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Senators
GP: 80 | W: 42 | L: 29 | OTL: 9 | P: 93
GF: 328 | GA: 324 | PP%: 25.50% | PK%: 78.70%
GM : Didier Theodore | Morale : 42 | Team Overall : 65

Game Center
Senators
42-29-9, 93pts
5
FINAL
4 Wranglers
42-33-5, 89pts
Team Stats
W4StreakW1
22-17-1Home Record21-17-2
20-12-8Home Record21-16-3
5-4-1Last 10 Games4-6-0
4.10Goals Per Game4.20
4.05Goals Against Per Game4.16
25.50%Power Play Percentage21.80%
78.70%Penalty Kill Percentage79.82%
Marlies
36-36-8, 80pts
2
FINAL
7 Senators
42-29-9, 93pts
Team Stats
L1StreakW4
21-13-6Home Record22-17-1
15-23-2Home Record20-12-8
5-4-1Last 10 Games5-4-1
3.81Goals Per Game4.10
4.10Goals Against Per Game4.05
19.94%Power Play Percentage25.50%
78.33%Penalty Kill Percentage78.70%
Team Leaders
Goals
Radek Faksa
56
Assists
Radek Faksa
74
Points
Radek Faksa
130
Plus/Minus
Radek Faksa
7
Wins
David Rittich
24
Save Percentage
David Rittich
0.878

Team Stats
Goals For
328
4.10 GFG
Shots For
2769
34.61 Avg
Power Play Percentage
25.5%
90 GF
Offensive Zone Start
38.5%
Goals Against
324
4.05 GAA
Shots Against
2550
31.88 Avg
Penalty Kill Percentage
78.7%%
46 GA
Defensive Zone Start
34.2%
Team Info

General ManagerDidier Theodore
CoachMario Lemieux
DivisionJohn-Ahearne
ConferenceRobert-Lebel
CaptainRadek Faksa
Assistant #1Carl Grundstrom
Assistant #2C.J Suess


Arena Info

Capacity3,000
Attendance2,817
Season Tickets300


Roster Info

Pro Team30
Farm Team20
Contract Limit50 / 250
Prospects0


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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.
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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 SPAgeContractSalary
1Radek Faksa (C)X100.007345838177737478797376657369573675740253950,000$
2Brendan Perlini (R)X100.007322828078767976687187627658494623730231850,000$
3C.J Suess (A)X100.007931787581716774657278676854544142710251850,000$
4Marc Michaelis (R)X100.007739767168776471687775726754514657710241750,000$
5Chase De Leo (R)X100.007130827474767368747977586652494749700231900,000$
6Kiefer SherwoodX100.007043756781646675746588617049473870700241900,000$
7Carl Grundstrom (R) (A)X100.007252877171767070696971667350495962690221900,000$
8Vitaly Abramov (R)X100.005635797672676573606877537146465462670211500,000$
9Arttu Ruotsalainen (R)X100.005237736962726768575984576847474539650221600,000$
10Cliff Pu (R)X100.005726725464655565586470406743434132590211500,000$
11Bryce Kindopp (R)X100.006133655966566160605766596143436058590204500,000$
12Akil Thomas (R)X100.007346595668496557466160485641415848560191500,000$
13Zac LeslieX100.007947737972767475526969827176533622740252800,000$
14Artem ZubX100.007055848077747980517262766472543864740242975,000$
15Corey ShuenemanX100.007647837264807071527660796159534640720242750,000$
16Jesse GrahamX100.005445758070656974527164725451493158670251800,000$
17Jonas Siegenthaler (R)X100.006326856668607361387054805248474368670223600,000$
18Mason GeertsenX100.007245786467597968546257706252513667660241500,000$
19Martin Fehervary (R)X100.006140727559556580438556624845456252650201500,000$
20Scott Perunovich (R)X100.005836767256597375407454735246456041650211500,000$
Scratches
1Anton Karlsson (R)X100.006526697865685876607065687347474123660232800,000$
2Adam Mascherin (R)X100.005441667354605871636267577546466112630212500,000$
3Tyler Angle (R)X100.005444586452676161595652455942436320550192500,000$
4Ivan Morozov (R)X100.005338615761505958545560474841415819540191500,000$
5Gustav Forsling (R)X100.007134766358706163446670605746464347630231500,000$
6Alec Regula (R)X100.006142635755616066465155674441416028590191500,000$
7Jett Woo (R)X100.005523636145526164336841574043415219550192500,000$
TEAM AVERAGE100.00653874696666677056676663625047484466
Filter Tips
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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.
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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 Rittich100.006865856362828459558474595652816902721,500,000$
2Justus Annunen100.00786271737863596867487942416969650191500,000$
Scratches
1Olivier Rodrigue100.00437054555457595970574741416220570193500,000$
TEAM AVERAGE100.0063667064656767626463674746615764
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mario Lemieux58697272515555CAN5511,000,000$


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.
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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
1Radek FaksaSenators (Ott)C7456741307261010715533410019516.77%41166722.531735526327600071687454.52%25316233231.56381019142
2Chase De LeoSenators (Ott)C81334477-62401181102136011915.49%27147018.15715222624003351392349.75%10014227011.0501000253
3C.J SuessSenators (Ott)LW64274976-2300129862577615210.51%29135221.141223354923800051215240.95%1055030001.1226000355
4Kiefer SherwoodSenators (Ott)RW803837753500115892135010317.84%30164320.55191534493020000293155.04%1293528020.9114000606
5Marc MichaelisSenators (Ott)LW77274471-4380139932245312812.05%50136817.7781018291940001933161.18%854428011.0404000334
6Artem ZubSenators (Ott)D79104757-1414010013318591635.41%127206226.1071320343270111191100%06265000.5500000111
7Carl GrundstromSenators (Ott)RW80263056-77510091140539118.57%18134916.8791019162330001224152.38%842913000.8302010024
8Vitaly AbramovSenators (Ott)LW80302656-48057582186212113.76%2198612.331454542025334238.71%313511111.1400000423
9Jesse GrahamSenators (Ott)D8033538-194404412511264432.68%81162420.30044132430114138200%04252000.4700000000
10Jonas SiegenthalerSenators (Ott)D8032831-3120631035529235.45%86146418.3124651810113113200%0347100.4200000110
11Christoph BertschySenateursC17101727780283277233512.99%532819.330334551013351249.57%347143011.6412000411
12Corey ShuenemanSenators (Ott)D6142125-1712084977238265.56%78144323.66358202060111151000%02633000.3500000011
13Arttu RuotsalainenSenators (Ott)C70131225-373555270114326211.40%2285212.182353400000120144.70%4811315000.5900000003
14Zac LeslieSenators (Ott)D3531821-824061586929294.35%6290425.85281017148000263000%01934000.4600000011
15Brendan PerliniSenators (Ott)LW1481119-320251264265212.50%1131122.2426817540001300060.71%28123001.2202000320
16Anton KarlssonSenators (Ott)LW498816-2460343211449597.02%2152010.620000120003370146.67%152211000.6100000001
17Martin FehervarySenators (Ott)D6741216-1014022394422169.09%3367510.0900005000021000%0918000.4700000011
18Bryce KindoppSenators (Ott)RW757916-5180523151163613.73%115707.6100002000001223.08%13710000.5600000011
19Akil ThomasSenators (Ott)C706713-83001003532102118.75%136559.360000110000141132.58%26726000.4000000000
20Mason GeertsenSenators (Ott)D7411011319546654518302.22%4093912.69123154000245000%0529000.2301001000
21Scott PerunovichSenators (Ott)D762810-722030594128194.88%4787611.5300014000132000%0321000.2300000000
22Adam MascherinSenators (Ott)LW22448-420151636182111.11%51808.1900011000001114.29%791000.8900000100
23Cliff PuSenators (Ott)RW49246-221404122347275.88%1155811.40000010000001063.64%1142000.2100000000
24Tyler AngleSenators (Ott)C332243601715102720.00%32557.7300000000000043.56%10101000.3100000001
25Gustav ForslingSenators (Ott)D65033-740132116750%254787.3600006000021000%029000.1300000000
26Jett WooSenators (Ott)D29022-120240000%71364.700000000002000%001000.2900000000
27Alec RegulaSenators (Ott)D50011-416012124440%182484.970000000003000%008000.0800000000
28Ivan MorozovSenators (Ott)C1000000000000%011.320000000001000%00000000000000
29Jesse PuljujarviSenateursRW1000-200114130%12525.2700016000030062.50%81000000000000
Team Total or Average1633327563890-19548725160716642778968149011.77%9232495015.289216025235329133710451527382250.69%5244552539490.71730112374038
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
1David RittichSenators (Ott)50241760.8783.802682001701396649710.600154526321
2Justus AnnunenSenators (Ott)41181240.8773.982219001471194616410.400103739401
3Olivier RodrigueSenators (Ott)10001.0000330001814010009000
Team Total or Average924229100.8783.8549350031726081279113258274722


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
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)LW211998-01-01CANYes205 Lbs5 ft10NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Akil ThomasSenators (Ott)C192000-01-01CANYes195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Alec RegulaSenators (Ott)D192000-01-01USAYes208 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Anton KarlssonSenators (Ott)LW231996-01-01SWEYes194 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------600,000$--------No--------
Artem ZubSenators (Ott)D241995-01-01RUSNo198 Lbs6 ft2NoNoTrade2024-08-06NoNo2FalseFalsePro & Farm975,000$0$0$No975,000$--------975,000$--------No--------
Arttu RuotsalainenSenators (Ott)C221997-01-01FINYes181 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm600,000$0$0$No---------------------------
Brendan PerliniSenators (Ott)LW231996-01-01GBRYes211 Lbs6 ft3NoNoTrade2025-04-14NoNo1FalseFalsePro & Farm850,000$0$0$No---------------------------
Bryce KindoppSenators (Ott)RW201999-01-01CANYes185 Lbs6 ft1NoNoFree AgentNoNo42024-08-21FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------
C.J SuessSenators (Ott)LW251994-01-01USANo190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm850,000$0$0$No---------------------------
Carl GrundstromSenators (Ott)RW221997-01-01SWEYes194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Chase De LeoSenators (Ott)C231996-01-01USAYes179 Lbs5 ft9NoNoTrade2024-12-29NoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Cliff PuSenators (Ott)RW211998-01-01CANYes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Corey ShuenemanSenators (Ott)D241995-01-01USANo196 Lbs6 ft0NoNoFree AgentNoNo22025-02-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------
David RittichSenators (Ott)G271992-01-01CZENo206 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$0$0$No2,500,000$--------950,000$--------No--------
Gustav ForslingSenators (Ott)D231996-01-01SWEYes186 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Ivan MorozovSenators (Ott)C192000-01-01RUSYes178 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Jesse GrahamSenators (Ott)D251994-01-01CANNo170 Lbs5 ft11NoNoTrade2024-08-08NoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------
Jett WooSenators (Ott)D192000-01-01CANYes190 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Jonas SiegenthalerSenators (Ott)D221997-01-01CHEYes210 Lbs6 ft3NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm600,000$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Justus AnnunenSenators (Ott)G192000-01-01FINNo210 Lbs6 ft4NoNoTrade2024-12-28NoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Kiefer SherwoodSenators (Ott)RW241995-01-01USANo194 Lbs6 ft0NoNoTrade2024-09-07NoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Marc MichaelisSenators (Ott)LW241995-01-01DEUYes187 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Martin FehervarySenators (Ott)D201999-01-01SVKYes199 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Mason GeertsenSenators (Ott)D241995-01-01CANNo185 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Olivier RodrigueSenators (Ott)G192000-01-01CANNo158 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Radek FaksaSenators (Ott)C251994-01-01CZENo200 Lbs6 ft2NoNoFree Agent2024-08-06NoNo32024-08-21FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Scott PerunovichSenators (Ott)D211998-01-01USAYes175 Lbs5 ft10NoNoTrade2025-04-14NoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Tyler AngleSenators (Ott)C192000-01-01CANYes165 Lbs5 ft10NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Vitaly AbramovSenators (Ott)LW211998-01-01RUSYes181 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Zac LeslieSenators (Ott)D251994-01-01CANNo185 Lbs6 ft0NoNoFree AgentNoNo22024-10-18FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3022.07190 Lbs6 ft01.57680,833$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brendan PerliniRadek FaksaKiefer Sherwood40122
2C.J SuessChase De LeoCarl Grundstrom30122
3Marc MichaelisArttu RuotsalainenCliff Pu20122
4Vitaly AbramovAkil ThomasBryce Kindopp10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Zac LeslieArtem Zub40122
2Corey ShuenemanJesse Graham30122
3Jonas SiegenthalerMason Geertsen20122
4Martin FehervaryScott Perunovich10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brendan PerliniRadek FaksaKiefer Sherwood60122
2C.J SuessChase De LeoCarl Grundstrom40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Zac LeslieArtem Zub60122
2Corey ShuenemanJesse Graham40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Radek FaksaBrendan Perlini60122
2Chase De LeoC.J Suess40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Zac LeslieArtem Zub60122
2Corey ShuenemanJesse Graham40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Radek Faksa60122Zac LeslieArtem Zub60122
2Chase De Leo40122Corey ShuenemanJesse Graham40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Radek FaksaBrendan Perlini60122
2Chase De LeoC.J Suess40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Zac LeslieArtem Zub60122
2Corey ShuenemanJesse Graham40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brendan PerliniRadek FaksaKiefer SherwoodZac LeslieArtem Zub
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brendan PerliniRadek FaksaKiefer SherwoodZac LeslieArtem Zub
Extra Forwards
Normal PowerPlayPenalty Kill
Kiefer Sherwood, Chase De Leo, Carl GrundstromKiefer Sherwood, Chase De LeoKiefer Sherwood
Extra Defensemen
Normal PowerPlayPenalty Kill
Mason Geertsen, Martin Fehervary, Scott PerunovichMason GeertsenMason Geertsen, Martin Fehervary
Penalty Shots
Radek Faksa, Brendan Perlini, C.J Suess, Marc Michaelis, Kiefer Sherwood
Goalie
#1 : Justus Annunen, #2 : David Rittich
Custom OT Lines Forwards
Radek Faksa, Brendan Perlini, C.J Suess, Marc Michaelis, Kiefer Sherwood, Chase De Leo, Carl Grundstrom, Vitaly Abramov, Arttu Ruotsalainen, Cliff Pu
Custom OT Lines Defensemen
Zac Leslie, Artem Zub, Corey Shueneman, Jesse Graham, Jonas Siegenthaler


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
1Admirals64200000312653210000016124321000001514180.66731508100109951171221594995084851182664812430930.00%19384.21%1993190752.07%873169551.50%680134950.41%174299916767321438727
2Americans613000022228-630200001916-7311000011312140.333223557101099511712199949950848512116622101381026.32%11463.64%0993190752.07%873169551.50%680134950.41%174299916767321438727
3Barracuda3110100011101211000007701000100043140.6671118290010995117121009499508485110437166611545.45%80100.00%0993190752.07%873169551.50%680134950.41%174299916767321438727
4Bears22000000642110000002111100000043141.00061117001099511712689499508485159251047400.00%5260.00%0993190752.07%873169551.50%680134950.41%174299916767321438727
5Canucks311001001112-11100000031220100100811-330.5001118290010995117121079499508485110034245413430.77%7271.43%0993190752.07%873169551.50%680134950.41%174299916767321438727
6Checkers22000000945110000004131100000053241.000911200010995117126594995084851642412376233.33%6183.33%0993190752.07%873169551.50%680134950.41%174299916767321438727
7Comets2110000010821010000057-21100000051420.5001016260010995117126994995084851653318335360.00%9277.78%0993190752.07%873169551.50%680134950.41%174299916767321438727
8Condors31200000914-51100000064220200000310-720.333914230010995117121169499508485110021205316425.00%10280.00%0993190752.07%873169551.50%680134950.41%174299916767321438727
9Crunch21100000810-2110000003121010000059-420.500814220010995117127194995084851612614395120.00%7185.71%0993190752.07%873169551.50%680134950.41%174299916767321438727
10Eagles210000011183110000007341000000145-130.7501120310010995117127094995084851613463812325.00%30100.00%0993190752.07%873169551.50%680134950.41%174299916767321438727
11Firebirds20001001770100010002111000000156-130.75071219001099511712709499508485179286473133.33%3166.67%0993190752.07%873169551.50%680134950.41%174299916767321438727
12Griffins31200000121202020000079-21100000053220.33312213300109951171211894995084851984766013215.38%30100.00%0993190752.07%873169551.50%680134950.41%174299916767321438727
13Gulls513010001519-42020000058-3311010001011-140.4001524390010995117121759499508485116147149018316.67%7185.71%0993190752.07%873169551.50%680134950.41%174299916767321438727
14Icehogs612000122628-2312000001213-1300000121415-160.500264268101099511712207949950848512127140131401230.00%21861.90%0993190752.07%873169551.50%680134950.41%174299916767321438727
15Islander21001000743100010003211100000042241.00071320001099511712619499508485139148391417.14%40100.00%0993190752.07%873169551.50%680134950.41%174299916767321438727
16Little Stars31100010161152100001013671010000035-240.667162642101099511712110949950848519324257111218.18%10370.00%0993190752.07%873169551.50%680134950.41%174299916767321438727
17Marlies431000001812632100000151051100000032160.7501832500010995117121319499508485112835327714428.57%16287.50%0993190752.07%873169551.50%680134950.41%174299916767321438727
18Moose3110000113130110000006422010000179-230.500132235001099511712101949950848519433246916318.75%12375.00%1993190752.07%873169551.50%680134950.41%174299916767321438727
19Penguins21100000810-21010000025-31100000065120.50081119001099511712789499508485149231443700.00%7271.43%0993190752.07%873169551.50%680134950.41%174299916767321438727
20Phantoms413000001117-61010000034-131200000813-520.250112233001099511712137949950848511433928737228.57%14192.86%1993190752.07%873169551.50%680134950.41%174299916767321438727
21Punishers20001100990100010005411000010045-130.750916250010995117127094995084851592223910110.00%10100.00%0993190752.07%873169551.50%680134950.41%174299916767321438727
22Rockets321000001613321100000911-21100000072540.667162945001099511712115949950848519438105110440.00%5260.00%0993190752.07%873169551.50%680134950.41%174299916767321438727
23Thunderbirds5410000024231321000001214-222000000129380.80024366000109951171215594995084851142373410829827.59%17382.35%0993190752.07%873169551.50%680134950.41%174299916767321438727
24Wolfpack20200000614-81010000047-31010000027-500.000611170010995117126794995084851621912346233.33%6183.33%0993190752.07%873169551.50%680134950.41%174299916767321438727
25Wranglers330000001284110000003122200000097261.00012203200109951171294949950848519022235615426.67%5260.00%0993190752.07%873169551.50%680134950.41%174299916767321438727
Total803529052273283244401817030111631521140171202216165172-7930.581328544872301099511712276994995084851255086546815803539025.50%2164678.70%3993190752.07%873169551.50%680134950.41%174299916767321438727
_Since Last GM Reset803529052273283244401817030111631521140171202216165172-7930.581328544872301099511712276994995084851255086546815803539025.50%2164678.70%3993190752.07%873169551.50%680134950.41%174299916767321438727
_Vs Conference49202102015196200-4241013000019899-1251080201498101-3510.52019632952520109951171217089499508485116175222839512286227.19%1312878.63%3993190752.07%873169551.50%680134950.41%174299916767321438727
_Vs Division1867000147982-3935000013741-49320001342411180.50079127206201099511712621949950848516052031103561083128.70%511570.59%1993190752.07%873169551.50%680134950.41%174299916767321438727

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8093W432854487227692550865468158030
All Games
GPWLOTWOTL SOWSOLGFGA
8035295227328324
Home Games
GPWLOTWOTL SOWSOLGFGA
4018173011163152
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4017122216165172
Last 10 Games
WLOTWOTL SOWSOL
540001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3539025.50%2164678.70%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
949950848511099511712
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
993190752.07%873169551.50%680134950.41%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
174299916767321438727


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
13Admirals3Senators7WR1BoxScore
415Senators3Phantoms2WBoxScore
625Senators6Admirals4WR1BoxScore
942Marlies4Senators3LBoxScore
1157Senators6Americans2WR1BoxScore
1570Americans6Senators2LBoxScore
1887Thunderbirds5Senators6WBoxScore
2097Senators4Icehogs5LXXR1BoxScore
22110Senators3Americans5LR1BoxScore
24124Admirals6Senators4LBoxScore
26134Senators2Gulls1WXBoxScore
28143Icehogs5Senators3LR1BoxScore
30155Senators8Admirals7WBoxScore
32169Senators6Icehogs7LXXR1BoxScore
34176Thunderbirds6Senators1LBoxScore
38197Little Stars1Senators7WBoxScore
40207Senators3Canucks5LBoxScore
44224Little Stars5Senators6WXXBoxScore
48240Senators6Penguins5WBoxScore
50252Checkers1Senators4WBoxScore
52267Senators4Eagles5LXXBoxScore
55277Wolfpack7Senators4LBoxScore
59296Gulls3Senators2LBoxScore
61307Senators6Gulls4WBoxScore
63320Crunch1Senators3WBoxScore
65331Senators4Barracuda3WXBoxScore
68348Admirals3Senators5WR1BoxScore
71366Senators4Americans5LXXR1BoxScore
72374Eagles3Senators7WBoxScore
75384Senators5Checkers3WBoxScore
77395Senators4Punishers5LXBoxScore
79405Punishers4Senators5WXBoxScore
81416Senators7Rockets2WBoxScore
83428Islander2Senators3WXBoxScore
87450Senators2Gulls6LBoxScore
89459Phantoms4Senators3LBoxScore
92474Senators5Griffins3WBoxScore
94481Canucks1Senators3WBoxScore
96496Senators4Icehogs3WXXR1BoxScore
100510Icehogs6Senators5LBoxScore
105530Rockets6Senators7WBoxScore
108548Senators4Bears3WBoxScore
109558Griffins6Senators5LBoxScore
113578Thunderbirds3Senators5WBoxScore
115588Senators1Admirals3LR1BoxScore
118604Comets7Senators5LBoxScore
119613Senators3Marlies2WBoxScore
124631Firebirds1Senators2WXBoxScore
126644Senators6Thunderbirds4WBoxScore
128656Rockets5Senators2LBoxScore
129663Senators3Little Stars5LBoxScore
132681Wranglers1Senators3WBoxScore
134690Senators5Canucks6LXBoxScore
136707Barracuda2Senators4WBoxScore
138720Senators4Islander2WBoxScore
140728Senators2Wolfpack7LBoxScore
142737Moose4Senators6WBoxScore
145760Icehogs2Senators4WR1BoxScore
149783Griffins3Senators2LBoxScore
152793Senators5Firebirds6LXXBoxScore
154809Condors4Senators6WBoxScore
156817Senators5Comets1WBoxScore
158827Senators3Phantoms7LBoxScore
160837Gulls5Senators3LBoxScore
161842Senators2Condors5LBoxScore
163853Senators5Crunch9LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
166870Americans5Senators4LXXR1BoxScore
168878Senators2Phantoms4LBoxScore
171892Senators6Thunderbirds5WBoxScore
172897Penguins5Senators2LBoxScore
173905Senators4Moose5LXXBoxScore
176922Barracuda5Senators3LBoxScore
180945Bears1Senators2WBoxScore
181951Senators3Moose4LBoxScore
185969Americans5Senators3LR1BoxScore
187978Senators1Condors5LBoxScore
189987Senators4Wranglers3WBoxScore
1931005Marlies4Senators5WBoxScore
1961023Senators5Wranglers4WBoxScore
2001036Marlies2Senators7WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance75,36837,303
Attendance PCT94.21%93.26%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2817 - 93.89% 177,657$7,106,276$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,869,821$ 2,042,500$ 2,042,500$ 1,000,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
10,111$ 1,860,742$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 15,062$ 0$




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