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Philadelphia Flyers
GP: 3 | W: 1 | L: 1 | OTL: 1 | P: 4
GF: 13 | GA: 11 | PP%: 30.77% | PK%: 81.82%
GM : Brad | Morale : 40 | Team Overall : 76
Next Games #38 vs Toronto Maple Leafs
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Game Center
Philadelphia Flyers
1-1-1, 4pts
9
FINAL
2 Quebec Nordiques
1-2-0, 3pts
Team Stats
L1StreakW1
0-1-1Home Record0-2-0
1-0-0Away Record1-0-0
1-1-1Last 10 Games1-2-0
4.33Goals Per Game1.67
3.67Goals Against Per Game4.33
30.77%Power Play Percentage14.29%
81.82%Penalty Kill Percentage76.92%
Pittsburgh Penguins
3-0-0, 9pts
5
FINAL
1 Philadelphia Flyers
1-1-1, 4pts
Team Stats
W3StreakL1
1-0-0Home Record0-1-1
2-0-0Away Record1-0-0
3-0-0Last 10 Games1-1-1
4.67Goals Per Game4.33
1.33Goals Against Per Game3.67
21.43%Power Play Percentage30.77%
85.71%Penalty Kill Percentage81.82%
Toronto Maple Leafs
1-1-1, 4pts
Day 7
Philadelphia Flyers
1-1-1, 4pts
Team Stats
L1StreakL1
0-1-0Home Record0-1-1
1-0-1Away Record1-0-0
1-1-1Last 10 Games1-1-1
1.67Goals Per Game4.33
2.00Goals Against Per Game4.33
9.09%Power Play Percentage30.77%
91.67%Penalty Kill Percentage81.82%
Philadelphia Flyers
1-1-1, 4pts
Day 9
Montreal Canadiens
0-2-1, 1pts
Team Stats
L1StreakSOL1
0-1-1Home Record0-1-1
1-0-0Away Record0-1-0
1-1-1Last 10 Games0-2-1
4.33Goals Per Game1.33
3.67Goals Against Per Game1.33
30.77%Power Play Percentage0.00%
81.82%Penalty Kill Percentage63.64%
Philadelphia Flyers
1-1-1, 4pts
Day 11
Boston Bruins
3-0-0, 6pts
Team Stats
L1StreakW3
0-1-1Home Record1-0-0
1-0-0Away Record2-0-0
1-1-1Last 10 Games3-0-0
4.33Goals Per Game3.00
3.67Goals Against Per Game3.00
30.77%Power Play Percentage27.27%
81.82%Penalty Kill Percentage92.86%
Team Leaders
Connor McDavidGoals
Connor McDavid
3
Connor McDavidAssists
Connor McDavid
4
Connor McDavidPoints
Connor McDavid
7
Brendan GallagherPlus/Minus
Brendan Gallagher
3
Philipp GrubauerWins
Philipp Grubauer
1
Philipp GrubauerSave Percentage
Philipp Grubauer
0.923

Team Stats
Goals For
13
4.33 GFG
Shots For
79
26.33 Avg
Power Play Percentage
30.8%
4 GF
Offensive Zone Start
31.8%
Goals Against
11
3.67 GAA
Shots Against
94
31.33 Avg
Penalty Kill Percentage
81.8%%
2 GA
Defensive Zone Start
40.2%
Team Info

General ManagerBrad
DivisionNortheast Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

NameWells Fargo Center
Capacity18,000
Attendance0
Season Tickets7,560


Roster Info

Pro Team22
Farm Team21
Contract Limit43 / 250
Prospects48


Finance

Year to Date Revenue0$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account127,565,107$
Projected Bank Account127,565,107$


