Senators

GP: 82 | W: 44 | L: 30 | OTL: 8 | P: 96
GF: 316 | GA: 285 | PP%: 19.61% | PK%: 77.29%
GM : Olivier Paquin | Morale : 50 | Team Overall : 56
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9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
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# 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 SPAgeContractSalary Average
1Alex Formenton (R)X100.00727371767367686650616864654444050620202742,500$
2Brendan PerliniXX100.00694490847959716626585960756464050620232850,000$
3Alexandre Texier (R)X100.00674290837163676442657060254747050620203925,000$
4Kevin RooneyX100.00796587687362816066585879255656050620263850,000$
5Jayce HawrylukXX100.008746826767585461386762602557570505902321,300,000$
6Jaret Anderson-Dolan (R)XX100.00726783796763645974595462514444050590203792,500$
7Mackenzie MacEachernX100.00816483627253746232546267255555050590254560,000$
8Jeremy BraccoX100.00756596606473775850694964454747050590221700,000$
9Anthony RichardXX100.00706287625980855467485863565555050580221860,000$
10Jansen HarkinsX100.00675091676860825436585661255353050580221825,000$
11Isaac Ratcliffe (R)X100.00797979677970765050474863464444050560204780,833$
12Matthew Strome (R)X100.00827892557861644950454864464444050540203990,000$
13Andrew Peeke (R)X100.00764493767463635725484863254646050600212825,000$
14Grant Hutton (R)X100.00797783657764685125444363414444050580241560,000$
15Thomas SchemitschX100.00797781607768745025384262394444050570221700,000$
16Tyler LewingtonX100.00687152627372754825394159404444050560241525,000$
17Joseph CecconiX100.00817691617652544425343963374444050550222925,000$
Scratches
1Kristian ReichelX100.00716586676562645670466261594444050560211560,000$
2Dmitrij JaskinXX100.00703588637552454735474758474946050520262560,000$
3Cam Morrison (R)X100.00414545457439394145414145433230050420212825,000$
4Luke Martin (R)X100.00575585607854763525343050325858050520214700,000$
TEAM AVERAGE100.0072618366726268544250526142484805057
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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
10textAny 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
1Kasimir Kaskisuo100.0056597378575953595658304444050570
2Filip Gustavsson100.0055577172495851615753304444050550
Scratches
1Maksim Zhukov (R)100.0045666270404740444043435454050490
2Kent Simpson100.0037454174363333343333333532050390
TEAM AVERAGE100.004857627446494450474734444405050
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP 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
1Alexandre TexierSenators (Ott)C8246469225120491953299221713.98%24127515.568816491340008879143.90%160600011.4401000772
2Kevin RooneySenators (Ott)C82335083134551582163891272948.48%55138416.89812206717611261585157.70%167600101.2017010629
3Troy TerryOttawaC/RW6717547128409132247911746.88%8115717.273141748169000041043.31%12700011.2300000114
4Andrew PeekeSenators (Ott)D8218527020480225831725510910.47%156196723.9941014682321234214200.00%000000.7100000653
5Mackenzie MacEachernSenators (Ott)LW8229336215560205100295732029.83%35132816.216511341240001427141.84%14100000.9300000233
6Alex FormentonSenators (Ott)LW5225356026335106114293812148.53%17116422.401674213321381321244.93%36500101.0314001570
7Brendan PerliniSenators (Ott)LW/RW67243559110049147318962277.55%22124618.605813681930006934236.67%15000010.9513000115
8Jayce HawrylukSenators (Ott)C/RW8218355316380187160257751977.00%16117714.3611210361014614038.52%81000010.9000000142
9Jeremy BraccoSenators (Ott)RW8212344617403599175521246.86%9101412.371018230001120147.13%8700000.9100000111
