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Full Scoreboard »» |
![]() | Boston Bruins 2-1-1, 5pts · 8th in Eastern Conference |
Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C/RW | 99.00 | 68 | 42 | 79 | 92 | 78 | 89 | 87 | 86 | 75 | 79 | 81 | 88 | 86 | 79 | 69 | 1 | 81 | 27 | 5,000,000$/3yrs | |||||
![]() | C | 100.00 | 71 | 61 | 68 | 84 | 73 | 89 | 94 | 92 | 72 | 82 | 87 | 71 | 88 | 91 | 84 | 1 | 81 | 34 | 8,200,000$/4yrs | |||||
![]() | RW | 100.00 | 79 | 41 | 83 | 75 | 84 | 86 | 95 | 84 | 51 | 76 | 78 | 72 | 79 | 90 | 80 | 1 | 78 | 32 | 4,500,000$/1yrs | |||||
![]() | LW/RW | 100.00 | 70 | 61 | 72 | 87 | 69 | 88 | 87 | 86 | 47 | 80 | 78 | 73 | 84 | 76 | 66 | 1 | 77 | 29 | 4,500,000$/1yrs | |||||
![]() | C/LW | 100.00 | 67 | 42 | 82 | 81 | 76 | 88 | 89 | 80 | 70 | 78 | 74 | 76 | 78 | 82 | 72 | 1 | 76 | 30 | 3,500,000$/4yrs | |||||
![]() | C/RW | 99.00 | 71 | 42 | 77 | 86 | 77 | 85 | 76 | 85 | 65 | 80 | 79 | 70 | 83 | 56 | 50 | 1 | 76 | 21 | 975,000$/2yrs | |||||
![]() | LW/RW | 100.00 | 77 | 54 | 73 | 78 | 91 | 87 | 77 | 84 | 40 | 77 | 80 | 72 | 80 | 59 | 50 | 1 | 75 | 22 | 975,000$/1yrs | |||||
![]() | C/LW/RW | 100.00 | 72 | 42 | 86 | 78 | 81 | 85 | 83 | 80 | 68 | 73 | 76 | 69 | 78 | 68 | 58 | 1 | 74 | 24 | 2,000,000$/1yrs | |||||
![]() | C | 100.00 | 82 | 79 | 65 | 75 | 79 | 83 | 90 | 74 | 81 | 71 | 68 | 75 | 72 | 85 | 75 | 1 | 74 | 33 | 3,000,000$/2yrs | |||||
![]() | LW | 100.00 | 79 | 46 | 84 | 82 | 86 | 85 | 75 | 81 | 59 | 75 | 76 | 72 | 80 | 59 | 50 | 1 | 74 | 23 | 3,000,000$/4yrs | |||||
![]() | LW/RW | 100.00 | 62 | 41 | 83 | 74 | 85 | 85 | 81 | 77 | 50 | 71 | 76 | 65 | 75 | 82 | 72 | 1 | 73 | 27 | 5,900,000$/2yrs | |||||
![]() | RW | 100.00 | 68 | 42 | 82 | 76 | 70 | 76 | 80 | 75 | 64 | 66 | 75 | 67 | 75 | 70 | 62 | 1 | 71 | 28 | 1,500,000$/1yrs | |||||
![]() | D | 99.00 | 66 | 41 | 86 | 85 | 66 | 90 | 89 | 78 | 40 | 74 | 69 | 82 | 77 | 90 | 92 | 1 | 78 | 35 | 4,000,000$/3yrs | |||||
![]() | D | 99.00 | 73 | 44 | 80 | 79 | 83 | 87 | 85 | 79 | 40 | 77 | 67 | 87 | 75 | 76 | 66 | 1 | 78 | 30 | 4,500,000$/4yrs | |||||
![]() | D | 100.00 | 65 | 41 | 82 | 80 | 82 | 92 | 84 | 82 | 40 | 81 | 71 | 78 | 78 | 76 | 72 | 1 | 77 | 25 | 5,000,000$/1yrs | |||||
![]() | D | 100.00 | 73 | 50 | 79 | 74 | 88 | 85 | 85 | 73 | 40 | 67 | 65 | 82 | 70 | 76 | 66 | 1 | 75 | 30 | 3,500,000$/4yrs | |||||
![]() | D | 100.00 | 71 | 43 | 75 | 75 | 85 | 87 | 85 | 73 | 40 | 68 | 64 | 80 | 70 | 76 | 66 | 1 | 74 | 28 | 4,500,000$/2yrs | |||||
![]() | D | 100.00 | 67 | 40 | 84 | 74 | 81 | 81 | 75 | 76 | 40 | 72 | 68 | 77 | 72 | 62 | 53 | 1 | 72 | 24 | 3,000,000$/4yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | LW/RW | 100.00 | 69 | 41 | 70 | 84 | 73 | 84 | 76 | 78 | 49 | 75 | 70 | 71 | 78 | 56 | 50 | 1 | 72 | 20 | 975,000$/2yrs | |||||
![]() | C/LW/RW | 100.00 | 69 | 42 | 85 | 77 | 79 | 83 | 76 | 75 | 51 | 73 | 70 | 67 | 74 | 63 | 53 | 1 | 71 | 23 | 1,500,000$/3yrs | |||||
![]() | LW | 100.00 | 68 | 42 | 92 | 81 | 75 | 83 | 80 | 74 | 64 | 73 | 68 | 67 | 74 | 63 | 53 | 1 | 71 | 23 | 1,500,000$/4yrs | |||||
![]() | LW/RW | 100.00 | 68 | 60 | 69 | 78 | 69 | 80 | 78 | 76 | 47 | 70 | 71 | 64 | 75 | 63 | 53 | 1 | 70 | 29 | 1,500,000$/1yrs | |||||
