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Full Scoreboard »» |
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Full Scoreboard »» |
Springfield Thunderbirds 1-0-0, 2pts · 3rd in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 67 | 39 | 80 | 58 | 69 | 72 | 71 | 69 | 39 | 67 | 58 | 72 | 63 | 79 | 77 | 0 | 74 | 75 | 32 | 780,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 69 | 40 | 76 | 56 | 75 | 72 | 84 | 71 | 85 | 60 | 61 | 74 | 60 | 82 | 80 | 0 | 72 | 74 | 35 | 775,000$/1yrs | |||
![]() | 9 | C | 100.00 | 64 | 39 | 84 | 59 | 80 | 70 | 71 | 65 | 37 | 62 | 61 | 69 | 62 | 72 | 70 | 0 | 53 | 73 | 27 | 775,000$/2yrs | |||
![]() | 0 | RW | 99.00 | 80 | 40 | 80 | 57 | 75 | 75 | 76 | 60 | 58 | 60 | 59 | 67 | 60 | 78 | 76 | 0 | 64 | 72 | 31 | 850,000$/1yrs | |||
![]() | 0 | C | 100.00 | 72 | 40 | 71 | 54 | 77 | 67 | 70 | 67 | 73 | 56 | 57 | 70 | 56 | 73 | 71 | 0 | 73 | 71 | 29 | 800,000$/1yrs | |||
![]() | 0 | C | 100.00 | 68 | 40 | 78 | 52 | 81 | 67 | 68 | 69 | 72 | 56 | 55 | 72 | 56 | 77 | 75 | 0 | 73 | 71 | 31 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 62 | 38 | 88 | 53 | 70 | 67 | 67 | 68 | 71 | 57 | 55 | 71 | 56 | 75 | 74 | 0 | 73 | 71 | 29 | 800,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 77 | 41 | 62 | 53 | 80 | 65 | 69 | 65 | 45 | 54 | 55 | 69 | 54 | 70 | 66 | 0 | 73 | 69 | 26 | 800,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 90 | 43 | 50 | 51 | 82 | 64 | 67 | 66 | 49 | 53 | 53 | 70 | 53 | 71 | 66 | 0 | 73 | 69 | 28 | 775,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 86 | 33 | 86 | 55 | 82 | 72 | 69 | 50 | 73 | 57 | 50 | 67 | 50 | 80 | 79 | 0 | 73 | 69 | 32 | 850,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 80 | 51 | 80 | 55 | 75 | 67 | 71 | 53 | 76 | 53 | 56 | 62 | 55 | 82 | 80 | 0 | 79 | 68 | 33 | 775,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 68 | 38 | 77 | 54 | 63 | 64 | 67 | 62 | 38 | 54 | 54 | 66 | 54 | 64 | 62 | 0 | 27 | 67 | 24 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 59 | 39 | 93 | 54 | 79 | 63 | 67 | 61 | 48 | 52 | 56 | 65 | 54 | 63 | 62 | 0 | 27 | 67 | 23 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 89 | 36 | 83 | 55 | 80 | 81 | 79 | 55 | 30 | 56 | 52 | 75 | 54 | 72 | 70 | 0 | 44 | 72 | 28 | 775,000$/1yrs | |||
![]() | 41 | D | 100.00 | 69 | 40 | 81 | 55 | 73 | 83 | 80 | 52 | 30 | 59 | 55 | 63 | 54 | 82 | 80 | 0 | 56 | 71 | 33 | 787,500$/1yrs | |||
![]() | 57 | D | 100.00 | 65 | 32 | 97 | 55 | 75 | 79 | 73 | 53 | 30 | 63 | 57 | 58 | 55 | 76 | 75 | 0 | 52 | 71 | 30 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 69 | 63 | 55 | 77 | 78 | 83 | 54 | 30 | 58 | 53 | 64 | 54 | 74 | 70 | 0 | 78 | 70 | 29 | 1,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 70 | 40 | 74 | 54 | 74 | 67 | 67 | 52 | 30 | 60 | 54 | 69 | 57 | 70 | 67 | 0 | 73 | 70 | 26 | 775,000$/1yrs | |||
![]() | 55 | D | 100.00 | 63 | 33 | 90 | 55 | 80 | 81 | 76 | 51 | 30 | 54 | 56 | 66 | 54 | 72 | 71 | 0 | 72 | 69 | 28 | 775,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 21 | C | 92.02 | 78 | 51 | 72 | 63 | 58 | 85 | 60 | 61 | 57 | 53 | 57 | 65 | 70 | 63 | 68 | 0 | 60 | 70 | 25 | 800,000$/1yrs | |||
![]() | 0 | C | 100.00 | 80 | 40 | 63 | 63 | 71 | 69 | 60 | 62 | 72 | 58 | 51 | 63 | 63 | 63 | 59 | 0 | 24 | 69 | 25 | ||||
![]() | 0 | LW | 100.00 | 55 | 37 | 99 | 61 | 65 | 62 | 60 | 59 | 56 | 51 | 54 | 63 | 61 | 63 | 65 | 0 | 24 | 67 | 26 | ||||
