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Senators
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Didier Theodore | Morale : 40 | Team Overall : 65
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Team Leaders

Team Stats
Team Info

General ManagerDidier Theodore
CoachMario Lemieux
DivisionJohn-Ahearne
ConferenceRobert-Lebel
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team34
Farm Team20
Contract Limit54 / 250
Prospects0


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.
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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
1Zachary Sanford (R)X100.0079227480748676817276767276716339407502511,250,000$
2Christoph Bertschy (R)X100.0072278379818175747274746979695438407302500$
3C.J Suess (R)X100.007931787581716774657278676854544140710251850,000$
4Marc Michaelis (R)X100.007739767168776471687775726754514640710241750,000$
5Kevin RooneyX100.006545777268747568787175657556553240700261600,000$
6Mason Appleton (R)X100.0058368274706974728081745960504846406902300$
7Carl Grundstrom (R)X100.007252877171767070696971667350495940690221900,000$
8Grant Besse (R)X100.006032767365766770726768637451522840670251750,000$
9Tomas HykaX100.0061347668606062658080655560505124406502600$
10Arttu Ruotsalainen (R)X100.005237736962726768575984576847474540650221600,000$
11Bryce Kindopp (R)X100.0061336559665661606057665961434360405902000$
12Akil Thomas (R)X100.007346595668496557466160485641415840560191500,000$
13Jordan SchmaltzX100.007538827977807573537670827178553540760261975,000$
14Keegan LoweX100.006927807782897372547571766274563540740261800,000$
15Joonas Lyytinen (R)X100.007529817371647070467556816059533940710241600,000$
16Nikita NesterovX100.0072258176717272675173706669605435406902600$
17Mason Geertsen (R)X100.007245786467597968546257706252513640660241500,000$
18Martin Fehervary (R)X100.006140727559556580438556624845456240650201500,000$
Scratches
1Jacob De La Rose (R)X100.0073238774818776677077748076665045407402400$
2Vitaly Abramov (R)X100.005635797672676573606877537146465440670211500,000$
3Anton Karlsson (R)X100.006526697865685876607065687347474140660232800,000$
4Adam Mascherin (R)X100.005441667354605871636267577546466140630212500,000$
5David Kase (R)X100.0065336766626368636764695667464640406202200$
6Cliff Pu (R)X100.005726725464655565586470406743434140590211500,000$
7Tyler Angle (R)X100.005444586452676161595652455942436340550192500,000$
8Ivan Morozov (R)X100.005338615761505958545560474841415840540191500,000$
9Jonas Siegenthaler (R)X100.0063268566686073613870548052484743406702200$
10Gustav Forsling (R)X100.007134766358706163446670605746464340630231500,000$
11Alec Regula (R)X100.006142635755616066465155674441416040590191500,000$
12Jett Woo (R)X100.005523636145526164336841574043415240550192500,000$
TEAM AVERAGE100.00653474696768676859696763645249454066
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
1David Rittich100.006865856362828459558474595652406902721,500,000$
2Arvid Soderblom100.005966785456667257597662444364406202000$
Scratches
1Olivier Rodrigue100.00437054555457595970574741416240570193500,000$
2Olle Eriksson Ek100.005851645763635360545661424250405702000$
TEAM AVERAGE100.0057637057596767596068614746574061
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.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade 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 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)LW211998-01-01Yes205 Lbs5 ft10NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------No--------Link
Akil ThomasSenators (Ott)C192000-01-01Yes195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$0$No------------------
Alec RegulaSenators (Ott)D192000-01-01Yes208 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$0$No------------------
Anton KarlssonSenators (Ott)LW231996-01-01Yes194 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------No--------
Arttu RuotsalainenSenators (Ott)C221997-01-01Yes181 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm600,000$600,000$0$0$No------------------
Arvid SoderblomSenators (Ott)G201999-01-01No180 Lbs6 ft3NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------
Bryce KindoppSenators (Ott)RW201999-01-01Yes185 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------
C.J SuessSenators (Ott)LW251994-01-01Yes190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm850,000$850,000$0$0$No------------------
Carl GrundstromSenators (Ott)RW221997-01-01Yes194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$900,000$0$0$No------------------
Christoph BertschySenators (Ott)C251994-01-01Yes182 Lbs5 ft10NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------
Cliff PuSenators (Ott)RW211998-01-01Yes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$0$No------------------
David KaseSenators (Ott)RW221997-01-01Yes169 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------
David RittichSenators (Ott)G271992-01-01No206 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$1,500,000$0$0$No2,500,000$--------No--------
Grant BesseSenators (Ott)RW251994-01-01Yes185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$750,000$0$0$No------------------
Gustav ForslingSenators (Ott)D231996-01-01Yes186 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$0$No------------------
Ivan MorozovSenators (Ott)C192000-01-01Yes178 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$0$No------------------
Jacob De La RoseSenators (Ott)C241995-01-01Yes185 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------
Jett WooSenators (Ott)D192000-01-01Yes190 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------No--------Link
Jonas SiegenthalerSenators (Ott)D221997-01-01Yes210 Lbs6 ft3NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------
Joonas LyytinenSenators (Ott)D241995-01-01Yes189 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm600,000$600,000$0$0$No------------------
Jordan SchmaltzSenators (Ott)D261993-01-01No180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm975,000$975,000$0$0$No------------------
Keegan LoweSenators (Ott)D261993-01-01No200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm800,000$800,000$0$0$No------------------
Kevin RooneySenators (Ott)C261993-01-01No190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm600,000$600,000$0$0$No------------------
Marc MichaelisSenators (Ott)LW241995-01-01Yes187 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$750,000$0$0$No------------------
Martin FehervarySenators (Ott)D201999-01-01Yes199 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$0$No------------------
Mason AppletonSenators (Ott)RW231996-01-01Yes193 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------
Mason GeertsenSenators (Ott)D241995-01-01Yes185 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$0$No------------------
Nikita NesterovSenators (Ott)D261993-01-01No191 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------
Olivier RodrigueSenators (Ott)G192000-01-01No158 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm500,000$500,000$0$0$No500,000$500,000$-------NoNo-------
Olle Eriksson EkSenators (Ott)G201999-01-01No189 Lbs6 ft3NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------
Tomas HykaSenators (Ott)RW261993-01-01No160 Lbs5 ft10NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------
Tyler AngleSenators (Ott)C192000-01-01Yes165 Lbs5 ft10NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------No--------Link
Vitaly AbramovSenators (Ott)LW211998-01-01Yes181 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$0$No------------------
Zachary SanfordSenators (Ott)LW251994-01-01Yes185 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$1,250,000$0$0$No------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3422.56187 Lbs6 ft00.91481,618$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zachary SanfordChristoph BertschyMason Appleton40014
2C.J SuessKevin RooneyCarl Grundstrom30023
3Marc MichaelisArttu RuotsalainenGrant Besse20122
4Zachary SanfordAkil ThomasTomas Hyka10131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan SchmaltzKeegan Lowe40032
2Joonas LyytinenNikita Nesterov30032
3Mason GeertsenMartin Fehervary20122
4Jordan SchmaltzKeegan Lowe10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zachary SanfordChristoph BertschyMason Appleton60005
2C.J SuessKevin RooneyCarl Grundstrom40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan SchmaltzKeegan Lowe60005
2Joonas LyytinenNikita Nesterov40005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Christoph BertschyZachary Sanford60140
2Kevin RooneyC.J Suess40140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan SchmaltzKeegan Lowe60140
2Joonas LyytinenNikita Nesterov40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Christoph Bertschy60140Jordan SchmaltzKeegan Lowe60140
2Kevin Rooney40140Joonas LyytinenNikita Nesterov40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Christoph BertschyZachary Sanford60122
2Kevin RooneyC.J Suess40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan SchmaltzKeegan Lowe60122
2Joonas LyytinenNikita Nesterov40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Zachary SanfordChristoph BertschyMason AppletonJordan SchmaltzKeegan Lowe
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Zachary SanfordChristoph BertschyMason AppletonJordan SchmaltzKeegan Lowe
Extra Forwards
Normal PowerPlayPenalty Kill
Marc Michaelis, Mason Appleton, Carl GrundstromMarc Michaelis, Mason AppletonMarc Michaelis
Extra Defensemen
Normal PowerPlayPenalty Kill
Nikita Nesterov, Mason Geertsen, Martin FehervaryNikita NesterovNikita Nesterov, Mason Geertsen
Penalty Shots
Zachary Sanford, Christoph Bertschy, C.J Suess, Kevin Rooney, Marc Michaelis
Goalie
#1 : David Rittich, #2 : Arvid Soderblom
Custom OT Lines Forwards
Zachary Sanford, Christoph Bertschy, C.J Suess, Kevin Rooney, Marc Michaelis, Mason Appleton, Mason Appleton, Carl Grundstrom, Grant Besse, Tomas Hyka, Arttu Ruotsalainen
Custom OT Lines Defensemen
Jordan Schmaltz, Keegan Lowe, Joonas Lyytinen, Nikita Nesterov, Mason Geertsen


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000%000%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,637,500$ 1,532,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 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