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![]() | Seattle Kraken 1-4-0, 2pts · 5th in Western Conference |
Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | RW | 100.00 | 73 | 44 | 91 | 77 | 75 | 87 | 93 | 90 | 78 | 84 | 83 | 74 | 83 | 93 | 89 | 1 | 81 | 39 | 7,250,000$/2yrs | |||||
![]() | C/LW | 100.00 | 74 | 47 | 81 | 81 | 71 | 80 | 90 | 90 | 88 | 76 | 75 | 82 | 82 | 95 | 97 | 1 | 80 | 38 | 7,000,000$/2yrs | |||||
![]() | C | 100.00 | 81 | 47 | 92 | 86 | 73 | 88 | 92 | 80 | 85 | 78 | 72 | 84 | 80 | 87 | 77 | 1 | 79 | 31 | 4,500,000$/2yrs | |||||
![]() | LW/RW | 100.00 | 73 | 46 | 92 | 85 | 72 | 86 | 89 | 87 | 50 | 81 | 79 | 72 | 83 | 82 | 72 | 1 | 78 | 29 | 4,750,000$/1yrs | |||||
![]() | LW/RW | 100.00 | 78 | 46 | 69 | 75 | 77 | 86 | 93 | 86 | 49 | 79 | 78 | 70 | 80 | 92 | 85 | 1 | 78 | 36 | 5,000,000$/2yrs | |||||
![]() | C/RW | 100.00 | 73 | 51 | 63 | 82 | 78 | 86 | 89 | 86 | 70 | 78 | 79 | 75 | 82 | 84 | 74 | 1 | 78 | 29 | 4,500,000$/4yrs | |||||
![]() | RW | 100.00 | 72 | 44 | 91 | 75 | 84 | 87 | 91 | 87 | 44 | 81 | 80 | 71 | 81 | 87 | 77 | 1 | 78 | 32 | 6,000,000$/2yrs | |||||
![]() | LW/RW | 100.00 | 78 | 53 | 73 | 76 | 81 | 84 | 86 | 84 | 52 | 76 | 76 | 73 | 78 | 76 | 66 | 1 | 76 | 28 | 3,000,000$/3yrs | |||||
![]() | C/LW | 100.00 | 82 | 74 | 66 | 75 | 82 | 84 | 90 | 74 | 78 | 72 | 67 | 80 | 72 | 84 | 80 | 1 | 75 | 31 | 3,250,000$/2yrs | |||||
![]() | LW/RW | 100.00 | 81 | 81 | 68 | 75 | 88 | 83 | 85 | 82 | 62 | 75 | 76 | 74 | 78 | 73 | 63 | 1 | 75 | 26 | 3,800,000$/4yrs | |||||
![]() | C/RW | 100.00 | 80 | 74 | 63 | 71 | 91 | 82 | 85 | 74 | 80 | 67 | 69 | 74 | 71 | 82 | 72 | 1 | 73 | 29 | 1,500,000$/1yrs | |||||
![]() | C | 100.00 | 81 | 68 | 71 | 75 | 80 | 84 | 84 | 76 | 92 | 76 | 65 | 76 | 72 | 69 | 59 | 1 | 73 | 26 | 1,500,000$/1yrs | |||||
![]() | D | 100.00 | 65 | 47 | 84 | 85 | 80 | 90 | 90 | 80 | 40 | 75 | 69 | 93 | 78 | 87 | 77 | 1 | 80 | 30 | 5,000,000$/3yrs | |||||
![]() | D | 100.00 | 73 | 66 | 68 | 75 | 84 | 87 | 94 | 74 | 40 | 71 | 64 | 91 | 71 | 89 | 79 | 1 | 78 | 35 | 3,700,000$/1yrs | |||||
![]() | D | 100.00 | 70 | 53 | 77 | 77 | 84 | 91 | 87 | 76 | 40 | 75 | 64 | 86 | 72 | 82 | 72 | 1 | 77 | 29 | 4,250,000$/1yrs | |||||
![]() | D | 100.00 | 78 | 56 | 72 | 74 | 88 | 87 | 83 | 74 | 40 | 70 | 66 | 90 | 71 | 68 | 58 | 1 | 77 | 32 | 6,200,000$/4yrs | |||||
![]() | D | 100.00 | 73 | 46 | 77 | 77 | 78 | 85 | 90 | 77 | 40 | 74 | 65 | 80 | 73 | 84 | 74 | 1 | 76 | 30 | 4,000,000$/4yrs | |||||
![]() | D | 100.00 | 75 | 66 | 67 | 75 | 84 | 88 | 87 | 73 | 40 | 66 | 66 | 82 | 71 | 85 | 81 | 1 | 76 | 31 | 4,000,000$/3yrs | |||||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 76 | 56 | 76 | 78 | 81 | 86 | 89 | 81 | 59 | 75 | 72 | 79 | 77 | 83 | 75 | 1 | 77 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 85 | 90 | 92 | 79 | 90 | 85 | 78 | 82 | 83 | 89 | 84 | 82 | 75 | 1 | 78 | 30 | 4,900,000$/3yrs | |
![]() | 0 | 100.00 | 82 | 91 | 91 | 79 | 90 | 84 | 80 | 80 | 81 | 88 | 82 | 87 | 80 | 1 | 77 | 33 | 3,500,000$/4yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 84 | 91 | 92 | 79 | 90 | 85 | 79 | 81 | 82 | 89 | 83 | 85 | 78 | 1 | 78 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bob Hartley | 72 | 70 | 75 | 73 | 87 | 81 | 59 | CAN | 63 | 2 | 1,000,000$ |
General Manager | Patrick Daigneault |
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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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Oliver Bjorkstrand | ![]() | 0 | LW/RW | 5 | 2 | 4 | 6 | -1 | 0 | 0 | 6 | 10 | 2 | 8 | 20.00% | 3 | 18.27 | 1 | 1 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 0 | 0 | 1.20 | 0 | 0 | 0.97 | ||
2 | Patrice Bergeron | ![]() | 0 | C/LW | 5 | 1 | 4 | 5 | -1 | 0 | 0 | 10 | 14 | 7 | 12 | 7.14% | 2 | 21.38 | 0 | 1 | 1 | 0 | 0 | 0 | 18 | 0 | 0 | 55.17% | 0 | 0 | 1.00 | 0 | 0 | 0.99 | ||
3 | David Perron | ![]() | 0 | LW/RW | 5 | 1 | 3 | 4 | -1 | 2 | 0 | 9 | 5 | 2 | 9 | 20.00% | 1 | 13.21 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33% | 0 | 0 | 0.80 | 0 | 0 | 0.57 | ||
4 | Ryan Hartman | ![]() | 0 | C/RW | 5 | 2 | 2 | 4 | 0 | 4 | 0 | 10 | 10 | 6 | 3 | 20.00% | 1 | 17.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 0 | 0 | 0.80 | 0 | 0 | 0.66 | ||
5 | Connor Murphy | ![]() | 0 | D | 5 | 1 | 1 | 2 | -2 | 2 | 0 | 5 | 4 | 2 | 2 | 25.00% | 3 | 14.84 | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.40 | 0 | 0 | 0.18 | ||
6 | Trent Frederic | ![]() | 0 | LW/RW | 5 | 0 | 2 | 2 | -1 | 2 | 0 | 7 | 13 | 4 | 8 | 0.00% | 1 | 14.46 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 33.33% | 0 | 0 | 0.40 | 0 | 0 | 0.40 | ||
7 | Vladimir Tarasenko | ![]() | 0 | RW | 5 | 1 | 1 | 2 | -4 | 0 | 0 | 4 | 17 | 2 | 7 | 5.88% | 3 | 14.83 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 44.44% | 0 | 0 | 0.40 | 0 | 0 | 0.31 | ||
8 | Brett Kulak | ![]() | 0 | D | 5 | 0 | 1 | 1 | -2 | 0 | 0 | 4 | 2 | 1 | 0 | 0.00% | 4 | 13.61 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.06 | ||
9 | Barclay Goodrow | ![]() | 0 | C/LW | 5 | 1 | 0 | 1 | -1 | 4 | 0 | 10 | 3 | 0 | 4 | 33.33% | 5 | 14.53 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 48.65% | 0 | 0 | 0.20 | 0 | 0 | 0.08 | ||
10 | Joe Pavelski | ![]() | 0 | RW | 5 | 0 | 1 | 1 | -5 | 0 | 0 | 4 | 11 | 1 | 10 | 0.00% | 1 | 16.28 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 33.33% | 0 | 0 | 0.20 | 0 | 0 | 0.02 | ||
11 | Jean-Gabriel Pageau | ![]() | 0 | C | 5 | 1 | 0 | 1 | -4 | 0 | 0 | 6 | 15 | 5 | 12 | 6.67% | 0 | 16.84 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 51.25% | 0 | 0 | 0.20 | 0 | 0 | 0.17 | ||
12 | Jonas Brodin | ![]() | 0 | D | 5 | 0 | 1 | 1 | -1 | 2 | 0 | 5 | 12 | 3 | 4 | 0.00% | 4 | 27.41 | 0 | 1 | 1 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.20 | ||
13 | Ian Cole | ![]() | 0 | D | 5 | 0 | 0 | 0 | -5 | 2 | 0 | 6 | 3 | 3 | 1 | 0.00% | 5 | 18.65 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.32 | ||
14 | Michael McCarron | ![]() | 0 | C/RW | 5 | 0 | 0 | 0 | -2 | 8 | 0 | 7 | 4 | 2 | 3 | 0.00% | 0 | 8.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 0 | 0 | 0.00 | 0 | 0 | -0.32 | ||
15 | Adam Pelech | ![]() | 0 | D | 5 | 0 | 0 | 0 | -1 | 8 | 0 | 5 | 9 | 4 | 8 | 0.00% | 9 | 27.33 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.06 | ||
16 | Jani Hakanpaa | ![]() | 0 | D | 5 | 0 | 0 | 0 | -5 | 8 | 0 | 3 | 5 | 1 | 1 | 0.00% | 5 | 18.37 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.50 | ||
17 | Michael McLeod | ![]() | 0 | C | 5 | 0 | 0 | 0 | -2 | 2 | 0 | 5 | 7 | 1 | 2 | 0.00% | 0 | 8.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 68.75% | 0 | 0 | 0.00 | 0 | 0 | -0.06 | ||
18 | Warren Foegele | ![]() | 0 | LW/RW | 5 | 0 | 0 | 0 | -2 | 0 | 0 | 3 | 7 | 3 | 8 | 0.00% | 0 | 8.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.03 | ||
Team Total or Average | 90 | 10 | 20 | 30 | -40 | 44 | 0 | 109 | 151 | 49 | 102 | 6.62% | 47 | 16.21 | 3 | 6 | 9 | 109 | 0 | 0 | 0 | 155 | 1 | 0 | 53.29% | 319 | 41 | 36 | 0 | 0 | 0.41 | 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 | Joonas Korpisalo | ![]() | 4 | 1 | 3 | 0 | 0.914 | 3.28 | 238 | 0 | 0 | 13 | 151 | 75 | 0 | 1 | 0.000 | 0 | 4 | 1 | 0 | 1 | 0 |
2 | Jake Allen | ![]() | 1 | 0 | 1 | 0 | 0.886 | 4.00 | 60 | 0 | 0 | 4 | 35 | 21 | 0 | 0 | 0.000 | 0 | 1 | 4 | 0 | 0 | 0 |
Team Total or Average | 5 | 1 | 4 | 0 | 0.909 | 3.42 | 298 | 0 | 0 | 17 | 186 | 96 | 0 | 1 | 0.000 | 0 | 5 | 5 | 0 | 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 | ![]() | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 18 | -8 | 2 | 0.200 | 10 | 20 | 30 | 1 | 0 | 2 | 6 | 2 | 0 | 151 | 50 | 64 | 37 | 0 | 187 | 47 | 44 | 109 | 14 | 3 | 21.43% | 22 | 3 | 86.36% | 0 | 60 | 120 | 50.00% | 68 | 123 | 55.28% | 42 | 76 | 55.26% | 97 | 55 | 120 | 46 | 82 | 38 | 31.8% | 6.6% | 90.4% | 97.0 | Unlucky |
_Vs Division | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 18 | -8 | 2 | 0.200 | 10 | 20 | 30 | 1 | 0 | 2 | 6 | 2 | 0 | 151 | 50 | 64 | 37 | 0 | 187 | 47 | 44 | 109 | 14 | 3 | 21.43% | 22 | 3 | 86.36% | 0 | 60 | 120 | 50.00% | 68 | 123 | 55.28% | 42 | 76 | 55.26% | 97 | 55 | 120 | 46 | 82 | 38 | 31.8% | 6.6% | 90.4% | 97.0 | Unlucky | |
_Vs Conference | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 18 | -8 | 2 | 0.200 | 10 | 20 | 30 | 1 | 0 | 2 | 6 | 2 | 0 | 151 | 50 | 64 | 37 | 0 | 187 | 47 | 44 | 109 | 14 | 3 | 21.43% | 22 | 3 | 86.36% | 0 | 60 | 120 | 50.00% | 68 | 123 | 55.28% | 42 | 76 | 55.26% | 97 | 55 | 120 | 46 | 82 | 38 | 31.8% | 6.6% | 90.4% | 97.0 | Unlucky | |
_Since Last GM Reset | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 18 | -8 | 2 | 0.200 | 10 | 20 | 30 | 1 | 0 | 2 | 6 | 2 | 0 | 151 | 50 | 64 | 37 | 0 | 187 | 47 | 44 | 109 | 14 | 3 | 21.43% | 22 | 3 | 86.36% | 0 | 60 | 120 | 50.00% | 68 | 123 | 55.28% | 42 | 76 | 55.26% | 97 | 55 | 120 | 46 | 82 | 38 | 31.8% | 6.6% | 90.4% | 97.0 | Unlucky | |
Total | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 18 | -8 | 2 | 0.200 | 10 | 20 | 30 | 1 | 0 | 2 | 6 | 2 | 0 | 151 | 50 | 64 | 37 | 0 | 187 | 47 | 44 | 109 | 14 | 3 | 21.43% | 22 | 3 | 86.36% | 0 | 60 | 120 | 50.00% | 68 | 123 | 55.28% | 42 | 76 | 55.26% | 97 | 55 | 120 | 46 | 82 | 38 | 31.8% | 6.6% | 90.4% | 97.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 19 |
Neutral Zone | 16 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 120 |
Neutral Zone Start | 76 |
Defensive Zone Start | 123 |
Puck Time | |
---|---|
With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 170 |
Faceoffs Lost | 149 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.0 | 9.57 |
2nd Period | 22.8 | 20.31 |
3rd Period | 30.2 | 30.68 |
Overtime | 30.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.0 | 2.67 |
Overtime | 2.0 | 2.83 |
Even Strenght Goal | 6 |
---|---|
PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 1 | 0 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 14 |
---|---|
PP Goal | 3 |
PK Attempt | 22 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 30.2 |
Shots Against | 37.4 |
Goals For | 2.0 |
Goals Against | 3.6 |
Hits | 21.8 |
Shots Blocked | 9.4 |
Pim | 8.8 |
![]() | |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 20 |
Contracts | 51/50 |
LTIR Players | 0 |
Kraken Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Pelech ![]() | D | 29 | 4,250,000$ | 4,250,000$ | UFA | ||||||
Barclay Goodrow ![]() | C/LW | 31 | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | |||||
Brett Kulak ![]() | D | 30 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Connor Murphy ![]() | D | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
David Perron ![]() | LW/RW | 36 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Ian Cole ![]() | D | 35 | 3,700,000$ | 3,700,000$ | UFA | ||||||
Jake Allen ![]() | G | 33 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
Jani Hakanpaa ![]() | D | 32 | 6,200,000$ | 6,200,000$ | 6,200,000$ | 6,200,000$ | 6,200,000$ | UFA | |||
Jean-Gabriel Pageau ![]() | C | 31 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Joe Pavelski ![]() | RW | 39 | 7,250,000$ | 7,250,000$ | 7,250,000$ | UFA | |||||
Jonas Brodin ![]() | D | 30 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Joonas Korpisalo ![]() | G | 30 | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | UFA | ||||
Michael McCarron ![]() | C/RW | 29 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Michael McLeod ![]() | C | 26 | 1,500,000$ | 1,500,000$ | ![]() | ||||||
Oliver Bjorkstrand ![]() | LW/RW | 29 | 4,750,000$ | 4,750,000$ | UFA | ||||||
Patrice Bergeron ![]() | C/LW | 38 | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||||
Ryan Hartman ![]() | C/RW | 29 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Trent Frederic ![]() | LW/RW | 26 | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | UFA | |||
Vladimir Tarasenko ![]() | RW | 32 | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||||
Warren Foegele ![]() | LW/RW | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Belzile ![]() | C/RW | 32 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Alex Galchenyuk ![]() | C/LW/RW | 30 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Antti Raanta ![]() | G | 35 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Brett Ritchie ![]() | RW | 31 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Cale Fleury ![]() | D | 25 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Colton White ![]() | D | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
David Rittich ![]() | G | 31 | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||||
Gage Quinney ![]() | C/LW | 28 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Hudson Fasching ![]() | RW | 28 | 950,000$ | 975,000$ | UFA | ||||||
Jan Mysak ![]() | C/LW | 22 | 975,000$ | 975,000$ | RFA | ||||||
Jeremy Davies ![]() | D | 27 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Joel Kiviranta ![]() | LW/RW | 28 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Laurent Dauphin ![]() | C | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Matt Murray ![]() | G | 30 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Maxime Lagace ![]() | G | 31 | 975,000$ | 975,000$ | UFA | ||||||
Mikhail Maltsev ![]() | C/LW | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Milan Lucic ![]() | LW/RW | 36 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Nate Thompson ![]() | C | 39 | 1,950,000$ | 1,950,000$ | UFA | ||||||
Nathan Walker ![]() | LW | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Noah Juulsen ![]() | D | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Ondrej Kase ![]() | RW | 28 | 2,050,000$ | 2,050,000$ | UFA | ||||||
Patrick Guay ![]() | C/LW/RW | 22 | 975,000$ | 975,000$ | RFA | ||||||
Radim Zohorna ![]() | LW | 28 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Sammy Blais ![]() | LW/RW | 28 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Scott Harrington ![]() | D | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Sheldon Dries ![]() | C | 30 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Victor Mete ![]() | D | 26 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Wayne Simmonds ![]() | LW/RW | 35 | 4,500,000$ | 4,500,000$ | UFA | ||||||
Xavier Ouellet ![]() | D | 30 | 1,600,000$ | 1,600,000$ | UFA | ||||||
Zach Aston-Reese ![]() | LW/RW | 29 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | |||
Zach Sawchenko ![]() | G | 26 | 975,000$ | 975,000$ | ![]() |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 18 | -8 | 2 | 0.200 | 10 | 20 | 30 | 1 | 0 | 2 | 6 | 2 | 0 | 151 | 50 | 64 | 37 | 0 | 187 | 47 | 44 | 109 | 14 | 3 | 21.43% | 22 | 3 | 86.36% | 0 | 60 | 120 | 50.00% | 68 | 123 | 55.28% | 42 | 76 | 55.26% | 97 | 55 | 120 | 46 | 82 | 38 | 31.8% | 6.6% | 90.4% | 97.0 | Unlucky |
_Vs Division | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 18 | -8 | 2 | 0.200 | 10 | 20 | 30 | 1 | 0 | 2 | 6 | 2 | 0 | 151 | 50 | 64 | 37 | 0 | 187 | 47 | 44 | 109 | 14 | 3 | 21.43% | 22 | 3 | 86.36% | 0 | 60 | 120 | 50.00% | 68 | 123 | 55.28% | 42 | 76 | 55.26% | 97 | 55 | 120 | 46 | 82 | 38 | 31.8% | 6.6% | 90.4% | 97.0 | Unlucky | |
_Vs Conference | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 18 | -8 | 2 | 0.200 | 10 | 20 | 30 | 1 | 0 | 2 | 6 | 2 | 0 | 151 | 50 | 64 | 37 | 0 | 187 | 47 | 44 | 109 | 14 | 3 | 21.43% | 22 | 3 | 86.36% | 0 | 60 | 120 | 50.00% | 68 | 123 | 55.28% | 42 | 76 | 55.26% | 97 | 55 | 120 | 46 | 82 | 38 | 31.8% | 6.6% | 90.4% | 97.0 | Unlucky | |
_Since Last GM Reset | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 18 | -8 | 2 | 0.200 | 10 | 20 | 30 | 1 | 0 | 2 | 6 | 2 | 0 | 151 | 50 | 64 | 37 | 0 | 187 | 47 | 44 | 109 | 14 | 3 | 21.43% | 22 | 3 | 86.36% | 0 | 60 | 120 | 50.00% | 68 | 123 | 55.28% | 42 | 76 | 55.26% | 97 | 55 | 120 | 46 | 82 | 38 | 31.8% | 6.6% | 90.4% | 97.0 | Unlucky | |
Total | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 18 | -8 | 2 | 0.200 | 10 | 20 | 30 | 1 | 0 | 2 | 6 | 2 | 0 | 151 | 50 | 64 | 37 | 0 | 187 | 47 | 44 | 109 | 14 | 3 | 21.43% | 22 | 3 | 86.36% | 0 | 60 | 120 | 50.00% | 68 | 123 | 55.28% | 42 | 76 | 55.26% | 97 | 55 | 120 | 46 | 82 | 38 | 31.8% | 6.6% | 90.4% | 97.0 | Unlucky |
Puck Time | |
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Offensive Zone | 19 |
Neutral Zone | 16 |
Defensive Zone | 24 |
Puck Time | |
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Offensive Zone Start | 120 |
Neutral Zone Start | 76 |
Defensive Zone Start | 123 |
Puck Time | |
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With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 170 |
Faceoffs Lost | 149 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.0 | 9.57 |
2nd Period | 22.8 | 20.31 |
3rd Period | 30.2 | 30.68 |
Overtime | 30.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.0 | 2.67 |
Overtime | 2.0 | 2.83 |
Even Strenght Goal | 6 |
---|---|
PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 1 | 0 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 14 |
---|---|
PP Goal | 3 |
PK Attempt | 22 |
PK Goal Against | 3 |
Home | |
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Shots For | 30.2 |
Shots Against | 37.4 |
Goals For | 2.0 |
Goals Against | 3.6 |
Hits | 21.8 |
Shots Blocked | 9.4 |
Pim | 8.8 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
Sat, Oct 12 | ![]() | @ | ![]() | SJ 2,SEA3 | RECAP |
Sun, Oct 13 | ![]() | @ | ![]() | SJ 3,SEA2 | RECAP |
Mon, Oct 14 | ![]() | @ | ![]() | SEA1,SJ 5 | RECAP |
Tue, Oct 15 | ![]() | @ | ![]() | SEA2,SJ 4 | RECAP |
Wed, Oct 16 | ![]() | @ | ![]() | SJ 4,SEA2 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
87,600,000$ | 0$ | 0$ | 88,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Climate Pledge Arena | |
City | Seattle | ||
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$ | 25$ | 200$ |
Attendance | 16050 | 12803 | 6000 | 8789 | 3000 |
Attendance PCT | 89.17% | 85.35% | 100.00% | 73.24% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
38 | 15547 - 86.37% | 1,474,592$ | 4,423,777$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
87,600,000$ | 87,600,000$ | 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$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 18,199,685$ | 18,199,685$ |
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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 |
---|---|---|---|---|---|---|---|
2025 | ![]() | ||||||
2028 | ![]() | ![]() | ![]() | ||||
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Cade Webber | ![]() | 2019 | 108 | ||
Cam Hillis | ![]() | 2018 | 79 | ||
Carl Dahlstrom | ![]() | Link | |||
Cody Eakin | ![]() | Link | |||
Frederik Gauthier | ![]() | Link | |||
Joachim Blichfeld | ![]() | 2017 | 190 | Link | |
Joel Kellman | ![]() | Link | |||
Josh Dickinson | ![]() | Link | |||
Kalle Loponen | ![]() | 2019 | 215 | ||
Kasper Bjorkqvist | ![]() | 2016 | 74 | ||
Marcus Davidsson | ![]() | 2017 | 60 | ||
Thomas Hickey | ![]() | Link | |||
Tyler Weiss | ![]() | 2018 | 141 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2025 | ![]() | ||||||
2028 | ![]() | ![]() | ![]() | ||||
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Cade Webber | ![]() | 2019 | 108 | ||
Cam Hillis | ![]() | 2018 | 79 | ||
Carl Dahlstrom | ![]() | Link | |||
Cody Eakin | ![]() | Link | |||
Frederik Gauthier | ![]() | Link | |||
Joachim Blichfeld | ![]() | 2017 | 190 | Link | |
Joel Kellman | ![]() | Link | |||
Josh Dickinson | ![]() | Link | |||
Kalle Loponen | ![]() | 2019 | 215 | ||
Kasper Bjorkqvist | ![]() | 2016 | 74 | ||
Marcus Davidsson | ![]() | 2017 | 60 | ||
Thomas Hickey | ![]() | Link | |||
Tyler Weiss | ![]() | 2018 | 141 |
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