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Dallas Stars 5-6-4, 14pts · 11th 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 | C/RW | 100.00 | 73 | 40 | 88 | 75 | 74 | 82 | 80 | 70 | 55 | 68 | 62 | 70 | 69 | 70 | 60 | 1 | 76 | 0 | 30 | 1,175,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 80 | 55 | 74 | 78 | 73 | 83 | 90 | 78 | 62 | 76 | 68 | 74 | 75 | 85 | 75 | 1 | 78 | 0 | 31 | 1,500,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 74 | 45 | 92 | 89 | 75 | 86 | 78 | 85 | 50 | 78 | 74 | 73 | 83 | 58 | 50 | 1 | 81 | 0 | 21 | 900,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 77 | 51 | 70 | 75 | 77 | 86 | 94 | 88 | 50 | 80 | 80 | 69 | 81 | 91 | 81 | 1 | 68 | 0 | 35 | 5,500,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 68 | 50 | 73 | 72 | 83 | 85 | 86 | 74 | 84 | 73 | 65 | 73 | 70 | 86 | 76 | 1 | 79 | 0 | 33 | 750,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 61 | 40 | 80 | 75 | 76 | 84 | 77 | 74 | 40 | 65 | 71 | 64 | 73 | 78 | 68 | 1 | 80 | 0 | 27 | 5,250,000$/1yrs | |||
![]() | 0 | C | 100.00 | 71 | 51 | 69 | 74 | 81 | 88 | 90 | 86 | 72 | 84 | 72 | 72 | 77 | 85 | 75 | 1 | 75 | 0 | 31 | 7,800,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 78 | 56 | 63 | 75 | 86 | 86 | 87 | 84 | 50 | 71 | 79 | 73 | 79 | 83 | 73 | 1 | 77 | 0 | 29 | 5,500,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 88 | 55 | 69 | 78 | 71 | 79 | 86 | 73 | 40 | 66 | 66 | 74 | 72 | 80 | 70 | 1 | 71 | 0 | 31 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 74 | 56 | 69 | 91 | 83 | 89 | 87 | 91 | 50 | 78 | 92 | 76 | 91 | 78 | 68 | 1 | 69 | 0 | 27 | 5,500,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 72 | 45 | 86 | 84 | 86 | 89 | 87 | 92 | 53 | 84 | 90 | 78 | 89 | 78 | 68 | 1 | 65 | 0 | 27 | 4,750,000$/3yrs | |||
![]() | 0 | D | 100.00 | 63 | 58 | 57 | 74 | 72 | 82 | 83 | 69 | 40 | 66 | 60 | 67 | 68 | 80 | 70 | 1 | 69 | 0 | 33 | 1,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 50 | 78 | 81 | 71 | 87 | 87 | 80 | 40 | 77 | 66 | 78 | 76 | 78 | 68 | 1 | 73 | 0 | 29 | 2,700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 50 | 73 | 85 | 76 | 90 | 86 | 81 | 40 | 75 | 70 | 84 | 79 | 75 | 65 | 1 | 79 | 0 | 27 | 3,000,000$/8yrs | |||
![]() | 0 | D | 100.00 | 71 | 60 | 60 | 86 | 77 | 91 | 87 | 93 | 40 | 89 | 81 | 78 | 87 | 78 | 68 | 1 | 75 | 0 | 29 | 4,000,000$/2yrs | |||
![]() | 0 | D | 99.00 | 69 | 40 | 94 | 85 | 83 | 90 | 88 | 83 | 40 | 77 | 70 | 95 | 79 | 80 | 76 | 1 | 76 | 0 | 29 | 5,300,000$/2yrs | |||
![]() | 0 | D | 100.00 | 80 | 56 | 70 | 75 | 90 | 88 | 85 | 76 | 40 | 74 | 63 | 91 | 71 | 70 | 60 | 1 | 79 | 0 | 26 | 5,200,000$/8yrs | |||
![]() | 0 | D | 100.00 | 81 | 76 | 64 | 75 | 83 | 85 | 83 | 75 | 40 | 69 | 65 | 77 | 72 | 70 | 60 | 1 | 80 | 0 | 26 | 2,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 69 | 55 | 69 | 79 | 84 | 88 | 81 | 82 | 40 | 69 | 73 | 86 | 78 | 65 | 55 | 1 | 72 | 0 | 27 | 2,700,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 98.73 | 70 | 45 | 88 | 89 | 83 | 91 | 89 | 91 | 87 | 80 | 91 | 81 | 90 | 83 | 73 | 1 | 69 | 0 | 28 | 8,500,000$/8yrs | |||
![]() | 0 | LW | 100.00 | 87 | 84 | 56 | 72 | 83 | 83 | 87 | 70 | 50 | 68 | 63 | 71 | 68 | 83 | 73 | 1 | 73 | 0 | 29 | 750,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 65 | 45 | 77 | 75 | 76 | 82 | 80 | 71 | 50 | 69 | 66 | 65 | 71 | 70 | 60 | 1 | 74 | 0 | 26 | 1,100,000$/1yrs | |||
TEAM AVERAGE | 99.86 | 73 | 53 | 74 | 79 | 79 | 86 | 85 | 80 | 51 | 74 | 72 | 76 | 77 | 77 | 68 | 1 | 74 | 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 | 84 | 86 | 86 | 81 | 86 | 82 | 78 | 80 | 81 | 85 | 82 | 83 | 76 | 1 | 74 | 0 | 31 | 2,500,000$/2yrs |
![]() | 0 | 100.00 | 92 | 89 | 91 | 80 | 92 | 89 | 88 | 88 | 88 | 92 | 85 | 78 | 71 | 1 | 78 | 0 | 28 | 2,500,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 88 | 88 | 89 | 81 | 89 | 86 | 83 | 84 | 85 | 89 | 84 | 81 | 74 | 1 | 76 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jay Woodcroft | 86 | 85 | 95 | 79 | 65 | 70 | 1 | CAN | 46 | 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 | Evgeny Kuznetsov | 0 | C | 15 | 4 | 10 | 14 | -1 | 16 | 10 | 21 | 46 | 10 | 23 | 8.70% | 7 | 19.66 | 1 | 3 | 4 | 26 | 0 | 0 | 0 | 16 | 0 | 0 | 54.32% | 278 | 3 | 5 | 0 | 0 | 0.95 | 0 | 2 | ||
2 | Alex Tuch | 0 | LW/RW | 15 | 6 | 6 | 12 | -2 | 0 | 0 | 23 | 46 | 10 | 26 | 13.04% | 7 | 20.46 | 2 | 1 | 3 | 29 | 0 | 0 | 0 | 20 | 0 | 0 | 40.00% | 25 | 6 | 6 | 0 | 0 | 0.78 | 0 | 1 | ||
3 | Seth Jarvis | 0 | RW | 15 | 4 | 7 | 11 | 0 | 0 | 0 | 15 | 54 | 14 | 11 | 7.41% | 8 | 16.60 | 1 | 3 | 4 | 19 | 0 | 0 | 0 | 17 | 0 | 0 | 37.50% | 8 | 11 | 2 | 0 | 0 | 0.88 | 0 | 0 | ||
4 | Bo Horvat | 0 | C | 14 | 3 | 8 | 11 | -2 | 4 | 0 | 17 | 42 | 12 | 27 | 7.14% | 3 | 20.25 | 0 | 2 | 2 | 20 | 0 | 0 | 0 | 22 | 1 | 0 | 53.93% | 382 | 5 | 3 | 0 | 0 | 0.78 | 0 | 2 | ||
5 | Adrian Kempe | 0 | LW/RW | 15 | 6 | 4 | 10 | -3 | 43 | 5 | 27 | 37 | 13 | 27 | 16.22% | 6 | 19.01 | 2 | 1 | 3 | 29 | 0 | 0 | 0 | 4 | 2 | 0 | 41.67% | 36 | 12 | 5 | 0 | 0 | 0.70 | 0 | 2 | ||
6 | David Perron | 0 | LW/RW | 13 | 4 | 5 | 9 | -2 | 6 | 0 | 18 | 31 | 6 | 19 | 12.90% | 3 | 16.82 | 1 | 0 | 1 | 16 | 0 | 0 | 0 | 7 | 0 | 0 | 37.50% | 8 | 9 | 2 | 0 | 0 | 0.82 | 0 | 0 | ||
7 | Josh Anderson | 0 | LW/RW | 15 | 4 | 4 | 8 | -2 | 7 | 5 | 22 | 21 | 10 | 26 | 19.05% | 3 | 15.06 | 1 | 2 | 3 | 16 | 0 | 0 | 0 | 0 | 1 | 0 | 35.71% | 14 | 4 | 4 | 0 | 0 | 0.71 | 0 | 0 | ||
8 | Brandon Montour | 0 | D | 15 | 2 | 6 | 8 | -5 | 19 | 5 | 26 | 20 | 17 | 8 | 10.00% | 20 | 24.17 | 1 | 1 | 2 | 32 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 10 | 20 | 0 | 0 | 0.44 | 0 | 0 | ||
9 | Jaccob Slavin | 0 | D | 15 | 1 | 7 | 8 | -3 | 0 | 0 | 9 | 24 | 14 | 8 | 4.17% | 24 | 25.21 | 0 | 3 | 3 | 32 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 8 | 18 | 0 | 0 | 0.42 | 0 | 0 | ||
10 | Travis Sanheim | 0 | D | 15 | 2 | 4 | 6 | -2 | 4 | 0 | 17 | 26 | 7 | 7 | 7.69% | 13 | 20.30 | 0 | 0 | 0 | 24 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 7 | 17 | 0 | 0 | 0.39 | 0 | 0 | ||
11 | Vladislav Namestnikov | 0 | C/LW/RW | 15 | 1 | 2 | 3 | 0 | 0 | 0 | 22 | 27 | 9 | 22 | 3.70% | 8 | 14.90 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 16 | 0 | 0 | 40.71% | 113 | 3 | 4 | 0 | 0 | 0.27 | 0 | 0 | ||
