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Full Scoreboard »» |
![]() | Manitoba Moose 3-1-0, 6pts · 4th 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/LW/RW | 99.00 | 79 | 62 | 67 | 70 | 91 | 81 | 78 | 70 | 49 | 66 | 65 | 66 | 68 | 73 | 63 | 1 | 50 | 68 | 26 | 2,500,000$/3yrs | |||
![]() | 0 | C | 100.00 | 74 | 44 | 73 | 71 | 77 | 74 | 63 | 66 | 50 | 63 | 61 | 65 | 66 | 51 | 50 | 1 | 50 | 64 | 22 | 975,000$/2yrs | |||
![]() | 0 | LW | 99.00 | 56 | 40 | 69 | 67 | 75 | 76 | 59 | 62 | 40 | 59 | 59 | 59 | 63 | 51 | 50 | 1 | 50 | 60 | 20 | 923,333$/2yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 54 | 43 | 71 | 70 | 54 | 68 | 66 | 63 | 44 | 64 | 57 | 57 | 63 | 54 | 50 | 1 | 50 | 60 | 26 | 855,000$/1yrs | |||
![]() | 0 | LW | 99.00 | 65 | 41 | 68 | 61 | 68 | 62 | 61 | 61 | 42 | 58 | 57 | 61 | 59 | 50 | 50 | 1 | 50 | 59 | 22 | 1,000,000$/3yrs | |||
![]() | 0 | C | 100.00 | 65 | 44 | 66 | 62 | 69 | 66 | 64 | 61 | 57 | 58 | 54 | 60 | 59 | 54 | 50 | 1 | 50 | 59 | 26 | 1,100,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 55 | 41 | 68 | 62 | 60 | 61 | 60 | 62 | 42 | 60 | 58 | 54 | 61 | 50 | 50 | 1 | 50 | 58 | 21 | 865,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 58 | 42 | 70 | 63 | 64 | 68 | 66 | 61 | 43 | 56 | 55 | 54 | 60 | 54 | 50 | 1 | 50 | 58 | 26 | 1,200,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 61 | 41 | 71 | 65 | 67 | 65 | 61 | 60 | 42 | 53 | 56 | 59 | 60 | 53 | 50 | 1 | 50 | 58 | 25 | 975,000$/4yrs | |||
![]() | 0 | C | 100.00 | 57 | 41 | 68 | 62 | 58 | 62 | 61 | 58 | 41 | 57 | 55 | 57 | 58 | 51 | 50 | 1 | 50 | 57 | 24 | 925,000$/1yrs | |||
![]() | 0 | C | 99.00 | 61 | 40 | 66 | 61 | 62 | 58 | 56 | 56 | 48 | 54 | 54 | 57 | 57 | 50 | 50 | 1 | 50 | 56 | 21 | 1,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 61 | 40 | 65 | 60 | 64 | 61 | 58 | 52 | 40 | 51 | 51 | 53 | 54 | 52 | 50 | 1 | 50 | 54 | 24 | 1,000,000$/3yrs | |||
![]() | 0 | D | 99.00 | 59 | 45 | 77 | 76 | 79 | 82 | 68 | 71 | 40 | 66 | 65 | 70 | 71 | 56 | 50 | 1 | 50 | 68 | 21 | 975,000$/1yrs | |||
![]() | 0 | D | 99.00 | 64 | 45 | 68 | 66 | 64 | 71 | 70 | 64 | 40 | 61 | 57 | 70 | 62 | 63 | 57 | 1 | 50 | 64 | 30 | 1,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 60 | 59 | 55 | 66 | 65 | 71 | 68 | 63 | 40 | 59 | 57 | 67 | 62 | 60 | 50 | 1 | 50 | 62 | 28 | 1,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 57 | 43 | 70 | 67 | 62 | 66 | 64 | 62 | 40 | 61 | 56 | 63 | 62 | 55 | 50 | 1 | 50 | 61 | 27 | 1,425,000$/3yrs | |||
![]() | 0 | D | 100.00 | 55 | 41 | 70 | 70 | 60 | 67 | 62 | 59 | 40 | 54 | 54 | 64 | 60 | 53 | 50 | 1 | 50 | 60 | 26 | 975,000$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 40 | 66 | 59 | 66 | 55 | 53 | 55 | 40 | 54 | 53 | 59 | 56 | 50 | 50 | 1 | 50 | 57 | 20 | 880,833$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 96.87 | 61 | 42 | 70 | 65 | 62 | 62 | 60 | 58 | 41 | 55 | 52 | 58 | 59 | 50 | 50 | 1 | 50 | 57 | 21 | 975,000$/2yrs | |||
![]() | 0 | D | 100.00 | 70 | 47 | 72 | 70 | 80 | 79 | 73 | 68 | 40 | 62 | 61 | 71 | 66 | 69 | 61 | 1 | 50 | 68 | 28 | 975,000$/2yrs | |||
![]() | 0 | D | 100.00 | 58 | 40 | 76 | 64 | 78 | 71 | 65 | 67 | 40 | 64 | 61 | 59 | 64 | 57 | 50 | 1 | 50 | 63 | 24 | 1,125,000$/4yrs | |||
