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Dallas Stars 16-5-0, 32pts · 1st in Western Conference |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 57 | 38 | 81 | 72 | 85 | 87 | 90 | 73 | 56 | 71 | 75 | 62 | 74 | 84 | 76 | 54 | 90 | 0 | 33 | 1,500,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 66 | 35 | 94 | 70 | 73 | 82 | 84 | 64 | 72 | 65 | 66 | 83 | 62 | 84 | 77 | 33 | 97 | 0 | 36 | 1,250,000$/1yrs | |||
![]() | 0 | C | 100.00 | 67 | 36 | 93 | 82 | 85 | 92 | 86 | 81 | 84 | 86 | 82 | 64 | 80 | 75 | 77 | 69 | 98 | 0 | 30 | 6,125,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 36 | 82 | 73 | 78 | 88 | 91 | 78 | 58 | 82 | 77 | 65 | 78 | 86 | 76 | 43 | 98 | 0 | 34 | 5,500,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 58 | 35 | 89 | 82 | 74 | 85 | 81 | 76 | 59 | 73 | 82 | 62 | 79 | 68 | 71 | 81 | 98 | 0 | 27 | 5,250,000$/2yrs | |||
![]() | 0 | C | 100.00 | 57 | 36 | 81 | 84 | 82 | 90 | 93 | 82 | 81 | 83 | 74 | 69 | 78 | 75 | 74 | 63 | 98 | 0 | 30 | 7,800,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 71 | 40 | 84 | 66 | 85 | 84 | 83 | 65 | 78 | 69 | 64 | 80 | 65 | 69 | 71 | 53 | 96 | 0 | 29 | 2,700,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 63 | 38 | 86 | 79 | 75 | 89 | 90 | 73 | 86 | 79 | 74 | 81 | 73 | 70 | 72 | 54 | 90 | 0 | 29 | 2,750,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 56 | 34 | 88 | 76 | 71 | 84 | 83 | 74 | 78 | 73 | 70 | 68 | 71 | 64 | 66 | 63 | 97 | 0 | 26 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 38 | 86 | 82 | 89 | 88 | 83 | 81 | 68 | 80 | 80 | 79 | 76 | 68 | 70 | 79 | 97 | 0 | 26 | 4,750,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 38 | 83 | 80 | 77 | 89 | 94 | 78 | 58 | 83 | 79 | 82 | 76 | 69 | 70 | 56 | 96 | 0 | 28 | 5,800,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 58 | 33 | 93 | 74 | 65 | 85 | 90 | 73 | 59 | 71 | 74 | 61 | 72 | 73 | 75 | 35 | 97 | 0 | 30 | 1,250,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 82 | 73 | 85 | 67 | 88 | 85 | 89 | 65 | 58 | 66 | 67 | 75 | 63 | 69 | 70 | 56 | 83 | 0 | 28 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 57 | 33 | 87 | 74 | 65 | 90 | 87 | 71 | 30 | 77 | 64 | 61 | 55 | 70 | 72 | 53 | 97 | 0 | 29 | 2,700,000$/2yrs | |||
![]() | 0 | D | 100.00 | 59 | 34 | 91 | 75 | 72 | 88 | 83 | 71 | 30 | 76 | 72 | 60 | 58 | 62 | 63 | 87 | 97 | 0 | 22 | 2,600,000$/3yrs | |||
![]() | 0 | D | 100.00 | 67 | 36 | 89 | 81 | 83 | 93 | 90 | 75 | 30 | 88 | 68 | 73 | 56 | 75 | 77 | 73 | 97 | 0 | 29 | 7,500,000$/8yrs | |||
![]() | 0 | D | 100.00 | 63 | 35 | 78 | 73 | 74 | 89 | 90 | 70 | 30 | 76 | 71 | 74 | 58 | 70 | 69 | 58 | 98 | 0 | 29 | 4,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 59 | 37 | 91 | 71 | 85 | 94 | 86 | 66 | 30 | 78 | 59 | 94 | 51 | 72 | 71 | 49 | 97 | 0 | 28 | 5,300,000$/3yrs | |||
![]() | 0 | D | 100.00 | 88 | 60 | 74 | 67 | 89 | 90 | 86 | 63 | 30 | 75 | 60 | 87 | 52 | 66 | 65 | 72 | 88 | 0 | 25 | 2,950,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 97.09 | 73 | 36 | 89 | 81 | 78 | 89 | 87 | 83 | 59 | 82 | 86 | 62 | 88 | 73 | 74 | 69 | 83 | 0 | 28 | 8,500,000$/6yrs | |||
TEAM AVERAGE | 99.85 | 64 | 39 | 86 | 75 | 79 | 88 | 87 | 73 | 57 | 77 | 72 | 72 | 68 | 72 | 72 | 60 | 95 | 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 | 85 | 79 | 84 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 82 | 88 | 51 | 92 | 0 | 35 | 750,000$/1yrs |
![]() | 0 | 100.00 | 95 | 91 | 93 | 79 | 94 | 93 | 95 | 94 | 93 | 95 | 94 | 69 | 77 | 62 | 97 | 0 | 27 | 2,100,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 93 | 88 | 86 | 82 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 76 | 83 | 57 | 95 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Brunette | 76 | 80 | 85 | 69 | 73 | 68 | 77 | CAN | 49 | 3 | 1,000,000$ |
General Manager | Simon Matte |
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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 | Mark Scheifele | 0 | C | 21 | 12 | 15 | 27 | 12 | 2 | 0 | 33 | 80 | 29 | 37 | 15.00% | 6 | 20.65 | 0 | 1 | 1 | 26 | 0 | 0 | 0 | 10 | 5 | 2 | 47.91% | 574 | 11 | 4 | 0 | 1 | 1.25 | 0 | 0 | ||
2 | Pavel Buchnevich | 0 | LW/RW | 21 | 7 | 16 | 23 | 12 | 2 | 0 | 26 | 55 | 15 | 34 | 12.73% | 11 | 19.87 | 1 | 0 | 1 | 26 | 0 | 0 | 0 | 0 | 3 | 0 | 45.95% | 37 | 15 | 7 | 0 | 0 | 1.10 | 0 | 0 | ||
3 | Filip Forsberg | 0 | LW | 17 | 10 | 12 | 22 | 13 | 0 | 0 | 33 | 69 | 22 | 24 | 14.49% | 6 | 20.39 | 1 | 1 | 2 | 23 | 0 | 0 | 0 | 0 | 0 | 1 | 23.08% | 26 | 14 | 8 | 0 | 0 | 1.27 | 0 | 0 | ||
4 | Evgeny Kuznetsov | 0 | C | 21 | 14 | 8 | 22 | 3 | 4 | 0 | 24 | 73 | 19 | 41 | 19.18% | 7 | 18.49 | 2 | 0 | 2 | 23 | 0 | 1 | 1 | 13 | 4 | 0 | 49.51% | 412 | 15 | 8 | 0 | 1 | 1.13 | 0 | 0 | ||
5 | Alex Tuch | 0 | LW/RW | 21 | 3 | 9 | 12 | 1 | 4 | 0 | 32 | 47 | 21 | 43 | 6.38% | 10 | 18.33 | 0 | 2 | 2 | 23 | 0 | 0 | 0 | 8 | 0 | 0 | 21.05% | 19 | 21 | 14 | 0 | 0 | 0.62 | 0 | 0 | ||
6 | David Perron | 0 | LW/RW | 21 | 2 | 9 | 11 | -3 | 4 | 0 | 36 | 45 | 17 | 37 | 4.44% | 4 | 16.16 | 0 | 3 | 3 | 23 | 0 | 0 | 0 | 0 | 0 | 0 | 43.75% | 16 | 12 | 11 | 0 | 0 | 0.65 | 0 | 0 | ||
7 | Jaccob Slavin | 0 | D | 21 | 1 | 7 | 8 | 1 | 2 | 0 | 13 | 24 | 11 | 7 | 4.17% | 26 | 23.38 | 1 | 1 | 2 | 22 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 3 | 28 | 0 | 0 | 0.33 | 0 | 0 | ||
8 | Morgan Rielly | 0 | D | 21 | 1 | 6 | 7 | 3 | 0 | 0 | 24 | 29 | 13 | 18 | 3.45% | 30 | 23.16 | 0 | 0 | 0 | 27 | 0 | 0 | 0 | 14 | 0 | 1 | 0.00% | 0 | 13 | 16 | 0 | 0 | 0.29 | 0 | 0 | ||
9 | Jakub Vrana | 0 | LW | 21 | 4 | 3 | 7 | 1 | 4 | 0 | 21 | 43 | 10 | 31 | 9.30% | 6 | 14.89 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 1 | 1 | 58.33% | 12 | 14 | 5 | 0 | 0 | 0.45 | 0 | 0 | ||
10 | Chandler Stephenson | 0 | C/LW | 15 | 4 | 3 | 7 | -1 | 0 | 0 | 11 | 25 | 5 | 11 | 16.00% | 10 | 12.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 0 | 48.04% | 102 | 4 | 3 | 1 | 0 | 0.77 | 0 | 0 | ||
11 | Brandon Montour | 0 | D | 21 | 0 | 7 | 7 | 3 | 4 | 0 | 36 | 20 | 9 | 13 | 0.00% | 31 | 22.58 | 0 | 1 | 1 | 22 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 9 | 20 | 0 | 0 | 0.30 | 0 | 0 | ||
12 | Conor Sheary | 0 | LW/RW | 21 | 4 | 2 | 6 | -1 | 0 | 0 | 10 | 51 | 13 | 27 | 7.84% | 2 | 9.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 5 | 2 | 0 | 0 | 0.63 | 0 | 0 | ||
13 | Erik Cernak | 0 | D | 21 | 1 | 5 | 6 | 3 | 9 | 5 | 59 | 24 | 10 | 9 | 4.17% | 25 | 21.60 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 6 | 21 | 0 | 0 | 0.26 | 0 | 0 | ||
14 | Darren Helm | 0 | C/LW/RW | 21 | 3 | 1 | 4 | 0 | 0 | 0 | 19 | 21 | 6 | 8 | 14.29% | 3 | 9.57 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 21 | 1 | 0 | 58.33% | 48 | 4 | 4 | 0 | 0 | 0.40 | 0 | 0 | ||
15 | Matt Grzelcyk | 0 | D | 21 | 0 | 3 | 3 | 4 | 0 | 0 | 20 | 13 | 6 | 4 | 0.00% | 12 | 14.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 3 | 16 | 0 | 0 | 0.20 | 0 | 0 | ||
16 | James van Riemsdyk | 0 | LW/RW | 21 | 0 | 3 | 3 | -5 | 4 | 0 | 24 | 35 | 6 | 20 | 0.00% | 9 | 13.50 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 0 | 0 | 28.57% | 14 | 4 | 3 | 0 | 0 | 0.21 | 0 | 0 | ||
17 | Oskar Sundqvist | 0 | C/RW | 21 | 0 | 3 | 3 | -3 | 4 | 0 | 21 | 18 | 10 | 11 | 0.00% | 5 | 10.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 43.59% | 78 | 3 | 10 | 0 | 0 | 0.28 | 0 | 0 | ||
18 | Adam Boqvist | 0 | D | 21 | 1 | 1 | 2 | 4 | 0 | 0 | 9 | 21 | 10 | 3 | 4.76% | 15 | 15.94 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 6 | 12 | 0 | 0 | 0.12 | 0 | 0 | ||
19 | Zach Sanford | 0 | LW/RW | 10 | 1 | 0 | 1 | -3 | 0 | 0 | 16 | 6 | 8 | 1 | 16.67% | 2 | 8.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 4 | 1 | 1 | 0 | 0 | 0.24 | 0 | 0 | ||
20 | Rem Pitlick | 0 | C/LW | 21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 399 | 68 | 113 | 181 | 44 | 43 | 5 | 467 | 699 | 240 | 379 | 9.73% | 220 | 15.85 | 5 | 9 | 14 | 256 | 1 | 1 | 2 | 154 | 16 | 5 | 47.32% | 1344 | 163 | 193 | 1 | 2 | 0.57 | 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 | Tristan Jarry | 21 | 16 | 4 | 0 | 0.922 | 2.61 | 1174 | 6 | 1 | 51 | 652 | 256 | 0 | 1 | 0.000 | 0 | 21 | 0 | 6 | 2 | 0 | |
2 | James Reimer | 2 | 0 | 0 | 1 | 0.905 | 2.50 | 96 | 0 | 0 | 4 | 42 | 14 | 0 | 0 | 0.000 | 0 | 0 | 21 | 0 | 0 | 0 | |
Team Total or Average | 23 | 16 | 4 | 1 | 0.921 | 2.60 | 1270 | 6 | 1 | 55 | 694 | 270 | 0 | 1 | 0.000 | 0 | 21 | 21 | 6 | 2 | 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 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 8 | 5 | 8 | 1.000 | 13 | 23 | 36 | 0 | 0 | 6 | 4 | 2 | 1 | 123 | 35 | 41 | 46 | 1 | 138 | 43 | 8 | 94 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 244 | 511 | 47.75% | 234 | 506 | 46.25% | 158 | 327 | 48.32% | 86 | 52 | 87 | 34 | 66 | 32 | 57.9% | 10.6% | 94.2% | 104.8 | LUCKY | |
2 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 20 | 22 | -2 | 8 | 0.571 | 20 | 31 | 51 | 0 | 0 | 3 | 10 | 5 | 2 | 226 | 65 | 85 | 67 | 9 | 213 | 70 | 12 | 163 | 15 | 1 | 6.67% | 6 | 2 | 66.67% | 0 | 244 | 511 | 47.75% | 234 | 506 | 46.25% | 158 | 327 | 48.32% | 159 | 96 | 149 | 60 | 120 | 61 | 48.7% | 8.8% | 89.7% | 98.5 | Unlucky | |
3 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 12 | 6 | 8 | 1.000 | 18 | 33 | 51 | 0 | 0 | 3 | 7 | 8 | 0 | 138 | 44 | 49 | 45 | 0 | 146 | 44 | 13 | 85 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 244 | 511 | 47.75% | 234 | 506 | 46.25% | 158 | 327 | 48.32% | 85 | 53 | 90 | 34 | 64 | 30 | 58.6% | 13.0% | 91.8% | 104.8 | LUCKY | |
4 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 14 | 3 | 8 | 0.667 | 17 | 26 | 43 | 1 | 1 | 8 | 5 | 3 | 1 | 212 | 74 | 72 | 59 | 7 | 198 | 63 | 16 | 125 | 3 | 1 | 33.33% | 8 | 0 | 100.00% | 1 | 244 | 511 | 47.75% | 234 | 506 | 46.25% | 158 | 327 | 48.32% | 132 | 83 | 132 | 47 | 97 | 48 | 53.3% | 8.0% | 92.9% | 100.9 | DULL | |
_Vs Division | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 8 | 5 | 8 | 1.000 | 13 | 23 | 36 | 0 | 0 | 6 | 4 | 2 | 1 | 123 | 35 | 41 | 46 | 1 | 138 | 43 | 8 | 94 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 244 | 511 | 47.75% | 234 | 506 | 46.25% | 158 | 327 | 48.32% | 86 | 52 | 87 | 34 | 66 | 32 | 57.9% | 10.6% | 94.2% | 104.8 | LUCKY | |
_Vs Conference | 15 | 12 | 3 | 0 | 0 | 0 | 0 | 0 | 51 | 42 | 9 | 24 | 0.800 | 51 | 87 | 138 | 0 | 0 | 12 | 21 | 15 | 3 | 487 | 144 | 175 | 158 | 10 | 497 | 157 | 33 | 342 | 26 | 4 | 15.38% | 14 | 2 | 85.71% | 0 | 244 | 511 | 47.75% | 234 | 506 | 46.25% | 158 | 327 | 48.32% | 331 | 202 | 326 | 129 | 252 | 125 | 54.0% | 10.5% | 91.5% | 102.0 | LUCKY | |
_Since Last GM Reset | 21 | 16 | 5 | 0 | 0 | 0 | 0 | 0 | 68 | 56 | 12 | 32 | 0.762 | 68 | 113 | 181 | 1 | 1 | 20 | 26 | 18 | 4 | 699 | 218 | 247 | 217 | 17 | 695 | 220 | 49 | 467 | 29 | 5 | 17.24% | 22 | 2 | 90.91% | 1 | 244 | 511 | 47.75% | 234 | 506 | 46.25% | 158 | 327 | 48.32% | 463 | 285 | 459 | 177 | 349 | 173 | 53.8% | 9.7% | 91.9% | 101.7 | LUCKY | |
Total | 21 | 16 | 5 | 0 | 0 | 0 | 0 | 0 | 68 | 56 | 12 | 32 | 0.762 | 68 | 113 | 181 | 1 | 1 | 20 | 26 | 18 | 4 | 699 | 218 | 247 | 217 | 17 | 695 | 220 | 49 | 467 | 29 | 5 | 17.24% | 22 | 2 | 90.91% | 1 | 244 | 511 | 47.75% | 234 | 506 | 46.25% | 158 | 327 | 48.32% | 463 | 285 | 459 | 177 | 349 | 173 | 53.8% | 9.7% | 91.9% | 101.7 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 511 |
Neutral Zone Start | 327 |
Defensive Zone Start | 506 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 636 |
Faceoffs Lost | 708 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.4 | 9.57 |
2nd Period | 22.1 | 20.31 |
3rd Period | 32.5 | 30.68 |
Overtime | 33.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 61 |
---|---|
PP Goal | 5 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 8 | 8 |
Lost | 3 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 29 |
---|---|
PP Goal | 5 |
PK Attempt | 22 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 33.3 |
Shots Against | 33.1 |
Goals For | 3.2 |
Goals Against | 2.7 |
Hits | 22.2 |
Shots Blocked | 10.5 |
Pim | 2.3 |
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 | 22 |
LTIR Players | 0 |
Stars Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Boqvist ![]() | D | 22 | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | RFA | ||||
Alex Tuch | LW/RW | 26 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||
Brandon Montour | D | 29 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Chandler Stephenson ![]() | C/LW | 29 | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||||
Conor Sheary ![]() | LW/RW | 30 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Darren Helm | C/LW/RW | 36 | 1,250,000$ | 1,250,000$ | UFA | ||||||
David Perron | LW/RW | 34 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||||
Erik Cernak ![]() | D | 25 | 2,950,000$ | 2,950,000$ | RFA | ||||||
Evgeny Kuznetsov | C | 30 | 7,800,000$ | 7,800,000$ | 7,800,000$ | 7,800,000$ | UFA | ||||
Filip Forsberg | LW | 28 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |
Jaccob Slavin | D | 28 | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | UFA | ||||
Jakub Vrana | LW | 27 | 5,250,000$ | 5,250,000$ | 5,250,000$ | ||||||
James Reimer ![]() | G | 35 | 750,000$ | 750,000$ | UFA | ||||||
James van Riemsdyk | LW/RW | 33 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Mark Scheifele | C | 30 | 6,125,000$ | 6,125,000$ | 6,125,000$ | UFA | |||||
Matt Grzelcyk ![]() | D | 29 | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | |||||
Morgan Rielly | D | 29 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ |
Oskar Sundqvist ![]() | C/RW | 29 | 2,700,000$ | 2,700,000$ | |||||||
Pavel Buchnevich | LW/RW | 28 | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | UFA | ||||
Rem Pitlick ![]() | C/LW | 26 | 750,000$ | 900,000$ | RFA | ||||||
Tristan Jarry | G | 27 | 2,100,000$ | 2,500,000$ | 2,500,000$ | ||||||
Zach Sanford ![]() | LW/RW | 28 | 750,000$ | 750,000$ |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Chris Wideman ![]() | D | 33 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Dylan Gambrell ![]() | C | 26 | 950,000$ | 950,000$ | RFA | ||||||
Thomas Greiss ![]() | G | 37 | 1,000,000$ | 1,000,000$ | UFA |
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 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 8 | 5 | 8 | 1.000 | 13 | 23 | 36 | 0 | 0 | 6 | 4 | 2 | 1 | 123 | 35 | 41 | 46 | 1 | 138 | 43 | 8 | 94 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 244 | 511 | 47.75% | 234 | 506 | 46.25% | 158 | 327 | 48.32% | 86 | 52 | 87 | 34 | 66 | 32 | 57.9% | 10.6% | 94.2% | 104.8 | LUCKY | |
2 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 20 | 22 | -2 | 8 | 0.571 | 20 | 31 | 51 | 0 | 0 | 3 | 10 | 5 | 2 | 226 | 65 | 85 | 67 | 9 | 213 | 70 | 12 | 163 | 15 | 1 | 6.67% | 6 | 2 | 66.67% | 0 | 244 | 511 | 47.75% | 234 | 506 | 46.25% | 158 | 327 | 48.32% | 159 | 96 | 149 | 60 | 120 | 61 | 48.7% | 8.8% | 89.7% | 98.5 | Unlucky | |
3 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 12 | 6 | 8 | 1.000 | 18 | 33 | 51 | 0 | 0 | 3 | 7 | 8 | 0 | 138 | 44 | 49 | 45 | 0 | 146 | 44 | 13 | 85 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 244 | 511 | 47.75% | 234 | 506 | 46.25% | 158 | 327 | 48.32% | 85 | 53 | 90 | 34 | 64 | 30 | 58.6% | 13.0% | 91.8% | 104.8 | LUCKY | |
4 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 14 | 3 | 8 | 0.667 | 17 | 26 | 43 | 1 | 1 | 8 | 5 | 3 | 1 | 212 | 74 | 72 | 59 | 7 | 198 | 63 | 16 | 125 | 3 | 1 | 33.33% | 8 | 0 | 100.00% | 1 | 244 | 511 | 47.75% | 234 | 506 | 46.25% | 158 | 327 | 48.32% | 132 | 83 | 132 | 47 | 97 | 48 | 53.3% | 8.0% | 92.9% | 100.9 | DULL | |
_Vs Division | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 8 | 5 | 8 | 1.000 | 13 | 23 | 36 | 0 | 0 | 6 | 4 | 2 | 1 | 123 | 35 | 41 | 46 | 1 | 138 | 43 | 8 | 94 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 244 | 511 | 47.75% | 234 | 506 | 46.25% | 158 | 327 | 48.32% | 86 | 52 | 87 | 34 | 66 | 32 | 57.9% | 10.6% | 94.2% | 104.8 | LUCKY | |
_Vs Conference | 15 | 12 | 3 | 0 | 0 | 0 | 0 | 0 | 51 | 42 | 9 | 24 | 0.800 | 51 | 87 | 138 | 0 | 0 | 12 | 21 | 15 | 3 | 487 | 144 | 175 | 158 | 10 | 497 | 157 | 33 | 342 | 26 | 4 | 15.38% | 14 | 2 | 85.71% | 0 | 244 | 511 | 47.75% | 234 | 506 | 46.25% | 158 | 327 | 48.32% | 331 | 202 | 326 | 129 | 252 | 125 | 54.0% | 10.5% | 91.5% | 102.0 | LUCKY | |
_Since Last GM Reset | 21 | 16 | 5 | 0 | 0 | 0 | 0 | 0 | 68 | 56 | 12 | 32 | 0.762 | 68 | 113 | 181 | 1 | 1 | 20 | 26 | 18 | 4 | 699 | 218 | 247 | 217 | 17 | 695 | 220 | 49 | 467 | 29 | 5 | 17.24% | 22 | 2 | 90.91% | 1 | 244 | 511 | 47.75% | 234 | 506 | 46.25% | 158 | 327 | 48.32% | 463 | 285 | 459 | 177 | 349 | 173 | 53.8% | 9.7% | 91.9% | 101.7 | LUCKY | |
Total | 21 | 16 | 5 | 0 | 0 | 0 | 0 | 0 | 68 | 56 | 12 | 32 | 0.762 | 68 | 113 | 181 | 1 | 1 | 20 | 26 | 18 | 4 | 699 | 218 | 247 | 217 | 17 | 695 | 220 | 49 | 467 | 29 | 5 | 17.24% | 22 | 2 | 90.91% | 1 | 244 | 511 | 47.75% | 234 | 506 | 46.25% | 158 | 327 | 48.32% | 463 | 285 | 459 | 177 | 349 | 173 | 53.8% | 9.7% | 91.9% | 101.7 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
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Offensive Zone Start | 511 |
Neutral Zone Start | 327 |
Defensive Zone Start | 506 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 636 |
Faceoffs Lost | 708 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.4 | 9.57 |
2nd Period | 22.1 | 20.31 |
3rd Period | 32.5 | 30.68 |
Overtime | 33.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 61 |
---|---|
PP Goal | 5 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 8 | 8 |
Lost | 3 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 29 |
---|---|
PP Goal | 5 |
PK Attempt | 22 |
PK Goal Against | 2 |
Home | |
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Shots For | 33.3 |
Shots Against | 33.1 |
Goals For | 3.2 |
Goals Against | 2.7 |
Hits | 22.2 |
Shots Blocked | 10.5 |
Pim | 2.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-04-08 | VS | NSH3,DAL4 (OT) | RECAP | |||||||||||
2023-04-10 | VS | NSH2,DAL3 | RECAP | |||||||||||
2023-04-12 | VS | DAL3,NSH1 | RECAP | |||||||||||
2023-04-14 | VS | DAL3,NSH2 | 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 | |||||||||||
2023-05-06 | VS | DAL5,EDM3 | RECAP | |||||||||||
2023-05-08 | VS | DAL3,EDM2 | RECAP | |||||||||||
2023-05-10 | VS | EDM5,DAL6 | RECAP | |||||||||||
2023-05-12 | VS | EDM2,DAL4 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-05-19 | VS | NYR0,DAL1 | RECAP | |||||||||||
2023-05-20 | VS | NYR1,DAL4 | RECAP | |||||||||||
2023-05-21 | VS | DAL3,NYR2 | RECAP | |||||||||||
2023-05-22 | VS | DAL3,NYR4 | RECAP | |||||||||||
2023-05-23 | VS | NYR4,DAL2 | RECAP | |||||||||||
2023-05-24 | VS | DAL4,NYR3 (OT) | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
83,125,000$ | 0$ | 0$ | 85,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | American Airlines Center | |
City | Dallas | ||
Capacity | 18532 | ||
Season Ticket Holders | 70% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2532 | 4000 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 65686 | 54872 | 27590 | 43401 | 11000 |
Attendance PCT | 99.52% | 99.77% | 99.06% | 98.64% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
30 | 18414 - 99.36% | 2,288,324$ | 25,171,562$ | 18532 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
83,125,000$ | 82,575,000$ | 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$ | 127,257,728$ | 127,257,728$ |
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 |
---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Adam Sýkora | |||||
Anton Johannesson | |||||
Dmitri Buchelnikov | |||||
Dmitri Kostenko | |||||
Isaaiah George | |||||
Kirill Dolzhenkov | |||||
Kirill Kudryavtsev | |||||
Michael Buchinger | |||||
Noel Gunler | |||||
Rieger Lorenz | |||||
Tyler Brennan | |||||
Veeti Miettinen | |||||
Vladimir Grudinin |
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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Adam Sýkora | |||||
Anton Johannesson | |||||
Dmitri Buchelnikov | |||||
Dmitri Kostenko | |||||
Isaaiah George | |||||
Kirill Dolzhenkov | |||||
Kirill Kudryavtsev | |||||
Michael Buchinger | |||||
Noel Gunler | |||||
Rieger Lorenz | |||||
Tyler Brennan | |||||
Veeti Miettinen | |||||
Vladimir Grudinin |
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