Wolves | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Aaron | Morale : 1 | Team Overall : 57 |
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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 | Jack Finley | 0 | X | 100.00 | 50 | 50 | 75 | 51 | 92 | 60 | 60 | 62 | 40 | 65 | 65 | 62 | 63 | 50 | 60 | 0 | 15 | 58 | 0 | 22 | 2 | 875,000$ | ||||
2 | Kyle Criscuolo | 0 | X | 100.00 | 50 | 39 | 75 | 60 | 76 | 60 | 60 | 62 | 40 | 65 | 65 | 62 | 63 | 50 | 60 | 0 | 11 | 58 | 0 | 32 | 1 | 775,000$ | ||||
3 | Tyler Angle | 0 | X | 100.00 | 50 | 37 | 83 | 64 | 75 | 71 | 60 | 58 | 52 | 62 | 63 | 62 | 62 | 50 | 60 | 0 | 13 | 58 | 0 | 24 | 2 | 900,000$ | ||||
4 | Steven Fogarty | 0 | X | 100.00 | 50 | 46 | 75 | 54 | 86 | 60 | 60 | 60 | 40 | 63 | 65 | 62 | 63 | 50 | 60 | 0 | 15 | 58 | 0 | 31 | 1 | 775,000$ | ||||
5 | Otto Koivula | 0 | X | 99.00 | 50 | 51 | 75 | 50 | 92 | 60 | 60 | 62 | 40 | 66 | 63 | 62 | 62 | 50 | 60 | 0 | 9 | 58 | 0 | 26 | 1 | 775,000$ | ||||
6 | Tyler Tullio | 0 | X | 100.00 | 50 | 40 | 75 | 57 | 78 | 60 | 60 | 58 | 40 | 62 | 62 | 62 | 61 | 50 | 60 | 0 | 10 | 57 | 0 | 22 | 2 | 875,000$ | ||||
7 | Lucas Condotta | 0 | X | 100.00 | 50 | 51 | 83 | 52 | 89 | 70 | 60 | 56 | 58 | 62 | 61 | 60 | 61 | 50 | 60 | 0 | 13 | 57 | 0 | 27 | 2 | 800,000$ | ||||
8 | Reece Newkirk | 0 | X | 100.00 | 50 | 41 | 75 | 55 | 79 | 60 | 60 | 55 | 40 | 61 | 61 | 62 | 61 | 50 | 60 | 0 | 14 | 56 | 0 | 23 | 1 | 750,000$ | ||||
9 | Henri Nikkanen | 0 | X | 100.00 | 50 | 49 | 75 | 49 | 89 | 60 | 60 | 55 | 40 | 60 | 61 | 62 | 61 | 50 | 60 | 0 | 15 | 56 | 0 | 23 | 1 | 875,000$ | ||||
10 | Aaron Luchuk (R) | 0 | X | X | X | 100.00 | 50 | 42 | 75 | 54 | 79 | 60 | 60 | 56 | 40 | 61 | 61 | 62 | 61 | 50 | 60 | 0 | 18 | 56 | 0 | 27 | 1 | 775,000$ | ||
11 | Andrew Welinski | 0 | X | 99.00 | 50 | 45 | 75 | 52 | 84 | 60 | 60 | 72 | 20 | 62 | 61 | 68 | 61 | 50 | 60 | 0 | 9 | 59 | 0 | 31 | 1 | 775,000$ | ||||
12 | Adam Brubacher | 0 | X | 100.00 | 50 | 46 | 75 | 50 | 87 | 60 | 60 | 71 | 20 | 60 | 61 | 68 | 61 | 50 | 60 | 0 | 22 | 59 | 0 | 29 | 1 | 775,000$ | ||||
13 | Filip Johansson (R) | 0 | X | 100.00 | 50 | 39 | 75 | 57 | 79 | 60 | 60 | 73 | 20 | 62 | 62 | 68 | 61 | 50 | 60 | 0 | 10 | 59 | 0 | 24 | 1 | 875,000$ | ||||
14 | Matt Irwin | 0 | X | 100.00 | 50 | 45 | 75 | 52 | 84 | 60 | 60 | 72 | 20 | 61 | 61 | 68 | 61 | 50 | 60 | 0 | 15 | 59 | 0 | 37 | 1 | 1,000,000$ | ||||
15 | Alex Kannok-Leipert | 0 | X | 100.00 | 50 | 45 | 75 | 51 | 84 | 60 | 60 | 69 | 20 | 60 | 59 | 68 | 60 | 50 | 60 | 0 | 11 | 58 | 0 | 24 | 2 | 950,000$ | ||||
Scratches | ||||||||||||||||||||||||||||||
1 | Benjamin Jones | 0 | X | 97.00 | 50 | 43 | 75 | 57 | 82 | 60 | 60 | 61 | 40 | 64 | 66 | 62 | 63 | 50 | 60 | 0 | 12 | 58 | 0 | 25 | 1 | 775,000$ | ||||
2 | Adam Brooks | 0 | X | 98.00 | 50 | 41 | 75 | 57 | 79 | 60 | 60 | 60 | 40 | 63 | 65 | 62 | 63 | 50 | 60 | 0 | 11 | 58 | 0 | 28 | 1 | 775,000$ | ||||
3 | Mikhail Maltsev | 0 | X | 98.00 | 50 | 45 | 75 | 56 | 85 | 60 | 60 | 62 | 40 | 66 | 63 | 62 | 62 | 50 | 60 | 0 | 9 | 58 | 0 | 26 | 1 | 775,000$ | ||||
4 | Jonathan Dugan | 0 | X | 100.00 | 50 | 47 | 75 | 51 | 86 | 60 | 60 | 57 | 40 | 63 | 61 | 62 | 61 | 50 | 60 | 0 | 14 | 56 | 0 | 26 | 1 | 775,000$ | ||||
5 | Aaron Aragon (R) | 0 | X | X | X | 100.00 | 50 | 41 | 75 | 54 | 78 | 60 | 60 | 53 | 40 | 59 | 60 | 62 | 60 | 50 | 60 | 0 | 19 | 55 | 0 | 27 | 1 | 775,000$ | ||
6 | Cameron Gaunce | 0 | X | 93.23 | 50 | 44 | 75 | 53 | 82 | 60 | 60 | 71 | 20 | 61 | 60 | 68 | 60 | 50 | 60 | 0 | 11 | 59 | 0 | 34 | 1 | 775,000$ | ||||
TEAM AVERAGE | 99.25 | 50 | 44 | 76 | 54 | 83 | 61 | 60 | 62 | 36 | 62 | 62 | 64 | 61 | 50 | 60 | 0 | 13 | 58 |
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 | Cale Morris | 0 | 100.00 | 52 | 60 | 57 | 84 | 56 | 56 | 53 | 57 | 56 | 53 | 55 | 76 | 71 | 0 | 19 | 59 | 0 | 28 | 1 | 775,000$ | |
2 | Erik Kallgren | 0 | 100.00 | 41 | 54 | 51 | 87 | 46 | 45 | 45 | 46 | 46 | 42 | 44 | 76 | 71 | 0 | 19 | 52 | 0 | 28 | 1 | 1,000,000$ | |
Scratches | ||||||||||||||||||||||||
1 | Gage Alexander | 0 | 100.00 | 34 | 55 | 52 | 90 | 38 | 39 | 37 | 39 | 39 | 35 | 37 | 66 | 66 | 0 | 20 | 47 | 0 | 22 | 2 | 875,000$ | |
TEAM AVERAGE | 100.00 | 42 | 56 | 53 | 87 | 47 | 47 | 45 | 47 | 47 | 43 | 45 | 73 | 69 | 0 | 19 | 53 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jeff Blashill | 75 | 75 | 75 | 75 | 75 | 75 | 75 | USA | 51 | 6 | 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 |