![]() | 0 | D | 100.00 | 64 | 44 | 66 | 69 | 63 | 70 | 67 | 64 | 40 | 62 | 54 | 69 | 62 | 60 | 50 | 1 | 50 | 63 | 27 | 1,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 61 | 41 | 67 | 62 | 62 | 60 | 58 | 57 | 40 | 54 | 54 | 64 | 58 | 50 | 50 | 1 | 50 | 59 | 22 | 875,000$/1yrs |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 96.00 | 74 | 67 | 69 | 65 | 70 | 69 | 71 | 67 | 70 | 71 | 63 | 57 | 51 | 1 | 50 | 63 | 28 | 975,000$/4yrs |
![]() | 0 | 97.00 | 72 | 62 | 61 | 65 | 67 | 68 | 71 | 68 | 69 | 67 | 55 | 54 | 50 | 1 | 50 | 62 | 26 | 1,000,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 69 | 61 | 63 | 64 | 65 | 64 | 66 | 63 | 65 | 66 | 55 | 52 | 50 | 1 | 50 | 59 | 24 | 1,000,000$/3yrs |
![]() | 0 | 100.00 | 69 | 59 | 59 | 63 | 64 | 64 | 65 | 62 | 65 | 64 | 55 | 52 | 50 | 1 | 50 | 58 | 24 | 1,000,000$/3yrs |
![]() | 0 | 100.00 | 69 | 59 | 57 | 63 | 63 | 63 | 64 | 61 | 64 | 63 | 52 | 54 | 50 | 1 | 50 | 58 | 26 | 975,000$/4yrs |
![]() | 0 | 100.00 | 65 | 60 | 60 | 60 | 62 | 63 | 65 | 62 | 64 | 63 | 52 | 54 | 50 | 1 | 50 | 57 | 26 | 1,000,000$/3yrs |
![]() | 0 | 100.00 | 63 | 58 | 57 | 63 | 61 | 60 | 61 | 58 | 62 | 60 | 55 | 50 | 50 | 1 | 50 | 56 | 22 | 1,000,000$/3yrs |
![]() | 0 | 100.00 | 63 | 56 | 56 | 66 | 61 | 59 | 59 | 55 | 60 | 60 | 51 | 52 | 50 | 1 | 50 | 55 | 24 | 1,000,000$/3yrs |
![]() | 0 | 100.00 | 62 | 57 | 57 | 65 | 61 | 59 | 59 | 57 | 61 | 59 | 54 | 50 | 50 | 1 | 50 | 55 | 21 | 1,000,000$/3yrs |
![]() | 0 | 100.00 | 63 | 57 | 57 | 62 | 61 | 60 | 60 | 58 | 61 | 60 | 54 | 50 | 50 | 1 | 50 | 55 | 22 | 1,000,000$/3yrs |
![]() | 0 | 100.00 | 59 | 57 | 57 | 63 | 58 | 56 | 55 | 54 | 55 | 58 | 54 | 51 | 50 | 1 | 50 | 53 | 23 | 1,000,000$/3yrs |
![]() | 0 | 100.00 | 58 | 57 | 57 | 67 | 59 | 56 | 56 | 54 | 56 | 58 | 54 | 51 | 50 | 1 | 50 | 53 | 23 | 1,000,000$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Ryan Huska | 86 | 83 | 78 | 83 | 76 | 67 | 1 | CAN | 49 | 3 | 500,000$ |
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 | Simon Nemec | ![]() | D | 4 | 1 | 4 | 5 | -2 | 0 | 0 | 6 | 12 | 4 | 11 | 8.33% | 5 | 26.85 | 1 | 1 | 2 | 0 | 0 | 0 | 10 | 0 | 1 | 0.00% | 0 | 0 | 1.25 | 0 | 0 | 1.01 | |||
2 | Aydar Suniev | ![]() | LW | 4 | 2 | 2 | 4 | 0 | 4 | 0 | 7 | 10 | 2 | 5 | 20.00% | 2 | 20.96 | 0 | 1 | 1 | 0 | 0 | 0 | 9 | 0 | 0 | 66.67% | 0 | 0 | 1.00 | 0 | 1 | 0.78 | |||
3 | Yegor Sidorov | ![]() | RW | 4 | 3 | 1 | 4 | 2 | 2 | 0 | 2 | 11 | 2 | 7 | 27.27% | 0 | 14.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 0 | 0 | 1.00 | 0 | 0 | 1.06 | |||
4 | Josh Dunne | ![]() | C | 4 | 2 | 2 | 4 | 2 | 0 | 0 | 4 | 9 | 1 | 1 | 22.22% | 1 | 15.66 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 54.29% | 0 | 0 | 1.00 | 0 | 0 | 1.08 | |||
5 | Josiah Slavin | ![]() | LW | 4 | 1 | 3 | 4 | 3 | 2 | 0 | 3 | 8 | 1 | 6 | 12.50% | 3 | 13.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | 1.09 | |||
6 | Sammy Walker | ![]() | C/LW/RW | 4 | 2 | 2 | 4 | -1 | 2 | 0 | 6 | 14 | 5 | 5 | 14.29% | 1 | 18.84 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 33.33% | 0 | 0 | 1.00 | 1 | 1 | 0.87 | |||
7 | Klim Kostin | ![]() | C/LW/RW | 4 | 1 | 2 | 3 | 0 | 21 | 5 | 9 | 24 | 4 | 13 | 4.17% | 7 | 24.28 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 1 | 0 | 48.98% | 0 | 0 | 0.75 | 1 | 1 | 0.22 | |||
