Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Cracknell (C) | 14 | C | 100.00 | 76 | 39 | 91 | 66 | 85 | 95 | 88 | 64 | 73 | 65 | 63 | 64 | 61 | 77 | 79 | 0 | 50 | 73 | 37 | 1,162,000$/1yrs | |||
Eeli Tolvanen (A) | 11 | RW | 100.00 | 77 | 34 | 82 | 71 | 70 | 83 | 87 | 68 | 56 | 69 | 70 | 66 | 73 | 63 | 66 | 0 | 50 | 73 | 23 | 2,005,000$/3yrs | |||
Gaetan Haas | 27 | C | 100.00 | 71 | 35 | 93 | 68 | 72 | 84 | 92 | 66 | 72 | 64 | 63 | 67 | 66 | 76 | 69 | 0 | 50 | 71 | 31 | 850,000$/1yrs | |||
Loui Eriksson | 28 | LW | 100.00 | 58 | 35 | 92 | 65 | 76 | 81 | 83 | 67 | 54 | 68 | 56 | 73 | 66 | 89 | 77 | 0 | 50 | 71 | 37 | 992,000$/1yrs | |||
Tobias Rieder | 23 | C/LW/RW | 100.00 | 58 | 35 | 94 | 73 | 69 | 78 | 85 | 66 | 60 | 64 | 63 | 76 | 66 | 75 | 68 | 0 | 50 | 71 | 30 | 1,172,000$/1yrs | |||
Andrew Ladd | 11 | LW | 100.00 | 71 | 39 | 73 | 61 | 84 | 83 | 76 | 62 | 57 | 61 | 64 | 66 | 63 | 89 | 77 | 0 | 50 | 70 | 37 | 3,153,000$/2yrs | |||
Cooper Marody | 18 | C | 100.00 | 62 | 39 | 88 | 65 | 73 | 85 | 79 | 66 | 70 | 67 | 62 | 63 | 64 | 66 | 68 | 0 | 50 | 69 | 26 | 1,097,000$/3yrs | |||
Kristian Vesalainen (R) | 91 | LW | 100.00 | 73 | 39 | 88 | 65 | 86 | 70 | 83 | 64 | 59 | 62 | 61 | 63 | 66 | 64 | 67 | 0 | 50 | 69 | 23 | 1,528,000$/1yrs | |||
Cal O'Reilly | 16 | C | 100.00 | 64 | 37 | 91 | 63 | 72 | 79 | 91 | 62 | 73 | 66 | 61 | 63 | 62 | 76 | 81 | 0 | 50 | 69 | 36 | 750,000$/1yrs | |||
Steven Fogarty | 39 | C | 100.00 | 69 | 39 | 80 | 62 | 83 | 82 | 83 | 61 | 72 | 63 | 60 | 65 | 61 | 69 | 71 | 0 | 50 | 69 | 29 | 758,333$/3yrs | |||
Rhett Gardner | 37 | C/LW | 100.00 | 78 | 43 | 86 | 59 | 85 | 77 | 86 | 60 | 74 | 58 | 60 | 61 | 59 | 66 | 68 | 0 | 50 | 68 | 27 | 843,750$/2yrs | |||
Brett Seney | 8 | LW | 100.00 | 69 | 38 | 88 | 63 | 60 | 83 | 84 | 62 | 65 | 61 | 58 | 64 | 62 | 66 | 68 | 0 | 50 | 67 | 27 | 818,500$/2yrs | |||
Rasmus Sandin (R) (A) | 38 | D | 100.00 | 73 | 34 | 91 | 74 | 68 | 86 | 77 | 72 | 30 | 74 | 65 | 66 | 54 | 63 | 65 | 0 | 50 | 73 | 23 | 1,231,389$/3yrs | |||
Ethan Prow | 4 | D | 100.00 | 59 | 36 | 92 | 67 | 69 | 78 | 87 | 65 | 30 | 64 | 66 | 63 | 55 | 70 | 72 | 0 | 50 | 69 | 30 | 867,000$/1yrs | |||
Jalen Chatfield | 21 | D | 100.00 | 68 | 39 | 77 | 64 | 74 | 82 | 85 | 65 | 30 | 66 | 58 | 62 | 50 | 66 | 68 | 0 | 50 | 69 | 26 | 790,000$/3yrs | |||
Brendan Guhle (R) | 8 | D | 100.00 | 77 | 35 | 83 | 64 | 80 | 82 | 71 | 63 | 30 | 61 | 56 | 62 | 51 | 65 | 67 | 0 | 50 | 68 | 25 | 901,000$/1yrs | |||
Brandon Davidson | 7 | D | 100.00 | 82 | 43 | 70 | 59 | 82 | 81 | 65 | 56 | 30 | 55 | 52 | 68 | 46 | 71 | 73 | 0 | 50 | 67 | 31 | 825,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Tom Kuhnhackl | 34 | LW/RW | 100.00 | 75 | 35 | 95 | 65 | 78 | 69 | 72 | 61 | 58 | 64 | 63 | 74 | 62 | 77 | 73 | 0 | 50 | 71 | 31 | 966,000$/1yrs | |||
Bobby McMann | 72 | LW | 100.00 | 69 | 38 | 92 | 60 | 79 | 88 | 84 | 59 | 56 | 54 | 63 | 60 | 61 | 66 | 68 | 0 | 50 | 67 | 26 | 775,000$/3yrs | |||
