Please rotate your device to landscape mode for a better experience.
Login

Senators
GP: 17 | W: 7 | L: 9 | OTL: 1 | P: 15
GF: 38 | GA: 46 | PP%: 11.90% | PK%: 73.81%
GM : Chris Paquet | Morale : 75 | Team Overall : 61
Next Games #236 vs Canucks

Game Center
Senators
7-9-1, 15pts
0
FINAL
3 Checkers
10-6-0, 20pts
Team Stats
L2StreakW3
3-4-1Home Record5-3-0
4-5-0Home Record5-3-0
5-5-0Last 10 Games5-5-0
2.24Goals Per Game3.81
2.71Goals Against Per Game2.50
11.90%Power Play Percentage16.36%
73.81%Penalty Kill Percentage89.47%
Wranglers
12-4-1, 25pts
4
FINAL
3 Senators
7-9-1, 15pts
Team Stats
W1StreakL2
6-2-0Home Record3-4-1
6-2-1Home Record4-5-0
6-3-1Last 10 Games5-5-0
3.18Goals Per Game2.24
2.24Goals Against Per Game2.71
25.00%Power Play Percentage11.90%
72.92%Penalty Kill Percentage73.81%
Senators
7-9-1, 15pts
2026-10-29
Canucks
4-10-3, 11pts
Team Stats
L2StreakOTL1
3-4-1Home Record2-5-1
4-5-0Away Record2-5-2
5-5-0Last 10 Games1-7-2
2.24Goals Per Game2.24
2.71Goals Against Per Game2.24
11.90%Power Play Percentage10.00%
73.81%Penalty Kill Percentage83.67%
Checkers
10-6-0, 20pts
2026-10-31
Senators
7-9-1, 15pts
Team Stats
W3StreakL2
5-3-0Home Record3-4-1
5-3-0Away Record4-5-0
5-5-0Last 10 Games5-5-0
3.81Goals Per Game2.24
2.50Goals Against Per Game2.24
16.36%Power Play Percentage11.90%
89.47%Penalty Kill Percentage73.81%
Senators
7-9-1, 15pts
2026-11-02
Wranglers
12-4-1, 25pts
Team Stats
L2StreakW1
3-4-1Home Record6-2-0
4-5-0Away Record6-2-1
5-5-0Last 10 Games6-3-1
2.24Goals Per Game3.18
2.71Goals Against Per Game3.18
11.90%Power Play Percentage25.00%
73.81%Penalty Kill Percentage72.92%
Team Leaders
Goals
Easton Cowan
6
Assists
Axel Sandin-Pellikka
13
Points
Axel Sandin-Pellikka
15
Plus/Minus
Easton Cowan
6
Hunter ShepardWins
Hunter Shepard
7
Hunter ShepardSave Percentage
Hunter Shepard
0.894

Team Stats
Goals For
38
2.24 GFG
Shots For
445
26.18 Avg
Power Play Percentage
11.9%
5 GF
Offensive Zone Start
41.6%
Goals Against
46
2.71 GAA
Shots Against
431
25.35 Avg
Penalty Kill Percentage
73.8%%
11 GA
Defensive Zone Start
39.7%
Team Info

General ManagerChris Paquet
CoachRyan Huska
DivisionAtlantic Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance1,592
Season Tickets0


