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Full Scoreboard >> |
![]() | Tilburg Trappers 0-0-1, 1pts · 11th in World 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 | LW/RW | 100.00 | 25 | 36 | 85 | 22 | 51 | 68 | 81 | 88 | 34 | 96 | 82 | 45 | 80 | 52 | 52 | 77 | 75 | 77 | 27 | 3,750,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 53 | 39 | 86 | 30 | 64 | 76 | 73 | 77 | 40 | 75 | 88 | 71 | 25 | 57 | 58 | 76 | 75 | 76 | 23 | 925,000$/3yrs | |||
![]() | 0 | C | 100.00 | 50 | 39 | 82 | 32 | 63 | 75 | 78 | 72 | 96 | 77 | 84 | 76 | 25 | 82 | 86 | 75 | 75 | 75 | 34 | 5,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 50 | 39 | 79 | 31 | 69 | 65 | 90 | 80 | 42 | 72 | 85 | 62 | 54 | 76 | 78 | 75 | 75 | 75 | 30 | 3,000,000$/2yrs | |||
![]() | 22 | LW | 100.00 | 39 | 39 | 82 | 31 | 69 | 74 | 86 | 75 | 40 | 75 | 86 | 70 | 35 | 74 | 78 | 75 | 75 | 75 | 27 | 3,750,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 66 | 49 | 75 | 31 | 58 | 69 | 89 | 78 | 42 | 75 | 84 | 66 | 25 | 67 | 69 | 75 | 75 | 75 | 27 | 2,650,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 50 | 39 | 78 | 30 | 67 | 70 | 71 | 74 | 36 | 79 | 85 | 54 | 63 | 66 | 68 | 74 | 75 | 74 | 25 | 5,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 39 | 38 | 84 | 37 | 64 | 76 | 88 | 70 | 84 | 79 | 80 | 77 | 61 | 78 | 83 | 73 | 75 | 73 | 30 | 3,500,000$/2yrs | |||
![]() | 0 | C | 100.00 | 39 | 38 | 88 | 36 | 60 | 59 | 61 | 74 | 59 | 86 | 78 | 68 | 25 | 54 | 55 | 73 | 75 | 73 | 26 | 575,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 39 | 65 | 69 | 38 | 61 | 62 | 93 | 67 | 61 | 77 | 80 | 76 | 25 | 64 | 65 | 72 | 75 | 72 | 25 | 1,900,000$/1yrs | |||
![]() | 0 | C | 100.00 | 59 | 40 | 76 | 41 | 75 | 72 | 91 | 64 | 85 | 73 | 82 | 71 | 25 | 65 | 67 | 71 | 75 | 71 | 26 | 2,200,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 46 | 38 | 84 | 37 | 52 | 64 | 87 | 73 | 40 | 81 | 77 | 69 | 63 | 62 | 62 | 71 | 75 | 71 | 26 | 1,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 43 | 38 | 75 | 31 | 58 | 78 | 82 | 95 | 25 | 98 | 79 | 50 | 80 | 64 | 64 | 80 | 75 | 80 | 24 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 64 | 52 | 79 | 51 | 78 | 61 | 68 | 75 | 25 | 80 | 76 | 82 | 25 | 66 | 68 | 74 | 75 | 74 | 31 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 55 | 39 | 78 | 42 | 63 | 78 | 85 | 83 | 25 | 88 | 75 | 64 | 75 | 64 | 65 | 74 | 75 | 74 | 26 | 3,387,500$/3yrs | |||
![]() | 0 | D | 100.00 | 46 | 50 | 78 | 47 | 72 | 82 | 77 | 77 | 25 | 77 | 76 | 77 | 25 | 73 | 75 | 72 | 75 | 72 | 29 | 3,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 50 | 79 | 49 | 79 | 81 | 92 | 74 | 25 | 75 | 74 | 76 | 75 | 73 | 75 | 72 | 75 | 72 | 29 | 2,125,000$/2yrs | |||
![]() | 0 | D | 100.00 | 28 | 37 | 82 | 40 | 66 | 78 | 93 | 95 | 25 | 99 | 73 | 38 | 25 | 83 | 86 | 71 | 75 | 71 | 33 | 7,500,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 43 | 38 | 85 | 38 | 61 | 63 | 66 | 72 | 34 | 75 | 83 | 70 | 45 | 57 | 57 | 72 | 75 | 72 | 23 | 500,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 75 | 62 | 80 | 38 | 84 | 67 | 78 | 72 | 77 | 76 | 80 | 64 | 25 | 56 | 56 | 71 | 75 | 71 | 25 | 850,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 50 | 39 | 85 | 39 | 62 | 67 | 85 | 74 | 37 | 78 | 78 | 53 | 25 | 63 | 64 | 69 | 75 | 69 | 25 | 700,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 36 | 37 | 83 | 38 | 57 | 57 | 61 | 74 | 44 | 81 | 78 | 60 | 25 | 47 | 47 | 69 | 75 | 69 | 27 | 475,000$/3yrs | |||
