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Full Scoreboard »» |
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Full Scoreboard »» |
Arizona Coyotes 13-11-1, 27pts · 10th 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 | 70 | 33 | 85 | 92 | 77 | 88 | 90 | 87 | 59 | 86 | 97 | 64 | 92 | 72 | 71 | 0 | 49 | 95 | 27 | 11,500,000$/8yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 74 | 36 | 77 | 88 | 80 | 87 | 90 | 80 | 59 | 77 | 87 | 75 | 84 | 71 | 69 | 0 | 49 | 90 | 27 | 3,850,000$/6yrs | |||
![]() | 0 | RW | 100.00 | 63 | 34 | 92 | 79 | 87 | 87 | 78 | 79 | 59 | 83 | 80 | 83 | 79 | 79 | 92 | 0 | 49 | 90 | 31 | 9,500,000$/4yrs | |||
![]() | 38 | LW/RW | 100.00 | 66 | 32 | 78 | 86 | 73 | 86 | 90 | 80 | 66 | 79 | 83 | 88 | 82 | 68 | 66 | 0 | 49 | 90 | 25 | 2,500,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 66 | 33 | 90 | 77 | 80 | 87 | 90 | 78 | 89 | 85 | 73 | 82 | 75 | 75 | 74 | 0 | 49 | 88 | 29 | 2,750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 33 | 90 | 80 | 78 | 83 | 90 | 78 | 61 | 80 | 81 | 69 | 80 | 78 | 77 | 0 | 49 | 88 | 31 | 4,250,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 66 | 34 | 84 | 73 | 89 | 83 | 90 | 73 | 85 | 78 | 72 | 88 | 73 | 79 | 78 | 0 | 49 | 86 | 31 | 5,250,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 80 | 44 | 68 | 71 | 73 | 83 | 84 | 75 | 73 | 73 | 78 | 74 | 76 | 88 | 92 | 0 | 49 | 85 | 36 | 5,750,000$/2yrs | |||
![]() | 69 | C/RW | 100.00 | 80 | 34 | 79 | 70 | 87 | 82 | 89 | 70 | 84 | 68 | 74 | 84 | 72 | 78 | 76 | 0 | 49 | 84 | 31 | 2,250,000$/3yrs | |||
![]() | 18 | C/LW | 100.00 | 77 | 42 | 76 | 70 | 77 | 79 | 87 | 68 | 78 | 70 | 71 | 78 | 69 | 74 | 71 | 0 | 52 | 82 | 28 | 1,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 72 | 33 | 95 | 64 | 76 | 80 | 90 | 69 | 59 | 72 | 69 | 74 | 69 | 79 | 78 | 0 | 49 | 81 | 32 | 1,800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 71 | 33 | 81 | 64 | 81 | 81 | 90 | 67 | 85 | 70 | 69 | 79 | 68 | 83 | 81 | 0 | 49 | 81 | 34 | 2,450,000$/2yrs | |||
![]() | 72 | D | 100.00 | 69 | 33 | 90 | 68 | 84 | 92 | 87 | 74 | 30 | 74 | 61 | 94 | 67 | 83 | 82 | 0 | 49 | 88 | 34 | 6,750,000$/3yrs | |||
![]() | 0 | D | 100.00 | 75 | 34 | 79 | 65 | 90 | 91 | 84 | 70 | 30 | 73 | 61 | 90 | 65 | 81 | 79 | 0 | 49 | 86 | 33 | 3,500,000$/2yrs | |||
![]() | 70 | D | 100.00 | 81 | 34 | 85 | 63 | 89 | 87 | 86 | 70 | 30 | 72 | 60 | 86 | 65 | 74 | 73 | 0 | 49 | 84 | 29 | 5,100,000$/4yrs | |||
![]() | 0 | D | 100.00 | 75 | 58 | 64 | 65 | 87 | 87 | 88 | 69 | 30 | 68 | 61 | 87 | 65 | 72 | 68 | 0 | 46 | 83 | 27 | 1,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 34 | 77 | 63 | 74 | 88 | 87 | 69 | 30 | 70 | 60 | 82 | 64 | 68 | 65 | 0 | 49 | 81 | 25 | 3,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 84 | 42 | 80 | 64 | 82 | 82 | 90 | 67 | 30 | 70 | 60 | 77 | 64 | 70 | 68 | 0 | 49 | 81 | 26 | 1,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 73 | 36 | 82 | 72 | 81 | 85 | 88 | 74 | 58 | 75 | 72 | 81 | 73 | 76 | 76 | 0 | 49 | 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 | 86 | 95 | 82 | 84 | 86 | 85 | 89 | 92 | 91 | 90 | 89 | 75 | 80 | 0 | 45 | 91 | 30 | 6,400,000$/4yrs |
