Senators

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Marc-André Bilodeau Lamontagne | Morale : 50 | Team Overall : 62
Next Games #17 vs Bears

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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 #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
1Nikita Alexandrov0X100.006437886873838567706466626663656750650
2Andrew Poturalski0X100.005736866769908166736858596269713650640
3Benoit-Olivier Groulx0XX100.006939796480848362756061686463657050640
4Justin Bailey0X100.007641796189887959545860675968705950640
5Michael Carcone0X100.006842666563768767636668596567693750640
6Max McCormick0X100.006639716570868464686562636471753850640
7A.J. Greer0XX100.007771586685738365646062586367686450630
8Jakub Lauko0X100.007143696574788164636063596264656650630
9Jake Neighbours0X100.006840886675817364605965626661638050630
10MacKenzie Entwistle0XX100.008339896480788362755960635866646550630
11Martin Kaut0X100.006738906378848264666360626664658250630
12Sam Poulin0X100.006838796479807666546558606162648250630
13Jordan Oesterle0X100.006037936672877864307157655273723450660
14Calle Rosen0X100.005535936875868065307068665868703650660
15Travis Dermott0X100.006636936875837364306259635168706650650
16Samuel Bolduc0X100.007840886390838460306263615363646950650
17Andreas Englund0X100.008053626081788259306158644967696450650
18Vincent Iorio0X100.007239956286807263306858615061637150640
Scratches
1Alexander True0X100.008141785991778657655855605666684250620
2Juraj Slafkovsky (R)0X100.006741746691806664566058596158599450620
3Gabriel Fortier0X100.007236866268798861555859606263656850620
4Mitchell Chaffee0X100.008140896178897159575564606365674250620
5Jasper Weatherby0X100.007741805691808759815758615665675950620
6Glenn Gawdin0X100.006640715976888357675859656066685750620
7Jean-Sebastien Dea0X100.006037816367808762686061596269713650620
8Cole Schwindt0X100.007038895977838758595657605762646550610
9Oskar Olausson0X100.006237856573817163555860626461638050610
10Xavier Simoneau0X100.006341666462677163706755656362675250610
11Cameron Morrison0X100.007639915885727457615859605765677250610
12Nate Schnarr0X100.007039835679788055615657585364666450600
13Jamieson Rees0X100.005841716167858359706358555662647450600
14Carsen Twarynski0X100.007141815680788755565458596066686150600
15Connor Bunnaman0X100.006940855779838456715258576065675850600
16Shane Gersich0X100.006138805870818356605857545867694850590
17Bryce Kindopp0X100.006337885874698556575153555464664350580
18Samuel Houde0X100.006038825569717554625556535463655750570
19Mitchell Hoelscher0X100.005537905664717054625556525563654950560
20Luke Henman0X100.005638805665728253615455525163656250560
21Luka Burzan0X100.006236955371676252585354515263654950550
22Shakir Mukhamadullin0X100.007339896282656163306954644861638250630
23Xavier Ouellet0X100.006540766074797662306755584970725850630
24Maxence Guenette0X100.006437935974758260306258614962644950620
25Jonathan Aspirot0X100.006543665774697656305855594767693750600
26John Ludvig0X100.007142675580667054305652574663656650590
27Axel Andersson0X100.006138865570637252305453564563656950570
28Luka Profaca0X100.007042725279626851305352544561634550570
TEAM AVERAGE100.00684081617678796054605960576567595062
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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Chris Driedger100.00786160887776787776787769835350740
2Aaron Dell100.00746869777372747372747375884450720
Scratches
1Jesper Wallstedt100.00726768867170727170727161658250700
2Olivier Rodrigue100.00706263706968706968706963696750660
TEAM AVERAGE100.0074656580737274737274736776625071
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Benoit Groulx70657266857966CAN5511,000,000$


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
# 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
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


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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
A.J. GreerLW/RW261996-12-14No208 Lbs6 ft3NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Aaron DellG341989-05-04No213 Lbs6 ft0NoNoNo3UFAPro & Farm750,000$0$0$NoLink / NHL Link
Alexander TrueC261997-07-17No200 Lbs6 ft5NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Andreas EnglundD271996-01-21No189 Lbs6 ft3NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Andrew PoturalskiC291994-01-14No183 Lbs5 ft10NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Axel AnderssonD232000-02-10No178 Lbs6 ft0NoNoNo2RFAPro & Farm500,000$0$0$NoLink
Benoit-Olivier GroulxC/LW232000-02-06No200 Lbs6 ft2NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Bryce KindoppRW241999-06-14No185 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Calle RosenD291994-02-02No188 Lbs6 ft1NoNoNo4UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Cameron MorrisonLW251998-08-27No210 Lbs6 ft3NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Carsen TwarynskiLW251997-11-24No198 Lbs6 ft2NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Chris DriedgerG291994-05-18No208 Lbs6 ft4NoNoNo1UFAPro & Farm2,000,000$0$0$NoLink / NHL Link
Cole SchwindtRW222001-04-25No182 Lbs6 ft2NoNoNo2ELCPro & Farm500,000$0$0$NoLink
Connor BunnamanC251998-04-16No207 Lbs6 ft1NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Gabriel FortierLW232000-02-06No177 Lbs5 ft10NoNoNo2RFAPro & Farm500,000$0$0$NoLink
Glenn GawdinC261997-03-25No191 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jake NeighboursLW212002-03-29No201 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Jakub LaukoC232000-03-28No196 Lbs6 ft0NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jamieson ReesC222001-02-26No172 Lbs5 ft11NoNoNo2ELCPro & Farm500,000$0$0$NoLink
Jasper WeatherbyC251998-01-22No222 Lbs6 ft4NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Jean-Sebastien DeaC291994-02-08No174 Lbs5 ft11NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Jesper WallstedtG202002-11-14No214 Lbs6 ft3NoNoNo4ELCPro & Farm900,000$0$0$NoLink
John LudvigD232000-08-02No213 Lbs6 ft1NoNoNo4RFAPro & Farm500,000$0$0$NoLink
Jonathan AspirotD241999-05-16No200 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jordan OesterleD311992-06-25No187 Lbs6 ft0NoNoNo2UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Juraj SlafkovskyLW192004-03-30Yes238 Lbs6 ft3NoNoNo4ELCPro & Farm900,000$0$0$No
Justin BaileyRW281995-07-01No214 Lbs6 ft4NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Luka BurzanC232000-01-07No184 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Luka ProfacaD212002-03-30No195 Lbs6 ft2NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Luke HenmanC232000-04-29No152 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink
MacKenzie EntwistleC/RW241999-07-14No184 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Martin KautRW231999-10-02No190 Lbs6 ft2NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Max McCormickLW311992-05-01No188 Lbs5 ft11NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Maxence GuenetteD222001-04-28No181 Lbs6 ft1NoNoNo3ELCPro & Farm300,000$0$0$NoLink
Michael CarconeLW271996-05-19No170 Lbs5 ft9NoNoNo1RFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Mitchell ChaffeeRW251998-01-26No201 Lbs6 ft1NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Mitchell HoelscherC232000-01-27No157 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Nate SchnarrC241999-02-25No180 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Nikita AlexandrovC232000-09-16No177 Lbs6 ft1NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Olivier RodrigueG232000-07-06No158 Lbs6 ft1NoNoNo2RFAPro & Farm500,000$0$0$NoLink
Oskar OlaussonRW202002-11-10No180 Lbs6 ft1NoNoNo4ELCPro & Farm900,000$0$0$NoLink
Sam PoulinRW222001-02-25No208 Lbs6 ft1NoNoNo3ELCPro & Farm900,000$0$0$NoLink
Samuel BolducD222000-12-09No220 Lbs6 ft4NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Samuel HoudeC232000-03-08No175 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Shakir MukhamadullinD212002-01-10No178 Lbs6 ft4NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Shane GersichLW271996-07-10No180 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Travis DermottD261996-12-22No202 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Vincent IorioD202002-11-14No200 Lbs6 ft4NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Xavier OuelletD301993-07-29No199 Lbs6 ft0NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Xavier SimoneauC222001-05-19No183 Lbs5 ft6NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
5024.52192 Lbs6 ft12.66501,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Benoit-Olivier GroulxNikita AlexandrovJustin Bailey40122
2Michael CarconeAndrew PoturalskiMartin Kaut30122
3Max McCormickMacKenzie EntwistleA.J. Greer20122
4Jake NeighboursJakub LaukoSam Poulin10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan OesterleCalle Rosen40122
2Andreas EnglundSamuel Bolduc30122
3Travis DermottVincent Iorio20122
4Jordan OesterleCalle Rosen10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Benoit-Olivier GroulxNikita AlexandrovJustin Bailey60122
2Michael CarconeAndrew PoturalskiMartin Kaut40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan OesterleCalle Rosen60122
2Andreas EnglundSamuel Bolduc40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nikita AlexandrovAndrew Poturalski60122
2Benoit-Olivier GroulxJustin Bailey40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan OesterleCalle Rosen60122
2Andreas EnglundSamuel Bolduc40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nikita Alexandrov60122Jordan OesterleCalle Rosen60122
2Andrew Poturalski40122Andreas EnglundSamuel Bolduc40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Nikita AlexandrovAndrew Poturalski60122
2Benoit-Olivier GroulxJustin Bailey40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan OesterleCalle Rosen60122
2Andreas EnglundSamuel Bolduc40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Benoit-Olivier GroulxNikita AlexandrovJustin BaileyJordan OesterleCalle Rosen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Benoit-Olivier GroulxNikita AlexandrovJustin BaileyJordan OesterleCalle Rosen
Extra Forwards
Normal PowerPlayPenalty Kill
Max McCormick, MacKenzie Entwistle, Jake NeighboursMax McCormick, MacKenzie EntwistleJake Neighbours
Extra Defensemen
Normal PowerPlayPenalty Kill
Travis Dermott, Vincent Iorio, Andreas EnglundTravis DermottVincent Iorio, Andreas Englund
Penalty Shots
Nikita Alexandrov, Andrew Poturalski, Benoit-Olivier Groulx, Justin Bailey, Michael Carcone
Goalie
#1 : Chris Driedger, #2 : Aaron Dell


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
5 - 2023-08-1417Senators-Bears-
6 - 2023-08-1525Senators-Phantoms-
12 - 2023-08-2150Rocket-Senators-
16 - 2023-08-2567Admirals-Senators-
18 - 2023-08-2778Marlies-Senators-
19 - 2023-08-2891Marlies-Senators-
25 - 2023-09-03118Senators-Thunderbirds-
26 - 2023-09-04125Senators-Penguins-
30 - 2023-09-08146Crunch-Senators-
32 - 2023-09-10153Monsters-Senators-
34 - 2023-09-12173Monsters-Senators-
37 - 2023-09-15186Senators-Rocket-
39 - 2023-09-17194Moose-Senators-
40 - 2023-09-18211Phantoms-Senators-
47 - 2023-09-25260Senators-Wolfpack-
48 - 2023-09-26263Senators-Islanders-
51 - 2023-09-29270Senators-Comets-
53 - 2023-10-01279Americans-Senators-
54 - 2023-10-02296Americans-Senators-
58 - 2023-10-06312Senators-Rocket-
60 - 2023-10-08317Griffins-Senators-
61 - 2023-10-09334Griffins-Senators-
66 - 2023-10-14357Senators-Monsters-
67 - 2023-10-15360Senators-Monsters-
73 - 2023-10-21400Penguins-Senators-
74 - 2023-10-22405Marlies-Senators-
78 - 2023-10-26425Senators-Marlies-
80 - 2023-10-28436Rocket-Senators-
82 - 2023-10-30451Senators-Marlies-
89 - 2023-11-06487Senators-Moose-
90 - 2023-11-07505Senators-Moose-
93 - 2023-11-10512Moose-Senators-
95 - 2023-11-12519Senators-Marlies-
97 - 2023-11-14545Marlies-Senators-
100 - 2023-11-17557Senators-Comets-
102 - 2023-11-19568Senators-Rocket-
103 - 2023-11-20580Rocket-Senators-
107 - 2023-11-24604Senators-Admirals-
109 - 2023-11-26610Senators-Griffins-
110 - 2023-11-27627Senators-Griffins-
116 - 2023-12-03656Senators-Crunch-
117 - 2023-12-04674Senators-Crunch-
123 - 2023-12-10687Comets-Senators-
124 - 2023-12-11701Comets-Senators-
128 - 2023-12-15720Crunch-Senators-
130 - 2023-12-17726Marlies-Senators-
131 - 2023-12-18738Senators-Comets-
133 - 2023-12-20756Bears-Senators-
135 - 2023-12-22765Senators-Americans-
137 - 2023-12-24775Senators-Americans-
138 - 2023-12-25788Senators-Crunch-
142 - 2023-12-29809Comets-Senators-
144 - 2023-12-31820Americans-Senators-
145 - 2024-01-01834Americans-Senators-
149 - 2024-01-05850Senators-Marlies-
152 - 2024-01-08875Senators-Comets-
Trade Deadline --- Trades can’t be done after this day is simulated!
156 - 2024-01-12898Comets-Senators-
158 - 2024-01-14905Senators-Crunch-
159 - 2024-01-15919Islanders-Senators-
165 - 2024-01-21953Rocket-Senators-
166 - 2024-01-22965Rocket-Senators-
167 - 2024-01-23973Wolfpack-Senators-
172 - 2024-01-281000Senators-Rocket-
173 - 2024-01-291008Senators-Rocket-
179 - 2024-02-041037Thunderbirds-Senators-
180 - 2024-02-051050Crunch-Senators-
184 - 2024-02-091070Senators-Marlies-
186 - 2024-02-111082Senators-Americans-
187 - 2024-02-121090Senators-Americans-
191 - 2024-02-161111Crunch-Senators-
193 - 2024-02-181121Rocket-Senators-
194 - 2024-02-191134Senators-Rocket-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
36 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 250,500$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 195 6,413$ 1,250,535$




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
Regular Season
1282343904302220229-941161902202100101-141182002100120128-88122037459427081726321230691610803203657297916445169618.60%4086185.05%21318243554.13%1151239748.02%567116448.71%205014721937569953481
1282343904302220229-941161902202100101-141182002100120128-88122037459427081726321230691610803203657297916445169618.60%4086185.05%21318243554.13%1151239748.02%567116448.71%205014721937569953481
1376481602136239133106382110001151137142382760202112662641132394206592130966474196906486166911546466114017144087618.63%4745189.24%51218226453.80%1119212152.76%585105155.66%212315251571520914491
1376481602136239133106382110001151137142382760202112662641132394206592130966474196906486166911546466114017144087618.63%4745189.24%51218226453.80%1119212152.76%585105155.66%212315251571520914491
1476411903328234165693820702225128794938211201103106862010323442565908085628222120726716742165245876113523757520.00%3095083.82%31384238957.93%1182209156.53%624109057.25%212415541591516906484
1476411903328234165693820702225128794938211201103106862010323442565908085628222120726716742165245876113523757520.00%3095083.82%31384238957.93%1182209156.53%624109057.25%212415541591516906484
158249250113322716067412711011101197445412214000231088622110227386613220082746721790806676684200361186314564388218.72%3565185.67%31125242646.37%983248139.62%520116744.56%211915491887559947487
158249250113322716067412711011101197445412214000231088622110227386613220082746721790806676684200361186314564388218.72%3565185.67%31125242646.37%983248139.62%520116744.56%211915491887559947487
168237350415023620135412016021201169620411719020301201051593236401637060866873214406847187292220651105615204067017.24%4236185.58%41162238648.70%1245265346.93%573109952.14%202814651997557924463
168237350415023620135412016021201169620411719020301201051593236401637060866873214406847187292220651105615204067017.24%4236185.58%41162238648.70%1245265346.93%573109952.14%202814651997557924463
177248140141425713612136227012131307060362670020112766611082574797361110107895921210688701715150643089613133867519.43%3414985.63%61424228162.43%1153193259.68%653104762.37%211315781407456829451
177248140141425713612136227012131307060362670020112766611082574797361110107895921210688701715150643089613133867519.43%3414985.63%61424228162.43%1153193259.68%653104762.37%211315781407456829451
Total Regular Season9405142960302628462826204877847025214001618143014129824304702621560148141614141066348121628264970779614130010748588362549608486807487282192663761139017998505894818.74%462264686.02%46152622836253.81%136662735049.97%70441323653.22%2512118294207876357109525718
Playoff
1117980000038362945000002019185300000181711838691070001912639701341231274231183213691101311.82%1431788.11%130153356.47%25555046.36%13824157.26%440306429130210105
1117980000038362945000002019185300000181711838691070001912639701341231274231183213691101311.82%1431788.11%130153356.47%25555046.36%13824157.26%440306429130210105
131916300000523220108200000291712981000002315832528713904011211742701221381334591273403791392115.11%1481291.89%229261047.87%31667746.68%11925546.67%485326496156243122
131916300000523220108200000291712981000002315832528713904011211742701221381334591273403791392115.11%1481291.89%229261047.87%31667746.68%11925546.67%485326496156243122
146240000089-1312000006603120000023-1481624010142129031534416140731252428.33%29293.10%09619250.00%9218749.20%397850.00%13894149447638
146240000089-1312000006603120000023-1481624010142129031534416140731252428.33%29293.10%09619250.00%9218749.20%397850.00%13894149447638
1573400000161603120000056-1422000001110161629450007541510446242190536512338615.79%28389.29%15520327.09%6122227.48%348938.20%153104196548139
1573400000161603120000056-1422000001110161629450007541510446242190536512338615.79%28389.29%15520327.09%6122227.48%348938.20%153104196548139
Total Playoff98603800000228186425028220000012096244832160000010890181202284026300100768458220806627526922466676159819926228413.50%6966890.23%81488307648.37%1448327244.25%660132649.77%2436166425427701225613