Login

Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.
Game Center
Flyers
33-26-7, 73pts
3
FINAL
2 Devils
26-35-5, 57pts
Team Stats
L1StreakOTW1
21-9-3Home Record13-19-2
12-17-4Away Record13-16-3
5-5-0Last 10 Games5-5-0
3.15Goals Per Game2.71
3.18Goals Against Per Game3.58
16.78%Power Play Percentage15.11%
78.61%Penalty Kill Percentage78.98%
Flyers
33-26-7, 73pts
3
FINAL
5 Islanders
39-23-3, 81pts
Team Stats
L1StreakW4
21-9-3Home Record21-10-2
12-17-4Away Record18-13-1
5-5-0Last 10 Games7-2-1
3.15Goals Per Game4.02
3.18Goals Against Per Game3.09
16.78%Power Play Percentage23.51%
78.61%Penalty Kill Percentage79.93%
Capitals
24-37-5, 53pts
Day 146
Flyers
33-26-7, 73pts
Team Stats
L3StreakL1
14-17-2Home Record21-9-3
10-20-3Away Record12-17-4
1-7-2Last 10 Games5-5-0
2.95Goals Per Game3.15
3.67Goals Against Per Game3.18
16.00%Power Play Percentage16.78%
78.16%Penalty Kill Percentage78.61%
Flyers
33-26-7, 73pts
Day 149
Islanders
39-23-3, 81pts
Team Stats
L1StreakW4
21-9-3Home Record21-10-2
12-17-4Away Record18-13-1
5-5-0Last 10 Games7-2-1
3.15Goals Per Game4.02
3.18Goals Against Per Game3.09
16.78%Power Play Percentage23.51%
78.61%Penalty Kill Percentage79.93%
Senators
44-21-1, 89pts
Day 151
Flyers
33-26-7, 73pts
Team Stats
SOW1StreakL1
19-14-0Home Record21-9-3
25-7-1Away Record12-17-4
8-2-0Last 10 Games5-5-0
4.14Goals Per Game3.15
3.18Goals Against Per Game3.18
23.39%Power Play Percentage16.78%
81.79%Penalty Kill Percentage78.61%
Team Leaders
Auston MatthewsGoals
Auston Matthews
45
Miro HeiskanenAssists
Miro Heiskanen
44
Auston MatthewsPoints
Auston Matthews
82
Zach WhitecloudPlus/Minus
Zach Whitecloud
18
Logan ThompsonWins
Logan Thompson
30
Chris DriedgerSave Percentage
Chris Driedger
0.908

Team Stats
Goals For
208
3.15 GFG
Shots For
1945
29.47 Avg
Power Play Percentage
16.8%
51 GF
Offensive Zone Start
38.8%
Goals Against
210
3.18 GAA
Shots Against
2108
31.94 Avg
Penalty Kill Percentage
78.6%
74 GA
Defensive Zone Start
42.7%
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
Attendance15,642
Season Tickets10,000
Roster Info
Pro Team22
Farm Team27
Contract Limit49 / 50
Prospects11
Salary Cap
Estimated Season Salary Cap60,486,410$
Available Salary Cap24,513,590$
Special Salary Cap Value0$
Players In Salary Cap22
Finance
Year to Date Revenue58,331,900$
Year To Date Expenses52,547,354$
Estimated Season Revenue14,141,067$
Estimated Season Expenses12,938,970$
Current Bank Account264,248,426$
Projected Bank Account265,035,681$
Team History
This Season33-26-7 (73PTS)
History827-669-111 (0.515%)
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)X98.0066558597758998998978999475788455378402781$
2Dylan Strome (A)X100.0043518588678499798880777558788155377502714,000,000$
3Drake BathersonX100.0068528087698599787678786879768160247502646,000,000$
4Conor GarlandX100.0055408189407999694067707682808050387002825,000,000$
5Matias MaccelliX100.0047418890478299744080676240727770187002466,000,000$
6Max DomiX100.0056636186617798698579596455828045416902925,000,000$
7Brandon TanevX100.0093617579567988554051598840908525476703313,000,000$
8Aliaksei ProtasX100.0050618875867796607564567940707475376702311,500,000$
9Mike AmadioX100.0055498680637793608755667040807950446602832,100,000$
10Martin PospisilX100.0099535581527686614061607440747565346602511,250,000$
11Jonny BrodzinskiX100.005449878063738259855959654086803538640312800,000$
12Sheldon DriesX100.007150748545645464705470704084744029640302650,000$
13Miro Heiskanen (A)X100.0058508089649192794092667960748365547602516,000,000$
14Brendan SmithX100.0084607177657786564053607940948615417103522,000,000$
15Martin FehervaryX100.0099508377658288564056567740747865337102532,900,000$
16J.J. MoserX100.0069458182508498604062587940727870467102474,000,000$
17Zach WhitecloudX100.0090558075747985554056547840808050387102843,500,000$
18Ilya LyubushkinX100.0096537575657894494049507940848140377003033,500,000$
Scratches
