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Full Scoreboard >> |
![]() | Copper Cliff Braves 0-6-0, 0pts · 14th 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 | LW/RW | 99.00 | 66 | 40 | 74 | 18 | 63 | 74 | 92 | 87 | 25 | 87 | 85 | 57 | 75 | 60 | 61 | 82 | 75 | 82 | 20 | 875,000$/2yrs | |||
![]() | 46 | C | 100.00 | 39 | 47 | 81 | 36 | 62 | 75 | 88 | 83 | 86 | 92 | 81 | 50 | 56 | 83 | 90 | 77 | 75 | 77 | 34 | 3,625,000$/3yrs | |||
![]() | 91 | C | 100.00 | 46 | 39 | 80 | 33 | 63 | 75 | 92 | 72 | 94 | 76 | 79 | 85 | 47 | 84 | 87 | 74 | 75 | 74 | 35 | 4,750,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 60 | 40 | 82 | 34 | 73 | 59 | 82 | 70 | 72 | 78 | 83 | 73 | 25 | 47 | 47 | 74 | 75 | 74 | 23 | 720,000$/1yrs | |||
![]() | 77 | C | 100.00 | 55 | 40 | 77 | 35 | 75 | 74 | 85 | 73 | 89 | 72 | 85 | 65 | 59 | 87 | 93 | 73 | 75 | 73 | 35 | 2,900,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 46 | 40 | 77 | 32 | 74 | 68 | 92 | 73 | 31 | 81 | 82 | 64 | 38 | 73 | 76 | 73 | 75 | 73 | 27 | 5,300,000$/3yrs | |||
![]() | 74 | LW/RW | 100.00 | 36 | 38 | 84 | 31 | 61 | 73 | 84 | 77 | 36 | 74 | 86 | 60 | 37 | 61 | 63 | 73 | 75 | 73 | 23 | 863,333$/2yrs | |||
![]() | 21 | LW/RW | 100.00 | 25 | 37 | 83 | 39 | 67 | 62 | 82 | 66 | 25 | 75 | 80 | 79 | 25 | 84 | 86 | 71 | 75 | 71 | 34 | 4,700,000$/1yrs | |||
![]() | 7 | C/LW/RW | 100.00 | 59 | 40 | 87 | 42 | 62 | 64 | 81 | 63 | 47 | 75 | 78 | 81 | 59 | 70 | 71 | 71 | 75 | 71 | 31 | 950,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 66 | 85 | 71 | 38 | 74 | 65 | 68 | 72 | 56 | 73 | 84 | 55 | 63 | 82 | 84 | 70 | 75 | 70 | 33 | 3,625,000$/2yrs | |||
![]() | 0 | C | 100.00 | 32 | 37 | 85 | 38 | 60 | 65 | 61 | 74 | 53 | 76 | 80 | 56 | 25 | 47 | 47 | 68 | 75 | 68 | 21 | 875,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 41 | 74 | 42 | 74 | 83 | 84 | 81 | 25 | 85 | 76 | 88 | 25 | 73 | 76 | 81 | 75 | 81 | 31 | 6,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 43 | 39 | 80 | 40 | 76 | 88 | 91 | 85 | 25 | 90 | 75 | 79 | 25 | 70 | 72 | 78 | 75 | 78 | 30 | 6,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 46 | 49 | 76 | 51 | 78 | 67 | 79 | 75 | 25 | 80 | 75 | 88 | 25 | 58 | 59 | 75 | 75 | 75 | 23 | 450,000$/2yrs | |||
![]() | 9 | D | 100.00 | 62 | 40 | 78 | 42 | 69 | 85 | 93 | 84 | 25 | 89 | 75 | 67 | 25 | 71 | 74 | 74 | 75 | 74 | 28 | 5,610,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 41 | 72 | 38 | 78 | 69 | 84 | 88 | 25 | 98 | 75 | 49 | 25 | 47 | 47 | 74 | 75 | 74 | 21 | 725,000$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 40 | 82 | 47 | 73 | 72 | 83 | 79 | 25 | 80 | 75 | 68 | 25 | 81 | 86 | 70 | 75 | 70 | 33 | 2,850,000$/2yrs | |||
![]() | 53 | D | 100.00 | 28 | 37 | 79 | 45 | 58 | 75 | 78 | 79 | 25 | 82 | 79 | 54 | 45 | 65 | 66 | 67 | 75 | 67 | 27 | 4,500,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 19 | D | 94.16 | 46 | 39 | 81 | 51 | 73 | 83 | 84 | 75 | 25 | 80 | 75 | 84 | 25 | 93 | 97 | 74 | 75 | 74 | 36 | 4,500,000$/1yrs | |||
TEAM AVERAGE | 99.63 | 50 | 43 | 79 | 39 | 69 | 72 | 83 | 77 | 43 | 81 | 79 | 69 | 38 | 70 | 73 | 74 | 75 | 74 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 81 | 80 | 76 | 68 | 94 | 94 | 90 | 95 | 98 | 94 | 90 | 55 | 55 | 77 | 75 | 77 | 21 | 730,833$/3yrs |