Roster Info

Pro Team29
Farm Team19
Contract Limit48 / 70
Prospects27


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 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
1Bo GroulxX100.00753980658187826461636774626668075660263850,000$
2Chris WagnerX100.00634173647387866268606665617577075640352800,000$
3Easton Cowan (R)X100.00653879687284866658676362656163075640213873,500$
4Adam SykoraXX100.00683791627182875961586563596264075630222806,666$
5Felix Unger SorumX100.00623693647283856367655759626163075620213831,667$
6Owen SillingerX100.00643780636782816265615964586971075620292800,000$
7Wyatt BongiovanniX100.00643884607388825861576359626769075620272800,000$
8Philippe DaoustX100.00563790626573815867645756596667075610252800,000$
9Viktor NeuchevXX100.00643794617384795962605758566365075610221870,000$
10Hayden HodgsonX100.00776552588670795655545557537072075600302800,000$
11Jake LeschyshynXX100.0063388757727485566055585456676907560N0273775,000$
12Axel Sandin-Pellikka (R)X100.00613892697486886730686364526162075650213918,333$
13Drew HellesonX100.007543806485838462306757725065660756402521,100,000$
14Oliver Bonk (R)X100.00693885677683776630646162486165075640213886,666$
15Dennis GilbertX100.00777369648474716330695065517072075630292800,000$
16Cameron CrottyX100.00734177608679825830635262466769075620272800,000$
17Tobias BjornfotX100.00673890637480825830605963496567075620252775,000$
18Ville OttavainenX100.00824372629182836130605359466466075620241867,500$
Scratches
1Justin ErtelX100.00703981557965725358565457526365075580232800,000$
2Keean WashkurakX100.00584268576769855563545653576567075580252800,000$
3David GoyetteX100.00564073586570795755565452596264075570222891,666$
4Fabian WagnerX100.00553693566471745451535552566264075570222800,000$
5Ivan Ryabkin (R)X100.00604556586973715761595253545961075570193952,222$
6Tyson HindsX100.00733986568482865430555363456365075600231829,444$
7Scott HarringtonX100.00723987548163825230555356467375075590332800,000$
8Michael BuchingerX100.00593881566866805530535452466264075570222838,333$
TEAM AVERAGE100.0066418161757881594960576054656707561
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 SPAgeContractSalary
1Hunter Shepard100.0075827877747375747375747185075650302800,000$
2Kevin Mandolese100.007475718273727473727473667507564N02631,999,999$
Scratches
1Isaiah Saville100.007273687671707271707271667507563N02631,999,999$
TEAM AVERAGE100.007477727873727473727473687807564
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ryan Huska82857978767174CAN511850,000$


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
1Axel Sandin-PellikkaSenators (OTT)D172131566024222614167.69%2641624.530221137011035100%000000.7200000112
2Easton CowanSenators (OTT)RW176915610026286410389.38%637422.0010110360110130151.52%3300000.8001000220
3Oliver BonkSenators (OTT)D17391256046202061715.00%1841524.44022537101136100%000100.5800000112
4Owen SillingerSenators (OTT)C174610480184039131810.26%533319.6300000000000051.64%39700000.6000000110
5Chris WagnerSenators (OTT)C17549-310021564582711.11%133619.771123350000430150.63%39500000.5401000012
6Bo GroulxSenators (OTT)C17257-411555356013463.33%238522.690007360001360042.78%35300000.3601010200
7Cole KoepkeSenatorsLW952766031223661813.89%521123.500117180001134047.37%1900000.6601000121
8Dennis GilbertSenators (OTT)D17145-31202828951011.11%2334220.15101334000030000%000000.2900000000
9Felix Unger SorumSenators (OTT)RW17325-5208192952610.34%331318.42011338000000043.75%1600000.3200000001
10Viktor NeuchevSenators (OTT)LW/RW17325-24011153410208.82%225815.1900000000011153.85%1300000.3900000100
11Cameron CrottySenators (OTT)D17134-380221495411.11%1534520.31011135000031000%000000.2300000000
12Adam SykoraSenators (OTT)C/LW17213-48016162811277.14%133719.852025380000250042.86%4200000.1801000000
13Drew HellesonSenators (OTT)D17033-595251916470%1526815.7700024000010000%000000.2200100000
14Philippe DaoustSenators (OTT)C17112-1003560716.67%21539.0400014000000060.00%1500000.2600000000
15Tobias BjornfotSenators (OTT)D17022-55518116250%1125715.140000200002000%000000.1600010000
16Wyatt BongiovanniSenators (OTT)C17011-460199171190%128016.48011318000000037.04%2700000.0700000000
17Hayden HodgsonSenators (OTT)RW8000000000000%010.170000000000000%00000000000000
18Jake LeschyshynSenators (OTT)C/LW17000000001000%0150.880000000011000100.00%10000000000000
19Ville OttavainenSenators (OTT)D8000000000000%020.340000000000000%00000000000000
Team Total or Average2973867105-12111153713594451133058.54%136504817.0059146138112342907348.36%131100100.4205120988
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
1Hunter ShepardSenators (OTT)177910.8942.7099900454260000.8005170000
2Kevin MandoleseSenators (OTT)10001.000029000500000017000
Team Total or Average187910.8962.631028004543100051717000


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 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 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Adam SykoraSenators (OTT)C/LW222004-09-07SVKNo193 Lbs5 ft11NoNoFantasy DraftNoNo22025-07-04FalseFalsePro & Farm806,666$0$0$No806,666$--------806,666$--------No--------Link / NHL Link
Axel Sandin-PellikkaSenators (OTT)D212005-03-11SWEYes186 Lbs6 ft0NoNoDraftNoNo32026-05-26FalseFalsePro & Farm918,333$0$0$No918,333$918,333$-------918,333$918,333$-------NoNo-------Link
Bo GroulxSenators (OTT)C262000-02-06CANNo202 Lbs6 ft2NoNoTrade2026-06-21NoNo32026-06-19FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Link / NHL Link
Cameron CrottySenators (OTT)D271999-05-05CANNo213 Lbs6 ft3NoNoAssign ManuallyNoNo22026-01-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link / NHL Link
Chris WagnerSenators (OTT)C351991-05-27USANo192 Lbs6 ft0NoNoAssign ManuallyNoNo22026-01-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link / NHL Link
David GoyetteSenators (OTT)C222004-03-27CANNo172 Lbs5 ft10NoNoFantasy DraftNoNo22025-07-06FalseFalsePro & Farm891,666$0$0$No891,666$--------891,666$--------No--------Link / NHL Link
Dennis GilbertSenators (OTT)D291996-10-30USANo216 Lbs6 ft2NoNoAssign ManuallyNoNo22026-01-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link / NHL Link
Drew HellesonSenators (OTT)D252001-03-26USANo208 Lbs6 ft3NoNoFantasy DraftNoNo22026-06-26FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Link / NHL Link
Easton CowanSenators (OTT)RW212005-05-20CANYes190 Lbs6 ft0NoNoDraftNoNo32026-05-26FalseFalsePro & Farm873,500$0$0$No873,500$873,500$-------873,500$873,500$-------NoNo-------Link
Fabian WagnerSenators (OTT)LW222004-05-07SWENo170 Lbs5 ft10NoNoAssign ManuallyNoNo22026-01-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link / NHL Link
Felix Unger SorumSenators (OTT)RW212005-09-14SWENo190 Lbs6 ft0NoNoFantasy DraftNoNo32025-07-06FalseFalsePro & Farm831,667$0$0$No831,667$831,667$-------831,667$831,667$-------NoNo-------Link / NHL Link
Hayden HodgsonSenators (OTT)RW301996-03-02CANNo226 Lbs6 ft2NoNoAssign ManuallyNoNo22026-01-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link / NHL Link
Hunter ShepardSenators (OTT)G301995-11-07USANo225 Lbs5 ft11NoNoAssign ManuallyNoNo22026-01-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link / NHL Link
Isaiah SavilleSenators (OTT)G262000-09-21USANo193 Lbs6 ft1YesNoAssign ManuallyNoNo32026-06-19FalseFalsePro & Farm1,999,999$0$0$No1,999,999$1,999,999$-------1,999,999$1,999,999$-------NoNo-------Link
Ivan RyabkinSenators (OTT)C192007-04-25RUSYes185 Lbs5 ft11NoNoDraftNoNo32026-05-26FalseFalsePro & Farm952,222$0$0$No952,222$952,222$-------952,222$952,222$-------NoNo-------Link
Jake LeschyshynSenators (OTT)C/LW271999-03-10CANNo198 Lbs5 ft11YesNoFantasy DraftNoNo32026-06-26FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Link / NHL Link
Justin ErtelSenators (OTT)LW232003-05-27CANNo192 Lbs6 ft2NoNoAssign ManuallyNoNo22026-01-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link / NHL Link
Keean WashkurakSenators (OTT)C252001-08-16CANNo184 Lbs5 ft10NoNoAssign ManuallyNoNo22026-01-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link / NHL Link
Kevin MandoleseSenators (OTT)G262000-08-22CANNo180 Lbs6 ft4YesNoAssign ManuallyNoNo32026-06-19FalseFalsePro & Farm1,999,999$0$0$No1,999,999$1,999,999$-------1,999,999$1,999,999$-------NoNo-------Link / NHL Link
Michael BuchingerSenators (OTT)D222004-04-25CANNo178 Lbs5 ft11NoNoFantasy DraftNoNo22025-07-08FalseFalsePro & Farm838,333$0$0$No838,333$--------838,333$--------No--------Link / NHL Link
