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Full Scoreboard >> |
![]() | Regina Butchers 2-4-0, 4pts · 12th 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 | 32 | 37 | 83 | 12 | 57 | 87 | 88 | 92 | 34 | 99 | 84 | 83 | 47 | 63 | 64 | 84 | 75 | 84 | 23 | 895,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 50 | 39 | 82 | 26 | 66 | 77 | 92 | 77 | 33 | 79 | 85 | 83 | 38 | 74 | 78 | 80 | 75 | 80 | 30 | 6,750,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 76 | 53 | 78 | 31 | 61 | 59 | 80 | 76 | 34 | 78 | 86 | 63 | 25 | 48 | 48 | 79 | 75 | 79 | 24 | 700,000$/2yrs | |||
![]() | 0 | C | 100.00 | 39 | 38 | 81 | 27 | 63 | 74 | 87 | 77 | 92 | 86 | 81 | 61 | 68 | 77 | 78 | 76 | 75 | 76 | 29 | 4,050,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 57 | 40 | 83 | 27 | 72 | 68 | 87 | 81 | 70 | 76 | 86 | 55 | 25 | 58 | 59 | 76 | 75 | 76 | 23 | 812,000$/1yrs | |||
![]() | 0 | C | 100.00 | 39 | 38 | 82 | 32 | 66 | 75 | 93 | 75 | 91 | 84 | 79 | 80 | 25 | 69 | 71 | 76 | 75 | 76 | 25 | 2,937,500$/2yrs | |||
![]() | 0 | LW | 100.00 | 43 | 39 | 78 | 26 | 69 | 80 | 66 | 79 | 39 | 91 | 82 | 49 | 55 | 73 | 74 | 75 | 75 | 75 | 28 | 6,600,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 36 | 38 | 82 | 30 | 64 | 85 | 93 | 74 | 41 | 79 | 84 | 61 | 63 | 66 | 66 | 74 | 75 | 74 | 24 | 3,650,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 32 | 38 | 87 | 41 | 74 | 63 | 91 | 64 | 84 | 68 | 80 | 83 | 75 | 70 | 72 | 72 | 75 | 72 | 28 | 2,075,000$/1yrs | |||
![]() | 0 | C | 100.00 | 85 | 79 | 80 | 44 | 80 | 68 | 81 | 61 | 94 | 73 | 77 | 87 | 25 | 68 | 70 | 72 | 75 | 72 | 27 | 2,916,666$/3yrs | |||
![]() | 0 | RW | 100.00 | 50 | 39 | 87 | 41 | 62 | 64 | 72 | 76 | 45 | 67 | 79 | 82 | 25 | 49 | 49 | 72 | 75 | 72 | 22 | 925,000$/2yrs | |||
![]() | 0 | C | 100.00 | 50 | 39 | 86 | 41 | 62 | 59 | 68 | 64 | 74 | 75 | 80 | 76 | 25 | 46 | 46 | 71 | 75 | 71 | 26 | 450,000$/1yrs | |||
![]() | 0 | D | 100.00 | 39 | 38 | 82 | 42 | 64 | 83 | 93 | 82 | 25 | 89 | 72 | 99 | 25 | 72 | 74 | 84 | 75 | 84 | 26 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 55 | 40 | 81 | 40 | 75 | 93 | 83 | 85 | 25 | 88 | 75 | 85 | 25 | 70 | 72 | 80 | 75 | 80 | 25 | 5,400,000$/2yrs | |||
![]() | 0 | D | 100.00 | 21 | 36 | 82 | 34 | 54 | 84 | 70 | 97 | 25 | 99 | 75 | 61 | 25 | 52 | 52 | 79 | 75 | 79 | 20 | 875,000$/2yrs | |||
![]() | 0 | D | 100.00 | 68 | 50 | 77 | 51 | 68 | 80 | 85 | 75 | 25 | 80 | 75 | 86 | 25 | 65 | 66 | 76 | 75 | 76 | 27 | 900,000$/2yrs | |||
![]() | 0 | D | 100.00 | 46 | 38 | 79 | 42 | 52 | 75 | 84 | 83 | 25 | 85 | 74 | 78 | 25 | 59 | 61 | 76 | 75 | 76 | 26 | 1,400,000$/2yrs | |||