![]() | 70 | 98.00 | 66 | 88 | 85 | 80 | 94 | 93 | 88 | 94 | 91 | 93 | 78 | 71 | 74 | 70 | 75 | 70 | 30 | 3,050,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 74 | 84 | 81 | 74 | 94 | 94 | 89 | 95 | 95 | 94 | 84 | 63 | 65 | 74 | 75 | 74 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rick Tocchet | 81 | 92 | 83 | 88 | 84 | 78 | 63 | CAN | 56 | 2 | 450,000$ |
General Manager | Gerald Tessier |
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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 | Jeff Carter | ![]() | 77 | C | 6 | 3 | 2 | 5 | 3 | 0 | 0 | 8 | 20 | 6 | 11 | 15.00% | 1 | 15.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62.50% | 64 | 3 | 1 | 0 | 0 | 1.05 | 0 | 0 |
2 | Andrei Svechnikov | ![]() | 0 | LW/RW | 6 | 1 | 2 | 3 | -12 | 2 | 0 | 16 | 21 | 8 | 10 | 4.76% | 4 | 23.73 | 1 | 1 | 2 | 0 | 0 | 0 | 19 | 0 | 0 | 24.32% | 37 | 6 | 1 | 0 | 0 | 0.42 | 0 | 0 |
3 | Loui Eriksson | ![]() | 21 | LW/RW | 6 | 1 | 2 | 3 | 2 | 2 | 0 | 1 | 9 | 3 | 7 | 11.11% | 1 | 16.29 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 12.50% | 8 | 1 | 1 | 0 | 0 | 0.61 | 0 | 0 |
4 | Colton Sceviour | ![]() | 7 | C/LW/RW | 6 | 0 | 3 | 3 | 2 | 0 | 0 | 6 | 9 | 2 | 2 | 0.00% | 0 | 12.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 1 | 0 | 0 | 0 | 0.77 | 0 | 0 |
5 | Mattias Ekholm | ![]() | 0 | D | 6 | 0 | 3 | 3 | -6 | 6 | 0 | 4 | 7 | 4 | 1 | 0.00% | 12 | 18.49 | 0 | 1 | 1 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 3 | 1 | 0 | 0 | 0.54 | 0 | 0 |
6 | Travis Zajac | ![]() | 91 | C | 6 | 1 | 1 | 2 | -8 | 0 | 0 | 1 | 12 | 3 | 10 | 8.33% | 2 | 18.64 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 58.43% | 89 | 1 | 0 | 0 | 0 | 0.36 | 0 | 0 |
7 | David Krejci | ![]() | 46 | C | 6 | 1 | 1 | 2 | -5 | 0 | 0 | 2 | 12 | 7 | 11 | 8.33% | 2 | 17.45 | 0 | 1 | 1 | 0 | 0 | 0 | 22 | 0 | 0 | 49.41% | 85 | 2 | 0 | 0 | 0 | 0.38 | 0 | 0 |
8 | Jake DeBrusk | ![]() | 74 | LW/RW | 6 | 0 | 2 | 2 | -9 | 2 | 0 | 3 | 13 | 2 | 4 | 0.00% | 0 | 14.75 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 3 | 2 | 0 | 0 | 0.45 | 0 | 0 |
9 | Dmitri Orlov | ![]() | 9 | D | 6 | 0 | 2 | 2 | -6 | 6 | 0 | 4 | 4 | 1 | 4 | 0.00% | 2 | 13.39 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 |
10 | Nino Niederreiter | ![]() | 0 | LW/RW | 6 | 0 | 1 | 1 | -8 | 2 | 0 | 6 | 14 | 9 | 9 | 0.00% | 1 | 17.69 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 2 | 4 | 0 | 0 | 0 | 0.19 | 0 | 0 |
11 | Marc Staal | ![]() | 0 | D | 6 | 1 | 0 | 1 | -3 | 4 | 0 | 6 | 5 | 1 | 0 | 20.00% | 5 | 10.86 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.31 | 0 | 0 |
12 | Bobby Ryan | ![]() | 0 | LW/RW | 6 | 0 | 1 | 1 | -7 | 7 | 5 | 6 | 8 | 4 | 5 | 0.00% | 0 | 10.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 2 | 1 | 0 | 0 | 0.31 | 0 | 0 |
13 | Jake Muzzin | ![]() | 0 | D | 6 | 1 | 0 | 1 | -12 | 0 | 0 | 18 | 13 | 7 | 6 | 7.69% | 17 | 27.02 | 1 | 0 | 1 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.12 | 0 | 0 |
14 | Jonas Siegenthaler | ![]() | 0 | D | 6 | 1 | 0 | 1 | -4 | 0 | 0 | 4 | 2 | 3 | 4 | 50.00% | 9 | 19.79 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 2 | 4 | 0 | 0 | 0.17 | 0 | 0 |
