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Full Scoreboard »» |
Arizona Coyotes 5-0-0, 10pts · 1st in Conference Ouest |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 71 | 42 | 90 | 81 | 64 | 77 | 84 | 73 | 39 | 75 | 73 | 77 | 79 | 59 | 59 | 75 | 50 | 0 | 33 | 5,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 42 | 95 | 78 | 62 | 57 | 74 | 66 | 36 | 61 | 72 | 66 | 25 | 65 | 65 | 70 | 50 | 0 | 25 | 750,000$/1yrs | |||
![]() | 0 | C | 99.00 | 65 | 42 | 80 | 88 | 73 | 78 | 97 | 79 | 83 | 84 | 68 | 70 | 85 | 76 | 80 | 74 | 50 | 0 | 30 | 7,800,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 66 | 60 | 79 | 62 | 60 | 77 | 80 | 65 | 50 | 62 | 64 | 61 | 61 | 45 | 45 | 65 | 50 | 0 | 27 | 762,500$/2yrs | |||
![]() | 0 | LW | 100.00 | 61 | 40 | 99 | 67 | 59 | 63 | 63 | 60 | 56 | 63 | 70 | 64 | 25 | 46 | 46 | 67 | 50 | 0 | 26 | 800,000$/2yrs | |||
![]() | 0 | LW | 99.00 | 61 | 40 | 86 | 94 | 63 | 81 | 96 | 94 | 34 | 91 | 85 | 61 | 85 | 74 | 75 | 82 | 50 | 0 | 30 | 11,642,857$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 53 | 84 | 84 | 73 | 76 | 99 | 76 | 44 | 81 | 84 | 80 | 61 | 80 | 87 | 82 | 50 | 0 | 33 | 4,450,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 52 | 87 | 88 | 67 | 84 | 90 | 95 | 74 | 92 | 90 | 80 | 63 | 78 | 80 | 87 | 50 | 0 | 29 | 5,125,000$/7yrs | |||
![]() | 0 | C/LW | 100.00 | 69 | 42 | 90 | 81 | 67 | 69 | 84 | 66 | 79 | 73 | 68 | 67 | 25 | 65 | 65 | 71 | 50 | 0 | 24 | 825,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 75 | 57 | 81 | 83 | 70 | 59 | 89 | 64 | 46 | 64 | 72 | 68 | 61 | 66 | 66 | 71 | 50 | 0 | 26 | 1,200,000$/1yrs | |||
![]() | 0 | C | 100.00 | 73 | 43 | 96 | 92 | 75 | 79 | 68 | 82 | 79 | 85 | 88 | 70 | 53 | 70 | 70 | 83 | 50 | 0 | 25 | 10,000,000$/4yrs | |||
![]() | 0 | RW | 99.00 | 69 | 42 | 89 | 85 | 71 | 74 | 95 | 82 | 54 | 82 | 88 | 67 | 39 | 76 | 81 | 82 | 50 | 0 | 30 | 4,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 42 | 86 | 86 | 76 | 80 | 98 | 71 | 25 | 65 | 50 | 78 | 48 | 76 | 76 | 67 | 50 | 0 | 28 | 4,166,666$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 44 | 87 | 88 | 74 | 97 | 77 | 86 | 25 | 73 | 51 | 85 | 47 | 88 | 88 | 72 | 50 | 0 | 32 | 11,000,000$/5yrs | |||
![]() | 0 | D | 100.00 | 76 | 56 | 79 | 76 | 79 | 62 | 53 | 61 | 25 | 49 | 54 | 69 | 25 | 71 | 72 | 62 | 50 | 0 | 32 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 53 | 89 | 81 | 72 | 79 | 82 | 77 | 25 | 72 | 50 | 65 | 75 | 69 | 71 | 65 | 50 | 0 | 30 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 87 | 85 | 70 | 80 | 96 | 83 | 25 | 71 | 58 | 73 | 38 | 77 | 80 | 70 | 50 | 0 | 31 | 4,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 82 | 45 | 94 | 80 | 79 | 82 | 86 | 67 | 25 | 60 | 48 | 85 | 25 | 67 | 70 | 66 | 50 | 0 | 27 | 6,150,000$/8yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 78 | 44 | 90 | 69 | 73 | 46 | 66 | 58 | 33 | 50 | 55 | 65 | 25 | 61 | 61 | 59 | 50 | 0 | 27 | 750,000$/1yrs | |||
TEAM AVERAGE | 99.84 | 70 | 46 | 88 | 81 | 70 | 74 | 83 | 74 | 45 | 71 | 68 | 71 | 50 | 69 | 70 | 72 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 67 | 67 | 66 | 78 | 73 | 61 | 73 | 66 | 69 | 67 | 59 | 59 | 59 | 68 | 50 | 0 | 29 | 2,750,000$/3yrs |
![]() | 0 | 98.00 | 82 | 79 | 75 | 84 | 85 | 79 | 71 | 81 | 84 | 82 | 75 | 51 | 51 | 80 | 53 | 0 | 23 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 66 | 53 | 52 | 81 | 65 | 67 | 92 | 67 | 79 | 67 | 75 | 46 | 47 | 69 | 56 | 0 | 23 | 842,500$/1yrs |
TEAM AVERAGE | 99.33 | 72 | 66 | 64 | 81 | 74 | 69 | 79 | 71 | 77 | 72 | 70 | 52 | 52 | 72 | 53 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
General Manager | Mathieu Baril |
---|
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 | Drew Doughty | 0 | D | 5 | 0 | 8 | 8 | 5 | 4 | 0 | 10 | 16 | 6 | 3 | 0.00% | 10 | 27.11 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 6 | 0 | 0 | 1.18 | 0 | 0 | ||
2 | Artemi Panarin | 0 | LW | 5 | 4 | 4 | 8 | 1 | 2 | 0 | 6 | 31 | 5 | 13 | 12.90% | 3 | 20.66 | 1 | 2 | 3 | 9 | 0 | 0 | 0 | 0 | 0 | 1 | 66.67% | 3 | 9 | 1 | 0 | 0 | 1.55 | 0 | 0 | ||
3 | Tyler Toffoli | 0 | RW | 5 | 3 | 4 | 7 | 1 | 0 | 0 | 4 | 16 | 2 | 4 | 18.75% | 3 | 20.07 | 0 | 1 | 1 | 5 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 2 | 2 | 4 | 0 | 0 | 1.40 | 0 | 0 | ||
4 | Jack Eichel | 0 | C | 5 | 4 | 1 | 5 | 3 | 0 | 0 | 5 | 23 | 4 | 15 | 17.39% | 1 | 16.12 | 1 | 1 | 2 | 9 | 0 | 0 | 0 | 0 | 1 | 0 | 46.67% | 60 | 6 | 0 | 0 | 0 | 1.24 | 0 | 0 | ||
5 | Evgeny Kuznetsov | 0 | C | 5 | 1 | 3 | 4 | 1 | 0 | 0 | 6 | 8 | 1 | 2 | 12.50% | 4 | 21.37 | 1 | 1 | 2 | 9 | 0 | 0 | 0 | 2 | 0 | 1 | 54.49% | 156 | 3 | 6 | 0 | 0 | 0.75 | 0 | 0 | ||
6 | Ryan Pulock | 0 | D | 5 | 1 | 3 | 4 | 4 | 0 | 0 | 2 | 12 | 3 | 4 | 8.33% | 6 | 22.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 1 | 0 | 0.00% | 0 | 1 | 3 | 0 | 0 | 0.72 | 0 | 0 | ||
7 | Alex Killorn | 0 | LW/RW | 5 | 1 | 2 | 3 | 3 | 4 | 0 | 4 | 12 | 7 | 8 | 8.33% | 4 | 17.08 | 1 | 0 | 1 | 5 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 3 | 5 | 3 | 0 | 0 | 0.70 | 0 | 0 | ||
8 | Ryan Nugent-Hopkins | 0 | C/LW | 5 | 2 | 1 | 3 | 2 | 0 | 0 | 3 | 14 | 6 | 6 | 14.29% | 2 | 14.88 | 0 | 1 | 1 | 5 | 0 | 0 | 0 | 5 | 1 | 0 | 47.06% | 51 | 4 | 3 | 0 | 0 | 0.81 | 0 | 0 | ||
9 | Gustav Nyquist | 0 | LW/RW | 5 | 1 | 1 | 2 | 3 | 4 | 0 | 8 | 10 | 1 | 6 | 10.00% | 3 | 16.62 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 5 | 1 | 0 | 0.00% | 2 | 0 | 1 | 0 | 0 | 0.48 | 0 | 0 | ||
10 | Denis Malgin | 0 | LW/RW | 5 | 0 | 2 | 2 | 2 | 5 | 5 | 7 | 4 | 0 | 8 | 0.00% | 1 | 13.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 100.00% | 1 | 2 | 1 | 0 | 0 | 0.61 | 0 | 0 | ||
11 | Sam Steel | 0 | C/LW | 5 | 2 | 0 | 2 | 2 | 0 | 0 | 7 | 7 | 1 | 5 | 28.57% | 0 | 9.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 53.57% | 28 | 2 | 1 | 0 | 0 | 0.82 | 0 | 0 | ||
12 | Michael Stone | 0 | D | 5 | 0 | 1 | 1 | 3 | 0 | 0 | 3 | 1 | 1 | 1 | 0.00% | 5 | 14.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.27 | 0 | 0 | ||
13 | Ryan Donato | 0 | C/LW | 5 | 0 | 1 | 1 | 2 | 2 | 0 | 8 | 9 | 5 | 6 | 0.00% | 3 | 11.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 1 | 1 | 0 | 0 | 0.34 | 0 | 0 | ||
14 | Damon Severson | 0 | D | 5 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.00% | 1 | 21.58 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 1 | 2 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Sheldon Rempal | 0 | LW/RW | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 4 | 1 | 2 | 0 | 0.00% | 1 | 8.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Joe Snively | 0 | LW | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 3 | 1 | 3 | 0.00% | 1 | 7.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Erik Gustafsson | 0 | D | 5 | 0 | 0 | 0 | 3 | 0 | 0 | 3 | 2 | 1 | 2 | 0.00% | 1 | 14.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Tyson Barrie | 0 | D | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | 3 | 1 | 0.00% | 8 | 19.15 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 90 | 19 | 31 | 50 | 40 | 21 | 5 | 91 | 180 | 49 | 90 | 10.56% | 57 | 16.49 | 4 | 6 | 10 | 75 | 0 | 0 | 0 | 64 | 5 | 2 | 50.81% | 307 | 37 | 38 | 0 | 0 | 0.67 | 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 | Stuart Skinner | 5 | 5 | 0 | 0 | 0.951 | 1.60 | 300 | 2 | 0 | 8 | 163 | 86 | 0 | 0 | 0.000 | 0 | 5 | 0 | 3 | 0 | 0 | |
Team Total or Average | 5 | 5 | 0 | 0 | 0.951 | 1.60 | 300 | 2 | 0 | 8 | 163 | 86 | 0 | 0 | 0.000 | 0 | 5 | 0 | 3 | 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 |
# | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 3 | 1 | 0 | 0 | 34 | 15 | 16 | 3 | 0 | 39 | 12 | 4 | 16 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 63 | 125 | 50.40% | 54 | 113 | 47.79% | 39 | 69 | 56.52% | 21 | 13 | 20 | 8 | 18 | 9 | 66.7% | 11.8% | 94.9% | 106.6 | LUCKY | |
2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 2 | 2 | 2 | 0 | 75 | 25 | 23 | 27 | 0 | 59 | 25 | 4 | 31 | 7 | 2 | 28.57% | 2 | 0 | 100.00% | 0 | 63 | 125 | 50.40% | 54 | 113 | 47.79% | 39 | 69 | 56.52% | 50 | 32 | 34 | 17 | 35 | 18 | 57.1% | 8.0% | 94.9% | 102.9 | DULL | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 3 | 0 | 40 | 9 | 14 | 17 | 0 | 30 | 6 | 11 | 26 | 1 | 1 | 100.00% | 3 | 1 | 66.67% | 0 | 63 | 125 | 50.40% | 54 | 113 | 47.79% | 39 | 69 | 56.52% | 21 | 12 | 20 | 10 | 17 | 8 | 83.3% | 15.0% | 93.3% | 108.3 | LUCKY | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 31 | 6 | 10 | 15 | 0 | 35 | 14 | 4 | 18 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 63 | 125 | 50.40% | 54 | 113 | 47.79% | 39 | 69 | 56.52% | 19 | 10 | 22 | 9 | 18 | 7 | 66.7% | 9.7% | 97.1% | 106.8 | LUCKY | |
_Vs Division | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 8 | 11 | 10 | 1.000 | 19 | 31 | 50 | 0 | 0 | 7 | 6 | 6 | 0 | 180 | 55 | 63 | 62 | 0 | 163 | 57 | 23 | 91 | 11 | 4 | 36.36% | 9 | 1 | 88.89% | 0 | 63 | 125 | 50.40% | 54 | 113 | 47.79% | 39 | 69 | 56.52% | 112 | 68 | 98 | 45 | 89 | 43 | 68.2% | 10.6% | 95.1% | 105.6 | LUCKY | |
_Vs Conference | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 8 | 11 | 10 | 1.000 | 19 | 31 | 50 | 0 | 0 | 7 | 6 | 6 | 0 | 180 | 55 | 63 | 62 | 0 | 163 | 57 | 23 | 91 | 11 | 4 | 36.36% | 9 | 1 | 88.89% | 0 | 63 | 125 | 50.40% | 54 | 113 | 47.79% | 39 | 69 | 56.52% | 112 | 68 | 98 | 45 | 89 | 43 | 68.2% | 10.6% | 95.1% | 105.6 | LUCKY | |
_Since Last GM Reset | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 8 | 11 | 10 | 1.000 | 19 | 31 | 50 | 0 | 0 | 7 | 6 | 6 | 0 | 180 | 55 | 63 | 62 | 0 | 163 | 57 | 23 | 91 | 11 | 4 | 36.36% | 9 | 1 | 88.89% | 0 | 63 | 125 | 50.40% | 54 | 113 | 47.79% | 39 | 69 | 56.52% | 112 | 68 | 98 | 45 | 89 | 43 | 68.2% | 10.6% | 95.1% | 105.6 | LUCKY | |
Total | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 8 | 11 | 10 | 1.000 | 19 | 31 | 50 | 0 | 0 | 7 | 6 | 6 | 0 | 180 | 55 | 63 | 62 | 0 | 163 | 57 | 23 | 91 | 11 | 4 | 36.36% | 9 | 1 | 88.89% | 0 | 63 | 125 | 50.40% | 54 | 113 | 47.79% | 39 | 69 | 56.52% | 112 | 68 | 98 | 45 | 89 | 43 | 68.2% | 10.6% | 95.1% | 105.6 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 19 |
Puck Time | |
---|---|
Offensive Zone Start | 125 |
Neutral Zone Start | 69 |
Defensive Zone Start | 113 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 156 |
Faceoffs Lost | 151 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.0 | 9.57 |
2nd Period | 23.6 | 20.31 |
3rd Period | 36.0 | 30.68 |
Overtime | 36.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.6 | 1.65 |
3rd Period | 3.8 | 2.67 |
Overtime | 3.8 | 2.83 |
Even Strenght Goal | 15 |
---|---|
PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 3 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 11 |
---|---|
PP Goal | 4 |
PK Attempt | 9 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 36.0 |
Shots Against | 32.6 |
Goals For | 3.8 |
Goals Against | 1.6 |
Hits | 18.2 |
Shots Blocked | 11.4 |
Pim | 4.6 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 82,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 22 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Killorn ![]() | LW/RW | 33 | 4,450,000$ | 4,450,000$ | |||||||
Anton Blidh ![]() | LW/RW | 27 | 750,000$ | 750,000$ | |||||||
Anton Forsberg ![]() | G | 29 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | |||||
Artemi Panarin ![]() | LW | 30 | 11,642,857$ | 11,642,857$ | 11,642,857$ | 11,642,857$ | 11,642,857$ | ||||
Damon Severson ![]() | D | 28 | 4,166,666$ | 4,166,666$ | |||||||
Denis Malgin ![]() | LW/RW | 25 | 750,000$ | 750,000$ | |||||||
Drew Doughty ![]() | D | 32 | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | |||
Erik Gustafsson ![]() | D | 30 | 800,000$ | 800,000$ | |||||||
Evgeny Kuznetsov ![]() | C | 30 | 7,800,000$ | 7,800,000$ | 7,800,000$ | 7,800,000$ | |||||
Gustav Nyquist ![]() | LW/RW | 33 | 5,500,000$ | 5,500,000$ | |||||||
Jack Eichel ![]() | C | 25 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | ||||
Joe Snively ![]() | LW | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Michael Stone ![]() | D | 32 | 750,000$ | 750,000$ | |||||||
Pyotr Kochetkov ![]() | G | 23 | 842,500$ | 842,500$ | |||||||
Ryan Donato ![]() | C/LW | 26 | 1,200,000$ | 1,200,000$ | |||||||
Ryan Nugent-Hopkins ![]() | C/LW | 29 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | |
Ryan Pulock ![]() | D | 27 | 6,150,000$ | 6,150,000$ | 6,150,000$ | 6,150,000$ | 6,150,000$ | 6,150,000$ | 6,150,000$ | 6,150,000$ | 6,150,000$ |
Sam Steel ![]() | C/LW | 24 | 825,000$ | 825,000$ | |||||||
Sheldon Rempal ![]() | LW/RW | 27 | 762,500$ | 762,500$ | 762,500$ | ||||||
Stuart Skinner ![]() | G | 23 | 750,000$ | 750,000$ | |||||||
Tyler Toffoli ![]() | RW | 30 | 4,250,000$ | 4,250,000$ | 4,250,000$ | ||||||
Tyson Barrie ![]() | D | 31 | 4,500,000$ | 4,500,000$ | 4,500,000$ |
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 |
# | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 3 | 1 | 0 | 0 | 34 | 15 | 16 | 3 | 0 | 39 | 12 | 4 | 16 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 63 | 125 | 50.40% | 54 | 113 | 47.79% | 39 | 69 | 56.52% | 21 | 13 | 20 | 8 | 18 | 9 | 66.7% | 11.8% | 94.9% | 106.6 | LUCKY | |
2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 2 | 2 | 2 | 0 | 75 | 25 | 23 | 27 | 0 | 59 | 25 | 4 | 31 | 7 | 2 | 28.57% | 2 | 0 | 100.00% | 0 | 63 | 125 | 50.40% | 54 | 113 | 47.79% | 39 | 69 | 56.52% | 50 | 32 | 34 | 17 | 35 | 18 | 57.1% | 8.0% | 94.9% | 102.9 | DULL | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 3 | 0 | 40 | 9 | 14 | 17 | 0 | 30 | 6 | 11 | 26 | 1 | 1 | 100.00% | 3 | 1 | 66.67% | 0 | 63 | 125 | 50.40% | 54 | 113 | 47.79% | 39 | 69 | 56.52% | 21 | 12 | 20 | 10 | 17 | 8 | 83.3% | 15.0% | 93.3% | 108.3 | LUCKY | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 31 | 6 | 10 | 15 | 0 | 35 | 14 | 4 | 18 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 63 | 125 | 50.40% | 54 | 113 | 47.79% | 39 | 69 | 56.52% | 19 | 10 | 22 | 9 | 18 | 7 | 66.7% | 9.7% | 97.1% | 106.8 | LUCKY | |
_Vs Division | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 8 | 11 | 10 | 1.000 | 19 | 31 | 50 | 0 | 0 | 7 | 6 | 6 | 0 | 180 | 55 | 63 | 62 | 0 | 163 | 57 | 23 | 91 | 11 | 4 | 36.36% | 9 | 1 | 88.89% | 0 | 63 | 125 | 50.40% | 54 | 113 | 47.79% | 39 | 69 | 56.52% | 112 | 68 | 98 | 45 | 89 | 43 | 68.2% | 10.6% | 95.1% | 105.6 | LUCKY | |
_Vs Conference | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 8 | 11 | 10 | 1.000 | 19 | 31 | 50 | 0 | 0 | 7 | 6 | 6 | 0 | 180 | 55 | 63 | 62 | 0 | 163 | 57 | 23 | 91 | 11 | 4 | 36.36% | 9 | 1 | 88.89% | 0 | 63 | 125 | 50.40% | 54 | 113 | 47.79% | 39 | 69 | 56.52% | 112 | 68 | 98 | 45 | 89 | 43 | 68.2% | 10.6% | 95.1% | 105.6 | LUCKY | |
_Since Last GM Reset | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 8 | 11 | 10 | 1.000 | 19 | 31 | 50 | 0 | 0 | 7 | 6 | 6 | 0 | 180 | 55 | 63 | 62 | 0 | 163 | 57 | 23 | 91 | 11 | 4 | 36.36% | 9 | 1 | 88.89% | 0 | 63 | 125 | 50.40% | 54 | 113 | 47.79% | 39 | 69 | 56.52% | 112 | 68 | 98 | 45 | 89 | 43 | 68.2% | 10.6% | 95.1% | 105.6 | LUCKY | |
Total | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 8 | 11 | 10 | 1.000 | 19 | 31 | 50 | 0 | 0 | 7 | 6 | 6 | 0 | 180 | 55 | 63 | 62 | 0 | 163 | 57 | 23 | 91 | 11 | 4 | 36.36% | 9 | 1 | 88.89% | 0 | 63 | 125 | 50.40% | 54 | 113 | 47.79% | 39 | 69 | 56.52% | 112 | 68 | 98 | 45 | 89 | 43 | 68.2% | 10.6% | 95.1% | 105.6 | LUCKY |
Puck Time | |
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Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 19 |
Puck Time | |
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Offensive Zone Start | 125 |
Neutral Zone Start | 69 |
Defensive Zone Start | 113 |
Puck Time | |
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With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
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Faceoffs Won | 156 |
Faceoffs Lost | 151 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.0 | 9.57 |
2nd Period | 23.6 | 20.31 |
3rd Period | 36.0 | 30.68 |
Overtime | 36.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.6 | 1.65 |
3rd Period | 3.8 | 2.67 |
Overtime | 3.8 | 2.83 |
Even Strenght Goal | 15 |
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PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 2 | 3 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 11 |
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PP Goal | 4 |
PK Attempt | 9 |
PK Goal Against | 1 |
Home | |
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Shots For | 36.0 |
Shots Against | 32.6 |
Goals For | 3.8 |
Goals Against | 1.6 |
Hits | 18.2 |
Shots Blocked | 11.4 |
Pim | 4.6 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-08-12 | @ | Blackhawks2,Coyotes3 | RECAP | ||
2023-08-13 | @ | Avalanche2,Coyotes4 | RECAP | ||
2023-08-16 | @ | Coyotes3,Blackhawks1 | RECAP | ||
2023-08-17 | @ | Coyotes6,Wild2 | RECAP | ||
2023-08-19 | @ | Coyotes3,Blues1 | RECAP | ||
2023-08-21 | @ | ||||
2023-08-23 | @ | ||||
2023-08-24 | @ | ||||
2023-08-26 | @ | ||||
2023-08-27 | @ | ||||
2023-08-28 | @ | ||||
2023-08-30 | @ | ||||
2023-09-02 | @ | ||||
2023-09-03 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
85,564,523$ | 0$ | 0$ | 82,500,000$ |
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 | 100$ | 60$ | 35$ | 20$ | 200$ |
Attendance | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
5 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
85,564,523$ | 85,564,523$ | 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$ | 16 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | -506,176,410$ | -506,176,410$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
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 |
---|---|---|---|---|---|
1 ballo arz 2023 | |||||
Alan Quine | Link | ||||
Alex Biega | Link | ||||
Alexander Nikishin | 2020 | 71 | |||
Alexander Petrovic | Link | ||||
Anatoli Golyshev | |||||
Angus Booth | 2022 | 131 | |||
Antonio Stranges | 2020 | 133 | |||
Bobby Ryan | Link | ||||
Braden Holtby | Link | ||||
Brent Gates | |||||
Cam Squires | 2023 | 128 | |||
Cameron Lund | 2022 | 39 | |||
Carl Dahlstrom | Link | ||||
Cole Jordan | 2021 | 154 | |||
Dennis Busby | |||||
Dmitry Voronkov | 2019 | 132 | |||
Frederik Nissen | 2019 | 154 | |||
Isak Walther | 2019 | 192 | |||
Justin Almeida | |||||
Kaden Hammell | 2023 | 157 | |||
Kasper Kulonummi | 2022 | 99 | |||
Kevan Miller | Link | ||||
Liam Kirk | |||||
Linus Soderstrom | |||||
Lucas Feuk | 2019 | 134 | |||
Mark Alt | Link | ||||
Maximus Wanner | 2021 | 218 | |||
McKade Webster | 2019 | 216 | |||
Mikhail Grigorenko | Link | ||||
Oscar Back | |||||
Owen McLaughlin | 2021 | 214 | |||
Parker Foo | |||||
Patrick Harper | |||||
Paul Fischer | 2023 | 147 | |||
Pavel Shen | |||||
Rhett Gardner | Link | ||||
Riley Duran | 2020 | 192 | |||
Samuel Johannesson | 2020 | 161 | |||
Santu Kinnunen | |||||
Shane Gersich | |||||
Simon Johansson | |||||
Tanner Dickinson | 2020 | 127 | |||
Ty Rattie | Link | ||||
Tyler Ennis | Link | ||||
Vladimir Grudinin | 2022 | 163 | |||
Warren Clark | 2023 | 189 |
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