|
![]() |
|
![]() |
Arizona Coyotes 3-4-0, 6pts |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 78 | 37 | 88 | 75 | 66 | 84 | 86 | 79 | 63 | 80 | 74 | 62 | 83 | 79 | 72 | 54 | 78 | 0 | 31 | 3,200,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 78 | 38 | 88 | 69 | 71 | 83 | 88 | 66 | 82 | 70 | 65 | 86 | 64 | 73 | 69 | 61 | 78 | 0 | 27 | 2,200,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 68 | 46 | 81 | 73 | 74 | 88 | 90 | 75 | 59 | 82 | 78 | 63 | 76 | 82 | 79 | 48 | 79 | 0 | 33 | 4,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 80 | 38 | 92 | 69 | 70 | 76 | 86 | 68 | 65 | 67 | 66 | 61 | 69 | 82 | 73 | 29 | 79 | 0 | 34 | 950,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 94 | 89 | 54 | 70 | 91 | 87 | 88 | 71 | 57 | 76 | 75 | 80 | 71 | 73 | 72 | 70 | 78 | 0 | 28 | 5,166,666$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 35 | 95 | 69 | 83 | 82 | 84 | 66 | 63 | 64 | 67 | 58 | 70 | 65 | 63 | 61 | 79 | 0 | 24 | 750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 76 | 36 | 93 | 77 | 73 | 81 | 87 | 74 | 78 | 75 | 73 | 68 | 76 | 69 | 71 | 78 | 68 | 0 | 25 | 2,600,000$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 76 | 39 | 87 | 80 | 89 | 91 | 88 | 73 | 62 | 71 | 76 | 69 | 74 | 72 | 71 | 80 | 78 | 0 | 26 | 4,750,000$/5yrs | |||
![]() | 0 | C/RW | 100.00 | 53 | 35 | 91 | 78 | 72 | 85 | 91 | 76 | 82 | 79 | 69 | 67 | 76 | 71 | 68 | 79 | 78 | 0 | 26 | 5,850,000$/5yrs | |||
![]() | 0 | D | 100.00 | 58 | 35 | 95 | 60 | 78 | 78 | 74 | 58 | 30 | 60 | 56 | 64 | 49 | 82 | 73 | 29 | 69 | 0 | 33 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 89 | 35 | 92 | 63 | 80 | 85 | 81 | 62 | 30 | 61 | 56 | 64 | 53 | 65 | 68 | 62 | 78 | 0 | 23 | 771,666$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 39 | 85 | 77 | 89 | 93 | 91 | 76 | 30 | 80 | 67 | 83 | 58 | 73 | 78 | 76 | 78 | 0 | 27 | 5,400,000$/1yrs | |||
![]() | 0 | D | 100.00 | 58 | 35 | 92 | 67 | 68 | 82 | 78 | 68 | 30 | 69 | 70 | 56 | 61 | 62 | 66 | 87 | 78 | 0 | 21 | 925,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 100.00 | 79 | 36 | 80 | 67 | 61 | 79 | 80 | 66 | 69 | 67 | 63 | 59 | 65 | 84 | 78 | 30 | 73 | 0 | 34 | 600,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 58 | 38 | 78 | 74 | 78 | 90 | 89 | 76 | 80 | 83 | 73 | 74 | 80 | 75 | 70 | 73 | 40 | 0 | 28 | 4,775,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 99 | 38 | 87 | 72 | 69 | 81 | 77 | 67 | 71 | 63 | 68 | 86 | 65 | 71 | 68 | 59 | 68 | 0 | 27 | 750,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 64 | 37 | 89 | 83 | 70 | 88 | 90 | 78 | 87 | 80 | 86 | 80 | 82 | 67 | 70 | 74 | 73 | 0 | 24 | 8,454,000$/3yrs | |||
![]() | 0 | D | 100.00 | 66 | 39 | 87 | 73 | 77 | 93 | 89 | 71 | 30 | 79 | 69 | 88 | 56 | 89 | 94 | 28 | 51 | 0 | 38 | 6,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 39 | 87 | 72 | 81 | 92 | 85 | 67 | 30 | 73 | 62 | 91 | 54 | 80 | 76 | 53 | 61 | 0 | 32 | 6,750,000$/5yrs | |||
![]() | 0 | D | 100.00 | 96 | 67 | 78 | 70 | 91 | 92 | 89 | 69 | 30 | 78 | 64 | 80 | 54 | 73 | 72 | 74 | 70 | 0 | 27 | 5,400,000$/1yrs | |||
![]() | 0 | D | 100.00 | 83 | 68 | 79 | 67 | 96 | 88 | 84 | 64 | 30 | 71 | 63 | 87 | 52 | 69 | 72 | 74 | 67 | 0 | 25 | 2,850,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 75 | 43 | 86 | 72 | 77 | 86 | 85 | 70 | 55 | 73 | 69 | 73 | 66 | 74 | 73 | 61 | 71 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 89 | 91 | 86 | 82 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 85 | 90 | 51 | 78 | 0 | 36 | 1,125,000$/2yrs |
![]() | 0 | 100.00 | 96 | 95 | 93 | 88 | 95 | 94 | 96 | 95 | 94 | 96 | 95 | 75 | 81 | 57 | 79 | 0 | 29 | 6,166,666$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 93 | 93 | 90 | 85 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 80 | 86 | 54 | 79 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Sullivan | 85 | 89 | 90 | 86 | 80 | 74 | 69 | USA | 53 | 1 | 3,500,000$ |
General Manager | Steven Belanger |
---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nick Schmaltz | 0 | C/RW | 7 | 1 | 6 | 7 | 1 | 0 | 0 | 5 | 23 | 12 | 24 | 4.35% | 3 | 18.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 46.15% | 13 | 5 | 0 | 0 | 0 | 1.09 | 0 | 0 | ||
2 | Sebastian Aho | 0 | C/LW/RW | 7 | 4 | 2 | 6 | -3 | 7 | 5 | 6 | 27 | 8 | 22 | 14.81% | 3 | 19.11 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 51.49% | 202 | 9 | 3 | 0 | 0 | 0.90 | 0 | 0 | ||
3 | Mark Giordano | 0 | D | 7 | 2 | 2 | 4 | -3 | 0 | 0 | 6 | 7 | 4 | 3 | 28.57% | 8 | 19.09 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 8 | 1 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.60 | 0 | 0 | ||
4 | Ryan Strome | 0 | C/RW | 5 | 2 | 1 | 3 | 0 | 0 | 0 | 2 | 12 | 2 | 6 | 16.67% | 0 | 12.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 46.88% | 32 | 0 | 2 | 0 | 0 | 0.95 | 0 | 0 | ||
5 | Tom Wilson | 0 | RW | 7 | 1 | 2 | 3 | -3 | 2 | 0 | 16 | 22 | 7 | 12 | 4.55% | 2 | 16.95 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 14 | 0 | 0 | 28.57% | 7 | 5 | 3 | 0 | 0 | 0.51 | 0 | 0 | ||
6 | Tyler Motte | 0 | C/LW/RW | 7 | 2 | 1 | 3 | -1 | 2 | 0 | 6 | 16 | 2 | 4 | 12.50% | 3 | 9.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 47.62% | 21 | 1 | 2 | 0 | 0 | 0.88 | 0 | 0 | ||
7 | Teddy Blueger | 0 | C/LW | 7 | 0 | 2 | 2 | 1 | 0 | 0 | 11 | 8 | 3 | 3 | 0.00% | 1 | 13.50 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 55.56% | 9 | 2 | 2 | 0 | 0 | 0.42 | 0 | 0 | ||
8 | Ryan McDonagh | 0 | D | 7 | 0 | 2 | 2 | 2 | 0 | 0 | 0 | 2 | 1 | 0 | 0.00% | 3 | 5.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.07 | 0 | 0 | ||
9 | David Perron | 0 | LW/RW | 7 | 2 | 0 | 2 | -1 | 2 | 0 | 15 | 19 | 4 | 8 | 10.53% | 4 | 16.50 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 4 | 0 | 0 | 37.50% | 8 | 4 | 1 | 0 | 0 | 0.35 | 0 | 0 | ||
10 | Mikhail Maltsev | 0 | C/LW | 7 | 2 | 0 | 2 | -1 | 0 | 0 | 4 | 10 | 4 | 4 | 20.00% | 2 | 8.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 47.83% | 23 | 1 | 1 | 0 | 0 | 0.70 | 0 | 0 | ||
11 | Alex Tuch | 0 | LW/RW | 7 | 1 | 1 | 2 | -3 | 2 | 0 | 10 | 18 | 6 | 18 | 5.56% | 1 | 20.85 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 6 | 0 | 0 | 33.33% | 15 | 3 | 3 | 0 | 0 | 0.27 | 0 | 0 | ||
12 | Nathan Gerbe | 0 | C/LW/RW | 7 | 0 | 1 | 1 | 1 | 2 | 0 | 2 | 2 | 2 | 1 | 0.00% | 0 | 3.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.87 | 0 | 0 | ||
13 | Cale Fleury | 0 | D | 7 | 0 | 1 | 1 | -1 | 6 | 0 | 10 | 3 | 2 | 0 | 0.00% | 2 | 15.89 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.18 | 0 | 0 | ||
14 | Mathieu Perreault | 0 | LW/RW | 7 | 0 | 1 | 1 | -1 | 2 | 0 | 3 | 6 | 4 | 8 | 0.00% | 1 | 8.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 1 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
15 | Seth Jones | 0 | D | 7 | 0 | 1 | 1 | 0 | 4 | 0 | 21 | 18 | 2 | 5 | 0.00% | 5 | 27.53 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 10 | 7 | 0 | 0 | 0.10 | 0 | 0 | ||
16 | Rasmus Ristolainen | 0 | D | 7 | 0 | 1 | 1 | -2 | 11 | 5 | 18 | 5 | 3 | 0 | 0.00% | 12 | 20.78 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 1 | 6 | 0 | 0 | 0.14 | 0 | 0 | ||
17 | Victor Soderstrom | 0 | D | 7 | 0 | 1 | 1 | -2 | 0 | 0 | 2 | 1 | 1 | 0 | 0.00% | 5 | 14.79 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 3 | 2 | 0 | 0 | 0.19 | 0 | 0 | ||
18 | Jared McCann | 0 | C/LW | 7 | 0 | 1 | 1 | -1 | 0 | 0 | 9 | 15 | 0 | 7 | 0.00% | 4 | 15.73 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 42.00% | 100 | 5 | 3 | 0 | 0 | 0.18 | 0 | 0 | ||
19 | Brandon Carlo | 0 | D | 7 | 0 | 1 | 1 | -2 | 4 | 0 | 11 | 5 | 2 | 2 | 0.00% | 6 | 17.65 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 1 | 5 | 0 | 0 | 0.16 | 0 | 0 | ||
20 | Matt Bartkowski | 0 | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 0.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
21 | Tomas Tatar | 0 | LW/RW | 7 | 0 | 0 | 0 | -1 | 2 | 0 | 17 | 13 | 6 | 9 | 0.00% | 3 | 17.62 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 13 | 0 | 0 | 45.00% | 20 | 3 | 3 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 140 | 17 | 27 | 44 | -20 | 46 | 10 | 175 | 232 | 75 | 136 | 7.33% | 68 | 14.92 | 0 | 0 | 0 | 59 | 0 | 0 | 0 | 106 | 3 | 1 | 47.23% | 451 | 54 | 48 | 0 | 0 | 0.42 | 0 | 0 |
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 | Connor Hellebuyck | 6 | 3 | 3 | 0 | 0.903 | 3.45 | 296 | 0 | 0 | 17 | 176 | 72 | 0 | 0 | 0.000 | 0 | 6 | 1 | 1 | 1 | 0 | |
2 | Jonathan Quick | 3 | 0 | 1 | 0 | 0.912 | 2.86 | 126 | 0 | 0 | 6 | 68 | 30 | 0 | 1 | 0.000 | 0 | 1 | 6 | 0 | 0 | 0 | |
Team Total or Average | 9 | 3 | 4 | 0 | 0.906 | 3.26 | 423 | 0 | 0 | 23 | 244 | 102 | 0 | 1 | 0.000 | 0 | 7 | 7 | 1 | 1 | 0 |
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 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 24 | -7 | 6 | 0.429 | 17 | 27 | 44 | 1 | 0 | 5 | 6 | 5 | 1 | 232 | 72 | 83 | 73 | 4 | 245 | 68 | 46 | 175 | 6 | 0 | 0.00% | 18 | 3 | 83.33% | 0 | 80 | 172 | 46.51% | 78 | 172 | 45.35% | 55 | 107 | 51.40% | 156 | 96 | 149 | 59 | 118 | 57 | 44.7% | 7.3% | 90.2% | 97.5 | Unlucky | |
_Vs Division | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 24 | -7 | 6 | 0.429 | 17 | 27 | 44 | 1 | 0 | 5 | 6 | 5 | 1 | 232 | 72 | 83 | 73 | 4 | 245 | 68 | 46 | 175 | 6 | 0 | 0.00% | 18 | 3 | 83.33% | 0 | 80 | 172 | 46.51% | 78 | 172 | 45.35% | 55 | 107 | 51.40% | 156 | 96 | 149 | 59 | 118 | 57 | 44.7% | 7.3% | 90.2% | 97.5 | Unlucky | |
_Vs Conference | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 24 | -7 | 6 | 0.429 | 17 | 27 | 44 | 1 | 0 | 5 | 6 | 5 | 1 | 232 | 72 | 83 | 73 | 4 | 245 | 68 | 46 | 175 | 6 | 0 | 0.00% | 18 | 3 | 83.33% | 0 | 80 | 172 | 46.51% | 78 | 172 | 45.35% | 55 | 107 | 51.40% | 156 | 96 | 149 | 59 | 118 | 57 | 44.7% | 7.3% | 90.2% | 97.5 | Unlucky | |
_Since Last GM Reset | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 24 | -7 | 6 | 0.429 | 17 | 27 | 44 | 1 | 0 | 5 | 6 | 5 | 1 | 232 | 72 | 83 | 73 | 4 | 245 | 68 | 46 | 175 | 6 | 0 | 0.00% | 18 | 3 | 83.33% | 0 | 80 | 172 | 46.51% | 78 | 172 | 45.35% | 55 | 107 | 51.40% | 156 | 96 | 149 | 59 | 118 | 57 | 44.7% | 7.3% | 90.2% | 97.5 | Unlucky | |
Total | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 24 | -7 | 6 | 0.429 | 17 | 27 | 44 | 1 | 0 | 5 | 6 | 5 | 1 | 232 | 72 | 83 | 73 | 4 | 245 | 68 | 46 | 175 | 6 | 0 | 0.00% | 18 | 3 | 83.33% | 0 | 80 | 172 | 46.51% | 78 | 172 | 45.35% | 55 | 107 | 51.40% | 156 | 96 | 149 | 59 | 118 | 57 | 44.7% | 7.3% | 90.2% | 97.5 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 172 |
Neutral Zone Start | 107 |
Defensive Zone Start | 172 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 213 |
Faceoffs Lost | 238 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 22.1 | 20.31 |
3rd Period | 32.6 | 30.68 |
Overtime | 33.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 16 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 2 | 1 |
Lost | 1 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 6 |
---|---|
PP Goal | 0 |
PK Attempt | 18 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 33.1 |
Shots Against | 35.0 |
Goals For | 2.4 |
Goals Against | 3.4 |
Hits | 25.0 |
Shots Blocked | 9.7 |
Pim | 6.6 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 85,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Coyotes Roster | Pos | Age | Cap Hit | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Tuch | LW/RW | 26 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||
Brandon Carlo | D | 25 | 2,850,000$ | 2,850,000$ | RFA | ||||||
Cale Fleury ![]() | D | 23 | 771,666$ | 771,666$ | RFA | ||||||
Connor Hellebuyck | G | 29 | 6,166,666$ | 6,166,666$ | 6,166,666$ | 6,166,666$ | UFA | ||||
David Perron | LW/RW | 33 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Jared McCann | C/LW | 25 | 2,600,000$ | 2,600,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |
Jonathan Quick | G | 36 | 1,125,000$ | 1,125,000$ | 1,125,000$ | UFA | |||||
Mark Giordano | D | 38 | 6,750,000$ | 6,750,000$ | UFA | ||||||
Mathieu Perreault | LW/RW | 34 | 950,000$ | 950,000$ | UFA | ||||||
Matt Bartkowski ![]() | D | 33 | 750,000$ | 750,000$ | UFA | ||||||
Mikhail Maltsev ![]() | C/LW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Nathan Gerbe ![]() | C/LW/RW | 34 | 600,000$ | 750,000$ | UFA | ||||||
Nick Schmaltz | C/RW | 26 | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | UFA | ||
Rasmus Ristolainen | D | 27 | 5,400,000$ | 5,400,000$ | |||||||
Ryan McDonagh | D | 32 | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | UFA | ||
Ryan Strome | C/RW | 28 | 4,775,000$ | 4,775,000$ | 4,775,000$ | 4,775,000$ | 4,775,000$ | UFA | |||
Sebastian Aho | C/LW/RW | 24 | 8,454,000$ | 8,454,000$ | 8,454,000$ | 8,454,000$ | |||||
Seth Jones | D | 27 | 5,400,000$ | 5,400,000$ | |||||||
Teddy Blueger ![]() | C/LW | 27 | 2,200,000$ | 2,200,000$ | 2,200,000$ | ||||||
Tom Wilson ![]() | RW | 28 | 5,166,666$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | UFA | ||||
Tomas Tatar | LW/RW | 31 | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA | |||||
Tyler Motte | C/LW/RW | 27 | 750,000$ | 750,000$ | |||||||
Victor Soderstrom ![]() | D | 21 | 925,000$ | 925,000$ | RFA |
Non-Roster | Pos | Age | Cap Hit | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 |
---|---|---|---|---|---|---|---|---|---|---|---|
Connor Ingram ![]() | G | 25 | 750,000$ | 750,000$ | 750,000$ | ||||||
Taylor Raddysh ![]() | RW | 24 | 850,000$ | 1,500,000$ | RFA | ||||||
Veini Vehvilainen ![]() | G | 25 | 750,000$ | 750,000$ | RFA |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
|
| |||||
|
| ||||||
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
| |||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
|
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 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 24 | -7 | 6 | 0.429 | 17 | 27 | 44 | 1 | 0 | 5 | 6 | 5 | 1 | 232 | 72 | 83 | 73 | 4 | 245 | 68 | 46 | 175 | 6 | 0 | 0.00% | 18 | 3 | 83.33% | 0 | 80 | 172 | 46.51% | 78 | 172 | 45.35% | 55 | 107 | 51.40% | 156 | 96 | 149 | 59 | 118 | 57 | 44.7% | 7.3% | 90.2% | 97.5 | Unlucky | |
_Vs Division | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 24 | -7 | 6 | 0.429 | 17 | 27 | 44 | 1 | 0 | 5 | 6 | 5 | 1 | 232 | 72 | 83 | 73 | 4 | 245 | 68 | 46 | 175 | 6 | 0 | 0.00% | 18 | 3 | 83.33% | 0 | 80 | 172 | 46.51% | 78 | 172 | 45.35% | 55 | 107 | 51.40% | 156 | 96 | 149 | 59 | 118 | 57 | 44.7% | 7.3% | 90.2% | 97.5 | Unlucky | |
_Vs Conference | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 24 | -7 | 6 | 0.429 | 17 | 27 | 44 | 1 | 0 | 5 | 6 | 5 | 1 | 232 | 72 | 83 | 73 | 4 | 245 | 68 | 46 | 175 | 6 | 0 | 0.00% | 18 | 3 | 83.33% | 0 | 80 | 172 | 46.51% | 78 | 172 | 45.35% | 55 | 107 | 51.40% | 156 | 96 | 149 | 59 | 118 | 57 | 44.7% | 7.3% | 90.2% | 97.5 | Unlucky | |
_Since Last GM Reset | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 24 | -7 | 6 | 0.429 | 17 | 27 | 44 | 1 | 0 | 5 | 6 | 5 | 1 | 232 | 72 | 83 | 73 | 4 | 245 | 68 | 46 | 175 | 6 | 0 | 0.00% | 18 | 3 | 83.33% | 0 | 80 | 172 | 46.51% | 78 | 172 | 45.35% | 55 | 107 | 51.40% | 156 | 96 | 149 | 59 | 118 | 57 | 44.7% | 7.3% | 90.2% | 97.5 | Unlucky | |
Total | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 24 | -7 | 6 | 0.429 | 17 | 27 | 44 | 1 | 0 | 5 | 6 | 5 | 1 | 232 | 72 | 83 | 73 | 4 | 245 | 68 | 46 | 175 | 6 | 0 | 0.00% | 18 | 3 | 83.33% | 0 | 80 | 172 | 46.51% | 78 | 172 | 45.35% | 55 | 107 | 51.40% | 156 | 96 | 149 | 59 | 118 | 57 | 44.7% | 7.3% | 90.2% | 97.5 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 172 |
Neutral Zone Start | 107 |
Defensive Zone Start | 172 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 213 |
Faceoffs Lost | 238 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 22.1 | 20.31 |
3rd Period | 32.6 | 30.68 |
Overtime | 33.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 16 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 2 | 1 |
Lost | 1 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 6 |
---|---|
PP Goal | 0 |
PK Attempt | 18 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 33.1 |
Shots Against | 35.0 |
Goals For | 2.4 |
Goals Against | 3.4 |
Hits | 25.0 |
Shots Blocked | 9.7 |
Pim | 6.6 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2022-04-27 | VS | ARI2,DAL4 | RECAP | ||
2022-04-29 | VS | ARI4,DAL3 (OT) | RECAP | ||
2022-05-01 | VS | DAL1,ARI3 | RECAP | ||
2022-05-03 | VS | DAL6,ARI1 | RECAP | ||
2022-05-05 | VS | ARI2,DAL5 | RECAP | ||
2022-05-07 | VS | DAL2,ARI3 | RECAP | ||
2022-05-09 | VS | ARI2,DAL3 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,083,998$ | 0$ | 0$ | 85,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Gila River Arena | |
City | Arizona | ||
Capacity | 17799 | ||
Season Ticket Holders | 60% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 3799 | 1000 |
Ticket Price | 100$ | 80$ | 55$ | 30$ | 200$ |
Attendance | 18000 | 15000 | 6000 | 11397 | 3000 |
Attendance PCT | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
38 | 17799 - 100.00% | 1,779,962$ | 5,339,886$ | 17799 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,083,998$ | 80,933,998$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 9 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 47,445,273$ | 47,445,273$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
2022 | |||||
2023 | |||||
2024 | |||||
2025 | |||||
2026 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alexandre Alain | |||||
Jesse Ylonen | |||||
Ryker Evans | |||||
Vladislav kolyachonok |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
2022 | |||||
2023 | |||||
2024 | |||||
2025 | |||||
2026 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alexandre Alain | |||||
Jesse Ylonen | |||||
Ryker Evans | |||||
Vladislav kolyachonok |
|