15 | Nicolas Roy | ![]() | 0 | C/RW | 6 | 1 | 0 | 1 | -4 | 0 | 0 | 13 | 14 | 2 | 5 | 7.14% | 0 | 17.27 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 50.00% | 4 | 4 | 1 | 0 | 0 | 0.19 | 0 | 0 |
16 | Cody Glass | ![]() | 0 | C | 6 | 1 | 0 | 1 | -8 | 0 | 0 | 1 | 2 | 0 | 2 | 50.00% | 0 | 8.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34.38% | 32 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 |
17 | Nicolas Hague | ![]() | 0 | D | 6 | 0 | 1 | 1 | -4 | 19 | 5 | 11 | 10 | 1 | 1 | 0.00% | 4 | 18.69 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 4 | 0 | 0 | 0 | 0.18 | 0 | 0 |
18 | Jay Bouwmeester | ![]() | 19 | D | 5 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 4 | 0 | 2 | 0.00% | 5 | 12.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2 | 1 | 0 | 0 | 0.00 | 0 | 0 |
19 | Shayne Gostisbehere | ![]() | 53 | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0.00% | 0 | 13.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 108 | 12 | 21 | 33 | -90 | 50 | 10 | 112 | 180 | 64 | 95 | 6.67% | 65 | 16.38 | 2 | 4 | 6 | 119 | 0 | 0 | 0 | 122 | 0 | 0 | 49.09% | 328 | 40 | 15 | 0 | 0 | 0.37 | 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 | Carter Hart | ![]() | 3 | 0 | 2 | 0 | 0.875 | 4.14 | 116 | 0 | 0 | 8 | 64 | 27 | 0 | 0 | 0.000 | 0 | 2 | 4 | 0 | 0 | 0 |
2 | Braden Holtby | ![]() | 5 | 0 | 4 | 0 | 0.836 | 5.43 | 243 | 0 | 0 | 22 | 134 | 70 | 0 | 0 | 0.000 | 0 | 4 | 2 | 0 | 0 | 0 |
Team Total or Average | 8 | 0 | 6 | 0 | 0.848 | 5.00 | 360 | 0 | 0 | 30 | 198 | 97 | 0 | 0 | 0.000 | 0 | 6 | 6 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 0 | 27 | 9 | 11 | 7 | 0 | 30 | 9 | 11 | 19 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 58 | 113 | 51.33% | 62 | 129 | 48.06% | 41 | 86 | 47.67% | 23 | 14 | 20 | 8 | 16 | 7 | 42.9% | 11.1% | 83.3% | 94.4 | FUN |
2 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 64 | 29 | 19 | 16 | 0 | 61 | 15 | 27 | 38 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 58 | 113 | 51.33% | 62 | 129 | 48.06% | 41 | 86 | 47.67% | 44 | 27 | 44 | 16 | 30 | 15 | 18.2% | 4.7% | 85.2% | 89.9 | Unlucky |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 29 | 10 | 8 | 11 | 0 | 33 | 9 | 6 | 20 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 58 | 113 | 51.33% | 62 | 129 | 48.06% | 41 | 86 | 47.67% | 21 | 14 | 22 | 8 | 15 | 7 | 20.0% | 3.4% | 87.9% | 91.3 | Unlucky |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 30 | 18 | 3 | 9 | 0 | 32 | 16 | 2 | 18 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 58 | 113 | 51.33% | 62 | 129 | 48.06% | 41 | 86 | 47.67% | 20 | 13 | 24 | 7 | 15 | 7 | 25.0% | 10.0% | 81.3% | 91.3 | FUN |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 30 | 8 | 9 | 13 | 0 | 42 | 16 | 4 | 17 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 58 | 113 | 51.33% | 62 | 129 | 48.06% | 41 | 86 | 47.67% | 18 | 11 | 26 | 7 | 14 | 7 | 28.6% | 6.7% | 85.7% | 92.4 | Unlucky |
_Vs Division | 6 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 12 | 30 | -18 | 0 | 0.000 | 12 | 21 | 33 | 0 | 0 | 6 | 3 | 3 | 0 | 180 | 74 | 50 | 56 | 0 | 198 | 65 | 50 | 112 | 13 | 2 | 15.38% | 16 | 2 | 87.50% | 0 | 58 | 113 | 51.33% | 62 | 129 | 48.06% | 41 | 86 | 47.67% | 130 | 81 | 137 | 49 | 92 | 45 | 26.3% | 6.7% | 84.8% | 91.5 | Unlucky | |
