Senators

GP: 72 | W: 30 | L: 37 | OTL: 5 | P: 65
GF: 284 | GA: 286 | PP%: 19.47% | PK%: 75.07%
GM : Marc-André Bilodeau Lamontagne | Morale : 50 | Team Overall : 61

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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 #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
13Alexander True0X100.008141785991778657655855605666684250620
14Juraj Slafkovsky (R)0X100.006741746691806664566058596158599450620
15Mitchell Chaffee0X100.008140896178897159575564606365674250620
16Samuel Bolduc0X100.007840886390838460306263615363646950650
17Andreas Englund0X100.008053626081788259306158644967696450650
18Urho Vaakanainen0X100.006937886580867463306558645064668150650
19Vincent Iorio0X100.007239956286807263306858615061637150640
20Shakir Mukhamadullin0X100.007339896282656163306954644861638250630
21Xavier Ouellet0X100.006540766074797662306755584970725850630
Scratches
1Gabriel Fortier0X100.007236866268798861555859606263656850620
2Jasper Weatherby0X100.007741805691808759815758615665675950620
3Glenn Gawdin0X100.006640715976888357675859656066685750620
4Jean-Sebastien Dea0X100.006037816367808762686061596269713650620
5Cole Schwindt0X100.007038895977838758595657605762646550610
6Oskar Olausson0X100.006237856573817163555860626461638050610
7Xavier Simoneau0X100.006341666462677163706755656362675250610
8Cameron Morrison0X100.007639915885727457615859605765677250610
9Nate Schnarr0X100.007039835679788055615657585364666450600
10Jamieson Rees0X100.005841716167858359706358555662647450600
11Carsen Twarynski0X100.007141815680788755565458596066686150600
12Connor Bunnaman0X100.006940855779838456715258576065675850600
13Shane Gersich0X100.006138805870818356605857545867694850590
14Bryce Kindopp0X100.006337885874698556575153555464664350580
15Samuel Houde0X100.006038825569717554625556535463655750570
16Mitchell Hoelscher0X100.005537905664717054625556525563654950560
17Luke Henman0X100.005638805665728253615455525163656250560
18Luka Burzan0X100.006236955371676252585354515263654950550
19Maxence Guenette0X100.006437935974758260306258614962644950620
20Jonathan Aspirot0X100.006543665774697656305855594767693750600
21John Ludvig0X100.007142675580667054305652574663656650590
22Axel Andersson0X100.006138865570637252305453564563656950570
23Luka Profaca0X100.007042725279626851305352544561634550570
TEAM AVERAGE100.00684081617678796055605860576466615061
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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
1Dryden McKay100.00675556716665676665676668754250650
Scratches
TEAM AVERAGE100.0067555671666567666567666875425065
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
1Nikita AlexandrovSenators (Ott)C4840367618295761422766819514.49%34110823.1010142464180101132225361.15%140300041.3712010933
2Max McCormickSenators (Ott)LW7229336234371563801865112615.59%2175610.5021310230111292165.96%9400001.6400012342
3Sam PoulinSenators (Ott)RW64382159-47351311052246715016.96%24102316.0011122358190000004265.12%4300021.1500100445
4Benoit-Olivier GroulxSenators (Ott)C/LW382332551653572871725115213.37%2585722.56811194913501191783160.00%8500021.2812010643
5Samuel BolducSenators (Ott)D72743504940124577626619.21%78111315.463692668000072000.00%000000.9000000107
6Martin KautSenators (Ott)RW72202444331401752148367613.51%96529.0700000000002166.67%3300001.3500000061
7MacKenzie EntwistleSenators (Ott)C/RW5910263625515777011423678.77%115839.89011290000211065.26%66500001.2300001302
8Michael CarconeSenators (Ott)LW31122335113356951133361099.02%1657618.6051116421110002812063.41%4100011.2100001211
9Jake NeighboursSenators (Ott)LW72161127121001258105397915.24%154285.95000001016780061.11%9000001.2600000014
10Calle RosenOttawa SenatorsD155222718260281942173411.90%2338325.593582253000166200.00%000001.4100000320
11Andreas EnglundSenators (Ott)D4132326118915923628152310.71%2666316.190441252000062000.00%000000.7800111011
12A.J. GreerSenators (Ott)LW/RW728142293410703269286511.59%73284.5600000000001064.71%1700001.3400002112
13Andrew PoturalskiSenators (Ott)C12981715603143762824.32%118815.69224631000000174.63%20500011.8100000110
14Justin BaileySenators (Ott)RW1771017880311660194711.67%533919.9513412520001411067.50%4000001.0011000030
15Vincent IorioSenators (Ott)D441121386810311813497.69%294229.6000000000029000.00%000000.6200101001
16Jakub LaukoSenators (Ott)C203361209102741211.11%21075.3700000000001058.25%10300001.1200000001
17Urho VaakanainenSenators (Ott)D1011120102050.00%11616.980001200002000.00%000001.1800000000
Team Total or Average750231342573220629759068471712490123813.49%327955012.7345701153049122243388824963.39%2819000101.2035348333133
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
1Dryden McKaySenators (Ott)55000.9281.9930100101390000.000055000
Team Total or Average55000.9281.9930100101390000.000055000


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/RW271996-12-14No208 Lbs6 ft3NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Alexander TrueC261997-07-17No200 Lbs6 ft5NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Andreas EnglundD281996-01-21No189 Lbs6 ft3NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Andrew PoturalskiC301994-01-14No183 Lbs5 ft10NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Axel AnderssonD242000-02-10No178 Lbs6 ft0NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Benoit-Olivier GroulxC/LW242000-02-06No200 Lbs6 ft2NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Bryce KindoppRW241999-06-14No185 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Cameron MorrisonLW251998-08-27No210 Lbs6 ft3NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Carsen TwarynskiLW261997-11-24No198 Lbs6 ft2NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Cole SchwindtRW222001-04-25No182 Lbs6 ft2NoNoNo2ELCPro & Farm500,000$0$0$NoLink / NHL Link
Connor BunnamanC261998-04-16No207 Lbs6 ft1NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Dryden McKayG261997-11-25No183 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Gabriel FortierLW242000-02-06No177 Lbs5 ft10NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Glenn GawdinC271997-03-25No191 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jake NeighboursLW222002-03-29No201 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Jakub LaukoC242000-03-28No196 Lbs6 ft0NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jamieson ReesC232001-02-26No172 Lbs5 ft11NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jasper WeatherbyC261998-01-22No222 Lbs6 ft4NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jean-Sebastien DeaC301994-02-08No174 Lbs5 ft11NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
John LudvigD232000-08-02No213 Lbs6 ft1NoNoNo4RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jonathan AspirotD241999-05-16No200 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Juraj SlafkovskyLW202004-03-30Yes238 Lbs6 ft3NoNoNo4ELCPro & Farm900,000$0$0$NoNHL Link
Justin BaileyRW281995-07-01No214 Lbs6 ft4NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Luka BurzanC242000-01-07No184 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Luka ProfacaD222002-03-30No195 Lbs6 ft2NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Luke HenmanC232000-04-29No152 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
MacKenzie EntwistleC/RW241999-07-14No184 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Martin KautRW241999-10-02No190 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 / NHL Link
Michael CarconeLW271996-05-19No170 Lbs5 ft9NoNoNo1RFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Mitchell ChaffeeRW261998-01-26No201 Lbs6 ft1NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Mitchell HoelscherC242000-01-27No157 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Nate SchnarrC251999-02-25No180 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Nikita AlexandrovC232000-09-16No177 Lbs6 ft1NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Oskar OlaussonRW212002-11-10No180 Lbs6 ft1NoNoNo4ELCPro & Farm900,000$0$0$NoLink / NHL Link
Sam PoulinRW232001-02-25No208 Lbs6 ft1NoNoNo3RFAPro & Farm900,000$0$0$NoLink / NHL Link
Samuel BolducD232000-12-09No220 Lbs6 ft4NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Samuel HoudeC242000-03-08No175 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Shakir MukhamadullinD222002-01-10No178 Lbs6 ft4NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Shane GersichLW271996-07-10No180 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Urho VaakanainenD251999-01-01No200 Lbs6 ft2NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Vincent IorioD212002-11-14No200 Lbs6 ft4NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Xavier OuelletD301993-07-29No199 Lbs6 ft0NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Xavier SimoneauC222001-05-19No183 Lbs5 ft6NoNoNo4ELCPro & Farm300,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4524.71191 Lbs6 ft12.60431,111$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
3Max McCormickMartin Kaut20122
4Jake NeighboursA.J. Greer10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Samuel Bolduc30122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Samuel Bolduc40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Samuel Bolduc40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Samuel Bolduc40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Samuel Bolduc40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
Max McCormick, , Jake NeighboursMax McCormick, Jake Neighbours
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , , Max McCormick
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, , , , Max McCormick, , , , , Jake Neighbours,
Custom OT Lines Defensemen
, , , Samuel Bolduc,


Filter Tips
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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
7265L228447275623462231654901137712
All Games
GPWLOTWOTL SOWSOLGFGA
7227372411284286
Home Games
GPWLOTWOTL SOWSOLGFGA
3614171301152142
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3613201110132144
Last 10 Games
WLOTWOTL SOWSOL
370000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3396619.47%3699275.07%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7737687941612176845
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1091223748.77%901200344.98%583118249.32%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
176513011779479796384


Last Played Games
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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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
5 - 2023-08-1417Senators5Bears2WBoxScore
6 - 2023-08-1525Senators4Phantoms3WXXBoxScore
12 - 2023-08-2150Rocket3Senators2LXXBoxScore
16 - 2023-08-2567Admirals1Senators5WBoxScore
18 - 2023-08-2778Marlies2Senators9WBoxScore
19 - 2023-08-2891Marlies1Senators6WBoxScore
25 - 2023-09-03118Senators1Thunderbirds3LBoxScore
26 - 2023-09-04125Senators1Penguins4LBoxScore
30 - 2023-09-08146Crunch0Senators8WBoxScore
32 - 2023-09-10153Monsters2Senators9WBoxScore
34 - 2023-09-12173Monsters2Senators8WBoxScore
37 - 2023-09-15186Senators1Rocket5LBoxScore
39 - 2023-09-17194Moose3Senators4WXBoxScore
40 - 2023-09-18211Phantoms2Senators9WBoxScore
47 - 2023-09-25260Senators2Wolfpack5LBoxScore
48 - 2023-09-26263Senators6Islanders5WXBoxScore
51 - 2023-09-29270Senators3Comets4LXBoxScore
53 - 2023-10-01279Americans5Senators4LBoxScore
54 - 2023-10-02296Americans8Senators1LBoxScore
58 - 2023-10-06312Senators3Rocket4LBoxScore
60 - 2023-10-08317Griffins6Senators3LBoxScore
61 - 2023-10-09334Griffins5Senators2LBoxScore
66 - 2023-10-14357Senators6Monsters4WBoxScore
67 - 2023-10-15360Senators2Monsters4LBoxScore
73 - 2023-10-21400Penguins4Senators3LXBoxScore
74 - 2023-10-22405Marlies1Senators8WBoxScore
78 - 2023-10-26425Senators7Marlies2WBoxScore
80 - 2023-10-28436Rocket7Senators5LBoxScore
82 - 2023-10-30451Senators5Marlies2WBoxScore
89 - 2023-11-06487Senators6Moose4WBoxScore
90 - 2023-11-07505Senators8Moose5WBoxScore
93 - 2023-11-10512Moose5Senators4LXBoxScore
95 - 2023-11-12519Senators10Marlies3WBoxScore
97 - 2023-11-14545Marlies2Senators9WBoxScore
100 - 2023-11-17557Senators1Comets5LBoxScore
102 - 2023-11-19568Senators3Rocket6LBoxScore
103 - 2023-11-20580Rocket4Senators1LBoxScore
107 - 2023-11-24604Senators3Admirals6LBoxScore
109 - 2023-11-26610Senators2Griffins3LBoxScore
110 - 2023-11-27627Senators4Griffins3WBoxScore
116 - 2023-12-03656Senators4Crunch6LBoxScore
117 - 2023-12-04674Senators8Crunch3WBoxScore
123 - 2023-12-10687Comets4Senators3LBoxScore
124 - 2023-12-11701Comets4Senators1LBoxScore
128 - 2023-12-15720Crunch4Senators6WBoxScore
130 - 2023-12-17726Marlies3Senators7WBoxScore
131 - 2023-12-18738Senators3Comets6LBoxScore
133 - 2023-12-20756Bears2Senators7WBoxScore
135 - 2023-12-22765Senators1Americans4LBoxScore
137 - 2023-12-24775Senators0Americans7LBoxScore
138 - 2023-12-25788Senators5Crunch3WBoxScore
142 - 2023-12-29809Comets3Senators2LBoxScore
144 - 2023-12-31820Americans9Senators0LBoxScore
145 - 2024-01-01834Americans5Senators1LBoxScore
149 - 2024-01-05850Senators6Marlies3WBoxScore
152 - 2024-01-08875Senators0Comets3LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
156 - 2024-01-12898Comets5Senators1LBoxScore
158 - 2024-01-14905Senators6Crunch3WBoxScore
159 - 2024-01-15919Islanders6Senators4LBoxScore
165 - 2024-01-21953Rocket4Senators3LXBoxScore
166 - 2024-01-22965Rocket8Senators1LBoxScore
167 - 2024-01-23973Wolfpack6Senators3LBoxScore
172 - 2024-01-281000Senators1Rocket5LBoxScore
173 - 2024-01-291008Senators2Rocket4LBoxScore
179 - 2024-02-041037Thunderbirds7Senators0LBoxScore
180 - 2024-02-051050Crunch0Senators5WBoxScore
184 - 2024-02-091070Senators7Marlies3WBoxScore
186 - 2024-02-111082Senators1Americans3LBoxScore
187 - 2024-02-121090Senators2Americans5LBoxScore
191 - 2024-02-161111Crunch4Senators5WBoxScore
193 - 2024-02-181121Rocket5Senators3LBoxScore
194 - 2024-02-191134Senators3Rocket4LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance68,32434,396
Attendance PCT94.89%95.54%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2853 - 95.11% 71,067$2,558,404$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,210,003$ 194,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 209,844$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 6,123$ 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
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
1872273702411284286-2361417013011521421036132001110132144-12652844727561212176845234677376879416223165490113773396619.47%3699275.07%41091223748.77%901200344.98%583118249.32%176513011779479796384
Total Regular Season10125413330323029473110233477650626615701721143115641124440506275176015915161546121033612813110544285521513212111509428412784277392548868874424157703012291193755397101418.79%499173885.21%50163533059953.44%145672935349.63%76271441852.90%2688719595225666836117496103
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