TEAM AVERAGE | 99.82 | 71 | 47 | 79 | 80 | 79 | 85 | 83 | 79 | 54 | 74 | 73 | 74 | 77 | 73 | 64 | 1 | 75 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 93 | 90 | 92 | 84 | 94 | 93 | 91 | 92 | 92 | 93 | 86 | 68 | 61 | 1 | 83 | 29 | 7,000,000$/1yrs | |
![]() | 0 | 100.00 | 82 | 88 | 87 | 79 | 87 | 83 | 79 | 81 | 81 | 86 | 77 | 85 | 78 | 1 | 76 | 32 | 4,300,000$/2yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 88 | 89 | 90 | 82 | 91 | 88 | 85 | 87 | 87 | 90 | 82 | 77 | 70 | 1 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dave Hakstol | 77 | 77 | 77 | 79 | 83 | 80 | 1 | CAN | 56 | 1 | 5,500,000$ |
General Manager | Nicholas Benoit |
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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% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Conor Garland | ![]() | 0 | LW/RW | 4 | 3 | 2 | 5 | 1 | 4 | 0 | 7 | 11 | 6 | 5 | 27.27% | 3 | 18.55 | 1 | 1 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 1.25 | 3 | 3 | 1.14 | ||
2 | Nazem Kadri | ![]() | 0 | C | 4 | 1 | 4 | 5 | 1 | 8 | 0 | 5 | 13 | 4 | 15 | 7.69% | 1 | 17.25 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 1 | 57.63% | 0 | 0 | 1.25 | 0 | 3 | 0.96 | ||
3 | J.T. Compher | ![]() | 0 | C/LW | 4 | 1 | 1 | 2 | 0 | 0 | 0 | 2 | 12 | 2 | 12 | 8.33% | 4 | 17.48 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 47.06% | 0 | 0 | 0.50 | 0 | 1 | 0.70 | ||
4 | Logan Cooley | ![]() | 0 | C/RW | 4 | 1 | 1 | 2 | -1 | 0 | 0 | 7 | 10 | 1 | 8 | 10.00% | 1 | 21.87 | 1 | 1 | 2 | 0 | 0 | 0 | 8 | 0 | 0 | 42.86% | 0 | 0 | 0.50 | 0 | 2 | 0.52 | ||
5 | Matthew Knies | ![]() | 0 | LW/RW | 4 | 1 | 1 | 2 | -1 | 6 | 0 | 7 | 6 | 1 | 5 | 16.67% | 3 | 18.78 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.50 | 0 | 2 | 0.21 | ||
6 | Jared Spurgeon | ![]() | 0 | D | 4 | 1 | 0 | 1 | 0 | 4 | 0 | 6 | 8 | 1 | 3 | 12.50% | 11 | 29.02 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.32 | ||
7 | Ryan Graves | ![]() | 0 | D | 4 | 0 | 1 | 1 | 1 | 2 | 0 | 3 | 4 | 0 | 1 | 0.00% | 4 | 20.31 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.28 | ||
8 | Nino Niederreiter | ![]() | 0 | RW | 4 | 1 | 0 | 1 | 1 | 0 | 0 | 4 | 4 | 3 | 5 | 25.00% | 0 | 15.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 100.00% | 0 | 0 | 0.25 | 1 | 2 | 0.41 | ||
9 | Anthony Cirelli | ![]() | 0 | C/RW | 4 | 0 | 1 | 1 | -1 | 4 | 0 | 8 | 9 | 2 | 4 | 0.00% | 3 | 23.21 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 52.42% | 0 | 0 | 0.25 | 0 | 3 | 0.14 | ||
10 | Miro Heiskanen | ![]() | 0 | D | 4 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 8 | 3 | 4 | 0.00% | 6 | 20.94 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.48 | ||
11 | Alex Newhook | ![]() | 0 | C/LW/RW | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 8 | 1 | 8 | 12.50% | 0 | 11.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.25 | 0 | 0 | 0.41 | ||
12 | Dylan Holloway | ![]() | 0 | LW | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 8 | 5 | 1 | 3 | 0.00% | 5 | 10.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.25 | 1 | 2 | 0.37 | ||
13 | Patrik Laine | ![]() | 0 | LW/RW | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 7 | 2 | 1 | 0.00% | 0 | 10.55 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | 0.05 | ||
14 | Adam Gaudette | ![]() | 0 | RW | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 5 | 0 | 2 | 0.00% | 0 | 6.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.03 | ||
15 | Jonas Siegenthaler | ![]() | 0 | D | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 4 | 4 | 5 | 1 | 0.00% | 3 | 14.03 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | ||
16 | Matt Roy | ![]() | 0 | D | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 2 | 5 | 2 | 0.00% | 5 | 26.16 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.04 | ||
17 | Sam Carrick | ![]() | 0 | C | 4 | 0 | 0 | 0 | -1 | 2 | 0 | 3 | 3 | 0 | 4 | 0.00% | 2 | 7.14 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 77.78% | 0 | 0 | 0.00 | 0 | 0 | -0.04 | ||
18 | Philip Broberg | ![]() | 0 | D | 4 | 0 | 0 | 0 | -2 | 4 | 0 | 0 | 2 | 0 | 0 | 0.00% | 4 | 13.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.30 | ||
Team Total or Average | 72 | 10 | 13 | 23 | -5 | 36 | 0 | 76 | 121 | 37 | 83 | 8.26% | 55 | 16.87 | 3 | 4 | 7 | 108 | 0 | 0 | 0 | 121 | 0 | 2 | 53.97% | 252 | 31 | 20 | 0 | 0 | 0.38 | 5 | 18 |
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 | Ilya Sorokin | ![]() | 4 | 2 | 1 | 1 | 0.907 | 2.60 | 254 | 0 | 0 | 11 | 118 | 46 | 1 | 0 | 0.778 | 18 | 4 | 0 | 1 | 0 | 0 |
Team Total or Average | 4 | 2 | 1 | 1 | 0.907 | 2.60 | 254 | 0 | 0 | 11 | 118 | 46 | 1 | 0 | 0.778 | 18 | 4 | 0 | 1 | 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 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 3 | 0 | 0 | 0 | 29 | 13 | 8 | 8 | 0 | 31 | 13 | 14 | 21 | 3 | 1 | 33.33% | 7 | 2 | 71.43% | 0 | 54 | 88 | 61.36% | 61 | 106 | 57.55% | 21 | 51 | 41.18% | 19 | 10 | 22 | 9 | 18 | 8 | 50.0% | 10.3% | 87.1% | 97.4 | FUN |
2 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 5 | 9 | 0 | 0 | 1 | 1 | 2 | 1 | 26 | 6 | 15 | 5 | 7 | 33 | 21 | 6 | 16 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 54 | 88 | 61.36% | 61 | 106 | 57.55% | 21 | 51 | 41.18% | 19 | 11 | 26 | 10 | 18 | 8 | 44.4% | 15.4% | 84.8% | 100.2 | FUN |
3 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 1 | 3 | 0 | 0 | 1 | 0 | 0 | 1 | 36 | 8 | 18 | 7 | 6 | 19 | 13 | 10 | 19 | 1 | 1 | 100.00% | 5 | 0 | 100.00% | 0 | 54 | 88 | 61.36% | 61 | 106 | 57.55% | 21 | 51 | 41.18% | 24 | 14 | 19 | 10 | 20 | 9 | 50.0% | 5.6% | 94.7% | 100.3 | DULL |
4 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 2 | 5 | 0 | 0 | 1 | 0 | 1 | 3 | 30 | 10 | 2 | 17 | 9 | 35 | 8 | 6 | 20 | 7 | 1 | 14.29% | 3 | 1 | 66.67% | 0 | 54 | 88 | 61.36% | 61 | 106 | 57.55% | 21 | 51 | 41.18% | 22 | 11 | 23 | 10 | 19 | 10 | 66.7% | 10.0% | 94.3% | 104.3 | LUCKY |
_Vs Division | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 6 | 11 | 0 | 0 | 4 | 0 | 0 | 1 | 65 | 21 | 26 | 15 | 6 | 50 | 26 | 24 | 40 | 4 | 2 | 50.00% | 12 | 2 | 83.33% | 0 | 54 | 88 | 61.36% | 61 | 106 | 57.55% | 21 | 51 | 41.18% | 44 | 24 | 41 | 19 | 39 | 18 | 50.0% | 7.7% | 90.0% | 97.7 | Unlucky | |
_Vs Conference | 3 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 8 | 7 | 1 | 4 | 0.667 | 8 | 8 | 16 | 0 | 0 | 5 | 0 | 1 | 4 | 95 | 31 | 28 | 32 | 15 | 85 | 34 | 30 | 60 | 11 | 3 | 27.27% | 15 | 3 | 80.00% | 0 | 54 | 88 | 61.36% | 61 | 106 | 57.55% | 21 | 51 | 41.18% | 66 | 36 | 64 | 29 | 59 | 29 | 55.6% | 8.4% | 91.8% | 100.2 | DULL | |
_Since Last GM Reset | 4 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 12 | 12 | 0 | 5 | 0.625 | 12 | 13 | 25 | 0 | 0 | 6 | 1 | 3 | 5 | 121 | 37 | 43 | 37 | 22 | 118 | 55 | 36 | 76 | 13 | 3 | 23.08% | 18 | 3 | 83.33% | 0 | 54 | 88 | 61.36% | 61 | 106 | 57.55% | 21 | 51 | 41.18% | 85 | 47 | 91 | 39 | 77 | 37 | 50.0% | 9.9% | 89.8% | 99.7 | FUN | |
Total | 4 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 12 | 12 | 0 | 5 | 0.625 | 12 | 13 | 25 | 0 | 0 | 6 | 1 | 3 | 5 | 121 | 37 | 43 | 37 | 22 | 118 | 55 | 36 | 76 | 13 | 3 | 23.08% | 18 | 3 | 83.33% | 0 | 54 | 88 | 61.36% | 61 | 106 | 57.55% | 21 | 51 | 41.18% | 85 | 47 | 91 | 39 | 77 | 37 | 50.0% | 9.9% | 89.8% | 99.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 19 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 88 |
Neutral Zone Start | 51 |
Defensive Zone Start | 106 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 32 |
Faceoffs | |
---|---|
Faceoffs Won | 136 |
Faceoffs Lost | 109 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.3 | 9.57 |
2nd Period | 20.0 | 20.31 |
3rd Period | 29.3 | 30.68 |
Overtime | 34.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 3.8 | 2.83 |
Even Strenght Goal | 9 |
---|---|
PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 1 | 0 |
Overtime Lost | 1 | 0 |
PP Attempt | 13 |
---|---|
PP Goal | 3 |
PK Attempt | 18 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 30.3 |
Shots Against | 29.5 |
Goals For | 3.0 |
Goals Against | 3.0 |
Hits | 19.0 |
Shots Blocked | 13.8 |
Pim | 9.0 |
![]() | |
Projected Total Cap Hit | 84,325,000$ |
Projected Cap Space | 11,175,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 3,513,544$ |
Players In Salary Cap | 24 |
Contracts | 47/50 |
LTIR Players | 0 |
Bruins Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Gaudette ![]() | RW | 28 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Alex Newhook ![]() | C/LW/RW | 24 | 2,000,000$ | 2,000,000$ | RFA | ||||||
Anthony Cirelli ![]() | C/RW | 27 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Anton Forsberg ![]() | G | 32 | 4,300,000$ | 4,300,000$ | 4,300,000$ | UFA | |||||
Conor Garland ![]() | LW/RW | 29 | 4,500,000$ | 4,500,000$ | UFA | ||||||
Dylan Holloway ![]() | LW | 23 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | ![]() | |||
Ilya Sorokin ![]() | G | 29 | 7,000,000$ | 7,000,000$ | UFA | ||||||
J.T. Compher ![]() | C/LW | 30 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
Jared Spurgeon ![]() | D | 35 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Jonas Siegenthaler ![]() | D | 28 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Logan Cooley ![]() | C/RW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Lukas Reichel ![]() | LW | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ![]() | |||
Matt Roy ![]() | D | 30 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Matthew Knies ![]() | LW/RW | 22 | 975,000$ | 975,000$ | RFA | ||||||
Michael Carcone ![]() | LW/RW | 29 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Miro Heiskanen ![]() | D | 25 | 5,000,000$ | 5,000,000$ | ![]() | ||||||
Nazem Kadri ![]() | C | 34 | 8,200,000$ | 8,200,000$ | 8,200,000$ | 8,200,000$ | 8,200,000$ | UFA | |||
Nino Niederreiter ![]() | RW | 32 | 4,500,000$ | 4,500,000$ | UFA | ||||||
Patrik Laine ![]() | LW/RW | 27 | 5,900,000$ | 5,900,000$ | 5,900,000$ | UFA | |||||
Philip Broberg ![]() | D | 24 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | ![]() | |||
Philip Tomasino ![]() | C/LW/RW | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ![]() | ||||
Ryan Graves ![]() | D | 30 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
Sam Carrick ![]() | C | 33 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Zach Benson ![]() | LW/RW | 20 | 975,000$ | 975,000$ | 975,000$ | RFA |
Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Angello ![]() | C | 29 | 975,000$ | 975,000$ | UFA | ||||||
Anthony Richard ![]() | C/LW/RW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Ashton Sautner ![]() | D | 31 | 975,000$ | 975,000$ | UFA | ||||||
Austin Poganski ![]() | RW | 29 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Austin Strand ![]() | D | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Blake Hillman ![]() | D | 29 | 975,000$ | 975,000$ | UFA | ||||||
Brian Halonen ![]() | LW | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | ![]() | |||||
Dan Renouf ![]() | D | 31 | 975,000$ | 975,000$ | UFA | ||||||
Fabian Wagner ![]() | C | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Graeme Clarke ![]() | RW | 24 | 975,000$ | 975,000$ | RFA | ||||||
Jacob Ingham ![]() | G | 25 | 975,000$ | 975,000$ | ![]() | ||||||
Jagger Firkus ![]() | RW | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Jake Christiansen ![]() | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | ||||
Jared Moe ![]() | G | 25 | 975,000$ | 975,000$ | 975,000$ | ![]() | |||||
Jean-Luc Foudy ![]() | C | 23 | 975,000$ | 975,000$ | RFA | ||||||
Jeff Malott ![]() | LW | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Ken Appleby ![]() | G | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Logan Shaw ![]() | C/LW/RW | 32 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Matt Benning ![]() | D | 31 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Max Lajoie ![]() | D | 27 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Pierrick Dubé ![]() | RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Rasmus Asplund ![]() | C | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Travis Barron ![]() | LW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA |
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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 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 3 | 0 | 0 | 0 | 29 | 13 | 8 | 8 | 0 | 31 | 13 | 14 | 21 | 3 | 1 | 33.33% | 7 | 2 | 71.43% | 0 | 54 | 88 | 61.36% | 61 | 106 | 57.55% | 21 | 51 | 41.18% | 19 | 10 | 22 | 9 | 18 | 8 | 50.0% | 10.3% | 87.1% | 97.4 | FUN |
2 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 5 | 9 | 0 | 0 | 1 | 1 | 2 | 1 | 26 | 6 | 15 | 5 | 7 | 33 | 21 | 6 | 16 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 54 | 88 | 61.36% | 61 | 106 | 57.55% | 21 | 51 | 41.18% | 19 | 11 | 26 | 10 | 18 | 8 | 44.4% | 15.4% | 84.8% | 100.2 | FUN |
3 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 1 | 3 | 0 | 0 | 1 | 0 | 0 | 1 | 36 | 8 | 18 | 7 | 6 | 19 | 13 | 10 | 19 | 1 | 1 | 100.00% | 5 | 0 | 100.00% | 0 | 54 | 88 | 61.36% | 61 | 106 | 57.55% | 21 | 51 | 41.18% | 24 | 14 | 19 | 10 | 20 | 9 | 50.0% | 5.6% | 94.7% | 100.3 | DULL |
4 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 2 | 5 | 0 | 0 | 1 | 0 | 1 | 3 | 30 | 10 | 2 | 17 | 9 | 35 | 8 | 6 | 20 | 7 | 1 | 14.29% | 3 | 1 | 66.67% | 0 | 54 | 88 | 61.36% | 61 | 106 | 57.55% | 21 | 51 | 41.18% | 22 | 11 | 23 | 10 | 19 | 10 | 66.7% | 10.0% | 94.3% | 104.3 | LUCKY |
_Vs Division | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 6 | 11 | 0 | 0 | 4 | 0 | 0 | 1 | 65 | 21 | 26 | 15 | 6 | 50 | 26 | 24 | 40 | 4 | 2 | 50.00% | 12 | 2 | 83.33% | 0 | 54 | 88 | 61.36% | 61 | 106 | 57.55% | 21 | 51 | 41.18% | 44 | 24 | 41 | 19 | 39 | 18 | 50.0% | 7.7% | 90.0% | 97.7 | Unlucky | |
_Vs Conference | 3 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 8 | 7 | 1 | 4 | 0.667 | 8 | 8 | 16 | 0 | 0 | 5 | 0 | 1 | 4 | 95 | 31 | 28 | 32 | 15 | 85 | 34 | 30 | 60 | 11 | 3 | 27.27% | 15 | 3 | 80.00% | 0 | 54 | 88 | 61.36% | 61 | 106 | 57.55% | 21 | 51 | 41.18% | 66 | 36 | 64 | 29 | 59 | 29 | 55.6% | 8.4% | 91.8% | 100.2 | DULL | |
_Since Last GM Reset | 4 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 12 | 12 | 0 | 5 | 0.625 | 12 | 13 | 25 | 0 | 0 | 6 | 1 | 3 | 5 | 121 | 37 | 43 | 37 | 22 | 118 | 55 | 36 | 76 | 13 | 3 | 23.08% | 18 | 3 | 83.33% | 0 | 54 | 88 | 61.36% | 61 | 106 | 57.55% | 21 | 51 | 41.18% | 85 | 47 | 91 | 39 | 77 | 37 | 50.0% | 9.9% | 89.8% | 99.7 | FUN | |
Total | 4 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 12 | 12 | 0 | 5 | 0.625 | 12 | 13 | 25 | 0 | 0 | 6 | 1 | 3 | 5 | 121 | 37 | 43 | 37 | 22 | 118 | 55 | 36 | 76 | 13 | 3 | 23.08% | 18 | 3 | 83.33% | 0 | 54 | 88 | 61.36% | 61 | 106 | 57.55% | 21 | 51 | 41.18% | 85 | 47 | 91 | 39 | 77 | 37 | 50.0% | 9.9% | 89.8% | 99.7 | FUN |
Puck Time | |
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Offensive Zone | 21 |
Neutral Zone | 19 |
Defensive Zone | 22 |
Puck Time | |
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Offensive Zone Start | 88 |
Neutral Zone Start | 51 |
Defensive Zone Start | 106 |
Puck Time | |
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With Puck | 31 |
Without Puck | 32 |
Faceoffs | |
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Faceoffs Won | 136 |
Faceoffs Lost | 109 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.3 | 9.57 |
2nd Period | 20.0 | 20.31 |
3rd Period | 29.3 | 30.68 |
Overtime | 34.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 3.8 | 2.83 |
Even Strenght Goal | 9 |
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PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 1 | 1 |
Lost | 1 | 0 |
Overtime Lost | 1 | 0 |
PP Attempt | 13 |
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PP Goal | 3 |
PK Attempt | 18 |
PK Goal Against | 3 |
Home | |
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Shots For | 30.3 |
Shots Against | 29.5 |
Goals For | 3.0 |
Goals Against | 3.0 |
Hits | 19.0 |
Shots Blocked | 13.8 |
Pim | 9.0 |
Date | Matchup | Result | Detail | |||||||||||
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Thu, Oct 9 | ![]() | @ | ![]() | BOS3,WAS2 (SO) | RECAP | |||||||||
Fri, Oct 10 | ![]() | @ | ![]() | CHI5,BOS4 (SO) | RECAP | |||||||||
Sun, Oct 12 | ![]() | @ | ![]() | BUF4,BOS3 | RECAP | |||||||||
Tue, Oct 14 | ![]() | @ | ![]() | TAM1,BOS2 (SO) | RECAP | |||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,325,000$ | 0$ | 84,325,000$ | 11,175,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | FleetCenter | |
City | Boston | ||
Capacity | 24865 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6450 | 5800 | 5465 | 6000 | 1150 |
Ticket Price | 92$ | 54$ | 29$ | 19$ | 200$ |
Attendance | 17968 | 14725 | 10588 | 10021 | 3013 |
Attendance PCT | 92.86% | 84.63% | 64.58% | 55.67% | 87.33% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
38 | 18772 - 75.49% | 1,537,578$ | 4,612,734$ | 24865 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,325,000$ | 84,325,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
3,742,712$ | 84,325,000$ | 3,513,544$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
58,427,964$ | 184 | 467,839$ | 86,082,376$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
88,904,706$ | 84,325,000$ | 232,306,379$ | 201,829,637$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2026 | ![]() | ![]() | ![]() ![]() | ![]() ![]() | ![]() | ![]() | |
2027 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() ![]() | ![]() |
2028 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2030 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Ben Meehan | ![]() | 2020 | 208 | ||
Cullen Potter | ![]() | 2025 | 28 | ||
Daniil Karpovich | ![]() | 2023 | 154 | ||
Ethan Wyttenbach | ![]() | 2025 | 124 | ||
Francesco Dell'elce | ![]() | 2025 | 104 | ||
Jaromir Pytlik | ![]() | 2020 | 115 | ||
Joona Saarelainen | ![]() | 2024 | 210 | ||
Luke Coughlin | ![]() | 2023 | 186 | ||
Mason Langenbrunner | ![]() | 2020 | 213 | ||
Matvei Korotky | ![]() | 2024 | 212 | ||
Melvin Fernström | ![]() | 2024 | 103 | ||
Nathan Burke | ![]() | ||||
Noah Powell | ![]() | 2024 | 202 | ||
Norwin Panocha | ![]() | 2023 | 218 | ||
Oskar Vuollet | ![]() | 2024 | 160 | ||
Simon Zether | ![]() | 2024 | 105 | ||
Trevor Connelly | ![]() | 2024 | 20 | ||
Ty Smilanic | ![]() | 2020 | 68 | ||
William Whitelaw | ![]() | 2023 | 72 | ||
Yegor Yegorov | ![]() | 2023 | 204 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2026 | ![]() | ![]() | ![]() ![]() | ![]() ![]() | ![]() | ![]() | |
2027 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() ![]() | ![]() |
2028 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2030 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Ben Meehan | ![]() | 2020 | 208 | ||
Cullen Potter | ![]() | 2025 | 28 | ||
Daniil Karpovich | ![]() | 2023 | 154 | ||
Ethan Wyttenbach | ![]() | 2025 | 124 | ||
Francesco Dell'elce | ![]() | 2025 | 104 | ||
Jaromir Pytlik | ![]() | 2020 | 115 | ||
Joona Saarelainen | ![]() | 2024 | 210 | ||
Luke Coughlin | ![]() | 2023 | 186 | ||
Mason Langenbrunner | ![]() | 2020 | 213 | ||
Matvei Korotky | ![]() | 2024 | 212 | ||
Melvin Fernström | ![]() | 2024 | 103 | ||
Nathan Burke | ![]() | ||||
Noah Powell | ![]() | 2024 | 202 | ||
Norwin Panocha | ![]() | 2023 | 218 | ||
Oskar Vuollet | ![]() | 2024 | 160 | ||
Simon Zether | ![]() | 2024 | 105 | ||
Trevor Connelly | ![]() | 2024 | 20 | ||
Ty Smilanic | ![]() | 2020 | 68 | ||
William Whitelaw | ![]() | 2023 | 72 | ||
Yegor Yegorov | ![]() | 2023 | 204 |
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