 | Senators |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Brendan Cwik | Morale : 50 | Team Overall : 59 Next Games #14 vs Rocket |
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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 | Jesper Boqvist | X | X | X | 100.00 | 65 | 41 | 97 | 86 | 67 | 58 | 71 | 61 | 47 | 60 | 66 | 68 | 25 | 51 | 51 | 66 | 47 | 63 | 0 | 22 | 2 | 774,000$ | ||
| 2 | Nolan Patrick (R) | X | X | 100.00 | 73 | 43 | 88 | 76 | 73 | 65 | 58 | 70 | 84 | 60 | 58 | 64 | 25 | 49 | 49 | 64 | 50 | 62 | 0 | 22 | 3 | 952,187$ | |||
| 3 | Andrew Poturalski | X | 100.00 | 73 | 65 | 92 | 59 | 65 | 61 | 60 | 66 | 80 | 68 | 58 | 67 | 55 | 55 | 55 | 63 | 47 | 61 | 0 | 27 | 2 | 2,500,000$ | ||||
| 4 | Cole Caufield (R) | X | 100.00 | 61 | 40 | 93 | 80 | 56 | 66 | 51 | 70 | 25 | 60 | 80 | 54 | 25 | 44 | 44 | 72 | 50 | 61 | 0 | 20 | 3 | 880,833$ | ||||
| 5 | Morgan Frost | X | 100.00 | 56 | 38 | 88 | 85 | 63 | 62 | 54 | 71 | 57 | 67 | 56 | 50 | 25 | 46 | 46 | 58 | 47 | 60 | 0 | 22 | 2 | 824,000$ | ||||
| 6 | Curtis McKenzie | X | 100.00 | 72 | 76 | 64 | 63 | 76 | 65 | 67 | 60 | 50 | 56 | 57 | 66 | 54 | 60 | 61 | 61 | 47 | 60 | 0 | 30 | 1 | 911,000$ | ||||
| 7 | Sam Anas | X | 100.00 | 67 | 55 | 96 | 66 | 55 | 65 | 66 | 65 | 80 | 70 | 56 | 61 | 53 | 44 | 44 | 63 | 47 | 60 | 0 | 28 | 2 | 793,000$ | ||||
| 8 | Liam O'Brien | X | X | 100.00 | 88 | 46 | 28 | 67 | 77 | 46 | 64 | 55 | 25 | 70 | 55 | 67 | 25 | 46 | 46 | 59 | 47 | 59 | 0 | 27 | 2 | 1,160,000$ | |||
| 9 | Brandon Baddock | X | 100.00 | 69 | 82 | 39 | 66 | 82 | 59 | 62 | 49 | 50 | 46 | 46 | 58 | 44 | 44 | 44 | 52 | 47 | 54 | 0 | 26 | 1 | 781,819$ | ||||
| 10 | Brett Kulak | X | 100.00 | 67 | 42 | 87 | 75 | 71 | 69 | 79 | 60 | 25 | 50 | 48 | 61 | 25 | 65 | 66 | 59 | 47 | 63 | 0 | 27 | 2 | 1,649,000$ | ||||
| 11 | Brad Hunt | X | 100.00 | 61 | 40 | 89 | 77 | 62 | 59 | 59 | 80 | 25 | 39 | 49 | 69 | 25 | 64 | 65 | 58 | 47 | 63 | 0 | 33 | 1 | 1,216,000$ | ||||
| 12 | Rasmus Sandin | X | 100.00 | 77 | 43 | 99 | 80 | 66 | 65 | 54 | 74 | 25 | 70 | 47 | 59 | 25 | 47 | 47 | 58 | 47 | 62 | 0 | 21 | 1 | 883,200$ | ||||
| 13 | Dan Renouf | X | 100.00 | 76 | 44 | 75 | 62 | 74 | 54 | 62 | 55 | 25 | 52 | 47 | 70 | 25 | 55 | 55 | 56 | 47 | 60 | 0 | 27 | 2 | 1,167,000$ | ||||
| 14 | Martin Fehervary | X | 100.00 | 71 | 72 | 67 | 72 | 72 | 64 | 66 | 57 | 25 | 54 | 46 | 61 | 44 | 44 | 45 | 57 | 47 | 59 | 0 | 21 | 2 | 750,000$ | ||||
| 15 | Ryan Murphy (R) | X | 100.00 | 69 | 66 | 76 | 67 | 66 | 69 | 72 | 59 | 25 | 55 | 48 | 60 | 46 | 44 | 44 | 58 | 50 | 59 | 0 | 28 | 3 | 794,017$ | ||||
| 16 | Sean Durzi | X | 100.00 | 71 | 68 | 77 | 64 | 68 | 62 | 65 | 53 | 25 | 50 | 42 | 60 | 40 | 44 | 44 | 54 | 47 | 57 | 0 | 22 | 2 | 750,000$ | ||||
| 17 | Mac Hollowell | X | 100.00 | 70 | 62 | 87 | 67 | 62 | 60 | 63 | 50 | 25 | 45 | 41 | 59 | 39 | 44 | 44 | 53 | 47 | 56 | 0 | 22 | 2 | 750,000$ | ||||
| 18 | Nelson Nogier (R) | X | 100.00 | 72 | 72 | 72 | 65 | 72 | 55 | 58 | 47 | 25 | 37 | 41 | 59 | 39 | 44 | 44 | 50 | 47 | 55 | 0 | 25 | 2 | 913,000$ | ||||
| Scratches | |||||||||||||||||||||||||||||
| 1 | Kiefer Sherwood | X | X | 100.00 | 90 | 45 | 99 | 72 | 67 | 52 | 61 | 64 | 44 | 65 | 55 | 61 | 25 | 54 | 54 | 61 | 50 | 60 | 0 | 26 | 0 | 0$ | |||
| 2 | Cameron Hillis (R) | X | 100.00 | 72 | 62 | 96 | 63 | 62 | 58 | 62 | 45 | 56 | 38 | 46 | 58 | 44 | 44 | 44 | 52 | 50 | 52 | 0 | 21 | 3 | 988,260$ | ||||
| 3 | Patrick Harper (R) | X | 100.00 | 66 | 53 | 95 | 63 | 53 | 50 | 51 | 48 | 60 | 46 | 44 | 56 | 42 | 44 | 44 | 51 | 50 | 51 | 0 | 23 | 3 | 804,784$ | ||||
| 4 | Miles Gendron (R) | X | 100.00 | 72 | 69 | 79 | 50 | 69 | 50 | 51 | 47 | 25 | 33 | 46 | 59 | 44 | 44 | 44 | 51 | 50 | 52 | 0 | 25 | 3 | 860,541$ | ||||
| TEAM AVERAGE | 100.00 | 71 | 56 | 81 | 69 | 67 | 60 | 62 | 59 | 41 | 54 | 51 | 61 | 36 | 49 | 49 | 58 | 48 | 59 | ||||||||||
| 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 | Zane McIntyre | 100.00 | 62 | 58 | 73 | 79 | 63 | 64 | 62 | 68 | 65 | 64 | 30 | 44 | 44 | 63 | 50 | 62 | 0 | |
| 2 | Max Lagace | 100.00 | 58 | 54 | 68 | 75 | 57 | 56 | 63 | 66 | 59 | 60 | 30 | 44 | 44 | 59 | 47 | 59 | 0 | |
| Scratches | ||||||||||||||||||||
| 1 | Carter Hart | 100.00 | 50 | 71 | 69 | 71 | 52 | 48 | 44 | 53 | 53 | 50 | 80 | 56 | 57 | 53 | 47 | 54 | 0 | |
| TEAM AVERAGE | 100.00 | 57 | 61 | 70 | 75 | 57 | 56 | 56 | 62 | 59 | 58 | 47 | 48 | 48 | 58 | 48 | 58 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jack Capuano | 62 | 45 | 65 | 57 | 59 | 60 | 58 | USA | 49 | 2 | 750,000$ |
| 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 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Andrew Poturalski | Senators (OTT) | C | 27 | 1/14/1994 | No | 183 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 2,500,000$ | 2,500,000$ | 0$ | 0$ | No | 2,500,000$ | Link / NHL Link | ||||||||
| Brad Hunt | Senators (OTT) | D | 33 | 8/23/1988 | No | 177 Lbs | 5 ft9 | No | No | No | 1 | Pro & Farm | 1,216,000$ | 1,216,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Brandon Baddock | Senators (OTT) | LW | 26 | 3/28/1995 | No | 221 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 781,819$ | 781,819$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Brett Kulak | Senators (OTT) | D | 27 | 1/5/1994 | No | 192 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 1,649,000$ | 1,649,000$ | 0$ | 0$ | No | 1,649,000$ | Link / NHL Link | ||||||||
| Cameron Hillis | Senators (OTT) | C | 21 | 6/24/2000 | Yes | 171 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 988,260$ | 988,260$ | 0$ | 0$ | No | 988,260$ | 988,260$ | ||||||||
