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Texas Stars 1-0-0, 2pts · 15th in WESTERN CONFERENCE |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
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![]() | 0 | C/LW | 100.00 | 62 | 59 | 74 | 85 | 78 | 78 | 95 | 77 | 77 | 73 | 71 | 74 | 67 | 61 | 61 | 83 | 50 | 71 | 22 | 1,350,000$/6yrs | |||
![]() | 0 | C/RW | 100.00 | 51 | 46 | 92 | 85 | 73 | 79 | 95 | 78 | 74 | 71 | 74 | 69 | 72 | 63 | 63 | 75 | 50 | 71 | 22 | 925,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 51 | 45 | 81 | 86 | 66 | 81 | 95 | 76 | 83 | 76 | 64 | 70 | 64 | 56 | 56 | 88 | 50 | 69 | 21 | 925,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 49 | 42 | 87 | 83 | 66 | 78 | 95 | 75 | 65 | 69 | 70 | 69 | 69 | 51 | 51 | 89 | 50 | 68 | 21 | 925,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 51 | 45 | 81 | 83 | 67 | 81 | 95 | 73 | 67 | 67 | 66 | 67 | 69 | 56 | 56 | 88 | 50 | 67 | 21 | 925,000$/2yrs | |||
![]() | 86 | LW/RW | 100.00 | 90 | 89 | 59 | 72 | 70 | 68 | 62 | 69 | 52 | 63 | 71 | 74 | 66 | 79 | 79 | 60 | 50 | 67 | 26 | 1,500,000$/6yrs | |||
![]() | 0 | C/LW | 100.00 | 53 | 47 | 75 | 85 | 66 | 73 | 90 | 71 | 71 | 63 | 67 | 67 | 70 | 58 | 58 | 86 | 50 | 66 | 22 | 925,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 70 | 67 | 60 | 80 | 81 | 69 | 84 | 64 | 66 | 54 | 64 | 75 | 67 | 56 | 56 | 88 | 50 | 65 | 21 | 925,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 81 | 58 | 84 | 77 | 86 | 58 | 89 | 68 | 41 | 55 | 73 | 70 | 25 | 53 | 53 | 55 | 50 | 65 | 29 | 750,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 46 | 40 | 98 | 86 | 68 | 69 | 95 | 67 | 59 | 55 | 67 | 62 | 70 | 56 | 56 | 81 | 50 | 64 | 22 | 1,150,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 76 | 75 | 79 | 64 | 75 | 65 | 70 | 49 | 61 | 44 | 48 | 67 | 46 | 44 | 44 | 90 | 50 | 55 | 22 | 925,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 75 | 68 | 92 | 64 | 68 | 54 | 55 | 50 | 71 | 41 | 54 | 67 | 51 | 44 | 44 | 80 | 50 | 54 | 23 | 900,000$/4yrs | |||
![]() | 5 | D | 100.00 | 51 | 45 | 93 | 89 | 73 | 72 | 92 | 58 | 25 | 56 | 52 | 73 | 54 | 71 | 71 | 67 | 50 | 68 | 24 | 1,100,000$/3yrs | |||
![]() | 0 | D | 100.00 | 83 | 82 | 70 | 70 | 80 | 70 | 73 | 55 | 25 | 41 | 51 | 75 | 48 | 64 | 64 | 74 | 50 | 65 | 23 | 1,100,000$/4yrs | |||
![]() | 0 | D | 100.00 | 68 | 64 | 66 | 79 | 77 | 72 | 95 | 52 | 25 | 55 | 39 | 70 | 41 | 60 | 60 | 84 | 50 | 65 | 21 | 1,100,000$/4yrs | |||
![]() | 0 | D | 100.00 | 58 | 52 | 68 | 80 | 69 | 74 | 95 | 56 | 25 | 57 | 46 | 70 | 48 | 60 | 60 | 84 | 50 | 65 | 21 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 55 | 51 | 82 | 74 | 73 | 73 | 95 | 55 | 25 | 56 | 44 | 70 | 46 | 58 | 58 | 80 | 50 | 64 | 22 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 51 | 46 | 83 | 74 | 67 | 70 | 95 | 50 | 25 | 52 | 38 | 65 | 40 | 54 | 54 | 90 | 50 | 60 | 20 | 925,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 65 | C | 100.00 | 52 | 33 | 96 | 74 | 68 | 86 | 73 | 66 | 79 | 60 | 56 | 69 | 60 | 99 | 99 | 42 | 50 | 66 | 31 | 700,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 80 | 74 | 94 | 71 | 78 | 69 | 73 | 53 | 50 | 46 | 56 | 70 | 53 | 62 | 62 | 76 | 50 | 60 | 23 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 62 | 58 | 64 | 71 | 75 | 54 | 66 | 46 | 58 | 44 | 40 | 66 | 42 | 60 | 60 | 80 | 50 | 54 | 22 | 925,000$/3yrs | |||
![]() | 57 | D | 100.00 | 81 | 76 | 85 | 75 | 74 | 54 | 56 | 54 | 25 | 39 | 39 | 78 | 37 | 67 | 67 | 79 | 50 | 63 | 23 | 900,000$/2yrs | |||
![]() | 0 | D | 100.00 | 51 | 47 | 93 | 80 | 73 | 69 | 93 | 51 | 25 | 52 | 39 | 68 | 41 | 63 | 63 | 75 | 50 | 63 | 22 | 1,100,000$/4yrs | |||
![]() | 0 | D | 100.00 | 78 | 76 | 86 | 71 | 83 | 55 | 57 | 56 | 25 | 41 | 41 | 73 | 39 | 61 | 61 | 77 | 50 | 62 | 23 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 50 | 45 | 91 | 72 | 69 | 67 | 95 | 43 | 25 | 43 | 36 | 61 | 38 | 58 | 58 | 80 | 50 | 59 | 21 | 925,000$/3yrs |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 74 | 100.00 | 84 | 79 | 75 | 92 | 84 | 83 | 77 | 85 | 87 | 82 | 75 | 77 | 78 | 60 | 50 | 81 | 26 | 2,600,000$/2yrs |
![]() | 0 | 100.00 | 67 | 61 | 59 | 73 | 73 | 64 | 81 | 73 | 73 | 66 | 75 | 65 | 64 | 74 | 50 | 69 | 24 | 2,000,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 53 | 78 | 73 | 91 | 54 | 73 | 58 | 70 | 64 | 52 | 54 | 66 | 66 | 71 | 50 | 66 | 24 | 925,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Colton Dach | C/LW | 1 | 2 | 0 | 2 | 2 | 0 | 0 | 3 | 6 | 0 | 2 | 33.33% | 0 | 17.25 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 61.90% | 21 | 0 | 0 | 0 | 0 | 2.32 | 0 | 0 | ||
2 | Zach Dean | C/LW | 1 | 0 | 2 | 2 | 2 | 0 | 0 | 1 | 4 | 2 | 3 | 0.00% | 0 | 17.25 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 2.32 | 0 | 0 | ||
3 | Isaak Phillips | D | 1 | 0 | 1 | 1 | 2 | 2 | 0 | 1 | 1 | 0 | 0 | 0.00% | 3 | 21.62 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 | ||
4 | Jayden Grubbe | C/RW | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 0 | 6.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 2.93 | 0 | 0 | ||
5 | Kalem Parker | D | 1 | 0 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 15.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.29 | 0 | 0 | ||
6 | Riley Kidney | C/LW/RW | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 3 | 1 | 1 | 0.00% | 0 | 17.50 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 56.25% | 16 | 0 | 0 | 0 | 0 | 1.14 | 0 | 0 | ||
7 | Matthew Seminoff | LW/RW | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 4 | 1 | 2 | 0.00% | 1 | 17.50 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.14 | 0 | 0 | ||
8 | Joachim Blichfeld | LW/RW | 1 | 1 | 0 | 1 | 0 | 2 | 0 | 7 | 2 | 0 | 2 | 50.00% | 0 | 17.42 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.15 | 0 | 0 | ||
9 | Nils Lundkvist | D | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 3 | 18.97 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.05 | 0 | 0 | ||
10 | Jeremy Hanzel | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 0 | 19.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
11 | Gannon Laroque | D | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 3 | 1 | 0 | 0.00% | 0 | 21.68 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Antti Saarela | C/LW/RW | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0.00% | 0 | 9.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
13 | Ethan Samson | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0.00% | 0 | 22.60 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Ethan Cardwell | C/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 4 | 0.00% | 0 | 15.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 60.87% | 23 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Nathan Gaucher | C/RW | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 9.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 72.73% | 11 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Austin Roest | LW/RW | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 3 | 1 | 3 | 0.00% | 0 | 17.25 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Joel L'Esperance | C/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 0 | 1 | 0.00% | 0 | 15.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Jan Mysak | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.00% | 0 | 12.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 18 | 4 | 7 | 11 | 15 | 6 | 0 | 26 | 37 | 8 | 21 | 10.81% | 7 | 16.33 | 0 | 0 | 0 | 19 | 0 | 0 | 0 | 23 | 1 | 0 | 60.53% | 76 | 0 | 0 | 0 | 0 | 0.75 | 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 | GS | W | L | OTL | PCT | GAA | GSAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
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1 | Stuart Skinner | 1 | 1 | 1 | 0 | 0 | 0.963 | 1.00 | 1.3 | 60 | 0 | 0 | 1 | 27 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 | |
Team Total or Average | 1 | 1 | 0 | 0 | 0.963 | 1.00 | 60 | 0 | 0 | 1 | 27 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
Player Name | POS | Age | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|
Antti Saarela | C/LW/RW | 23 | $900,000 | $900,000 | $900,000 | $900,000 | ||||
Austin Roest | LW/RW | 21 | $925,000 | $925,000 | ||||||
Colton Dach | C/LW | 22 | $1,350,000 | $1,350,000 | $1,350,000 | $1,350,000 | $1,350,000 | $1,350,000 | ||
Daniel Torgersson | LW/RW | 23 | $867,500 | |||||||
Daniil Chayka | D | 22 | $1,100,000 | $1,100,000 | $1,100,000 | $1,100,000 | ||||
Emil Pettersson | C | 31 | $700,000 | $700,000 | $700,000 | |||||
Erik Portillo | G | 24 | $925,000 | |||||||
Ethan Cardwell | C/RW | 22 | $925,000 | |||||||
Ethan Samson | D | 21 | $925,000 | |||||||
Gannon Laroque | D | 21 | $1,100,000 | $1,100,000 | $1,100,000 | $1,100,000 | ||||
Isaak Phillips | D | 23 | $1,100,000 | $1,100,000 | $1,100,000 | $1,100,000 | ||||
Jan Mysak | C/LW | 22 | $1,150,000 | $1,150,000 | ||||||
Jayden Grubbe | C/RW | 22 | $925,000 | $925,000 | $925,000 | |||||
Jeremy Hanzel | D | 22 | $925,000 | $925,000 | $925,000 | |||||
Joachim Blichfeld | LW/RW | 26 | $1,500,000 | $1,500,000 | $1,500,000 | $1,500,000 | $1,500,000 | $1,500,000 | ||
Joel L'Esperance | C/RW | 29 | $750,000 | $750,000 | ||||||
Joel Maatta | C | 22 | $925,000 | $925,000 | $925,000 | |||||
Kalem Parker | D | 20 | $925,000 | $925,000 | $925,000 | |||||
Lukas Dostal | G | 24 | $812,500 | $812,500 | ||||||
Marc-Andre Gaudet | D | 21 | $925,000 | $925,000 | $925,000 | |||||
Matthew Seminoff | LW/RW | 21 | $925,000 | $925,000 | ||||||
Nathan Gaucher | C/RW | 21 | $925,000 | |||||||
Nils Lundkvist | D | 24 | $1,100,000 | $1,100,000 | $1,100,000 | |||||
Riley Kidney | C/LW/RW | 21 | $925,000 | |||||||
Stuart Skinner | G | 26 | $2,600,000 | $2,600,000 | ||||||
Vladislav Kolyachonok | D | 23 | $900,000 | $900,000 | ||||||
Yan Kuznetsov | D | 23 | $925,000 | |||||||
Zach Dean | C/LW | 22 | $925,000 |
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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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 37 | 16 | 14 | 7 | 0 | 27 | 7 | 6 | 26 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 17 | 26 | 65.38% | 20 | 36 | 55.56% | 9 | 14 | 64.29% | 22 | 15 | 24 | 7 | 12 | 6 | 80.0% | 10.8% | 96.3% | 107.1 | LUCKY | |
