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Full Scoreboard »» |
New York Rangers 0-0-0, 0pts · 9th in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 99.00 | 64 | 32 | 77 | 82 | 70 | 89 | 88 | 73 | 75 | 79 | 74 | 58 | 74 | 58 | 56 | 0 | 68 | 83 | 19 | 950,000$/2yrs | |||
![]() | 0 | RW | 99.00 | 55 | 32 | 89 | 73 | 72 | 87 | 89 | 71 | 59 | 75 | 72 | 56 | 72 | 71 | 70 | 0 | 48 | 80 | 27 | 7,000,000$/5yrs | |||
![]() | 0 | C/LW | 100.00 | 62 | 34 | 87 | 74 | 70 | 88 | 89 | 70 | 59 | 75 | 69 | 69 | 69 | 63 | 61 | 0 | 65 | 80 | 22 | 894,167$/1yrs | |||
![]() | 0 | C | 100.00 | 64 | 32 | 86 | 73 | 66 | 84 | 89 | 70 | 77 | 73 | 74 | 60 | 72 | 60 | 58 | 0 | 52 | 80 | 20 | 950,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 74 | 35 | 83 | 65 | 77 | 81 | 83 | 68 | 60 | 69 | 69 | 58 | 68 | 87 | 86 | 0 | 59 | 79 | 36 | 7,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 32 | 91 | 70 | 74 | 81 | 81 | 67 | 58 | 70 | 70 | 56 | 69 | 64 | 63 | 0 | 66 | 78 | 23 | 863,333$/1yrs | |||
![]() | 0 | LW | 100.00 | 81 | 37 | 83 | 60 | 85 | 79 | 78 | 62 | 59 | 69 | 61 | 57 | 62 | 86 | 85 | 0 | 57 | 76 | 36 | 5,000,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 72 | 32 | 94 | 59 | 70 | 78 | 87 | 61 | 61 | 61 | 64 | 61 | 63 | 71 | 71 | 0 | 57 | 73 | 27 | 1,300,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 58 | 32 | 95 | 59 | 71 | 78 | 89 | 58 | 59 | 62 | 62 | 70 | 60 | 78 | 77 | 0 | 88 | 73 | 31 | 1,100,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 68 | 33 | 91 | 57 | 79 | 77 | 86 | 58 | 82 | 60 | 60 | 72 | 59 | 76 | 75 | 0 | 65 | 73 | 30 | 3,250,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 32 | 90 | 57 | 66 | 75 | 87 | 59 | 59 | 62 | 62 | 55 | 60 | 83 | 82 | 0 | 44 | 72 | 34 | 2,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 58 | 32 | 90 | 55 | 67 | 74 | 75 | 60 | 58 | 62 | 58 | 63 | 59 | 80 | 79 | 0 | 66 | 71 | 32 | 2,700,000$/2yrs | |||
![]() | 0 | D | 100.00 | 84 | 45 | 67 | 61 | 82 | 91 | 88 | 64 | 30 | 64 | 54 | 85 | 59 | 78 | 83 | 0 | 68 | 79 | 31 | 8,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 76 | 36 | 83 | 55 | 84 | 87 | 83 | 61 | 30 | 65 | 55 | 74 | 58 | 88 | 87 | 0 | 35 | 77 | 37 | 6,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 58 | 32 | 82 | 66 | 70 | 88 | 75 | 58 | 30 | 70 | 62 | 58 | 60 | 74 | 73 | 0 | 37 | 77 | 29 | 4,700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 33 | 99 | 60 | 79 | 79 | 65 | 61 | 30 | 68 | 50 | 63 | 55 | 77 | 77 | 0 | 50 | 75 | 31 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 33 | 87 | 61 | 75 | 85 | 73 | 59 | 30 | 68 | 55 | 58 | 57 | 82 | 80 | 0 | 63 | 75 | 33 | 5,250,000$/3yrs | |||
![]() | 0 | D | 100.00 | 62 | 34 | 82 | 60 | 70 | 83 | 81 | 57 | 30 | 64 | 58 | 68 | 58 | 68 | 66 | 0 | 55 | 74 | 25 | 2,250,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 60 | 33 | 83 | 64 | 82 | 85 | 75 | 62 | 81 | 66 | 63 | 67 | 62 | 80 | 79 | 0 | 19 | 75 | 32 | 7,800,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 32 | 93 | 63 | 67 | 77 | 86 | 58 | 73 | 63 | 60 | 58 | 59 | 63 | 62 | 0 | 19 | 71 | 22 | 1,200,000$/2yrs | |||
![]() | 0 | D | 100.00 | 79 | 33 | 92 | 55 | 84 | 84 | 90 | 57 | 30 | 62 | 59 | 70 | 58 | 64 | 63 | 0 | 20 | 74 | 23 | 2,250,000$/3yrs | |||
![]() | 0 | D | 100.00 | 76 | 47 | 74 | 55 | 89 | 82 | 85 | 56 | 30 | 58 | 52 | 73 | 54 | 73 | 71 | 0 | 20 | 73 | 28 | 1,750,000$/2yrs | |||
TEAM AVERAGE | 99.91 | 66 | 34 | 86 | 63 | 75 | 82 | 83 | 62 | 53 | 67 | 62 | 64 | 62 | 74 | 73 | 0 | 51 | 76 |
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 | 70 | 61 | 68 | 86 | 58 | 73 | 71 | 70 | 73 | 73 | 71 | 64 | 62 | 0 | 58 | 74 | 23 | 858,000$/2yrs |
![]() | 0 | 100.00 | 60 | 62 | 66 | 84 | 56 | 61 | 60 | 60 | 61 | 61 | 60 | 68 | 71 | 0 | 63 | 68 | 26 | 1,000,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 86 | 95 | 83 | 91 | 90 | 79 | 90 | 95 | 85 | 98 | 90 | 70 | 74 | 0 | 32 | 91 | 26 | 5,000,000$/9yrs |
TEAM AVERAGE | 100.00 | 72 | 73 | 72 | 87 | 68 | 71 | 74 | 75 | 73 | 77 | 74 | 67 | 69 | 0 | 51 | 78 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rod Brind'Amour | 69 | 90 | 87 | 77 | 74 | 90 | 94 | CAN | 52 | 5 | 1,000,000$ |
General Manager | Steven St-Onge |
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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 | 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 | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Rangers Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
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Anthony Beauvillier ![]() | LW | 27 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Braden Schneider ![]() | D | 23 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | |||||
Connor Bedard ![]() | C | 19 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Connor Brown ![]() | LW/RW | 31 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Conor Sheary ![]() | LW/RW | 32 | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | |||||
David Kampf ![]() | C/LW | 30 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | ||||
David Perron ![]() | LW/RW | 36 | 7,000,000$ | 7,000,000$ | UFA | ||||||
Erik Brannstrom ![]() | D | 25 | 2,250,000$ | 2,250,000$ | 2,250,000$ | ||||||
Evgeny Kuznetsov ![]() | C | 32 | 7,800,000$ | 7,800,000$ | UFA | ||||||
Jack Quinn ![]() | LW/RW | 23 | 863,333$ | 863,333$ | RFA | ||||||
Jacob Trouba ![]() | D | 31 | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||||
Jake Oettinger | G | 26 | 5,000,000$ | 5,000,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ |
Jeff Petry ![]() | D | 37 | 6,250,000$ | 6,250,000$ | UFA | ||||||
Jesper Vikman ![]() | G | 23 | 858,000$ | 858,000$ | 858,000$ | RFA | |||||
Jiri Patera ![]() | G | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Logan Cooley ![]() | C | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Lukas Reichel ![]() | C/LW | 22 | 1,200,000$ | 1,200,000$ | 1,200,000$ | RFA | |||||
Max Pacioretty ![]() | LW | 36 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Tomas Tatar ![]() | LW/RW | 34 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Tony DeAngelo ![]() | D | 29 | 4,700,000$ | 4,700,000$ | UFA | ||||||
Troy Terry ![]() | RW | 27 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||
Tucker Poolman ![]() | D | 31 | 775,000$ | 775,000$ | UFA | ||||||
Tyson Barrie ![]() | D | 33 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | ||||
Vincent Desharnais ![]() | D | 28 | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
William Eklund ![]() | C/LW | 22 | 894,167$ | 894,167$ | RFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Turcotte ![]() | C | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Artyom Levshunov ![]() | D | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Ben King ![]() | C | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Bobby Trivigno ![]() | LW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Bode Wilde ![]() | D | 25 | 0$ | ![]() | |||||||
Calle Sjalin ![]() | D | 25 | 0$ | ![]() | |||||||
Cedric Pare ![]() | C | 26 | 775,000$ | 775,000$ | ![]() | ||||||
David Gustafsson ![]() | C | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
David Reinbacher ![]() | D | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Denton Mateychuk ![]() | D | 20 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
Devin Cooley ![]() | G | 27 | 880,000$ | 880,000$ | UFA | ||||||
Dominik Bokk ![]() | LW/RW | 25 | 0$ | ![]() | |||||||
Eetu Liukas ![]() | LW | 22 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Jayden Grubbe ![]() | C | 22 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Joseph Blandisi ![]() | LW/RW | 30 | 775,000$ | 775,000$ | UFA | ||||||
Kevin Korchinski ![]() | D | 20 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
Kim Nousiainen ![]() | D | 24 | 859,167$ | 859,167$ | RFA | ||||||
Matthew Maggio ![]() | RW | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Matthew Savoie ![]() | C | 21 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
Max McCue ![]() | LW | 22 | 0$ | RFA | |||||||
Michael Joyaux ![]() | D | 28 | 0$ | UFA | |||||||
Milos Kelemen ![]() | LW/RW | 25 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Mitchell Russell ![]() | C/RW | 24 | 836,667$ | 836,667$ | RFA | ||||||
Nathan Burke ![]() | LW/RW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Nikolas Brouillard ![]() | D | 30 | 775,000$ | 775,000$ | UFA | ||||||
Nolan Lalonde ![]() | G | 21 | 798,333$ | 798,333$ | RFA | ||||||
Robert Bortuzzo ![]() | D | 36 | 775,000$ | 775,000$ | UFA | ||||||
Ryan Merkley ![]() | D | 24 | 0$ | RFA | |||||||
Ryder Rolston ![]() | C | 23 | 895,000$ | 895,000$ | 895,000$ | RFA | |||||
Steven Lorentz ![]() | C/LW | 29 | 775,000$ | 775,000$ | UFA | ||||||
Ville Petman ![]() | C/LW | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Wyatt Bongiovanni ![]() | C | 25 | 802,500$ | 802,500$ | ![]() | ||||||
Zach Uens ![]() | D | 23 | 859,167$ | 859,167$ | 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 |
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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 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
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Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
72,790,500$ | 0$ | 0$ | 15,209,500$ |
Arena | Goal Horn | About us | |
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![]() | Name | Madison Square Garden | |
City | New York | ||
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$ | 25$ | 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$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
72,790,500$ | 72,790,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 12 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 72,790,500$ | 92,843,102$ | 92,843,102$ |
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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 | Ronde 8 |
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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 |
---|---|---|---|---|---|
Anton Johannesson | 2020 | 73 | |||
Anton Olsson | 2021 | 49 | |||
Cole Beaudoin | 2024 | 23 | |||
Eamon Powell | 2020 | 88 | |||
Igor Chibrikov | 2020 | 212 | |||
Jake Fisher | 2024 | 147 | |||
Jeremias Lindewall | |||||
Joe Connor | 2024 | 208 | |||
Joey Muldowney | 2022 | 194 | |||
Lucas Feuk | 2019 | 133 | |||
Mathew Ward | 2022 | 112 | |||
Matteo Costantini | |||||
Patrick Geary | 2024 | 194 | |||
Ryan McCleary | 2021 | 208 | |||
Shane LaChance | 2021 | 204 | |||
Tanner Henricks | 2024 | 131 | |||
Tyson Jugnauth | 2022 | 115 | |||
William Von Barnekow | 2021 | 190 | |||
Yegor Serdyuk | 2019 | 179 |