

































Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | RW | 100.00 | 63 | 38 | 93 | 84 | 66 | 92 | 94 | 89 | 55 | 92 | 77 | 63 | 91 | 89 | 79 | 0 | 81 | 34 | 9,524,500$/2yrs | |||||
![]() | C | 100.00 | 67 | 36 | 93 | 82 | 85 | 92 | 86 | 81 | 84 | 86 | 82 | 64 | 80 | 75 | 77 | 0 | 81 | 30 | 6,693,666$/3yrs | |||||
![]() | LW/RW | 100.00 | 63 | 34 | 91 | 78 | 71 | 90 | 89 | 75 | 56 | 79 | 81 | 65 | 76 | 73 | 74 | 0 | 78 | 31 | 5,349,714$/7yrs | |||||
![]() | LW/RW | 100.00 | 55 | 34 | 94 | 75 | 71 | 90 | 93 | 72 | 63 | 75 | 73 | 90 | 72 | 71 | 69 | 0 | 78 | 29 | 3,631,500$/2yrs | |||||
![]() | LW/RW | 100.00 | 64 | 37 | 91 | 79 | 70 | 88 | 90 | 76 | 60 | 77 | 78 | 63 | 79 | 69 | 68 | 0 | 76 | 28 | 4,507,600$/5yrs | |||||
![]() | C | 100.00 | 55 | 37 | 88 | 74 | 83 | 87 | 89 | 76 | 84 | 73 | 75 | 65 | 77 | 66 | 67 | 0 | 75 | 26 | 4,510,000$/7yrs | |||||
![]() | C/LW/RW | 100.00 | 58 | 34 | 92 | 74 | 70 | 87 | 88 | 73 | 82 | 72 | 70 | 74 | 73 | 76 | 72 | 0 | 75 | 31 | 2,175,000$/5yrs | |||||
![]() | C/LW | 100.00 | 87 | 32 | 94 | 76 | 63 | 82 | 78 | 67 | 70 | 66 | 65 | 76 | 68 | 77 | 75 | 0 | 74 | 34 | 4,300,000$/2yrs | |||||
![]() | RW | 100.00 | 74 | 36 | 82 | 65 | 86 | 87 | 73 | 66 | 54 | 67 | 70 | 63 | 72 | 83 | 76 | 0 | 73 | 35 | 3,375,000$/1yrs | |||||
![]() | C/LW | 100.00 | 70 | 38 | 91 | 62 | 84 | 82 | 93 | 64 | 80 | 65 | 63 | 79 | 61 | 76 | 73 | 0 | 73 | 31 | 4,275,000$/1yrs | |||||
![]() | LW | 100.00 | 74 | 36 | 93 | 65 | 81 | 82 | 86 | 63 | 59 | 66 | 64 | 73 | 63 | 67 | 69 | 0 | 72 | 27 | 1,429,667$/3yrs | |||||
![]() | RW | 100.00 | 90 | 87 | 71 | 64 | 86 | 79 | 83 | 62 | 59 | 66 | 63 | 56 | 61 | 77 | 72 | 0 | 71 | 32 | 3,080,000$/3yrs | |||||
![]() | D | 100.00 | 76 | 39 | 91 | 77 | 89 | 94 | 92 | 75 | 30 | 82 | 64 | 87 | 59 | 75 | 78 | 0 | 82 | 28 | 8,969,444$/9yrs | |||||
![]() | D | 100.00 | 72 | 36 | 78 | 73 | 80 | 92 | 87 | 72 | 30 | 78 | 61 | 76 | 54 | 81 | 72 | 0 | 77 | 31 | 7,810,000$/6yrs | |||||
![]() | D | 100.00 | 89 | 75 | 72 | 63 | 90 | 89 | 92 | 59 | 30 | 75 | 57 | 78 | 52 | 80 | 73 | 0 | 76 | 32 | 4,116,333$/3yrs | |||||
![]() | D | 100.00 | 82 | 36 | 88 | 65 | 79 | 91 | 93 | 63 | 30 | 72 | 59 | 86 | 52 | 73 | 72 | 0 | 76 | 31 | 4,166,667$/3yrs | |||||
![]() | D | 100.00 | 73 | 39 | 83 | 66 | 78 | 89 | 90 | 63 | 30 | 71 | 59 | 80 | 53 | 82 | 73 | 0 | 74 | 32 | 1,703,000$/2yrs | |||||
![]() | D | 100.00 | 73 | 37 | 92 | 63 | 71 | 83 | 72 | 61 | 30 | 66 | 57 | 68 | 50 | 75 | 76 | 0 | 69 | 34 | 750,000$/1yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | C | 100.00 | 70 | 39 | 92 | 63 | 80 | 79 | 83 | 62 | 80 | 66 | 63 | 79 | 66 | 65 | 67 | 0 | 72 | 25 | 2,960,500$/2yrs | |||||
![]() | D | 100.00 | 65 | 39 | 85 | 69 | 74 | 83 | 77 | 66 | 30 | 74 | 57 | 60 | 53 | 69 | 70 | 0 | 70 | 29 | 822,500$/2yrs | |||||
![]() | D | 100.00 | 63 | 39 | 86 | 57 | 79 | 77 | 73 | 61 | 30 | 56 | 53 | 59 | 45 | 61 | 64 | 0 | 64 | 23 | 903,775$/2yrs | |||||
TEAM AVERAGE | 100.00 | 71 | 41 | 88 | 70 | 78 | 86 | 86 | 69 | 54 | 73 | 66 | 72 | 65 | 74 | 72 | 0 | 75 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 80 | 100.00 | 83 | 82 | 79 | 86 | 82 | 81 | 83 | 82 | 81 | 83 | 82 | 64 | 73 | 0 | 82 | 25 | 1,521,875$/4yrs | |
![]() | 60 | 100.00 | 74 | 75 | 77 | 82 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 68 | 81 | 0 | 76 | 28 | 1,069,500$/2yrs | |
Scratches | ||||||||||||||||||||
![]() | 31 | 100.00 | 68 | 65 | 66 | 84 | 67 | 66 | 68 | 67 | 66 | 68 | 67 | 63 | 67 | 0 | 70 | 22 | 850,000$/2yrs | |
TEAM AVERAGE | 100.00 | 75 | 74 | 74 | 84 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 65 | 74 | 0 | 76 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Vincent Damphousse | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 55 | 5 | 0$ |
General Manager | Mario Lemire |
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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 |
---|
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 | 24 |
Contracts | 51/50 |
LTIR Players | 0 |
Panthers Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Bode Wilde ![]() | D | 23 | 903,775$ | 910,883$ | 896,667$ | ![]() | |||||
Brenden Dillon ![]() | D | 32 | 4,116,333$ | 4,549,000$ | 3,900,000$ | 3,900,000$ | UFA | ||||
Brett Howden ![]() | C | 25 | 2,960,500$ | 4,421,000$ | 1,500,000$ | ![]() | |||||
Bryan Rust ![]() | LW/RW | 31 | 5,349,714$ | 6,698,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | UFA |
Calle Jarnkrok ![]() | C/LW/RW | 31 | 2,175,000$ | 2,475,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | UFA | ||
Collin Delia ![]() | G | 28 | 1,069,500$ | 1,389,000$ | 750,000$ | UFA | |||||
Connor Brown ![]() | LW/RW | 29 | 3,631,500$ | 3,663,000$ | 3,600,000$ | UFA | |||||
Dan Vladar ![]() | G | 25 | 1,521,875$ | 937,500$ | 750,000$ | 2,200,000$ | 2,200,000$ | UFA | |||
Derrick Pouliot ![]() | D | 29 | 822,500$ | 895,000$ | 750,000$ | UFA | |||||
Dmitry Kulikov ![]() | D | 32 | 1,703,000$ | 1,156,000$ | 2,250,000$ | UFA | |||||
Dylan Strome ![]() | C | 26 | 4,510,000$ | 3,070,000$ | 3,500,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA |
Eric Robinson ![]() | LW | 27 | 1,429,667$ | 1,089,000$ | 1,600,000$ | 1,600,000$ | UFA | ||||
Jacob Ingham ![]() | G | 22 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
James Neal ![]() | RW | 35 | 3,375,000$ | 3,375,000$ | UFA | ||||||
Mark Scheifele ![]() | C | 30 | 6,693,666$ | 7,831,000$ | 6,125,000$ | 6,125,000$ | UFA | ||||
Nikita Zaitsev ![]() | D | 31 | 4,166,667$ | 3,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||
Oliver Bjorkstrand ![]() | LW/RW | 28 | 4,507,600$ | 938,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | UFA | ||
Oliver Ekman-Larsson ![]() | D | 31 | 7,810,000$ | 5,610,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | UFA | |
Patrick Kane ![]() | RW | 34 | 9,524,500$ | 8,549,000$ | 10,500,000$ | UFA | |||||
Paul Byron ![]() | C/LW | 34 | 4,300,000$ | 5,200,000$ | 3,400,000$ | UFA | |||||
Riley Sheahan ![]() | C/LW | 31 | 4,275,000$ | 4,275,000$ | UFA | ||||||
Seth Jones ![]() | D | 28 | 8,969,444$ | 4,725,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ |
Thomas Hickey ![]() | D | 34 | 750,000$ | 750,000$ | UFA | ||||||
Zack Kassian ![]() | RW | 32 | 3,080,000$ | 2,840,000$ | 3,200,000$ | 3,200,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anton Blidh ![]() | LW | 28 | 900,000$ | 1,050,000$ | 750,000$ | UFA | |||||
Blade Jenkins ![]() | C/LW | 22 | 803,333$ | 803,333$ | 803,333$ | RFA | |||||
Brendan Lemieux ![]() | LW | 27 | 1,177,000$ | 1,004,000$ | 1,350,000$ | UFA | |||||
Cedric Pare ![]() | C | 24 | 750,000$ | 750,000$ | ![]() | ||||||
Cole Bardreau ![]() | C/RW | 29 | 750,000$ | 700,000$ | 750,000$ | UFA | |||||
Connor Bunnaman ![]() | C/LW | 25 | 750,000$ | 750,000$ | 750,000$ | ![]() | |||||
Daniel Carr ![]() | LW/RW | 31 | 900,000$ | 900,000$ | UFA | ||||||
Dmitrij Jaskin ![]() | LW/RW | 30 | 750,000$ | 750,000$ | UFA | ||||||
Greg McKegg ![]() | C/LW/RW | 30 | 833,333$ | 975,000$ | 762,500$ | 762,500$ | UFA | ||||
Jacob Perreault ![]() | RW | 21 | 871,042$ | 894,167$ | 863,333$ | 863,333$ | 863,333$ | ![]() | |||
Jeremy Davies ![]() | D | 26 | 1,264,000$ | 1,778,000$ | 750,000$ | UFA | |||||
Jonah Gadjovich ![]() | LW | 24 | 806,666$ | 863,333$ | 750,000$ | ![]() | |||||
Joona Koppanen ![]() | C | 25 | 750,000$ | 750,000$ | 750,000$ | ![]() | |||||
Joseph Woll ![]() | G | 24 | 775,000$ | 800,000$ | 766,667$ | 766,667$ | 766,667$ | UFA | |||
Justin Kirkland ![]() | C/LW | 26 | 862,000$ | 974,000$ | 750,000$ | UFA | |||||
Martin Pospisil ![]() | C/LW/RW | 23 | 780,000$ | 810,000$ | 750,000$ | ![]() | |||||
Mason Shaw ![]() | C/LW | 24 | 837,500$ | 925,000$ | 750,000$ | ![]() | |||||
Matt Donovan ![]() | D | 33 | 750,000$ | 700,000$ | UFA | ||||||
Max Gildon ![]() | D | 24 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Michael Eyssimont ![]() | C/LW | 26 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Mikey Anderson ![]() | D | 24 | 3,577,500$ | 1,775,000$ | 1,000,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ |
Mikhail Berdin ![]() | G | 25 | 1,541,500$ | 2,333,000$ | 750,000$ | ![]() | |||||
Oskari Laaksonen ![]() | D | 23 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Pavel Shen ![]() | C/RW | 23 | 925,000$ | 925,000$ | RFA | ||||||
Scott Reedy ![]() | C | 24 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Sven Baertschi ![]() | LW | 30 | 2,017,000$ | 2,017,000$ | UFA | ||||||
Wyatt Kalynuk ![]() | D | 26 | 1,262,500$ | 1,775,000$ | 750,000$ | UFA |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
79,696,383$ | 0$ | 0$ | 82,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | BBT Center | |
City | Floride | ||
Capacity | 17000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 90$ | 45$ | 26$ | 20$ | 175$ |
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 |
79,696,383$ | 88,495,241$ | 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$ | 6,032,965$ | 6,032,965$ |
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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 |
---|---|---|---|---|---|
Carson Bantle | ![]() | 2021 | 172 | ||
Croix Evingson | ![]() | 2018 | 202 | ||
Dylan Peterson | ![]() | 2021 | 116 | ||
Elliot Ekmark | ![]() | 2021 | 209 | ||
Jack Smith | ![]() | 2021 | 135 | ||
James Malatesta | ![]() | 2022 | 120 | ||
Joaquim Lemay | ![]() | 2022 | 152 | ||
Juho Markkanen | ![]() | 2021 | 147 | ||
Mitchell Hoelscher | ![]() | 2019 | 150 | ||
Nikita Popugaev | ![]() | 2018 | 132 | ||
Nikolaj Krag-Christensen | ![]() | 2019 | 179 | ||
Raivis Ansons | ![]() | 2021 | 178 | ||
Robert Flinton | ![]() | 2022 | 216 | ||
Ryan Ufko | ![]() | 2022 | 105 | ||
Sasha Pastujov | ![]() | 2022 | 24 | ||
Semyon Vyazovoi | ![]() | 2022 | 184 | ||
Ty Taylor | ![]() | 2019 | 212 |
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 |
---|---|---|---|---|---|
Carson Bantle | ![]() | 2021 | 172 | ||
Croix Evingson | ![]() | 2018 | 202 | ||
Dylan Peterson | ![]() | 2021 | 116 | ||
Elliot Ekmark | ![]() | 2021 | 209 | ||
Jack Smith | ![]() | 2021 | 135 | ||
James Malatesta | ![]() | 2022 | 120 | ||
Joaquim Lemay | ![]() | 2022 | 152 | ||
Juho Markkanen | ![]() | 2021 | 147 | ||
Mitchell Hoelscher | ![]() | 2019 | 150 | ||
Nikita Popugaev | ![]() | 2018 | 132 | ||
Nikolaj Krag-Christensen | ![]() | 2019 | 179 | ||
Raivis Ansons | ![]() | 2021 | 178 | ||
Robert Flinton | ![]() | 2022 | 216 | ||
Ryan Ufko | ![]() | 2022 | 105 | ||
Sasha Pastujov | ![]() | 2022 | 24 | ||
Semyon Vyazovoi | ![]() | 2022 | 184 | ||
Ty Taylor | ![]() | 2019 | 212 |