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Full Scoreboard ยป |
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Full Scoreboard ยป |
Dallas Stars 0-3-0, 0pts · 12th in Western Conference |
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 | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 88 | 54 | 69 | 74 | 73 | 69 | 86 | 95 | 66 | 93 | 92 | 49 | 68 | 86 | 87 | 45 | 45 | 76 | 29 | 3,150,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 79 | 53 | 69 | 76 | 73 | 83 | 84 | 88 | 39 | 82 | 89 | 66 | 76 | 79 | 73 | 64 | 45 | 75 | 27 | 4,018,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 28 | 24 | 99 | 74 | 72 | 80 | 83 | 97 | 19 | 96 | 96 | 49 | 76 | 82 | 72 | 55 | 45 | 75 | 28 | 4,362,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 72 | 54 | 88 | 72 | 74 | 81 | 89 | 84 | 29 | 80 | 84 | 65 | 84 | 93 | 96 | 26 | 45 | 74 | 31 | 4,000,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 51 | 15 | 86 | 77 | 74 | 91 | 85 | 85 | 48 | 79 | 89 | 74 | 70 | 60 | 60 | 75 | 45 | 74 | 26 | 4,302,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 27 | 23 | 99 | 73 | 75 | 78 | 90 | 69 | 82 | 67 | 71 | 71 | 77 | 90 | 91 | 35 | 45 | 68 | 30 | 3,250,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 18 | 1 | 81 | 77 | 73 | 71 | 70 | 81 | 80 | 79 | 73 | 65 | 64 | 64 | 64 | 81 | 45 | 68 | 23 | 2,000,000$/6yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 29 | 87 | 72 | 77 | 87 | 84 | 65 | 70 | 57 | 69 | 70 | 78 | 83 | 79 | 54 | 45 | 67 | 28 | 3,804,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 50 | 6 | 79 | 79 | 70 | 73 | 75 | 77 | 47 | 72 | 72 | 55 | 67 | 64 | 64 | 81 | 45 | 66 | 23 | 1,950,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 64 | 29 | 70 | 73 | 71 | 81 | 70 | 73 | 75 | 72 | 71 | 62 | 64 | 62 | 62 | 78 | 45 | 66 | 24 | 1,250,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 58 | 41 | 79 | 65 | 74 | 75 | 68 | 56 | 88 | 53 | 53 | 67 | 58 | 99 | 99 | 1 | 45 | 62 | 34 | 685,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 93 | 42 | 58 | 65 | 78 | 77 | 75 | 55 | 77 | 52 | 54 | 63 | 57 | 68 | 68 | 62 | 45 | 61 | 29 | 685,000$/1yrs | |||
![]() | 0 | D | 100.00 | 45 | 27 | 99 | 71 | 72 | 93 | 88 | 99 | 30 | 99 | 89 | 78 | 63 | 98 | 95 | 9 | 45 | 78 | 33 | 6,500,000$/1yrs | |||
![]() | 1 | D | 100.00 | 99 | 58 | 78 | 71 | 76 | 89 | 91 | 57 | 26 | 60 | 57 | 79 | 52 | 97 | 92 | 16 | 45 | 74 | 32 | 4,532,000$/2yrs | |||
![]() | 0 | D | 100.00 | 51 | 35 | 82 | 79 | 74 | 99 | 74 | 85 | 30 | 79 | 84 | 75 | 72 | 79 | 82 | 58 | 45 | 74 | 28 | 7,453,000$/2yrs | |||
![]() | 0 | D | 100.00 | 78 | 22 | 65 | 69 | 76 | 86 | 80 | 61 | 5 | 63 | 65 | 73 | 60 | 67 | 67 | 68 | 45 | 68 | 26 | 1,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 52 | 20 | 69 | 67 | 75 | 78 | 72 | 66 | 5 | 73 | 69 | 74 | 64 | 65 | 65 | 70 | 45 | 66 | 27 | 1,565,000$/1yrs | |||
![]() | 0 | D | 100.00 | 38 | 27 | 99 | 60 | 78 | 66 | 93 | 41 | 30 | 47 | 40 | 83 | 50 | 88 | 85 | 31 | 45 | 64 | 31 | 1,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 58 | 31 | 81 | 72 | 74 | 81 | 81 | 74 | 47 | 72 | 73 | 68 | 67 | 79 | 78 | 51 | 45 | 70 |
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 | 98.00 | 83 | 91 | 86 | 76 | 82 | 99 | 99 | 99 | 99 | 96 | 79 | 92 | 99 | 21 | 45 | 88 | 32 | 6,725,000$/4yrs |
![]() | 0 | 100.00 | 87 | 80 | 85 | 80 | 84 | 90 | 92 | 89 | 90 | 82 | 86 | 67 | 67 | 68 | 45 | 81 | 26 | 3,000,000$/4yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 85 | 86 | 86 | 78 | 83 | 95 | 96 | 94 | 95 | 89 | 83 | 80 | 83 | 45 | 45 | 85 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Paul Maurice | 99 | 78 | 87 | 93 | 99 | 99 | 36 | CAN | 57 | 2 | 2,000,000$ |
