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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Vancouver Stompers 2-1-0, 4pts · 5th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 9 | C | 100.00 | 39 | 39 | 79 | 19 | 70 | 89 | 90 | 83 | 84 | 84 | 86 | 61 | 59 | 67 | 67 | 81 | 75 | 81 | 23 | 10,000,000$/1yrs | |||
![]() | 0 | LW | 99.00 | 46 | 38 | 83 | 23 | 61 | 78 | 87 | 79 | 39 | 85 | 84 | 72 | 25 | 72 | 76 | 80 | 75 | 80 | 28 | 5,350,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 32 | 50 | 77 | 37 | 67 | 68 | 56 | 72 | 78 | 75 | 82 | 86 | 63 | 78 | 80 | 77 | 75 | 77 | 31 | 2,200,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 53 | 39 | 82 | 25 | 55 | 67 | 84 | 78 | 35 | 80 | 85 | 52 | 25 | 53 | 53 | 76 | 75 | 76 | 21 | 825,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 66 | 40 | 83 | 28 | 68 | 65 | 85 | 79 | 76 | 88 | 81 | 54 | 67 | 81 | 85 | 75 | 75 | 75 | 32 | 2,750,000$/1yrs | |||
![]() | 10 | C/LW/RW | 100.00 | 62 | 40 | 82 | 41 | 68 | 67 | 83 | 70 | 85 | 68 | 79 | 95 | 25 | 66 | 68 | 75 | 75 | 75 | 26 | 2,857,143$/1yrs | |||
![]() | 0 | RW | 100.00 | 32 | 38 | 84 | 30 | 69 | 76 | 87 | 78 | 33 | 73 | 85 | 76 | 90 | 72 | 75 | 75 | 75 | 75 | 29 | 4,000,000$/3yrs | |||
![]() | 0 | C | 100.00 | 68 | 59 | 72 | 31 | 80 | 79 | 85 | 74 | 92 | 83 | 81 | 53 | 69 | 86 | 92 | 73 | 75 | 73 | 35 | 8,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 53 | 39 | 77 | 30 | 63 | 81 | 89 | 75 | 55 | 79 | 84 | 49 | 25 | 60 | 60 | 73 | 75 | 73 | 25 | 1,400,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 49 | 78 | 42 | 66 | 65 | 82 | 63 | 52 | 72 | 80 | 83 | 63 | 77 | 82 | 72 | 75 | 72 | 33 | 1,925,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 55 | 40 | 85 | 41 | 64 | 61 | 88 | 64 | 76 | 76 | 78 | 84 | 85 | 70 | 71 | 72 | 75 | 72 | 31 | 1,375,000$/1yrs | |||
![]() | 15 | C/LW | 100.00 | 75 | 52 | 77 | 41 | 72 | 61 | 77 | 70 | 56 | 76 | 78 | 66 | 25 | 74 | 76 | 70 | 75 | 70 | 32 | 1,625,000$/1yrs | |||
![]() | 0 | D | 100.00 | 55 | 50 | 77 | 47 | 68 | 65 | 76 | 71 | 25 | 70 | 73 | 90 | 25 | 90 | 94 | 77 | 75 | 77 | 37 | 1,025,000$/1yrs | |||
![]() | 0 | D | 100.00 | 55 | 40 | 73 | 45 | 78 | 70 | 64 | 79 | 25 | 84 | 74 | 77 | 75 | 75 | 75 | 74 | 75 | 74 | 29 | 1,430,000$/1yrs | |||
![]() | 19 | D | 100.00 | 43 | 39 | 83 | 44 | 66 | 75 | 84 | 75 | 25 | 75 | 80 | 71 | 25 | 63 | 64 | 73 | 75 | 73 | 26 | 2,450,000$/1yrs | |||
![]() | 0 | D | 100.00 | 53 | 40 | 76 | 51 | 72 | 75 | 70 | 75 | 25 | 79 | 75 | 79 | 25 | 67 | 68 | 72 | 75 | 72 | 28 | 1,137,500$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 40 | 77 | 48 | 68 | 80 | 71 | 75 | 25 | 74 | 75 | 77 | 25 | 77 | 78 | 72 | 75 | 72 | 29 | 2,200,000$/1yrs | |||
![]() | 44 | D | 100.00 | 36 | 38 | 86 | 51 | 69 | 80 | 88 | 75 | 25 | 79 | 76 | 77 | 48 | 84 | 91 | 71 | 75 | 71 | 33 | 4,000,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 53 | 39 | 82 | 41 | 63 | 68 | 81 | 69 | 84 | 79 | 78 | 75 | 25 | 74 | 77 | 72 | 75 | 72 | 29 | 1,925,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 69 | 40 | 75 | 42 | 68 | 63 | 79 | 70 | 62 | 71 | 81 | 53 | 25 | 65 | 66 | 67 | 75 | 67 | 24 | 2,550,000$/3yrs | |||
![]() | 0 | D | 100.00 | 73 | 53 | 72 | 46 | 72 | 74 | 51 | 79 | 25 | 75 | 75 | 73 | 25 | 72 | 74 | 72 | 75 | 72 | 30 | 450,000$/1yrs | |||
TEAM AVERAGE | 99.95 | 55 | 43 | 79 | 38 | 68 | 72 | 79 | 74 | 52 | 77 | 80 | 72 | 44 | 73 | 75 | 74 | 75 | 74 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 79 | 96 | 93 | 84 | 88 | 99 | 85 | 98 | 93 | 97 | 86 | 77 | 80 | 75 | 75 | 75 | 32 | 6,000,000$/3yrs |
![]() | 0 | 100.00 | 72 | 79 | 79 | 85 | 88 | 90 | 94 | 93 | 96 | 92 | 70 | 66 | 40 | 70 | 75 | 70 | 26 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 70 | 86 | 86 | 77 | 88 | 90 | 92 | 93 | 95 | 92 | 70 | 74 | 55 | 68 | 75 | 68 | 30 | 450,000$/1yrs |
TEAM AVERAGE | 99.33 | 74 | 87 | 86 | 82 | 88 | 93 | 90 | 95 | 95 | 94 | 75 | 72 | 58 | 71 | 75 | 71 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rod Brind'Amour | 81 | 90 | 86 | 84 | 74 | 69 | 76 | CAN | 49 | 4 | 0$ |
General Manager | Joe Mantell |
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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 | Jack Eichel | ![]() | 9 | C | 3 | 3 | 1 | 4 | -1 | 0 | 0 | 0 | 14 | 4 | 8 | 21.43% | 2 | 20.46 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 53.97% | 63 | 1 | 0 | 0 | 0 | 1.30 | 0 | 0 |
2 | Jakob Silfverberg | ![]() | 0 | RW | 3 | 3 | 1 | 4 | -1 | 0 | 0 | 1 | 14 | 6 | 8 | 21.43% | 0 | 16.61 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 1 | 4 | 0 | 0 | 0 | 1.61 | 1 | 1 |
3 | Jaden Schwartz | ![]() | 0 | LW | 3 | 0 | 3 | 3 | -3 | 0 | 0 | 7 | 8 | 4 | 6 | 0.00% | 1 | 21.54 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 |
4 | Ryan Getzlaf | ![]() | 0 | C | 3 | 1 | 1 | 2 | -3 | 4 | 0 | 5 | 7 | 2 | 4 | 14.29% | 0 | 15.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 55.88% | 34 | 3 | 0 | 0 | 0 | 0.84 | 1 | 1 |
5 | Mike Matheson | ![]() | 19 | D | 2 | 0 | 2 | 2 | 1 | 0 | 0 | 1 | 2 | 0 | 1 | 0.00% | 3 | 17.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.15 | 0 | 1 |
6 | Tyler Bertuzzi | ![]() | 0 | LW/RW | 3 | 1 | 1 | 2 | -1 | 0 | 0 | 4 | 7 | 2 | 3 | 14.29% | 0 | 19.17 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 25.00% | 4 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 |
7 | Martin Necas | ![]() | 0 | C/RW | 3 | 1 | 1 | 2 | 1 | 0 | 0 | 4 | 6 | 7 | 3 | 16.67% | 0 | 14.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 5 | 2 | 0 | 0 | 0 | 0.89 | 0 | 0 |
8 | Marc-Edouard Vlasic | ![]() | 44 | D | 2 | 0 | 1 | 1 | -2 | 0 | 0 | 1 | 4 | 3 | 0 | 0.00% | 2 | 23.28 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 |
9 | Jon Merrill | ![]() | 0 | D | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 5 | 2 | 3 | 0.00% | 3 | 17.96 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.37 | 0 | 0 |
10 | Derick Brassard | ![]() | 0 | C/RW | 3 | 0 | 1 | 1 | 1 | 2 | 0 | 8 | 6 | 7 | 1 | 0.00% | 0 | 15.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 65.62% | 32 | 0 | 0 | 0 | 0 | 0.42 | 1 | 1 |
11 | Brandon Sutter | ![]() | 0 | C/RW | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 1 | 4 | 1 | 0.00% | 0 | 10.16 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 62.50% | 16 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 |
12 | Riley Nash | ![]() | 0 | C/RW | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 4 | 0 | 0 | 25.00% | 0 | 10.16 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.66 | 0 | 1 |
13 | Zach Bogosian | ![]() | 0 | D | 3 | 0 | 1 | 1 | -1 | 0 | 0 | 5 | 3 | 1 | 2 | 0.00% | 0 | 23.71 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 |
14 | Colton Sissons | ![]() | 10 | C/LW/RW | 3 | 0 | 1 | 1 | 3 | 2 | 0 | 4 | 4 | 0 | 3 | 0.00% | 4 | 15.52 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 63.64% | 11 | 0 | 1 | 0 | 0 | 0.43 | 0 | 0 |
15 | Cody Eakin | ![]() | 0 | C | 1 | 0 | 1 | 1 | 0 | 2 | 0 | 1 | 2 | 0 | 0 | 0.00% | 0 | 10.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.90 | 0 | 0 |
16 | Darren Helm | ![]() | 0 | C/LW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 0 | 2 | 0.00% | 2 | 12.76 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 50.00% | 4 | 3 | 0 | 0 | 0 | 0.00 | 0 | 0 |
17 | Dan Hamhuis | ![]() | 0 | D | 3 | 0 | 0 | 0 | 1 | 2 | 0 | 4 | 5 | 2 | 2 | 0.00% | 2 | 18.58 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 1 | 2 | 0 | 0 | 0.00 | 0 | 0 |
18 | Luca Sbisa | ![]() | 0 | D | 2 | 0 | 0 | 0 | -1 | 2 | 0 | 2 | 0 | 0 | 0 | 0.00% | 3 | 15.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 |
19 | Zack Smith | ![]() | 15 | C/LW | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 4 | 0 | 6 | 0.00% | 0 | 15.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 1 | 1 | 0 | 0 | 0.00 | 0 | 0 |
20 | Dmitri Kulikov | ![]() | 0 | D | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 5 | 0 | 0 | 0.00% | 4 | 19.73 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 1 | 2 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 54 | 10 | 17 | 27 | -7 | 16 | 0 | 67 | 106 | 44 | 53 | 9.43% | 26 | 16.90 | 2 | 4 | 6 | 61 | 0 | 0 | 0 | 56 | 1 | 1 | 54.19% | 179 | 18 | 7 | 0 | 0 | 0.59 | 3 | 5 |
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 | Carey Price | ![]() | 3 | 2 | 1 | 0 | 0.895 | 3.51 | 188 | 0 | 0 | 11 | 105 | 50 | 0 | 0 | 0.500 | 4 | 3 | 0 | 0 | 0 | 0 |
Team Total or Average | 3 | 2 | 1 | 0 | 0.895 | 3.51 | 188 | 0 | 0 | 11 | 105 | 50 | 0 | 0 | 0.500 | 4 | 3 | 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 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 0 | 3 | 1 | 27 | 10 | 9 | 7 | 1 | 45 | 9 | 2 | 31 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 38 | 66 | 57.58% | 38 | 67 | 56.72% | 21 | 42 | 50.00% | 18 | 10 | 27 | 9 | 17 | 8 | 50.0% | 18.5% | 91.1% | 109.6 | Unlucky |
2 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 1 | 3 | 46 | 15 | 13 | 18 | 4 | 34 | 2 | 4 | 24 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 38 | 66 | 57.58% | 38 | 67 | 56.72% | 21 | 42 | 50.00% | 29 | 20 | 19 | 7 | 16 | 8 | 60.0% | 8.7% | 91.2% | 99.9 | DULL |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 8 | 9 | 16 | 0 | 26 | 15 | 10 | 12 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 38 | 66 | 57.58% | 38 | 67 | 56.72% | 21 | 42 | 50.00% | 19 | 10 | 23 | 9 | 17 | 8 | 40.0% | 6.1% | 84.6% | 90.7 | Unlucky |
_Vs Division | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 11 | 11 | 0 | 4 | 0.667 | 11 | 17 | 28 | 0 | 0 | 2 | 2 | 5 | 4 | 106 | 33 | 31 | 41 | 5 | 105 | 26 | 16 | 67 | 8 | 2 | 25.00% | 9 | 2 | 77.78% | 0 | 38 | 66 | 57.58% | 38 | 67 | 56.72% | 21 | 42 | 50.00% | 67 | 41 | 69 | 27 | 51 | 25 | 50.0% | 10.4% | 89.5% | 99.9 | FUN | |
_Vs Conference | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 11 | 11 | 0 | 4 | 0.667 | 11 | 17 | 28 | 0 | 0 | 2 | 2 | 5 | 4 | 106 | 33 | 31 | 41 | 5 | 105 | 26 | 16 | 67 | 8 | 2 | 25.00% | 9 | 2 | 77.78% | 0 | 38 | 66 | 57.58% | 38 | 67 | 56.72% | 21 | 42 | 50.00% | 67 | 41 | 69 | 27 | 51 | 25 | 50.0% | 10.4% | 89.5% | 99.9 | FUN | |
_Since Last GM Reset | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 11 | 11 | 0 | 4 | 0.667 | 11 | 17 | 28 | 0 | 0 | 2 | 2 | 5 | 4 | 106 | 33 | 31 | 41 | 5 | 105 | 26 | 16 | 67 | 8 | 2 | 25.00% | 9 | 2 | 77.78% | 0 | 38 | 66 | 57.58% | 38 | 67 | 56.72% | 21 | 42 | 50.00% | 67 | 41 | 69 | 27 | 51 | 25 | 50.0% | 10.4% | 89.5% | 99.9 | FUN | |
Total | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 11 | 11 | 0 | 4 | 0.667 | 11 | 17 | 28 | 0 | 0 | 2 | 2 | 5 | 4 | 106 | 33 | 31 | 41 | 5 | 105 | 26 | 16 | 67 | 8 | 2 | 25.00% | 9 | 2 | 77.78% | 0 | 38 | 66 | 57.58% | 38 | 67 | 56.72% | 21 | 42 | 50.00% | 67 | 41 | 69 | 27 | 51 | 25 | 50.0% | 10.4% | 89.5% | 99.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 66 |
Neutral Zone Start | 42 |
Defensive Zone Start | 67 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 97 |
Faceoffs Lost | 78 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.0 | 9.57 |
2nd Period | 21.3 | 20.31 |
3rd Period | 35.0 | 30.68 |
Overtime | 36.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 4.3 | 2.83 |
Even Strenght Goal | 9 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 8 |
---|---|
PP Goal | 2 |
PK Attempt | 9 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 35.3 |
Shots Against | 35.0 |
Goals For | 3.7 |
Goals Against | 3.7 |
Hits | 22.3 |
Shots Blocked | 8.7 |
Pim | 5.3 |
![]() | |
Total Salaries | 75,029,643$ |
Projected Total Cap Hit | 75,030,344$ |
Projected Cap Space | 3,969,656$ |
Retains And Buyout Cap Hit | 450,000$ |
Salary Cap To Date | 1,559,668$ |
Players Signed (45 – 55) | 54 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 17 |
LTIR Players | 0 |
Stompers Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 39 |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Stolarz | G | 26 | 750,000$ | 733,870$ | 750,000$ | RFA | ||||||
Brandon Sutter | C/RW | 31 | 2,200,000$ | 2,152,688$ | 2,200,000$ | 2,200,000$ | UFA | |||||
Carey Price | G | 32 | 6,000,000$ | 5,870,967$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Cody Eakin | C | 29 | 1,925,000$ | 1,883,602$ | 1,925,000$ | 1,925,000$ | 1,925,000$ | UFA | ||||
Colton Sissons | C/LW/RW | 26 | 2,857,143$ | 2,795,699$ | 2,857,143$ | RFA | ||||||
Dan Hamhuis | D | 37 | 1,025,000$ | 1,002,956$ | 1,025,000$ | UFA | ||||||
Darren Helm | C/LW | 33 | 1,925,000$ | 1,883,602$ | 1,925,000$ | UFA | ||||||
Derick Brassard | C/RW | 32 | 2,750,000$ | 2,690,860$ | 2,750,000$ | UFA | ||||||
Dmitri Kulikov | D | 29 | 2,200,000$ | 2,152,688$ | 2,200,000$ | UFA | ||||||
Dominik Furch | G | 30 | 450,000$ | 440,322$ | 450,000$ | UFA | ||||||
Jack Eichel | C | 23 | 10,000,000$ | 9,784,946$ | 10,000,000$ | RFA | ||||||
Jaden Schwartz | LW | 28 | 5,350,000$ | 5,234,946$ | 5,350,000$ | 5,350,000$ | UFA | |||||
Jakob Silfverberg | RW | 29 | 4,000,000$ | 3,913,978$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Jon Merrill | D | 28 | 1,137,500$ | 1,113,037$ | 1,137,500$ | UFA | ||||||
Luca Sbisa | D | 30 | 450,000$ | 440,322$ | 450,000$ | UFA | ||||||
Marc-Edouard Vlasic | D | 33 | 4,000,000$ | 3,913,978$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Martin Necas | C/RW | 21 | 825,000$ | 807,258$ | 825,000$ | RFA | ||||||
Mike Matheson | D | 26 | 2,450,000$ | 2,397,311$ | 2,450,000$ | RFA | ||||||
Riley Nash | C/RW | 31 | 1,375,000$ | 1,345,430$ | 1,375,000$ | UFA | ||||||
Ryan Getzlaf | C | 35 | 8,000,000$ | 7,827,956$ | 8,000,000$ | UFA | ||||||
Sam Bennett | C/LW | 24 | 2,550,000$ | 2,495,161$ | 2,550,000$ | 2,550,000$ | 2,550,000$ | RFA | ||||
Tyler Bertuzzi | LW/RW | 25 | 1,400,000$ | 1,369,892$ | 1,400,000$ | 1,400,000$ | RFA | |||||
Zach Bogosian | D | 29 | 1,430,000$ | 1,399,247$ | 1,430,000$ | UFA | ||||||
Zack Smith | C/LW | 32 | 1,625,000$ | 1,590,053$ | 1,625,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Tambellini | C/LW | 25 | 450,000$ | 44,077$ | 45,000$ | RFA | ||||||
Alexander Dergachyov | C/RW | 23 | 550,000$ | 53,872$ | 55,000$ | RFA | ||||||
Alexander Volkov | LW/RW | 22 | 725,000$ | 71,013$ | 72,500$ | RFA | ||||||
Cale Fleury | D | 21 | 625,000$ | 61,218$ | 62,500$ | RFA | ||||||
Chase De Leo | C | 24 | 750,000$ | 73,462$ | 75,000$ | RFA | ||||||
Cole Hults | D | 22 | 525,000$ | 51,423$ | 52,500$ | 52,500$ | RFA | |||||
Conor Timmins | D | 21 | 875,000$ | 85,705$ | 87,500$ | RFA | ||||||
Dante Fabbro | D | 22 | 925,000$ | 90,603$ | 92,500$ | 92,500$ | RFA | |||||
David Kase | LW/RW | 23 | 768,333$ | 75,257$ | 76,833$ | RFA | ||||||
Filip Berglund | D | 23 | 700,000$ | 68,564$ | 70,000$ | RFA | ||||||
Gabriel Vilardi | C | 20 | 875,000$ | 85,705$ | 87,500$ | RFA | ||||||
Gage Quinney | C/LW | 24 | 450,000$ | 44,077$ | 45,000$ | 45,000$ | RFA | |||||
Ivan Chekhovich | LW | 21 | 776,667$ | 76,074$ | 77,667$ | 77,667$ | 77,667$ | RFA | ||||
Jordan Schmaltz | D | 26 | 925,000$ | 90,603$ | 92,500$ | RFA | ||||||
Jori Lehtera | C | 32 | 2,250,000$ | 2,201,612$ | 2,250,000$ | UFA | ||||||
Josh Anderson1 | D | 21 | 765,000$ | 74,931$ | 76,500$ | RFA | ||||||
Kyle Platzer | C/RW | 25 | 625,000$ | 61,218$ | 62,500$ | RFA | ||||||
Laurent Brossoit | G | 26 | 1,225,000$ | 119,987$ | 122,500$ | RFA | ||||||
Liam Foudy | C | 20 | 875,000$ | 85,705$ | 87,500$ | 87,500$ | RFA | |||||
Logan Stanley | D | 22 | 650,000$ | 63,667$ | 65,000$ | RFA | ||||||
Matthew Phillips | C/RW | 22 | 733,333$ | 71,829$ | 73,333$ | 73,333$ | RFA | |||||
Max Comtois | LW | 21 | 725,000$ | 71,013$ | 72,500$ | RFA | ||||||
Nathan Bastian | RW | 22 | 714,166$ | 69,952$ | 71,417$ | RFA | ||||||
Oliver Kylington | D | 23 | 730,833$ | 71,584$ | 73,083$ | 73,083$ | RFA | |||||
Otto Koivula | C/LW | 21 | 786,666$ | 77,053$ | 78,667$ | 78,667$ | RFA | |||||
Sam Gagner | C/LW/RW | 30 | 3,600,000$ | 3,522,580$ | 3,600,000$ | UFA | ||||||
Sam Montembeault | G | 23 | 450,000$ | 44,077$ | 45,000$ | RFA | ||||||
Thatcher Demko | G | 24 | 1,050,000$ | 102,846$ | 105,000$ | 105,000$ | 105,000$ | RFA | ||||
Ty Emberson | D | 20 | 625,000$ | 61,218$ | 62,500$ | 62,500$ | RFA | |||||
Valentin Zykov | LW/RW | 25 | 675,000$ | 66,115$ | 67,500$ | 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 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 0 | 3 | 1 | 27 | 10 | 9 | 7 | 1 | 45 | 9 | 2 | 31 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 38 | 66 | 57.58% | 38 | 67 | 56.72% | 21 | 42 | 50.00% | 18 | 10 | 27 | 9 | 17 | 8 | 50.0% | 18.5% | 91.1% | 109.6 | Unlucky |
2 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 1 | 3 | 46 | 15 | 13 | 18 | 4 | 34 | 2 | 4 | 24 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 38 | 66 | 57.58% | 38 | 67 | 56.72% | 21 | 42 | 50.00% | 29 | 20 | 19 | 7 | 16 | 8 | 60.0% | 8.7% | 91.2% | 99.9 | DULL |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 8 | 9 | 16 | 0 | 26 | 15 | 10 | 12 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 38 | 66 | 57.58% | 38 | 67 | 56.72% | 21 | 42 | 50.00% | 19 | 10 | 23 | 9 | 17 | 8 | 40.0% | 6.1% | 84.6% | 90.7 | Unlucky |
_Vs Division | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 11 | 11 | 0 | 4 | 0.667 | 11 | 17 | 28 | 0 | 0 | 2 | 2 | 5 | 4 | 106 | 33 | 31 | 41 | 5 | 105 | 26 | 16 | 67 | 8 | 2 | 25.00% | 9 | 2 | 77.78% | 0 | 38 | 66 | 57.58% | 38 | 67 | 56.72% | 21 | 42 | 50.00% | 67 | 41 | 69 | 27 | 51 | 25 | 50.0% | 10.4% | 89.5% | 99.9 | FUN | |
_Vs Conference | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 11 | 11 | 0 | 4 | 0.667 | 11 | 17 | 28 | 0 | 0 | 2 | 2 | 5 | 4 | 106 | 33 | 31 | 41 | 5 | 105 | 26 | 16 | 67 | 8 | 2 | 25.00% | 9 | 2 | 77.78% | 0 | 38 | 66 | 57.58% | 38 | 67 | 56.72% | 21 | 42 | 50.00% | 67 | 41 | 69 | 27 | 51 | 25 | 50.0% | 10.4% | 89.5% | 99.9 | FUN | |
_Since Last GM Reset | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 11 | 11 | 0 | 4 | 0.667 | 11 | 17 | 28 | 0 | 0 | 2 | 2 | 5 | 4 | 106 | 33 | 31 | 41 | 5 | 105 | 26 | 16 | 67 | 8 | 2 | 25.00% | 9 | 2 | 77.78% | 0 | 38 | 66 | 57.58% | 38 | 67 | 56.72% | 21 | 42 | 50.00% | 67 | 41 | 69 | 27 | 51 | 25 | 50.0% | 10.4% | 89.5% | 99.9 | FUN | |
Total | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 11 | 11 | 0 | 4 | 0.667 | 11 | 17 | 28 | 0 | 0 | 2 | 2 | 5 | 4 | 106 | 33 | 31 | 41 | 5 | 105 | 26 | 16 | 67 | 8 | 2 | 25.00% | 9 | 2 | 77.78% | 0 | 38 | 66 | 57.58% | 38 | 67 | 56.72% | 21 | 42 | 50.00% | 67 | 41 | 69 | 27 | 51 | 25 | 50.0% | 10.4% | 89.5% | 99.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 66 |
Neutral Zone Start | 42 |
Defensive Zone Start | 67 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 97 |
Faceoffs Lost | 78 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.0 | 9.57 |
2nd Period | 21.3 | 20.31 |
3rd Period | 35.0 | 30.68 |
Overtime | 36.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 4.3 | 2.83 |
Even Strenght Goal | 9 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 1 | 1 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 8 |
---|---|
PP Goal | 2 |
PK Attempt | 9 |
PK Goal Against | 2 |
Home | |
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Shots For | 35.3 |
Shots Against | 35.0 |
Goals For | 3.7 |
Goals Against | 3.7 |
Hits | 22.3 |
Shots Blocked | 8.7 |
Pim | 5.3 |
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Sat, Jan 23 | ![]() | @ | ![]() | MET3,STO4 (SO) | RECAP | |||||||||
Mon, Jan 25 | ![]() | @ | ![]() | STO2,BUT4 | RECAP | |||||||||
Tue, Jan 26 | ![]() | @ | ![]() | STO5,WOL4 (OT) | RECAP | |||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
72,524,643$ | 450,000$ | 75,030,344$ | 3,969,656$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Vancouver | ||
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 | 4974 | 3786 | 1455 | 3168 | 731 |
Attendance PCT | 82.90% | 75.72% | 72.75% | 79.20% | 73.10% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
40 | 14114 - 78.41% | 985,045$ | 985,045$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
72,524,643$ | 72,524,643$ | 0$ | 450,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
1,559,668$ | 389,917$ | 1,559,668$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
39,401,800$ | 182 | 389,917$ | 70,964,894$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
72,977,652$ | 75,030,344$ | 120,346,744$ | 89,516,692$ |
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 |
---|---|---|---|---|---|
Alexander Campbell | ![]() | 2019 | 66 | ||
Anton Johannesson | ![]() | 2020 | 90 | ||
Blake Biondi | ![]() | 2020 | 118 | ||
Carter Gylander | ![]() | 2019 | 196 | ||
Carter Savoie | ![]() | 2020 | 55 | ||
Colten Ellis | ![]() | 2019 | 94 | ||
Daniil Misyul | ![]() | 2019 | 70 | ||
Devon Levi | ![]() | 2020 | 62 | ||
Jamie Drysdale | ![]() | 2020 | 3 | ||
Jan Bednar | ![]() | 2020 | 79 | ||
John Beecher | ![]() | 2019 | 30 | ||
Pavel Tyutnev | ![]() | 2020 | 174 | ||
Pyotr Kochetkov | ![]() | 2019 | 38 | ||
Ronan Seeley | ![]() | 2020 | 146 | ||
Tristen Robins | ![]() | 2020 | 34 |
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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Alexander Campbell | ![]() | 2019 | 66 | ||
Anton Johannesson | ![]() | 2020 | 90 | ||
Blake Biondi | ![]() | 2020 | 118 | ||
Carter Gylander | ![]() | 2019 | 196 | ||
Carter Savoie | ![]() | 2020 | 55 | ||
Colten Ellis | ![]() | 2019 | 94 | ||
Daniil Misyul | ![]() | 2019 | 70 | ||
Devon Levi | ![]() | 2020 | 62 | ||
Jamie Drysdale | ![]() | 2020 | 3 | ||
Jan Bednar | ![]() | 2020 | 79 | ||
John Beecher | ![]() | 2019 | 30 | ||
Pavel Tyutnev | ![]() | 2020 | 174 | ||
Pyotr Kochetkov | ![]() | 2019 | 38 | ||
Ronan Seeley | ![]() | 2020 | 146 | ||
Tristen Robins | ![]() | 2020 | 34 |
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