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Flyers
GP: 5 | W: 1 | L: 4
GF: 14 | GA: 18 | PP%: 17.86% | PK%: 80.00%
GM : Libre | Morale : 41 | Team Overall : 66

Game Center
Flyers
1-4-0, 2pts
3
FINAL
4 Penguins
8-8-0, 16pts
Team Stats
OTL1StreakL2
1-2-0Home Record6-2-0
0-2-0Home Record2-6-0
1-2-2Last 10 Games3-5-2
2.80Goals Per Game2.94
3.60Goals Against Per Game3.25
17.86%Power Play Percentage17.31%
80.00%Penalty Kill Percentage81.67%
Penguins
8-8-0, 16pts
2
FINAL
1 Flyers
1-4-0, 2pts
Team Stats
L2StreakOTL1
6-2-0Home Record1-2-0
2-6-0Home Record0-2-0
3-5-2Last 10 Games1-2-2
2.94Goals Per Game2.80
3.25Goals Against Per Game3.60
17.31%Power Play Percentage17.86%
81.67%Penalty Kill Percentage80.00%
Team Leaders
Goals
Seth Jarvis
3
Assists
Seth Jarvis
6
Points
Seth Jarvis
9
Plus/Minus
Sam Steel
3
Wins
Alex Lyon
1
Save Percentage
Alex Lyon
0.895

Team Stats
Goals For
14
2.80 GFG
Shots For
168
33.60 Avg
Power Play Percentage
17.9%
5 GF
Offensive Zone Start
43.3%
Goals Against
18
3.60 GAA
Shots Against
167
33.40 Avg
Penalty Kill Percentage
80.0%%
3 GA
Defensive Zone Start
37.0%
Team Info

General ManagerLibre
CoachDave Hakstol
DivisionMétropolitaine
ConferenceEst
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,767
Season Tickets2,400


Roster Info

Pro Team36
Farm Team21
Contract Limit57 / 60
Prospects24


Team History

This Season1-4
History90-57-13 (0.563%)
Playoff Appearances0
Playoff Record (W-L) -
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
1Seth Jarvis (R)X100.007546929376887987618782782588604971780231894,167$
2Sam Steel (R)X100.007352838077848576747973732583775376730271800,000$
3Mikey Eyssimont (R)X100.008075607576817676497368702578644473692282750,000$
4Nathan Walker (R)X100.007852827573818270596666692574806576680313700,000$
5Sergei KalininX100.006040847074717476506759735992892174670343700,000$
6Mikhail Vorobyev (R)X100.002914996974627778687572686277755174670281700,000$
7Alexander Volkov (R)X100.004611996873687973436971697280755870660272800,000$
8Tom Kuhnhackl (R)X100.005631956775807260536056825890804175650331700,000$
9Mikhail Maltsev (R)X100.007032996980806761566967642556565975640273575,000$
10Pavel Dorofeyev (R)X100.006244797674746970496565632572574969640241925,000$
11John Beecher (R)X100.007548737081746666716162672566525014631243925,000$
12Jordan Harris (R)X100.006547818280857673407166752578614775712242842,500$
13Jacob Larsson (R)X100.006738956675688173178075782574745074700282800,000$
14Joel Hanley (R)X100.006859767473828268407065722572857172690343700,000$
15Nicolas Beaudin (R)X100.005828997570506879257977672574777068680252800,000$
16Aaron Ness (R)X100.003610996971717754225647795496854156650352600,000$
17Trevor Carrick (R)X100.004234997074687559305650735482774914640303575,000$
Scratches
1Adam Gaudette (R)X100.0067339977725385888188826472817939747302811,250,000$
2Gerald Mayhew (R)X100.008265687372666557506561626592875519630322575,000$
3Dalton Smith (R)X100.005140906476677563486157695987805419620322575,000$
4Jonas Rondbjerg (R)X100.005841767078766466416260652566575020620261766,667$
5Tanner Laczynski (R)X100.006132907474747060615454662572644919612282762,500$
6Marat Khusnutdinov (R)X100.006140707071766064606261652565515011611223925,000$
7Samuel Fagemo (R)X100.006143717164656366455967592568525020600251795,000$
8Olle Lycksell (R)X100.005841717058636164436359592564525020592253787,500$
9Sammy Walker (R)X100.005543726856676665446459582564525020592263855,000$
10Garrett Wilson (R)X100.006032816775478153575148735980673620580343575,000$
11Max Willman (R)X100.005643726564696663425956582564615020580301750,000$
12Jackson Cates (R)X100.006040736868646562565756602564554820581272775,000$
13Jacob Peterson (R)X100.005842736862656262616057582563525020582252842,500$
14Klas DahlbeckX100.005439966746470972571658858808028737103331,250,000$
15John Gilmour (R)X100.004831996873777759305755645588824120630322575,000$
16Louie Belpedio (R)X100.005851606774746662405657642576755519620292575,000$
TEAM AVERAGE100.00603984717271726848666368387669494665
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
1Jonas Johansson (R)100.008088818682969998858175828653768502911,500,000$
2Alex Lyon (R)100.008483838285898989908075869147768403221,000,000$
Scratches
1Samuel Ersson (R)100.00817778778386838585803077565122792252859,167$
TEAM AVERAGE100.0082838182839090918780608278505883
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dave Hakstol9089948985801CAN5515,000,000$


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
1Seth JarvisFlyers (PHI)RW53691207101931315.79%210921.860443260000121055.00%2072001.6500000110
2Sam SteelFlyers (PHI)C51453401113172105.88%19418.81022216000070050.00%10233001.0600000100
3Nathan WalkerFlyers (PHI)LW5213-100158123716.67%19418.81101418000040033.33%611000.6400000001
4Mikey EyssimontFlyers (PHI)LW5213115512861533.33%39719.46101226000120044.44%920000.6200010001
5Sergei KalininFlyers (PHI)RW5112-2201111102210.00%28817.66011018000000050.00%621000.4500000000
6Mikael BacklundFlyersC1022100141120%22121.4500005000020062.50%2400001.8600000001
7Adam GaudetteFlyers (PHI)C3202-30041283625.00%16120.42202413000080047.14%7020000.6500000001
8Aaron NessFlyers (PHI)D3022020130010%44314.510000000000000%001000.9200000000
9Jordan HarrisFlyers (PHI)D5022-10010105350%312124.35011021000011000%025000.3300000000
10Klas DahlbeckFlyers (PHI)D2101-1000264216.67%54924.8810121200004000%000000.4000000000
11Jacob LarssonFlyers (PHI)D5011-3008105200%511322.76000216000010000%013000.1800000000
12Trevor CarrickFlyers (PHI)D3011000122100%34414.860000000000000%002000.4500000000
13Alexander VolkovFlyers (PHI)RW5101-30025102210.00%36412.970000000000000%532000.3100000000
14Mikhail MaltsevFlyers (PHI)LW5101-1006694411.11%25110.3400000000000033.33%311000.3900000000
15Pierre-Olivier JosephFlyersD2011-160867210%04824.1801131400000000%022000.4100000000
16Pavel DorofeyevFlyers (PHI)LW5011-5005410270%1479.410000000001000%020000.4200000000
17Mikhail VorobyevFlyers (PHI)C5000-20001218530%17214.5400008000010048.61%721100000000000
18Tom KuhnhacklFlyers (PHI)RW5000-100534030%1438.610000000004000%10000000000000
19Joel HanleyFlyers (PHI)D5000-220975210%710220.4400001400007000%01300000000000
20Nicolas BeaudinFlyers (PHI)D5000-40041210330%49619.290001800009000%00000000000000
21Tanner LaczynskiFlyers (PHI)C1000-100020010%066.7300000000000050.00%20000000000000
22John BeecherFlyers (PHI)C4000-520333130%1399.8400000000000046.15%260000000000000
23Marat KhusnutdinovFlyers (PHI)C1000000211100%077.2300000000000040.00%50000000000000
Team Total or Average90142337-3035512515416847818.33%52151816.885914232240001881048.43%3513027000.4900010214
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
1Alex LyonFlyers (PHI)21100.8953.031190065725000023000
2Jonas JohanssonFlyers (PHI)30120.8913.83188001211043000032000
Team Total or Average51220.8923.5130800181676800055000


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
Aaron NessFlyers (PHI)D351990-05-18USAYes183 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------
Adam GaudetteFlyers (PHI)C281996-10-03USAYes170 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$0$0$No---------------------------
Alex LyonFlyers (PHI)G321992-12-09USAYes196 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$-----------------No--------
Alexander VolkovFlyers (PHI)RW271997-08-02RUSYes192 Lbs6 ft1NoNoTrade2024-01-28NoNo2FalseFalsePro & Farm800,000$0$0$No800,000$-----------------No--------
Dalton SmithFlyers (PHI)LW321992-06-30CANYes205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm575,000$0$0$No575,000$--------575,000$--------No--------
Garrett WilsonFlyers (PHI)RW341991-03-16CANYes199 Lbs6 ft2NoNoFree AgentNoNo32024-10-06FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Gerald MayhewFlyers (PHI)RW321992-12-31USAYes170 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm575,000$0$0$No575,000$--------575,000$--------No--------
Jackson CatesFlyers (PHI)C271997-09-28USAYes190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Jacob LarssonFlyers (PHI)D281997-04-29SWEYes197 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$-----------------No--------
Jacob PetersonFlyers (PHI)LW251999-07-19SWEYes170 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm842,500$0$0$No842,500$--------842,500$--------No--------
Joel HanleyFlyers (PHI)D341991-06-08CANYes186 Lbs5 ft11NoNoFree AgentNoNo32024-10-06FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------
John BeecherFlyers (PHI)C242001-04-05USAYes216 Lbs6 ft3NoNoAssign ManuallyNoNo32024-08-17FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------
John GilmourFlyers (PHI)D321993-05-17CANYes190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm575,000$0$0$No575,000$--------575,000$--------No--------
Jonas JohanssonFlyers (PHI)G291995-09-19SWEYes220 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------
Jonas RondbjergFlyers (PHI)LW261999-03-31DENYes202 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm766,667$0$0$No---------------------------
Jordan HarrisFlyers (PHI)D242000-07-07USAYes189 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm842,500$0$0$No842,500$--------842,500$--------No--------
Klas DahlbeckFlyers (PHI)D331991-07-06SWENo198 Lbs6 ft2NoNoFree AgentNoNo32024-10-06FalseFalsePro & Farm1,250,000$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Louie BelpedioFlyers (PHI)D291996-05-14USAYes196 Lbs5 ft11NoNoN/ANoNo22024-09-08FalseFalsePro & Farm575,000$0$0$No575,000$--------575,000$--------No--------
Marat KhusnutdinovFlyers (PHI)C222002-07-17RUSYes176 Lbs5 ft11NoNoAssign ManuallyNoNo32024-08-17FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------
Max WillmanFlyers (PHI)C301995-02-13USAYes195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Mikey EyssimontFlyers (PHI)LW281996-09-09USAYes201 Lbs6 ft0NoNoTrade2024-01-28NoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------
Mikhail MaltsevFlyers (PHI)LW271998-03-12RUSYes220 Lbs6 ft3NoNoTrade2024-01-28NoNo32024-09-08FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Mikhail VorobyevFlyers (PHI)C281997-01-05RUSYes194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------
Nathan WalkerFlyers (PHI)LW311994-02-07GBRYes187 Lbs5 ft9NoNoN/ANoNo32024-09-08FalseFalsePro & Farm700,000$0$0$No700,000$700,000$----------------NoNo-------
Nicolas BeaudinFlyers (PHI)D251999-10-07CANYes168 Lbs5 ft11NoNoTrade2024-01-28NoNo2FalseFalsePro & Farm800,000$0$0$No800,000$-----------------No--------
Olle LycksellFlyers (PHI)C251999-08-24SWEYes176 Lbs5 ft11NoNoAssign ManuallyNoNo32024-08-25FalseFalsePro & Farm787,500$0$0$No787,500$787,500$-------787,500$787,500$-------NoNo-------
Pavel DorofeyevFlyers (PHI)LW242000-10-26RUSYes194 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------
Sam SteelFlyers (PHI)C271998-02-03CANYes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------
Sammy WalkerFlyers (PHI)RW261999-06-07USAYes174 Lbs5 ft10NoNoAssign ManuallyNoNo32024-08-30FalseFalsePro & Farm855,000$0$0$No855,000$855,000$-------855,000$855,000$-------NoNo-------
Samuel ErssonFlyers (PHI)G251999-10-20SWEYes194 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm859,167$0$0$No859,167$--------859,167$--------No--------
Samuel FagemoFlyers (PHI)LW252000-03-14SWEYes200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm795,000$0$0$No---------------------------
Sergei KalininFlyers (PHI)RW341991-03-17RUSNo191 Lbs6 ft3NoNoFree AgentNoNo32024-10-06FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Seth JarvisFlyers (PHI)RW232002-02-01CANYes175 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm894,167$0$0$No---------------------------
Tanner LaczynskiFlyers (PHI)C281997-06-01USAYes190 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------762,500$--------No--------
Tom KuhnhacklFlyers (PHI)RW331992-01-21GERYes196 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------
Trevor CarrickFlyers (PHI)D301994-07-04CANYes189 Lbs6 ft2NoNoTrade2024-12-22NoNo32024-09-18FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3628.39191 Lbs6 ft12.03799,444$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mikey EyssimontSeth Jarvis35122
2Nathan WalkerSam SteelSergei Kalinin35122
3Mikhail MaltsevMikhail VorobyevAlexander Volkov25122
4Pavel DorofeyevJohn BeecherTom Kuhnhackl5122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan HarrisJacob Larsson35122
2Joel HanleyNicolas Beaudin35122
3Aaron NessTrevor Carrick30122
4Jordan HarrisJacob Larsson0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mikey EyssimontSeth Jarvis60122
2Nathan WalkerSam SteelSergei Kalinin40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan HarrisJacob Larsson60122
2Joel HanleyNicolas Beaudin40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Seth Jarvis60122
2Sam SteelMikey Eyssimont40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan HarrisJacob Larsson60122
2Joel HanleyNicolas Beaudin40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Seth Jarvis60122Jordan HarrisJacob Larsson60122
240122Joel HanleyNicolas Beaudin40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Seth Jarvis60122
2Sam SteelMikey Eyssimont40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan HarrisJacob Larsson60122
2Joel HanleyNicolas Beaudin40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Mikey EyssimontSeth JarvisJordan HarrisJacob Larsson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mikey EyssimontSeth JarvisJordan HarrisJacob Larsson
Extra Forwards
Normal PowerPlayPenalty Kill
Alexander Volkov, Mikhail Vorobyev, Tom KuhnhacklAlexander Volkov, Mikhail VorobyevTom Kuhnhackl
Extra Defensemen
Normal PowerPlayPenalty Kill
Aaron Ness, Trevor Carrick, Joel HanleyAaron NessTrevor Carrick, Joel Hanley
Penalty Shots
Seth Jarvis, , Sam Steel, Mikey Eyssimont, Nathan Walker
Goalie
#1 : Jonas Johansson, #2 : Alex Lyon
Custom OT Lines Forwards
Seth Jarvis, , Sam Steel, Mikey Eyssimont, Nathan Walker, Sergei Kalinin, Alexander Volkov, Mikhail Vorobyev, Tom Kuhnhackl, Mikhail Maltsev
Custom OT Lines Defensemen
Jordan Harris, Jacob Larsson, Joel Hanley, Nicolas Beaudin, Aaron Ness


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
1Penguins514000001418-43120000089-12020000069-320.2001423370056301686240633167523512528517.86%15380.00%07615250.00%6513050.00%296942.03%11164110468642
Total514000001418-43120000089-12020000069-320.2001423370056301686240633167523512528517.86%15380.00%07615250.00%6513050.00%296942.03%11164110468642
_Since Last GM Reset514000001418-43120000089-12020000069-320.2001423370056301686240633167523512528517.86%15380.00%07615250.00%6513050.00%296942.03%11164110468642
_Vs Conference514000001418-43120000089-12020000069-320.2001423370056301686240633167523512528517.86%15380.00%07615250.00%6513050.00%296942.03%11164110468642
_Vs Division514000001418-43120000089-12020000069-320.2001423370056301686240633167523512528517.86%15380.00%07615250.00%6513050.00%296942.03%11164110468642

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
52OTL1142337168167523512500
All Games
GPWLOTWOTL SOWSOLGFGA
51400001418
Home Games
GPWLOTWOTL SOWSOLGFGA
312000089
Visitor Games
GPWLOTWOTL SOWSOLGFGA
202000069
Last 10 Games
WLOTWOTL SOWSOL
120200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
28517.86%15380.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
62406335630
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
7615250.00%6513050.00%296942.03%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
11164110468642


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
14Penguins2Flyers3WR5BoxScore
312Penguins5Flyers4LXBoxScore
520Flyers3Penguins5LR5BoxScore
728Flyers3Penguins4LBoxScore
936Penguins2Flyers1LXR5BoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4525
Attendance5,3023,000
Attendance PCT88.37%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
38 2767 - 92.24% 141,116$423,347$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 2,878,001$ 2,878,001$ 5,000,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

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




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
1Adam Gaudette15860107167-71229340854710.97%77314519.911328415111294154.93%11.06512
2Sam Steel1584973122-1512330533245710.72%62266616.8887153321371354.56%10.9209
3Seth Jarvis794558103101513717037212.10%35166521.0913183156112810345.52%21.2404
4Mikey Eyssimont1624948972230344322228217.38%51309919.131517323910166334.91%00.6337
5Mikael Backlund76415192146216523327115.13%39158420.851218303802217462.16%11.1634

Flyers Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jonas Johansson90503150.9043.0251424025926931088421.0009
2Alex Lyon753722100.9122.814291602012273968330.82540
3Samuel Ersson103420.8694.5350300382901230000

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
198239290454127824731411717022211271252412212023201511222910027844472220858410110252075492182734256892954620132525321.03%1882686.17%51108198455.85%1089195755.65%726126257.53%1774104317767321416713
20823428047542782611741191501123150140104115130363112812179727845172930721049312276389290194758269390652520212254921.78%1853481.62%11092206752.83%1050201752.06%651123552.71%1765104718297251385688
Total Regular Season1647357081295556508488236320334427726512823725059512792433619755689514515015718819422528316461822177492526118351071403447710221.38%3736083.91%62200405154.31%2139397453.82%1377249755.15%353920913605145828021401
Playoff
Total Playoff00000000000000%0%0%0%0%000000

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

Flyers Goalies Stat Leaders (Play-Off)

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