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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Regina Butchers 7-3-1, 15pts · 3rd in Canadian Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 73 | 43 | 91 | 84 | 67 | 87 | 92 | 88 | 32 | 93 | 87 | 79 | 75 | 74 | 77 | 90 | 75 | 88 | 27 | 10,903,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 75 | 53 | 88 | 84 | 71 | 84 | 99 | 95 | 67 | 81 | 97 | 78 | 82 | 75 | 77 | 90 | 75 | 87 | 28 | 6,500,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 69 | 42 | 89 | 89 | 66 | 84 | 90 | 95 | 33 | 89 | 90 | 62 | 50 | 71 | 73 | 90 | 75 | 84 | 29 | 8,200,000$/4yrs | |||
![]() | 0 | C | 100.00 | 67 | 42 | 86 | 85 | 66 | 74 | 99 | 79 | 79 | 79 | 87 | 75 | 25 | 60 | 61 | 84 | 75 | 81 | 21 | 875,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 76 | 43 | 89 | 80 | 66 | 77 | 88 | 79 | 35 | 76 | 87 | 77 | 80 | 67 | 68 | 82 | 75 | 80 | 29 | 4,200,000$/1yrs | |||
![]() | 18 | C/LW | 100.00 | 78 | 44 | 88 | 89 | 68 | 86 | 94 | 92 | 70 | 89 | 75 | 71 | 80 | 65 | 65 | 81 | 75 | 80 | 22 | 8,350,000$/8yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 43 | 90 | 95 | 82 | 75 | 94 | 84 | 85 | 81 | 87 | 70 | 45 | 68 | 70 | 84 | 75 | 80 | 27 | 8,450,000$/8yrs | |||
![]() | 0 | C/LW | 100.00 | 79 | 57 | 84 | 86 | 70 | 75 | 97 | 81 | 83 | 78 | 74 | 75 | 25 | 65 | 65 | 76 | 75 | 76 | 23 | 7,100,000$/7yrs | |||
![]() | 0 | C | 100.00 | 63 | 41 | 81 | 76 | 62 | 69 | 84 | 87 | 70 | 65 | 73 | 67 | 25 | 47 | 47 | 70 | 75 | 69 | 22 | 916,667$/1yrs | |||
![]() | 0 | RW | 100.00 | 73 | 43 | 94 | 76 | 67 | 65 | 86 | 65 | 25 | 67 | 59 | 79 | 25 | 60 | 60 | 62 | 75 | 66 | 26 | 800,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 78 | 75 | 85 | 66 | 75 | 80 | 85 | 63 | 85 | 59 | 64 | 68 | 61 | 46 | 46 | 62 | 75 | 65 | 27 | 450,000$/1yrs | |||
![]() | 11 | RW | 100.00 | 72 | 67 | 84 | 69 | 67 | 80 | 85 | 64 | 73 | 61 | 64 | 63 | 61 | 55 | 55 | 63 | 75 | 65 | 30 | 450,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 40 | 86 | 93 | 60 | 91 | 97 | 95 | 25 | 83 | 61 | 69 | 25 | 67 | 67 | 90 | 75 | 83 | 24 | 7,850,000$/4yrs | |||
![]() | 53 | D | 100.00 | 63 | 41 | 93 | 81 | 66 | 77 | 95 | 90 | 25 | 74 | 53 | 69 | 45 | 73 | 74 | 83 | 75 | 78 | 31 | 6,100,000$/3yrs | |||
![]() | 0 | D | 100.00 | 82 | 44 | 90 | 79 | 68 | 78 | 79 | 73 | 25 | 67 | 48 | 77 | 25 | 62 | 63 | 70 | 75 | 73 | 25 | 1,400,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 41 | 88 | 70 | 67 | 72 | 78 | 62 | 25 | 54 | 48 | 83 | 25 | 59 | 59 | 58 | 75 | 68 | 23 | 1,400,000$/2yrs | |||
![]() | 18 | D | 100.00 | 73 | 44 | 87 | 77 | 78 | 63 | 76 | 62 | 25 | 49 | 48 | 77 | 25 | 88 | 90 | 56 | 75 | 64 | 37 | 550,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 44 | 89 | 77 | 71 | 59 | 72 | 64 | 25 | 54 | 47 | 74 | 75 | 66 | 66 | 59 | 75 | 64 | 27 | 775,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 69 | 42 | 91 | 77 | 67 | 64 | 77 | 67 | 25 | 63 | 48 | 61 | 25 | 59 | 59 | 65 | 75 | 64 | 23 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 74 | 70 | 89 | 66 | 69 | 74 | 81 | 52 | 25 | 45 | 42 | 70 | 40 | 51 | 51 | 57 | 75 | 63 | 30 | 450,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 72 | 48 | 88 | 80 | 69 | 76 | 87 | 77 | 47 | 70 | 67 | 72 | 46 | 64 | 65 | 74 | 75 | 74 |