1Craig SmithX100.005653817865729456405062676494831520640351850,000$
2Luke SchennX100.009973767578758650404852714094851527700351850,000$
Farm Team
1Liam O'BrienX100.009982497670719453405055644084784029630302650,000$
2Eric StaalX100.00495183796760506281575667629980030620401850,000$
3Brendan GaunceX100.008856857577746052894757684084794030620301575,000$
4Ross JohnstonX100.008888567588698947404451644084774030610302725,000$
5Marat Khusnutdinov (R)X100.006341838047775455835555714068738028610223925,000$
6Nicolas DeslauriersX100.009986607572688448404451634090792530600331850,000$
7Brock McGinnX100.0076458776557360504047536690847940416003011,100,000$
8Josh LeivoX100.006552807961605058404950647386733529590311575,000$
9Cameron HebigX100.005547797650706047704746704078745529570271770,000$
10Mackenzie MacEachernX100.007249827570605048405144574084724029560302650,000$
11Stephen Halliday (R)X100.005944868174605046706130564068648018550223925,000$
12Henri JokiharjuX100.0069488479618194574059557640747865306902511,578,000$
13Chad RuhwedelX100.008145887655717949404552724092822030660341850,000$
14Connor CarrickX100.006363717655746948404946704084794030630301575,000$
15Philip KempX100.008261737573686335403734704074716530620251575,000$
16Nick CicekX100.008164687567716636403537634072727020600241575,000$
17Montana OnyebuchiX100.007986317577555033403235694072647020590241575,000$
18Jackson CatesX100.004946857556716142403946614078755517540271700,000$
19Oskar Pettersson (R)X100.005239878364605035403138594064629020510203925,000$
20Ostap SafinX100.008372837576605033402936504074676519500251770,000$
21Artem Grushnikov (R)X100.005850788265686329402632644066678520570213925,000$
22Artem Guryev (R)X100.007570387879555032402538604066618520560213925,000$
23Olli JuoleviX100.0058467875565550414048335040766660205402611,000,000$
24Artyom SerikovX100.005850817565555034403236504072647020530241575,000$
TEAM AVERAGE99.95715676796472755452535369477976523064
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 Domingue100.00765460935660595659588588743033640321850,000$
2Arvid Holm100.00755060965050505050509976636034580261575,000$
3Veini Vehvilainen100.00765060825050505050504078645520570271850,000$
TEAM AVERAGE100.0079626992596060606060848171483566
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 MatthewsFlyersC66453782941511825033510724413.43%31156923.791492382265123113446453.12%232500021.04340011136
2Dylan StromeFlyersRW6619395878017951865713410.22%13125218.97216183826510121195152.55%33300010.9300000433
3Drake BathersonFlyersRW652628540340102981884112013.83%3125119.25111021512680001393052.44%51300010.8614000343
4Conor GarlandFlyersRW6520305011160511041665613312.05%11128119.7168144821910161932331.03%8700000.7814000431
5Miro HeiskanenFlyersD6564450-61406412711630875.17%98169126.0241317822651123288100.00%000000.5900000142
6Matias MaccelliFlyersLW67183048-1820101171753212310.29%12144921.63113143223220233151031.05%27700000.6602000121
7J.J. MoserFlyersD6682533-2680121609523528.42%132151022.893912562240113240120.00%000000.4400000023
8Brendan SmithFlyersD659223178601534081225711.11%72144822.28257312550114250100.00%000000.4300000102
9Max DomiFlyersC669172637230828481236111.11%691513.87011222000070054.38%37700000.5700114010
10Sheldon DriesFlyersLW6361824012070869436756.38%472811.5736933214000002045.19%58200000.6600000121
11Mike AmadioFlyersLW6691120340145988234610.23%76269.491123540002232054.48%44600000.6400000010
12Ilya LyubushkinFlyersD665131812980151474172712.20%81111616.91000171012225200.00%000000.3200000121
13Zach WhitecloudFlyersD663141718755115356120504.92%67122418.56134332210000114000.00%000000.2800001000
14Martin PospisilFlyersRW5721315-2420129515225543.85%457610.12000112000070033.82%13600000.5200000011
15Jonny BrodzinskiFlyersC64310131409485713295.26%25148.04000180111281050.16%30700000.5100000101
16Aliaksei ProtasFlyersLW643912012107496822444.41%1072311.300000301121550049.67%30000000.3300110001
17Luke SchennFlyersD61210121112620113192212249.09%3682613.54000326000036100.00%000000.2900013100
18Brandon TanevFlyersRW6292110635794754173716.67%2070611.401011102262541029.85%6700000.3100100020
19Martin FehervaryFlyersD66110114980193363010173.33%58102315.500112140000173100.00%000000.2200000001
20Craig SmithFlyersRW31426-360141522122618.18%02447.8710117000000050.00%1000000.4900000011
21Brock McGinnNordiques (Phi)LW10011060567170.00%0696.990000000000000.00%200000.2900000000
22Nicolas DeslauriersNordiques (Phi)LW1000120300220.00%01313.900000000000000.00%000000.0000000000
23Connor CarrickNordiques (Phi)D1000000000000.00%244.520000000001000.00%000000.0000000000
24Eric StaalNordiques (Phi)C1000000000000.00%000.470000000000000.00%000000.0000000000
25Chad RuhwedelNordiques (Phi)D1000-100100000.00%31111.970000000000000.00%000000.0000000000
26Henri JokiharjuNordiques (Phi)D1000000000000.00%033.330000000000000.00%000000.0000000000
27Liam O'BrienNordiques (Phi)C2000040422100.00%0136.7300000000000050.00%1200000.0000000000
Team Total or Average12742073855925589375162514752021592144910.24%6722079716.32509514550125917916462823301049.93%577400040.57514339293128
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 ThompsonFlyers59302350.9003.1034638217917930200.7789588422
2Chris DriedgerFlyers113320.9083.2853020293150000.0003858201
Team Total or Average70332670.9013.13399410220821080200.583126666623


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$279,661$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$559,322$No
UFA
Link / NHL Link
Brendan SmithFlyersD351989-02-08No200 Lbs6 ft2YesNoNo2Pro & Farm2,000,000$2,000,000$372,881$No2,000,000$
UFA
Link / NHL Link
Chris DriedgerFlyersG301994-05-18No204 Lbs6 ft4NoNoNo1Pro & Farm1,500,000$1,500,000$279,661$No
UFA
Link / NHL Link
Conor GarlandFlyersRW281996-03-11No165 Lbs5 ft10NoNoYes2Pro Only5,000,000$5,000,000$932,203$No5,000,000$
UFA
Link / NHL Link
Craig SmithFlyersRW351989-09-05No203 Lbs6 ft1NoNoNo1Pro & Farm850,000$850,000$158,475$No
UFA
Link / NHL Link
Drake BathersonFlyersRW261998-04-27No203 Lbs6 ft3NoNoYes4Pro Only6,000,000$6,000,000$1,118,644$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$745,763$No
UFA
Link / NHL Link
Ilya LyubushkinFlyersD301994-04-06No200 Lbs6 ft2NoNoYes3Pro & Farm3,500,000$3,500,000$652,542$No3,500,000$3,500,000$
UFA
Link / NHL Link
J.J. MoserFlyersD242000-06-06No173 Lbs6 ft1NoNoYes7Pro & Farm4,000,000$4,000,000$745,763$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$149,153$No800,000$
UFA
Link / NHL Link
Logan ThompsonFlyersG271997-02-25No212 Lbs6 ft4NoNoYes1Pro & Farm4,000,000$4,000,000$745,763$No
UFA
Link / NHL Link
Luke SchennFlyersD351989-11-02No225 Lbs6 ft2NoNoNo1Pro & Farm850,000$850,000$158,475$No
UFA
Link / NHL Link
Martin FehervaryFlyersD251999-10-06No199 Lbs6 ft2NoNoYes3Pro & Farm2,900,000$2,900,000$540,678$No2,900,000$2,900,000$
UFA
Link / NHL Link
Martin PospisilFlyersRW251999-11-19No173 Lbs6 ft2NoNoNo1Pro & Farm1,250,000$1,250,000$233,051$No
RFA
Link / NHL Link
Matias MaccelliFlyersLW242000-10-14No176 Lbs5 ft11NoNoYes6Pro Only6,000,000$6,000,000$1,118,644$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$932,203$No5,000,000$
UFA
Link / NHL Link
Mike AmadioFlyersLW281996-05-13No200 Lbs6 ft1NoNoYes3Pro & Farm2,100,000$2,100,000$391,525$No2,100,000$2,100,000$
UFA
Link / NHL Link
Miro HeiskanenFlyersD251999-07-18No197 Lbs6 ft2NoNoYes1Pro Only6,000,000$6,000,000$1,118,644$No
RFA
Link / NHL Link
Sheldon DriesFlyersLW301994-04-23No180 Lbs5 ft9NoNoNo2Pro & Farm650,000$650,000$121,186$No650,000$
UFA
Link / NHL Link
Zach WhitecloudFlyersD281996-11-28No218 Lbs6 ft2NoNoYes4Pro & Farm3,500,000$3,500,000$652,542$No3,500,000$3,500,000$3,500,000$
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2228.41199 Lbs6 ft12.592,927,273$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
64,400,001$53,950,000$40,500,000$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
