|
Full Scoreboard »» |
|
Full Scoreboard »» |
Dallas Stars 0-0-0, 0pts · 16th 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 | C | 100.00 | 65 | 36 | 86 | 77 | 89 | 85 | 85 | 75 | 80 | 80 | 74 | 67 | 75 | 78 | 85 | 0 | 15 | 85 | 31 | 7,142,857$/4yrs | |||
![]() | 0 | RW | 100.00 | 73 | 35 | 77 | 71 | 76 | 82 | 84 | 74 | 59 | 74 | 76 | 63 | 75 | 80 | 77 | 0 | 17 | 82 | 32 | 5,000,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 66 | 33 | 82 | 78 | 82 | 81 | 79 | 73 | 76 | 75 | 74 | 66 | 73 | 59 | 57 | 0 | 34 | 82 | 20 | 925,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 73 | 32 | 89 | 67 | 72 | 79 | 85 | 67 | 82 | 72 | 66 | 85 | 67 | 74 | 72 | 0 | 20 | 81 | 28 | 2,200,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 80 | 39 | 83 | 76 | 74 | 79 | 84 | 69 | 59 | 69 | 69 | 73 | 69 | 66 | 65 | 0 | 16 | 81 | 24 | 1,300,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 34 | 91 | 65 | 72 | 79 | 89 | 66 | 59 | 68 | 67 | 79 | 67 | 77 | 76 | 0 | 19 | 80 | 30 | 2,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 75 | 39 | 80 | 60 | 89 | 80 | 90 | 65 | 82 | 67 | 66 | 85 | 65 | 75 | 73 | 0 | 16 | 80 | 29 | 2,500,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 87 | 31 | 97 | 62 | 62 | 76 | 69 | 63 | 74 | 65 | 69 | 75 | 66 | 83 | 82 | 0 | 17 | 79 | 34 | 3,400,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 87 | 34 | 81 | 65 | 86 | 75 | 84 | 71 | 58 | 68 | 73 | 67 | 72 | 73 | 71 | 0 | 19 | 79 | 28 | 1,400,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 37 | 83 | 68 | 63 | 71 | 76 | 68 | 42 | 70 | 72 | 69 | 71 | 74 | 72 | 0 | 16 | 78 | 30 | 2,200,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 78 | 46 | 64 | 68 | 83 | 79 | 83 | 66 | 61 | 69 | 68 | 63 | 67 | 65 | 62 | 0 | 19 | 77 | 24 | 2,037,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 56 | 63 | 66 | 74 | 78 | 70 | 66 | 74 | 64 | 70 | 66 | 68 | 77 | 74 | 0 | 21 | 76 | 31 | 2,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 82 | 35 | 79 | 61 | 80 | 83 | 88 | 67 | 30 | 69 | 58 | 83 | 63 | 74 | 72 | 0 | 16 | 82 | 29 | 975,000$/1yrs | |||
![]() | 0 | D | 100.00 | 74 | 33 | 80 | 58 | 83 | 85 | 67 | 69 | 30 | 67 | 50 | 88 | 59 | 79 | 77 | 0 | 16 | 82 | 32 | 2,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 35 | 90 | 70 | 76 | 86 | 85 | 67 | 30 | 78 | 65 | 66 | 66 | 78 | 76 | 0 | 19 | 81 | 31 | 5,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 74 | 37 | 84 | 55 | 88 | 85 | 90 | 64 | 30 | 63 | 57 | 81 | 60 | 86 | 85 | 0 | 18 | 79 | 36 | 3,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 32 | 99 | 64 | 73 | 83 | 71 | 61 | 30 | 68 | 62 | 63 | 62 | 72 | 72 | 0 | 20 | 76 | 28 | 2,500,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 72 | 33 | 89 | 64 | 81 | 82 | 73 | 66 | 30 | 68 | 65 | 78 | 65 | 76 | 75 | 0 | 26 | 81 | 30 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 33 | 92 | 56 | 78 | 80 | 76 | 58 | 30 | 62 | 61 | 66 | 59 | 69 | 68 | 0 | 11 | 73 | 26 | 1,500,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 73 | 36 | 84 | 66 | 78 | 80 | 80 | 67 | 53 | 69 | 66 | 73 | 67 | 74 | 73 | 0 | 19 | 80 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 78 | 84 | 76 | 87 | 81 | 77 | 83 | 90 | 81 | 91 | 83 | 70 | 74 | 0 | 17 | 86 | 26 | 2,750,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 70 | 63 | 68 | 80 | 68 | 75 | 71 | 70 | 75 | 74 | 72 | 64 | 67 | 0 | 20 | 75 | 22 | 825,333$/1yrs |
![]() | 0 | 100.00 | 60 | 62 | 66 | 88 | 57 | 57 | 60 | 60 | 60 | 57 | 60 | 83 | 86 | 0 | 11 | 69 | 35 | 10,500,000$/4yrs |
TEAM AVERAGE | 100.00 | 69 | 70 | 70 | 85 | 69 | 70 | 71 | 73 | 72 | 74 | 72 | 72 | 76 | 0 | 16 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rick Bowness | 79 | 87 | 90 | 83 | 82 | 74 | 87 | CAN | 54 | 2 | 1,000,000$ |
General Manager | Mathieu Cloutier |
---|
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 | 82,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 17 |
LTIR Players | 5 |
Stars Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Carey Price ![]() | G | 35 | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | UFA | |||
Erik Gustafsson | D | 31 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Hunter Jones ![]() ![]() | G | 22 | 825,333$ | 825,333$ | RFA | ||||||
Ilya Lyubushkin ![]() | D | 29 | 975,000$ | 975,000$ | UFA | ||||||
Jack Johnson | D | 36 | 3,250,000$ | 3,250,000$ | UFA | ||||||
John Moore | D | 32 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Kaapo Kahkonen ![]() ![]() | G | 26 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||||
Kevin Hayes | C | 31 | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | UFA | |||
Kyle Palmieri | RW | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Mason McTavish ![]() | C/LW | 20 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Matt Nieto | LW/RW | 30 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Max Comtois | C/LW | 24 | 2,037,000$ | 2,037,000$ | RFA | ||||||
Noah Gregor ![]() | C/LW | 24 | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||||
Paul Byron | C/LW/RW | 34 | 3,400,000$ | 3,400,000$ | UFA | ||||||
Radek Faksa ![]() | C | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Rocco Grimaldi | LW/RW | 30 | 2,200,000$ | 2,200,000$ | UFA | ||||||
Ryan Dzingel | LW/RW | 31 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Scott Harrington ![]() ![]() | D | 30 | 750,000$ | 750,000$ | UFA | ||||||
Teddy Blueger | C/LW | 28 | 2,200,000$ | 2,200,000$ | UFA | ||||||
Travis Dermott | D | 26 | 1,500,000$ | 1,500,000$ | |||||||
Will Butcher | D | 28 | 2,500,000$ | 2,500,000$ | UFA | ||||||
William Carrier | LW | 28 | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ness ![]() | D | 33 | 750,000$ | 750,000$ | UFA | ||||||
Akil Thomas ![]() | C | 22 | 795,000$ | 795,000$ | RFA | ||||||
Andre Lee ![]() | LW | 22 | 750,000$ | 750,000$ | RFA | ||||||
Brandon Fortunato ![]() | D | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Brandon Gignac ![]() | C | 25 | 750,000$ | 750,000$ | 750,000$ | ![]() | |||||
Cam Dineen ![]() ![]() | D | 24 | 800,000$ | 800,000$ | ![]() | ||||||
Cameron Hughes ![]() ![]() | C/LW | 26 | 762,500$ | 762,500$ | 762,500$ | ![]() | |||||
Cole Bardreau ![]() ![]() | C | 29 | 750,000$ | 750,000$ | UFA | ||||||
Colt Conrad ![]() | C | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Jake Lucchini ![]() ![]() | LW | 28 | 750,000$ | 750,000$ | UFA | ||||||
Jakub Lauko ![]() | C | 23 | 765,000$ | 765,000$ | RFA | ||||||
Jermaine Loewen ![]() | RW | 25 | 0$ | ![]() | |||||||
Joel Hanley ![]() ![]() | D | 31 | 900,000$ | 900,000$ | UFA | ||||||
Joel Kiviranta ![]() | LW/RW | 27 | 1,050,000$ | 1,050,000$ | ![]() | ||||||
Joona Koppanen ![]() | C | 25 | 0$ | ![]() | |||||||
Keith Kinkaid ![]() ![]() | G | 33 | 950,000$ | 950,000$ | UFA | ||||||
Linus Olund ![]() | C | 25 | 0$ | ![]() | |||||||
Logan Day ![]() | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Lukas Reichel ![]() ![]() | C/LW | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Mark Friedman ![]() ![]() | D | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Markus Nurmi ![]() ![]() | LW/RW | 24 | 842,500$ | 842,500$ | ![]() | ||||||
Matt Murphy ![]() | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Max Veronneau ![]() | RW | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Maxime Lagace ![]() | G | 30 | 750,000$ | 750,000$ | UFA | ||||||
Michael Carcone ![]() | C/LW | 27 | 0$ | ![]() | |||||||
Michal Kempny ![]() ![]() | D | 32 | 750,000$ | 750,000$ | UFA | ||||||
Nathan Walker ![]() ![]() | LW | 29 | 825,000$ | 825,000$ | 825,000$ | UFA | |||||
Nikita Alexandrov ![]() | C | 22 | 816,667$ | 816,667$ | 816,667$ | RFA | |||||
Reid Duke ![]() | C/RW | 27 | 0$ | ![]() | |||||||
Sam Miletic ![]() | LW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Scott Sabourin ![]() ![]() | RW | 30 | 750,000$ | 750,000$ | UFA | ||||||
Shane Wright ![]() | C | 19 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Simon Lundmark ![]() | D | 22 | 850,333$ | 850,333$ | 850,333$ | RFA | |||||
Zachary Sawchenko ![]() ![]() | G | 25 | 750,000$ | 750,000$ | ![]() |
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 |
63,905,190$ | 0$ | 0$ | 18,594,810$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | American Airlines Center | |
City | Dallas | ||
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 |
63,905,190$ | 63,905,190$ | 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$ | 2 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 63,905,190$ | 51,511,492$ | 51,511,492$ |
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 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 |
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 |
---|---|---|---|---|---|
Alexander Kisakov | 2021 | 48 | |||
Alexander Perevalov | 2022 | 37 | |||
Alexei Kosolov | 2021 | 51 | |||
Artem Grushnikov | 2021 | 75 | |||
Artyom Galimov | 2020 | 186 | |||
Chaz Lucius | 2021 | 13 | |||
Danil Savunov | 2019 | 191 | |||
Dmitry Voronkov | 2019 | 129 | |||
Domenick Fensore | 2019 | 95 | |||
Elias Salomonsson | 2022 | 45 | |||
Eric Ciccolini | 2019 | 214 | |||
Filip Cederqvist | 2019 | 160 | |||
Filip Johansson | 5.0 - 7.0 | ||||
Fraser Minten | 2022 | 68 | |||
Hugo Styf | 2020 | 142 | |||
Hunter McDonald | 2022 | 192 | |||
Isaac Belliveau | 2021 | 120 | |||
Jackson Edward | 2022 | 219 | |||
Jacob Olofsson | 5.5 - 7.5 | ||||
James Malatesta | 2021 | 95 | |||
Karl Henriksson | 2019 | 74 | 7.0 - 4.0 | ||
Kirill Kirsanov | 2021 | 56 | |||
Kyle Aucoin | |||||
Lian Bichsel | 2022 | 34 | |||
Linus Sjodin | 2022 | 224 | |||
Mathias Bau | |||||
Noah Ellis | 2020 | 173 | |||
Olivier Nadeau | 2021 | 98 | |||
Prohkor Poltapov | 2021 | 38 | |||
Ryan Mast | 2021 | 178 | |||
Thomas Milic | 2021 | 169 | |||
Topias Leinonen | 2022 | 70 | |||
Vsevolod Komarov | 2022 | 133 |