Tucson Roadrunners | |
GP: 10 | W: 3 | L: 7 | OTL: 0 | P: 6 GF: 20 | GA: 42 | PP%: 12.50% | PK%: 76.47% GM : Alexandre Champoux | Morale : 50 | Team Overall : N/A Next Games #169 vs San Jose Barracuda |
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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 | Phil Kessel | X | X | 100.00 | 40 | 35 | 40 | 78 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 90 | 76 | 11 | 50 | 0 | 0 | 36 | 2 | 1,500,000$ | |||
2 | Brendan Leipsic | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 30 | 1 | 700,000$ | ||||
3 | Zac Dalpe | X | X | X | 100.00 | 71 | 39 | 82 | 66 | 80 | 86 | 84 | 63 | 65 | 61 | 64 | 60 | 66 | 75 | 79 | 38 | 46 | 0 | 0 | 34 | 1 | 800,000$ | ||
4 | Jean-Sebastien Dea | X | 100.00 | 40 | 35 | 40 | 63 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 69 | 71 | 11 | 50 | 0 | 0 | 30 | 1 | 700,000$ | ||||
5 | Samuel Henley | X | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 31 | 1 | 1,999,999$ | |||
6 | Zach Nastasiuk | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 29 | 2 | 750,000$ | ||||
7 | Adam Helewka | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 29 | 2 | 750,000$ | ||||
8 | Otto Somppi | X | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 26 | 2 | 750,000$ | |||
9 | Brayden Burke (R) | X | X | 100.00 | 40 | 35 | 40 | 61 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 66 | 68 | 11 | 50 | 0 | 0 | 27 | 1 | 900,000$ | |||
10 | Semyon Der-Arguchintsev | X | 100.00 | 40 | 35 | 40 | 65 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 63 | 65 | 11 | 50 | 0 | 0 | 24 | 1 | 750,000$ | ||||
11 | Dmitri Voronkov (R) | X | X | 100.00 | 83 | 45 | 78 | 68 | 97 | 82 | 74 | 69 | 75 | 65 | 67 | 63 | 68 | 64 | 65 | 58 | 47 | 0 | 0 | 24 | 1 | 925,000$ | |||
12 | Matt Coronato (R) | X | 100.00 | 58 | 36 | 90 | 71 | 70 | 86 | 74 | 68 | 70 | 69 | 63 | 64 | 71 | 62 | 66 | 85 | 47 | 0 | 0 | 21 | 1 | 925,000$ | ||||
13 | Derrick Pouliot | X | 100.00 | 70 | 39 | 71 | 66 | 78 | 83 | 81 | 65 | 30 | 67 | 58 | 62 | 52 | 71 | 72 | 69 | 47 | 0 | 0 | 30 | 4 | 775,000$ | ||||
14 | Adam Clendening | X | 100.00 | 40 | 35 | 40 | 59 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 71 | 73 | 11 | 50 | 0 | 0 | 31 | 1 | 700,000$ | ||||
15 | Zachary Leslie | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 30 | 1 | 700,000$ | ||||
16 | Louie Belpedio | X | 100.00 | 66 | 41 | 69 | 64 | 72 | 80 | 82 | 63 | 30 | 66 | 65 | 67 | 53 | 68 | 69 | 53 | 50 | 0 | 0 | 28 | 3 | 750,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Nick Seeler | X | 100.00 | 76 | 67 | 73 | 63 | 83 | 86 | 88 | 61 | 30 | 70 | 56 | 84 | 49 | 72 | 71 | 45 | 43 | 0 | 0 | 31 | 5 | 800,000$ | ||||
2 | Jack St. Ivany (R) | X | 100.00 | 73 | 39 | 84 | 62 | 83 | 77 | 85 | 58 | 30 | 60 | 55 | 66 | 49 | 65 | 67 | 58 | 50 | 0 | 0 | 25 | 1 | 845,000$ | ||||
TEAM AVERAGE | 100.00 | 52 | 38 | 55 | 57 | 53 | 81 | 87 | 49 | 31 | 50 | 48 | 50 | 41 | 55 | 55 | 29 | 49 | 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 | Kenneth Appleby | 100.00 | 56 | 95 | 70 | 93 | 57 | 60 | 60 | 60 | 60 | 50 | 67 | 69 | 83 | 36 | 50 | 0 | 0 | 29 | 1 | 750,000$ | |
2 | Jesper Wallstedt (R) | 100.00 | 62 | 99 | 82 | 86 | 63 | 63 | 63 | 63 | 63 | 53 | 76 | 62 | 70 | 82 | 47 | 0 | 0 | 21 | 1 | 925,000$ | |
3 | Drew Commesso (R) | 100.00 | 64 | 95 | 73 | 77 | 65 | 60 | 60 | 60 | 60 | 50 | 76 | 62 | 69 | 74 | 47 | 0 | 0 | 22 | 1 | 925,000$ | |
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 61 | 96 | 75 | 85 | 62 | 61 | 61 | 61 | 61 | 51 | 73 | 64 | 74 | 64 | 48 | 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 | Brayden Burke | Tucson Roadrunners (UHC) | C/RW | 10 | 5 | 3 | 8 | -1 | 5 | 5 | 27 | 20 | 39 | 20 | 41 | 12.82% | 15 | 159 | 15.93 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 1.00 | 1 | 2 | 0 | 1 | 0 | 0 | 1 | 1 |
Team Total or Average | 10 | 5 | 3 | 8 | -1 | 5 | 5 | 27 | 20 | 39 | 20 | 41 | 12.82% | 15 | 159 | 15.93 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 1.00 | 1 | 2 | 0 | 1 | 0 | 0 | 1 | 1 |
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 |
---|
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 Clendening | Tucson Roadrunners (UHC) | D | 31 | 1992-10-26 | USA | No | 194 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 617,010$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Adam Helewka | Tucson Roadrunners (UHC) | LW | 29 | 1995-07-21 | CAN | No | 200 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 661,082$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Brayden Burke | Tucson Roadrunners (UHC) | C/RW | 27 | 1997-01-01 | CAN | Yes | 165 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 900,000$ | 793,299$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Brendan Leipsic | Tucson Roadrunners (UHC) | LW | 30 | 1994-05-19 | CAN | No | 180 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 617,010$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Derrick Pouliot | Tucson Roadrunners (UHC) | D | 30 | 1994-01-16 | CAN | No | 204 Lbs | 6 ft1 | No | No | Trade | 2024-02-02 | 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 |
Dmitri Voronkov | Tucson Roadrunners (UHC) | C/LW | 24 | 2000-09-10 | RUS | Yes | 240 Lbs | 6 ft5 | No | No | Assign Manually | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 925,000$ | 815,335$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Drew Commesso | Tucson Roadrunners (UHC) | G | 22 | 2002-07-19 | USA | Yes | 180 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 925,000$ | 815,335$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Jack St. Ivany | Tucson Roadrunners (UHC) | D | 25 | 1999-07-22 | USA | Yes | 198 Lbs | 6 ft3 | No | No | Trade | 2024-06-01 | No | No | 1 | False | False | Pro & Farm | 845,000$ | 744,820$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Jean-Sebastien Dea | Tucson Roadrunners (UHC) | C | 30 | 1994-02-08 | CAN | No | 174 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 617,010$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Jesper Wallstedt | Tucson Roadrunners (UHC) | G | 21 | 2002-11-14 | SWE | Yes | 214 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 925,000$ | 815,335$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Kenneth Appleby | Tucson Roadrunners (UHC) | G | 29 | 1995-04-10 | CAN | No | 216 Lbs | 6 ft5 | No | No | Trade | 2024-05-31 | No | No | 1 | False | False | Pro & Farm | 750,000$ | 661,082$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Louie Belpedio | Tucson Roadrunners (UHC) | D | 28 | 1996-05-14 | USA | No | 197 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 750,000$ | 661,082$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Matt Coronato | Tucson Roadrunners (UHC) | RW | 21 | 2002-11-14 | USA | Yes | 183 Lbs | 5 ft10 | No | No | Assign Manually | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 925,000$ | 815,335$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Nick Seeler | Tucson Roadrunners (UHC) | D | 31 | 1993-06-03 | USA | No | 197 Lbs | 6 ft3 | No | No | N/A | No | No | 5 | 2024-05-19 | False | False | Pro & Farm | 800,000$ | 705,155$ | 0$ | 0$ | No | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Link | |
Otto Somppi | Tucson Roadrunners (UHC) | C/RW | 26 | 1998-01-12 | FIN | No | 192 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 661,082$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Phil Kessel | Tucson Roadrunners (UHC) | C/RW | 36 | 1988-07-27 | USA | No | 208 Lbs | 5 ft11 | No | No | Trade | 2024-02-02 | No | No | 2 | False | False | Pro & Farm | 1,500,000$ | 1,322,165$ | 0$ | 0$ | No | 1,500,000$ | - | - | - | - | - | - | - | - | 1,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Samuel Henley | Tucson Roadrunners (UHC) | C/LW | 31 | 1993-07-25 | CAN | No | 209 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,999,999$ | 1,762,886$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Semyon Der-Arguchintsev | Tucson Roadrunners (UHC) | C | 24 | 2000-09-15 | RUS | No | 173 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 661,082$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Zac Dalpe | Tucson Roadrunners (UHC) | C/LW/RW | 34 | 1989-11-01 | CAN | No | 197 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 705,155$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Zach Nastasiuk | Tucson Roadrunners (UHC) | RW | 29 | 1995-03-30 | CAN | No | 202 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 661,082$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Zachary Leslie | Tucson Roadrunners (UHC) | D | 30 | 1994-01-31 | CAN | No | 175 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 617,010$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
21 | 28.00 | 195 Lbs | 6 ft1 | 1.62 | 886,667$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 38 | 1 | 2 | 2 | |||
2 | Brayden Burke | 30 | 1 | 2 | 2 | ||
3 | 22 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 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 | Brayden Burke | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | 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 | 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 | 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 | 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 |
, , | , |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
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Penalty Shots |
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Goalie |
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#1 : , #2 : |
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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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 | Bridgeport Islanders | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 7 | 7 | 4 | 3 | 32 | 86 | 92 | 83 | 18 | 44 | 9 | 2 | 25 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 101 | 230 | 43.91% | 118 | 276 | 42.75% | 67 | 147 | 45.58% | 177 | 123 | 322 | 65 | 110 | 48 |
2 | Calgary Wranglers | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 7 | 7 | 4 | 3 | 41 | 86 | 92 | 83 | 18 | 43 | 10 | 4 | 33 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 101 | 230 | 43.91% | 118 | 276 | 42.75% | 67 | 147 | 45.58% | 177 | 123 | 322 | 65 | 110 | 48 |
3 | Cleveland Monsters | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 7 | 7 | 4 | 3 | 27 | 86 | 92 | 83 | 18 | 56 | 11 | 6 | 16 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 101 | 230 | 43.91% | 118 | 276 | 42.75% | 67 | 147 | 45.58% | 177 | 123 | 322 | 65 | 110 | 48 |
4 | Grand Rapids Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 7 | 7 | 4 | 3 | 27 | 86 | 92 | 83 | 18 | 40 | 11 | 4 | 15 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 101 | 230 | 43.91% | 118 | 276 | 42.75% | 67 | 147 | 45.58% | 177 | 123 | 322 | 65 | 110 | 48 |
5 | Henderson Silver Knights | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 7 | 7 | 4 | 3 | 12 | 86 | 92 | 83 | 18 | 50 | 14 | 6 | 13 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 101 | 230 | 43.91% | 118 | 276 | 42.75% | 67 | 147 | 45.58% | 177 | 123 | 322 | 65 | 110 | 48 |
6 | Ontario Reign | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 15 | -14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 7 | 7 | 4 | 3 | 62 | 86 | 92 | 83 | 18 | 138 | 57 | 17 | 76 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 101 | 230 | 43.91% | 118 | 276 | 42.75% | 67 | 147 | 45.58% | 177 | 123 | 322 | 65 | 110 | 48 |
7 | Providence Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 7 | 7 | 4 | 3 | 28 | 86 | 92 | 83 | 18 | 58 | 13 | 5 | 18 | 3 | 1 | 33.33% | 0 | 0 | 0% | 0 | 101 | 230 | 43.91% | 118 | 276 | 42.75% | 67 | 147 | 45.58% | 177 | 123 | 322 | 65 | 110 | 48 |
8 | San Diego Gulls | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 7 | 7 | 4 | 3 | 40 | 86 | 92 | 83 | 18 | 58 | 17 | 2 | 37 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 101 | 230 | 43.91% | 118 | 276 | 42.75% | 67 | 147 | 45.58% | 177 | 123 | 322 | 65 | 110 | 48 |
Total | 10 | 1 | 7 | 0 | 0 | 0 | 2 | 0 | 20 | 42 | -22 | 5 | 1 | 3 | 0 | 0 | 0 | 1 | 0 | 11 | 19 | -8 | 5 | 0 | 4 | 0 | 0 | 0 | 1 | 0 | 9 | 23 | -14 | 6 | 0.300 | 20 | 33 | 53 | 1 | 0 | 7 | 7 | 4 | 3 | 269 | 86 | 92 | 83 | 18 | 487 | 142 | 46 | 233 | 16 | 2 | 12.50% | 17 | 4 | 76.47% | 0 | 101 | 230 | 43.91% | 118 | 276 | 42.75% | 67 | 147 | 45.58% | 177 | 123 | 322 | 65 | 110 | 48 | |
_Since Last GM Reset | 10 | 1 | 7 | 0 | 0 | 0 | 2 | 0 | 20 | 42 | -22 | 5 | 1 | 3 | 0 | 0 | 0 | 1 | 0 | 11 | 19 | -8 | 5 | 0 | 4 | 0 | 0 | 0 | 1 | 0 | 9 | 23 | -14 | 6 | 0.300 | 20 | 33 | 53 | 1 | 0 | 7 | 7 | 4 | 3 | 269 | 86 | 92 | 83 | 18 | 487 | 142 | 46 | 233 | 16 | 2 | 12.50% | 17 | 4 | 76.47% | 0 | 101 | 230 | 43.91% | 118 | 276 | 42.75% | 67 | 147 | 45.58% | 177 | 123 | 322 | 65 | 110 | 48 | |
_Vs Conference | 8 | 1 | 5 | 0 | 0 | 0 | 2 | 0 | 15 | 32 | -17 | 5 | 1 | 3 | 0 | 0 | 0 | 1 | 0 | 11 | 19 | -8 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 4 | 13 | -9 | 6 | 0.375 | 15 | 24 | 39 | 1 | 0 | 7 | 7 | 4 | 3 | 209 | 86 | 92 | 83 | 18 | 385 | 120 | 39 | 190 | 12 | 1 | 8.33% | 16 | 3 | 81.25% | 0 | 101 | 230 | 43.91% | 118 | 276 | 42.75% | 67 | 147 | 45.58% | 177 | 123 | 322 | 65 | 110 | 48 |
Total For Players | ||||||||||||
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Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
10 | 6 | L2 | 20 | 33 | 53 | 269 | 487 | 142 | 46 | 233 | 1 | 0 |
All Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
10 | 1 | 7 | 0 | 0 | 2 | 0 | 20 | 42 |
Home Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 1 | 3 | 0 | 0 | 1 | 0 | 11 | 19 |
Visitor Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 0 | 4 | 0 | 0 | 1 | 0 | 9 | 23 |
Last 10 Games | |||||
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W | L | OTW | OTL | SOW | SOL |
1 | 7 | 0 | 0 | 2 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
16 | 2 | 12.50% | 17 | 4 | 76.47% | 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 |
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86 | 92 | 83 | 18 | 7 | 7 | 4 | 3 |
Face Offs | ||||||||
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Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
101 | 230 | 43.91% | 118 | 276 | 42.75% | 67 | 147 | 45.58% |
Puck Time | |||||
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In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
177 | 123 | 322 | 65 | 110 | 48 |
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 - % | ||
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Level 1 | Level 2 | |
Capacity | 2000 | 1000 |
Ticket Price | 30 | 15 |
Attendance | 9,820 | 4,833 |
Attendance PCT | 98.20% | 96.66% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
31 | 2931 - 97.69% | 86,634$ | 433,172$ | 3000 | 100 |
Expenses | |||
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Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
213,499$ | 1,862,000$ | 1,532,500$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
9,598$ | 213,499$ | 0 | 0 |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
2,685,666$ | 171 | 9,598$ | 1,641,258$ |
# | 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 |
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