Senators | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Tyler Charkie | Morale : 50 | Team Overall : 68 Next Games #9 vs Maple Leafs |
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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 | Michael Rasmussen | X | X | 100.00 | 74 | 64 | 75 | 69 | 80 | 72 | 87 | 65 | 74 | 69 | 68 | 74 | 54 | 63 | 59 | 0 | 50 | 70 | 0 | 25 | 4 | 3,200,000$ | |||
2 | Pius Suter | X | X | X | 100.00 | 72 | 40 | 89 | 70 | 69 | 72 | 88 | 64 | 73 | 65 | 69 | 76 | 66 | 62 | 58 | 0 | 50 | 69 | 0 | 28 | 2 | 3,000,000$ | ||
3 | Josh Anderson | X | 100.00 | 80 | 68 | 76 | 74 | 87 | 74 | 89 | 62 | 59 | 64 | 67 | 66 | 59 | 70 | 65 | 0 | 50 | 69 | 0 | 30 | 2 | 5,500,000$ | ||||
4 | Robby Fabbri | X | X | 100.00 | 77 | 40 | 82 | 71 | 71 | 68 | 76 | 66 | 76 | 65 | 71 | 67 | 55 | 66 | 59 | 0 | 50 | 69 | 0 | 28 | 2 | 3,000,000$ | |||
5 | Miles Wood | X | X | 100.00 | 72 | 65 | 73 | 76 | 74 | 67 | 84 | 63 | 55 | 66 | 65 | 67 | 54 | 68 | 65 | 0 | 50 | 68 | 0 | 29 | 5 | 2,500,000$ | |||
6 | Tanner Jeannot | X | 100.00 | 87 | 80 | 77 | 74 | 86 | 66 | 88 | 60 | 59 | 63 | 64 | 72 | 54 | 61 | 58 | 0 | 50 | 68 | 0 | 27 | 4 | 2,100,000$ | ||||
7 | Nicklas Backstrom | X | 100.00 | 62 | 40 | 79 | 71 | 79 | 73 | 65 | 58 | 76 | 64 | 57 | 61 | 62 | 89 | 73 | 0 | 50 | 65 | 0 | 36 | 1 | 8,500,000$ | ||||
8 | Connor Brown | X | 100.00 | 66 | 40 | 89 | 71 | 69 | 68 | 75 | 56 | 56 | 59 | 59 | 69 | 54 | 70 | 65 | 0 | 50 | 64 | 0 | 30 | 1 | 3,900,000$ | ||||
9 | Juuso Valimaki | X | 100.00 | 66 | 40 | 85 | 74 | 79 | 81 | 84 | 60 | 40 | 67 | 59 | 87 | 54 | 60 | 58 | 0 | 50 | 70 | 0 | 25 | 3 | 2,000,000$ | ||||
10 | Erik Brannstrom | X | X | 100.00 | 65 | 40 | 81 | 71 | 74 | 75 | 87 | 59 | 40 | 66 | 58 | 85 | 54 | 61 | 58 | 0 | 50 | 68 | 0 | 25 | 3 | 2,000,000$ | |||
11 | Logan Stanley | X | 100.00 | 70 | 78 | 71 | 67 | 87 | 69 | 65 | 53 | 40 | 61 | 57 | 79 | 54 | 58 | 58 | 0 | 50 | 65 | 0 | 26 | 1 | 1,250,000$ | ||||
12 | Nick Blankenburg | X | 100.00 | 64 | 48 | 78 | 61 | 66 | 71 | 62 | 58 | 41 | 62 | 59 | 72 | 55 | 59 | 58 | 0 | 50 | 64 | 0 | 26 | 3 | 2,000,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Thomas Novak | X | 100.00 | 66 | 42 | 89 | 82 | 65 | 69 | 76 | 70 | 66 | 69 | 71 | 64 | 64 | 59 | 58 | 0 | 50 | 70 | 0 | 27 | 4 | 4,500,000$ | ||||
2 | Brendan Lemieux | X | 100.00 | 81 | 79 | 77 | 66 | 87 | 56 | 71 | 57 | 54 | 62 | 61 | 63 | 54 | 64 | 59 | 0 | 50 | 64 | 0 | 28 | 1 | 2,750,000$ | ||||
3 | Jack Johnson | X | 100.00 | 68 | 40 | 86 | 65 | 93 | 74 | 91 | 57 | 40 | 63 | 58 | 85 | 58 | 91 | 70 | 0 | 50 | 70 | 0 | 37 | 2 | 2,000,000$ | ||||
4 | Zach Bogosian | X | 100.00 | 70 | 57 | 76 | 74 | 90 | 77 | 79 | 57 | 40 | 64 | 58 | 86 | 68 | 80 | 68 | 0 | 50 | 70 | 0 | 34 | 2 | 2,100,000$ | ||||
5 | Adam Boqvist | X | 100.00 | 61 | 40 | 94 | 76 | 72 | 80 | 70 | 60 | 40 | 69 | 59 | 70 | 54 | 60 | 58 | 0 | 50 | 67 | 0 | 24 | 3 | 3,000,000$ | ||||
TEAM AVERAGE | 100.00 | 71 | 53 | 81 | 71 | 78 | 71 | 79 | 60 | 55 | 65 | 62 | 73 | 57 | 67 | 62 | 0 | 50 | 68 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Kris Knoblauch | 80 | 80 | 84 | 78 | 70 | 67 | 1 | CAN | 45 | 2 | 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 |
---|
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 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Boqvist | Senators | D | 24 | 2000-08-15 | SWE | No | 189 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 3,000,000$ | No | 3,000,000$ | 3,000,000$ | - | - | - | - | - | - | - | 3,000,000$ | 3,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | ||
Brendan Lemieux | Senators | LW | 28 | 1996-03-15 | USA | No | 215 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 2,750,000$ | 2,750,000$ | 2,750,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Connor Brown | Senators | RW | 30 | 1994-01-14 | CAN | No | 182 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,900,000$ | 3,900,000$ | 3,900,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Erik Brannstrom | Senators | LW/D | 25 | 1999-09-02 | SWE | No | 184 Lbs | 5 ft10 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 2,000,000$ | 2,000,000$ | 2,000,000$ | No | 2,000,000$ | 2,000,000$ | - | - | - | - | - | - | - | 2,000,000$ | 2,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | ||
Jack Johnson | Senators | D | 37 | 1987-01-13 | USA | No | 226 Lbs | 6 ft0 | No | No | Free Agent | No | No | 2 | 2024-07-27 | False | False | Pro & Farm | 2,000,000$ | 2,000,000$ | 2,000,000$ | No | 2,000,000$ | - | - | - | - | - | - | - | - | 2,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
Josh Anderson | Senators | RW | 30 | 1994-05-07 | CAN | No | 224 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 5,500,000$ | 5,500,000$ | 5,500,000$ | No | 5,500,000$ | - | - | - | - | - | - | - | - | 5,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Juuso Valimaki | Senators | D | 25 | 1998-10-06 | FIN | No | 204 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 2,000,000$ | 2,000,000$ | 2,000,000$ | No | 2,000,000$ | 2,000,000$ | - | - | - | - | - | - | - | 2,000,000$ | 2,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | ||
Logan Stanley | Senators | D | 26 | 1998-05-26 | CAN | No | 231 Lbs | 6 ft7 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,250,000$ | 1,250,000$ | 1,250,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Michael Rasmussen | Senators | C/LW | 25 | 1999-04-17 | CAN | No | 220 Lbs | 6 ft5 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 3,200,000$ | 3,200,000$ | 3,200,000$ | No | 3,200,000$ | 3,200,000$ | 3,200,000$ | - | - | - | - | - | - | 3,200,000$ | 3,200,000$ | 3,200,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link | ||
Miles Wood | Senators | LW/RW | 29 | 1995-09-13 | USA | No | 193 Lbs | 6 ft2 | No | No | N/A | No | No | 5 | False | False | Pro & Farm | 2,500,000$ | 2,500,000$ | 2,500,000$ | No | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | - | - | - | - | - | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Link | ||
Nick Blankenburg | Senators | D | 26 | 1998-05-12 | USA | No | 176 Lbs | 5 ft8 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 2,000,000$ | 2,000,000$ | 2,000,000$ | No | 2,000,000$ | 2,000,000$ | - | - | - | - | - | - | - | 2,000,000$ | 2,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Nicklas Backstrom | Senators | C | 36 | 1987-11-23 | SWE | No | 202 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 8,500,000$ | 8,500,000$ | 8,500,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Pius Suter | Senators | C/LW/RW | 28 | 1996-05-24 | SUI | No | 178 Lbs | 5 ft10 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 3,000,000$ | No | 3,000,000$ | - | - | - | - | - | - | - | - | 3,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Robby Fabbri | Senators | C/LW | 28 | 1996-01-22 | CAN | No | 184 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 3,000,000$ | No | 3,000,000$ | - | - | - | - | - | - | - | - | 3,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Tanner Jeannot | Senators | LW | 27 | 1997-05-29 | CAN | No | 220 Lbs | 6 ft2 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 2,100,000$ | 2,100,000$ | 2,100,000$ | No | 2,100,000$ | 2,100,000$ | 2,100,000$ | - | - | - | - | - | - | 2,100,000$ | 2,100,000$ | 2,100,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link | ||
Thomas Novak | Senators | C | 27 | 1997-04-28 | USA | No | 178 Lbs | 6 ft0 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 4,500,000$ | 4,500,000$ | 4,500,000$ | No | 4,500,000$ | 4,500,000$ | 4,500,000$ | - | - | - | - | - | - | 4,500,000$ | 4,500,000$ | 4,500,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link | ||
Zach Bogosian | Senators | D | 34 | 1990-07-15 | USA | No | 231 Lbs | 6 ft3 | No | No | Free Agent | No | No | 2 | 2024-07-26 | False | False | Pro & Farm | 2,100,000$ | 2,100,000$ | 2,100,000$ | No | 2,100,000$ | - | - | - | - | - | - | - | - | 2,100,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
17 | 28.53 | 202 Lbs | 6 ft1 | 2.53 | 3,135,294$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
53,300,000$ | 36,900,000$ | 21,300,000$ | 12,300,000$ | 2,500,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Connor Brown | 36 | 0 | 2 | 3 | ||
2 | Nicklas Backstrom | 29 | 1 | 2 | 2 | ||
3 | Pius Suter | 22 | 1 | 4 | 0 | ||
4 | Miles Wood | 13 | 0 | 5 | 0 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Nick Blankenburg | 34 | 2 | 1 | 2 | ||
2 | Erik Brannstrom | Juuso Valimaki | 33 | 3 | 1 | 1 | |
3 | Logan Stanley | 32 | 1 | 1 | 3 | ||
4 | Nick Blankenburg | 1 | 0 | 0 | 5 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Nicklas Backstrom | Connor Brown | 60 | 0 | 0 | 5 | |
2 | Pius Suter | 40 | 0 | 0 | 5 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Erik Brannstrom | Nick Blankenburg | 60 | 0 | 0 | 5 | |
2 | Juuso Valimaki | 40 | 0 | 1 | 4 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 4 | 0 | ||
2 | Pius Suter | 40 | 1 | 4 | 0 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Nick Blankenburg | Logan Stanley | 60 | 1 | 4 | 0 |
2 | Erik Brannstrom | Juuso Valimaki | 40 | 1 | 4 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Nicklas Backstrom | 60 | 1 | 2 | 2 | Nick Blankenburg | 60 | 1 | 2 | 2 | |
2 | Pius Suter | 40 | 1 | 2 | 2 | Erik Brannstrom | Juuso Valimaki | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Nicklas Backstrom | 60 | 1 | 2 | 2 | |
2 | Pius Suter | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Nick Blankenburg | 60 | 1 | 2 | 2 | |
2 | Erik Brannstrom | Juuso Valimaki | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Nicklas Backstrom | Connor Brown | Nick Blankenburg |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Pius Suter | Connor Brown | Nick Blankenburg |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Erik Brannstrom, Pius Suter, | Erik Brannstrom, Pius Suter | Erik Brannstrom |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Juuso Valimaki, Logan Stanley, | Juuso Valimaki | Nick Blankenburg, Logan Stanley |
Penalty Shots |
---|
, Connor Brown, Nicklas Backstrom, , Erik Brannstrom |
Goalie |
---|
#1 : , #2 : |
Custom OT Lines Forwards |
---|
, Connor Brown, Nicklas Backstrom, , Erik Brannstrom, Pius Suter, Pius Suter, , , Miles Wood, |
Custom OT Lines Defensemen |
---|
, Nick Blankenburg, Erik Brannstrom, Juuso Valimaki, Logan Stanley |
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 | ||||||||||||
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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 | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
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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 |
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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 |
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0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
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Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
Puck Time | |||||
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In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
0 | 0 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
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2 | 9 | Senators | - | Maple Leafs | - | |||||
4 | 22 | Maple Leafs | - | Senators | - | |||||
6 | 35 | Sabres | - | Senators | - | |||||
9 | 59 | Penguins | - | Senators | - | |||||
11 | 71 | Senators | - | Canadiens | - | |||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
14 | 90 | Senators | - | Red Wings | - | |||||
15 | 100 | Canadiens | - | Senators | - |
Arena Capacity - Ticket Price Attendance - % | |||||
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Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 8000 | 5500 | 4000 | 4500 | 2000 |
Ticket Price | 60 | 35 | 19 | 12 | 150 |
Attendance | 0% | 0% | 0% | 0% | 0% |
Attendance PCT | 0% | 0% | 0% | 0% | 0% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
4 | 0 - 0% | 0$ | 0$ | 24000 | 100 |
Expenses | ||||
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Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
0$ | 53,300,000$ | 53,300,000$ | 500,000$0$ | 5,250,000$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
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0$ | 0$ | 0$ | 17 | 0 |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 15 | 0$ | 0$ |
Team Total Estimate | ||
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Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 108,590,311$ | 108,590,311$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
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0$ | 83,500,000$ | 83,500,000$ | -61,700,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Last Trade Date | Link |
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Year | R1 | |||
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25 | ||||
26 | ||||
27 | ||||
28 | ||||
29 | ||||
Conditional Draft Picks |
# | 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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