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Full Scoreboard ยป |
Texas Stars 2-4-1, 5pts · 15th in Conference Ouest |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Xavier Simoneau (R) | 23 | C/LW | 100.00 | 65 | 39 | 61 | 64 | 62 | 73 | 81 | 63 | 70 | 67 | 56 | 60 | 62 | 64 | 67 | 49 | 75 | 0 | 23 | 855,000$/1yrs | |||
Jesse Ylonen | 71 | RW | 100.00 | 67 | 38 | 94 | 65 | 77 | 87 | 85 | 64 | 68 | 66 | 61 | 63 | 71 | 65 | 66 | 73 | 75 | 0 | 25 | 775,000$/1yrs | |||
Chaz Lucius (R) | 7 | C | 100.00 | 65 | 38 | 87 | 63 | 74 | 76 | 64 | 62 | 71 | 65 | 56 | 58 | 62 | 61 | 63 | 83 | 75 | 0 | 21 | 894,167$/2yrs | |||
Tyler Weiss (R) | 96 | C/LW | 100.00 | 58 | 35 | 85 | 56 | 80 | 70 | 85 | 56 | 54 | 56 | 54 | 54 | 58 | 60 | 60 | 65 | 75 | 0 | 24 | 775,000$/1yrs | |||
Joshua Roy (R) | 9 | C/LW/RW | 100.00 | 63 | 37 | 94 | 64 | 73 | 87 | 71 | 66 | 65 | 67 | 63 | 62 | 64 | 61 | 65 | 53 | 75 | 0 | 21 | 835,000$/2yrs | |||
Chase Wheatcroft (R) | 8 | C/LW/RW | 100.00 | 70 | 40 | 81 | 58 | 79 | 75 | 68 | 56 | 66 | 59 | 54 | 57 | 55 | 62 | 64 | 43 | 75 | 0 | 22 | 862,500$/2yrs | |||
Olivier Nadeau (R) | 11 | RW | 100.00 | 66 | 38 | 78 | 59 | 82 | 67 | 80 | 59 | 63 | 57 | 57 | 62 | 59 | 61 | 61 | 65 | 75 | 0 | 21 | 836,667$/2yrs | |||
Kyle McDonald (R) | 10 | RW | 100.00 | 82 | 41 | 88 | 60 | 91 | 81 | 70 | 58 | 57 | 56 | 60 | 62 | 59 | 62 | 64 | 43 | 75 | 0 | 22 | 870,000$/2yrs | |||
Rhett Gardner | 12 | C | 100.00 | 73 | 42 | 67 | 60 | 85 | 81 | 84 | 59 | 72 | 58 | 57 | 63 | 58 | 68 | 70 | 49 | 75 | 0 | 28 | 775,000$/1yrs | |||
Trey Fix-Wolansky | 64 | RW | 100.00 | 63 | 38 | 80 | 67 | 66 | 89 | 86 | 64 | 68 | 65 | 66 | 61 | 64 | 66 | 67 | 47 | 75 | 0 | 25 | 775,000$/1yrs | |||
Luke Tuch (R) | 0 | LW | 100.00 | 62 | 35 | 85 | 61 | 80 | 73 | 85 | 60 | 56 | 61 | 59 | 57 | 61 | 60 | 60 | 75 | 75 | 0 | 22 | 912,500$/2yrs | |||
Oscar Eklind | 0 | C | 100.00 | 56 | 35 | 85 | 56 | 80 | 70 | 85 | 57 | 61 | 58 | 54 | 57 | 58 | 60 | 60 | 65 | 75 | 0 | 26 | 950,000$/1yrs | |||
Simon Edvinsson (R) | 88 | D | 100.00 | 81 | 43 | 73 | 66 | 94 | 85 | 84 | 64 | 30 | 61 | 63 | 65 | 52 | 61 | 63 | 88 | 75 | 0 | 21 | 925,000$/1yrs | |||
Samuel Bolduc | 13 | D | 100.00 | 78 | 40 | 89 | 63 | 90 | 83 | 81 | 62 | 30 | 61 | 60 | 64 | 52 | 65 | 66 | 67 | 75 | 0 | 23 | 800,000$/1yrs | |||
Luke Prokop (R) | 44 | D | 100.00 | 62 | 38 | 84 | 57 | 92 | 67 | 80 | 58 | 30 | 57 | 54 | 62 | 47 | 61 | 61 | 60 | 75 | 0 | 22 | 793,333$/1yrs | |||
Filip Roos (R) | 69 | D | 100.00 | 73 | 39 | 89 | 64 | 84 | 81 | 82 | 63 | 30 | 62 | 59 | 61 | 50 | 65 | 67 | 42 | 75 | 0 | 25 | 775,000$/1yrs | |||
Elias Salomonsson (R) | 0 | D | 100.00 | 58 | 35 | 85 | 59 | 80 | 70 | 85 | 55 | 35 | 64 | 53 | 58 | 50 | 60 | 60 | 65 | 75 | 0 | 20 | 815,000$/3yrs | |||
Joel Nystrom | 0 | D | 100.00 | 58 | 35 | 85 | 54 | 80 | 70 | 85 | 55 | 35 | 54 | 53 | 58 | 50 | 60 | 60 | 65 | 75 | 0 | 22 | 925,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Patrick Guay (R) | 68 | C | 100.00 | 57 | 38 | 76 | 55 | 66 | 67 | 65 | 54 | 59 | 53 | 52 | 51 | 54 | 62 | 64 | 56 | 75 | 0 | 22 | 925,000$/1yrs | |||
