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Full Scoreboard »» |
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Full Scoreboard »» |
Calgary Wranglers 36-19-12, 84pts · 3rd in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 21 | C | 100.00 | 67 | 39 | 81 | 53 | 78 | 69 | 83 | 70 | 83 | 53 | 62 | 73 | 58 | 82 | 80 | 0 | 57 | 73 | 35 | 800,000$/1yrs | |||
![]() | 47 | C | 100.00 | 73 | 33 | 86 | 59 | 77 | 71 | 68 | 59 | 77 | 66 | 56 | 61 | 58 | 76 | 74 | 0 | 26 | 72 | 31 | 775,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 38 | 84 | 63 | 65 | 70 | 80 | 63 | 44 | 60 | 66 | 65 | 63 | 61 | 60 | 0 | 53 | 72 | 22 | 852,500$/2yrs | |||
![]() | 17 | C/LW/RW | 100.00 | 77 | 38 | 93 | 55 | 76 | 73 | 73 | 54 | 76 | 54 | 57 | 77 | 56 | 77 | 77 | 0 | 56 | 71 | 31 | 1,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 72 | 40 | 71 | 58 | 73 | 67 | 90 | 62 | 69 | 59 | 58 | 65 | 59 | 65 | 62 | 0 | 60 | 70 | 26 | 775,000$/1yrs | |||
![]() | 47 | RW | 100.00 | 77 | 44 | 61 | 54 | 89 | 66 | 83 | 65 | 71 | 53 | 60 | 68 | 57 | 72 | 68 | 0 | 45 | 70 | 30 | 775,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 62 | 38 | 88 | 56 | 69 | 67 | 87 | 63 | 68 | 57 | 57 | 67 | 57 | 68 | 67 | 0 | 60 | 70 | 28 | 800,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 40 | 76 | 58 | 80 | 67 | 81 | 61 | 45 | 52 | 64 | 65 | 58 | 65 | 62 | 0 | 60 | 70 | 26 | 900,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 84 | 66 | 50 | 55 | 84 | 71 | 77 | 58 | 59 | 59 | 58 | 55 | 58 | 72 | 67 | 0 | 62 | 69 | 29 | 900,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 66 | 39 | 80 | 58 | 75 | 67 | 85 | 61 | 38 | 58 | 57 | 65 | 58 | 65 | 63 | 0 | 58 | 69 | 26 | 800,000$/2yrs | |||
![]() | 17 | C | 100.00 | 79 | 42 | 60 | 50 | 86 | 63 | 84 | 65 | 78 | 51 | 52 | 69 | 52 | 70 | 66 | 0 | 25 | 68 | 29 | 775,000$/2yrs | |||
![]() | 70 | C/RW | 100.00 | 68 | 40 | 77 | 52 | 84 | 63 | 87 | 64 | 75 | 54 | 51 | 68 | 53 | 68 | 66 | 0 | 61 | 68 | 27 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 36 | 80 | 55 | 70 | 84 | 86 | 58 | 30 | 60 | 55 | 71 | 56 | 76 | 74 | 0 | 46 | 73 | 30 | 800,000$/2yrs | |||
![]() | 0 | RWD | 100.00 | 59 | 33 | 90 | 61 | 82 | 88 | 71 | 57 | 30 | 64 | 64 | 62 | 61 | 70 | 69 | 0 | 43 | 73 | 27 | 1,250,000$/2yrs | |||
![]() | 22 | D | 100.00 | 74 | 46 | 83 | 55 | 95 | 79 | 72 | 53 | 30 | 59 | 54 | 61 | 53 | 74 | 72 | 0 | 63 | 71 | 30 | 787,500$/1yrs | |||
![]() | 36 | D | 100.00 | 67 | 38 | 77 | 55 | 76 | 79 | 73 | 56 | 30 | 58 | 58 | 66 | 57 | 76 | 74 | 0 | 37 | 71 | 31 | 775,000$/1yrs | |||
![]() | 92 | D | 100.00 | 76 | 46 | 73 | 55 | 82 | 80 | 71 | 54 | 30 | 58 | 50 | 65 | 52 | 72 | 69 | 0 | 62 | 70 | 29 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 43 | 73 | 55 | 71 | 78 | 72 | 53 | 30 | 56 | 54 | 63 | 53 | 72 | 70 | 0 | 44 | 69 | 29 | 775,000$/2yrs | |||
![]() | 0 | D | 100.00 | 88 | 42 | 50 | 61 | 75 | 60 | 60 | 56 | 65 | 56 | 47 | 60 | 60 | 61 | 56 | 0 | 35 | 68 | 24 | 775,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 61 | C/LW/RW | 100.00 | 60 | 32 | 91 | 60 | 66 | 74 | 67 | 61 | 59 | 66 | 58 | 59 | 59 | 74 | 73 | 0 | 20 | 72 | 30 | 800,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 74 | 39 | 77 | 65 | 71 | 73 | 60 | 63 | 51 | 58 | 59 | 66 | 66 | 67 | 69 | 0 | 41 | 72 | 26 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 63 | 38 | 85 | 66 | 70 | 65 | 60 | 67 | 65 | 62 | 55 | 62 | 66 | 63 | 62 | 0 | 20 | 71 | 25 | ||||
![]() | 0 | RW | 100.00 | 77 | 40 | 62 | 63 | 71 | 64 | 60 | 62 | 65 | 58 | 54 | 64 | 64 | 65 | 61 | 0 | 20 | 70 | 26 | ||||
![]() | 0 | LW | 100.00 | 63 | 39 | 90 | 57 | 81 | 63 | 89 | 55 | 41 | 54 | 58 | 61 | 56 | 59 | 58 | 0 | 20 | 67 | 22 | 863,333$/3yrs | |||
![]() | 0 | RW | 100.00 | 74 | 40 | 68 | 47 | 77 | 59 | 68 | 63 | 35 | 47 | 47 | 66 | 47 | 64 | 61 | 0 | 20 | 64 | 25 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 37 | 89 | 61 | 66 | 64 | 60 | 59 | 65 | 57 | 50 | 67 | 62 | 65 | 64 | 0 | 20 | 70 | 26 | ||||
![]() | 0 | D | 100.00 | 55 | 37 | 99 | 61 | 69 | 58 | 60 | 67 | 65 | 62 | 42 | 53 | 60 | 61 | 61 | 0 | 20 | 70 | 24 | ||||
![]() | 53 | D | 100.00 | 76 | 41 | 65 | 48 | 82 | 62 | 76 | 46 | 30 | 53 | 48 | 68 | 50 | 68 | 64 | 0 | 20 | 66 | 27 | ||||
![]() | 0 | D | 100.00 | 73 | 41 | 72 | 55 | 87 | 63 | 78 | 52 | 30 | 48 | 47 | 62 | 55 | 56 | 53 | 0 | 20 | 64 | 20 | 865,000$/3yrs | |||
![]() | 20 | D | 100.00 | 82 | 42 | 54 | 44 | 83 | 60 | 81 | 43 | 30 | 49 | 47 | 68 | 48 | 68 | 63 | 0 | 19 | 63 | 27 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 83 | 41 | 53 | 42 | 70 | 58 | 67 | 42 | 30 | 47 | 45 | 67 | 46 | 66 | 61 | 0 | 19 | 62 | 26 | 775,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 76 | 77 | 72 | 93 | 59 | 76 | 76 | 76 | 76 | 76 | 76 | 62 | 63 | 0 | 61 | 79 | 23 | 843,333$/1yrs |
![]() | 0 | 100.00 | 81 | 67 | 68 | 84 | 66 | 63 | 69 | 73 | 69 | 71 | 69 | 75 | 78 | 0 | 20 | 75 | 30 | 775,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 38 | 100.00 | 72 | 73 | 70 | 74 | 74 | 75 | 73 | 72 | 75 | 74 | 73 | 65 | 66 | 0 | 20 | 77 | 26 | 900,000$/1yrs |
![]() | 0 | 100.00 | 72 | 75 | 70 | 76 | 72 | 74 | 73 | 73 | 74 | 74 | 73 | 64 | 65 | 0 | 49 | 77 | 24 | 800,000$/2yrs |
![]() | 30 | 100.00 | 72 | 58 | 70 | 84 | 68 | 76 | 73 | 72 | 76 | 75 | 74 | 67 | 71 | 0 | 20 | 76 | 27 | |
![]() | 0 | 100.00 | 70 | 70 | 69 | 71 | 77 | 76 | 72 | 70 | 76 | 73 | 72 | 71 | 71 | 0 | 22 | 76 | 28 | 775,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Luke Richardson | 88 | 75 | 72 | 90 | 74 | 70 | 61 | CAN | 56 | 5 | 1,000,000$ |
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 | Kevin Rooney | C/LW/RW | 63 | 23 | 26 | 49 | 19 | 22 | 0 | 90 | 222 | 58 | 168 | 10.36% | 15 | 17.91 | 4 | 4 | 8 | 155 | 0 | 0 | 0 | 121 | 3 | 3 | 54.10% | 268 | 0 | 0 | 1 | 1 | 0.87 | 0 | 0 | ||
2 | Will Lockwood | RW | 62 | 23 | 22 | 45 | 11 | 26 | 0 | 147 | 225 | 64 | 160 | 10.22% | 20 | 16.80 | 4 | 3 | 7 | 172 | 0 | 0 | 0 | 30 | 6 | 1 | 47.32% | 112 | 0 | 0 | 0 | 0 | 0.86 | 0 | 3 | ||
3 | Zac Dalpe | C | 54 | 23 | 20 | 43 | 17 | 23 | 5 | 77 | 224 | 57 | 171 | 10.27% | 25 | 19.32 | 2 | 7 | 9 | 157 | 1 | 1 | 2 | 165 | 7 | 1 | 59.80% | 1597 | 0 | 0 | 0 | 0 | 0.82 | 0 | 1 | ||
4 | Troy Stecher | D | 58 | 7 | 30 | 37 | 11 | 38 | 0 | 140 | 105 | 23 | 47 | 6.67% | 85 | 23.22 | 2 | 3 | 5 | 136 | 0 | 2 | 2 | 129 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
5 | Daniil Miromanov | RW/D | 62 | 9 | 28 | 37 | 14 | 16 | 0 | 44 | 118 | 36 | 110 | 7.63% | 45 | 22.38 | 2 | 4 | 6 | 174 | 0 | 0 | 0 | 99 | 3 | 0 | 38.53% | 109 | 0 | 0 | 0 | 0 | 0.53 | 0 | 4 | ||
6 | Brian Halonen | LW/RW | 67 | 19 | 17 | 36 | 16 | 50 | 0 | 87 | 196 | 64 | 118 | 9.69% | 15 | 17.37 | 3 | 3 | 6 | 160 | 0 | 0 | 0 | 72 | 3 | 0 | 46.88% | 96 | 0 | 0 | 0 | 1 | 0.62 | 0 | 2 | ||
7 | Aatu Jamsen | LW/RW | 55 | 13 | 21 | 34 | 15 | 18 | 0 | 68 | 172 | 51 | 119 | 7.56% | 6 | 16.26 | 0 | 2 | 2 | 76 | 2 | 0 | 2 | 96 | 3 | 1 | 46.24% | 93 | 0 | 0 | 0 | 0 | 0.76 | 1 | 2 | ||
8 | Ben Harpur | D | 67 | 8 | 23 | 31 | 19 | 34 | 10 | 132 | 75 | 17 | 42 | 10.67% | 93 | 22.83 | 4 | 2 | 6 | 197 | 0 | 0 | 0 | 206 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
9 | Dakota Mermis | D | 59 | 3 | 28 | 31 | 22 | 34 | 0 | 74 | 73 | 28 | 76 | 4.11% | 74 | 22.06 | 0 | 7 | 7 | 166 | 0 | 0 | 0 | 164 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
10 | Ben Jones | C | 67 | 8 | 22 | 30 | 9 | 14 | 0 | 60 | 142 | 32 | 87 | 5.63% | 9 | 10.93 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 31 | 2 | 0 | 51.85% | 756 | 0 | 0 | 0 | 0 | 0.82 | 0 | 1 | ||
11 | William Lagesson | D | 67 | 3 | 27 | 30 | 21 | 60 | 10 | 120 | 72 | 26 | 50 | 4.17% | 65 | 21.05 | 1 | 6 | 7 | 179 | 0 | 0 | 0 | 186 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
12 | Dominic Toninato | C | 59 | 11 | 18 | 29 | 4 | 8 | 0 | 40 | 106 | 26 | 79 | 10.38% | 6 | 15.35 | 2 | 2 | 4 | 113 | 0 | 2 | 2 | 110 | 1 | 0 | 56.00% | 1084 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
13 | John Hayden | RW | 59 | 14 | 14 | 28 | 8 | 48 | 10 | 81 | 144 | 39 | 118 | 9.72% | 9 | 13.67 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 2 | 2 | 63.89% | 72 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | ||
14 | Brendan Lemieux | LW/RW | 67 | 11 | 12 | 23 | 20 | 80 | 20 | 150 | 107 | 24 | 62 | 10.28% | 6 | 13.30 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 41 | 1 | 2 | 57.41% | 54 | 0 | 0 | 0 | 0 | 0.52 | 0 | 1 | ||
15 | Callahan Burke | RW | 67 | 8 | 11 | 19 | 6 | 10 | 0 | 36 | 128 | 28 | 85 | 6.25% | 6 | 11.10 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 16 | 1 | 1 | 51.52% | 66 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
16 | Mark Friedman | D | 59 | 0 | 12 | 12 | 3 | 34 | 0 | 113 | 37 | 10 | 31 | 0.00% | 52 | 15.58 | 0 | 2 | 2 | 56 | 0 | 0 | 0 | 91 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
17 | Gianni Fairbrother | D | 40 | 1 | 11 | 12 | 12 | 46 | 0 | 101 | 22 | 7 | 14 | 4.55% | 26 | 11.76 | 1 | 0 | 1 | 16 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
18 | Alexander True | C/RW | 65 | 4 | 3 | 7 | 8 | 12 | 0 | 4 | 38 | 8 | 22 | 10.53% | 1 | 3.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 57.92% | 183 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | ||
19 | Arnaud Durandeau | LW | 64 | 4 | 3 | 7 | 3 | 4 | 0 | 14 | 35 | 6 | 26 | 11.43% | 4 | 3.43 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 26.67% | 15 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
20 | Wyatt Newpower | D | 5 | 0 | 2 | 2 | 4 | 0 | 0 | 9 | 2 | 1 | 3 | 0.00% | 3 | 17.96 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
21 | Nic Petan | C/LW/RW | 4 | 1 | 0 | 1 | -1 | 0 | 0 | 3 | 11 | 4 | 5 | 9.09% | 1 | 22.36 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 13 | 0 | 0 | 50.00% | 10 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | ||
22 | Chris Jandric | D | 5 | 0 | 1 | 1 | 4 | 2 | 0 | 12 | 5 | 1 | 0 | 0.00% | 2 | 17.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
23 | Anthony Angello | C | 10 | 0 | 0 | 0 | 0 | 4 | 0 | 8 | 4 | 0 | 6 | 0.00% | 0 | 4.37 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 87.50% | 16 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
24 | Noah Warren | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 0 | 0 | 0.00% | 4 | 15.83 | 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 | 1187 | 193 | 351 | 544 | 245 | 583 | 55 | 1617 | 2265 | 610 | 1599 | 8.52% | 572 | 15.60 | 25 | 45 | 70 | 1826 | 3 | 5 | 8 | 1615 | 34 | 13 | 55.66% | 4531 | 0 | 0 | 1 | 2 | 0.59 | 1 | 14 |
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 | Dennis Hildeby | 43 | 24 | 12 | 6 | 0.918 | 2.43 | 2517 | 2 | 4 | 102 | 1248 | 0 | 1 | 0 | 0.500 | 6 | 41 | 24 | 5 | 3 | 2 | |
2 | Kevin Mandolese | 26 | 12 | 6 | 5 | 0.909 | 2.79 | 1420 | 4 | 1 | 66 | 723 | 0 | 1 | 0 | 0.556 | 9 | 24 | 29 | 1 | 3 | 2 | |
3 | Kyle Keyser | 2 | 0 | 1 | 1 | 0.899 | 4.46 | 121 | 0 | 0 | 9 | 89 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 | |
Team Total or Average | 71 | 36 | 19 | 12 | 0.914 | 2.62 | 4060 | 6 | 5 | 177 | 2060 | 0 | 2 | 0 | 0.533 | 15 | 67 | 53 | 6 | 6 | 4 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aatu Jamsen | LW/RW | 22 | 852,500$ | 852,500$ | 852,500$ | RFA | |||||
Adam Werner | G | 27 | 0$ | UFA | |||||||
Alex-Olivier Voyer | RW | 25 | 775,000$ | 775,000$ | |||||||
Alexander True | C/RW | 27 | 800,000$ | 800,000$ | UFA | ||||||
Andrei Altybarmakyan | RW | 26 | 0$ | ||||||||
Anthony Angello | C | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Arnaud Durandeau | LW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Axel Rindell | D | 24 | 0$ | ||||||||
Ben Harpur | D | 30 | 787,500$ | 787,500$ | UFA | ||||||
Ben Jones | C | 26 | 775,000$ | 775,000$ | |||||||
Brendan Lemieux | LW/RW | 29 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Brian Halonen | LW/RW | 26 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Callahan Burke | RW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Chris Jandric | D | 26 | 775,000$ | 775,000$ | |||||||
Collin Delia | G | 30 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Dakota Mermis | D | 31 | 775,000$ | 775,000$ | UFA | ||||||
Daniil Miromanov | RW/D | 27 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Dennis Hildeby | G | 23 | 843,333$ | 843,333$ | RFA | ||||||
Dominic Toninato | C | 31 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Gianni Fairbrother | D | 24 | 775,000$ | 775,000$ | |||||||
Jesper Sellgren | D | 26 | 0$ | ||||||||
John Hayden | RW | 30 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Kalle Vaisanen | LW | 22 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | |||||
Kevin Mandolese | G | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Kevin Rooney | C/LW/RW | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Kyle Keyser | G | 26 | 900,000$ | 900,000$ | |||||||
Lucas Elvenes | C | 25 | 0$ | ||||||||
Ludovic Waeber | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
Mark Friedman | D | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Nic Petan | C/LW/RW | 30 | 800,000$ | 800,000$ | UFA | ||||||
Nicolas Meloche | D | 27 | 0$ | UFA | |||||||
Noah Warren | D | 20 | 865,000$ | 865,000$ | 865,000$ | 865,000$ | RFA | ||||
Troy Stecher | D | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Will Lockwood | RW | 26 | 775,000$ | 775,000$ | |||||||
William Lagesson | D | 29 | 800,000$ | 800,000$ | UFA | ||||||
Wyatt Newpower | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Zac Dalpe | C | 35 | 800,000$ | 800,000$ | UFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 91 | 64 | 51 | 8 | 29 | 791 | 839 | 774 | 53 | 31 | 10 | 8 | 27 | 3 | 2 | 66.67% | 3 | 0 | 100.00% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 50.0% | 17.2% | 90.3% | 107.6 | FUN | |
2 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 0.667 | 9 | 15 | 24 | 0 | 1 | 91 | 64 | 51 | 8 | 124 | 791 | 839 | 774 | 53 | 92 | 33 | 18 | 82 | 12 | 2 | 16.67% | 9 | 2 | 77.78% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 63.6% | 7.3% | 93.5% | 100.7 | DULL | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 91 | 64 | 51 | 8 | 44 | 791 | 839 | 774 | 53 | 23 | 5 | 4 | 36 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 66.7% | 4.5% | 95.7% | 100.2 | DULL | |
4 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 91 | 64 | 51 | 8 | 89 | 791 | 839 | 774 | 53 | 61 | 12 | 10 | 44 | 8 | 1 | 12.50% | 5 | 0 | 100.00% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 41.7% | 6.7% | 88.5% | 95.3 | Unlucky | |
5 | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 10 | 7 | 3 | 5 | 0.625 | 10 | 17 | 27 | 0 | 2 | 91 | 64 | 51 | 8 | 135 | 791 | 839 | 774 | 53 | 120 | 36 | 39 | 92 | 13 | 1 | 7.69% | 16 | 3 | 81.25% | 1 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 69.2% | 7.4% | 94.2% | 101.6 | DULL | |
6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 91 | 64 | 51 | 8 | 73 | 791 | 839 | 774 | 53 | 57 | 14 | 16 | 38 | 3 | 1 | 33.33% | 8 | 1 | 87.50% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 63.6% | 11.0% | 91.2% | 102.2 | LUCKY | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 91 | 64 | 51 | 8 | 32 | 791 | 839 | 774 | 53 | 35 | 6 | 8 | 33 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 50.0% | 12.5% | 85.7% | 98.2 | FUN | |
8 | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 14 | 11 | 3 | 3 | 0.375 | 14 | 23 | 37 | 0 | 0 | 91 | 64 | 51 | 8 | 150 | 791 | 839 | 774 | 53 | 132 | 36 | 55 | 107 | 14 | 1 | 7.14% | 20 | 7 | 65.00% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 76.5% | 9.3% | 91.7% | 101.0 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 91 | 64 | 51 | 8 | 36 | 791 | 839 | 774 | 53 | 24 | 7 | 0 | 20 | 6 | 1 | 16.67% | 0 | 0 | 0.00% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 60.0% | 11.1% | 91.7% | 102.8 | LUCKY | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 91 | 64 | 51 | 8 | 45 | 791 | 839 | 774 | 53 | 35 | 11 | 8 | 20 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 33.3% | 6.7% | 85.7% | 92.4 | Unlucky | |
11 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 91 | 64 | 51 | 8 | 60 | 791 | 839 | 774 | 53 | 79 | 24 | 23 | 49 | 5 | 1 | 20.00% | 9 | 1 | 88.89% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 62.5% | 10.0% | 94.9% | 104.9 | LUCKY | |
12 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 5 | 9 | 8 | 1.000 | 14 | 26 | 40 | 0 | 0 | 91 | 64 | 51 | 8 | 124 | 791 | 839 | 774 | 53 | 93 | 35 | 32 | 112 | 20 | 4 | 20.00% | 15 | 2 | 86.67% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 76.9% | 11.3% | 94.6% | 105.9 | LUCKY | |
13 | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 13 | 15 | -2 | 5 | 0.625 | 13 | 26 | 39 | 0 | 1 | 91 | 64 | 51 | 8 | 134 | 791 | 839 | 774 | 53 | 122 | 39 | 38 | 110 | 15 | 2 | 13.33% | 19 | 4 | 78.95% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 50.0% | 9.7% | 87.7% | 97.4 | FUN | |
14 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 91 | 64 | 51 | 8 | 91 | 791 | 839 | 774 | 53 | 45 | 16 | 23 | 51 | 7 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 66.7% | 6.6% | 93.3% | 99.9 | DULL | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 91 | 64 | 51 | 8 | 33 | 791 | 839 | 774 | 53 | 31 | 2 | 10 | 28 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 0.0% | 3.0% | 93.5% | 96.6 | DULL | |
16 | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 16 | 9 | 7 | 7 | 0.875 | 16 | 31 | 47 | 0 | 0 | 91 | 64 | 51 | 8 | 164 | 791 | 839 | 774 | 53 | 121 | 32 | 36 | 87 | 14 | 2 | 14.29% | 16 | 1 | 93.75% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 63.6% | 9.8% | 92.6% | 102.3 | LUCKY | |
17 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 91 | 64 | 51 | 8 | 29 | 791 | 839 | 774 | 53 | 33 | 11 | 10 | 17 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 50.0% | 10.3% | 93.9% | 104.3 | LUCKY | |
18 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 4 | 9 | 6 | 1.000 | 13 | 26 | 39 | 0 | 0 | 91 | 64 | 51 | 8 | 117 | 791 | 839 | 774 | 53 | 99 | 31 | 32 | 77 | 9 | 1 | 11.11% | 15 | 1 | 93.33% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 80.0% | 11.1% | 96.0% | 107.1 | LUCKY | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 91 | 64 | 51 | 8 | 31 | 791 | 839 | 774 | 53 | 33 | 10 | 8 | 26 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 50.0% | 9.7% | 87.9% | 97.6 | FUN | |
20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 91 | 64 | 51 | 8 | 31 | 791 | 839 | 774 | 53 | 30 | 4 | 8 | 30 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 50.0% | 6.5% | 90.0% | 96.5 | Unlucky | |
21 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 91 | 64 | 51 | 8 | 61 | 791 | 839 | 774 | 53 | 60 | 13 | 20 | 40 | 6 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 46.2% | 9.8% | 86.7% | 96.5 | FUN | |
22 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 91 | 64 | 51 | 8 | 89 | 791 | 839 | 774 | 53 | 55 | 12 | 6 | 55 | 8 | 1 | 12.50% | 3 | 1 | 66.67% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 62.5% | 12.4% | 87.3% | 99.6 | FUN | |
23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 91 | 64 | 51 | 8 | 31 | 791 | 839 | 774 | 53 | 35 | 10 | 8 | 24 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 50.0% | 6.5% | 88.6% | 95.0 | Unlucky | |
24 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 4 | 7 | 0 | 0 | 91 | 64 | 51 | 8 | 64 | 791 | 839 | 774 | 53 | 79 | 27 | 12 | 52 | 10 | 1 | 10.00% | 6 | 1 | 83.33% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 28.6% | 4.7% | 92.4% | 97.1 | DULL | |
25 | 4 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 11 | 14 | -3 | 3 | 0.375 | 11 | 19 | 30 | 0 | 0 | 91 | 64 | 51 | 8 | 143 | 791 | 839 | 774 | 53 | 160 | 45 | 35 | 104 | 12 | 1 | 8.33% | 14 | 5 | 64.29% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 52.6% | 7.7% | 91.3% | 98.9 | DULL | |
26 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 6 | -2 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 91 | 64 | 51 | 8 | 95 | 791 | 839 | 774 | 53 | 60 | 15 | 16 | 45 | 3 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 40.0% | 4.2% | 90.0% | 94.2 | Unlucky | |
27 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 8 | 13 | 0 | 0 | 91 | 64 | 51 | 8 | 54 | 791 | 839 | 774 | 53 | 66 | 25 | 42 | 39 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 1 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 40.0% | 9.3% | 87.9% | 97.1 | FUN | |
28 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 91 | 64 | 51 | 8 | 34 | 791 | 839 | 774 | 53 | 34 | 9 | 17 | 25 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 66.7% | 11.8% | 91.2% | 102.9 | LUCKY | |
29 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 12 | 2 | 6 | 0.750 | 14 | 26 | 40 | 0 | 1 | 91 | 64 | 51 | 8 | 158 | 791 | 839 | 774 | 53 | 108 | 28 | 24 | 80 | 9 | 0 | 0.00% | 11 | 3 | 72.73% | 1 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 60.9% | 8.9% | 88.9% | 97.7 | Unlucky | |
30 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 91 | 64 | 51 | 8 | 70 | 791 | 839 | 774 | 53 | 49 | 9 | 24 | 47 | 7 | 1 | 14.29% | 12 | 2 | 83.33% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 66.7% | 10.0% | 89.8% | 99.8 | FUN | |
31 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 5 | -2 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 91 | 64 | 51 | 8 | 72 | 791 | 839 | 774 | 53 | 58 | 20 | 18 | 58 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 37.5% | 4.2% | 91.4% | 95.5 | DULL | |
_Vs Division | 24 | 16 | 4 | 0 | 2 | 2 | 0 | 1 | 78 | 65 | 13 | 39 | 0.813 | 78 | 147 | 225 | 0 | 2 | 91 | 64 | 51 | 8 | 865 | 791 | 839 | 774 | 53 | 711 | 208 | 207 | 598 | 82 | 10 | 12.20% | 91 | 17 | 81.32% | 1 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 58.6% | 9.0% | 90.9% | 99.9 | FUN | |
_Vs Conference | 43 | 22 | 8 | 0 | 3 | 6 | 0 | 4 | 134 | 108 | 26 | 60 | 0.698 | 134 | 248 | 382 | 0 | 4 | 91 | 64 | 51 | 8 | 1561 | 791 | 839 | 774 | 53 | 1310 | 384 | 388 | 1042 | 138 | 15 | 10.87% | 172 | 25 | 85.47% | 2 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 58.9% | 8.6% | 91.8% | 100.3 | DULL | |
_Since Last GM Reset | 67 | 30 | 19 | 0 | 6 | 8 | 0 | 4 | 212 | 181 | 31 | 84 | 0.627 | 212 | 385 | 597 | 0 | 5 | 91 | 64 | 51 | 8 | 2442 | 791 | 839 | 774 | 53 | 2060 | 587 | 608 | 1655 | 223 | 27 | 12.11% | 255 | 45 | 82.35% | 3 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 57.6% | 8.7% | 91.2% | 99.9 | DULL | |
Total | 67 | 30 | 19 | 0 | 6 | 8 | 0 | 4 | 212 | 181 | 31 | 84 | 0.627 | 212 | 385 | 597 | 0 | 5 | 91 | 64 | 51 | 8 | 2442 | 791 | 839 | 774 | 53 | 2060 | 587 | 608 | 1655 | 223 | 27 | 12.11% | 255 | 45 | 82.35% | 3 | 1445 | 2566 | 56.31% | 1304 | 2343 | 55.66% | 586 | 1044 | 56.13% | 1646 | 1115 | 1517 | 518 | 900 | 457 | 57.6% | 8.7% | 91.2% | 99.9 | DULL |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 13 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 2566 |
Neutral Zone Start | 1044 |
Defensive Zone Start | 2343 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3335 |
Faceoffs Lost | 2618 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.8 | 9.57 |
2nd Period | 24.3 | 20.31 |
3rd Period | 35.9 | 30.68 |
Overtime | 36.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 182 |
---|---|
PP Goal | 27 |
PK Goal | 3 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 20 | 16 |
Lost | 5 | 14 |
Overtime Lost | 8 | 4 |
PP Attempt | 223 |
---|---|
PP Goal | 27 |
PK Attempt | 255 |
PK Goal Against | 45 |
Home | |
---|---|
Shots For | 36.4 |
Shots Against | 30.7 |
Goals For | 3.2 |
Goals Against | 2.7 |
Hits | 24.7 |
Shots Blocked | 8.8 |
Pim | 9.1 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-07 | @ | Barracuda0,Wranglers2 | RECAP | |||||||||||
2024-10-10 | @ | Wranglers2,Griffins3 | RECAP | |||||||||||
2024-10-11 | @ | Condors1,Wranglers2 | RECAP | |||||||||||
2024-10-15 | @ | Wranglers4,Islanders3 (OT) | RECAP | |||||||||||
2024-10-16 | @ | Comets0,Wranglers3 | RECAP | |||||||||||
2024-10-21 | @ | Wranglers5,Condors1 | RECAP | |||||||||||
2024-10-23 | @ | Silver Knights2,Wranglers3 | RECAP | |||||||||||
2024-10-25 | @ | Wranglers1,Reign0 | RECAP | |||||||||||
2024-10-27 | @ | Wranglers1,Gulls3 | RECAP | |||||||||||
2024-10-28 | @ | Gulls6,Wranglers5 (OT) | RECAP | |||||||||||
2024-10-30 | @ | Wranglers2,Wolves3 | RECAP | |||||||||||
2024-11-01 | @ | Wolves4,Wranglers3 (OT) | RECAP | |||||||||||
2024-11-04 | @ | Griffins2,Wranglers1 | RECAP | |||||||||||
2024-11-07 | @ | Canucks1,Wranglers5 | RECAP | |||||||||||
2024-11-11 | @ | Wranglers2,IceHogs3 (OT) | RECAP | |||||||||||
2024-11-12 | @ | Wranglers4,Wolf Pack5 | RECAP | |||||||||||
2024-11-14 | @ | Marlies5,Wranglers4 (OT) | RECAP | |||||||||||
2024-11-15 | @ | Wranglers3,Comets4 | RECAP | |||||||||||
2024-11-17 | @ | Roadrunners2,Wranglers5 | RECAP | |||||||||||
2024-11-21 | @ | Wranglers2,Reign5 | RECAP | |||||||||||
2024-11-23 | @ | Reign7,Wranglers6 (SO) | RECAP | |||||||||||
2024-11-25 | @ | Bruins4,Wranglers3 | RECAP | |||||||||||
2024-11-27 | @ | Wranglers1,Marlies3 | RECAP | |||||||||||
2024-11-29 | @ | Wolves0,Wranglers1 | RECAP | |||||||||||
2024-12-01 | @ | Wranglers1,Moose3 | RECAP | |||||||||||
2024-12-04 | @ | Wranglers1,Crunch2 | RECAP | |||||||||||
2024-12-06 | @ | Wild2,Wranglers3 | RECAP | |||||||||||
2024-12-09 | @ | Wranglers3,Wild2 (OT) | RECAP | |||||||||||
2024-12-12 | @ | Wranglers6,Condors3 | RECAP | |||||||||||
2024-12-13 | @ | Barracuda6,Wranglers4 | RECAP | |||||||||||
2024-12-18 | @ | Senators1,Wranglers2 | RECAP | |||||||||||
2024-12-24 | @ | Thunderbirds2,Wranglers3 (OT) | RECAP | |||||||||||
2024-12-26 | @ | Wranglers4,Wolves0 | RECAP | |||||||||||
2024-12-28 | @ | Wranglers1,Stars2 (SO) | RECAP | |||||||||||
2024-12-29 | @ | Americans3,Wranglers2 | RECAP | |||||||||||
2025-01-03 | @ | Phantoms3,Wranglers5 | RECAP | |||||||||||
2025-01-05 | @ | Wranglers3,Bears5 | RECAP | |||||||||||
2025-01-07 | @ | Wranglers2,Firebirds3 (SO) | RECAP | |||||||||||
2025-01-08 | @ | Canucks1,Wranglers3 | RECAP | |||||||||||
2025-01-12 | @ | Wranglers4,Admirals2 | RECAP | |||||||||||
2025-01-13 | @ | IceHogs5,Wranglers4 (OT) | RECAP | |||||||||||
2025-01-16 | @ | Wranglers2,Islanders4 | RECAP | |||||||||||
2025-01-17 | @ | Wranglers4,Rocket2 | RECAP | |||||||||||
2025-01-20 | @ | Stars4,Wranglers3 (SO) | RECAP | |||||||||||
2025-01-22 | @ | Wranglers2,Gulls3 | RECAP | |||||||||||
2025-01-23 | @ | Wranglers7,Griffins1 | RECAP | |||||||||||
2025-01-25 | @ | Checkers3,Wranglers6 | RECAP | |||||||||||
2025-01-28 | @ | Wranglers5,Checkers4 | RECAP | |||||||||||
2025-01-29 | @ | Admirals1,Wranglers2 | RECAP | |||||||||||
2025-01-31 | @ | Wranglers4,Griffins5 (OT) | RECAP | |||||||||||
2025-02-02 | @ | Condors4,Wranglers3 (OT) | RECAP | |||||||||||
2025-02-05 | @ | Wranglers4,Silver Knights3 (OT) | RECAP | |||||||||||
2025-02-07 | @ | Wranglers2,Monsters4 | RECAP | |||||||||||
2025-02-09 | @ | Reign3,Wranglers4 | RECAP | |||||||||||
2025-02-12 | @ | Comets2,Wranglers3 | RECAP | |||||||||||
2025-02-14 | @ | Wranglers2,Canucks1 | RECAP | |||||||||||
2025-02-17 | @ | Roadrunners1,Wranglers3 | RECAP | |||||||||||
2025-02-22 | @ | Gulls2,Wranglers3 (OT) | RECAP | |||||||||||
2025-02-24 | @ | Wranglers4,Canucks2 | RECAP | |||||||||||
2025-02-26 | @ | Firebirds2,Wranglers1 | RECAP | |||||||||||
2025-02-27 | @ | Wranglers1,Eagles2 | RECAP | |||||||||||
2025-03-02 | @ | Wranglers4,Barracuda3 | RECAP | |||||||||||
2025-03-03 | @ | Penguins3,Wranglers4 (OT) | RECAP | |||||||||||
2025-03-06 | @ | Wranglers4,Barracuda3 | RECAP | |||||||||||
2025-03-08 | @ | Wranglers5,Roadrunners1 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | @ | Eagles3,Wranglers7 | RECAP | |||||||||||
2025-03-15 | @ | Moose3,Wranglers2 (OT) | RECAP | |||||||||||
2025-03-19 | @ | |||||||||||||
2025-03-21 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-26 | @ | |||||||||||||
2025-04-04 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,486,166$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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![]() | Name | |
City | Calgary | |
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 |
3 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,486,166$ | 2,486,166$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
3,068,426$ | 13,660$ | 2,167,272$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 32 | 19,155$ | 344,790$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
344,790$ | 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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