8 | Lleyton Roed | ![]() | LW | 4 | 0 | 2 | 2 | -2 | 0 | 0 | 5 | 5 | 1 | 6 | 0.00% | 1 | 19.23 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 16.67% | 0 | 0 | 0.50 | 1 | 1 | 0.32 | |||
9 | Jimmy Schuldt | ![]() | D | 4 | 0 | 1 | 1 | 0 | 2 | 0 | 2 | 6 | 1 | 0 | 0.00% | 5 | 25.63 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.21 | |||
10 | Tag Bertuzzi | ![]() | C/LW/RW | 3 | 1 | 0 | 1 | 0 | 5 | 5 | 4 | 4 | 1 | 3 | 25.00% | 1 | 19.29 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 33.33% | 0 | 0 | 0.33 | 0 | 0 | 0.12 | |||
11 | Luke Haymes | ![]() | C | 3 | 0 | 1 | 1 | 1 | 2 | 0 | 3 | 1 | 1 | 3 | 0.00% | 2 | 17.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48.78% | 0 | 0 | 0.33 | 0 | 0 | 0.27 | |||
12 | Massimo Rizzo | ![]() | C | 3 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 3 | 1 | 1 | 0.00% | 0 | 7.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.45% | 0 | 0 | 0.33 | 0 | 0 | 0.41 | |||
13 | Akito Hirose | ![]() | D | 4 | 0 | 1 | 1 | 2 | 0 | 0 | 1 | 3 | 1 | 1 | 0.00% | 1 | 11.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.39 | |||
14 | Ben Gleason | ![]() | D | 4 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 3 | 0 | 0 | 0.00% | 4 | 17.46 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.34 | |||
15 | Colton Dach | ![]() | C | 3 | 0 | 0 | 0 | -3 | 0 | 0 | 1 | 2 | 2 | 2 | 0.00% | 0 | 9.53 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 43.33% | 0 | 0 | 0.00 | 0 | 0 | -0.30 | |||
16 | Matthew Seminoff | ![]() | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.03 | |||
17 | Isaac Belliveau | ![]() | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
18 | Jesse Pulkkinen | ![]() | D | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 2 | 13.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.27 | |||
19 | Philippe Myers | ![]() | D | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 0 | 0 | 1 | 0.00% | 1 | 24.30 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.60 | |||
20 | Connor Mackey | ![]() | D | 4 | 0 | 0 | 0 | 1 | 4 | 0 | 2 | 6 | 0 | 2 | 0.00% | 3 | 17.10 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.05 | |||
21 | Samuel Bolduc | ![]() | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 0 | 17.00 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.05 | |||
22 | Matt Kiersted | ![]() | D | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 12.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.73 | |||
23 | Aidan McDonough | ![]() | LW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 1 | 5 | 0.00% | 1 | 9.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.10 | |||
Team Total or Average | 72 | 13 | 22 | 35 | 5 | 44 | 10 | 68 | 123 | 28 | 73 | 10.57% | 40 | 16.65 | 2 | 4 | 6 | 39 | 0 | 0 | 0 | 63 | 2 | 2 | 47.35% | 245 | 18 | 30 | 0 | 0 | 0.58 | 3 | 4 |
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 | Devin Cooley | ![]() | 3 | 2 | 1 | 0 | 0.900 | 3.57 | 185 | 0 | 0 | 11 | 110 | 61 | 0 | 0 | 0.500 | 4 | 3 | 1 | 1 | 0 | 0 |
2 | Adam Scheel | ![]() | 1 | 1 | 0 | 0 | 0.875 | 4.00 | 60 | 0 | 0 | 4 | 32 | 19 | 1 | 0 | 0.000 | 0 | 1 | 3 | 0 | 0 | 0 |
Team Total or Average | 4 | 3 | 1 | 0 | 0.894 | 3.67 | 245 | 0 | 0 | 15 | 142 | 80 | 1 | 0 | 0.500 | 4 | 4 | 4 | 1 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Scheel | G | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Aidan McDonough | LW | 25 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | |||
Akito Hirose | D | 26 | 975,000$ | 975,000$ | |||||||
Aydar Suniev | LW | 20 | 923,333$ | 975,000$ | 975,000$ | RFA | |||||
Ben Gleason | D | 27 | 1,425,000$ | 1,425,000$ | 1,425,000$ | 1,425,000$ | UFA | ||||
Callum Tung | G | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | ||||
Colton Dach | C | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Connor Mackey | D | 28 | 1,750,000$ | 1,750,000$ | UFA | ||||||
Devin Cooley | G | 28 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | |||
Eetu Makiniemi | G | 26 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | |||
Filip Larsson | G | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Gabriel Carriere | G | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Isaac Belliveau | D | 22 | 875,000$ | 975,000$ | RFA | ||||||
Jesse Pulkkinen | D | 20 | 880,833$ | 975,000$ | 975,000$ | RFA | |||||
Jimmy Schuldt | D | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Josh Dunne | C | 26 | 1,100,000$ | 1,100,000$ | |||||||
Josiah Slavin | LW | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
Klim Kostin | C/LW/RW | 26 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Lleyton Roed | LW | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Luke Cavallin | G | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Luke Haymes | C | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Massimo Rizzo | C | 24 | 925,000$ | 975,000$ | |||||||
Matt Kiersted | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
Matthew Seminoff | RW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Michael Simpson | G | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Mitchell Weeks | G | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Philippe Myers | D | 28 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Sammy Walker | C/LW/RW | 26 | 855,000$ | 975,000$ | |||||||
Samuel Bolduc | D | 24 | 1,125,000$ | 1,125,000$ | 1,125,000$ | 1,125,000$ | 1,125,000$ | UFA | |||
Simon Nemec | D | 21 | 975,000$ | 975,000$ | RFA | ||||||
T.J. Semptimphelter | G | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Tag Bertuzzi | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Vyacheslav Buteyets | G | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
William Rousseau | G | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Yegor Sidorov | RW | 21 | 865,000$ | 975,000$ | 975,000$ | 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 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 2 | 5 | 6 | 3 | 35 | 30 | 50 | 42 | 5 | 31 | 11 | 6 | 11 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 35 | 79 | 44.30% | 51 | 99 | 51.52% | 30 | 66 | 45.45% | 76 | 40 | 90 | 41 | 77 | 37 | 50.0% | 5.7% | 96.8% | 102.5 | DULL |
2 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 10 | -4 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 2 | 5 | 6 | 3 | 52 | 30 | 50 | 42 | 5 | 79 | 26 | 29 | 34 | 2 | 1 | 50.00% | 7 | 3 | 57.14% | 0 | 35 | 79 | 44.30% | 51 | 99 | 51.52% | 30 | 66 | 45.45% | 76 | 40 | 90 | 41 | 77 | 37 | 41.7% | 11.5% | 87.3% | 98.9 | FUN |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 2 | 5 | 6 | 3 | 36 | 30 | 50 | 42 | 5 | 32 | 3 | 9 | 23 | 1 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 35 | 79 | 44.30% | 51 | 99 | 51.52% | 30 | 66 | 45.45% | 76 | 40 | 90 | 41 | 77 | 37 | 75.0% | 16.7% | 87.5% | 104.2 | FUN |
_Vs Conference | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 11 | -3 | 4 | 0.667 | 8 | 12 | 20 | 0 | 0 | 2 | 5 | 6 | 3 | 87 | 30 | 50 | 42 | 5 | 110 | 37 | 35 | 45 | 5 | 2 | 40.00% | 10 | 3 | 70.00% | 0 | 35 | 79 | 44.30% | 51 | 99 | 51.52% | 30 | 66 | 45.45% | 76 | 40 | 90 | 41 | 77 | 37 | 42.9% | 9.2% | 90.0% | 99.2 | FUN | |
_Since Last GM Reset | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 14 | 15 | -1 | 6 | 0.750 | 14 | 22 | 36 | 0 | 0 | 2 | 5 | 6 | 3 | 123 | 30 | 50 | 42 | 5 | 142 | 40 | 44 | 68 | 6 | 2 | 33.33% | 12 | 5 | 58.33% | 0 | 35 | 79 | 44.30% | 51 | 99 | 51.52% | 30 | 66 | 45.45% | 76 | 40 | 90 | 41 | 77 | 37 | 54.5% | 11.4% | 89.4% | 100.8 | FUN | |
Total | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 14 | 15 | -1 | 6 | 0.750 | 14 | 22 | 36 | 0 | 0 | 2 | 5 | 6 | 3 | 123 | 30 | 50 | 42 | 5 | 142 | 40 | 44 | 68 | 6 | 2 | 33.33% | 12 | 5 | 58.33% | 0 | 35 | 79 | 44.30% | 51 | 99 | 51.52% | 30 | 66 | 45.45% | 76 | 40 | 90 | 41 | 77 | 37 | 54.5% | 11.4% | 89.4% | 100.8 | FUN |
Puck Time | |
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Offensive Zone | 19 |
Neutral Zone | 19 |
Defensive Zone | 22 |
Puck Time | |
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Offensive Zone Start | 79 |
Neutral Zone Start | 66 |
Defensive Zone Start | 99 |
Puck Time | |
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With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 116 |
Faceoffs Lost | 128 |
Team Average Shots after | League Average Shots after | |
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1st Period | 7.5 | 9.57 |
2nd Period | 20.0 | 20.31 |
3rd Period | 30.5 | 30.68 |
Overtime | 31.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 4.0 | 2.83 |
Even Strenght Goal | 12 |
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PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 2 | 1 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 6 |
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PP Goal | 2 |
PK Attempt | 12 |
PK Goal Against | 5 |
Home | |
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Shots For | 30.8 |
Shots Against | 35.5 |
Goals For | 3.5 |
Goals Against | 3.8 |
Hits | 17.0 |
Shots Blocked | 10.0 |
Pim | 11.0 |
Date | Matchup | Result | Detail | |||||||||||
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Thu, Oct 9 | ![]() | @ | ![]() | WPG1,DET6 | RECAP | |||||||||
Sat, Oct 11 | ![]() | @ | ![]() | CHI1,WPG2 | RECAP | |||||||||
Mon, Oct 13 | ![]() | @ | ![]() | DET4,WPG5 (SO) | RECAP | |||||||||
Wed, Oct 15 | ![]() | @ | ![]() | WPG6,FLO4 | RECAP | |||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,825,000$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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![]() | Name | |
City | Manitoba | |
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 |
3,825,000$ | 3,825,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
202,428$ | 0$ | 178,756$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 184 | 25,592$ | 4,120,312$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
4,120,312$ | 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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