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Full Scoreboard »» |
| San Diego Gulls 37-19-1, 75pts · 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ryan Greene (R) | 0 | C/RW | 99.00 | 62 | 32 | 92 | 65 | 70 | 82 | 90 | 60 | 81 | 65 | 62 | 71 | 61 | 62 | 61 | 0 | 76 | 74 | 22 | 950,000$/2yrs | |||
Phillip Di Giuseppe | 0 | LW/RW | 99.00 | 86 | 33 | 92 | 59 | 75 | 74 | 69 | 60 | 57 | 66 | 56 | 63 | 58 | 79 | 78 | 0 | 80 | 73 | 32 | 800,000$/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 | 79 | 72 | 32 | 850,000$/1yrs | |||
Zach Aston-Reese | 0 | LW/RW | 99.00 | 82 | 36 | 87 | 57 | 80 | 76 | 86 | 56 | 58 | 60 | 57 | 70 | 57 | 78 | 76 | 0 | 80 | 72 | 31 | 800,000$/2yrs | |||
Stephen Halliday (R) | 0 | C/LW | 99.00 | 68 | 41 | 77 | 63 | 85 | 68 | 87 | 63 | 62 | 66 | 58 | 61 | 62 | 59 | 57 | 0 | 38 | 72 | 23 | 950,000$/1yrs | |||
Ilya Protas (R) | 0 | C/LW | 100.00 | 63 | 40 | 86 | 66 | 93 | 68 | 71 | 62 | 57 | 62 | 65 | 57 | 64 | 52 | 51 | 0 | 56 | 72 | 19 | 856,667$/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 | 81 | 71 | 24 | 1,000,000$/2yrs | |||
Max Sasson | 0 | C/LW/RW | 99.00 | 60 | 32 | 90 | 61 | 72 | 72 | 89 | 59 | 74 | 55 | 70 | 59 | 64 | 67 | 66 | 0 | 80 | 71 | 25 | 800,000$/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 | 80 | 70 | 24 | 900,000$/2yrs | |||
Justin Dowling | 36 | C/LW/RW | 100.00 | 68 | 32 | 95 | 55 | 68 | 72 | 76 | 51 | 77 | 58 | 55 | 57 | 53 | 84 | 83 | 0 | 80 | 68 | 35 | 775,000$/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 | 80 | 68 | 23 | 875,833$/1yrs | |||
Akil Thomas (R) | 0 | C/LW/RW | 100.00 | 76 | 42 | 90 | 55 | 68 | 71 | 70 | 55 | 72 | 57 | 55 | 56 | 55 | 68 | 67 | 0 | 79 | 67 | 25 | 950,000$/1yrs | |||
Spencer Stastney | 0 | D | 99.00 | 56 | 32 | 91 | 58 | 72 | 80 | 90 | 55 | 30 | 64 | 54 | 66 | 55 | 68 | 67 | 0 | 80 | 72 | 26 | 850,000$/1yrs | |||
Uvis Balinskis | 0 | D | 100.00 | 71 | 33 | 78 | 56 | 76 | 79 | 86 | 56 | 30 | 62 | 59 | 62 | 58 | 74 | 72 | 0 | 80 | 72 | 29 | 850,000$/1yrs | |||
Noah Juulsen | 0 | D | 100.00 | 84 | 37 | 84 | 55 | 80 | 80 | 78 | 51 | 30 | 56 | 53 | 70 | 52 | 73 | 71 | 0 | 80 | 71 | 28 | 1,100,000$/3yrs | |||
Josh Brown | 0 | D | 99.00 | 91 | 44 | 50 | 49 | 90 | 64 | 80 | 48 | 30 | 54 | 50 | 71 | 52 | 73 | 68 | 0 | 82 | 68 | 32 | 1,000,000$/2yrs | |||
David Spacek (R) | 0 | D | 100.00 | 63 | 38 | 86 | 55 | 69 | 64 | 90 | 52 | 30 | 61 | 52 | 62 | 56 | 57 | 56 | 0 | 37 | 68 | 23 | 862,500$/1yrs | |||
Donovan Sebrango (R) | 0 | D | 100.00 | 87 | 42 | 50 | 51 | 77 | 64 | 77 | 51 | 30 | 57 | 55 | 63 | 56 | 59 | 54 | 0 | 82 | 67 | 24 | 900,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
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$/2yrs | |||
Dylan Roobroeck (R) | 0 | C/LW/RW | 100.00 | 70 | 41 | 74 | 59 | 87 | 64 | 89 | 57 | 63 | 55 | 59 | 60 | 57 | 56 | 53 | 0 | 20 | 68 | 21 | 850,000$/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 | 20 | 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$/1yrs | |||
Nikita Prishchepov | 0 | C/LW | 100.00 | 73 | 40 | 69 | 59 | 77 | 64 | 80 | 57 | 65 | 58 | 55 | 60 | 57 | 56 | 53 | 0 | 42 | 67 | 22 | 806,667$/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$/2yrs | |||
Leo Loof (R) | 0 | D | 100.00 | 73 | 40 | 69 | 51 | 72 | 62 | 86 | 49 | 30 | 56 | 51 | 63 | 53 | 59 | 56 | 0 | 45 | 66 | 23 | 867,500$/1yrs | |||
Ty Murchison (R) | 0 | D | 100.00 | 89 | 43 | 50 | 49 | 77 | 62 | 72 | 48 | 30 | 54 | 52 | 62 | 53 | 57 | 52 | 0 | 20 | 65 | 23 | 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$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Connor Ingram | 0 | 100.00 | 60 | 72 | 71 | 80 | 72 | 71 | 74 | 80 | 78 | 82 | 74 | 73 | 77 | 0 | 80 | 78 | 28 | 2,000,000$/3yrs |
Mitchell Gibson | 0 | 99.00 | 73 | 76 | 70 | 70 | 78 | 74 | 74 | 73 | 74 | 74 | 74 | 64 | 66 | 0 | 60 | 77 | 26 | 800,000$/2yrs |
| Scratches | ||||||||||||||||||||
Spencer Martin | 30 | 100.00 | 67 | 69 | 68 | 78 | 69 | 77 | 70 | 67 | 77 | 74 | 71 | 72 | 72 | 0 | 20 | 76 | 30 | 950,000$/1yrs |
Matt Villalta | 0 | 100.00 | 70 | 78 | 68 | 78 | 68 | 75 | 71 | 70 | 75 | 74 | 72 | 65 | 66 | 0 | 20 | 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 | Zach Aston-Reese | LW/RW | 57 | 16 | 31 | 47 | 3 | 26 | 0 | 157 | 183 | 56 | 137 | 8.74% | 21 | 21.14 | 5 | 5 | 10 | 165 | 0 | 1 | 1 | 155 | 5 | 2 | 41.41% | 128 | 0 | 0 | 0 | 0 | 0.78 | 1 | 1 | ||
| 2 | Phillip Di Giuseppe | LW/RW | 57 | 22 | 16 | 38 | 13 | 32 | 0 | 145 | 188 | 51 | 124 | 11.70% | 17 | 20.84 | 4 | 1 | 5 | 172 | 0 | 1 | 1 | 134 | 4 | 4 | 54.76% | 84 | 0 | 0 | 0 | 0 | 0.64 | 1 | 1 | ||
| 3 | Noah Juulsen | D | 57 | 5 | 32 | 37 | 17 | 34 | 0 | 150 | 101 | 30 | 70 | 4.95% | 121 | 22.48 | 0 | 5 | 5 | 157 | 0 | 0 | 0 | 167 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
| 4 | Ryan Greene | C/RW | 54 | 11 | 22 | 33 | 12 | 4 | 0 | 40 | 160 | 35 | 120 | 6.88% | 11 | 18.58 | 0 | 4 | 4 | 116 | 1 | 0 | 1 | 154 | 0 | 1 | 56.80% | 1111 | 0 | 0 | 0 | 0 | 0.66 | 1 | 3 | ||
| 5 | Spencer Stastney | D | 57 | 8 | 21 | 29 | 14 | 0 | 0 | 4 | 99 | 37 | 58 | 8.08% | 61 | 23.42 | 5 | 6 | 11 | 173 | 0 | 1 | 1 | 176 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
| 6 | Colin Blackwell | C/LW/RW | 39 | 17 | 10 | 27 | 13 | 16 | 0 | 43 | 129 | 30 | 93 | 13.18% | 15 | 18.95 | 2 | 5 | 7 | 64 | 1 | 0 | 1 | 103 | 3 | 0 | 57.44% | 712 | 0 | 0 | 0 | 0 | 0.73 | 0 | 1 | ||
| 7 | Josh Brown | D | 57 | 5 | 21 | 26 | 3 | 99 | 5 | 187 | 96 | 39 | 66 | 5.21% | 74 | 23.69 | 2 | 2 | 4 | 180 | 0 | 2 | 2 | 136 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
| 8 | Antonio Stranges | C/LW | 57 | 10 | 16 | 26 | 3 | 10 | 0 | 25 | 120 | 28 | 102 | 8.33% | 7 | 13.05 | 1 | 3 | 4 | 101 | 1 | 0 | 1 | 48 | 3 | 0 | 48.31% | 89 | 0 | 0 | 0 | 0 | 0.70 | 1 | 1 | ||
| 9 | Max Sasson | C/LW/RW | 57 | 9 | 11 | 20 | 8 | 8 | 0 | 21 | 117 | 34 | 93 | 7.69% | 4 | 13.09 | 0 | 4 | 4 | 126 | 0 | 0 | 0 | 0 | 4 | 2 | 56.36% | 912 | 0 | 0 | 0 | 0 | 0.54 | 0 | 2 | ||
| 10 | Uvis Balinskis | D | 57 | 3 | 17 | 20 | 13 | 16 | 0 | 29 | 61 | 28 | 37 | 4.92% | 57 | 21.05 | 0 | 3 | 3 | 165 | 0 | 0 | 0 | 104 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
| 11 | Nikita Chibrikov | LW/RW | 57 | 8 | 12 | 20 | 4 | 22 | 0 | 57 | 94 | 28 | 76 | 8.51% | 5 | 11.04 | 0 | 1 | 1 | 35 | 0 | 0 | 0 | 0 | 3 | 0 | 39.02% | 41 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
| 12 | Donovan Sebrango | D | 57 | 5 | 11 | 16 | -10 | 87 | 15 | 161 | 37 | 7 | 21 | 13.51% | 53 | 14.73 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 35 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
| 13 | Justin Dowling | C/LW/RW | 57 | 5 | 10 | 15 | -6 | 10 | 0 | 32 | 54 | 16 | 53 | 9.26% | 7 | 12.52 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 53 | 1 | 0 | 63.51% | 370 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
| 14 | Stephen Halliday | C/LW | 23 | 3 | 11 | 14 | 2 | 10 | 0 | 24 | 76 | 17 | 47 | 3.95% | 7 | 16.68 | 1 | 1 | 2 | 63 | 0 | 0 | 0 | 0 | 0 | 0 | 68.42% | 38 | 0 | 0 | 0 | 0 | 0.73 | 1 | 2 | ||
| 15 | 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 | ||
| 16 | Akil Thomas | C/LW/RW | 57 | 6 | 6 | 12 | -2 | 25 | 5 | 62 | 81 | 21 | 39 | 7.41% | 4 | 9.34 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 6 | 0 | 0 | 52.72% | 588 | 0 | 0 | 0 | 0 | 0.45 | 0 | 1 | ||
| 17 | Ilya Protas | C/LW | 22 | 5 | 4 | 9 | -8 | 4 | 0 | 18 | 59 | 21 | 31 | 8.47% | 2 | 13.19 | 1 | 1 | 2 | 64 | 0 | 0 | 0 | 0 | 0 | 1 | 38.89% | 18 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
| 18 | Elmer Soderblom | C/LW/RW | 26 | 4 | 4 | 8 | -9 | 18 | 0 | 25 | 51 | 17 | 38 | 7.84% | 4 | 11.56 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 2 | 0 | 45.00% | 20 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
| 19 | 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 | ||
| 20 | David Spacek | D | 22 | 0 | 3 | 3 | -11 | 0 | 0 | 0 | 9 | 3 | 6 | 0.00% | 17 | 14.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | ||
| 21 | 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 | 960 | 148 | 269 | 417 | 62 | 441 | 25 | 1254 | 1800 | 518 | 1258 | 8.22% | 538 | 16.48 | 21 | 41 | 62 | 1622 | 4 | 5 | 9 | 1357 | 30 | 13 | 55.85% | 4152 | 0 | 0 | 0 | 0 | 0.53 | 5 | 12 |
| 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 | 33 | 25 | 7 | 0 | 0.919 | 2.40 | 1876 | 0 | 2 | 75 | 927 | 0 | 0 | 0 | 0.800 | 10 | 32 | 10 | 4 | 3 | 2 | |
| 2 | Mitchell Gibson | 10 | 4 | 4 | 0 | 0.913 | 2.76 | 565 | 0 | 0 | 26 | 298 | 0 | 1 | 0 | 0.000 | 0 | 8 | 26 | 1 | 0 | 0 | |
| Team Total or Average | 43 | 29 | 11 | 0 | 0.918 | 2.48 | 2442 | 0 | 2 | 101 | 1225 | 0 | 1 | 0 | 0.800 | 10 | 40 | 36 | 5 | 3 | 2 |
| 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 | 25 | 950,000$ | 950,000$ | |||||||
| Antonio Stranges | C/LW | 24 | 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 | 23 | 862,500$ | 862,500$ | RFA | ||||||
| Donovan Sebrango | D | 24 | 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 | 32 | 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 | 23 | 875,833$ | 875,833$ | RFA | ||||||
| Nikita Prishchepov | C/LW | 22 | 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 | 23 | 860,000$ | 860,000$ | 860,000$ | ||||||
| Uvis Balinskis | D | 29 | 850,000$ | 850,000$ | UFA | ||||||
| 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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 54 | 50 | 49 | 14 | 65 | 600 | 634 | 706 | 39 | 85 | 23 | 14 | 45 | 7 | 0 | 0.00% | 7 | 1 | 85.71% | 1 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 55.6% | 7.7% | 94.1% | 101.8 | DULL | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 54 | 50 | 49 | 14 | 45 | 600 | 634 | 706 | 39 | 36 | 12 | 6 | 27 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 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 | 54 | 50 | 49 | 14 | 30 | 600 | 634 | 706 | 39 | 40 | 11 | 17 | 21 | 6 | 2 | 33.33% | 6 | 2 | 66.67% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 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 | 54 | 50 | 49 | 14 | 33 | 600 | 634 | 706 | 39 | 40 | 8 | 10 | 21 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 1 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 75.0% | 9.1% | 95.0% | 104.1 | LUCKY | |
| 5 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 54 | 50 | 49 | 14 | 74 | 600 | 634 | 706 | 39 | 54 | 18 | 12 | 49 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 66.7% | 8.1% | 92.6% | 100.7 | DULL | |
| 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 54 | 50 | 49 | 14 | 28 | 600 | 634 | 706 | 39 | 34 | 18 | 10 | 24 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 33.3% | 7.1% | 85.3% | 92.4 | Unlucky | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 54 | 50 | 49 | 14 | 39 | 600 | 634 | 706 | 39 | 23 | 7 | 4 | 22 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 80.0% | 10.3% | 95.7% | 105.9 | LUCKY | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 54 | 50 | 49 | 14 | 42 | 600 | 634 | 706 | 39 | 17 | 6 | 6 | 22 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 62.5% | 11.9% | 76.5% | 88.4 | FUN | |
| 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 54 | 50 | 49 | 14 | 28 | 600 | 634 | 706 | 39 | 36 | 8 | 6 | 30 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 57.1% | 14.3% | 91.7% | 106.0 | LUCKY | |
| 10 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 8 | 14 | 0 | 0 | 54 | 50 | 49 | 14 | 56 | 600 | 634 | 706 | 39 | 69 | 10 | 22 | 45 | 6 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 54.5% | 10.7% | 91.3% | 102.0 | LUCKY | |
| 11 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 16 | 9 | 7 | 6 | 0.750 | 16 | 29 | 45 | 0 | 0 | 54 | 50 | 49 | 14 | 147 | 600 | 634 | 706 | 39 | 93 | 42 | 39 | 87 | 19 | 2 | 10.53% | 12 | 3 | 75.00% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 70.0% | 10.9% | 90.3% | 101.2 | FUN | |
| 12 | 5 | 3 | 0 | 0 | 2 | 0 | 0 | 0 | 18 | 9 | 9 | 10 | 1.000 | 18 | 31 | 49 | 0 | 0 | 54 | 50 | 49 | 14 | 177 | 600 | 634 | 706 | 39 | 139 | 44 | 50 | 103 | 15 | 4 | 26.67% | 24 | 2 | 91.67% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 66.7% | 10.2% | 93.5% | 103.7 | LUCKY | |
| 13 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 7 | 6 | 6 | 1.000 | 13 | 23 | 36 | 0 | 0 | 54 | 50 | 49 | 14 | 112 | 600 | 634 | 706 | 39 | 99 | 24 | 31 | 68 | 10 | 3 | 30.00% | 12 | 0 | 100.00% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 58.8% | 11.6% | 92.9% | 104.5 | LUCKY | |
| 14 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 6 | 6 | 6 | 1.000 | 12 | 23 | 35 | 0 | 1 | 54 | 50 | 49 | 14 | 117 | 600 | 634 | 706 | 39 | 107 | 20 | 28 | 71 | 11 | 1 | 9.09% | 10 | 1 | 90.00% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 68.8% | 10.3% | 94.4% | 104.6 | LUCKY | |
| 15 | 5 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 12 | 12 | 0 | 6 | 0.600 | 12 | 21 | 33 | 0 | 1 | 54 | 50 | 49 | 14 | 183 | 600 | 634 | 706 | 39 | 175 | 41 | 34 | 98 | 16 | 5 | 31.25% | 14 | 3 | 78.57% | 1 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 43.8% | 6.6% | 93.1% | 99.7 | DULL | |
| 16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 54 | 50 | 49 | 14 | 77 | 600 | 634 | 706 | 39 | 59 | 19 | 12 | 41 | 9 | 0 | 0.00% | 6 | 0 | 100.00% | 1 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 70.0% | 9.1% | 94.9% | 104.0 | LUCKY | |
| 17 | 5 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 10 | 2 | 7 | 0.700 | 12 | 23 | 35 | 0 | 0 | 54 | 50 | 49 | 14 | 167 | 600 | 634 | 706 | 39 | 149 | 57 | 32 | 124 | 21 | 1 | 4.76% | 15 | 1 | 93.33% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 55.0% | 7.2% | 93.3% | 100.5 | DULL | |
| 18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 54 | 50 | 49 | 14 | 25 | 600 | 634 | 706 | 39 | 38 | 20 | 14 | 21 | 1 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 25.0% | 4.0% | 92.1% | 96.1 | DULL | |
| 19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 54 | 50 | 49 | 14 | 41 | 600 | 634 | 706 | 39 | 36 | 12 | 8 | 19 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 50.0% | 4.9% | 97.2% | 102.1 | DULL | |
| 20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 54 | 50 | 49 | 14 | 22 | 600 | 634 | 706 | 39 | 36 | 17 | 11 | 13 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 14.3% | 4.5% | 83.3% | 87.9 | Unlucky | |
| 21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 54 | 50 | 49 | 14 | 23 | 600 | 634 | 706 | 39 | 28 | 10 | 10 | 33 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 0.0% | 0.0% | 85.7% | 85.7 | Unlucky | |
| 22 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 54 | 50 | 49 | 14 | 28 | 600 | 634 | 706 | 39 | 27 | 12 | 10 | 21 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 75.0% | 10.7% | 92.6% | 103.3 | LUCKY | |
| 23 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 54 | 50 | 49 | 14 | 42 | 600 | 634 | 706 | 39 | 20 | 5 | 4 | 16 | 6 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 66.7% | 4.8% | 95.0% | 99.8 | DULL | |
| 24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 54 | 50 | 49 | 14 | 28 | 600 | 634 | 706 | 39 | 44 | 13 | 11 | 31 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 0.0% | 0.0% | 93.2% | 93.2 | DULL | |
| 25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 54 | 50 | 49 | 14 | 39 | 600 | 634 | 706 | 39 | 27 | 6 | 2 | 20 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 66.7% | 7.7% | 96.3% | 104.0 | DULL | |
| 26 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 17 | -7 | 2 | 0.200 | 10 | 18 | 28 | 0 | 0 | 54 | 50 | 49 | 14 | 141 | 600 | 634 | 706 | 39 | 150 | 53 | 26 | 97 | 12 | 1 | 8.33% | 13 | 2 | 84.62% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 37.5% | 7.1% | 88.7% | 95.8 | Unlucky | |
| 27 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 0.667 | 10 | 17 | 27 | 0 | 0 | 54 | 50 | 49 | 14 | 129 | 600 | 634 | 706 | 39 | 97 | 27 | 22 | 82 | 8 | 2 | 25.00% | 11 | 1 | 90.91% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 53.3% | 7.8% | 91.8% | 99.5 | DULL | |
| 28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 54 | 50 | 49 | 14 | 27 | 600 | 634 | 706 | 39 | 24 | 5 | 10 | 26 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 33.3% | 11.1% | 79.2% | 90.3 | FUN | |
| _Vs Division | 25 | 14 | 10 | 0 | 3 | 1 | 1 | 0 | 74 | 65 | 9 | 37 | 0.740 | 74 | 131 | 205 | 0 | 1 | 54 | 50 | 49 | 14 | 869 | 600 | 634 | 706 | 39 | 763 | 235 | 195 | 538 | 80 | 15 | 18.75% | 86 | 13 | 84.88% | 2 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 53.2% | 8.5% | 91.5% | 100.0 | DULL | |
| _Vs Conference | 41 | 18 | 12 | 0 | 6 | 1 | 4 | 0 | 121 | 98 | 23 | 57 | 0.695 | 121 | 210 | 331 | 0 | 1 | 54 | 50 | 49 | 14 | 1422 | 600 | 634 | 706 | 39 | 1257 | 381 | 324 | 901 | 138 | 20 | 14.49% | 144 | 18 | 87.50% | 3 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 55.8% | 8.5% | 92.2% | 100.7 | DULL | |
| _Since Last GM Reset | 57 | 26 | 19 | 0 | 7 | 1 | 4 | 0 | 164 | 145 | 19 | 75 | 0.658 | 164 | 293 | 457 | 0 | 2 | 54 | 50 | 49 | 14 | 1965 | 600 | 634 | 706 | 39 | 1782 | 548 | 461 | 1277 | 196 | 24 | 12.24% | 200 | 26 | 87.00% | 4 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 54.1% | 8.3% | 91.9% | 100.2 | DULL | |
| Total | 57 | 26 | 19 | 0 | 7 | 1 | 4 | 0 | 164 | 145 | 19 | 75 | 0.658 | 164 | 293 | 457 | 0 | 2 | 54 | 50 | 49 | 14 | 1965 | 600 | 634 | 706 | 39 | 1782 | 548 | 461 | 1277 | 196 | 24 | 12.24% | 200 | 26 | 87.00% | 4 | 1158 | 2059 | 56.24% | 1138 | 2067 | 55.06% | 484 | 882 | 54.88% | 1378 | 930 | 1310 | 445 | 771 | 388 | 54.1% | 8.3% | 91.9% | 100.2 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 13 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2059 |
| Neutral Zone Start | 882 |
| Defensive Zone Start | 2067 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2780 |
| Faceoffs Lost | 2228 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.5 | 9.57 |
| 2nd Period | 21.6 | 20.31 |
| 3rd Period | 34.0 | 30.68 |
| Overtime | 34.7 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.9 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.7 | 2.67 |
| Overtime | 2.9 | 2.83 |
| Even Strenght Goal | 136 |
|---|---|
| PP Goal | 24 |
| PK Goal | 4 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 22 | 15 |
| Lost | 7 | 12 |
| Overtime Lost | 1 | 0 |
| PP Attempt | 196 |
|---|---|
| PP Goal | 24 |
| PK Attempt | 200 |
| PK Goal Against | 26 |
| Home | |
|---|---|
| Shots For | 34.5 |
| Shots Against | 31.3 |
| Goals For | 2.9 |
| Goals Against | 2.5 |
| Hits | 22.4 |
| Shots Blocked | 9.6 |
| 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 | |||||||||||
| 2026-01-13 | @ | Penguins1,Gulls3 | RECAP | |||||||||||
| 2026-01-16 | @ | Gulls2,Wolf Pack5 | RECAP | |||||||||||
| 2026-01-18 | @ | Stars1,Gulls2 (SO) | RECAP | |||||||||||
| 2026-01-21 | @ | Gulls1,Americans3 | RECAP | |||||||||||
| 2026-01-23 | @ | Reign2,Gulls3 | RECAP | |||||||||||
| 2026-01-28 | @ | Admirals3,Gulls6 | RECAP | |||||||||||
| 2026-01-31 | @ | Gulls0,Monsters4 | RECAP | |||||||||||
| 2026-02-02 | @ | Silver Knights1,Gulls4 | RECAP | |||||||||||
| 2026-02-03 | @ | Gulls4,Wild3 (SO) | RECAP | |||||||||||
| 2026-02-06 | @ | Eagles2,Gulls3 (OT) | RECAP | |||||||||||
| 2026-02-09 | @ | Gulls4,Wranglers3 | RECAP | |||||||||||
| 2026-02-11 | @ | Gulls3,Canucks2 | RECAP | |||||||||||
| 2026-02-12 | @ | Crunch4,Gulls5 | RECAP | |||||||||||
| 2026-02-15 | @ | Gulls3,Reign2 (OT) | RECAP | |||||||||||
| 2026-02-17 | @ | Silver Knights3,Gulls4 (OT) | RECAP | |||||||||||
| 2026-02-18 | @ | Gulls1,Checkers6 | RECAP | |||||||||||
| 2026-02-21 | @ | IceHogs1,Gulls2 | RECAP | |||||||||||
| 2026-02-24 | @ | Gulls2,Condors3 | RECAP | |||||||||||
| 2026-02-27 | @ | Barracuda4,Gulls2 | RECAP | |||||||||||
| 2026-03-03 | @ | |||||||||||||
| 2026-03-06 | @ | |||||||||||||
| 2026-03-07 | @ | |||||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-08 | @ | |||||||||||||
| 2026-03-11 | @ | |||||||||||||
| 2026-03-12 | @ | |||||||||||||
| 2026-03-13 | @ | |||||||||||||
| 2026-03-18 | @ | |||||||||||||
| 2026-03-19 | @ | |||||||||||||
| 2026-03-20 | @ | |||||||||||||
| 2026-03-21 | @ | |||||||||||||
| 2026-03-25 | @ | |||||||||||||
| 2026-03-27 | @ | |||||||||||||
| 2026-03-31 | @ | |||||||||||||
| 2026-04-01 | @ | |||||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,886,500$ | 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 |
| 6 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,886,500$ | 2,886,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,653,091$ | 16,036$ | 2,255,857$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 49 | 18,814$ | 696,118$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 696,118$ | 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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