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Full Scoreboard ยป |
Arizona Coyotes 40-33-7, 87pts · 7th in Western Conference |
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 | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 56 | 12 | 89 | 90 | 68 | 91 | 93 | 87 | 83 | 83 | 78 | 56 | 25 | 60 | 61 | 75 | 69 | 74 | 21 | 7,250,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 56 | 29 | 69 | 89 | 71 | 89 | 99 | 79 | 80 | 89 | 87 | 42 | 25 | 65 | 65 | 79 | 69 | 73 | 25 | 3,750,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 58 | 11 | 99 | 84 | 85 | 86 | 95 | 80 | 40 | 83 | 80 | 49 | 38 | 62 | 63 | 75 | 69 | 72 | 24 | 4,750,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 56 | 13 | 89 | 84 | 69 | 87 | 99 | 67 | 90 | 76 | 71 | 48 | 59 | 81 | 83 | 74 | 69 | 70 | 32 | 3,465,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 52 | 20 | 90 | 83 | 71 | 91 | 96 | 72 | 40 | 79 | 84 | 48 | 25 | 64 | 64 | 76 | 69 | 70 | 28 | 3,375,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 54 | 26 | 82 | 84 | 71 | 92 | 85 | 83 | 80 | 69 | 75 | 59 | 25 | 62 | 63 | 73 | 69 | 70 | 25 | 3,500,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 53 | 13 | 92 | 74 | 76 | 88 | 88 | 68 | 37 | 68 | 65 | 69 | 77 | 85 | 88 | 73 | 69 | 69 | 36 | 5,750,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 75 | 20 | 59 | 76 | 85 | 85 | 85 | 74 | 33 | 78 | 68 | 55 | 25 | 63 | 64 | 70 | 65 | 68 | 24 | 1,498,925$/1yrs | |||
![]() | 0 | C | 100.00 | 60 | 24 | 88 | 82 | 76 | 80 | 90 | 71 | 87 | 70 | 71 | 54 | 75 | 60 | 61 | 69 | 69 | 68 | 21 | 1,500,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 81 | 47 | 83 | 78 | 75 | 80 | 73 | 60 | 37 | 66 | 71 | 70 | 25 | 49 | 50 | 72 | 69 | 66 | 26 | 1,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 46 | 28 | 86 | 79 | 60 | 86 | 95 | 78 | 63 | 70 | 72 | 51 | 74 | 41 | 41 | 92 | 69 | 66 | 19 | 925,000$/2yrs | |||
![]() | 0 | C | 100.00 | 55 | 41 | 85 | 74 | 76 | 81 | 95 | 75 | 68 | 65 | 71 | 56 | 71 | 43 | 43 | 92 | 54 | 66 | 19 | 925,000$/2yrs | |||
![]() | 0 | D | 99.00 | 54 | 13 | 91 | 87 | 81 | 99 | 81 | 84 | 25 | 71 | 51 | 86 | 25 | 67 | 67 | 66 | 68 | 75 | 27 | 4,167,000$/3yrs | |||
![]() | 0 | D | 99.00 | 73 | 30 | 77 | 86 | 82 | 95 | 91 | 58 | 25 | 49 | 47 | 87 | 25 | 66 | 66 | 63 | 68 | 73 | 23 | 2,850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 84 | 30 | 75 | 73 | 76 | 88 | 93 | 59 | 25 | 55 | 49 | 97 | 25 | 57 | 58 | 63 | 69 | 73 | 25 | 4,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 69 | 16 | 90 | 73 | 82 | 90 | 95 | 63 | 25 | 57 | 49 | 82 | 25 | 60 | 60 | 64 | 69 | 71 | 26 | 1,600,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 28 | 82 | 76 | 72 | 90 | 91 | 61 | 25 | 55 | 51 | 76 | 25 | 64 | 64 | 60 | 18 | 69 | 26 | 1,850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 43 | 8 | 99 | 83 | 67 | 90 | 81 | 62 | 25 | 56 | 49 | 80 | 25 | 58 | 58 | 61 | 21 | 67 | 22 | 1,100,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/RW | 100.00 | 57 | 37 | 85 | 68 | 69 | 92 | 82 | 57 | 71 | 54 | 56 | 41 | 53 | 46 | 46 | 59 | 52 | 58 | 23 | 5,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 59 | 11 | 99 | 66 | 72 | 73 | 79 | 52 | 56 | 57 | 54 | 48 | 25 | 52 | 52 | 63 | 22 | 57 | 24 | 750,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 61 | 39 | 92 | 61 | 70 | 72 | 57 | 57 | 50 | 47 | 62 | 53 | 59 | 45 | 45 | 60 | 51 | 56 | 26 | 2,000,000$/1yrs | |||