![]() | 0 | C/LW | 100.00 | 68 | 31 | 55 | 57 | 59 | 77 | 60 | 60 | 30 | 62 | 42 | 56 | 55 | 69 | 64 | 0 | 24 | 66 | 28 | ||||
![]() | 0 | C | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 60 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 24 | 9 | 27 | ||||
![]() | 0 | D | 100.00 | 62 | 40 | 87 | 49 | 88 | 64 | 65 | 48 | 30 | 54 | 50 | 69 | 52 | 70 | 68 | 0 | 68 | 67 | 27 | 775,000$/1yrs | |||
![]() | 38 | D | 100.00 | 69 | 40 | 76 | 45 | 81 | 62 | 81 | 44 | 30 | 50 | 45 | 73 | 48 | 76 | 74 | 0 | 23 | 65 | 32 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 39 | 92 | 58 | 84 | 57 | 60 | 54 | 30 | 51 | 42 | 62 | 55 | 57 | 60 | 0 | 24 | 65 | 22 | ||||
![]() | 70 | D | 100.00 | 62 | 39 | 88 | 45 | 79 | 60 | 73 | 44 | 30 | 50 | 47 | 66 | 49 | 64 | 63 | 0 | 24 | 63 | 25 | ||||
![]() | 23 | D | 100.00 | 67 | 40 | 80 | 44 | 79 | 60 | 70 | 43 | 30 | 48 | 46 | 68 | 47 | 68 | 66 | 0 | 24 | 63 | 27 | 775,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 35 | 100.00 | 78 | 65 | 67 | 91 | 68 | 64 | 71 | 72 | 69 | 75 | 71 | 75 | 79 | 0 | 56 | 76 | 30 | 1,000,000$/2yrs |
![]() | 0 | 100.00 | 72 | 65 | 70 | 96 | 52 | 75 | 73 | 72 | 75 | 74 | 74 | 65 | 65 | 0 | 59 | 76 | 23 | 875,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 32 | 100.00 | 71 | 62 | 69 | 84 | 68 | 75 | 72 | 71 | 75 | 74 | 73 | 65 | 69 | 0 | 24 | 76 | 27 | |
![]() | 0 | 100.00 | 64 | 61 | 66 | 77 | 68 | 75 | 70 | 64 | 75 | 70 | 70 | 81 | 80 | 0 | 54 | 74 | 32 | 800,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Guy Boucher | 63 | 58 | 66 | 70 | 74 | 64 | 77 | CAN | 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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Samuel Laberge | LW | 1 | 1 | 2 | 3 | 2 | 0 | 0 | 1 | 4 | 0 | 4 | 25.00% | 0 | 15.72 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 3.82 | 0 | 0 | ||
2 | Luke Philp | C | 1 | 2 | 1 | 3 | 2 | 0 | 0 | 0 | 3 | 0 | 1 | 66.67% | 0 | 15.38 | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 54.55% | 11 | 0 | 0 | 0 | 0 | 3.90 | 0 | 0 | ||
3 | Andreas Englund | D | 1 | 0 | 2 | 2 | 2 | 0 | 0 | 2 | 0 | 1 | 0 | 0.00% | 1 | 16.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 2.44 | 0 | 0 | ||
4 | Seth Griffith | C | 1 | 0 | 1 | 1 | 1 | 2 | 0 | 2 | 2 | 1 | 3 | 0.00% | 1 | 17.48 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.14 | 0 | 0 | ||
5 | Noah Juulsen | D | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 3 | 0 | 1 | 0.00% | 3 | 21.32 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.94 | 0 | 0 | ||
6 | John Stevens | C | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 100.00% | 0 | 11.17 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 0 | 0 | 84.62% | 13 | 0 | 0 | 0 | 0 | 1.79 | 0 | 0 | ||
7 | Joel Hanley | D | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 2 | 3 | 0.00% | 1 | 21.83 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
8 | Chris Wagner | C/LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 2 | 0.00% | 0 | 20.62 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
9 | Travis Barron | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 0 | 0 | 0.00% | 0 | 15.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
10 | Clark Bishop | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0.00% | 0 | 8.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