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 | 76 | 54 | 54 | 97 | 81 | 71 | 75 | 75 | 81 | 76 | 68 | 56 | 56 | 86 | 75 | 78 | 30 | 2,150,000$/2yrs |
![]() | 30 | 100.00 | 74 | 58 | 58 | 81 | 80 | 68 | 75 | 72 | 80 | 74 | 56 | 59 | 60 | 83 | 75 | 77 | 31 | 2,700,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 75 | 56 | 56 | 89 | 81 | 70 | 75 | 74 | 81 | 75 | 62 | 58 | 58 | 85 | 75 | 78 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Simon Duguay (Zerwas) |
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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% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Wyatt Johnston | ![]() | 0 | C | 11 | 5 | 11 | 16 | 2 | 0 | 0 | 10 | 34 | 19 | 42 | 14.71% | 3 | 19.53 | 2 | 5 | 7 | 0 | 0 | 0 | 15 | 0 | 0 | 54.66% | 236 | 0 | 0 | 0 | 0 | 1.49 | 0 | 0 |
2 | Trevor Moore | ![]() | 0 | C/LW/RW | 11 | 8 | 6 | 14 | 3 | 4 | 0 | 14 | 47 | 14 | 28 | 17.02% | 3 | 18.60 | 2 | 4 | 6 | 0 | 0 | 0 | 6 | 1 | 1 | 32.14% | 28 | 0 | 0 | 0 | 1 | 1.37 | 0 | 0 |
3 | Mitchell Marner | ![]() | 0 | RW | 11 | 6 | 6 | 12 | 2 | 4 | 0 | 12 | 42 | 9 | 27 | 14.29% | 3 | 25.56 | 1 | 2 | 3 | 0 | 0 | 0 | 34 | 3 | 0 | 34.40% | 125 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 |
4 | Quinn Hughes | ![]() | 0 | D | 11 | 1 | 10 | 11 | 2 | 10 | 0 | 31 | 17 | 8 | 14 | 5.88% | 12 | 25.30 | 1 | 5 | 6 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 |
5 | Sam Reinhart | ![]() | 0 | C/RW | 11 | 4 | 6 | 10 | 0 | 6 | 0 | 16 | 56 | 9 | 35 | 7.14% | 3 | 20.10 | 2 | 1 | 3 | 0 | 0 | 0 | 36 | 1 | 1 | 44.71% | 255 | 0 | 0 | 0 | 0 | 0.90 | 0 | 0 |
6 | Roope Hintz | ![]() | 0 | C/LW | 11 | 4 | 4 | 8 | 2 | 0 | 0 | 1 | 34 | 8 | 17 | 11.76% | 3 | 12.88 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 60.00% | 45 | 0 | 0 | 0 | 0 | 1.13 | 0 | 0 |
7 | Jake Guentzel | ![]() | 0 | C/LW | 11 | 4 | 4 | 8 | 0 | 2 | 0 | 10 | 31 | 11 | 29 | 12.90% | 0 | 17.77 | 1 | 1 | 2 | 0 | 0 | 0 | 15 | 0 | 0 | 35.00% | 40 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 |
8 | Joey Anderson | ![]() | 0 | RW | 11 | 2 | 6 | 8 | 7 | 2 | 0 | 16 | 19 | 8 | 14 | 10.53% | 2 | 16.80 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 47.37% | 19 | 0 | 0 | 0 | 0 | 0.87 | 0 | 0 |
9 | Tim Stutzle | ![]() | 18 | C/LW | 11 | 3 | 4 | 7 | -2 | 2 | 0 | 14 | 31 | 10 | 14 | 9.68% | 1 | 13.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 52.56% | 156 | 0 | 0 | 0 | 0 | 0.94 | 0 | 0 |
10 | Timothy Liljegren | ![]() | 0 | D | 11 | 0 | 6 | 6 | 4 | 16 | 0 | 27 | 12 | 6 | 6 | 0.00% | 11 | 20.65 | 0 | 2 | 2 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 |
11 | Marc Staal | ![]() | 18 | D | 11 | 0 | 5 | 5 | 3 | 0 | 0 | 13 | 4 | 1 | 6 | 0.00% | 11 | 14.32 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 |
12 | Jordan Harris | ![]() | 0 | D | 11 | 1 | 3 | 4 | 6 | 4 | 0 | 9 | 14 | 0 | 9 | 7.14% | 15 | 21.04 | 1 | 0 | 1 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 |
13 | Dylan Cozens | ![]() | 0 | C/LW | 11 | 3 | 1 | 4 | 4 | 2 | 0 | 12 | 19 | 3 | 9 | 15.79% | 1 | 7.89 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 1 | 56.41% | 78 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 |
14 | Caleb Jones | ![]() | 0 | D | 9 | 0 | 3 | 3 | 1 | 10 | 0 | 10 | 4 | 2 | 3 | 0.00% | 5 | 14.11 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 |
15 | Reid Boucher | ![]() | 11 | RW | 11 | 2 | 1 | 3 | 2 | 4 | 0 | 6 | 4 | 0 | 5 | 50.00% | 0 | 11.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 70.00% | 20 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 |
16 | Shayne Gostisbehere | ![]() | 53 | D | 11 | 1 | 2 | 3 | 1 | 4 | 0 | 22 | 13 | 4 | 8 | 7.69% | 14 | 24.95 | 1 | 1 | 2 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 |
17 | Thomas Bordeleau | ![]() | 0 | C | 11 | 0 | 2 | 2 | 0 | 2 | 0 | 6 | 4 | 2 | 5 | 0.00% | 0 | 3.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61.54% | 13 | 0 | 0 | 0 | 0 | 1.07 | 0 | 0 |
18 | Filip Chlapik | ![]() | 0 | C/LW | 11 | 0 | 1 | 1 | 5 | 7 | 5 | 6 | 6 | 0 | 3 | 0.00% | 0 | 7.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 |
Team Total or Average | 196 | 44 | 81 | 125 | 42 | 79 | 5 | 235 | 391 | 114 | 274 | 11.25% | 87 | 16.44 | 12 | 22 | 34 | 363 | 0 | 0 | 0 | 234 | 7 | 4 | 48.67% | 1017 | 0 | 0 | 0 | 1 | 0.78 | 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 | Anthony Stolarz | ![]() | 11 | 7 | 3 | 1 | 0.909 | 2.81 | 661 | 0 | 0 | 31 | 339 | 0 | 0 | 0 | 0.000 | 0 | 11 | 0 | 2 | 0 | 0 |
Team Total or Average | 11 | 7 | 3 | 1 | 0.909 | 2.81 | 661 | 0 | 0 | 31 | 339 | 0 | 0 | 0 | 0.000 | 0 | 11 | 0 | 2 | 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 |
# | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6.00 | 4.00 | 2.00 | 2 | 1.000 | 6.0 | 11.0 | 17.0 | 0 | 0 | 1 | 3 | 2 | 0 | 31.0 | 4 | 14 | 13 | 0 | 31.0 | 11.0 | 14.00 | 24.0 | 3.00 | 2.00 | 66.67% | 7.00 | 1.00 | 85.71% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 24.00 | 17.00 | 24.00 | 7.00 | 11.00 | 4.00 | 57.1% | 19.4% | 87.1% | 106.5 | FUN |
2 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4.00 | 3.50 | 0.50 | 3 | 0.750 | 4.0 | 7.0 | 11.0 | 0 | 0 | 6 | 0 | 2 | 0 | 34.5 | 28 | 22 | 18 | 1 | 24.0 | 9.5 | 8.00 | 16.0 | 5.50 | 2.50 | 45.45% | 3.00 | 1.00 | 66.67% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 23.00 | 15.50 | 25.00 | 7.00 | 12.50 | 6.00 | 37.5% | 11.6% | 85.4% | 97.0 | FUN |
3 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.50 | 3.00 | 2.50 | 4 | 1.000 | 5.5 | 9.5 | 15.0 | 0 | 0 | 3 | 7 | 1 | 0 | 43.0 | 15 | 38 | 33 | 0 | 40.0 | 10.0 | 10.50 | 21.0 | 2.00 | 1.00 | 50.00% | 3.00 | 1.00 | 66.67% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 24.50 | 17.00 | 22.50 | 7.00 | 12.50 | 6.50 | 69.2% | 12.8% | 92.5% | 105.3 | LUCKY |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.50 | 4.00 | 0.50 | 2 | 0.500 | 4.5 | 8.0 | 12.5 | 0 | 0 | 4 | 4 | 1 | 0 | 35.5 | 25 | 21 | 25 | 0 | 34.0 | 9.0 | 4.00 | 15.5 | 5.00 | 0.00 | 0.00% | 2.00 | 0.50 | 75.00% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 24.50 | 17.00 | 22.50 | 7.50 | 12.00 | 6.50 | 56.3% | 12.7% | 88.2% | 100.9 | FUN |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 1.50 | 2.00 | 2 | 0.500 | 3.5 | 6.5 | 10.0 | 0 | 0 | 2 | 4 | 1 | 0 | 44.5 | 33 | 25 | 31 | 0 | 25.0 | 5.5 | 6.00 | 29.0 | 3.50 | 0.50 | 14.29% | 3.00 | 0.00 | 100.00% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 25.50 | 18.50 | 21.50 | 6.50 | 12.00 | 6.00 | 66.7% | 7.9% | 94.0% | 101.9 | DULL |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 1.50 | 0.50 | 2 | 0.500 | 2.0 | 4.0 | 6.0 | 0 | 0 | 1 | 1 | 2 | 0 | 23.5 | 12 | 14 | 21 | 0 | 31.0 | 4.0 | 4.00 | 24.0 | 4.00 | 1.00 | 25.00% | 2.00 | 0.00 | 100.00% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 21.50 | 14.50 | 25.50 | 7.00 | 12.00 | 5.50 | 40.0% | 8.5% | 95.2% | 103.7 | DULL |
_Vs Division | 11 | 7 | 3 | 0 | 0 | 1 | 0 | 0 | 4.09 | 2.82 | 1.27 | 15 | 0.682 | 4.1 | 7.4 | 11.5 | 0 | 0 | 17 | 19 | 9 | 0 | 35.7 | 117 | 134 | 141 | 1 | 30.8 | 7.9 | 7.18 | 21.4 | 3.91 | 1.09 | 27.91% | 3.00 | 0.55 | 81.82% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 24.09 | 16.73 | 23.64 | 7.18 | 12.36 | 6.18 | 56.9% | 11.5% | 90.9% | 102.3 | FUN | |
_Vs Conference | 11 | 7 | 3 | 0 | 0 | 1 | 0 | 0 | 4.09 | 2.82 | 1.27 | 15 | 0.682 | 4.1 | 7.4 | 11.5 | 0 | 0 | 17 | 19 | 9 | 0 | 35.7 | 117 | 134 | 141 | 1 | 30.8 | 7.9 | 7.18 | 21.4 | 3.91 | 1.09 | 27.91% | 3.00 | 0.55 | 81.82% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 24.09 | 16.73 | 23.64 | 7.18 | 12.36 | 6.18 | 56.9% | 11.5% | 90.9% | 102.3 | FUN | |
_Since Last GM Reset | 11 | 7 | 3 | 0 | 0 | 1 | 0 | 0 | 4.09 | 2.82 | 1.27 | 15 | 0.682 | 4.1 | 7.4 | 11.5 | 0 | 0 | 17 | 19 | 9 | 0 | 35.7 | 117 | 134 | 141 | 1 | 30.8 | 7.9 | 7.18 | 21.4 | 3.91 | 1.09 | 27.91% | 3.00 | 0.55 | 81.82% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 24.09 | 16.73 | 23.64 | 7.18 | 12.36 | 6.18 | 56.9% | 11.5% | 90.9% | 102.3 | FUN | |
Total | 11 | 7 | 3 | 0 | 0 | 1 | 0 | 0 | 4.09 | 2.82 | 1.27 | 15 | 0.682 | 4.1 | 7.4 | 11.5 | 0 | 0 | 17 | 19 | 9 | 0 | 35.7 | 117 | 134 | 141 | 1 | 30.8 | 7.9 | 7.18 | 21.4 | 3.91 | 1.09 | 27.91% | 3.00 | 0.55 | 81.82% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 24.09 | 16.73 | 23.64 | 7.18 | 12.36 | 6.18 | 56.9% | 11.5% | 90.9% | 102.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 424 |
Neutral Zone Start | 182 |
Defensive Zone Start | 406 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 495 |
Faceoffs Lost | 517 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.6 | 9.57 |
2nd Period | 22.8 | 20.31 |
3rd Period | 35.6 | 30.68 |
Overtime | 35.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 3.3 | 1.65 |
3rd Period | 4.1 | 2.67 |
Overtime | 4.1 | 2.83 |
Even Strenght Goal | 33 |
---|---|
PP Goal | 12 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 5 | 2 |
Lost | 1 | 2 |
Overtime Lost | 0 | 1 |
PP Attempt | 43 |
---|---|
PP Goal | 12 |
PK Attempt | 33 |
PK Goal Against | 6 |
Home | |
---|---|
Shots For | 35.7 |
Shots Against | 30.8 |
Goals For | 4.1 |
Goals Against | 2.8 |
Hits | 21.4 |
Shots Blocked | 7.9 |
Pim | 7.2 |
![]() | |
Total Salaries | 81,494,667$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 60) | 51 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 16 |
LTIR Players | 0 |
Butchers Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Stolarz | G | 30 | 2,150,000$ | 2,150,000$ | 2,150,000$ | 2,150,000$ | UFA | |||||
Caleb Jones | D | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | ||||||
Dean Kukan | D | 30 | 450,000$ | 450,000$ | 450,000$ | UFA | ||||||
Dylan Cozens | C/LW | 23 | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | UFA |
Filip Chlapik | C/LW | 27 | 450,000$ | 450,000$ | 450,000$ | UFA | ||||||
Jake Guentzel | C/LW | 29 | 8,200,000$ | 8,200,000$ | 8,200,000$ | 8,200,000$ | 8,200,000$ | 8,200,000$ | UFA | |||
Joey Anderson | RW | 26 | 800,000$ | 800,000$ | 800,000$ | RFA | ||||||
Jordan Harris | D | 23 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | RFA | |||||
Laurent Brossoit | G | 31 | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | ||||||
Marc Staal | D | 37 | 550,000$ | 550,000$ | 550,000$ | UFA | ||||||
Mitchell Marner | RW | 27 | 10,903,000$ | 10,903,000$ | 10,903,000$ | 10,903,000$ | UFA | |||||
Nils Lundkvist | D | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | ||||||
Quinn Hughes | D | 24 | 7,850,000$ | 7,850,000$ | 7,850,000$ | 7,850,000$ | 7,850,000$ | 7,850,000$ | UFA | |||
Reid Boucher | RW | 30 | 450,000$ | 450,000$ | 450,000$ | UFA | ||||||
Roope Hintz | C/LW | 27 | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | |
Sam Reinhart | C/RW | 28 | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||||||
Shayne Gostisbehere | D | 31 | 6,100,000$ | 6,100,000$ | 6,100,000$ | 6,100,000$ | 6,100,000$ | UFA | ||||
Thomas Bordeleau | C | 22 | 916,667$ | 916,667$ | 916,667$ | RFA | ||||||
Tim Stutzle | C/LW | 22 | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | |
Timothy Liljegren | D | 25 | 1,400,000$ | 1,400,000$ | 1,400,000$ | RFA | ||||||
Trevor Moore | C/LW/RW | 29 | 4,200,000$ | 4,200,000$ | 4,200,000$ | UFA | ||||||
Wyatt Johnston | C | 21 | 875,000$ | 875,000$ | 875,000$ | RFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Ingram | C | 20 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Aidan McDonough | LW | 24 | 925,000$ | 92,500$ | 92,500$ | RFA | ||||||
Alex Laferriere | RW | 22 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Anton Krasotkin | G | 27 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Artemi Knyazev | D | 23 | 789,167$ | 78,917$ | 78,917$ | RFA | ||||||
Arturs Silovs | G | 23 | 786,111$ | 78,611$ | 78,611$ | RFA | ||||||
Barrett Hall | C | 20 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Cameron Lund | C | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Carson Latimer | RW | 21 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Daimon Gardner | C | 20 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | RFA | |||||