10Jaret Anderson-DolanSenators (Ott)C/LW75142842329583148168381358.33%1397813.050336290002322158.18%93500000.8634010113
11Thomas SchemitschSenators (Ott)D8212152716831517147104336311.54%126171020.85415281900114175200.00%000000.3200021021
12Joseph CecconiSenators (Ott)D7872027169020209328126438.64%96114614.69213922000123000.00%000000.4700121031
13Jansen HarkinsSenators (Ott)C65111526-280457411428839.65%85518.4900002000002042.72%53600000.9400000300
14Tyler LewingtonSenators (Ott)D82422267635215348819484.55%118168920.60235221810001169000.00%000000.3100001102
15Isaac RatcliffeSenators (Ott)LW6512132592956159113319110.62%1573111.2500001000010041.30%4600000.6800100100
16Vladimir SobotkaOttawaC/LW17910198180335383186610.84%934220.1330322510002230154.63%44300001.1100000010
17Jan RuttaOttawaD1731518912025334420276.82%3740123.622352146000036100.00%000000.9000000002
18Dillon DubeOttawaC/RW2061117-42020476718438.96%341620.8204410661123670033.14%50700000.8214000210
19Kristian ReichelSenators (Ott)C4589171160123459173913.56%12545.6500002000031152.89%32900001.3400000021
20Gabriel VilardiOttawaC1759140001496618387.58%126915.85000000112331163.49%30400001.0400000003
21Anthony RichardSenators (Ott)C/LW406814-48042508120617.41%755313.8400000000010062.50%6400000.5100000110
22Grant HuttonSenators (Ott)D2158131429564152851717.86%3144020.95011733000038000.00%000000.5900001002
23Dmitrij JaskinSenators (Ott)LW/RW49279-46036345316453.77%83366.8600000000020028.00%2500000.5400000100
24Luke MartinSenators (Ott)D243144406894433.33%1236615.2800001000022100.00%000000.2200000001
25Matthew StromeSenators (Ott)LW16101-1204452420.00%2885.5600002000070066.67%1200000.2200000000
Team Total or Average139133056589524363965205019673638105525659.07%8292199215.81508013051918586713531446431248.78%816300240.81723265404245
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Kasimir KaskisuoSenators (Ott)82432780.9093.4946486327029770210.57726820642
2Filip GustavssonSenators (Ott)91300.9621.523150082130000.0000082000
Team Total or Average91443080.9133.3649646327831900210.577268282642


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PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Alex FormentonSenators (Ott)LW201999-09-13Yes190 Lbs6 ft3NoNoNo2Pro & Farm742,500$74,250$0$No742,500$Link
Alexandre TexierSenators (Ott)C201999-09-13Yes192 Lbs6 ft1NoNoNo3Pro & Farm925,000$92,500$0$No925,000$925,000$Link
Andrew PeekeSenators (Ott)D211998-03-17Yes198 Lbs6 ft3NoNoNo2Pro & Farm825,000$82,500$0$No825,000$Link
Anthony RichardSenators (Ott)C/LW221996-12-19No163 Lbs5 ft10YesNoNo1Pro & Farm860,000$86,000$0$NoLink
Brendan PerliniSenators (Ott)LW/RW231996-04-27No212 Lbs6 ft3NoNoNo2Pro & Farm850,000$85,000$0$No850,000$Link
Cam MorrisonSenators (Ott)LW211998-08-27Yes212 Lbs6 ft3NoNoNo2Pro & Farm825,000$82,500$0$No825,000$Link
Dmitrij JaskinSenators (Ott)LW/RW261993-03-23No216 Lbs6 ft2NoNoNo2Pro & Farm560,000$56,000$0$No560,000$Link
Filip GustavssonSenators (Ott)G211998-06-07No184 Lbs6 ft2NoNoNo2Pro & Farm742,500$74,250$0$No742,500$Link
Grant HuttonSenators (Ott)D241995-07-25Yes205 Lbs6 ft3YesNoNo1Pro & Farm560,000$56,000$0$NoLink
Isaac RatcliffeSenators (Ott)LW201999-02-15Yes201 Lbs6 ft6NoNoNo4Pro & Farm780,833$78,083$0$No780,833$780,833$780,833$Link
Jansen HarkinsSenators (Ott)C221997-05-23No182 Lbs6 ft1NoNoNo1Pro & Farm825,000$82,500$0$NoLink
Jaret Anderson-DolanSenators (Ott)C/LW201999-09-11Yes188 Lbs5 ft11NoNoNo3Pro & Farm792,500$79,250$0$No792,500$792,500$Link
Jayce HawrylukSenators (Ott)C/RW231996-01-01No186 Lbs5 ft11NoNoNo2Pro & Farm1,300,000$130,000$0$No1,300,000$Link
Jeremy BraccoSenators (Ott)RW221997-03-17No180 Lbs5 ft9NoNoNo1Pro & Farm700,000$70,000$0$NoLink
Joseph CecconiSenators (Ott)D221997-05-23No209 Lbs6 ft2NoNoNo2Pro & Farm925,000$92,500$0$No925,000$Link
Kasimir KaskisuoSenators (Ott)G261993-10-01No201 Lbs6 ft2NoNoNo2Pro & Farm925,000$92,500$0$No925,000$Link
Kent SimpsonSenators (Ott)G271992-03-26No198 Lbs6 ft2NoNoNo1Pro & Farm550,000$55,000$0$NoLink
Kevin RooneySenators (Ott)C261993-05-21No190 Lbs6 ft2NoNoNo3Pro & Farm850,000$85,000$0$No850,000$850,000$Link
Kristian ReichelSenators (Ott)C211998-06-11No176 Lbs6 ft0YesNoNo1Pro & Farm560,000$56,000$0$NoLink
Luke MartinSenators (Ott)D211998-09-20Yes218 Lbs6 ft2NoNoNo4Pro & Farm700,000$70,000$0$No700,000$700,000$700,000$Link
Mackenzie MacEachernSenators (Ott)LW251994-03-08No190 Lbs6 ft2YesNoNo4Pro & Farm560,000$56,000$0$No560,000$560,000$560,000$Link
Maksim ZhukovSenators (Ott)G201999-07-22Yes187 Lbs6 ft3YesNoNo1Pro & Farm560,000$56,000$0$NoLink
Matthew StromeSenators (Ott)LW201999-01-05Yes206 Lbs6 ft4YesNoNo3Pro & Farm990,000$99,000$0$No990,000$990,000$Link
Thomas SchemitschSenators (Ott)D221996-10-25No200 Lbs6 ft4NoNoNo1Pro & Farm700,000$70,000$0$NoLink
Tyler LewingtonSenators (Ott)D241994-12-05No189 Lbs6 ft1NoNoNo1Pro & Farm525,000$52,500$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2522.36195 Lbs6 ft22.04765,333$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alex FormentonKevin RooneyBrendan Perlini40122
2Mackenzie MacEachernAlexandre TexierJayce Hawryluk30122
3Anthony RichardJaret Anderson-DolanJeremy Bracco20122
4Isaac RatcliffeJansen HarkinsAlex Formenton10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Andrew PeekeGrant Hutton40122
2Thomas SchemitschTyler Lewington30122
3Joseph CecconiJansen Harkins20122
4Andrew PeekeGrant Hutton10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alex FormentonKevin RooneyBrendan Perlini60122
2Mackenzie MacEachernAlexandre TexierJayce Hawryluk40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Andrew PeekeGrant Hutton60122
2Thomas SchemitschTyler Lewington40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Alex FormentonBrendan Perlini60122
2Kevin RooneyAlexandre Texier40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Andrew PeekeGrant Hutton60122
2Thomas SchemitschTyler Lewington40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Alex Formenton60122Andrew PeekeGrant Hutton60122
2Brendan Perlini40122Thomas SchemitschTyler Lewington40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Alex FormentonBrendan Perlini60122
2Kevin RooneyAlexandre Texier40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Andrew PeekeGrant Hutton60122
2Thomas SchemitschTyler Lewington40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Alex FormentonKevin RooneyBrendan PerliniAndrew PeekeGrant Hutton
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Alex FormentonKevin RooneyBrendan PerliniAndrew PeekeGrant Hutton
Extra Forwards
Normal PowerPlayPenalty Kill
Matthew Strome, Jaret Anderson-Dolan, Jeremy BraccoMatthew Strome, Jaret Anderson-DolanJeremy Bracco
Extra Defensemen
Normal PowerPlayPenalty Kill
Joseph Cecconi, Thomas Schemitsch, Tyler LewingtonJoseph CecconiThomas Schemitsch, Tyler Lewington
Penalty Shots
Alex Formenton, Brendan Perlini, Kevin Rooney, Alexandre Texier, Mackenzie MacEachern
Goalie
#1 : Kasimir Kaskisuo, #2 : Filip Gustavsson


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PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# 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
