 | 349 | 522 | 172 | 296 | 148 | 33.3% | 7.5% | 90.9% | 98.4 | Unlucky | |
| 10 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 6 | 2 | 5 | 0.833 | 8 | 15 | 23 | 0 | 0 | 26 | 14 | 21 | 6 | 105 | 233 | 211 | 266 | 17 | 95 | 40 | 16 | 86 | 10 | 1 | 10.00% | 8 | 0 | 100.00% | 0 | 421 | 748 | 56.28% | 441 | 820 | 53.78% | 186 | 348 | 53.45% | 518 | 349 | 522 | 172 | 296 | 148 | 53.8% | 7.6% | 93.7% | 101.3 | DULL | |
| 11 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 26 | 14 | 21 | 6 | 28 | 233 | 211 | 266 | 17 | 27 | 12 | 10 | 21 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 421 | 748 | 56.28% | 441 | 820 | 53.78% | 186 | 348 | 53.45% | 518 | 349 | 522 | 172 | 296 | 148 | 75.0% | 10.7% | 92.6% | 103.3 | LUCKY | |
| 12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 26 | 14 | 21 | 6 | 28 | 233 | 211 | 266 | 17 | 44 | 13 | 11 | 31 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 421 | 748 | 56.28% | 441 | 820 | 53.78% | 186 | 348 | 53.45% | 518 | 349 | 522 | 172 | 296 | 148 | 0.0% | 0.0% | 93.2% | 93.2 | DULL | |
| 13 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 26 | 14 | 21 | 6 | 80 | 233 | 211 | 266 | 17 | 98 | 36 | 18 | 64 | 7 | 1 | 14.29% | 9 | 1 | 88.89% | 0 | 421 | 748 | 56.28% | 441 | 820 | 53.78% | 186 | 348 | 53.45% | 518 | 349 | 522 | 172 | 296 | 148 | 40.0% | 8.8% | 89.8% | 98.5 | Unlucky | |
| 14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 26 | 14 | 21 | 6 | 45 | 233 | 211 | 266 | 17 | 32 | 13 | 4 | 21 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 421 | 748 | 56.28% | 441 | 820 | 53.78% | 186 | 348 | 53.45% | 518 | 349 | 522 | 172 | 296 | 148 | 20.0% | 4.4% | 87.5% | 91.9 | Unlucky | |
| _Vs Division | 11 | 7 | 5 | 0 | 1 | 1 | 0 | 0 | 33 | 29 | 4 | 17 | 0.773 | 33 | 60 | 93 | 0 | 0 | 26 | 14 | 21 | 6 | 356 | 233 | 211 | 266 | 17 | 358 | 121 | 68 | 241 | 42 | 8 | 19.05% | 32 | 4 | 87.50% | 1 | 421 | 748 | 56.28% | 441 | 820 | 53.78% | 186 | 348 | 53.45% | 518 | 349 | 522 | 172 | 296 | 148 | 50.0% | 9.3% | 91.9% | 101.2 | LUCKY | |
| _Vs Conference | 16 | 7 | 5 | 0 | 2 | 1 | 1 | 0 | 47 | 39 | 8 | 21 | 0.656 | 47 | 84 | 131 | 0 | 0 | 26 | 14 | 21 | 6 | 524 | 233 | 211 | 266 | 17 | 512 | 183 | 100 | 371 | 57 | 9 | 15.79% | 47 | 5 | 89.36% | 1 | 421 | 748 | 56.28% | 441 | 820 | 53.78% | 186 | 348 | 53.45% | 518 | 349 | 522 | 172 | 296 | 148 | 52.8% | 9.0% | 92.4% | 101.4 | LUCKY | |
| _Since Last GM Reset | 22 | 10 | 7 | 0 | 3 | 1 | 1 | 0 | 65 | 55 | 10 | 29 | 0.659 | 65 | 118 | 183 | 0 | 1 | 26 | 14 | 21 | 6 | 724 | 233 | 211 | 266 | 17 | 729 | 235 | 160 | 522 | 83 | 12 | 14.46% | 70 | 9 | 87.14% | 1 | 421 | 748 | 56.28% | 441 | 820 | 53.78% | 186 | 348 | 53.45% | 518 | 349 | 522 | 172 | 296 | 148 | 53.5% | 9.0% | 92.5% | 101.4 | LUCKY | |
| Total | 22 | 10 | 7 | 0 | 3 | 1 | 1 | 0 | 65 | 55 | 10 | 29 | 0.659 | 65 | 118 | 183 | 0 | 1 | 26 | 14 | 21 | 6 | 724 | 233 | 211 | 266 | 17 | 729 | 235 | 160 | 522 | 83 | 12 | 14.46% | 70 | 9 | 87.14% | 1 | 421 | 748 | 56.28% | 441 | 820 | 53.78% | 186 | 348 | 53.45% | 518 | 349 | 522 | 172 | 296 | 148 | 53.5% | 9.0% | 92.5% | 101.4 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 748 |
| Neutral Zone Start | 348 |
| Defensive Zone Start | 820 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1048 |
| Faceoffs Lost | 868 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.6 | 9.57 |
| 2nd Period | 20.2 | 20.31 |
| 3rd Period | 32.3 | 30.68 |
| Overtime | 33.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.2 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.8 | 2.67 |
| Overtime | 3.0 | 2.83 |
| Even Strenght Goal | 52 |
|---|---|
| PP Goal | 12 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 7 | 7 |
| Lost | 3 | 4 |
| Overtime Lost | 1 | 0 |
| PP Attempt | 83 |
|---|---|
| PP Goal | 12 |
| PK Attempt | 70 |
| PK Goal Against | 9 |
| Home | |
|---|---|
| Shots For | 32.9 |
| Shots Against | 33.1 |
| Goals For | 3.0 |
| Goals Against | 2.5 |
| Hits | 23.7 |
| Shots Blocked | 10.7 |
| Pim | 7.3 |
| 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 | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,934,167$ | 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 |
| 25 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,934,167$ | 2,934,167$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 909,805$ | 16,301$ | 768,131$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 141 | 19,079$ | 2,461,191$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,461,191$ | 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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