![]() | 0 | 100.00 | 71 | 72 | 71 | 76 | 83 | 80 | 83 | 85 | 87 | 85 | 83 | 73 | 77 | 0 | 50 | 84 | 28 | 3,200,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 79 | 84 | 77 | 80 | 85 | 83 | 86 | 89 | 89 | 88 | 86 | 74 | 79 | 0 | 48 | 88 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Tortorella | 99 | 69 | 76 | 69 | 84 | 74 | 69 | USA | 48 | 1 | 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 | David Pastrnak | 88 | RW | 25 | 11 | 15 | 26 | -4 | 8 | 0 | 37 | 101 | 29 | 71 | 10.89% | 1 | 18.49 | 3 | 10 | 13 | 72 | 0 | 0 | 0 | 6 | 3 | 1 | 36.17% | 47 | 0 | 0 | 0 | 0 | 1.12 | 0 | 1 | |
2 | Chandler Stephenson | 0 | C/LW | 25 | 12 | 13 | 25 | 0 | 6 | 0 | 15 | 62 | 19 | 30 | 19.35% | 2 | 18.85 | 4 | 3 | 7 | 68 | 0 | 0 | 0 | 1 | 1 | 0 | 56.96% | 611 | 0 | 0 | 0 | 0 | 1.06 | 0 | 0 | |
3 | Mark Stone | 0 | RW | 25 | 10 | 15 | 25 | 1 | 6 | 0 | 14 | 78 | 30 | 56 | 12.82% | 4 | 18.69 | 1 | 3 | 4 | 57 | 0 | 0 | 0 | 6 | 1 | 1 | 34.29% | 35 | 0 | 0 | 0 | 1 | 1.07 | 0 | 1 | |
4 | Ryan McDonagh | 72 | D | 25 | 5 | 16 | 21 | -6 | 4 | 0 | 9 | 39 | 10 | 26 | 12.82% | 30 | 21.17 | 2 | 7 | 9 | 70 | 0 | 0 | 0 | 10 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | |
5 | Brandon Hagel | 38 | LW/RW | 25 | 5 | 15 | 20 | -2 | 4 | 0 | 23 | 88 | 12 | 55 | 5.68% | 3 | 13.39 | 3 | 6 | 9 | 73 | 0 | 0 | 0 | 0 | 2 | 0 | 28.57% | 28 | 0 | 0 | 0 | 0 | 1.19 | 0 | 0 | |
6 | Tyler Toffoli | 0 | LW/RW | 25 | 7 | 9 | 16 | -3 | 8 | 0 | 12 | 66 | 17 | 35 | 10.61% | 1 | 17.02 | 3 | 5 | 8 | 70 | 0 | 0 | 0 | 3 | 1 | 0 | 21.88% | 32 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | |
7 | Charlie Coyle | 0 | C/RW | 25 | 4 | 11 | 15 | -7 | 2 | 0 | 31 | 63 | 14 | 46 | 6.35% | 5 | 16.61 | 3 | 1 | 4 | 54 | 0 | 0 | 0 | 0 | 0 | 0 | 51.00% | 500 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | |
8 | Adrian Kempe | 0 | C/LW/RW | 25 | 7 | 7 | 14 | -7 | 14 | 0 | 61 | 90 | 21 | 51 | 7.78% | 6 | 18.55 | 0 | 3 | 3 | 59 | 0 | 0 | 0 | 18 | 1 | 1 | 46.43% | 84 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
9 | Jacob Middleton | 0 | D | 25 | 3 | 8 | 11 | 4 | 41 | 5 | 40 | 15 | 7 | 9 | 20.00% | 31 | 18.63 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 68 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
10 | David Savard | 0 | D | 25 | 1 | 9 | 10 | -4 | 8 | 0 | 21 | 15 | 3 | 9 | 6.67% | 21 | 17.50 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 33 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
11 | Lars Eller | 0 | C | 25 | 4 | 4 | 8 | 8 | 2 | 0 | 13 | 23 | 4 | 18 | 17.39% | 2 | 10.04 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 40 | 0 | 0 | 47.99% | 273 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | |
12 | Ryan Lindgren | 0 | D | 25 | 1 | 7 | 8 | 3 | 16 | 0 | 29 | 6 | 5 | 13 | 16.67% | 35 | 18.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
13 | T.J. Oshie | 0 | RW | 25 | 3 | 4 | 7 | -5 | 16 | 0 | 34 | 45 | 11 | 33 | 6.67% | 1 | 12.75 | 1 | 2 | 3 | 59 | 0 | 0 | 0 | 19 | 0 | 0 | 45.45% | 22 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
