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Full Scoreboard »» |
San Diego Gulls 51-12-7, 109pts · 1st 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 96.00 | 63 | 33 | 91 | 66 | 81 | 82 | 90 | 65 | 60 | 64 | 68 | 76 | 66 | 69 | 68 | 0 | 90 | 77 | 26 | 925,000$/1yrs | |||
![]() | 16 | LW/RW | 98.00 | 69 | 39 | 91 | 64 | 82 | 77 | 90 | 62 | 58 | 62 | 64 | 72 | 63 | 78 | 77 | 0 | 91 | 75 | 31 | 925,000$/1yrs | |||
![]() | 0 | C/RW | 99.00 | 68 | 32 | 91 | 61 | 71 | 80 | 79 | 62 | 61 | 58 | 67 | 75 | 64 | 78 | 77 | 0 | 91 | 75 | 32 | 850,000$/2yrs | |||
![]() | 0 | C/LW | 99.00 | 60 | 32 | 77 | 68 | 67 | 81 | 74 | 66 | 78 | 63 | 69 | 63 | 68 | 62 | 60 | 0 | 81 | 75 | 23 | 950,000$/2yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 68 | 35 | 86 | 63 | 99 | 75 | 68 | 65 | 58 | 60 | 70 | 60 | 68 | 63 | 62 | 0 | 91 | 74 | 23 | 878,333$/1yrs | |||
![]() | 0 | LW | 99.00 | 68 | 38 | 83 | 63 | 68 | 72 | 90 | 63 | 47 | 62 | 71 | 64 | 66 | 61 | 60 | 0 | 91 | 74 | 23 | 870,000$/2yrs | |||
![]() | 36 | C/LW/RW | 100.00 | 62 | 38 | 88 | 55 | 69 | 71 | 84 | 70 | 76 | 62 | 56 | 74 | 59 | 81 | 79 | 0 | 91 | 73 | 34 | 775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 99 | 49 | 50 | 53 | 84 | 68 | 84 | 68 | 45 | 53 | 60 | 72 | 56 | 77 | 72 | 0 | 91 | 72 | 32 | 775,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 64 | 60 | 57 | 92 | 77 | 81 | 61 | 59 | 65 | 59 | 57 | 60 | 86 | 82 | 0 | 43 | 72 | 36 | 1,000,000$/1yrs | |||
![]() | 71 | C/LW | 100.00 | 59 | 35 | 89 | 59 | 76 | 72 | 79 | 58 | 77 | 62 | 59 | 64 | 59 | 75 | 74 | 0 | 91 | 71 | 30 | 1,250,000$/1yrs | |||
![]() | 0 | C | 100.00 | 68 | 38 | 79 | 60 | 71 | 67 | 77 | 62 | 66 | 56 | 63 | 64 | 60 | 63 | 61 | 0 | 91 | 70 | 24 | 950,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 77 | 40 | 63 | 64 | 66 | 69 | 71 | 60 | 44 | 56 | 55 | 60 | 63 | 58 | 54 | 0 | 56 | 68 | 22 | 875,833$/2yrs | |||
![]() | 0 | D | 98.00 | 60 | 37 | 88 | 55 | 81 | 82 | 76 | 57 | 30 | 62 | 59 | 61 | 58 | 77 | 76 | 0 | 88 | 72 | 31 | 950,000$/1yrs | |||
![]() | 0 | D | 99.00 | 54 | 32 | 92 | 56 | 72 | 82 | 71 | 56 | 30 | 58 | 62 | 73 | 59 | 66 | 65 | 0 | 61 | 71 | 25 | 850,000$/2yrs | |||
![]() | 0 | D | 99.00 | 65 | 39 | 84 | 55 | 76 | 80 | 90 | 54 | 30 | 62 | 53 | 60 | 53 | 72 | 71 | 0 | 89 | 71 | 28 | 850,000$/2yrs | |||
![]() | 0 | D | 99.00 | 70 | 33 | 78 | 55 | 85 | 79 | 73 | 52 | 30 | 58 | 53 | 59 | 53 | 71 | 69 | 0 | 91 | 69 | 28 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 39 | 91 | 56 | 79 | 62 | 60 | 53 | 30 | 50 | 42 | 61 | 54 | 59 | 60 | 0 | 77 | 65 | 22 | 825,000$/1yrs | |||
![]() | 0 | D | 100.00 | 86 | 42 | 50 | 47 | 75 | 61 | 76 | 45 | 30 | 52 | 46 | 69 | 49 | 69 | 64 | 0 | 82 | 65 | 28 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 39 | 81 | 45 | 78 | 59 | 76 | 44 | 30 | 50 | 46 | 65 | 48 | 62 | 60 | 0 | 54 | 63 | 26 | 837,500$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 68 | 39 | 78 | 58 | 72 | 66 | 76 | 61 | 71 | 57 | 58 | 64 | 58 | 63 | 61 | 0 | 20 | 69 | 24 | 870,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 73 | 33 | 92 | 55 | 84 | 72 | 68 | 53 | 30 | 50 | 57 | 60 | 55 | 68 | 67 | 0 | 20 | 67 | 26 | 775,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 58 | 37 | 95 | 55 | 69 | 62 | 78 | 59 | 61 | 53 | 54 | 63 | 54 | 59 | 58 | 0 | 20 | 66 | 23 | 846,667$/1yrs | |||
![]() | 0 | C | 100.00 | 64 | 39 | 85 | 50 | 81 | 60 | 80 | 62 | 71 | 48 | 50 | 65 | 49 | 62 | 61 | 0 | 20 | 65 | 24 | 859,167$/1yrs | |||
![]() | 0 | C | 100.00 | 59 | 39 | 92 | 52 | 86 | 60 | 67 | 60 | 61 | 56 | 45 | 63 | 51 | 59 | 58 | 0 | 20 | 65 | 22 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 75 | 41 | 66 | 50 | 82 | 59 | 69 | 60 | 66 | 46 | 51 | 63 | 49 | 59 | 55 | 0 | 20 | 64 | 22 | 852,500$/2yrs | |||
![]() | 0 | C | 100.00 | 63 | 38 | 86 | 50 | 71 | 60 | 70 | 61 | 69 | 46 | 52 | 64 | 49 | 61 | 59 | 0 | 20 | 64 | 23 | 896,250$/1yrs | |||
![]() | 92 | D | 100.00 | 72 | 39 | 71 | 54 | 66 | 63 | 75 | 50 | 30 | 60 | 47 | 66 | 53 | 64 | 61 | 0 | 20 | 68 | 25 | 850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 41 | 62 | 44 | 77 | 59 | 78 | 44 | 30 | 49 | 47 | 63 | 48 | 59 | 55 | 0 | 19 | 62 | 23 | 828,333$/1yrs | |||
![]() | 0 | RWD | 100.00 | 86 | 44 | 50 | 44 | 96 | 59 | 69 | 42 | 30 | 46 | 48 | 65 | 47 | 62 | 57 | 0 | 20 | 62 | 25 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 38 | 88 | 44 | 69 | 58 | 76 | 44 | 30 | 49 | 47 | 62 | 48 | 57 | 56 | 0 | 20 | 61 | 22 | 862,500$/2yrs | |||
![]() | 0 | D | 100.00 | 64 | 39 | 84 | 44 | 72 | 57 | 75 | 43 | 30 | 49 | 45 | 63 | 47 | 59 | 57 | 0 | 20 | 61 | 22 | 867,500$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 96.00 | 82 | 83 | 76 | 75 | 86 | 76 | 87 | 89 | 85 | 90 | 87 | 68 | 72 | 0 | 90 | 86 | 25 | 962,500$/1yrs |
![]() | 0 | 100.00 | 71 | 69 | 69 | 82 | 82 | 72 | 82 | 85 | 81 | 88 | 82 | 62 | 63 | 0 | 86 | 81 | 23 | 925,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 30 | 100.00 | 68 | 76 | 73 | 79 | 68 | 67 | 71 | 78 | 74 | 77 | 71 | 73 | 77 | 0 | 20 | 77 | 29 | 950,000$/2yrs |
![]() | 0 | 100.00 | 73 | 76 | 70 | 70 | 78 | 74 | 74 | 73 | 74 | 74 | 74 | 64 | 66 | 0 | 20 | 77 | 25 | 775,000$/1yrs |
![]() | 0 | 100.00 | 75 | 61 | 65 | 70 | 55 | 60 | 60 | 75 | 60 | 74 | 60 | 66 | 69 | 0 | 20 | 70 | 25 | 800,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Joe Sacco | 66 | 73 | 65 | 64 | 79 | 74 | 70 | USA | 55 | 4 | 500,000$ |
General Manager |
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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 |
# | 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 | Drew O'Connor | LW/RW | 70 | 26 | 64 | 90 | 26 | 6 | 0 | 69 | 355 | 110 | 284 | 7.32% | 36 | 21.15 | 6 | 17 | 23 | 216 | 1 | 0 | 1 | 41 | 5 | 2 | 46.32% | 190 | 0 | 0 | 0 | 0 | 1.22 | 0 | 4 | ||
2 | Thomas Bordeleau | C/LW | 69 | 30 | 54 | 84 | 32 | 20 | 0 | 102 | 287 | 80 | 188 | 10.45% | 8 | 19.36 | 9 | 10 | 19 | 181 | 0 | 0 | 0 | 7 | 4 | 2 | 56.73% | 1835 | 0 | 0 | 0 | 1 | 1.26 | 1 | 3 | ||
3 | Colin Blackwell | C/RW | 70 | 39 | 41 | 80 | 31 | 22 | 0 | 122 | 349 | 97 | 257 | 11.17% | 24 | 20.53 | 8 | 11 | 19 | 175 | 0 | 1 | 1 | 75 | 11 | 0 | 51.50% | 499 | 0 | 0 | 0 | 2 | 1.11 | 0 | 2 | ||
4 | Jimmy Vesey | LW/RW | 69 | 26 | 38 | 64 | 10 | 20 | 0 | 110 | 265 | 74 | 207 | 9.81% | 20 | 19.95 | 7 | 13 | 20 | 148 | 0 | 0 | 0 | 145 | 4 | 0 | 52.54% | 118 | 0 | 0 | 2 | 2 | 0.93 | 0 | 3 | ||
5 | Elmer Soderblom | C/LW/RW | 70 | 27 | 32 | 59 | 17 | 32 | 0 | 125 | 271 | 70 | 198 | 9.96% | 10 | 17.97 | 6 | 8 | 14 | 215 | 0 | 0 | 0 | 0 | 5 | 2 | 51.67% | 120 | 0 | 0 | 0 | 1 | 0.94 | 1 | 4 | ||
6 | Jakub Rychlovsky | LW | 70 | 28 | 22 | 50 | 7 | 26 | 0 | 110 | 269 | 72 | 184 | 10.41% | 12 | 15.19 | 8 | 11 | 19 | 191 | 0 | 0 | 0 | 87 | 6 | 1 | 39.80% | 98 | 0 | 0 | 0 | 0 | 0.94 | 0 | 3 | ||
7 | Justin Dowling | C/LW/RW | 70 | 13 | 34 | 47 | 14 | 17 | 5 | 56 | 220 | 60 | 185 | 5.91% | 29 | 18.43 | 1 | 4 | 5 | 38 | 1 | 0 | 1 | 175 | 2 | 2 | 57.81% | 1818 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | ||
8 | Ben Hutton | D | 67 | 11 | 26 | 37 | 9 | 33 | 5 | 100 | 88 | 28 | 53 | 12.50% | 69 | 24.19 | 3 | 10 | 13 | 190 | 0 | 0 | 0 | 137 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
9 | Uvis Balinskis | D | 70 | 6 | 23 | 29 | 27 | 54 | 10 | 101 | 62 | 18 | 46 | 9.68% | 60 | 21.52 | 2 | 3 | 5 | 150 | 0 | 1 | 1 | 91 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
10 | Spencer Stastney | D | 54 | 7 | 19 | 26 | 13 | 10 | 0 | 47 | 101 | 25 | 65 | 6.93% | 83 | 22.74 | 3 | 6 | 9 | 134 | 0 | 2 | 2 | 130 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
11 | Chris Tierney | C/LW | 70 | 5 | 19 | 24 | 2 | 8 | 0 | 30 | 107 | 26 | 76 | 4.67% | 10 | 11.27 | 0 | 0 | 0 | 18 | 0 | 0 | 0 | 41 | 1 | 0 | 60.71% | 990 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
12 | Haydn Fleury | D | 70 | 4 | 20 | 24 | 16 | 62 | 0 | 162 | 52 | 17 | 45 | 7.69% | 77 | 22.94 | 3 | 6 | 9 | 184 | 0 | 0 | 0 | 123 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
13 | Scott Sabourin | RW | 70 | 11 | 6 | 17 | 2 | 40 | 0 | 145 | 130 | 33 | 79 | 8.46% | 6 | 7.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 2 | 53.19% | 47 | 0 | 0 | 1 | 0 | 0.67 | 0 | 0 | ||
14 | Akil Thomas | C | 70 | 7 | 10 | 17 | 2 | 0 | 0 | 13 | 100 | 28 | 69 | 7.00% | 8 | 8.07 | 0 | 3 | 3 | 33 | 1 | 0 | 1 | 94 | 3 | 2 | 51.83% | 737 | 0 | 0 | 0 | 0 | 0.60 | 1 | 1 | ||
15 | Patrik Koch | D | 64 | 2 | 15 | 17 | 16 | 86 | 10 | 167 | 34 | 13 | 22 | 5.88% | 60 | 14.35 | 0 | 1 | 1 | 75 | 0 | 0 | 0 | 61 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
16 | Ole Bjorgvik-Holm | D | 61 | 2 | 6 | 8 | -3 | 4 | 0 | 23 | 32 | 14 | 26 | 6.25% | 46 | 15.72 | 1 | 1 | 2 | 76 | 0 | 0 | 0 | 72 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | ||
17 | Pat Maroon | LW/RW | 41 | 2 | 5 | 7 | 7 | 26 | 10 | 10 | 41 | 11 | 40 | 4.88% | 4 | 6.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 73.33% | 15 | 0 | 0 | 0 | 0 | 0.54 | 1 | 1 | ||
18 | Cole Krygier | D | 33 | 0 | 5 | 5 | 21 | 6 | 0 | 23 | 6 | 2 | 10 | 0.00% | 23 | 15.00 | 0 | 3 | 3 | 2 | 0 | 0 | 0 | 56 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | ||
19 | Nikita Chibrikov | LW/RW | 36 | 0 | 3 | 3 | -7 | 8 | 0 | 12 | 29 | 6 | 25 | 0.00% | 3 | 6.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47.06% | 17 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
20 | Nicolas Beaudin | D | 4 | 0 | 2 | 2 | 1 | 4 | 0 | 4 | 4 | 0 | 3 | 0.00% | 6 | 17.55 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | ||
21 | Donovan Sebrango | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 0 | 0 | 0 | 0.00% | 0 | 13.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
22 | Max Sasson | C | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1211 | 246 | 444 | 690 | 242 | 484 | 40 | 1534 | 2802 | 784 | 2062 | 8.78% | 594 | 16.53 | 57 | 107 | 164 | 2042 | 3 | 4 | 7 | 1356 | 47 | 13 | 55.94% | 6484 | 0 | 0 | 3 | 6 | 0.69 | 4 | 21 |
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 | Arvid Soderblom | 47 | 35 | 7 | 3 | 0.924 | 2.29 | 2731 | 6 | 2 | 104 | 1373 | 0 | 0 | 0 | 0.833 | 6 | 44 | 17 | 3 | 2 | 2 | |
2 | Jakub Dobes | 26 | 15 | 3 | 3 | 0.888 | 2.95 | 1364 | 2 | 2 | 67 | 600 | 0 | 2 | 0 | 0.667 | 6 | 24 | 45 | 2 | 1 | 0 | |
3 | Spencer Martin | 3 | 1 | 2 | 0 | 0.816 | 5.00 | 108 | 0 | 0 | 9 | 49 | 0 | 0 | 0 | 0.875 | 8 | 2 | 5 | 0 | 0 | 0 | |
4 | Matt Villalta | 1 | 0 | 0 | 1 | 0.905 | 3.53 | 34 | 0 | 0 | 2 | 21 | 0 | 0 | 0 | 0.000 | 0 | 0 | 2 | 0 | 0 | 0 | |
Team Total or Average | 77 | 51 | 12 | 7 | 0.911 | 2.58 | 4238 | 8 | 4 | 182 | 2043 | 0 | 2 | 0 | 0.800 | 20 | 70 | 69 | 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 | 24 | 950,000$ | 950,000$ | 950,000$ | ||||||
Antonio Stranges | C/LW | 23 | 846,667$ | 846,667$ | RFA | ||||||
Antti Saarela | C | 23 | 896,250$ | 896,250$ | RFA | ||||||
Arvid Soderblom | G | 25 | 962,500$ | 962,500$ | |||||||
Ben Hutton | D | 31 | 950,000$ | 950,000$ | UFA | ||||||
Chris Tierney | C/LW | 30 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Cole Krygier | D | 26 | 837,500$ | 837,500$ | |||||||
Colin Blackwell | C/RW | 32 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
David Spacek | D | 22 | 862,500$ | 862,500$ | 862,500$ | RFA | |||||
Donovan Sebrango | D | 23 | 828,333$ | 828,333$ | RFA | ||||||
Drew O'Connor | LW/RW | 26 | 925,000$ | 925,000$ | |||||||
Elmer Soderblom | C/LW/RW | 23 | 878,333$ | 878,333$ | RFA | ||||||
Haydn Fleury | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Jakub Dobes | G | 23 | 925,000$ | 925,000$ | RFA | ||||||
Jakub Rychlovsky | LW | 23 | 870,000$ | 870,000$ | 870,000$ | ||||||
Jaxsen Wiebe | C | 22 | 852,500$ | 852,500$ | 852,500$ | RFA | |||||
Jimmy Vesey | LW/RW | 31 | 925,000$ | 925,000$ | UFA | ||||||
John Parker-Jones | RW/D | 25 | 775,000$ | 775,000$ | |||||||
Justin Dowling | C/LW/RW | 34 | 775,000$ | 775,000$ | UFA | ||||||
Leo Loof | D | 22 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Matt Villalta | G | 25 | 800,000$ | 800,000$ | |||||||
Max Sasson | C | 24 | 870,000$ | 870,000$ | |||||||
Mitchell Gibson | G | 25 | 775,000$ | 775,000$ | |||||||
Nicolas Beaudin | D | 25 | 850,000$ | 850,000$ | |||||||
Nikita Chibrikov | LW/RW | 22 | 875,833$ | 875,833$ | 875,833$ | RFA | |||||
Ole Bjorgvik-Holm | D | 22 | 825,000$ | 825,000$ | RFA | ||||||
Pat Maroon | LW/RW | 36 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Patrik Koch | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Scott Sabourin | RW | 32 | 775,000$ | 775,000$ | UFA | ||||||
Spencer Martin | G | 29 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Spencer Stastney | D | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
Stephen Halliday | C | 22 | 775,000$ | 775,000$ | RFA | ||||||
Thomas Bordeleau | C/LW | 23 | 950,000$ | 950,000$ | 950,000$ | ||||||
Ty Glover | C | 24 | 859,167$ | 859,167$ | |||||||
Uvis Balinskis | D | 28 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Waltteri Merela | RW | 26 | 775,000$ | 775,000$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 4 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 14 | 11 | 3 | 7 | 0.875 | 14 | 24 | 38 | 0 | 0 | 86 | 89 | 77 | 11 | 160 | 1014 | 954 | 940 | 66 | 143 | 42 | 31 | 84 | 14 | 5 | 35.71% | 12 | 1 | 91.67% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 47.4% | 8.8% | 92.3% | 101.1 | DULL | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 86 | 89 | 77 | 11 | 38 | 1014 | 954 | 940 | 66 | 31 | 4 | 2 | 23 | 6 | 2 | 33.33% | 0 | 0 | 0.00% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 75.0% | 13.2% | 96.8% | 109.9 | LUCKY | |
3 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 86 | 89 | 77 | 11 | 77 | 1014 | 954 | 940 | 66 | 49 | 13 | 10 | 36 | 8 | 3 | 37.50% | 5 | 0 | 100.00% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 16.7% | 5.2% | 89.8% | 95.0 | Unlucky | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 86 | 89 | 77 | 11 | 73 | 1014 | 954 | 940 | 66 | 57 | 13 | 10 | 43 | 8 | 1 | 12.50% | 5 | 1 | 80.00% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 62.5% | 8.2% | 93.0% | 101.2 | DULL | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 86 | 89 | 77 | 11 | 85 | 1014 | 954 | 940 | 66 | 54 | 20 | 14 | 49 | 10 | 2 | 20.00% | 5 | 2 | 60.00% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 33.3% | 4.7% | 88.9% | 93.6 | Unlucky | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 86 | 89 | 77 | 11 | 99 | 1014 | 954 | 940 | 66 | 59 | 17 | 8 | 35 | 5 | 2 | 40.00% | 4 | 1 | 75.00% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 58.3% | 9.1% | 89.8% | 98.9 | FUN | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 86 | 89 | 77 | 11 | 30 | 1014 | 954 | 940 | 66 | 36 | 8 | 4 | 30 | 2 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 25.0% | 3.3% | 86.1% | 89.4 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 86 | 89 | 77 | 11 | 48 | 1014 | 954 | 940 | 66 | 24 | 14 | 6 | 16 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 1 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 75.0% | 6.3% | 95.8% | 102.1 | DULL | |
9 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 86 | 89 | 77 | 11 | 48 | 1014 | 954 | 940 | 66 | 22 | 7 | 14 | 23 | 5 | 2 | 40.00% | 7 | 1 | 85.71% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 25.0% | 6.3% | 81.8% | 88.1 | Unlucky | |
10 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 14 | 1 | 6 | 0.750 | 15 | 29 | 44 | 0 | 0 | 86 | 89 | 77 | 11 | 170 | 1014 | 954 | 940 | 66 | 135 | 36 | 30 | 90 | 14 | 3 | 21.43% | 15 | 4 | 73.33% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 54.5% | 8.8% | 89.6% | 98.5 | Unlucky | |
11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 86 | 89 | 77 | 11 | 82 | 1014 | 954 | 940 | 66 | 52 | 23 | 6 | 45 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 63.6% | 8.5% | 90.4% | 98.9 | Unlucky | |
12 | 7 | 5 | 1 | 0 | 0 | 0 | 1 | 0 | 30 | 14 | 16 | 12 | 0.857 | 30 | 52 | 82 | 0 | 1 | 86 | 89 | 77 | 11 | 295 | 1014 | 954 | 940 | 66 | 177 | 63 | 43 | 166 | 22 | 4 | 18.18% | 19 | 2 | 89.47% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 68.4% | 10.2% | 92.1% | 102.3 | LUCKY | |
13 | 4 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 14 | 10 | 4 | 6 | 0.750 | 14 | 26 | 40 | 0 | 0 | 86 | 89 | 77 | 11 | 166 | 1014 | 954 | 940 | 66 | 125 | 40 | 37 | 85 | 12 | 3 | 25.00% | 8 | 0 | 100.00% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 52.4% | 8.4% | 92.0% | 100.4 | DULL | |
14 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 14 | 9 | 5 | 5 | 0.833 | 14 | 27 | 41 | 0 | 0 | 86 | 89 | 77 | 11 | 139 | 1014 | 954 | 940 | 66 | 80 | 29 | 21 | 64 | 9 | 2 | 22.22% | 7 | 2 | 71.43% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 63.2% | 10.1% | 88.8% | 98.8 | FUN | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 86 | 89 | 77 | 11 | 32 | 1014 | 954 | 940 | 66 | 34 | 8 | 23 | 33 | 6 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 50.0% | 9.4% | 88.2% | 97.6 | FUN | |
16 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 6 | 9 | 8 | 1.000 | 15 | 28 | 43 | 0 | 1 | 86 | 89 | 77 | 11 | 164 | 1014 | 954 | 940 | 66 | 125 | 27 | 24 | 78 | 14 | 3 | 21.43% | 12 | 2 | 83.33% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 75.0% | 9.1% | 95.2% | 104.3 | LUCKY | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 86 | 89 | 77 | 11 | 28 | 1014 | 954 | 940 | 66 | 23 | 9 | 2 | 18 | 4 | 1 | 25.00% | 1 | 1 | 0.00% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 25.0% | 7.1% | 82.6% | 89.8 | Unlucky | |
18 | 3 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 13 | 8 | 5 | 6 | 1.000 | 13 | 25 | 38 | 0 | 0 | 86 | 89 | 77 | 11 | 133 | 1014 | 954 | 940 | 66 | 80 | 21 | 25 | 78 | 11 | 1 | 9.09% | 8 | 1 | 87.50% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 63.2% | 9.8% | 90.0% | 99.8 | FUN | |
19 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 7 | 12 | 0 | 0 | 86 | 89 | 77 | 11 | 85 | 1014 | 954 | 940 | 66 | 67 | 16 | 6 | 44 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 38.5% | 5.9% | 88.1% | 93.9 | Unlucky | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 86 | 89 | 77 | 11 | 32 | 1014 | 954 | 940 | 66 | 21 | 4 | 4 | 28 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 100.0% | 6.3% | 100.0% | 106.3 | DULL | |
21 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 5 | 6 | 0.750 | 15 | 27 | 42 | 0 | 0 | 86 | 89 | 77 | 11 | 178 | 1014 | 954 | 940 | 66 | 106 | 39 | 39 | 88 | 17 | 4 | 23.53% | 16 | 3 | 81.25% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 61.1% | 8.4% | 90.6% | 99.0 | Unlucky | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 86 | 89 | 77 | 11 | 37 | 1014 | 954 | 940 | 66 | 23 | 5 | 6 | 17 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 75.0% | 10.8% | 91.3% | 102.1 | LUCKY | |
23 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 86 | 89 | 77 | 11 | 51 | 1014 | 954 | 940 | 66 | 23 | 7 | 4 | 27 | 8 | 1 | 12.50% | 2 | 0 | 100.00% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 50.0% | 9.8% | 82.6% | 92.4 | FUN | |
24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 1.000 | 11 | 20 | 31 | 0 | 0 | 86 | 89 | 77 | 11 | 96 | 1014 | 954 | 940 | 66 | 59 | 16 | 14 | 44 | 10 | 4 | 40.00% | 6 | 0 | 100.00% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 50.0% | 11.5% | 88.1% | 99.6 | FUN | |
25 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 86 | 89 | 77 | 11 | 62 | 1014 | 954 | 940 | 66 | 66 | 23 | 28 | 37 | 4 | 3 | 75.00% | 13 | 1 | 92.31% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 54.5% | 14.5% | 90.9% | 105.4 | FUN | |
26 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 86 | 89 | 77 | 11 | 36 | 1014 | 954 | 940 | 66 | 34 | 11 | 10 | 26 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 75.0% | 11.1% | 97.1% | 108.2 | LUCKY | |
27 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 86 | 89 | 77 | 11 | 39 | 1014 | 954 | 940 | 66 | 43 | 11 | 25 | 29 | 4 | 2 | 50.00% | 5 | 1 | 80.00% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 50.0% | 10.3% | 93.0% | 103.3 | LUCKY | |
28 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 9 | 4 | 6 | 0.750 | 13 | 23 | 36 | 0 | 1 | 86 | 89 | 77 | 11 | 193 | 1014 | 954 | 940 | 66 | 117 | 29 | 24 | 95 | 13 | 2 | 15.38% | 12 | 2 | 83.33% | 2 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 61.1% | 6.7% | 92.3% | 99.0 | DULL | |
29 | 4 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 20 | 10 | 10 | 8 | 1.000 | 20 | 32 | 52 | 0 | 0 | 86 | 89 | 77 | 11 | 195 | 1014 | 954 | 940 | 66 | 113 | 30 | 20 | 87 | 18 | 5 | 27.78% | 10 | 1 | 90.00% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 62.5% | 10.3% | 91.2% | 101.4 | LUCKY | |
30 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 86 | 89 | 77 | 11 | 82 | 1014 | 954 | 940 | 66 | 65 | 17 | 6 | 40 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 46.2% | 8.5% | 89.2% | 97.8 | Unlucky | |
_Vs Division | 29 | 20 | 2 | 0 | 3 | 3 | 2 | 0 | 113 | 67 | 46 | 53 | 0.914 | 113 | 197 | 310 | 0 | 3 | 86 | 89 | 77 | 11 | 1255 | 1014 | 954 | 940 | 66 | 865 | 248 | 185 | 635 | 96 | 23 | 23.96% | 76 | 8 | 89.47% | 2 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 60.4% | 9.0% | 92.3% | 101.3 | LUCKY | |
_Vs Conference | 49 | 33 | 5 | 0 | 4 | 4 | 2 | 1 | 195 | 124 | 71 | 83 | 0.847 | 195 | 348 | 543 | 0 | 3 | 86 | 89 | 77 | 11 | 2129 | 1014 | 954 | 940 | 66 | 1421 | 436 | 340 | 1075 | 166 | 41 | 24.70% | 138 | 19 | 86.23% | 2 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 59.5% | 9.2% | 91.3% | 100.4 | LUCKY | |
_Since Last GM Reset | 70 | 42 | 12 | 0 | 7 | 5 | 2 | 2 | 261 | 184 | 77 | 109 | 0.779 | 261 | 464 | 725 | 0 | 4 | 86 | 89 | 77 | 11 | 2953 | 1014 | 954 | 940 | 66 | 2043 | 602 | 496 | 1558 | 248 | 58 | 23.39% | 201 | 31 | 84.58% | 3 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 57.0% | 8.8% | 91.0% | 99.8 | Unlucky | |
Total | 70 | 42 | 12 | 0 | 7 | 5 | 2 | 2 | 261 | 184 | 77 | 109 | 0.779 | 261 | 464 | 725 | 0 | 4 | 86 | 89 | 77 | 11 | 2953 | 1014 | 954 | 940 | 66 | 2043 | 602 | 496 | 1558 | 248 | 58 | 23.39% | 201 | 31 | 84.58% | 3 | 1666 | 2982 | 55.87% | 1302 | 2305 | 56.49% | 678 | 1158 | 58.55% | 1754 | 1210 | 1548 | 526 | 937 | 473 | 57.0% | 8.8% | 91.0% | 99.8 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 13 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 2982 |
Neutral Zone Start | 1158 |
Defensive Zone Start | 2305 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 3646 |
Faceoffs Lost | 2799 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 14.5 | 9.57 |
2nd Period | 28.1 | 20.31 |
3rd Period | 41.5 | 30.68 |
Overtime | 42.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.6 | 2.67 |
Overtime | 3.8 | 2.83 |
Even Strenght Goal | 200 |
---|---|
PP Goal | 58 |
PK Goal | 3 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 27 | 24 |
Lost | 7 | 5 |
Overtime Lost | 1 | 6 |
PP Attempt | 248 |
---|---|
PP Goal | 58 |
PK Attempt | 201 |
PK Goal Against | 31 |
Home | |
---|---|
Shots For | 42.2 |
Shots Against | 29.2 |
Goals For | 3.7 |
Goals Against | 2.6 |
Hits | 22.3 |
Shots Blocked | 8.6 |
Pim | 7.1 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-07 | @ | Bears8,Gulls5 | RECAP | |||||||||||
2024-10-10 | @ | Gulls1,IceHogs6 | RECAP | |||||||||||
2024-10-12 | @ | Canucks2,Gulls3 (SO) | RECAP | |||||||||||
2024-10-13 | @ | Gulls3,Barracuda1 | RECAP | |||||||||||
2024-10-16 | @ | Gulls4,Condors1 | RECAP | |||||||||||
2024-10-18 | @ | Canucks0,Gulls3 | RECAP | |||||||||||
2024-10-23 | @ | Canucks1,Gulls6 | RECAP | |||||||||||
2024-10-27 | @ | Wranglers1,Gulls3 | RECAP | |||||||||||
2024-10-28 | @ | Gulls6,Wranglers5 (OT) | RECAP | |||||||||||
2024-10-31 | @ | Silver Knights2,Gulls4 | RECAP | |||||||||||
2024-11-02 | @ | Gulls4,Canucks1 | RECAP | |||||||||||
2024-11-03 | @ | Canucks1,Gulls6 | RECAP | |||||||||||
2024-11-06 | @ | Gulls6,Silver Knights1 | RECAP | |||||||||||
2024-11-08 | @ | Firebirds3,Gulls4 | RECAP | |||||||||||
2024-11-12 | @ | Gulls3,Rocket4 (SO) | RECAP | |||||||||||
2024-11-13 | @ | Wolves3,Gulls2 | RECAP | |||||||||||
2024-11-15 | @ | Gulls3,Firebirds4 (OT) | RECAP | |||||||||||
2024-11-17 | @ | Wolf Pack5,Gulls1 | RECAP | |||||||||||
2024-11-19 | @ | Gulls5,Islanders2 | RECAP | |||||||||||
2024-11-21 | @ | Gulls5,Bruins6 (OT) | RECAP | |||||||||||
2024-11-23 | @ | Moose3,Gulls5 | RECAP | |||||||||||
2024-11-25 | @ | Griffins1,Gulls3 | RECAP | |||||||||||
2024-11-26 | @ | Gulls3,Condors0 | RECAP | |||||||||||
2024-11-28 | @ | Canucks4,Gulls2 | RECAP | |||||||||||
2024-11-30 | @ | Gulls4,Roadrunners3 (OT) | RECAP | |||||||||||
2024-12-05 | @ | Gulls2,Thunderbirds4 | RECAP | |||||||||||
2024-12-07 | @ | Condors2,Gulls4 | RECAP | |||||||||||
2024-12-10 | @ | Gulls6,Canucks5 | RECAP | |||||||||||
2024-12-13 | @ | Gulls3,Comets2 (OT) | RECAP | |||||||||||
2024-12-14 | @ | Condors3,Gulls4 | RECAP | |||||||||||
2024-12-18 | @ | Gulls6,Moose4 | RECAP | |||||||||||
2024-12-21 | @ | Stars3,Gulls5 | RECAP | |||||||||||
2024-12-26 | @ | Bruins2,Gulls0 | RECAP | |||||||||||
2024-12-28 | @ | Comets3,Gulls1 | RECAP | |||||||||||
2024-12-29 | @ | Gulls5,Eagles4 | RECAP | |||||||||||
2025-01-02 | @ | Eagles2,Gulls4 | RECAP | |||||||||||
2025-01-04 | @ | Gulls2,Wolves3 | RECAP | |||||||||||
2025-01-06 | @ | Gulls1,Islanders2 | RECAP | |||||||||||
2025-01-08 | @ | Gulls4,Admirals5 (SO) | RECAP | |||||||||||
2025-01-09 | @ | Barracuda5,Gulls3 | RECAP | |||||||||||
2025-01-12 | @ | Gulls2,Reign3 (OT) | RECAP | |||||||||||
2025-01-13 | @ | Americans0,Gulls2 | RECAP | |||||||||||
2025-01-17 | @ | Gulls3,Crunch4 | RECAP | |||||||||||
2025-01-22 | @ | Wranglers2,Gulls3 | RECAP | |||||||||||
2025-01-24 | @ | Gulls5,Silver Knights4 (SO) | RECAP | |||||||||||
2025-01-25 | @ | Bears2,Gulls3 | RECAP | |||||||||||
2025-01-28 | @ | Wild3,Gulls4 | RECAP | |||||||||||
2025-01-29 | @ | Gulls3,Wild2 | RECAP | |||||||||||
2025-02-01 | @ | Gulls5,Monsters4 (OT) | RECAP | |||||||||||
2025-02-02 | @ | Gulls5,Roadrunners2 | RECAP | |||||||||||
2025-02-03 | @ | Reign3,Gulls2 (OT) | RECAP | |||||||||||
2025-02-06 | @ | Admirals3,Gulls6 | RECAP | |||||||||||
2025-02-09 | @ | Gulls5,Phantoms1 | RECAP | |||||||||||
2025-02-12 | @ | Gulls4,Bears2 | RECAP | |||||||||||
2025-02-13 | @ | Silver Knights3,Gulls5 | RECAP | |||||||||||
2025-02-15 | @ | Gulls4,Checkers2 | RECAP | |||||||||||
2025-02-17 | @ | Barracuda0,Gulls3 | RECAP | |||||||||||
2025-02-20 | @ | Gulls4,Barracuda3 | RECAP | |||||||||||
2025-02-22 | @ | Gulls2,Wranglers3 (OT) | RECAP | |||||||||||
2025-02-24 | @ | Admirals1,Gulls4 | RECAP | |||||||||||
2025-02-26 | @ | Gulls6,Reign2 | RECAP | |||||||||||
2025-02-28 | @ | Reign2,Gulls4 | RECAP | |||||||||||
2025-03-02 | @ | Gulls5,IceHogs1 | RECAP | |||||||||||
2025-03-03 | @ | Bears2,Gulls3 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | @ | Marlies1,Gulls4 | RECAP | |||||||||||
2025-03-13 | @ | Gulls4,Stars3 (OT) | RECAP | |||||||||||
2025-03-16 | @ | Penguins3,Gulls4 (OT) | RECAP | |||||||||||
2025-03-20 | @ | IceHogs2,Gulls3 | RECAP | |||||||||||
2025-03-22 | @ | Gulls6,IceHogs1 | RECAP | |||||||||||
2025-03-25 | @ | Roadrunners3,Gulls4 (OT) | RECAP | |||||||||||
2025-03-26 | @ | |||||||||||||
2025-04-04 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,050,708$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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![]() | 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 |
1 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,050,708$ | 3,050,708$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
3,535,503$ | 16,762$ | 3,065,734$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 25 | 19,509$ | 214,599$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
214,599$ | 0$ | 0$ | 0$ |
Sponsors | |||
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TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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