Syracuse Crunch | |
GP: 8 | W: 4 | L: 3 | OTL: 1 | P: 9 GF: 26 | GA: 23 | PP%: 0.00% | PK%: 83.33% GM : Remi Baril | Morale : 50 | Team Overall : N/A Next Games #151 vs Charlotte Checkers |
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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 | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Devin Shore | X | X | 100.00 | 70 | 37 | 95 | 65 | 79 | 77 | 80 | 63 | 81 | 66 | 60 | 64 | 62 | 72 | 73 | 54 | 50 | 0 | 0 | 30 | 3 | 1,999,999$ | |||
2 | Adam Erne | X | X | 100.00 | 81 | 71 | 86 | 65 | 80 | 79 | 84 | 63 | 64 | 62 | 61 | 73 | 63 | 71 | 72 | 62 | 50 | 0 | 0 | 29 | 2 | 1,800,000$ | |||
3 | Justin Kirkland | X | 100.00 | 70 | 39 | 84 | 63 | 80 | 78 | 75 | 59 | 71 | 61 | 58 | 60 | 62 | 68 | 70 | 56 | 50 | 0 | 0 | 28 | 1 | 700,000$ | ||||
4 | Logan Brown | X | 100.00 | 40 | 35 | 40 | 64 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 66 | 68 | 11 | 50 | 0 | 0 | 26 | 2 | 750,000$ | ||||
5 | Tyler Angle | X | 100.00 | 66 | 36 | 86 | 66 | 64 | 75 | 80 | 62 | 63 | 58 | 65 | 59 | 62 | 65 | 66 | 48 | 50 | 0 | 0 | 24 | 4 | 867,500$ | ||||
6 | Ben McCartney (R) | X | 100.00 | 62 | 43 | 63 | 58 | 71 | 78 | 76 | 57 | 61 | 59 | 56 | 55 | 58 | 63 | 65 | 49 | 50 | 0 | 0 | 23 | 2 | 830,000$ | ||||
7 | Lauri Pajuniemi (R) | X | 100.00 | 40 | 35 | 40 | 62 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 64 | 66 | 11 | 50 | 0 | 0 | 25 | 1 | 600,000$ | ||||
8 | Elmer Soderblom (R) | X | 100.00 | 84 | 41 | 92 | 60 | 99 | 81 | 79 | 62 | 58 | 59 | 64 | 63 | 61 | 63 | 65 | 49 | 50 | 0 | 0 | 23 | 1 | 842,500$ | ||||
9 | Waltteri Merela (R) | X | 100.00 | 74 | 39 | 92 | 58 | 85 | 78 | 73 | 57 | 66 | 58 | 59 | 62 | 57 | 66 | 68 | 42 | 50 | 0 | 0 | 26 | 4 | 870,000$ | ||||
10 | Dysin Mayo | X | 100.00 | 71 | 39 | 72 | 63 | 76 | 77 | 83 | 59 | 30 | 57 | 55 | 66 | 48 | 68 | 70 | 48 | 50 | 0 | 0 | 28 | 1 | 700,000$ | ||||
11 | Kodie Curran | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 34 | 1 | 1,000,000$ | ||||
12 | Michael Krutil (R) | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 22 | 1 | 600,000$ | ||||
13 | Peter DiLiberatore | X | 100.00 | 55 | 37 | 84 | 56 | 64 | 72 | 70 | 54 | 30 | 57 | 53 | 55 | 46 | 64 | 66 | 48 | 50 | 0 | 0 | 24 | 1 | 925,000$ | ||||
14 | Michael Callahan (R) | X | 100.00 | 71 | 39 | 85 | 57 | 80 | 64 | 83 | 56 | 30 | 55 | 53 | 58 | 46 | 65 | 67 | 54 | 50 | 0 | 0 | 25 | 4 | 925,000$ | ||||
15 | Eemil Viro (R) | X | 100.00 | 60 | 36 | 92 | 58 | 67 | 63 | 74 | 57 | 30 | 55 | 52 | 56 | 45 | 62 | 64 | 67 | 50 | 0 | 0 | 22 | 1 | 842,500$ | ||||
16 | Kim Nousiainen (R) | X | 100.00 | 63 | 36 | 89 | 56 | 63 | 61 | 76 | 55 | 30 | 54 | 51 | 52 | 45 | 64 | 66 | 58 | 50 | 0 | 0 | 23 | 1 | 842,500$ | ||||
17 | Uvis Balinskis | X | 100.00 | 66 | 39 | 80 | 64 | 74 | 82 | 71 | 63 | 30 | 65 | 59 | 61 | 50 | 68 | 70 | 36 | 50 | 0 | 0 | 28 | 4 | 870,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Alex Goligoski | X | 100.00 | 68 | 33 | 87 | 65 | 67 | 87 | 75 | 62 | 30 | 71 | 54 | 65 | 49 | 90 | 80 | 26 | 50 | 0 | N | 0 | 39 | 4 | 1,999,999$ | |||
TEAM AVERAGE | 100.00 | 62 | 39 | 75 | 59 | 66 | 76 | 80 | 55 | 42 | 55 | 53 | 56 | 49 | 63 | 64 | 41 | 50 | 0 |
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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Braden Holtby | 100.00 | 40 | 90 | 80 | 50 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 84 | 87 | 11 | 50 | 0 | 0 | 35 | 1 | 1,999,999$ | |