11 | Kale Clague | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 2 | 17.67 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Phillip Di Giuseppe | RW | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 3 | 1 | 0 | 0.00% | 0 | 22.52 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
13 | Nick DeSimone | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 17.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Riley Nash | C/LW/RW | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 1 | 3 | 0.00% | 0 | 18.43 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 60.71% | 28 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Patrick Brown | C/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 16.50 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 70.00% | 10 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Tanner Laczynski | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 4 | 0.00% | 0 | 13.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Ryan Shea | D | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 22.93 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Robert Mastrosimone | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Riley Duran | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 19 | 4 | 7 | 11 | 14 | 6 | 0 | 15 | 30 | 10 | 22 | 13.33% | 8 | 15.47 | 1 | 1 | 2 | 27 | 1 | 2 | 3 | 23 | 1 | 0 | 60.27% | 73 | 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 | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Samuel Hlavaj | 1 | 1 | 0 | 0 | 1.000 | 0.00 | 60 | 0 | 1 | 0 | 13 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 | |
Team Total or Average | 1 | 1 | 0 | 0 | 1.000 | 0.00 | 60 | 0 | 1 | 0 | 13 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andreas Englund | D | 29 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Chris Wagner | C/LW/RW | 33 | 775,000$ | 775,000$ | UFA | ||||||
Clark Bishop | C | 29 | 800,000$ | 800,000$ | UFA | ||||||
Colton Point | G | 27 | 0$ | UFA | |||||||
Cédric Desruisseaux | C | 25 | 800,000$ | 800,000$ | |||||||
Filip Chlapik | C | 27 | 0$ | UFA | |||||||
Jay O'Brien | C | 25 | 0$ | ||||||||
Jayden Halbgewachs | C/LW | 28 | 0$ | UFA | |||||||
Jeremy Groleau | D | 25 | 0$ | ||||||||
Joel Hanley | D | 33 | 787,500$ | 787,500$ | UFA | ||||||
John Stevens | C | 31 | 775,000$ | 775,000$ | UFA | ||||||
Justin Almeida | LW | 26 | 0$ | ||||||||
Kale Clague | D | 26 | 775,000$ | 775,000$ | |||||||
Luke Philp | C | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Marcus Hogberg | G | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Michael Houser | G | 32 | 800,000$ | 800,000$ | UFA | ||||||
Michael Krutil | D | 22 | 0$ | RFA | |||||||
Nick DeSimone | D | 30 | 800,000$ | 800,000$ | UFA | ||||||
Nicolas Mattinen | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Noah Juulsen | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Patrick Brown | C/RW | 32 | 850,000$ | 850,000$ | UFA | ||||||
Paul LaDue | D | 32 | 800,000$ | 800,000$ | UFA | ||||||
Phillip Di Giuseppe | RW | 31 | 850,000$ | 850,000$ | UFA | ||||||
Riley Duran | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Riley Nash | C/LW/RW | 35 | 775,000$ | 775,000$ | UFA | ||||||
Robert Mastrosimone | C/LW | 24 | 775,000$ | 775,000$ | |||||||
Ryan Shea | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Samuel Hlavaj | G | 23 | 875,000$ | 875,000$ | 875,000$ | ||||||
Samuel Laberge | LW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Seth Griffith | C | 32 | 780,000$ | 780,000$ | UFA | ||||||