_Vs Division | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 37 | 16 | 14 | 7 | 0 | 27 | 7 | 6 | 26 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 17 | 26 | 65.38% | 20 | 36 | 55.56% | 9 | 14 | 64.29% | 22 | 15 | 24 | 7 | 12 | 6 | 80.0% | 10.8% | 96.3% | 107.1 | LUCKY | |
_Since Last GM Reset | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 37 | 16 | 14 | 7 | 0 | 27 | 7 | 6 | 26 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 17 | 26 | 65.38% | 20 | 36 | 55.56% | 9 | 14 | 64.29% | 22 | 15 | 24 | 7 | 12 | 6 | 80.0% | 10.8% | 96.3% | 107.1 | LUCKY | |
Total | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 37 | 16 | 14 | 7 | 0 | 27 | 7 | 6 | 26 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 17 | 26 | 65.38% | 20 | 36 | 55.56% | 9 | 14 | 64.29% | 22 | 15 | 24 | 7 | 12 | 6 | 80.0% | 10.8% | 96.3% | 107.1 | LUCKY |
Puck Time | |
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Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
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Offensive Zone Start | 26 |
Neutral Zone Start | 14 |
Defensive Zone Start | 36 |
Puck Time | |
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With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 46 |
Faceoffs Lost | 30 |
Team Average Shots after | League Average Shots after | |
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1st Period | 16.0 | 9.57 |
2nd Period | 30.0 | 20.31 |
3rd Period | 37.0 | 30.68 |
Overtime | 37.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
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1st Period | 2.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 4.0 | 2.67 |
Overtime | 4.0 | 2.83 |
Even Strenght Goal | 4 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 1 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 2 |
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PP Goal | 0 |
PK Attempt | 3 |
PK Goal Against | 0 |
Home | |
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Shots For | 37.0 |
Shots Against | 27.0 |
Goals For | 4.0 |
Goals Against | 1.0 |
Hits | 26.0 |
Shots Blocked | 7.0 |
Pim | 6.0 |
Date | Matchup | Result | Detail | |||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
$2,888,000 | $0 | $0 | $75,000,000 |
Arena | About us | |
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![]() | Name | American Airlines Center |
City | Texas | |
Capacity | 9000 | |
Season Ticket Holders | 30% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 3000 | |||
Ticket Price | $25 | $12 | $ | $ | $ |
Attendance | 4764 | 2554 | |||
Attendance PCT | 79.40% | 85.13% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
40 | 7318 - 81.31% | $179,698 | $179,698 | 9000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
$2,888,000 | $3,012,500 | $0 | $0 |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
$15,956 | $0 | $15,956 | $0 |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
$7,187,920 | 188 | $15,956 | $2,872,080 |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
$2,872,080 | $0 | $0 | $0 |
Sponsors | |||
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TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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