General Manager | Jason Wirstiuk |
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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 | Brendan Gallagher | 0 | RW | 3 | 2 | 0 | 2 | 1 | 0 | 0 | 1 | 5 | 2 | 2 | 40.00% | 0 | 14.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 1 | 0 | 0 | 0 | 0.90 | 0 | 0 | ||
2 | Danton Heinen | 0 | C/LW/RW | 3 | 2 | 0 | 2 | 2 | 2 | 0 | 5 | 5 | 1 | 3 | 40.00% | 1 | 12.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 2 | 0 | 0 | 0 | 1.08 | 0 | 0 | ||
3 | Viktor Arvidsson | 0 | LW/RW | 3 | 0 | 2 | 2 | 1 | 0 | 0 | 3 | 9 | 4 | 6 | 0.00% | 1 | 20.15 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 1 | 1 | 0 | 0 | 0.66 | 0 | 0 | ||
4 | Brandon Sutter | 0 | C/RW | 3 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 6 | 3 | 1 | 0.00% | 2 | 17.72 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 9 | 0 | 0 | 56.25% | 48 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
5 | Brock Nelson | 0 | C/LW | 3 | 0 | 1 | 1 | 2 | 2 | 0 | 1 | 1 | 1 | 2 | 0.00% | 0 | 19.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 2 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
6 | Dylan Demelo | 0 | D | 3 | 0 | 1 | 1 | 2 | 0 | 0 | 3 | 1 | 1 | 1 | 0.00% | 2 | 15.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 1 | 0 | 0 | 0.43 | 0 | 0 | ||
7 | Anton Stralman | 0 | D | 3 | 0 | 0 | 0 | -3 | 0 | 0 | 0 | 2 | 2 | 3 | 0.00% | 4 | 19.52 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.00 | 0 | 0 | ||
8 | Brad Richardson | 0 | C/LW/RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 1 | 9.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35.71% | 14 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
9 | David Perron | 0 | LW/RW | 3 | 0 | 0 | 0 | 0 | 2 | 0 | 8 | 1 | 0 | 2 | 0.00% | 2 | 16.14 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 17.86% | 28 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
10 | Jeff Petry | 1 | D | 3 | 0 | 0 | 0 | -3 | 4 | 0 | 5 | 2 | 1 | 0 | 0.00% | 2 | 23.03 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.00 | 0 | 0 | ||
11 | Karl Alzner | 0 | D | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 2 | 0.00% | 2 | 18.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 5 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Nazem Kadri | 0 | C | 3 | 0 | 0 | 0 | -6 | 2 | 0 | 7 | 10 | 2 | 9 | 0.00% | 1 | 19.10 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 8 | 0 | 0 | 43.48% | 69 | 1 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
13 | Reilly Smith | 0 | LW/RW | 3 | 0 | 0 | 0 | -6 | 0 | 0 | 3 | 8 | 0 | 5 | 0.00% | 1 | 19.30 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 9 | 0 | 0 | 100.00% | 1 | 2 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Tyson Barrie | 0 | D | 3 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 11 | 0 | 4 | 0.00% | 5 | 25.57 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 1 | 2 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Robby Fabbri | 0 | C/RW | 3 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 7 | 3 | 3 | 0.00% | 0 | 9.75 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 9 | 3 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Adam Clendening | 0 | D | 3 | 0 | 0 | 0 | -2 | 6 | 0 | 3 | 2 | 0 | 1 | 0.00% | 1 | 17.67 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Andreas Martinsen | 0 | C/LW/RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Kasperi Kapanen | 0 | LW/RW | 3 | 0 | 0 | 0 | -5 | 2 | 0 | 1 | 0 | 1 | 2 | 0.00% | 1 | 14.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 54 | 4 | 5 | 9 | -15 | 22 | 0 | 44 | 73 | 21 | 46 | 5.48% | 26 | 16.30 | 0 | 0 | 0 | 37 | 0 | 0 | 0 | 76 | 0 | 0 | 43.75% | 176 | 14 | 15 | 0 | 0 | 0.20 | 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 |
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1 | Tuukka Rask | Stars | 3 | 0 | 3 | 0 | 0.913 | 3.02 | 179 | 0 | 0 | 9 | 104 | 40 | 0 | 1 | 0.000 | 0 | 3 | 0 | 0 | 0 | 1 |
Team Total or Average | 3 | 0 | 3 | 0 | 0.913 | 3.02 | 179 | 0 | 0 | 9 | 104 | 40 | 0 | 1 | 0.000 | 0 | 3 | 0 | 0 | 0 | 1 |
Projected Total Cap Hit | 65,981,000$ |
Projected Cap Space | 18,019,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 2,184,800$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2020-2021 | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | 2026-2027 | 2027-2028 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Clendening ![]() | D | 27 | 1,565,000$ | 1,565,000$ | |||||||
Andreas Martinsen ![]() | C/LW/RW | 29 | 685,000$ | 685,000$ | |||||||
Anton Stralman | D | 33 | 6,500,000$ | 6,500,000$ | |||||||
Brad Richardson ![]() | C/LW/RW | 34 | 685,000$ | 685,000$ | |||||||
Brandon Sutter ![]() | C/RW | 30 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | ||||
Brendan Gallagher | RW | 27 | 4,018,000$ | 4,018,000$ | 4,018,000$ | 4,018,000$ | |||||
Brock Nelson ![]() | C/LW | 28 | 3,804,000$ | 3,804,000$ | |||||||
Danton Heinen ![]() | C/LW/RW | 24 | 1,250,000$ | 1,250,000$ | |||||||
David Perron | LW/RW | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | ||||
Dylan Demelo ![]() | D | 26 | 1,750,000$ | 1,750,000$ | |||||||
Jeff Petry | D | 32 | 4,532,000$ | 4,532,000$ | 4,532,000$ | ||||||
Jordan Binnington ![]() | C/LW/RW | 26 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||
Karl Alzner ![]() | D | 31 | 1,000,000$ | 1,000,000$ | |||||||
Kasperi Kapanen ![]() | LW/RW | 23 | 1,950,000$ | 1,950,000$ | |||||||
Nazem Kadri ![]() | C | 29 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | |||||
Reilly Smith | LW/RW | 28 | 4,362,000$ | 4,362,000$ | 4,362,000$ | ||||||
Robby Fabbri ![]() | C/RW | 23 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||
Tuukka Rask | C/LW | 32 | 6,725,000$ | 6,725,000$ | 6,725,000$ | 6,725,000$ | 6,725,000$ | ||||
Tyson Barrie | D | 28 | 7,453,000$ | 7,453,000$ | 7,453,000$ | ||||||
Viktor Arvidsson | LW/RW | 26 | 4,302,000$ | 4,302,000$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 25 | 10 | 6 | 9 | 0 | 37 | 10 | 8 | 11 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 32 | 60 | 53.33% | 30 | 78 | 38.46% | 15 | 38 | 39.47% | 19 | 11 | 24 | 9 | 16 | 7 | 50.0% | 8.0% | 89.2% | 97.2 | Unlucky | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 22 | 11 | 7 | 4 | 0 | 38 | 8 | 8 | 16 | 0 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 32 | 60 | 53.33% | 30 | 78 | 38.46% | 15 | 38 | 39.47% | 15 | 7 | 28 | 10 | 16 | 7 | 25.0% | 4.5% | 92.1% | 96.7 | DULL | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 26 | 4 | 8 | 14 | 0 | 30 | 8 | 6 | 17 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 32 | 60 | 53.33% | 30 | 78 | 38.46% | 15 | 38 | 39.47% | 17 | 9 | 25 | 8 | 16 | 7 | 33.3% | 3.8% | 90.0% | 93.8 | Unlucky | |
_Vs Division | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 5 | 9 | 1 | 0 | 0 | 1 | 3 | 0 | 73 | 25 | 21 | 27 | 0 | 105 | 26 | 22 | 44 | 4 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 32 | 60 | 53.33% | 30 | 78 | 38.46% | 15 | 38 | 39.47% | 52 | 27 | 77 | 29 | 49 | 21 | 36.4% | 5.5% | 90.5% | 96.0 | Unlucky | |
_Vs Conference | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 5 | 9 | 1 | 0 | 0 | 1 | 3 | 0 | 73 | 25 | 21 | 27 | 0 | 105 | 26 | 22 | 44 | 4 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 32 | 60 | 53.33% | 30 | 78 | 38.46% | 15 | 38 | 39.47% | 52 | 27 | 77 | 29 | 49 | 21 | 36.4% | 5.5% | 90.5% | 96.0 | Unlucky | |
_Since Last GM Reset | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 5 | 9 | 1 | 0 | 0 | 1 | 3 | 0 | 73 | 25 | 21 | 27 | 0 | 105 | 26 | 22 | 44 | 4 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 32 | 60 | 53.33% | 30 | 78 | 38.46% | 15 | 38 | 39.47% | 52 | 27 | 77 | 29 | 49 | 21 | 36.4% | 5.5% | 90.5% | 96.0 | Unlucky | |
Total | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 5 | 9 | 1 | 0 | 0 | 1 | 3 | 0 | 73 | 25 | 21 | 27 | 0 | 105 | 26 | 22 | 44 | 4 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 32 | 60 | 53.33% | 30 | 78 | 38.46% | 15 | 38 | 39.47% | 52 | 27 | 77 | 29 | 49 | 21 | 36.4% | 5.5% | 90.5% | 96.0 | Unlucky |
Puck Time | |
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Offensive Zone | 17 |
Neutral Zone | 16 |
Defensive Zone | 25 |
Puck Time | |
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Offensive Zone Start | 60 |
Neutral Zone Start | 38 |
Defensive Zone Start | 78 |
Puck Time | |
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With Puck | 26 |
Without Puck | 33 |
Faceoffs | |
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Faceoffs Won | 77 |
Faceoffs Lost | 99 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.3 | 9.57 |
2nd Period | 15.3 | 20.31 |
3rd Period | 24.3 | 30.68 |
Overtime | 24.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.3 | 1.65 |
3rd Period | 1.3 | 2.67 |
Overtime | 1.3 | 2.83 |
Even Strenght Goal | 3 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 1 |
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Win | 0 | 0 |
Lost | 2 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 4 |
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PP Goal | 0 |
PK Attempt | 11 |
PK Goal Against | 3 |
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Shots For | 24.3 |
Shots Against | 35.0 |
Goals For | 1.3 |
Goals Against | 3.3 |
Hits | 14.7 |
Shots Blocked | 8.7 |
Pim | 7.3 |
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
65,981,000$ | 0$ | 65,981,000$ | 18,019,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | American Airlines Center | |
City | Dallas | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 55$ | 30$ | 20$ | 200$ |
Attendance | 11375 | 10000 | 4000 | 8000 | 1980 |
Attendance PCT | 94.79% | 100.00% | 100.00% | 100.00% | 99.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
39 | 17678 - 98.21% | 1,760,808$ | 3,521,615$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
65,981,000$ | 65,981,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
2,251,025$ | 65,981,000$ | 2,184,800$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
68,671,492$ | 146 | 450,205$ | 65,729,930$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
68,331,830$ | 65,981,000$ | 37,689,980$ | 42,968,992$ |
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 |
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11 | |||
12 | |||
13 | |||
14 | |||
15 |
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 Werner | 7 | 46 | 7.0C Goalie | ||
Alfons Malmstrom | 7 | 68 | 5.0B Defence | ||
Beoit-Olivier Groulx | 10 | 25 | |||
Brady Tkachuk | 10 | 1 | |||
Cole Hults | 8 | 84 | 7.0C Defence | ||
Connor Bunnaman | 7 | 69 | 6.0C Center | ||
Cooper Marody | 7 | 59 | 6.0B Center | ||
David Gustafsson | 10 | 31 | |||
Declan Chisholm | 10 | 52 | |||
Filip Ahl | recreate once signed | ||||
Matej Pekar | 10 | 60 | |||
Ryan Sproul | 6 | 58 | 7.0C Defence | ||
Tyler Tucker | 10 | 84 |
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