Americans | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Stu | Morale : 40 | Team Overall : 58 Next Games #13 vs Senators |
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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 Average |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jacob Peterson (R) | 0 | X | 100.00 | 53 | 40 | 87 | 65 | 79 | 75 | 70 | 59 | 76 | 62 | 66 | 61 | 70 | 52 | 62 | 0 | 40 | 60 | 0 | 23 | 2 | 925,000$ | ||||
2 | Dominic Toninato | 0 | X | 100.00 | 74 | 43 | 81 | 61 | 82 | 71 | 70 | 58 | 63 | 63 | 60 | 66 | 60 | 56 | 66 | 0 | 40 | 60 | 0 | 28 | 1 | 750,000$ | ||||
3 | Connor Dewar | 0 | X | 100.00 | 78 | 46 | 87 | 62 | 78 | 68 | 54 | 59 | 69 | 65 | 61 | 65 | 61 | 52 | 63 | 0 | 40 | 60 | 0 | 23 | 1 | 925,000$ | ||||
4 | Brett Murray | 0 | X | 100.00 | 67 | 62 | 78 | 52 | 93 | 62 | 57 | 60 | 40 | 65 | 62 | 60 | 61 | 54 | 64 | 0 | 40 | 58 | 0 | 24 | 2 | 950,000$ | ||||
5 | Samuel Poulin (R) | 0 | X | 100.00 | 50 | 53 | 75 | 52 | 87 | 60 | 50 | 58 | 40 | 64 | 60 | 62 | 60 | 52 | 62 | 0 | 40 | 56 | 0 | 21 | 3 | 850,000$ | ||||
6 | Viktor Lodin (R) | 0 | X | X | 100.00 | 50 | 41 | 76 | 59 | 81 | 60 | 25 | 61 | 60 | 63 | 66 | 54 | 63 | 50 | 60 | 0 | 40 | 56 | 0 | 23 | 2 | 850,000$ | |||
7 | Gemel Smith (A) | 0 | X | 100.00 | 50 | 51 | 76 | 55 | 83 | 60 | 29 | 60 | 64 | 64 | 62 | 60 | 61 | 57 | 67 | 0 | 40 | 56 | 0 | 28 | 3 | 950,000$ | ||||
8 | Lauri Pajuniemi (R) | 0 | X | 100.00 | 50 | 41 | 75 | 58 | 80 | 60 | 29 | 58 | 40 | 63 | 61 | 62 | 61 | 51 | 61 | 0 | 40 | 55 | 0 | 23 | 2 | 850,000$ | ||||
9 | Luke Henman (R) | 0 | X | X | X | 100.00 | 50 | 43 | 75 | 58 | 76 | 60 | 28 | 53 | 40 | 61 | 58 | 62 | 59 | 51 | 61 | 0 | 40 | 54 | 0 | 22 | 2 | 850,000$ | ||
10 | Matt Wedman (R) | 0 | X | 100.00 | 50 | 53 | 75 | 50 | 87 | 60 | 48 | 52 | 40 | 60 | 58 | 62 | 59 | 51 | 61 | 0 | 40 | 54 | 0 | 23 | 1 | 750,000$ | ||||
11 | Alex Beaucage (R) | 0 | X | 100.00 | 50 | 44 | 75 | 54 | 82 | 60 | 18 | 54 | 40 | 62 | 57 | 62 | 59 | 52 | 61 | 0 | 40 | 53 | 0 | 21 | 3 | 850,000$ | ||||
12 | Cedric Pare (R) | 0 | X | 100.00 | 50 | 48 | 75 | 50 | 88 | 60 | 19 | 52 | 60 | 61 | 57 | 62 | 59 | 51 | 61 | 0 | 40 | 53 | 0 | 23 | 1 | 750,000$ | ||||
13 | Tommy Cross (C) | 0 | X | 100.00 | 50 | 51 | 75 | 53 | 86 | 60 | 45 | 69 | 20 | 64 | 62 | 68 | 61 | 73 | 78 | 0 | 40 | 60 | 0 | 33 | 1 | 750,000$ | ||||
14 | Ryan Merkley | 0 | X | 100.00 | 53 | 42 | 85 | 60 | 80 | 66 | 60 | 65 | 20 | 67 | 59 | 67 | 60 | 53 | 63 | 0 | 40 | 60 | 0 | 22 | 2 | 925,000$ | ||||
15 | Luke Witkowski (A) | 0 | X | 100.00 | 70 | 58 | 75 | 50 | 87 | 60 | 50 | 65 | 20 | 61 | 60 | 68 | 60 | 61 | 70 | 0 | 40 | 60 | 0 | 32 | 1 | 750,000$ | ||||
16 | Alex Alexeyev | 0 | X | 100.00 | 70 | 53 | 75 | 51 | 89 | 60 | 54 | 66 | 20 | 63 | 56 | 65 | 58 | 53 | 63 | 0 | 40 | 59 | 0 | 22 | 1 | 925,000$ | ||||
17 | Nils Lundkvist (R) | 0 | X | 100.00 | 57 | 42 | 81 | 59 | 80 | 62 | 51 | 66 | 20 | 64 | 60 | 66 | 60 | 51 | 61 | 0 | 40 | 59 | 0 | 22 | 2 | 850,000$ | ||||