Marcus Sylvegard | 0 | LW/RW | 100.00 | 58 | 35 | 85 | 56 | 80 | 70 | 85 | 56 | 54 | 56 | 54 | 54 | 58 | 60 | 60 | 65 | 75 | 0 | 25 | 870,000$/1yrs | |||
Ryan O'Rourke (R) | 80 | D | 100.00 | 61 | 39 | 81 | 56 | 70 | 64 | 86 | 55 | 30 | 54 | 52 | 53 | 45 | 62 | 64 | 75 | 75 | 0 | 22 | 855,833$/1yrs | |||
Jake Furlong (R) | 0 | D | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 75 | 0 | 20 | 841,667$/3yrs | |||
Gavin White (R) | 36 | D | 100.00 | 65 | 38 | 89 | 56 | 74 | 70 | 68 | 54 | 30 | 57 | 50 | 53 | 45 | 62 | 64 | 60 | 75 | 0 | 21 | 857,500$/2yrs | |||
Nikolas Brouillard | 45 | D | 100.00 | 70 | 52 | 58 | 61 | 64 | 72 | 87 | 58 | 30 | 64 | 54 | 56 | 47 | 69 | 71 | 36 | 75 | 0 | 29 | 775,000$/1yrs |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jaxson Stauber | 35 | 100.00 | 75 | 80 | 76 | 78 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 65 | 73 | 56 | 75 | 0 | 25 | 775,000$/1yrs |
Felix Sandstrom | 0 | 100.00 | 74 | 80 | 76 | 83 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 67 | 77 | 56 | 75 | 0 | 27 | 775,000$/1yrs |
Scratches | ||||||||||||||||||||
Calle Clang | 42 | 100.00 | 71 | 77 | 73 | 79 | 70 | 69 | 71 | 70 | 69 | 71 | 70 | 62 | 67 | 66 | 75 | 0 | 22 | 878,333$/1yrs |
Vyacheslav Butayets | 0 | 100.00 | 64 | 85 | 72 | 80 | 65 | 64 | 65 | 66 | 65 | 64 | 66 | 60 | 60 | 75 | 75 | 0 | 22 | 852,500$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Darby Hendrickson | 68 | 73 | 70 | 65 | 78 | 72 | 71 | USA | 52 | 2 | 500,000$ |
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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Trey Fix-Wolansky | Stars (DAL) | RW | 7 | 3 | 4 | 7 | 3 | 2 | 0 | 3 | 17 | 10 | 27 | 17.65% | 1 | 19.34 | 0 | 1 | 1 | 9 | 0 | 1 | 1 | 10 | 1 | 0 | 41.67% | 12 | 0 | 0 | 0 | 0 | 1.03 | 0 | 0 | ||
2 | Xavier Simoneau | Stars (DAL) | C/LW | 7 | 1 | 4 | 5 | 3 | 2 | 0 | 9 | 11 | 7 | 6 | 9.09% | 1 | 17.84 | 0 | 1 | 1 | 9 | 0 | 0 | 0 | 1 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | ||
3 | Filip Roos | Stars (DAL) | D | 7 | 0 | 3 | 3 | 2 | 8 | 0 | 14 | 12 | 2 | 2 | 0.00% | 3 | 18.84 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
4 | Simon Edvinsson | Stars (DAL) | D | 7 | 0 | 2 | 2 | -6 | 2 | 0 | 23 | 10 | 5 | 10 | 0.00% | 11 | 24.81 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
5 | Luke Prokop | Stars (DAL) | D | 7 | 1 | 1 | 2 | 2 | 2 | 0 | 5 | 6 | 2 | 2 | 16.67% | 2 | 19.32 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
6 | Jesse Ylonen | Stars (DAL) | RW | 7 | 0 | 2 | 2 | -7 | 2 | 0 | 10 | 17 | 1 | 11 | 0.00% | 3 | 24.93 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 7 | 0 | 0 | 68.57% | 35 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
7 | Chaz Lucius | Stars (DAL) | C | 7 | 0 | 2 | 2 | -2 | 0 | 0 | 3 | 9 | 2 | 6 | 0.00% | 0 | 15.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53.10% | 113 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
8 | Rhett Gardner | Stars (DAL) | C | 7 | 2 | 0 | 2 | 3 | 2 | 0 | 11 | 21 | 3 | 12 | 9.52% | 0 | 17.63 | 1 | 0 | 1 | 9 | 0 | 0 | 0 | 0 | 1 | 0 | 59.59% | 146 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