12 | Rem Pitlick | 0 | C/LW/RW | 10 | 1 | 2 | 3 | 0 | 0 | 0 | 2 | 13 | 5 | 5 | 7.69% | 1 | 6.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 59.09% | 22 | 2 | 0 | 0 | 0 | 0.87 | 0 | 0 | ||
13 | Erik Cernak | 0 | D | 15 | 1 | 2 | 3 | 0 | 6 | 0 | 23 | 12 | 3 | 2 | 8.33% | 22 | 18.94 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 24 | 1 | 0 | 0.00% | 0 | 2 | 13 | 0 | 0 | 0.21 | 0 | 0 | ||
14 | Derek Grant | 0 | C/LW | 6 | 0 | 2 | 2 | 1 | 0 | 0 | 2 | 6 | 3 | 5 | 0.00% | 1 | 9.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38.24% | 34 | 1 | 1 | 0 | 0 | 0.73 | 0 | 0 | ||
15 | Jakub Vrana | 0 | LW | 15 | 1 | 1 | 2 | -3 | 2 | 0 | 5 | 6 | 2 | 2 | 16.67% | 1 | 8.51 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
16 | Josh Archibald | 0 | LW/RW | 8 | 1 | 1 | 2 | 2 | 9 | 5 | 18 | 9 | 2 | 3 | 11.11% | 3 | 9.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 100.00% | 3 | 2 | 3 | 0 | 0 | 0.50 | 0 | 0 | ||
17 | Jeremy Lauzon | 0 | D | 15 | 0 | 2 | 2 | -3 | 7 | 5 | 21 | 7 | 3 | 3 | 0.00% | 2 | 12.22 | 0 | 2 | 2 | 15 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 2 | 2 | 0 | 0 | 0.22 | 0 | 0 | ||
18 | Colin Blackwell | 0 | C/RW | 15 | 0 | 1 | 1 | 0 | 0 | 0 | 13 | 18 | 2 | 10 | 0.00% | 1 | 10.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 45.00% | 20 | 3 | 4 | 0 | 0 | 0.13 | 0 | 0 | ||
19 | Matt Grzelcyk | 0 | D | 15 | 0 | 1 | 1 | 3 | 0 | 0 | 1 | 6 | 4 | 1 | 0.00% | 1 | 5.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.26 | 0 | 0 | ||
20 | Liam O'Brien | 0 | LW | 11 | 1 | 0 | 1 | -1 | 0 | 0 | 13 | 8 | 3 | 1 | 12.50% | 3 | 7.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 2 | 0 | 1 | 0 | 0 | 0.24 | 0 | 0 | ||
21 | Jake Walman | 0 | D | 15 | 0 | 1 | 1 | 2 | 2 | 0 | 10 | 10 | 5 | 2 | 0.00% | 13 | 13.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 3 | 10 | 0 | 0 | 0.10 | 0 | 0 | ||
22 | Chris Wideman | 0 | D | 13 | 0 | 0 | 0 | -1 | 5 | 5 | 1 | 0 | 0 | 0 | 0.00% | 0 | 1.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 300 | 42 | 76 | 118 | -22 | 130 | 40 | 326 | 469 | 154 | 238 | 8.96% | 150 | 14.90 | 9 | 18 | 27 | 282 | 0 | 0 | 0 | 241 | 5 | 0 | 50.63% | 948 | 93 | 123 | 0 | 0 | 0.53 | 0 | 7 |
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 | 11 | 3 | 5 | 3 | 0.904 | 3.07 | 665 | 0 | 0 | 34 | 353 | 152 | 2 | 1 | 0.500 | 4 | 11 | 4 | 1 | 0 | 0 | |
2 | Anton Forsberg | 4 | 2 | 1 | 1 | 0.938 | 1.96 | 245 | 2 | 0 | 8 | 129 | 69 | 0 | 0 | 0.667 | 3 | 4 | 11 | 1 | 0 | 0 | |
Team Total or Average | 15 | 5 | 6 | 4 | 0.913 | 2.77 | 910 | 2 | 0 | 42 | 482 | 221 | 2 | 1 | 0.571 | 7 | 15 | 15 | 2 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 2 | 3 | 1 | 0 | 77 | 29 | 27 | 21 | 0 | 93 | 33 | 36 | 66 | 2 | 0 | 0.00% | 13 | 3 | 76.92% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 59 | 32 | 69 | 27 | 51 | 25 | 42.9% | 7.8% | 88.2% | 96.0 | Unlucky | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 38 | 8 | 15 | 15 | 0 | 35 | 9 | 0 | 22 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 25 | 16 | 20 | 7 | 14 | 7 | 66.7% | 5.3% | 97.1% | 102.4 | DULL | |
3 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 6 | 12 | -6 | 1 | 0.167 | 6 | 11 | 17 | 0 | 0 | 1 | 4 | 1 | 0 | 94 | 23 | 41 | 25 | 8 | 105 | 31 | 30 | 58 | 6 | 1 | 16.67% | 10 | 1 | 90.00% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 61 | 37 | 73 | 27 | 49 | 23 | 31.3% | 6.4% | 88.6% | 95.0 | Unlucky | |
4 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 7 | 2 | 3 | 0.750 | 9 | 16 | 25 | 0 | 0 | 5 | 3 | 1 | 0 | 70 | 24 | 24 | 21 | 5 | 81 | 16 | 12 | 53 | 4 | 4 | 100.00% | 1 | 0 | 100.00% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 45 | 29 | 45 | 16 | 33 | 16 | 41.7% | 12.9% | 91.4% | 104.2 | LUCKY | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 0 | 3 | 0 | 37 | 11 | 11 | 15 | 0 | 21 | 15 | 0 | 24 | 6 | 1 | 16.67% | 0 | 0 | 0.00% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 25 | 15 | 18 | 7 | 15 | 9 | 57.1% | 13.5% | 85.7% | 99.2 | FUN | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 5 | 1 | 3 | 0 | 61 | 23 | 19 | 19 | 0 | 50 | 15 | 38 | 36 | 11 | 3 | 27.27% | 4 | 0 | 100.00% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 45 | 26 | 41 | 17 | 33 | 16 | 66.7% | 14.8% | 94.0% | 108.8 | LUCKY | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 0 | 0 | 2 | 0 | 29 | 6 | 16 | 7 | 0 | 29 | 8 | 8 | 21 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 20 | 11 | 24 | 8 | 15 | 6 | 50.0% | 6.9% | 89.7% | 96.6 | Unlucky | |
8 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 63 | 24 | 20 | 18 | 1 | 69 | 23 | 8 | 46 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 41 | 24 | 48 | 16 | 31 | 15 | 37.5% | 4.8% | 92.8% | 97.5 | DULL | |
_Vs Division | 9 | 2 | 6 | 0 | 0 | 0 | 0 | 1 | 23 | 29 | -6 | 5 | 0.278 | 23 | 42 | 65 | 1 | 0 | 8 | 8 | 7 | 0 | 261 | 81 | 103 | 72 | 8 | 277 | 87 | 112 | 181 | 20 | 4 | 20.00% | 31 | 5 | 83.87% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 186 | 108 | 208 | 81 | 149 | 72 | 44.2% | 8.8% | 89.5% | 98.3 | Unlucky | |
_Vs Conference | 12 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 37 | 39 | -2 | 10 | 0.417 | 37 | 67 | 104 | 1 | 0 | 15 | 11 | 11 | 0 | 368 | 116 | 138 | 108 | 13 | 379 | 118 | 124 | 258 | 30 | 9 | 30.00% | 32 | 5 | 84.38% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 258 | 154 | 272 | 105 | 199 | 98 | 45.2% | 10.1% | 89.7% | 99.8 | FUN | |
_Since Last GM Reset | 15 | 5 | 6 | 0 | 0 | 2 | 0 | 2 | 42 | 45 | -3 | 14 | 0.467 | 42 | 76 | 118 | 1 | 0 | 16 | 12 | 14 | 0 | 469 | 148 | 173 | 141 | 14 | 483 | 150 | 132 | 326 | 36 | 9 | 25.00% | 36 | 5 | 86.11% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 325 | 195 | 340 | 128 | 244 | 121 | 45.2% | 9.0% | 90.7% | 99.6 | FUN | |
Total | 15 | 5 | 6 | 0 | 0 | 2 | 0 | 2 | 42 | 45 | -3 | 14 | 0.467 | 42 | 76 | 118 | 1 | 0 | 16 | 12 | 14 | 0 | 469 | 148 | 173 | 141 | 14 | 483 | 150 | 132 | 326 | 36 | 9 | 25.00% | 36 | 5 | 86.11% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 325 | 195 | 340 | 128 | 244 | 121 | 45.2% | 9.0% | 90.7% | 99.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 16 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 358 |
Neutral Zone Start | 210 |
Defensive Zone Start | 364 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 480 |
Faceoffs Lost | 452 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 21.4 | 20.31 |
3rd Period | 30.8 | 30.68 |
Overtime | 31.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 32 |
---|---|
PP Goal | 9 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 4 | 1 |
Lost | 1 | 5 |
Overtime Lost | 2 | 2 |
PP Attempt | 36 |
---|---|
PP Goal | 9 |
PK Attempt | 36 |
PK Goal Against | 5 |
Home | |
---|---|
Shots For | 31.3 |
Shots Against | 32.2 |
Goals For | 2.8 |
Goals Against | 3.0 |
Hits | 21.7 |
Shots Blocked | 10.0 |
Pim | 8.8 |
Projected Total Cap Hit | 81,125,000$ |
Projected Cap Space | 3,875,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 15,347,500$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Stars Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Kempe | LW/RW | 27 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | |||||
Alex Tuch | LW/RW | 27 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | |||||
Anton Forsberg ![]() | G | 31 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Bo Horvat | C | 28 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ |
Brandon Montour | D | 29 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Chris Wideman ![]() | D | 33 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Colin Blackwell ![]() | C/RW | 30 | 1,175,000$ | 1,175,000$ | UFA | ||||||
David Perron | LW/RW | 35 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Derek Grant | C/LW | 33 | 750,000$ | 750,000$ | UFA | ||||||
Erik Cernak ![]() | D | 26 | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ |
Evgeny Kuznetsov | C | 31 | 7,800,000$ | 7,800,000$ | 7,800,000$ | UFA | |||||
Jaccob Slavin | D | 29 | 5,300,000$ | 5,300,000$ | 5,300,000$ | UFA | |||||
Jake Walman ![]() | D | 27 | 2,700,000$ | 2,700,000$ | 2,700,000$ | 2,700,000$ | |||||
Jakub Vrana | LW | 27 | 5,250,000$ | 5,250,000$ | |||||||
Jeremy Lauzon ![]() | D | 26 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | |||||
Josh Anderson | LW/RW | 29 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||
Josh Archibald ![]() | LW/RW | 31 | 750,000$ | 750,000$ | UFA | ||||||
Liam O'Brien ![]() | LW | 29 | 750,000$ | 750,000$ | |||||||
Matt Grzelcyk ![]() | D | 29 | 2,700,000$ | 2,700,000$ | |||||||
Rem Pitlick ![]() | C/LW/RW | 26 | 1,100,000$ | 1,100,000$ | RFA | ||||||
Seth Jarvis ![]() | RW | 21 | 900,000$ | 900,000$ | RFA | ||||||
Travis Sanheim | D | 27 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ |
Tristan Jarry | G | 28 | 2,500,000$ | 2,500,000$ | |||||||
Vladislav Namestnikov | C/LW/RW | 31 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
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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 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 2 | 3 | 1 | 0 | 77 | 29 | 27 | 21 | 0 | 93 | 33 | 36 | 66 | 2 | 0 | 0.00% | 13 | 3 | 76.92% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 59 | 32 | 69 | 27 | 51 | 25 | 42.9% | 7.8% | 88.2% | 96.0 | Unlucky | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 38 | 8 | 15 | 15 | 0 | 35 | 9 | 0 | 22 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 25 | 16 | 20 | 7 | 14 | 7 | 66.7% | 5.3% | 97.1% | 102.4 | DULL | |
3 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 6 | 12 | -6 | 1 | 0.167 | 6 | 11 | 17 | 0 | 0 | 1 | 4 | 1 | 0 | 94 | 23 | 41 | 25 | 8 | 105 | 31 | 30 | 58 | 6 | 1 | 16.67% | 10 | 1 | 90.00% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 61 | 37 | 73 | 27 | 49 | 23 | 31.3% | 6.4% | 88.6% | 95.0 | Unlucky | |
4 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 7 | 2 | 3 | 0.750 | 9 | 16 | 25 | 0 | 0 | 5 | 3 | 1 | 0 | 70 | 24 | 24 | 21 | 5 | 81 | 16 | 12 | 53 | 4 | 4 | 100.00% | 1 | 0 | 100.00% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 45 | 29 | 45 | 16 | 33 | 16 | 41.7% | 12.9% | 91.4% | 104.2 | LUCKY | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 0 | 3 | 0 | 37 | 11 | 11 | 15 | 0 | 21 | 15 | 0 | 24 | 6 | 1 | 16.67% | 0 | 0 | 0.00% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 25 | 15 | 18 | 7 | 15 | 9 | 57.1% | 13.5% | 85.7% | 99.2 | FUN | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 5 | 1 | 3 | 0 | 61 | 23 | 19 | 19 | 0 | 50 | 15 | 38 | 36 | 11 | 3 | 27.27% | 4 | 0 | 100.00% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 45 | 26 | 41 | 17 | 33 | 16 | 66.7% | 14.8% | 94.0% | 108.8 | LUCKY | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 0 | 0 | 2 | 0 | 29 | 6 | 16 | 7 | 0 | 29 | 8 | 8 | 21 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 20 | 11 | 24 | 8 | 15 | 6 | 50.0% | 6.9% | 89.7% | 96.6 | Unlucky | |
8 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 63 | 24 | 20 | 18 | 1 | 69 | 23 | 8 | 46 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 41 | 24 | 48 | 16 | 31 | 15 | 37.5% | 4.8% | 92.8% | 97.5 | DULL | |
_Vs Division | 9 | 2 | 6 | 0 | 0 | 0 | 0 | 1 | 23 | 29 | -6 | 5 | 0.278 | 23 | 42 | 65 | 1 | 0 | 8 | 8 | 7 | 0 | 261 | 81 | 103 | 72 | 8 | 277 | 87 | 112 | 181 | 20 | 4 | 20.00% | 31 | 5 | 83.87% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 186 | 108 | 208 | 81 | 149 | 72 | 44.2% | 8.8% | 89.5% | 98.3 | Unlucky | |
_Vs Conference | 12 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 37 | 39 | -2 | 10 | 0.417 | 37 | 67 | 104 | 1 | 0 | 15 | 11 | 11 | 0 | 368 | 116 | 138 | 108 | 13 | 379 | 118 | 124 | 258 | 30 | 9 | 30.00% | 32 | 5 | 84.38% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 258 | 154 | 272 | 105 | 199 | 98 | 45.2% | 10.1% | 89.7% | 99.8 | FUN | |
_Since Last GM Reset | 15 | 5 | 6 | 0 | 0 | 2 | 0 | 2 | 42 | 45 | -3 | 14 | 0.467 | 42 | 76 | 118 | 1 | 0 | 16 | 12 | 14 | 0 | 469 | 148 | 173 | 141 | 14 | 483 | 150 | 132 | 326 | 36 | 9 | 25.00% | 36 | 5 | 86.11% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 325 | 195 | 340 | 128 | 244 | 121 | 45.2% | 9.0% | 90.7% | 99.6 | FUN | |
Total | 15 | 5 | 6 | 0 | 0 | 2 | 0 | 2 | 42 | 45 | -3 | 14 | 0.467 | 42 | 76 | 118 | 1 | 0 | 16 | 12 | 14 | 0 | 469 | 148 | 173 | 141 | 14 | 483 | 150 | 132 | 326 | 36 | 9 | 25.00% | 36 | 5 | 86.11% | 0 | 191 | 358 | 53.35% | 181 | 364 | 49.73% | 108 | 210 | 51.43% | 325 | 195 | 340 | 128 | 244 | 121 | 45.2% | 9.0% | 90.7% | 99.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 16 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 358 |
Neutral Zone Start | 210 |
Defensive Zone Start | 364 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 480 |
Faceoffs Lost | 452 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 21.4 | 20.31 |
3rd Period | 30.8 | 30.68 |
Overtime | 31.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 32 |
---|---|
PP Goal | 9 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 4 | 1 |
Lost | 1 | 5 |
Overtime Lost | 2 | 2 |
PP Attempt | 36 |
---|---|
PP Goal | 9 |
PK Attempt | 36 |
PK Goal Against | 5 |
Home | |
---|---|
Shots For | 31.3 |
Shots Against | 32.2 |
Goals For | 2.8 |
Goals Against | 3.0 |
Hits | 21.7 |
Shots Blocked | 10.0 |
Pim | 8.8 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-10-09 | VS | COL2,DAL1 | RECAP | |||||||||||
2023-10-12 | VS | DAL2,ARI3 | RECAP | |||||||||||
2023-10-13 | VS | DAL3,COL4 | RECAP | |||||||||||
2023-10-16 | VS | DAL2,NSH5 | RECAP | |||||||||||
2023-10-19 | VS | VGS3,DAL6 | RECAP | |||||||||||
2023-10-21 | VS | DAL1,OTT2 (OT) | RECAP | |||||||||||
2023-10-23 | VS | LAK3,DAL5 | RECAP | |||||||||||
2023-10-28 | VS | VGS4,DAL3 (SO) | RECAP | |||||||||||
2023-10-29 | VS | DAL2,COL5 | RECAP | |||||||||||
2023-11-04 | VS | NSH4,DAL3 (SO) | RECAP | |||||||||||
2023-11-07 | VS | DAL1,NSH3 | RECAP | |||||||||||
2023-11-11 | VS | PHI1,DAL2 | RECAP | |||||||||||
2023-11-13 | VS | DAL4,WPG2 | RECAP | |||||||||||
2023-11-15 | VS | WPG1,DAL5 | RECAP | |||||||||||
2023-11-20 | VS | DAL2,OTT3 (OT) | RECAP | |||||||||||
2023-11-22 | VS | |||||||||||||
2023-11-27 | VS | |||||||||||||
2023-12-01 | VS | |||||||||||||
2023-12-03 | VS | |||||||||||||
2023-12-08 | VS | |||||||||||||
2023-12-12 | VS | |||||||||||||
2023-12-14 | VS | |||||||||||||
2023-12-16 | VS | |||||||||||||
2023-12-19 | VS | |||||||||||||
2023-12-23 | VS | |||||||||||||
2023-12-24 | VS | |||||||||||||
2023-12-28 | VS | |||||||||||||
2023-12-29 | VS | |||||||||||||
2024-01-02 | VS | |||||||||||||
2024-01-04 | VS | |||||||||||||
2024-01-09 | VS | |||||||||||||
2024-01-11 | VS | |||||||||||||
2024-01-13 | VS | |||||||||||||
2024-01-16 | VS | |||||||||||||
2024-01-18 | VS | |||||||||||||
2024-01-19 | VS | |||||||||||||
2024-01-22 | VS | |||||||||||||
2024-01-24 | VS | |||||||||||||
2024-01-26 | VS | |||||||||||||
2024-01-30 | VS | |||||||||||||
2024-02-01 | VS | |||||||||||||
2024-02-05 | VS | |||||||||||||
2024-02-08 | VS | |||||||||||||
2024-02-10 | VS | |||||||||||||
2024-02-15 | VS | |||||||||||||
2024-02-17 | VS | |||||||||||||
2024-02-19 | VS | |||||||||||||
2024-02-22 | VS | |||||||||||||
2024-02-24 | VS | |||||||||||||
2024-02-28 | VS | |||||||||||||
2024-03-04 | VS | |||||||||||||
2024-03-06 | VS | |||||||||||||
2024-03-08 | VS | |||||||||||||
2024-03-12 | VS | |||||||||||||
2024-03-14 | VS | |||||||||||||
2024-03-17 | VS | |||||||||||||
2024-03-19 | VS | |||||||||||||
2024-03-21 | VS | |||||||||||||
2024-03-25 | VS | |||||||||||||
2024-03-27 | VS | |||||||||||||
2024-03-31 | VS | |||||||||||||
2024-04-02 | VS | |||||||||||||
2024-04-07 | VS | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2024-04-12 | VS | |||||||||||||
2024-04-14 | VS | |||||||||||||
2024-04-16 | VS | |||||||||||||
2024-04-18 | VS | |||||||||||||
2024-04-21 | VS | |||||||||||||
2024-04-23 | VS | |||||||||||||
2024-04-24 | VS | |||||||||||||
2024-04-28 | VS | |||||||||||||
2024-04-30 | VS | |||||||||||||
2024-05-01 | VS | |||||||||||||
2024-05-05 | VS | |||||||||||||
2024-05-06 | VS | |||||||||||||
2024-05-09 | VS | |||||||||||||
2024-05-13 | VS | |||||||||||||
2024-05-14 | VS | |||||||||||||
2024-05-20 | VS | |||||||||||||
2024-05-21 | VS | |||||||||||||
2024-05-28 | VS | |||||||||||||
2024-05-30 | VS |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,125,000$ | 0$ | 81,125,000$ | 3,875,000$ |
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 | 34426 | 29097 | 14151 | 22388 | 7000 |
Attendance PCT | 81.97% | 83.13% | 79.84% | 79.96% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
34 | 15295 - 82.53% | 1,927,442$ | 13,492,094$ | 18532 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,125,000$ | 81,125,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
15,538,400$ | 81,125,000$ | 15,347,500$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
65,533,028$ | 195 | 340,768$ | 66,449,760$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
66,530,274$ | 81,125,000$ | 126,346,646$ | 130,956,457$ |
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 |
---|---|---|---|---|---|
2024 | |||||
2025 | |||||
2026 | |||||
2027 | |||||
2028 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Adam Sýkora | |||||
Anton Johannesson | |||||
Axel Sandin Pellikka | |||||
Danill Karpovich | |||||
Denver Barkey | |||||
Dmitri Buchelnikov | |||||
Dmitri Kostenko | |||||
Emil Jarventie | |||||
Isaaiah George | |||||
Juraj Pekarcik | |||||
Kasper Halttunen | |||||
Kirill Dolzhenkov | |||||
Kirill Kudryavtsev | |||||
Luca Cagnoni | |||||
Michael Buchinger | |||||
Noah Dower Nilsson | |||||
Noel Gunler | |||||
Noel Nordh | |||||
Rieger Lorenz | |||||
Timur Mukhanov | |||||
Veeti Miettinen | |||||
Vilmer Alriksson | |||||
Vladimir Grudinin |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
2024 | |||||
2025 | |||||
2026 | |||||
2027 | |||||
2028 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Adam Sýkora | |||||
Anton Johannesson | |||||
Axel Sandin Pellikka | |||||
Danill Karpovich | |||||
Denver Barkey | |||||
Dmitri Buchelnikov | |||||
Dmitri Kostenko | |||||
Emil Jarventie | |||||
Isaaiah George | |||||
Juraj Pekarcik | |||||
Kasper Halttunen | |||||
Kirill Dolzhenkov | |||||
Kirill Kudryavtsev | |||||
Luca Cagnoni | |||||
Michael Buchinger | |||||
Noah Dower Nilsson | |||||
Noel Gunler | |||||
Noel Nordh | |||||
Rieger Lorenz | |||||
Timur Mukhanov | |||||
Veeti Miettinen | |||||
Vilmer Alriksson | |||||
Vladimir Grudinin |
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