Marko Dano | 26 | LW | 100.00 | 67 | 46 | 79 | 66 | 73 | 77 | 72 | 63 | 57 | 60 | 59 | 62 | 65 | 73 | 67 | 0 | 50 | 67 | 28 | 950,000$/1yrs | |||
John Quenneville | 21 | C/LW/RW | 100.00 | 80 | 35 | 95 | 60 | 76 | 72 | 79 | 61 | 67 | 58 | 60 | 59 | 60 | 69 | 68 | 0 | 50 | 67 | 27 | 898,000$/1yrs | |||
Vladimir Tkachev | 54 | LW | 100.00 | 61 | 37 | 79 | 68 | 63 | 84 | 73 | 67 | 61 | 66 | 59 | 52 | 69 | 67 | 68 | 0 | 50 | 67 | 27 | 750,000$/1yrs | |||
Liam O'Brien | 8 | C | 100.00 | 90 | 72 | 55 | 59 | 80 | 73 | 76 | 58 | 70 | 56 | 57 | 55 | 59 | 67 | 68 | 0 | 50 | 66 | 28 | 769,000$/3yrs | |||
Graham Knott | 51 | LW | 100.00 | 74 | 39 | 90 | 58 | 83 | 73 | 89 | 57 | 60 | 56 | 58 | 59 | 57 | 65 | 67 | 0 | 50 | 66 | 26 | 750,000$/1yrs | |||
Kristian Reichel (R) | 88 | C | 100.00 | 62 | 37 | 80 | 56 | 68 | 83 | 73 | 57 | 67 | 58 | 59 | 62 | 59 | 64 | 66 | 0 | 50 | 64 | 24 | 750,000$/3yrs | |||
Josh Dickinson (R) | 25 | C | 100.00 | 69 | 39 | 77 | 55 | 78 | 75 | 76 | 54 | 61 | 55 | 56 | 58 | 53 | 65 | 67 | 0 | 50 | 64 | 25 | 750,000$/1yrs | |||
Kristians Rubins (R) | 9 | D | 100.00 | 85 | 74 | 59 | 54 | 95 | 76 | 73 | 55 | 30 | 57 | 56 | 59 | 50 | 65 | 67 | 0 | 50 | 66 | 25 | 795,000$/2yrs | |||
Ryan Stanton | 52 | D | 100.00 | 68 | 39 | 75 | 56 | 77 | 71 | 83 | 55 | 30 | 59 | 53 | 56 | 46 | 73 | 75 | 0 | 50 | 64 | 33 | 750,000$/1yrs | |||
Gianni Fairbrother (R) | 2 | D | 100.00 | 64 | 45 | 57 | 54 | 73 | 63 | 60 | 54 | 30 | 57 | 52 | 54 | 46 | 62 | 64 | 0 | 50 | 60 | 22 | 903,333$/3yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Landon Bow | 31 | 100.00 | 70 | 94 | 92 | 93 | 69 | 68 | 70 | 69 | 68 | 70 | 69 | 71 | 75 | 0 | 50 | 76 | 27 | 840,000$/1yrs |
Scratches | ||||||||||||||||||||
Stuart Skinner | 50 | 100.00 | 78 | 80 | 75 | 88 | 77 | 76 | 78 | 77 | 76 | 78 | 77 | 64 | 71 | 0 | 50 | 79 | 24 | 1,895,000$/5yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Haley Wickenheiser | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 44 | 5 | 0$ |
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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Eeli Tolvanen | Gulls (ANA) | RW | 74 | 50 | 46 | 96 | 20 | 58 | 0 | 175 | 351 | 107 | 293 | 14.25% | 15 | 21.92 | 10 | 10 | 20 | 1 | 0 | 1 | 23 | 4 | 2 | 40.15% | 0 | 1 | 1.30 | 2 | 5 | 1.38 | |||
2 | Rasmus Sandin | Gulls (ANA) | D | 82 | 25 | 69 | 94 | 26 | 38 | 0 | 136 | 207 | 60 | 143 | 12.08% | 154 | 24.39 | 12 | 18 | 30 | 0 | 1 | 1 | 216 | 5 | 2 | 0.00% | 0 | 0 | 1.15 | 0 | 0 | 1.14 | |||
3 | Cal O'Reilly | Gulls (ANA) | C | 82 | 27 | 43 | 70 | 28 | 24 | 0 | 92 | 234 | 54 | 141 | 11.54% | 11 | 18.97 | 5 | 12 | 17 | 2 | 0 | 2 | 161 | 1 | 3 | 53.59% | 0 | 0 | 0.85 | 0 | 0 | 0.92 | |||
4 | Tom Kuhnhackl | Gulls (ANA) | LW/RW | 74 | 20 | 47 | 67 | 22 | 28 | 0 | 89 | 253 | 67 | 161 | 7.91% | 24 | 19.01 | 6 | 12 | 18 | 0 | 2 | 2 | 156 | 6 | 0 | 43.80% | 0 | 0 | 0.91 | 0 | 2 | 0.99 | |||
5 | Loui Eriksson | Gulls (ANA) | LW | 82 | 22 | 44 | 66 | 18 | 12 | 0 | 50 | 282 | 78 | 203 | 7.80% | 21 | 17.06 | 2 | 9 | 11 | 0 | 0 | 0 | 76 | 5 | 0 | 41.58% | 0 | 0 | 0.80 | 2 | 4 | 0.93 | |||
