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Full Scoreboard »» |
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Full Scoreboard »» |
Arizona Coyotes 42-20-7, 91pts · 4th in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 88 | RW | 100.00 | 69 | 33 | 80 | 93 | 77 | 87 | 90 | 86 | 59 | 86 | 96 | 64 | 91 | 71 | 69 | 0 | 79 | 94 | 26 | 6,666,666$/9yrs | |||
![]() | 37 | C | 99.00 | 70 | 33 | 87 | 79 | 77 | 86 | 88 | 81 | 98 | 82 | 81 | 84 | 81 | 90 | 99 | 0 | 80 | 91 | 37 | 6,500,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 70 | 33 | 87 | 80 | 80 | 87 | 90 | 82 | 90 | 88 | 76 | 84 | 79 | 74 | 73 | 0 | 80 | 90 | 28 | 2,750,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 64 | 34 | 91 | 80 | 87 | 87 | 83 | 81 | 55 | 81 | 83 | 82 | 82 | 78 | 91 | 0 | 80 | 90 | 30 | 9,500,000$/5yrs | |||
![]() | 38 | LW/RW | 100.00 | 65 | 32 | 77 | 86 | 73 | 86 | 90 | 81 | 59 | 80 | 83 | 88 | 82 | 67 | 65 | 0 | 80 | 90 | 24 | 2,500,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 72 | 33 | 81 | 84 | 80 | 86 | 90 | 78 | 60 | 74 | 86 | 75 | 82 | 70 | 68 | 0 | 80 | 88 | 26 | 3,850,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 66 | 33 | 87 | 81 | 78 | 82 | 90 | 80 | 60 | 80 | 83 | 65 | 81 | 78 | 76 | 0 | 80 | 88 | 30 | 4,250,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 75 | 42 | 78 | 74 | 93 | 83 | 90 | 77 | 61 | 75 | 82 | 67 | 80 | 81 | 91 | 0 | 80 | 86 | 32 | 7,000,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 62 | 32 | 84 | 75 | 71 | 86 | 83 | 76 | 78 | 73 | 81 | 72 | 78 | 75 | 73 | 0 | 80 | 84 | 29 | 3,000,000$/2yrs | |||
![]() | 18 | C/RW | 100.00 | 77 | 42 | 80 | 73 | 77 | 79 | 87 | 69 | 80 | 71 | 72 | 80 | 71 | 72 | 70 | 0 | 82 | 83 | 28 | 1,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 33 | 85 | 74 | 76 | 81 | 78 | 71 | 60 | 67 | 78 | 69 | 75 | 73 | 71 | 0 | 42 | 81 | 28 | 1,750,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 58 | 33 | 87 | 66 | 75 | 78 | 90 | 70 | 73 | 70 | 71 | 73 | 70 | 82 | 80 | 0 | 80 | 80 | 33 | 850,000$/2yrs | |||
![]() | 72 | D | 100.00 | 73 | 33 | 91 | 69 | 84 | 92 | 86 | 75 | 30 | 75 | 60 | 94 | 68 | 82 | 81 | 0 | 77 | 89 | 33 | 6,750,000$/4yrs | |||
![]() | 0 | D | 100.00 | 65 | 34 | 74 | 67 | 90 | 91 | 83 | 72 | 30 | 74 | 60 | 89 | 66 | 80 | 77 | 0 | 73 | 85 | 32 | 3,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 79 | 64 | 58 | 65 | 87 | 86 | 87 | 69 | 30 | 67 | 63 | 89 | 66 | 71 | 66 | 0 | 83 | 83 | 27 | 1,000,000$/2yrs | |||
![]() | 70 | D | 100.00 | 81 | 34 | 83 | 61 | 89 | 85 | 88 | 69 | 30 | 70 | 60 | 88 | 64 | 73 | 71 | 0 | 68 | 83 | 28 | 5,100,000$/5yrs | |||
![]() | 0 | D | 100.00 | 77 | 35 | 75 | 64 | 74 | 88 | 89 | 70 | 30 | 70 | 60 | 87 | 65 | 67 | 64 | 0 | 83 | 83 | 25 | 2,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 88 | 38 | 72 | 58 | 82 | 86 | 89 | 64 | 30 | 61 | 62 | 91 | 63 | 66 | 63 | 0 | 52 | 80 | 24 | 1,000,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 90.27 | 66 | 33 | 94 | 60 | 75 | 90 | 82 | 69 | 30 | 70 | 62 | 91 | 65 | 81 | 80 | 0 | 70 | 84 | 32 | 4,600,000$/3yrs | |||
TEAM AVERAGE | 99.42 | 71 | 36 | 82 | 73 | 80 | 86 | 87 | 75 | 55 | 74 | 74 | 81 | 74 | 75 | 75 | 0 | 75 | 86 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 87 | 95 | 82 | 84 | 87 | 87 | 89 | 92 | 91 | 90 | 89 | 75 | 79 | 0 | 79 | 91 | 29 | 6,400,000$/5yrs |
![]() | 0 | 99.00 | 75 | 73 | 71 | 76 | 85 | 80 | 86 | 85 | 89 | 85 | 86 | 72 | 76 | 0 | 79 | 84 | 27 | 3,200,000$/4yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 81 | 84 | 77 | 80 | 86 | 84 | 88 | 89 | 90 | 88 | 88 | 74 | 78 | 0 | 79 | 88 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Tortorella | 99 | 69 | 76 | 69 | 84 | 74 | 69 | USA | 47 | 2 | 1,000,000$ |