_Vs Conference | 6 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 12 | 30 | -18 | 0 | 0.000 | 12 | 21 | 33 | 0 | 0 | 6 | 3 | 3 | 0 | 180 | 74 | 50 | 56 | 0 | 198 | 65 | 50 | 112 | 13 | 2 | 15.38% | 16 | 2 | 87.50% | 0 | 58 | 113 | 51.33% | 62 | 129 | 48.06% | 41 | 86 | 47.67% | 130 | 81 | 137 | 49 | 92 | 45 | 26.3% | 6.7% | 84.8% | 91.5 | Unlucky | |
_Since Last GM Reset | 6 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 12 | 30 | -18 | 0 | 0.000 | 12 | 21 | 33 | 0 | 0 | 6 | 3 | 3 | 0 | 180 | 74 | 50 | 56 | 0 | 198 | 65 | 50 | 112 | 13 | 2 | 15.38% | 16 | 2 | 87.50% | 0 | 58 | 113 | 51.33% | 62 | 129 | 48.06% | 41 | 86 | 47.67% | 130 | 81 | 137 | 49 | 92 | 45 | 26.3% | 6.7% | 84.8% | 91.5 | Unlucky | |
Total | 6 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 12 | 30 | -18 | 0 | 0.000 | 12 | 21 | 33 | 0 | 0 | 6 | 3 | 3 | 0 | 180 | 74 | 50 | 56 | 0 | 198 | 65 | 50 | 112 | 13 | 2 | 15.38% | 16 | 2 | 87.50% | 0 | 58 | 113 | 51.33% | 62 | 129 | 48.06% | 41 | 86 | 47.67% | 130 | 81 | 137 | 49 | 92 | 45 | 26.3% | 6.7% | 84.8% | 91.5 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 15 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 113 |
Neutral Zone Start | 86 |
Defensive Zone Start | 129 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 161 |
Faceoffs Lost | 167 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.3 | 9.57 |
2nd Period | 20.7 | 20.31 |
3rd Period | 30.0 | 30.68 |
Overtime | 30.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.0 | 2.67 |
Overtime | 2.0 | 2.83 |
Even Strenght Goal | 10 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 4 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 13 |
---|---|
PP Goal | 2 |
PK Attempt | 16 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 30.0 |
Shots Against | 33.0 |
Goals For | 2.0 |
Goals Against | 5.0 |
Hits | 18.7 |
Shots Blocked | 10.8 |
Pim | 8.3 |
![]() | |
Total Salaries | 72,318,920$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 79,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 55) | 50 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 19 |
LTIR Players | 0 |
Braves Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 39 |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Andrei Svechnikov | LW/RW | 20 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
Bobby Ryan | LW/RW | 33 | 3,625,000$ | 3,625,000$ | 3,625,000$ | 3,625,000$ | UFA | |||||
Braden Holtby | G | 30 | 3,050,000$ | 3,050,000$ | 3,050,000$ | 3,050,000$ | UFA | |||||
Carter Hart | G | 21 | 730,833$ | 730,833$ | 730,833$ | 730,833$ | 730,833$ | RFA | ||||
Cody Glass | C | 21 | 875,000$ | 875,000$ | 875,000$ | RFA | ||||||
Colton Sceviour | C/LW/RW | 31 | 950,000$ | 950,000$ | 950,000$ | UFA | ||||||
David Krejci | C | 34 | 3,625,000$ | 3,625,000$ | 3,625,000$ | 3,625,000$ | 3,625,000$ | UFA | ||||
Dmitri Orlov | D | 28 | 5,610,000$ | 5,610,000$ | 5,610,000$ | UFA | ||||||
Jake DeBrusk | LW/RW | 23 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Jake Muzzin | D | 31 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||||
Jay Bouwmeester | D | 36 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||||
Jeff Carter | C | 35 | 2,900,000$ | 2,900,000$ | 2,900,000$ | UFA | ||||||
Jonas Siegenthaler | D | 23 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | RFA | |||||
Loui Eriksson | LW/RW | 34 | 4,700,000$ | 4,700,000$ | 4,700,000$ | UFA | ||||||
Marc Staal | D | 33 | 2,850,000$ | 2,850,000$ | 2,850,000$ | 2,850,000$ | UFA | |||||
Mattias Ekholm | D | 30 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||||
Nicolas Hague | D | 21 | 725,000$ | 725,000$ | 725,000$ | RFA | ||||||
Nicolas Roy | C/RW | 23 | 720,000$ | 720,000$ | 720,000$ | RFA | ||||||
Nino Niederreiter | LW/RW | 27 | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | UFA | ||||
Shayne Gostisbehere | D | 27 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||||
Travis Zajac | C | 35 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 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 Ginning | D | 20 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Antoine Morand | C | 21 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Arnaud Durandeau | LW | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Blake McLaughlin | LW | 20 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Carsen Twarynski | LW | 22 | 775,883$ | 77,588$ | 77,588$ | 77,588$ | RFA | |||||
David Tendeck | G | 20 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Dmitri Samorukov | D | 21 | 825,000$ | 82,500$ | 82,500$ | RFA | ||||||
Dmitri Semykin | D | 20 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Dominik Masin | D | 24 | 700,000$ | 70,000$ | 70,000$ | 70,000$ | RFA | |||||
Henrik Karlsson | G | 36 | 950,000$ | 95,000$ | 95,000$ | UFA | ||||||
Ian Scott | G | 21 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Jacob Bernard-Docker | D | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Jasper Weatherby | C/LW | 22 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Jimmy Howard | G | 35 | 4,900,000$ | 4,900,000$ | 4,900,000$ | UFA | ||||||
Keaton Middleton | D | 22 | 750,000$ | 75,000$ | 75,000$ | RFA | ||||||
Lauri Pajuniemi | RW | 20 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
Libor Hajek | D | 22 | 833,333$ | 83,333$ | 83,333$ | 83,333$ | RFA | |||||
Lukas Sedlak | C/LW | 27 | 1,369,999$ | 137,000$ | 137,000$ | UFA | ||||||
Maxim Letunov | C | 24 | 700,000$ | 70,000$ | 70,000$ | 70,000$ | RFA | |||||
Michael Pezzetta | C/LW | 22 | 743,333$ | 74,333$ | 74,333$ | RFA | ||||||
Michal Jordan | D | 29 | 625,000$ | 62,500$ | 62,500$ | UFA | ||||||
Miks Indrasis | LW/RW | 29 | 600,000$ | 60,000$ | 60,000$ | UFA | ||||||
Nikita Korostelev | LW/RW | 23 | 575,000$ | 57,500$ | 57,500$ | RFA | ||||||
Nolan Patrick | C | 21 | 875,000$ | 87,500$ | 87,500$ | RFA | ||||||
Patrick Sieloff | D | 26 | 700,000$ | 70,000$ | 70,000$ | RFA | ||||||
Reilly Webb | D | 21 | 575,000$ | 57,500$ | 57,500$ | RFA | ||||||
Samuel Morin | D | 24 | 700,000$ | 70,000$ | 70,000$ | RFA | ||||||
Shane Gersich | C/LW | 23 | 700,000$ | 70,000$ | 70,000$ | RFA | ||||||
Yegor Korshkov | RW | 23 | 925,000$ | 92,500$ | 92,500$ | 92,500$ | RFA |
Forward Lines | |||||||
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 0 | 27 | 9 | 11 | 7 | 0 | 30 | 9 | 11 | 19 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 58 | 113 | 51.33% | 62 | 129 | 48.06% | 41 | 86 | 47.67% | 23 | 14 | 20 | 8 | 16 | 7 | 42.9% | 11.1% | 83.3% | 94.4 | FUN |
2 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 64 | 29 | 19 | 16 | 0 | 61 | 15 | 27 | 38 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 58 | 113 | 51.33% | 62 | 129 | 48.06% | 41 | 86 | 47.67% | 44 | 27 | 44 | 16 | 30 | 15 | 18.2% | 4.7% | 85.2% | 89.9 | Unlucky |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 29 | 10 | 8 | 11 | 0 | 33 | 9 | 6 | 20 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 58 | 113 | 51.33% | 62 | 129 | 48.06% | 41 | 86 | 47.67% | 21 | 14 | 22 | 8 | 15 | 7 | 20.0% | 3.4% | 87.9% | 91.3 | Unlucky |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 30 | 18 | 3 | 9 | 0 | 32 | 16 | 2 | 18 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 58 | 113 | 51.33% | 62 | 129 | 48.06% | 41 | 86 | 47.67% | 20 | 13 | 24 | 7 | 15 | 7 | 25.0% | 10.0% | 81.3% | 91.3 | FUN |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 30 | 8 | 9 | 13 | 0 | 42 | 16 | 4 | 17 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 58 | 113 | 51.33% | 62 | 129 | 48.06% | 41 | 86 | 47.67% | 18 | 11 | 26 | 7 | 14 | 7 | 28.6% | 6.7% | 85.7% | 92.4 | Unlucky |
_Vs Division | 6 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 12 | 30 | -18 | 0 | 0.000 | 12 | 21 | 33 | 0 | 0 | 6 | 3 | 3 | 0 | 180 | 74 | 50 | 56 | 0 | 198 | 65 | 50 | 112 | 13 | 2 | 15.38% | 16 | 2 | 87.50% | 0 | 58 | 113 | 51.33% | 62 | 129 | 48.06% | 41 | 86 | 47.67% | 130 | 81 | 137 | 49 | 92 | 45 | 26.3% | 6.7% | 84.8% | 91.5 | Unlucky | |
_Vs Conference | 6 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 12 | 30 | -18 | 0 | 0.000 | 12 | 21 | 33 | 0 | 0 | 6 | 3 | 3 | 0 | 180 | 74 | 50 | 56 | 0 | 198 | 65 | 50 | 112 | 13 | 2 | 15.38% | 16 | 2 | 87.50% | 0 | 58 | 113 | 51.33% | 62 | 129 | 48.06% | 41 | 86 | 47.67% | 130 | 81 | 137 | 49 | 92 | 45 | 26.3% | 6.7% | 84.8% | 91.5 | Unlucky | |
_Since Last GM Reset | 6 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 12 | 30 | -18 | 0 | 0.000 | 12 | 21 | 33 | 0 | 0 | 6 | 3 | 3 | 0 | 180 | 74 | 50 | 56 | 0 | 198 | 65 | 50 | 112 | 13 | 2 | 15.38% | 16 | 2 | 87.50% | 0 | 58 | 113 | 51.33% | 62 | 129 | 48.06% | 41 | 86 | 47.67% | 130 | 81 | 137 | 49 | 92 | 45 | 26.3% | 6.7% | 84.8% | 91.5 | Unlucky | |
Total | 6 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 12 | 30 | -18 | 0 | 0.000 | 12 | 21 | 33 | 0 | 0 | 6 | 3 | 3 | 0 | 180 | 74 | 50 | 56 | 0 | 198 | 65 | 50 | 112 | 13 | 2 | 15.38% | 16 | 2 | 87.50% | 0 | 58 | 113 | 51.33% | 62 | 129 | 48.06% | 41 | 86 | 47.67% | 130 | 81 | 137 | 49 | 92 | 45 | 26.3% | 6.7% | 84.8% | 91.5 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 15 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 113 |
Neutral Zone Start | 86 |
Defensive Zone Start | 129 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 161 |
Faceoffs Lost | 167 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.3 | 9.57 |
2nd Period | 20.7 | 20.31 |
3rd Period | 30.0 | 30.68 |
Overtime | 30.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.0 | 2.67 |
Overtime | 2.0 | 2.83 |
Even Strenght Goal | 10 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 4 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 13 |
---|---|
PP Goal | 2 |
PK Attempt | 16 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 30.0 |
Shots Against | 33.0 |
Goals For | 2.0 |
Goals Against | 5.0 |
Hits | 18.7 |
Shots Blocked | 10.8 |
Pim | 8.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Thu, Jan 14 | ![]() | @ | ![]() | ROC7,BRA3 | RECAP | |||||||||
Sun, Jan 17 | ![]() | @ | ![]() | BRA0,ROC2 | RECAP | |||||||||
Mon, Jan 18 | ![]() | @ | ![]() | BRA3,GRI6 | RECAP | |||||||||
Tue, Jan 19 | ![]() | @ | ![]() | THU5,BRA3 | RECAP | |||||||||
Thu, Jan 21 | ![]() | @ | ![]() | KNI4,BRA1 | RECAP | |||||||||
Sat, Jan 23 | ![]() | @ | ![]() | HIT6,BRA2 | RECAP | |||||||||
Sun, Jan 24 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
Tue, Jan 26 | ![]() | @ | ![]() | |||||||||||
Wed, Jan 27 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 28 | ![]() | @ | ![]() | |||||||||||
Sun, Jan 31 | ![]() | @ | ![]() | |||||||||||
Mon, Feb 1 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
69,499,166$ | 0$ | 0$ | 79,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Stanley Stadium | |
City | Copper Cliff | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 20$ | 200$ |
Attendance | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
2 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
69,499,166$ | 69,499,166$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 11 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 23,648,645$ | 23,648,645$ |
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 |
---|---|---|---|---|---|
Andre Lee | ![]() | 2019 | 164 | ||
Bear Hughes | ![]() | 2020 | 140 | ||
Connor Zary | ![]() | 2020 | 23 | ||
Daniil Chechelev | ![]() | 2020 | 102 | ||
Dustin Wolf | ![]() | 2019 | 136 | ||
Hendrix Lapierre | ![]() | 2020 | 18 | ||
Jack Thompson | ![]() | 2020 | 74 | ||
Jakob Pelletier | ![]() | 2019 | 24 | ||
Lucas Feuk | ![]() | 2019 | 108 | ||
Maxim Beryozkin | ![]() | 2020 | 130 | ||
Quinn Olson | ![]() | 2019 | 80 | ||
Raivis Ansons | ![]() | 2020 | 158 | ||
Samuel Bolduc | ![]() | 2019 | 52 | ||
Trent Miner | ![]() | 2019 | 192 | ||
Tyler Kleven | ![]() | 2020 | 56 | ||
Wyatt Schingoethe | ![]() | 2020 | 186 | ||
Yan Kuznetsov | ![]() | 2020 | 46 |
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 |
---|---|---|---|---|---|
Andre Lee | ![]() | 2019 | 164 | ||
Bear Hughes | ![]() | 2020 | 140 | ||
Connor Zary | ![]() | 2020 | 23 | ||
Daniil Chechelev | ![]() | 2020 | 102 | ||
Dustin Wolf | ![]() | 2019 | 136 | ||
Hendrix Lapierre | ![]() | 2020 | 18 | ||
Jack Thompson | ![]() | 2020 | 74 | ||
Jakob Pelletier | ![]() | 2019 | 24 | ||
Lucas Feuk | ![]() | 2019 | 108 | ||
Maxim Beryozkin | ![]() | 2020 | 130 | ||
Quinn Olson | ![]() | 2019 | 80 | ||
Raivis Ansons | ![]() | 2020 | 158 | ||
Samuel Bolduc | ![]() | 2019 | 52 | ||
Trent Miner | ![]() | 2019 | 192 | ||
Tyler Kleven | ![]() | 2020 | 56 | ||
Wyatt Schingoethe | ![]() | 2020 | 186 | ||
Yan Kuznetsov | ![]() | 2020 | 46 |
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