18 | Gianni Fairbrother (R) | 0 | X | 100.00 | 50 | 60 | 75 | 52 | 84 | 60 | 10 | 67 | 20 | 63 | 57 | 68 | 59 | 51 | 61 | 0 | 40 | 55 | 0 | 22 | 2 | 850,000$ | ||||
Scratches | ||||||||||||||||||||||||||||||
1 | Riley Sutter | 0 | X | 100.00 | 50 | 47 | 75 | 50 | 87 | 60 | 17 | 52 | 60 | 61 | 56 | 62 | 58 | 51 | 61 | 0 | 40 | 53 | 0 | 22 | 1 | 900,000$ | ||||
TEAM AVERAGE | 100.00 | 56 | 48 | 78 | 55 | 84 | 62 | 41 | 60 | 43 | 63 | 60 | 63 | 60 | 54 | 63 | 0 | 40 | 57 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Logan Thompson | 100.00 | 77 | 78 | 75 | 86 | 81 | 81 | 78 | 82 | 81 | 79 | 80 | 71 | 69 | 0 | 40 | 76 | 0 | |
2 | Jiri Patera (R) | 100.00 | 55 | 65 | 62 | 86 | 59 | 60 | 57 | 60 | 60 | 57 | 58 | 68 | 67 | 0 | 40 | 61 | 0 | |
Scratches | ||||||||||||||||||||
1 | Logan Flodell | 100.00 | 48 | 58 | 55 | 83 | 53 | 52 | 52 | 53 | 53 | 49 | 51 | 71 | 69 | 0 | 40 | 56 | 0 | |
TEAM AVERAGE | 100.00 | 60 | 67 | 64 | 85 | 64 | 64 | 62 | 65 | 65 | 62 | 63 | 70 | 68 | 0 | 40 | 64 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jack Capuano | 75 | 75 | 75 | 75 | 75 | 75 | 75 | USA | 56 | 8 | 500,000$ |
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 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Player Name | Team Name | POS | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Contract | Type | Current Salary | Salary Remaining | Salary Average | Salary Ave 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 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Alexeyev | Americans (BUF) | D | 22 | 11/15/1999 | No | 213 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 925,000$ | 915,212$ | 925,000$ | 915,212$ | 0$ | 0$ | No | Link | |||||||||
Alex Beaucage | Americans (BUF) | RW | 21 | 7/25/2001 | Yes | 194 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Link | |||||||
Brett Murray | Americans (BUF) | LW | 24 | 7/20/1998 | No | 228 Lbs | 6 ft5 | No | No | No | 2 | Pro & Farm | 950,000$ | 939,947$ | 950,000$ | 939,947$ | 0$ | 0$ | No | 950,000$ | Link | ||||||||
Cedric Pare | Americans (BUF) | C | 23 | 1/24/1999 | Yes | 212 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | Link | |||||||||
Connor Dewar | Americans (BUF) | C | 23 | 6/26/1999 | No | 183 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 925,000$ | 915,212$ | 925,000$ | 915,212$ | 0$ | 0$ | No | Link | |||||||||
Dominic Toninato | Americans (BUF) | C | 28 | 3/9/1994 | No | 191 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | Link | |||||||||
Gemel Smith (1 Way Contract) | Americans (BUF) | C | 28 | 4/16/1994 | No | 203 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 950,000$ | 939,947$ | 950,000$ | 939,947$ | 0$ | 0$ | No | 950,000$ | 950,000$ | Link | |||||||
Gianni Fairbrother | Americans (BUF) | D | 22 | 9/3/2000 | Yes | 200 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | Link | ||||||||
Jacob Peterson | Americans (BUF) | C | 23 | 7/19/1999 | Yes | 180 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 925,000$ | 915,212$ | 925,000$ | 915,212$ | 0$ | 0$ | No | 925,000$ | Link | ||||||||
Jiri Patera | Americans (BUF) | G | 23 | 2/24/1999 | Yes | 209 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 925,000$ | 915,212$ | 925,000$ | 915,212$ | 0$ | 0$ | No | Link | |||||||||
Lauri Pajuniemi | Americans (BUF) | RW | 23 | 9/12/1999 | Yes | 183 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | Link | ||||||||
Logan Flodell | Americans (BUF) | G | 25 | 2/10/1997 | No | 181 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | Link | |||||||||
Logan Thompson | Americans (BUF) | G | 25 | 2/25/1997 | No | 181 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 989,418$ | 1,000,000$ | 989,418$ | 0$ | 0$ | No | Link | |||||||||
Luke Henman | Americans (BUF) | C/LW/RW | 22 | 4/29/2000 | Yes | 170 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | Link | ||||||||
Luke Witkowski | Americans (BUF) | D | 32 | 4/14/1990 | No | 210 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | Link | |||||||||
Matt Wedman | Americans (BUF) | LW | 23 | 5/25/1999 | Yes | 210 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | Link | |||||||||
Nils Lundkvist | Americans (BUF) | D | 22 | 7/27/2000 | Yes | 187 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | Link | ||||||||
Riley Sutter | Americans (BUF) | C | 22 | 10/25/1999 | No | 207 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 900,000$ | 890,476$ | 900,000$ | 890,476$ | 0$ | 0$ | No | Link | |||||||||
Ryan Merkley | Americans (BUF) | D | 22 | 8/14/2000 | No | 186 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 925,000$ | 915,212$ | 925,000$ | 915,212$ | 0$ | 0$ | No | 925,000$ | Link | ||||||||
Samuel Poulin | Americans (BUF) | LW | 21 | 2/25/2001 | Yes | 213 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Link | |||||||
Tommy Cross | Americans (BUF) | D | 33 | 9/12/1989 | No | 205 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | Link | |||||||||
Viktor Lodin | Americans (BUF) | C/LW | 23 | 6/2/1999 | Yes | 185 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
22 | 24.09 | 197 Lbs | 6 ft2 | 1.64 | 857,955$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Brett Murray | Dominic Toninato | Lauri Pajuniemi | 40 | 1 | 2 | 2 |
2 | Samuel Poulin | Jacob Peterson | Luke Henman | 30 | 1 | 2 | 2 |
3 | Viktor Lodin | Connor Dewar | Alex Beaucage | 20 | 1 | 2 | 2 |
4 | Matt Wedman | Gemel Smith | Dominic Toninato | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Luke Witkowski | Tommy Cross | 40 | 1 | 2 | 2 | |
2 | Ryan Merkley | Nils Lundkvist | 30 | 1 | 2 | 2 | |
3 | Alex Alexeyev | Gianni Fairbrother | 20 | 1 | 2 | 2 | |
4 | Luke Witkowski | Tommy Cross | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Brett Murray | Dominic Toninato | Lauri Pajuniemi | 60 | 1 | 2 | 2 |
2 | Samuel Poulin | Jacob Peterson | Luke Henman | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Luke Witkowski | Tommy Cross | 60 | 1 | 2 | 2 | |
2 | Ryan Merkley | Nils Lundkvist | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Dominic Toninato | Jacob Peterson | 60 | 1 | 2 | 2 |
2 | Connor Dewar | Brett Murray | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Luke Witkowski | Tommy Cross | 60 | 1 | 2 | 2 |
2 | Ryan Merkley | Nils Lundkvist | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Dominic Toninato | 60 | 1 | 2 | 2 | Luke Witkowski | Tommy Cross | 60 | 1 | 2 | 2 |
2 | Jacob Peterson | 40 | 1 | 2 | 2 | Ryan Merkley | Nils Lundkvist | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Dominic Toninato | Jacob Peterson | 60 | 1 | 2 | 2 |
2 | Connor Dewar | Brett Murray | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Luke Witkowski | Tommy Cross | 60 | 1 | 2 | 2 |
2 | Ryan Merkley | Nils Lundkvist | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Brett Murray | Dominic Toninato | Lauri Pajuniemi | Luke Witkowski | Tommy Cross |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Brett Murray | Dominic Toninato | Lauri Pajuniemi | Luke Witkowski | Tommy Cross |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Cedric Pare, Gemel Smith, Viktor Lodin | Cedric Pare, Gemel Smith | Viktor Lodin |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Alex Alexeyev, Gianni Fairbrother, Ryan Merkley | Alex Alexeyev | Gianni Fairbrother, Ryan Merkley |
Penalty Shots |
---|
Dominic Toninato, Jacob Peterson, Connor Dewar, Brett Murray, Gemel Smith |
Goalie |
---|
#1 : Logan Thompson, #2 : Jiri Patera |
Custom OT Lines Forwards |
---|
Dominic Toninato, Jacob Peterson, Connor Dewar, Brett Murray, Gemel Smith, Samuel Poulin, Samuel Poulin, Viktor Lodin, Lauri Pajuniemi, Matt Wedman, Luke Henman |
Custom OT Lines Defensemen |
---|
Luke Witkowski, Tommy Cross, Ryan Merkley, Nils Lundkvist, Alex Alexeyev |
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 | 0.00% | 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 |
---|---|---|---|---|---|---|---|---|---|---|
7 - 2022-09-15 | 13 | Senators | - | Americans | - | |||||
9 - 2022-09-17 | 25 | Checkers | - | Americans | - | |||||
12 - 2022-09-20 | 54 | Americans | - | Condors | - | |||||
14 - 2022-09-22 | 68 | Americans | - | Heat | - | |||||
16 - 2022-09-24 | 84 | Americans | - | Canucks | - | |||||
19 - 2022-09-27 | 105 | Americans | - | Firebirds | - | |||||
21 - 2022-09-29 | 114 | Rocket | - | Americans | - | |||||
23 - 2022-10-01 | 133 | IceHogs | - | Americans | - | |||||
25 - 2022-10-03 | 144 | Griffins | - | Americans | - | |||||
27 - 2022-10-05 | 160 | Penguins | - | Americans | - | |||||
29 - 2022-10-07 | 175 | Americans | - | Wolves | - | |||||
30 - 2022-10-08 | 181 | Americans | - | Crunch | - | |||||
33 - 2022-10-11 | 196 | Roadrunners | - | Americans | - | |||||
35 - 2022-10-13 | 215 | Silver Knights | - | Americans | - | |||||
37 - 2022-10-15 | 228 | Bruins | - | Americans | - | |||||
40 - 2022-10-18 | 252 | Canucks | - | Americans | - | |||||
41 - 2022-10-19 | 257 | Americans | - | Senators | - | |||||
44 - 2022-10-22 | 277 | Americans | - | Marlies | - | |||||
47 - 2022-10-25 | 301 | Americans | - | Rocket | - | |||||
48 - 2022-10-26 | 308 | Thunderbirds | - | Americans | - | |||||
50 - 2022-10-28 | 327 | Comets | - | Americans | - | |||||
53 - 2022-10-31 | 347 | Crunch | - | Americans | - | |||||
55 - 2022-11-02 | 361 | Americans | - | Griffins | - | |||||
56 - 2022-11-03 | 365 | Eagles | - | Americans | - | |||||
59 - 2022-11-06 | 395 | Barracuda | - | Americans | - | |||||
62 - 2022-11-09 | 412 | Americans | - | Monsters | - | |||||
64 - 2022-11-11 | 426 | Penguins | - | Americans | - | |||||
65 - 2022-11-12 | 437 | Americans | - | Penguins | - | |||||
68 - 2022-11-15 | 457 | Reign | - | Americans | - | |||||
70 - 2022-11-17 | 479 | Americans | - | Eagles | - | |||||
72 - 2022-11-19 | 492 | Americans | - | Roadrunners | - | |||||
74 - 2022-11-21 | 507 | Americans | - | Silver Knights | - | |||||
78 - 2022-11-25 | 536 | Crunch | - | Americans | - | |||||
82 - 2022-11-29 | 547 | Americans | - | Monsters | - | |||||
84 - 2022-12-01 | 563 | Griffins | - | Americans | - | |||||
86 - 2022-12-03 | 578 | Americans | - | Bruins | - | |||||
87 - 2022-12-04 | 593 | Americans | - | Senators | - | |||||
89 - 2022-12-06 | 599 | Americans | - | Bears | - | |||||
93 - 2022-12-10 | 631 | Wild | - | Americans | - | |||||
96 - 2022-12-13 | 651 | Firebirds | - | Americans | - | |||||
98 - 2022-12-15 | 668 | Moose | - | Americans | - | |||||
100 - 2022-12-17 | 686 | Americans | - | Admirals | - | |||||
102 - 2022-12-19 | 694 | Checkers | - | Americans | - | |||||
103 - 2022-12-20 | 709 | Americans | - | IceHogs | - | |||||
105 - 2022-12-22 | 722 | Islanders | - | Americans | - | |||||
107 - 2022-12-24 | 732 | Gulls | - | Americans | - | |||||
109 - 2022-12-26 | 753 | Americans | - | Stars | - | |||||
110 - 2022-12-27 | 761 | Americans | - | Thunderbirds | - | |||||
112 - 2022-12-29 | 774 | Americans | - | Moose | - | |||||
114 - 2022-12-31 | 795 | Americans | - | Wild | - | |||||
118 - 2023-01-04 | 805 | Wolves | - | Americans | - | |||||
128 - 2023-01-14 | 833 | Heat | - | Americans | - | |||||
130 - 2023-01-16 | 854 | Americans | - | Reign | - | |||||
132 - 2023-01-18 | 868 | Americans | - | Gulls | - | |||||
135 - 2023-01-21 | 893 | Americans | - | Barracuda | - | |||||
138 - 2023-01-24 | 912 | Marlies | - | Americans | - | |||||
140 - 2023-01-26 | 921 | Americans | - | Crunch | - | |||||
141 - 2023-01-27 | 930 | Americans | - | Checkers | - | |||||
143 - 2023-01-29 | 947 | Bears | - | Americans | - | |||||
145 - 2023-01-31 | 958 | Monsters | - | Americans | - | |||||
147 - 2023-02-02 | 974 | Americans | - | Bruins | - | |||||
149 - 2023-02-04 | 990 | Phantoms | - | Americans | - | |||||
151 - 2023-02-06 | 1007 | Condors | - | Americans | - | |||||
152 - 2023-02-07 | 1017 | Americans | - | Islanders | - | |||||
154 - 2023-02-09 | 1025 | Stars | - | Americans | - | |||||
156 - 2023-02-11 | 1040 | Wolf Pack | - | Americans | - | |||||
158 - 2023-02-13 | 1061 | Americans | - | Marlies | - | |||||
160 - 2023-02-15 | 1076 | Americans | - | Bears | - | |||||
162 - 2023-02-17 | 1091 | Americans | - | Phantoms | - | |||||
164 - 2023-02-19 | 1108 | Bruins | - | Americans | - | |||||
166 - 2023-02-21 | 1124 | Admirals | - | Americans | - | |||||
169 - 2023-02-24 | 1148 | Comets | - | Americans | - | |||||
170 - 2023-02-25 | 1157 | Americans | - | Islanders | - | |||||
172 - 2023-02-27 | 1171 | Rocket | - | Americans | - | |||||
176 - 2023-03-03 | 1200 | Wolf Pack | - | Americans | - | |||||
177 - 2023-03-04 | 1206 | Americans | - | Phantoms | - | |||||
180 - 2023-03-07 | 1229 | Americans | - | Checkers | - | |||||
182 - 2023-03-09 | 1248 | Americans | - | Griffins | - | |||||
184 - 2023-03-11 | 1257 | Wolves | - | Americans | - | |||||
186 - 2023-03-13 | 1276 | Americans | - | Wolf Pack | - | |||||
187 - 2023-03-14 | 1285 | Americans | - | Comets | - | |||||
189 - 2023-03-16 | 1302 | Senators | - | Americans | - |
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 |
41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
18,968$ | 1,792,500$ | 1,792,500$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
9,484$ | 18,968$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 187 | 9,484$ | 1,773,508$ |
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 |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11 | 82 | 23 | 37 | 0 | 7 | 10 | 3 | 2 | 145 | 173 | -28 | 41 | 9 | 20 | 0 | 5 | 4 | 3 | 0 | 68 | 86 | -18 | 41 | 14 | 17 | 0 | 2 | 6 | 0 | 2 | 77 | 87 | -10 | 78 | 145 | 237 | 382 | 5 | 6 | 24 | 55 | 56 | 11 | 1932 | 473 | 702 | 711 | 60 | 2433 | 782 | 253 | 1596 | 92 | 25 | 27.17% | 119 | 33 | 72.27% | 1 | 698 | 1392 | 50.14% | 717 | 1479 | 48.48% | 451 | 911 | 49.51% | 1528 | 691 | 1616 | 824 | 1828 | 928 |
11 | 82 | 23 | 37 | 0 | 7 | 10 | 3 | 2 | 145 | 173 | -28 | 41 | 9 | 20 | 0 | 5 | 4 | 3 | 0 | 68 | 86 | -18 | 41 | 14 | 17 | 0 | 2 | 6 | 0 | 2 | 77 | 87 | -10 | 78 | 145 | 237 | 382 | 5 | 6 | 24 | 55 | 56 | 11 | 1932 | 473 | 702 | 711 | 60 | 2433 | 782 | 253 | 1596 | 92 | 25 | 27.17% | 119 | 33 | 72.27% | 1 | 698 | 1392 | 50.14% | 717 | 1479 | 48.48% | 451 | 911 | 49.51% | 1528 | 691 | 1616 | 824 | 1828 | 928 |
Total Regular Season | 164 | 46 | 74 | 0 | 14 | 20 | 6 | 4 | 290 | 346 | -56 | 82 | 18 | 40 | 0 | 10 | 8 | 6 | 0 | 136 | 172 | -36 | 82 | 28 | 34 | 0 | 4 | 12 | 0 | 4 | 154 | 174 | -20 | 156 | 290 | 474 | 764 | 10 | 12 | 48 | 110 | 112 | 22 | 3864 | 946 | 1404 | 1422 | 120 | 4866 | 1564 | 506 | 3192 | 184 | 50 | 27.17% | 238 | 66 | 72.27% | 2 | 1396 | 2784 | 50.14% | 1434 | 2958 | 48.48% | 902 | 1822 | 49.51% | 3057 | 1382 | 3232 | 1648 | 3657 | 1857 |