Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dmytro Timashov | 86 | LW/RW | 100.00 | 86 | 37 | 89 | 64 | 70 | 87 | 84 | 65 | 59 | 63 | 62 | 66 | 68 | 69 | 67 | 0 | 50 | 71 | 26 | 1,092,000$/1yrs | |||
John Leonard | 43 | LW | 100.00 | 62 | 36 | 85 | 66 | 72 | 84 | 86 | 67 | 63 | 67 | 65 | 59 | 68 | 66 | 64 | 0 | 50 | 69 | 24 | 943,750$/2yrs | |||
Gabriel Dumont (C) | 22 | C | 100.00 | 62 | 53 | 74 | 62 | 69 | 80 | 83 | 61 | 73 | 65 | 66 | 61 | 63 | 72 | 77 | 0 | 50 | 68 | 32 | 909,000$/1yrs | |||
Stefan Matteau | 28 | C | 100.00 | 78 | 44 | 79 | 59 | 82 | 78 | 66 | 57 | 71 | 60 | 58 | 64 | 56 | 68 | 70 | 0 | 50 | 67 | 29 | 850,000$/1yrs | |||
Kyle Criscuolo | 42 | C | 100.00 | 63 | 35 | 77 | 66 | 69 | 83 | 76 | 63 | 74 | 67 | 59 | 56 | 64 | 70 | 72 | 0 | 50 | 67 | 31 | 966,500$/2yrs | |||
Lane Pederson | 29 | C | 100.00 | 68 | 36 | 81 | 62 | 74 | 82 | 79 | 60 | 76 | 62 | 61 | 59 | 63 | 66 | 67 | 0 | 50 | 67 | 25 | 750,000$/2yrs | |||
Nate Schnarr (R) | 16 | C | 100.00 | 70 | 36 | 84 | 59 | 79 | 82 | 87 | 58 | 67 | 60 | 59 | 57 | 61 | 63 | 65 | 0 | 50 | 66 | 24 | 822,084$/2yrs | |||
Pierre-Cedric Labrie (A) | 36 | LW/RW | 100.00 | 80 | 43 | 72 | 53 | 89 | 69 | 84 | 54 | 57 | 55 | 56 | 59 | 55 | 76 | 78 | 0 | 50 | 66 | 36 | 1,010,400$/2yrs | |||
Pavel Gogolev | 20 | LW | 100.00 | 63 | 37 | 92 | 60 | 72 | 71 | 62 | 58 | 62 | 59 | 60 | 56 | 59 | 62 | 64 | 0 | 50 | 64 | 23 | 1,124,778$/3yrs | |||
Dennis Yan | 12 | LW | 100.00 | 68 | 34 | 76 | 54 | 77 | 81 | 83 | 55 | 52 | 56 | 57 | 58 | 54 | 65 | 67 | 0 | 50 | 64 | 26 | 846,000$/1yrs | |||
Brandon Gignac | 37 | LW/RW | 100.00 | 57 | 36 | 92 | 61 | 66 | 82 | 76 | 59 | 63 | 60 | 58 | 57 | 61 | 65 | 67 | 0 | 50 | 64 | 25 | 1,392,000$/1yrs | |||
Libor Hajek | 25 | D | 100.00 | 71 | 31 | 84 | 66 | 85 | 80 | 74 | 63 | 30 | 64 | 59 | 67 | 53 | 64 | 66 | 0 | 50 | 70 | 25 | 946,328$/2yrs | |||
Noah Juulsen | 47 | D | 100.00 | 79 | 36 | 87 | 63 | 81 | 83 | 79 | 59 | 30 | 66 | 59 | 67 | 50 | 65 | 67 | 0 | 50 | 70 | 26 | 843,750$/2yrs | |||
Kale Clague | 38 | D | 100.00 | 61 | 36 | 81 | 69 | 72 | 85 | 77 | 67 | 30 | 73 | 59 | 60 | 52 | 64 | 66 | 0 | 50 | 69 | 25 | 855,826$/2yrs | |||
Jacob Moverare | 57 | D | 100.00 | 72 | 39 | 91 | 60 | 85 | 82 | 76 | 59 | 30 | 62 | 56 | 65 | 49 | 64 | 66 | 0 | 50 | 68 | 24 | 917,667$/3yrs | |||
Trevor Carrick | 3 | D | 100.00 | 66 | 41 | 73 | 58 | 75 | 72 | 90 | 57 | 30 | 60 | 56 | 59 | 46 | 68 | 70 | 0 | 50 | 66 | 28 | 750,000$/2yrs | |||
Robbie Russo | 44 | D | 100.00 | 64 | 37 | 87 | 59 | 73 | 69 | 93 | 58 | 30 | 64 | 53 | 57 | 46 | 69 | 71 | 0 | 50 | 65 | 30 | 800,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Seth Griffith | 15 | C | 100.00 | 60 | 37 | 91 | 64 | 67 | 76 | 87 | 63 | 73 | 64 | 62 | 59 | 64 | 70 | 71 | 0 | 50 | 67 | 30 | 820,333$/3yrs | |||
Carson Focht | 8 | C | 100.00 | 63 | 37 | 71 | 58 | 69 | 73 | 74 | 57 | 63 | 56 | 55 | 54 | 58 | 62 | 64 | 0 | 50 | 62 | 23 | 883,333$/2yrs | |||
Alexandre Fortin | 26 | LW | 100.00 | 62 | 37 | 93 | 57 | 71 | 78 | 66 | 56 | 53 | 54 | 55 | 52 | 57 | 65 | 67 | 0 | 50 | 62 | 26 | 750,000$/1yrs | |||
Chad Yetman | 65 | RW | 100.00 | 59 | 36 | 91 | 58 | 68 | 69 | 63 | 56 | 51 | 57 | 54 | 53 | 56 | 62 | 64 | 0 | 50 | 61 | 23 | 750,000$/1yrs | |||
Chris Bigras | 23 | D | 100.00 | 67 | 39 | 87 | 58 | 76 | 66 | 71 | 57 | 30 | 56 | 55 | 54 | 46 | 67 | 69 | 0 | 50 | 63 | 28 | 891,000$/1yrs | |||
Jack Dougherty | 32 | D | 100.00 | 61 | 38 | 94 | 59 | 80 | 61 | 68 | 56 | 30 | 54 | 52 | 54 | 45 | 66 | 68 | 0 | 50 | 62 | 27 | 862,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Christopher Gibson | 33 | 100.00 | 75 | 71 | 70 | 84 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 70 | 84 | 0 | 50 | 77 | 30 | 1,107,000$/2yrs |
Jack LaFontaine | 34 | 100.00 | 70 | 71 | 70 | 81 | 69 | 68 | 70 | 69 | 68 | 70 | 69 | 64 | 71 | 0 | 50 | 72 | 25 | 1,000,000$/1yrs |
Scratches | ||||||||||||||||||||
Veini Vehvilainen | 61 | 100.00 | 70 | 82 | 80 | 71 | 69 | 68 | 70 | 69 | 68 | 70 | 69 | 67 | 71 | 0 | 50 | 72 | 26 | 1,300,000$/1yrs |
Hugo Alnefelt | 80 | 100.00 | 65 | 72 | 73 | 76 | 64 | 63 | 65 | 64 | 63 | 65 | 64 | 61 | 65 | 0 | 50 | 68 | 22 | 925,000$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dany Dube | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 56 | 4 | 0$ |
General Manager |
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Priority | Type | Description |
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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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Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexandre Fortin | LW | 26 | 750,000$ | 700,000$ | UFA | ||||||
Brandon Gignac | LW/RW | 25 | 1,392,000$ | 1,392,000$ | RFA | ||||||
Carson Focht | C | 23 | 883,333$ | 883,333$ | 883,333$ | RFA | |||||
Chad Yetman | RW | 23 | 750,000$ | 750,000$ | RFA | ||||||
Chris Bigras | D | 28 | 891,000$ | 891,000$ | UFA | ||||||
Christopher Gibson | G | 30 | 1,107,000$ | 1,464,000$ | 750,000$ | UFA | |||||
Dennis Yan | LW | 26 | 846,000$ | 846,000$ | UFA | ||||||
Dmytro Timashov | LW/RW | 26 | 1,092,000$ | 1,092,000$ | UFA | ||||||
Gabriel Dumont | C | 32 | 909,000$ | 909,000$ | UFA | ||||||
Hugo Alnefelt | G | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Jack Dougherty | D | 27 | 862,000$ | 862,000$ | UFA | ||||||
Jack LaFontaine | G | 25 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Jacob Moverare | D | 24 | 917,667$ | 1,228,000$ | 762,500$ | 762,500$ | UFA | ||||
John Leonard | LW | 24 | 943,750$ | 1,137,500$ | 750,000$ | RFA | |||||
Kale Clague | D | 25 | 855,826$ | 961,652$ | 750,000$ | RFA | |||||
Kyle Criscuolo | C | 31 | 966,500$ | 1,183,000$ | 750,000$ | UFA | |||||
Lane Pederson | C | 25 | 750,000$ | 700,000$ | 750,000$ | UFA | |||||
Libor Hajek | D | 25 | 946,328$ | 1,092,656$ | 800,000$ | UFA | |||||
Nate Schnarr | C | 24 | 822,084$ | 894,167$ | 750,000$ | RFA | |||||
Noah Juulsen | D | 26 | 843,750$ | 937,500$ | 750,000$ | UFA | |||||
Pavel Gogolev | LW | 23 | 1,124,778$ | 1,700,000$ | 837,167$ | 837,167$ | RFA | ||||
Pierre-Cedric Labrie | LW/RW | 36 | 1,010,400$ | 750,000$ | 1,270,800$ | UFA | |||||
Robbie Russo | D | 30 | 800,000$ | 850,000$ | 750,000$ | UFA | |||||
Seth Griffith | C | 30 | 820,333$ | 936,000$ | 762,500$ | 762,500$ | UFA | ||||
Stefan Matteau | C | 29 | 850,000$ | 850,000$ | UFA | ||||||
Trevor Carrick | D | 28 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Veini Vehvilainen | G | 26 | 1,300,000$ | 1,300,000$ | UFA |
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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 |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,698,481$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Syracuse | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 38$ | 18$ | $ | $ | $ |
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$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,698,481$ | 2,510,875$ | 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$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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