Final/OT
COL6
TBL7
Final
BUF3
DAL2
Final
ARI1
VGK4
Final
DET1
PHI6
Final
MON3
STL5
Final/OT
LAK2
ANA1
Final
CGY2
MIN4
Full Scoreboard ¬Ľ
FlyersPhiladelphia Flyers
25-24-3, 53pts · 10th in Eastern Conference
Roster
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 # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Sidney Crosby0C100.00611486897199988897999053758289862180338,700,000$/3yrs
Jaden Schwartz0LW100.00711291866878878428848264257276796274285,350,000$/1yrs
Mikko Koivu0C100.00431286768094827796796764768386756272372,500,000$/1yrs
Travis Konecny (A)0LW/RW100.00542387886986997834778049256263746271235,500,000$/3yrs
Josh Bailey (C)0LW/RW100.00442191827490967862847238637880736270305,000,000$/3yrs
Anthony Beauvillier0C/LW100.00581099886884957541647657536666686269232,100,000$/5yrs
Tyson Jost0C/LW100.005089789717591754467714825585969626722950,000$/6yrs
Matthew Strome0LW100.0064427373817895747571636067454587626621775,000$/2yrs
Connor McMichael (R)0C100.0051358876687995766365765577404093626619925,000$/2yrs
Max Jones0LW100.0058128875787768623357555425474762625922863,333$/1yrs
Marcus Kallionkieli0C100.0050368872737595586044575167404093625819925,000$/2yrs
Nicolas Aube-Kubel0RW100.0048346769699083575051594959454561555824750,000$/4yrs
P.K. Subban0D96.00621870907699908325685780257882656276315,500,000$/3yrs
Mikhail Sergachev0D100.00641687888290947244696080255960646274223,000,000$/6yrs
Thomas Chabot0D100.00611585817599908725816380255959716274238,000,000$/3yrs
David Savard0D100.00651586798294996025555085757172656273294,250,000$/1yrs
Vince Dunn0D100.00512184877588947725645877255656656271232,750,000$/5yrs
Travis Sanheim0D100.00491192827294677125715480255758636169243,250,000$/5yrs
Scratches
Mitch Marner0RW100.004811918467969984539987676361628260772310,893,000$/3yrs
TEAM AVERAGE99.79551986827488907548716763476162735970
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Martin Jones099.0078919981798080808176876567666277302,000,000$/4yrs
Philipp Grubauer0100.0081668073867766818681845960786274283,333,333$/1yrs
Scratches
TEAM AVERAGE99.5080799077837973818479866264726276
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Babcock55729796999284CAN5342,500,000$
General Manager
Chris Cook
Player Stats
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 Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Mitch MarnerFlyersFlyers0RW51213253-1112051216711189.72%2421.53610161212021302333.33%2524427100.9706
2Jaden SchwartzFlyersFlyers0LW5225244946089180619913.89%2419.8976131040331332122.03%594825010.9506
3Sidney CrosbyFlyersFlyers0C52132336-171606816143948.07%2218.60189129101331256.11%10894018000.7404
4Travis KonecnyFlyersFlyers0LW/RW52171936312048199681268.54%1817.1424612100005127.78%544011010.8102
5Josh BaileyFlyersFlyers0LW/RW5214193314036133458310.53%1814.4716712000052036.36%22378000.8800
6Connor McMichaelFlyersFlyers0C5272229-162204465243810.77%2518.05281011900001041.69%1269511000.6212
7Mikhail SergachevFlyersFlyers0D527192623140879637367.29%9626.10134126000136100.00%02052000.3800
8Anthony BeauvillierFlyersFlyers0C/LW5211152615205012041659.17%1816.41314120000242230.91%1651823000.6100
9Mikko KoivuFlyersFlyers0C52811193100468940488.99%2514.8000012021290053.88%4771615000.4924
10Thomas ChabotFlyersFlyers0D5231619-13120337643383.95%6820.45213120011129100.00%02743000.3600
11P.K. SubbanFlyersFlyers0D52117182196010610355360.97%8525.7104412600095000.00%02448000.2700
12Tyson JostFlyersFlyers0C/LW5298171002579275611.39%1511.75000000000136.00%25209000.5600
13Matthew StromeFlyersFlyers0LW52639-8140356616589.09%88.06000100002133.33%675000.4300
14David SavardFlyersFlyers0D52268-9140552318228.70%5414.541012500020000.00%0429000.2100
15Vince DunnFlyersFlyers0D52347-10280245516275.45%5815.11000100085000.00%0626000.1800
16Marcus KallionkieliFlyersFlyers0C52224-90013257148.00%138.40000600051033.14%17533000.1800
17Max JonesFlyersFlyers0LW52213-84024299196.90%88.43000800000050.00%1286000.1400
18Travis SanheimFlyersFlyers0D6011-20034410.00%518.3700000000000.00%003000.1800
19Nicolas Aube-KubelFlyersFlyers0RW101110020010.00%017.1200000000000.00%001001.1700
Team Total or Average890151243394-31266083917196259798.78%58416.452651771258549931201145.58%3605367363120.54324
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
1Martin JonesFlyers42192020.9192.842492401181460710210.917124111850
2Philipp GrubauerFlyers126410.8873.996622044390179200.846131141111
Team Total or Average54252430.9123.083155601621850889410.880255252961
Team Stats
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1FlyersFlames2110000074320.50071219001240651922240712112335240.00%60100.00%0565127044.49%619127748.47%33875644.71%42244317341655.6%10.8%94.4%105.1LUCKY
2FlyersKings2110000099020.50091726002250742723240642216322150.00%8537.50%0565127044.49%619127748.47%33875644.71%44274217331666.7%12.2%85.9%98.1FUN
3FlyersOilers2010100034-120.50034700011163192121276281236300.00%6266.67%1565127044.49%619127748.47%33875644.71%43254417341760.0%4.8%94.7%99.5DULL
4FlyersCanucks2020000036-300.0003580001205918251608133434400.00%20100.00%0565127044.49%619127748.47%33875644.71%41264716311433.3%5.1%92.6%97.7DULL
5FlyersGolden Knights1000000134-110.5003470002104011141293698125120.00%4250.00%0565127044.49%619127748.47%33875644.71%251420819950.0%7.5%88.9%96.4Unlucky
6FlyersAvalanche2020000069-300.00061016003210742519300691928315240.00%14471.43%0565127044.49%619127748.47%33875644.71%40244718321544.4%8.1%87.0%95.1Unlucky
7FlyersBlues21000001108230.75010142400244053922205722322356116.67%11281.82%1565127044.49%619127748.47%33875644.71%40204720371760.0%18.9%88.9%107.8FUN
8FlyersJets1100000064221.000611170020403671019034106137114.29%3166.67%0565127044.49%619127748.47%33875644.71%191123916862.5%16.7%88.2%104.9FUN
9FlyersCoyotes1100000053221.0005712001310459162003591025300.00%50100.00%0565127044.49%619127748.47%33875644.71%221320917862.5%11.1%91.4%102.5LUCKY
10FlyersDucks1100000042221.00048120011203815121102911619100.00%30100.00%0565127044.49%619127748.47%33875644.71%221320817866.7%10.5%93.1%103.6LUCKY
11FlyersCanadiens31200000716-920.3337121910511010030363409336245310110.00%12558.33%0565127044.49%619127748.47%33875644.71%65386425502535.3%7.0%82.8%89.8Unlucky
12FlyersSenators413000001018-820.25010162600352013451424101434422671815.56%11372.73%0565127044.49%619127748.47%33875644.71%84488735683537.5%7.5%87.4%94.9Unlucky
13FlyersWild2100001042241.0004610001111692126217691716414125.00%8187.50%0565127044.49%619127748.47%33875644.71%46264219351875.0%5.8%97.1%102.9DULL
14FlyersMaple Leafs413000001116-520.2501117280045201494749530140521856500.00%9277.78%0565127044.49%619127748.47%33875644.71%89578533643144.0%7.4%88.6%96.0Unlucky
15FlyersRangers522000101212060.600121830004521176596156418057249115213.33%12191.67%0565127044.49%619127748.47%33875644.71%1066311344854247.6%6.8%93.3%100.2DULL
16FlyersSabres1100000031221.0003580021003081480378419300.00%2150.00%0565127044.49%619127748.47%33875644.71%2314198179100.0%10.0%97.3%107.3LUCKY
17FlyersRed Wings31100010116540.6671117280033419435302841144414478337.50%7185.71%0565127044.49%619127748.47%33875644.71%64387026502561.5%11.7%94.7%106.4LUCKY
18FlyersLightning3120000079-220.333711180032209222323801123524477114.29%12191.67%0565127044.49%619127748.47%33875644.71%62376827482342.9%7.6%92.0%99.6DULL
19FlyersPanthers2110000055020.500581300131070242620075301642100.00%8275.00%1565127044.49%619127748.47%33875644.71%41244516321562.5%7.1%93.3%100.5DULL
20FlyersDevils31100010109140.667101626002342102273736610849185914428.57%8275.00%0565127044.49%619127748.47%33875644.71%65376728512546.2%9.8%91.7%101.5LUCKY
21FlyersBlue Jackets622011002018270.58320335300410511664358623213914611223521.74%23386.96%1565127044.49%619127748.47%33875644.71%12770134551045250.0%12.0%91.5%103.6LUCKY
_Vs Division19780112054531210.553548614000142314460617521421213688262128351601220.00%63985.71%2565127044.49%619127748.47%33875644.71%40423442917232215848.8%8.9%92.3%101.2Unlucky
_Vs Conference3412170113096110-14330.4859615324910313823511133463853761712154462105931041716.35%1042179.81%2565127044.49%619127748.47%33875644.71%73042975730257328647.0%8.6%90.9%99.6Unlucky
_Since Last GM Reset52192402142156165-9530.51015625140710445749717295265955944018516483509041492617.45%1743878.16%4565127044.49%619127748.47%33875644.71%1118658115846488143650.6%9.0%91.1%100.1Unlucky
Total52192402142156165-9530.51015625140710445749717295265955944018516483509041492617.45%1743878.16%4565127044.49%619127748.47%33875644.71%1118658115846488143650.6%9.0%91.1%100.1Unlucky

Puck Time
Offensive Zone 21
Neutral Zone 16
Defensive Zone 22
Puck Time
Offensive Zone Start 1270
Neutral Zone Start 756
Defensive Zone Start 1277
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1522
Faceoffs Lost 1781
Team Average Shots after League Average Shots after
1st Period 10.19.57
2nd Period 21.620.31
3rd Period 33.030.68
Overtime 33.831.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.80.64
2nd Period 1.91.65
3rd Period 2.92.67
Overtime 3.02.83
Even Strenght Goal 125
PP Goal 26
PK Goal 4
Empty Net Goal 1
Home Away
Win 1312
Lost 1113
Overtime Lost 12
PP Attempt 149
PP Goal 26
PK Attempt 174
PK Goal Against 38
Home
Shots For 33.3
Shots Against 35.6
Goals For 3.0
Goals Against 3.2
Hits 17.4
Shots Blocked 12.5
Pim 6.7
Cap Hit
Flyers
Projected Total Cap Hit82,289,666$
Projected Cap Space-789,666$
Retains And Buyout Cap Hit2,000,000$
Salary Cap To Date45,594,763$
Players In Salary Cap22
LTIR Players0
Player Name Pos Age Cap Hit 2012-2013 2013-2014 2014-2015 2015-2016 2016-2017 2017-2018 2018-2019 2019-2020
Anthony Beauvillier C/LW232,100,000$2,100,000$ 1,900,000$ 1,900,000$ 1,900,000$ 1,900,000$
Connor McMichael C19925,000$925,000$ 925,000$
David Savard D294,250,000$4,250,000$
Jaden SchwartzLW285,350,000$5,350,000$
Josh BaileyLW/RW305,000,000$5,000,000$5,000,000$5,000,000$
Marcus Kallionkieli C19925,000$925,000$ 925,000$
Martin Jones D302,000,000$2,000,000$ 2,000,000$ 2,000,000$ 2,000,000$
Matthew Strome LW21775,000$775,000$ 775,000$
Max Jones LW22863,333$863,333$
Mikhail Sergachev D223,000,000$3,000,000$ 3,000,000$ 3,000,000$ 3,000,000$ 3,000,000$ 3,000,000$
Mikko KoivuC372,500,000$2,500,000$
Mitch Marner RW2310,893,000$10,893,000$10,893,000$10,893,000$
Nicolas Aube-Kubel RW24750,000$750,000$ 750,000$ 750,000$ 750,000$
P.K. SubbanD315,500,000$5,500,000$5,500,000$5,500,000$
Philipp Grubauer LW/RW283,333,333$3,333,333$
Sidney CrosbyC338,700,000$8,700,000$8,700,000$8,700,000$
Thomas Chabot D238,000,000$8,000,000$8,000,000$8,000,000$
Travis Konecny LW/RW235,500,000$5,500,000$5,500,000$5,500,000$
Travis Sanheim D243,250,000$3,250,000$ 3,500,000$ 3,500,000$ 3,500,000$ 3,500,000$
Tyson Jost C/LW22950,000$950,000$ 950,000$ 950,000$ 950,000$ 950,000$ 950,000$
Vince Dunn D232,750,000$2,750,000$ 2,750,000$ 2,750,000$ 2,750,000$ 2,750,000$

Lines
Forward Lines


#0 - Travis Konecny


#0 - Connor McMichael


#0 - Anthony Beauvillier


#0 - Sidney Crosby


#0 - Jaden Schwartz


#0 - Tyson Jost


#0 - Mikko Koivu


#0 - Josh Bailey


#0 - Max Jones


#0 - Marcus Kallionkieli


#0 - Matthew Strome

Defensive Pairings


#0 - P.K. Subban


#0 - Mikhail Sergachev


#0 - Thomas Chabot


#0 - Travis Sanheim


#0 - David Savard


#0 - Vince Dunn

1st Power Play Unit


#0 - Travis Konecny


#0 - Connor McMichael


#0 - P.K. Subban


#0 - Mikhail Sergachev

2nd Power Play Unit


#0 - Anthony Beauvillier


#0 - Sidney Crosby


#0 - Josh Bailey


#0 - Thomas Chabot


#0 - David Savard

Goalies


#0 - Martin Jones


#0 - Philipp Grubauer

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
Alexander HoltzFlyersFlyers24
Brendan BrissonFlyersFlyers221
Jack DuganFlyersFlyers1
Jesper EliassonFlyersFlyers1
Lucas ElvenesFlyersFlyers1
Mavrik BourqueFlyersFlyers28
Nicolas RoyFlyersFlyers1
Ozzy WiesblattFlyersFlyers219
Robin SaloFlyersFlyers1
William WallinderFlyersFlyers217
Schedule
DateMatchup Result Detail
2020-08-18FlyersFlyers@FlyersDevilsFlyers2,Devils4RECAP
2020-08-19FlyersDucks@FlyersFlyersDucks2,Flyers4RECAP
2020-08-21FlyersPanthers@FlyersFlyersPanthers1,Flyers4RECAP
2020-08-24FlyersCanucks@FlyersFlyersCanucks2,Flyers1RECAP
2020-08-26FlyersFlyers@FlyersLightningFlyers3,Lightning4RECAP
2020-08-27FlyersFlyers@FlyersPanthersFlyers1,Panthers4RECAP
2020-08-29FlyersFlyers@FlyersBlue JacketsFlyers4,Blue Jackets5 (OT)RECAP
2020-08-31FlyersLightning@FlyersFlyersLightning1,Flyers3RECAP
2020-09-03FlyersRangers@FlyersFlyersRangers4,Flyers1RECAP
2020-09-05FlyersFlyers@FlyersRangersFlyers1,Rangers3RECAP
2020-09-07FlyersBlue Jackets@FlyersFlyersBlue Jackets1,Flyers2 (OT)RECAP
2020-09-09FlyersCanadiens@FlyersFlyersCanadiens4,Flyers2RECAP
2020-09-10FlyersFlyers@FlyersRed WingsFlyers1,Red Wings2RECAP
2020-09-12FlyersFlyers@FlyersDevilsFlyers3,Devils1RECAP
2020-09-14FlyersFlyers@FlyersWildFlyers2,Wild1RECAP
2020-09-16FlyersDevils@FlyersFlyersDevils4,Flyers5 (SO)RECAP
2020-09-19FlyersFlyers@FlyersBluesFlyers8,Blues5RECAP
2020-09-20FlyersFlyers@FlyersRed WingsFlyers4,Red Wings3 (SO)RECAP
2020-09-22FlyersCoyotes@FlyersFlyersCoyotes3,Flyers5RECAP
2020-09-24FlyersMaple Leafs@FlyersFlyersMaple Leafs1,Flyers5RECAP
2020-09-26FlyersFlyers@FlyersMaple LeafsFlyers3,Maple Leafs6RECAP
2020-09-28FlyersAvalanche@FlyersFlyersAvalanche6,Flyers4RECAP
2020-09-29FlyersFlyers@FlyersBlue JacketsFlyers2,Blue Jackets5RECAP
2020-10-01FlyersFlyers@FlyersAvalancheFlyers2,Avalanche3RECAP
2020-10-03FlyersGolden Knights@FlyersFlyersGolden Knights4,Flyers3 (SO)RECAP
2020-10-07FlyersFlyers@FlyersOilersFlyers2,Oilers1 (OT)RECAP
2020-10-08FlyersBlue Jackets@FlyersFlyersBlue Jackets3,Flyers4RECAP
2020-10-11FlyersSenators@FlyersFlyersSenators4,Flyers1RECAP
2020-10-13FlyersFlyers@FlyersSenatorsFlyers3,Senators2RECAP
2020-10-14FlyersSabres@FlyersFlyersSabres1,Flyers3RECAP
2020-10-16FlyersFlyers@FlyersCanadiensFlyers1,Canadiens9RECAP
2020-10-18FlyersFlyers@FlyersRangersFlyers4,Rangers3 (SO)RECAP
2020-10-20FlyersSenators@FlyersFlyersSenators6,Flyers4RECAP
2020-10-22FlyersWild@FlyersFlyersWild1,Flyers2 (SO)RECAP
2020-10-24FlyersFlyers@FlyersFlamesFlyers5,Flames1RECAP
2020-10-26FlyersRangers@FlyersFlyersRangers1,Flyers4RECAP
2020-10-28FlyersFlyers@FlyersLightningFlyers1,Lightning4RECAP
2020-10-29FlyersFlames@FlyersFlyersFlames3,Flyers2RECAP
2020-10-31FlyersFlyers@FlyersSenatorsFlyers2,Senators6RECAP
2020-11-03FlyersFlyers@FlyersBlue JacketsFlyers7,Blue Jackets1RECAP
2020-11-06FlyersRangers@FlyersFlyersRangers1,Flyers2RECAP
2020-11-07FlyersFlyers@FlyersKingsFlyers6,Kings3RECAP
2020-11-09FlyersKings@FlyersFlyersKings6,Flyers3RECAP
2020-11-12FlyersMaple Leafs@FlyersFlyersMaple Leafs4,Flyers1RECAP
2020-11-13FlyersFlyers@FlyersCanadiensFlyers4,Canadiens3RECAP
2020-11-16FlyersFlyers@FlyersJetsFlyers6,Jets4RECAP
2020-11-17FlyersBlue Jackets@FlyersFlyersBlue Jackets3,Flyers1RECAP
2020-11-19FlyersOilers@FlyersFlyersOilers3,Flyers1RECAP
2020-11-22FlyersFlyers@FlyersBluesFlyers2,Blues3 (SO)RECAP
2020-11-23FlyersFlyers@FlyersMaple LeafsFlyers2,Maple Leafs5RECAP
2020-11-24FlyersFlyers@FlyersCanucksFlyers2,Canucks4RECAP
2020-11-25FlyersRed Wings@FlyersFlyersRed Wings1,Flyers6RECAP
2020-11-27FlyersFlyers@FlyersRangers
2020-11-29FlyersDevils@FlyersFlyers
2020-12-03FlyersLightning@FlyersFlyers
2020-12-06FlyersFlyers@FlyersSabres
2020-12-07FlyersDevils@FlyersFlyers
2020-12-08FlyersLightning@FlyersFlyers
2020-12-10FlyersFlyers@FlyersGolden Knights
2020-12-11FlyersStars@FlyersFlyers
2020-12-14FlyersSabres@FlyersFlyers
2020-12-15FlyersFlyers@FlyersPanthers
2020-12-17FlyersFlyers@FlyersWild
2020-12-18FlyersJets@FlyersFlyers
2020-12-20FlyersFlyers@FlyersLightning
2020-12-22FlyersRed Wings@FlyersFlyers
2020-12-23FlyersDucks@FlyersFlyers
2020-12-25FlyersFlyers@FlyersSabres
2020-12-27FlyersDucks@FlyersFlyers
Trade Deadline --- Trades canít be done after this day is simulated!
2020-12-30FlyersFlyers@FlyersDucks
2021-01-01FlyersFlyers@FlyersDevils
2021-01-02FlyersCanadiens@FlyersFlyers
2021-01-03FlyersFlyers@FlyersBruins
2021-01-06FlyersBlues@FlyersFlyers
2021-01-09FlyersPanthers@FlyersFlyers
2021-01-11FlyersFlyers@FlyersPanthers
2021-01-14FlyersFlyers@FlyersCoyotes
2021-01-16FlyersBruins@FlyersFlyers
2021-01-19FlyersFlyers@FlyersBruins
2021-01-21FlyersPanthers@FlyersFlyers
2021-01-25FlyersBruins@FlyersFlyers
2021-01-26FlyersFlyers@FlyersStars

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
81,314,666$ 2,000,000$ 82,289,666$ -789,666$

ArenaGoal HornAbout us
NameWells Fargo Center
CityPhiladelphia
Capacity18000
Season Ticket Holders50%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price300$150$100$75$400$
Attendance11655299633394897848623588
Attendance PCT77.70%79.71%78.98%78.49%94.35%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
16 14310 - 79.50% 4,123,194$103,079,838$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
81,314,666$ 81,314,666$ 0$ 2,000,000$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
47,142,963$ 80,289,666$ 45,594,763$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
65,971,096$ 66 501,884$ 33,124,344$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
34,596,711$ 82,289,666$ 176,475,783$ 213,650,264$
Depth Chart RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Matthew StromeAGE:21FlyersCAN
Jaden SchwartzAGE:28FlyersCAN
Travis KonecnyAGE:23FlyersCAN
Josh BaileyAGE:30FlyersCAN
Tyson JostAGE:22FlyersCAN
Anthony BeauvillierAGE:23FlyersCAN
Max JonesAGE:22FlyersUSA
Yevgeni OksentyukAGE:19FlyersRUS
Joel FarabeeAGE:20FlyersUSA
Micheal FerlandAGE:28FlyersCAN
Andrew CoglianoAGE:33FlyersCAN
Sam BennettAGE:24FlyersCAN
Klim KostinAGE:21FlyersRUS
Marcus KallionkieliAGE:19FlyersFIN
Connor McMichaelAGE:19FlyersCAN
Sidney CrosbyAGE:33FlyersCAN
Mikko KoivuAGE:37FlyersFIN
Tyson JostAGE:22FlyersCAN
Anthony BeauvillierAGE:23FlyersCAN
Kirby DachAGE:19FlyersCAN
Joseph VelenoAGE:19FlyersCAN
Sam BennettAGE:24FlyersCAN
Logan BrownAGE:22FlyersUSA
Rasmus AsplundAGE:22FlyersSWE
Klim KostinAGE:21FlyersRUS
Jay O'BrienAGE:20FlyersUSA
Travis KonecnyAGE:23FlyersCAN
Josh BaileyAGE:30FlyersCAN
Nicolas Aube-KubelAGE:24FlyersCAN
Mitch MarnerAGE:23FlyersCAN
Yevgeni OksentyukAGE:19FlyersRUS
Kirby DachAGE:19FlyersCAN
Zach FischerAGE:23FlyersCAN
Micheal FerlandAGE:28FlyersCAN
Andrew CoglianoAGE:33FlyersCAN
Keegan KolesarAGE:23FlyersCAN
Klim KostinAGE:21FlyersRUS
Marian StudenicAGE:21FlyersSVK

Defense #1Defense #2Goalie
Thomas ChabotAGE:23FlyersCAN
David SavardAGE:29FlyersCAN
P.K. SubbanAGE:31FlyersCAN
Vince DunnAGE:23FlyersCAN
Mikhail SergachevAGE:22FlyersRUS
Travis SanheimAGE:24FlyersCAN
Pierre-Olivier JosephAGE:21FlyersCAN
Adam FoxAGE:22FlyersUSA
Andy WelinskiAGE:27FlyersUSA
Gabriel CarlssonAGE:23FlyersSWE
Ben ThomasAGE:24FlyersCAN
Brandon CrawleyAGE:23FlyersUSA
Erik GudbransonAGE:28FlyersCAN
Cam DineenAGE:22FlyersUSA
Martin JonesAGE:30FlyersCAN
Philipp GrubauerAGE:28FlyersGER
Casey DeSmithAGE:29FlyersUSA
Jake OettingerAGE:21FlyersUSA
Ville HussoAGE:25FlyersFIN
Vitek VanecekAGE:24FlyersCZE

Draft Picks
Year Round 1Round 2Round 3Round 4
3
4
5
6
7

** Conditional Draft Pick That Have Been Traded

Injuries
No Injury or Suspension.

Game Center

Flyers25-24-3, 53pts24Final
Canucks20-27-4, 44pts

Red Wings28-14-8, 64pts16Final
Flyers25-24-3, 53pts

Flyers25-24-3, 53ptsFri, Nov 27Madison Square Garden
Rangers23-21-7, 53pts

Devils31-14-5, 67ptsSun, Nov 29Wells Fargo Center
Flyers25-24-3, 53pts

Lightning28-20-3, 59ptsThu, Dec 03Wells Fargo Center
Flyers25-24-3, 53pts

Team Leaders

GOALS
Jaden Schwartz
25
ASSISTS
Mitch Marner
32
POINTS
Mitch Marner
53
PLUS/MINUS
Mikhail Sergachev
23
WINS
Martin Jones
19
SV%
Martin Jones
0.919

Team Stats


Goals For
156
3.00 GFG
Shots For
1729
33.25 Avg
Power Play Percentage
17.4%
26 GF
Offensive Zone Start
49.9%
Goals Against
165
3.17 GAA
Shots Against
1851
35.60 Avg
Penalty Kill Percentage
78.2%
38 GA
Defensive Zone Start
50.1%
 

Team Info

Flyers
General ManagerChris Cook
Head CoachMike Babcock
Captain Josh Bailey
DivisionMetropolitan

Flyers Affiliation

Flyers
Team NamePhantoms
CityLehigh Valley
Head CoachJacques Martin
DivisionAtlantic

Arena Info

StadiumWells Fargo Center
Capacity18,000
Attendance14,310
Season Tickets9,000

Salary Cap

Total Cap Hit82,289,666$
Cap Space-789,666$
Retains & Buyout2,000,000$
Players In Salary Cap22

Finance

Team Revenue103,079,838$
Estimated Revenue174,851,030$
Estimated Expenses80,267,307$
Operating Income94,583,723$
Bank Account176,475,783$

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain

Josh Bailey

Travis Konecny