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 | Patrice Bergeron | 37 | C | 69 | 20 | 37 | 57 | 18 | 12 | 0 | 82 | 246 | 65 | 177 | 8.13% | 7 | 19.68 | 5 | 12 | 17 | 224 | 0 | 0 | 0 | 139 | 3 | 1 | 57.40% | 1838 | 0 | 0 | 2 | 1 | 0.84 | 3 | 7 | |
2 | David Pastrnak | 88 | RW | 69 | 23 | 32 | 55 | 11 | 43 | 5 | 78 | 234 | 66 | 152 | 9.83% | 5 | 17.22 | 6 | 13 | 19 | 224 | 0 | 0 | 0 | 0 | 5 | 1 | 40.74% | 81 | 0 | 0 | 0 | 0 | 0.93 | 1 | 7 | |
3 | Chandler Stephenson | 0 | C/LW | 69 | 17 | 35 | 52 | 8 | 10 | 0 | 64 | 181 | 50 | 142 | 9.39% | 11 | 16.59 | 4 | 13 | 17 | 195 | 0 | 0 | 0 | 47 | 2 | 2 | 54.30% | 1350 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 | |
4 | Mark Stone | 0 | RW | 69 | 23 | 28 | 51 | 20 | 8 | 0 | 32 | 253 | 85 | 186 | 9.09% | 7 | 17.04 | 10 | 6 | 16 | 236 | 0 | 0 | 0 | 7 | 7 | 1 | 47.37% | 95 | 0 | 0 | 0 | 0 | 0.87 | 0 | 0 | |
5 | Brandon Hagel | 38 | LW/RW | 69 | 21 | 21 | 42 | 22 | 18 | 0 | 60 | 214 | 50 | 138 | 9.81% | 10 | 15.08 | 3 | 2 | 5 | 94 | 1 | 0 | 1 | 55 | 4 | 0 | 38.82% | 85 | 0 | 0 | 1 | 0 | 0.81 | 0 | 0 | |
6 | Ryan McDonagh | 72 | D | 69 | 11 | 26 | 37 | 1 | 45 | 5 | 102 | 98 | 32 | 59 | 11.22% | 82 | 22.93 | 5 | 6 | 11 | 189 | 0 | 0 | 0 | 184 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
7 | Adrian Kempe | 0 | C/LW/RW | 69 | 13 | 22 | 35 | 15 | 22 | 0 | 115 | 210 | 42 | 146 | 6.19% | 7 | 16.80 | 3 | 8 | 11 | 221 | 0 | 0 | 0 | 88 | 2 | 1 | 38.19% | 432 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
8 | Tyler Toffoli | 0 | LW/RW | 69 | 16 | 18 | 34 | 5 | 26 | 0 | 63 | 137 | 33 | 113 | 11.68% | 6 | 13.48 | 4 | 6 | 10 | 138 | 0 | 0 | 0 | 0 | 5 | 1 | 43.75% | 64 | 0 | 0 | 0 | 0 | 0.73 | 1 | 5 | |
9 | Anders Lee | 0 | LW | 69 | 13 | 16 | 29 | 18 | 36 | 0 | 123 | 147 | 38 | 110 | 8.84% | 6 | 14.56 | 0 | 0 | 0 | 91 | 0 | 0 | 0 | 89 | 1 | 1 | 41.09% | 129 | 0 | 0 | 1 | 0 | 0.58 | 0 | 0 | |
10 | Evan Rodrigues | 0 | C/LW/RW | 69 | 10 | 19 | 29 | 4 | 20 | 0 | 41 | 109 | 31 | 76 | 9.17% | 0 | 14.58 | 1 | 3 | 4 | 187 | 0 | 0 | 0 | 0 | 2 | 0 | 51.33% | 487 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
11 | Rasmus Ristolainen | 70 | D | 60 | 3 | 24 | 27 | 15 | 72 | 0 | 156 | 50 | 16 | 36 | 6.00% | 74 | 21.55 | 1 | 5 | 6 | 124 | 0 | 0 | 0 | 150 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
12 | Ryan Lindgren | 0 | D | 68 | 5 | 20 | 25 | 12 | 54 | 0 | 142 | 42 | 10 | 19 | 11.90% | 71 | 15.82 | 2 | 0 | 2 | 12 | 0 | 0 | 0 | 161 | 0 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
13 | David Savard | 0 | D | 71 | 0 | 24 | 24 | 19 | 44 | 0 | 113 | 39 | 8 | 19 | 0.00% | 81 | 18.38 | 0 | 0 | 0 | 6 | 0 | 1 | 1 | 198 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
14 | Jacob Middleton | 0 | D | 69 | 4 | 18 | 22 | 10 | 131 | 35 | 153 | 37 | 12 | 35 | 10.81% | 65 | 16.33 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 132 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
15 | Sam Gagner | 0 | C/LW/RW | 68 | 6 | 9 | 15 | -4 | 2 | 0 | 17 | 107 | 20 | 61 | 5.61% | 5 | 12.87 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 234 | 1 | 0 | 55.56% | 72 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
16 | TJ Brodie | 0 | D | 69 | 4 | 11 | 15 | 3 | 10 | 0 | 35 | 39 | 7 | 27 | 10.26% | 75 | 18.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 109 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
17 | Andreas Athanasiou | 0 | LW/RW | 67 | 6 | 7 | 13 | 3 | 0 | 0 | 7 | 76 | 16 | 55 | 7.89% | 2 | 7.90 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 3 | 1 | 0 | 41.94% | 31 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
18 | Sam Lafferty | 18 | C/RW | 23 | 2 | 2 | 4 | -7 | 20 | 0 | 30 | 29 | 10 | 18 | 6.90% | 1 | 9.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 1 | 48.85% | 174 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
19 | Simon Benoit | 0 | D | 9 | 0 | 2 | 2 | 7 | 31 | 5 | 24 | 1 | 2 | 1 | 0.00% | 15 | 15.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
Team Total or Average | 1194 | 197 | 371 | 568 | 180 | 604 | 50 | 1437 | 2249 | 593 | 1570 | 8.76% | 530 | 16.27 | 44 | 74 | 118 | 1968 | 1 | 1 | 2 | 1643 | 37 | 11 | 52.36% | 4838 | 0 | 0 | 4 | 1 | 0.58 | 5 | 19 |
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 | John Gibson | 40 | 24 | 12 | 4 | 0.916 | 2.33 | 2418 | 2 | 4 | 94 | 1123 | 0 | 3 | 2 | 0.600 | 10 | 40 | 29 | 6 | 3 | 2 | |
2 | Kevin Lankinen | 29 | 18 | 8 | 3 | 0.915 | 2.22 | 1759 | 0 | 2 | 65 | 762 | 0 | 0 | 0 | 0.889 | 9 | 29 | 40 | 3 | 0 | 0 | |
Team Total or Average | 69 | 42 | 20 | 7 | 0.916 | 2.28 | 4178 | 2 | 6 | 159 | 1885 | 0 | 3 | 2 | 0.737 | 19 | 69 | 69 | 9 | 3 | 2 |
Projected Total Cap Hit | 80,752,116$ |
Projected Cap Space | 1,747,884$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 69,528,297$ |
Players In Salary Cap | 21 |
LTIR Players | 1 |
Coyotes Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Kempe | C/LW/RW | 26 | 3,850,000$ | 3,850,000$ | 3,850,000$ | ||||||
Anders Lee | LW | 32 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||
Andreas Athanasiou | LW/RW | 28 | 1,750,000$ | 1,750,000$ | UFA | ||||||
Brandon Hagel | LW/RW | 24 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | |||||
Chandler Stephenson | C/LW | 28 | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||||
David Pastrnak | RW | 26 | 6,666,666$ | 6,666,666$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ |
David Savard | D | 32 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Evan Rodrigues | C/LW/RW | 29 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Jacob Middleton ![]() | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
John Gibson | G | 29 | 6,400,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | UFA | ||
Kevin Lankinen | G | 27 | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA | |||
Mark Stone | RW | 30 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||
Patrice Bergeron | C | 37 | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||||
Rasmus Ristolainen | D | 28 | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | UFA | ||
Ryan Lindgren | D | 25 | 2,000,000$ | 2,000,000$ | 3,000,000$ | ||||||
Ryan McDonagh | D | 33 | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | UFA | |||
Sam Gagner ![]() | C/LW/RW | 33 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Sam Lafferty ![]() | C/RW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Simon Benoit ![]() | D | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
TJ Brodie ![]() | D | 32 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | UFA | ||||
Tyler Toffoli | LW/RW | 30 | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Dell ![]() ![]() | G | 33 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Antoine Morand ![]() | C | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Arttu Ruotsalainen ![]() | C/LW/RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | ||||
Brady Lyle ![]() | D | 23 | 800,000$ | 800,000$ | RFA | ||||||
Carl Dahlstrom ![]() | D | 28 | 850,000$ | 850,000$ | UFA | ||||||
Carter Savoie ![]() | LW | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Derick Brassard ![]() | C/LW | 35 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Dmitry Zavgorodniy ![]() | RW | 22 | 850,000$ | 850,000$ | RFA | ||||||
Egor Sokolov ![]() | LW/RW | 22 | 818,333$ | 818,333$ | RFA | ||||||
Felix Sandstrom ![]() ![]() | G | 26 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Frederic Allard ![]() | D | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Henry Bowlby ![]() | C/LW | 26 | 850,000$ | 850,000$ | ![]() | ||||||
Jakub Pour ![]() | RW | 23 | 842,500$ | 842,500$ | RFA | ||||||
Jakub Zboril ![]() | D | 26 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
James Hamblin ![]() | C/LW | 23 | 807,500$ | 807,500$ | 807,500$ | ![]() | |||||
Jeremy Poirier ![]() | D | 20 | 823,333$ | 823,333$ | 823,333$ | 823,333$ | RFA | ||||
Jesper Froden ![]() | RW | 28 | 900,000$ | 900,000$ | UFA | ||||||
Jet Greaves ![]() | G | 21 | 758,333$ | 758,333$ | 758,333$ | RFA | |||||
John Leonard ![]() | LW | 24 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
John Lethemon ![]() | G | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Jonny Brodzinski ![]() | C/RW | 29 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Louka Heneault ![]() | D | 22 | 750,000$ | 750,000$ | RFA | ||||||
Lukas Svejkovsky ![]() | C/RW | 21 | 859,167$ | 859,167$ | 859,167$ | 859,167$ | RFA | ||||
Marc Del Gaizo ![]() | D | 23 | 750,000$ | 750,000$ | RFA | ||||||
Marian Studenic ![]() ![]() | LW/RW | 24 | 850,000$ | 850,000$ | RFA | ||||||
Mark Pysyk ![]() | D | 31 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Maxim Letunov ![]() | C | 27 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Niko Mikkola ![]() | D | 26 | 788,000$ | 788,000$ | 788,000$ | UFA | |||||
Pierre-Edouard Bellemare ![]() | C/LW | 38 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Rasmus Korhonen ![]() | G | 20 | 750,000$ | 750,000$ | RFA | ||||||
Robert Hagg ![]() | D | 28 | 800,000$ | 800,000$ | UFA | ||||||
Ryan Carpenter ![]() | C/LW/RW | 32 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Tucker Poolman ![]() | D | 29 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Tyler Lewington ![]() | D | 28 | 800,000$ | 800,000$ | UFA | ||||||
William Trudeau ![]() | D | 20 | 856,667$ | 856,667$ | 856,667$ | 856,667$ | RFA | ||||
Wyatt Kalynuk ![]() | D | 25 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ![]() | |||||
Zac Dalpe ![]() | C | 33 | 800,000$ | 800,000$ | UFA | ||||||
Zayde Wisdom ![]() | RW | 20 | 820,000$ | 820,000$ | 820,000$ | 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 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | -2 | 2 | 0.333 | 10 | 18 | 28 | 0 | 0 | 2 | 5 | 3 | 0 | 96 | 33 | 41 | 22 | 0 | 103 | 32 | 26 | 67 | 8 | 2 | 25.00% | 13 | 2 | 84.62% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 68 | 46 | 72 | 22 | 38 | 18 | 44.4% | 10.4% | 88.3% | 98.8 | FUN | |
2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 2 | 3 | 1 | 0 | 54 | 20 | 19 | 15 | 0 | 54 | 9 | 12 | 37 | 14 | 2 | 14.29% | 6 | 0 | 100.00% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 48 | 33 | 45 | 16 | 26 | 13 | 66.7% | 11.1% | 96.3% | 107.4 | LUCKY | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 5 | 2 | 0 | 0 | 80 | 30 | 29 | 21 | 0 | 73 | 20 | 14 | 45 | 9 | 1 | 11.11% | 6 | 2 | 66.67% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 51 | 37 | 43 | 14 | 24 | 12 | 50.0% | 8.8% | 89.0% | 97.8 | Unlucky | |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 3 | 3 | 3 | 0 | 80 | 26 | 19 | 35 | 0 | 49 | 14 | 12 | 47 | 6 | 1 | 16.67% | 6 | 1 | 83.33% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 51 | 36 | 43 | 13 | 24 | 13 | 80.0% | 11.3% | 93.9% | 105.1 | LUCKY | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 0 | 3 | 0 | 45 | 16 | 9 | 20 | 0 | 45 | 25 | 16 | 42 | 7 | 1 | 14.29% | 7 | 1 | 85.71% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 40 | 26 | 53 | 15 | 26 | 12 | 37.5% | 8.9% | 86.7% | 95.6 | Unlucky | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 10 | 16 | 0 | 1 | 3 | 0 | 3 | 0 | 79 | 17 | 31 | 31 | 0 | 55 | 14 | 8 | 47 | 7 | 1 | 14.29% | 4 | 0 | 100.00% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 53 | 38 | 42 | 13 | 24 | 12 | 71.4% | 7.6% | 96.4% | 104.0 | DULL | |
