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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C/RW | 100.00 | 63 | 34 | 87 | 82 | 71 | 89 | 88 | 79 | 85 | 77 | 83 | 61 | 82 | 83 | 74 | 0 | 78 | 32 | 7,923,200$/5yrs | |||||
![]() | C/LW/RW | 100.00 | 58 | 34 | 87 | 81 | 72 | 86 | 89 | 77 | 58 | 76 | 80 | 67 | 78 | 70 | 72 | 0 | 77 | 27 | 2,642,333$/3yrs | |||||
![]() | C/LW | 100.00 | 80 | 45 | 69 | 74 | 76 | 86 | 89 | 71 | 81 | 73 | 77 | 68 | 71 | 69 | 72 | 0 | 77 | 26 | 3,556,000$/4yrs | |||||
![]() | LW/RW | 100.00 | 85 | 48 | 78 | 64 | 77 | 83 | 87 | 65 | 61 | 67 | 64 | 77 | 63 | 85 | 76 | 0 | 74 | 37 | 3,684,000$/1yrs | |||||
![]() | C/LW | 100.00 | 85 | 48 | 83 | 68 | 81 | 82 | 85 | 69 | 74 | 62 | 70 | 73 | 69 | 65 | 67 | 0 | 74 | 26 | 1,376,000$/3yrs | |||||
![]() | C/LW | 100.00 | 71 | 39 | 83 | 69 | 81 | 82 | 87 | 73 | 80 | 71 | 66 | 68 | 73 | 63 | 64 | 0 | 73 | 22 | 4,846,556$/9yrs | |||||
![]() | LW/RW | 100.00 | 58 | 33 | 93 | 74 | 65 | 85 | 90 | 73 | 59 | 71 | 74 | 61 | 72 | 73 | 75 | 0 | 73 | 30 | 1,315,000$/2yrs | |||||
![]() | C/LW | 100.00 | 53 | 35 | 95 | 65 | 86 | 78 | 79 | 71 | 80 | 67 | 73 | 64 | 72 | 82 | 74 | 0 | 72 | 35 | 4,304,000$/1yrs | |||||
![]() | C/LW | 100.00 | 57 | 35 | 93 | 71 | 76 | 84 | 87 | 71 | 59 | 71 | 65 | 66 | 73 | 64 | 66 | 0 | 72 | 25 | 3,950,000$/1yrs | |||||
![]() | C/LW/RW | 100.00 | 76 | 38 | 84 | 63 | 74 | 79 | 86 | 62 | 73 | 66 | 61 | 70 | 63 | 73 | 71 | 0 | 71 | 30 | 1,637,000$/3yrs | |||||
![]() | C | 100.00 | 58 | 35 | 82 | 64 | 74 | 82 | 88 | 63 | 87 | 62 | 61 | 75 | 64 | 79 | 72 | 0 | 70 | 32 | 3,506,250$/1yrs | |||||
![]() | C/RW | 100.00 | 62 | 35 | 94 | 66 | 63 | 84 | 79 | 67 | 77 | 70 | 64 | 62 | 67 | 70 | 72 | 0 | 69 | 30 | 1,138,333$/3yrs | |||||
![]() | D | 100.00 | 68 | 34 | 89 | 85 | 70 | 94 | 95 | 79 | 30 | 92 | 82 | 76 | 63 | 64 | 69 | 0 | 82 | 24 | 7,975,694$/6yrs | |||||
![]() | D | 100.00 | 77 | 35 | 87 | 69 | 76 | 85 | 73 | 68 | 30 | 74 | 55 | 67 | 53 | 64 | 65 | 0 | 72 | 26 | 1,258,333$/3yrs | |||||
![]() | D | 100.00 | 61 | 35 | 89 | 65 | 77 | 81 | 88 | 63 | 30 | 66 | 62 | 76 | 52 | 74 | 70 | 0 | 71 | 31 | 864,500$/2yrs | |||||
![]() | D | 100.00 | 90 | 84 | 55 | 59 | 81 | 83 | 79 | 57 | 30 | 61 | 55 | 80 | 45 | 76 | 73 | 0 | 71 | 33 | 2,486,000$/2yrs | |||||
![]() | D | 100.00 | 64 | 37 | 93 | 69 | 83 | 84 | 80 | 68 | 30 | 67 | 59 | 66 | 52 | 65 | 66 | 0 | 71 | 27 | 2,540,800$/5yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | LW/RW | 100.00 | 90 | 83 | 63 | 67 | 82 | 86 | 84 | 68 | 59 | 67 | 73 | 82 | 59 | 64 | 68 | 0 | 77 | 26 | 817,500$/2yrs | |||||
![]() | LW/RW | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 7 | 23 | 750,000$/1yrs | |||||
![]() | D | 100.00 | 79 | 72 | 74 | 65 | 99 | 95 | 87 | 61 | 30 | 74 | 59 | 86 | 45 | 82 | 73 | 0 | 78 | 33 | 5,580,666$/3yrs | |||||
![]() | D | 100.00 | 73 | 35 | 89 | 64 | 81 | 80 | 78 | 62 | 30 | 67 | 59 | 66 | 50 | 72 | 74 | 0 | 70 | 33 | 1,187,000$/1yrs | |||||
TEAM AVERAGE | 100.00 | 67 | 42 | 79 | 66 | 74 | 80 | 81 | 65 | 54 | 67 | 64 | 67 | 60 | 68 | 67 | 0 | 70 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 94 | 92 | 91 | 75 | 93 | 92 | 94 | 93 | 92 | 94 | 93 | 76 | 85 | 0 | 91 | 31 | 6,260,500$/6yrs | |
![]() | 0 | 100.00 | 81 | 74 | 72 | 73 | 80 | 79 | 81 | 80 | 79 | 81 | 80 | 82 | 88 | 0 | 81 | 34 | 4,168,000$/2yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 88 | 83 | 82 | 74 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 79 | 87 | 0 | 86 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Pat Burns | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 70 | 4 | 0$ |
General Manager | Stéphane Carrier |
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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 |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG |
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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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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 |
![]() | |
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 | 23 |
Contracts | 48/50 |
LTIR Players | 0 |
Golden Knights Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Duclair ![]() | C/LW/RW | 27 | 2,642,333$ | 1,927,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Artem Anisimov ![]() | C/LW | 35 | 4,304,000$ | 4,304,000$ | UFA | ||||||
Austin Czarnik ![]() | C/RW | 30 | 1,138,333$ | 1,890,000$ | 762,500$ | 762,500$ | UFA | ||||
Blake Comeau ![]() | LW/RW | 37 | 3,684,000$ | 3,684,000$ | UFA | ||||||
Cale Makar ![]() | D | 24 | 7,975,694$ | 2,854,166$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | |
Cody Eakin ![]() | C | 32 | 3,506,250$ | 3,506,250$ | UFA | ||||||
Conor Sheary ![]() | LW/RW | 30 | 1,315,000$ | 1,130,000$ | 1,500,000$ | UFA | |||||
Jake Walman ![]() | D | 27 | 2,540,800$ | 1,454,000$ | 1,050,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | ||
Jakub Zboril ![]() | D | 26 | 1,258,333$ | 1,500,000$ | 1,137,500$ | 1,137,500$ | UFA | ||||
Janne Kuokkanen ![]() | C/LW | 25 | 3,950,000$ | 3,950,000$ | ![]() | ||||||
Jesperi Kotkaniemi ![]() | C/LW | 22 | 4,846,556$ | 5,059,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ |
Jonathan Bernier ![]() | G | 34 | 4,168,000$ | 4,211,000$ | 4,125,000$ | UFA | |||||
Jordan Martinook ![]() | C/LW/RW | 30 | 1,637,000$ | 1,311,000$ | 1,800,000$ | 1,800,000$ | UFA | ||||
Kirill Maksimov ![]() | LW/RW | 23 | 750,000$ | 750,000$ | ![]() | ||||||
Mark Borowiecki ![]() | D | 33 | 2,486,000$ | 4,072,000$ | 900,000$ | UFA | |||||
Mark Pysyk ![]() | D | 31 | 864,500$ | 879,000$ | 850,000$ | UFA | |||||
Matt Duchene ![]() | C/RW | 32 | 7,923,200$ | 7,616,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||
Matt Tennyson ![]() | D | 33 | 1,187,000$ | 1,187,000$ | UFA | ||||||
Philipp Grubauer ![]() | G | 31 | 6,260,500$ | 8,063,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | UFA | |
Sam Bennett ![]() | C/LW | 26 | 3,556,000$ | 949,000$ | 4,425,000$ | 4,425,000$ | 4,425,000$ | UFA | |||
Tanner Jeannot ![]() | LW/RW | 26 | 817,500$ | 835,000$ | 800,000$ | UFA | |||||
Tyler Myers ![]() | D | 33 | 5,580,666$ | 4,742,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Yakov Trenin ![]() | C/LW | 26 | 1,376,000$ | 728,000$ | 1,700,000$ | 1,700,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Johnson ![]() | C/LW | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Alexander Alexeyev ![]() | D | 23 | 878,750$ | 894,167$ | 863,333$ | ![]() | |||||
Antti Suomela ![]() | C | 29 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Cameron Hebig ![]() | RW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Connor Dewar ![]() | C | 23 | 841,667$ | 925,000$ | 800,000$ | 800,000$ | ![]() | ||||
David Tendeck ![]() | G | 23 | 783,333$ | 783,333$ | 783,333$ | ![]() | |||||
Ian Scott ![]() | G | 24 | 910,833$ | 910,833$ | ![]() | ||||||
Isaac Ratcliffe ![]() | LW | 24 | 838,542$ | 863,333$ | 813,750$ | ![]() | |||||
Ivan Prosvetov ![]() | G | 24 | 837,500$ | 925,000$ | 750,000$ | ![]() | |||||
Jakub Pour ![]() | RW | 24 | 750,000$ | 750,000$ | ![]() | ||||||
Jermaine Loewen ![]() | RW | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Jiri Patera ![]() | G | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Joel Kellman ![]() | C | 29 | 850,000$ | 850,000$ | UFA | ||||||
Joey Keane ![]() | D | 23 | 925,000$ | 925,000$ | RFA | ||||||
John Ludvig ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Josh Jacobs ![]() | D | 27 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Josiah Slavin ![]() | LW | 24 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Mac Hollowell ![]() | D | 24 | 774,883$ | 799,766$ | 750,000$ | ![]() | |||||
Matthew Villalta ![]() | G | 23 | 1,006,250$ | 1,225,000$ | 787,500$ | ![]() | |||||
Max Comtois ![]() | LW | 24 | 1,481,250$ | 925,000$ | 2,037,500$ | ![]() | |||||
Michael Kesselring ![]() | D | 23 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | ![]() | ||||
Paul Thompson ![]() | RW | 34 | 750,000$ | 750,000$ | UFA | ||||||
Ryan Fitzgerald ![]() | C/LW | 28 | 750,000$ | 750,000$ | UFA | ||||||
Simon Benoit ![]() | D | 24 | 807,500$ | 865,000$ | 750,000$ | ![]() | |||||
Will Cuylle ![]() | LW | 21 | 902,500$ | 902,500$ | 902,500$ | 902,500$ | RFA |
Forward Lines | |||||||
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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 | |
---|---|
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 |
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
66,601,416$ | 0$ | 0$ | 82,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | T-Mobile Arena | |
City | Las Vegas | ||
Capacity | 17000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 5000 | 4000 | 3000 | 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$ | 17000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
66,601,416$ | 73,767,665$ | 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$ | 7 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 5,302,036$ | 5,302,036$ |
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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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 |
---|---|---|---|---|---|
Aku Koskenvuo | ![]() | 2022 | 107 | ||
Alex Cotton | ![]() | 2021 | 111 | ||
Alex Jefferies | ![]() | 2021 | 107 | ||
Andrei Buyalsky | ![]() | 2022 | 139 | ||
Anton Johannesson | ![]() | 2021 | 113 | ||
Axel Bergkvist | ![]() | 2020 | 138 | ||
Egor Serdyuk | ![]() | 2020 | 116 | ||
Fedor Svechkov | ![]() | 2022 | 37 | ||
Hendrik Lapierre | ![]() | 2021 | 18 | ||
Jachym Kondelik | ![]() | 2019 | 144 | ||
Jacob Melanson | ![]() | 2022 | 98 | ||
Jakub Brabanec | ![]() | 2022 | 75 | ||
Jesper Wallstedt | ![]() | 2022 | 11 | ||
Leo Loof | ![]() | 2021 | 80 | ||
Liam Gilmartin | ![]() | 2022 | 192 | ||
Lukas Svejkovsky | ![]() | 2021 | 142 | ||
Matvey Guskov | ![]() | 2020 | 181 | ||
Philip Svedeback | ![]() | 2022 | 85 | ||
Riley Hugues | ![]() | 2019 | 148 | ||
Ryder Korczak | ![]() | 2022 | 43 | ||
Ryker Evans | ![]() | 2022 | 47 | ||
Sam Hentges | ![]() | 2019 | 206 | ||
Santeri Virtanen | ![]() | 2018 | 127 | ||
Will Francis | ![]() | 2020 | 177 | ||
Zach Fischer | ![]() | 2018 | 157 |
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 |
---|---|---|---|---|---|
Aku Koskenvuo | ![]() | 2022 | 107 | ||
Alex Cotton | ![]() | 2021 | 111 | ||
Alex Jefferies | ![]() | 2021 | 107 | ||
Andrei Buyalsky | ![]() | 2022 | 139 | ||
Anton Johannesson | ![]() | 2021 | 113 | ||
Axel Bergkvist | ![]() | 2020 | 138 | ||
Egor Serdyuk | ![]() | 2020 | 116 | ||
Fedor Svechkov | ![]() | 2022 | 37 | ||
Hendrik Lapierre | ![]() | 2021 | 18 | ||
Jachym Kondelik | ![]() | 2019 | 144 | ||
Jacob Melanson | ![]() | 2022 | 98 | ||
Jakub Brabanec | ![]() | 2022 | 75 | ||
Jesper Wallstedt | ![]() | 2022 | 11 | ||
Leo Loof | ![]() | 2021 | 80 | ||
Liam Gilmartin | ![]() | 2022 | 192 | ||
Lukas Svejkovsky | ![]() | 2021 | 142 | ||
Matvey Guskov | ![]() | 2020 | 181 | ||
Philip Svedeback | ![]() | 2022 | 85 | ||
Riley Hugues | ![]() | 2019 | 148 | ||
Ryder Korczak | ![]() | 2022 | 43 | ||
Ryker Evans | ![]() | 2022 | 47 | ||
Sam Hentges | ![]() | 2019 | 206 | ||
Santeri Virtanen | ![]() | 2018 | 127 | ||
Will Francis | ![]() | 2020 | 177 | ||
Zach Fischer | ![]() | 2018 | 157 |