Denton Mateychuk | D | 19 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Hunter McKown | C | 21 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Jakub Malek | G | 22 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Kasper Puutio | D | 22 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Keegan Kolesar | RW | 27 | 1,400,000$ | 140,000$ | 140,000$ | 140,000$ | UFA | |||||
Lassi Thomson | D | 23 | 863,333$ | 86,333$ | 86,333$ | RFA | ||||||
Marat Khusnutdinov | C/LW | 21 | 925,000$ | 92,500$ | 92,500$ | 92,500$ | RFA | |||||
Marcus Sylvegard | RW | 25 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Matt Rempe | C/RW | 22 | 820,000$ | 82,000$ | 82,000$ | 82,000$ | RFA | |||||
Max McCue | C | 21 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Rhett Pitlick | LW | 23 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Ryan Merkley | D | 23 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Samu Tuomaala | RW | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Samuel Knazko | D | 21 | 847,500$ | 84,750$ | 84,750$ | 84,750$ | RFA | |||||
Sergei Murashov | G | 20 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | RFA | |||||
Skyler Brind'Amour | C | 24 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Tnias Mathurin | D | 20 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
William Wallinder | D | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Xavier Simoneau | C | 23 | 855,000$ | 85,500$ | 85,500$ | 85,500$ | RFA |
Forward Lines | |||||||
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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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6.00 | 4.00 | 2.00 | 2 | 1.000 | 6.0 | 11.0 | 17.0 | 0 | 0 | 1 | 3 | 2 | 0 | 31.0 | 4 | 14 | 13 | 0 | 31.0 | 11.0 | 14.00 | 24.0 | 3.00 | 2.00 | 66.67% | 7.00 | 1.00 | 85.71% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 24.00 | 17.00 | 24.00 | 7.00 | 11.00 | 4.00 | 57.1% | 19.4% | 87.1% | 106.5 | FUN |
2 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4.00 | 3.50 | 0.50 | 3 | 0.750 | 4.0 | 7.0 | 11.0 | 0 | 0 | 6 | 0 | 2 | 0 | 34.5 | 28 | 22 | 18 | 1 | 24.0 | 9.5 | 8.00 | 16.0 | 5.50 | 2.50 | 45.45% | 3.00 | 1.00 | 66.67% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 23.00 | 15.50 | 25.00 | 7.00 | 12.50 | 6.00 | 37.5% | 11.6% | 85.4% | 97.0 | FUN |
3 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.50 | 3.00 | 2.50 | 4 | 1.000 | 5.5 | 9.5 | 15.0 | 0 | 0 | 3 | 7 | 1 | 0 | 43.0 | 15 | 38 | 33 | 0 | 40.0 | 10.0 | 10.50 | 21.0 | 2.00 | 1.00 | 50.00% | 3.00 | 1.00 | 66.67% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 24.50 | 17.00 | 22.50 | 7.00 | 12.50 | 6.50 | 69.2% | 12.8% | 92.5% | 105.3 | LUCKY |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.50 | 4.00 | 0.50 | 2 | 0.500 | 4.5 | 8.0 | 12.5 | 0 | 0 | 4 | 4 | 1 | 0 | 35.5 | 25 | 21 | 25 | 0 | 34.0 | 9.0 | 4.00 | 15.5 | 5.00 | 0.00 | 0.00% | 2.00 | 0.50 | 75.00% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 24.50 | 17.00 | 22.50 | 7.50 | 12.00 | 6.50 | 56.3% | 12.7% | 88.2% | 100.9 | FUN |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 1.50 | 2.00 | 2 | 0.500 | 3.5 | 6.5 | 10.0 | 0 | 0 | 2 | 4 | 1 | 0 | 44.5 | 33 | 25 | 31 | 0 | 25.0 | 5.5 | 6.00 | 29.0 | 3.50 | 0.50 | 14.29% | 3.00 | 0.00 | 100.00% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 25.50 | 18.50 | 21.50 | 6.50 | 12.00 | 6.00 | 66.7% | 7.9% | 94.0% | 101.9 | DULL |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 1.50 | 0.50 | 2 | 0.500 | 2.0 | 4.0 | 6.0 | 0 | 0 | 1 | 1 | 2 | 0 | 23.5 | 12 | 14 | 21 | 0 | 31.0 | 4.0 | 4.00 | 24.0 | 4.00 | 1.00 | 25.00% | 2.00 | 0.00 | 100.00% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 21.50 | 14.50 | 25.50 | 7.00 | 12.00 | 5.50 | 40.0% | 8.5% | 95.2% | 103.7 | DULL |
_Vs Division | 11 | 7 | 3 | 0 | 0 | 1 | 0 | 0 | 4.09 | 2.82 | 1.27 | 15 | 0.682 | 4.1 | 7.4 | 11.5 | 0 | 0 | 17 | 19 | 9 | 0 | 35.7 | 117 | 134 | 141 | 1 | 30.8 | 7.9 | 7.18 | 21.4 | 3.91 | 1.09 | 27.91% | 3.00 | 0.55 | 81.82% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 24.09 | 16.73 | 23.64 | 7.18 | 12.36 | 6.18 | 56.9% | 11.5% | 90.9% | 102.3 | FUN | |
_Vs Conference | 11 | 7 | 3 | 0 | 0 | 1 | 0 | 0 | 4.09 | 2.82 | 1.27 | 15 | 0.682 | 4.1 | 7.4 | 11.5 | 0 | 0 | 17 | 19 | 9 | 0 | 35.7 | 117 | 134 | 141 | 1 | 30.8 | 7.9 | 7.18 | 21.4 | 3.91 | 1.09 | 27.91% | 3.00 | 0.55 | 81.82% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 24.09 | 16.73 | 23.64 | 7.18 | 12.36 | 6.18 | 56.9% | 11.5% | 90.9% | 102.3 | FUN | |
_Since Last GM Reset | 11 | 7 | 3 | 0 | 0 | 1 | 0 | 0 | 4.09 | 2.82 | 1.27 | 15 | 0.682 | 4.1 | 7.4 | 11.5 | 0 | 0 | 17 | 19 | 9 | 0 | 35.7 | 117 | 134 | 141 | 1 | 30.8 | 7.9 | 7.18 | 21.4 | 3.91 | 1.09 | 27.91% | 3.00 | 0.55 | 81.82% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 24.09 | 16.73 | 23.64 | 7.18 | 12.36 | 6.18 | 56.9% | 11.5% | 90.9% | 102.3 | FUN | |
Total | 11 | 7 | 3 | 0 | 0 | 1 | 0 | 0 | 4.09 | 2.82 | 1.27 | 15 | 0.682 | 4.1 | 7.4 | 11.5 | 0 | 0 | 17 | 19 | 9 | 0 | 35.7 | 117 | 134 | 141 | 1 | 30.8 | 7.9 | 7.18 | 21.4 | 3.91 | 1.09 | 27.91% | 3.00 | 0.55 | 81.82% | 0 | 211 | 424 | 49.76% | 192 | 406 | 47.29% | 92 | 182 | 50.55% | 24.09 | 16.73 | 23.64 | 7.18 | 12.36 | 6.18 | 56.9% | 11.5% | 90.9% | 102.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 424 |
Neutral Zone Start | 182 |
Defensive Zone Start | 406 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 495 |
Faceoffs Lost | 517 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.6 | 9.57 |
2nd Period | 22.8 | 20.31 |
3rd Period | 35.6 | 30.68 |
Overtime | 35.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 3.3 | 1.65 |
3rd Period | 4.1 | 2.67 |
Overtime | 4.1 | 2.83 |
Even Strenght Goal | 33 |
---|---|
PP Goal | 12 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 5 | 2 |
Lost | 1 | 2 |
Overtime Lost | 0 | 1 |
PP Attempt | 43 |
---|---|
PP Goal | 12 |
PK Attempt | 33 |
PK Goal Against | 6 |
Home | |
---|---|
Shots For | 35.7 |
Shots Against | 30.8 |
Goals For | 4.1 |
Goals Against | 2.8 |
Hits | 21.4 |
Shots Blocked | 7.9 |