![]() | 0 | D | 100.00 | 84 | 42 | 81 | 49 | 76 | 78 | 92 | 74 | 25 | 79 | 75 | 68 | 62 | 83 | 85 | 69 | 75 | 69 | 33 | 1,625,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 50 | 43 | 81 | 37 | 66 | 70 | 81 | 76 | 45 | 80 | 80 | 66 | 43 | 66 | 68 | 73 | 75 | 73 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 82 | 82 | 78 | 62 | 97 | 97 | 88 | 98 | 97 | 97 | 95 | 55 | 57 | 76 | 75 | 76 | 26 | 4,400,000$/1yrs |
![]() | 0 | 100.00 | 64 | 70 | 70 | 85 | 92 | 88 | 86 | 91 | 94 | 90 | 67 | 66 | 49 | 64 | 75 | 64 | 26 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 73 | 76 | 74 | 74 | 95 | 93 | 87 | 95 | 96 | 94 | 81 | 61 | 53 | 70 | 75 | 70 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bill Peters | 75 | 85 | 86 | 80 | 83 | 77 | 65 | CAN | 55 | 2 | 0$ |
General Manager | Joeri Loonen |
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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 | Derek Stepan | ![]() | 0 | C | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 5 | 0 | 2 | 0.00% | 1 | 16.47 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 56.25% | 16 | 1 | 0 | 0 | 0 | 1.21 | 0 | 0 |
2 | Craig Smith | ![]() | 0 | RW | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 33.33% | 0 | 15.63 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 1.28 | 0 | 0 |
3 | Paul Stastny | ![]() | 0 | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0.00% | 0 | 19.83 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 78.95% | 19 | 1 | 1 | 0 | 0 | 0.00 | 0 | 0 |
4 | Keith Yandle | ![]() | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 2 | 0.00% | 0 | 16.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 |
5 | Robert Bortuzzo | ![]() | 0 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 0 | 1 | 3 | 0.00% | 1 | 21.92 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
6 | Tony DeAngelo | ![]() | 0 | D | 1 | 0 | 0 | 0 | -2 | 2 | 0 | 2 | 4 | 2 | 6 | 0.00% | 1 | 24.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 |
7 | Oskar Lindblom | ![]() | 0 | LW | 1 | 0 | 0 | 0 | -1 | 2 | 0 | 3 | 5 | 3 | 6 | 0.00% | 1 | 18.85 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 2 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 |
8 | Nikita Gusev | ![]() | 0 | LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 3 | 1 | 0 | 0.00% | 1 | 18.52 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 1 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 |
9 | Brandon Montour | ![]() | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 0 | 0 | 0.00% | 0 | 20.20 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 |
10 | Radek Faksa | ![]() | 0 | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0.00% | 0 | 11.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
11 | Travis Hamonic | ![]() | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 3 | 20.20 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 |
12 | David Savard | ![]() | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 0 | 0.00% | 0 | 17.22 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 |
13 | Brandon Saad | ![]() | 22 | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 10.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 |
14 | Vladislav Namestnikov | ![]() | 0 | C/LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 0.00% | 0 | 17.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
15 | Travis Boyd | ![]() | 0 | C | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 1 | 13.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
16 | Vinnie Hinostroza | ![]() | 0 | C/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 11.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
17 | Ryan Hartman | ![]() | 0 | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.00% | 1 | 9.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
18 | Jonathan Drouin | ![]() | 0 | LW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 3 | 0 | 0 | 0.00% | 0 | 12.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 18 | 1 | 1 | 2 | -8 | 4 | 0 | 21 | 37 | 11 | 25 | 2.70% | 10 | 16.48 | 1 | 1 | 2 | 25 | 0 | 0 | 0 | 15 | 0 | 0 | 60.00% | 55 | 6 | 5 | 0 | 0 | 0.13 | 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 | Jordan Binnington | ![]() | 1 | 0 | 0 | 1 | 0.935 | 2.00 | 60 | 0 | 0 | 2 | 31 | 12 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
Team Total or Average | 1 | 0 | 0 | 1 | 0.935 | 2.00 | 60 | 0 | 0 | 2 | 31 | 12 | 0 | 0 | 0.000 | 0 | 1 | 0 | 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 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 37 | 12 | 13 | 12 | 0 | 31 | 10 | 4 | 21 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 15 | 25 | 60.00% | 12 | 20 | 60.00% | 6 | 9 | 66.67% | 24 | 16 | 21 | 7 | 14 | 7 | 0.0% | 2.7% | 93.5% | 96.3 | DULL |
_Vs Division | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 37 | 12 | 13 | 12 | 0 | 31 | 10 | 4 | 21 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 15 | 25 | 60.00% | 12 | 20 | 60.00% | 6 | 9 | 66.67% | 24 | 16 | 21 | 7 | 14 | 7 | 0.0% | 2.7% | 93.5% | 96.3 | DULL | |
_Vs Conference | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 37 | 12 | 13 | 12 | 0 | 31 | 10 | 4 | 21 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 15 | 25 | 60.00% | 12 | 20 | 60.00% | 6 | 9 | 66.67% | 24 | 16 | 21 | 7 | 14 | 7 | 0.0% | 2.7% | 93.5% | 96.3 | DULL | |
_Since Last GM Reset | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 37 | 12 | 13 | 12 | 0 | 31 | 10 | 4 | 21 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 15 | 25 | 60.00% | 12 | 20 | 60.00% | 6 | 9 | 66.67% | 24 | 16 | 21 | 7 | 14 | 7 | 0.0% | 2.7% | 93.5% | 96.3 | DULL | |
Total | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 37 | 12 | 13 | 12 | 0 | 31 | 10 | 4 | 21 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 15 | 25 | 60.00% | 12 | 20 | 60.00% | 6 | 9 | 66.67% | 24 | 16 | 21 | 7 | 14 | 7 | 0.0% | 2.7% | 93.5% | 96.3 | DULL |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 14 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 25 |
Neutral Zone Start | 9 |
Defensive Zone Start | 20 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 33 |
Faceoffs Lost | 21 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.0 | 9.57 |
2nd Period | 25.0 | 20.31 |
3rd Period | 37.0 | 30.68 |
Overtime | 37.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 1.0 | 2.67 |
Overtime | 1.0 | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 1 | 0 |
PP Attempt | 3 |
---|---|
PP Goal | 1 |
PK Attempt | 2 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 37.0 |
Shots Against | 31.0 |
Goals For | 1.0 |
Goals Against | 2.0 |
Hits | 21.0 |
Shots Blocked | 10.0 |
Pim | 4.0 |
![]() | |
Total Salaries | 63,914,084$ |
Projected Total Cap Hit | 63,914,190$ |
Projected Cap Space | 15,085,810$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 667,070$ |
Players Signed (45 – 55) | 55 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 16 |
LTIR Players | 0 |
Trappers Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 39 |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Anders Bjork | LW/RW | 23 | 500,000$ | 494,623$ | 500,000$ | 500,000$ | RFA | |||||
Brandon Montour | D | 26 | 3,387,500$ | 3,351,075$ | 3,387,500$ | 3,387,500$ | 3,387,500$ | UFA | ||||
Brandon Saad | LW | 27 | 3,750,000$ | 3,709,677$ | 3,750,000$ | UFA | ||||||
Craig Smith | RW | 30 | 3,000,000$ | 2,967,741$ | 3,000,000$ | 3,000,000$ | UFA | |||||
David Savard | D | 29 | 2,125,000$ | 2,102,150$ | 2,125,000$ | 2,125,000$ | UFA | |||||
Derek Stepan | C | 30 | 3,500,000$ | 3,462,365$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Dominik Simon | C/LW/RW | 25 | 700,000$ | 692,473$ | 700,000$ | RFA | ||||||
Jack Johnson | D | 33 | 1,625,000$ | 1,607,526$ | 1,625,000$ | UFA | ||||||
Joakim Nygard | LW | 27 | 475,000$ | 469,892$ | 475,000$ | 475,000$ | 475,000$ | UFA | ||||
Jon Gillies | G | 26 | 750,000$ | 741,935$ | 750,000$ | RFA | ||||||
Jonathan Drouin | LW | 25 | 5,500,000$ | 5,440,860$ | 5,500,000$ | RFA | ||||||
Jordan Binnington | G | 26 | 4,400,000$ | 4,352,688$ | 4,400,000$ | RFA | ||||||
Keith Yandle | D | 33 | 7,500,000$ | 7,419,354$ | 7,500,000$ | UFA | ||||||
Nick Paul | LW | 25 | 850,000$ | 840,860$ | 850,000$ | RFA | ||||||
Nikita Gusev | LW/RW | 27 | 3,750,000$ | 3,709,677$ | 3,750,000$ | 3,750,000$ | UFA | |||||
Oskar Lindblom | LW | 23 | 925,000$ | 915,053$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Paul Stastny | C | 34 | 5,000,000$ | 4,946,236$ | 5,000,000$ | UFA | ||||||
Radek Faksa | C | 26 | 2,200,000$ | 2,176,344$ | 2,200,000$ | 2,200,000$ | UFA | |||||
Robert Bortuzzo | D | 31 | 800,000$ | 791,397$ | 800,000$ | UFA | ||||||
Ryan Hartman | LW/RW | 25 | 1,900,000$ | 1,879,569$ | 1,900,000$ | RFA | ||||||
Tony DeAngelo | D | 24 | 925,000$ | 915,053$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Travis Boyd | C | 26 | 575,000$ | 568,817$ | 575,000$ | 575,000$ | UFA | |||||
Travis Hamonic | D | 29 | 3,750,000$ | 3,709,677$ | 3,750,000$ | UFA | ||||||
Vinnie Hinostroza | C/RW | 26 | 1,500,000$ | 1,483,870$ | 1,500,000$ | RFA | ||||||
Vladislav Namestnikov | C/LW/RW | 27 | 2,650,000$ | 2,621,505$ | 2,650,000$ | 2,650,000$ | UFA |
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 Barre-Boulet | C | 23 | 450,000$ | 44,538$ | 45,000$ | RFA | ||||||
Antti Suomela | C | 26 | 450,000$ | 44,538$ | 45,000$ | RFA | ||||||
Chad Krys | D | 22 | 853,333$ | 84,458$ | 85,333$ | 85,333$ | RFA | |||||
Connor Dewar | C/LW | 21 | 625,000$ | 61,859$ | 62,500$ | RFA | ||||||
Dakota Mermis | D | 26 | 450,000$ | 44,538$ | 45,000$ | 45,000$ | UFA | |||||
David Farrance | D | 21 | 550,000$ | 54,436$ | 55,000$ | RFA | ||||||
Eetu Tuulola | RW | 22 | 809,167$ | 80,087$ | 80,917$ | 80,917$ | RFA | |||||