# | 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 |
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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 |
---|
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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Aaron Aragon | Wolves (CAR) | C/LW/RW | 27 | 1997-07-31 | USA | Yes | 185 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 719,643$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Aaron Luchuk | Wolves (CAR) | C/LW/RW | 27 | 1997-04-05 | CAN | Yes | 188 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 719,643$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Adam Brooks | Wolves (CAR) | C | 28 | 1996-05-06 | CAN | No | 185 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 719,643$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Adam Brubacher | Wolves (CAR) | D | 29 | 1995-12-13 | CAN | No | 205 Lbs | 6 ft4 | No | No | Free Agent | No | No | 1 | 2025-04-02 | False | False | Pro & Farm | 775,000$ | 719,643$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Alex Kannok-Leipert | Wolves (CAR) | D | 24 | 2000-07-20 | CAN | No | 200 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 950,000$ | 882,143$ | 0$ | 0$ | No | 950,000$ | - | - | - | - | - | - | - | - | 950,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Andrew Welinski | Wolves (CAR) | D | 31 | 1993-04-27 | USA | No | 200 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 719,643$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Benjamin Jones | Wolves (CAR) | C | 25 | 1999-02-26 | CAN | No | 190 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 719,643$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Cale Morris | Wolves (CAR) | G | 28 | 1996-05-22 | USA | No | 193 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 719,643$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Cameron Gaunce | Wolves (CAR) | D | 34 | 1990-03-19 | CAN | No | 194 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 719,643$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Erik Kallgren (1 Way Contract) | Wolves (CAR) | G | 28 | 1996-10-14 | SWE | No | 200 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,000,000$ | 928,571$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Filip Johansson (Out of Payroll) | Wolves (CAR) | D | 24 | 2000-03-23 | SWE | Yes | 176 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 875,000$ | 812,500$ | 0$ | 0$ | Yes | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Gage Alexander | Wolves (CAR) | G | 22 | 2002-07-02 | CAN | No | 205 Lbs | 6 ft6 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 875,000$ | 812,500$ | 0$ | 0$ | No | 875,000$ | - | - | - | - | - | - | - | - | 875,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Henri Nikkanen | Wolves (CAR) | C | 23 | 2001-04-28 | FIN | No | 215 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 875,000$ | 812,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jack Finley | Wolves (CAR) | C | 22 | 2002-09-02 | CAN | No | 221 Lbs | 6 ft6 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 875,000$ | 812,500$ | 0$ | 0$ | No | 875,000$ | - | - | - | - | - | - | - | - | 875,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Jonathan Dugan | Wolves (CAR) | LW | 26 | 1998-03-24 | USA | No | 209 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 719,643$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Kyle Criscuolo | Wolves (CAR) | C | 32 | 1992-05-05 | USA | No | 175 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 719,643$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Lucas Condotta | Wolves (CAR) | C | 27 | 1997-06-19 | CAN | No | 223 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 800,000$ | 742,857$ | 0$ | 0$ | No | 800,000$ | - | - | - | - | - | - | - | - | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Matt Irwin | Wolves (CAR) | D | 37 | 1987-11-29 | CAN | No | 200 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,000,000$ | 928,571$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Mikhail Maltsev | Wolves (CAR) | LW | 26 | 1998-03-12 | RUS | No | 198 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 719,643$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Otto