Pim | 7.2 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | ![]() | @ | ![]() | BUT6,STO4 | RECAP | |||||||||
5 | ![]() | @ | ![]() | STO2,BUT5 | RECAP | |||||||||
7 | ![]() | @ | ![]() | TIT1,BUT3 | RECAP | |||||||||
9 | ![]() | @ | ![]() | BUT1,TIT2 | RECAP | |||||||||
14 | ![]() | @ | ![]() | MET5,BUT3 | RECAP | |||||||||
18 | ![]() | @ | ![]() | WOL4,BUT6 | RECAP | |||||||||
22 | ![]() | @ | ![]() | MAV3,BUT5 | RECAP | |||||||||
24 | ![]() | @ | ![]() | BUT1,AVG2 | RECAP | |||||||||
25 | ![]() | @ | ![]() | BUT3,MAV4 (OT) | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
27 | ![]() | @ | ![]() | BUT6,MET3 | RECAP | |||||||||
29 | ![]() | @ | ![]() | AVG1,BUT6 | RECAP | |||||||||
30 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,494,667$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Regina | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
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![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 20$ | 200$ |
Attendance | 0 | 0 | 0 | 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 |
0 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,494,667$ | 81,494,667$ | 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$ | 4 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 122,529,784$ | 122,529,784$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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2025 | ![]() ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
AJ Spellacy | ![]() | 2024 | 94 | 0 | |
Alexander Siryatsky | ![]() | 2024 | 178 | 0 | |
Andrei Loshko | ![]() | 2023 | 132 | - | Link |
Carson Bjarnason | ![]() | 2023 | 71 | - | Link |
Chase Pietila | ![]() | 2024 | 150 | 0 | |
EJ Emery | ![]() | 2024 | 38 | 0 | |
Gavin Brindley | ![]() | 2023 | 43 | - | Link |
Gregor Biber | ![]() | 2024 | 122 | 0 | |
Leo Sahlin Wallenius | ![]() | 2024 | 66 | 0 | |
Oliver Bonk | ![]() | 2023 | 28 | - | Link |
Samu Bau | ![]() | 2023 | 183 | - | Link |
Sutter Muzzatti | ![]() | 2023 | 155 | - | Link |
Tij Iginla | ![]() | 2024 | 10 | 0 | |
Tom Willander | ![]() | 2023 | 15 | - | Link |
Yegor Zavragin | ![]() | 2023 | 99 | - | Link |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
---|---|---|---|---|---|---|---|
2025 | ![]() ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
AJ Spellacy | ![]() | 2024 | 94 | 0 | |
Alexander Siryatsky | ![]() | 2024 | 178 | 0 | |
Andrei Loshko | ![]() | 2023 | 132 | - | Link |
Carson Bjarnason | ![]() | 2023 | 71 | - | Link |
Chase Pietila | ![]() | 2024 | 150 | 0 | |
EJ Emery | ![]() | 2024 | 38 | 0 | |
Gavin Brindley | ![]() | 2023 | 43 | - | Link |
Gregor Biber | ![]() | 2024 | 122 | 0 | |
Leo Sahlin Wallenius | ![]() | 2024 | 66 | 0 | |
Oliver Bonk | ![]() | 2023 | 28 | - | Link |
Samu Bau | ![]() | 2023 | 183 | - | Link |
Sutter Muzzatti | ![]() | 2023 | 155 | - | Link |
Tij Iginla | ![]() | 2024 | 10 | 0 | |
Tom Willander | ![]() | 2023 | 15 | - | Link |
Yegor Zavragin | ![]() | 2023 | 99 | - | Link |
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