![]() | 0 | D | 100.00 | 87 | 42 | 77 | 44 | 79 | 72 | 49 | 79 | 25 | 81 | 79 | 64 | 25 | 45 | 45 | 71 | 75 | 71 | 28 | 725,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 50 | 39 | 85 | 31 | 60 | 57 | 85 | 82 | 43 | 73 | 84 | 58 | 80 | 58 | 59 | 75 | 75 | 75 | 24 | 1,900,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 64 | 40 | 79 | 41 | 70 | 78 | 91 | 71 | 97 | 71 | 80 | 65 | 63 | 71 | 73 | 69 | 75 | 69 | 27 | 3,750,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 36 | 37 | 87 | 43 | 60 | 58 | 78 | 62 | 34 | 74 | 78 | 67 | 25 | 67 | 68 | 68 | 75 | 68 | 27 | 2,225,000$/1yrs | |||
![]() | 0 | D | 100.00 | 39 | 38 | 87 | 42 | 61 | 74 | 84 | 85 | 25 | 90 | 76 | 48 | 25 | 61 | 62 | 69 | 75 | 69 | 25 | 3,733,333$/1yrs | |||
TEAM AVERAGE | 100.00 | 50 | 42 | 82 | 36 | 65 | 73 | 82 | 77 | 49 | 81 | 80 | 72 | 38 | 63 | 64 | 75 | 75 | 75 |
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 | 83 | 72 | 68 | 76 | 97 | 89 | 94 | 92 | 99 | 93 | 75 | 47 | 47 | 81 | 75 | 81 | 25 | 874,125$/2yrs |
![]() | 0 | 99.00 | 77 | 66 | 65 | 74 | 95 | 90 | 89 | 94 | 96 | 92 | 95 | 59 | 59 | 76 | 75 | 76 | 25 | 900,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 69 | 57 | 58 | 80 | 96 | 87 | 89 | 91 | 98 | 92 | 71 | 64 | 65 | 74 | 75 | 74 | 36 | 1,430,000$/1yrs |
TEAM AVERAGE | 99.67 | 76 | 65 | 64 | 77 | 96 | 89 | 91 | 92 | 98 | 92 | 80 | 57 | 57 | 77 | 75 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Alain Vigneault | 80 | 83 | 84 | 84 | 87 | 81 | 59 | CAN | 58 | 3 | 450,000$ |
General Manager | Simon Duguay |
---|
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 | Chris Tierney | ![]() | 0 | C | 6 | 3 | 4 | 7 | -4 | 0 | 0 | 3 | 20 | 3 | 12 | 15.00% | 3 | 17.40 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 52.87% | 87 | 5 | 1 | 0 | 0 | 1.34 | 0 | 0 |
2 | Quinn Hughes | ![]() | 0 | D | 6 | 0 | 5 | 5 | -4 | 2 | 0 | 0 | 9 | 5 | 6 | 0.00% | 3 | 20.66 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 3 | 0 | 0 | 0 | 0.81 | 0 | 0 |
3 | Nicolas Aube-Kubel | ![]() | 0 | C/RW | 6 | 3 | 2 | 5 | -1 | 0 | 0 | 7 | 18 | 7 | 8 | 16.67% | 0 | 13.79 | 1 | 1 | 2 | 0 | 0 | 0 | 4 | 0 | 0 | 16.67% | 6 | 1 | 1 | 0 | 0 | 1.21 | 0 | 0 |
4 | Matt Duchene | ![]() | 0 | C | 6 | 2 | 3 | 5 | -2 | 2 | 0 | 12 | 11 | 5 | 7 | 18.18% | 1 | 17.42 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 60.92% | 87 | 1 | 0 | 0 | 0 | 0.96 | 0 | 0 |
5 | Taylor Hall | ![]() | 0 | LW | 6 | 1 | 4 | 5 | -1 | 0 | 0 | 6 | 16 | 7 | 14 | 6.25% | 1 | 17.21 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 70.00% | 10 | 1 | 0 | 0 | 0 | 0.97 | 0 | 0 |
6 | Stephen Johns | ![]() | 0 | D | 6 | 1 | 3 | 4 | -4 | 2 | 0 | 20 | 4 | 5 | 4 | 25.00% | 3 | 17.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 3 | 0 | 0 | 0 | 0.76 | 0 | 0 |
7 | Mitchell Marner | ![]() | 0 | RW | 6 | 3 | 1 | 4 | -2 | 0 | 0 | 3 | 19 | 9 | 9 | 15.79% | 3 | 17.93 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 60.00% | 5 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 |
8 | Jonas Brodin | ![]() | 0 | D | 6 | 0 | 4 | 4 | -1 | 2 | 0 | 6 | 7 | 1 | 3 | 0.00% | 10 | 24.08 | 0 | 2 | 2 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 1 | 4 | 0 | 0 | 0.55 | 0 | 0 |