9 | Luke Tuch | Stars (DAL) | LW | 7 | 2 | 0 | 2 | -4 | 0 | 0 | 8 | 7 | 2 | 7 | 28.57% | 2 | 16.23 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 8 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
10 | Joshua Roy | Stars (DAL) | C/LW/RW | 7 | 0 | 1 | 1 | -5 | 0 | 0 | 9 | 13 | 4 | 16 | 0.00% | 1 | 17.57 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 7 | 0 | 0 | 44.44% | 126 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | ||
11 | Chase Wheatcroft | Stars (DAL) | C/LW/RW | 7 | 1 | 0 | 1 | 0 | 2 | 0 | 9 | 9 | 1 | 5 | 11.11% | 1 | 16.24 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 0 | 1 | 40.00% | 10 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | ||
12 | Kyle McDonald | Stars (DAL) | RW | 7 | 1 | 0 | 1 | -1 | 2 | 0 | 12 | 14 | 5 | 4 | 7.14% | 1 | 16.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 71.43% | 7 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | ||
13 | Elias Salomonsson | Stars (DAL) | D | 7 | 0 | 1 | 1 | 0 | 0 | 0 | 12 | 2 | 1 | 2 | 0.00% | 5 | 16.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | ||
14 | Samuel Bolduc | Stars (DAL) | D | 7 | 0 | 0 | 0 | -2 | 0 | 0 | 5 | 5 | 1 | 2 | 0.00% | 9 | 19.10 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Tyler Weiss | Stars (DAL) | C/LW | 7 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 4 | 1 | 4 | 0.00% | 0 | 7.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.11% | 57 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Olivier Nadeau | Stars (DAL) | RW | 7 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 5 | 2 | 6 | 0.00% | 0 | 7.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 5 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Nikolas Brouillard | Stars (DAL) | D | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 7 | 0 | 0 | 0 | 0.00% | 2 | 16.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Oscar Eklind | Stars (DAL) | C | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Joel Nystrom | Stars (DAL) | D | 7 | 0 | 0 | 0 | -2 | 0 | 0 | 8 | 2 | 1 | 2 | 0.00% | 5 | 14.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 126 | 11 | 20 | 31 | -19 | 24 | 0 | 150 | 164 | 50 | 124 | 6.71% | 47 | 16.52 | 1 | 2 | 3 | 104 | 1 | 1 | 2 | 72 | 2 | 1 | 52.01% | 523 | 0 | 0 | 0 | 0 | 0.30 | 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 | Jaxson Stauber | Stars (DAL) | 7 | 2 | 4 | 1 | 0.903 | 2.30 | 418 | 0 | 0 | 16 | 165 | 0 | 0 | 1 | 0.000 | 0 | 7 | 0 | 0 | 0 | 0 |
Team Total or Average | 7 | 2 | 4 | 1 | 0.903 | 2.30 | 418 | 0 | 0 | 16 | 165 | 0 | 0 | 1 | 0.000 | 0 | 7 | 0 | 0 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
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Calle Clang | G | 22 | 878,333$ | 878,333$ | RFA | ||||||
Chase Wheatcroft | C/LW/RW | 22 | 862,500$ | 862,500$ | 862,500$ | RFA | |||||
Chaz Lucius | C | 21 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Elias Salomonsson | D | 20 | 815,000$ | 815,000$ | 815,000$ | 815,000$ | RFA | ||||
Felix Sandstrom | G | 27 | 775,000$ | 775,000$ | UFA | ||||||
Filip Roos | D | 25 | 775,000$ | 775,000$ | RFA | ||||||
Gavin White | D | 21 | 857,500$ | 857,500$ | 857,500$ | RFA | |||||
Jake Furlong | D | 20 | 841,667$ | 841,667$ | 841,667$ | 841,667$ | RFA | ||||
Jaxson Stauber | G | 25 | 775,000$ | 775,000$ | RFA | ||||||
Jesse Ylonen | RW | 25 | 775,000$ | 775,000$ | RFA | ||||||
Joel Nystrom | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Joshua Roy | C/LW/RW | 21 | 835,000$ | 835,000$ | 835,000$ | RFA | |||||
Kyle McDonald | RW | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Luke Prokop | D | 22 | 793,333$ | 793,333$ | RFA | ||||||
Luke Tuch | LW | 22 | 912,500$ | 912,500$ | 912,500$ | RFA | |||||
Marcus Sylvegard | LW/RW | 25 | 870,000$ | 870,000$ | RFA | ||||||
Nikolas Brouillard | D | 29 | 775,000$ | 775,000$ | UFA | ||||||
Olivier Nadeau | RW | 21 | 836,667$ | 836,667$ | 836,667$ | RFA | |||||
Oscar Eklind | C | 26 | 950,000$ | 950,000$ | RFA | ||||||
Patrick Guay | C | 22 | 925,000$ | 925,000$ | RFA | ||||||
Rhett Gardner | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
Ryan O'Rourke | D | 22 | 855,833$ | 855,833$ | RFA | ||||||
Samuel Bolduc | D | 23 | 800,000$ | 800,000$ | RFA | ||||||
Simon Edvinsson | D | 21 | 925,000$ | 925,000$ | RFA | ||||||
Trey Fix-Wolansky | RW | 25 | 775,000$ | 775,000$ | RFA | ||||||
Tyler Weiss | C/LW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Vyacheslav Butayets | G | 22 | 852,500$ | 852,500$ | 852,500$ | RFA | |||||
Xavier Simoneau | C/LW | 23 | 855,000$ | 855,000$ | RFA |
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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 | Admirals | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 2 | 5 | 4 | 0 | 26 | 56 | 56 | 52 | 0 | 26 | 13 | 6 | 22 | 0 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 115 | 218 | 52.75% | 111 | 209 | 53.11% | 46 | 94 | 48.94% | 162 | 111 | 164 | 51 | 93 | 45 | 40.0% | 7.7% | 84.6% | 92.3 | Unlucky |
2 | Moose | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 5 | 4 | 0 | 43 | 56 | 56 | 52 | 0 | 43 | 12 | 8 | 44 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 1 | 115 | 218 | 52.75% | 111 | 209 | 53.11% | 46 | 94 | 48.94% | 162 | 111 | 164 | 51 | 93 | 45 | 42.9% | 9.3% | 88.4% | 97.7 | FUN |
3 | Wolves | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 5 | 4 | 0 | 50 | 56 | 56 | 52 | 0 | 59 | 15 | 4 | 51 | 5 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 115 | 218 | 52.75% | 111 | 209 | 53.11% | 46 | 94 | 48.94% | 162 | 111 | 164 | 51 | 93 | 45 | 37.5% | 6.0% | 89.8% | 95.8 | Unlucky |
4 | Roadrunners | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 2 | 0 | 3 | 0.750 | 2 | 3 | 5 | 0 | 0 | 2 | 5 | 4 | 0 | 45 | 56 | 56 | 52 | 0 | 38 | 7 | 6 | 33 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 115 | 218 | 52.75% | 111 | 209 | 53.11% | 46 | 94 | 48.94% | 162 | 111 | 164 | 51 | 93 | 45 | 50.0% | 4.4% | 94.7% | 99.2 | DULL |
_Vs Division | 5 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 2 | 0.200 | 8 | 14 | 22 | 1 | 0 | 2 | 5 | 4 | 0 | 114 | 56 | 56 | 52 | 0 | 107 | 32 | 20 | 99 | 6 | 1 | 16.67% | 9 | 2 | 77.78% | 1 | 115 | 218 | 52.75% | 111 | 209 | 53.11% | 46 | 94 | 48.94% | 162 | 111 | 164 | 51 | 93 | 45 | 43.8% | 7.0% | 89.7% | 96.7 | Unlucky | |
_Vs Conference | 5 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 8 | 11 | -3 | 5 | 0.500 | 8 | 14 | 22 | 1 | 0 | 2 | 5 | 4 | 0 | 114 | 56 | 56 | 52 | 0 | 107 | 32 | 20 | 99 | 6 | 1 | 16.67% | 9 | 2 | 77.78% | 1 | 115 | 218 | 52.75% | 111 | 209 | 53.11% | 46 | 94 | 48.94% | 162 | 111 | 164 | 51 | 93 | 45 | 43.8% | 7.0% | 89.7% | 96.7 | Unlucky | |
_Since Last GM Reset | 7 | 2 | 4 | 0 | 0 | 1 | 0 | 0 | 11 | 17 | -6 | 5 | 0.357 | 11 | 20 | 31 | 1 | 0 | 2 | 5 | 4 | 0 | 164 | 56 | 56 | 52 | 0 | 166 | 47 | 24 | 150 | 11 | 1 | 9.09% | 11 | 3 | 72.73% | 1 | 115 | 218 | 52.75% | 111 | 209 | 53.11% | 46 | 94 | 48.94% | 162 | 111 | 164 | 51 | 93 | 45 | 41.7% | 6.7% | 89.8% | 96.5 | Unlucky | |
Total | 7 | 2 | 4 | 0 | 0 | 1 | 0 | 0 | 11 | 17 | -6 | 5 | 0.357 | 11 | 20 | 31 | 1 | 0 | 2 | 5 | 4 | 0 | 164 | 56 | 56 | 52 | 0 | 166 | 47 | 24 | 150 | 11 | 1 | 9.09% | 11 | 3 | 72.73% | 1 | 115 | 218 | 52.75% | 111 | 209 | 53.11% | 46 | 94 | 48.94% | 162 | 111 | 164 | 51 | 93 | 45 | 41.7% | 6.7% | 89.8% | 96.5 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 218 |
Neutral Zone Start | 94 |
Defensive Zone Start | 209 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 272 |
Faceoffs Lost | 249 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.0 | 9.57 |
2nd Period | 16.0 | 20.31 |
3rd Period | 23.4 | 30.68 |
Overtime | 23.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.3 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 1.6 | 2.67 |
Overtime | 1.6 | 2.83 |
Even Strenght Goal | 8 |
---|---|
PP Goal | 1 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 2 | 0 |
Lost | 1 | 3 |
Overtime Lost | 1 | 0 |
PP Attempt | 11 |
---|---|
PP Goal | 1 |
PK Attempt | 11 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 23.4 |
Shots Against | 23.7 |
Goals For | 1.6 |
Goals Against | 2.4 |
Hits | 21.4 |
Shots Blocked | 6.7 |
Pim | 3.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-09-07 | Roadrunners | @ | Stars | Roadrunners1,Stars0 (OT) | RECAP | |||||||||
2024-09-08 | Roadrunners | @ | Stars | Roadrunners1,Stars2 | RECAP | |||||||||
2024-09-12 | Stars | @ | Wolves | Stars1,Wolves3 | RECAP | |||||||||
2024-09-15 | Stars | @ | Admirals | Stars2,Admirals4 | RECAP | |||||||||
2024-09-16 | Stars | @ | Wolves | Stars2,Wolves3 | RECAP | |||||||||
2024-09-21 | Moose | @ | Stars | Moose2,Stars3 | RECAP | |||||||||
2024-09-22 | Moose | @ | Stars | Moose3,Stars1 | RECAP | |||||||||
2024-09-29 | Stars | @ | Wild | |||||||||||
2024-09-30 | Stars | @ | Wild | |||||||||||
2024-10-03 | Stars | @ | IceHogs | |||||||||||
2024-10-05 | Admirals | @ | Stars | |||||||||||
2024-10-06 | Admirals | @ | Stars | |||||||||||
2024-10-12 | Griffins | @ | Stars | |||||||||||
2024-10-13 | Griffins | @ | Stars | |||||||||||
2024-10-19 | Stars | @ | Eagles | |||||||||||
2024-10-20 | Stars | @ | Eagles | |||||||||||
2024-10-24 | Stars | @ | Gulls | |||||||||||
2024-10-26 | Stars | @ | Condors | |||||||||||
2024-10-27 | Stars | @ | Condors | |||||||||||
2024-11-02 | Wolves | @ | Stars | |||||||||||
2024-11-03 | Wolves | @ | Stars | |||||||||||
2024-11-07 | Stars | @ | Griffins | |||||||||||
2024-11-09 | Stars | @ | Griffins | |||||||||||
2024-11-10 | Stars | @ | Wolves | |||||||||||
2024-11-13 | Griffins | @ | Stars | |||||||||||
2024-11-14 | Griffins | @ | Stars | |||||||||||
