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Full Scoreboard »» |
Utah Hockey Club 45-15-7, 97pts · 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 88 | RW | 100.00 | 67 | 34 | 82 | 90 | 77 | 88 | 90 | 85 | 59 | 84 | 94 | 56 | 89 | 73 | 78 | 0 | 82 | 93 | 28 | 11,500,000$/7yrs | |||
![]() | 0 | RW | 100.00 | 62 | 34 | 88 | 79 | 87 | 88 | 83 | 79 | 55 | 86 | 75 | 82 | 77 | 81 | 91 | 0 | 81 | 89 | 32 | 9,500,000$/3yrs | |||
![]() | 38 | LW/RW | 100.00 | 65 | 32 | 75 | 85 | 73 | 90 | 90 | 79 | 58 | 83 | 85 | 75 | 82 | 70 | 68 | 0 | 82 | 89 | 26 | 2,500,000$/8yrs | |||
![]() | 0 | C | 99.00 | 60 | 34 | 90 | 73 | 89 | 88 | 90 | 76 | 92 | 79 | 76 | 81 | 76 | 88 | 99 | 0 | 69 | 87 | 37 | 7,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 33 | 90 | 76 | 78 | 83 | 90 | 75 | 60 | 72 | 81 | 58 | 78 | 80 | 79 | 0 | 82 | 84 | 32 | 5,000,000$/4yrs | |||
![]() | 0 | C/RW | 99.00 | 70 | 34 | 85 | 71 | 89 | 85 | 90 | 70 | 87 | 72 | 71 | 83 | 71 | 80 | 79 | 0 | 82 | 83 | 33 | 5,250,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 70 | 36 | 90 | 73 | 82 | 86 | 90 | 71 | 85 | 74 | 71 | 71 | 71 | 72 | 71 | 0 | 82 | 82 | 27 | 5,000,000$/4yrs | |||
![]() | 69 | C/RW | 100.00 | 74 | 37 | 74 | 69 | 87 | 84 | 87 | 69 | 86 | 68 | 73 | 77 | 71 | 80 | 77 | 0 | 82 | 81 | 32 | 2,250,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 81 | 32 | 90 | 61 | 71 | 79 | 81 | 61 | 81 | 63 | 64 | 80 | 62 | 79 | 78 | 0 | 82 | 77 | 32 | 1,275,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 79 | 34 | 95 | 67 | 90 | 75 | 74 | 65 | 59 | 61 | 72 | 61 | 68 | 70 | 69 | 0 | 82 | 77 | 27 | 800,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 60 | 32 | 94 | 64 | 72 | 81 | 88 | 63 | 81 | 63 | 65 | 76 | 64 | 78 | 77 | 0 | 82 | 76 | 31 | 3,100,000$/5yrs | |||
![]() | 0 | C | 100.00 | 70 | 36 | 86 | 55 | 89 | 77 | 89 | 60 | 81 | 60 | 62 | 75 | 61 | 76 | 75 | 0 | 54 | 74 | 31 | 1,500,000$/1yrs | |||
![]() | 72 | D | 100.00 | 64 | 35 | 89 | 63 | 84 | 92 | 88 | 68 | 30 | 69 | 55 | 87 | 62 | 85 | 84 | 0 | 81 | 82 | 35 | 6,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 34 | 87 | 60 | 90 | 89 | 85 | 66 | 30 | 68 | 60 | 84 | 63 | 83 | 81 | 0 | 82 | 81 | 34 | 3,500,000$/1yrs | |||
![]() | 0 | D | 99.00 | 75 | 52 | 67 | 66 | 87 | 89 | 90 | 73 | 30 | 62 | 61 | 94 | 71 | 73 | 69 | 0 | 81 | 81 | 29 | 3,500,000$/4yrs | |||
![]() | 0 | D | 100.00 | 69 | 32 | 77 | 63 | 74 | 88 | 89 | 63 | 30 | 68 | 56 | 81 | 59 | 70 | 68 | 0 | 82 | 79 | 27 | 4,500,000$/6yrs | |||
![]() | 0 | D | 99.00 | 81 | 37 | 71 | 55 | 85 | 89 | 90 | 62 | 30 | 62 | 55 | 77 | 58 | 72 | 69 | 0 | 80 | 76 | 28 | 2,750,000$/4yrs | |||
![]() | 0 | D | 100.00 | 83 | 42 | 77 | 59 | 82 | 84 | 90 | 62 | 30 | 65 | 55 | 70 | 59 | 71 | 69 | 0 | 82 | 76 | 28 | 3,000,000$/5yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 66 | 33 | 93 | 55 | 82 | 84 | 88 | 59 | 30 | 64 | 59 | 66 | 59 | 75 | 74 | 0 | 19 | 74 | 30 | 2,500,000$/1yrs | |||
TEAM AVERAGE | 99.79 | 70 | 35 | 84 | 68 | 83 | 85 | 87 | 69 | 58 | 70 | 68 | 75 | 68 | 77 | 77 | 0 | 76 | 81 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 97.00 | 81 | 95 | 82 | 76 | 92 | 85 | 93 | 96 | 91 | 97 | 93 | 71 | 75 | 0 | 82 | 92 | 26 | 4,000,000$/6yrs |
![]() | 0 | 100.00 | 60 | 73 | 71 | 91 | 75 | 77 | 77 | 81 | 86 | 84 | 77 | 74 | 78 | 0 | 82 | 82 | 29 | 775,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 71 | 84 | 77 | 84 | 84 | 81 | 85 | 89 | 89 | 91 | 85 | 73 | 77 | 0 | 82 | 87 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Tortorella | 94 | 82 | 75 | 84 | 84 | 74 | 69 | USA | 49 | 5 | 1,000,000$ |
General Manager | Jean-François J-Giguere |
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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 | Mark Stone | 0 | RW | 67 | 25 | 52 | 77 | 24 | 19 | 5 | 57 | 258 | 74 | 193 | 9.69% | 13 | 17.71 | 5 | 17 | 22 | 255 | 0 | 0 | 0 | 8 | 3 | 2 | 42.27% | 97 | 0 | 0 | 0 | 1 | 1.30 | 1 | 7 | |
2 | David Pastrnak | 88 | RW | 67 | 29 | 41 | 70 | 12 | 25 | 5 | 80 | 343 | 88 | 220 | 8.45% | 5 | 18.57 | 3 | 17 | 20 | 263 | 0 | 0 | 0 | 7 | 4 | 1 | 37.68% | 138 | 0 | 0 | 0 | 0 | 1.13 | 0 | 6 | |
3 | Brandon Hagel | 38 | LW/RW | 67 | 27 | 38 | 65 | 16 | 50 | 0 | 104 | 262 | 65 | 190 | 10.31% | 8 | 18.81 | 13 | 10 | 23 | 258 | 0 | 0 | 0 | 39 | 5 | 0 | 49.06% | 106 | 0 | 0 | 0 | 0 | 1.03 | 0 | 6 | |
4 | Charlie Coyle | 0 | C/RW | 67 | 25 | 36 | 61 | 17 | 44 | 0 | 126 | 239 | 61 | 156 | 10.46% | 20 | 20.27 | 8 | 13 | 21 | 234 | 0 | 0 | 0 | 205 | 4 | 2 | 56.23% | 1773 | 0 | 0 | 1 | 0 | 0.90 | 1 | 2 | |
5 | Anze Kopitar | 0 | C | 67 | 17 | 41 | 58 | 12 | 10 | 0 | 26 | 222 | 62 | 138 | 7.66% | 9 | 19.15 | 4 | 14 | 18 | 241 | 0 | 0 | 0 | 103 | 2 | 2 | 57.48% | 1705 | 0 | 0 | 0 | 0 | 0.90 | 0 | 1 | |
6 | Jacob Middleton | 0 | D | 67 | 8 | 43 | 51 | 16 | 80 | 10 | 154 | 129 | 46 | 100 | 6.20% | 114 | 23.46 | 5 | 12 | 17 | 234 | 0 | 0 | 0 | 206 | 3 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | |
7 | Nick Bjugstad | 69 | C/RW | 67 | 22 | 25 | 47 | 27 | 34 | 0 | 139 | 170 | 60 | 124 | 12.94% | 16 | 17.06 | 3 | 6 | 9 | 93 | 1 | 0 | 1 | 200 | 7 | 1 | 50.68% | 953 | 0 | 0 | 0 | 1 | 0.82 | 0 | 0 | |
8 | Pavel Zacha | 0 | C/LW | 67 | 21 | 24 | 45 | 15 | 16 | 0 | 58 | 174 | 49 | 126 | 12.07% | 5 | 14.65 | 6 | 7 | 13 | 150 | 0 | 0 | 0 | 19 | 8 | 1 | 53.82% | 799 | 0 | 0 | 0 | 1 | 0.92 | 1 | 1 | |
9 | Tyler Toffoli | 0 | LW/RW | 67 | 20 | 20 | 40 | 16 | 34 | 0 | 67 | 167 | 51 | 130 | 11.98% | 3 | 17.58 | 4 | 7 | 11 | 232 | 0 | 0 | 0 | 30 | 1 | 3 | 37.08% | 89 | 0 | 0 | 1 | 0 | 0.68 | 0 | 1 | |
10 | Ryan McDonagh | 72 | D | 67 | 6 | 30 | 36 | 22 | 17 | 5 | 37 | 71 | 26 | 50 | 8.45% | 103 | 22.06 | 1 | 2 | 3 | 103 | 0 | 1 | 1 | 246 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
11 | David Savard | 0 | D | 67 | 7 | 26 | 33 | 32 | 34 | 0 | 60 | 66 | 22 | 43 | 10.61% | 91 | 19.22 | 3 | 3 | 6 | 95 | 0 | 1 | 1 | 231 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
12 | Frederick Gaudreau | 0 | C/LW | 67 | 11 | 17 | 28 | 18 | 10 | 0 | 23 | 114 | 35 | 97 | 9.65% | 11 | 15.35 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 235 | 0 | 1 | 51.06% | 376 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
13 | Ryan Lindgren | 0 | D | 67 | 7 | 18 | 25 | 25 | 42 | 0 | 89 | 68 | 21 | 39 | 10.29% | 61 | 20.52 | 4 | 5 | 9 | 246 | 0 | 0 | 0 | 69 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
14 | Justin Danforth | 0 | C/RW | 67 | 6 | 10 | 16 | 10 | 16 | 0 | 41 | 63 | 25 | 57 | 9.52% | 2 | 7.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 38.10% | 42 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
15 | Will Borgen | 0 | D | 67 | 2 | 11 | 13 | 14 | 86 | 20 | 111 | 18 | 5 | 15 | 11.11% | 48 | 13.45 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 25 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
16 | Niko Mikkola | 0 | D | 66 | 5 | 7 | 12 | 19 | 60 | 0 | 162 | 50 | 19 | 28 | 10.00% | 76 | 19.48 | 1 | 3 | 4 | 141 | 0 | 0 | 0 | 158 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
17 | Justin Brazeau | 0 | LW/RW | 67 | 7 | 3 | 10 | 7 | 20 | 0 | 39 | 51 | 14 | 43 | 13.73% | 0 | 6.70 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 47.06% | 34 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
18 | Radek Faksa | 0 | C | 66 | 2 | 5 | 7 | 8 | 12 | 0 | 19 | 44 | 7 | 31 | 4.55% | 5 | 7.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 0 | 0 | 53.28% | 533 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
19 | Olli Maatta | 0 | D | 16 | 0 | 1 | 1 | -6 | 4 | 0 | 3 | 4 | 1 | 5 | 0.00% | 11 | 12.97 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 | |
Team Total or Average | 1220 | 247 | 448 | 695 | 304 | 613 | 45 | 1395 | 2513 | 731 | 1785 | 9.83% | 601 | 16.57 | 60 | 116 | 176 | 2559 | 1 | 2 | 3 | 1919 | 44 | 18 | 53.81% | 6645 | 0 | 0 | 2 | 3 | 0.69 | 3 | 24 |
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 | Filip Gustavsson | 54 | 36 | 14 | 4 | 0.916 | 2.42 | 3252 | 2 | 3 | 131 | 1557 | 0 | 1 | 0 | 0.500 | 8 | 54 | 13 | 7 | 0 | 5 | |
2 | Jonas Johansson | 12 | 8 | 1 | 3 | 0.920 | 2.11 | 740 | 2 | 2 | 26 | 325 | 0 | 1 | 0 | 0.600 | 15 | 12 | 55 | 1 | 1 | 0 | |
Team Total or Average | 66 | 44 | 15 | 7 | 0.917 | 2.36 | 3992 | 4 | 5 | 157 | 1882 | 0 | 2 | 0 | 0.565 | 23 | 66 | 68 | 8 | 1 | 5 |
Projected Total Cap Hit | 83,416,028$ |
Projected Cap Space | 4,583,972$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 69,383,388$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Hockey Club Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anze Kopitar ![]() | C | 37 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||||
Brandon Hagel ![]() | LW/RW | 26 | 2,500,000$ | 2,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ |
Charlie Coyle ![]() | C/RW | 33 | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||||
David Pastrnak ![]() | RW | 28 | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | UFA |
David Savard ![]() | D | 34 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Filip Gustavsson | G | 26 | 4,000,000$ | 4,000,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |
Frederick Gaudreau ![]() | C/LW | 31 | 3,100,000$ | 3,100,000$ | 3,100,000$ | 3,100,000$ | 3,100,000$ | 3,100,000$ | UFA | ||
Jacob Middleton ![]() | D | 29 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
Jonas Johansson ![]() | G | 29 | 775,000$ | 775,000$ | UFA | ||||||
Justin Brazeau ![]() | LW/RW | 27 | 800,000$ | 800,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
Justin Danforth ![]() | C/RW | 32 | 1,275,000$ | 1,275,000$ | 1,275,000$ | UFA | |||||
Mark Stone ![]() | RW | 32 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||||
Nick Bjugstad ![]() | C/RW | 32 | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||||
Niko Mikkola ![]() | D | 28 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||
Olli Maatta ![]() | D | 30 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Pavel Zacha ![]() | C/LW | 27 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Radek Faksa ![]() | C | 31 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Ryan Lindgren ![]() | D | 27 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |
Ryan McDonagh ![]() | D | 35 | 6,750,000$ | 6,750,000$ | 6,750,000$ | UFA | |||||
Tyler Toffoli ![]() | LW/RW | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Will Borgen ![]() | D | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Belzile ![]() | C/LW/RW | 33 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Alex Limoges ![]() | C/LW | 27 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Antoine Morand ![]() | C | 26 | 0$ | ![]() | |||||||
Arttu Ruotsalainen ![]() | C/LW/RW | 27 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Austin Watson ![]() | LW/RW | 33 | 800,000$ | 800,000$ | UFA | ||||||
Brady Lyle ![]() | D | 25 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ![]() | |||||
Carter Savoie ![]() | LW | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Dmitry Zavgorodniy ![]() | RW | 24 | 0$ | RFA | |||||||
Drake Caggiula ![]() | C/LW | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Dysin Mayo ![]() | D | 28 | 950,000$ | 950,000$ | UFA | ||||||
Emil Lilleberg ![]() | D | 24 | 775,000$ | 775,000$ | RFA | ||||||
Felix Sandstrom ![]() | G | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Frederic Allard ![]() | D | 27 | 900,000$ | 900,000$ | ![]() | ||||||
Fredrik Karlstrom ![]() | C | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Gerry Mayhew ![]() | C/RW | 32 | 800,000$ | 800,000$ | UFA | ||||||
Hardy Haman Aktell ![]() | D | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Henry Bowlby ![]() | C/LW | 28 | 800,000$ | 800,000$ | UFA | ||||||
Jakub Pour ![]() | RW | 25 | 0$ | ![]() | |||||||
Jakub Zboril ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
James Hamblin ![]() | C/LW | 25 | 850,000$ | 850,000$ | ![]() | ||||||
Jet Greaves ![]() | G | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Joe Snively ![]() | LW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
John Lethemon ![]() | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
Jonah Gadjovich ![]() | LW | 26 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Judd Caulfield ![]() | LW/RW | 24 | 837,500$ | 837,500$ | RFA | ||||||
Louka Heneault ![]() | D | 24 | 775,000$ | 775,000$ | RFA | ||||||
Lukas Svejkovsky ![]() | C/RW | 23 | 859,167$ | 859,167$ | RFA | ||||||
Marc Del Gaizo ![]() | D | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Mikael Diotte ![]() | D | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Rasmus Korhonen ![]() | G | 22 | 0$ | RFA | |||||||
Saige Weinstein ![]() | D | 19 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Trevor Kuntar ![]() | C/LW | 23 | 867,500$ | 867,500$ | RFA | ||||||
Vittorio Mancini ![]() | D | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Wyatt Kalynuk ![]() | D | 27 | 800,000$ | 800,000$ | UFA | ||||||
Yegor Sokolov ![]() | LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Zayde Wisdom ![]() | RW | 22 | 979,500$ | 979,500$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 8 | -2 | 1 | 0.250 | 6 | 10 | 16 | 0 | 0 | 4 | 2 | 0 | 1 | 84 | 30 | 32 | 18 | 7 | 63 | 15 | 18 | 46 | 11 | 3 | 27.27% | 9 | 2 | 77.78% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 55 | 40 | 45 | 14 | 24 | 13 | 33.3% | 7.1% | 87.3% | 94.4 | Unlucky | |
2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 81 | 23 | 19 | 32 | 10 | 69 | 18 | 23 | 43 | 5 | 1 | 20.00% | 8 | 1 | 87.50% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 53 | 39 | 46 | 13 | 24 | 12 | 50.0% | 6.2% | 92.8% | 98.9 | DULL | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 3 | 2 | 1 | 0 | 63 | 29 | 18 | 16 | 0 | 67 | 17 | 18 | 31 | 8 | 1 | 12.50% | 8 | 2 | 75.00% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 47 | 33 | 47 | 15 | 25 | 12 | 45.5% | 9.5% | 88.1% | 97.6 | FUN | |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 4 | 1.000 | 10 | 15 | 25 | 0 | 0 | 3 | 1 | 6 | 0 | 78 | 24 | 21 | 33 | 0 | 53 | 13 | 14 | 37 | 11 | 3 | 27.27% | 6 | 0 | 100.00% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 51 | 36 | 42 | 14 | 25 | 12 | 70.0% | 12.8% | 94.3% | 107.2 | LUCKY | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 2 | 3 | 1 | 0 | 87 | 30 | 36 | 21 | 0 | 61 | 14 | 17 | 32 | 12 | 2 | 16.67% | 5 | 1 | 80.00% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 51 | 35 | 42 | 14 | 26 | 13 | 50.0% | 6.9% | 91.8% | 98.7 | DULL | |
6 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 6 | 1 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 3 | 4 | 0 | 0 | 60 | 19 | 21 | 17 | 5 | 60 | 24 | 29 | 40 | 7 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 50 | 34 | 47 | 14 | 26 | 13 | 58.3% | 11.7% | 90.0% | 101.7 | FUN | |
7 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 8 | 3 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 4 | 2 | 5 | 0 | 111 | 41 | 31 | 39 | 0 | 98 | 20 | 33 | 79 | 14 | 1 | 7.14% | 14 | 4 | 71.43% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 82 | 58 | 60 | 21 | 36 | 18 | 71.4% | 9.9% | 91.8% | 101.7 | LUCKY | |