14 | Sam Lafferty | 18 | C/LW | 25 | 3 | 4 | 7 | 6 | 13 | 5 | 24 | 29 | 13 | 19 | 10.34% | 3 | 10.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 0 | 0 | 60.00% | 20 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
15 | Rasmus Ristolainen | 70 | D | 25 | 1 | 3 | 4 | 0 | 16 | 0 | 59 | 13 | 6 | 13 | 7.69% | 26 | 20.29 | 1 | 2 | 3 | 61 | 0 | 0 | 0 | 69 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | |
16 | Jesper Fast | 0 | RW | 25 | 2 | 1 | 3 | 6 | 4 | 0 | 6 | 15 | 2 | 19 | 13.33% | 4 | 11.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 86 | 0 | 0 | 36.84% | 19 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
17 | Nick Bjugstad | 69 | C/RW | 25 | 1 | 2 | 3 | -5 | 2 | 0 | 32 | 40 | 6 | 29 | 2.50% | 6 | 12.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 89 | 1 | 0 | 50.92% | 436 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
18 | Will Borgen | 0 | D | 25 | 0 | 3 | 3 | -4 | 42 | 0 | 63 | 10 | 4 | 4 | 0.00% | 27 | 19.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 56 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 | |
Team Total or Average | 450 | 80 | 146 | 226 | -19 | 212 | 10 | 523 | 798 | 213 | 536 | 10.03% | 208 | 16.34 | 21 | 42 | 63 | 667 | 0 | 0 | 0 | 620 | 13 | 3 | 50.69% | 2107 | 0 | 0 | 0 | 1 | 0.61 | 0 | 2 |
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 | 17 | 10 | 5 | 1 | 0.894 | 2.76 | 955 | 0 | 1 | 44 | 417 | 0 | 0 | 0 | 0.333 | 3 | 16 | 9 | 2 | 1 | 0 | |
2 | Kevin Lankinen | 10 | 3 | 6 | 0 | 0.876 | 3.59 | 552 | 0 | 0 | 33 | 267 | 0 | 0 | 0 | 0.000 | 0 | 9 | 16 | 0 | 0 | 0 | |
Team Total or Average | 27 | 13 | 11 | 1 | 0.887 | 3.06 | 1508 | 0 | 1 | 77 | 684 | 0 | 0 | 0 | 0.333 | 3 | 25 | 25 | 2 | 1 | 0 |
Projected Total Cap Hit | 82,800,000$ |
Projected Cap Space | 700,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 25,875,000$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Coyotes Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Kempe | C/LW/RW | 27 | 3,850,000$ | 3,850,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |
Brandon Hagel | LW/RW | 25 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Chandler Stephenson | C/LW | 29 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Charlie Coyle | C/RW | 31 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | ||||
David Pastrnak | RW | 27 | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ |
David Savard | D | 33 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Jacob Middleton ![]() | D | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Jesper Fast | RW | 32 | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | |||||
John Gibson | G | 30 | 6,400,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | UFA | |||
Kevin Lankinen | G | 28 | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA | ||||
Lars Eller | C | 34 | 2,450,000$ | 2,450,000$ | 2,450,000$ | UFA | |||||
Mark Stone | RW | 31 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||
Nick Bjugstad | C/RW | 31 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | ||||
Rasmus Ristolainen | D | 29 | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | UFA | |||
