

































Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C | 100.00 | 69 | 40 | 92 | 80 | 89 | 85 | 94 | 77 | 89 | 83 | 73 | 74 | 61 | 96 | 92 | 0 | 82 | 36 | 10,000,000$/4yrs | |||||
![]() | LW/RW | 100.00 | 66 | 40 | 91 | 85 | 69 | 77 | 90 | 77 | 51 | 82 | 77 | 66 | 63 | 66 | 59 | 0 | 78 | 25 | 5,450,000$/9yrs | |||||
![]() | C | 100.00 | 76 | 57 | 80 | 73 | 79 | 84 | 84 | 72 | 85 | 76 | 76 | 71 | 57 | 75 | 74 | 0 | 78 | 30 | 3,750,000$/4yrs | |||||
![]() | C/LW | 100.00 | 72 | 40 | 87 | 76 | 76 | 75 | 90 | 70 | 71 | 79 | 70 | 71 | 56 | 68 | 59 | 0 | 76 | 26 | 3,500,000$/5yrs | |||||
![]() | C | 100.00 | 70 | 47 | 78 | 70 | 85 | 74 | 85 | 69 | 88 | 77 | 70 | 68 | 81 | 81 | 70 | 0 | 75 | 31 | 8,000,000$/3yrs | |||||
![]() | LW/RW | 100.00 | 65 | 40 | 93 | 71 | 71 | 71 | 89 | 69 | 52 | 73 | 76 | 65 | 62 | 62 | 58 | 0 | 74 | 28 | 4,750,000$/2yrs | |||||
![]() | C | 100.00 | 75 | 40 | 87 | 69 | 70 | 72 | 91 | 66 | 65 | 75 | 67 | 75 | 54 | 60 | 58 | 0 | 73 | 25 | 1,500,000$/4yrs | |||||
![]() | C/LW/RW | 100.00 | 69 | 40 | 83 | 72 | 79 | 73 | 91 | 66 | 56 | 73 | 71 | 65 | 55 | 69 | 63 | 0 | 73 | 29 | 3,650,000$/3yrs | |||||
![]() | C/LW/RW | 100.00 | 70 | 47 | 89 | 72 | 75 | 72 | 89 | 66 | 54 | 74 | 70 | 70 | 87 | 60 | 58 | 0 | 73 | 25 | 2,000,000$/3yrs | |||||
![]() | RW | 100.00 | 58 | 38 | 86 | 67 | 67 | 75 | 85 | 70 | 50 | 70 | 69 | 63 | 55 | 72 | 62 | 0 | 71 | 34 | 5,875,000$/3yrs | |||||
![]() | C/RW | 100.00 | 77 | 40 | 86 | 66 | 73 | 63 | 83 | 58 | 71 | 69 | 60 | 77 | 54 | 61 | 58 | 0 | 69 | 27 | 950,000$/2yrs | |||||
![]() | C/RW | 100.00 | 83 | 81 | 80 | 64 | 78 | 61 | 83 | 58 | 59 | 69 | 60 | 66 | 54 | 59 | 58 | 0 | 68 | 27 | 925,000$/1yrs | |||||
![]() | D | 100.00 | 77 | 40 | 83 | 91 | 74 | 97 | 90 | 74 | 40 | 87 | 64 | 82 | 66 | 65 | 65 | 0 | 82 | 24 | 8,450,000$/7yrs | |||||
![]() | D | 100.00 | 73 | 40 | 84 | 72 | 83 | 84 | 92 | 63 | 40 | 74 | 62 | 86 | 54 | 63 | 59 | 0 | 76 | 28 | 3,166,667$/7yrs | |||||
![]() | D | 100.00 | 70 | 40 | 78 | 72 | 87 | 84 | 92 | 64 | 40 | 76 | 61 | 85 | 61 | 82 | 66 | 0 | 76 | 34 | 3,900,000$/2yrs | |||||
![]() | D | 100.00 | 83 | 57 | 83 | 71 | 76 | 83 | 86 | 60 | 40 | 71 | 62 | 85 | 54 | 58 | 58 | 0 | 75 | 23 | 880,000$/4yrs | |||||
![]() | D | 100.00 | 70 | 40 | 80 | 78 | 66 | 86 | 94 | 62 | 40 | 74 | 62 | 85 | 54 | 67 | 59 | 0 | 75 | 27 | 4,675,000$/9yrs | |||||
![]() | D | 100.00 | 70 | 66 | 79 | 66 | 82 | 66 | 80 | 56 | 40 | 68 | 59 | 86 | 54 | 71 | 59 | 0 | 71 | 34 | 950,000$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | D | 100.00 | 71 | 58 | 78 | 60 | 80 | 70 | 65 | 59 | 40 | 73 | 63 | 76 | 54 | 71 | 59 | 0 | 71 | 33 | 750,000$/1yrs | |||||
TEAM AVERAGE | 100.00 | 72 | 47 | 84 | 72 | 77 | 76 | 87 | 66 | 56 | 75 | 67 | 75 | 60 | 69 | 63 | 0 | 75 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 29 | 100.00 | 81 | 88 | 88 | 80 | 85 | 76 | 85 | 77 | 88 | 77 | 85 | 99 | 99 | 0 | 85 | 38 | 3,500,000$/2yrs | |