8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 75 | 31 | 27 | 17 | 0 | 65 | 19 | 29 | 32 | 10 | 1 | 10.00% | 11 | 0 | 100.00% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 50 | 35 | 44 | 16 | 24 | 12 | 66.7% | 6.7% | 96.9% | 103.6 | DULL | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 5 | 9 | 0 | 0 | 1 | 0 | 3 | 0 | 32 | 9 | 10 | 13 | 0 | 23 | 9 | 8 | 18 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 20 | 13 | 25 | 7 | 13 | 6 | 50.0% | 12.5% | 78.3% | 90.8 | FUN | |
10 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 7 | 12 | 0 | 1 | 4 | 0 | 0 | 2 | 67 | 26 | 17 | 21 | 8 | 37 | 14 | 22 | 42 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 50 | 35 | 48 | 15 | 26 | 12 | 62.5% | 7.5% | 91.9% | 99.4 | DULL | |
11 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 4 | 5 | 3 | 0.750 | 9 | 16 | 25 | 0 | 1 | 4 | 3 | 2 | 0 | 68 | 25 | 21 | 20 | 4 | 69 | 16 | 20 | 42 | 5 | 0 | 0.00% | 10 | 0 | 100.00% | 1 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 46 | 32 | 51 | 15 | 27 | 13 | 69.2% | 13.2% | 94.2% | 107.4 | LUCKY | |
12 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 4 | 0.500 | 12 | 23 | 35 | 0 | 0 | 4 | 6 | 2 | 0 | 142 | 55 | 40 | 47 | 0 | 112 | 53 | 37 | 88 | 14 | 2 | 14.29% | 16 | 2 | 87.50% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 90 | 61 | 96 | 30 | 52 | 25 | 58.8% | 8.5% | 92.0% | 100.4 | DULL | |
13 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 11 | 9 | 2 | 5 | 0.833 | 11 | 19 | 30 | 0 | 1 | 4 | 4 | 3 | 0 | 116 | 41 | 37 | 38 | 0 | 83 | 26 | 32 | 59 | 17 | 4 | 23.53% | 13 | 2 | 84.62% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 82 | 60 | 60 | 22 | 37 | 19 | 50.0% | 9.5% | 89.2% | 98.6 | FUN | |
14 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 6 | -2 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 69 | 16 | 22 | 27 | 10 | 56 | 21 | 16 | 48 | 11 | 3 | 27.27% | 7 | 2 | 71.43% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 52 | 36 | 46 | 15 | 26 | 13 | 20.0% | 5.8% | 89.3% | 95.1 | Unlucky | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 29 | 4 | 13 | 12 | 0 | 23 | 10 | 6 | 20 | 9 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 26 | 19 | 20 | 7 | 12 | 6 | 33.3% | 6.9% | 82.6% | 89.5 | Unlucky | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 3 | 4 | 1 | 0 | 64 | 14 | 36 | 14 | 0 | 60 | 10 | 18 | 42 | 9 | 2 | 22.22% | 8 | 2 | 75.00% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 44 | 29 | 49 | 15 | 26 | 13 | 85.7% | 12.5% | 95.0% | 107.5 | LUCKY | |
17 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 10 | 10 | 0 | 3 | 0.500 | 10 | 16 | 26 | 0 | 0 | 4 | 3 | 3 | 0 | 110 | 35 | 40 | 33 | 5 | 80 | 21 | 20 | 81 | 9 | 1 | 11.11% | 9 | 2 | 77.78% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 74 | 51 | 70 | 21 | 39 | 19 | 52.9% | 9.1% | 87.5% | 96.6 | FUN | |
18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 1 | 3 | 2 | 0 | 68 | 25 | 24 | 19 | 0 | 53 | 14 | 14 | 45 | 9 | 1 | 11.11% | 7 | 0 | 100.00% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 48 | 34 | 46 | 14 | 24 | 12 | 45.5% | 8.8% | 88.7% | 97.5 | Unlucky | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 1 | 0 | 0 | 39 | 20 | 6 | 13 | 0 | 31 | 10 | 8 | 24 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 24 | 17 | 22 | 8 | 12 | 6 | 80.0% | 10.3% | 96.8% | 107.0 | LUCKY | |
20 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 0.667 | 11 | 22 | 33 | 0 | 0 | 3 | 6 | 2 | 0 | 103 | 26 | 40 | 37 | 0 | 111 | 28 | 30 | 76 | 14 | 2 | 14.29% | 15 | 4 | 73.33% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 74 | 51 | 69 | 20 | 36 | 19 | 75.0% | 10.7% | 93.7% | 104.4 | LUCKY | |
