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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | St. Jerome Average Joes 5-6-0, 10pts · 2nd 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 | C | 100.00 | 41 | 40 | 79 | 28 | 75 | 61 | 96 | 70 | 99 | 64 | 78 | 91 | 18 | 99 | 99 | 86 | 75 | 84 | 35 | 6,875,000$/3yrs | |||
![]() | 0 | LW | 99.00 | 42 | 52 | 78 | 29 | 67 | 50 | 98 | 72 | 63 | 66 | 80 | 78 | 38 | 38 | 35 | 85 | 75 | 80 | 21 | 875,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 37 | 40 | 81 | 32 | 71 | 50 | 93 | 70 | 74 | 63 | 77 | 64 | 66 | 70 | 60 | 83 | 75 | 76 | 31 | 6,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 40 | 84 | 33 | 70 | 50 | 99 | 67 | 38 | 62 | 78 | 68 | 47 | 41 | 37 | 82 | 75 | 76 | 22 | 894,166$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 40 | 40 | 78 | 41 | 72 | 58 | 95 | 63 | 25 | 56 | 74 | 76 | 50 | 73 | 71 | 76 | 75 | 74 | 30 | 2,500,000$/5yrs | |||
![]() | 0 | C/LW | 100.00 | 32 | 40 | 79 | 37 | 75 | 50 | 99 | 70 | 32 | 74 | 71 | 67 | 47 | 39 | 36 | 79 | 75 | 74 | 23 | 811,666$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 49 | 76 | 45 | 75 | 50 | 79 | 63 | 81 | 61 | 69 | 78 | 47 | 58 | 48 | 72 | 75 | 71 | 32 | 925,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 85 | 56 | 83 | 44 | 73 | 50 | 55 | 65 | 66 | 64 | 69 | 71 | 76 | 44 | 40 | 73 | 75 | 70 | 27 | 850,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 63 | 40 | 84 | 48 | 79 | 50 | 79 | 55 | 74 | 54 | 68 | 77 | 45 | 92 | 73 | 70 | 75 | 69 | 36 | 600,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 72 | 40 | 80 | 45 | 74 | 50 | 99 | 58 | 66 | 56 | 70 | 57 | 47 | 43 | 38 | 72 | 75 | 67 | 23 | 925,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 73 | 52 | 74 | 49 | 82 | 50 | 68 | 57 | 74 | 52 | 69 | 64 | 45 | 54 | 46 | 69 | 75 | 66 | 24 | 1,250,000$/1yrs | |||
![]() | 0 | C | 100.00 | 85 | 99 | 76 | 53 | 97 | 40 | 60 | 53 | 85 | 52 | 61 | 73 | 33 | 35 | 34 | 45 | 75 | 50 | 21 | 450,000$/3yrs | |||
![]() | 0 | D | 100.00 | 37 | 40 | 80 | 34 | 78 | 75 | 95 | 82 | 25 | 84 | 70 | 85 | 45 | 82 | 65 | 95 | 75 | 90 | 33 | 2,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 37 | 40 | 80 | 43 | 74 | 99 | 98 | 71 | 25 | 75 | 68 | 80 | 18 | 49 | 42 | 81 | 75 | 82 | 21 | 894,166$/1yrs | |||
![]() | 0 | D | 100.00 | 36 | 40 | 80 | 46 | 79 | 71 | 99 | 68 | 25 | 76 | 66 | 78 | 45 | 92 | 99 | 76 | 75 | 76 | 36 | 3,900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 50 | 64 | 75 | 51 | 87 | 67 | 73 | 58 | 25 | 63 | 65 | 84 | 45 | 66 | 55 | 70 | 75 | 75 | 30 | 4,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 58 | 40 | 80 | 49 | 75 | 50 | 79 | 58 | 25 | 69 | 67 | 85 | 45 | 59 | 53 | 72 | 75 | 74 | 30 | 4,275,000$/2yrs | |||
![]() | 0 | D | 100.00 | 80 | 45 | 76 | 54 | 86 | 50 | 99 | 51 | 25 | 50 | 62 | 82 | 45 | 47 | 41 | 65 | 75 | 69 | 29 | 450,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 93.14 | 41 | 40 | 73 | 25 | 77 | 63 | 98 | 80 | 67 | 85 | 75 | 68 | 59 | 63 | 63 | 88 | 75 | 82 | 28 | 5,900,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 32 | 40 | 79 | 41 | 73 | 50 | 5 | 66 | 43 | 68 | 69 | 75 | 90 | 40 | 45 | 75 | 75 | 72 | 25 | 2,600,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 69 | 40 | 85 | 47 | 78 | 50 | 34 | 55 | 74 | 57 | 68 | 89 | 45 | 52 | 47 | 71 | 75 | 72 | 32 | 600,000$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 40 | 80 | 51 | 83 | 50 | 73 | 57 | 25 | 57 | 66 | 87 | 45 | 73 | 60 | 70 | 75 | 74 | 30 | 7,400,000$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 57 | 72 | 51 | 79 | 85 | 30 | 61 | 25 | 60 | 59 | 63 | 72 | 53 | 45 | 62 | 75 | 65 | 31 | 1,000,000$/1yrs | |||
TEAM AVERAGE | 99.66 | 54 | 47 | 79 | 42 | 77 | 57 | 78 | 64 | 50 | 64 | 70 | 76 | 48 | 59 | 54 | 75 | 75 | 73 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 87 | 85 | 95 | 60 | 87 | 91 | 88 | 86 | 88 | 88 | 76 | 55 | 52 | 91 | 75 | 92 | 26 | 1,500,000$/2yrs |
![]() | 0 | 100.00 | 82 | 67 | 90 | 73 | 83 | 94 | 84 | 84 | 84 | 82 | 76 | 84 | 81 | 80 | 75 | 82 | 34 | 7,700,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 85 | 76 | 93 | 67 | 85 | 93 | 86 | 85 | 86 | 85 | 76 | 70 | 67 | 86 | 75 | 87 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Todd Reirden | 83 | 85 | 92 | 79 | 72 | 67 | 77 | USA | 49 | 3 | 0$ |
General Manager | Mika Laakso |
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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 | Alec Martinez | ![]() | 0 | D | 11 | 2 | 13 | 15 | 4 | 14 | 0 | 5 | 34 | 14 | 11 | 5.88% | 16 | 25.23 | 0 | 2 | 2 | 0 | 1 | 1 | 52 | 1 | 0 | 0.00% | 0 | 10 | 6 | 0 | 0 | 1.08 | 0 | 0 |
2 | Patrice Bergeron | ![]() | 0 | C | 11 | 4 | 6 | 10 | 0 | 2 | 0 | 16 | 40 | 11 | 26 | 10.00% | 15 | 20.96 | 1 | 1 | 2 | 0 | 1 | 1 | 60 | 0 | 0 | 63.45% | 238 | 7 | 3 | 1 | 0 | 0.87 | 0 | 0 |
3 | Joel Farabee | ![]() | 0 | LW | 11 | 5 | 3 | 8 | -3 | 2 | 0 | 8 | 33 | 13 | 26 | 15.15% | 10 | 20.70 | 1 | 1 | 2 | 1 | 0 | 1 | 71 | 1 | 2 | 58.82% | 17 | 8 | 1 | 0 | 0 | 0.70 | 0 | 0 |
4 | Phil Di Giuseppe | ![]() | 0 | LW/RW | 11 | 0 | 6 | 6 | 5 | 0 | 0 | 27 | 26 | 8 | 17 | 0.00% | 2 | 12.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 4 | 11 | 0 | 0 | 0 | 0.89 | 0 | 0 |
5 | Michael Raffl | ![]() | 0 | LW/RW | 11 | 3 | 2 | 5 | 6 | 10 | 0 | 17 | 28 | 9 | 24 | 10.71% | 6 | 13.62 | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 2 | 0 | 45.45% | 22 | 3 | 0 | 0 | 0 | 0.67 | 0 | 0 |
6 | Janne Kuokkanen | ![]() | 0 | C/LW | 11 | 2 | 3 | 5 | -1 | 4 | 0 | 4 | 26 | 10 | 20 | 7.69% | 0 | 15.62 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 0 | 2 | 28.17% | 142 | 8 | 1 | 0 | 0 | 0.58 | 0 | 0 |
7 | Miro Heiskanen | ![]() | 0 | D | 11 | 2 | 3 | 5 | 4 | 10 | 0 | 7 | 16 | 9 | 5 | 12.50% | 18 | 26.01 | 1 | 0 | 1 | 0 | 0 | 0 | 57 | 0 | 0 | 0.00% | 0 | 2 | 5 | 0 | 0 | 0.35 | 0 | 0 |
8 | Mike Hoffman | ![]() | 0 | C/LW/RW | 11 | 1 | 3 | 4 | -4 | 0 | 0 | 7 | 19 | 10 | 20 | 5.26% | 2 | 15.80 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 61.11% | 18 | 9 | 1 | 0 | 0 | 0.46 | 0 | 0 |
9 | Ryan Suter | ![]() | 0 | D | 11 | 1 | 2 | 3 | -5 | 8 | 0 | 3 | 20 | 8 | 10 | 5.00% | 16 | 20.21 | 1 | 0 | 1 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 2 | 1 | 0 | 0 | 0.27 | 0 | 0 |
10 | Reilly Smith | ![]() | 0 | LW/RW | 9 | 2 | 1 | 3 | 0 | 4 | 0 | 17 | 16 | 7 | 10 | 12.50% | 2 | 14.89 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 50.00% | 6 | 6 | 3 | 0 | 0 | 0.45 | 0 | 0 |
11 | Jani Hakanpaa | ![]() | 0 | D | 11 | 1 | 1 | 2 | 0 | 6 | 0 | 25 | 11 | 6 | 4 | 9.09% | 22 | 16.68 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 0 | 5 | 0 | 0 | 0.22 | 0 | 0 |
12 | Ben Chiarot | ![]() | 0 | D | 11 | 0 | 2 | 2 | -4 | 14 | 0 | 26 | 17 | 7 | 10 | 0.00% | 19 | 19.87 | 0 | 1 | 1 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 1 | 8 | 0 | 0 | 0.18 | 0 | 0 |
13 | Eeli Tolvanen | ![]() | 0 | LW/RW | 11 | 2 | 0 | 2 | -1 | 2 | 0 | 35 | 18 | 10 | 15 | 11.11% | 6 | 17.13 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 1 | 0 | 33.33% | 9 | 3 | 2 | 0 | 0 | 0.21 | 0 | 0 |
14 | Nate Thompson | ![]() | 0 | C/LW | 11 | 1 | 0 | 1 | 4 | 4 | 0 | 16 | 10 | 3 | 6 | 10.00% | 2 | 13.93 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 52.38% | 84 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 |
15 | Brayden McNabb | ![]() | 0 | D | 9 | 0 | 1 | 1 | 0 | 2 | 0 | 5 | 10 | 3 | 2 | 0.00% | 8 | 15.49 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 4 | 0 | 0 | 0.14 | 0 | 0 |
16 | Jonathan Huberdeau | ![]() | 0 | LW | 2 | 1 | 0 | 1 | 1 | 2 | 0 | 4 | 6 | 0 | 2 | 16.67% | 1 | 16.78 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 33.33% | 15 | 2 | 0 | 0 | 0 | 0.60 | 0 | 0 |
17 | Carl Grundstrom | ![]() | 0 | LW/RW | 11 | 1 | 0 | 1 | -3 | 4 | 0 | 6 | 14 | 3 | 10 | 7.14% | 3 | 9.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 5 | 2 | 0 | 0 | 0 | 0.20 | 0 | 0 |
18 | Curtis Douglas | ![]() | 0 | C | 11 | 0 | 0 | 0 | -5 | 40 | 10 | 21 | 7 | 5 | 4 | 0.00% | 4 | 10.00 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 60.53% | 76 | 1 | 3 | 0 | 0 | 0.00 | 0 | 0 |
19 | Jake Virtanen | ![]() | 0 | RW | 11 | 0 | 0 | 0 | -3 | 4 | 0 | 14 | 8 | 4 | 7 | 0.00% | 1 | 9.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 8 | 0 | 0 | 0 | 0.00 | 0 | 0 |
20 | Calvin de Haan | ![]() | 0 | D | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 2 | 1 | 2 | 0.00% | 2 | 14.75 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 5 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 198 | 28 | 46 | 74 | -6 | 132 | 10 | 265 | 361 | 141 | 231 | 7.76% | 155 | 16.55 | 5 | 7 | 12 | 295 | 1 | 2 | 3 | 402 | 5 | 5 | 51.41% | 640 | 83 | 48 | 1 | 0 | 0.45 | 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 | Juuse Saros | ![]() | 11 | 5 | 4 | 2 | 0.910 | 2.91 | 661 | 0 | 0 | 32 | 355 | 191 | 0 | 0 | 0.000 | 0 | 11 | 0 | 1 | 0 | 1 |
2 | Tuukka Rask | ![]() | 1 | 0 | 0 | 0 | 0.600 | 9.23 | 13 | 0 | 0 | 2 | 5 | 3 | 0 | 0 | 0.000 | 0 | 0 | 11 | 0 | 0 | 0 |
Team Total or Average | 12 | 5 | 4 | 2 | 0.906 | 3.03 | 674 | 0 | 0 | 34 | 360 | 194 | 0 | 0 | 0.000 | 0 | 11 | 11 | 1 | 0 | 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 |
# | 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 | ![]() | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 2.25 | 3.25 | -1.00 | 2 | 0.250 | 2.3 | 3.8 | 6.0 | 0 | 0 | 4 | 2 | 3 | 0 | 32.8 | 50 | 33 | 46 | 2 | 36.0 | 16.5 | 11.00 | 23.5 | 3.75 | 0.50 | 13.33% | 5.50 | 1.00 | 81.82% | 0 | 124 | 248 | 50.00% | 137 | 255 | 53.73% | 68 | 137 | 49.64% | 21.25 | 12.75 | 23.50 | 8.75 | 15.75 | 8.00 | 43.8% | 6.9% | 91.0% | 97.8 | Unlucky |
2 | ![]() | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 2.71 | 3.00 | -0.29 | 8 | 0.571 | 2.7 | 4.4 | 7.1 | 0 | 0 | 7 | 8 | 3 | 1 | 32.9 | 68 | 93 | 58 | 11 | 30.9 | 12.7 | 12.57 | 24.4 | 2.57 | 0.43 | 16.67% | 4.86 | 0.86 | 82.35% | 1 | 124 | 248 | 50.00% | 137 | 255 | 53.73% | 68 | 137 | 49.64% | 21.00 | 12.43 | 24.86 | 9.00 | 15.86 | 7.71 | 51.6% | 8.3% | 90.3% | 98.5 | Unlucky |
_Vs Division | 11 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 2.55 | 3.09 | -0.55 | 10 | 0.455 | 2.5 | 4.2 | 6.7 | 0 | 0 | 11 | 10 | 6 | 1 | 32.8 | 118 | 126 | 104 | 13 | 32.7 | 14.1 | 12.00 | 24.1 | 3.00 | 0.45 | 15.15% | 5.09 | 0.91 | 82.14% | 1 | 124 | 248 | 50.00% | 137 | 255 | 53.73% | 68 | 137 | 49.64% | 21.09 | 12.55 | 24.36 | 8.91 | 15.82 | 7.82 | 48.9% | 7.8% | 90.6% | 98.3 | Unlucky | |
_Vs Conference | 11 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 2.55 | 3.09 | -0.55 | 10 | 0.455 | 2.5 | 4.2 | 6.7 | 0 | 0 | 11 | 10 | 6 | 1 | 32.8 | 118 | 126 | 104 | 13 | 32.7 | 14.1 | 12.00 | 24.1 | 3.00 | 0.45 | 15.15% | 5.09 | 0.91 | 82.14% | 1 | 124 | 248 | 50.00% | 137 | 255 | 53.73% | 68 | 137 | 49.64% | 21.09 | 12.55 | 24.36 | 8.91 | 15.82 | 7.82 | 48.9% | 7.8% | 90.6% | 98.3 | Unlucky | |
_Since Last GM Reset | 11 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 2.55 | 3.09 | -0.55 | 10 | 0.455 | 2.5 | 4.2 | 6.7 | 0 | 0 | 11 | 10 | 6 | 1 | 32.8 | 118 | 126 | 104 | 13 | 32.7 | 14.1 | 12.00 | 24.1 | 3.00 | 0.45 | 15.15% | 5.09 | 0.91 | 82.14% | 1 | 124 | 248 | 50.00% | 137 | 255 | 53.73% | 68 | 137 | 49.64% | 21.09 | 12.55 | 24.36 | 8.91 | 15.82 | 7.82 | 48.9% | 7.8% | 90.6% | 98.3 | Unlucky | |
Total | 11 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 2.55 | 3.09 | -0.55 | 10 | 0.455 | 2.5 | 4.2 | 6.7 | 0 | 0 | 11 | 10 | 6 | 1 | 32.8 | 118 | 126 | 104 | 13 | 32.7 | 14.1 | 12.00 | 24.1 | 3.00 | 0.45 | 15.15% | 5.09 | 0.91 | 82.14% | 1 | 124 | 248 | 50.00% | 137 | 255 | 53.73% | 68 | 137 | 49.64% | 21.09 | 12.55 | 24.36 | 8.91 | 15.82 | 7.82 | 48.9% | 7.8% | 90.6% | 98.3 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 15 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 248 |
Neutral Zone Start | 137 |
Defensive Zone Start | 255 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 32 |
Faceoffs | |
---|---|
Faceoffs Won | 329 |
Faceoffs Lost | 311 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.7 | 9.57 |
2nd Period | 22.2 | 20.31 |
3rd Period | 31.6 | 30.68 |
Overtime | 32.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 22 |
---|---|
PP Goal | 5 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 3 |
Lost | 4 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 33 |
---|---|
PP Goal | 5 |
PK Attempt | 56 |
PK Goal Against | 10 |
Home | |
---|---|
Shots For | 32.8 |
Shots Against | 32.7 |
Goals For | 2.5 |
Goals Against | 3.1 |
Hits | 24.1 |
Shots Blocked | 14.1 |
Pim | 12.0 |
![]() | |
Total Salaries | 67,733,883$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 81,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 60) | 58 |
Goalies Signed (min. 6) | 8 |
Defensemen Signed (min. 16) | 16 |
LTIR Players | 0 |
Average Joes Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alec Martinez | D | 33 | 2,000,000$ | 357,143$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Ben Chiarot | D | 30 | 4,500,000$ | 803,571$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Brayden McNabb | D | 30 | 7,400,000$ | 1,321,429$ | 7,400,000$ | 7,400,000$ | UFA | |||||
Calvin de Haan | D | 30 | 4,275,000$ | 763,393$ | 4,275,000$ | 4,275,000$ | UFA | |||||
Carl Grundstrom | LW/RW | 23 | 925,000$ | 165,179$ | 925,000$ | RFA | ||||||
Carter Rowney | C/RW | 32 | 600,000$ | 107,143$ | 600,000$ | UFA | ||||||
Curtis Douglas | C | 21 | 450,000$ | 80,357$ | 450,000$ | 450,000$ | 450,000$ | RFA | ||||
Eeli Tolvanen | LW/RW | 22 | 894,166$ | 159,673$ | 894,166$ | RFA | ||||||
Jake Virtanen | RW | 24 | 1,250,000$ | 223,214$ | 1,250,000$ | RFA | ||||||
Jani Hakanpaa | D | 29 | 450,000$ | 80,357$ | 450,000$ | 450,000$ | UFA | |||||
Janne Kuokkanen | C/LW | 23 | 811,666$ | 144,940$ | 811,666$ | 811,666$ | RFA | |||||
Joel Farabee | LW | 21 | 875,000$ | 156,250$ | 875,000$ | RFA | ||||||
Jonathan Huberdeau | LW | 28 | 5,900,000$ | 1,053,571$ | 5,900,000$ | 5,900,000$ | UFA | |||||
Juuse Saros | G | 26 | 1,500,000$ | 267,857$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Kevin Connauton | D | 31 | 1,000,000$ | 178,571$ | 1,000,000$ | UFA | ||||||
Michael Raffl | LW/RW | 32 | 925,000$ | 165,179$ | 925,000$ | 925,000$ | UFA | |||||
Mike Hoffman | C/LW/RW | 31 | 6,000,000$ | 1,071,429$ | 6,000,000$ | 6,000,000$ | UFA | |||||
Miro Heiskanen | D | 21 | 894,166$ | 159,673$ | 894,166$ | RFA | ||||||
Nate Thompson | C/LW | 36 | 600,000$ | 107,143$ | 600,000$ | 600,000$ | UFA | |||||
Ondrej Kase | RW | 25 | 2,600,000$ | 464,286$ | 2,600,000$ | RFA | ||||||
Patrice Bergeron | C | 35 | 6,875,000$ | 1,227,679$ | 6,875,000$ | 6,875,000$ | 6,875,000$ | UFA | ||||
Phil Di Giuseppe | LW/RW | 27 | 850,000$ | 151,786$ | 850,000$ | UFA | ||||||
Reilly Smith | LW/RW | 30 | 2,500,000$ | 446,429$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||
Ryan Suter | D | 36 | 3,900,000$ | 696,429$ | 3,900,000$ | UFA | ||||||
Tuukka Rask | G | 34 | 7,700,000$ | 1,375,000$ | 7,700,000$ | 7,700,000$ | UFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Aleksi Heponiemi | C/RW | 22 | 925,000$ | 16,518$ | 92,500$ | 92,500$ | RFA | |||||
Andrei Altybarmakyan | RW | 22 | 817,500$ | 14,598$ | 81,750$ | 81,750$ | RFA | |||||
Arttu Ruotsalainen | C/LW | 23 | 925,000$ | 16,518$ | 92,500$ | 92,500$ | RFA | |||||
Austin Strand | D | 24 | 450,000$ | 8,036$ | 45,000$ | 45,000$ | RFA | |||||
Brayden Tracey | C/LW | 20 | 725,000$ | 12,946$ | 72,500$ | 72,500$ | RFA | |||||
Cameron Crotty | D | 22 | 925,000$ | 16,518$ | 92,500$ | 92,500$ | 92,500$ | RFA | ||||
Cole Koepke | LW | 23 | 450,000$ | 8,036$ | 45,000$ | 45,000$ | 45,000$ | RFA | ||||
Connor McMichael | C | 20 | 875,000$ | 15,625$ | 87,500$ | 87,500$ | RFA | |||||
Dmitri Voronkov | C/LW | 20 | 500,000$ | 8,929$ | 50,000$ | 50,000$ | RFA | |||||
Eemeli Suomi | C/LW | 25 | 700,000$ | 12,500$ | 70,000$ | 70,000$ | RFA | |||||
Evan Cormier | G | 23 | 450,000$ | 8,036$ | 45,000$ | 45,000$ | RFA | |||||
Filip Cederqvist | C/LW | 20 | 475,000$ | 8,482$ | 47,500$ | 47,500$ | RFA | |||||
Hunter Jones | G | 20 | 625,000$ | 11,161$ | 62,500$ | 62,500$ | RFA | |||||
Jack Kopacka | LW/RW | 23 | 745,000$ | 13,304$ | 74,500$ | RFA | ||||||
Jacob Olofsson | C | 21 | 725,000$ | 12,946$ | 72,500$ | RFA | ||||||
Jakub Zboril | D | 24 | 863,333$ | 15,417$ | 86,333$ | RFA | ||||||
John Adams | C/RW | 24 | 450,000$ | 8,036$ | 45,000$ | 45,000$ | RFA | |||||
Joni Ikonen | C | 22 | 450,000$ | 8,036$ | 45,000$ | 45,000$ | RFA | |||||
Justus Annunen | G | 21 | 625,000$ | 11,161$ | 62,500$ | RFA | ||||||
Kristian Tanus | C/LW | 20 | 450,000$ | 8,036$ | 45,000$ | 45,000$ | RFA | |||||
Liam Kirk | C/LW | 21 | 450,000$ | 8,036$ | 45,000$ | 45,000$ | 45,000$ | RFA | ||||
Lucas Johansen | D | 23 | 700,000$ | 12,500$ | 70,000$ | RFA | ||||||
Lukas Dostal | G | 21 | 550,000$ | 9,821$ | 55,000$ | RFA | ||||||
Michael McNiven | G | 23 | 450,000$ | 8,036$ | 45,000$ | 45,000$ | RFA | |||||
Riley Hughes | RW | 21 | 450,000$ | 8,036$ | 45,000$ | 45,000$ | 45,000$ | RFA | ||||
Ryan Shea | D | 24 | 450,000$ | 8,036$ | 45,000$ | 45,000$ | RFA | |||||
Sampo Ranta | LW/RW | 21 | 625,000$ | 11,161$ | 62,500$ | RFA | ||||||
Simon Benoit | D | 22 | 500,000$ | 8,929$ | 50,000$ | 50,000$ | RFA | |||||
Spencer Stastney | D | 21 | 500,000$ | 8,929$ | 50,000$ | RFA | ||||||
Tanner Kaspick | C | 23 | 738,889$ | 13,194$ | 73,889$ | RFA | ||||||
Tyson Jost | C/LW | 23 | 874,125$ | 15,609$ | 87,413$ | RFA | ||||||
Ville Husso | G | 26 | 700,000$ | 12,500$ | 70,000$ | 70,000$ | UFA | |||||
Vladislav Yeryomenko | D | 22 | 450,000$ | 8,036$ | 45,000$ | 45,000$ | 45,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 2.25 | 3.25 | -1.00 | 2 | 0.250 | 2.3 | 3.8 | 6.0 | 0 | 0 | 4 | 2 | 3 | 0 | 32.8 | 50 | 33 | 46 | 2 | 36.0 | 16.5 | 11.00 | 23.5 | 3.75 | 0.50 | 13.33% | 5.50 | 1.00 | 81.82% | 0 | 124 | 248 | 50.00% | 137 | 255 | 53.73% | 68 | 137 | 49.64% | 21.25 | 12.75 | 23.50 | 8.75 | 15.75 | 8.00 | 43.8% | 6.9% | 91.0% | 97.8 | Unlucky |
2 | ![]() | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 2.71 | 3.00 | -0.29 | 8 | 0.571 | 2.7 | 4.4 | 7.1 | 0 | 0 | 7 | 8 | 3 | 1 | 32.9 | 68 | 93 | 58 | 11 | 30.9 | 12.7 | 12.57 | 24.4 | 2.57 | 0.43 | 16.67% | 4.86 | 0.86 | 82.35% | 1 | 124 | 248 | 50.00% | 137 | 255 | 53.73% | 68 | 137 | 49.64% | 21.00 | 12.43 | 24.86 | 9.00 | 15.86 | 7.71 | 51.6% | 8.3% | 90.3% | 98.5 | Unlucky |
_Vs Division | 11 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 2.55 | 3.09 | -0.55 | 10 | 0.455 | 2.5 | 4.2 | 6.7 | 0 | 0 | 11 | 10 | 6 | 1 | 32.8 | 118 | 126 | 104 | 13 | 32.7 | 14.1 | 12.00 | 24.1 | 3.00 | 0.45 | 15.15% | 5.09 | 0.91 | 82.14% | 1 | 124 | 248 | 50.00% | 137 | 255 | 53.73% | 68 | 137 | 49.64% | 21.09 | 12.55 | 24.36 | 8.91 | 15.82 | 7.82 | 48.9% | 7.8% | 90.6% | 98.3 | Unlucky | |
_Vs Conference | 11 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 2.55 | 3.09 | -0.55 | 10 | 0.455 | 2.5 | 4.2 | 6.7 | 0 | 0 | 11 | 10 | 6 | 1 | 32.8 | 118 | 126 | 104 | 13 | 32.7 | 14.1 | 12.00 | 24.1 | 3.00 | 0.45 | 15.15% | 5.09 | 0.91 | 82.14% | 1 | 124 | 248 | 50.00% | 137 | 255 | 53.73% | 68 | 137 | 49.64% | 21.09 | 12.55 | 24.36 | 8.91 | 15.82 | 7.82 | 48.9% | 7.8% | 90.6% | 98.3 | Unlucky | |
_Since Last GM Reset | 11 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 2.55 | 3.09 | -0.55 | 10 | 0.455 | 2.5 | 4.2 | 6.7 | 0 | 0 | 11 | 10 | 6 | 1 | 32.8 | 118 | 126 | 104 | 13 | 32.7 | 14.1 | 12.00 | 24.1 | 3.00 | 0.45 | 15.15% | 5.09 | 0.91 | 82.14% | 1 | 124 | 248 | 50.00% | 137 | 255 | 53.73% | 68 | 137 | 49.64% | 21.09 | 12.55 | 24.36 | 8.91 | 15.82 | 7.82 | 48.9% | 7.8% | 90.6% | 98.3 | Unlucky | |
Total | 11 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 2.55 | 3.09 | -0.55 | 10 | 0.455 | 2.5 | 4.2 | 6.7 | 0 | 0 | 11 | 10 | 6 | 1 | 32.8 | 118 | 126 | 104 | 13 | 32.7 | 14.1 | 12.00 | 24.1 | 3.00 | 0.45 | 15.15% | 5.09 | 0.91 | 82.14% | 1 | 124 | 248 | 50.00% | 137 | 255 | 53.73% | 68 | 137 | 49.64% | 21.09 | 12.55 | 24.36 | 8.91 | 15.82 | 7.82 | 48.9% | 7.8% | 90.6% | 98.3 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 15 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 248 |
Neutral Zone Start | 137 |
Defensive Zone Start | 255 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 32 |
Faceoffs | |
---|---|
Faceoffs Won | 329 |
Faceoffs Lost | 311 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.7 | 9.57 |
2nd Period | 22.2 | 20.31 |
3rd Period | 31.6 | 30.68 |
Overtime | 32.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 22 |
---|---|
PP Goal | 5 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 3 |
Lost | 4 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 33 |
---|---|
PP Goal | 5 |
PK Attempt | 56 |
PK Goal Against | 10 |
Home | |
---|---|
Shots For | 32.8 |
Shots Against | 32.7 |
Goals For | 2.5 |
Goals Against | 3.1 |
Hits | 24.1 |
Shots Blocked | 14.1 |
Pim | 12.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sat, Jul 9 | ![]() | @ | ![]() | BUT2,AVG1 | RECAP | |||||||||
Mon, Jul 11 | ![]() | @ | ![]() | BUT3,AVG2 (OT) | RECAP | |||||||||
Wed, Jul 13 | ![]() | @ | ![]() | AVG3,BUT7 | RECAP | |||||||||
Fri, Jul 15 | ![]() | @ | ![]() | AVG3,BUT2 | RECAP | |||||||||
Sun, Jul 17 | ![]() | @ | ![]() | BUT1,AVG2 | RECAP | |||||||||
Tue, Jul 19 | ![]() | @ | ![]() | AVG4,BUT3 | RECAP | |||||||||
Thu, Jul 21 | ![]() | @ | ![]() | BUT3,AVG4 (OT) | RECAP | |||||||||
Sat, Jul 23 | ![]() | @ | ![]() | STO4,AVG3 (OT) | RECAP | |||||||||
Mon, Jul 25 | ![]() | @ | ![]() | STO5,AVG1 | RECAP | |||||||||
Wed, Jul 27 | ![]() | @ | ![]() | AVG1,STO2 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
Fri, Jul 29 | ![]() | @ | ![]() | AVG4,STO2 | RECAP | |||||||||
Sun, Jul 31 | ![]() | @ | ![]() | |||||||||||
Tue, Aug 2 | ![]() | @ | ![]() | |||||||||||
Thu, Aug 4 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
65,674,998$ | 0$ | 0$ | 81,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | St. Jerome | ||
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 | 33869 | 28328 | 11041 | 22091 | 5621 |
Attendance PCT | 94.08% | 94.43% | 92.01% | 92.05% | 93.68% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
35 | 16825 - 93.47% | 1,173,173$ | 7,039,035$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
65,674,998$ | 65,674,998$ | 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$ | 5 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 79,884,612$ | 79,884,612$ |
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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2022 | ![]() | ![]() | ![]() ![]() ![]() | ![]() | ![]() | ![]() | |
2023 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() | ![]() |
2024 | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Alexei Kolosov | ![]() | 2021 | 81 | ||
Ben Roger | ![]() | 2021 | 53 | ||
Corson Ceulemans | ![]() | 2021 | 25 | ||
Dawson Mercer | ![]() | 2020 | 15 | ||
Eemil Viro | ![]() | 2020 | 71 | ||
Eetu Liukas | ![]() | 2021 | 165 | ||
Henrik Tikkanen | ![]() | 2020 | 183 | ||
Jan Mysak | ![]() | 2020 | 43 | ||
Jesper Vikman | ![]() | 2020 | 127 | ||
Juho Markkanen | ![]() | 2020 | 99 | ||
Kyle Aucoin | ![]() | 2020 | 155 | ||
Leo Loof | ![]() | 2020 | 83 | ||
Ryan Mast | ![]() | 2021 | 193 | ||
Topias Vilen | ![]() | 2021 | 137 | ||
Zachary L'Heureux | ![]() | 2021 | 28 |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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2022 | ![]() | ![]() | ![]() ![]() ![]() | ![]() | ![]() | ![]() | |
2023 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() | ![]() |
2024 | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Alexei Kolosov | ![]() | 2021 | 81 | ||
Ben Roger | ![]() | 2021 | 53 | ||
Corson Ceulemans | ![]() | 2021 | 25 | ||
Dawson Mercer | ![]() | 2020 | 15 | ||
Eemil Viro | ![]() | 2020 | 71 | ||
Eetu Liukas | ![]() | 2021 | 165 | ||
Henrik Tikkanen | ![]() | 2020 | 183 | ||
Jan Mysak | ![]() | 2020 | 43 | ||
Jesper Vikman | ![]() | 2020 | 127 | ||
Juho Markkanen | ![]() | 2020 | 99 | ||
Kyle Aucoin | ![]() | 2020 | 155 | ||
Leo Loof | ![]() | 2020 | 83 | ||
Ryan Mast | ![]() | 2021 | 193 | ||
Topias Vilen | ![]() | 2021 | 137 | ||
Zachary L'Heureux | ![]() | 2021 | 28 |
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