2 | Yaroslav Askarov (R) | 100.00 | 66 | 99 | 84 | 80 | 67 | 66 | 65 | 65 | 66 | 55 | 77 | 62 | 72 | 85 | 50 | 0 | 0 | 22 | 1 | 925,000$ | |
Scratches | |||||||||||||||||||||||
1 | Dustin Tokarski | 100.00 | 67 | 99 | 76 | 75 | 68 | 61 | 62 | 62 | 62 | 53 | 74 | 76 | 89 | 45 | 50 | 0 | 0 | 35 | 2 | 750,000$ | |
2 | Arvid Holm | 100.00 | 53 | 95 | 75 | 89 | 54 | 53 | 54 | 54 | 54 | 45 | 70 | 66 | 75 | 47 | 50 | 0 | 0 | 25 | 4 | 775,000$ | |
TEAM AVERAGE | 100.00 | 57 | 96 | 79 | 74 | 57 | 55 | 55 | 55 | 56 | 48 | 65 | 72 | 81 | 47 | 50 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Tyler Angle | Syracuse Crunch (TAM) | C | 8 | 8 | 2 | 10 | 9 | 2 | 0 | 14 | 20 | 40 | 17 | 27 | 20.00% | 1 | 90 | 11.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 84.71% | 85 | 0 | 0 | 0 | 1 | 2.22 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 |
2 | Peter DiLiberatore | Syracuse Crunch (TAM) | D | 8 | 2 | 5 | 7 | 0 | 2 | 0 | 15 | 8 | 15 | 4 | 4 | 13.33% | 6 | 129 | 16.21 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 1.08 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 |
3 | Eemil Viro | Syracuse Crunch (TAM) | D | 8 | 1 | 6 | 7 | 7 | 8 | 0 | 7 | 3 | 4 | 2 | 3 | 25.00% | 5 | 88 | 11.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 1.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
4 | Elmer Soderblom | Syracuse Crunch (TAM) | LW | 8 | 5 | 2 | 7 | 0 | 21 | 5 | 21 | 14 | 62 | 11 | 30 | 8.06% | 2 | 113 | 14.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 100.00% | 2 | 0 | 0 | 0 | 1 | 1.23 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 |
5 | Kim Nousiainen | Syracuse Crunch (TAM) | D | 8 | 1 | 6 | 7 | 7 | 4 | 0 | 6 | 4 | 6 | 2 | 3 | 16.67% | 7 | 88 | 11.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0% | 0 | 0 | 0 | 0 | 0 | 1.57 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
6 | Ben McCartney | Syracuse Crunch (TAM) | LW | 8 | 4 | 2 | 6 | 6 | 0 | 0 | 10 | 5 | 17 | 3 | 17 | 23.53% | 5 | 41 | 5.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 3 | 0 | 0 | 0 | 0 | 2.88 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 |
Team Total or Average | 48 | 21 | 23 | 44 | 29 | 37 | 5 | 73 | 54 | 144 | 39 | 84 | 14.58% | 26 | 553 | 11.52 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 85.56% | 90 | 0 | 0 | 0 | 2 | 1.59 | 0 | 0 | 1 | 0 | 0 | 5 | 7 | 5 |
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 |
Player Name | Team Name | POS | Age | Birthday | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
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Adam Erne | Syracuse Crunch (TAM) | LW/RW | 29 | 1995-04-20 | USA | No | 215 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,800,000$ | 1,586,598$ | 0$ | 0$ | No | 1,800,000$ | - | - | - | - | - | - | - | - | 1,800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Alex Goligoski | Syracuse Crunch (TAM) | D | 39 | 1985-07-30 | USA | No | 173 Lbs | 5 ft11 | Yes | No | Assign Manually | No | No | 4 | 2024-08-21 | False | False | Pro & Farm | 1,999,999$ | 1,762,886$ | 0$ | 0$ | No | 1,999,999$ | 1,999,999$ | 1,999,999$ | - | - | - | - | - | - | 600,000$ | 600,000$ | 600,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | |
Arvid Holm | Syracuse Crunch (TAM) | G | 25 | 1998-11-03 | SWE | No | 213 Lbs | 6 ft4 | No | No | N/A | No | No | 4 | 2024-05-19 | False | False | Pro & Farm | 775,000$ | 683,119$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | |
Ben McCartney | Syracuse Crunch (TAM) | LW | 23 | 2001-07-13 | CAN | Yes | 182 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | 2024-05-19 | False | False | Pro & Farm | 830,000$ | 731,598$ | 0$ | 0$ | No | 830,000$ | - | - | - | - | - | - | - | - | 830,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Braden Holtby | Syracuse Crunch (TAM) | G | 35 | 1989-09-16 | CAN | No | 215 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,999,999$ | 1,762,886$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Devin Shore | Syracuse Crunch (TAM) | C/RW | 30 | 1994-07-19 | CAN | No | 206 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,999,999$ | 1,762,886$ | 0$ | 0$ | No | 1,999,999$ | 1,999,999$ | - | - | - | - | - | - | - | 600,000$ | 600,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Dustin Tokarski | Syracuse Crunch (TAM) | G | 35 | 1989-09-16 | CAN | No | 198 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 661,082$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Dysin Mayo | Syracuse Crunch (TAM) | D | 28 | 1996-08-17 | CAN | No | 183 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 617,010$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Eemil Viro | Syracuse Crunch (TAM) | D | 22 | 2002-04-03 | FIN | Yes | 165 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 842,500$ | 742,616$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Elmer Soderblom | Syracuse Crunch (TAM) | LW | 23 | 2001-07-05 | SWE | Yes | 246 Lbs | 6 ft8 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 842,500$ | 742,616$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Justin Kirkland | Syracuse Crunch (TAM) | LW | 28 | 1996-08-02 | CAN | No | 183 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 617,010$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Kim Nousiainen | Syracuse Crunch (TAM) | D | 23 | 2000-11-14 | FIN | Yes | 170 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 842,500$ | 742,616$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Kodie Curran | Syracuse Crunch (TAM) | D | 34 | 1989-12-18 | CAN | No | 200 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,000,000$ | 881,443$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Lauri Pajuniemi | Syracuse Crunch (TAM) | RW | 25 | 1999-09-12 | FIN | Yes | 196 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 1 | 2024-08-18 | False | False | Pro & Farm | 600,000$ | 528,866$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Logan Brown | Syracuse Crunch (TAM) | C | 26 | 1998-03-05 | USA | No | 218 Lbs | 6 ft6 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 661,082$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Michael Callahan | Syracuse Crunch (TAM) | D | 25 | 1999-09-23 | USA | Yes | 197 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 4 | 2024-08-18 | False | False | Pro & Farm | 925,000$ | 815,335$ | 0$ | 0$ | No | 925,000$ | 925,000$ | 925,000$ | - | - | - | - | - | - | 600,000$ | 600,000$ | 600,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | |
Michael Krutil | Syracuse Crunch (TAM) | D | 22 | 2002-06-03 | CZE | Yes | 202 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 1 | 2024-08-18 | False | False | Pro & Farm | 600,000$ | 528,866$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Peter DiLiberatore | Syracuse Crunch (TAM) | D | 24 | 2000-03-31 | CAN | No | 160 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 815,335$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Tyler Angle | Syracuse Crunch (TAM) | C | 24 | 2000-09-30 | CAN | No | 166 Lbs | 5 ft10 | No | No | N/A | No | No | 4 | 2024-05-19 | False | False | Pro & Farm | 867,500$ | 764,652$ | 0$ | 0$ | No | 867,500$ | 867,500$ | 867,500$ | - | - | - | - | - | - | 867,500$ | 867,500$ | 867,500$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | |
Uvis Balinskis | Syracuse Crunch (TAM) | D | 28 | 1996-08-01 | LVA | No | 196 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 4 | 2024-08-18 | False | False | Pro & Farm | 870,000$ | 766,856$ | 0$ | 0$ | No | 870,000$ | 870,000$ | 870,000$ | - | - | - | - | - | - | 600,000$ | 600,000$ | 600,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | |
Waltteri Merela | Syracuse Crunch (TAM) | C | 26 | 1998-07-06 | FIN | Yes | 210 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 4 | 2024-08-18 | False | False | Pro & Farm | 870,000$ | 766,856$ | 0$ | 0$ | No | 870,000$ | 870,000$ | 870,000$ | - | - | - | - | - | - | 600,000$ | 600,000$ | 600,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | |
Yaroslav Askarov | Syracuse Crunch (TAM) | G | 22 | 2002-06-16 | RUS | Yes | 178 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 815,335$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
22 | 27.09 | 194 Lbs | 6 ft1 | 2.09 | 1,018,864$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 38 | 1 | 2 | 2 | |||
2 | Elmer Soderblom | 30 | 1 | 2 | 2 | ||
3 | Tyler Angle | 22 | 1 | 2 | 2 | ||
4 | Ben McCartney | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 38 | 1 | 2 | 2 | |||
2 | Peter DiLiberatore | 30 | 1 | 2 | 2 | ||
3 | Kim Nousiainen | Eemil Viro | 22 | 1 | 2 | 2 | |
4 | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | Elmer Soderblom | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | Peter DiLiberatore | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Peter DiLiberatore | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | Peter DiLiberatore | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Peter DiLiberatore | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, Tyler Angle, | , Tyler Angle |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Kim Nousiainen, Eemil Viro, | Kim Nousiainen | Eemil Viro, |
Penalty Shots |
---|
, , , , |
Goalie |
---|
#1 : , #2 : |
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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
1 | Charlotte Checkers | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 11 | 5 | 10 | 0 | 83 | 93 | 108 | 112 | 0 | 47 | 18 | 7 | 45 | 4 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 122 | 215 | 56.74% | 75 | 167 | 44.91% | 69 | 127 | 54.33% | 237 | 186 | 157 | 43 | 85 | 45 |
2 | Hartford Wolf Pack | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 7 | 9 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 7 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1.000 | 16 | 25 | 41 | 0 | 0 | 11 | 5 | 10 | 0 | 143 | 93 | 108 | 112 | 0 | 60 | 19 | 29 | 65 | 3 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 122 | 215 | 56.74% | 75 | 167 | 44.91% | 69 | 127 | 54.33% | 237 | 186 | 157 | 43 | 85 | 45 |
3 | Hershey Bears | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 11 | 5 | 10 | 0 | 40 | 93 | 108 | 112 | 0 | 38 | 9 | 4 | 16 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 122 | 215 | 56.74% | 75 | 167 | 44.91% | 69 | 127 | 54.33% | 237 | 186 | 157 | 43 | 85 | 45 |
4 | Providence Bruins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 11 | 5 | 10 | 0 | 42 | 93 | 108 | 112 | 0 | 29 | 13 | 6 | 18 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 122 | 215 | 56.74% | 75 | 167 | 44.91% | 69 | 127 | 54.33% | 237 | 186 | 157 | 43 | 85 | 45 |
5 | Rochester Americans | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 10 | 0 | 5 | 93 | 108 | 112 | 0 | 40 | 13 | 10 | 13 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 122 | 215 | 56.74% | 75 | 167 | 44.91% | 69 | 127 | 54.33% | 237 | 186 | 157 | 43 | 85 | 45 |
Total | 8 | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 26 | 23 | 3 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 22 | 11 | 11 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 4 | 12 | -8 | 9 | 0.563 | 26 | 43 | 69 | 1 | 0 | 11 | 5 | 10 | 0 | 313 | 93 | 108 | 112 | 0 | 214 | 72 | 56 | 157 | 12 | 0 | 0.00% | 18 | 3 | 83.33% | 0 | 122 | 215 | 56.74% | 75 | 167 | 44.91% | 69 | 127 | 54.33% | 237 | 186 | 157 | 43 | 85 | 45 | |
_Since Last GM Reset | 8 | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 26 | 23 | 3 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 22 | 11 | 11 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 4 | 12 | -8 | 9 | 0.563 | 26 | 43 | 69 | 1 | 0 | 11 | 5 | 10 | 0 | 313 | 93 | 108 | 112 | 0 | 214 | 72 | 56 | 157 | 12 | 0 | 0.00% | 18 | 3 | 83.33% | 0 | 122 | 215 | 56.74% | 75 | 167 | 44.91% | 69 | 127 | 54.33% | 237 | 186 | 157 | 43 | 85 | 45 | |
_Vs Conference | 8 | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 26 | 23 | 3 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 22 | 11 | 11 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 4 | 12 | -8 | 9 | 0.563 | 26 | 43 | 69 | 1 | 0 | 11 | 5 | 10 | 0 | 313 | 93 | 108 | 112 | 0 | 214 | 72 | 56 | 157 | 12 | 0 | 0.00% | 18 | 3 | 83.33% | 0 | 122 | 215 | 56.74% | 75 | 167 | 44.91% | 69 | 127 | 54.33% | 237 | 186 | 157 | 43 | 85 | 45 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
8 | 9 | L1 | 26 | 43 | 69 | 313 | 214 | 72 | 56 | 157 | 1 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
8 | 4 | 3 | 0 | 1 | 0 | 0 | 26 | 23 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 4 | 1 | 0 | 0 | 0 | 0 | 22 | 11 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 0 | 2 | 0 | 1 | 0 | 0 | 4 | 12 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
4 | 3 | 0 | 1 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
12 | 0 | 0.00% | 18 | 3 | 83.33% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
93 | 108 | 112 | 0 | 11 | 5 | 10 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
122 | 215 | 56.74% | 75 | 167 | 44.91% | 69 | 127 | 54.33% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
237 | 186 | 157 | 43 | 85 | 45 |
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 |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 9,448 | 4,780 |
Attendance PCT | 94.48% | 95.60% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
31 | 2846 - 94.85% | 94,962$ | 474,809$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
275,759$ | 2,241,500$ | 1,589,750$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
11,554$ | 275,759$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
2,943,816$ | 171 | 11,554$ | 1,975,734$ |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|