Tanner Laczynski | C | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Travis Barron | LW | 26 | 800,000$ | 800,000$ | |||||||
William Reilly | D | 27 | 775,000$ | 775,000$ | 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 |
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1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 7 | 11 | 0 | 1 | 1 | 3 | 0 | 0 | 30 | 9 | 9 | 12 | 0 | 13 | 8 | 6 | 15 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 1 | 22 | 35 | 62.86% | 14 | 23 | 60.87% | 8 | 15 | 53.33% | 23 | 15 | 21 | 8 | 14 | 7 | 100.0% | 13.3% | 100.0% | 113.3 | LUCKY | |
_Vs Conference | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 7 | 11 | 0 | 1 | 1 | 3 | 0 | 0 | 30 | 9 | 9 | 12 | 0 | 13 | 8 | 6 | 15 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 1 | 22 | 35 | 62.86% | 14 | 23 | 60.87% | 8 | 15 | 53.33% | 23 | 15 | 21 | 8 | 14 | 7 | 100.0% | 13.3% | 100.0% | 113.3 | LUCKY | |
_Since Last GM Reset | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 7 | 11 | 0 | 1 | 1 | 3 | 0 | 0 | 30 | 9 | 9 | 12 | 0 | 13 | 8 | 6 | 15 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 1 | 22 | 35 | 62.86% | 14 | 23 | 60.87% | 8 | 15 | 53.33% | 23 | 15 | 21 | 8 | 14 | 7 | 100.0% | 13.3% | 100.0% | 113.3 | LUCKY | |
Total | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 7 | 11 | 0 | 1 | 1 | 3 | 0 | 0 | 30 | 9 | 9 | 12 | 0 | 13 | 8 | 6 | 15 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 1 | 22 | 35 | 62.86% | 14 | 23 | 60.87% | 8 | 15 | 53.33% | 23 | 15 | 21 | 8 | 14 | 7 | 100.0% | 13.3% | 100.0% | 113.3 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 14 |
Defensive Zone | 21 |
Puck Time | |
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Offensive Zone Start | 35 |
Neutral Zone Start | 15 |
Defensive Zone Start | 23 |
Puck Time | |
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With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
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Faceoffs Won | 44 |
Faceoffs Lost | 29 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.0 | 9.57 |
2nd Period | 18.0 | 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 | 1.0 | 0.64 |
2nd Period | 4.0 | 1.65 |
3rd Period | 4.0 | 2.67 |
Overtime | 4.0 | 2.83 |
Even Strenght Goal | 2 |
---|---|
PP Goal | 1 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 4 |
---|---|
PP Goal | 1 |
PK Attempt | 3 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 30.0 |
Shots Against | 13.0 |
Goals For | 4.0 |
Goals Against | 0.0 |
Hits | 15.0 |
Shots Blocked | 8.0 |
Pim | 6.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2025-05-01 | @ | Penguins0,Thunderbirds4 | RECAP | |||||||||||
2025-05-03 | @ | |||||||||||||
2025-05-05 | @ | |||||||||||||
2025-05-07 | @ | |||||||||||||
2025-05-09 | @ | |||||||||||||
2025-05-11 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-05-13 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,024,250$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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![]() | Name | |
City | Springfield | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
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 |
35 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,024,250$ | 2,024,250$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 12 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 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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