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Full Scoreboard »» |
San Antonio Rampage Team Overall:64 1-1-0, 2pts · 5th in Conférence Ouest |
Player | # | POS | CON | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 31 | 65 | 36 | 84 | 74 | 79 | 87 | 85 | 72 | 56 | 71 | 65 | 83 | 73 | 79 | 72 | 0 | 40 | 75 | 100.00 | 5,250,000$/1yrs | ||
![]() | 0 | LW/RW | 100.00 | 33 | 61 | 34 | 85 | 72 | 69 | 86 | 90 | 75 | 58 | 73 | 74 | 64 | 75 | 76 | 77 | 0 | 40 | 74 | 100.00 | 5,000,000$/2yrs | ||
![]() | 0 | C | 100.00 | 29 | 85 | 39 | 79 | 64 | 81 | 85 | 88 | 65 | 84 | 67 | 66 | 86 | 63 | 71 | 69 | 0 | 40 | 73 | 100.00 | 2,500,000$/3yrs | ||
![]() | 0 | C/LW | 100.00 | 26 | 74 | 39 | 87 | 64 | 80 | 84 | 88 | 64 | 76 | 62 | 63 | 81 | 64 | 68 | 70 | 0 | 40 | 71 | 100.00 | 1,500,000$/1yrs | ||
![]() | 0 | C/LW | 100.00 | 28 | 64 | 59 | 81 | 71 | 70 | 82 | 86 | 67 | 69 | 70 | 65 | 59 | 71 | 72 | 68 | 0 | 40 | 71 | 100.00 | 1,500,000$/1yrs | ||
![]() | 0 | C/RW | 100.00 | 22 | 64 | 37 | 92 | 70 | 73 | 78 | 79 | 67 | 71 | 62 | 68 | 59 | 67 | 63 | 64 | 0 | 40 | 70 | 100.00 | 1,633,333$/1yrs | ||
![]() | 0 | C/RW | 100.00 | 24 | 90 | 78 | 73 | 63 | 88 | 79 | 87 | 64 | 55 | 63 | 66 | 58 | 64 | 66 | 65 | 0 | 40 | 70 | 100.00 | 845,000$/3yrs | ||
![]() | 0 | RW | 100.00 | 24 | 74 | 37 | 86 | 63 | 83 | 79 | 82 | 66 | 54 | 63 | 65 | 67 | 62 | 65 | 67 | 0 | 40 | 70 | 100.00 | 894,166$/1yrs | ||
![]() | 0 | C | 100.00 | 22 | 62 | 34 | 82 | 68 | 73 | 78 | 91 | 66 | 73 | 65 | 67 | 63 | 68 | 63 | 66 | 0 | 40 | 70 | 100.00 | 925,000$/2yrs | ||
![]() | 0 | C/LW/RW | 100.00 | 26 | 65 | 36 | 82 | 64 | 70 | 81 | 83 | 63 | 74 | 62 | 61 | 76 | 64 | 66 | 67 | 0 | 40 | 69 | 100.00 | 925,000$/1yrs | ||
![]() | 0 | C/RW | 100.00 | 21 | 75 | 38 | 82 | 67 | 73 | 83 | 88 | 65 | 77 | 63 | 59 | 60 | 66 | 62 | 64 | 0 | 40 | 69 | 100.00 | 1,400,833$/2yrs | ||
![]() | 0 | LW | 100.00 | 24 | 86 | 40 | 87 | 61 | 83 | 77 | 88 | 59 | 53 | 58 | 60 | 63 | 57 | 64 | 66 | 0 | 40 | 68 | 100.00 | 773,333$/1yrs | ||
![]() | 0 | D | 100.00 | 29 | 70 | 57 | 74 | 63 | 92 | 90 | 89 | 61 | 30 | 74 | 58 | 84 | 51 | 72 | 71 | 0 | 40 | 72 | 100.00 | 1,450,000$/1yrs | ||
![]() | 0 | D | 100.00 | 24 | 71 | 45 | 83 | 65 | 84 | 90 | 82 | 57 | 30 | 71 | 55 | 83 | 47 | 65 | 67 | 0 | 40 | 70 | 100.00 | 888,333$/1yrs | ||
![]() | 0 | D | 100.00 | 24 | 86 | 53 | 78 | 65 | 77 | 86 | 79 | 63 | 30 | 70 | 57 | 72 | 51 | 64 | 65 | 0 | 40 | 70 | 100.00 | 900,000$/1yrs | ||
![]() | 0 | D | 100.00 | 27 | 87 | 39 | 83 | 62 | 82 | 86 | 85 | 59 | 30 | 68 | 56 | 77 | 51 | 68 | 67 | 0 | 40 | 70 | 100.00 | 1,150,000$/1yrs | ||
![]() | 0 | D | 100.00 | 21 | 63 | 38 | 77 | 66 | 72 | 87 | 85 | 67 | 30 | 66 | 62 | 64 | 53 | 62 | 63 | 0 | 40 | 69 | 100.00 | 925,000$/3yrs | ||
![]() | 0 | D | 100.00 | 27 | 77 | 89 | 61 | 59 | 96 | 74 | 83 | 57 | 30 | 60 | 58 | 66 | 51 | 68 | 70 | 0 | 40 | 68 | 100.00 | 808,333$/2yrs | ||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 24 | 62 | 37 | 88 | 67 | 73 | 84 | 87 | 64 | 79 | 67 | 63 | 61 | 62 | 65 | 67 | 0 | 40 | 70 | 100.00 | 700,000$/1yrs | ||
![]() | 0 | C | 100.00 | 22 | 63 | 38 | 77 | 65 | 67 | 81 | 78 | 64 | 72 | 63 | 62 | 61 | 65 | 63 | 64 | 0 | 40 | 68 | 100.00 | 925,000$/1yrs | ||
![]() | 0 | C | 100.00 | 30 | 59 | 34 | 91 | 64 | 60 | 81 | 84 | 63 | 79 | 64 | 58 | 63 | 66 | 70 | 72 | 0 | 40 | 68 | 100.00 | 775,000$/1yrs | ||
![]() | 0 | C | 100.00 | 23 | 79 | 34 | 82 | 64 | 70 | 84 | 67 | 63 | 78 | 64 | 65 | 56 | 62 | 63 | 64 | 0 | 40 | 68 | 100.00 | 1,350,000$/1yrs | ||
![]() | 0 | C | 100.00 | 22 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 863,333$/1yrs | ||
![]() | 0 | C/LW | 100.00 | 24 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 750,000$/1yrs | ||
![]() | 0 | D | 100.00 | 20 | 67 | 37 | 90 | 61 | 76 | 82 | 81 | 59 | 30 | 60 | 57 | 58 | 52 | 61 | 63 | 0 | 40 | 66 | 100.00 | 905,000$/3yrs | ||
![]() | 0 | D | 100.00 | 21 | 66 | 34 | 76 | 60 | 75 | 65 | 73 | 53 | 30 | 55 | 54 | 56 | 45 | 62 | 64 | 0 | 40 | 64 | 100.00 | 1,044,167$/2yrs | ||
![]() | 0 | D | 100.00 | 26 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 742,500$/1yrs | ||
TEAM AVERAGE | 100.00 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | AGE | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 25 | 82 | 89 | 92 | 82 | 82 | 81 | 66 | 75 | 0 | 40 | 71 | 925,000$/2yrs | ||||||||
![]() | 0 | 100.00 | 23 | 77 | 84 | 86 | 77 | 77 | 76 | 64 | 71 | 0 | 40 | 67 | 910,833$/1yrs | ||||||||
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 100.00 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Gerard Gallant | 78 | 83 | 79 | 77 | 88 | 82 | 58 | CAN | 59 | 1 | 525,000$ |
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 | Sean Kuraly | C | 2 | 2 | 1 | 3 | 1 | 7 | 5 | 7 | 11 | 4 | 4 | 18.18% | 0 | 17.50 | 2 | 0 | 2 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 49 | 0 | 0 | 0 | 0 | 1.71 | 0 | 0 | |||
2 | Evgenii Dadonov | LW/RW | 2 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 6 | 5 | 7 | 16.67% | 0 | 18.67 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 1.07 | 0 | 0 | |||
3 | Jonas Siegenthaler | D | 2 | 0 | 2 | 2 | -1 | 0 | 0 | 1 | 1 | 0 | 2 | 0.00% | 4 | 24.61 | 0 | 1 | 1 | 8 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | |||
4 | Robert Hagg | D | 2 | 0 | 2 | 2 | 1 | 7 | 5 | 5 | 2 | 1 | 1 | 0.00% | 7 | 19.30 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.04 | 0 | 0 | |||
5 | J.J. Moser | D | 2 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 5 | 1 | 3 | 0.00% | 2 | 15.78 | 0 | 1 | 1 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.27 | 0 | 0 | |||
6 | Jakob Silfverberg | LW/RW | 2 | 1 | 0 | 1 | 1 | 2 | 0 | 1 | 6 | 1 | 10 | 16.67% | 1 | 22.16 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 9 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |||
7 | Jason Dickinson | C/LW | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 4 | 2 | 4 | 0.00% | 0 | 16.79 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 0 | 0 | 48.94% | 47 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |||
8 | Nick Cousins | C/LW | 2 | 0 | 1 | 1 | 0 | 2 | 0 | 1 | 4 | 2 | 2 | 0.00% | 0 | 16.41 | 0 | 1 | 1 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |||
9 | Riley Stillman | D | 2 | 1 | 0 | 1 | -1 | 2 | 0 | 6 | 1 | 0 | 1 | 100.00% | 1 | 19.82 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |||
10 | Scott Mayfield | D | 2 | 0 | 1 | 1 | 1 | 5 | 5 | 2 | 3 | 1 | 0 | 0.00% | 2 | 23.22 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |||
11 | Taylor Raddysh | RW | 2 | 1 | 0 | 1 | 0 | 2 | 0 | 4 | 3 | 2 | 2 | 33.33% | 0 | 17.38 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 3 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |||
12 | Beck Malenstyn | LW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 1 | 7.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
13 | Emil Bemstrom | C/RW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 3 | 0 | 3 | 0.00% | 0 | 14.23 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 34 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
14 | Kurtis MacDermid | D | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 7 | 0 | 1 | 0 | 0.00% | 3 | 17.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
15 | Matthew Highmore | C/LW/RW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 1 | 0 | 1 | 0.00% | 0 | 12.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
16 | Nathan Bastian | C/RW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 3 | 1 | 0 | 0.00% | 0 | 13.11 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 83.33% | 6 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
17 | Ty Dellandrea | C/RW | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 0 | 1 | 0.00% | 0 | 7.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
18 | Jacob Peterson | C | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 4 | 0 | 1 | 0.00% | 1 | 7.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 16 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
Team Total or Average | 36 | 6 | 11 | 17 | 0 | 33 | 15 | 41 | 60 | 22 | 42 | 10.00% | 22 | 16.21 | 2 | 3 | 5 | 93 | 0 | 0 | 0 | 56 | 1 | 0 | 50.89% | 169 | 0 | 0 | 0 | 0 | 0.58 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Karel Vejmelka | 2 | 1 | 1 | 0 | 0.904 | 2.50 | 120 | 0 | 0 | 5 | 52 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 | |
Team Total or Average | 2 | 1 | 1 | 0 | 0.904 | 2.50 | 120 | 0 | 0 | 5 | 52 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 0$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 0 |
LTIR Players | 0 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anton Lindholm | D | 26 | 742,500$ | 742,500$ | |||||||
Beck Malenstyn | LW | 24 | 773,333$ | 773,333$ | |||||||
Connor Dewar | C | 22 | 925,000$ | 925,000$ | |||||||
Emil Bemstrom | C/RW | 22 | 1,633,333$ | 1,633,333$ | |||||||
Evgenii Dadonov | LW/RW | 33 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
| 0$ | 0$ | |||||||||
J.J. Moser | D | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Jacob Peterson | C | 22 | 925,000$ | 925,000$ | 925,000$ | ||||||
Jakob Silfverberg | LW/RW | 31 | 5,250,000$ | 5,250,000$ | |||||||
Jason Dickinson | C/LW | 26 | 1,500,000$ | 1,500,000$ | |||||||
Jett Woo | D | 21 | 1,044,167$ | 1,044,167$ | 1,044,167$ | ||||||
Jonas Siegenthaler | D | 24 | 888,333$ | 888,333$ | |||||||
| 0$ | 0$ | |||||||||
Kurtis MacDermid | D | 27 | 875,000$ | 875,000$ | 875,000$ | ||||||
Matthew Highmore | C/LW/RW | 26 | 925,000$ | 925,000$ | |||||||
Nathan Bastian | C/RW | 24 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | |||||
Nathan Smith | C | 23 | 1,350,000$ | 1,350,000$ | |||||||
Nick Cousins | C/LW | 28 | 1,500,000$ | 1,500,000$ | |||||||
Pascal Laberge | C | 22 | 863,333$ | 863,333$ | |||||||
Riley Stillman | D | 24 | 900,000$ | 900,000$ | |||||||
Robert Hagg | D | 27 | 1,150,000$ | 1,150,000$ | |||||||
Scott Mayfield | D | 29 | 1,450,000$ | 1,450,000$ | |||||||
Sean Kuraly | C | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | |||||
T.J. Tynan | C | 30 | 750,000$ | 750,000$ | |||||||
Taylor Raddysh | RW | 24 | 894,166$ | 894,166$ | |||||||
Thomas Novak | C | 24 | 700,000$ | 700,000$ | |||||||
Ty Dellandrea | C/RW | 21 | 1,400,833$ | 1,400,833$ | 1,400,833$ | ||||||
Vladislav Kamenev | C/LW | 24 | 750,000$ | 750,000$ | |||||||
Vladislav Kolyachonok | D | 20 | 905,000$ | 905,000$ | 905,000$ | 905,000$ |
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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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 4 | 1 | 0 | 60 | 15 | 17 | 28 | 0 | 52 | 22 | 33 | 41 | 13 | 2 | 15.38% | 8 | 1 | 87.50% | 0 | 42 | 81 | 51.85% | 30 | 59 | 50.85% | 14 | 29 | 48.28% | 48 | 34 | 46 | 15 | 25 | 12 | 50.0% | 10.0% | 90.4% | 100.4 | FUN | |
_Since Last GM Reset | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 4 | 1 | 0 | 60 | 15 | 17 | 28 | 0 | 52 | 22 | 33 | 41 | 13 | 2 | 15.38% | 8 | 1 | 87.50% | 0 | 42 | 81 | 51.85% | 30 | 59 | 50.85% | 14 | 29 | 48.28% | 48 | 34 | 46 | 15 | 25 | 12 | 50.0% | 10.0% | 90.4% | 100.4 | FUN | |
Total | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 4 | 1 | 0 | 60 | 15 | 17 | 28 | 0 | 52 | 22 | 33 | 41 | 13 | 2 | 15.38% | 8 | 1 | 87.50% | 0 | 42 | 81 | 51.85% | 30 | 59 | 50.85% | 14 | 29 | 48.28% | 48 | 34 | 46 | 15 | 25 | 12 | 50.0% | 10.0% | 90.4% | 100.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 81 |
Neutral Zone Start | 29 |
Defensive Zone Start | 59 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 86 |
Faceoffs Lost | 83 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.5 | 9.57 |
2nd Period | 16.0 | 20.31 |
3rd Period | 30.0 | 30.68 |
Overtime | 30.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 4 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 1 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 13 |
---|---|
PP Goal | 2 |
PK Attempt | 8 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 30.0 |
Shots Against | 26.0 |
Goals For | 3.0 |
Goals Against | 2.5 |
Hits | 20.5 |
Shots Blocked | 11.0 |
Pim | 16.5 |
Date | Matchup | Result | Detail | ||
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2023-03-21 | @ | Rampage5,Islanders1 | RECAP | ||
2023-03-23 | @ | Rampage1,Islanders4 | RECAP | ||
2023-03-25 | @ | ||||
2023-03-27 | @ | ||||
2023-03-29 | @ | ||||
2023-03-31 | @ | ||||
2023-04-02 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
37,567,496$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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![]() | Name | |
City | San Antonio | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
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 |
0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
37,567,496$ | 37,545,828$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 10 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 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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