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Senators
GP: 58 | W: 37 | L: 17 | OTL: 4 | P: 78
GF: 281 | GA: 232 | PP%: 26.69% | PK%: 76.21%
GM : Didier Theodore | Morale : 59 | Team Overall : 63
Next Games #763 vs Punishers

Game Center
Thunderbirds
29-25-4, 62pts
3
1 Senators
37-17-4, 78pts
Team Stats
L1StreakW1
15-12-2Home Record20-9-0
14-13-2Home Record17-8-4
3-5-2Last 10 Games5-4-1
4.16Goals Per Game4.84
4.07Goals Against Per Game4.00
24.32%Power Play Percentage26.69%
78.18%Penalty Kill Percentage76.21%
Senators
37-17-4, 78pts
11
5 Islander
29-29-1, 59pts
Team Stats
W1StreakL1
20-9-0Home Record14-15-0
17-8-4Home Record15-14-1
5-4-1Last 10 Games4-6-0
4.84Goals Per Game4.56
4.00Goals Against Per Game4.88
26.69%Power Play Percentage24.39%
76.21%Penalty Kill Percentage76.07%
Punishers
33-19-7, 73pts
Day 121
Senators
37-17-4, 78pts
Team Stats
W4StreakW1
15-11-3Home Record20-9-0
18-8-4Away Record17-8-4
7-1-2Last 10 Games5-4-1
4.80Goals Per Game4.84
4.19Goals Against Per Game4.84
18.48%Power Play Percentage26.69%
73.80%Penalty Kill Percentage76.21%
Senators
37-17-4, 78pts
Day 122
Icehogs
31-23-4, 66pts
Team Stats
W1StreakL2
20-9-0Home Record18-9-2
17-8-4Away Record13-14-2
5-4-1Last 10 Games2-8-0
4.84Goals Per Game4.14
4.00Goals Against Per Game4.14
26.69%Power Play Percentage26.80%
76.21%Penalty Kill Percentage72.97%
Bears
33-20-5, 71pts
Day 125
Senators
37-17-4, 78pts
Team Stats
W1StreakW1
17-8-4Home Record20-9-0
16-12-1Away Record17-8-4
6-3-1Last 10 Games5-4-1
4.14Goals Per Game4.84
3.59Goals Against Per Game4.84
18.72%Power Play Percentage26.69%
78.95%Penalty Kill Percentage76.21%
Team Leaders
Goals
Marc Michaelis
51
Assists
Antti Suomela
70
Points
Marc Michaelis
107
Plus/Minus
Jett Woo
33
Wins
Justus Annunen
23
Save Percentage
Justus Annunen
0.884

Team Stats
Goals For
281
4.84 GFG
Shots For
1977
34.09 Avg
Power Play Percentage
26.7%
67 GF
Offensive Zone Start
36.5%
Goals Against
232
4.00 GAA
Shots Against
1901
32.78 Avg
Penalty Kill Percentage
76.2%%
49 GA
Defensive Zone Start
36.4%
Team Info

General ManagerDidier Theodore
CoachMichel Therrien
DivisionFritz-Kraatz
ConferenceRobert-Lebel
CaptainAntti Suomela
Assistant #1Justin Bailey
Assistant #2Marc Michaelis


