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Full Scoreboard »» |
![]() | Texas Stars 2-2-0, 4pts · 9th in Conference 2 |
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 | 99.00 | 60 | 40 | 79 | 73 | 70 | 75 | 65 | 67 | 42 | 62 | 65 | 64 | 68 | 54 | 50 | 1 | 50 | 64 | 27 | 1,000,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 66 | 41 | 73 | 72 | 77 | 76 | 64 | 67 | 46 | 62 | 63 | 62 | 67 | 56 | 50 | 1 | 50 | 64 | 23 | 1,000,000$/2yrs | |||
![]() | 0 | C | 99.00 | 63 | 41 | 73 | 68 | 63 | 65 | 63 | 64 | 44 | 63 | 58 | 64 | 63 | 50 | 50 | 1 | 50 | 61 | 22 | 870,000$/1yrs | |||
![]() | 0 | C/RW | 99.00 | 69 | 50 | 65 | 67 | 71 | 70 | 68 | 61 | 52 | 57 | 57 | 61 | 62 | 65 | 52 | 1 | 50 | 61 | 25 | 1,750,000$/3yrs | |||
![]() | 0 | LW | 99.00 | 62 | 42 | 72 | 62 | 66 | 68 | 67 | 60 | 53 | 60 | 54 | 60 | 59 | 55 | 50 | 1 | 50 | 59 | 27 | 1,000,000$/1yrs | |||
![]() | 0 | RW | 99.00 | 65 | 43 | 66 | 63 | 68 | 66 | 64 | 59 | 42 | 52 | 55 | 60 | 59 | 53 | 50 | 1 | 50 | 58 | 25 | 1,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 62 | 42 | 70 | 62 | 65 | 66 | 64 | 60 | 49 | 58 | 53 | 58 | 58 | 53 | 50 | 1 | 50 | 58 | 25 | 1,000,000$/3yrs | |||
![]() | 0 | C | 100.00 | 59 | 41 | 64 | 60 | 60 | 62 | 60 | 59 | 56 | 56 | 56 | 58 | 58 | 52 | 50 | 1 | 50 | 57 | 26 | 1,000,000$/2yrs | |||
![]() | 0 | LW | 99.00 | 52 | 42 | 60 | 56 | 57 | 64 | 62 | 57 | 41 | 52 | 52 | 50 | 55 | 55 | 50 | 1 | 50 | 54 | 28 | 1,525,000$/2yrs | |||
![]() | 0 | D | 100.00 | 62 | 40 | 79 | 73 | 82 | 82 | 67 | 68 | 40 | 62 | 63 | 72 | 68 | 56 | 50 | 1 | 50 | 68 | 28 | 1,250,000$/1yrs | |||
![]() | 0 | D | 99.00 | 64 | 47 | 64 | 68 | 72 | 71 | 65 | 64 | 40 | 60 | 57 | 65 | 63 | 59 | 50 | 1 | 50 | 63 | 23 | 975,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 43 | 68 | 66 | 70 | 69 | 65 | 62 | 40 | 57 | 56 | 68 | 61 | 53 | 50 | 1 | 50 | 63 | 26 | 975,000$/1yrs | |||
![]() | 0 | D | 99.00 | 54 | 43 | 67 | 70 | 56 | 69 | 68 | 63 | 40 | 63 | 54 | 68 | 62 | 59 | 54 | 1 | 50 | 62 | 29 | 1,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 64 | 45 | 64 | 62 | 69 | 70 | 69 | 62 | 40 | 58 | 53 | 66 | 59 | 57 | 50 | 1 | 50 | 62 | 28 | 1,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 44 | 67 | 65 | 65 | 66 | 64 | 61 | 40 | 59 | 53 | 66 | 60 | 53 | 50 | 1 | 50 | 61 | 25 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 44 | 66 | 65 | 65 | 67 | 66 | 61 | 40 | 55 | 51 | 62 | 59 | 54 | 50 | 1 | 50 | 60 | 26 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 40 | 69 | 60 | 73 | 61 | 58 | 56 | 40 | 52 | 52 | 64 | 56 | 51 | 50 | 1 | 50 | 59 | 23 | 975,000$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 40 | 66 | 64 | 64 | 62 | 60 | 53 | 40 | 51 | 50 | 63 | 56 | 54 | 50 | 1 | 50 | 58 | 26 | 1,000,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 59 | 41 | 59 | 62 | 56 | 59 | 57 | 55 | 53 | 54 | 53 | 60 | 56 | 53 | 50 | 1 | 50 | 56 | 26 | 1,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 59 | 40 | 68 | 60 | 62 | 63 | 62 | 58 | 41 | 54 | 55 | 54 | 58 | 51 | 50 | 1 | 50 | 56 | 24 | 1,000,000$/3yrs | |||
![]() | 0 | C | 100.00 | 59 | 41 | 66 | 61 | 61 | 61 | 60 | 58 | 41 | 54 | 55 | 54 | 58 | 50 | 50 | 1 | 50 | 56 | 21 | 900,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 57 | 40 | 66 | 62 | 57 | 60 | 58 | 56 | 40 | 54 | 53 | 59 | 57 | 51 | 50 | 1 | 50 | 56 | 24 | 975,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 55 | 42 | 70 | 58 | 65 | 71 | 69 | 59 | 41 | 52 | 53 | 51 | 56 | 63 | 53 | 1 | 50 | 56 | 30 | 1,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 60 | 40 | 66 | 58 | 62 | 60 | 58 | 55 | 40 | 53 | 54 | 55 | 56 | 51 | 50 | 1 | 50 | 55 | 24 | 1,000,000$/3yrs | |||
![]() | 0 | C | 100.00 | 56 | 41 | 66 | 58 | 60 | 59 | 57 | 56 | 54 | 56 | 52 | 53 | 55 | 51 | 50 | 1 | 50 | 55 | 23 | 1,000,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 54 | 41 | 60 | 55 | 58 | 61 | 60 | 57 | 43 | 53 | 54 | 51 | 55 | 58 | 50 | 1 | 50 | 54 | 29 | 2,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 56 | 40 | 71 | 65 | 61 | 64 | 62 | 55 | 40 | 52 | 50 | 61 | 57 | 55 | 50 | 1 | 50 | 58 | 27 | 1,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 63 | 40 | 62 | 58 | 67 | 58 | 57 | 54 | 40 | 53 | 53 | 61 | 55 | 50 | 50 | 1 | 50 | 57 | 22 | 854,910$/2yrs |
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 | 64 | 56 | 56 | 66 | 62 | 60 | 61 | 58 | 62 | 60 | 51 | 52 | 50 | 1 | 50 | 56 | 24 | 1,000,000$/3yrs |
![]() | 0 | 100.00 | 63 | 56 | 56 | 60 | 60 | 58 | 58 | 56 | 59 | 59 | 51 | 50 | 50 | 1 | 50 | 54 | 22 | 1,000,000$/3yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 61 | 57 | 57 | 62 | 59 | 57 | 56 | 54 | 57 | 59 | 54 | 51 | 50 | 1 | 50 | 53 | 24 | 1,000,000$/3yrs |
![]() | 0 | 100.00 | 53 | 48 | 48 | 54 | 50 | 47 | 46 | 44 | 47 | 50 | 44 | 50 | 50 | 1 | 50 | 46 | 22 | 1,000,000$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dan Bylsma | 79 | 82 | 81 | 89 | 79 | 73 | 1 | USA | 54 | 3 | 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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | MacKenzie Entwistle | ![]() | C/RW | 4 | 2 | 1 | 3 | 1 | 0 | 0 | 7 | 9 | 3 | 4 | 22.22% | 2 | 23.77 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 44.07% | 0 | 0 | 0.75 | 1 | 1 | 0.82 | |||
2 | Nikita Nesterenko | ![]() | C/LW | 4 | 1 | 2 | 3 | 0 | 0 | 0 | 4 | 7 | 1 | 1 | 14.29% | 0 | 18.18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 0 | 0 | 0.75 | 0 | 0 | 0.66 | |||
3 | Logan Morrison | ![]() | C | 4 | 0 | 2 | 2 | 0 | 0 | 0 | 8 | 3 | 2 | 2 | 0.00% | 0 | 19.82 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 44.44% | 0 | 0 | 0.50 | 0 | 0 | 0.40 | |||
4 | Joona Koppanen | ![]() | LW | 4 | 1 | 1 | 2 | 1 | 0 | 0 | 5 | 2 | 0 | 0 | 50.00% | 2 | 17.57 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 0 | 0 | 0.50 | 0 | 0 | 0.53 | |||
5 | Isaak Phillips | ![]() | D | 4 | 1 | 1 | 2 | -1 | 2 | 0 | 6 | 3 | 3 | 2 | 33.33% | 4 | 26.02 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.33 | |||
6 | Ethen Frank | ![]() | C | 4 | 0 | 2 | 2 | -3 | 0 | 0 | 6 | 4 | 7 | 2 | 0.00% | 2 | 23.12 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 28.57% | 0 | 0 | 0.50 | 0 | 1 | 0.19 | |||
7 | Joe Hicketts | ![]() | D | 4 | 0 | 1 | 1 | 0 | 4 | 0 | 1 | 3 | 0 | 3 | 0.00% | 6 | 22.83 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.13 | |||
8 | Dino Kambeitz | ![]() | RW | 4 | 1 | 0 | 1 | -1 | 7 | 5 | 3 | 5 | 0 | 2 | 20.00% | 0 | 17.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.25 | 0 | 0 | -0.09 | |||
9 | Noah Philp | ![]() | C | 4 | 0 | 1 | 1 | 1 | 4 | 0 | 5 | 2 | 0 | 1 | 0.00% | 1 | 14.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35.29% | 0 | 0 | 0.25 | 0 | 0 | 0.13 | |||
10 | Luke Prokop | ![]() | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0.00% | 1 | 13.10 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | |||
11 | Austin Wagner | ![]() | LW | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 3 | 0 | 0 | 0.00% | 1 | 17.84 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | 0.20 | |||
12 | Joseph Cecconi | ![]() | D | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 0 | 0 | 1 | 0.00% | 3 | 16.23 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.06 | |||
13 | Cameron Crotty | ![]() | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 5.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | |||
14 | Ryan Shea | ![]() | D | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 1 | 1 | 0 | 0.00% | 5 | 22.50 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.03 | |||
15 | Cole Clayton | ![]() | D | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.09 | |||
16 | Marc McLaughlin | ![]() | C/LW/RW | 4 | 0 | 0 | 0 | -2 | 2 | 0 | 2 | 3 | 2 | 0 | 0.00% | 1 | 18.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 0 | 0 | 0.00 | 0 | 0 | -0.18 | |||
17 | Jake Livingstone | ![]() | D | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 2 | 0 | 1 | 0.00% | 4 | 21.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.15 | |||
18 | Tyler Inamoto | ![]() | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
Team Total or Average | 72 | 6 | 11 | 17 | -5 | 19 | 5 | 70 | 47 | 19 | 19 | 12.77% | 32 | 16.73 | 1 | 2 | 3 | 48 | 0 | 0 | 0 | 40 | 1 | 0 | 41.73% | 139 | 14 | 27 | 0 | 0 | 0.28 | 1 | 2 |
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 | Ben Kraws | ![]() | 4 | 2 | 2 | 0 | 0.909 | 1.96 | 245 | 0 | 0 | 8 | 88 | 55 | 0 | 0 | 1.000 | 3 | 4 | 0 | 0 | 1 | 0 |
Team Total or Average | 4 | 2 | 2 | 0 | 0.909 | 1.96 | 245 | 0 | 0 | 8 | 88 | 55 | 0 | 0 | 1.000 | 3 | 4 | 0 | 0 | 1 | 0 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Austin Wagner | LW | 28 | 1,525,000$ | 1,525,000$ | 1,525,000$ | UFA | |||||
Ben Kraws | G | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Brett Brochu | G | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Bryce Montgomery | D | 22 | 854,910$ | 975,000$ | 975,000$ | RFA | |||||
Cameron Crotty | D | 26 | 950,000$ | 975,000$ | |||||||
Cole Clayton | D | 25 | 950,000$ | 975,000$ | |||||||
Dalton Bancroft | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Dante Giannuzzi | G | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Dennis Cesana | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Dino Kambeitz | RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Drew Callin | C/LW/RW | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Ethan Langenegger | G | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Ethen Frank | C | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Isaak Phillips | D | 23 | 975,000$ | 975,000$ | |||||||
Jack Malone | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Jake Livingstone | D | 26 | 975,000$ | 975,000$ | |||||||
Jimmy Huntington | C | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Joe Hicketts | D | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Joel L'Esperance | RW | 29 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Joona Koppanen | LW | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Joseph Cecconi | D | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Logan Morrison | C | 22 | 870,000$ | 975,000$ | RFA | ||||||
Luke Prokop | D | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
MacKenzie Entwistle | C/RW | 25 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | ||||
Marc McLaughlin | C/LW/RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Nikita Nesterenko | C/LW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Noah Philp | C | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Paul Ludwinski | C | 21 | 900,000$ | 975,000$ | 975,000$ | RFA | |||||
Philippe Daoust | C | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Rhett Pitlick | C/LW/RW | 24 | 975,000$ | 975,000$ | |||||||
Ryan Shea | D | 28 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Tyler Inamoto | D | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA |
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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 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 1 | 4 | 14 | 18 | 15 | 2 | 15 | 7 | 2 | 21 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 14 | 39 | 35.90% | 25 | 59 | 42.37% | 19 | 39 | 48.72% | 66 | 23 | 79 | 44 | 99 | 48 | 0.0% | 0.0% | 86.7% | 86.7 | Unlucky |
2 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 0 | 4 | 2 | 1 | 40 | 14 | 18 | 15 | 2 | 59 | 16 | 13 | 36 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 0 | 14 | 39 | 35.90% | 25 | 59 | 42.37% | 19 | 39 | 48.72% | 66 | 23 | 79 | 44 | 99 | 48 | 50.0% | 12.5% | 91.5% | 104.0 | LUCKY |
3 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 1 | 3 | 0 | 0 | 0 | 4 | 2 | 1 | 3 | 14 | 18 | 15 | 2 | 14 | 9 | 4 | 13 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 14 | 39 | 35.90% | 25 | 59 | 42.37% | 19 | 39 | 48.72% | 66 | 23 | 79 | 44 | 99 | 48 | 100.0% | 66.7% | 92.9% | 159.5 | LUCKY |
_Vs Division | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 1 | 3 | 0 | 0 | 0 | 4 | 2 | 1 | 3 | 14 | 18 | 15 | 2 | 14 | 9 | 4 | 13 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 14 | 39 | 35.90% | 25 | 59 | 42.37% | 19 | 39 | 48.72% | 66 | 23 | 79 | 44 | 99 | 48 | 100.0% | 66.7% | 92.9% | 159.5 | LUCKY | |
_Vs Conference | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 1 | 3 | 0 | 0 | 0 | 4 | 2 | 1 | 7 | 14 | 18 | 15 | 2 | 29 | 16 | 6 | 34 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 14 | 39 | 35.90% | 25 | 59 | 42.37% | 19 | 39 | 48.72% | 66 | 23 | 79 | 44 | 99 | 48 | 50.0% | 28.6% | 89.7% | 118.2 | FUN | |
_Since Last GM Reset | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 7 | 8 | -1 | 4 | 0.500 | 7 | 11 | 18 | 0 | 0 | 0 | 4 | 2 | 1 | 47 | 14 | 18 | 15 | 2 | 88 | 32 | 19 | 70 | 6 | 1 | 16.67% | 7 | 2 | 71.43% | 0 | 14 | 39 | 35.90% | 25 | 59 | 42.37% | 19 | 39 | 48.72% | 66 | 23 | 79 | 44 | 99 | 48 | 50.0% | 14.9% | 90.9% | 105.8 | FUN | |
Total | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 7 | 8 | -1 | 4 | 0.500 | 7 | 11 | 18 | 0 | 0 | 0 | 4 | 2 | 1 | 47 | 14 | 18 | 15 | 2 | 88 | 32 | 19 | 70 | 6 | 1 | 16.67% | 7 | 2 | 71.43% | 0 | 14 | 39 | 35.90% | 25 | 59 | 42.37% | 19 | 39 | 48.72% | 66 | 23 | 79 | 44 | 99 | 48 | 50.0% | 14.9% | 90.9% | 105.8 | FUN |
Puck Time | |
---|---|
Offensive Zone | 16 |
Neutral Zone | 24 |
Defensive Zone | 19 |
Puck Time | |
---|---|
Offensive Zone Start | 39 |
Neutral Zone Start | 39 |
Defensive Zone Start | 59 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 58 |
Faceoffs Lost | 79 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 3.5 | 9.57 |
2nd Period | 8.0 | 20.31 |
3rd Period | 11.8 | 30.68 |
Overtime | 12.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 1.5 | 2.67 |
Overtime | 1.8 | 2.83 |
Even Strenght Goal | 6 |
---|---|
PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 0 |
Lost | 0 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 6 |
---|---|
PP Goal | 1 |
PK Attempt | 7 |
PK Goal Against | 2 |
Home | |
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Shots For | 11.8 |
Shots Against | 22.0 |
Goals For | 1.8 |
Goals Against | 2.0 |
Hits | 17.5 |
Shots Blocked | 8.0 |
Pim | 4.8 |
Date | Matchup | Result | Detail | |||||||||||
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Wed, Oct 8 | ![]() | @ | ![]() | DAL1,PIT4 | RECAP | |||||||||
Fri, Oct 10 | ![]() | @ | ![]() | PIT1,DAL4 | RECAP | |||||||||
Mon, Oct 13 | ![]() | @ | ![]() | CHI1,DAL2 (SO) | RECAP | |||||||||
Wed, Oct 15 | ![]() | @ | ![]() | DAL0,CHI2 | RECAP | |||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,480,000$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Texas | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 0 | 0 | |||
Attendance PCT | 0.00% | 0.00% | 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 |
39 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,480,000$ | 3,480,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
188,400$ | 0$ | 164,736$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 184 | 23,550$ | 3,791,550$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
3,791,550$ | 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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