![]() | 41 | 100.00 | 78 | 70 | 70 | 81 | 84 | 78 | 84 | 75 | 84 | 72 | 73 | 60 | 55 | 0 | 79 | 31 | 1,000,000$/2yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 80 | 79 | 79 | 81 | 85 | 77 | 85 | 76 | 86 | 75 | 79 | 80 | 77 | 0 | 82 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Sheldon Keefe | 80 | 88 | 93 | 85 | 62 | 58 | 84 | CAN | 39 | 5 | 0$ |
General Manager | Denis Beauchesne |
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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 | 77,621,667$ |
Projected Cap Space | 4,878,333$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 21 |
Contracts | 53/50 |
LTIR Players | 0 |
Coyotes Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anze Kopitar ![]() | C | 36 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||
Boone Jenner ![]() | C | 30 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||
Cam Atkinson ![]() | RW | 34 | 5,875,000$ | 5,875,000$ | 5,875,000$ | 5,875,000$ | UFA | ||||
Dylan Gambrell ![]() | C/RW | 27 | 950,000$ | 950,000$ | 775,000$ | UFA | |||||
Eetu Luostarinen ![]() | C | 25 | 1,500,000$ | 1,500,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Frank Vatrano ![]() | C/LW/RW | 29 | 3,650,000$ | 3,650,000$ | 3,650,000$ | 3,650,000$ | UFA | ||||
Jesper Bratt ![]() | LW/RW | 25 | 5,450,000$ | 5,450,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ |
Kevin Shattenkirk ![]() | D | 34 | 3,900,000$ | 3,900,000$ | 1,050,000$ | UFA | |||||
Marc-Andre Fleury ![]() | G | 38 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Martin Fehervary ![]() | D | 23 | 880,000$ | 880,000$ | 2,675,000$ | 2,675,000$ | 2,675,000$ | ![]() | |||
Michael Stone ![]() | D | 33 | 750,000$ | 750,000$ | UFA | ||||||
Miro Heiskanen ![]() | D | 24 | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | UFA |
Pavel Zacha ![]() | C/LW | 26 | 3,500,000$ | 3,500,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||
Robert Bortuzzo ![]() | D | 34 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Ryan Graves ![]() | D | 28 | 3,166,667$ | 3,166,667$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA |
Ryan Johansen ![]() | C | 31 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||
Scott Wedgewood ![]() | G | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Travis Sanheim ![]() | D | 27 | 4,675,000$ | 4,675,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ |
Victor Olofsson ![]() | LW/RW | 28 | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||||
Yegor Sharangovich ![]() | C/LW/RW | 25 | 2,000,000$ | 2,000,000$ | 3,100,000$ | 3,100,000$ | UFA | ||||
Zack Macewen ![]() | C/RW | 27 | 925,000$ | 925,000$ | ![]() |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aidan Mcdonough ![]() | LW | 23 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Alexis Lafreniere ![]() | LW/RW | 21 | 3,775,000$ | 3,775,000$ | 2,325,000$ | 2,325,000$ | RFA | ||||
Artemi Kniazev ![]() | D | 22 | 905,000$ | 905,000$ | 905,000$ | RFA | |||||
Austin Strand ![]() | D | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Connor Carrick ![]() | D | 29 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Declan Chisholm ![]() | D | 23 | 825,000$ | 825,000$ | 775,000$ | ![]() | |||||
Dustin Tokarski ![]() | G | 34 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Egor Afanasyev ![]() | LW | 22 | 896,667$ | 896,667$ | 896,667$ | RFA | |||||
Filip Roos ![]() | D | 24 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Fredrik Olofsson ![]() | LW | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Grant Mismash ![]() | C/LW | 24 | 925,000$ | 925,000$ | ![]() | ||||||
Jeffrey Viel ![]() | LW | 26 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Joakim Kemell ![]() | RW | 19 | 750,000$ | 1,450,000$ | 1,418,333$ | 1,418,333$ | 1,418,333$ | RFA | |||
Jonas Rondbjerg ![]() | RW | 24 | 871,250$ | 766,667$ | 766,667$ | 766,667$ | ![]() | ||||
Jussi Olkinuora ![]() | G | 32 | 750,000$ | 750,000$ | UFA | ||||||
Kaapo Kakko ![]() | RW | 22 | 2,100,000$ | 2,100,000$ | 2,100,000$ | RFA | |||||
Karel Plasek ![]() | C | 23 | 851,667$ | 851,667$ | RFA | ||||||
Kim Nousiainen ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Luke Richardson ![]() | G | 24 | 775,000$ | 775,000$ | ![]() | ||||||
Malte Stromwall ![]() | RW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Marcus Bjork ![]() | D | 25 | 750,000$ | 775,000$ | 775,000$ | ![]() | |||||
Michael Karow ![]() | D | 24 | 750,000$ | 750,000$ | ![]() | ||||||
Otto Koivula ![]() | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Pontus Andreasson ![]() | C/LW | 25 | 925,000$ | 925,000$ | ![]() | ||||||
Sakari Manninen ![]() | C | 31 | 750,000$ | 750,000$ | UFA | ||||||
Shakir Mukhamadullin ![]() | D | 21 | 1,294,167$ | 1,294,167$ | 1,294,167$ | 1,294,167$ | RFA | ||||
Thomas Bordeleau ![]() | C | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Thomas Harley ![]() | D | 22 | 1,288,333$ | 1,288,333$ | 1,288,333$ | RFA | |||||
Topi Niemela ![]() | D | 21 | 856,667$ | 856,667$ | 856,667$ | RFA | |||||
Tuukka Tieksola ![]() | RW | 22 | 843,333$ | 843,333$ | RFA | ||||||
Valtteri Puustinen ![]() | RW | 24 | 925,000$ | 925,000$ | 775,000$ | ![]() | |||||
Wyatt Johnston ![]() | C | 20 | 1,000,417$ | 1,000,417$ | 1,000,417$ | 1,000,417$ | RFA |
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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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Sat, Sep 16 | ![]() | @ | ![]() | ||
Mon, Sep 18 | ![]() | @ | ![]() | ||
Wed, Sep 20 | ![]() | @ | ![]() | ||
Sat, Sep 23 | ![]() | @ | ![]() | ||
Mon, Sep 25 | ![]() | @ | ![]() | ||
Thu, Sep 28 | ![]() | @ | ![]() | ||
Sun, Oct 1 | ![]() | @ | ![]() | ||
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Thu, Oct 5 | ![]() | @ | ![]() | ||
Sat, Oct 7 | ![]() | @ | ![]() | ||
Mon, Oct 9 | ![]() | @ | ![]() | ||
Thu, Oct 12 | ![]() | @ | ![]() | ||
Sat, Oct 14 | ![]() | @ | ![]() | ||
Mon, Oct 16 | ![]() | @ | ![]() | ||
Tue, Oct 17 | ![]() | @ | ![]() | ||
Sat, Oct 21 | ![]() | @ | ![]() | ||
Wed, Oct 25 | ![]() | @ | ![]() | ||
Fri, Oct 27 | ![]() | @ | ![]() | ||
Sun, Oct 29 | ![]() | @ | ![]() | ||
Tue, Oct 31 | ![]() | @ | ![]() | ||
Sat, Nov 4 | ![]() | @ | ![]() | ||
Mon, Nov 6 | ![]() | @ | ![]() | ||
Wed, Nov 8 | ![]() | @ | ![]() | ||
Fri, Nov 10 | ![]() | @ | ![]() | ||
Sun, Nov 12 | ![]() | @ | ![]() | ||
Tue, Nov 14 | ![]() | @ | ![]() | ||
Thu, Nov 16 | ![]() | @ | ![]() | ||
Sun, Nov 19 | ![]() | @ | ![]() | ||
Mon, Nov 20 | ![]() | @ | ![]() | ||
Wed, Nov 22 | ![]() | @ | ![]() | ||
Fri, Nov 24 | ![]() | @ | ![]() | ||
Sun, Nov 26 | ![]() | @ | ![]() | ||
Thu, Nov 30 | ![]() | @ | ![]() | ||
Sat, Dec 2 | ![]() | @ | ![]() | ||
Mon, Dec 4 | ![]() | @ | ![]() | ||
Thu, Dec 7 | ![]() | @ | ![]() | ||
Sat, Dec 9 | ![]() | @ | ![]() | ||
Sun, Dec 10 | ![]() | @ | ![]() | ||
Tue, Dec 12 | ![]() | @ | ![]() | ||
Thu, Dec 14 | ![]() | @ | ![]() | ||
Sat, Dec 16 | ![]() | @ | ![]() | ||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
77,621,667$ | 0$ | 77,621,667$ | 4,878,333$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Jobing.com Arena | |
City | Arizona | ||
Capacity | 17000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 80$ | 50$ | 30$ | 15$ | 190$ |
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 |
77,621,667$ | 77,621,667$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 77,621,667$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 189 | 410,697$ | 77,621,733$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
77,621,733$ | 77,621,667$ | 2,000,000$ | -75,621,733$ |
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 |
---|---|---|---|---|---|---|---|
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Antti Saarela | ![]() | 2020 | 159 | Link | |
Arsen Khisamutdinov | ![]() | 2020 | 155 | Link | |
Bryce Brodzinski | ![]() | 2020 | 149 | Link | |
Cole Moberg | ![]() | 2020 | 133 | Link | |
Dmitry Kuzmin | ![]() | 2022 | 49 | Link | |
Ivan Miroshnichenko | ![]() | 2023 | 33 | Link | |
Lenni Killinen | ![]() | 2019 | 129 | Link | |
Logan Stankoven | ![]() | 2022 | 21 | Link | |
Matias Mantykivi | ![]() | 2020 | 190 | Link | |
Michael Koster | ![]() | 2020 | 186 | Link | |
Nikola Pasic | ![]() | 2020 | 189 | Link | |
Noah Ostlund | ![]() | 2023 | 23 | Link | |
Santeri Airola | ![]() | 2020 | 216 | Link | |
Sasha Mutala | ![]() | 2020 | 140 | Link | |
Semyon Chystyakov | ![]() | 2020 | 119 | Link | |
Trevor Janicke | ![]() | 2020 | 124 | Link |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Antti Saarela | ![]() | 2020 | 159 | Link | |
Arsen Khisamutdinov | ![]() | 2020 | 155 | Link | |
Bryce Brodzinski | ![]() | 2020 | 149 | Link | |
Cole Moberg | ![]() | 2020 | 133 | Link | |
Dmitry Kuzmin | ![]() | 2022 | 49 | Link | |
Ivan Miroshnichenko | ![]() | 2023 | 33 | Link | |
Lenni Killinen | ![]() | 2019 | 129 | Link | |
Logan Stankoven | ![]() | 2022 | 21 | Link | |
Matias Mantykivi | ![]() | 2020 | 190 | Link | |
Michael Koster | ![]() | 2020 | 186 | Link | |
Nikola Pasic | ![]() | 2020 | 189 | Link | |
Noah Ostlund | ![]() | 2023 | 23 | Link | |
Santeri Airola | ![]() | 2020 | 216 | Link | |
Sasha Mutala | ![]() | 2020 | 140 | Link | |
Semyon Chystyakov | ![]() | 2020 | 119 | Link | |
Trevor Janicke | ![]() | 2020 | 124 | Link |