| Carter Hart | Senators (OTT) | G | 23 | 8/12/1998 | No | 181 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 895,588$ | 895,588$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Cole Caufield | Senators (OTT) | RW | 20 | 1/2/2001 | Yes | 162 Lbs | 5 ft7 | No | No | No | 3 | Pro & Farm | 880,833$ | 880,833$ | 0$ | 0$ | No | 880,833$ | 880,833$ | ||||||||
| Curtis McKenzie | Senators (OTT) | LW | 30 | 2/22/1991 | No | 205 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 911,000$ | 911,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Dan Renouf | Senators (OTT) | D | 27 | 6/1/1994 | No | 198 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 1,167,000$ | 1,167,000$ | 0$ | 0$ | No | 1,167,000$ | Link / NHL Link | ||||||||
| Jesper Boqvist | Senators (OTT) | C/LW/RW | 22 | 10/30/1998 | No | 180 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 774,000$ | 774,000$ | 0$ | 0$ | No | 774,000$ | Link | ||||||||
| Kiefer Sherwood | Senators (OTT) | LW/RW | 26 | 3/31/1995 | No | 180 Lbs | 6 ft0 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | |||||||||||
| Liam O'Brien | Senators (OTT) | C/LW | 27 | 7/29/1994 | No | 213 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 1,160,000$ | 1,160,000$ | 0$ | 0$ | No | 1,160,000$ | Link / NHL Link | ||||||||
| Mac Hollowell | Senators (OTT) | D | 22 | 9/26/1998 | No | 170 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
| Martin Fehervary | Senators (OTT) | D | 21 | 10/6/1999 | No | 194 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
| Max Lagace | Senators (OTT) | G | 28 | 1/11/1993 | No | 190 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 788,000$ | 788,000$ | 0$ | 0$ | No | 788,000$ | Link | ||||||||
| Miles Gendron | Senators (OTT) | D | 25 | 6/28/1996 | Yes | 181 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 860,541$ | 860,541$ | 0$ | 0$ | No | 860,541$ | 860,541$ | ||||||||
| Morgan Frost | Senators (OTT) | C | 22 | 5/14/1999 | No | 170 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 824,000$ | 824,000$ | 0$ | 0$ | No | 824,000$ | Link | ||||||||
| Nelson Nogier | Senators (OTT) | D | 25 | 5/26/1996 | Yes | 191 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 913,000$ | 913,000$ | 0$ | 0$ | No | 913,000$ | Link / NHL Link | ||||||||
| Nolan Patrick | Senators (OTT) | C/RW | 22 | 9/19/1998 | Yes | 198 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 952,187$ | 952,187$ | 0$ | 0$ | No | 952,187$ | 952,187$ | ||||||||
| Patrick Harper | Senators (OTT) | C | 23 | 7/29/1998 | Yes | 150 Lbs | 5 ft7 | No | No | No | 3 | Pro & Farm | 804,784$ | 804,784$ | 0$ | 0$ | No | 804,784$ | 804,784$ | ||||||||
| Rasmus Sandin | Senators (OTT) | D | 21 | 3/7/2000 | No | 183 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 883,200$ | 883,200$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Ryan Murphy | Senators (OTT) | D | 28 | 3/31/1993 | Yes | 181 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 794,017$ | 794,017$ | 0$ | 0$ | No | 794,017$ | 794,017$ | ||||||||