21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 40 | 15 | 7 | 18 | 0 | 24 | 8 | 4 | 19 | 5 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 25 | 17 | 22 | 7 | 12 | 6 | 100.0% | 12.5% | 95.8% | 108.3 | LUCKY | |
22 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 1.000 | 11 | 21 | 32 | 0 | 0 | 3 | 2 | 5 | 1 | 61 | 23 | 17 | 20 | 1 | 74 | 21 | 16 | 34 | 9 | 5 | 55.56% | 7 | 2 | 71.43% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 50 | 35 | 43 | 13 | 26 | 13 | 54.5% | 18.0% | 90.5% | 108.6 | FUN | |
23 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 6 | 7 | 6 | 1.000 | 13 | 21 | 34 | 0 | 0 | 3 | 3 | 7 | 0 | 133 | 35 | 43 | 55 | 0 | 78 | 21 | 29 | 59 | 18 | 6 | 33.33% | 12 | 0 | 100.00% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 77 | 54 | 65 | 22 | 37 | 18 | 53.8% | 9.8% | 92.3% | 102.1 | LUCKY | |
24 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 4 | 0.667 | 10 | 19 | 29 | 0 | 0 | 2 | 4 | 4 | 0 | 104 | 32 | 27 | 45 | 0 | 81 | 24 | 26 | 81 | 13 | 3 | 23.08% | 13 | 1 | 92.31% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 75 | 52 | 65 | 21 | 38 | 19 | 53.8% | 9.6% | 91.4% | 101.0 | LUCKY | |
25 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 8 | 3 | 4 | 0.667 | 11 | 21 | 32 | 0 | 0 | 5 | 3 | 3 | 0 | 107 | 36 | 35 | 36 | 0 | 74 | 23 | 31 | 55 | 18 | 3 | 16.67% | 13 | 1 | 92.31% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 77 | 53 | 63 | 21 | 39 | 20 | 53.3% | 10.3% | 89.2% | 99.5 | FUN | |
26 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 0 | 2 | 3 | 1 | 62 | 11 | 28 | 21 | 2 | 61 | 27 | 18 | 42 | 4 | 1 | 25.00% | 8 | 0 | 100.00% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 46 | 31 | 50 | 14 | 25 | 12 | 62.5% | 9.7% | 95.1% | 104.8 | LUCKY | |
27 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 4 | 1.000 | 9 | 16 | 25 | 0 | 1 | 3 | 3 | 3 | 0 | 61 | 13 | 20 | 28 | 0 | 66 | 28 | 12 | 32 | 10 | 3 | 30.00% | 6 | 0 | 100.00% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 44 | 30 | 49 | 16 | 26 | 13 | 66.7% | 14.8% | 95.5% | 110.2 | LUCKY | |
28 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 16 | 25 | 0 | 1 | 0 | 5 | 4 | 0 | 87 | 26 | 33 | 28 | 0 | 74 | 18 | 28 | 56 | 6 | 1 | 16.67% | 14 | 3 | 78.57% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 66 | 44 | 75 | 23 | 37 | 16 | 61.5% | 10.3% | 89.2% | 99.5 | FUN | |
29 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 8 | 6 | 6 | 1.000 | 14 | 26 | 40 | 0 | 0 | 7 | 6 | 1 | 0 | 119 | 47 | 46 | 26 | 0 | 70 | 22 | 20 | 56 | 17 | 6 | 35.29% | 7 | 1 | 85.71% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 78 | 56 | 62 | 21 | 38 | 20 | 53.3% | 11.8% | 88.6% | 100.3 | FUN | |
30 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 2 | 11 | 4 | 1.000 | 13 | 24 | 37 | 0 | 0 | 5 | 0 | 8 | 0 | 89 | 29 | 25 | 35 | 0 | 58 | 16 | 22 | 43 | 13 | 5 | 38.46% | 11 | 1 | 90.91% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 52 | 37 | 42 | 15 | 24 | 12 | 88.9% | 14.6% | 96.6% | 111.2 | LUCKY | |
_Vs Division | 20 | 12 | 7 | 0 | 0 | 0 | 0 | 1 | 70 | 52 | 18 | 25 | 0.625 | 70 | 126 | 196 | 0 | 0 | 24 | 24 | 22 | 0 | 735 | 232 | 242 | 259 | 5 | 576 | 176 | 186 | 458 | 96 | 15 | 15.63% | 81 | 13 | 83.95% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 503 | 351 | 447 | 146 | 254 | 129 | 58.5% | 9.5% | 91.0% | 100.5 | FUN | |
_Vs Conference | 40 | 25 | 11 | 0 | 0 | 1 | 0 | 3 | 145 | 103 | 42 | 54 | 0.675 | 145 | 263 | 408 | 0 | 2 | 49 | 50 | 46 | 1 | 1467 | 467 | 500 | 490 | 22 | 1121 | 328 | 366 | 889 | 193 | 42 | 21.76% | 163 | 27 | 83.44% | 0 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 1012 | 708 | 895 | 296 | 507 | 257 | 57.5% | 9.9% | 90.8% | 100.7 | FUN | |
_Since Last GM Reset | 67 | 42 | 15 | 0 | 2 | 1 | 1 | 6 | 243 | 165 | 78 | 97 | 0.724 | 243 | 436 | 679 | 0 | 5 | 85 | 79 | 76 | 5 | 2409 | 790 | 792 | 799 | 52 | 1934 | 580 | 618 | 1402 | 299 | 60 | 20.07% | 266 | 36 | 86.47% | 1 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 1676 | 1170 | 1526 | 499 | 854 | 431 | 58.7% | 10.1% | 91.5% | 101.6 | LUCKY | |
Total | 67 | 42 | 15 | 0 | 2 | 1 | 1 | 6 | 243 | 165 | 78 | 97 | 0.724 | 243 | 436 | 679 | 0 | 5 | 85 | 79 | 76 | 5 | 2409 | 790 | 792 | 799 | 52 | 1934 | 580 | 618 | 1402 | 299 | 60 | 20.07% | 266 | 36 | 86.47% | 1 | 1412 | 2617 | 53.95% | 1188 | 2271 | 52.31% | 591 | 1063 | 55.60% | 1676 | 1170 | 1526 | 499 | 854 | 431 | 58.7% | 10.1% | 91.5% | 101.6 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 2617 |
Neutral Zone Start | 1063 |
Defensive Zone Start | 2271 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3191 |
Faceoffs Lost | 2760 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.8 | 9.57 |
2nd Period | 23.6 | 20.31 |
3rd Period | 35.5 | 30.68 |
Overtime | 36.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 3.6 | 2.67 |
Overtime | 3.7 | 2.83 |
Even Strenght Goal | 182 |
---|---|
PP Goal | 60 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 24 | 21 |
Lost | 6 | 9 |
Overtime Lost | 3 | 4 |
PP Attempt | 299 |
---|---|
PP Goal | 60 |
PK Attempt | 266 |
PK Goal Against | 36 |
Home | |
---|---|
Shots For | 36.0 |
Shots Against | 28.9 |
Goals For | 3.6 |
Goals Against | 2.5 |
Hits | 20.9 |
Shots Blocked | 8.7 |
Pim | 9.2 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-10 | @ | Blackhawks2,Hockey Club5 | RECAP | |||||||||||
2024-10-12 | @ | Hockey Club4,Islanders2 | RECAP | |||||||||||
2024-10-14 | @ | Hockey Club3,Rangers1 | RECAP | |||||||||||
2024-10-16 | @ | Hockey Club3,Devils2 | RECAP | |||||||||||
2024-10-18 | @ | Hockey Club4,Ducks3 | RECAP | |||||||||||
2024-10-21 | @ | Bruins4,Hockey Club5 | RECAP | |||||||||||
2024-10-24 | @ | Senators2,Hockey Club7 | RECAP | |||||||||||
2024-10-26 | @ | Avalanche3,Hockey Club2 | RECAP | |||||||||||
2024-10-28 | @ | Hockey Club2,Kings3 | RECAP | |||||||||||
2024-10-30 | @ | Sharks3,Hockey Club4 | RECAP | |||||||||||
2024-11-01 | @ | Flames3,Hockey Club2 | RECAP | |||||||||||
2024-11-04 | @ | Hockey Club5,Golden Knights3 | RECAP | |||||||||||
2024-11-07 | @ | Hockey Club5,Jets1 | RECAP | |||||||||||
2024-11-09 | @ | Hockey Club1,Blues3 | RECAP | |||||||||||
2024-11-11 | @ | Hockey Club2,Predators4 | RECAP | |||||||||||
2024-11-15 | @ | Hurricanes3,Hockey Club5 | RECAP | |||||||||||
2024-11-17 | @ | Golden Knights2,Hockey Club3 | RECAP | |||||||||||
2024-11-20 | @ | Capitals4,Hockey Club3 (SO) | RECAP | |||||||||||
2024-11-23 | @ | Hockey Club1,Bruins2 | RECAP | |||||||||||
2024-11-25 | @ | Hockey Club4,Penguins3 | RECAP | |||||||||||
2024-11-26 | @ | Hockey Club3,Maple Leafs2 (OT) | RECAP | |||||||||||
2024-11-28 | @ | Hockey Club4,Canadiens3 (SO) | RECAP | |||||||||||
2024-12-01 | @ | Oilers2,Hockey Club5 | RECAP | |||||||||||
2024-12-02 | @ | Hockey Club6,Golden Knights3 | RECAP | |||||||||||
2024-12-04 | @ | Stars4,Hockey Club3 | RECAP | |||||||||||
2024-12-09 | @ | Hockey Club4,Sabres1 | RECAP | |||||||||||
2024-12-10 | @ | Hockey Club3,Flyers4 (SO) | RECAP | |||||||||||
2024-12-12 | @ | Wild2,Hockey Club3 | RECAP | |||||||||||
2024-12-14 | @ | Hockey Club4,Avalanche2 | RECAP | |||||||||||
2024-12-16 | @ | Hockey Club2,Sharks5 | RECAP | |||||||||||
2024-12-20 | @ | Canucks3,Hockey Club4 | RECAP | |||||||||||
2024-12-22 | @ | Hockey Club1,Wild2 | RECAP | |||||||||||
2024-12-24 | @ | Ducks2,Hockey Club5 | RECAP | |||||||||||
2024-12-25 | @ | Stars2,Hockey Club4 | RECAP | |||||||||||
2024-12-29 | @ | Avalanche3,Hockey Club5 | RECAP | |||||||||||
2025-01-01 | @ | Hockey Club6,Kraken1 | RECAP | |||||||||||
2025-01-02 | @ | Hockey Club3,Oilers1 | RECAP | |||||||||||
2025-01-04 | @ | Hockey Club4,Flames5 (SO) | RECAP | |||||||||||
2025-01-06 | @ | Hockey Club4,Stars2 | RECAP | |||||||||||
2025-01-10 | @ | Panthers1,Hockey Club5 | RECAP | |||||||||||
2025-01-12 | @ | Sharks0,Hockey Club3 | RECAP | |||||||||||
2025-01-13 | @ | Islanders3,Hockey Club2 | RECAP | |||||||||||
2025-01-16 | @ | Canadiens0,Hockey Club1 | RECAP | |||||||||||
2025-01-18 | @ | Rangers1,Hockey Club2 | RECAP | |||||||||||
2025-01-20 | @ | Blues6,Hockey Club5 (SO) | RECAP | |||||||||||
2025-01-22 | @ | Jets2,Hockey Club4 | RECAP | |||||||||||
2025-01-25 | @ | Hockey Club1,Wild2 | RECAP | |||||||||||
2025-01-26 | @ | Hockey Club4,Jets3 | RECAP | |||||||||||
2025-01-28 | @ | Hockey Club3,Senators1 | RECAP | |||||||||||
2025-01-31 | @ | Penguins0,Hockey Club5 | RECAP | |||||||||||
2025-02-02 | @ | Blue Jackets3,Hockey Club6 | RECAP | |||||||||||
2025-02-04 | @ | Blues1,Hockey Club4 | RECAP | |||||||||||
2025-02-06 | @ | Flyers1,Hockey Club2 | RECAP | |||||||||||
2025-02-08 | @ | Hockey Club5,Blue Jackets4 (OT) | RECAP | |||||||||||
2025-02-10 | @ | Hockey Club2,Hurricanes3 (SO) | RECAP | |||||||||||
2025-02-11 | @ | Hockey Club6,Capitals0 | RECAP | |||||||||||
2025-02-24 | @ | Hockey Club2,Kings3 (SO) | RECAP | |||||||||||
2025-02-25 | @ | Canucks6,Hockey Club5 (OT) | RECAP | |||||||||||
2025-02-27 | @ | Blackhawks1,Hockey Club4 | RECAP | |||||||||||
2025-03-01 | @ | Wild3,Hockey Club7 | RECAP | |||||||||||
2025-03-03 | @ | Devils6,Hockey Club3 | RECAP | |||||||||||
2025-03-08 | @ | Hockey Club4,Red Wings5 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-09 | @ | Hockey Club2,Blackhawks4 | RECAP | |||||||||||
2025-03-12 | @ | Maple Leafs1,Hockey Club3 | RECAP | |||||||||||
2025-03-14 | @ | Ducks2,Hockey Club1 | RECAP | |||||||||||
2025-03-16 | @ | Hockey Club7,Kraken1 | RECAP | |||||||||||
2025-03-18 | @ | Hockey Club2,Canucks0 | RECAP | |||||||||||
2025-03-20 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-24 | @ | |||||||||||||
2025-03-26 | @ | |||||||||||||
2025-03-29 | @ | |||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
85,950,000$ | 0$ | 83,416,028$ | 2,050,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Gila River Arena | |
City | Utah | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 115$ | 82$ | 43$ | 25$ | 200$ |
Attendance | 150221 | 106524 | 47794 | 126961 | 31418 |
Attendance PCT | 75.87% | 64.56% | 72.42% | 96.18% | 95.21% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
8 | 14028 - 77.93% | 1,478,185$ | 48,780,094$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
85,950,000$ | 85,950,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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70,220,116$ | 438,520$ | 69,383,388$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
11,825,477$ | 32 | 443,622$ | 14,195,904$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
14,502,138$ | 85,950,000$ | 31,866,000$ | 29,189,339$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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2025 | ||||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Andrei Loshko | 2023 | 108 | |||
Antoine Dorion | 2024 | 178 | |||
Casper Nassen | 2023 | 222 | |||
Cooper Foster | 2023 | 186 | |||
Dylan Mackinnon | 2023 | 98 | |||
Ivan Vorobyov | 2021 | 207 | |||
Jakub Konecny | |||||
Joona Vaisanen | 2024 | 168 | |||
Josh Pillar | 2021 | 143 | |||
Landon Kosior | 2020 | 121 | |||
Loke Johansson | 2024 | 154 | |||
Melvin Strahl | 2023 | 134 | |||
Michael Emerson | 2023 | 189 | |||
Nate Misskey | 2024 | 158 | |||
Oliver Johansson | 2021 | 97 | |||
Olof Glifford | 2023 | 144 | |||
Patrik Hamrla | 2021 | 89 | |||
Philip Svedeback | 2021 | 124 | |||
Tyson Galloway | 2021 | 161 | |||
William Rousseau | 2023 | 218 |
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