Oliver BonkSenators (OTT)D212005-01-09CANYes180 Lbs6 ft2NoNoDraftNoNo32026-05-26FalseFalsePro & Farm886,666$0$0$No886,666$886,666$-------886,666$886,666$-------NoNo-------Link
Owen SillingerSenators (OTT)C291997-09-23CANNo182 Lbs5 ft10NoNoAssign ManuallyNoNo22026-01-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link / NHL Link
Philippe DaoustSenators (OTT)C252001-05-11CANNo151 Lbs6 ft0NoNoAssign ManuallyNoNo22026-01-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link / NHL Link
Scott HarringtonSenators (OTT)D331993-03-10CANNo204 Lbs6 ft2NoNoAssign ManuallyNoNo22026-01-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link / NHL Link
Tobias BjornfotSenators (OTT)D252001-04-06SWENo200 Lbs6 ft0NoNoFantasy DraftNoNo22026-06-26FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Link / NHL Link
Tyson HindsSenators (OTT)D232003-03-12CANNo201 Lbs6 ft3NoNoFantasy DraftNoNo12025-07-08FalseFalsePro & Farm829,444$0$0$No---------------------------Link / NHL Link
Viktor NeuchevSenators (OTT)LW/RW222003-10-25RUSNo165 Lbs6 ft2NoNoFantasy DraftNoNo12025-07-04FalseFalsePro & Farm870,000$0$0$No---------------------------Link / NHL Link
Ville OttavainenSenators (OTT)D242002-08-12FINNo210 Lbs6 ft5NoNoFantasy DraftNoNo12025-07-04FalseFalsePro & Farm867,500$0$0$No---------------------------Link / NHL Link
Wyatt BongiovanniSenators (OTT)C271999-07-24USANo194 Lbs6 ft0NoNoAssign ManuallyNoNo22026-01-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2925.10192 Lbs6 ft12.21919,517$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Philippe DaoustOwen SillingerEaston Cowan40122
2Adam SykoraBo GroulxFelix Unger Sorum30122
3Viktor NeuchevChris WagnerWyatt Bongiovanni20122
4Easton CowanOwen SillingerBo Groulx10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Axel Sandin-PellikkaOliver Bonk40122
2Dennis GilbertCameron Crotty30122
3Tobias BjornfotDrew Helleson20122
4Axel Sandin-PellikkaOliver Bonk10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Wyatt BongiovanniChris WagnerEaston Cowan60122
2Adam SykoraBo GroulxFelix Unger Sorum40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Axel Sandin-PellikkaOliver Bonk60122
2Dennis GilbertCameron Crotty40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Chris WagnerBo Groulx60122
2Adam SykoraEaston Cowan40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Axel Sandin-PellikkaOliver Bonk60122
2Dennis GilbertCameron Crotty40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Chris Wagner60122Axel Sandin-PellikkaOliver Bonk60122
2Bo Groulx40122Dennis GilbertCameron Crotty40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Chris WagnerBo Groulx60122
2Philippe DaoustEaston Cowan40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Axel Sandin-PellikkaOliver Bonk60122
2Dennis GilbertCameron Crotty40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Chris WagnerBo GroulxEaston CowanAxel Sandin-PellikkaOliver Bonk
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Chris WagnerBo GroulxEaston CowanAxel Sandin-PellikkaOliver Bonk
Extra Forwards
Normal PowerPlayPenalty Kill
Wyatt Bongiovanni, Philippe Daoust, Chris WagnerWyatt Bongiovanni, Philippe DaoustChris Wagner
Extra Defensemen
Normal PowerPlayPenalty Kill
Oliver Bonk, Axel Sandin-Pellikka, Dennis GilbertAxel Sandin-PellikkaOliver Bonk, Dennis Gilbert
Penalty Shots
Adam Sykora, Bo Groulx, Felix Unger Sorum, Easton Cowan, Chris Wagner
Goalie
#1 : Hunter Shepard, #2 : Kevin Mandolese
Custom OT Lines Forwards
Viktor Neuchev, Bo Groulx, Hayden Hodgson, Easton Cowan, Chris Wagner, Adam Sykora, Owen Sillinger, Felix Unger Sorum, Wyatt Bongiovanni, Philippe Daoust
Custom OT Lines Defensemen
Axel Sandin-Pellikka, Oliver Bonk, Dennis Gilbert, Cameron Crotty, Drew Helleson


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
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
1Admirals20101000440000000000002010100044020.5004610001112123471681511171441211245500.00%6433.33%024453945.27%26051550.49%13024253.72%401272403125226111
2Barracuda10001000321100010003210000000000021.0003690011121233116815111714168218500.00%10100.00%024453945.27%26051550.49%13024253.72%401272403125226111
3Bears1010000015-41010000015-40000000000000.0001230011121232216815111714341481911100.00%4175.00%024453945.27%26051550.49%13024253.72%401272403125226111
4Bruins10001000321100010003210000000000021.0003470011121232716815111714289827200.00%4175.00%024453945.27%26051550.49%13024253.72%401272403125226111
5Checkers2110000034-1110000003121010000003-320.500369001112123401681511171446113143100.00%40100.00%024453945.27%26051550.49%13024253.72%401272403125226111
6Condors2020000035-2000000000002020000035-200.000358001112123471681511171448131244200.00%6183.33%024453945.27%26051550.49%13024253.72%401272403125226111
7Crunch32100000981000000000003210000098140.667917260011121239116815111714863214729111.11%6183.33%124453945.27%26051550.49%13024253.72%401272403125226111
8Marlies1000000134-11000000134-10000000000010.5003470011121233816815111714285223300.00%000%024453945.27%26051550.49%13024253.72%401272403125226111
9Rocket1010000023-11010000023-10000000000000.00024600111212320168151117142634225120.00%20100.00%024453945.27%26051550.49%13024253.72%401272403125226111
10Wranglers3120000079-22020000058-31100000021120.333713200011121238216815111714782018589222.22%9366.67%024453945.27%26051550.49%13024253.72%401272403125226111
Total1749030013846-8814020012025-5935010001821-3150.44138671050011121234451681511171443113611137142511.90%421173.81%124453945.27%26051550.49%13024253.72%401272403125226111
_Since Last GM Reset1749030013846-8814020012025-5935010001821-3150.44138671050011121234451681511171443113611137142511.90%421173.81%124453945.27%26051550.49%13024253.72%401272403125226111
_Vs Conference934010012126-5512010011215-342200000911-290.50021375800111212323816815111714248746720621314.29%20385.00%124453945.27%26051550.49%13024253.72%401272403125226111
_Vs Division833010012021-1411010011110142200000911-290.56320355500111212321616815111714214605918720210.00%16287.50%124453945.27%26051550.49%13024253.72%401272403125226111

