 | Thunder |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Steve St-Amand | Morale : 50 | Team Overall : 59 |
|
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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 | Ryan McLeod | X | 100.00 | 49 | 52 | 87 | 77 | 69 | 76 | 92 | 57 | 82 | 54 | 60 | 70 | 40 | 70 | 73 | 75 | 20 | 63 | 0 | 23 | 1 | 925,000$ | ||||
| 2 | Mark Kastelic | X | 100.00 | 99 | 79 | 73 | 75 | 72 | 70 | 54 | 55 | 93 | 50 | 60 | 71 | 40 | 70 | 70 | 75 | 20 | 62 | 0 | 23 | 1 | 750,000$ | ||||
| 3 | Trey Fix-Wolansky | X | 100.00 | 45 | 55 | 68 | 79 | 41 | 62 | 52 | 51 | 40 | 48 | 53 | 52 | 40 | 70 | 66 | 75 | 20 | 54 | 0 | 23 | 1 | 925,000$ | ||||
| 4 | Jan Mysak (R) | X | 100.00 | 57 | 60 | 90 | 75 | 47 | 60 | 50 | 29 | 70 | 20 | 37 | 53 | 40 | 64 | 62 | 90 | 20 | 47 | 0 | 20 | 2 | 925,000$ | ||||
| 5 | Christian Folin | X | 100.00 | 96 | 66 | 74 | 75 | 71 | 55 | 50 | 51 | 40 | 40 | 50 | 56 | 40 | 86 | 71 | 35 | 20 | 61 | 0 | 31 | 1 | 850,000$ | ||||
| 6 | Victor Mete | X | 100.00 | 48 | 42 | 88 | 79 | 48 | 74 | 68 | 53 | 40 | 56 | 50 | 65 | 40 | 72 | 73 | 70 | 20 | 61 | 0 | 24 | 2 | 2,000,000$ | ||||
| 7 | Jake Gardiner | X | 100.00 | 54 | 59 | 82 | 78 | 67 | 55 | 50 | 58 | 40 | 65 | 50 | 63 | 40 | 88 | 72 | 30 | 20 | 61 | 0 | 32 | 1 | 1,000,000$ | ||||
| Scratches | |||||||||||||||||||||||||||||
| 1 | Brian Boyle | X | 100.00 | 74 | 75 | 82 | 75 | 96 | 72 | 88 | 58 | 80 | 52 | 64 | 82 | 76 | 99 | 86 | 0 | 20 | 69 | 0 | 38 | 0 | 0$ | ||||
| 2 | Matthew Phillips | X | 100.00 | 45 | 38 | 85 | 88 | 40 | 74 | 64 | 68 | 40 | 67 | 69 | 70 | 73 | 72 | 73 | 70 | 20 | 65 | 0 | 24 | 0 | 0$ | ||||
| 3 | Jonathan Dahlen | X | 100.00 | 46 | 42 | 86 | 83 | 49 | 77 | 85 | 60 | 40 | 53 | 66 | 66 | 40 | 74 | 76 | 65 | 20 | 63 | 0 | 25 | 0 | 0$ | ||||
| 4 | Kole Lind | X | 100.00 | 58 | 44 | 80 | 81 | 52 | 74 | 59 | 59 | 40 | 61 | 57 | 71 | 40 | 72 | 73 | 70 | 20 | 62 | 0 | 24 | 0 | 0$ | ||||
| 5 | Jake Leschyshyn | X | 100.00 | 66 | 45 | 86 | 77 | 55 | 74 | 71 | 51 | 81 | 48 | 54 | 66 | 40 | 70 | 72 | 75 | 20 | 59 | 0 | 23 | 1 | 925,000$ | ||||
| 6 | Nick Merkley | X | 100.00 | 64 | 52 | 77 | 80 | 55 | 68 | 58 | 57 | 40 | 62 | 52 | 50 | 40 | 74 | 71 | 65 | 20 | 58 | 0 | 25 | 0 | 0$ | ||||
| 7 | Kristian Vesalainen | X | 100.00 | 72 | 53 | 88 | 75 | 71 | 69 | 79 | 47 | 40 | 42 | 53 | 59 | 40 | 70 | 70 | 75 | 20 | 58 | 0 | 23 | 0 | 0$ | ||||
| 8 | Joona Koppanen | X | 100.00 | 59 | 53 | 84 | 75 | 76 | 71 | 61 | 45 | 40 | 45 | 45 | 70 | 40 | 72 | 72 | 70 | 20 | 57 | 0 | 24 | 0 | 0$ | ||||
| 9 | Ben McCartney (R) | X | 100.00 | 56 | 58 | 69 | 89 | 53 | 66 | 56 | 50 | 40 | 44 | 56 | 50 | 40 | 66 | 66 | 85 | 20 | 56 | 0 | 21 | 3 | 925,000$ | ||||
| 10 | Jayce Hawryluk | X | 100.00 | 74 | 53 | 84 | 78 | 57 | 60 | 50 | 52 | 40 | 45 | 50 | 52 | 40 | 76 | 68 | 60 | 20 | 55 | 0 | 26 | 0 | 0$ | ||||
| 11 | Collin Adams (R) | X | 100.00 | 50 | 45 | 86 | 88 | 55 | 60 | 50 | 35 | 40 | 31 | 39 | 57 | 40 | 72 | 66 | 70 | 20 | 51 | 0 | 24 | 1 | 575,000$ | ||||
| 12 | Manuel Wiederer | X | 100.00 | 61 | 58 | 81 | 75 | 53 | 60 | 50 | 39 | 40 | 41 | 37 | 50 | 40 | 76 | 68 | 60 | 20 | 50 | 0 | 26 | 0 | 0$ | ||||
| 13 | Jan Drozg | X | 100.00 | 53 | 55 | 84 | 75 | 53 | 60 | 50 | 37 | 40 | 35 | 39 | 52 | 40 | 70 | 65 | 75 | 20 | 49 | 0 | 23 | 1 | 925,000$ | ||||
| 14 | Luka Burzan | X | 100.00 | 66 | 69 | 90 | 75 | 54 | 60 | 50 | 25 | 40 | 20 | 30 | 60 | 40 | 68 | 64 | 80 | 20 | 47 | 0 | 22 | 1 | 750,000$ | ||||
| 15 | Jacob Middleton | X | 100.00 | 82 | 87 | 65 | 75 | 77 | 81 | 88 | 55 | 40 | 52 | 57 | 90 | 40 | 76 | 79 | 60 | 20 | 72 | 0 | 26 | 0 | 0$ | ||||
| 16 | Cam York (R) | X | 100.00 | 56 | 41 | 86 | 84 | 47 | 82 | 64 | 61 | 40 | 59 | 62 | 67 | 40 | 66 | 74 | 85 | 20 | 64 | 0 | 21 | 3 | 925,000$ | ||||
| 17 | Johnathan Kovacevic | X | 100.00 | 86 | 76 | 75 | 75 | 81 | 66 | 61 | 48 | 40 | 45 | 52 | 70 | 40 | 74 | 70 | 65 | 20 | 64 | 0 | 25 | 0 | 0$ | ||||
| 18 | Andreas Borgman | X | 100.00 | 99 | 51 | 76 | 75 | 53 | 55 | 50 | 44 | 40 | 32 | 56 | 55 | 40 | 78 | 67 | 55 | 20 | 56 | 0 | 27 | 0 | 0$ | ||||
| 19 | Mitchell VandeSompel | X | 100.00 | 60 | 57 | 83 | 75 | 52 | 60 | 55 | 39 | 40 | 43 | 34 | 50 | 73 | 74 | 67 | 65 | 20 | 54 | 0 | 25 | 0 | 0$ | ||||
| 20 | Ryan O'Rourke (R) | X | 100.00 | 60 | 84 | 72 | 75 | 50 | 55 | 50 | 34 | 40 | 35 | 34 | 52 | 40 | 64 | 60 | 90 | 20 | 52 | 0 | 20 | 2 | 925,000$ | ||||
| TEAM AVERAGE | 100.00 | 64 | 57 | 81 | 78 | 59 | 67 | 61 | 49 | 48 | 46 | 51 | 62 | 44 | 73 | 70 | 66 | 20 | 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 | Zachary Sawchenko (R) | 100.00 | 77 | 50 | 60 | 75 | 50 | 50 | 50 | 50 | 50 | 50 | 40 | 74 | 62 | 65 | 20 | 56 | 0 | 25 | 1 | 575,000$ | |
| Scratches | |||||||||||||||||||||||
| 1 | Karel Vejmelka (R) | 100.00 | 76 | 93 | 94 | 99 | 65 | 63 | 66 | 60 | 70 | 60 | 53 | 76 | 70 | 60 | 20 | 71 | 0 | 26 | 1 | 575,000$ | |
| 2 | Dustin Wolf (R) | 100.00 | 94 | 77 | 85 | 76 | 64 | 68 | 70 | 67 | 66 | 67 | 84 | 66 | 67 | 85 | 20 | 69 | 0 | 21 | 3 | 925,000$ | |
| 3 | Nico Daws (R) | 100.00 | 77 | 60 | 60 | 94 | 63 | 62 | 60 | 60 | 61 | 60 | 87 | 68 | 65 | 80 | 20 | 65 | 0 | 22 | 2 | 750,000$ | |
| TEAM AVERAGE | 100.00 | 81 | 70 | 75 | 86 | 61 | 61 | 62 | 59 | 62 | 59 | 66 | 71 | 66 | 73 | 20 | 65 | ||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ulf Dahlen | 62 | 58 | 50 | 60 | 81 | 87 | 88 | SWE | 56 | 3 | 200,000$ |
| 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 |
|---|
| 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 | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Contract | Type | Current Salary | 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 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Andreas Borgman | Thunder (Lak) | D | 27 | 6/18/1995 | No | 183 Lbs | 6 ft0 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | ||||||||||
| Ben McCartney | Thunder (Lak) | LW | 21 | 7/13/2001 | Yes | 183 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | NHL Link | |||||||
| Brian Boyle | Thunder (Lak) | C | 38 | 12/18/1984 | No | 245 Lbs | 6 ft6 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | ||||||||||
| Cam York | Thunder (Lak) | D | 21 | 1/5/2001 | Yes | 175 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | NHL Link | |||||||
| Christian Folin | Thunder (Lak) | D | 31 | 2/9/1991 | No | 204 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 850,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Collin Adams | Thunder (Lak) | LW | 24 | 4/24/1998 | Yes | 200 Lbs | 5 ft9 | No | No | No | 1 | Pro & Farm | 575,000$ | 0$ | 0$ | No | NHL Link | |||||||||
| Dustin Wolf | Thunder (Lak) | G | 21 | 4/16/2001 | Yes | 156 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | NHL Link | |||||||
| Jacob Middleton | Thunder (Lak) | D | 26 | 1/2/1996 | No | 219 Lbs | 6 ft3 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | ||||||||||
| Jake Gardiner | Thunder (Lak) | D | 32 | 7/4/1990 | No | 203 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Jake Leschyshyn | Thunder (Lak) | C | 23 | 3/10/1999 | No | 192 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Jan Drozg | Thunder (Lak) | RW | 23 | 4/1/1999 | No | 175 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Jan Mysak | Thunder (Lak) | C | 20 | 6/24/2002 | Yes | 176 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | Link / NHL Link | ||||||||
| Jayce Hawryluk | Thunder (Lak) | C | 26 | 1/1/1996 | No | 196 Lbs | 5 ft11 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | ||||||||||
| Johnathan Kovacevic | Thunder (Lak) | D | 25 | 7/12/1997 | No | 219 Lbs | 6 ft5 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | ||||||||||
| Jonathan Dahlen | Thunder (Lak) | C | 25 | 12/20/1997 | No | 180 Lbs | 5 ft11 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | ||||||||||
| Joona Koppanen | Thunder (Lak) | LW | 24 | 2/25/1998 | No | 210 Lbs | 6 ft5 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | ||||||||||
| Karel Vejmelka | Thunder (Lak) | G | 26 | 5/25/1996 | Yes | 224 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 575,000$ | 0$ | 0$ | No | NHL Link | |||||||||
| Kole Lind | Thunder (Lak) | RW | 24 | 10/16/1998 | No | 178 Lbs | 6 ft1 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | ||||||||||
| Kristian Vesalainen | Thunder (Lak) | LW | 23 | 6/1/1999 | No | 207 Lbs | 6 ft3 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | ||||||||||
| Luka Burzan | Thunder (Lak) | LW | 22 | 1/7/2000 | No | 185 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Manuel Wiederer | Thunder (Lak) | RW | 26 | 11/21/1996 | No | 180 Lbs | 6 ft1 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | ||||||||||
| Mark Kastelic | Thunder (Lak) | C | 23 | 3/11/1999 | No | 210 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Matthew Phillips | Thunder (Lak) | RW | 24 | 4/6/1998 | No | 165 Lbs | 5 ft8 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | ||||||||||
| Mitchell VandeSompel | Thunder (Lak) | D | 25 | 2/11/1997 | No | 190 Lbs | 5 ft10 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | ||||||||||
| Nick Merkley | Thunder (Lak) | RW | 25 | 5/23/1997 | No | 192 Lbs | 5 ft11 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | ||||||||||
| Nico Daws | Thunder (Lak) | G | 22 | 12/22/2000 | Yes | 205 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | NHL Link | ||||||||
| Ryan McLeod | Thunder (Lak) | C | 23 | 9/21/1999 | No | 207 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Ryan O'Rourke | Thunder (Lak) | D | 20 | 5/16/2002 | Yes | 178 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | Link / NHL Link | ||||||||
| Trey Fix-Wolansky | Thunder (Lak) | RW | 23 | 5/26/1999 | No | 179 Lbs | 5 ft7 | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Victor Mete | Thunder (Lak) | D | 24 | 6/7/1998 | No | 185 Lbs | 5 ft9 | No | No | No | 2 | Pro & Farm | 2,000,000$ | 0$ | 0$ | No | 2,000,000$ | Link / NHL Link | ||||||||
| Zachary Sawchenko | Thunder (Lak) | G | 25 | 12/30/1997 | Yes | 175 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 575,000$ | 0$ | 0$ | No | Link / NHL Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 31 | 24.58 | 193 Lbs | 6 ft1 | 0.90 | 520,968$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 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 | 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 |
| , , | , | |
| 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 |
| 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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 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 | 0.00% | 0 | 0 | 0.00% | 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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
| 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 |
|---|
| Arena Capacity - Ticket Price Attendance - % | ||
|---|---|---|
| Level 1 | Level 2 | |
| Capacity | 2000 | 1000 |
| Ticket Price | 35 | 15 |
| Attendance | 0.00% | 0.00% |
| Attendance PCT | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity | 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
| 0$ | 1,615,000$ | 300,000$ | 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$ | 0 | 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 |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
Barracudas
BigBadStars
Darkness
EvilSharks
Griffins
IceHawks
IceHogs
Magics
National
Oceanic
Pantheres
Sagueneens
Spiders
Wolves
Bandits
BaronsOKC
Checkers
Cyclones
Draveurs
Eagles
HC
IceBears
Iceberg
Mighty Ducks
Nordiques
Remparts
Roadrunners
SilverKnights
Vikings
WolfPack