6 | Gaetan Haas | Gulls (ANA) | C | 82 | 25 | 34 | 59 | -13 | 26 | 0 | 114 | 264 | 71 | 186 | 9.47% | 18 | 17.82 | 4 | 11 | 15 | 0 | 0 | 0 | 71 | 8 | 0 | 51.23% | 0 | 0 | 0.72 | 2 | 4 | 0.70 | |||
7 | Tobias Rieder | Gulls (ANA) | C/LW/RW | 51 | 24 | 32 | 56 | 16 | 6 | 0 | 32 | 265 | 72 | 207 | 9.06% | 22 | 19.97 | 4 | 10 | 14 | 1 | 0 | 1 | 122 | 1 | 1 | 47.67% | 0 | 1 | 1.10 | 0 | 0 | 1.36 | |||
8 | Adam Cracknell | Gulls (ANA) | C | 60 | 17 | 38 | 55 | 13 | 12 | 0 | 93 | 172 | 54 | 124 | 9.88% | 17 | 21.10 | 4 | 10 | 14 | 0 | 1 | 1 | 148 | 1 | 0 | 53.28% | 0 | 0 | 0.92 | 0 | 0 | 0.96 | |||
9 | Andrew Ladd | Gulls (ANA) | LW | 82 | 30 | 23 | 53 | 15 | 46 | 10 | 193 | 231 | 67 | 192 | 12.99% | 9 | 16.06 | 6 | 6 | 12 | 0 | 0 | 0 | 29 | 3 | 2 | 43.80% | 0 | 0 | 0.65 | 0 | 2 | 0.75 | |||
10 | Jalen Chatfield | Gulls (ANA) | D | 79 | 8 | 35 | 43 | 18 | 50 | 0 | 132 | 85 | 24 | 53 | 9.41% | 110 | 23.10 | 4 | 11 | 15 | 0 | 1 | 1 | 197 | 2 | 0 | 0.00% | 0 | 0 | 0.54 | 0 | 0 | 0.53 | |||
11 | Ethan Prow | Gulls (ANA) | D | 82 | 9 | 32 | 41 | 18 | 4 | 0 | 40 | 130 | 45 | 96 | 6.92% | 113 | 21.72 | 5 | 5 | 10 | 0 | 0 | 0 | 224 | 0 | 1 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.62 | |||
12 | Cooper Marody | Gulls (ANA) | C | 82 | 12 | 24 | 36 | 7 | 8 | 0 | 25 | 177 | 38 | 112 | 6.78% | 9 | 10.99 | 3 | 6 | 9 | 0 | 0 | 0 | 34 | 3 | 1 | 50.39% | 0 | 0 | 0.44 | 0 | 1 | 0.51 | |||
13 | Brandon Davidson | Gulls (ANA) | D | 82 | 7 | 28 | 35 | 12 | 36 | 0 | 124 | 77 | 22 | 49 | 9.09% | 86 | 16.04 | 1 | 0 | 1 | 0 | 1 | 1 | 78 | 1 | 0 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.42 | |||
14 | Brendan Guhle | Gulls (ANA) | D | 79 | 8 | 26 | 34 | 12 | 64 | 0 | 191 | 64 | 21 | 56 | 12.50% | 91 | 18.24 | 0 | 10 | 10 | 0 | 0 | 0 | 96 | 4 | 0 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.39 | |||
15 | Steven Fogarty | Gulls (ANA) | C | 77 | 11 | 12 | 23 | 19 | 14 | 0 | 59 | 113 | 33 | 71 | 9.73% | 12 | 9.19 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | 1 | 1 | 51.99% | 0 | 0 | 0.30 | 0 | 0 | 0.41 | |||
16 | Kristian Vesalainen | Gulls (ANA) | LW | 82 | 9 | 9 | 18 | 15 | 4 | 0 | 26 | 74 | 27 | 41 | 12.16% | 5 | 6.04 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 1 | 0 | 47.06% | 0 | 0 | 0.22 | 1 | 3 | 0.30 | |||
17 | Kristians Rubins | Gulls (ANA) | D | 74 | 0 | 17 | 17 | 13 | 109 | 5 | 174 | 29 | 15 | 39 | 0.00% | 59 | 15.86 | 0 | 1 | 1 | 0 | 0 | 0 | 97 | 0 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | 0.09 | |||
18 | Rhett Gardner | Gulls (ANA) | C/LW | 82 | 4 | 5 | 9 | 2 | 12 | 0 | 43 | 54 | 15 | 24 | 7.41% | 2 | 4.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 51.76% | 0 | 0 | 0.11 | 0 | 0 | 0.12 | |||
19 | John Quenneville | Gulls (ANA) | C/LW/RW | 18 | 3 | 6 | 9 | 5 | 8 | 0 | 17 | 26 | 3 | 15 | 11.54% | 3 | 11.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47.06% | 0 | 0 | 0.50 | 0 | 0 | 0.51 | |||
20 | Ryan Stanton | Gulls (ANA) | D | 6 | 1 | 1 | 2 | 4 | 0 | 0 | 3 | 2 | 1 | 0 | 50.00% | 8 | 14.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.56 | |||
21 | Brett Seney | Gulls (ANA) | LW | 9 | 0 | 1 | 1 | -1 | 2 | 0 | 2 | 6 | 3 | 6 | 0.00% | 0 | 2.81 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 100.00% | 0 | 0 | 0.11 | 0 | 0 | 0.08 | |||
22 | Bobby McMann | Gulls (ANA) | LW | 5 | 1 | 0 | 1 | -1 | 2 | 0 | 1 | 4 | 1 | 2 | 25.00% | 0 | 3.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.08 | |||
23 | Marko Dano | Gulls (ANA) | LW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
24 | Gianni Fairbrother | Gulls (ANA) | D | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 2 | 0 | 0 | 0.00% | 1 | 15.13 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.49 | |||
Team Total or Average | 1432 | 313 | 572 | 885 | 270 | 563 | 15 | 1814 | 3102 | 878 | 2214 | 10.09% | 790 | 16.36 | 67 | 131 | 198 | 2258 | 4 | 6 | 10 | 1796 | 46 | 14 | 51.77% | 7730 | 0 | 0 | 0 | 2 | 0.76 | 7 | 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 | Stuart Skinner | Gulls (ANA) | 67 | 44 | 17 | 3 | 0.909 | 3.18 | 3867 | 8 | 0 | 205 | 2264 | 0 | 4 | 1 | 0.913 | 23 | 67 | 14 | 6 | 2 | 4 |
2 | Landon Bow | Gulls (ANA) | 22 | 9 | 7 | 2 | 0.905 | 3.12 | 1096 | 0 | 0 | 57 | 597 | 0 | 2 | 1 | 0.000 | 0 | 15 | 67 | 1 | 0 | 0 |
Team Total or Average | 89 | 53 | 24 | 5 | 0.908 | 3.17 | 4964 | 8 | 0 | 262 | 2861 | 0 | 6 | 2 | 0.913 | 23 | 82 | 81 | 7 | 2 | 4 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Cracknell | C | 37 | 1,162,000$ | 1,162,000$ | UFA | ||||||
Andrew Ladd | LW | 37 | 3,153,000$ | 806,000$ | 5,500,000$ | UFA | |||||
Bobby McMann | LW | 26 | 775,000$ | 800,000$ | 762,500$ | 762,500$ | UFA | ||||
Brandon Davidson | D | 31 | 825,000$ | 825,000$ | UFA | ||||||
Brendan Guhle | D | 25 | 901,000$ | 901,000$ | RFA | ||||||
Brett Seney | LW | 27 | 818,500$ | 887,000$ | 750,000$ | UFA | |||||
Cal O'Reilly | C | 36 | 750,000$ | 750,000$ | UFA | ||||||
Cooper Marody | C | 26 | 1,097,000$ | 1,766,000$ | 762,500$ | 762,500$ | UFA | ||||
Eeli Tolvanen | RW | 23 | 2,005,000$ | 3,115,000$ | 1,450,000$ | 1,450,000$ | UFA | ||||
Ethan Prow | D | 30 | 867,000$ | 867,000$ | UFA | ||||||
Gaetan Haas | C | 31 | 850,000$ | 850,000$ | UFA | ||||||
Gianni Fairbrother | D | 22 | 903,333$ | 903,333$ | 903,333$ | 903,333$ | RFA | ||||
Graham Knott | LW | 26 | 750,000$ | 750,000$ | UFA | ||||||
Jalen Chatfield | D | 26 | 790,000$ | 845,000$ | 762,500$ | 762,500$ | UFA | ||||
John Quenneville | C/LW/RW | 27 | 898,000$ | 898,000$ | UFA | ||||||
Josh Dickinson | C | 25 | 750,000$ | 700,000$ | RFA | ||||||
Kristian Reichel | C | 24 | 750,000$ | 700,000$ | 775,000$ | 775,000$ | UFA | ||||
Kristian Vesalainen | LW | 23 | 1,528,000$ | 1,528,000$ | RFA | ||||||
Kristians Rubins | D | 25 | 795,000$ | 840,000$ | 750,000$ | UFA | |||||
Landon Bow | G | 27 | 840,000$ | 840,000$ | UFA | ||||||
Liam O'Brien | C | 28 | 769,000$ | 757,000$ | 775,000$ | 775,000$ | UFA | ||||
Loui Eriksson | LW | 37 | 992,000$ | 992,000$ | UFA | ||||||
Marko Dano | LW | 28 | 950,000$ | 950,000$ | UFA | ||||||
Rasmus Sandin | D | 23 | 1,231,389$ | 894,167$ | 1,400,000$ | 1,400,000$ | RFA | ||||
Rhett Gardner | C/LW | 27 | 843,750$ | 937,500$ | 750,000$ | UFA | |||||
Ryan Stanton | D | 33 | 750,000$ | 750,000$ | UFA | ||||||
Steven Fogarty | C | 29 | 758,333$ | 750,000$ | 762,500$ | 762,500$ | UFA | ||||
Stuart Skinner | G | 24 | 1,895,000$ | 925,000$ | 750,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | UFA | ||
Tobias Rieder | C/LW/RW | 30 | 1,172,000$ | 1,172,000$ | UFA | ||||||
Tom Kuhnhackl | LW/RW | 31 | 966,000$ | 966,000$ | UFA | ||||||
Vladimir Tkachev | LW | 27 | 750,000$ | 750,000$ | 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 |
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1 | Checkers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 130 | 115 | 76 | 13 | 35 | 1064 | 1069 | 1083 | 59 | 33 | 12 | 8 | 35 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 62.5% | 14.3% | 90.9% | 105.2 | FUN |
2 | Marlies | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 130 | 115 | 76 | 13 | 45 | 1064 | 1069 | 1083 | 59 | 33 | 7 | 4 | 21 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 50.0% | 11.1% | 87.9% | 99.0 | FUN |
3 | Americans | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 130 | 115 | 76 | 13 | 31 | 1064 | 1069 | 1083 | 59 | 31 | 15 | 4 | 18 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 1 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 66.7% | 19.4% | 90.3% | 109.7 | FUN |
4 | Binghamton Senateurs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 130 | 115 | 76 | 13 | 101 | 1064 | 1069 | 1083 | 59 | 71 | 20 | 2 | 53 | 8 | 1 | 12.50% | 1 | 0 | 100.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 54.5% | 6.9% | 93.0% | 99.9 | DULL |
5 | Bears | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 130 | 115 | 76 | 13 | 62 | 1064 | 1069 | 1083 | 59 | 54 | 18 | 12 | 43 | 4 | 1 | 25.00% | 5 | 3 | 40.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 58.3% | 12.9% | 85.2% | 98.1 | FUN |
6 | Rockets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 130 | 115 | 76 | 13 | 34 | 1064 | 1069 | 1083 | 59 | 38 | 10 | 10 | 27 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 20.0% | 5.9% | 86.8% | 92.7 | Unlucky |
7 | Providence Bruins | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 12 | 1 | 2 | 0.333 | 13 | 24 | 37 | 1 | 0 | 130 | 115 | 76 | 13 | 121 | 1064 | 1069 | 1083 | 59 | 113 | 30 | 18 | 68 | 10 | 3 | 30.00% | 9 | 4 | 55.56% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 55.6% | 10.7% | 89.4% | 100.1 | FUN |
8 | Wolves | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 130 | 115 | 76 | 13 | 37 | 1064 | 1069 | 1083 | 59 | 42 | 10 | 10 | 24 | 2 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 55.6% | 13.5% | 83.3% | 96.8 | FUN |
9 | Eagles | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 130 | 115 | 76 | 13 | 79 | 1064 | 1069 | 1083 | 59 | 74 | 24 | 16 | 40 | 8 | 2 | 25.00% | 8 | 1 | 87.50% | 1 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 69.2% | 13.9% | 93.2% | 107.2 | LUCKY |
10 | Phantoms | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 130 | 115 | 76 | 13 | 41 | 1064 | 1069 | 1083 | 59 | 24 | 10 | 4 | 24 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 66.7% | 7.3% | 95.8% | 103.2 | DULL |
11 | Wolf Pack | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 130 | 115 | 76 | 13 | 37 | 1064 | 1069 | 1083 | 59 | 55 | 10 | 6 | 24 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 28.6% | 5.4% | 90.9% | 96.3 | Unlucky |
12 | islanders | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 130 | 115 | 76 | 13 | 31 | 1064 | 1069 | 1083 | 59 | 41 | 7 | 10 | 23 | 1 | 1 | 100.00% | 5 | 1 | 80.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 66.7% | 9.7% | 95.1% | 104.8 | LUCKY |
13 | IceHogs | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 8 | 1 | 3 | 0.750 | 9 | 17 | 26 | 0 | 0 | 130 | 115 | 76 | 13 | 82 | 1064 | 1069 | 1083 | 59 | 74 | 18 | 20 | 38 | 13 | 2 | 15.38% | 10 | 2 | 80.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 53.8% | 11.0% | 89.2% | 100.2 | FUN |
14 | Griffins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 130 | 115 | 76 | 13 | 36 | 1064 | 1069 | 1083 | 59 | 39 | 9 | 6 | 23 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 60.0% | 13.9% | 92.3% | 106.2 | LUCKY |
15 | Monsters | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 130 | 115 | 76 | 13 | 35 | 1064 | 1069 | 1083 | 59 | 34 | 6 | 8 | 24 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 40.0% | 11.4% | 91.2% | 102.6 | LUCKY |
16 | Barracuda | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 26 | 16 | 10 | 8 | 0.667 | 26 | 40 | 66 | 0 | 0 | 130 | 115 | 76 | 13 | 233 | 1064 | 1069 | 1083 | 59 | 243 | 70 | 51 | 133 | 20 | 6 | 30.00% | 22 | 3 | 86.36% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 60.6% | 11.2% | 93.4% | 104.6 | LUCKY |
17 | Condors | 6 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 20 | 21 | -1 | 7 | 0.583 | 20 | 36 | 56 | 0 | 0 | 130 | 115 | 76 | 13 | 230 | 1064 | 1069 | 1083 | 59 | 206 | 66 | 46 | 146 | 17 | 7 | 41.18% | 22 | 6 | 72.73% | 1 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 46.4% | 8.7% | 89.8% | 98.5 | Unlucky |
18 | Iowa Wild | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 130 | 115 | 76 | 13 | 63 | 1064 | 1069 | 1083 | 59 | 64 | 22 | 21 | 41 | 5 | 2 | 40.00% | 8 | 0 | 100.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 58.3% | 14.3% | 92.2% | 106.5 | LUCKY |
19 | Reign | 6 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 23 | 15 | 8 | 10 | 0.833 | 23 | 41 | 64 | 0 | 0 | 130 | 115 | 76 | 13 | 236 | 1064 | 1069 | 1083 | 59 | 200 | 50 | 46 | 137 | 21 | 6 | 28.57% | 21 | 2 | 90.48% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 56.7% | 9.7% | 92.5% | 102.2 | LUCKY |
20 | Thunderbirds | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 130 | 115 | 76 | 13 | 84 | 1064 | 1069 | 1083 | 59 | 66 | 17 | 10 | 61 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 72.7% | 9.5% | 93.9% | 103.5 | LUCKY |
21 | Wranglers | 6 | 1 | 3 | 0 | 1 | 0 | 1 | 0 | 22 | 26 | -4 | 6 | 0.500 | 22 | 39 | 61 | 0 | 0 | 130 | 115 | 76 | 13 | 226 | 1064 | 1069 | 1083 | 59 | 216 | 58 | 38 | 137 | 20 | 6 | 30.00% | 18 | 8 | 55.56% | 1 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 47.1% | 9.7% | 88.0% | 97.7 | FUN |
22 | Texas Stars | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 130 | 115 | 76 | 13 | 80 | 1064 | 1069 | 1083 | 59 | 57 | 16 | 10 | 52 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 57.1% | 10.0% | 89.5% | 99.5 | FUN |
23 | Canucks | 6 | 3 | 1 | 0 | 1 | 0 | 1 | 0 | 27 | 21 | 6 | 10 | 0.833 | 27 | 44 | 71 | 0 | 0 | 130 | 115 | 76 | 13 | 246 | 1064 | 1069 | 1083 | 59 | 191 | 60 | 42 | 138 | 31 | 6 | 19.35% | 20 | 4 | 80.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 55.3% | 11.0% | 89.0% | 100.0 | FUN |
24 | Comets | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 130 | 115 | 76 | 13 | 44 | 1064 | 1069 | 1083 | 59 | 29 | 8 | 2 | 18 | 2 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 50.0% | 6.8% | 86.2% | 93.0 | Unlucky |
25 | W-B/Scranton Penguins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 130 | 115 | 76 | 13 | 41 | 1064 | 1069 | 1083 | 59 | 31 | 7 | 6 | 29 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 33.3% | 9.8% | 80.6% | 90.4 | FUN |
26 | Roadrunners | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 20 | 30 | 0 | 0 | 130 | 115 | 76 | 13 | 88 | 1064 | 1069 | 1083 | 59 | 58 | 13 | 8 | 41 | 8 | 2 | 25.00% | 4 | 2 | 50.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 72.7% | 11.4% | 91.4% | 102.7 | LUCKY |
27 | Crunch | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 6 | 9 | 6 | 1.000 | 15 | 27 | 42 | 0 | 0 | 130 | 115 | 76 | 13 | 115 | 1064 | 1069 | 1083 | 59 | 115 | 28 | 21 | 64 | 9 | 4 | 44.44% | 8 | 2 | 75.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 73.3% | 13.0% | 94.8% | 107.8 | LUCKY |
28 | Admirals | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 130 | 115 | 76 | 13 | 71 | 1064 | 1069 | 1083 | 59 | 74 | 21 | 20 | 45 | 6 | 2 | 33.33% | 10 | 4 | 60.00% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 0.0% | 2.8% | 91.9% | 94.7 | DULL |
29 | Moose | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 5 | 8 | 6 | 1.000 | 13 | 22 | 35 | 0 | 0 | 130 | 115 | 76 | 13 | 121 | 1064 | 1069 | 1083 | 59 | 88 | 22 | 41 | 62 | 19 | 3 | 15.79% | 14 | 4 | 71.43% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 90.9% | 10.7% | 94.3% | 105.1 | LUCKY |
30 | Silver Knights | 6 | 4 | 0 | 0 | 0 | 0 | 1 | 1 | 30 | 16 | 14 | 11 | 0.917 | 30 | 54 | 84 | 0 | 0 | 130 | 115 | 76 | 13 | 321 | 1064 | 1069 | 1083 | 59 | 228 | 64 | 32 | 143 | 36 | 9 | 25.00% | 16 | 5 | 68.75% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 65.6% | 9.3% | 93.0% | 102.3 | LUCKY |
31 | Firebirds | 7 | 2 | 4 | 0 | 0 | 1 | 0 | 0 | 23 | 29 | -6 | 5 | 0.357 | 23 | 43 | 66 | 0 | 0 | 130 | 115 | 76 | 13 | 246 | 1064 | 1069 | 1083 | 59 | 241 | 66 | 68 | 185 | 13 | 2 | 15.38% | 28 | 6 | 78.57% | 0 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 47.7% | 9.3% | 88.0% | 97.3 | FUN |
_Vs Division | 43 | 21 | 13 | 0 | 3 | 2 | 3 | 1 | 171 | 144 | 27 | 57 | 0.663 | 171 | 297 | 468 | 0 | 0 | 130 | 115 | 76 | 13 | 1738 | 1064 | 1069 | 1083 | 59 | 1525 | 434 | 323 | 1019 | 158 | 42 | 26.58% | 147 | 34 | 76.87% | 2 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 54.0% | 9.8% | 90.6% | 100.4 | FUN | |
_Vs Conference | 60 | 32 | 16 | 0 | 5 | 3 | 3 | 1 | 241 | 188 | 53 | 84 | 0.700 | 241 | 423 | 664 | 0 | 0 | 130 | 115 | 76 | 13 | 2406 | 1064 | 1069 | 1083 | 59 | 2080 | 587 | 469 | 1399 | 226 | 55 | 24.34% | 209 | 48 | 77.03% | 3 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 57.1% | 10.0% | 91.0% | 101.0 | FUN | |
_Since Last GM Reset | 82 | 43 | 24 | 0 | 5 | 4 | 5 | 1 | 331 | 265 | 66 | 111 | 0.677 | 331 | 585 | 916 | 2 | 0 | 130 | 115 | 76 | 13 | 3252 | 1064 | 1069 | 1083 | 59 | 2863 | 794 | 600 | 1917 | 290 | 73 | 25.17% | 271 | 64 | 76.38% | 4 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 56.2% | 10.2% | 90.7% | 100.9 | FUN | |
Total | 82 | 43 | 24 | 0 | 5 | 4 | 5 | 1 | 331 | 265 | 66 | 111 | 0.677 | 331 | 585 | 916 | 2 | 0 | 130 | 115 | 76 | 13 | 3252 | 1064 | 1069 | 1083 | 59 | 2863 | 794 | 600 | 1917 | 290 | 73 | 25.17% | 271 | 64 | 76.38% | 4 | 1654 | 3287 | 50.32% | 1631 | 3042 | 53.62% | 749 | 1425 | 52.56% | 2013 | 1394 | 1884 | 606 | 1072 | 540 | 56.2% | 10.2% | 90.7% | 100.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 13 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 3287 |
Neutral Zone Start | 1425 |
Defensive Zone Start | 3042 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 4034 |
Faceoffs Lost | 3720 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.0 | 9.57 |
2nd Period | 26.0 | 20.31 |
3rd Period | 39.2 | 30.68 |
Overtime | 39.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.6 | 0.64 |
2nd Period | 3.0 | 1.65 |
3rd Period | 3.9 | 2.67 |
Overtime | 4.1 | 2.83 |
Even Strenght Goal | 252 |
---|---|
PP Goal | 73 |
PK Goal | 4 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 26 | 27 |
Lost | 12 | 12 |
Overtime Lost | 3 | 2 |
PP Attempt | 290 |
---|---|
PP Goal | 73 |
PK Attempt | 271 |
PK Goal Against | 64 |
Home | |
---|---|
Shots For | 39.7 |
Shots Against | 34.9 |
Goals For | 4.0 |
Goals Against | 3.2 |
Hits | 23.4 |
Shots Blocked | 9.7 |
Pim | 7.3 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,057,700$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | San Diego | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 39$ | 19$ | $ | $ | $ |
Attendance | 54176 | 27276 | |||
Attendance PCT | 66.07% | 66.53% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 1987 - 66.22% | 95,618$ | 3,920,351$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,057,700$ | 3,228,530$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
521,434$ | 0$ | 521,434$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 16,439$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
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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