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Game Center
Canadiens
33-35-6, 72pts
2
FINAL
0 Flyers
36-30-8, 80pts
Team Stats
W2StreakW1
15-18-4Home Record23-10-4
18-17-2Away Record13-20-4
7-3-0Last 10 Games4-5-1
3.11Goals Per Game3.18
3.30Goals Against Per Game3.19
20.11%Power Play Percentage17.82%
81.01%Penalty Kill Percentage78.36%
Flyers
36-30-8, 80pts
5
FINAL
3 Blackhawks
20-48-5, 45pts
Team Stats
W1StreakL1
23-10-4Home Record13-22-2
13-20-4Away Record7-26-3
4-5-1Last 10 Games4-4-2
3.18Goals Per Game2.68
3.19Goals Against Per Game4.23
17.82%Power Play Percentage16.86%
78.36%Penalty Kill Percentage76.09%
Islanders
44-27-3, 91pts
Day 163
Flyers
36-30-8, 80pts
Team Stats
L1StreakW1
26-10-2Home Record23-10-4
18-17-1Away Record13-20-4
6-4-0Last 10 Games4-5-1
3.88Goals Per Game3.18
3.05Goals Against Per Game3.19
23.88%Power Play Percentage17.82%
80.19%Penalty Kill Percentage78.36%
Flyers
36-30-8, 80pts
Day 164
Capitals
26-41-7, 59pts
Team Stats
W1StreakSOL1
23-10-4Home Record16-17-3
13-20-4Away Record10-24-4
4-5-1Last 10 Games2-6-2
3.18Goals Per Game2.92
3.19Goals Against Per Game3.66
17.82%Power Play Percentage16.43%
78.36%Penalty Kill Percentage77.08%
MapleLeafs
38-31-5, 81pts
Day 167
Flyers
36-30-8, 80pts
Team Stats
OTW1StreakW1
19-15-3Home Record23-10-4
19-16-2Away Record13-20-4
8-1-1Last 10 Games4-5-1
2.99Goals Per Game3.18
3.09Goals Against Per Game3.19
16.07%Power Play Percentage17.82%
82.40%Penalty Kill Percentage78.36%
Team Leaders
Auston MatthewsGoals
Auston Matthews
47
Miro HeiskanenAssists
Miro Heiskanen
52
Auston MatthewsPoints
Auston Matthews
87
Zach WhitecloudPlus/Minus
Zach Whitecloud
20
Logan ThompsonWins
Logan Thompson
33
Chris DriedgerSave Percentage
Chris Driedger
0.907

Team Stats
Goals For
235
3.18 GFG
Shots For
2184
29.51 Avg
Power Play Percentage
17.8%
62 GF
Offensive Zone Start
39.1%
Goals Against
236
3.19 GAA
Shots Against
2334
31.54 Avg
Penalty Kill Percentage
78.4%
82 GA
Defensive Zone Start
42.4%
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
Attendance15,615
Season Tickets10,000
Roster Info
Pro Team22
Farm Team28
Contract Limit50 / 50
Prospects11
Salary Cap
Estimated Season Salary Cap60,738,104$
Available Salary Cap24,261,896$
Special Salary Cap Value0$
Players In Salary Cap22
Finance
Year to Date Revenue65,236,625$
Year To Date Expenses59,315,426$
Estimated Season Revenue7,052,608$
Estimated Season Expenses6,422,592$
Current Bank Account264,152,735$
Projected Bank Account264,588,613$
Team History
This Season36-30-8 (80PTS)
History830-673-111 (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
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 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)X99.0066558597758998998978999475788455358402781$
2Dylan Strome (A)X100.0043518588678499798880777558788155347502714,000,000$
3Drake BathersonX100.0068528087698599787678786879768160227502646,000,000$
4Conor GarlandX99.0055408189407999694067707682808050367002825,000,000$
5Matias MaccelliX100.0047418890478299744080676240727770207002466,000,000$
6Max DomiX100.0056636186617798698579596455828045416902925,000,000$
7Brandon TanevX100.0093617579567988554051598840908525456703313,000,000$
8Aliaksei ProtasX100.0050618875867796607564567940707475356702311,500,000$
9Mike AmadioX100.0055498680637793608755667040807950426602832,100,000$
10Miles WoodX100.0074527079637794594059607540828045146602932,500,000$
11Martin PospisilX100.0099535581527686614061607440747565326602511,250,000$
12Jonny BrodzinskiX100.005449878063738259855959654086803536640312800,000$
13Miro Heiskanen (A)X100.0058508089649192794092667960748365517602516,000,000$
14Brendan SmithX100.0084607177657786564053607940948615387103522,000,000$
15Martin FehervaryX100.0099508377658288564056567740747865317102532,900,000$
16J.J. MoserX100.0069458182508498604062587940727870447102474,000,000$
17Zach WhitecloudX100.0090558075747985554056547840808050357102843,500,000$
18Ilya LyubushkinX100.0096537575657894494049507940848140347003033,500,000$
Scratches
1Sheldon DriesX100.007150748545645464705470704084744023640302650,000$
2Luke SchennX100.009973767578758650404852714094851519700351850,000$
Farm Team
1Liam O'BrienX100.009982497670719453405055644084784034630302650,000$
2Eric StaalX100.00495183796760506281575667629980035620401850,000$
3Brendan GaunceX100.008856857577746052894757684084794035620301575,000$
4Nicolas DeslauriersX100.009986607572688448404451634090792536610331850,000$
5Ross JohnstonX100.008888567588698947404451644084774035610302725,000$
6Marat Khusnutdinov (R)X100.006341838047775455835555714068738033610223925,000$
7Brock McGinnX100.0076458776557360504047536690847940436003011,100,000$
8Josh LeivoX100.006552807961605058404950647386733534590311575,000$
9Cameron HebigX100.005547797650706047704746704078745534570271770,000$
10Mackenzie MacEachernX100.007249827570605048405144574084724034560302650,000$
11Stephen Halliday (R)X100.005944868174605046706130564068648020550223925,000$
12Henri JokiharjuX100.0069488479618194574059557640747865356902511,578,000$
13Chad RuhwedelX100.008145887655717949404552724092822035660341850,000$
14Connor CarrickX100.006363717655746948404946704084794038630301575,000$
15Philip KempX100.008261737573686335403734704074716535620251575,000$
16Nick CicekX100.008164687567716636403537634072727022600241575,000$
17Montana OnyebuchiX100.007986317577555033403235694072647022590241575,000$
18Craig SmithX100.005653817865729456405062676494831513630351850,000$
19Jackson CatesX100.004946857556716142403946614078755517540271700,000$
20Oskar Pettersson (R)X100.005239878364605035403138594064629020510203925,000$
21Ostap SafinX100.008372837576605033402936504074676519500251770,000$
22Artem Grushnikov (R)X100.005850788265686329402632644066678520570213925,000$
23Artem Guryev (R)X100.007570387879555032402538604066618520560213925,000$
24Olli JuoleviX100.0058467875565550414048335040766660205402611,000,000$
25Artyom SerikovX100.005850817565555034403236504072647020530241575,000$
TEAM AVERAGE99.96715576796472765452535369477976523164
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 Thompson100.008686919476797979787797787955388002714,000,000$
2Chris Driedger100.008068729564636366636599847440507003011,500,000$
Scratches
Farm Team
1Louis Domingue100.00765460935660595659588588743035640321850,000$
2Arvid Holm100.00755060965050505050509976636042580261575,000$
3Veini Vehvilainen100.00765060825050505050504078645520570271850,000$
TEAM AVERAGE100.0079626992596060606060848171483766
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Craig Berube73877695897752CAN5955,000,000$


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 MatthewsFlyersC74474087149513529535811626713.13%37175323.6915112689305123113727453.30%259300020.99340011136
2Dylan StromeFlyersRW7421416208017105219631559.59%14141519.13317204630410131285152.84%35200010.8800000443
3Conor GarlandFlyersRW7325366115160611221896814513.23%14144719.83811195525410162093333.00%10000000.8414000631
4Miro HeiskanenFlyersD7385260-91607614313539955.93%111189525.9761723983081123313100.00%000000.6300000152
5Drake BathersonFlyersLW73282957-64601091072104613313.33%3140719.27121022603080001404052.39%52300010.8114000343
6Matias MaccelliFlyersLW75243357-1420111321993413812.06%12158821.19313163625820233151032.30%29100000.7202000132
7Miles WoodFlyersLW58192140-35555114115133379414.29%30125021.55510153419800041714026.92%39000000.6412001220
8J.J. MoserFlyersD7483038-67601336410926607.34%141170022.9831215612550113262120.00%000000.4500000023
9Max DomiFlyersC741027377833510010394287010.64%8106214.35066557000070053.11%54600000.7000214011
10Brendan SmithFlyersD7311243598801684590246312.22%78160622.00369352970114276100.00%000000.4400000102
11Sheldon DriesFlyersC6571825012071869536757.37%474611.49461034222000002045.28%58300000.6700000121
12Mike AmadioFlyersC74101222540147110128579.90%77079.561123540002232052.77%54200000.6200000010
13Zach WhitecloudFlyersD744162020815124396420566.25%75135218.28156332520000122010.00%000000.3000001000
14Ilya LyubushkinFlyersD7451419121040169504683010.87%92126617.11000171012248200.00%000000.3000000121
15Martin PospisilFlyersRW65214160480150595727623.51%565910.15000112000070033.80%14200000.4900000011
16Aliaksei ProtasFlyersLW7241115112107568223534.88%1182211.430000301131730050.31%32200000.3600110001
17Jonny BrodzinskiFlyersC72310131409516015315.00%25597.77000180111321049.84%31500000.4600000101
18Martin FehervaryFlyersD741121341100206443612202.78%66115415.600112170000176100.00%000000.2300000001
19Luke SchennFlyersD61210121112620113192212249.09%3682613.54000326000036100.00%000000.2900013100
20Brandon TanevFlyersRW7092110655875256173916.07%2377911.131011102262871028.23%12400000.2800100020
21Craig SmithNordiques (Phi)RW31426-360141522122618.18%02447.8710117000000050.00%1000000.4900000011
22Brock McGinnNordiques (Phi)LW10011060567170.00%0696.990000000000000.00%200000.2900000000
23Nicolas DeslauriersNordiques (Phi)LW1000120300220.00%01313.900000000000000.00%000000.0000000000
24Connor CarrickNordiques (Phi)D1000000000000.00%244.520000000001000.00%000000.0000000000
25Eric StaalNordiques (Phi)C1000000000000.00%000.470000000000000.00%000000.0000000000
26Chad RuhwedelNordiques (Phi)D1000-100100000.00%31111.970000000000000.00%000000.0000000000
27Henri JokiharjuNordiques (Phi)D1000000000000.00%033.330000000000000.00%000000.0000000000
28Liam O'BrienNordiques (Phi)C2000040422100.00%0136.7300000000000050.00%1200000.0000000000
Team Total or Average147025245570713102385190117812386695170210.56%7742436316.576612619259931617916523210371148.59%684700040.586164310333630
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 ThompsonFlyers66332660.8983.1438858220319990200.7789659422
2Chris DriedgerFlyers123420.9073.1658920313350000.0003965201
Team Total or Average78363080.9003.14447510223423340200.583127474623


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 2038 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2039 204020412042204320442045Salary Year 9Salary Year 10Link
Aliaksei ProtasFlyersLW232001-01-06No225 Lbs6 ft6NoNoNo1Pro & Farm1,500,000$1,500,000$135,593$No
RFA
Link / NHL Link
Auston MatthewsFlyersC271997-09-17No215 Lbs6 ft3YesNoYes8Pro Only1$1$0$No12,500,000$12,500,000$12,500,000$12,500,000$12,500,000$12,500,000$12,500,000$Link / NHL Link
Brandon TanevFlyersRW331991-12-31No189 Lbs6 ft0NoNoYes1Pro & Farm3,000,000$3,000,000$271,186$No
UFA
Link / NHL Link
Brendan SmithFlyersD351989-02-08No200 Lbs6 ft2YesNoNo2Pro & Farm2,000,000$2,000,000$180,791$No2,000,000$
UFA
Link / NHL Link
Chris DriedgerFlyersG301994-05-18No204 Lbs6 ft4NoNoNo1Pro & Farm1,500,000$1,500,000$135,593$No
UFA
Link / NHL Link
Conor GarlandFlyersRW281996-03-11No165 Lbs5 ft10NoNoYes2Pro Only5,000,000$5,000,000$451,977$No5,000,000$
UFA
Link / NHL Link
Drake BathersonFlyersLW261998-04-27No203 Lbs6 ft3NoNoYes4Pro Only6,000,000$6,000,000$542,373$No6,000,000$6,000,000$6,000,000$
UFA
Link / NHL Link
Dylan StromeFlyersRW271997-03-07No200 Lbs6 ft3NoNoYes1Pro & Farm4,000,000$4,000,000$361,582$No
UFA
Link / NHL Link
Ilya LyubushkinFlyersD301994-04-06No200 Lbs6 ft2NoNoYes3Pro & Farm3,500,000$3,500,000$316,384$No3,500,000$3,500,000$
UFA
Link / NHL Link
J.J. MoserFlyersD242000-06-06No173 Lbs6 ft1NoNoYes7Pro & Farm4,000,000$4,000,000$361,582$No4,000,000$4,000,000$4,000,000$4,000,000$4,000,000$4,000,000$
UFA
Link / NHL Link
Jonny BrodzinskiFlyersC311993-06-19No204 Lbs6 ft0NoNoNo2Pro & Farm800,000$800,000$72,316$No800,000$
UFA
Link / NHL Link
Logan ThompsonFlyersG271997-02-25No212 Lbs6 ft4NoNoYes1Pro & Farm4,000,000$4,000,000$361,582$No
UFA
Link / NHL Link
Luke SchennFlyersD351989-11-02No225 Lbs6 ft2NoNoNo1Pro & Farm850,000$850,000$76,836$No
UFA
Link / NHL Link
Martin FehervaryFlyersD251999-10-06No199 Lbs6 ft2NoNoYes3Pro & Farm2,900,000$2,900,000$262,147$No2,900,000$2,900,000$
UFA
Link / NHL Link
Martin PospisilFlyersRW251999-11-19No173 Lbs6 ft2NoNoNo1Pro & Farm1,250,000$1,250,000$112,994$No
RFA
Link / NHL Link
Matias MaccelliFlyersLW242000-10-14No176 Lbs5 ft11NoNoYes6Pro Only6,000,000$6,000,000$542,373$No6,000,000$6,000,000$6,000,000$6,000,000$6,000,000$
UFA
Link / NHL Link
Max DomiFlyersC291995-03-02No208 Lbs5 ft10NoNoYes2Pro Only5,000,000$5,000,000$451,977$No5,000,000$
UFA
Link / NHL Link
Mike AmadioFlyersC281996-05-13No200 Lbs6 ft1NoNoYes3Pro & Farm2,100,000$2,100,000$189,831$No2,100,000$2,100,000$
UFA
Link / NHL Link
Miles WoodFlyersLW291995-09-13No195 Lbs6 ft2NoNoYes3Pro & Farm2,500,000$2,500,000$225,989$No2,500,000$2,500,000$
UFA
Link / NHL Link
Miro HeiskanenFlyersD251999-07-18No197 Lbs6 ft2NoNoYes1Pro Only6,000,000$6,000,000$542,373$No
RFA
Link / NHL Link
Sheldon DriesFlyersC301994-04-23No180 Lbs5 ft9NoNoNo2Pro & Farm650,000$650,000$58,757$No650,000$
UFA
Link / NHL Link
Zach WhitecloudFlyersD281996-11-28No218 Lbs6 ft2NoNoYes4Pro & Farm3,500,000$3,500,000$316,384$No3,500,000$3,500,000$3,500,000$
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2228.14198 Lbs6 ft22.683,002,273$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
66,050,001$56,450,000$43,000,000$32,000,000$22,500,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Drake BathersonAuston MatthewsDylan Strome36113
2Matias MaccelliMax DomiConor Garland34113
3Aliaksei ProtasMike AmadioMartin Pospisil20122
4Miles WoodBrandon TanevJonny Brodzinski10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Miro HeiskanenJ.J. Moser40023
2Martin FehervaryIlya Lyubushkin30122
3Zach WhitecloudBrendan Smith20122
4Miro HeiskanenJ.J. Moser10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Drake BathersonAuston MatthewsDylan Strome60113
2Matias MaccelliMax DomiConor Garland40113
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Miro HeiskanenBrendan Smith60122
2J.J. MoserZach Whitecloud40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Auston MatthewsBrandon Tanev60122
2Aliaksei ProtasConor Garland40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Miro HeiskanenBrendan Smith60122
2Ilya LyubushkinJ.J. Moser40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Auston Matthews60131Miro HeiskanenBrendan Smith60131
2Aliaksei Protas40131Ilya LyubushkinJ.J. Moser40131
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Auston MatthewsDylan Strome60023
2Conor GarlandDrake Batherson40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Miro HeiskanenJ.J. Moser60122
2Brendan SmithZach Whitecloud40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Max DomiAuston MatthewsDylan StromeMiro HeiskanenJ.J. Moser
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Max DomiAuston MatthewsDylan StromeMiro HeiskanenJ.J. Moser
Extra Forwards
Normal PowerPlayPenalty Kill
Martin Pospisil, Aliaksei Protas, Miles WoodMike Amadio, Martin PospisilDylan Strome
Extra Defensemen
Normal PowerPlayPenalty Kill
Ilya Lyubushkin, Martin Fehervary, Zach WhitecloudMartin FehervaryZach Whitecloud, Martin Fehervary
Penalty Shots
Conor Garland, Drake Batherson, Auston Matthews, Max Domi, Dylan Strome
Goalie
#1 : Logan Thompson, #2 : Chris Driedger


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
1Avalanche22000000844110000004221100000042241.0008152300611054251514075172460400.00%12191.67%11272244452.05%1370264851.74%587115550.82%422751152512
2Blackhawks210001007611000010023-11100000053230.750712190034005417201615216223911327.27%10280.00%01272244452.05%1370264851.74%587115550.82%553940152613
3BlueJacket4120100012111210010008352020000048-440.500122335003531893323312154444710513430.77%20290.00%01272244452.05%1370264851.74%587115550.82%8457107304923
4Blues1010000014-31010000014-30000000000000.00012300010027491403211826500.00%40100.00%01272244452.05%1370264851.74%587115550.82%2315248126
5Bruins3120000078-1110000004312020000035-220.333711180011508321253709223325818316.67%16381.25%01272244452.05%1370264851.74%587115550.82%704872223718
6Canadiens31200000710-31010000002-22110000078-120.33371017004210822632240852634551616.25%17570.59%01272244452.05%1370264851.74%587115550.82%745168213619
7Canucks2110000046-2110000002111010000025-320.500481200130051121623067183634500.00%10280.00%01272244452.05%1370264851.74%587115550.82%463349132311
8Capitals3210000014952200000012481010000025-340.6671426400084209739312708223245211327.27%12191.67%01272244452.05%1370264851.74%587115550.82%765667203517
9Coyotes211000008621010000034-11100000052320.50081523003230953625340491224575240.00%12466.67%01272244452.05%1370264851.74%587115550.82%523843132312
10Devils4210100014122201010008802200000064260.750142236007421125403944211531426920210.00%11372.73%01272244452.05%1370264851.74%587115550.82%966892305225
11Ducks2110000068-2110000004221010000026-420.500611170024005618221606626333312325.00%13469.23%01272244452.05%1370264851.74%587115550.82%432851162512
12Flames211000006511010000023-11100000042220.5006121800123058161527052111653800.00%7271.43%01272244452.05%1370264851.74%587115550.82%503545142412
13GoldenKnights211000001073110000007341010000034-120.500101929003430752624250552120396116.67%10460.00%01272244452.05%1370264851.74%587115550.82%523843142411
14Hurricanes2110000067-1110000003211010000035-220.50061016001230411215140711926357114.29%13376.92%01272244452.05%1370264851.74%587115550.82%422754142310
15Islanders312000001113-21100000053220200000610-420.33311213200434079253123010237457513430.77%19763.16%01272244452.05%1370264851.74%587115550.82%644476223818
16Jets2020000048-41010000034-11010000014-300.0004610003100571921170701118445120.00%9277.78%01272244452.05%1370264851.74%587115550.82%513744132412
17Kings210001009901000010034-11100000065130.75091524003420532318120611324386116.67%12466.67%01272244452.05%1370264851.74%587115550.82%402653152612
18Lightning3300000015692200000010371100000053261.00015274201726012049333807125246923834.78%12191.67%11272244452.05%1370264851.74%587115550.82%826161213519
19MapleLeafs21100000330000000000002110000033020.500358002010742126270371610381516.67%5180.00%01272244452.05%1370264851.74%587115550.82%553940142313
20Oilers2020000036-31010000013-21010000023-100.00035800102048520230652220361218.33%10370.00%01272244452.05%1370264851.74%587115550.82%483347152311
21Panthers310010101174210000108531000100032161.00011193000117210235194110862734641600.00%13376.92%01272244452.05%1370264851.74%587115550.82%735074233920
22Penguins40400000616-102020000036-320200000310-700.0006101600141076262129014946791052129.52%28678.57%01272244452.05%1370264851.74%587115550.82%7951113314721
23Predators21000001660110000003211000000134-130.750611170003325216151778626204110330.00%9188.89%01272244452.05%1370264851.74%587115550.82%473251152512
24Rangers31100100810-2110000002112010010069-330.5008132100521011352302838230426815320.00%20480.00%11272244452.05%1370264851.74%587115550.82%745070233818
25RedWings330000001266220000008441100000042261.00012233500327093351741011732427215320.00%16287.50%11272244452.05%1370264851.74%587115550.82%714872223618
26Sabres300001111112-1100000105412000010168-240.667111930005322933333181511135328912216.67%16287.50%01272244452.05%1370264851.74%587115550.82%704880244118
27Senators30200100817-920100100511-61010000036-310.1678152300512073222823011731406916425.00%20670.00%01272244452.05%1370264851.74%587115550.82%664576233918
28Sharks210010001055110000005141000100054141.0001015250054018325302175617244712433.33%60100.00%11272244452.05%1370264851.74%587115550.82%533845132412
29Stars11000000101110000001010000000000021.0001230110003061770196716600.00%10100.00%01272244452.05%1370264851.74%587115550.82%2820197126
30Wild2010010079-21000010045-11010000034-110.250711180022305112172205819323910220.00%16475.00%01272244452.05%1370264851.74%587115550.82%483245142713
Total74303004622235236-1371910024201261002637112002202109136-27800.541235413648029171679218472968773347233469188116253486217.82%3798278.36%51272244452.05%1370264851.74%587115550.82%176812261789556922456
_Since Last GM Reset74303004622235236-1371910024201261002637112002202109136-27800.541235413648029171679218472968773347233469188116253486217.82%3798278.36%51272244452.05%1370264851.74%587115550.82%176812261789556922456
_Vs Conference46181903321145147-2221250212081592224614012016488-24500.543145254399015736476134046940344532147144555310232314117.75%2384979.41%31272244452.05%1370264851.74%587115550.82%10837491130347573282
_Vs Division23812021007178-71163020004127141229001003051-21210.4577112519600292416262022719019677552303055091001919.00%1232678.86%11272244452.05%1370264851.74%587115550.82%518356583173284135

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7480W123541364821842334691881162502
All Games
GPWLOTWOTL SOWSOLGFGA
7430304622235236
Home Games
GPWLOTWOTL SOWSOLGFGA
3719102420126100
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3711202202109136
Last 10 Games
WLOTWOTL SOWSOL
450100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3486217.82%3798278.36%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
729687733479171679
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1272244452.05%1370264851.74%587115550.82%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
176812261789556922456


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
214Flyers3GoldenKnights4ALBoxScore
420Flyers4Avalanche2AWBoxScore
740Sharks1Flyers5BWBoxScore
843Flyers3Senators6ALBoxScore
1068GoldenKnights3Flyers7BWBoxScore
1381Panthers3Flyers5BWBoxScore
1590Flyers2BlueJacket4ALBoxScore
17109Devils2Flyers3BWXBoxScore
19119Avalanche2Flyers4BWBoxScore
22135Flyers2Bruins3ALBoxScore
24155Islanders3Flyers5BWBoxScore
27167Flyers2Ducks6ALBoxScore
29184Flyers6Kings5AWBoxScore
31203Flyers5Sharks4AWXBoxScore
33210Flyers5Coyotes2AWBoxScore
36234Coyotes4Flyers3BLBoxScore
38250Blackhawks3Flyers2BLXBoxScore
41271Panthers2Flyers3BWXXBoxScore
43283Devils6Flyers5BLBoxScore
45300Lightning0Flyers6BWBoxScore
49320Flyers3Sabres4ALXBoxScore
50341Rangers1Flyers2BWBoxScore
51356Flyers2MapleLeafs1AWBoxScore
54373Senators6Flyers1BLBoxScore
58405Flyers1Penguins5ALBoxScore
63434BlueJacket2Flyers3BWXBoxScore
65446Flyers3Sabres4ALXXBoxScore
66460Flyers1Jets4ALBoxScore
69476Flyers4Flames2AWBoxScore
71490Flyers2Oilers3ALBoxScore
72503Flyers2Canucks5ALBoxScore
75526RedWings2Flyers4BWBoxScore
77536Predators2Flyers3BWBoxScore
79554BlueJacket1Flyers5BWBoxScore
80563Flyers4Rangers5ALXBoxScore
81576Flyers5Lightning3AWBoxScore
83589Flyers3Panthers2AWXBoxScore
85601Flyers3Hurricanes5ALBoxScore
86613Flyers3Predators4ALXXBoxScore
88626Hurricanes2Flyers3BWBoxScore
90641Flames3Flyers2BLBoxScore
92654Blues4Flyers1BLBoxScore
93667Flyers2Capitals5ALBoxScore
95678Stars0Flyers1BWBoxScore
97694Flyers3Devils2AWBoxScore
99708Wild5Flyers4BLXBoxScore
101724Bruins3Flyers4BWBoxScore
104745Flyers4Canadiens3AWBoxScore
109771Jets4Flyers3BLBoxScore
110775Flyers2Rangers4ALBoxScore
112778Flyers1Bruins2ALBoxScore
114798Oilers3Flyers1BLBoxScore
116807Canucks1Flyers2BWBoxScore
119834Kings4Flyers3BLXBoxScore
121846Ducks2Flyers4BWBoxScore
123860Penguins2Flyers1BLBoxScore
124868Flyers3Wild4ALBoxScore
128898RedWings2Flyers4BWBoxScore
129905Flyers4RedWings2AWBoxScore
131923Lightning3Flyers4BWBoxScore
133932Flyers3Canadiens5ALBoxScore
135952Penguins4Flyers2BLBoxScore
138974Sabres4Flyers5BWXXBoxScore
140986Flyers2BlueJacket4ALBoxScore
141994Flyers3Devils2AWBoxScore
1431013Flyers3Islanders5ALBoxScore
1461030Capitals3Flyers6BWBoxScore
1491055Flyers3Islanders5ALBoxScore
1511070Senators5Flyers4BLXBoxScore
1541090Capitals1Flyers6BWBoxScore
1551097Flyers1MapleLeafs2ALBoxScore
1571116Flyers2Penguins5ALBoxScore
1591130Canadiens2Flyers0BLBoxScore
1611138Flyers5Blackhawks3AWBoxScore
1631158Islanders-Flyers-
1641168Flyers-Capitals-
1671188MapleLeafs-Flyers-
Trade Deadline --- Trades can’t be done after this day is simulated!
1701204Flyers-Hurricanes-
1711218Rangers-Flyers-
1731233Flyers-Stars-
1751250Flyers-Blues-
1771267Hurricanes-Flyers-


Depth Chart
Left WingCenterRight Wing
Drake Batherson
Drake Batherson
AGE:26
SK:87
EN:85
DU:99
PH:78
PA:78
SC:78
DF:68
Matias Maccelli
Matias Maccelli
AGE:24
SK:90
EN:82
DU:99
PH:74
PA:80
SC:67
DF:62
Aliaksei Protas
Aliaksei Protas
AGE:23
SK:75
EN:77
DU:96
PH:60
PA:64
SC:56
DF:79
Miles Wood
Miles Wood
AGE:29
SK:79
EN:77
DU:94
PH:59
PA:59
SC:60
DF:75
Ross Johnston
Ross Johnston
AGE:30
SK:75
EN:69
DU:89
PH:47
PA:44
SC:51
DF:64
Nicolas Deslauriers
Nicolas Deslauriers
AGE:33
SK:75
EN:68
DU:84
PH:48
PA:44
SC:51
DF:63
Brock McGinn
Brock McGinn
AGE:30
SK:76
EN:73
DU:60
PH:50
PA:47
SC:53
DF:66
Josh Leivo
Josh Leivo
AGE:31
SK:79
EN:60
DU:50
PH:58
PA:49
SC:50
DF:64
Mackenzie MacEachern
Mackenzie MacEachern
AGE:30
SK:75
EN:60
DU:50
PH:48
PA:51
SC:44
DF:57
Jackson Cates
Jackson Cates
AGE:27
SK:75
EN:71
DU:61
PH:42
PA:39
SC:46
DF:61
Ostap Safin
Ostap Safin
AGE:25
SK:75
EN:60
DU:50
PH:33
PA:29
SC:36
DF:50
Auston Matthews
Auston Matthews
AGE:27
SK:97
EN:89
DU:98
PH:99
PA:78
SC:99
DF:94
Max Domi
Max Domi
AGE:29
SK:86
EN:77
DU:98
PH:69
PA:79
SC:59
DF:64
Mike Amadio
Mike Amadio
AGE:28
SK:80
EN:77
DU:93
PH:60
PA:55
SC:66
DF:70
Sheldon Dries
Sheldon Dries
AGE:30
SK:85
EN:64
DU:54
PH:64
PA:54
SC:70
DF:70
Jonny Brodzinski
Jonny Brodzinski
AGE:31
SK:80
EN:73
DU:82
PH:59
PA:59
SC:59
DF:65
Liam O'Brien
Liam O'Brien
AGE:30
SK:76
EN:71
DU:94
PH:53
PA:50
SC:55
DF:64
Brendan Gaunce
Brendan Gaunce
AGE:30
SK:75
EN:74
DU:60
PH:52
PA:47
SC:57
DF:68
Eric Staal
Eric Staal
AGE:40
SK:79
EN:60
DU:50
PH:62
PA:57
SC:56
DF:67
Marat Khusnutdinov (R)
Marat Khusnutdinov
AGE:22
SK:80
EN:77
DU:54
PH:55
PA:55
SC:55
DF:71
Cameron Hebig
Cameron Hebig
AGE:27
SK:76
EN:70
DU:60
PH:47
PA:47
SC:46
DF:70
Stephen Halliday (R)
Stephen Halliday
AGE:22
SK:81
EN:60
DU:50
PH:46
PA:61
SC:30
DF:56
Dylan Strome
Dylan Strome
AGE:27
SK:88
EN:84
DU:99
PH:79
PA:80
SC:77
DF:75
Conor Garland
Conor Garland
AGE:28
SK:89
EN:79
DU:99
PH:69
PA:67
SC:70
DF:76
Brandon Tanev
Brandon Tanev
AGE:33
SK:79
EN:79
DU:88
PH:55
PA:51
SC:59
DF:88
Martin Pospisil
Martin Pospisil
AGE:25
SK:81
EN:76
DU:86
PH:61
PA:61
SC:60
DF:74
Craig Smith
Craig Smith
AGE:35
SK:78
EN:72
DU:94
PH:56
PA:50
SC:62
DF:67
Oskar Pettersson (R)
Oskar Pettersson
AGE:20
SK:83
EN:60
DU:50
PH:35
PA:31
SC:38
DF:59

Defense #1Defense #2Goalie
Miro Heiskanen
Miro Heiskanen
AGE:25
SK:89
EN:91
DU:92
PH:79
PA:92
SC:66
DF:79
J.J. Moser
J.J. Moser
AGE:24
SK:82
EN:84
DU:98
PH:60
PA:62
SC:58
DF:79
Martin Fehervary
Martin Fehervary
AGE:25
SK:77
EN:82
DU:88
PH:56
PA:56
SC:56
DF:77
Zach Whitecloud
Zach Whitecloud
AGE:28
SK:75
EN:79
DU:85
PH:55
PA:56
SC:54
DF:78
Brendan Smith
Brendan Smith
AGE:35
SK:77
EN:77
DU:86
PH:56
PA:53
SC:60
DF:79
Ilya Lyubushkin
Ilya Lyubushkin
AGE:30
SK:75
EN:78
DU:94
PH:49
PA:49
SC:50
DF:79
Luke Schenn
Luke Schenn
AGE:35
SK:75
EN:75
DU:86
PH:50
PA:48
SC:52
DF:71
Henri Jokiharju
Henri Jokiharju
AGE:25
SK:79
EN:81
DU:94
PH:57
PA:59
SC:55
DF:76
Chad Ruhwedel
Chad Ruhwedel
AGE:34
SK:76
EN:71
DU:79
PH:49
PA:45
SC:52
DF:72
Connor Carrick
Connor Carrick
AGE:30
SK:76
EN:74
DU:69
PH:48
PA:49
SC:46
DF:70
Philip Kemp
Philip Kemp
AGE:25
SK:75
EN:68
DU:63
PH:35
PA:37
SC:34
DF:70
Nick Cicek
Nick Cicek
AGE:24
SK:75
EN:71
DU:66
PH:36
PA:35
SC:37
DF:63
Montana Onyebuchi
Montana Onyebuchi
AGE:24
SK:75
EN:55
DU:50
PH:33
PA:32
SC:35
DF:69
Artem Grushnikov (R)
Artem Grushnikov
AGE:21
SK:82
EN:68
DU:63
PH:29
PA:26
SC:32
DF:64
Artem Guryev (R)
Artem Guryev
AGE:21
SK:78
EN:55
DU:50
PH:32
PA:25
SC:38
DF:60
Olli Juolevi
Olli Juolevi
AGE:26
SK:75
EN:55
DU:50
PH:41
PA:48
SC:33
DF:50
Artyom Serikov
Artyom Serikov
AGE:24
SK:75
EN:55
DU:50
PH:34
PA:32
SC:36
DF:50
Logan Thompson
Logan Thompson
AGE:27
SK:86
AG:76
RB:79
SC:79
HS:79
RT:78
DF:77
Chris Driedger
Chris Driedger
AGE:30
SK:80
AG:64
RB:63
SC:63
HS:66
RT:63
DF:65
Louis Domingue
Louis Domingue
AGE:32
SK:76
AG:56
RB:60
SC:59
HS:56
RT:59
DF:58
Arvid Holm
Arvid Holm
AGE:26
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Veini Vehvilainen
Veini Vehvilainen
AGE:27
SK:76
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
Cameron MacdonaldFlyers2035194
Connor ClattenburgFlyers2038176
Coulson PitreFlyers203775
Hoyt StanleyFlyers2037137
Kasper PikkarainenFlyers2038114
Ludvig LaftonFlyers2038207
Matyas SapovalivFlyers203668
Sergei IvanovFlyers2036161
Vadim MorozFlyers2037106
Viktor NorringerFlyers2038145
Will SkahanFlyers203883

Draft Picks

Draft Picks
Year R1R2R3R4R5R6R7
2039
2040
2041



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 Matthews4863573517081032335651908261013.68%2031193424.561031062096431292178601453.28%151.191236
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 Thompson1669253110.9033.07958216649050660600.80025
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
203874303004622235236-1371910024201261002637112002202109136-2780235413648029171679218472968773347233469188116253486217.82%3798278.36%51272244452.05%1370264851.74%587115550.82%176812261789556922456
Total Regular Season16326926730375510174528451741108163643250232647312676254013681632834801429544326082634-26166652849021143052775206180016861468492721599159261627815074511291528220123361377460145319.48%7657153180.01%87277455424551.15%274695610248.96%130852601450.30%382632536638184128912267711341
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