Ryan Lindgren | D | 25 | 3,000,000$ | 3,000,000$ | |||||||
Ryan McDonagh | D | 34 | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | UFA | ||||
Sam Lafferty ![]() | C/LW | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
T.J. Oshie | RW | 36 | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | |||||
Tyler Toffoli | LW/RW | 31 | 4,250,000$ | 4,250,000$ | UFA | ||||||
Will Borgen ![]() | D | 26 | 1,000,000$ | 1,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Limoges ![]() | C/LW | 26 | 780,000$ | 780,000$ | ![]() | ||||||
Antoine Morand ![]() | C | 24 | 900,000$ | 900,000$ | ![]() | ||||||
Arttu Ruotsalainen ![]() | C/LW/RW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Brady Lyle ![]() | D | 24 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | ||||
Carter Savoie ![]() | LW | 21 | 925,000$ | 925,000$ | RFA | ||||||
Derick Brassard ![]() | C/LW | 36 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Dmitry Zavgorodniy ![]() | RW | 23 | 0$ | RFA | |||||||
Dysin Mayo ![]() | D | 27 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Felix Sandstrom ![]() | G | 26 | 950,000$ | 950,000$ | UFA | ||||||
Frederic Allard ![]() | D | 25 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Henry Bowlby ![]() | C/LW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Jakub Pour ![]() | RW | 24 | 0$ | ![]() | |||||||
Jakub Zboril ![]() | D | 26 | 900,000$ | 900,000$ | UFA | ||||||
James Hamblin ![]() | C/LW | 24 | 807,500$ | 807,500$ | ![]() | ||||||
Jeremie Poirier ![]() | D | 21 | 823,333$ | 823,333$ | 823,333$ | RFA | |||||
Jet Greaves ![]() | G | 22 | 775,000$ | 775,000$ | RFA | ||||||
John Lethemon ![]() | G | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Jonny Brodzinski ![]() | C/RW | 30 | 775,000$ | 775,000$ | UFA | ||||||
Louka Heneault ![]() | D | 22 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Lukas Svejkovsky ![]() | C/RW | 22 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Marc Del Gaizo ![]() | D | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Marian Studenic ![]() | LW/RW | 25 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
Maxim Letunov ![]() | C | 27 | 775,000$ | 775,000$ | UFA | ||||||
Niko Mikkola ![]() | D | 27 | 788,000$ | 788,000$ | UFA | ||||||
Rasmus Korhonen ![]() | G | 21 | 0$ | RFA | |||||||
Sam Gagner ![]() | C/LW/RW | 34 | 850,000$ | 850,000$ | UFA | ||||||
Tucker Poolman ![]() | D | 30 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Wyatt Kalynuk ![]() | D | 26 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Yegor Sokolov ![]() | LW/RW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | ||||
Zayde Wisdom ![]() | RW | 21 | 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 |