Filip Zadina | LW/RW | 20 | 875,000$ | 86,603$ | 87,500$ | 87,500$ | RFA | |||||
Giovanni Vallati | D | 20 | 500,000$ | 49,487$ | 50,000$ | RFA | ||||||
Glenn Gawdin | C | 23 | 575,000$ | 56,910$ | 57,500$ | 57,500$ | RFA | |||||
Henrik Borgstrom | C | 22 | 925,000$ | 91,551$ | 92,500$ | RFA | ||||||
Hudson Fasching | RW | 24 | 925,000$ | 91,551$ | 92,500$ | RFA | ||||||
Hunter Miska | G | 24 | 450,000$ | 44,538$ | 45,000$ | 45,000$ | RFA | |||||
Ilya Lyubushkin | D | 26 | 450,000$ | 44,538$ | 45,000$ | RFA | ||||||
Ivan Prosvetov | G | 21 | 550,000$ | 54,436$ | 55,000$ | 55,000$ | RFA | |||||
Jacob Larsson | D | 23 | 894,166$ | 88,500$ | 89,417$ | 89,417$ | RFA | |||||
Jakob Forsbacka Karlsson | C/RW | 23 | 575,000$ | 56,910$ | 57,500$ | RFA | ||||||
Jesper Boqvist | C/LW | 21 | 725,000$ | 71,756$ | 72,500$ | RFA | ||||||
Jett Woo | D | 19 | 725,000$ | 71,756$ | 72,500$ | RFA | ||||||
Kirill Maximov | RW | 21 | 500,000$ | 49,487$ | 50,000$ | RFA | ||||||
Lassi Lehtinen | G | 21 | 450,000$ | 44,538$ | 45,000$ | RFA | ||||||
Lias Andersson | C/LW | 21 | 875,000$ | 86,603$ | 87,500$ | RFA | ||||||
Marc Michaelis | C/LW | 24 | 575,000$ | 56,910$ | 57,500$ | 57,500$ | RFA | |||||
Mathias Laferriere | RW | 20 | 450,000$ | 44,538$ | 45,000$ | RFA | ||||||
Mikhail Berdin | G | 22 | 550,000$ | 54,436$ | 55,000$ | 55,000$ | RFA | |||||
Mikhail Maltsev | C/LW | 22 | 809,167$ | 80,087$ | 80,917$ | 80,917$ | RFA | |||||
Morgan Geekie | C | 21 | 625,000$ | 61,859$ | 62,500$ | RFA | ||||||
Nick Merkley | C/RW | 23 | 575,000$ | 56,910$ | 57,500$ | 57,500$ | RFA | |||||
Sami Niku | D | 23 | 525,000$ | 51,962$ | 52,500$ | 52,500$ | RFA | |||||
Santtu Kinnunen | D | 21 | 475,000$ | 47,013$ | 47,500$ | RFA |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 37 | 12 | 13 | 12 | 0 | 31 | 10 | 4 | 21 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 15 | 25 | 60.00% | 12 | 20 | 60.00% | 6 | 9 | 66.67% | 24 | 16 | 21 | 7 | 14 | 7 | 0.0% | 2.7% | 93.5% | 96.3 | DULL |
_Vs Division | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 37 | 12 | 13 | 12 | 0 | 31 | 10 | 4 | 21 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 15 | 25 | 60.00% | 12 | 20 | 60.00% | 6 | 9 | 66.67% | 24 | 16 | 21 | 7 | 14 | 7 | 0.0% | 2.7% | 93.5% | 96.3 | DULL | |
_Vs Conference | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 37 | 12 | 13 | 12 | 0 | 31 | 10 | 4 | 21 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 15 | 25 | 60.00% | 12 | 20 | 60.00% | 6 | 9 | 66.67% | 24 | 16 | 21 | 7 | 14 | 7 | 0.0% | 2.7% | 93.5% | 96.3 | DULL | |
_Since Last GM Reset | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 37 | 12 | 13 | 12 | 0 | 31 | 10 | 4 | 21 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 15 | 25 | 60.00% | 12 | 20 | 60.00% | 6 | 9 | 66.67% | 24 | 16 | 21 | 7 | 14 | 7 | 0.0% | 2.7% | 93.5% | 96.3 | DULL | |
Total | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 37 | 12 | 13 | 12 | 0 | 31 | 10 | 4 | 21 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 15 | 25 | 60.00% | 12 | 20 | 60.00% | 6 | 9 | 66.67% | 24 | 16 | 21 | 7 | 14 | 7 | 0.0% | 2.7% | 93.5% | 96.3 | DULL |
Puck Time | |
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Offensive Zone | 24 |
Neutral Zone | 14 |
Defensive Zone | 21 |
Puck Time | |
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Offensive Zone Start | 25 |
Neutral Zone Start | 9 |
Defensive Zone Start | 20 |
Puck Time | |
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With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
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Faceoffs Won | 33 |
Faceoffs Lost | 21 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.0 | 9.57 |
2nd Period | 25.0 | 20.31 |
3rd Period | 37.0 | 30.68 |
Overtime | 37.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 1.0 | 2.67 |
Overtime | 1.0 | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 1 | 0 |
PP Attempt | 3 |
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PP Goal | 1 |
PK Attempt | 2 |
PK Goal Against | 0 |
Home | |
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Shots For | 37.0 |
Shots Against | 31.0 |
Goals For | 1.0 |
Goals Against | 2.0 |
Hits | 21.0 |
Shots Blocked | 10.0 |
Pim | 4.0 |
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
62,037,500$ | 0$ | 63,914,190$ | 15,085,810$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Tilburg | ||
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 | 4532 | 4134 | 1489 | 2964 | 738 |
Attendance PCT | 75.53% | 82.68% | 74.45% | 74.10% | 73.80% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
40 | 13857 - 76.98% | 960,235$ | 960,235$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
62,037,500$ | 62,037,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
667,070$ | 333,535$ | 667,070$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
38,409,400$ | 184 | 333,535$ | 61,370,440$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
63,227,872$ | 63,914,190$ | 151,692,120$ | 126,873,648$ |
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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 |
---|---|---|---|---|---|
Albert Johansson | ![]() | 2019 | 63 | ||
Brendan Brisson | ![]() | 2020 | 19 | ||
Cole Caufield | ![]() | 2019 | 8 | ||
Domenick Fensore | ![]() | 2019 | 91 | ||
Dominic Basse | ![]() | 2019 | 175 | ||
Emil Andrae | ![]() | 2020 | 47 | ||
Jean-Luc Foudy | ![]() | 2020 | 75 | ||
John-Jason Peterka | ![]() | 2020 | 27 | ||
Justin Sourdif | ![]() | 2020 | 95 | ||
Layton Ahac | ![]() | 2019 | 84 | ||
Logan Neaton | ![]() | 2019 | 147 | ||
Matias Rajaniemi | ![]() | 2020 | 165 | ||
Oskar Magnusson | ![]() | 2020 | 159 | ||
Ryan Francis | ![]() | 2020 | 137 | ||
Semyon Chistyakov | ![]() | 2019 | 119 | ||
Shane Pinto | ![]() | 2019 | 35 |
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 |
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Albert Johansson | ![]() | 2019 | 63 | ||
Brendan Brisson | ![]() | 2020 | 19 | ||
Cole Caufield | ![]() | 2019 | 8 | ||
Domenick Fensore | ![]() | 2019 | 91 | ||
Dominic Basse | ![]() | 2019 | 175 | ||
Emil Andrae | ![]() | 2020 | 47 | ||
Jean-Luc Foudy | ![]() | 2020 | 75 | ||
John-Jason Peterka | ![]() | 2020 | 27 | ||
Justin Sourdif | ![]() | 2020 | 95 | ||
Layton Ahac | ![]() | 2019 | 84 | ||
Logan Neaton | ![]() | 2019 | 147 | ||
Matias Rajaniemi | ![]() | 2020 | 165 | ||
Oskar Magnusson | ![]() | 2020 | 159 | ||
Ryan Francis | ![]() | 2020 | 137 | ||
Semyon Chistyakov | ![]() | 2019 | 119 | ||
Shane Pinto | ![]() | 2019 | 35 |
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