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Full Scoreboard »» |
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Full Scoreboard »» |
Syracuse Crunch 0-0-0, 0pts · 12th in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Wade Allison | 0 | RW | 100.00 | 90 | 41 | 79 | 63 | 81 | 77 | 78 | 66 | 57 | 64 | 69 | 74 | 68 | 69 | 67 | 0 | 63 | 79 | 26 | 1,100,000$/1yrs | |||
Tomas Nosek | 9 | C/LW | 100.00 | 68 | 40 | 77 | 61 | 83 | 76 | 81 | 64 | 83 | 68 | 65 | 79 | 65 | 78 | 76 | 0 | 40 | 78 | 31 | 900,000$/2yrs | |||
Anthony Richard | 0 | C/LW | 100.00 | 71 | 38 | 76 | 64 | 71 | 72 | 84 | 65 | 67 | 66 | 66 | 66 | 66 | 70 | 68 | 0 | 41 | 75 | 27 | 775,000$/1yrs | |||
Jakub Lauko | 0 | C | 100.00 | 77 | 49 | 77 | 66 | 76 | 70 | 75 | 65 | 58 | 66 | 64 | 65 | 65 | 64 | 62 | 0 | 29 | 75 | 24 | 1,200,000$/3yrs | |||
Anders Bjork | 0 | LW/RW | 100.00 | 62 | 38 | 88 | 61 | 76 | 70 | 78 | 65 | 47 | 66 | 59 | 68 | 62 | 70 | 69 | 0 | 63 | 74 | 27 | 900,000$/2yrs | |||
Jack Studnicka | 0 | C/RW | 100.00 | 71 | 32 | 89 | 61 | 74 | 73 | 78 | 62 | 74 | 62 | 64 | 66 | 63 | 66 | 65 | 0 | 38 | 74 | 25 | 775,000$/1yrs | |||
Mason Jobst | 26 | C | 100.00 | 63 | 38 | 86 | 57 | 68 | 69 | 86 | 66 | 77 | 61 | 59 | 70 | 60 | 73 | 72 | 0 | 38 | 73 | 30 | 950,000$/3yrs | |||
Carson Meyer | 0 | RW | 100.00 | 78 | 39 | 66 | 59 | 71 | 69 | 78 | 62 | 36 | 60 | 59 | 66 | 59 | 68 | 65 | 0 | 22 | 73 | 26 | 775,000$/1yrs | |||
Jimmy Huntington | 63 | C | 100.00 | 72 | 40 | 71 | 58 | 78 | 67 | 84 | 63 | 69 | 60 | 57 | 66 | 58 | 66 | 63 | 0 | 42 | 72 | 25 | 775,000$/1yrs | |||
Samu Tuomaala (R) | 0 | RW | 100.00 | 58 | 38 | 94 | 65 | 73 | 69 | 72 | 64 | 38 | 67 | 59 | 60 | 63 | 58 | 57 | 0 | 19 | 72 | 21 | 830,833$/3yrs | |||
Liam Ohgren (R) | 0 | LW | 100.00 | 52 | 38 | 97 | 66 | 79 | 7 | 60 | 62 | 44 | 63 | 66 | 63 | 64 | 56 | 56 | 0 | 34 | 71 | 20 | 950,000$/2yrs | |||
Marc McLaughlin | 0 | C | 100.00 | 66 | 39 | 80 | 56 | 78 | 65 | 88 | 62 | 69 | 55 | 56 | 65 | 56 | 64 | 62 | 0 | 20 | 70 | 24 | 883,750$/1yrs | |||
Robert Hagg | 0 | D | 100.00 | 88 | 33 | 76 | 59 | 83 | 81 | 73 | 62 | 30 | 66 | 62 | 72 | 62 | 73 | 71 | 0 | 37 | 78 | 29 | 1,500,000$/2yrs | |||
Urho Vaakanainen | 0 | D | 100.00 | 62 | 33 | 95 | 63 | 80 | 82 | 76 | 62 | 30 | 68 | 50 | 67 | 56 | 66 | 66 | 0 | 32 | 76 | 25 | 1,200,000$/1yrs | |||
Ian Mitchell | 0 | D | 100.00 | 59 | 32 | 87 | 64 | 67 | 81 | 76 | 62 | 30 | 69 | 57 | 64 | 60 | 66 | 65 | 0 | 46 | 75 | 25 | 955,000$/2yrs | |||
Lucas Carlsson | 0 | D | 100.00 | 72 | 40 | 71 | 58 | 74 | 71 | 87 | 57 | 30 | 65 | 60 | 68 | 62 | 68 | 65 | 0 | 47 | 74 | 26 | 1,100,000$/1yrs | |||
Will Zmolek | 0 | D | 100.00 | 69 | 40 | 77 | 60 | 83 | 68 | 60 | 58 | 30 | 64 | 57 | 65 | 60 | 63 | 61 | 0 | 17 | 73 | 25 | 920,000$/1yrs | |||
Jordan Gross | 79 | D | 100.00 | 64 | 32 | 95 | 71 | 72 | 87 | 68 | 50 | 30 | 50 | 75 | 62 | 62 | 73 | 72 | 0 | 47 | 71 | 28 | 950,000$/1yrs | |||
Jack Ahcan | 0 | D | 100.00 | 64 | 38 | 84 | 56 | 68 | 67 | 88 | 53 | 30 | 62 | 53 | 68 | 57 | 68 | 66 | 0 | 47 | 71 | 26 | 975,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Matt Luff | 64 | RW | 100.00 | 70 | 33 | 99 | 62 | 78 | 72 | 69 | 64 | 55 | 65 | 66 | 66 | 65 | 69 | 69 | 0 | 27 | 76 | 26 | 850,000$/1yrs | |||
Declan McDonnell (R) | 0 | RW | 100.00 | 73 | 39 | 78 | 64 | 66 | 69 | 60 | 60 | 40 | 63 | 63 | 61 | 63 | 58 | 55 | 0 | 19 | 71 | 21 | 775,000$/1yrs | |||
Riley Damiani | 13 | C | 100.00 | 66 | 38 | 81 | 58 | 65 | 66 | 86 | 61 | 73 | 58 | 57 | 64 | 58 | 63 | 61 | 0 | 24 | 70 | 24 | 803,333$/1yrs | |||
Max Ellis | 0 | RW | 100.00 | 63 | 38 | 85 | 56 | 65 | 65 | 82 | 61 | 38 | 57 | 55 | 64 | 56 | 63 | 61 | 0 | 19 | 69 | 24 | 838,750$/1yrs | |||
Luke Henman | 19 | C | 100.00 | 65 | 38 | 82 | 54 | 67 | 63 | 85 | 61 | 67 | 53 | 54 | 65 | 54 | 63 | 61 | 0 | 20 | 68 | 24 | 791,667$/1yrs | |||
Samuel Helenius | 0 | C | 100.00 | 75 | 42 | 67 | 55 | 90 | 62 | 87 | 59 | 62 | 55 | 52 | 63 | 53 | 59 | 56 | 0 | 24 | 68 | 21 | 805,833$/3yrs | |||
Patrick Guay (R) | 0 | C/LW | 100.00 | 71 | 39 | 72 | 55 | 67 | 62 | 72 | 59 | 69 | 54 | 52 | 63 | 53 | 59 | 56 | 0 | 20 | 68 | 22 | 775,000$/1yrs | |||
Josh Filmon (R) | 0 | LW | 100.00 | 67 | 39 | 79 | 35 | 71 | 68 | 60 | 62 | 35 | 61 | 66 | 60 | 63 | 56 | 54 | 0 | 20 | 67 | 20 | 870,000$/3yrs | |||
Oskari Laaksonen | 0 | D | 100.00 | 71 | 39 | 80 | 62 | 73 | 69 | 60 | 59 | 30 | 66 | 57 | 65 | 62 | 65 | 67 | 0 | 20 | 74 | 24 | 850,000$/1yrs | |||
Topias Vilen (R) | 0 | D | 100.00 | 63 | 39 | 86 | 55 | 77 | 64 | 68 | 52 | 30 | 61 | 50 | 62 | 56 | 57 | 56 | 0 | 21 | 69 | 21 | 836,667$/3yrs | |||
Christoffer Sedoff (R) | 0 | D | 100.00 | 63 | 39 | 85 | 51 | 77 | 62 | 71 | 49 | 30 | 57 | 50 | 63 | 54 | 59 | 58 | 0 | 20 | 67 | 22 | 870,000$/2yrs | |||
Eemil Viro (R) | 0 | D | 100.00 | 61 | 38 | 90 | 48 | 72 | 61 | 80 | 47 | 30 | 53 | 51 | 63 | 52 | 59 | 58 | 0 | 20 | 65 | 22 | 850,833$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Pavel Francouz | 0 | 100.00 | 89 | 68 | 69 | 72 | 81 | 68 | 82 | 84 | 74 | 85 | 82 | 81 | 85 | 0 | 26 | 82 | 33 | 2,000,000$/1yrs |
Scratches | ||||||||||||||||||||
Devon Levi | 0 | 100.00 | 66 | 84 | 76 | 74 | 80 | 75 | 82 | 91 | 85 | 88 | 82 | 62 | 66 | 0 | 23 | 83 | 22 | 925,000$/2yrs |
Brandon Bussi | 0 | 100.00 | 76 | 83 | 73 | 91 | 63 | 76 | 77 | 76 | 76 | 75 | 76 | 67 | 69 | 0 | 48 | 80 | 25 | 825,000$/1yrs |
Tristan Lennox | 0 | 100.00 | 69 | 77 | 66 | 79 | 60 | 70 | 68 | 69 | 70 | 71 | 69 | 58 | 60 | 0 | 19 | 73 | 21 | 867,500$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Claude Julien | 75 | 73 | 69 | 76 | 92 | 86 | 53 | CAN | 63 | 5 | 500,000$ |
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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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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 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anders Bjork | LW/RW | 27 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Anthony Richard | C/LW | 27 | 775,000$ | 775,000$ | UFA | ||||||
Brandon Bussi | G | 25 | 825,000$ | 825,000$ | RFA | ||||||
Carson Meyer | RW | 26 | 775,000$ | 775,000$ | RFA | ||||||
Christoffer Sedoff | D | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Declan McDonnell | RW | 21 | 775,000$ | 775,000$ | RFA | ||||||
Devon Levi | G | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Eemil Viro | D | 22 | 850,833$ | 850,833$ | RFA | ||||||
Ian Mitchell | D | 25 | 955,000$ | 955,000$ | 955,000$ | RFA | |||||
Jack Ahcan | D | 26 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Jack Studnicka | C/RW | 25 | 775,000$ | 775,000$ | RFA | ||||||
Jakub Lauko | C | 24 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | RFA | ||||
Jimmy Huntington | C | 25 | 775,000$ | 775,000$ | RFA | ||||||
Jordan Gross | D | 28 | 950,000$ | 950,000$ | UFA | ||||||
Josh Filmon | LW | 20 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Liam Ohgren | LW | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Lucas Carlsson | D | 26 | 1,100,000$ | 1,100,000$ | RFA | ||||||
Luke Henman | C | 24 | 791,667$ | 791,667$ | RFA | ||||||
Marc McLaughlin | C | 24 | 883,750$ | 883,750$ | RFA | ||||||
Mason Jobst | C | 30 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | UFA | ||||
Matt Luff | RW | 26 | 850,000$ | 850,000$ | RFA | ||||||
Max Ellis | RW | 24 | 838,750$ | 838,750$ | RFA | ||||||
Oskari Laaksonen | D | 24 | 850,000$ | 850,000$ | RFA | ||||||
Patrick Guay | C/LW | 22 | 775,000$ | 775,000$ | RFA | ||||||
Pavel Francouz | G | 33 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Riley Damiani | C | 24 | 803,333$ | 803,333$ | RFA | ||||||
Robert Hagg | D | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Samu Tuomaala | RW | 21 | 830,833$ | 830,833$ | 830,833$ | 830,833$ | RFA | ||||
Samuel Helenius | C | 21 | 805,833$ | 805,833$ | 805,833$ | 805,833$ | RFA | ||||
Tomas Nosek | C/LW | 31 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Topias Vilen | D | 21 | 836,667$ | 836,667$ | 836,667$ | 836,667$ | RFA | ||||
Tristan Lennox | G | 21 | 867,500$ | 867,500$ | 867,500$ | 867,500$ | RFA | ||||
Urho Vaakanainen | D | 25 | 1,200,000$ | 1,200,000$ | RFA | ||||||
Wade Allison | RW | 26 | 1,100,000$ | 1,100,000$ | RFA | ||||||
Will Zmolek | D | 25 | 920,000$ | 920,000$ | RFA |
Forward Lines | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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Goalies | |||||||
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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 | |
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Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
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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 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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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 | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,932,416$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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Name | ||
City | Syracuse | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
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 |
36 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,932,416$ | 2,932,416$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 5 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 0$ | 0$ |
Sponsors | |||
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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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