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1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 1 | 0 | 1 | 26 | 8 | 13 | 4 | 1 | 29 | 16 | 12 | 25 | 6 | 2 | 33.33% | 6 | 2 | 66.67% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 21 | 13 | 29 | 8 | 13 | 6 | 60.0% | 19.2% | 86.2% | 105.4 | FUN | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 21 | 6 | 8 | 7 | 0 | 32 | 9 | 6 | 20 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 21 | 14 | 25 | 7 | 12 | 6 | 42.9% | 14.3% | 87.5% | 101.8 | FUN | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 29 | 10 | 9 | 10 | 0 | 29 | 6 | 8 | 26 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 22 | 15 | 25 | 7 | 11 | 5 | 20.0% | 6.9% | 86.2% | 93.1 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 30 | 10 | 6 | 14 | 0 | 17 | 8 | 14 | 20 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 26 | 18 | 19 | 6 | 14 | 7 | 71.4% | 16.7% | 82.4% | 99.0 | FUN | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 8 | 12 | 11 | 0 | 37 | 13 | 8 | 24 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 22 | 14 | 24 | 6 | 12 | 6 | 0.0% | 0.0% | 91.9% | 91.9 | DULL | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 33 | 11 | 12 | 10 | 0 | 18 | 3 | 8 | 26 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 25 | 18 | 21 | 7 | 12 | 6 | 66.7% | 9.1% | 94.4% | 103.5 | LUCKY | |
7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 3 | 0 | 0 | 40 | 15 | 11 | 12 | 4 | 43 | 4 | 9 | 17 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 25 | 18 | 27 | 7 | 12 | 6 | 50.0% | 10.0% | 88.4% | 98.4 | FUN | |
8 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 1 | 2 | 4 | 0 | 101 | 34 | 38 | 29 | 0 | 81 | 36 | 30 | 62 | 10 | 0 | 0.00% | 14 | 2 | 85.71% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 72 | 48 | 70 | 21 | 37 | 18 | 53.8% | 6.9% | 90.1% | 97.1 | Unlucky | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 33 | 10 | 7 | 16 | 0 | 28 | 7 | 6 | 18 | 3 | 2 | 66.67% | 3 | 1 | 66.67% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 25 | 18 | 22 | 6 | 11 | 5 | 25.0% | 9.1% | 85.7% | 94.8 | FUN | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 27 | 5 | 13 | 9 | 0 | 31 | 9 | 8 | 22 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 22 | 15 | 24 | 7 | 12 | 6 | 75.0% | 11.1% | 96.8% | 107.9 | LUCKY | |
11 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 14 | 19 | -5 | 4 | 0.500 | 14 | 25 | 39 | 0 | 0 | 3 | 4 | 7 | 0 | 129 | 46 | 34 | 49 | 0 | 105 | 29 | 34 | 84 | 14 | 5 | 35.71% | 16 | 4 | 75.00% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 98 | 69 | 90 | 27 | 51 | 25 | 37.5% | 10.9% | 81.9% | 92.8 | FUN | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 4 | 0 | 2 | 0 | 43 | 21 | 12 | 10 | 0 | 27 | 13 | 4 | 33 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 23 | 16 | 24 | 7 | 12 | 5 | 66.7% | 14.0% | 92.6% | 106.5 | LUCKY | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 26 | 5 | 6 | 15 | 0 | 51 | 11 | 10 | 26 | 0 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 17 | 11 | 29 | 7 | 12 | 5 | 16.7% | 3.8% | 88.2% | 92.1 | Unlucky | |
14 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 1 | 1 | 69 | 21 | 25 | 22 | 1 | 51 | 17 | 16 | 29 | 7 | 1 | 14.29% | 8 | 1 | 87.50% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 51 | 38 | 45 | 13 | 23 | 11 | 71.4% | 8.7% | 94.1% | 102.8 | DULL | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 14 | 22 | 0 | 1 | 0 | 3 | 5 | 0 | 59 | 27 | 9 | 23 | 0 | 40 | 12 | 21 | 25 | 11 | 4 | 36.36% | 7 | 0 | 100.00% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 47 | 33 | 46 | 16 | 25 | 12 | 66.7% | 13.6% | 95.0% | 108.6 | LUCKY | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 2 | 1.000 | 7 | 12 | 19 | 0 | 0 | 1 | 2 | 4 | 0 | 40 | 7 | 16 | 17 | 0 | 17 | 4 | 4 | 21 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 25 | 18 | 21 | 7 | 12 | 6 | 83.3% | 17.5% | 94.1% | 111.6 | LUCKY | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 27 | 8 | 11 | 8 | 0 | 19 | 5 | 8 | 25 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 26 | 19 | 20 | 6 | 12 | 6 | 25.0% | 7.4% | 78.9% | 86.4 | Unlucky | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 34 | 13 | 13 | 8 | 0 | 29 | 6 | 6 | 20 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 25 | 18 | 22 | 7 | 12 | 5 | 20.0% | 2.9% | 86.2% | 89.1 | Unlucky | |
_Vs Division | 10 | 6 | 3 | 0 | 1 | 0 | 0 | 0 | 41 | 32 | 9 | 14 | 0.700 | 41 | 76 | 117 | 0 | 0 | 13 | 11 | 16 | 1 | 344 | 115 | 100 | 128 | 1 | 245 | 78 | 78 | 205 | 37 | 12 | 32.43% | 37 | 7 | 81.08% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 251 | 179 | 223 | 69 | 125 | 62 | 53.7% | 11.9% | 86.9% | 98.9 | FUN | |
_Vs Conference | 17 | 9 | 7 | 0 | 1 | 0 | 0 | 0 | 59 | 50 | 9 | 20 | 0.588 | 59 | 109 | 168 | 0 | 1 | 15 | 17 | 26 | 1 | 565 | 197 | 171 | 196 | 1 | 414 | 137 | 143 | 337 | 61 | 17 | 27.87% | 64 | 10 | 84.38% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 423 | 298 | 384 | 121 | 212 | 105 | 51.2% | 10.4% | 87.9% | 98.4 | FUN | |
_Since Last GM Reset | 25 | 11 | 11 | 0 | 2 | 0 | 0 | 1 | 80 | 78 | 2 | 27 | 0.540 | 80 | 146 | 226 | 0 | 1 | 23 | 27 | 28 | 2 | 798 | 265 | 255 | 274 | 6 | 684 | 208 | 212 | 523 | 82 | 21 | 25.61% | 93 | 15 | 83.87% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 603 | 421 | 591 | 180 | 314 | 155 | 48.4% | 10.0% | 88.6% | 98.6 | FUN | |
Total | 25 | 11 | 11 | 0 | 2 | 0 | 0 | 1 | 80 | 78 | 2 | 27 | 0.540 | 80 | 146 | 226 | 0 | 1 | 23 | 27 | 28 | 2 | 798 | 265 | 255 | 274 | 6 | 684 | 208 | 212 | 523 | 82 | 21 | 25.61% | 93 | 15 | 83.87% | 0 | 449 | 896 | 50.11% | 402 | 804 | 50.00% | 217 | 388 | 55.93% | 603 | 421 | 591 | 180 | 314 | 155 | 48.4% | 10.0% | 88.6% | 98.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 896 |
Neutral Zone Start | 388 |
Defensive Zone Start | 804 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1068 |
Faceoffs Lost | 1020 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.6 | 9.57 |
2nd Period | 20.8 | 20.31 |
3rd Period | 31.8 | 30.68 |
Overtime | 32.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 59 |
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PP Goal | 21 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 10 | 3 |
Lost | 2 | 9 |
Overtime Lost | 1 | 0 |
PP Attempt | 82 |
---|---|
PP Goal | 21 |
PK Attempt | 93 |
PK Goal Against | 15 |
Home | |
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Shots For | 31.9 |
Shots Against | 27.4 |
Goals For | 3.2 |
Goals Against | 3.1 |
Hits | 20.9 |
Shots Blocked | 8.3 |
Pim | 8.5 |
Date | Matchup | Result | Detail | |||||||||||
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2023-10-13 | @ | Coyotes3,Devils4 | RECAP | |||||||||||
2023-10-16 | @ | Coyotes0,Rangers3 | RECAP | |||||||||||
2023-10-17 | @ | Coyotes2,Islanders4 | RECAP | |||||||||||
2023-10-19 | @ | Coyotes2,Blues10 | RECAP | |||||||||||
2023-10-21 | @ | Ducks2,Coyotes4 | RECAP | |||||||||||
2023-10-24 | @ | Coyotes2,Kings3 | RECAP | |||||||||||
2023-10-27 | @ | Kings1,Coyotes3 | RECAP | |||||||||||
2023-10-30 | @ | Blackhawks2,Coyotes6 | RECAP | |||||||||||
2023-11-01 | @ | Coyotes4,Ducks0 | RECAP | |||||||||||
2023-11-02 | @ | Canadiens1,Coyotes3 | RECAP | |||||||||||
2023-11-04 | @ | Jets1,Coyotes3 | RECAP | |||||||||||
2023-11-07 | @ | Kraken4,Coyotes1 | RECAP | |||||||||||
2023-11-09 | @ | Coyotes3,Blues5 | RECAP | |||||||||||
2023-11-11 | @ | Coyotes3,Predators4 | RECAP | |||||||||||
2023-11-14 | @ | Coyotes7,Stars1 | RECAP | |||||||||||
2023-11-16 | @ | Coyotes1,Blue Jackets6 | RECAP | |||||||||||
2023-11-18 | @ | Coyotes3,Jets2 (OT) | RECAP | |||||||||||
2023-11-20 | @ | Kings4,Coyotes2 | RECAP | |||||||||||
2023-11-22 | @ | Blues2,Coyotes6 | RECAP | |||||||||||
2023-11-25 | @ | Coyotes2,Golden Knights4 | RECAP | |||||||||||
2023-11-28 | @ | Lightning1,Coyotes3 | RECAP | |||||||||||
2023-11-30 | @ | Avalanche3,Coyotes5 | RECAP | |||||||||||
2023-12-02 | @ | Blues2,Coyotes3 | RECAP | |||||||||||
2023-12-04 | @ | Capitals5,Coyotes4 (SO) | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,800,000$ | 0$ | 82,800,000$ | 700,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | 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 | 56233 | 39564 | 18561 | 49250 | 12501 |
Attendance PCT | 72.09% | 60.87% | 71.39% | 94.71% | 96.16% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
28 | 13547 - 75.26% | 1,369,290$ | 17,800,772$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,800,000$ | 82,800,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
26,187,480$ | 431,250$ | 25,875,000$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
38,340,124$ | 132 | 436,458$ | 57,612,456$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
59,646,366$ | 82,800,000$ | 17,482,608$ | -3,823,634$ |
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 | Ronde 8 |
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2024 | ||||||||
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Priority | Type | Description |
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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. |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aku Raty | 2019 | 163 | 5.5 - 4.0 | ||
Caedan Bankier | 2021 | 102 | |||
Casper Nassen | 2023 | 222 | |||
Cooper Foster | 2023 | 186 | |||
Dylan Mackinnon | 2023 | 98 | |||
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 | |||
Melvin Strahl | 2023 | 134 | |||
Michael Emerson | 2023 | 189 | |||
Oliver Johansson | 2021 | 97 | |||
Olof Glifford | 2023 | 144 | |||
Patrik Hamrla | 2021 | 89 | |||
Philip Svedeback | 2021 | 124 | |||
Trevor Kuntar | 2020 | 109 | |||
Tyson Galloway | 2021 | 161 | |||
William Rousseau | 2023 | 218 |
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