![]() | 0 | D | 94.69 | 64 | 15 | 84 | 83 | 81 | 92 | 69 | 81 | 25 | 63 | 50 | 78 | 25 | 63 | 63 | 63 | 52 | 71 | 22 | 4,600,000$/3yrs | |||
![]() | 0 | D | 100.00 | 58 | 13 | 95 | 85 | 72 | 96 | 64 | 73 | 25 | 72 | 49 | 75 | 25 | 68 | 70 | 65 | 27 | 70 | 30 | 2,500,000$/3yrs | |||
TEAM AVERAGE | 99.68 | 61 | 23 | 86 | 79 | 74 | 88 | 86 | 70 | 48 | 67 | 63 | 63 | 38 | 60 | 61 | 70 | 58 | 68 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 83 | 62 | 75 | 79 | 84 | 79 | 80 | 80 | 91 | 82 | 40 | 49 | 49 | 76 | 74 | 75 | 28 | 1,650,000$/1yrs |
![]() | 0 | 100.00 | 71 | 70 | 81 | 75 | 75 | 65 | 46 | 68 | 79 | 70 | 45 | 47 | 47 | 65 | 49 | 65 | 26 | 1,000,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 84 | 79 | 91 | 74 | 83 | 86 | 87 | 89 | 88 | 82 | 88 | 59 | 59 | 79 | 67 | 79 | 26 | 4,000,000$/4yrs |
TEAM AVERAGE | 99.67 | 79 | 70 | 82 | 76 | 81 | 77 | 71 | 79 | 86 | 78 | 58 | 52 | 52 | 73 | 63 | 73 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jared Bednar | 66 | 74 | 86 | 56 | 74 | 55 | 66 | CAN | 44 | 4 | 2,500,000$ |
General Manager | Flavio Gomes |
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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 | Max Domi | 0 | C/LW | 80 | 31 | 55 | 86 | 10 | 118 | 0 | 148 | 393 | 101 | 189 | 7.89% | 33 | 20.96 | 8 | 12 | 20 | 155 | 1 | 0 | 1 | 175 | 4 | 1 | 51.61% | 124 | 98 | 27 | 0 | 0 | 1.03 | 0 | 6 | |
2 | Nico Hischier | 0 | C | 80 | 38 | 43 | 81 | 9 | 6 | 0 | 110 | 344 | 102 | 168 | 11.05% | 35 | 20.99 | 3 | 8 | 11 | 151 | 2 | 2 | 4 | 210 | 5 | 1 | 49.15% | 2246 | 74 | 27 | 0 | 1 | 0.96 | 1 | 6 | |
3 | Alex Tuch | 0 | LW/RW | 80 | 24 | 36 | 60 | -3 | 0 | 0 | 99 | 279 | 82 | 146 | 8.60% | 33 | 18.53 | 5 | 3 | 8 | 154 | 1 | 2 | 3 | 222 | 4 | 1 | 31.37% | 322 | 72 | 19 | 0 | 0 | 0.81 | 1 | 4 | |
4 | Bryan Little | 0 | C/RW | 80 | 26 | 30 | 56 | -3 | 14 | 0 | 52 | 210 | 60 | 109 | 12.38% | 18 | 14.87 | 7 | 8 | 15 | 157 | 0 | 0 | 0 | 9 | 1 | 4 | 52.30% | 998 | 51 | 17 | 1 | 0 | 0.94 | 2 | 6 | |
5 | Nolan Patrick | 0 | C | 80 | 18 | 24 | 42 | -1 | 28 | 0 | 80 | 139 | 30 | 66 | 12.95% | 22 | 14.08 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 4 | 1 | 50.51% | 1077 | 25 | 19 | 0 | 0 | 0.75 | 1 | 1 | |
6 | Oscar Klefbom | 0 | D | 80 | 4 | 37 | 41 | 20 | 28 | 0 | 69 | 149 | 57 | 68 | 2.68% | 144 | 26.52 | 2 | 6 | 8 | 157 | 1 | 0 | 1 | 219 | 1 | 0 | 0.00% | 1 | 42 | 74 | 0 | 0 | 0.39 | 0 | 0 | |
7 | J.T. Compher | 0 | C/RW | 80 | 19 | 22 | 41 | 13 | 6 | 0 | 38 | 163 | 78 | 107 | 11.66% | 11 | 9.78 | 4 | 8 | 12 | 155 | 0 | 0 | 0 | 0 | 3 | 2 | 52.82% | 248 | 31 | 7 | 0 | 0 | 1.05 | 0 | 0 | |
8 | Nick Ritchie | 0 | LW | 80 | 12 | 26 | 38 | 3 | 85 | 5 | 141 | 218 | 57 | 95 | 5.50% | 22 | 13.23 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 53 | 3 | 1 | 28.00% | 75 | 42 | 17 | 0 | 0 | 0.72 | 0 | 0 | |
9 | Alex Steen | 0 | C/LW/RW | 80 | 17 | 18 | 35 | 12 | 10 | 0 | 84 | 117 | 40 | 92 | 14.53% | 49 | 21.32 | 1 | 7 | 8 | 155 | 2 | 2 | 4 | 213 | 2 | 0 | 36.22% | 127 | 23 | 41 | 0 | 0 | 0.41 | 0 | 3 | |
10 | Ryan Dzingel | 0 | LW/RW | 80 | 18 | 13 | 31 | -5 | 20 | 0 | 44 | 158 | 59 | 87 | 11.39% | 15 | 13.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 31.82% | 66 | 38 | 21 | 0 | 0 | 0.58 | 0 | 0 | |
11 | Brandon Carlo | 0 | D | 80 | 4 | 25 | 29 | 23 | 98 | 0 | 166 | 111 | 42 | 51 | 3.60% | 139 | 25.98 | 1 | 3 | 4 | 157 | 0 | 1 | 1 | 189 | 1 | 0 | 0.00% | 0 | 9 | 89 | 0 | 0 | 0.28 | 0 | 0 | |
12 | Robert Hagg | 0 | D | 80 | 4 | 21 | 25 | 5 | 66 | 0 | 125 | 85 | 39 | 40 | 4.71% | 113 | 19.99 | 3 | 4 | 7 | 156 | 0 | 1 | 1 | 194 | 1 | 0 | 0.00% | 0 | 7 | 64 | 0 | 0 | 0.31 | 0 | 0 | |
13 | Jakob Pelletier | 0 | C/LW | 80 | 12 | 11 | 23 | 0 | 10 | 0 | 24 | 131 | 43 | 74 | 9.16% | 16 | 12.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 31.71% | 41 | 29 | 4 | 0 | 0 | 0.47 | 0 | 0 | |
14 | Zach Aston-Reese | 0 | LW/RW | 80 | 9 | 12 | 21 | 16 | 16 | 0 | 68 | 91 | 25 | 44 | 9.89% | 21 | 7.60 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 2 | 1 | 37.50% | 8 | 8 | 11 | 0 | 0 | 0.69 | 0 | 0 | |
15 | Justin Schultz | 0 | D | 62 | 1 | 9 | 10 | 1 | 2 | 0 | 16 | 33 | 9 | 21 | 3.03% | 51 | 14.29 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 69 | 0 | 0 | 0.00% | 0 | 9 | 43 | 0 | 0 | 0.23 | 0 | 0 | |
16 | Jakob Chychrun | 0 | D | 78 | 0 | 9 | 9 | 1 | 28 | 0 | 39 | 64 | 19 | 36 | 0.00% | 88 | 15.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 7 | 45 | 0 | 0 | 0.15 | 0 | 0 | |
17 | Adam Pelech | 0 | D | 80 | 3 | 6 | 9 | -2 | 10 | 0 | 67 | 64 | 29 | 36 | 4.69% | 97 | 18.56 | 2 | 2 | 4 | 157 | 0 | 0 | 0 | 224 | 0 | 0 | 0.00% | 0 | 10 | 66 | 0 | 0 | 0.12 | 1 | 1 | |
18 | Brett Kulak | 0 | D | 20 | 0 | 2 | 2 | -5 | 17 | 5 | 16 | 8 | 4 | 1 | 0.00% | 20 | 14.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 1 | 17 | 0 | 0 | 0.14 | 0 | 0 | |
19 | Victor Mete | 0 | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 14.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
20 | Raphael Lavoie | 0 | C | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 6.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 1363 | 240 | 399 | 639 | 96 | 562 | 10 | 1386 | 2758 | 876 | 1430 | 8.70% | 927 | 16.91 | 36 | 61 | 97 | 1577 | 7 | 9 | 16 | 1808 | 36 | 14 | 48.19% | 5333 | 576 | 608 | 1 | 1 | 0.55 | 6 | 27 |
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 | Matt Murray | Coyotes | 65 | 37 | 25 | 3 | 0.915 | 2.97 | 3815 | 6 | 0 | 189 | 2233 | 1022 | 1 | 1 | 0.950 | 20 | 65 | 8 | 9 | 4 | 4 |
2 | Jack Campbell | Coyotes | 19 | 3 | 8 | 4 | 0.895 | 3.53 | 1002 | 0 | 0 | 59 | 563 | 250 | 1 | 0 | 0.600 | 5 | 15 | 62 | 2 | 1 | 0 |
Team Total or Average | 84 | 40 | 33 | 7 | 0.911 | 3.09 | 4818 | 6 | 0 | 248 | 2796 | 1272 | 2 | 1 | 0.880 | 25 | 80 | 70 | 11 | 5 | 4 |
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 | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 13 | 18 | -5 | 4 | 0.500 | 13 | 21 | 34 | 0 | 0 | 3 | 2 | 7 | 1 | 148 | 54 | 41 | 50 | 6 | 144 | 68 | 34 | 88 | 5 | 0 | 0.00% | 17 | 6 | 64.71% | 1 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 93 | 57 | 86 | 33 | 64 | 32 | 52.0% | 8.8% | 87.5% | 96.3 | Unlucky | |
2 | 4 | 1 | 1 | 0 | 0 | 2 | 0 | 0 | 11 | 14 | -3 | 4 | 0.500 | 11 | 20 | 31 | 0 | 0 | 3 | 3 | 5 | 0 | 135 | 50 | 45 | 38 | 2 | 146 | 49 | 22 | 65 | 4 | 2 | 50.00% | 11 | 2 | 81.82% | 0 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 83 | 50 | 91 | 34 | 67 | 32 | 42.9% | 8.1% | 90.4% | 98.6 | Unlucky | |
3 | 5 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 17 | 15 | 2 | 5 | 0.500 | 17 | 30 | 47 | 0 | 0 | 2 | 7 | 8 | 0 | 175 | 61 | 56 | 57 | 1 | 185 | 42 | 30 | 109 | 14 | 3 | 21.43% | 15 | 3 | 80.00% | 2 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 107 | 66 | 109 | 42 | 83 | 42 | 53.8% | 9.7% | 91.9% | 101.6 | LUCKY | |
4 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 13 | 2 | 6 | 0.750 | 15 | 25 | 40 | 0 | 0 | 4 | 4 | 7 | 0 | 147 | 51 | 46 | 50 | 0 | 124 | 48 | 28 | 70 | 12 | 2 | 16.67% | 14 | 5 | 64.29% | 0 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 82 | 49 | 90 | 34 | 66 | 33 | 61.9% | 10.2% | 89.5% | 99.7 | FUN | |
5 | 5 | 0 | 3 | 0 | 0 | 1 | 0 | 1 | 9 | 18 | -9 | 2 | 0.200 | 9 | 12 | 21 | 0 | 0 | 2 | 6 | 1 | 1 | 189 | 50 | 64 | 72 | 8 | 182 | 53 | 57 | 82 | 8 | 1 | 12.50% | 23 | 5 | 78.26% | 0 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 110 | 67 | 113 | 43 | 83 | 38 | 38.1% | 4.8% | 90.1% | 94.9 | Unlucky | |
6 | 6 | 1 | 4 | 0 | 1 | 0 | 0 | 0 | 14 | 22 | -8 | 4 | 0.333 | 14 | 27 | 41 | 0 | 0 | 1 | 6 | 6 | 1 | 194 | 74 | 55 | 62 | 3 | 203 | 62 | 38 | 116 | 20 | 2 | 10.00% | 19 | 6 | 68.42% | 0 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 127 | 74 | 132 | 52 | 101 | 50 | 42.9% | 7.2% | 89.2% | 96.4 | Unlucky | |
7 | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 24 | 9 | 15 | 10 | 0.833 | 24 | 33 | 57 | 0 | 0 | 7 | 8 | 9 | 0 | 227 | 86 | 68 | 73 | 0 | 221 | 83 | 48 | 93 | 7 | 0 | 0.00% | 24 | 2 | 91.67% | 3 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 134 | 85 | 129 | 50 | 95 | 46 | 77.4% | 10.6% | 95.9% | 106.5 | LUCKY | |
8 | 5 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 20 | 14 | 6 | 8 | 0.800 | 20 | 32 | 52 | 0 | 0 | 7 | 9 | 3 | 1 | 190 | 65 | 66 | 55 | 10 | 164 | 48 | 29 | 104 | 19 | 1 | 5.26% | 13 | 4 | 69.23% | 0 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 112 | 67 | 107 | 43 | 85 | 43 | 65.5% | 10.5% | 91.5% | 102.0 | LUCKY | |
9 | 7 | 2 | 4 | 0 | 0 | 0 | 1 | 0 | 17 | 20 | -3 | 6 | 0.429 | 17 | 25 | 42 | 0 | 0 | 4 | 7 | 5 | 1 | 252 | 72 | 100 | 74 | 9 | 238 | 61 | 38 | 123 | 18 | 3 | 16.67% | 19 | 6 | 68.42% | 0 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 146 | 88 | 162 | 59 | 115 | 57 | 50.0% | 6.7% | 91.6% | 98.3 | DULL | |
10 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 3 | 2 | 1 | 1 | 72 | 27 | 25 | 18 | 7 | 74 | 26 | 14 | 37 | 9 | 3 | 33.33% | 7 | 0 | 100.00% | 0 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 46 | 28 | 45 | 18 | 33 | 16 | 50.0% | 9.7% | 94.6% | 104.3 | LUCKY | |
11 | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 8 | 12 | -4 | 3 | 0.375 | 8 | 15 | 23 | 0 | 0 | 1 | 2 | 5 | 0 | 142 | 40 | 46 | 48 | 11 | 125 | 58 | 38 | 73 | 7 | 0 | 0.00% | 19 | 7 | 63.16% | 1 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 87 | 53 | 89 | 36 | 67 | 31 | 61.5% | 5.6% | 90.4% | 96.0 | Unlucky | |
12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 2 | 1 | 0 | 0 | 64 | 28 | 24 | 12 | 0 | 63 | 23 | 18 | 38 | 8 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 43 | 24 | 42 | 18 | 34 | 16 | 37.5% | 4.7% | 90.5% | 95.2 | Unlucky | |
13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 4 | 1.000 | 12 | 20 | 32 | 0 | 0 | 3 | 4 | 5 | 0 | 75 | 18 | 36 | 21 | 0 | 71 | 23 | 18 | 32 | 7 | 4 | 57.14% | 9 | 3 | 66.67% | 0 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 44 | 27 | 42 | 18 | 32 | 15 | 61.5% | 16.0% | 88.7% | 104.7 | FUN | |
14 | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 22 | 14 | 8 | 10 | 0.833 | 22 | 36 | 58 | 0 | 0 | 8 | 7 | 7 | 0 | 210 | 81 | 69 | 60 | 0 | 215 | 80 | 30 | 118 | 15 | 3 | 20.00% | 15 | 2 | 86.67% | 0 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 130 | 79 | 127 | 51 | 101 | 52 | 61.3% | 10.5% | 93.5% | 104.0 | LUCKY | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 0 | 4 | 3 | 0 | 65 | 21 | 28 | 16 | 0 | 62 | 24 | 16 | 28 | 2 | 1 | 50.00% | 8 | 1 | 87.50% | 0 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 41 | 25 | 46 | 18 | 32 | 15 | 54.5% | 10.8% | 90.3% | 101.1 | FUN | |
16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 2 | 3 | 4 | 0 | 77 | 28 | 25 | 24 | 0 | 62 | 22 | 12 | 41 | 5 | 2 | 40.00% | 6 | 2 | 66.67% | 0 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 42 | 26 | 43 | 17 | 33 | 16 | 53.8% | 11.7% | 87.1% | 98.8 | FUN | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 1 | 2 | 4 | 0 | 65 | 25 | 19 | 21 | 0 | 78 | 21 | 16 | 29 | 3 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 38 | 21 | 46 | 19 | 35 | 16 | 58.3% | 10.8% | 92.3% | 103.1 | LUCKY | |
18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 3 | 0 | 0 | 60 | 19 | 22 | 19 | 0 | 82 | 31 | 14 | 28 | 6 | 2 | 33.33% | 7 | 2 | 71.43% | 0 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 38 | 23 | 50 | 16 | 30 | 14 | 33.3% | 6.7% | 92.7% | 99.3 | DULL | |
19 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 72 | 19 | 30 | 23 | 0 | 77 | 25 | 12 | 33 | 9 | 1 | 11.11% | 6 | 0 | 100.00% | 0 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 40 | 22 | 43 | 18 | 35 | 17 | 28.6% | 6.9% | 87.0% | 94.0 | Unlucky | |
20 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 7 | 2 | 3 | 0.750 | 9 | 12 | 21 | 0 | 0 | 1 | 6 | 2 | 0 | 75 | 11 | 33 | 28 | 3 | 72 | 21 | 14 | 26 | 9 | 3 | 33.33% | 8 | 0 | 100.00% | 0 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 44 | 26 | 45 | 18 | 32 | 15 | 46.2% | 12.0% | 90.3% | 102.3 | FUN | |
21 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 6 | 11 | 0 | 0 | 0 | 3 | 1 | 1 | 62 | 22 | 19 | 20 | 1 | 69 | 18 | 16 | 39 | 0 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 40 | 23 | 47 | 18 | 34 | 15 | 62.5% | 8.1% | 95.7% | 103.7 | DULL | |
22 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 13 | -8 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 74 | 35 | 16 | 23 | 0 | 84 | 22 | 16 | 32 | 7 | 2 | 28.57% | 8 | 3 | 62.50% | 0 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 40 | 25 | 46 | 18 | 33 | 15 | 23.1% | 6.8% | 84.5% | 91.3 | Unlucky | |
23 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 13 | 20 | 1 | 0 | 1 | 2 | 4 | 0 | 67 | 29 | 16 | 22 | 0 | 67 | 26 | 20 | 34 | 6 | 1 | 16.67% | 10 | 2 | 80.00% | 0 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 42 | 24 | 45 | 17 | 32 | 16 | 60.0% | 10.4% | 91.0% | 101.5 | FUN | |
_Vs Division | 30 | 16 | 11 | 0 | 1 | 0 | 2 | 0 | 97 | 79 | 18 | 38 | 0.633 | 97 | 153 | 250 | 0 | 0 | 27 | 37 | 30 | 3 | 1073 | 378 | 358 | 324 | 22 | 1041 | 334 | 183 | 554 | 79 | 9 | 11.39% | 90 | 20 | 77.78% | 3 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 650 | 394 | 660 | 257 | 500 | 249 | 59.9% | 9.0% | 92.4% | 101.5 | LUCKY | |
_Vs Conference | 56 | 24 | 22 | 0 | 1 | 4 | 3 | 2 | 170 | 169 | 1 | 62 | 0.554 | 170 | 276 | 446 | 0 | 0 | 42 | 61 | 63 | 5 | 2009 | 684 | 656 | 639 | 50 | 1947 | 652 | 392 | 1041 | 129 | 17 | 13.18% | 189 | 48 | 74.60% | 7 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 1216 | 739 | 1242 | 483 | 933 | 461 | 55.8% | 8.5% | 91.3% | 99.8 | DULL | |
_Since Last GM Reset | 80 | 34 | 33 | 0 | 2 | 5 | 4 | 2 | 250 | 252 | -2 | 87 | 0.544 | 250 | 405 | 655 | 1 | 0 | 58 | 95 | 91 | 7 | 2837 | 966 | 949 | 886 | 61 | 2808 | 934 | 578 | 1438 | 200 | 36 | 18.00% | 284 | 63 | 77.82% | 7 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 1720 | 1039 | 1787 | 701 | 1335 | 652 | 53.1% | 8.8% | 91.0% | 99.8 | Unlucky | |
Total | 80 | 34 | 33 | 0 | 2 | 5 | 4 | 2 | 250 | 252 | -2 | 87 | 0.544 | 250 | 405 | 655 | 1 | 0 | 58 | 95 | 91 | 7 | 2837 | 966 | 949 | 886 | 61 | 2808 | 934 | 578 | 1438 | 200 | 36 | 18.00% | 284 | 63 | 77.82% | 7 | 1000 | 2039 | 49.04% | 1012 | 2067 | 48.96% | 566 | 1186 | 47.72% | 1720 | 1039 | 1787 | 701 | 1335 | 652 | 53.1% | 8.8% | 91.0% | 99.8 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 16 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 2039 |
Neutral Zone Start | 1186 |
Defensive Zone Start | 2067 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2578 |
Faceoffs Lost | 2714 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.1 | 9.57 |
2nd Period | 23.9 | 20.31 |
3rd Period | 35.0 | 30.68 |
Overtime | 35.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 206 |
---|---|
PP Goal | 36 |
PK Goal | 7 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 22 | 18 |
Lost | 17 | 16 |
Overtime Lost | 1 | 6 |
PP Attempt | 200 |
---|---|
PP Goal | 36 |
PK Attempt | 284 |
PK Goal Against | 63 |
Home | |
---|---|
Shots For | 35.5 |
Shots Against | 35.1 |
Goals For | 3.1 |
Goals Against | 3.2 |
Hits | 18.0 |
Shots Blocked | 11.7 |
Pim | 7.2 |
Projected Total Cap Hit | 66,655,925$ |
Projected Cap Space | 14,844,075$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 61,316,589$ |
Players In Salary Cap | 25 |
LTIR Players | 1 |
Player Name | Pos | Age | Cap Hit | 2012-2013 | 2013-2014 | 2014-2015 | 2015-2016 | 2016-2017 | 2017-2018 | 2018-2019 | 2019-2020 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Pelech ![]() | D | 26 | 1,600,000$ | 1,600,000$ | |||||||
Alex Steen | C/LW/RW | 36 | 5,750,000$ | 5,750,000$ | |||||||
Alex Tuch | LW/RW | 24 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | |||||
Brandon Carlo ![]() | D | 23 | 2,850,000$ | 2,850,000$ | |||||||
Brett Kulak ![]() | D | 26 | 1,850,000$ | 1,850,000$ | 1,850,000$ | ||||||
Bryan Little ![]() | C/RW | 32 | 3,465,000$ | 3,465,000$ | 3,465,000$ | ||||||
C.J. Suess ![]() | LW | 26 | 2,000,000$ | 2,000,000$ | |||||||
Cameron Hebig ![]() | C/RW | 23 | 5,000,000$ | 5,000,000$ | |||||||
Christoffer Ehn ![]() | C/LW/RW | 24 | 750,000$ | 750,000$ | |||||||
Collin Delia ![]() | C | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
J.T. Compher ![]() | C/RW | 25 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Jack Campbell ![]() | D | 28 | 1,650,000$ | 1,650,000$ | |||||||
Jakob Chychrun | D | 22 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | |||||
Jakob Pelletier ![]() | C/LW | 19 | 925,000$ | 925,000$ | 925,000$ | ||||||
Justin Schultz ![]() | D | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | |||||
Matt Murray | D | 26 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | ||||
Max Domi ![]() | C/LW | 25 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | ||||
Nick Ritchie ![]() | LW | 24 | 1,498,925$ | 1,498,925$ | |||||||
Nico Hischier | C | 21 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | |||||
Nolan Patrick ![]() | C | 21 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Oscar Klefbom ![]() | D | 27 | 4,167,000$ | 4,167,000$ | 4,167,000$ | 4,167,000$ | |||||
Raphael Lavoie ![]() | C | 19 | 925,000$ | 925,000$ | 925,000$ | ||||||
Robert Hagg | D | 25 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | |||||
Ryan Dzingel ![]() | LW/RW | 28 | 3,375,000$ | 3,375,000$ | |||||||
Victor Mete ![]() | D | 22 | 1,100,000$ | 1,100,000$ | |||||||
Zach Aston-Reese ![]() | LW/RW | 26 | 1,000,000$ | 1,000,000$ |
Forward Lines | |||||||
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Dawson Mercer | 2 | 7 | |||
Ethan Bowen | 2 | 43 | |||
Ethan Edwards | 2 | 75 | |||
Helge Grans | 2 | 30 | |||
John St. Ivany | 1 | ||||
Keith Petruzzelli | 1 | ||||
Leo Loof | 2 | 62 | |||
Philipp Kurashev | 1 | ||||
Shane Bowers | 1 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-08-18 | @ | Coyotes2,Jets3 | RECAP | |||||||||||
2020-08-19 | @ | Jets5,Coyotes1 | RECAP | |||||||||||
2020-08-21 | @ | Coyotes3,Wild1 | RECAP | |||||||||||
2020-08-24 | @ | Oilers2,Coyotes6 | RECAP | |||||||||||
2020-08-25 | @ | Avalanche4,Coyotes2 | RECAP | |||||||||||
2020-08-27 | @ | Coyotes0,Golden Knights2 | RECAP | |||||||||||
2020-08-29 | @ | Blues1,Coyotes4 | RECAP | |||||||||||
2020-08-31 | @ | Coyotes6,Blues4 | RECAP | |||||||||||
2020-09-03 | @ | Stars1,Coyotes4 | RECAP | |||||||||||
2020-09-04 | @ | Coyotes2,Jets3 | RECAP | |||||||||||
2020-09-07 | @ | Wild3,Coyotes2 | RECAP | |||||||||||
2020-09-08 | @ | Coyotes3,Avalanche5 | RECAP | |||||||||||
2020-09-10 | @ | Coyotes1,Oilers5 | RECAP | |||||||||||
2020-09-12 | @ | Coyotes4,Flames3 (SO) | RECAP | |||||||||||
2020-09-14 | @ | Oilers3,Coyotes1 | RECAP | |||||||||||
2020-09-16 | @ | Jets2,Coyotes3 | RECAP | |||||||||||
2020-09-19 | @ | Flames8,Coyotes2 | RECAP | |||||||||||
2020-09-20 | @ | Oilers2,Coyotes7 | RECAP | |||||||||||
2020-09-22 | @ | Coyotes3,Flyers5 | RECAP | |||||||||||
2020-09-24 | @ | Coyotes3,Ducks4 (SO) | RECAP | |||||||||||
2020-09-26 | @ | Sabres2,Coyotes6 | RECAP | |||||||||||
2020-09-28 | @ | Coyotes1,Sabres4 | RECAP | |||||||||||
2020-09-29 | @ | Maple Leafs1,Coyotes5 | RECAP | |||||||||||
2020-10-01 | @ | Coyotes5,Stars1 | RECAP | |||||||||||
2020-10-03 | @ | Blues3,Coyotes4 (SO) | RECAP | |||||||||||
2020-10-06 | @ | Coyotes3,Jets2 (SO) | RECAP | |||||||||||
2020-10-10 | @ | Ducks4,Coyotes1 | RECAP | |||||||||||
2020-10-11 | @ | Coyotes2,Panthers1 | RECAP | |||||||||||
2020-10-13 | @ | Stars1,Coyotes3 | RECAP | |||||||||||
2020-10-15 | @ | Coyotes2,Oilers3 (OT) | RECAP | |||||||||||
2020-10-17 | @ | Canucks7,Coyotes3 | RECAP | |||||||||||
2020-10-19 | @ | Coyotes5,Canucks3 | RECAP | |||||||||||
2020-10-21 | @ | Stars1,Coyotes5 | RECAP | |||||||||||
2020-10-23 | @ | Coyotes2,Ducks1 | RECAP | |||||||||||
2020-10-25 | @ | Coyotes3,Devils8 | RECAP | |||||||||||
2020-10-27 | @ | Red Wings4,Coyotes1 | RECAP | |||||||||||
2020-10-29 | @ | Rangers3,Coyotes2 | RECAP | |||||||||||
2020-10-30 | @ | Coyotes3,Red Wings2 | RECAP | |||||||||||
2020-11-03 | @ | Kings3,Coyotes5 | RECAP | |||||||||||
2020-11-04 | @ | Coyotes3,Stars4 | RECAP | |||||||||||
2020-11-07 | @ | Canucks2,Coyotes4 | RECAP | |||||||||||
2020-11-08 | @ | Coyotes3,Canucks1 | RECAP | |||||||||||
2020-11-11 | @ | Wild3,Coyotes4 | RECAP | |||||||||||
2020-11-13 | @ | Coyotes3,Jets1 | RECAP | |||||||||||
2020-11-14 | @ | Lightning3,Coyotes6 | RECAP | |||||||||||
2020-11-17 | @ | Coyotes3,Lightning4 (OT) | RECAP | |||||||||||
2020-11-18 | @ | Coyotes7,Rangers5 | RECAP | |||||||||||
2020-11-20 | @ | Flames2,Coyotes3 | RECAP | |||||||||||
2020-11-22 | @ | Coyotes4,Flames5 | RECAP | |||||||||||
2020-11-23 | @ | Bruins3,Coyotes4 (SO) | RECAP | |||||||||||
2020-11-25 | @ | Coyotes1,Golden Knights4 | RECAP | |||||||||||
2020-11-26 | @ | Wild2,Coyotes3 | RECAP | |||||||||||
2020-11-28 | @ | Coyotes1,Kings2 (OT) | RECAP | |||||||||||
2020-11-30 | @ | Ducks3,Coyotes2 | RECAP | |||||||||||
2020-12-03 | @ | Coyotes3,Golden Knights4 (OT) | RECAP | |||||||||||
2020-12-04 | @ | Coyotes1,Canadiens3 | RECAP | |||||||||||
2020-12-06 | @ | Panthers2,Coyotes3 (OT) | RECAP | |||||||||||
2020-12-07 | @ | Coyotes3,Bruins1 | RECAP | |||||||||||
2020-12-08 | @ | Avalanche5,Coyotes1 | RECAP | |||||||||||
2020-12-09 | @ | Coyotes4,Kings5 (OT) | RECAP | |||||||||||
2020-12-11 | @ | Coyotes2,Maple Leafs5 | RECAP | |||||||||||
2020-12-12 | @ | Blue Jackets2,Coyotes5 | RECAP | |||||||||||
2020-12-14 | @ | Coyotes2,Blue Jackets4 | RECAP | |||||||||||
2020-12-15 | @ | Coyotes4,Stars1 | RECAP | |||||||||||
2020-12-16 | @ | Senators4,Coyotes6 | RECAP | |||||||||||
2020-12-18 | @ | Blues2,Coyotes4 | RECAP | |||||||||||
2020-12-20 | @ | Coyotes3,Avalanche2 | RECAP | |||||||||||
2020-12-22 | @ | Avalanche2,Coyotes3 (OT) | RECAP | |||||||||||
2020-12-23 | @ | Coyotes5,Wild3 | RECAP | |||||||||||
2020-12-26 | @ | Kings4,Coyotes1 | RECAP | |||||||||||
Trade Deadline --- Trades cant be done after this day is simulated! | ||||||||||||||
2020-12-28 | @ | Golden Knights5,Coyotes3 | RECAP | |||||||||||
2021-01-02 | @ | Coyotes5,Wild2 | RECAP | |||||||||||
2021-01-03 | @ | Canadiens3,Coyotes2 | RECAP | |||||||||||
2021-01-05 | @ | Jets4,Coyotes3 | RECAP | |||||||||||
2021-01-10 | @ | Devils5,Coyotes2 | RECAP | |||||||||||
2021-01-14 | @ | Flyers5,Coyotes2 | RECAP | |||||||||||
2021-01-16 | @ | Coyotes6,Senators4 | RECAP | |||||||||||
2021-01-17 | @ | Coyotes2,Avalanche4 | RECAP | |||||||||||
2021-01-18 | @ | Coyotes2,Blues4 | RECAP | |||||||||||
2021-01-21 | @ | Golden Knights3,Coyotes2 (SO) | RECAP | |||||||||||
2021-01-23 | @ | |||||||||||||
2021-01-27 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
71,255,925$ | 0$ | 66,655,925$ | 14,844,075$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Gila River Arena | |
City | Arizona | ||
Capacity | 18000 | ||
Season Ticket Holders | 50% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 300$ | 150$ | 100$ | 75$ | 400$ |
Attendance | 187832 | 154525 | 62902 | 126071 | 38136 |
Attendance PCT | 78.26% | 77.26% | 78.63% | 78.79% | 95.34% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
1 | 14237 - 79.09% | 4,117,178$ | 164,687,126$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
71,255,925$ | 71,255,925$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
63,749,215$ | 66,655,925$ | 61,316,589$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
4,117,178$ | 9 | 441,652$ | 3,974,868$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
3,974,868$ | 66,655,925$ | 229,742,999$ | 229,885,309$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 |
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3 | ||||
4 | ||||
5 | ||||
6 | ||||
7 |
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