Arena Info

Capacity3,000
Attendance2,821
Season Tickets300


Roster Info

Pro Team34
Farm Team21
Contract Limit55 / 250
Prospects0


Filter Tips
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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
1Justin Bailey (A)X100.007734887083787575817284637371524064740251975,000$
2Antti Suomela (R) (C)X100.007939768085708170737677637664564163730262950,000$
3Marc Michaelis (R) (A)X100.007939787469796773717774726959544275720253750,000$
4Kiefer SherwoodX100.007243776883646874736789657256503573720251950,000$
5Carl Grundstrom (R)X100.007451877173787272707274687456515477710233750,000$
6Vitaly Abramov (R)X100.005935817974706875627179587249494974690223850,000$
7Jonah Gadjovich (R)X100.006941747482587877656476606447495025680222700,000$
8Arttu Ruotsalainen (R)X100.005637757365756868595785617049494162670234900,000$
9Joel Teasdale (R)X100.005533886764796359676562655944465426640212600,000$
10Bryce Kindopp (R)X100.006333696568606465656370646544455464630213500,000$
11Akil Thomas (R)X100.007546656369536862536564566143435277610204600,000$
12Tyler Angle (R)X100.005646606553696463645754486043445623570201500,000$
13Jonas Siegenthaler (R)X100.006626876971637665427459835755493974700232600,000$
14Mason GeertsenX100.007345796668617769546259726455543378680251750,000$
15Scott Perunovich (R)X100.006136787359627576447558765548475564670223900,000$
16Alec Regula (R)X100.006444665958636168485458694742425328610204700,000$
17Ian Moore (R)X100.004029757355525674246149644440406864580182500,000$
18Jett Woo (R)X100.005725656346536266346944594344424774570201500,000$
Scratches
1Chase De Leo (R)X79.207330837576787568768179616860524348720243750,000$
2Hugh McGing (R)X89.557646757183607570567668636146475260680224700,000$
3Adam Mascherin (R)X100.005642677459616072656468597647475420640221500,000$
4Cliff Pu (R)X100.005826755866675667626772456944453819620222600,000$
5Jonatan Berggren (R)X100.005930806560646669717260394842425320600204650,000$
6Jaromir Pytlik (R)X100.005840736557574949506156526241426827560194650,000$
7Ivan Morozov (R)X100.005539635862516060565761495042425220560204600,000$
8Noel Gunler (R)X100.004736736155525366474964336240407020540184500,000$
9Colby Ambrosio (R)X100.006137625161596055594962385840406720530182500,000$
10Ozzy Wiesblatt (R)X100.005030734371486352565270295540407637530182500,000$
11Jack Finley (R)X100.005922635355575854485755315240407520510184800,000$
12Lucas Ramberg (R)X100.005814654556574638246039674240407265540184500,000$
TEAM AVERAGE98.96633674666663656657656658614846534963
Filter Tips
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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 SPAgeContractSalary
1David Rittich100.007167876561848363558677635847817102812,500,000$
2Justus Annunen98.00816673768167647170558247436382690204700,000$
Scratches
1Olivier Rodrigue100.00447156575760606172615342425520590202500,000$
2Vsevolod Skotnikov (R)100.00554951485151564451574740405920510184500,000$
TEAM AVERAGE99.5063636762636666606265654846565163
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Michel Therrien81738176727457CAN5341,000,000$


Filter Tips
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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
1Marc MichaelisSenators (Ott)LW58515610716555110792628015819.47%29131622.691516313619801151548344.35%1244817051.63010011264
2Antti SuomelaSenators (Ott)C523370103233801031142236413414.80%35117222.551124352618100061382250.00%18183517131.7613000876
3Justin BaileySenators (Ott)RW513834721415565862076012118.36%30105720.74111324211531123747256.25%2082921011.3603001553
4Kiefer SherwoodSenators (Ott)RW58244872143407854147479416.33%24101117.436172321180000194140.96%833313001.4213000253
5Vitaly AbramovSenators (Ott)LW58313364824076641765210717.61%12101017.4251116101611013753442.00%504615001.2702000451
6Carl GrundstromSenators (Ott)RW5816233931558288135348711.85%1884814.643255860334621147.13%872017000.9201100232
7Scott PerunovichSenators (Ott)D5882735-4140517677273410.39%57113619.5933661470000111000%01937000.6200000101
8Jonas SiegenthalerSenators (Ott)D5862834-2160731338041307.50%91157627.1931215162130003180100%03545000.4300000012
9Arttu RuotsalainenSenators (Ott)C54171633-81406570106257316.04%1976914.250224660000404144.72%559187000.8600000123
10Chase De LeoSenators (Ott)C31121830680534881314514.81%1154717.663476951013531046.07%369157001.1000000212
11Mason GeertsenSenators (Ott)D5842024-11401066804924318.16%80137023.6333661750112146000%01748000.3500101002
12Hugh McGingSenators (Ott)LW47131023980413281284416.05%163717.8900001101220050.00%6204001.2400000201
13Bryce KindoppSenators (Ott)RW51712196180432962233011.29%94819.4400002000001153.85%131413000.7900000010
14Ian MooreSenators (Ott)D54414182312014473117912.90%3979114.67101148011168100%0426000.4500000010
15Jonah GadjovichSenators (Ott)LW299918260422388255710.23%635312.20000021121271045.45%11107001.0200000012
16Akil ThomasSenators (Ott)C584711-147583533592011.43%1258510.090001190001153040.36%28055000.3800100001
17Lucas RambergSenators (Ott)D510881540163215860%214498.800000500009000%0115000.3600000001
18Jett WooSenators (Ott)D5807733280272218980%275799.9900002000020000%0013000.2400000000
19Jaromir PytlikSenators (Ott)C27145540251593611.11%42157.99000010000140041.25%8011000.4600000000
20Tyler AngleSenators (Ott)C1213410010556320.00%21099.1200000000000050.00%6211000.7300000000
21Alec RegulaSenators (Ott)D310335160352216660%2841113.27000027000022000%0317000.1500000000
22Ozzy WiesblattSenators (Ott)RW320224609465120%02317.240000500000000%211000.1700000000
23Joel TeasdaleSenators (Ott)LW17112000511203135.00%11166.8400000000000050.00%252000.3400000000
24Adam MascherinSenators (Ott)LW3011100113340%1144.780000000000000%000001.4000000000
25Ivan MorozovSenators (Ott)C3000120100120%0144.7100000000000016.67%60000000000000
26Noel GunlerSenators (Ott)RW3000-100000000%000.320000000000000%00000000000000
27Cliff PuSenators (Ott)RW4000-100212010%1174.280000000000000%11100000000000
28Jonatan BerggrenSenators (Ott)RW3000000000000%031.210000000003000%00000000000000
Team Total or Average107728045473416142430117611891934631113514.48%5731656315.386410717115917775813351231371547.62%3761381350190.89213303393834
Filter Tips
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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 Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Justus AnnunenSenators (Ott)3423430.8843.831878201201034539300.692133127001
2David RittichSenators (Ott)30141310.8754.0116162010886538222002727020
Team Total or Average64371740.8803.92349440228189992152135854021


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 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 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 MascherinSenators (Ott)LW221998-01-01CANYes205 Lbs5 ft10NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Akil ThomasSenators (Ott)C202000-01-01CANYes195 Lbs6 ft0NoNoFree AgentNoNo42025-10-07FalseFalsePro & Farm600,000$177,515$0$0$No600,000$600,000$600,000$------600,000$600,000$600,000$------NoNoNo------Link
Alec RegulaSenators (Ott)D202000-01-01USAYes208 Lbs6 ft4NoNoFree AgentNoNo42025-10-07FalseFalsePro & Farm700,000$207,101$0$0$No700,000$700,000$700,000$------700,000$700,000$700,000$------NoNoNo------Link
Antti SuomelaSenators (Ott)C261994-01-01FINYes180 Lbs6 ft0NoNoFree Agent2024-11-07NoNo22025-10-23FalseFalsePro & Farm950,000$281,065$0$0$No1,250,000$--------1,250,000$--------No--------Link
Arttu RuotsalainenSenators (Ott)C231997-01-01FINYes181 Lbs5 ft8NoNoFree AgentNoNo42025-10-07FalseFalsePro & Farm900,000$266,272$0$0$No900,000$900,000$900,000$------900,000$900,000$900,000$------NoNoNo------Link
Bryce KindoppSenators (Ott)RW211999-01-01CANYes185 Lbs6 ft1NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm500,000$147,929$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link
Carl GrundstromSenators (Ott)RW231997-01-01SWEYes194 Lbs6 ft0NoNoFree AgentNoNo32025-10-07FalseFalsePro & Farm750,000$221,893$0$0$No950,000$1,250,000$-------950,000$1,250,000$-------NoNo-------Link
Chase De Leo (Out of Payroll)Senators (Ott)C241996-01-01USAYes179 Lbs5 ft9NoNoFree Agent2024-12-29NoNo32025-10-07FalseFalsePro & Farm750,000$221,893$0$0$Yes950,000$1,250,000$-------950,000$1,250,000$-------NoNo-------Link
Cliff PuSenators (Ott)RW221998-01-01CANYes185 Lbs6 ft2NoNoFree AgentNoNo22025-10-07FalseFalsePro & Farm600,000$177,515$0$0$No600,000$--------600,000$--------No--------Link
Colby AmbrosioSenators (Ott)C182002-01-01CANYes170 Lbs5 ft9NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
David RittichSenators (Ott)G281992-01-01CZENo206 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm2,500,000$739,645$0$0$No---------------------------Link
Hugh McGing (Out of Payroll)Senators (Ott)LW221998-01-01USAYes176 Lbs5 ft8NoNoFree Agent2025-09-02NoNo42025-10-07FalseFalsePro & Farm700,000$207,101$0$0$Yes800,000$900,000$1,500,000$------800,000$900,000$1,500,000$------NoNoNo------Link
Ian MooreSenators (Ott)D182002-01-01USAYes171 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Ivan MorozovSenators (Ott)C202000-01-01RUSYes178 Lbs6 ft1NoNoFree AgentNoNo42025-10-07FalseFalsePro & Farm600,000$177,515$0$0$No600,000$600,000$600,000$------600,000$600,000$600,000$------NoNoNo------Link
Jack FinleySenators (Ott)C182002-01-01CANYes207 Lbs6 ft5NoNoFree AgentNoNo42025-10-23FalseFalsePro & Farm800,000$236,686$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------
Jaromir PytlikSenators (Ott)C192001-01-01CZEYes196 Lbs6 ft2NoNoFree AgentNoNo42025-10-23FalseFalsePro & Farm650,000$192,308$0$0$No750,000$750,000$850,000$------750,000$750,000$850,000$------NoNoNo------
Jett WooSenators (Ott)D202000-01-01CANYes190 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Joel TeasdaleSenators (Ott)LW211999-01-01CANYes212 Lbs6 ft0NoNoTrade2025-09-06NoNo22025-08-30FalseFalsePro & Farm600,000$177,515$0$0$No600,000$--------600,000$--------No--------Link
Jonah GadjovichSenators (Ott)LW221998-01-01CANYes209 Lbs6 ft2NoNoTrade2025-12-29NoNo22024-09-24FalseFalsePro & Farm700,000$207,101$0$0$No700,000$--------700,000$--------No--------Link
Jonas SiegenthalerSenators (Ott)D231997-01-01CHEYes210 Lbs6 ft3NoNoFree AgentNoNo22024-08-21FalseFalsePro & Farm600,000$177,515$0$0$No600,000$--------600,000$--------No--------Link
Jonatan BerggrenSenators (Ott)RW202000-01-01SWEYes195 Lbs5 ft11NoNoFree AgentNoNo42025-10-23FalseFalsePro & Farm650,000$192,308$0$0$No750,000$850,000$950,000$------750,000$850,000$950,000$------NoNoNo------Link
Justin BaileySenators (Ott)RW251995-01-01USANo185 Lbs6 ft0NoNoTrade2025-12-29NoNo12025-08-28FalseFalsePro & Farm975,000$288,462$0$0$No---------------------------Link
Justus AnnunenSenators (Ott)G202000-01-01FINNo210 Lbs6 ft4NoNoFree Agent2024-12-28NoNo42025-10-07FalseFalsePro & Farm700,000$207,101$0$0$No800,000$900,000$1,500,000$------800,000$900,000$1,500,000$------NoNoNo------Link
Kiefer SherwoodSenators (Ott)RW251995-01-01USANo194 Lbs6 ft0NoNoFree Agent2024-09-07NoNo12025-10-07FalseFalsePro & Farm950,000$281,065$0$0$No---------------------------Link
Lucas RambergSenators (Ott)D182002-01-01SWEYes194 Lbs6 ft1NoNoFree AgentNoNo42025-10-26FalseFalsePro & Farm500,000$147,929$0$0$No500,000$600,000$600,000$------500,000$600,000$600,000$------NoNoNo------
Marc MichaelisSenators (Ott)LW251995-01-01DEUYes187 Lbs5 ft11NoNoFree AgentNoNo32025-10-07FalseFalsePro & Farm750,000$221,893$0$0$No950,000$1,500,000$-------950,000$1,500,000$-------NoNo-------Link
Mason GeertsenSenators (Ott)D251995-01-01CANNo185 Lbs6 ft4NoNoFree AgentNoNo12025-10-07FalseFalsePro & Farm750,000$221,893$0$0$No---------------------------Link
Noel GunlerSenators (Ott)RW182002-01-01SWEYes176 Lbs6 ft2NoNoFree AgentNoNo42025-10-26FalseFalsePro & Farm500,000$147,929$0$0$No500,000$600,000$600,000$------500,000$600,000$600,000$------NoNoNo------
Olivier RodrigueSenators (Ott)G202000-01-01CANNo158 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------Link
Ozzy WiesblattSenators (Ott)RW182002-01-01CANYes183 Lbs5 ft10NoNoTrade2025-09-06NoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Scott PerunovichSenators (Ott)D221998-01-01USAYes175 Lbs5 ft10NoNoFree Agent2025-04-14NoNo32025-10-07FalseFalsePro & Farm900,000$266,272$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Link
Tyler AngleSenators (Ott)C202000-01-01CANYes165 Lbs5 ft10NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Vitaly AbramovSenators (Ott)LW221998-01-01RUSYes181 Lbs5 ft10NoNoFree AgentNoNo32025-10-07FalseFalsePro & Farm850,000$251,479$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Link
Vsevolod SkotnikovSenators (Ott)G182002-01-01RUSYes182 Lbs6 ft0NoNoFree AgentNoNo42025-10-23FalseFalsePro & Farm500,000$147,929$0$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3421.35188 Lbs6 ft02.68718,382$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Marc MichaelisAntti SuomelaJustin Bailey40122
2Vitaly AbramovArttu RuotsalainenKiefer Sherwood30122
3Jonah GadjovichAkil ThomasCarl Grundstrom20122
4Joel TeasdaleTyler AngleBryce Kindopp10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jonas SiegenthalerMason Geertsen40122
2Scott PerunovichAlec Regula30122
3Ian MooreJett Woo20122
4Jonas SiegenthalerMason Geertsen10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Marc MichaelisAntti SuomelaJustin Bailey60122
2Vitaly AbramovArttu RuotsalainenKiefer Sherwood40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jonas SiegenthalerMason Geertsen60122
2Scott PerunovichAlec Regula40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Antti SuomelaMarc Michaelis60122
2Arttu RuotsalainenVitaly Abramov40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jonas SiegenthalerMason Geertsen60122
2Scott PerunovichAlec Regula40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Antti Suomela60122Jonas SiegenthalerMason Geertsen60122
2Arttu Ruotsalainen40122Scott PerunovichAlec Regula40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Antti SuomelaMarc Michaelis60122
2Arttu RuotsalainenVitaly Abramov40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jonas SiegenthalerMason Geertsen60122
2Scott PerunovichAlec Regula40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Marc MichaelisAntti SuomelaJustin BaileyJonas SiegenthalerMason Geertsen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Marc MichaelisAntti SuomelaJustin BaileyJonas SiegenthalerMason Geertsen
Extra Forwards
Normal PowerPlayPenalty Kill
Carl Grundstrom, Vitaly Abramov, Jonah GadjovichCarl Grundstrom, Vitaly AbramovCarl Grundstrom
Extra Defensemen
Normal PowerPlayPenalty Kill
Alec Regula, Ian Moore, Jett WooAlec RegulaAlec Regula, Ian Moore
Penalty Shots
Justin Bailey, Antti Suomela, Kiefer Sherwood, Marc Michaelis, Carl Grundstrom
Goalie
#1 : Justus Annunen, #2 : David Rittich
Custom OT Lines Forwards
Justin Bailey, Antti Suomela, Kiefer Sherwood, Marc Michaelis, Carl Grundstrom, Vitaly Abramov, Jonah Gadjovich, Arttu Ruotsalainen, Joel Teasdale, Bryce Kindopp
Custom OT Lines Defensemen
Jonas Siegenthaler, Mason Geertsen, Scott Perunovich, Alec Regula, Ian Moore


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
1Admirals311010001815311000000633201010001212040.667183048007210995789621711636229638244718633.33%12558.33%1629132147.62%627131847.57%45998346.69%123669312205371043524
2Americans6420000030264321000001817132100000129380.667305080007210995719362171163622200626011437718.92%24483.33%0629132147.62%627131847.57%45998346.69%123669312205371043524
3Barracuda21100000871110000006331010000024-220.5008142200721099577162171163622532684711218.18%4175.00%0629132147.62%627131847.57%45998346.69%123669312205371043524
4Bears1010000023-1000000000001010000023-100.0002350072109957346217116362240191227200.00%6266.67%0629132147.62%627131847.57%45998346.69%123669312205371043524
5Canucks21100000963211000009630000000000020.50091524007210995772621711636225717254310110.00%10280.00%1629132147.62%627131847.57%45998346.69%123669312205371043524
6Checkers1010000035-2000000000001010000035-200.00036900721099573562171163622191510205120.00%5340.00%0629132147.62%627131847.57%45998346.69%123669312205371043524
7Comets20100001811-31010000024-21000000167-110.2508152300721099577162171163622682514563266.67%70100.00%0629132147.62%627131847.57%45998346.69%123669312205371043524
8Condors201000107701010000034-11000001043120.5007101700721099577162171163622701610454125.00%5180.00%0629132147.62%627131847.57%45998346.69%123669312205371043524
9Eagles220000001394110000004311100000096341.00013213400721099576962171163622671521444250.00%8187.50%1629132147.62%627131847.57%45998346.69%123669312205371043524
10Firebirds21100000812-4110000005411010000038-520.5008111900721099576762171163622843420453133.33%10280.00%0629132147.62%627131847.57%45998346.69%123669312205371043524
11Griffins220000001046110000004221100000062441.000101626007210995761621711636225516104010220.00%50100.00%0629132147.62%627131847.57%45998346.69%123669312205371043524
12Gulls3110100015141211000009901000100065140.6671525400072109957114621711636221173116558225.00%8275.00%0629132147.62%627131847.57%45998346.69%123669312205371043524
13Icehogs4400000025131211000000624330000001911881.00025426700721099571366217116362213829458319842.11%15473.33%1629132147.62%627131847.57%45998346.69%123669312205371043524
14Islander5320000030228312000001415-122000000167960.600304777107210995717262171163622158513010624729.17%15380.00%0629132147.62%627131847.57%45998346.69%123669312205371043524
15Little Stars750010013724134300100025178320000011275130.92937641010072109957258621711636222175746154351028.57%231152.17%1629132147.62%627131847.57%45998346.69%123669312205371043524
16Marlies1010000025-31010000025-30000000000000.00024600721099573662171163622407813400.00%40100.00%0629132147.62%627131847.57%45998346.69%123669312205371043524
17Moose311001001293110000007252010010057-230.5001219310072109957114621711636221133325539222.22%10190.00%0629132147.62%627131847.57%45998346.69%123669312205371043524
18Punishers1010000007-7000000000001010000007-700.0000000072109957176217116362247151920200.00%7185.71%0629132147.62%627131847.57%45998346.69%123669312205371043524
19Roadrunners32001000191362200000013851000100065161.0001933520072109957109621711636229840227216637.50%11463.64%0629132147.62%627131847.57%45998346.69%123669312205371043524
20Rockets11000000532000000000001100000053221.000581300721099572362171163622286817500.00%40100.00%0629132147.62%627131847.57%45998346.69%123669312205371043524
21Thunderbirds21100000770211000007700000000000020.50071320107210995768621711636226116105411436.36%4175.00%0629132147.62%627131847.57%45998346.69%123669312205371043524
22Wolfpack21000100981110000006421000010034-130.7509142300721099576462171163622602514467342.86%7185.71%0629132147.62%627131847.57%45998346.69%123669312205371043524
23Wranglers11000000422000000000001100000042221.000481200721099573362171163622156431400.00%20100.00%0629132147.62%627131847.57%45998346.69%123669312205371043524
Total5832170421228123249291990100014611531291380321213511718780.6722814687492072109957197762171163622190159946112322516726.69%2064976.21%5629132147.62%627131847.57%45998346.69%123669312205371043524
_Since Last GM Reset5832170421228123249291990100014611531291380321213511718780.6722814687492072109957197762171163622190159946112322516726.69%2064976.21%5629132147.62%627131847.57%45998346.69%123669312205371043524
_Vs Conference392211031111961524420136010001088127199502111887117540.692196326522207210995713336217116362212953933288181875227.81%1423972.54%4629132147.62%627131847.57%45998346.69%123669312205371043524
_Vs Division18124010019772251063010005749886100001402317270.75097161258107210995762362171163622575170136374962425.00%621870.97%1629132147.62%627131847.57%45998346.69%123669312205371043524

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5878W128146874919771901599461123220
All Games
GPWLOTWOTL SOWSOLGFGA
5832174212281232
Home Games
GPWLOTWOTL SOWSOLGFGA
291991000146115
Visitor Games
GPWLOTWOTL SOWSOLGFGA
291383212135117
Last 10 Games
WLOTWOTL SOWSOL
441100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2516726.69%2064976.21%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
6217116362272109957
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
629132147.62%627131847.57%45998346.69%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
123669312205371043524


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
11Senators2Little Stars3LXXBox score
316Little Stars5Senators6WXBox score
535Americans6Senators9WR1Box score
638Senators9Icehogs5WBox score
748Senators5Islander2WBox score
962Senators6Americans2WR1Box score
1276Islander7Senators5LBox score
1490Little Stars5Senators7WBox score
17105Senators5Icehogs3WR1Box score
20125Thunderbirds4Senators6WBox score
22138Americans9Senators3LR1Box score
24151Senators2Americans4LBox score
26165Islander4Senators3LBox score
27170Senators6Admirals5WXR1Box score
31192Senators5Little Stars2WBox score
33199Little Stars3Senators5WBox score
35215Admirals3Senators6WR1Box score
37224Senators5Rockets3WBox score
39234Senators6Admirals7LR1Box score
41249Senators5Little Stars2WBox score
42256Firebirds4Senators5WBox score
45273Islander4Senators6WBox score
47288Senators6Griffins2WBox score
49296Senators3Wolfpack4LXBox score
50307Comets4Senators2LBox score
53325Senators4Americans3WR1Box score
55332Wolfpack4Senators6WBox score
57349Senators2Bears3LBox score
58357Condors4Senators3LBox score
61379Griffins2Senators4WBox score
63391Senators6Comets7LXXBox score
65402Senators4Wranglers2WBox score
66410Little Stars4Senators7WBox score
68427Senators4Condors3WXXBox score
70437Icehogs2Senators6WR1Box score
72453Senators3Checkers5LBox score
74464Gulls7Senators5LBox score
78485Gulls2Senators4WBox score
80499Senators5Icehogs3WR1Box score
81509Moose2Senators7WBox score
84528Roadrunners3Senators6WBox score
87545Senators2Barracuda4LBox score
88555Canucks3Senators2LBox score
91573Senators3Firebirds8LBox score
92582Americans2Senators6WR1Box score
94593Senators6Gulls5WXBox score
97606Senators9Eagles6WBox score
98615Barracuda3Senators6WBox score
100632Senators0Punishers7LBox score
102641Roadrunners5Senators7WBox score
104658Marlies5Senators2LBox score
106673Senators4Moose5LXBox score
108683Eagles3Senators4WBox score
111702Senators1Moose2LBox score
113712Canucks3Senators7WBox score
115721Senators6Roadrunners5WXBox score
117737Thunderbirds3Senators1LBox score
119750Senators11Islander5WBox score
121763Punishers-Senators-
122771Senators-Icehogs-
125790Bears-Senators-
127802Senators-Marlies-
130817Crunch-Senators-
131824Senators-Islander-
134841Penguins-Senators-
136852Senators-Penguins-
Trade Deadline --- Trades can’t be done after this day is simulated!
138869Crunch-Senators-
140882Senators-Little Stars-
141888Senators-Crunch-
143898Rockets-Senators-
146913Senators-Condors-
148926Wranglers-Senators-
150943Punishers-Senators-
151946Senators-Thunderbirds-
154966Senators-Crunch-
156978Senators-Canucks-
157983Rockets-Senators-
1611004Bears-Senators-
1641023Checkers-Senators-
1661033Senators-Canucks-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance54,69227,109
Attendance PCT94.30%93.48%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
11 2821 - 94.02% 177,877$5,158,441$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,375,693$ 2,367,500$ 2,367,500$ 1,000,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
13,595$ 1,667,430$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,956,650$ 50 19,926$ 996,300$




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