9 | Seth Jones | ![]() | 0 | D | 6 | 0 | 4 | 4 | 0 | 0 | 0 | 12 | 15 | 3 | 3 | 0.00% | 8 | 23.56 | 0 | 1 | 1 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 2 | 2 | 0 | 0 | 0.57 | 0 | 0 |
10 | Sam Reinhart | ![]() | 0 | C/RW | 6 | 2 | 1 | 3 | -4 | 2 | 0 | 3 | 13 | 6 | 8 | 15.38% | 0 | 15.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 33.33% | 6 | 1 | 0 | 0 | 0 | 0.66 | 0 | 0 |
11 | Roope Hintz | ![]() | 0 | C/LW | 6 | 3 | 0 | 3 | -5 | 2 | 0 | 12 | 12 | 5 | 6 | 25.00% | 2 | 17.68 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 81.82% | 11 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 |
12 | Joey Anderson | ![]() | 0 | RW | 6 | 2 | 1 | 3 | 2 | 0 | 0 | 5 | 15 | 6 | 6 | 13.33% | 1 | 14.12 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 25.00% | 4 | 5 | 2 | 0 | 0 | 0.71 | 0 | 0 |
13 | Adam Lowry | ![]() | 0 | C | 6 | 0 | 2 | 2 | -1 | 9 | 5 | 13 | 4 | 3 | 3 | 0.00% | 4 | 12.61 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 54.84% | 62 | 2 | 1 | 0 | 0 | 0.53 | 0 | 0 |
14 | Matt Grzelcyk | ![]() | 0 | D | 6 | 0 | 2 | 2 | 2 | 2 | 0 | 5 | 6 | 4 | 8 | 0.00% | 5 | 18.67 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 1 | 2 | 0 | 0 | 0.36 | 0 | 0 |
15 | Joel Kellman | ![]() | 0 | C | 6 | 0 | 2 | 2 | 2 | 0 | 0 | 5 | 9 | 2 | 3 | 0.00% | 1 | 11.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 50 | 3 | 0 | 0 | 0 | 0.59 | 0 | 0 |
16 | Alex Killorn | ![]() | 0 | LW | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 3 | 0 | 1 | 0.00% | 0 | 10.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.84 | 0 | 0 |
17 | Riley Sheahan | ![]() | 0 | C/LW | 6 | 1 | 0 | 1 | 1 | 0 | 0 | 2 | 8 | 1 | 2 | 12.50% | 1 | 12.32 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 100.00% | 1 | 1 | 0 | 0 | 0 | 0.27 | 1 | 1 |
18 | Boone Jenner | ![]() | 0 | C/LW | 5 | 1 | 0 | 1 | -2 | 0 | 0 | 4 | 7 | 0 | 2 | 14.29% | 2 | 10.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 3 | 1 | 0 | 0 | 0 | 0.39 | 0 | 0 |
19 | Dylan DeMelo | ![]() | 0 | D | 6 | 0 | 1 | 1 | -5 | 8 | 0 | 3 | 9 | 2 | 4 | 0.00% | 6 | 16.34 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 3 | 1 | 0 | 0 | 0.20 | 0 | 0 |
Team Total or Average | 108 | 22 | 40 | 62 | -28 | 31 | 5 | 122 | 205 | 74 | 109 | 10.73% | 54 | 16.56 | 5 | 9 | 14 | 133 | 0 | 0 | 0 | 88 | 2 | 1 | 54.22% | 332 | 34 | 14 | 0 | 0 | 0.69 | 1 | 1 |
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 | Joonas Korpisalo | ![]() | 3 | 1 | 2 | 0 | 0.870 | 4.26 | 183 | 0 | 0 | 13 | 100 | 43 | 0 | 1 | 0.000 | 0 | 3 | 3 | 0 | 0 | 0 |
2 | Elvis Merzlikins | ![]() | 3 | 1 | 2 | 0 | 0.874 | 3.67 | 180 | 0 | 0 | 11 | 87 | 50 | 0 | 0 | 0.000 | 0 | 3 | 3 | 0 | 0 | 0 |
Team Total or Average | 6 | 2 | 4 | 0 | 0.872 | 3.97 | 363 | 0 | 0 | 24 | 187 | 93 | 0 | 1 | 0.000 | 0 | 6 | 6 | 0 | 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 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 3 | 3 | 2 | 0 | 74 | 24 | 25 | 25 | 0 | 55 | 17 | 6 | 46 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 73 | 134 | 54.48% | 60 | 107 | 56.07% | 47 | 88 | 53.41% | 49 | 33 | 41 | 14 | 28 | 15 | 61.5% | 10.8% | 89.1% | 99.9 | FUN |
2 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 12 | 18 | 1 | 0 | 3 | 2 | 1 | 0 | 62 | 24 | 19 | 19 | 0 | 72 | 20 | 4 | 39 | 6 | 2 | 33.33% | 2 | 1 | 50.00% | 0 | 73 | 134 | 54.48% | 60 | 107 | 56.07% | 47 | 88 | 53.41% | 48 | 32 | 40 | 14 | 31 | 16 | 33.3% | 9.7% | 87.5% | 97.2 | FUN |
3 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 1 | 1 | 37 | 17 | 9 | 8 | 3 | 31 | 5 | 6 | 18 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 73 | 134 | 54.48% | 60 | 107 | 56.07% | 47 | 88 | 53.41% | 25 | 16 | 21 | 9 | 16 | 8 | 42.9% | 13.5% | 87.1% | 100.6 | FUN |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 32 | 11 | 9 | 12 | 0 | 30 | 12 | 15 | 19 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 73 | 134 | 54.48% | 60 | 107 | 56.07% | 47 | 88 | 53.41% | 23 | 16 | 22 | 7 | 13 | 6 | 28.6% | 9.4% | 80.0% | 89.4 | FUN |
_Vs Division | 6 | 1 | 4 | 0 | 1 | 0 | 0 | 0 | 22 | 25 | -3 | 4 | 0.333 | 22 | 40 | 62 | 1 | 0 | 8 | 8 | 5 | 1 | 205 | 76 | 62 | 64 | 3 | 188 | 54 | 31 | 122 | 15 | 5 | 33.33% | 14 | 3 | 78.57% | 0 | 73 | 134 | 54.48% | 60 | 107 | 56.07% | 47 | 88 | 53.41% | 147 | 98 | 125 | 46 | 90 | 47 | 43.6% | 10.7% | 86.7% | 97.4 | FUN | |
_Vs Conference | 6 | 1 | 4 | 0 | 1 | 0 | 0 | 0 | 22 | 25 | -3 | 4 | 0.333 | 22 | 40 | 62 | 1 | 0 | 8 | 8 | 5 | 1 | 205 | 76 | 62 | 64 | 3 | 188 | 54 | 31 | 122 | 15 | 5 | 33.33% | 14 | 3 | 78.57% | 0 | 73 | 134 | 54.48% | 60 | 107 | 56.07% | 47 | 88 | 53.41% | 147 | 98 | 125 | 46 | 90 | 47 | 43.6% | 10.7% | 86.7% | 97.4 | FUN | |
_Since Last GM Reset | 6 | 1 | 4 | 0 | 1 | 0 | 0 | 0 | 22 | 25 | -3 | 4 | 0.333 | 22 | 40 | 62 | 1 | 0 | 8 | 8 | 5 | 1 | 205 | 76 | 62 | 64 | 3 | 188 | 54 | 31 | 122 | 15 | 5 | 33.33% | 14 | 3 | 78.57% | 0 | 73 | 134 | 54.48% | 60 | 107 | 56.07% | 47 | 88 | 53.41% | 147 | 98 | 125 | 46 | 90 | 47 | 43.6% | 10.7% | 86.7% | 97.4 | FUN | |
Total | 6 | 1 | 4 | 0 | 1 | 0 | 0 | 0 | 22 | 25 | -3 | 4 | 0.333 | 22 | 40 | 62 | 1 | 0 | 8 | 8 | 5 | 1 | 205 | 76 | 62 | 64 | 3 | 188 | 54 | 31 | 122 | 15 | 5 | 33.33% | 14 | 3 | 78.57% | 0 | 73 | 134 | 54.48% | 60 | 107 | 56.07% | 47 | 88 | 53.41% | 147 | 98 | 125 | 46 | 90 | 47 | 43.6% | 10.7% | 86.7% | 97.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 15 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 134 |
Neutral Zone Start | 88 |
Defensive Zone Start | 107 |
Puck Time | |
---|---|
With Puck | 32 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 180 |
Faceoffs Lost | 149 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.7 | 9.57 |
2nd Period | 23.0 | 20.31 |
3rd Period | 33.7 | 30.68 |
Overtime | 34.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.7 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 3.7 | 2.83 |