Koivula | Wolves (CAR) | LW | 26 | 1998-09-01 | FIN | No | 225 Lbs | 6 ft5 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 719,643$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Reece Newkirk | Wolves (CAR) | C | 23 | 2001-02-20 | CAN | No | 182 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 696,429$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Steven Fogarty | Wolves (CAR) | C | 31 | 1993-04-19 | USA | No | 204 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 719,643$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Tyler Angle | Wolves (CAR) | C | 24 | 2000-09-30 | CAN | No | 166 Lbs | 5 ft10 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 900,000$ | 835,714$ | 0$ | 0$ | No | 900,000$ | - | - | - | - | - | - | - | - | 900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Tyler Tullio | Wolves (CAR) | RW | 22 | 2002-04-05 | CAN | No | 180 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 875,000$ | 812,500$ | 0$ | 0$ | No | 875,000$ | - | - | - | - | - | - | - | - | 875,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
24 | 26.92 | 197 Lbs | 6 ft1 | 1.25 | 827,083$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Tyler Angle | Otto Koivula | 40 | 1 | 2 | 2 | |
2 | Jack Finley | 30 | 1 | 2 | 2 | ||
3 | Steven Fogarty | Tyler Angle | 20 | 1 | 2 | 2 | |
4 | Steven Fogarty | Tyler Angle | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Andrew Welinski | Adam Brubacher | 40 | 1 | 2 | 2 | |
2 | Matt Irwin | Filip Johansson | 30 | 1 | 2 | 2 | |
3 | Alex Kannok-Leipert | Matt Irwin | 20 | 1 | 2 | 2 | |
4 | Filip Johansson | Matt Irwin | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Steven Fogarty | 60 | 1 | 2 | 2 | ||
2 | Tyler Angle | Jack Finley | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Andrew Welinski | Adam Brubacher | 60 | 1 | 2 | 2 | |
2 | Matt Irwin | Filip Johansson | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Steven Fogarty | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Alex Kannok-Leipert | Andrew Welinski | 60 | 1 | 2 | 2 |
2 | Matt Irwin | Filip Johansson | 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 | Alex Kannok-Leipert | Andrew Welinski | 60 | 1 | 2 | 2 | |
2 | 40 | 1 | 2 | 2 | Matt Irwin | Filip Johansson | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Steven Fogarty | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Andrew Welinski | Alex Kannok-Leipert | 60 | 1 | 2 | 2 |
2 | Matt Irwin | Filip Johansson | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Jack Finley | Andrew Welinski | Matt Irwin |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Jack Finley | Andrew Welinski | Matt Irwin |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Steven Fogarty, , Lucas Condotta | Steven Fogarty, | Lucas Condotta |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Alex Kannok-Leipert, Filip Johansson, Matt Irwin | Alex Kannok-Leipert | Filip Johansson, Matt Irwin |
Penalty Shots |
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, , Steven Fogarty, , Tyler Angle |
Goalie |
---|
#1 : Cale Morris, #2 : Erik Kallgren |
Custom OT Lines Forwards |
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, Tyler Tullio, Jack Finley, Henri Nikkanen, Tyler Angle, Steven Fogarty, , , Otto Koivula, Lucas Condotta |
Custom OT Lines Defensemen |
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Adam Brubacher, Andrew Welinski, Matt Irwin, Filip Johansson, Alex Kannok-Leipert |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
0 | 0 | 0% | 0 | 0 | 0% | 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 |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
0 | 0 | 0 | 0 | 0 | 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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
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Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Capacity | 2000 | 1000 |
Ticket Price | 35 | 0 |
Attendance | 0% | 0% |
Attendance PCT | 0% | 0% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
41 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
0$ | 1,885,000$ | 1,797,500$ | 0$0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 13 | 0$ | 0$ |
# | 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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