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Boston Bruins 0-0-0, 0pts · 16th in Eastern Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 92 | C/LW | 100.00 | 70 | 43 | 84 | 66 | 84 | 80 | 79 | 65 | 87 | 63 | 60 | 83 | 62 | 75 | 73 | 27 | 75 | 0 | 31 | 1,150,000$/1yrs | |||
![]() | 27 | C/LW/RW | 100.00 | 72 | 60 | 71 | 73 | 93 | 86 | 88 | 72 | 58 | 74 | 71 | 68 | 73 | 70 | 72 | 36 | 75 | 0 | 29 | 4,500,050$/2yrs | |||
![]() | 34 | LW/RW | 100.00 | 73 | 41 | 79 | 65 | 73 | 87 | 82 | 63 | 66 | 65 | 64 | 71 | 66 | 72 | 74 | 59 | 75 | 0 | 30 | 835,000$/1yrs | |||
![]() | 37 | LW/RW | 100.00 | 80 | 39 | 70 | 82 | 79 | 88 | 83 | 84 | 59 | 81 | 78 | 66 | 82 | 67 | 70 | 88 | 75 | 0 | 24 | 7,750,000$/5yrs | |||
![]() | 17 | LW | 100.00 | 89 | 84 | 62 | 81 | 92 | 89 | 90 | 82 | 79 | 81 | 83 | 67 | 80 | 69 | 84 | 86 | 75 | 0 | 24 | 8,205,714$/4yrs | |||
![]() | 61 | RW | 100.00 | 65 | 37 | 90 | 76 | 86 | 90 | 78 | 81 | 50 | 83 | 77 | 87 | 75 | 78 | 90 | 30 | 75 | 0 | 32 | 9,500,000$/3yrs | |||
![]() | 19 | C/LW/RW | 100.00 | 63 | 34 | 91 | 68 | 72 | 86 | 78 | 66 | 75 | 71 | 67 | 70 | 65 | 72 | 73 | 38 | 75 | 0 | 30 | 1,260,000$/1yrs | |||
![]() | 10 | C | 100.00 | 68 | 35 | 95 | 77 | 75 | 88 | 89 | 76 | 78 | 75 | 73 | 68 | 77 | 62 | 70 | 91 | 75 | 0 | 21 | 897,500$/1yrs | |||
![]() | 18 | C/LW | 100.00 | 70 | 38 | 94 | 77 | 88 | 86 | 90 | 76 | 83 | 79 | 74 | 72 | 75 | 71 | 73 | 75 | 75 | 0 | 27 | 4,750,000$/3yrs | |||
![]() | 64 | C/LW/RW | 100.00 | 75 | 34 | 92 | 71 | 69 | 80 | 85 | 64 | 66 | 61 | 62 | 87 | 63 | 71 | 73 | 47 | 75 | 0 | 29 | 1,035,000$/1yrs | |||
![]() | 89 | LW/RW | 100.00 | 69 | 44 | 84 | 80 | 89 | 90 | 88 | 75 | 58 | 81 | 79 | 85 | 77 | 71 | 76 | 69 | 75 | 0 | 28 | 4,750,000$/3yrs | |||
![]() | 12 | C/LW | 100.00 | 66 | 37 | 89 | 83 | 86 | 88 | 89 | 81 | 84 | 79 | 83 | 77 | 82 | 71 | 78 | 60 | 75 | 0 | 27 | 8,450,000$/7yrs | |||
![]() | 6 | D | 100.00 | 80 | 75 | 65 | 63 | 93 | 86 | 82 | 62 | 30 | 64 | 60 | 84 | 50 | 71 | 73 | 39 | 75 | 0 | 30 | 1,150,000$/3yrs | |||
![]() | 14 | D | 100.00 | 73 | 42 | 85 | 71 | 94 | 92 | 89 | 72 | 30 | 78 | 70 | 85 | 57 | 83 | 76 | 33 | 75 | 0 | 34 | 6,250,000$/2yrs | |||
![]() | 38 | D | 100.00 | 68 | 35 | 95 | 69 | 73 | 88 | 85 | 67 | 30 | 72 | 62 | 70 | 54 | 80 | 74 | 26 | 75 | 0 | 33 | 930,000$/1yrs | |||
![]() | 23 | D | 100.00 | 70 | 39 | 88 | 65 | 93 | 90 | 88 | 62 | 30 | 73 | 63 | 87 | 52 | 71 | 73 | 49 | 75 | 0 | 29 | 4,500,000$/5yrs | |||
![]() | 42 | D | 100.00 | 71 | 38 | 84 | 70 | 73 | 93 | 90 | 69 | 30 | 78 | 71 | 90 | 56 | 70 | 72 | 49 | 75 | 0 | 28 | 5,750,000$/8yrs | |||
![]() | 47 | D | 100.00 | 70 | 35 | 92 | 74 | 76 | 95 | 90 | 72 | 30 | 83 | 69 | 92 | 56 | 72 | 71 | 48 | 75 | 0 | 30 | 6,875,000$/5yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 13 | LW/RW | 0.00 | 71 | 38 | 93 | 81 | 88 | 91 | 80 | 79 | 53 | 80 | 82 | 84 | 78 | 73 | 75 | 70 | 75 | 0 | 29 | 5,800,000$/5yrs | |||
![]() | 26 | RW | 100.00 | 66 | 35 | 85 | 67 | 80 | 76 | 85 | 67 | 58 | 67 | 66 | 60 | 64 | 60 | 60 | 85 | 75 | 0 | 25 | 950,000$/1yrs | |||
![]() | 28 | D | 100.00 | 71 | 58 | 81 | 64 | 94 | 88 | 86 | 62 | 30 | 70 | 61 | 77 | 53 | 67 | 69 | 56 | 75 | 0 | 27 | 775,000$/1yrs | |||
![]() | 43 | D | 100.00 | 69 | 40 | 86 | 66 | 76 | 90 | 88 | 68 | 30 | 74 | 62 | 67 | 53 | 68 | 70 | 36 | 75 | 0 | 28 | 985,000$/2yrs | |||
TEAM AVERAGE | 95.45 | 71 | 44 | 84 | 72 | 83 | 88 | 86 | 71 | 54 | 74 | 70 | 77 | 66 | 71 | 74 | 54 | 75 | 0 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 32 | 100.00 | 80 | 83 | 79 | 85 | 79 | 78 | 80 | 79 | 78 | 80 | 79 | 65 | 73 | 57 | 75 | 0 | 24 | 890,000$/2yrs |
![]() | 29 | 100.00 | 96 | 93 | 89 | 97 | 95 | 94 | 96 | 95 | 94 | 96 | 95 | 70 | 78 | 76 | 75 | 0 | 25 | 4,000,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 88 | 88 | 84 | 91 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 68 | 76 | 67 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Derek Lalonde | 85 | 82 | 88 | 87 | 78 | 73 | 72 | USA | 52 | 3 | 1,500,000$ |
General Manager | Alex Héroux |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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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 |
# | 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 |
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Projected Total Cap Hit | 74,930,003$ |
Projected Cap Space | 13,069,997$ |
Retains And Buyout Cap Hit | -1,708,333$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 25 |
LTIR Players | 2 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Tuch | LW/RW | 28 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | |||||
Andrei Svechnikov ![]() | LW/RW | 24 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | RFA | ||
Brady Tkachuk ![]() | LW | 24 | 8,205,714$ | 8,205,714$ | 8,205,714$ | 8,205,714$ | 8,205,714$ | RFA | |||
Cayden Primeau | D/G | 24 | 890,000$ | 890,000$ | 890,000$ | ||||||
Darren Raddysh | D | 28 | 985,000$ | 985,000$ | 985,000$ | ||||||
Devon Toews ![]() | D | 30 | 6,875,000$ | 6,875,000$ | 6,875,000$ | 6,875,000$ | 6,875,000$ | 6,875,000$ | UFA | ||
Gustav Forsling ![]() | D | 28 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ |
Jake Oettinger | LW/G | 25 | 4,000,000$ | 4,000,000$ | |||||||
Johnathan Kovacevic | D | 27 | 775,000$ | 775,000$ | RFA | ||||||
Josh Brown ![]() | D | 30 | 1,150,000$ | 1,150,000$ | 1,150,000$ | 1,150,000$ | UFA | ||||
Mark Stone ![]() ![]() | RW | 32 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||||
Mason Marchment ![]() | C/LW/RW | 29 | 4,500,050$ | 4,500,050$ | 4,500,050$ | ||||||
Mattias Ekholm | D | 34 | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | |||||
Matty Beniers ![]() | C | 21 | 897,500$ | 897,500$ | |||||||
Maxim Tsyplakov ![]() | RW | 25 | 950,000$ | 950,000$ | RFA | ||||||
Nate Schmidt ![]() | D | 33 | 930,000$ | 930,000$ | UFA | ||||||
Pavel Zacha ![]() | C/LW | 27 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | |||||
Phillip Di Giuseppe | LW/RW | 30 | 835,000$ | 835,000$ | |||||||
Roope Hintz ![]() | C/LW | 27 | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | UFA |
Ryan Graves ![]() | D | 29 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||
Tomas Nosek ![]() | C/LW | 31 | 1,150,000$ | 1,150,000$ | |||||||
Travis Boyd ![]() | C/LW/RW | 30 | 1,260,000$ | 1,260,000$ | |||||||
Tyler Motte ![]() | C/LW/RW | 29 | 1,035,000$ | 1,035,000$ | |||||||
Valeri Nichushkin ![]() ![]() | LW/RW | 29 | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | UFA |
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Goalies | |||||||
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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 |
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Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
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Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | 0 |
Without Puck | 0 |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 0.0 | 9.57 |
2nd Period | 0.0 | 20.31 |
3rd Period | 0.0 | 30.68 |
Overtime | 0.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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Shots For | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
88,600,764$ | -1,708,333$ | 74,930,003$ | 13,069,997$ |
Arena | Goal Horn | About us | |
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![]() | Name | TD Garden | |
City | Boston | ||
Capacity | 17565 | ||
Season Ticket Holders | 65% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5060 | 1615 | 3700 | 1190 |
Ticket Price | 140$ | 110$ | 75$ | 45$ | 200$ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
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 |
41 | 0 - 0.00% | 0$ | 0$ | 17565 | 110 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
88,600,764$ | 88,600,764$ | 0$ | -1,708,333$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 399,158$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 192 | 469,275$ | 90,100,800$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
92,460,495$ | 74,930,003$ | 146,748,220$ | 54,287,725$ |
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 |
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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
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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Adam Kleber | 2024 | 47 | |||
Aidar Suniev | 2023 | 57 | |||
Albert Wikman | 2023 | 133 | |||
Alexander Rykov | 2023 | 131 | |||
Andrew Strathmann | 2023 | 84 | |||
Carey Terrance | 2023 | 69 | |||
Carter Sotheran | 2023 | 120 | |||
Christian Humphreys | 2024 | 112 | |||
Connor Kurth | 2022 | 137 | |||
Drew Fortescue | 2023 | 119 | |||
Hampton Slukynsky | 2024 | 118 | |||
Ian Moore | 2020 | 93 | |||
Jacob Julien | 2024 | 152 | |||
Jaden Lipinski | 2023 | 127 | |||
Kasper Pikkarainen | 2024 | 130 | |||
Kim Saarinen | 2024 | 98 | ELC 2024-25 | Link | |
Mac Swanson | 2024 | 134 | |||
Melvin Fernstrom | 2024 | 102 | |||
Michael Fisher | 2022 | 127 | |||
Ryder Ritchie | 2024 | 34 | |||
Samuel Rinzel | 2022 | 40 | |||
Stian Solberg | 2024 | 22 | ELC 2024-25 | Link | |
Tristan Bertucci | 2023 | 89 | ELC | Link | |
Ty Young | 2022 | 197 | ELC 2024-25 | Link | |
William Whitelaw | 2023 | 66 | |||
Yegor Zavragin | 2024 | 113 |
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