4Sheldon DriesBrandon 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
2Sheldon DriesMax 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, Sheldon DriesMike 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%11133216052.45%1239237852.10%517102550.44%422751152512
2Blackhawks1000010023-11000010023-10000000000010.50022400200024896131121217300.00%5180.00%01133216052.45%1239237852.10%517102550.44%2618227137
3BlueJacket4120100012111210010008352020000048-440.500122335003531893323312154444710513430.77%20290.00%01133216052.45%1239237852.10%517102550.44%8457107304923
4Blues1010000014-31010000014-30000000000000.00012300010027491403211826500.00%40100.00%01133216052.45%1239237852.10%517102550.44%2315248126
5Bruins3120000078-1110000004312020000035-220.333711180011508321253709223325818316.67%16381.25%01133216052.45%1239237852.10%517102550.44%704872223718
6Canadiens2110000078-1000000000002110000078-120.50071017004210572222130571926401317.69%13376.92%01133216052.45%1239237852.10%517102550.44%513544142412
7Canucks2110000046-2110000002111010000025-320.500481200130051121623067183634500.00%10280.00%01133216052.45%1239237852.10%517102550.44%463349132311
8Capitals1010000025-3000000000001010000025-300.00024600101022107502961219300.00%6183.33%01133216052.45%1239237852.10%517102550.44%2114277115
9Coyotes211000008621010000034-11100000052320.50081523003230953625340491224575240.00%12466.67%01133216052.45%1239237852.10%517102550.44%523843132312
10Devils4210100014122201010008802200000064260.750142236007421125403944211531426920210.00%11372.73%01133216052.45%1239237852.10%517102550.44%966892305225
11Ducks2110000068-2110000004221010000026-420.500611170024005618221606626333312325.00%13469.23%01133216052.45%1239237852.10%517102550.44%432851162512
12Flames211000006511010000023-11100000042220.5006121800123058161527052111653800.00%7271.43%01133216052.45%1239237852.10%517102550.44%503545142412
13GoldenKnights211000001073110000007341010000034-120.500101929003430752624250552120396116.67%10460.00%01133216052.45%1239237852.10%517102550.44%523843142411
14Hurricanes2110000067-1110000003211010000035-220.50061016001230411215140711926357114.29%13376.92%01133216052.45%1239237852.10%517102550.44%422754142310
15Islanders21100000880110000005321010000035-220.50081624003320551925110712129558225.00%12375.00%01133216052.45%1239237852.10%517102550.44%432951142512
16Jets2020000048-41010000034-11010000014-300.0004610003100571921170701118445120.00%9277.78%01133216052.45%1239237852.10%517102550.44%513744132412
17Kings210001009901000010034-11100000065130.75091524003420532318120611324386116.67%12466.67%01133216052.45%1239237852.10%517102550.44%402653152612
18Lightning3300000015692200000010371100000053261.00015274201726012049333807125246923834.78%12191.67%11133216052.45%1239237852.10%517102550.44%826161213519
19MapleLeafs11000000211000000000001100000021121.0002460020004112171201798216116.67%4175.00%01133216052.45%1239237852.10%517102550.44%2820206105
20Oilers2020000036-31010000013-21010000023-100.00035800102048520230652220361218.33%10370.00%01133216052.45%1239237852.10%517102550.44%483347152311
21Panthers310010101174210000108531000100032161.00011193000117210235194110862734641600.00%13376.92%01133216052.45%1239237852.10%517102550.44%735074233920
22Penguins30300000411-72020000036-31010000015-400.00046100003105214112701163562791616.25%23578.26%01133216052.45%1239237852.10%517102550.44%583787233415
23Predators21000001660110000003211000000134-130.750611170003325216151778626204110330.00%9188.89%01133216052.45%1239237852.10%517102550.44%473251152512
24Rangers31100100810-2110000002112010010069-330.5008132100521011352302838230426815320.00%20480.00%11133216052.45%1239237852.10%517102550.44%745070233818
25RedWings330000001266220000008441100000042261.00012233500327093351741011732427215320.00%16287.50%11133216052.45%1239237852.10%517102550.44%714872223618
26Sabres300001111112-1100000105412000010168-240.667111930005322933333181511135328912216.67%16287.50%01133216052.45%1239237852.10%517102550.44%704880244118
27Senators20200000412-81010000016-51010000036-300.00048120021104513171507721304010220.00%15660.00%01133216052.45%1239237852.10%517102550.44%412652152612
28Sharks210010001055110000005141000100054141.0001015250054018325302175617244712433.33%60100.00%11133216052.45%1239237852.10%517102550.44%533845132412
29Stars11000000101110000001010000000000021.0001230110003061770196716600.00%10100.00%01133216052.45%1239237852.10%517102550.44%2820197126
30Wild2010010079-21000010045-11010000034-110.250711180022305112172205819323910220.00%16475.00%01133216052.45%1239237852.10%517102550.44%483245142713
Total66272604522208210-2331790232011089213310170220298121-23730.553208364572027862629194565160665347210861980614633045116.78%3467478.61%51133216052.45%1239237852.10%517102550.44%156510811611497822406
_Since Last GM Reset66272604522208210-2331790232011089213310170220298121-23730.553208364572027862629194565160665347210861980614633045116.78%3467478.61%51133216052.45%1239237852.10%517102550.44%156510811611497822406
_Vs Conference39161503221123124-1181040202065481721611012015876-18450.57712321533801453142611314003333753212663774888831953316.92%2104280.00%31133216052.45%1239237852.10%517102550.44%908624970296486238
_Vs Division19610021005464-1094302000292361027001002541-16170.44754941480020191324971801501607638186260430821315.85%1052180.00%11133216052.45%1239237852.10%517102550.44%420285491145234111

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
6673L120836457219452108619806146302
All Games
GPWLOTWOTL SOWSOLGFGA
6627264522208210
Home Games
GPWLOTWOTL SOWSOLGFGA
33179232011089
Visitor Games
GPWLOTWOTL SOWSOLGFGA
331017220298121
Last 10 Games
WLOTWOTL SOWSOL
450010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3045116.78%3467478.61%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
651606653477862629
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1133216052.45%1239237852.10%517102550.44%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
156510811611497822406


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
1461030Capitals-Flyers-
1491055Flyers-Islanders-
1511070Senators-Flyers-
1541090Capitals-Flyers-
1551097Flyers-MapleLeafs-
1571116Flyers-Penguins-
1591130Canadiens-Flyers-
1611138Flyers-Blackhawks-
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
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
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
Ross Johnston
Ross Johnston
AGE:30
SK:75
EN:69
DU:89
PH:47
PA:44
SC:51
DF:64
Brock McGinn
Brock McGinn
AGE:30
SK:76
EN:73
DU:60
PH:50
PA:47
SC:53
DF:66
Nicolas Deslauriers
Nicolas Deslauriers
AGE:33
SK:75
EN:68
DU:84
PH:48
PA:44
SC:51
DF:63
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
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
Drake Batherson
Drake Batherson
AGE:26
SK:87
EN:85
DU:99
PH:78
PA:78
SC:78
DF:68
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 Matthews4783553487031112255481863258713.72%1971175124.581021042066361292178591453.25%151.201236
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
2Jaroslav Halak21089100110.8963.1211926161462159530730.83390
3Logan Thompson1598950100.9043.05916016646648600600.80025
4Ben Bishop1266941100.9003.00725825536336170610.66724
5Chris Driedger1576766100.9043.188697246461481301410.69559

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
203866272604522208210-2331790232011089213310170220298121-2373208364572027862629194565160665347210861980614633045116.78%3467478.61%51133216052.45%1239237852.10%517102550.44%156510811611497822406
Total Regular Season16246896690375410174525751481098123623240232547312660252913181232734501429544325972619-22165952578972142292775193179116811468490331521158451619815074509031521020048359757416144219.44%7624152380.02%87276065396151.16%273385583248.96%130152588450.28%380602522038006128332257611290
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