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Belleville Senators
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Martin Dore | Morale : 50 | Team Overall : N/A
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Team Leaders

Team Stats
Team Info

General ManagerMartin Dore
CoachOttawa
DivisionNORTHEAST
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets450


Roster Info

Pro Team37
Farm Team19
Contract Limit56 / 250
Prospects57


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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
1Nathan WalkerX100.00754288646777856575626366656971515200292700,000$
2Joseph LaBateX100.00827155579182805658555861577072495000302700,000$
3Riley BarberX100.00643882657589836665616460656971405000292800,000$
4Dominic ToninatoX100.00713988648182856273605974626971474100291750,000$
5Kieffer Bellows (R)X100.00784285667680756468696260636567804500252750,000$
6Morgan Frost (R)X100.00643391756686907377726762716466784700244800,000$
7Cameron HillisX100.00553687586775675671525054576365665000231842,500$
8Liam FoudyX100.00643695727880776763616269656263825000231750,000$
9Connor ZaryX100.00614075637089836272646158626364815000221925,000$
10Lukas ReichelX100.00583695706885876770686462696163835000213925,000$
11Linus Karlsson (R)X100.00644171637389736265616359626466625000231842,500$
12Kyle BurroughsX100.00906869657386766430635677506768414400281700,000$
13Gavin BayreutherX100.00684379667783796330725969506971364700294750,000$
14Urho Vaakanainen (R)X100.00693788658086746330655864506466814700241832,500$
15Jakub GalvasX100.00563691636585845930605264476466485000244892,500$
16Nils LundkvistX100.00613490727086826930716456546264804500231925,000$
17Ryker Evans (R)X100.00594071616873725930675456486264765000211842,500$
Scratches
1Daniel CarrXX100.00403540403580904020404040302525115000311700,000$
2Kenny AgostinoX100.00403540403580904020404040302525115000311750,000$
3Tyler GraovacX100.00403540403580904020404040302525115000302700,000$
4Tom KuhnhacklXX100.00403540403580904020404040302525115000312700,000$
5Kyle RauX100.00553780636482846273616256637173495000302700,000$
6Kevin RoyX100.00403540403580904020404040302525115000302700,000$
7Peter CehlarikX100.00403540403580904020404040302525115000281700,000$
8Nolan Patrick (R)X100.004035404035809040204040403025251150002521,000,000$
9Nicholas Caamano (R)X100.00403540403580904020404040302525115000253702,020$
10Matej PekarX100.00653972547473705362555154526365625000231750,000$
11Lukas Svejkovsky (R)X100.00633595566381685560585352546264615000212842,500$
12Rob O'GaraX100.00403540403580904020404040302525115000302700,000$
13Jake BischoffX100.00663887557568695330565457466971405000292750,000$
14Lawrence Pilut (R)X100.00603883657180716330666064516869365000271925,000$
15Adam Wilsby (R)X100.00663986557564735430575155456365615000232830,000$
16Jeremy Davies (R)X100.00594069636879846430675860516769425000263702,020$
TEAM AVERAGE100.0059397157628181564356535549545646490
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
1Magnus Hellberg100.0052997296546769697054747386994700324750,000$
2Samuel Ersson (R)100.0063997976666870707158736471995000231842,500$
Scratches
1Evan Cormier (R)100.0047855783485454555543666575995000253735,000$
2Arvid Soderblom100.0059997879626769697055736471995000241925,000$
TEAM AVERAGE100.005596728458646666675372677699490
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ottawa30303030303011CAN43140,000$


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PriorityTypeDescription
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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
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 Contrat Signature Date 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 WilsbyBelleville Senators (OTT)D238/7/2000Yes188 Lbs6 ft1NoNoN/ANoNo2Pro & Farm830,000$0$0$No830,000$--------No--------Link
Arvid SoderblomBelleville Senators (OTT)G248/19/1999No180 Lbs6 ft3NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------Link
Cameron HillisBelleville Senators (OTT)C236/24/2000No175 Lbs5 ft9NoNoN/ANoNo1Pro & Farm842,500$0$0$No------------------Link
Connor ZaryBelleville Senators (OTT)C229/25/2001No178 Lbs6 ft0NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------Link
Daniel CarrBelleville Senators (OTT)LW/RW3111/1/1991No186 Lbs6 ft0NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Link
Dominic ToninatoBelleville Senators (OTT)C293/9/1994No201 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Link
Evan CormierBelleville Senators (OTT)G2511/6/1997Yes200 Lbs6 ft3NoNoN/ANoNo3Pro & Farm735,000$0$0$No735,000$735,000$-------NoNo-------Link
Gavin BayreutherBelleville Senators (OTT)D295/12/1994No196 Lbs6 ft1NoNoN/ANoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$------NoNoNo------Link
Jake BischoffBelleville Senators (OTT)D297/25/1994No188 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Link
Jakub GalvasBelleville Senators (OTT)D246/15/1999No161 Lbs5 ft11NoNoN/ANoNo4Pro & Farm892,500$0$0$No892,500$892,500$892,500$------NoNoNo------Link
Jeremy DaviesBelleville Senators (OTT)D2612/4/1996Yes180 Lbs5 ft11NoNoN/ANoNo3Pro & Farm702,020$0$0$No702,020$702,020$-------NoNo-------Link
Joseph LaBateBelleville Senators (OTT)C304/16/1993 9:50:35 AMNo210 Lbs6 ft5NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Link
Kenny AgostinoBelleville Senators (OTT)LW314/30/1992No204 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Link
Kevin RoyBelleville Senators (OTT)C305/20/1993No172 Lbs5 ft9NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Link
Kieffer BellowsBelleville Senators (OTT)LW256/10/1998Yes195 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Link
Kyle BurroughsBelleville Senators (OTT)D287/12/1995 9:53:00 AMNo193 Lbs6 ft0NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Link
Kyle RauBelleville Senators (OTT)C3010/24/1992No171 Lbs5 ft9NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Link
Lawrence PilutBelleville Senators (OTT)D2712/30/1995Yes194 Lbs5 ft11NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------Link
Liam FoudyBelleville Senators (OTT)C232/4/2000No188 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Link
Linus KarlssonBelleville Senators (OTT)RW2311/16/1999Yes178 Lbs6 ft1NoNoN/ANoNo1Pro & Farm842,500$0$0$No------------------Link
Lukas ReichelBelleville Senators (OTT)LW215/17/2002No170 Lbs6 ft0NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------Link
Lukas SvejkovskyBelleville Senators (OTT)RW2111/28/2001Yes165 Lbs5 ft10NoNoN/ANoNo2Pro & Farm842,500$0$0$No842,500$--------No--------Link
Magnus HellbergBelleville Senators (OTT)G324/4/1991No220 Lbs6 ft6NoNoN/ANoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$------NoNoNo------Link
Matej PekarBelleville Senators (OTT)LW232/10/2000No185 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Link
Morgan FrostBelleville Senators (OTT)C245/14/1999Yes170 Lbs5 ft11NoNoN/ANoNo4Pro & Farm800,000$0$0$No800,000$800,000$800,000$------NoNoNo------Link
Nathan WalkerBelleville Senators (OTT)LW294/7/1994No187 Lbs5 ft9NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Link
Nicholas CaamanoBelleville Senators (OTT)RW259/7/1998Yes195 Lbs6 ft2NoNoN/ANoNo3Pro & Farm702,020$0$0$No702,020$702,020$-------NoNo-------Link
Nils LundkvistBelleville Senators (OTT)D237/27/2000No190 Lbs5 ft11NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------Link
Nolan PatrickBelleville Senators (OTT)C259/19/1998Yes201 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Link
Peter CehlarikBelleville Senators (OTT)LW288/2/1995No202 Lbs6 ft2NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Link
Riley BarberBelleville Senators (OTT)RW292/7/1994 9:57:08 AMNo199 Lbs6 ft0NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Link
Rob O'GaraBelleville Senators (OTT)D307/6/1993No214 Lbs6 ft4NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Link
Ryker EvansBelleville Senators (OTT)D2112/13/2001Yes189 Lbs5 ft10NoNoN/ANoNo1Pro & Farm842,500$0$0$No------------------Link
Samuel ErssonBelleville Senators (OTT)G2310/20/1999Yes176 Lbs6 ft2NoNoN/ANoNo1Pro & Farm842,500$0$0$No------------------Link
Tom KuhnhacklBelleville Senators (OTT)LW/RW311/21/1992No190 Lbs6 ft2NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Link
Tyler GraovacBelleville Senators (OTT)C304/27/1993No208 Lbs6 ft5NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Link
Urho VaakanainenBelleville Senators (OTT)D241/1/1999Yes200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm832,500$0$0$No------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3726.24189 Lbs6 ft11.89787,339$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lukas ReichelRiley Barber38122
2Liam FoudyDominic Toninato30122
3Kieffer BellowsDominic Toninato22122
4Lukas ReichelConnor ZaryLiam Foudy10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nils Lundkvist38122
2Urho VaakanainenKieffer Bellows30122
3Nils Lundkvist22122
4Urho Vaakanainen10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lukas ReichelRiley Barber60122
2Liam FoudyDominic Toninato40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nils Lundkvist60122
2Urho VaakanainenKieffer Bellows40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Lukas Reichel60122
2Liam FoudyDominic Toninato40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nils Lundkvist60122
2Urho Vaakanainen40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Nils Lundkvist60122
2Lukas Reichel40122Urho Vaakanainen40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Lukas Reichel60122
2Liam FoudyDominic Toninato40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nils Lundkvist60122
2Urho Vaakanainen40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Lukas ReichelRiley BarberNils Lundkvist
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Lukas ReichelRiley BarberNils Lundkvist
Extra Forwards
Normal PowerPlayPenalty Kill
Joseph LaBate, , Connor ZaryJoseph LaBate, Connor Zary
Extra Defensemen
Normal PowerPlayPenalty Kill
, Nils Lundkvist, Urho VaakanainenNils Lundkvist, Urho Vaakanainen
Penalty Shots
, Lukas Reichel, Liam Foudy, Dominic Toninato,
Goalie
#1 : Samuel Ersson, #2 : Magnus Hellberg


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3014
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
36 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,913,154$ 2,685,606$ 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$




Belleville 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

Belleville Senators Goalies Stat Leaders (Regular Season)

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

Belleville 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

Belleville 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

Belleville Senators Goalies Stat Leaders (Play-Off)

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