Full Scoreboard »» |
Columbus Blue Jackets 0-0-0, 0pts · 1st 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 9 | C | 100.00 | 59 | 35 | 91 | 85 | 82 | 90 | 87 | 80 | 84 | 86 | 81 | 78 | 81 | 74 | 73 | 0 | 90 | 90 | 28 | 10,000,000$/1yrs | |||
![]() | 13 | C/RW | 100.00 | 69 | 36 | 87 | 81 | 77 | 90 | 90 | 81 | 75 | 76 | 91 | 77 | 86 | 75 | 74 | 0 | 90 | 90 | 29 | 7,000,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 63 | 34 | 77 | 83 | 87 | 93 | 90 | 82 | 78 | 85 | 83 | 60 | 83 | 73 | 71 | 0 | 90 | 89 | 28 | 9,500,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 70 | 32 | 92 | 82 | 67 | 86 | 90 | 77 | 55 | 89 | 72 | 68 | 74 | 70 | 70 | 0 | 84 | 87 | 26 | 7,875,000$/6yrs | |||
![]() | 38 | C/LW | 100.00 | 79 | 33 | 86 | 71 | 81 | 88 | 78 | 71 | 88 | 68 | 77 | 83 | 74 | 79 | 88 | 0 | 80 | 84 | 32 | 3,750,000$/1yrs | |||
![]() | 91 | C/LW | 100.00 | 52 | 32 | 91 | 79 | 69 | 83 | 86 | 72 | 55 | 76 | 77 | 59 | 75 | 63 | 62 | 0 | 90 | 82 | 22 | 1,800,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 81 | 43 | 56 | 72 | 77 | 84 | 88 | 70 | 82 | 69 | 75 | 67 | 73 | 74 | 69 | 0 | 91 | 81 | 28 | 4,425,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 68 | 38 | 74 | 74 | 97 | 83 | 88 | 68 | 60 | 70 | 75 | 60 | 72 | 66 | 64 | 0 | 78 | 80 | 24 | ||||
![]() | 24 | RW | 100.00 | 85 | 73 | 50 | 66 | 84 | 79 | 90 | 63 | 59 | 62 | 69 | 77 | 66 | 72 | 67 | 0 | 91 | 77 | 28 | ||||
![]() | 0 | C/LW | 100.00 | 80 | 34 | 87 | 57 | 74 | 76 | 90 | 58 | 73 | 60 | 61 | 80 | 59 | 68 | 67 | 0 | 90 | 74 | 26 | 800,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 73 | 37 | 91 | 59 | 84 | 77 | 84 | 58 | 85 | 59 | 60 | 73 | 59 | 75 | 74 | 0 | 90 | 73 | 30 | ||||
![]() | 0 | C/LW/RW | 100.00 | 90 | 40 | 77 | 59 | 84 | 77 | 90 | 60 | 61 | 57 | 68 | 58 | 64 | 67 | 65 | 0 | 83 | 73 | 25 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 33 | 89 | 73 | 78 | 93 | 90 | 67 | 30 | 75 | 63 | 78 | 65 | 73 | 72 | 0 | 90 | 83 | 28 | 8,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 65 | 33 | 82 | 66 | 84 | 92 | 90 | 64 | 30 | 71 | 65 | 74 | 65 | 78 | 76 | 0 | 90 | 81 | 31 | 5,500,000$/3yrs | |||
![]() | 4 | D | 100.00 | 61 | 34 | 77 | 65 | 79 | 96 | 90 | 65 | 30 | 69 | 64 | 80 | 64 | 73 | 71 | 0 | 90 | 80 | 28 | 5,750,000$/6yrs | |||
![]() | 0 | D | 100.00 | 63 | 34 | 88 | 65 | 88 | 93 | 90 | 65 | 30 | 68 | 58 | 81 | 62 | 75 | 73 | 0 | 90 | 80 | 29 | 4,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 84 | 43 | 73 | 59 | 90 | 87 | 88 | 63 | 30 | 63 | 55 | 78 | 59 | 72 | 69 | 0 | 90 | 77 | 28 | 4,750,000$/3yrs | |||
![]() | 6 | D | 100.00 | 79 | 41 | 86 | 55 | 90 | 80 | 81 | 55 | 30 | 54 | 59 | 73 | 57 | 88 | 86 | 0 | 90 | 73 | 37 | ||||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 71 | 38 | 81 | 70 | 82 | 86 | 88 | 68 | 58 | 70 | 70 | 72 | 69 | 73 | 72 | 0 | 88 | 81 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 88 | 100.00 | 85 | 95 | 85 | 90 | 95 | 87 | 94 | 95 | 94 | 97 | 94 | 77 | 82 | 0 | 90 | 94 | 30 | 9,500,000$/3yrs |
![]() | 0 | 100.00 | 74 | 78 | 73 | 87 | 81 | 74 | 83 | 87 | 83 | 86 | 83 | 91 | 95 | 0 | 90 | 86 | 39 | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 80 | 87 | 79 | 89 | 88 | 81 | 89 | 91 | 89 | 92 | 89 | 84 | 89 | 0 | 90 | 90 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Derek Lalonde | 83 | 81 | 87 | 91 | 67 | 63 | 73 | USA | 50 | 4 | 1,000,000$ |
General Manager | Étienne Bourget |
---|
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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|
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 |
---|
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 | 16 |
LTIR Players | 0 |
Blue Jackets Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrei Vasilevskiy | G | 30 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||||
Boone Jenner ![]() | C/LW | 32 | 3,750,000$ | 3,750,000$ | UFA | ||||||
Brady Skjei ![]() | D | 31 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Dmitri Voronkov ![]() | LW | 24 | 0$ | RFA | |||||||
Erik Cernak ![]() | D | 28 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||||
Erik Johnson ![]() | D | 37 | 0$ | UFA | |||||||
Jack Eichel ![]() | C | 28 | 10,000,000$ | 10,000,000$ | UFA | ||||||
Jesper Bratt ![]() | LW/RW | 26 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | UFA | |
Jonathan Quick | G | 39 | 0$ | UFA | |||||||
Kent Johnson ![]() | C/LW | 22 | 1,800,000$ | 1,800,000$ | 1,800,000$ | RFA | |||||
Mathieu Olivier ![]() | RW | 28 | 0$ | UFA | |||||||
Mikko Rantanen ![]() | C/LW/RW | 28 | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||||
Nico Sturm ![]() | C/LW | 30 | 0$ | UFA | |||||||
Parker Kelly ![]() | C/LW | 26 | 800,000$ | 800,000$ | |||||||
Paul Cotter ![]() | C/LW/RW | 25 | 775,000$ | 775,000$ | |||||||
Rasmus Andersson ![]() | D | 28 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | |
Sam Bennett ![]() | C/LW/RW | 28 | 4,425,000$ | 4,425,000$ | UFA | ||||||
Sam Reinhart ![]() | C/RW | 29 | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||||
Thomas Chabot ![]() | D | 28 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||
Vladislav Gavrikov ![]() | D | 29 | 4,500,000$ | 4,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Petrovic ![]() | D | 33 | 800,000$ | 800,000$ | UFA | ||||||
Cade Webber ![]() | D | 24 | 875,000$ | 875,000$ | RFA | ||||||
Calle Rosen ![]() | D | 31 | 0$ | UFA | |||||||
Christian Fischer ![]() | C/LW/RW | 28 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Cole Koepke ![]() | LW/RW | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Colten Ellis ![]() | G | 24 | 800,000$ | 800,000$ | RFA | ||||||
Daniel Torgersson ![]() | LW/RW | 23 | 0$ | RFA | |||||||
Daniil Tarasov ![]() | G | 26 | 0$ | ![]() | |||||||
Dennis Gilbert ![]() | D | 28 | 0$ | UFA | |||||||
Dmitri Samorukov ![]() | D | 26 | 0$ | ![]() | |||||||
Emil Bemstrom ![]() | C/RW | 26 | 0$ | ![]() | |||||||
Eric Comrie ![]() | G | 29 | 825,000$ | 825,000$ | UFA | ||||||
Fabian Wagner ![]() | C | 21 | 858,333$ | 858,333$ | RFA | ||||||
Jack St. Ivany ![]() | D | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Jaroslav Chmelar ![]() | RW | 21 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Jere Innala ![]() | LW | 27 | 0$ | ![]() | |||||||
Joseph LaBate ![]() | LW/RW | 32 | 0$ | UFA | |||||||
Kevin Gravel ![]() | D | 33 | 800,000$ | 800,000$ | UFA | ||||||
Kirill Kudryavtsev ![]() | D | 21 | 850,000$ | 850,000$ | RFA | ||||||
Liam Foudy ![]() | C | 25 | 950,000$ | 950,000$ | ![]() | ||||||
Logan Brown ![]() | C | 27 | 0$ | ![]() | |||||||
Marshall Rifai ![]() | D | 27 | 0$ | ![]() | |||||||
Matej Pekar ![]() | LW | 25 | 0$ | ![]() | |||||||
Milo Roelens ![]() | C | 22 | 870,000$ | 870,000$ | RFA | ||||||
Nathan Walker ![]() | LW | 31 | 0$ | UFA | |||||||
Nick Blankenburg ![]() | D | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Noah Philp ![]() | C | 26 | 0$ | ![]() | |||||||
Reece Newkirk ![]() | C | 24 | 0$ | RFA | |||||||
Ryan Francis ![]() | C | 23 | 0$ | RFA | |||||||
Sandis Vilmanis ![]() | LW | 22 | 855,000$ | 855,000$ | 855,000$ | RFA | |||||
Shane Bowers ![]() | RW | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Sheldon Dries ![]() | C | 31 | 800,000$ | 800,000$ | UFA | ||||||
Ty Young ![]() | G | 20 | 0$ | RFA | |||||||
Tyler Tullio ![]() | RW | 23 | 0$ | RFA |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
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 |
---|---|
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 | |
---|---|
Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,750,000$ | 0$ | 0$ | 3,250,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Nationwide Arena | |
City | Columbus | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
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 | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
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 |
84,750,000$ | 84,750,000$ | 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$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 84,750,000$ | 61,943,515$ | 61,943,515$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
---|---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Aaron Huglen | 2019 | 101 | |||
Alex Bump | 2022 | 153 | |||
Alex Cotton | 2020 | 58 | |||
Alexis Gravel | 6.5 - 6.5 | ||||
Brennan Ali | 2022 | 207 | |||
Brock Gould | 2020 | 199 | |||
Charlie Desroches | 2020 | 156 | |||
Chase Cheslock | 2023 | 148 | |||
Dmitri Buchelnikov | 2022 | 67 | |||
Dominic Basse | 2019 | 178 | |||
Eemeli Rasanen | 3.0 - 3.0 | ||||
Ethan Hay | 2023 | 214 | |||
Frantisek Dej | 2023 | 223 | |||
Garrett Brown | 2022 | 111 | |||
Gunnarwolfe Fontaine | 2020 | 178 | |||
Jack Devine | 2022 | 163 | |||
Jacob Dion | 2020 | 133 | |||
Jacob Holmes | 2021 | 157 | |||
Jason Shaugabay | 2023 | 105 | |||
Kaden Pitre | 2024 | 184 | |||
Kienan Draper | |||||
Luke Devlin | 2022 | 191 | |||
Matthew Lahey | 2024 | 200 | |||
Matvei Gridin | 2024 | 29 | |||
Matvei Shuravin | 2024 | 53 | |||
Mike Koster | 2019 | 139 | |||
Nicholas Capone | |||||
Nikita Susuyev | 2023 | 180 | |||
Robert Orr | 2021 | 130 | |||
Ryan Healey | 2022 | 124 | |||
Sasha Mutala | 2019 | 146 | |||
Sean Tschigerl | 2021 | 142 | |||
Tyler Peddle | 2023 | 204 | |||
Viljami Marjala | 2021 | 156 |