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Full Scoreboard »» |
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Full Scoreboard »» |
Manitoba Moose 1-0-0, 2pts · 5th in Western |
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 | 61 | 38 | 90 | 55 | 74 | 72 | 72 | 72 | 83 | 62 | 59 | 76 | 60 | 84 | 83 | 0 | 31 | 75 | 35 | 775,000$/1yrs | |||
![]() | 0 | RW | 99.00 | 74 | 35 | 85 | 65 | 68 | 80 | 90 | 64 | 59 | 64 | 68 | 57 | 66 | 64 | 62 | 0 | 39 | 74 | 23 | 875,000$/1yrs | |||
![]() | 0 | C | 99.00 | 63 | 32 | 90 | 64 | 73 | 77 | 73 | 57 | 73 | 62 | 65 | 58 | 61 | 61 | 60 | 0 | 63 | 72 | 22 | 925,000$/2yrs | |||
![]() | 0 | LW/RW | 98.00 | 85 | 53 | 79 | 55 | 88 | 70 | 79 | 54 | 60 | 56 | 56 | 62 | 55 | 85 | 83 | 0 | 50 | 70 | 35 | 2,000,000$/1yrs | |||
![]() | 0 | C | 99.00 | 76 | 40 | 64 | 50 | 70 | 67 | 68 | 70 | 45 | 55 | 53 | 74 | 54 | 79 | 75 | 0 | 44 | 70 | 31 | 775,000$/1yrs | |||
![]() | 0 | C | 99.00 | 67 | 39 | 79 | 59 | 70 | 67 | 69 | 61 | 61 | 61 | 57 | 64 | 59 | 63 | 61 | 0 | 62 | 70 | 23 | 795,000$/1yrs | |||
![]() | 0 | RW | 99.00 | 69 | 39 | 76 | 60 | 72 | 67 | 70 | 60 | 48 | 62 | 57 | 63 | 60 | 61 | 59 | 0 | 63 | 70 | 22 | 894,167$/1yrs | |||
![]() | 0 | C | 99.00 | 66 | 32 | 94 | 56 | 73 | 73 | 75 | 58 | 73 | 61 | 58 | 64 | 58 | 67 | 66 | 0 | 51 | 70 | 25 | 950,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 80 | 72 | 55 | 55 | 83 | 67 | 73 | 54 | 61 | 54 | 59 | 57 | 56 | 73 | 68 | 0 | 62 | 67 | 28 | 775,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 81 | 64 | 60 | 55 | 84 | 68 | 73 | 53 | 59 | 56 | 53 | 59 | 53 | 70 | 66 | 0 | 33 | 67 | 27 | 800,000$/1yrs | |||
![]() | 0 | RW | 99.00 | 58 | 38 | 93 | 54 | 77 | 63 | 87 | 60 | 41 | 54 | 53 | 64 | 53 | 61 | 60 | 0 | 63 | 67 | 23 | 800,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 61 | 38 | 90 | 57 | 69 | 63 | 66 | 58 | 50 | 57 | 54 | 61 | 55 | 57 | 56 | 0 | 55 | 67 | 20 | 775,000$/1yrs | |||
![]() | 8 | LW | 100.00 | 67 | 40 | 79 | 51 | 84 | 61 | 80 | 63 | 37 | 51 | 49 | 66 | 50 | 64 | 62 | 0 | 38 | 66 | 26 | 775,000$/1yrs | |||
![]() | 52 | D | 99.00 | 83 | 74 | 50 | 55 | 94 | 75 | 68 | 50 | 30 | 61 | 50 | 57 | 50 | 80 | 75 | 0 | 63 | 70 | 33 | 800,000$/1yrs | |||
![]() | 25 | D | 98.00 | 59 | 39 | 92 | 52 | 79 | 67 | 67 | 50 | 30 | 58 | 53 | 72 | 55 | 75 | 74 | 0 | 51 | 70 | 29 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 38 | 93 | 51 | 70 | 67 | 66 | 49 | 30 | 56 | 52 | 75 | 54 | 80 | 80 | 0 | 26 | 69 | 32 | 775,000$/1yrs | |||
![]() | 0 | D | 99.00 | 62 | 40 | 84 | 59 | 82 | 64 | 90 | 56 | 50 | 58 | 55 | 62 | 57 | 54 | 52 | 0 | 63 | 69 | 18 | 975,000$/3yrs | |||
![]() | 0 | D | 100.00 | 60 | 32 | 92 | 55 | 70 | 79 | 68 | 50 | 30 | 55 | 50 | 58 | 50 | 65 | 64 | 0 | 54 | 67 | 24 | 900,000$/2yrs | |||
![]() | 0 | D | 100.00 | 68 | 40 | 78 | 47 | 79 | 69 | 60 | 47 | 65 | 52 | 50 | 68 | 69 | 67 | 65 | 0 | 30 | 66 | 28 | 775,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 62 | 38 | 88 | 54 | 68 | 62 | 74 | 60 | 49 | 54 | 52 | 64 | 53 | 61 | 60 | 0 | 24 | 66 | 23 | ||||
![]() | 0 | C/LW/RW | 100.00 | 56 | 38 | 97 | 52 | 75 | 61 | 65 | 61 | 50 | 52 | 50 | 64 | 51 | 61 | 60 | 0 | 44 | 65 | 21 | ||||
![]() | 0 | LW | 100.00 | 58 | 37 | 95 | 48 | 67 | 59 | 70 | 62 | 35 | 48 | 48 | 65 | 48 | 62 | 62 | 0 | 24 | 64 | 24 | ||||
![]() | 86 | LW | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 60 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 23 | 9 | 27 | 775,000$/1yrs | |||
![]() | 25 | D | 100.00 | 66 | 39 | 80 | 52 | 73 | 66 | 65 | 50 | 30 | 58 | 51 | 70 | 55 | 72 | 70 | 0 | 63 | 69 | 27 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 62 | 39 | 88 | 45 | 81 | 60 | 74 | 44 | 30 | 50 | 47 | 66 | 48 | 64 | 63 | 0 | 23 | 63 | 26 | 775,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 33 | 97.00 | 71 | 69 | 70 | 84 | 66 | 76 | 74 | 71 | 76 | 73 | 74 | 72 | 72 | 0 | 39 | 77 | 28 | 775,000$/1yrs |
![]() | 0 | 100.00 | 60 | 61 | 65 | 88 | 60 | 60 | 60 | 60 | 60 | 57 | 60 | 81 | 84 | 0 | 24 | 69 | 34 | 775,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 30 | 100.00 | 67 | 63 | 67 | 82 | 69 | 68 | 70 | 74 | 72 | 74 | 70 | 71 | 75 | 0 | 42 | 75 | 28 | 775,000$/1yrs |
![]() | 0 | 100.00 | 72 | 69 | 68 | 86 | 58 | 73 | 71 | 72 | 73 | 74 | 72 | 60 | 60 | 0 | 44 | 75 | 22 | |
![]() | 1 | 100.00 | 66 | 58 | 65 | 78 | 63 | 73 | 68 | 66 | 73 | 70 | 69 | 70 | 69 | 0 | 63 | 72 | 26 | 900,000$/2yrs |
![]() | 33 | 100.00 | 64 | 66 | 67 | 84 | 63 | 62 | 64 | 63 | 62 | 64 | 63 | 64 | 71 | 0 | 24 | 70 | 26 | 775,000$/1yrs |
![]() | 0 | 100.00 | 85 | 75 | 72 | 99 | 81 | 76 | 1 | 1 | 1 | 85 | 82 | 78 | 82 | 0 | 24 | 58 | 33 | 5,000,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Joel Bouchard | 71 | 72 | 73 | 65 | 69 | 69 | 64 | CAN | 50 | 5 | 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 | Alex Laferriere | RW | 1 | 1 | 2 | 3 | 3 | 0 | 0 | 3 | 8 | 0 | 1 | 12.50% | 0 | 19.63 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 71.43% | 7 | 0 | 0 | 0 | 0 | 3.06 | 0 | 0 | ||
2 | Dylan McIlrath | D | 1 | 2 | 0 | 2 | 1 | 0 | 0 | 3 | 2 | 0 | 1 | 100.00% | 0 | 20.73 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.93 | 0 | 0 | ||
3 | Vasili Ponomaryov | C | 1 | 1 | 1 | 2 | 3 | 2 | 0 | 0 | 3 | 0 | 0 | 33.33% | 0 | 17.43 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 29.41% | 17 | 0 | 0 | 0 | 0 | 2.29 | 0 | 0 | ||
4 | Fyodor Svechkov | C | 1 | 0 | 2 | 2 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.00% | 0 | 18.48 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 2.16 | 0 | 0 | ||
5 | Sam Dickinson | D | 1 | 0 | 2 | 2 | 1 | 2 | 0 | 1 | 1 | 1 | 0 | 0.00% | 3 | 22.47 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.78 | 0 | 0 | ||
6 | Ethan Prow | D | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 1 | 1 | 0.00% | 1 | 18.15 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.10 | 0 | 0 | ||
7 | Jayson Megna | C | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 33.33% | 1 | 16.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 78.26% | 23 | 0 | 0 | 0 | 0 | 1.19 | 0 | 0 | ||
8 | Brogan Rafferty | D | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 3 | 0 | 0 | 0 | 0.00% | 0 | 24.63 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | ||
9 | Fabian Lysell | RW | 1 | 1 | 0 | 1 | -1 | 0 | 0 | 1 | 4 | 2 | 2 | 25.00% | 0 | 18.35 | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 1.09 | 0 | 0 | ||
10 | Zack MacEwen | C/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 1.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
11 | Givani Smith | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Matt Martin | LW/RW | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 4 | 6 | 0 | 0 | 0.00% | 0 | 23.42 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 28.57% | 7 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
13 | Cole Bardreau | C | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 5 | 2 | 2 | 3 | 0.00% | 1 | 19.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.00% | 20 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Ville Heinola | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 2 | 19.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Matthew Strome | 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 | ||
16 | Michal Teply | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 0.00% | 0 | 16.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Tobie Paquette-Bisson | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0.00% | 1 | 14.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Nils Aman | C | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 3 | 0 | 1 | 0.00% | 1 | 22.17 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 22.22% | 9 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Eduard Sale | RW | 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 | 6 | 9 | 15 | 10 | 4 | 0 | 28 | 41 | 7 | 16 | 14.63% | 10 | 15.58 | 2 | 4 | 6 | 19 | 0 | 0 | 0 | 15 | 1 | 0 | 48.31% | 89 | 0 | 0 | 0 | 0 | 1.01 | 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 | Ales Stezka | 1 | 1 | 0 | 0 | 0.944 | 2.00 | 60 | 0 | 0 | 2 | 36 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 | |
Team Total or Average | 1 | 1 | 0 | 0 | 0.944 | 2.00 | 60 | 0 | 0 | 2 | 36 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Ales Stezka | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
Alex Laferriere | RW | 23 | 875,000$ | 875,000$ | RFA | ||||||
Brogan Rafferty | D | 29 | 800,000$ | 800,000$ | UFA | ||||||
Cole Bardreau | C | 31 | 775,000$ | 775,000$ | UFA | ||||||
Dylan Ferguson | G | 26 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Dylan McIlrath | D | 33 | 800,000$ | 800,000$ | UFA | ||||||
Eduard Sale | RW | 20 | 775,000$ | 775,000$ | RFA | ||||||
Erik Kallgren | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
Ethan Prow | D | 32 | 775,000$ | 775,000$ | UFA | ||||||
Fabian Lysell | RW | 22 | 894,167$ | 894,167$ | RFA | ||||||
Fyodor Svechkov | C | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Gage Alexander | G | 22 | 0$ | RFA | |||||||
Givani Smith | LW/RW | 27 | 800,000$ | 800,000$ | UFA | ||||||
Jayson Megna | C | 35 | 775,000$ | 775,000$ | UFA | ||||||
Josh Maniscalco | D | 26 | 775,000$ | 775,000$ | |||||||
Kaden Fulcher | G | 26 | 775,000$ | 775,000$ | |||||||
Kevin Hancock | LW | 27 | 775,000$ | 775,000$ | UFA | ||||||
Kirill Tyutyayev | LW | 24 | 0$ | ||||||||
Lucas Johansen | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Magnus Hellberg | G | 34 | 775,000$ | 775,000$ | UFA | ||||||
Matt Martin | LW/RW | 35 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Matthew Strome | LW | 26 | 775,000$ | 775,000$ | |||||||
Michal Teply | RW | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
Miko Matikka | C/LW/RW | 21 | 0$ | RFA | |||||||
Nils Aman | C | 25 | 950,000$ | 950,000$ | 950,000$ | ||||||
Robin Lehner | G | 33 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Sam Dickinson | D | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Tobie Paquette-Bisson | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Tuukka Tieksola | RW | 23 | 0$ | RFA | |||||||
Vasili Ponomaryov | C | 23 | 795,000$ | 795,000$ | RFA | ||||||
Ville Heinola | D | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
Zack MacEwen | C/RW | 28 | 775,000$ | 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 | 6 | 2 | 4 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 2 | 0 | 41 | 14 | 16 | 11 | 0 | 36 | 10 | 4 | 28 | 3 | 2 | 66.67% | 2 | 0 | 100.00% | 0 | 21 | 37 | 56.76% | 16 | 34 | 47.06% | 6 | 18 | 33.33% | 22 | 15 | 23 | 7 | 13 | 6 | 66.7% | 14.6% | 94.4% | 109.1 | LUCKY | |
_Vs Division | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 2 | 0 | 41 | 14 | 16 | 11 | 0 | 36 | 10 | 4 | 28 | 3 | 2 | 66.67% | 2 | 0 | 100.00% | 0 | 21 | 37 | 56.76% | 16 | 34 | 47.06% | 6 | 18 | 33.33% | 22 | 15 | 23 | 7 | 13 | 6 | 66.7% | 14.6% | 94.4% | 109.1 | LUCKY | |
_Vs Conference | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 2 | 0 | 41 | 14 | 16 | 11 | 0 | 36 | 10 | 4 | 28 | 3 | 2 | 66.67% | 2 | 0 | 100.00% | 0 | 21 | 37 | 56.76% | 16 | 34 | 47.06% | 6 | 18 | 33.33% | 22 | 15 | 23 | 7 | 13 | 6 | 66.7% | 14.6% | 94.4% | 109.1 | LUCKY | |
_Since Last GM Reset | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 2 | 0 | 41 | 14 | 16 | 11 | 0 | 36 | 10 | 4 | 28 | 3 | 2 | 66.67% | 2 | 0 | 100.00% | 0 | 21 | 37 | 56.76% | 16 | 34 | 47.06% | 6 | 18 | 33.33% | 22 | 15 | 23 | 7 | 13 | 6 | 66.7% | 14.6% | 94.4% | 109.1 | LUCKY | |
Total | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 2 | 0 | 41 | 14 | 16 | 11 | 0 | 36 | 10 | 4 | 28 | 3 | 2 | 66.67% | 2 | 0 | 100.00% | 0 | 21 | 37 | 56.76% | 16 | 34 | 47.06% | 6 | 18 | 33.33% | 22 | 15 | 23 | 7 | 13 | 6 | 66.7% | 14.6% | 94.4% | 109.1 | LUCKY |
Puck Time | |
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Offensive Zone | 22 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
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Offensive Zone Start | 37 |
Neutral Zone Start | 18 |
Defensive Zone Start | 34 |
Puck Time | |
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With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
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Faceoffs Won | 43 |
Faceoffs Lost | 46 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 14.0 | 9.57 |
2nd Period | 30.0 | 20.31 |
3rd Period | 41.0 | 30.68 |
Overtime | 41.0 | 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 | 6.0 | 2.67 |
Overtime | 6.0 | 2.83 |
Even Strenght Goal | 4 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 3 |
---|---|
PP Goal | 2 |
PK Attempt | 2 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 41.0 |
Shots Against | 36.0 |
Goals For | 6.0 |
Goals Against | 2.0 |
Hits | 28.0 |
Shots Blocked | 10.0 |
Pim | 4.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2025-05-02 | @ | Eagles2,Moose6 | RECAP | |||||||||||
2025-05-04 | @ | |||||||||||||
2025-05-06 | @ | |||||||||||||
2025-05-08 | @ | |||||||||||||
2025-05-10 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-05-12 | @ | |||||||||||||
2025-05-14 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,328,917$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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![]() | Name | |
City | Manitoba | |
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 |
2,328,917$ | 2,328,917$ | 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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