|
|
|
|
Full Scoreboard »» |
|
|
|
|
Full Scoreboard »» |
Chicago Blackhawks 0-0-0, 0pts · 10th in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 76 | 33 | 93 | 75 | 81 | 83 | 89 | 69 | 59 | 69 | 75 | 64 | 72 | 69 | 68 | 0 | 63 | 81 | 26 | 5,000,000$/6yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 60 | 34 | 89 | 70 | 74 | 84 | 85 | 67 | 75 | 70 | 68 | 64 | 68 | 68 | 67 | 0 | 40 | 78 | 25 | 2,250,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 72 | 34 | 78 | 64 | 73 | 82 | 88 | 63 | 84 | 63 | 67 | 74 | 65 | 83 | 80 | 0 | 40 | 77 | 34 | 3,150,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 58 | 33 | 93 | 67 | 79 | 80 | 87 | 65 | 76 | 67 | 69 | 57 | 67 | 72 | 71 | 0 | 67 | 76 | 28 | 4,000,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 32 | 84 | 65 | 70 | 82 | 78 | 64 | 59 | 66 | 71 | 56 | 68 | 79 | 77 | 0 | 40 | 76 | 32 | 4,500,000$/5yrs | |||
![]() | 0 | C/RW | 100.00 | 75 | 36 | 90 | 61 | 80 | 77 | 89 | 60 | 78 | 62 | 63 | 64 | 62 | 67 | 66 | 0 | 47 | 73 | 25 | 1,400,000$/1yrs | |||
![]() | 0 | C | 100.00 | 60 | 41 | 90 | 64 | 63 | 77 | 69 | 61 | 76 | 61 | 64 | 63 | 63 | 68 | 67 | 0 | 30 | 73 | 26 | 950,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 65 | 35 | 83 | 57 | 79 | 73 | 86 | 58 | 58 | 60 | 64 | 58 | 61 | 85 | 83 | 0 | 28 | 72 | 35 | 1,250,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 73 | 33 | 92 | 61 | 82 | 75 | 74 | 58 | 60 | 58 | 62 | 66 | 60 | 70 | 69 | 0 | 67 | 72 | 26 | 850,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 65 | 32 | 93 | 55 | 70 | 72 | 81 | 56 | 81 | 59 | 57 | 68 | 56 | 90 | 89 | 0 | 63 | 71 | 38 | 1,450,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 84 | 40 | 81 | 55 | 84 | 73 | 83 | 58 | 60 | 59 | 59 | 63 | 58 | 70 | 69 | 0 | 35 | 71 | 27 | 1,350,000$/1yrs | |||
![]() | 0 | C | 100.00 | 80 | 44 | 76 | 57 | 76 | 75 | 75 | 57 | 75 | 57 | 59 | 67 | 58 | 68 | 65 | 0 | 63 | 71 | 25 | 850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 70 | 36 | 83 | 63 | 84 | 90 | 83 | 64 | 30 | 68 | 52 | 78 | 58 | 77 | 75 | 0 | 56 | 79 | 30 | 5,750,000$/5yrs | |||
![]() | 0 | D | 100.00 | 85 | 44 | 68 | 58 | 87 | 86 | 84 | 61 | 30 | 66 | 59 | 76 | 60 | 82 | 79 | 0 | 36 | 78 | 33 | 4,800,000$/3yrs | |||
![]() | 0 | D | 100.00 | 67 | 33 | 81 | 55 | 82 | 87 | 84 | 60 | 30 | 62 | 58 | 76 | 59 | 84 | 82 | 0 | 20 | 76 | 34 | 2,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 33 | 95 | 55 | 80 | 89 | 88 | 59 | 30 | 64 | 54 | 72 | 56 | 83 | 83 | 0 | 30 | 76 | 34 | 4,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 33 | 79 | 58 | 83 | 84 | 71 | 57 | 30 | 62 | 54 | 69 | 56 | 64 | 62 | 0 | 54 | 73 | 23 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 32 | 95 | 55 | 73 | 82 | 74 | 52 | 30 | 60 | 59 | 64 | 55 | 80 | 79 | 0 | 17 | 72 | 32 | 800,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 67 | 32 | 87 | 61 | 75 | 86 | 70 | 58 | 30 | 66 | 58 | 70 | 58 | 64 | 62 | 0 | 19 | 75 | 23 | 894,167$/1yrs | |||
TEAM AVERAGE | 100.00 | 70 | 35 | 86 | 61 | 78 | 81 | 81 | 60 | 55 | 63 | 62 | 67 | 61 | 75 | 73 | 0 | 43 | 75 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 77 | 74 | 71 | 96 | 84 | 77 | 83 | 86 | 84 | 86 | 83 | 85 | 89 | 0 | 45 | 86 | 35 | 5,500,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 32 | 99.00 | 77 | 85 | 76 | 64 | 85 | 79 | 86 | 90 | 86 | 90 | 86 | 66 | 70 | 0 | 54 | 85 | 24 | 950,000$/1yrs |
![]() | 0 | 100.00 | 66 | 66 | 64 | 75 | 62 | 72 | 65 | 66 | 72 | 73 | 67 | 58 | 58 | 0 | 18 | 72 | 21 | 795,556$/2yrs |
TEAM AVERAGE | 99.67 | 73 | 75 | 70 | 78 | 77 | 76 | 78 | 81 | 81 | 83 | 79 | 70 | 72 | 0 | 39 | 81 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rick Tocchet | 89 | 84 | 83 | 82 | 76 | 79 | 61 | CAN | 60 | 5 | 1,000,000$ |
General Manager | Yan Turgeon |
---|
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 | 22 |
LTIR Players | 0 |
Blackhawks Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Pelech ![]() | D | 30 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | ||
Anson Thornton ![]() | G | 21 | 795,556$ | 795,556$ | 795,556$ | RFA | |||||
Boris Katchouk ![]() | LW | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Cole Guttman ![]() | C | 26 | 950,000$ | 950,000$ | |||||||
Craig Smith ![]() | RW | 35 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Derek Ryan ![]() | C/LW/RW | 38 | 1,450,000$ | 1,450,000$ | UFA | ||||||
Dustin Wolf ![]() | G | 24 | 950,000$ | 950,000$ | RFA | ||||||
Erik Haula ![]() | C/LW/RW | 34 | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | |||||
Frederik Andersen | G | 35 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Isaak Phillips ![]() | D | 23 | 950,000$ | 950,000$ | RFA | ||||||
Jack Roslovic ![]() | C/RW | 28 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Jan Rutta ![]() | D | 34 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Joe Veleno ![]() | C/RW | 25 | 1,400,000$ | 1,400,000$ | |||||||
Jordan Oesterle ![]() | D | 32 | 800,000$ | 800,000$ | UFA | ||||||
Josh Manson ![]() | D | 33 | 4,800,000$ | 4,800,000$ | 4,800,000$ | 4,800,000$ | UFA | ||||
MacKenzie Entwistle ![]() | C | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
Nathan Bastian ![]() | RW | 27 | 1,350,000$ | 1,350,000$ | |||||||
Nick Jensen ![]() | D | 34 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Owen Tippett ![]() | LW/RW | 26 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |
Philipp Kurashev ![]() | C/LW/RW | 25 | 2,250,000$ | 2,250,000$ | |||||||
Shakir Mukhamadullin ![]() | D | 23 | 894,167$ | 894,167$ | RFA | ||||||
Viktor Arvidsson ![]() | LW/RW | 32 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Bradly Nadeau ![]() | LW | 19 | 775,000$ | 775,000$ | RFA | ||||||
Brett Seney ![]() | C/LW | 29 | 775,000$ | 775,000$ | UFA | ||||||
Cameron Hillis ![]() | C | 24 | 775,000$ | 775,000$ | ![]() | ||||||
Chad Yetman ![]() | RW | 25 | 0$ | ![]() | |||||||
Cole Reinhardt ![]() | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Connor Corcoran ![]() | D | 24 | 775,000$ | 775,000$ | RFA | ||||||
Dryden McKay ![]() | G | 27 | 850,000$ | 850,000$ | ![]() | ||||||
Filip Roos ![]() | D | 26 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Greg Printz ![]() | LW | 26 | 0$ | ![]() | |||||||
Jake Livingstone ![]() | D | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Jakub Galvas ![]() | D | 25 | 875,000$ | 875,000$ | 875,000$ | ![]() | |||||
Jalen Luypen ![]() | C | 22 | 859,167$ | 859,167$ | RFA | ||||||
Jaxson Stauber ![]() | G | 26 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Jaycob Megna ![]() | D | 32 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Jeremy Brodeur ![]() | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
Jesse Puljujarvi ![]() | RW | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Johan Sodergran ![]() | RW | 25 | 975,000$ | 975,000$ | ![]() | ||||||
Louis Crevier ![]() | D | 23 | 950,000$ | 950,000$ | RFA | ||||||
Markus Phillips ![]() | D | 26 | 0$ | ![]() | |||||||
Nolan Patrick ![]() | C | 26 | 0$ | ![]() | |||||||
Oscar Dansk ![]() | G | 31 | 800,000$ | 800,000$ | UFA | ||||||
Patrick Guay ![]() | C/LW | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Riley Stillman ![]() | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Robert Hagg ![]() | D | 30 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Ronan Seeley ![]() | D | 22 | 810,000$ | 810,000$ | RFA | ||||||
Sam Carrick ![]() | C/RW | 33 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | ||||
Samuel Savoie ![]() | LW | 21 | 878,333$ | 878,333$ | 878,333$ | RFA | |||||
Tanner Dickinson ![]() | C | 23 | 826,667$ | 826,667$ | RFA | ||||||
Taylor Ward ![]() | RW | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Victor Lodin ![]() | C/LW | 25 | 800,000$ | 800,000$ | ![]() | ||||||
William Wallinder ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Wyatt Kaiser ![]() | D | 22 | 916,667$ | 916,667$ | 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 |
53,439,723$ | 0$ | 0$ | 34,560,277$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | United Center | |
City | Chicago | ||
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 |
53,439,723$ | 53,439,723$ | 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$ | 12 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 53,439,723$ | 84,148,630$ | 84,148,630$ |
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 |
---|---|---|---|---|---|
Aidan Thompson | 2022 | 105 | |||
Alexis Bernier | 2024 | 88 | |||
Angus Macdonnell | 2023 | 192 | |||
Bard Gardiner | 2023 | 99 | |||
Cedric Guindon | 2022 | 107 | |||
Charlie Leddy | 2022 | 146 | |||
Cole O'Hara | 2022 | 125 | |||
Cole Spicer | 2022 | 120 | |||
Connor Kurth | 2022 | 183 | |||
Hampton Slukynsky | 2023 | 94 | |||
Jacob Fowler | 2023 | 51 | |||
Jake Ryczek | |||||
Juha Jatkola | 2023 | 95 | |||
Matthew Perkins | 2023 | 137 | |||
Nathaniel Day | 2023 | 190 | |||
Nikita Ishimnikov | 2023 | 172 | |||
Riku Tohila | 2022 | 216 | |||
Trevor Connelly | 2024 | 15 | |||
Zach Nehring | 2023 | 103 | |||
Zakhar Bardakov | 2021 | 218 |