1Admirals210000018801000000134-11100000054130.750812200013487898811181112111826875221661500.00%6266.67%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
2Baby Hawks21000100734110000005051000010023-130.750713200113487898102118111211182686714126413323.08%50100.00%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
3Bears31200000912-31010000025-32110000077020.3339172600134878981361181112111826815137267114214.29%13284.62%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
4Bruins431000001266211000008532200000041360.75012233501134878981381181112111826814940311191300.00%11190.91%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
5Cabaret Lady Mary Ann4310000025111422000000173142110000088060.75025406500134878982651181112111826815445301048225.00%14471.43%21485310047.90%1398306445.63%641141045.46%2013142719185891040517
6Caroline311000101715210000010541211000001211140.6671725420013487898141118111211182681473637864250.00%10370.00%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
7Chiefs2010001045-11010000024-21000001021120.50045900134878986711811121118268681620634125.00%10280.00%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
8Chill2020000069-31010000035-21010000034-100.00069150013487898741181112111826876174496116.67%2150.00%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
9Comets201010006601010000023-11000100043120.5006121800134878989211811121118268862518396233.33%9366.67%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
10Cougars402000021322-920100001510-520100001812-420.25013213400134878981511181112111826818652281028225.00%14564.29%11485310047.90%1398306445.63%641141045.46%2013142719185891040517
11Crunch412000011416-2211000008802010000168-230.375142741001348789818011811121118268159472311311218.18%9277.78%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
12Heat21100000954110000007251010000023-120.5009162500134878989311811121118268671712448337.50%6350.00%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
13Jayhawks2020000049-51010000015-41010000034-100.00048120013487898791181112111826889231649400.00%8362.50%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
14Las Vegas22000000945110000005231100000042241.00091524001348789885118111211182685514164614321.43%8362.50%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
15Manchots321000001183110000004222110000076140.667112233001348789812611811121118268942225798112.50%10190.00%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
16Marlies422000001213-12200000010462020000029-740.500122133001348789813511811121118268132373510512216.67%14192.86%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
17Minnesota210010001192100010006511100000054141.00011203100134878981621181112111826890262065200.00%10460.00%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
18Monarchs22000000743110000004311100000031241.000713200013487898851181112111826874204489333.33%2150.00%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
19Monsters312000001015-51010000026-42110000089-120.3331016261013487898105118111211182681182322767228.57%9188.89%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
20Monsters20100001610-41000000134-11010000036-310.2506101600134878988511811121118268921723505120.00%9277.78%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
21Oceanics211000008711010000034-11100000053220.50081422001348789870118111211182688421143510220.00%50100.00%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
22Oil Kings211000007701010000045-11100000032120.5007121900134878988111811121118268802816479444.44%8275.00%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
23Phantoms311000101213-12100001010821010000025-340.667122133001348789896118111211182681463848848225.00%14378.57%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
24Rocket422000001415-12110000057-22110000098140.50014253900134878981301181112111826816147221111218.33%11190.91%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
25Sharks2010000169-31000000123-11010000046-210.2506111700134878987611811121118268702221558112.50%8362.50%11485310047.90%1398306445.63%641141045.46%2013142719185891040517
26Sound Tigers31101000131302110000089-11000100054140.6671322350013487898124118111211182681283319739222.22%6183.33%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
27Spiders330000001174220000007431100000043161.00011193000134878981101181112111826811141247915426.67%12191.67%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
28Stars21000100972110000006331000010034-130.750915240013487898991181112111826872198325120.00%4175.00%01485310047.90%1398306445.63%641141045.46%2013142719185891040517
29Thunder431000001881021100000770220000001111060.750183048011348789818011811121118268118403691600.00%16287.50%21485310047.90%1398306445.63%641141045.46%2013142719185891040517
Total82383003236316285314120140102416614026411816022121501455960.5853165478631313487898352711811121118268319185764821062555019.61%2736277.29%71485310047.90%1398306445.63%641141045.46%2013142719185891040517
30Wolf Pack3300000018992200000012661100000063361.000183351001348789817911811121118268921822661218.33%10460.00%11485310047.90%1398306445.63%641141045.46%2013142719185891040517
_Since Last GM Reset82383003236316285314120140102416614026411816022121501455960.5853165478631313487898352711811121118268319185764821062555019.61%2736277.29%71485310047.90%1398306445.63%641141045.46%2013142719185891040517
_Vs Conference432415010121611412022127000128575102112801000766610540.6281612834441213487898171511811121118268161843134710911422316.20%1382482.61%41485310047.90%1398306445.63%641141045.46%2013142719185891040517

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8296W131654786335273191857648210613
All Games
GPWLOTWOTL SOWSOLGFGA
8238303236316285
Home Games
GPWLOTWOTL SOWSOLGFGA
4120141024166140
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4118162212150145
Last 10 Games
WLOTWOTL SOWSOL
730000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2555019.61%2736277.29%7
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
1181112111826813487898
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1485310047.90%1398306445.63%641141045.46%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2013142719185891040517


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2020-10-221Senators1Marlies4LBoxScore
4 - 2020-10-2520Wolf Pack3Senators6WBoxScore
9 - 2020-10-3051Chiefs4Senators2LBoxScore
11 - 2020-11-0162Thunder2Senators4WBoxScore
13 - 2020-11-0379Minnesota5Senators6WXBoxScore
16 - 2020-11-06105Senators4Las Vegas2WBoxScore
18 - 2020-11-08115Senators3Jayhawks4LBoxScore
20 - 2020-11-10132Senators3Stars4LXBoxScore
22 - 2020-11-12143Cougars5Senators1LBoxScore
24 - 2020-11-14158Sound Tigers6Senators3LBoxScore
26 - 2020-11-16173Sharks3Senators2LXXBoxScore
32 - 2020-11-22207Senators2Bruins1WBoxScore
34 - 2020-11-24221Senators6Wolf Pack3WBoxScore
35 - 2020-11-25225Senators5Sound Tigers4WXBoxScore
37 - 2020-11-27242Monarchs3Senators4WBoxScore
39 - 2020-11-29256Caroline4Senators5WXXBoxScore
41 - 2020-12-01271Senators5Caroline6LBoxScore
43 - 2020-12-03281Senators4Spiders3WBoxScore
45 - 2020-12-05298Phantoms4Senators5WXXBoxScore
46 - 2020-12-06304Senators4Crunch5LXXBoxScore
49 - 2020-12-09323Senators4Cougars5LXXBoxScore
50 - 2020-12-10331Senators4Rocket5LBoxScore
52 - 2020-12-12347Wolf Pack3Senators6WBoxScore
55 - 2020-12-15369Senators3Monsters2WBoxScore
57 - 2020-12-17378Bruins4Senators3LBoxScore
59 - 2020-12-19395Senators5Minnesota4WBoxScore
60 - 2020-12-20405Senators2Heat3LBoxScore
63 - 2020-12-23432Senators4Comets3WXBoxScore
64 - 2020-12-24436Senators3Oil Kings2WBoxScore
67 - 2020-12-27452Senators2Phantoms5LBoxScore
69 - 2020-12-29470Bruins1Senators5WBoxScore
71 - 2020-12-31485Senators5Rocket3WBoxScore
74 - 2021-01-03501Monsters6Senators2LBoxScore
76 - 2021-01-05519Senators3Cabaret Lady Mary Ann2WBoxScore
77 - 2021-01-06526Senators5Thunder1WBoxScore
79 - 2021-01-08542Chill5Senators3LBoxScore
81 - 2021-01-10558Phantoms4Senators5WBoxScore
83 - 2021-01-12575Crunch2Senators3WBoxScore
89 - 2021-01-18603Spiders3Senators4WBoxScore
90 - 2021-01-19612Senators6Manchots3WBoxScore
93 - 2021-01-22632Cabaret Lady Mary Ann2Senators9WBoxScore
95 - 2021-01-24648Thunder5Senators3LBoxScore
98 - 2021-01-27667Senators4Bears2WBoxScore
101 - 2021-01-30689Senators4Cougars7LBoxScore
102 - 2021-01-31693Rocket6Senators3LBoxScore
105 - 2021-02-03720Baby Hawks0Senators5WBoxScore
107 - 2021-02-05734Las Vegas2Senators5WBoxScore
109 - 2021-02-07746Heat2Senators7WBoxScore
118 - 2021-02-16769Spiders1Senators3WBoxScore
119 - 2021-02-17774Senators2Crunch3LBoxScore
122 - 2021-02-20787Bears5Senators2LBoxScore
123 - 2021-02-21796Senators1Marlies5LBoxScore
126 - 2021-02-24819Admirals4Senators3LXXBoxScore
128 - 2021-02-26833Monsters4Senators3LXXBoxScore
130 - 2021-02-28843Senators5Oceanics3WBoxScore
133 - 2021-03-03874Senators3Monsters6LBoxScore
135 - 2021-03-05885Jayhawks5Senators1LBoxScore
137 - 2021-03-07901Marlies3Senators6WBoxScore
138 - 2021-03-08911Stars3Senators6WBoxScore
140 - 2021-03-10922Crunch6Senators5LBoxScore
142 - 2021-03-12937Oceanics4Senators3LBoxScore
144 - 2021-03-14952Rocket1Senators2WBoxScore
146 - 2021-03-16967Senators5Monsters7LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
147 - 2021-03-17977Senators3Chill4LBoxScore
149 - 2021-03-19988Comets3Senators2LBoxScore
151 - 2021-03-211005Cougars5Senators4LXXBoxScore
154 - 2021-03-241022Senators1Manchots3LBoxScore
156 - 2021-03-261038Sound Tigers3Senators5WBoxScore
158 - 2021-03-281053Senators4Sharks6LBoxScore
161 - 2021-03-311078Senators5Admirals4WBoxScore
162 - 2021-04-011082Senators3Monarchs1WBoxScore
164 - 2021-04-031095Senators2Baby Hawks3LXBoxScore
166 - 2021-04-051111Senators2Chiefs1WXXBoxScore
169 - 2021-04-081132Oil Kings5Senators4LBoxScore
171 - 2021-04-101147Senators3Bears5LBoxScore
172 - 2021-04-111158Senators7Caroline5WBoxScore
175 - 2021-04-141182Cabaret Lady Mary Ann1Senators8WBoxScore
177 - 2021-04-161191Senators2Bruins0WBoxScore
179 - 2021-04-181209Marlies1Senators4WBoxScore
182 - 2021-04-211228Senators6Thunder0WBoxScore
184 - 2021-04-231243Senators5Cabaret Lady Mary Ann6LBoxScore
186 - 2021-04-251263Manchots2Senators4WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price5020
Attendance50,01926,741
Attendance PCT61.00%65.22%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 1872 - 62.41% 74,043$3,035,770$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,797,846$ 1,913,333$ 1,913,333$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
10,287$ 1,797,846$ 25 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 10,287$ 0$




OverallHomeVisitor
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