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1715L2386710544543113611137100
All Games
GPWLOTWOTL SOWSOLGFGA
174930013846
Home Games
GPWLOTWOTL SOWSOLGFGA
81420012025
Visitor Games
GPWLOTWOTL SOWSOLGFGA
93510001821
Last 10 Games
WLOTWOTL SOWSOL
550000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
42511.90%421173.81%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
168151117141112123
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
24453945.27%26051550.49%13024253.72%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
401272403125226111


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
1 - 2026-09-299Senators1Crunch3LBoxScore
2 - 2026-09-3017Senators1Condors2LBoxScore
4 - 2026-10-0232Wranglers4Senators2LBoxScore
7 - 2026-10-0544Bears5Senators1LBoxScore
9 - 2026-10-0763Senators3Crunch2WBoxScore
11 - 2026-10-0979Marlies4Senators3LXXBoxScore
13 - 2026-10-1190Bruins2Senators3WXBoxScore
14 - 2026-10-12103Senators2Admirals1WXBoxScore
16 - 2026-10-14117Checkers1Senators3WBoxScore
17 - 2026-10-15129Senators2Wranglers1WBoxScore
19 - 2026-10-17145Senators2Condors3LBoxScore
20 - 2026-10-18153Senators5Crunch3WBoxScore
22 - 2026-10-20168Rocket3Senators2LBoxScore
23 - 2026-10-21179Senators2Admirals3LBoxScore
25 - 2026-10-23191Barracuda2Senators3WXBoxScore
27 - 2026-10-25206Senators0Checkers3LBoxScore
29 - 2026-10-27224Wranglers4Senators3LBoxScore
31 - 2026-10-29236Senators-Canucks-
33 - 2026-10-31248Checkers-Senators-
35 - 2026-11-02263Senators-Wranglers-
37 - 2026-11-04274Bruins-Senators-
39 - 2026-11-06289Condors-Senators-
41 - 2026-11-08306Senators-Crunch-
43 - 2026-11-10319Monsters-Senators-
45 - 2026-11-12333Senators-Bears-
47 - 2026-11-14350IceHogs-Senators-
49 - 2026-11-16362Senators-IceHogs-
51 - 2026-11-18369Admirals-Senators-
63 - 2026-11-30392Senators-Admirals-
65 - 2026-12-02410Wolf Pack-Senators-
67 - 2026-12-04427Senators-Islanders-
68 - 2026-12-05431Bears-Senators-
70 - 2026-12-07448Senators-Bruins-
71 - 2026-12-08460Senators-Comets-
73 - 2026-12-10474Comets-Senators-
76 - 2026-12-13498Phantoms-Senators-
77 - 2026-12-14500Barracuda-Senators-
79 - 2026-12-16522Senators-Monsters-
81 - 2026-12-18538Marlies-Senators-
83 - 2026-12-20556Senators-Wolf Pack-
94 - 2026-12-31562Senators-Penguins-
96 - 2027-01-02573Eagles-Senators-
98 - 2027-01-04591Senators-Wild-
100 - 2027-01-06604Senators-Eagles-
101 - 2027-01-07614Senators-Gulls-
103 - 2027-01-09628Penguins-Senators-
104 - 2027-01-10640Thunderbirds-Senators-
106 - 2027-01-12655Senators-Bruins-
108 - 2027-01-14674Wranglers-Senators-
109 - 2027-01-15683Senators-Reign-
111 - 2027-01-17694Silver Knights-Senators-
114 - 2027-01-20712Griffins-Senators-
117 - 2027-01-23732Rocket-Senators-
118 - 2027-01-24740Senators-Barracuda-
121 - 2027-01-27764Senators-Checkers-
123 - 2027-01-29775Condors-Senators-
125 - 2027-01-31793Rocket-Senators-
126 - 2027-02-01803Senators-Griffins-
128 - 2027-02-03817Senators-Phantoms-
130 - 2027-02-05831Gulls-Senators-
131 - 2027-02-06840Senators-Griffins-
133 - 2027-02-08855Gulls-Senators-
134 - 2027-02-09864Senators-Stars-
136 - 2027-02-11884Senators-Condors-
138 - 2027-02-13899Moose-Senators-
139 - 2027-02-14910Senators-Marlies-
141 - 2027-02-16916Moose-Senators-
142 - 2027-02-17930Senators-Thunderbirds-
145 - 2027-02-20949Griffins-Senators-
146 - 2027-02-21959Senators-Moose-
148 - 2027-02-23970Canucks-Senators-
149 - 2027-02-24986Senators-Silver Knights-
152 - 2027-02-271004Senators-Marlies-
153 - 2027-02-281015Reign-Senators-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2027-03-021029Senators-Rocket-
156 - 2027-03-031030Crunch-Senators-
158 - 2027-03-051053Senators-Rocket-
159 - 2027-03-061058Islanders-Senators-
163 - 2027-03-101086Senators-Phantoms-
164 - 2027-03-111093Wild-Senators-
167 - 2027-03-141113Stars-Senators-
171 - 2027-03-181134Crunch-Senators-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price5030
Attendance9,2723,465
Attendance PCT57.95%43.31%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
33 1592 - 53.07% 67,397$539,174$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
595,290$ 2,666,600$ 2,666,600$ 850,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 453,625$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,224,093$ 145 20,210$ 2,930,450$




Senators Players Stat Leaders (Regular Season)

# 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

Senators Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Senators Career Team Stats

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

Senators Players Stat Leaders (Play-Off)

# 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

Senators Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA