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Game Center
Flyers
2-1-0, 4pts
3
FINAL
2 Blues
2-0-1, 5pts
Team Stats
W1StreakOTW1
0-1-0Home Record1-0-1
2-0-0Away Record1-0-0
2-1-0Last 10 Games2-0-1
4.00Goals Per Game3.00
2.33Goals Against Per Game2.67
26.32%Power Play Percentage11.11%
75.00%Penalty Kill Percentage100.00%
Flyers
2-1-0, 4pts
7
FINAL
2 Stars
2-1-0, 4pts
Team Stats
W1StreakL1
0-1-0Home Record1-1-0
2-0-0Away Record1-0-0
2-1-0Last 10 Games2-1-0
4.00Goals Per Game3.67
2.33Goals Against Per Game4.67
26.32%Power Play Percentage20.00%
75.00%Penalty Kill Percentage76.47%
Rangers
1-2-0, 2pts
Day 7
Flyers
2-1-0, 4pts
Team Stats
L1StreakW1
1-1-0Home Record0-1-0
0-1-0Away Record2-0-0
1-2-0Last 10 Games2-1-0
2.67Goals Per Game4.00
3.00Goals Against Per Game2.33
7.14%Power Play Percentage26.32%
90.00%Penalty Kill Percentage75.00%
Flyers
2-1-0, 4pts
Day 8
Hurricanes
3-0-0, 6pts
Team Stats
W1StreakW3
0-1-0Home Record1-0-0
2-0-0Away Record2-0-0
2-1-0Last 10 Games3-0-0
4.00Goals Per Game4.67
2.33Goals Against Per Game2.67
26.32%Power Play Percentage26.09%
75.00%Penalty Kill Percentage72.73%
MapleLeafs
1-1-1, 3pts
Day 11
Flyers
2-1-0, 4pts
Team Stats
L1StreakW1
1-1-0Home Record0-1-0
0-0-1Away Record2-0-0
1-1-1Last 10 Games2-1-0
4.00Goals Per Game4.00
3.67Goals Against Per Game2.33
15.38%Power Play Percentage26.32%
85.71%Penalty Kill Percentage75.00%
Team Leaders
Conor GarlandGoals
Conor Garland
2
Miro HeiskanenAssists
Miro Heiskanen
4
Auston MatthewsPoints
Auston Matthews
4
Conor GarlandPlus/Minus
Conor Garland
2
Logan ThompsonWins
Logan Thompson
2
Logan ThompsonSave Percentage
Logan Thompson
0.917

Team Stats
Goals For
12
4.00 GFG
Shots For
89
29.67 Avg
Power Play Percentage
26.3%
5 GF
Offensive Zone Start
42.2%
Goals Against
7
2.33 GAA
Shots Against
84
28.00 Avg
Penalty Kill Percentage
75.0%
4 GA
Defensive Zone Start
41.8%
Injury / Suspension
No Injury or Suspension.
Team Info
General ManagerSebastien Lessard
CoachCraig Berube
DivisionMetropolitan
ConferenceEastern
CaptainAuston Matthews
Assistant #1Dylan Strome
Assistant #2Miro Heiskanen
Uniforms
Arena Info
NamePhiladelphia Coliseum
Capacity25,000
Attendance15,283
Season Tickets10,000
Roster Info
Pro Team22
Farm Team27
Contract Limit49 / 50
Prospects14
Salary Cap
Estimated Season Salary Cap83,040,026$
Available Salary Cap6,959,974$
Special Salary Cap Value0$
Players In Salary Cap22
Finance
Year to Date Revenue1,721,000$
Year To Date Expenses2,473,035$
Estimated Season Revenue68,840,000$
Estimated Season Expenses85,567,011$
Current Bank Account263,869,490$
Projected Bank Account244,819,179$
Team History
This Season2-1-0 (4PTS)
History835-679-111 (0.514%)
Playoff Appearances11
Playoff Record (W-L)44-54
Stanley Cup0


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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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)X97.0056568494768989939295909475788455248302871$
2Aliaksei ProtasX100.0046668584978295814079828940707675247702415,500,000$
3Dylan Strome (A)X100.0047508292658499868993796759788155247702877,250,000$
4Conor GarlandX98.0054437789408698704071697479808350247002915,000,000$
5J.T. CompherX100.0049468482568295628063627340828245246703036,100,000$
6Max DomiX100.0050606983627994638568596555828145226703015,000,000$
7Mike AmadioX100.0075498580637892608658637540807950246702922,100,000$
8Eric RobinsonX100.0075538879717599614058646640827945246703033,000,000$
9Jonny BrodzinskiX100.005251888067747860835169664086803524650321800,000$
10Martin PospisilX100.0099546980527798587661546740747665246502611,440,000$
11Matias MaccelliX100.0043448781527781584055626040727570246202556,000,000$
12Miles WoodX100.0070606476637468544049596140827845246103022,500,000$
13Martin FehervaryX100.0080548478678298594060588740747865247302622,900,000$
14Miro Heiskanen (A)X100.0048508683649277684073628460748365247202617,900,000$
15Alexandre CarrierX100.0062418083468497594063558140808250247002923,800,000$
16Ilya LyubushkinX100.0065508275657998524053527740848240246903123,500,000$
17J.J. MoserX100.0055468278568180564058558640727770246902564,000,000$
18Zach WhitecloudX100.0077558075707994534050577340808050246902933,500,000$
Scratches
1Henri JokiharjuX100.0060488577617984534050567440747765206602611,850,000$
2Brendan SmithX100.0070696976657265534053546740948315206503612,000,000$
Farm Team
1Glenn GawdinX100.006456748064817160406160709978805518650281700,000$
2Riley TufteX100.006159697588675755405060709076726018620271700,000$
3Mackenzie MacEachernX100.007249637863605058406155704084724018610311650,000$
4Ross JohnstonX100.009980577587697249404652634084774018610311725,000$
5Marat KhusnutdinovX100.005741857947759452794855674068728018600232925,000$
6Liam O'BrienX100.009985547571706248404650644084774016590311650,000$
7Sheldon DriesX100.007150797845746450703962664084794018590311650,000$
8Stephen HallidayX100.005944767575807054705752507368748020590232925,000$
9Patrick Giles (R)X100.006958907580705547694055624072717018580253850,000$
10Kai Uchacz (R)X100.007360688468776743403848524066728518560222950,000$
11Parker Ford (R)X100.005549729150605046403458674072667018560253950,000$
12Calle RosenX100.004846827656666151405250704084754018610311700,000$
13Cam DineenX100.005544838154635858406749614076706018610271700,000$
14Montana OnyebuchiX100.007986557577686332402936664072707018600251632,500$
15Philip KempX100.008261767573605536402745654074676518590261632,500$
16Nick CicekX100.008164687567555036403537634072647018580251632,500$
17Artem GuryevX100.007570387579555032402538604066618518560222925,000$
18Emmitt Finnie (R)X100.006445908659605046705338564062619520550203950,000$
19Matyas Sapovaliv (R)X100.007654848071807036402943509964729020540213925,000$
20Oskar PetterssonX100.005239827570766634402741594068728020520232925,000$
21Coulson Pitre (R)X100.006146848656706036403734534064679020520213925,000$
22James Stefan (R)X100.005944868754605028402035504066638520470222950,000$
23Josh Filmon (R)X100.004838878843605025402030574064629020460212950,000$
24Artem GrushnikovX100.005850827563656029402532504066668520530222925,000$
TEAM AVERAGE99.89655477806473745251515467477575622163
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
1Logan Thompson99.008682889583858487868597788255258302845,900,000$
2Philipp Grubauer100.008562628560565760616090907325256503423,000,000$
Scratches
Farm Team
1Nikita Tolopilo (R)100.00756466995052525050529172627019600253950,000$
2Isaac Poulter100.00886467855050505050505070607519580241800,000$
3Jiri Patera100.00755060955050505050506074626520580261700,000$
TEAM AVERAGE99.8082646992595959595959787768582265
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Craig Berube92929385957750CAN6045,000,000$


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 MatthewsFlyersC3134220914198125.26%27525.311016140000170059.84%12200001.0511000010
2J.T. CompherFlyersRW31341202381512.50%06321.021342160000700100.00%300001.2700000000
3Miro HeiskanenFlyersD3044000063160.00%37525.22022316000012000.00%000001.0601000000
4Aliaksei ProtasFlyersLW312322026142147.14%35819.380113130000010100.00%100001.0300000001
5Conor GarlandFlyersRW32132006662533.33%07023.580110140000170020.00%500000.8501000100
6Martin FehervaryFlyersD312301009471514.29%67424.8411241600009000.00%000000.8100000000
7Dylan StromeFlyersC31122200852520.00%14214.0500000000000057.41%5400000.9500000100
8Max DomiFlyersLW31120954322250.00%05618.77112114000010047.83%2300000.7100010000
9Alexandre CarrierFlyersD3011200240010.00%56120.5300000000012000.00%000000.3200000000
10Jonny BrodzinskiFlyersC310110003123100.00%0186.1300000000000081.25%1600001.0900000000
11Eric RobinsonFlyersRW3011-120410130.00%04013.4401101600000000.00%300000.5000000000
12J.J. MoserFlyersD31011001271514.29%15919.97000213000015000.00%000000.3300000001
13Zach WhitecloudFlyersD31011405231433.33%24715.9610121400005000.00%000000.4200000000
14Matias MaccelliFlyersLW3011100001130.00%0206.7300002000000050.00%200000.9900000000
15Mike AmadioFlyersC3000-100236020.00%13110.5300000000180053.06%4900000.0000000000
16Miles WoodFlyersRW3000120504100.00%0165.600000000000000.00%100000.0000000000
17Martin PospisilFlyersRW3000-120420030.00%0248.03000000000000100.00%100000.0000000000
18Ilya LyubushkinFlyersD3000220323010.00%34515.110000000000000.00%000000.0000000000
Team Total or Average5411203115395586989267912.36%2788216.35510152315200011101057.50%28000000.7013010212
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
1Logan ThompsonFlyers32100.9172.28184207840001.000330000
Team Total or Average32100.9172.28184207840001.000330000


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 2039 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2040 204120422043204420452046Salary Year 9Salary Year 10Link
Alexandre CarrierFlyersD291996-10-08No174 Lbs5 ft11NoNoYes2Pro & Farm3,800,000$3,800,000$3,693,258$No3,800,000$
UFA
Link / NHL Link
Aliaksei ProtasFlyersLW242001-01-06No247 Lbs6 ft6NoNoYes1Pro Only5,500,000$5,500,000$5,345,506$No
RFA
Link / NHL Link
Auston MatthewsFlyersC281997-09-17No217 Lbs6 ft3YesNoYes7Pro Only1$1$1$No12,500,000$12,500,000$12,500,000$12,500,000$12,500,000$12,500,000$
UFA
Link / NHL Link
Brendan SmithFlyersD361989-02-08No200 Lbs6 ft2YesNoNo1Pro & Farm2,000,000$2,000,000$1,943,820$No
UFA
Link / NHL Link
Conor GarlandFlyersRW291996-03-11No165 Lbs5 ft10NoNoYes1Pro Only5,000,000$5,000,000$4,859,551$No
UFA
Link / NHL Link
Dylan StromeFlyersC281997-03-07No196 Lbs6 ft3NoNoYes7Pro Only7,250,000$7,250,000$7,046,348$No7,250,000$7,250,000$7,250,000$7,250,000$7,250,000$7,250,000$
UFA
Link / NHL Link
Eric RobinsonFlyersRW301995-06-14No211 Lbs6 ft2NoNoYes3Pro & Farm3,000,000$3,000,000$2,915,730$No3,000,000$3,000,000$
UFA
Link / NHL Link
Henri JokiharjuFlyersD261999-06-17No200 Lbs6 ft0NoNoNo1Pro & Farm1,850,000$1,850,000$1,798,034$No
RFA
Link / NHL Link
Ilya LyubushkinFlyersD311994-04-06No200 Lbs6 ft2NoNoYes2Pro & Farm3,500,000$3,500,000$3,401,685$No3,500,000$
UFA
Link / NHL Link
J.J. MoserFlyersD252000-06-06No181 Lbs6 ft2NoNoYes6Pro & Farm4,000,000$4,000,000$3,887,640$No4,000,000$4,000,000$4,000,000$4,000,000$4,000,000$
UFA
Link / NHL Link
J.T. CompherFlyersRW301995-04-08No190 Lbs6 ft0NoNoYes3Pro Only6,100,000$6,100,000$5,928,652$No6,100,000$6,100,000$
UFA
Link / NHL Link
Jonny BrodzinskiFlyersC321993-06-19No211 Lbs6 ft0NoNoNo1Pro & Farm800,000$800,000$777,528$No
UFA
Link / NHL Link
Logan ThompsonFlyersG281997-02-25No212 Lbs6 ft4NoNoYes4Pro Only5,900,000$5,900,000$5,734,270$No5,900,000$5,900,000$5,900,000$
UFA
Link / NHL Link
Martin FehervaryFlyersD261999-10-06No203 Lbs6 ft2NoNoYes2Pro & Farm2,900,000$2,900,000$2,818,539$No2,900,000$
UFA
Link / NHL Link
Martin PospisilFlyersRW261999-11-19No173 Lbs6 ft2NoNoNo1Pro & Farm1,440,000$1,440,000$1,399,551$No
RFA
Link / NHL Link
Matias MaccelliFlyersLW252000-10-14No185 Lbs5 ft11NoNoYes5Pro Only6,000,000$6,000,000$5,831,461$No6,000,000$6,000,000$6,000,000$6,000,000$
UFA
Link / NHL Link
Max DomiFlyersLW301995-03-02No209 Lbs5 ft10NoNoYes1Pro Only5,000,000$5,000,000$4,859,551$No
UFA
Link / NHL Link
Mike AmadioFlyersC291996-05-13No199 Lbs6 ft1NoNoYes2Pro & Farm2,100,000$2,100,000$2,041,011$No2,100,000$
UFA
Link / NHL Link
Miles WoodFlyersRW301995-09-13No195 Lbs6 ft2NoNoYes2Pro & Farm2,500,000$2,500,000$2,429,775$No2,500,000$
UFA
Link / NHL Link
Miro HeiskanenFlyersD261999-07-18No197 Lbs6 ft2NoNoYes1Pro Only7,900,000$7,900,000$7,678,090$No
RFA
Link / NHL Link
Philipp GrubauerFlyersG341991-11-25No180 Lbs6 ft0NoNoYes2Pro & Farm3,000,000$3,000,000$2,915,730$No3,000,000$
UFA
Link / NHL Link
Zach WhitecloudFlyersD291996-11-28No210 Lbs6 ft2NoNoYes3Pro & Farm3,500,000$3,500,000$3,401,685$No3,500,000$3,500,000$
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2228.68198 Lbs6 ft12.643,774,546$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
83,040,001$66,050,000$48,250,000$35,650,000$29,750,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Aliaksei ProtasAuston MatthewsConor Garland36113
2Max DomiDylan StromeJ.T. Compher34113
3Martin PospisilMike AmadioEric Robinson20122
4Matias MaccelliJonny BrodzinskiMiles Wood10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Martin FehervaryMiro Heiskanen40023
2Alexandre CarrierIlya Lyubushkin35122
3J.J. MoserZach Whitecloud25122
4Martin FehervaryMiro Heiskanen0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Aliaksei ProtasAuston MatthewsConor Garland60113
2J.T. CompherMax DomiEric Robinson40113
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Martin FehervaryMiro Heiskanen60122
2J.J. MoserZach Whitecloud40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Auston MatthewsConor Garland60122
2Mike AmadioJ.T. Compher40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Martin FehervaryJ.J. Moser60122
2Miro HeiskanenAlexandre Carrier40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Auston Matthews60131Martin FehervaryJ.J. Moser60131
2Mike Amadio40131Miro HeiskanenAlexandre Carrier40131
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Auston MatthewsAliaksei Protas60023
2Dylan StromeConor Garland40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Martin FehervaryMiro Heiskanen60122
2Alexandre CarrierJ.J. Moser40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Conor GarlandAuston MatthewsAliaksei ProtasMartin FehervaryMiro Heiskanen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Conor GarlandAuston MatthewsAliaksei ProtasMartin FehervaryMiro Heiskanen
Extra Forwards
Normal PowerPlayPenalty Kill
Eric Robinson, Martin Pospisil, Jonny BrodzinskiMatias Maccelli, Max DomiMax Domi
Extra Defensemen
Normal PowerPlayPenalty Kill
Ilya Lyubushkin, Martin Fehervary, Zach WhitecloudMartin FehervaryZach Whitecloud, Martin Fehervary
Penalty Shots
Conor Garland, Auston Matthews, Miro Heiskanen, Dylan Strome, Max Domi
Goalie
#1 : Logan Thompson, #2 : Philipp Grubauer


Filter Tips
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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
1Blues10000010321000000000001000001032121.00033600011135991281613715800.00%000.00%06611656.90%6811559.13%274461.36%3020207137
2Hurricanes1010000023-11010000023-10000000000000.0002460020002610511037720234250.00%9277.78%06611656.90%6811559.13%274461.36%2214268115
3Stars11000000725000000000001100000072521.00071320001510286166031714207342.86%7271.43%06611656.90%6811559.13%274461.36%2214248125
Total3110001012751010000023-121000010104640.6671220320036218925302988427415819526.32%16475.00%06611656.90%6811559.13%274461.36%754971243719
_Since Last GM Reset3110001012751010000023-121000010104640.6671220320036218925302988427415819526.32%16475.00%06611656.90%6811559.13%274461.36%754971243719
_Vs Conference1010000023-11010000023-10000000000000.0002460020002610511037720234250.00%9277.78%06611656.90%6811559.13%274461.36%2214268115
_Vs Division1010000023-11010000023-10000000000000.0002460020002610511037720234250.00%9277.78%06611656.90%6811559.13%274461.36%2214268115

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
34W1122032898427415800
All Games
GPWLOTWOTL SOWSOLGFGA
3110010127
Home Games
GPWLOTWOTL SOWSOLGFGA
101000023
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2100010104
Last 10 Games
WLOTWOTL SOWSOL
110010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
19526.32%16475.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
25302983621
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
6611656.90%6811559.13%274461.36%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
754971243719


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
111Hurricanes3Flyers2BLBoxScore
327Flyers3Blues2AWXXBoxScore
538Flyers7Stars2AWBoxScore
755Rangers-Flyers-
859Flyers-Hurricanes-
1187MapleLeafs-Flyers-
14108Flyers-Capitals-
15117Islanders-Flyers-
17127Flyers-Blackhawks-
19149Canadiens-Flyers-
21160Flyers-Penguins-
23178Flyers-MapleLeafs-
24187Capitals-Flyers-
27206Senators-Flyers-
29220Flyers-Islanders-
32241Capitals-Flyers-
35260Flyers-Islanders-
37277Flyers-Devils-
38284Flyers-BlueJackets-
40300Sabres-Flyers-
43324Penguins-Flyers-
45336Flyers-Canadiens-
47355Lightning-Flyers-
49364Flyers-RedWings-
50375RedWings-Flyers-
54403Flyers-Wild-
55410Penguins-Flyers-
57429Ducks-Flyers-
59447Kings-Flyers-
62466Canucks-Flyers-
64480Oilers-Flyers-
66492Flyers-Bruins-
68499Flyers-Rangers-
69500Jets-Flyers-
74527Flyers-Canadiens-
77550Bruins-Flyers-
79565Wild-Flyers-
81581Flyers-Devils-
83597Stars-Flyers-
85615Flyers-Capitals-
86618Blues-Flyers-
88633Flames-Flyers-
90649Hurricanes-Flyers-
92659Flyers-Predators-
93663Flyers-Hurricanes-
95681Flyers-Panthers-
97702Flyers-Lightning-
98710Flyers-Rangers-
99723BlueJackets-Flyers-
101737Predators-Flyers-
103754RedWings-Flyers-
106776Flyers-Canucks-
107781Flyers-Oilers-
109795Flyers-Flames-
112818Flyers-Jets-
113821Flyers-Sabres-
115838BlueJackets-Flyers-
120876Flyers-Penguins-
124902Senators-Flyers-
127924Flyers-MapleLeafs-
128935Rangers-Flyers-
129943Flyers-Sabres-
133978Lightning-Flyers-
135993Devils-Flyers-
1371007Panthers-Flyers-
1401028Blackhawks-Flyers-
1421044Mammoth-Flyers-
1451058Flyers-Mammoth-
1471074Flyers-Sharks-
1491086Flyers-Kings-
1511095Flyers-Ducks-
1541121Islanders-Flyers-
1561130Flyers-Bruins-
1591152Avalanche-Flyers-
1611165Devils-Flyers-
1631174Flyers-BlueJackets-
1651190Panthers-Flyers-
1681213GoldenKnights-Flyers-
Trade Deadline --- Trades can’t be done after this day is simulated!
1701229Flyers-Senators-
1711235Sharks-Flyers-
1741247Flyers-Avalanche-
1761267Flyers-GoldenKnights-


Depth Chart
Left WingCenterRight Wing
Aliaksei Protas
Aliaksei Protas
AGE:24
SK:84
EN:82
DU:95
PH:81
PA:79
SC:82
DF:89
Max Domi
Max Domi
AGE:30
SK:83
EN:79
DU:94
PH:63
PA:68
SC:59
DF:65
Matias Maccelli
Matias Maccelli
AGE:25
SK:81
EN:77
DU:81
PH:58
PA:55
SC:62
DF:60
Riley Tufte
Riley Tufte
AGE:27
SK:75
EN:67
DU:57
PH:55
PA:50
SC:60
DF:70
Mackenzie MacEachern
Mackenzie MacEachern
AGE:31
SK:78
EN:60
DU:50
PH:58
PA:61
SC:55
DF:70
Kai Uchacz (R)
Kai Uchacz
AGE:22
SK:84
EN:77
DU:67
PH:43
PA:38
SC:48
DF:52
Matyas Sapovaliv (R)
Matyas Sapovaliv
AGE:21
SK:80
EN:80
DU:70
PH:36
PA:29
SC:43
DF:50
Josh Filmon (R)
Josh Filmon
AGE:21
SK:88
EN:60
DU:50
PH:25
PA:20
SC:30
DF:57
Auston Matthews
Auston Matthews
AGE:28
SK:94
EN:89
DU:89
PH:93
PA:95
SC:90
DF:94
Dylan Strome
Dylan Strome
AGE:28
SK:92
EN:84
DU:99
PH:86
PA:93
SC:79
DF:67
Mike Amadio
Mike Amadio
AGE:29
SK:80
EN:78
DU:92
PH:60
PA:58
SC:63
DF:75
Glenn Gawdin
Glenn Gawdin
AGE:28
SK:80
EN:81
DU:71
PH:60
PA:61
SC:60
DF:70
Jonny Brodzinski
Jonny Brodzinski
AGE:32
SK:80
EN:74
DU:78
PH:60
PA:51
SC:69
DF:66
Marat Khusnutdinov
Marat Khusnutdinov
AGE:23
SK:79
EN:75
DU:94
PH:52
PA:48
SC:55
DF:67
Stephen Halliday
Stephen Halliday
AGE:23
SK:75
EN:80
DU:70
PH:54
PA:57
SC:52
DF:50
Liam O'Brien
Liam O'Brien
AGE:31
SK:75
EN:70
DU:62
PH:48
PA:46
SC:50
DF:64
Sheldon Dries
Sheldon Dries
AGE:31
SK:78
EN:74
DU:64
PH:50
PA:39
SC:62
DF:66
Emmitt Finnie (R)
Emmitt Finnie
AGE:20
SK:86
EN:60
DU:50
PH:46
PA:53
SC:38
DF:56
Conor Garland
Conor Garland
AGE:29
SK:89
EN:86
DU:98
PH:70
PA:71
SC:69
DF:74
J.T. Compher
J.T. Compher
AGE:30
SK:82
EN:82
DU:95
PH:62
PA:63
SC:62
DF:73
Eric Robinson
Eric Robinson
AGE:30
SK:79
EN:75
DU:99
PH:61
PA:58
SC:64
DF:66
Martin Pospisil
Martin Pospisil
AGE:26
SK:80
EN:77
DU:98
PH:58
PA:61
SC:54
DF:67
Miles Wood
Miles Wood
AGE:30
SK:76
EN:74
DU:68
PH:54
PA:49
SC:59
DF:61
Ross Johnston
Ross Johnston
AGE:31
SK:75
EN:69
DU:72
PH:49
PA:46
SC:52
DF:63
Patrick Giles (R)
Patrick Giles
AGE:25
SK:75
EN:70
DU:55
PH:47
PA:40
SC:55
DF:62
Parker Ford (R)
Parker Ford
AGE:25
SK:91
EN:60
DU:50
PH:46
PA:34
SC:58
DF:67
Coulson Pitre (R)
Coulson Pitre
AGE:21
SK:86
EN:70
DU:60
PH:36
PA:37
SC:34
DF:53
Oskar Pettersson
Oskar Pettersson
AGE:23
SK:75
EN:76
DU:66
PH:34
PA:27
SC:41
DF:59
James Stefan (R)
James Stefan
AGE:22
SK:87
EN:60
DU:50
PH:28
PA:20
SC:35
DF:50

Defense #1Defense #2Goalie
Martin Fehervary
Martin Fehervary
AGE:26
SK:78
EN:82
DU:98
PH:59
PA:60
SC:58
DF:87
Miro Heiskanen
Miro Heiskanen
AGE:26
SK:83
EN:92
DU:77
PH:68
PA:73
SC:62
DF:84
Alexandre Carrier
Alexandre Carrier
AGE:29
SK:83
EN:84
DU:97
PH:59
PA:63
SC:55
DF:81
J.J. Moser
J.J. Moser
AGE:25
SK:78
EN:81
DU:80
PH:56
PA:58
SC:55
DF:86
Zach Whitecloud
Zach Whitecloud
AGE:29
SK:75
EN:79
DU:94
PH:53
PA:50
SC:57
DF:73
Ilya Lyubushkin
Ilya Lyubushkin
AGE:31
SK:75
EN:79
DU:98
PH:52
PA:53
SC:52
DF:77
Henri Jokiharju
Henri Jokiharju
AGE:26
SK:77
EN:79
DU:84
PH:53
PA:50
SC:56
DF:74
Brendan Smith
Brendan Smith
AGE:36
SK:76
EN:72
DU:65
PH:53
PA:53
SC:54
DF:67
Cam Dineen
Cam Dineen
AGE:27
SK:81
EN:63
DU:58
PH:58
PA:67
SC:49
DF:61
Calle Rosen
Calle Rosen
AGE:31
SK:76
EN:66
DU:61
PH:51
PA:52
SC:50
DF:70
Montana Onyebuchi
Montana Onyebuchi
AGE:25
SK:75
EN:68
DU:63
PH:32
PA:29
SC:36
DF:66
Philip Kemp
Philip Kemp
AGE:26
SK:75
EN:60
DU:55
PH:36
PA:27
SC:45
DF:65
Nick Cicek
Nick Cicek
AGE:25
SK:75
EN:55
DU:50
PH:36
PA:35
SC:37
DF:63
Artem Guryev
Artem Guryev
AGE:22
SK:75
EN:55
DU:50
PH:32
PA:25
SC:38
DF:60
Artem Grushnikov
Artem Grushnikov
AGE:22
SK:75
EN:65
DU:60
PH:29
PA:25
SC:32
DF:50
Logan Thompson
Logan Thompson
AGE:28
SK:86
AG:83
RB:85
SC:84
HS:87
RT:86
DF:85
Philipp Grubauer
Philipp Grubauer
AGE:34
SK:85
AG:60
RB:56
SC:57
HS:60
RT:61
DF:60
Nikita Tolopilo (R)
Nikita Tolopilo
AGE:25
SK:75
AG:50
RB:52
SC:52
HS:50
RT:50
DF:52
Isaac Poulter
Isaac Poulter
AGE:24
SK:88
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Jiri Patera
Jiri Patera
AGE:26
SK:75
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
Cameron MacdonaldFlyers2035194
Connor ClattenburgFlyers2038176
Hoyt StanleyFlyers2037137
Jack NesbittFlyers203923
Kasper PikkarainenFlyers2038114
Ludvig LaftonFlyers2038207
Matous KucharcikFlyers2039137
Sergei IvanovFlyers2036161
Vadim MorozFlyers2037106
Viktor NorringerFlyers2038145
Will SkahanFlyers203883

Draft Picks

Draft Picks
Year R1R2R3R4R5R6R7
2040
2041
2042



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 Matthews4973623577191062395871953264913.67%2111220524.561051072126591292178611553.37%161.181337
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 Thompson1779759110.9043.041024518651954180700.82128
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
20393110001012751010000023-121000010104641220320036218925302988427415819526.32%16475.00%06611656.90%6811559.13%274461.36%754971243719
Total Regular Season16436966790375510274531152031088213653290232647312688255713182233135001429554326232646-23167653119067143782775217181016911469495621692160191637715082514811539520258363367520146319.45%7713154080.03%87279245461551.13%277135652149.03%131672617650.30%385282554438446129762281611409
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