7 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 12 | 4 | 8 | 3 | 0.750 | 12 | 21 | 33 | 0 | 0 | 6 | 5 | 1 | 0 | 94 | 34 | 26 | 30 | 7 | 41 | 14 | 6 | 50 | 7 | 3 | 42.86% | 3 | 0 | 100.00% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 58 | 43 | 41 | 12 | 25 | 13 | 69.2% | 12.8% | 90.2% | 103.0 | FUN | |
8 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 3 | 1 | 1 | 89 | 33 | 22 | 32 | 2 | 59 | 12 | 14 | 51 | 6 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 54 | 38 | 42 | 14 | 26 | 13 | 66.7% | 6.7% | 89.8% | 96.6 | Unlucky | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 67 | 24 | 20 | 23 | 0 | 64 | 12 | 31 | 43 | 9 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 48 | 34 | 48 | 14 | 23 | 11 | 25.0% | 3.0% | 90.6% | 93.6 | Unlucky | |
10 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 5 | 2 | 3 | 0.750 | 7 | 14 | 21 | 0 | 0 | 5 | 1 | 1 | 0 | 59 | 21 | 17 | 19 | 2 | 59 | 9 | 29 | 30 | 6 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 50 | 35 | 48 | 16 | 25 | 11 | 77.8% | 11.9% | 91.5% | 103.4 | LUCKY | |
11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 2 | 6 | 0 | 0 | 78 | 27 | 25 | 26 | 0 | 37 | 6 | 2 | 43 | 8 | 1 | 12.50% | 1 | 0 | 100.00% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 56 | 41 | 40 | 13 | 23 | 11 | 63.6% | 10.3% | 89.2% | 99.4 | FUN | |
12 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 5 | 3 | 7 | 0.875 | 8 | 16 | 24 | 0 | 1 | 5 | 2 | 1 | 0 | 122 | 34 | 33 | 54 | 4 | 106 | 27 | 25 | 74 | 16 | 1 | 6.25% | 8 | 0 | 100.00% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 106 | 76 | 89 | 28 | 49 | 25 | 58.3% | 6.6% | 95.3% | 101.8 | DULL | |
13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 1 | 4 | 1 | 1 | 0 | 66 | 25 | 25 | 16 | 0 | 51 | 14 | 6 | 32 | 9 | 1 | 11.11% | 3 | 0 | 100.00% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 51 | 36 | 43 | 14 | 24 | 12 | 62.5% | 9.1% | 94.1% | 103.2 | LUCKY | |
14 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 13 | -8 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 3 | 0 | 2 | 0 | 74 | 25 | 22 | 27 | 0 | 86 | 27 | 45 | 69 | 10 | 2 | 20.00% | 20 | 7 | 65.00% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 65 | 44 | 78 | 23 | 35 | 16 | 33.3% | 6.8% | 84.9% | 91.6 | Unlucky | |
15 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 6 | 0.750 | 9 | 15 | 24 | 0 | 2 | 2 | 3 | 4 | 0 | 139 | 38 | 59 | 42 | 0 | 95 | 24 | 37 | 72 | 17 | 5 | 29.41% | 14 | 2 | 85.71% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 101 | 71 | 87 | 28 | 51 | 26 | 66.7% | 6.5% | 95.8% | 102.3 | DULL | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 4 | 3 | 1 | 0 | 69 | 31 | 18 | 20 | 0 | 53 | 17 | 6 | 33 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 54 | 39 | 39 | 14 | 25 | 13 | 60.0% | 11.6% | 92.5% | 104.0 | LUCKY | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 40 | 12 | 16 | 12 | 0 | 25 | 4 | 10 | 12 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 24 | 17 | 22 | 7 | 13 | 6 | 75.0% | 10.0% | 92.0% | 102.0 | LUCKY | |
18 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 0 | 1 | 2 | 0 | 71 | 28 | 25 | 18 | 0 | 95 | 26 | 30 | 62 | 9 | 1 | 11.11% | 14 | 2 | 85.71% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 66 | 44 | 76 | 22 | 37 | 17 | 25.0% | 4.2% | 91.6% | 95.8 | DULL | |
19 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 3 | 0 | 75 | 22 | 21 | 32 | 0 | 51 | 13 | 16 | 35 | 8 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 49 | 35 | 46 | 14 | 23 | 11 | 42.9% | 4.0% | 88.2% | 92.2 | Unlucky | |
20 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 2 | 3 | 2 | 1 | 73 | 20 | 26 | 26 | 1 | 51 | 11 | 24 | 41 | 7 | 3 | 42.86% | 11 | 1 | 90.91% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 50 | 35 | 43 | 14 | 26 | 13 | 62.5% | 11.0% | 92.2% | 103.1 | LUCKY | |
21 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 4 | 0.667 | 9 | 18 | 27 | 0 | 0 | 5 | 3 | 1 | 0 | 86 | 26 | 33 | 27 | 0 | 86 | 14 | 48 | 51 | 10 | 1 | 10.00% | 12 | 2 | 83.33% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 65 | 44 | 74 | 22 | 39 | 18 | 50.0% | 10.5% | 88.4% | 98.8 | FUN | |
22 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 1 | 4 | 0 | 66 | 10 | 21 | 35 | 0 | 65 | 12 | 14 | 39 | 7 | 3 | 42.86% | 6 | 1 | 83.33% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 47 | 32 | 46 | 14 | 26 | 13 | 50.0% | 10.6% | 92.3% | 102.9 | LUCKY | |
23 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 6 | 10 | 0 | 1 | 2 | 1 | 0 | 2 | 58 | 21 | 20 | 17 | 2 | 57 | 23 | 23 | 41 | 3 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 48 | 33 | 51 | 15 | 25 | 12 | 80.0% | 6.9% | 98.2% | 105.1 | DULL | |
24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 1 | 0 | 1 | 4 | 1 | 0 | 49 | 15 | 24 | 10 | 0 | 60 | 21 | 14 | 48 | 8 | 2 | 25.00% | 7 | 1 | 85.71% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 44 | 29 | 49 | 16 | 25 | 12 | 40.0% | 12.2% | 88.3% | 100.6 | FUN | |
25 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 2 | 2 | 2 | 1 | 59 | 11 | 27 | 19 | 4 | 67 | 23 | 24 | 37 | 8 | 2 | 25.00% | 12 | 1 | 91.67% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 43 | 29 | 55 | 16 | 25 | 11 | 62.5% | 11.9% | 94.0% | 105.9 | LUCKY | |
26 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 6 | 8 | 6 | 1.000 | 14 | 26 | 40 | 0 | 0 | 3 | 5 | 6 | 0 | 110 | 38 | 37 | 35 | 0 | 65 | 25 | 39 | 62 | 13 | 4 | 30.77% | 13 | 2 | 84.62% | 1 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 75 | 52 | 66 | 21 | 37 | 19 | 71.4% | 12.7% | 90.8% | 103.5 | FUN | |
27 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 1 | 3 | 3 | 1 | 70 | 19 | 23 | 22 | 9 | 50 | 14 | 19 | 34 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 51 | 36 | 48 | 14 | 25 | 12 | 63.6% | 11.4% | 90.0% | 101.4 | FUN | |
28 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 3 | 2 | 1 | 0 | 60 | 20 | 20 | 20 | 0 | 55 | 20 | 18 | 34 | 5 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 49 | 35 | 48 | 13 | 22 | 11 | 75.0% | 10.0% | 94.5% | 104.5 | LUCKY | |
29 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 7 | 9 | -2 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 2 | 3 | 2 | 1 | 78 | 35 | 20 | 21 | 5 | 58 | 15 | 8 | 53 | 5 | 2 | 40.00% | 4 | 1 | 75.00% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 55 | 40 | 46 | 12 | 24 | 12 | 38.5% | 9.0% | 84.5% | 93.5 | FUN | |
30 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 5 | 8 | -3 | 2 | 0.333 | 5 | 9 | 14 | 0 | 0 | 4 | 1 | 0 | 0 | 96 | 29 | 41 | 23 | 6 | 72 | 21 | 18 | 59 | 8 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 80 | 57 | 67 | 22 | 37 | 19 | 38.5% | 5.2% | 88.9% | 94.1 | Unlucky | |
_Vs Division | 21 | 13 | 6 | 0 | 0 | 0 | 0 | 2 | 61 | 44 | 17 | 28 | 0.667 | 61 | 112 | 173 | 2 | 3 | 22 | 23 | 16 | 0 | 671 | 213 | 237 | 216 | 11 | 548 | 151 | 199 | 419 | 80 | 17 | 21.25% | 71 | 9 | 87.32% | 1 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 518 | 363 | 486 | 153 | 265 | 134 | 55.7% | 9.1% | 92.0% | 101.1 | LUCKY | |
_Vs Conference | 37 | 18 | 12 | 0 | 0 | 2 | 1 | 4 | 105 | 95 | 10 | 44 | 0.595 | 105 | 191 | 296 | 2 | 4 | 41 | 36 | 27 | 2 | 1180 | 383 | 429 | 356 | 26 | 1010 | 287 | 336 | 748 | 131 | 27 | 20.61% | 136 | 21 | 84.56% | 1 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 907 | 636 | 874 | 273 | 465 | 231 | 51.3% | 8.9% | 90.6% | 99.5 | Unlucky | |
_Since Last GM Reset | 69 | 37 | 20 | 0 | 2 | 3 | 3 | 4 | 204 | 165 | 39 | 91 | 0.659 | 204 | 366 | 570 | 2 | 6 | 78 | 67 | 54 | 7 | 2282 | 740 | 769 | 750 | 42 | 1887 | 518 | 594 | 1390 | 245 | 43 | 17.55% | 242 | 37 | 84.71% | 1 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 1711 | 1208 | 1607 | 504 | 865 | 431 | 55.7% | 8.9% | 91.3% | 100.2 | Unlucky | |
Total | 69 | 37 | 20 | 0 | 2 | 3 | 3 | 4 | 204 | 165 | 39 | 91 | 0.659 | 204 | 366 | 570 | 2 | 6 | 78 | 67 | 54 | 7 | 2282 | 740 | 769 | 750 | 42 | 1887 | 518 | 594 | 1390 | 245 | 43 | 17.55% | 242 | 37 | 84.71% | 1 | 1351 | 2532 | 53.36% | 1171 | 2289 | 51.16% | 560 | 1033 | 54.21% | 1711 | 1208 | 1607 | 504 | 865 | 431 | 55.7% | 8.9% | 91.3% | 100.2 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2532 |
Neutral Zone Start | 1033 |
Defensive Zone Start | 2289 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3082 |
Faceoffs Lost | 2772 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.7 | 9.57 |
2nd Period | 21.9 | 20.31 |
3rd Period | 32.7 | 30.68 |
Overtime | 33.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 158 |
---|---|
PP Goal | 43 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 20 | 22 |
Lost | 9 | 11 |
Overtime Lost | 4 | 3 |
PP Attempt | 245 |
---|---|
PP Goal | 43 |
PK Attempt | 242 |
PK Goal Against | 37 |
Home | |
---|---|
Shots For | 33.1 |
Shots Against | 27.3 |
Goals For | 3.0 |
Goals Against | 2.4 |
Hits | 20.1 |
Shots Blocked | 7.5 |
Pim | 8.6 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-10-13 | @ | Coyotes3,Penguins2 | RECAP | |||||||||||
2022-10-15 | @ | Coyotes1,Bruins3 | RECAP | |||||||||||
2022-10-17 | @ | Coyotes4,Maple Leafs3 (SO) | RECAP | |||||||||||
2022-10-20 | @ | Coyotes4,Canadiens1 | RECAP | |||||||||||
2022-10-22 | @ | Coyotes4,Senators2 | RECAP | |||||||||||
2022-10-25 | @ | Coyotes2,Blue Jackets0 | RECAP | |||||||||||
2022-10-28 | @ | Jets3,Coyotes4 | RECAP | |||||||||||
2022-10-30 | @ | Rangers4,Coyotes3 | RECAP | |||||||||||
2022-11-01 | @ | Panthers2,Coyotes3 | RECAP | |||||||||||
2022-11-03 | @ | Stars3,Coyotes5 | RECAP | |||||||||||
2022-11-05 | @ | Coyotes4,Capitals1 | RECAP | |||||||||||
2022-11-08 | @ | Coyotes4,Sabres3 (OT) | RECAP | |||||||||||
2022-11-10 | @ | Coyotes2,Islanders3 | RECAP | |||||||||||
2022-11-12 | @ | Coyotes2,Devils4 | RECAP | |||||||||||
2022-11-13 | @ | Coyotes3,Rangers2 (OT) | RECAP | |||||||||||
2022-11-17 | @ | Coyotes1,Golden Knights2 (OT) | RECAP | |||||||||||
2022-11-21 | @ | Coyotes2,Predators0 | RECAP | |||||||||||
2022-11-23 | @ | Coyotes2,Hurricanes0 | RECAP | |||||||||||
2022-11-25 | @ | Coyotes1,Red Wings3 | RECAP | |||||||||||
2022-11-27 | @ | Coyotes1,Wild0 | RECAP | |||||||||||
2022-12-01 | @ | Coyotes1,Kings5 | RECAP | |||||||||||
2022-12-03 | @ | Coyotes4,Canucks3 | RECAP | |||||||||||
2022-12-05 | @ | Coyotes2,Flames4 | RECAP | |||||||||||
2022-12-07 | @ | Coyotes4,Oilers2 | RECAP | |||||||||||
2022-12-09 | @ | Bruins3,Coyotes2 | RECAP | |||||||||||
2022-12-11 | @ | Flyers1,Coyotes3 | RECAP | |||||||||||
2022-12-13 | @ | Coyotes3,Sharks4 (SO) | RECAP | |||||||||||
2022-12-16 | @ | Islanders3,Coyotes2 | RECAP | |||||||||||
2022-12-17 | @ | Sabres1,Coyotes4 | RECAP | |||||||||||
2022-12-19 | @ | Canadiens4,Coyotes3 (OT) | RECAP | |||||||||||
2022-12-21 | @ | Coyotes2,Golden Knights3 (SO) | RECAP | |||||||||||
2022-12-23 | @ | Kings4,Coyotes2 | RECAP | |||||||||||
2022-12-27 | @ | Avalanche3,Coyotes2 (SO) | RECAP | |||||||||||
2022-12-29 | @ | Maple Leafs2,Coyotes4 | RECAP | |||||||||||
2022-12-31 | @ | Coyotes3,Lightning2 | RECAP | |||||||||||
2023-01-03 | @ | Coyotes4,Panthers3 | RECAP | |||||||||||
2023-01-05 | @ | Coyotes3,Flyers1 | RECAP | |||||||||||
2023-01-06 | @ | Coyotes3,Blackhawks2 | RECAP | |||||||||||
2023-01-08 | @ | Penguins1,Coyotes3 | RECAP | |||||||||||
2023-01-10 | @ | Sharks5,Coyotes4 (OT) | RECAP | |||||||||||
2023-01-12 | @ | Senators1,Coyotes5 | RECAP | |||||||||||
2023-01-14 | @ | Coyotes4,Wild2 | RECAP | |||||||||||
2023-01-15 | @ | Coyotes2,Jets4 | RECAP | |||||||||||
2023-01-17 | @ | Red Wings3,Coyotes1 | RECAP | |||||||||||
2023-01-19 | @ | Capitals3,Coyotes4 | RECAP | |||||||||||
2023-01-21 | @ | Coyotes4,Stars2 | RECAP | |||||||||||
2023-01-22 | @ | Golden Knights3,Coyotes2 | RECAP | |||||||||||
2023-01-24 | @ | Ducks3,Coyotes4 (SO) | RECAP | |||||||||||
2023-01-26 | @ | Blues4,Coyotes2 | RECAP | |||||||||||
2023-01-28 | @ | Coyotes3,Ducks1 | RECAP | |||||||||||
2023-02-06 | @ | Wild1,Coyotes2 | RECAP | |||||||||||
2023-02-10 | @ | Coyotes1,Blackhawks4 | RECAP | |||||||||||
2023-02-11 | @ | Coyotes0,Blues1 | RECAP | |||||||||||
2023-02-13 | @ | Coyotes2,Predators3 | RECAP | |||||||||||
2023-02-15 | @ | Lightning2,Coyotes5 | RECAP | |||||||||||
2023-02-18 | @ | Coyotes2,Kings4 | RECAP | |||||||||||
2023-02-19 | @ | Blue Jackets1,Coyotes2 (SO) | RECAP | |||||||||||
2023-02-22 | @ | Flames4,Coyotes2 | RECAP | |||||||||||
2023-02-26 | @ | Predators0,Coyotes3 | RECAP | |||||||||||
2023-02-28 | @ | Blackhawks4,Coyotes5 | RECAP | |||||||||||
2023-03-01 | @ | Coyotes5,Stars1 | RECAP | |||||||||||
2023-03-03 | @ | Hurricanes2,Coyotes4 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-03-05 | @ | Devils4,Coyotes5 | RECAP | |||||||||||
2023-03-07 | @ | Blues3,Coyotes1 | RECAP | |||||||||||
2023-03-09 | @ | Predators1,Coyotes2 | RECAP | |||||||||||
2023-03-11 | @ | Coyotes10,Avalanche1 | RECAP | |||||||||||
2023-03-12 | @ | Wild2,Coyotes1 (SO) | RECAP | |||||||||||
2023-03-14 | @ | Flames4,Coyotes6 | RECAP | |||||||||||
2023-03-16 | @ | Canucks0,Coyotes2 | RECAP | |||||||||||
2023-03-18 | @ | |||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
79,366,666$ | 0$ | 80,752,116$ | 3,133,334$ |
Arena | Goal Horn | About us | |
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![]() | Name | Gila River Arena | |
City | Arizona | ||
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 | 147049 | 104640 | 46449 | 127373 | 31468 |
Attendance PCT | 74.27% | 63.42% | 70.38% | 96.49% | 95.36% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
8 | 13848 - 76.93% | 1,400,240$ | 46,207,931$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
79,366,666$ | 79,366,666$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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70,808,691$ | 415,697$ | 69,528,297$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
11,201,923$ | 27 | 425,220$ | 11,480,940$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
11,880,780$ | 79,366,666$ | 15,563,055$ | 14,884,198$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2023 | |||||||
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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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8 | * | Wildcard for zero or more non-space characters. |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Aku Raty | 2019 | 163 | 5.5 - 4.0 | ||
Caedan Bankier | 2021 | 102 | |||
Emil Martinsen-Lilleberg | 2021 | 132 | |||
Ethan Cardwell | 2020 | 161 | |||
Hardy Haman Aktell | 3.5 - 2.5 | ||||
Ivan Vorobyov | 2021 | 207 | |||
Jakub Konecny | |||||
Josh Pillar | 2021 | 143 | |||
Judd Caulfield | 2019 | 60 | |||
Landon Kosior | 2020 | 121 | |||
Nikita Nesterenko | 2019 | 185 | 4.5 - 3.0 | ||
Oliver Johansson | 2021 | 97 | |||
Patrik Hamrla | 2021 | 89 | |||
Philip Svedeback | 2021 | 124 | |||
Trevor Kuntar | 2020 | 109 |
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