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
1Connor McDavid0X100.007847879275979993999590778875820408402725,333,333$
2Elias Pettersson0X99.0062409299709497909090907186717504082N02546,650,000$
3Brock Boeser0X100.007247849372919185679090708675800408002728,280,333$
4Brendan Gallagher0X100.008443849250949683698193738280650407903222,950,000$
5Vladimir Tarasenko0X99.006253828180868780667883727680820407603215,500,500$
6J.T. Miller0X99.0081527677818884777879747376798504075N03114,850,000$
7Michael Rasmussen0X100.009353797799878673827874707271740407502541,850,000$
8Evgenii Dadonov0X100.008540808256868672637980647584770407303523,650,500$
9Morgan Geekie0X100.00674879837385937190737070737170040720251800,000$
10Patrick Kane0X100.00613581835383837167747061728472040700351800,000$
11Jake Leschyshyn0X100.00784880757079876678686774687777040700251600,000$
12Nathan Bastian0X100.00925564759273716274636669687274040680262600,000$
13Haydn Fleury0X100.007550888385818183508770777075830407702731,950,000$
14Tyson Barrie0X100.006842969272959876508469757580770407703215,005,000$
15Jakub Zboril0X99.008244848278828275507766756676820407502731,935,000$
16Luke Schenn0X100.009060866995899367507063765982800407503411,350,000$
17Jake Bean0X100.006038859178797979507967767170760407402642,000,000$
18Colin Miller0X100.007548797983818774507666726779720407303122,500,000$
Scratches
1Olli Maatta0X100.006049978488979978538473807278830407902911,935,000$
2Adam Larsson0X100.008050917888939578508068816979850407803125,000,000$
Farm Team
1Luke Glendening0X98.00844973765882777278746961718581040700351600,000$
2Lars Eller0X98.00784773677780797178717364708574040700351600,000$
3Taylor Raddysh0X99.00784283738078796365676571667280040690261700,000$
4Damien Brunner0X100.00544083775682827067697257739075040680381900,000$
5Sam Lafferty0X100.00905469727976756172656569637871040680291500,000$
6Jack McBain (R)0X99.00904975747775836172646371646770040680241700,000$
7Kevin Roy0X100.00563878855076796460686666717960040670311575,000$
8Yanni Gourde0X99.00604073864580796572676965728065040670322900,000$
9Michael Pezzetta0X100.00986656647770786065646367627573040660263950,000$
10Nikita Alexandrov (R)0X100.00623577827169776069636271666862040660232900,000$
11Riley Tufte0X100.005655716395677560716161726072710406502611,000,000$
12Ryan Winterton (R)0X100.00564279768366746050565973636364040640203800,000$
13Nate Schmidt0X100.00584588767686876953756372638079040720321700,000$
14Thomas Harley (R)0X99.007450868086778572507365696564830407202211,250,000$
15Isaak Phillips (R)0X96.00755583768674836650696168616581040700222500,000$
16Samuel Bolduc (R)0X99.00715382709372806450636568616881040690232600,000$
17Connor Mackey0X100.006648418076707068507064636373670406702721,667,000$
18Guillaume Brisebois0X100.00563786885067666450616065647265040650261700,000$
19Tim Gettinger0X100.00745278639069745968586170617273040650263600,000$
TEAM AVERAGE99.5673478079758183716573707069767504072
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
1Jeremy Swayman099.00828287848483848586838271630408002542,000,000$
2Philipp Grubauer0100.00847275808382838383828181660407803212,500,000$
Scratches
Farm Team
1Erik Kallgren098.0082707180747374757573747561040720273550,000$
2Oscar Dansk099.0068565684716970727069705859040670301950,000$
TEAM AVERAGE99.007970728278777879797777716204074
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
1Connor McDavidPhiladelphia FlyersC3347375511134423.08%36220.7012329000010050.00%9011002.2500001010
2Brendan GallagherPhiladelphia FlyersLW333630011584537.50%25719.2811238000011066.67%321012.0700000100
3J.T. MillerPhiladelphia FlyersLW3123-49511540225.00%25518.3901116000040040.00%511001.0900001000
4Brock BoeserPhiladelphia FlyersRW3022-200747230%04916.410110600000000%141000.8100000000
5Vladimir TarasenkoPhiladelphia FlyersRW32023555130266.67%06220.9410119000020050.00%401000.6400010000
6Elias PetterssonPhiladelphia FlyersC3112-2003231333.33%25618.8710116000050053.33%3051000.7100000000
7Jake BeanPhiladelphia FlyersD3022300102200%34715.8100001000000000%000000.8400000000
8Jakub ZborilPhiladelphia FlyersD3112-3207230033.33%36622.310000500009000%000000.6000000000
9Evgenii DadonovPhiladelphia FlyersLW31011406365216.67%03712.400000000003000%040000.5400000000
10Colin MillerPhiladelphia FlyersD2011220201000%23115.680000000016000%000000.6400000000
11Olli MaattaPhiladelphia FlyersD2011200210020%04321.790000500002000%007000.4600000000
12Michael RasmussenPhiladelphia FlyersC3011140655240%03913.1200000000030052.94%1700000.5100000000
13Luke SchennPhiladelphia FlyersD2011300630210%34020.340000000006000%000000.4900000001
14Jake LeschyshynPhiladelphia FlyersC3101-1205421050.00%13010.2700000000080061.54%2600000.6500000000
15Adam LarssonPhiladelphia FlyersD1000-300040100%22323.120000000000000%01200000000000
16Patrick KanePhiladelphia FlyersLW3000-100215230%0217.280000000000000%02000000000000
17Haydn FleuryPhiladelphia FlyersD3000300554220%06622.180000500006000%02200000000000
18Tyson BarriePhiladelphia FlyersD2000-700206000%14723.700000500000000%01100000000000
19Nathan BastianPhiladelphia FlyersRW3000-100523000%0227.400000000000000%00000000000000
20Morgan GeekiePhiladelphia FlyersRW3000120244120%13210.9000000000000066.67%31000000000000
Team Total or Average5413193213715936279293516.46%2589416.574598800001661052.51%1792418010.7200012111
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
1Philipp GrubauerPhiladelphia Flyers11000.9232.00600022615100012000
2Jeremy SwaymanPhiladelphia Flyers20110.8684.391230096827000021000
Team Total or Average31110.8833.611830011944210033000


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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Adam Larsson (1 Way Contract)Philadelphia FlyersD311992-11-12SWENo209 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm5,000,000$5,000,000$0$0$No5,000,000$--------5,000,000$--------No--------Link / NHL Link
Brendan Gallagher (1 Way Contract)Philadelphia FlyersLW321992-05-06CANNo183 Lbs5 ft9NoNoFree Agent2024-08-23NoNo22024-10-01FalseFalsePro & Farm2,950,000$2,950,000$0$0$No2,950,000$--------2,950,000$--------No--------Link / NHL Link
Brock Boeser (1 Way Contract)Philadelphia FlyersRW271997-02-25USANo207 Lbs6 ft1NoNoTrade2024-04-01NoNo2FalseFalsePro & Farm8,280,333$8,280,333$0$0$No8,280,333$--------8,280,333$--------No--------Link / NHL Link
Colin Miller (1 Way Contract)Philadelphia FlyersD311992-10-29CANNo201 Lbs6 ft1NoNoTrade2024-03-16NoNo2FalseFalsePro & Farm2,500,000$2,500,000$0$0$No2,500,000$--------2,500,000$--------No--------Link / NHL Link
Connor McDavid (1 Way Contract)Philadelphia FlyersC271997-01-13CANNo194 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm5,333,333$5,333,333$0$0$No5,333,333$--------5,333,333$--------No--------Link / NHL Link
Elias Pettersson (1 Way Contract)Philadelphia FlyersC251998-11-12SWENo185 Lbs6 ft2YesNoFree AgentNoNo42024-09-18FalseFalsePro Only6,650,000$6,650,000$0$0$No6,650,000$6,650,000$6,650,000$------6,650,000$6,650,000$6,650,000$------YesYesYes------Link / NHL Link
Evgenii Dadonov (1 Way Contract)Philadelphia FlyersLW351989-03-12RUSNo185 Lbs5 ft11NoNoFree Agent2024-03-06NoNo22024-09-23FalseFalsePro & Farm3,650,500$3,650,500$0$0$No3,650,500$--------3,650,500$--------No--------Link / NHL Link
Haydn FleuryPhiladelphia FlyersD271996-07-08CANNo207 Lbs6 ft3NoNoFree AgentNoNo32024-10-01FalseFalsePro & Farm1,950,000$1,950,000$0$0$No1,950,000$1,950,000$-------1,950,000$1,950,000$-------NoNo-------Link / NHL Link
J.T. Miller (1 Way Contract)Philadelphia FlyersLW311993-03-14USANo218 Lbs6 ft1YesNoFree Agent2024-02-14NoNo12024-09-23FalseFalsePro Only4,850,000$4,850,000$0$0$No---------------------------Link / NHL Link
Jake BeanPhiladelphia FlyersD261998-06-09CANNo176 Lbs6 ft1NoNoFree Agent2024-06-19NoNo42024-10-01FalseFalsePro & Farm2,000,000$2,000,000$0$0$No2,000,000$2,000,000$2,000,000$------2,000,000$2,000,000$2,000,000$------NoNoNo------Link / NHL Link
Jake LeschyshynPhiladelphia FlyersC251999-03-10USANo195 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------NHL Link
Jakub ZborilPhiladelphia FlyersD271997-02-21CZENo201 Lbs6 ft1NoNoFree Agent2024-06-19NoNo32024-10-01FalseFalsePro & Farm1,935,000$1,935,000$0$0$No1,935,000$1,935,000$-------1,935,000$1,935,000$-------NoNo-------NHL Link
Jeremy Swayman (1 Way Contract)Philadelphia FlyersG251998-11-24USANo194 Lbs6 ft3NoNoFree Agent2024-08-27NoNo42024-10-01FalseFalsePro & Farm2,000,000$2,000,000$0$0$No2,000,000$2,000,000$2,000,000$------2,000,000$2,000,000$2,000,000$------NoNoNo------Link / NHL Link
Luke SchennPhiladelphia FlyersD341989-11-02CANNo225 Lbs6 ft2NoNoFree Agent2024-06-19NoNo12024-10-15FalseFalsePro & Farm1,350,000$1,350,000$0$0$No---------------------------Link / NHL Link
Michael RasmussenPhiladelphia FlyersC251999-04-17CANNo212 Lbs6 ft6NoNoFree Agent2024-08-27NoNo42024-10-01FalseFalsePro & Farm1,850,000$1,850,000$0$0$No1,850,000$1,850,000$1,850,000$------1,850,000$1,850,000$1,850,000$------NoNoNo------Link / NHL Link
Morgan GeekiePhiladelphia FlyersRW251998-07-20CANNo201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm800,000$800,000$0$0$No---------------------------Link / NHL Link
Nathan BastianPhiladelphia FlyersRW261997-12-06CANNo205 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm600,000$600,000$0$0$No600,000$--------600,000$--------No--------Link / NHL Link
Olli MaattaPhiladelphia FlyersD291994-08-22FINNo209 Lbs6 ft2NoNoFree AgentNoNo12024-10-01FalseFalsePro & Farm1,935,000$1,935,000$0$0$No---------------------------Link / NHL Link
Patrick Kane (1 Way Contract)Philadelphia FlyersLW351988-11-19USANo176 Lbs5 ft10NoNoFree Agent2024-06-04NoNo12024-09-27FalseFalsePro & Farm800,000$800,000$0$0$No---------------------------Link / NHL Link
Philipp GrubauerPhiladelphia FlyersG321991-11-25DEUNo187 Lbs6 ft1NoNoTrade2024-03-01NoNo1FalseFalsePro & Farm2,500,000$2,500,000$0$0$No---------------------------Link / NHL Link
Tyson Barrie (1 Way Contract)Philadelphia FlyersD321991-07-26CANNo196 Lbs5 ft11NoNoFree AgentNoNo12024-09-23FalseFalsePro & Farm5,005,000$5,005,000$0$0$No---------------------------Link / NHL Link
Vladimir Tarasenko (1 Way Contract)Philadelphia FlyersRW321991-12-13RUSNo225 Lbs6 ft0NoNoFree Agent2024-05-29NoNo12024-09-15FalseFalsePro & Farm5,500,500$5,500,500$0$0$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2229.05200 Lbs6 ft12.053,092,712$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
68,039,666$44,699,166$16,385,000$12,500,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1J.T. MillerConnor McDavidVladimir Tarasenko40014
2Brendan GallagherElias PetterssonBrock Boeser31014
3Evgenii DadonovMichael RasmussenMorgan Geekie20023
4Patrick KaneJake LeschyshynNathan Bastian9041
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakub ZborilTyson Barrie40041
2Haydn FleuryLuke Schenn30041
3Jake BeanColin Miller20041
4Haydn FleuryLuke Schenn10041
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1J.T. MillerConnor McDavidVladimir Tarasenko60005
2Brendan GallagherElias PetterssonBrock Boeser40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Tyson BarrieJake Bean60005
2Haydn FleuryJakub Zboril40005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jake LeschyshynJ.T. Miller60050
2Michael RasmussenVladimir Tarasenko40050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Colin MillerJakub Zboril60050
2Luke SchennHaydn Fleury40050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Michael Rasmussen60041Luke SchennJakub Zboril60050
2Connor McDavid40041Tyson BarrieHaydn Fleury40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Connor McDavidBrock Boeser60014
2Michael RasmussenVladimir Tarasenko40014
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Tyson BarrieColin Miller60014
2Jakub ZborilHaydn Fleury40014
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brendan GallagherConnor McDavidVladimir TarasenkoJake BeanTyson Barrie
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
J.T. MillerElias PetterssonMorgan GeekieHaydn FleuryJakub Zboril
Extra Forwards
Normal PowerPlayPenalty Kill
Elias Pettersson, Connor McDavid, Michael RasmussenEvgenii Dadonov, Michael RasmussenElias Pettersson
Extra Defensemen
Normal PowerPlayPenalty Kill
Luke Schenn, Jakub Zboril, Haydn FleuryColin MillerJake Bean, Jakub Zboril
Penalty Shots
Connor McDavid, Elias Pettersson, Brock Boeser, Brendan Gallagher, J.T. Miller
Goalie
#1 : Jeremy Swayman, #2 : Philipp Grubauer
Custom OT Lines Forwards
Connor McDavid, Elias Pettersson, Brock Boeser, J.T. Miller, Brendan Gallagher, Michael Rasmussen, Michael Rasmussen, Morgan Geekie, Patrick Kane, Jake Leschyshyn, Vladimir Tarasenko
Custom OT Lines Defensemen
Tyson Barrie, Haydn Fleury, Jake Bean, Jakub Zboril, Colin Miller


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
1Boston Bruins1000010034-11000010034-10000000000010.333358002100271110423954295120.00%2150.00%0315754.39%377251.39%265052.00%26151991810
2Pittsburgh Penguins1010000015-41010000015-40000000000000.00012300010023896029132628200.00%8187.50%0315754.39%377251.39%265052.00%2212208178
3Quebec Nordiques11000000927000000000001100000092731.00091221001350296101302677366350.00%10100.00%0315754.39%377251.39%265052.00%2112188199
Total31100100131122010010049-51100000092740.4441319320035507925292329425379313430.77%11281.82%0315754.39%377251.39%265052.00%704057265528
_Since Last GM Reset31100100131122010010049-51100000092740.4441319320035507925292329425379313430.77%11281.82%0315754.39%377251.39%265052.00%704057265528
_Vs Conference31100100131122010010049-51100000092740.4441319320035507925292329425379313430.77%11281.82%0315754.39%377251.39%265052.00%704057265528
_Vs Division31100100131122010010049-51100000092740.4441319320035507925292329425379313430.77%11281.82%0315754.39%377251.39%265052.00%704057265528

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
34L1131932799425379300
All Games
GPWLOTWOTL SOWSOLGFGA
31101001311
Home Games
GPWLOTWOTL SOWSOLGFGA
201010049
Visitor Games
GPWLOTWOTL SOWSOLGFGA
110000092
Last 10 Games
WLOTWOTL SOWSOL
110100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
13430.77%11281.82%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
25292323550
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
315754.39%377251.39%265052.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
704057265528


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
12Boston Bruins4Philadelphia Flyers3LXBoxScore
315Philadelphia Flyers9Quebec Nordiques2WBoxScore
527Pittsburgh Penguins5Philadelphia Flyers1LBoxScore
738Toronto Maple Leafs-Philadelphia Flyers-
950Philadelphia Flyers-Montreal Canadiens-
1163Philadelphia Flyers-Boston Bruins-
1374Quebec Nordiques-Philadelphia Flyers-
1585Philadelphia Flyers-Pittsburgh Penguins-
1797Philadelphia Flyers-Toronto Maple Leafs-
19111Montreal Canadiens-Philadelphia Flyers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity59404860198039601260
Ticket Price93523225188
Attendance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
3 0 - 0.00% 0$0$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
0$ 70,139,666$ 0$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 16 0$ 0$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
0$ 127,565,107$ 127,565,107$



Depth Chart

Left WingCenterRight Wing
Brendan GallagherAGE:32PO:0OV:79
J.T. MillerAGE:31PO:0OV:75
Evgenii DadonovAGE:35PO:0OV:73
Patrick KaneAGE:35PO:0OV:70
Luke GlendeningAGE:35PO:0OV:70
Damien BrunnerAGE:38PO:0OV:68
Michael PezzettaAGE:26PO:0OV:66
Riley TufteAGE:26PO:0OV:65
Connor McDavidAGE:27PO:0OV:84
Elias PetterssonAGE:25PO:0OV:82
Michael RasmussenAGE:25PO:0OV:75
Lars EllerAGE:35PO:0OV:70
Jake LeschyshynAGE:25PO:0OV:70
Jack McBain (R)AGE:24PO:0OV:68
Nikita Alexandrov (R)AGE:23PO:0OV:66
Ryan Winterton (R)AGE:20PO:0OV:64
Brock BoeserAGE:27PO:0OV:80
Vladimir TarasenkoAGE:32PO:0OV:76
Morgan GeekieAGE:25PO:0OV:72
Taylor RaddyshAGE:26PO:0OV:69
Nathan BastianAGE:26PO:0OV:68
Sam LaffertyAGE:29PO:0OV:68
Kevin RoyAGE:31PO:0OV:67
Yanni GourdeAGE:32PO:0OV:67
Tim GettingerAGE:26PO:0OV:65

Defense #1Defense #2Goalie
Olli MaattaAGE:29PO:0OV:79
Adam LarssonAGE:31PO:0OV:78
Haydn FleuryAGE:27PO:0OV:77
Tyson BarrieAGE:32PO:0OV:77
Jakub ZborilAGE:27PO:0OV:75
Luke SchennAGE:34PO:0OV:75
Jake BeanAGE:26PO:0OV:74
Colin MillerAGE:31PO:0OV:73
Nate SchmidtAGE:32PO:0OV:72
Thomas Harley (R)AGE:22PO:0OV:72
Isaak Phillips (R)AGE:22PO:0OV:70
Samuel Bolduc (R)AGE:23PO:0OV:69
Connor MackeyAGE:27PO:0OV:67
Guillaume BriseboisAGE:26PO:0OV:65
Jeremy SwaymanAGE:25PO:0OV:80
Philipp GrubauerAGE:32PO:0OV:78
Erik KallgrenAGE:27PO:0OV:72
Oscar DanskAGE:30PO:0OV:67

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
ProspectTeam NameDraft YearOverall PickInformationLast Trade DateLink
0x LTCsPhiladelphia Flyers00
0x RFA Tag (Connor McDavid Y26)Philadelphia Flyers00
0x TC PTSPhiladelphia Flyers00
1x Match 10x Consecutive Road Game Income (NSHL24)Philadelphia Flyers00
20x POS Changes NSHL24Philadelphia Flyers00
Aleksei KolosovPhiladelphia Flyers2149Link
Alexis BernierPhiladelphia Flyers24115Link
Andrew GibsonPhiladelphia Flyers2365Link
Brandon CoePhiladelphia Flyers2095
Calle OdeliusPhiladelphia Flyers2282Link
Christian KyrouPhiladelphia Flyers2266Link
Cole HutsonPhiladelphia Flyers2441Link
Cole O'HaraPhiladelphia Flyers22149Link
Cole SpicerPhiladelphia Flyers22128Link
Conner RoulettePhiladelphia Flyers21137Link
Elias Pettersson (D)Philadelphia Flyers22113Link
Erik PortilloPhiladelphia Flyers1961
Filip JohanssonPhiladelphia Flyers1866
Graeme ClarkPhiladelphia Flyers2962
Hunter JonesPhiladelphia Flyers1996Link
Ivan MorozovPhiladelphia Flyers1897
Ivan ZhigalovPhiladelphia Flyers2287Link
Jesse KiiskinenPhiladelphia Flyers2370Link
John FarinacciPhiladelphia Flyers1958Link
Kim SaarinenPhiladelphia Flyers24139Link
Kirill ZarubinPhiladelphia Flyers24128Link
Lucas PetterssonPhiladelphia Flyers2437Link
Maxim BarbashevPhiladelphia Flyers22153Link
Nathaniel DayPhiladelphia Flyers23153Link
Oliver KapanenPhiladelphia Flyers21122Link
Patrick MoynihanPhiladelphia Flyers1984
Quentin MillerPhiladelphia Flyers23138Link
Redmond SavagePhiladelphia Flyers21140Link
Rieger LorenzPhiladelphia Flyers2255Link
Ruslan KhazheyevPhiladelphia Flyers23143Link
Ryan WintertonPhiladelphia Flyers2192Link
Ryder DonovanPhiladelphia Flyers19110
Samuel HeleniusPhiladelphia Flyers2148Link
Samuel HonzekPhiladelphia Flyers2324Link
Samuel SavoiePhiladelphia Flyers22107Link
Sean FarrellPhiladelphia Flyers20119
Terik ParascakPhiladelphia Flyers2422Link
Tomas LavoiePhiladelphia Flyers24149Link
Ty SmilanicPhiladelphia Flyers2074
Tyler BrennanPhiladelphia Flyers2279Link
Vladislav FirstovPhiladelphia Flyers1944
William StromgrenPhiladelphia Flyers2143Link
Zack OstapchukPhiladelphia Flyers2168Link

Draft Picks

Year R1R2R3R4R5R6R7
25
26
27
28
29
Conditional Draft Picks




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Philadelphia Flyers Trade History




No Injury or Suspension.


Philadelphia Flyers Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Philadelphia Flyers Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Philadelphia 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

Philadelphia Flyers Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Philadelphia Flyers Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA