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Seattle Kraken 7-6-0, 14pts |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 78 | 36 | 92 | 61 | 83 | 80 | 74 | 62 | 77 | 65 | 63 | 81 | 62 | 74 | 73 | 26 | 83 | 0 | 33 | 750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 58 | 35 | 82 | 64 | 76 | 78 | 73 | 66 | 79 | 63 | 61 | 62 | 66 | 82 | 73 | 58 | 81 | 0 | 33 | 1,200,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 62 | 50 | 91 | 88 | 67 | 89 | 94 | 82 | 79 | 80 | 85 | 74 | 84 | 69 | 71 | 65 | 82 | 0 | 27 | 6,750,000$/7yrs | |||
![]() | 0 | C/LW | 100.00 | 58 | 39 | 79 | 75 | 74 | 88 | 89 | 76 | 71 | 77 | 78 | 66 | 75 | 67 | 71 | 56 | 81 | 0 | 27 | 1,000,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 39 | 89 | 81 | 67 | 86 | 90 | 72 | 63 | 71 | 74 | 75 | 73 | 64 | 67 | 58 | 83 | 0 | 24 | 1,500,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 62 | 36 | 93 | 73 | 75 | 84 | 91 | 74 | 58 | 72 | 69 | 62 | 75 | 66 | 67 | 80 | 81 | 0 | 26 | 750,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 67 | 35 | 92 | 72 | 76 | 85 | 90 | 73 | 58 | 71 | 74 | 64 | 73 | 68 | 70 | 42 | 83 | 0 | 27 | 3,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 69 | 38 | 84 | 75 | 78 | 90 | 92 | 76 | 90 | 74 | 81 | 75 | 78 | 72 | 86 | 73 | 80 | 0 | 28 | 5,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 81 | 39 | 92 | 64 | 80 | 79 | 75 | 62 | 89 | 63 | 62 | 75 | 62 | 69 | 70 | 35 | 83 | 0 | 30 | 750,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 62 | 35 | 93 | 74 | 73 | 85 | 89 | 72 | 56 | 69 | 73 | 66 | 75 | 68 | 71 | 80 | 80 | 0 | 26 | 3,700,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 62 | 33 | 93 | 82 | 65 | 89 | 87 | 79 | 62 | 78 | 77 | 64 | 83 | 67 | 72 | 85 | 83 | 0 | 24 | 7,150,000$/6yrs | |||
![]() | 0 | D | 100.00 | 62 | 33 | 88 | 77 | 64 | 93 | 88 | 69 | 30 | 81 | 65 | 71 | 56 | 66 | 69 | 70 | 80 | 0 | 24 | 5,000,000$/5yrs | |||
![]() | 0 | D | 100.00 | 80 | 36 | 78 | 67 | 81 | 92 | 90 | 66 | 30 | 73 | 62 | 76 | 53 | 67 | 68 | 37 | 81 | 0 | 27 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 37 | 81 | 72 | 85 | 91 | 94 | 69 | 30 | 76 | 65 | 84 | 54 | 71 | 69 | 66 | 83 | 0 | 29 | 5,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 55 | 42 | 86 | 61 | 82 | 88 | 84 | 59 | 30 | 73 | 55 | 83 | 48 | 74 | 71 | 34 | 80 | 0 | 31 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 57 | 38 | 89 | 78 | 83 | 95 | 86 | 76 | 30 | 82 | 73 | 76 | 59 | 68 | 67 | 84 | 77 | 0 | 25 | 5,000,000$/6yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 63 | 34 | 82 | 84 | 69 | 90 | 76 | 89 | 55 | 92 | 86 | 63 | 90 | 74 | 77 | 56 | 81 | 0 | 29 | 9,500,000$/5yrs | |||
![]() | 0 | D | 100.00 | 72 | 42 | 90 | 75 | 81 | 89 | 67 | 72 | 25 | 79 | 73 | 76 | 63 | 72 | 75 | 67 | 75 | 0 | 31 | 6,250,000$/5yrs | |||
![]() | 0 | D | 100.00 | 59 | 32 | 76 | 71 | 67 | 86 | 87 | 68 | 30 | 73 | 59 | 60 | 51 | 63 | 65 | 83 | 81 | 0 | 23 | 900,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 65 | 37 | 87 | 73 | 75 | 87 | 85 | 72 | 55 | 74 | 70 | 71 | 67 | 70 | 71 | 61 | 81 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 90 | 93 | 91 | 83 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 66 | 73 | 79 | 83 | 0 | 26 | 1,800,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 94 | 96 | 90 | 77 | 93 | 92 | 94 | 93 | 92 | 94 | 93 | 86 | 88 | 51 | 80 | 0 | 34 | 9,250,000$/4yrs |
TEAM AVERAGE | 100.00 | 92 | 95 | 91 | 80 | 91 | 90 | 92 | 91 | 90 | 92 | 91 | 76 | 81 | 65 | 82 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Gerard Gallant | 78 | 83 | 79 | 77 | 88 | 82 | 58 | CAN | 59 | 1 | 5,000,000$ |
General Manager | Daniel Deschenes |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Brayden Point | 0 | C/RW | 13 | 8 | 10 | 18 | 2 | 2 | 0 | 28 | 55 | 12 | 35 | 14.55% | 10 | 22.86 | 1 | 3 | 4 | 14 | 0 | 0 | 0 | 27 | 2 | 1 | 51.54% | 357 | 18 | 5 | 0 | 0 | 1.21 | 0 | 0 | ||
2 | Carter Verhaeghe | 0 | C/LW | 13 | 6 | 9 | 15 | 4 | 0 | 0 | 20 | 32 | 16 | 12 | 18.75% | 5 | 17.88 | 1 | 0 | 1 | 10 | 0 | 0 | 0 | 9 | 0 | 0 | 64.29% | 14 | 7 | 8 | 0 | 0 | 1.29 | 0 | 0 | ||
3 | Nikita Kucherov | 0 | RW | 13 | 9 | 6 | 15 | 2 | 10 | 0 | 27 | 54 | 15 | 29 | 16.67% | 4 | 19.85 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 31.58% | 19 | 15 | 1 | 1 | 1 | 1.16 | 0 | 0 | ||
4 | Clayton Keller | 0 | RW | 13 | 5 | 8 | 13 | 5 | 0 | 0 | 14 | 55 | 10 | 25 | 9.09% | 4 | 18.24 | 0 | 1 | 1 | 10 | 0 | 0 | 0 | 11 | 1 | 1 | 28.57% | 7 | 13 | 4 | 0 | 0 | 1.10 | 0 | 0 | ||
5 | Brandon Hagel | 0 | LW/RW | 13 | 3 | 9 | 12 | -2 | 2 | 0 | 20 | 37 | 14 | 31 | 8.11% | 2 | 14.39 | 0 | 4 | 4 | 14 | 0 | 0 | 0 | 10 | 0 | 0 | 27.27% | 11 | 6 | 4 | 0 | 0 | 1.28 | 0 | 0 | ||
6 | Bo Horvat | 0 | C | 13 | 3 | 7 | 10 | 5 | 0 | 0 | 24 | 28 | 13 | 34 | 10.71% | 3 | 18.23 | 0 | 1 | 1 | 10 | 0 | 0 | 0 | 11 | 0 | 1 | 54.67% | 150 | 5 | 5 | 0 | 0 | 0.84 | 0 | 0 | ||
7 | Ryan Ellis | 0 | D | 12 | 0 | 6 | 6 | -1 | 2 | 0 | 11 | 9 | 6 | 7 | 0.00% | 8 | 18.96 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 5 | 6 | 0 | 0 | 0.53 | 0 | 0 | ||
8 | Sonny Milano | 0 | LW | 13 | 4 | 2 | 6 | 0 | 2 | 0 | 34 | 32 | 7 | 24 | 12.50% | 4 | 16.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 100.00% | 2 | 2 | 2 | 0 | 0 | 0.54 | 0 | 0 | ||
9 | Brady Skjei | 0 | D | 13 | 1 | 4 | 5 | 3 | 16 | 0 | 23 | 21 | 9 | 8 | 4.76% | 23 | 27.30 | 1 | 0 | 1 | 14 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 4 | 17 | 0 | 0 | 0.28 | 0 | 0 | ||
10 | Dominik Kubalik | 0 | LW | 13 | 3 | 1 | 4 | -1 | 2 | 0 | 10 | 20 | 3 | 6 | 15.00% | 10 | 10.27 | 2 | 0 | 2 | 14 | 0 | 0 | 0 | 28 | 1 | 0 | 34.55% | 55 | 2 | 3 | 0 | 0 | 0.60 | 0 | 0 | ||
11 | Jake DeBrusk | 0 | LW | 13 | 0 | 4 | 4 | 3 | 0 | 0 | 21 | 6 | 2 | 4 | 0.00% | 12 | 19.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 21 | 0 | 6 | 0 | 0 | 0.31 | 0 | 0 | ||
12 | Samuel Girard | 0 | D | 13 | 0 | 2 | 2 | -1 | 4 | 0 | 8 | 12 | 3 | 2 | 0.00% | 20 | 19.69 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 4 | 10 | 0 | 0 | 0.16 | 0 | 0 | ||
13 | Artem Zub | 0 | D | 13 | 1 | 1 | 2 | 8 | 2 | 0 | 17 | 6 | 2 | 5 | 16.67% | 10 | 15.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 3 | 4 | 1 | 0 | 0.19 | 0 | 0 | ||
14 | Patrick Brown | 0 | C | 13 | 1 | 1 | 2 | -1 | 0 | 0 | 20 | 12 | 2 | 1 | 8.33% | 4 | 12.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.80% | 125 | 2 | 2 | 0 | 0 | 0.25 | 0 | 0 | ||
15 | Trevor van Riemsdyk | 0 | D | 13 | 0 | 1 | 1 | 4 | 2 | 0 | 4 | 5 | 1 | 3 | 0.00% | 10 | 15.68 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 8 | 0 | 0 | 0.10 | 0 | 0 | ||
16 | Zach Werenski | 0 | D | 7 | 0 | 1 | 1 | -1 | 8 | 0 | 3 | 18 | 2 | 8 | 0.00% | 11 | 25.08 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 6 | 7 | 0 | 0 | 0.11 | 0 | 0 | ||
17 | Carter Rowney | 0 | C | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 2 | 2 | 0.00% | 2 | 6.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 52.94% | 34 | 1 | 2 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Kyle Turris | 0 | C | 13 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 1.80 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Erik Brannstrom | 0 | D | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 6 | 1 | 3 | 0.00% | 10 | 22.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 3 | 5 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 234 | 44 | 72 | 116 | 30 | 52 | 0 | 307 | 413 | 120 | 239 | 10.65% | 152 | 16.69 | 5 | 9 | 14 | 129 | 0 | 0 | 0 | 206 | 7 | 4 | 49.06% | 795 | 96 | 99 | 2 | 1 | 0.59 | 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 | Sergei Bobrovsky | 13 | 7 | 3 | 3 | 0.910 | 2.74 | 789 | 2 | 0 | 36 | 400 | 152 | 1 | 0 | 0.000 | 0 | 13 | 0 | 0 | 1 | 1 | |
Team Total or Average | 13 | 7 | 3 | 3 | 0.910 | 2.74 | 789 | 2 | 0 | 36 | 400 | 152 | 1 | 0 | 0.000 | 0 | 13 | 0 | 0 | 1 | 1 |
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 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 22 | 16 | 6 | 8 | 0.667 | 22 | 36 | 58 | 0 | 0 | 7 | 10 | 5 | 0 | 200 | 66 | 60 | 74 | 0 | 174 | 59 | 24 | 131 | 10 | 3 | 30.00% | 12 | 2 | 83.33% | 0 | 135 | 268 | 50.37% | 165 | 338 | 48.82% | 90 | 189 | 47.62% | 126 | 75 | 134 | 52 | 101 | 50 | 57.6% | 11.0% | 90.8% | 101.8 | FUN | |
2 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 22 | 20 | 2 | 6 | 0.429 | 22 | 36 | 58 | 0 | 0 | 9 | 5 | 7 | 1 | 213 | 69 | 51 | 88 | 5 | 226 | 93 | 30 | 176 | 6 | 2 | 33.33% | 15 | 1 | 93.33% | 0 | 135 | 268 | 50.37% | 165 | 338 | 48.82% | 90 | 189 | 47.62% | 149 | 88 | 159 | 63 | 120 | 58 | 51.3% | 10.3% | 91.2% | 101.5 | LUCKY | |
_Vs Conference | 13 | 7 | 6 | 0 | 0 | 0 | 0 | 0 | 44 | 36 | 8 | 14 | 0.538 | 44 | 72 | 116 | 0 | 0 | 16 | 15 | 12 | 1 | 413 | 135 | 111 | 162 | 5 | 400 | 152 | 54 | 307 | 16 | 5 | 31.25% | 27 | 3 | 88.89% | 0 | 135 | 268 | 50.37% | 165 | 338 | 48.82% | 90 | 189 | 47.62% | 275 | 163 | 294 | 115 | 222 | 108 | 54.2% | 10.7% | 91.0% | 101.7 | FUN | |
_Since Last GM Reset | 13 | 7 | 6 | 0 | 0 | 0 | 0 | 0 | 44 | 36 | 8 | 14 | 0.538 | 44 | 72 | 116 | 0 | 0 | 16 | 15 | 12 | 1 | 413 | 135 | 111 | 162 | 5 | 400 | 152 | 54 | 307 | 16 | 5 | 31.25% | 27 | 3 | 88.89% | 0 | 135 | 268 | 50.37% | 165 | 338 | 48.82% | 90 | 189 | 47.62% | 275 | 163 | 294 | 115 | 222 | 108 | 54.2% | 10.7% | 91.0% | 101.7 | FUN | |
Total | 13 | 7 | 6 | 0 | 0 | 0 | 0 | 0 | 44 | 36 | 8 | 14 | 0.538 | 44 | 72 | 116 | 0 | 0 | 16 | 15 | 12 | 1 | 413 | 135 | 111 | 162 | 5 | 400 | 152 | 54 | 307 | 16 | 5 | 31.25% | 27 | 3 | 88.89% | 0 | 135 | 268 | 50.37% | 165 | 338 | 48.82% | 90 | 189 | 47.62% | 275 | 163 | 294 | 115 | 222 | 108 | 54.2% | 10.7% | 91.0% | 101.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 268 |
Neutral Zone Start | 189 |
Defensive Zone Start | 338 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 390 |
Faceoffs Lost | 405 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.4 | 9.57 |
2nd Period | 18.9 | 20.31 |
3rd Period | 31.4 | 30.68 |
Overtime | 31.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 39 |
---|---|
PP Goal | 5 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 4 |
Lost | 3 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 16 |
---|---|
PP Goal | 5 |
PK Attempt | 27 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 31.8 |
Shots Against | 30.8 |
Goals For | 3.4 |
Goals Against | 2.8 |
Hits | 23.6 |
Shots Blocked | 11.7 |
Pim | 4.2 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 85,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Kraken Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Artem Zub ![]() | D | 27 | 2,500,000$ | 2,500,000$ | |||||||
Bo Horvat | C | 28 | 5,500,000$ | 5,500,000$ | |||||||
Brady Skjei | D | 29 | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||||
Brandon Hagel ![]() | LW/RW | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | RFA | |||||
Brayden Point | C/RW | 27 | 6,750,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA |
Carter Rowney | C | 33 | 750,000$ | 750,000$ | UFA | ||||||
Carter Verhaeghe ![]() | C/LW | 27 | 1,000,000$ | 1,000,000$ | 4,166,666$ | 4,166,666$ | 4,166,666$ | UFA | |||
Clayton Keller | RW | 24 | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | ||
Dominik Kubalik ![]() | LW | 27 | 3,000,000$ | 3,000,000$ | |||||||
Erik Brannstrom ![]() | D | 23 | 900,000$ | 900,000$ | RFA | ||||||
Ilya Samsonov ![]() | G | 26 | 1,800,000$ | 1,800,000$ | RFA | ||||||
Jake DeBrusk ![]() | LW | 26 | 3,700,000$ | 3,700,000$ | 3,700,000$ | ||||||
Kyle Turris ![]() | C | 33 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Nikita Kucherov | RW | 29 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||
Patrick Brown ![]() | C | 30 | 750,000$ | 750,000$ | UFA | ||||||
Ryan Ellis | D | 31 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | ||
Samuel Girard | D | 24 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||
Sergei Bobrovsky | G | 34 | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | UFA | |||
Sonny Milano ![]() | LW | 26 | 750,000$ | 750,000$ | |||||||
Trevor van Riemsdyk | D | 31 | 750,000$ | 750,000$ | UFA | ||||||
Zach Werenski | D | 25 | 5,000,000$ | 9,583,333$ | 9,583,333$ | 9,583,333$ | 9,583,333$ | 9,583,333$ | 9,583,333$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brennan Menell ![]() | D | 25 | 750,000$ | 750,000$ | RFA | ||||||
Brett Connolly ![]() | RW | 30 | 750,000$ | 750,000$ | UFA | ||||||
Haydn Fleury ![]() | D | 26 | 762,500$ | 762,500$ | 762,500$ | ||||||
Michael Dal Colle ![]() | LW | 26 | 0$ | ||||||||
Mikko Koskinen ![]() | G | 34 | 0$ | 750,000$ | UFA | ||||||
Noah Juulsen ![]() | D | 26 | 750,000$ | 750,000$ | RFA | ||||||
Stuart Skinner ![]() | G | 24 | 750,000$ | 750,000$ | RFA | ||||||
Will Butcher ![]() | D | 28 | 0$ | 750,000$ | 750,000$ |
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Goalies | |||||||
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Priority | Type | Description |
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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 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 22 | 16 | 6 | 8 | 0.667 | 22 | 36 | 58 | 0 | 0 | 7 | 10 | 5 | 0 | 200 | 66 | 60 | 74 | 0 | 174 | 59 | 24 | 131 | 10 | 3 | 30.00% | 12 | 2 | 83.33% | 0 | 135 | 268 | 50.37% | 165 | 338 | 48.82% | 90 | 189 | 47.62% | 126 | 75 | 134 | 52 | 101 | 50 | 57.6% | 11.0% | 90.8% | 101.8 | FUN | |
2 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 22 | 20 | 2 | 6 | 0.429 | 22 | 36 | 58 | 0 | 0 | 9 | 5 | 7 | 1 | 213 | 69 | 51 | 88 | 5 | 226 | 93 | 30 | 176 | 6 | 2 | 33.33% | 15 | 1 | 93.33% | 0 | 135 | 268 | 50.37% | 165 | 338 | 48.82% | 90 | 189 | 47.62% | 149 | 88 | 159 | 63 | 120 | 58 | 51.3% | 10.3% | 91.2% | 101.5 | LUCKY | |
_Vs Conference | 13 | 7 | 6 | 0 | 0 | 0 | 0 | 0 | 44 | 36 | 8 | 14 | 0.538 | 44 | 72 | 116 | 0 | 0 | 16 | 15 | 12 | 1 | 413 | 135 | 111 | 162 | 5 | 400 | 152 | 54 | 307 | 16 | 5 | 31.25% | 27 | 3 | 88.89% | 0 | 135 | 268 | 50.37% | 165 | 338 | 48.82% | 90 | 189 | 47.62% | 275 | 163 | 294 | 115 | 222 | 108 | 54.2% | 10.7% | 91.0% | 101.7 | FUN | |
_Since Last GM Reset | 13 | 7 | 6 | 0 | 0 | 0 | 0 | 0 | 44 | 36 | 8 | 14 | 0.538 | 44 | 72 | 116 | 0 | 0 | 16 | 15 | 12 | 1 | 413 | 135 | 111 | 162 | 5 | 400 | 152 | 54 | 307 | 16 | 5 | 31.25% | 27 | 3 | 88.89% | 0 | 135 | 268 | 50.37% | 165 | 338 | 48.82% | 90 | 189 | 47.62% | 275 | 163 | 294 | 115 | 222 | 108 | 54.2% | 10.7% | 91.0% | 101.7 | FUN | |
Total | 13 | 7 | 6 | 0 | 0 | 0 | 0 | 0 | 44 | 36 | 8 | 14 | 0.538 | 44 | 72 | 116 | 0 | 0 | 16 | 15 | 12 | 1 | 413 | 135 | 111 | 162 | 5 | 400 | 152 | 54 | 307 | 16 | 5 | 31.25% | 27 | 3 | 88.89% | 0 | 135 | 268 | 50.37% | 165 | 338 | 48.82% | 90 | 189 | 47.62% | 275 | 163 | 294 | 115 | 222 | 108 | 54.2% | 10.7% | 91.0% | 101.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 268 |
Neutral Zone Start | 189 |
Defensive Zone Start | 338 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 390 |
Faceoffs Lost | 405 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.4 | 9.57 |
2nd Period | 18.9 | 20.31 |
3rd Period | 31.4 | 30.68 |
Overtime | 31.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 39 |
---|---|
PP Goal | 5 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 4 |
Lost | 3 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 16 |
---|---|
PP Goal | 5 |
PK Attempt | 27 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 31.8 |
Shots Against | 30.8 |
Goals For | 3.4 |
Goals Against | 2.8 |
Hits | 23.6 |
Shots Blocked | 11.7 |
Pim | 4.2 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-04-08 | VS | SEA3,COL4 (OT) | RECAP | ||
2023-04-10 | VS | SEA5,COL3 | RECAP | ||
2023-04-12 | VS | COL4,SEA6 | RECAP | ||
2023-04-14 | VS | COL2,SEA1 | RECAP | ||
2023-04-16 | VS | SEA4,COL2 | RECAP | ||
2023-04-18 | VS | COL1,SEA3 | RECAP | ||
2023-04-22 | VS | SEA2,DAL3 (OT) | RECAP | ||
2023-04-24 | VS | SEA5,DAL4 (OT) | RECAP | ||
2023-04-26 | VS | DAL3,SEA2 | RECAP | ||
2023-04-28 | VS | DAL2,SEA1 (OT) | RECAP | ||
2023-04-30 | VS | SEA5,DAL3 | RECAP | ||
2023-05-02 | VS | DAL2,SEA5 | RECAP | ||
2023-05-04 | VS | SEA2,DAL3 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
87,083,333$ | 0$ | 0$ | 85,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Enterprise Center | |
City | Seattle | ||
Capacity | 19150 | ||
Season Ticket Holders | 70% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 3000 | 4000 | 1150 |
Ticket Price | 160$ | 115$ | 80$ | 50$ | 220$ |
Attendance | 28965 | 26643 | 14264 | 23111 | 6390 |
Attendance PCT | 80.46% | 88.81% | 79.24% | 96.30% | 92.61% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
35 | 16562 - 86.49% | 2,375,170$ | 14,251,018$ | 19150 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
87,083,333$ | 79,750,000$ | 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$ | 81,113,365$ | 81,113,365$ |
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 |
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2023 | |||||
2024 | |||||
2025 | |||||
2026 | |||||
2027 |
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 |
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Alex Vlasic | |||||
Anttoni Honka | |||||
Artyom Galimov | |||||
Ben Meyers | |||||
Connor Dewar | |||||
Elias Salomonsson | |||||
Jack Bar | |||||
Jamieson Rees | |||||
Maxim Groshev | |||||
Nathan Smith | |||||
Noah Beck | |||||
Oskar Olausson | 2021 | 25 | |||
Simon Robertsson | 2021 | 48 | |||
Tyson Hind | |||||
Vladislav Kamenev |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
2023 | |||||
2024 | |||||
2025 | |||||
2026 | |||||
2027 |
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 |
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Alex Vlasic | |||||
Anttoni Honka | |||||
Artyom Galimov | |||||
Ben Meyers | |||||
Connor Dewar | |||||
Elias Salomonsson | |||||
Jack Bar | |||||
Jamieson Rees | |||||
Maxim Groshev | |||||
Nathan Smith | |||||
Noah Beck | |||||
Oskar Olausson | 2021 | 25 | |||
Simon Robertsson | 2021 | 48 | |||
Tyson Hind | |||||
Vladislav Kamenev |
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