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Game Center
Flyers
3-2-1, 7pts
5
FINAL
1 GoldenKnights
2-3-1, 5pts
Team Stats
L1StreakW1
2-0-0Home Record2-1-0
1-2-1Away Record0-2-1
3-2-1Last 10 Games2-3-1
3.33Goals Per Game3.50
2.67Goals Against Per Game4.17
15.00%Power Play Percentage28.13%
89.29%Penalty Kill Percentage83.33%
Flyers
3-2-1, 7pts
2
FINAL
4 Devils
3-3-0, 6pts
Team Stats
L1StreakW1
2-0-0Home Record2-3-0
1-2-1Away Record1-0-0
3-2-1Last 10 Games3-3-0
3.33Goals Per Game2.67
2.67Goals Against Per Game3.17
15.00%Power Play Percentage13.79%
89.29%Penalty Kill Percentage70.00%
Team Leaders
Auston MatthewsGoals
Auston Matthews
7
Auston MatthewsAssists
Auston Matthews
6
Auston MatthewsPoints
Auston Matthews
13
Matias MaccelliPlus/Minus
Matias Maccelli
7
Ukko-Pekka LuukkonenWins
Ukko-Pekka Luukkonen
3
Ukko-Pekka LuukkonenSave Percentage
Ukko-Pekka Luukkonen
0.922

Team Stats
Goals For
20
3.33 GFG
Shots For
191
31.83 Avg
Power Play Percentage
15.0%
3 GF
Offensive Zone Start
39.0%
Goals Against
16
2.67 GAA
Shots Against
177
29.50 Avg
Penalty Kill Percentage
89.3%
3 GA
Defensive Zone Start
40.7%

Injury / Suspension
Martin Pospisil


Martin Pospisil

is out for 4 days because of a Bruised Right Shoulder Injury.
Team Info
General ManagerSebastien Lessard
CoachCraig Berube
DivisionMetropolitan
ConferenceEastern
CaptainAuston Matthews
Assistant #1Victor Hedman
Assistant #2Timo Meier
Uniforms
Arena Info
NamePhiladelphia Coliseum
Capacity25,000
Attendance0
Season Tickets10,000
Roster Info
Pro Team22
Farm Team23
Contract Limit45 / 55
Prospects23
Salary Cap
Estimated Season Salary Cap0$
Available Salary Cap90,000,000$
Special Salary Cap Value0$
Players In Salary Cap21
Finance
Year to Date Revenue0$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account253,297,182$
Projected Bank Account253,297,182$
Team History
This Season3-2-1 (7PTS)
History876-715-119 (0.512%)
Playoff Appearances11
Playoff Record (W-L)44-54
Stanley Cup0


Filter Tips
PriorityTypeDescription
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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
1Auston Matthews (C)X100.0056558488758984819576878976828645217802961$
2Timo Meier (A)X100.0080548483738696688161767167848540217203035,750,000$
3Casey MittelstadtX100.0048518784668092698471676364808050216902837,500,000$
4Mike AmadioX100.0070518681668298634060657640848340216903012,100,000$
5Yegor ChinakhovX100.0056508784657792694064746582747665216902556,000,000$
6Conor GarlandX100.0055438086408492644064647475848440216803036,000,000$
7Alexandre TexierX100.0070488081617778624061637299787855216702712,800,000$
8Matias MaccelliX100.0048448586537992684069666040767860216702646,000,000$
9J.T. CompherX100.0046498381578199598657617340868435216603126,100,000$
10Eric RobinsonX100.0071558876757489564047656940868035216403123,000,000$
11Stephen HallidayX100.006356897776696460745961654072717021630241925,000$
12Tristan Broz (R)X100.005546738764605059706058704072667020620242750,000$
13Morgan RiellyX100.0051578382738596674066677440888730217203246,500,000$
14Victor Hedman (A)X100.0053668476978166674080547369968910217103629,228,000$
15Jordan SpenceX100.0058448484538193644067627540747865217002545,000,000$
16Luke HughesX100.004750818364888968407561734070797521700231925,000$
17Mason LohreiX100.0050588577807893624061627140747665246802514,000,000$
18Henri JokiharjuX100.0055508381647971614066566740787955216602712,500,000$
Scratches
1Miles WoodX100.0067538077707480564049626240868035206303112,500,000$
2Martin PospisilX91.3299537576527258518247546740787555136002711,600,000$
Farm Team
1Riley TufteX100.006159687590736361405170709980775021650281800,000$
2Ben McCartneyX100.005658658159685860406259704074716521620251800,000$
3Dominic ToninatoX100.008151688058615159706355674088753021620321800,000$
4Kai Uchacz (R)X100.007360757768776756405754664070747521620231950,000$
5Parker FordX100.008241857746715348814550754076746021590262950,000$
6Matyas Sapovaliv (R)X100.007654887571817145403951517368758021570222925,000$
7Riley DuranX100.005547847564817136403438704072777022550241925,000$
8Patrick Giles (R)X100.006958867580766640403742564076766021550262850,000$
9Oskar PetterssonX100.005239857570786836403141544072757021520241925,000$
10Coulson Pitre (R)X100.006146877549605033403037584068648021490222925,000$
11Connor Clattenburg (R)X100.00748088268605030402535544066638521490213925,000$
12Lian BichselX100.009969757594767753404760724068728021690221925,000$
13Ilya LyubushkinX100.0070597575687679524052527340888230216703213,500,000$
14Philip KempX100.008261747573746932402835644078765521610271725,000$
15Montana OnyebuchiX100.007986607577555035403733504076666022560261725,000$
16Artem GuryevX100.007570387579555032402538504070637521540231925,000$
17Josh Filmon (R)X100.004838817543605033402541604068648020480221950,000$
18James Stefan (R)X100.005944867554605028402035504070657520460231950,000$
19Olli MaattaX100.0042528879697972604065566940888430136603222,500,000$
20Artem GrushnikovX100.005850837563595427402132594070657520540231925,000$
TEAM AVERAGE99.78645478796774725349515566497776572163
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
1Ukko-Pekka Luukkonen100.009273769989878989899191788355228502735,000,000$
2Anthony Stolarz100.009062609977787680797874888330227803213,800,000$
Scratches
Farm Team
1Nikita Tolopilo (R)100.00775660997072727070728076746023710262950,000$
2Jiri Patera100.00755760956054545758596078665523630271800,000$
3Isaac Poulter100.00885060855050505050505074626520580251900,000$
TEAM AVERAGE100.0084606395696868696970717974532271
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Craig Berube95698479967248CAN6135,000,000$


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
1Auston MatthewsFlyersC676135408244672515.22%614223.7312312170001310157.59%22400011.8300000210
2Morgan RiellyFlyersD61674608311299.09%213322.28000418000022000.00%000001.0500000010
3Jordan SpenceFlyersD6066300151016590.00%1213923.18011718000025000.00%000000.8600000001
4Matias MaccelliFlyersLW61457001214287.14%010217.0210111700000100.00%500000.9800000001
5Yegor ChinakhovFlyersRW63256401091221025.00%110617.7900031500000010.00%800000.9400000101
6Timo MeierFlyersRW6224-1405101571013.33%110918.25101417000000022.22%900000.7300000000
7Luke HughesFlyersD613406081012278.33%713823.01011515000021100.00%000000.5800000010
8Alexandre TexierFlyersLW6112-1006312228.33%19415.6900000000041033.33%1200000.4300000001
9Conor GarlandFlyersRW6202140371011020.00%17612.7600000000013010.00%100000.5200000000
10J.T. CompherFlyersLW61121002384612.50%37813.09000000000150066.67%1200000.5100000000
11Henri JokiharjuFlyersD602211401051020.00%38514.200000000001000.00%000000.4700000000
12Victor HedmanFlyersD60220801632120.00%612120.2900000000020000.00%000000.3300000000
13Mason LohreiFlyersD60221115845450.00%610317.3101141400008000.00%000000.3900100000
14Casey MittelstadtFlyersC6011-10001215390.00%210918.22000215000010049.24%13200000.1800000000
15Mike AmadioFlyersRW6101-1203572514.29%16410.77000000002320013.33%1500000.3100000000
16Eric RobinsonFlyersLW6000-100212010.00%0467.76000115000000033.33%600000.0000000000
17Martin PospisilFlyersC3000-140240000.00%0103.5300000000000031.25%1600000.0000000000
18Stephen HallidayFlyersC6000140983020.00%06310.5000000000000039.19%7400000.0000000000
19Tristan BrozFlyersC3000000120110.00%0175.7100000000000058.33%1200000.0000000000
Team Total or Average108203858247151171251914512310.47%52174216.143584316800031973348.10%52600010.6700100334
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
1Ukko-Pekka LuukkonenFlyers53110.9222.3930100121540000.000051010
2Anthony StolarzFlyers10100.8264.0060004230000.000015000
Team Total or Average63210.9102.6636100161770000.000066010


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 Contract Type 2040 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2041 204220432044204520462047Salary Year 9Salary Year 10Link
Alexandre TexierFlyersLW271999-09-13No196 Lbs6 ft1NoNoYes1Pro & Farm2,800,000$2,800,000$2,800,000$No
UFA
Link / NHL Link
Anthony StolarzFlyersG321994-01-20No232 Lbs6 ft6NoNoYes1Pro & Farm3,800,000$3,800,000$3,800,000$No
UFA
Link / NHL Link
Auston MatthewsFlyersC291997-09-17No215 Lbs6 ft3YesNoYes6Pro Only1$1$1$No12,500,000$12,500,000$12,500,000$12,500,000$12,500,000$
UFA
Link / NHL Link
Casey MittelstadtFlyersC281998-11-22No205 Lbs6 ft1NoNoYes3Pro Only7,500,000$7,500,000$7,500,000$No7,500,000$7,500,000$
UFA
Link / NHL Link
Conor GarlandFlyersRW301996-03-11No165 Lbs5 ft10NoNoYes3Pro Only6,000,000$6,000,000$6,000,000$No6,000,000$6,000,000$
UFA
Link / NHL Link
Eric RobinsonFlyersLW311995-06-14No220 Lbs6 ft2NoNoYes2Pro & Farm3,000,000$3,000,000$3,000,000$No3,000,000$
UFA
Link / NHL Link
Henri JokiharjuFlyersD271999-06-17No205 Lbs6 ft0NoNoYes1Pro & Farm2,500,000$2,500,000$2,500,000$No
UFA
Link / NHL Link
J.T. CompherFlyersLW311995-04-08No191 Lbs6 ft0NoNoYes2Pro Only6,100,000$6,100,000$6,100,000$No6,100,000$
UFA
Link / NHL Link
Jordan SpenceFlyersD252001-02-24No188 Lbs5 ft11NoNoYes4Pro Only5,000,000$5,000,000$5,000,000$No5,000,000$5,000,000$5,000,000$
UFA
Link / NHL Link
Luke HughesFlyersD232003-09-09No198 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$925,000$No
RFA
Link / NHL Link
Martin Pospisil (Out of Payroll)FlyersC271999-11-19No173 Lbs6 ft2NoNoNo1Pro & Farm1,600,000$1,600,000$1,600,000$No
UFA
Link / NHL Link
Mason LohreiFlyersD252001-01-17No218 Lbs6 ft5NoNoYes1Pro & Farm4,000,000$4,000,000$4,000,000$No
RFA
Link / NHL Link
Matias MaccelliFlyersLW262000-10-14No187 Lbs5 ft11NoNoYes4Pro Only6,000,000$6,000,000$6,000,000$No6,000,000$6,000,000$6,000,000$
UFA
Link / NHL Link
Mike AmadioFlyersRW301996-05-13No206 Lbs6 ft1NoNoYes1Pro & Farm2,100,000$2,100,000$2,100,000$No
UFA
Link / NHL Link
Miles WoodFlyersLW311995-09-13No209 Lbs6 ft2NoNoYes1Pro & Farm2,500,000$2,500,000$2,500,000$No
UFA
Link / NHL Link
Morgan RiellyFlyersD321994-03-09No219 Lbs6 ft1NoNoYes4Pro Only6,500,000$6,500,000$6,500,000$No6,500,000$6,500,000$6,500,000$
UFA
Link / NHL Link
Stephen HallidayFlyersC242002-07-02No214 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$925,000$No
RFA
Link / NHL Link
Timo MeierFlyersRW301996-10-08No220 Lbs6 ft1NoNoYes3Pro Only5,750,000$5,750,000$5,750,000$No5,750,000$5,750,000$
UFA
Link / NHL Link
Tristan BrozFlyersC242002-10-10Yes205 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$750,000$No750,000$
RFA
Link / NHL Link
Ukko-Pekka LuukkonenFlyersG271999-03-09No220 Lbs6 ft4NoNoYes3Pro Only5,000,000$5,000,000$5,000,000$No5,000,000$5,000,000$
UFA
Link / NHL Link
Victor HedmanFlyersD361990-12-18No244 Lbs6 ft7NoNoYes2Pro Only9,228,000$9,228,000$9,228,000$No9,228,000$
UFA
Link / NHL Link
Yegor ChinakhovFlyersRW252001-02-01No203 Lbs6 ft1NoNoYes5Pro Only6,000,000$6,000,000$6,000,000$No6,000,000$6,000,000$6,000,000$6,000,000$
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2228.18206 Lbs6 ft22.363,999,000$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
87,978,001$79,328,000$60,250,000$36,000,000$18,500,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matias MaccelliAuston MatthewsYegor Chinakhov36113
2Alexandre TexierCasey MittelstadtTimo Meier34113
3J.T. CompherStephen HallidayConor Garland20122
4Eric RobinsonTristan BrozMike Amadio10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Luke HughesVictor Hedman40023
2Morgan RiellyJordan Spence35122
3Mason LohreiHenri Jokiharju25122
4Luke HughesVictor Hedman0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matias MaccelliAuston MatthewsTimo Meier60113
2Eric RobinsonCasey MittelstadtYegor Chinakhov40113
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Morgan RiellyJordan Spence60122
2Mason LohreiLuke Hughes40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Auston MatthewsMike Amadio60122
2J.T. CompherConor Garland40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Morgan RiellyJordan Spence60122
2Luke HughesVictor Hedman40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Auston Matthews60131Morgan RiellyJordan Spence60131
2J.T. Compher40131Luke HughesVictor Hedman40131
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Auston MatthewsYegor Chinakhov60023
2Casey MittelstadtTimo Meier40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Luke HughesVictor Hedman60122
2Morgan RiellyJordan Spence40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Matias MaccelliAuston MatthewsYegor ChinakhovLuke HughesVictor Hedman
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Matias MaccelliAuston MatthewsYegor ChinakhovLuke HughesVictor Hedman
Extra Forwards
Normal PowerPlayPenalty Kill
Mike Amadio, Eric Robinson, Tristan BrozMike Amadio, Conor GarlandAlexandre Texier
Extra Defensemen
Normal PowerPlayPenalty Kill
Mason Lohrei, Henri Jokiharju, Jordan SpenceHenri JokiharjuMason Lohrei, Henri Jokiharju
Penalty Shots
Alexandre Texier, Yegor Chinakhov, Auston Matthews, Conor Garland, Timo Meier
Goalie
#1 : Ukko-Pekka Luukkonen, #2 : Anthony Stolarz, #3 : 0


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
1Bruins1000010023-1000000000001000010023-110.5002460011003181391359623300.00%20100.00%09020444.12%10521349.30%5810654.72%2316276115
2Devils1010000024-2000000000001010000024-200.000246001010261277023101513200.00%4175.00%09020444.12%10521349.30%5810654.72%2315236137
3GoldenKnights11000000514000000000001100000051421.00059140021204111141602276224125.00%10100.00%09020444.12%10521349.30%5810654.72%2719197137
4Mammoth1010000034-1000000000001010000034-100.000369002010221147028121416200.00%6183.33%09020444.12%10521349.30%5810654.72%1912278125
5Oilers11000000321110000003210000000000021.000369001110311113703592015200.00%10190.00%09020444.12%10521349.30%5810654.72%2113267126
6Rangers11000000523110000005230000000000021.00059140041004022513034510287228.57%50100.00%09020444.12%10521349.30%5810654.72%2315248126
Total632001002016422000000844412001001212070.58320385800114501917556591177527111720315.00%28389.29%09020444.12%10521349.30%5810654.72%13892148447538
_Since Last GM Reset632001002016422000000844412001001212070.58320385800114501917556591177527111720315.00%28389.29%09020444.12%10521349.30%5810654.72%13892148447538
_Vs Conference31100100990110000005232010010047-330.500917260062109742252919224316412216.67%11190.91%09020444.12%10521349.30%5810654.72%694775213719
_Vs Division21100000761110000005231010000024-220.50071320005110663412200571525419222.22%9188.89%09020444.12%10521349.30%5810654.72%463047152513

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
67L1203858191177527111700
All Games
GPWLOTWOTL SOWSOLGFGA
63201002016
Home Games
GPWLOTWOTL SOWSOLGFGA
220000084
Visitor Games
GPWLOTWOTL SOWSOLGFGA
41201001212
Last 10 Games
WLOTWOTL SOWSOL
320100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
20315.00%28389.29%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
755659111450
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
9020444.12%10521349.30%5810654.72%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
13892148447538


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
Trade Deadline --- Trades can’t be done after this day is simulated!
17Oilers2Flyers3BWBoxScore
420Rangers2Flyers5BWBoxScore
742Flyers3Mammoth4ALBoxScore
959Flyers2Bruins3ALXBoxScore
1179Flyers5GoldenKnights1AWBoxScore
1281Flyers2Devils4ALBoxScore


Depth Chart
Left WingCenterRight Wing
Matias Maccelli
Matias Maccelli
AGE:26
SK:86
EN:79
DU:92
PH:68
PA:69
SC:66
DF:60
Alexandre Texier
Alexandre Texier
AGE:27
SK:81
EN:77
DU:78
PH:62
PA:61
SC:63
DF:72
J.T. Compher
J.T. Compher
AGE:31
SK:81
EN:81
DU:99
PH:59
PA:57
SC:61
DF:73
Riley Tufte
Riley Tufte
AGE:28
SK:75
EN:73
DU:63
PH:61
PA:51
SC:70
DF:70
Eric Robinson
Eric Robinson
AGE:31
SK:76
EN:74
DU:89
PH:56
PA:47
SC:65
DF:69
Miles Wood
Miles Wood
AGE:31
SK:77
EN:74
DU:80
PH:56
PA:49
SC:62
DF:62
Kai Uchacz (R)
Kai Uchacz
AGE:23
SK:77
EN:77
DU:67
PH:56
PA:57
SC:54
DF:66
Ben McCartney
Ben McCartney
AGE:25
SK:81
EN:68
DU:58
PH:60
PA:62
SC:59
DF:70
Matyas Sapovaliv (R)
Matyas Sapovaliv
AGE:22
SK:75
EN:81
DU:71
PH:45
PA:39
SC:51
DF:51
Riley Duran
Riley Duran
AGE:24
SK:75
EN:81
DU:71
PH:36
PA:34
SC:38
DF:70
Connor Clattenburg (R)
Connor Clattenburg
AGE:21
SK:82
EN:60
DU:50
PH:30
PA:25
SC:35
DF:54
Josh Filmon (R)
Josh Filmon
AGE:22
SK:75
EN:60
DU:50
PH:33
PA:25
SC:41
DF:60
Auston Matthews
Auston Matthews
AGE:29
SK:88
EN:89
DU:84
PH:81
PA:76
SC:87
DF:89
Casey Mittelstadt
Casey Mittelstadt
AGE:28
SK:84
EN:80
DU:92
PH:69
PA:71
SC:67
DF:63
Stephen Halliday
Stephen Halliday
AGE:24
SK:77
EN:69
DU:64
PH:60
PA:59
SC:61
DF:65
Tristan Broz (R)
Tristan Broz
AGE:24
SK:87
EN:60
DU:50
PH:59
PA:60
SC:58
DF:70
Martin Pospisil
Martin Pospisil
AGE:27
SK:76
EN:72
DU:58
PH:51
PA:47
SC:54
DF:67
Parker Ford
Parker Ford
AGE:26
SK:77
EN:71
DU:53
PH:48
PA:45
SC:50
DF:75
Timo Meier
Timo Meier
AGE:30
SK:83
EN:86
DU:96
PH:68
PA:61
SC:76
DF:71
Yegor Chinakhov
Yegor Chinakhov
AGE:25
SK:84
EN:77
DU:92
PH:69
PA:64
SC:74
DF:65
Mike Amadio
Mike Amadio
AGE:30
SK:81
EN:82
DU:98
PH:63
PA:60
SC:65
DF:76
Conor Garland
Conor Garland
AGE:30
SK:86
EN:84
DU:92
PH:64
PA:64
SC:64
DF:74
Dominic Toninato
Dominic Toninato
AGE:32
SK:80
EN:61
DU:51
PH:59
PA:63
SC:55
DF:67
Patrick Giles (R)
Patrick Giles
AGE:26
SK:75
EN:76
DU:66
PH:40
PA:37
SC:42
DF:56
Oskar Pettersson
Oskar Pettersson
AGE:24
SK:75
EN:78
DU:68
PH:36
PA:31
SC:41
DF:54
Coulson Pitre (R)
Coulson Pitre
AGE:22
SK:75
EN:60
DU:50
PH:33
PA:30
SC:37
DF:58
James Stefan (R)
James Stefan
AGE:23
SK:75
EN:60
DU:50
PH:28
PA:20
SC:35
DF:50

Defense #1Defense #2Goalie
Morgan Rielly
Morgan Rielly
AGE:32
SK:82
EN:85
DU:96
PH:67
PA:66
SC:67
DF:74
Victor Hedman
Victor Hedman
AGE:36
SK:76
EN:81
DU:66
PH:67
PA:80
SC:54
DF:73
Luke Hughes
Luke Hughes
AGE:23
SK:83
EN:88
DU:89
PH:68
PA:75
SC:61
DF:73
Jordan Spence
Jordan Spence
AGE:25
SK:84
EN:81
DU:93
PH:64
PA:67
SC:62
DF:75
Lian Bichsel
Lian Bichsel
AGE:22
SK:75
EN:76
DU:77
PH:53
PA:47
SC:60
DF:72
Mason Lohrei
Mason Lohrei
AGE:25
SK:77
EN:78
DU:93
PH:62
PA:61
SC:62
DF:71
Ilya Lyubushkin
Ilya Lyubushkin
AGE:32
SK:75
EN:76
DU:79
PH:52
PA:52
SC:52
DF:73
Henri Jokiharju
Henri Jokiharju
AGE:27
SK:81
EN:79
DU:71
PH:61
PA:66
SC:56
DF:67
Olli Maatta
Olli Maatta
AGE:32
SK:79
EN:79
DU:72
PH:60
PA:65
SC:56
DF:69
Philip Kemp
Philip Kemp
AGE:27
SK:75
EN:74
DU:69
PH:32
PA:28
SC:35
DF:64
Montana Onyebuchi
Montana Onyebuchi
AGE:26
SK:75
EN:55
DU:50
PH:35
PA:37
SC:33
DF:50
Artem Grushnikov
Artem Grushnikov
AGE:23
SK:75
EN:59
DU:54
PH:27
PA:21
SC:32
DF:59
Artem Guryev
Artem Guryev
AGE:23
SK:75
EN:55
DU:50
PH:32
PA:25
SC:38
DF:50
Ukko-Pekka Luukkonen
Ukko-Pekka Luukkonen
AGE:27
SK:92
AG:89
RB:87
SC:89
HS:89
RT:89
DF:91
Anthony Stolarz
Anthony Stolarz
AGE:32
SK:90
AG:77
RB:78
SC:76
HS:80
RT:79
DF:78
Nikita Tolopilo (R)
Nikita Tolopilo
AGE:26
SK:77
AG:70
RB:72
SC:72
HS:70
RT:70
DF:72
Jiri Patera
Jiri Patera
AGE:27
SK:75
AG:60
RB:54
SC:54
HS:57
RT:58
DF:59
Isaac Poulter
Isaac Poulter
AGE:25
SK:88
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Prospects
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
Prospect Team NameDraft Year Overall Pick Information Lien
Alexis MathieuFlyers2039168
Anthony Allain-SamakeFlyers2039199
Ben KevanFlyers203987
Bill ZonnonFlyers203921
Cameron MacdonaldFlyers2035194
Evan JardineFlyers2040150
Evan NauseFlyers203554
Hoyt StanleyFlyers2037137
Jack NesbittFlyers203923
Jayden KurtzFlyers204058
Jett LuchankoFlyers203817
Kasper PikkarainenFlyers2038114
Ludvig LaftonFlyers2038207
Matous KucharcikFlyers2039137
Nikita ShcherbakovFlyers204051
Oleg KulebiakinFlyers204060
Oscar HemmingFlyers204021
Parker Von RichterFlyers2040137
Roberto HenriquezFlyers2040199
Sergei IvanovFlyers2036161
Vadim MorozFlyers2037106
Viktor NorringerFlyers2038145
Will SkahanFlyers203883

Draft Picks

Draft Picks
Year R1R2R3R4R5R6R7
2041
2042
2043



Flyers 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
1Auston Matthews5774284208481542756832246311513.74%2481413424.5011913425376715102597692053.76%201.201343
2Alexei Semenov1575249420669-115392124202925939.60%9532707117.1940671072916152169352349.89%20.491343
3Jason Spezza5802753886631021743611573221012.44%2001336523.04731432165201041460351455.78%90.992058
4Clayton Keller46018226945130621641033166410.94%116927420.1645921373923583422834.62%40.97528
5Kyle Okposo70317426343765271052925173610.02%1241394319.835111516644111226191640.07%20.631143

Flyers Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Cory Schneider20110771110.9092.89115572411557611901050.786103
2Logan Thompson1749558110.9043.051006116651253340700.80025
3Jaroslav Halak21089100110.8963.1211926161462159530730.83390
4Ben Bishop1266941100.9003.00725825536336170610.66724
5Chris Driedger1586767100.9043.178757246463483301410.69559

Flyers 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
201782303101776227245-1841151601234113119-641151500542114126-126922735358012069638722420718704796241083412411813257259.73%2644084.85%6933183050.98%1032196252.60%665130650.92%176996118018431586815
201882392604157266211554117140302513311221412212011321339934872664256910407376108252408398018572434776116720122184219.27%2333584.98%111007195751.46%1008196151.40%688134751.08%1799102616697441523772
201982372804382236206304117140226011710984120140212211997228523635959526059838222510640766819232879185617772323615.52%1772685.31%5986182654.00%979186752.44%575111351.66%174794916257691604823
202082283501567216243-2741152000114106121-1541131501453110122-1263216340556520636779230506847308632357839114817462224118.47%2374879.75%4997192351.85%921188648.83%616117552.43%168589216847871620821
2021824419023952832057841279010221519754411710013731321082495283486769311096948226520852907857214571095917104488017.86%4036982.88%31711313454.59%1423275551.65%684125754.42%2160153218245871018534
202282274101472206245-3941151901321110124-144112220015196121-2560206351557070757053229807907367542450702102618474156114.70%4198779.24%51536287953.35%1535294252.18%673123554.49%2057144018925961026517
202382422802442302257454120110134215612630412217011001461311592302527829120112879726840861862938241869491017294609721.09%4189377.75%31653304254.34%1508290351.95%697133052.41%2018140919246071019511
20248241320213331826058411919010111591293041221301122159131289631856288057011110993271109049108732560736930171347411223.63%3938279.13%31692311754.28%1520299750.72%670134249.93%2060145118866001010510
20258249230141430923673412610012111631164741231300203146120261103095508590301149697253707999068222459675979173245910923.75%4078778.62%61668306554.42%1505288552.17%720133154.09%2076144118446041029522
202682393300262272274-241192000020122134-1241201300242150140109427246874030010010165243508298117782647712111718114207818.57%4439877.88%51495290351.50%1486313547.40%629135546.42%1981138319716091009499
20278239350123228026713412116000311451301541181901201135137-29028050778703093114692357076781376826477481077197840210425.87%45110077.83%51210276943.70%1252312140.12%566135341.83%1982137119436031020510
20308234310201142502419412012020431331141941141900071117127-109825043568528082738225380831809867265479596518453958421.27%4368181.42%01534304650.36%1406313344.88%622125449.60%1955133220006221042518
203182353500057275277-241162100031131143-1241191400026144134108727547474933096918324860783852830275080889718753967919.95%4157881.20%31308292344.75%1388320443.32%604133445.28%1903129720506251026498
203282313901164263293-3041162000131122138-1641151901033141155-1481263457720010102817324440801828784285484295218643857419.22%3987381.66%21291289544.59%1451329244.08%606133045.56%1839123821086261028493
203382165700432225324-9941112600220127166-39415310021298158-6044225399624030886371217407286647692706799102418623946717.01%4519878.27%61295271147.77%1412306846.02%630134946.70%1862124320526261037509
203482244403065268306-3841122101043133154-2141122302022135152-177126844971713095867826380893826888293780787917603877419.12%3748078.61%21523297651.18%1598324049.32%715136752.30%1810122021276311040502
203582274403044230279-4941152003021111128-1741122400023119151-3272230400630130867463238907528287882751792100418533546117.23%4438281.49%41451279851.86%1567314849.78%695134851.56%1873126320456261046509
203682333504523307315-841181504301164159541152000222143156-13863075198260401119892280308929339482689787109218383998320.80%48011376.46%51690309554.60%1528295251.76%727140351.82%1968135919656061028505
2037824727013313162546241261200300154121334121150103116213329106316547863011151049352620870876859282599744101917473958421.27%4367981.88%41493291251.27%1580300352.61%716133053.83%1939132419776171032505
203882333504622250258-8412013024201361142241132202202114144-3086250439689029975709238579775080347260277797517663896717.22%4198779.24%51385269851.33%1546295252.37%642127350.43%1957135519796161024506
203982273505483263287-2441102002252139159-2041171503231124128-48726344470712104826417269492486585191262373085617224057117.53%3717978.71%41630304353.57%1588300052.93%678132851.05%2004138519506101033516
20406320010020164220000008444120010012120720385800114501917556591177527111720315.00%28389.29%09020444.12%10521349.30%5810654.72%13892148447538
Total Regular Season1728725715042601097755825499838633773480252852332833271711686534836701732574427492782-33176655829529151112877329189017581485523582666169101725815166541971615021144381177926153219.33%8096161880.01%91295785774651.22%293385961949.21%138762756650.34%405952697340473136062388711945
Playoff
201795400000212104220000089-153200000131211021345500064926606590103222811452132827.14%38684.21%011521753.00%11921655.09%6212848.44%196108197993217784
20181046000002530-5523000001216-4523000001314-182538630108107282075108962919211724934514.71%24675.00%014425656.25%12922657.08%8115153.64%2231251919118795
20195140000069-33030000048-4211000002112612180101321070184235121323095200.00%14378.57%0538463.10%5510055.00%345265.38%10351925111558
2021231490000070664128400000363061165000003436-2287012319303018252468202062292185821942644901092422.02%1152479.13%044884752.89%39376051.71%16834448.84%602428546168285145
2023514000001215-33120000089-12020000046-22122234000822177058556417046741223239.38%28582.14%111920857.21%10920553.17%428052.50%11377128375928
202451400000161513120000012932020000046-221629450009431430573749143336412425624.00%26676.92%19018748.13%9118150.28%357149.30%11780118386331
202518117000005056-61064000002833-5853000002223-12250921420001716154980148170165636171270397961717.71%1092180.73%030862649.20%40174753.68%14626754.68%460319422140233116
2026514000001724-72020000079-2312000001015-521730471008631410573746201677411525312.00%31970.97%18318445.11%11423348.93%509055.56%11275133406230
2027734000002224-23210000011101413000001114-3622386000058720405968472569011116830723.33%50982.00%011125044.40%13430144.52%3710734.58%179120199589646
2030734000001725-83210000079-2413000001016-6617304700055616304763512457211414231412.90%46980.43%09121043.33%12430840.26%5411945.38%156105185548337
2037404000001217-52020000068-22020000069-30122032005160121423940014447468521523.81%17664.71%07214350.35%8916553.94%296544.62%8860101315023
Total Playoff98445400000268302-3450242600000139150-1148202800000129152-23882684687361558689782784428299398743011925130922004337617.55%49810479.12%31634321250.87%1758344251.07%738147450.07%23541553410016431415699

Flyers 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
1Jason Spezza612137581153414217112.28%6131721.60415194102205054.37%00.8800
2Brad Stuart162213455211452131652667.89%81267816.532249000115052.76%00.4100
3Evgeni Malkin38142337-41855881429.86%390023.7049134020261148.47%10.8200
4Joe Thornton339223131334767611.84%964019.4048121900002154.51%10.9700
5Chris Pronger3351924-7333744529.62%5284325.553710260002100.00%00.5700

Flyers Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jaroslav Halak2414810.8842.83142003675780100.0000
2Ben Bishop2212910.9142.86132060637340100.0000
3Cory Schneider166630.9033.4697040565760000.0000
4Jaroslav Halak95220.9052.28552402122282000.0000
5Pekka Rinne155640.9052.569130239412165000.0000