2024-11-23 | Stars | @ | Moose | |||||||||||
2024-11-25 | Stars | @ | Moose | |||||||||||
2024-11-27 | Stars | @ | Wolves | |||||||||||
2024-11-30 | IceHogs | @ | Stars | |||||||||||
2024-12-01 | IceHogs | @ | Stars | |||||||||||
2024-12-08 | Wolves | @ | Stars | |||||||||||
2024-12-09 | Wolves | @ | Stars | |||||||||||
2024-12-14 | Stars | @ | Admirals | |||||||||||
2024-12-15 | Stars | @ | Admirals | |||||||||||
2024-12-17 | Stars | @ | Wild | |||||||||||
2024-12-19 | Stars | @ | Wild | |||||||||||
2024-12-21 | Firebirds | @ | Stars | |||||||||||
2024-12-22 | Firebirds | @ | Stars | |||||||||||
2024-12-28 | Condors | @ | Stars | |||||||||||
2024-12-29 | Condors | @ | Stars | |||||||||||
2025-01-04 | Stars | @ | IceHogs | |||||||||||
2025-01-05 | Stars | @ | Admirals | |||||||||||
2025-01-08 | Stars | @ | IceHogs | |||||||||||
2025-01-11 | Wild | @ | Stars | |||||||||||
2025-01-12 | Wild | @ | Stars | |||||||||||
2025-01-16 | Stars | @ | Griffins | |||||||||||
2025-01-18 | Stars | @ | IceHogs | |||||||||||
2025-01-19 | Stars | @ | Griffins | |||||||||||
2025-01-22 | Gulls | @ | Stars | |||||||||||
2025-01-23 | Gulls | @ | Stars | |||||||||||
2025-01-26 | Stars | @ | Moose | |||||||||||
2025-01-27 | Stars | @ | Moose | |||||||||||
2025-02-01 | Barracuda | @ | Stars | |||||||||||
2025-02-02 | Barracuda | @ | Stars | |||||||||||
2025-02-05 | IceHogs | @ | Stars | |||||||||||
2025-02-06 | IceHogs | @ | Stars | |||||||||||
Trade Deadline --- Trades canโt be done after this day is simulated! | ||||||||||||||
2025-02-09 | Stars | @ | Roadrunners | |||||||||||
2025-02-10 | Stars | @ | Roadrunners | |||||||||||
2025-02-13 | Stars | @ | Firebirds | |||||||||||
2025-02-15 | Stars | @ | Gulls | |||||||||||
2025-02-16 | Stars | @ | Firebirds | |||||||||||
2025-02-22 | Wild | @ | Stars | |||||||||||
2025-02-23 | Wild | @ | Stars | |||||||||||
2025-02-26 | Eagles | @ | Stars | |||||||||||
2025-02-27 | Eagles | @ | Stars | |||||||||||
2025-03-02 | Admirals | @ | Stars | |||||||||||
2025-03-03 | Admirals | @ | Stars | |||||||||||
2025-03-08 | Stars | @ | Barracuda | |||||||||||
2025-03-09 | Stars | @ | Barracuda | |||||||||||
2025-03-15 | Moose | @ | Stars | |||||||||||
2025-03-16 | Moose | @ | Stars |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,275,500$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Texas | |
Capacity | 8000 | |
Season Ticket Holders | 20% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 5000 | 3000 | |||
Ticket Price | 40$ | 20$ | $ | $ | $ |
Attendance | 14474 | 7478 | |||
Attendance PCT | 72.37% | 62.32% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
32 | 5488 - 68.60% | 105,635$ | 422,541$ | 8000 | 110 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,275,500$ | 2,275,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
355,825$ | 11,669$ | 291,725$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
3,380,328$ | 171 | 14,233$ | 2,419,610$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
2,419,610$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
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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