| Sam Anas | Senators (OTT) | C | 28 | 6/1/1993 | No | 157 Lbs | 5 ft8 | No | No | No | 2 | Pro & Farm | 793,000$ | 793,000$ | 0$ | 0$ | No | 793,000$ | Link | ||||||||
| Sean Durzi | Senators (OTT) | D | 22 | 10/21/1998 | No | 185 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
| Zane McIntyre | Senators (OTT) | G | 29 | 8/20/1992 | No | 206 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 1,460,000$ | 1,460,000$ | 0$ | 0$ | No | 1,460,000$ | 1,460,000$ | Link / NHL Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 25 | 25.00 | 185 Lbs | 6 ft0 | 2.00 | 969,849$ |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 - 2021-09-15 | 14 | Senators | - | Rocket | - | |||||
| 2 - 2021-09-16 | 26 | Senators | - | Barracuda | - | |||||
| 3 - 2021-09-17 | 28 | Monsters | - | Senators | - | |||||
| 4 - 2021-09-18 | 47 | Senators | - | Monsters | - | |||||
| 6 - 2021-09-20 | 62 | Monsters | - | Senators | - | |||||
| 8 - 2021-09-22 | 78 | Devils | - | Senators | - | |||||
| 9 - 2021-09-23 | 91 | Senators | - | Devils | - | |||||
| 10 - 2021-09-24 | 109 | Senators | - | Barracuda | - | |||||
| 11 - 2021-09-25 | 114 | Senators | - | Wolves | - | |||||
| 12 - 2021-09-26 | 127 | Rocket | - | Senators | - | |||||
| 13 - 2021-09-27 | 149 | Barracuda | - | Senators | - | |||||
| 14 - 2021-09-28 | 160 | Senators | - | IceHogs | - | |||||
| 17 - 2021-10-01 | 182 | IceHogs | - | Senators | - | |||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
| 20 - 2021-10-04 | 203 | Wolves | - | Senators | - | |||||
| 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 |
| 7 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
| 0$ | 2,424,623$ | 2,424,623$ | 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$ | 22 | 0$ | 0$ |
| 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 |
| Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2020 | 90 | 29 | 35 | 0 | 4 | 6 | 9 | 7 | 228 | 246 | -18 | 45 | 12 | 21 | 0 | 2 | 3 | 3 | 4 | 105 | 119 | -14 | 45 | 17 | 14 | 0 | 2 | 3 | 6 | 3 | 123 | 127 | -4 | 97 | 228 | 351 | 579 | 2 | 6 | 47 | 79 | 89 | 27 | 1769 | 472 | 563 | 719 | 73 | 1923 | 607 | 660 | 1963 | 234 | 74 | 31.62% | 217 | 59 | 72.81% | 5 | 678 | 1394 | 48.64% | 735 | 1532 | 47.98% | 461 | 971 | 47.48% | 1645 | 642 | 1640 | 978 | 2202 | 1117 |
| Total Regular Season | 90 | 29 | 35 | 0 | 4 | 6 | 9 | 7 | 228 | 246 | -18 | 45 | 12 | 21 | 0 | 2 | 3 | 3 | 4 | 105 | 119 | -14 | 45 | 17 | 14 | 0 | 2 | 3 | 6 | 3 | 123 | 127 | -4 | 97 | 228 | 351 | 579 | 2 | 6 | 47 | 79 | 89 | 27 | 1769 | 472 | 563 | 719 | 73 | 1923 | 607 | 660 | 1963 | 234 | 74 | 31.62% | 217 | 59 | 72.81% | 5 | 678 | 1394 | 48.64% | 735 | 1532 | 47.98% | 461 | 971 | 47.48% | 1645 | 642 | 1640 | 978 | 2202 | 1117 |
Barracuda
Bruins
Comets
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