Even Strenght Goal | 16 |
---|---|
PP Goal | 5 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 2 | 0 |
Lost | 1 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 15 |
---|---|
PP Goal | 5 |
PK Attempt | 14 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 34.2 |
Shots Against | 31.3 |
Goals For | 3.7 |
Goals Against | 4.2 |
Hits | 20.3 |
Shots Blocked | 9.0 |
Pim | 5.2 |
![]() | |
Total Salaries | 75,619,653$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 79,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 55) | 53 |
Goalies Signed (min. 6) | 5 |
Defensemen Signed (min. 16) | 16 |
LTIR Players | 0 |
Butchers Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 39 |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Lowry | C | 27 | 2,916,666$ | 2,916,666$ | 2,916,666$ | 2,916,666$ | 2,916,666$ | UFA | ||||
Alex Killorn | LW | 30 | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | UFA | ||||
Boone Jenner | C/LW | 27 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | ||||
Chris Tierney | C | 25 | 2,937,500$ | 2,937,500$ | 2,937,500$ | 2,937,500$ | RFA | |||||
Curtis McElhinney | G | 36 | 1,430,000$ | 1,430,000$ | 1,430,000$ | UFA | ||||||
Dylan DeMelo | D | 27 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Elvis Merzlikins | G | 25 | 874,125$ | 874,125$ | 874,125$ | 874,125$ | RFA | |||||
Joel Kellman | C | 26 | 450,000$ | 450,000$ | 450,000$ | RFA | ||||||
Joey Anderson | RW | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Jonas Brodin | D | 26 | 2,500,000$ | 2,500,000$ | 2,500,000$ | RFA | ||||||
Joonas Korpisalo | G | 25 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Matt Duchene | C | 29 | 4,050,000$ | 4,050,000$ | 4,050,000$ | 4,050,000$ | 4,050,000$ | UFA | ||||
Matt Grzelcyk | D | 26 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | |||||
Mitchell Marner | RW | 23 | 895,000$ | 895,000$ | 895,000$ | RFA | ||||||
Nicolas Aube-Kubel | C/RW | 24 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | RFA | |||||
Quinn Hughes | D | 20 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
Riley Sheahan | C/LW | 28 | 2,075,000$ | 2,075,000$ | 2,075,000$ | UFA | ||||||
Roope Hintz | C/LW | 23 | 812,000$ | 812,000$ | 812,000$ | RFA | ||||||
Ryan Donato | C/LW | 24 | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | RFA | |||||
Sam Reinhart | C/RW | 24 | 3,650,000$ | 3,650,000$ | 3,650,000$ | RFA | ||||||
Seth Jones | D | 25 | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | RFA | |||||
Stephen Johns | D | 28 | 725,000$ | 725,000$ | 725,000$ | UFA | ||||||
Taylor Hall | LW | 28 | 6,600,000$ | 6,600,000$ | 6,600,000$ | UFA | ||||||
Tobias Rieder | C/LW/RW | 27 | 2,225,000$ | 2,225,000$ | 2,225,000$ | UFA | ||||||
Will Butcher | D | 25 | 3,733,333$ | 3,733,333$ | 3,733,333$ | RFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 39 |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Galchenyuk | C/LW | 26 | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | UFA | |||||
Alex Kannok-Leipert | D | 19 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Axel Andersson | D | 20 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Brandon Kruse | LW | 21 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
Brandon Pirri | C/LW/RW | 29 | 650,000$ | 65,000$ | 65,000$ | UFA | ||||||
Brendan Gaunce | C/LW | 26 | 750,000$ | 75,000$ | 75,000$ | 75,000$ | UFA | |||||
Carson Meyer | RW | 22 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Devin Shore | C/LW | 25 | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | RFA | |||||
Dmitrij Jaskin | LW/RW | 27 | 900,000$ | 90,000$ | 90,000$ | 90,000$ | 90,000$ | UFA | ||||
Dylan Wells | G | 22 | 745,000$ | 74,500$ | 74,500$ | RFA | ||||||
Filip Westerlund | D | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Guillaume Brisebois | D | 22 | 697,500$ | 69,750$ | 69,750$ | RFA | ||||||
J.C. Beaudin | C/RW | 23 | 765,000$ | 76,500$ | 76,500$ | RFA | ||||||
Jack Roslovic | C/RW | 23 | 895,000$ | 89,500$ | 89,500$ | RFA | ||||||
Janne Kuokkanen | C/LW | 22 | 811,666$ | 81,167$ | 81,167$ | 81,167$ | 81,167$ | RFA | ||||
Jonathan Ang | C | 22 | 745,000$ | 74,500$ | 74,500$ | 74,500$ | RFA | |||||
Jordan Harris | D | 19 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Keegan Kolesar | RW | 23 | 702,000$ | 70,200$ | 70,200$ | RFA | ||||||
Nick Bjugstad | C/RW | 27 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | UFA | |||||
Nils Lundkvist | D | 19 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Oscar Dansk | G | 26 | 675,000$ | 67,500$ | 67,500$ | 67,500$ | UFA | |||||
Oscar Lindberg | C/LW | 28 | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | ||||||
Ryan MacInnis | C | 24 | 874,125$ | 87,413$ | 87,413$ | 87,413$ | RFA | |||||
Sebastian Walfridsson | D | 21 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Seth Barton | D | 20 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Timothy Liljegren | D | 21 | 875,000$ | 87,500$ | 87,500$ | RFA | ||||||
Trevor Moore | C/LW/RW | 25 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Tyler Weiss | LW | 20 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | 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 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 3 | 3 | 2 | 0 | 74 | 24 | 25 | 25 | 0 | 55 | 17 | 6 | 46 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 73 | 134 | 54.48% | 60 | 107 | 56.07% | 47 | 88 | 53.41% | 49 | 33 | 41 | 14 | 28 | 15 | 61.5% | 10.8% | 89.1% | 99.9 | FUN |
2 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 12 | 18 | 1 | 0 | 3 | 2 | 1 | 0 | 62 | 24 | 19 | 19 | 0 | 72 | 20 | 4 | 39 | 6 | 2 | 33.33% | 2 | 1 | 50.00% | 0 | 73 | 134 | 54.48% | 60 | 107 | 56.07% | 47 | 88 | 53.41% | 48 | 32 | 40 | 14 | 31 | 16 | 33.3% | 9.7% | 87.5% | 97.2 | FUN |
3 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 1 | 1 | 37 | 17 | 9 | 8 | 3 | 31 | 5 | 6 | 18 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 73 | 134 | 54.48% | 60 | 107 | 56.07% | 47 | 88 | 53.41% | 25 | 16 | 21 | 9 | 16 | 8 | 42.9% | 13.5% | 87.1% | 100.6 | FUN |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 32 | 11 | 9 | 12 | 0 | 30 | 12 | 15 | 19 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 73 | 134 | 54.48% | 60 | 107 | 56.07% | 47 | 88 | 53.41% | 23 | 16 | 22 | 7 | 13 | 6 | 28.6% | 9.4% | 80.0% | 89.4 | FUN |
_Vs Division | 6 | 1 | 4 | 0 | 1 | 0 | 0 | 0 | 22 | 25 | -3 | 4 | 0.333 | 22 | 40 | 62 | 1 | 0 | 8 | 8 | 5 | 1 | 205 | 76 | 62 | 64 | 3 | 188 | 54 | 31 | 122 | 15 | 5 | 33.33% | 14 | 3 | 78.57% | 0 | 73 | 134 | 54.48% | 60 | 107 | 56.07% | 47 | 88 | 53.41% | 147 | 98 | 125 | 46 | 90 | 47 | 43.6% | 10.7% | 86.7% | 97.4 | FUN | |
_Vs Conference | 6 | 1 | 4 | 0 | 1 | 0 | 0 | 0 | 22 | 25 | -3 | 4 | 0.333 | 22 | 40 | 62 | 1 | 0 | 8 | 8 | 5 | 1 | 205 | 76 | 62 | 64 | 3 | 188 | 54 | 31 | 122 | 15 | 5 | 33.33% | 14 | 3 | 78.57% | 0 | 73 | 134 | 54.48% | 60 | 107 | 56.07% | 47 | 88 | 53.41% | 147 | 98 | 125 | 46 | 90 | 47 | 43.6% | 10.7% | 86.7% | 97.4 | FUN | |
_Since Last GM Reset | 6 | 1 | 4 | 0 | 1 | 0 | 0 | 0 | 22 | 25 | -3 | 4 | 0.333 | 22 | 40 | 62 | 1 | 0 | 8 | 8 | 5 | 1 | 205 | 76 | 62 | 64 | 3 | 188 | 54 | 31 | 122 | 15 | 5 | 33.33% | 14 | 3 | 78.57% | 0 | 73 | 134 | 54.48% | 60 | 107 | 56.07% | 47 | 88 | 53.41% | 147 | 98 | 125 | 46 | 90 | 47 | 43.6% | 10.7% | 86.7% | 97.4 | FUN | |
Total | 6 | 1 | 4 | 0 | 1 | 0 | 0 | 0 | 22 | 25 | -3 | 4 | 0.333 | 22 | 40 | 62 | 1 | 0 | 8 | 8 | 5 | 1 | 205 | 76 | 62 | 64 | 3 | 188 | 54 | 31 | 122 | 15 | 5 | 33.33% | 14 | 3 | 78.57% | 0 | 73 | 134 | 54.48% | 60 | 107 | 56.07% | 47 | 88 | 53.41% | 147 | 98 | 125 | 46 | 90 | 47 | 43.6% | 10.7% | 86.7% | 97.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 15 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 134 |
Neutral Zone Start | 88 |
Defensive Zone Start | 107 |
Puck Time | |
---|---|
With Puck | 32 |
Without Puck | 28 |
Faceoffs | |
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Faceoffs Won | 180 |
Faceoffs Lost | 149 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.7 | 9.57 |
2nd Period | 23.0 | 20.31 |
3rd Period | 33.7 | 30.68 |
Overtime | 34.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.7 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 3.7 | 2.83 |
Even Strenght Goal | 16 |
---|---|
PP Goal | 5 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 2 | 0 |
Lost | 1 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 15 |
---|---|
PP Goal | 5 |
PK Attempt | 14 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 34.2 |
Shots Against | 31.3 |
Goals For | 3.7 |
Goals Against | 4.2 |
Hits | 20.3 |
Shots Blocked | 9.0 |
Pim | 5.2 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Thu, Jan 14 | ![]() | @ | ![]() | WOL2,BUT5 | RECAP | |||||||||
Fri, Jan 15 | ![]() | @ | ![]() | BUT4,MAV6 | RECAP | |||||||||
Mon, Jan 18 | ![]() | @ | ![]() | BUT3,MET6 | RECAP | |||||||||
Tue, Jan 19 | ![]() | @ | ![]() | STO4,BUT5 (OT) | RECAP | |||||||||
Thu, Jan 21 | ![]() | @ | ![]() | MAV3,BUT2 | RECAP | |||||||||
Sat, Jan 23 | ![]() | @ | ![]() | BUT3,WOL4 | RECAP | |||||||||
Sun, Jan 24 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
Tue, Jan 26 | ![]() | @ | ![]() | |||||||||||
Wed, Jan 27 | ![]() | @ | ![]() | |||||||||||
Fri, Jan 29 | ![]() | @ | ![]() | |||||||||||
Sun, Jan 31 | ![]() | @ | ![]() | |||||||||||
Mon, Feb 1 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
72,373,624$ | 0$ | 0$ | 79,000,000$ |
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 |
3 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
72,373,624$ | 72,373,624$ | 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$ | 11 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 139,022,542$ | 139,022,542$ |
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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2021 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2022 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2023 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Aidan McDonagh | ![]() | 2020 | 150 | ||
Alex Laferriere | ![]() | 2020 | 94 | ||
Alexander Daryin | ![]() | 2019 | 105 | ||
Artemi Knyazev | ![]() | 2019 | 49 | ||
Arturs Silovs | ![]() | 2019 | 161 | ||
Dylan Cozens | ![]() | 2019 | 10 | ||
Felix Bibeau | ![]() | 2019 | 189 | ||
Gianni Fairbrother | ![]() | 2019 | 77 | ||
Jaydon Dureau | ![]() | 2020 | 122 | ||
Lassi Thomson | ![]() | 2019 | 21 | ||
Marat Khusnutdinov | ![]() | 2020 | 38 | ||
Samuel Knazko | ![]() | 2020 | 66 | ||
Thomas Bordeleau | ![]() | 2020 | 39 | ||
Tim Stutzle | ![]() | 2020 | 2 | ||
Trevor Janicke | ![]() | 2019 | 133 | ||
Xavier Simoneau | ![]() | 2020 | 178 |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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2021 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2022 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2023 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Aidan McDonagh | ![]() | 2020 | 150 | ||
Alex Laferriere | ![]() | 2020 | 94 | ||
Alexander Daryin | ![]() | 2019 | 105 | ||
Artemi Knyazev | ![]() | 2019 | 49 | ||
Arturs Silovs | ![]() | 2019 | 161 | ||
Dylan Cozens | ![]() | 2019 | 10 | ||
Felix Bibeau | ![]() | 2019 | 189 | ||
Gianni Fairbrother | ![]() | 2019 | 77 | ||
Jaydon Dureau | ![]() | 2020 | 122 | ||
Lassi Thomson | ![]() | 2019 | 21 | ||
Marat Khusnutdinov | ![]() | 2020 | 38 | ||
Samuel Knazko | ![]() | 2020 | 66 | ||
Thomas Bordeleau | ![]() | 2020 | 39 | ||
Tim Stutzle | ![]() | 2020 | 2 | ||
Trevor Janicke | ![]() | 2019 | 133 | ||
Xavier Simoneau | ![]() | 2020 | 178 |
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