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Leftovers
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Francois Bedard | Morale : 50 | Team Overall : 61
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Team Leaders

Team Stats
Team Info

General ManagerFrancois Bedard
CoachDavid Quinn
DivisionLafleur
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team24
Farm Team21
Contract Limit45 / 60
Prospects61


Team History

This Season0-0-0 (0PTS)
History215-326-54 (0.361%)
Playoff Appearances4
Playoff Record (W-L)5-4
Stanley Cup0


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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.
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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
1Jujhar Khaira0XX100.00987085788166616165464780256465050690281975,000$
2Ryan McLeod0X100.006342947776648467734947772555560506702300$
3Steven Fogarty0XXX100.00787684627668706278434366544646050650291750,000$
4Greg McKegg0XXX100.00774495717058565855474677256565050640301900,000$
5Jonny Brodzinski0X100.006342867378586461654746712553530506302900$
6Vinni Lettieri0XX100.00784393676763677051494859255353050630271750,000$
7Mason Shaw0X100.00636755676771736480434359594444050630231750,000$
8Anthony Angello0X100.00807982667963655750393966534646050620261725,000$
9Julien Gauthier0X100.00854694778456656034474661255757050610241775,000$
10Nic Petan0XX100.00614092796256646844484565256060050610271750,000$
11Joel Kiviranta0XX100.008244938066546758254845642555550506002611,050,000$
12Klim Kostin0XX100.008859837479535858444847612549490506002311,075,833$
13Dean Kukan0X100.007543887770696464254339752563630506202911,650,000$
14Alec Regula (R)0X100.007945777078756467253939782545450496202200$
15Haydn Fleury0X100.008259887678696758254039807562620506102611,300,000$
16Braden Schneider (R)0X100.007958927577676255254339722547470505902111,325,000$
17Zachary Jones (R)0X100.006140997062666361254238737546460505902100$
18Gabriel Carlsson0X100.00694391787860576025423971255858050590251750,000$
19Nils Lundkvist (R)0X100.006742997666645864254138662546460505802211,775,000$
20Libor Hajek0X100.006342867675616154254038722556560505702400$
Scratches
1Darren Raddysh0X100.00767481677466705325333365415353050560261750,000$
TEAM AVERAGE100.0075528773736365614244426935535405061
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
1Ukko-Pekka Luukkonen (R)0100.00505164885051505551513045450505602300$
2Michael Hutchinson0100.00484455804948505449493059600505403211,008,000$
Scratches
1Jack LaFontaine (R)0100.00464050824648515351513044440505302411,000,000$
TEAM AVERAGE100.004845568348495054505030495005054
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
David Quinn94867957717650USA574450,000$


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 Force Waivers Waiver Possible Contract 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 10Link
Alec RegulaLeftovers (Tru)D228/5/2000Yes208 Lbs193 CMNoNoNoNo0Pro & Farm0$0$NoLink
Anthony AngelloLeftovers (Tru)RW263/6/1996No209 Lbs196 CMNoNoNoNo1Pro & Farm725,000$725,000$0$0$NoLink / NHL Link
Braden SchneiderLeftovers (Tru)D219/20/2001Yes209 Lbs188 CMNoNoNoNo1Pro & Farm1,325,000$1,325,000$0$0$NoLink
Darren RaddyshLeftovers (Tru)D262/28/1996No200 Lbs185 CMNoNoNoNo1Pro & Farm750,000$750,000$0$0$NoLink
Dean KukanLeftovers (Tru)D297/8/1993No186 Lbs188 CMNoNoNoNo1Pro & Farm1,650,000$1,650,000$0$0$NoLink / NHL Link
Gabriel CarlssonLeftovers (Tru)D251/2/1997No203 Lbs196 CMNoNoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Greg McKeggLeftovers (Tru)C/LW/RW306/17/1992No192 Lbs183 CMNoNoNoNo1Pro & Farm900,000$900,000$0$0$NoLink / NHL Link
Haydn FleuryLeftovers (Tru)D267/8/1996No208 Lbs191 CMNoNoNoNo1Pro & Farm1,300,000$1,300,000$0$0$NoLink / NHL Link
Jack LaFontaineLeftovers (Tru)G241/6/1998Yes209 Lbs191 CMNoNoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLink
Joel KivirantaLeftovers (Tru)LW/RW263/23/1996No180 Lbs180 CMNoNoNoNo1Pro & Farm1,050,000$1,050,000$0$0$NoLink / NHL Link
Jonny BrodzinskiLeftovers (Tru)RW296/19/1993No215 Lbs185 CMNoNoNoNo0Pro & Farm0$0$NoLink / NHL Link
Jujhar KhairaLeftovers (Tru)C/LW288/13/1994No212 Lbs193 CMNoNoNoNo1Pro & Farm975,000$975,000$0$0$NoLink / NHL Link
Julien GauthierLeftovers (Tru)RW2410/15/1997No227 Lbs193 CMNoNoNoNo1Pro & Farm775,000$775,000$0$0$NoLink / NHL Link
Klim KostinLeftovers (Tru)LW/RW235/5/1999No212 Lbs191 CMNoNoNoNo1Pro & Farm1,075,833$1,075,833$0$0$NoLink / NHL Link
Libor HajekLeftovers (Tru)D242/4/1998No203 Lbs188 CMNoNoNoNo0Pro & Farm0$0$NoLink / NHL Link
Mason ShawLeftovers (Tru)C2311/2/1998No180 Lbs175 CMNoNoNoNo1Pro & Farm750,000$750,000$0$0$NoLink
Michael HutchinsonLeftovers (Tru)G323/1/1990No198 Lbs191 CMNoNoNoNo1Pro & Farm1,008,000$1,008,000$0$0$NoLink / NHL Link
Nic PetanLeftovers (Tru)LW/RW273/22/1995No175 Lbs175 CMNoNoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Nils LundkvistLeftovers (Tru)D227/27/2000Yes187 Lbs178 CMNoNoNoNo1Pro & Farm1,775,000$1,775,000$0$0$NoLink
Ryan McLeodLeftovers (Tru)C239/21/1999No207 Lbs188 CMNoNoNoNo0Pro & Farm0$0$NoLink
Steven FogartyLeftovers (Tru)C/LW/RW294/19/1993No204 Lbs191 CMNoNoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Ukko-Pekka LuukkonenLeftovers (Tru)G233/8/1999Yes220 Lbs193 CMNoNoNoNo0Pro & Farm0$0$NoLink
Vinni LettieriLeftovers (Tru)C/RW272/6/1995No185 Lbs180 CMNoNoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Zachary JonesLeftovers (Tru)D2110/18/2000Yes172 Lbs178 CMNoNoNoNo0Pro & Farm0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2425.42200 Lbs188 CM0.75752,451$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Steven FogartyJujhar KhairaVinni Lettieri34014
2Greg McKeggRyan McLeodJonny Brodzinski31113
3Nic PetanGreg McKeggAnthony Angello21221
4Joel KivirantaMason ShawJulien Gauthier14131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dean KukanHaydn Fleury36122
2Gabriel CarlssonBraden Schneider35122
3Zachary JonesNils Lundkvist29122
4Gabriel CarlssonHaydn Fleury0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Steven FogartyJujhar KhairaVinni Lettieri60122
2Greg McKeggRyan McLeodJonny Brodzinski40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Zachary JonesHaydn Fleury60122
2Gabriel CarlssonBraden Schneider40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jujhar KhairaSteven Fogarty60122
2Ryan McLeodGreg McKegg40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Dean KukanHaydn Fleury60122
2Libor HajekBraden Schneider40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jujhar Khaira60122Nils LundkvistHaydn Fleury60122
2Ryan McLeod40122Libor HajekBraden Schneider40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jujhar KhairaSteven Fogarty60122
2Ryan McLeodGreg McKegg40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dean KukanHaydn Fleury60122
2Zachary JonesBraden Schneider40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Steven FogartyJujhar KhairaVinni LettieriNils LundkvistHaydn Fleury
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Steven FogartyJujhar KhairaVinni LettieriNils LundkvistHaydn Fleury
Extra Forwards
Normal PowerPlayPenalty Kill
Vinni Lettieri, Jonny Brodzinski, Mason ShawVinni Lettieri, Jonny BrodzinskiVinni Lettieri
Extra Defensemen
Normal PowerPlayPenalty Kill
Braden Schneider, Zachary Jones, Nils LundkvistBraden SchneiderBraden Schneider, Zachary Jones
Penalty Shots
Jujhar Khaira, Ryan McLeod, Steven Fogarty, Greg McKegg, Vinni Lettieri
Goalie
#1 : Ukko-Pekka Luukkonen, #2 : Michael Hutchinson


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
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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%000.00%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 %
000.00%000.00%000.00%
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 Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,805,883$ 1,525,883$ 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$




Leftovers 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
1Trevor Moore2502322094411311442943690825.55%251398615.94212950454481415643.17292.21413
2Christian Fischer1861902053951323040136371526.57%286399421.4844428610279163112248.37241.98116
3Brock McGinn250157197354-3180385358104415.04%220515520.62446611020979165016744.7381.37621
4Johan Larsson20712818731518710632736072217.73%164467622.592944731421111225614465.77101.35419
5Andreas Johnsson971571573142241418114448432.44%129214822.1527305789112213546.51232.92510

Leftovers Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Darcy Kuemper1599650130.9262.16957468344465325191140.69656
2Anthony Stolarz1328429110.9133.24758643409469428463720.81760
3Curtis McElhinney84562080.9282.45507440207288017711510.75024
4Garret Sparks84274980.8863.7249582130726911396250.79434
5Hunter Miska47112010.7927.141940202311110631310.7504

Leftovers 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
Regular Season
20168456180033437426910542327001202021426042241100214172127451253746771051351391101226272695284190850238986683915692777828.16%2794284.95%131068178060.00%952159759.61%652123752.71%2138148717366241202610
201784293905146245378-13342161702034119191-7242132203112126187-61832454186631481758013220069775471666259688666715682855619.65%3246978.70%11654154842.25%735165644.38%499120441.45%1809112019826971313650
2018823930053143992221774124802313214100114411522030011851226397399713111212159126108729141069936887352830101381416532927023.97%3967182.07%19959178653.70%1046195453.53%627117253.50%1898122418176591238627
201984194903454223365-14242111803334131166-35428310012092199-1076222339161451977147123001107997492952274595876816553527320.74%3729973.39%91075203752.77%856181947.06%562113849.38%1978131119016681221594
202084502001553421216205422970042023895143422113011331831216212042162710481013814912892815934980873522886114644413613429327.19%2295874.67%10764155249.23%749161446.41%613120450.91%1864123620006761224593
202184235301412512729-21742132401211283337-5442102900201229392-163565128081320301711781613301110261030943222813102048916022799634.41%24011552.08%10721154446.70%559133042.03%840185045.41%1877121818856501303648
2022825960229481415066441332010324436937441264012623718129014681411211935032942862231427738879009637432631241288133827010840.00%1453377.24%11608128247.43%790177244.58%833157852.79%1626105221346511228594
Total Regular Season58317232602715162726652758-93291107136016107151457125520229265190011591212081503-29547226654387705281010088357796217761598858405754348196077512430411435192649025.44%197152673.31%8653501063750.30%55691148748.48%4859942051.58%12531796613941465287994331
Playoff
2016161150000055352076100000321220954000002323022551021570221211125561691891899431144165310601931.67%55983.64%119935755.74%16330653.27%11121052.86%410278331124233120
2020159600000523814752000002417784400000282171852681200015231225331921651532360121020166531833.96%110100.00%113831543.81%11128738.68%7119436.60%29119842311720791
Total Playoff954000001918153200000101004220000098110193251009361293113701064247941141932328.70%43783.72%212118665.05%13519369.95%7510273.53%2451711776712565

Leftovers 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
1Joey Anderson152383140244012019.17%2528218.8375122900008146.1232.2000
2Dylan Sikura1562127301113807.50%628318.9237101400000255.5601.9000
3Tom Kuhnhackl16615214624114313.95%123614.8035870000108.3301.7700
4Andrej Nestrasil165121702923559.09%1435322.0828101300010052.0200.9600
5John Moore1641216049243810.53%1938323.94325111011200.00%00.8400

Leftovers Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Darcy Kuemper1611500.9192.169742235431218000.00%0
2Curtis McElhinney159510.9372.489212038601393500.00%0