Last update: 2023-12-10 21:51:39


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FlyersPhiladelphia
Flyers
9-12-4, 22pts · 12th in EST
Roster
Player Position CD CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO OV Age Contract
Connor McDavid (C)C100.006940839674899499829893717172820912612,500,000$/4yrs
David PastrnakRW100.00714083887681908655859266657265084276,666,667$/9yrs
Brad Marchand (A)LW97.00724766817281897959867372578470080356,125,000$/3yrs
Alex KillornLW100.00705777737678947453797672808068078344,450,000$/5yrs
Tom WilsonRW100.00837865718579827156767569547665077295,166,667$/9yrs
Phillip DanaultC98.03706579777879937185777173547166077305,500,000$/5yrs
Jack RoslovicC/RW100.00704090797774906970786765546659074264,000,000$/2yrs
Barclay GoodrowC/LW/RW100.00747283667971936473746572546965073303,641,667$/5yrs
Noah GregorC/LW/RW100.0075668375746879625571666654595807125950,000$/2yrs
Logan O'ConnorRW100.00766583666669896252736379546058071271,050,000$/3yrs
Adam RuzickaC/LW100.0072408865836264637174636854565807024762,500$/2yrs
Gerald MayhewLW/RW100.0063546963556765616560656456676106630750,000$/2yrs
Devon ToewsD100.00714085837396897240836490546359081294,100,000$/9yrs
Adam LarssonD100.00816478738091956440756385547870078314,000,000$/3yrs
Ivan Provorov (A)D100.00684084837993946340746285547166077266,750,000$/3yrs
Brett PesceD100.00726484747888906440766183547159076294,025,000$/2yrs
Alexander RomanovD100.00856581698683936040735985546058075232,500,000$/3yrs
Josh MahuraD100.0069408464726978594071608154585807025750,000$/2yrs
Scratches
Andrew PoturalskiC/RW100.0055596662596362637062596459676006429762,500$/2yrs
TEAM AVERAGE99.74725580747578856957766874576863075
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO OV AGE CONTRACT
Darcy Kuemper099.0084949291797589758873837163084335,250,000$/5yrs
Anthony Stolarz41100.006967669681708270816881595507629950,000$/2yrs
Scratches
TEAM AVERAGE99.5077817994807386738571826559080
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jon Cooper84919076827667CAN3740$
General Manager
Frank Grimard
Player Stats
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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 MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Brett PesceFlyersFlyers32D256172324354833142918.18%3322.41549000103020.00%000.92000.57
2Connor McDavidFlyersFlyers97C2411112211001696388811.46%317.6634710181056.98%010.92111.00
3David PastrnakFlyersFlyers88RW25101121-32002410426769.62%117.6933600070041.86%010.84020.80
4Alex KillornFlyersFlyers17LW259112051603178204511.54%317.26156000272041.67%000.80220.83
5Devon ToewsFlyersFlyers7D2521113-9395415022284.00%3624.66156011120110.00%000.52000.21
6Ivan ProvorovFlyersFlyers9D2429112160263811355.26%2921.7124600098110.00%000.46000.44
7Barclay GoodrowFlyersFlyers21C/LW/RW2555101115462961917.24%316.911120001020052.69%000.40010.35
8Tom WilsonFlyersFlyers43RW255510-43356435122314.29%113.7911200001065.52%000.40000.19
9Adam LarssonFlyersFlyers6D25369-13380733713438.11%5224.68123000116000.00%000.36000.11
10Phillip DanaultFlyersFlyers24C21459-5402640133510.00%220.601230001050153.59%000.43000.39
11Brad MarchandFlyersFlyers63LW25167-9180447719411.30%420.75011000871046.55%000.28020.23
12Alexander RomanovFlyersFlyers23D250772420699760.00%2814.7701100056000.00%000.28010.06
13Jack RoslovicFlyersFlyers96C/RW25516180122472220.83%111.0200000001051.25%000.24000.22
14Josh MahuraFlyersFlyers28D1205544058110.00%613.3201100013000.00%000.42000.40
15Logan O'ConnorFlyersFlyers25RW25224-31752627457.41%413.560000001341036.84%000.16000.06
16Gerald MayhewFlyersFlyers36LW/RW25033-1201362110.00%18.4600000000036.84%000.12010.08
17Noah GregorFlyersFlyers73C/LW/RW20112-66012163176.25%18.30000000260045.83%000.10000.00
18Adam RuzickaFlyersFlyers64C/LW2502202013137130.00%17.1100000000050.65%000.08000.10
19Andrew PoturalskiFlyersFlyers12C/RW10101-100421650.00%07.6000000030025.00%000.10000.08
Team Total or Average43667118185-36329255937222265439.28%20916.3019345393711210139552.58%215100020.52310
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
1Darcy KuemperFlyersFlyers197830.8823.22110160595000200.5008187000
2Anthony StolarzFlyersFlyers82410.8902.8841721201810000.3333718000
Team Total or Average2791240.8843.12151981796810200.455112525000
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
1FlyersPanthers2200000094541.000916250012606314183105814343612433.33%16193.75%046086153.43%45685953.08%21540952.57%48324715241162.5%14.3%93.1%107.4LUCKY
2FlyersMaple Leafs1010000024-200.00024600110022101020211022253133.33%11281.82%046086153.43%45685953.08%21540952.57%211325812533.3%9.1%81.0%90.0FUN
3FlyersSenators20200000510-500.0005101500320049171913083343252300.00%15473.33%046086153.43%45685953.08%21540952.57%43295314231045.5%10.2%88.0%98.2FUN
4FlyersCapitals1100000032121.00035800102020659023811114125.00%30100.00%046086153.43%45685953.08%21540952.57%251822612650.0%15.0%91.3%106.3LUCKY
5FlyersCanadiens1010000034-100.0003580012002498702861629100.00%80100.00%046086153.43%45685953.08%21540952.57%201226713642.9%12.5%85.7%98.2FUN
6FlyersBruins1010000015-400.000123000100236314031612292150.00%6183.33%046086153.43%45685953.08%21540952.57%23152471260.0%4.3%83.9%88.2Unlucky
7FlyersHurricanes1000100032121.0003690011012278613582523200.00%10280.00%046086153.43%45685953.08%21540952.57%2214267126100.0%13.6%94.3%107.9LUCKY
8FlyersRangers1010000014-300.00012300010031101110036131728400.00%6183.33%046086153.43%45685953.08%21540952.57%211426712525.0%3.2%88.9%92.1Unlucky
9FlyersIslanders2110000043120.5004610000310702020300381143581616.25%16381.25%046086153.43%45685953.08%21540952.57%483246152412100.0%5.7%92.1%97.8DULL
10FlyersBlue Jackets20100100510-510.25051015003110662221230662529571119.09%12283.33%046086153.43%45685953.08%21540952.57%51354714251233.3%7.6%84.8%92.4Unlucky
11FlyersSharks1010000012-100.000123000010224711021101419400.00%60100.00%046086153.43%45685953.08%21540952.57%231523812633.3%4.5%90.5%95.0Unlucky
12FlyersBlues1100000040421.000461001112029613100176430600.00%20100.00%046086153.43%45685953.08%21540952.57%2417238126100.0%13.8%100.0%113.8LUCKY
13FlyersFlames1000000145-110.5004812001121341015932994247114.29%20100.00%046086153.43%45685953.08%21540952.57%261825712637.5%11.8%82.8%94.5FUN
14FlyersStars1010000025-300.000235002000331110120311710212150.00%5180.00%046086153.43%45685953.08%21540952.57%201326712620.0%6.1%83.9%89.9Unlucky
15FlyersCanucks1010000035-200.000369000210236107018612405120.00%6183.33%046086153.43%45685953.08%21540952.57%221322714733.3%13.0%72.2%85.3FUN
16FlyersDevils2010100044020.50046100021017930232425217223610110.00%11190.91%046086153.43%45685953.08%21540952.57%53384314251250.0%5.1%92.3%97.4DULL
17FlyersPenguins1000010012-110.500123000100249105029812184125.00%60100.00%046086153.43%45685953.08%21540952.57%23152371360.0%4.2%93.1%97.3DULL
18FlyersLightning2100100096341.00091524003411571923123471222419333.33%10550.00%146086153.43%45685953.08%21540952.57%47314715281485.7%15.8%87.2%103.0FUN
19FlyersPredators1000000134-110.5003690030033412910111842228225.00%000.00%046086153.43%45685953.08%21540952.57%282022714720.0%8.8%77.8%86.6Unlucky
_Vs Division1024022002127-6100.500213758007842312104981073279901592315159.80%64985.94%046086153.43%45685953.08%21540952.57%246169235741256347.1%6.7%90.3%97.1Unlucky
_Vs Conference1959032005060-10180.47450891390016201135501791791866547172297443811417.28%1302283.08%146086153.43%45685953.08%21540952.57%45130445914224011848.6%9.1%89.0%98.1FUN
_Since Last GM Reset25612032026781-14220.44067120187012324177725228243245206812243435991131916.81%1512484.11%146086153.43%45685953.08%21540952.57%59840360418931915945.7%9.2%88.1%97.3FUN
Total25612032026781-14220.44067120187012324177725228243245206812243435991131916.81%1512484.11%146086153.43%45685953.08%21540952.57%59840360418931915945.7%9.2%88.1%97.3FUN

Puck Time
Offensive Zone 23
Neutral Zone 12
Defensive Zone 24
Puck Time
Offensive Zone Start 861
Neutral Zone Start 409
Defensive Zone Start 859
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1131
Faceoffs Lost 998
Team Average Shots after League Average Shots after
1st Period 9.19.57
2nd Period 18.820.31
3rd Period 28.630.68
Overtime 29.431.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 1.91.65
3rd Period 2.62.67
Overtime 2.82.83
Even Strenght Goal 47
PP Goal 19
PK Goal 1
Empty Net Goal 0
Home Away
Win 54
Lost 66
Overtime Lost 22
PP Attempt 113
PP Goal 19
PK Attempt 151
PK Goal Against 24
Home
Shots For 29.0
Shots Against 27.2
Goals For 2.7
Goals Against 3.2
Hits 24.0
Shots Blocked 9.0
Pim 13.7
Cap Hit
Flyers
Projected Total Cap Hit80,650,001$
Projected Cap Space1,849,999$
Retains And Buyout Cap Hit0$
Salary Cap To Date25,585,843$
Players In Salary Cap21
Contracts53/50
LTIR Players0
Flyers Roster Pos Age Cap Hit 2023-24 2024-25 2025-26 2026-27 2027-28 2028-29 2029-30 2030-31
Adam Larsson D314,000,000$4,000,000$ 4,000,000$ 4,000,000$ UFA
Adam Ruzicka C/LW24762,500$762,500$ 762,500$ RFA
Alex Killorn LW344,450,000$4,450,000$ 6,250,000$ 6,250,000$ 6,250,000$ 6,250,000$ UFA
Alexander Romanov D232,500,000$2,500,000$ 2,500,000$ 2,500,000$ RFA
Andrew Poturalski C/RW29762,500$762,500$ 762,500$ UFA
Anthony Stolarz G29950,000$950,000$ 1,100,000$ UFA
Barclay Goodrow C/LW/RW303,641,667$3,641,667$ 3,641,667$ 3,641,667$ 3,641,667$ 3,641,667$ UFA
Brad Marchand LW356,125,000$6,125,000$ 6,125,000$ 6,125,000$ UFA
Brett Pesce D294,025,000$4,025,000$ 4,025,000$ UFA
Connor McDavid C2612,500,000$12,500,000$ 12,500,000$ 12,500,000$ 12,500,000$ UFA
Darcy Kuemper G335,250,000$5,250,000$ 5,250,000$ 5,250,000$ 5,250,000$ 5,250,000$ UFA
David Pastrnak RW276,666,667$6,666,667$ 11,250,000$ 11,250,000$ 11,250,000$ 11,250,000$ 11,250,000$ 11,250,000$ 11,250,000$
Devon Toews D294,100,000$4,100,000$ 4,100,000$ 7,250,000$ 7,250,000$ 7,250,000$ 7,250,000$ 7,250,000$ 7,250,000$
Gerald Mayhew LW/RW30750,000$750,000$ 775,000$ UFA
Ivan Provorov D266,750,000$6,750,000$ 6,750,000$ 6,750,000$ UFA
Jack Roslovic C/RW264,000,000$4,000,000$ 4,000,000$ UFA
Josh Mahura D25750,000$750,000$ 925,000$ RFA
Logan O'Connor RW271,050,000$1,050,000$ 1,050,000$ 1,050,000$ UFA
Noah Gregor C/LW/RW25950,000$950,000$ 775,000$ RFA
Phillip Danault C305,500,000$5,500,000$ 5,500,000$ 5,500,000$ 5,500,000$ 5,500,000$ UFA
Tom Wilson RW295,166,667$5,166,667$ 5,166,667$ 6,500,000$ 6,500,000$ 6,500,000$ 6,500,000$ 6,500,000$ 6,500,000$
Non-Roster Pos Age Cap Hit 2023-24 2024-25 2025-26 2026-27 2027-28 2028-29 2029-30 2030-31
Aarne Talvitie C24925,000$925,000$ RFA
Adam Edstrom C/LW/RW23846,667$846,667$ 846,667$ RFA
Adam Scheel G241,137,500$1,137,500$ RFA
Ben Jones C24750,000$750,000$ 775,000$ RFA
Ben McCartney LW22813,333$813,333$ 813,333$ RFA
Brendan Brisson C/LW/RW22925,000$925,000$ 925,000$ RFA
Carter Mazur LW21925,000$925,000$ 925,000$ 925,000$ RFA
Cavan Fitzgerald D27750,000$750,000$ RFA
Dmitri Samorukov D24775,000$775,000$ 775,000$ RFA
Dmitry Ovchinnikov C/LW21835,000$835,000$ RFA
Dylan Holloway C/LW221,441,667$1,441,667$ 1,441,667$ RFA
Glenn Gawdin C/RW26762,500$762,500$ 762,500$ UFA
Henri Jokiharju D242,500,000$2,500,000$ 2,500,000$ RFA
Henry Thrun D22912,500$912,500$ 912,500$ RFA
Jakub Galvas D24925,000$925,000$ RFA
Jamieson Rees C22910,833$910,833$ 910,833$ RFA
Josh Filmon LW19950,000$950,000$ 950,000$ 950,000$ 950,000$ RFA
Ken Appleby G28762,500$762,500$ 762,500$ UFA
Leevi Merilainen G21820,000$820,000$ 820,000$ 820,000$ RFA
Lucas Edmonds LW/RW22950,000$950,000$ 950,000$ 950,000$ RFA
Lukas Rousek RW24830,000$830,000$ 775,000$ 775,000$ RFA
Mack Guzda G221,208,333$1,208,333$ 1,208,333$ RFA
Martin Chromiak LW/RW21820,000$820,000$ 820,000$ RFA
Matthew Kessel D23925,000$925,000$ 925,000$ RFA
Michal Teply RW22919,167$919,167$ 919,167$ RFA
Pyotr Kochetkov G24925,000$925,000$ 2,000,000$ 2,000,000$ 2,000,000$ 2,000,000$ UFA
Riley Barber RW29750,000$750,000$ UFA
Ryan Fanti G24925,000$925,000$ 925,000$ RFA
Ryan O'Rourke D21894,167$894,167$ 894,167$ RFA
Ryan Tverberg C/RW21851,667$851,667$ 851,667$ 851,667$ 851,667$ RFA
Santeri Hatakka D22925,000$925,000$ 925,000$ RFA
Tyce Thompson RW24762,500$762,500$ 762,500$ RFA

Lines
Forward Lines


Brad Marchand


Connor McDavid


Logan O'Connor


Alex Killorn


Jack Roslovic


Tom Wilson


Barclay Goodrow


Phillip Danault


David Pastrnak


Gerald Mayhew


Adam Ruzicka


Noah Gregor

Defensive Pairings


Ivan Provorov


Devon Toews


Adam Larsson


Brett Pesce


Josh Mahura


Alexander Romanov

1st Power Play Unit


Brad Marchand


Connor McDavid


David Pastrnak


Devon Toews


Adam Larsson

2nd Power Play Unit


Alex Killorn


Phillip Danault


Barclay Goodrow


Ivan Provorov


Brett Pesce

Goalies


Darcy Kuemper


Anthony Stolarz

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
1FlyersPanthers2200000094541.000916250012606314183105814343612433.33%16193.75%046086153.43%45685953.08%21540952.57%48324715241162.5%14.3%93.1%107.4LUCKY
2FlyersMaple Leafs1010000024-200.00024600110022101020211022253133.33%11281.82%046086153.43%45685953.08%21540952.57%211325812533.3%9.1%81.0%90.0FUN
3FlyersSenators20200000510-500.0005101500320049171913083343252300.00%15473.33%046086153.43%45685953.08%21540952.57%43295314231045.5%10.2%88.0%98.2FUN
4FlyersCapitals1100000032121.00035800102020659023811114125.00%30100.00%046086153.43%45685953.08%21540952.57%251822612650.0%15.0%91.3%106.3LUCKY
5FlyersCanadiens1010000034-100.0003580012002498702861629100.00%80100.00%046086153.43%45685953.08%21540952.57%201226713642.9%12.5%85.7%98.2FUN
6FlyersBruins1010000015-400.000123000100236314031612292150.00%6183.33%046086153.43%45685953.08%21540952.57%23152471260.0%4.3%83.9%88.2Unlucky
7FlyersHurricanes1000100032121.0003690011012278613582523200.00%10280.00%046086153.43%45685953.08%21540952.57%2214267126100.0%13.6%94.3%107.9LUCKY
8FlyersRangers1010000014-300.00012300010031101110036131728400.00%6183.33%046086153.43%45685953.08%21540952.57%211426712525.0%3.2%88.9%92.1Unlucky
9FlyersIslanders2110000043120.5004610000310702020300381143581616.25%16381.25%046086153.43%45685953.08%21540952.57%483246152412100.0%5.7%92.1%97.8DULL
10FlyersBlue Jackets20100100510-510.25051015003110662221230662529571119.09%12283.33%046086153.43%45685953.08%21540952.57%51354714251233.3%7.6%84.8%92.4Unlucky
11FlyersSharks1010000012-100.000123000010224711021101419400.00%60100.00%046086153.43%45685953.08%21540952.57%231523812633.3%4.5%90.5%95.0Unlucky
12FlyersBlues1100000040421.000461001112029613100176430600.00%20100.00%046086153.43%45685953.08%21540952.57%2417238126100.0%13.8%100.0%113.8LUCKY
13FlyersFlames1000000145-110.5004812001121341015932994247114.29%20100.00%046086153.43%45685953.08%21540952.57%261825712637.5%11.8%82.8%94.5FUN
14FlyersStars1010000025-300.000235002000331110120311710212150.00%5180.00%046086153.43%45685953.08%21540952.57%201326712620.0%6.1%83.9%89.9Unlucky
15FlyersCanucks1010000035-200.000369000210236107018612405120.00%6183.33%046086153.43%45685953.08%21540952.57%221322714733.3%13.0%72.2%85.3FUN
16FlyersDevils2010100044020.50046100021017930232425217223610110.00%11190.91%046086153.43%45685953.08%21540952.57%53384314251250.0%5.1%92.3%97.4DULL
17FlyersPenguins1000010012-110.500123000100249105029812184125.00%60100.00%046086153.43%45685953.08%21540952.57%23152371360.0%4.2%93.1%97.3DULL
18FlyersLightning2100100096341.00091524003411571923123471222419333.33%10550.00%146086153.43%45685953.08%21540952.57%47314715281485.7%15.8%87.2%103.0FUN
19FlyersPredators1000000134-110.5003690030033412910111842228225.00%000.00%046086153.43%45685953.08%21540952.57%282022714720.0%8.8%77.8%86.6Unlucky
_Vs Division1024022002127-6100.500213758007842312104981073279901592315159.80%64985.94%046086153.43%45685953.08%21540952.57%246169235741256347.1%6.7%90.3%97.1Unlucky
_Vs Conference1959032005060-10180.47450891390016201135501791791866547172297443811417.28%1302283.08%146086153.43%45685953.08%21540952.57%45130445914224011848.6%9.1%89.0%98.1FUN
_Since Last GM Reset25612032026781-14220.44067120187012324177725228243245206812243435991131916.81%1512484.11%146086153.43%45685953.08%21540952.57%59840360418931915945.7%9.2%88.1%97.3FUN
Total25612032026781-14220.44067120187012324177725228243245206812243435991131916.81%1512484.11%146086153.43%45685953.08%21540952.57%59840360418931915945.7%9.2%88.1%97.3FUN

Puck Time
Offensive Zone 23
Neutral Zone 12
Defensive Zone 24
Puck Time
Offensive Zone Start 861
Neutral Zone Start 409
Defensive Zone Start 859
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1131
Faceoffs Lost 998
Team Average Shots after League Average Shots after
1st Period 9.19.57
2nd Period 18.820.31
3rd Period 28.630.68
Overtime 29.431.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 1.91.65
3rd Period 2.62.67
Overtime 2.82.83
Even Strenght Goal 47
PP Goal 19
PK Goal 1
Empty Net Goal 0
Home Away
Win 54
Lost 66
Overtime Lost 22
PP Attempt 113
PP Goal 19
PK Attempt 151
PK Goal Against 24
Home
Shots For 29.0
Shots Against 27.2
Goals For 2.7
Goals Against 3.2
Hits 24.0
Shots Blocked 9.0
Pim 13.7
Schedule
DateMatchup Result Detail
Thu, Oct 19FlyersNJD@FlyersPHINJD2,PHI1RECAP
Sat, Oct 21FlyersVAN@FlyersPHIVAN5,PHI3RECAP
Tue, Oct 24FlyersPHI@FlyersTAMPHI4,TAM3 (OT)RECAP
Wed, Oct 25FlyersPHI@FlyersFLOPHI3,FLO1RECAP
Sat, Oct 28FlyersPHI@FlyersNASPHI3,NAS4 (SO)RECAP
Sun, Oct 29FlyersSAN@FlyersPHISAN2,PHI1RECAP
Thu, Nov 2FlyersFLO@FlyersPHIFLO3,PHI6RECAP
Sat, Nov 4FlyersCAR@FlyersPHICAR2,PHI3 (OT)RECAP
Tue, Nov 7FlyersPHI@FlyersNYRPHI1,NYR4RECAP
Wed, Nov 8FlyersPHI@FlyersTORPHI2,TOR4RECAP
Sat, Nov 11FlyersPHI@FlyersOTTPHI3,OTT5RECAP
Tue, Nov 14FlyersSTL@FlyersPHISTL0,PHI4RECAP
Thu, Nov 16FlyersPHI@FlyersCLBPHI2,CLB3 (OT)RECAP
Sat, Nov 18FlyersOTT@FlyersPHIOTT5,PHI2RECAP
Sun, Nov 19FlyersDAL@FlyersPHIDAL5,PHI2RECAP
Tue, Nov 21FlyersPHI@FlyersCLBPHI3,CLB7RECAP
Thu, Nov 23FlyersPHI@FlyersBOSPHI1,BOS5RECAP
Sat, Nov 25FlyersPHI@FlyersMONPHI3,MON4RECAP
Mon, Nov 27FlyersCAL@FlyersPHICAL5,PHI4 (SO)RECAP
Wed, Nov 29FlyersPHI@FlyersWASPHI3,WAS2RECAP
Fri, Dec 1FlyersPIT@FlyersPHIPIT2,PHI1 (OT)RECAP
Sat, Dec 2FlyersPHI@FlyersNYIPHI4,NYI1RECAP
Tue, Dec 5FlyersNYI@FlyersPHINYI2,PHI0RECAP
Thu, Dec 7FlyersTAM@FlyersPHITAM3,PHI5RECAP
Sat, Dec 9FlyersNJD@FlyersPHINJD2,PHI3 (OT)RECAP
Mon, Dec 11FlyersCOL@FlyersPHI
Wed, Dec 13FlyersWAS@FlyersPHI
Fri, Dec 15FlyersPHI@FlyersVGK
Sun, Dec 17FlyersPHI@FlyersARI
Tue, Dec 19FlyersPHI@FlyersCOL
Thu, Dec 21FlyersPHI@FlyersNJD
Sat, Dec 23FlyersNYR@FlyersPHI
Tue, Dec 26FlyersCLB@FlyersPHI
Thu, Dec 28FlyersPHI@FlyersTOR
Fri, Dec 29FlyersPHI@FlyersCAR
Thu, Jan 4FlyersPHI@FlyersSAN
Sat, Jan 6FlyersPHI@FlyersLAK
Mon, Jan 8FlyersPHI@FlyersANA
Thu, Jan 11FlyersARI@FlyersPHI
Sun, Jan 14FlyersTOR@FlyersPHI
Wed, Jan 17FlyersWAS@FlyersPHI
Sat, Jan 20FlyersPHI@FlyersWAS
Mon, Jan 22FlyersPHI@FlyersBOS
Tue, Jan 23FlyersANA@FlyersPHI
Thu, Jan 25FlyersCHI@FlyersPHI
Sat, Jan 27FlyersPHI@FlyersDET
Sun, Jan 28FlyersWIN@FlyersPHI
Tue, Jan 30FlyersLAK@FlyersPHI
Thu, Feb 1FlyersPHI@FlyersMIN
Sat, Feb 3FlyersPHI@FlyersWIN
Mon, Feb 12FlyersNYI@FlyersPHI
Thu, Feb 15FlyersEDM@FlyersPHI
Sat, Feb 17FlyersNAS@FlyersPHI
Sun, Feb 18FlyersKRA@FlyersPHI
Thu, Feb 22FlyersPHI@FlyersKRA
Sat, Feb 24FlyersPHI@FlyersVAN
Mon, Feb 26FlyersPHI@FlyersCAL
Tue, Feb 27FlyersPHI@FlyersEDM
Fri, Mar 1FlyersMON@FlyersPHI
Trade Deadline --- Trades can’t be done after this day is simulated!
Sat, Mar 2FlyersPHI@FlyersNJD
Wed, Mar 6FlyersNYR@FlyersPHI
Sat, Mar 9FlyersPHI@FlyersBUF
Sun, Mar 10FlyersDET@FlyersPHI
Tue, Mar 12FlyersPHI@FlyersTAM
Thu, Mar 14FlyersPHI@FlyersCAR
Sat, Mar 16FlyersPHI@FlyersPIT
Tue, Mar 19FlyersVGK@FlyersPHI
Fri, Mar 22FlyersBUF@FlyersPHI
Sat, Mar 23FlyersCAR@FlyersPHI
Tue, Mar 26FlyersFLO@FlyersPHI
Thu, Mar 28FlyersMIN@FlyersPHI
Sat, Mar 30FlyersDET@FlyersPHI
Tue, Apr 2FlyersMON@FlyersPHI
Thu, Apr 4FlyersPHI@FlyersOTT
Sat, Apr 6FlyersBUF@FlyersPHI
Sun, Apr 7FlyersPHI@FlyersPIT
Tue, Apr 9FlyersPHI@FlyersSTL
Thu, Apr 11FlyersPHI@FlyersDAL
Sat, Apr 13FlyersPHI@FlyersNYI
Sun, Apr 14FlyersBOS@FlyersPHI
Tue, Apr 16FlyersCLB@FlyersPHI
Thu, Apr 18FlyersPHI@FlyersCHI

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
80,650,001$ 0$ 80,650,001$ 1,849,999$

ArenaGoal HornAbout us
NameWachovia Center
CityPhiladelphia
Capacity17000
Season Ticket Holders40%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity50004000300040001000
Ticket Price150$120$90$70$350$
Attendance319792080015600208005631
Attendance PCT49.20%40.00%40.00%40.00%43.32%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
28 7293 - 42.90% 1,389,562$18,064,312$17000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
80,650,001$ 80,650,001$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
25,585,843$ 80,650,001$ 25,585,843$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
38,907,749$ 130 426,720$ 55,473,600$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
57,561,400$ 80,650,001$ 78,817,844$ 62,921,467$
Depth Chart Rising Star Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Brad MarchandAGE:35FlyersCAN
Alex KillornAGE:34FlyersCAN
Barclay GoodrowAGE:30FlyersCAN
Dylan HollowayAGE:22FlyersCAN
Noah GregorAGE:25FlyersCAN
Lucas EdmondsAGE:22FlyersSWE
Josh FilmonAGE:19FlyersCAN
Brendan BrissonAGE:22FlyersUSA
Carter MazurAGE:21FlyersUSA
Adam EdstromAGE:23FlyersSWE
Dmitry OvchinnikovAGE:21FlyersRUS
Martin ChromiakAGE:21FlyersSVK
Ben McCartneyAGE:22FlyersCAN
Adam RuzickaAGE:24FlyersSVK
Gerald MayhewAGE:30FlyersUSA
Connor McDavidAGE:26FlyersCAN
Phillip DanaultAGE:30FlyersCAN
Jack RoslovicAGE:26FlyersUSA
Barclay GoodrowAGE:30FlyersCAN
Dylan HollowayAGE:22FlyersCAN
Noah GregorAGE:25FlyersCAN
Aarne TalvitieAGE:24FlyersFIN
Brendan BrissonAGE:22FlyersUSA
Jamieson ReesAGE:22FlyersCAN
Ryan TverbergAGE:21FlyersCAN
Adam EdstromAGE:23FlyersSWE
Dmitry OvchinnikovAGE:21FlyersRUS
Adam RuzickaAGE:24FlyersSVK
Andrew PoturalskiAGE:29FlyersUSA
Glenn GawdinAGE:26FlyersCAN
Ben JonesAGE:24FlyersCAN
David PastrnakAGE:27FlyersCZE
Tom WilsonAGE:29FlyersCAN
Jack RoslovicAGE:26FlyersUSA
Barclay GoodrowAGE:30FlyersCAN
Logan O'ConnorAGE:27FlyersUSA
Noah GregorAGE:25FlyersCAN
Lucas EdmondsAGE:22FlyersSWE
Brendan BrissonAGE:22FlyersUSA
Michal TeplyAGE:22FlyersCZE
Ryan TverbergAGE:21FlyersCAN
Adam EdstromAGE:23FlyersSWE
Lukas RousekAGE:24FlyersCZE
Martin ChromiakAGE:21FlyersSVK
Andrew PoturalskiAGE:29FlyersUSA
Glenn GawdinAGE:26FlyersCAN
Tyce ThompsonAGE:24FlyersCAN
Gerald MayhewAGE:30FlyersUSA
Riley BarberAGE:29FlyersUSA

Defense #1Defense #2Goalie
Ivan ProvorovAGE:26FlyersRUS
Devon ToewsAGE:29FlyersCAN
Brett PesceAGE:29FlyersUSA
Adam LarssonAGE:31FlyersSWE
Alexander RomanovAGE:23FlyersRUS
Henri JokiharjuAGE:24FlyersFIN
Jakub GalvasAGE:24FlyersCZE
Santeri HatakkaAGE:22FlyersFIN
Matthew KesselAGE:23FlyersUSA
Henry ThrunAGE:22FlyersUSA
Ryan O'RourkeAGE:21FlyersCAN
Dmitri SamorukovAGE:24FlyersRUS
Josh MahuraAGE:25FlyersCAN
Cavan FitzgeraldAGE:27FlyersCAN
Darcy KuemperAGE:33FlyersCAN
Mack GuzdaAGE:22FlyersUSA
Adam ScheelAGE:24FlyersUSA
Anthony StolarzAGE:29FlyersUSA
Pyotr KochetkovAGE:24FlyersRUS
Ryan FantiAGE:24FlyersCAN
Leevi MerilainenAGE:21FlyersFIN
Ken ApplebyAGE:28FlyersCAN

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2024
2025
2026
2027
2028

** Conditional Draft Pick That Have Been Traded
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
Arseny GritsyukFlyersFlyers2020152Link
Braden DoyleFlyersFlyers2020169Link
Carson LambosFlyersFlyers202226Link
Eetu LiukasFlyersFlyers2022138Link
Ethan HaiderFlyersFlyers2020188Link
Filip BystedtFlyersFlyers202322Link
Frederick DichowFlyersFlyers2020167Link
Gustav BerglundFlyersFlyers2020157Link
Jakub DemekFlyersFlyers202297Link
Jakub MalekFlyersFlyers2022154Link
Joel NystromFlyersFlyers202292Link
Josh BloomFlyersFlyers202290Link
Kirill SlepetsFlyersFlyers2020133Link
Kyle JacksonFlyersFlyers202389Link
Liam Dower-NilssonFlyersFlyers2022100Link
Ludvig JanssonFlyersFlyers2023121Link
Matthew SeminoffFlyersFlyers202392Link
Oskar MagnussonFlyersFlyers2021212Link
Sam LipkinFlyersFlyers2022164Link
Scott MorrowFlyersFlyers202246Link
Tomas MazuraFlyersFlyers2020183Link
Ty NelsonFlyersFlyers202334Link
Ty VoitFlyersFlyers202276Link
Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2024
2025
2026
2027
2028

** Conditional Draft Pick That Have Been Traded
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
Arseny GritsyukFlyersFlyers2020152Link
Braden DoyleFlyersFlyers2020169Link
Carson LambosFlyersFlyers202226Link
Eetu LiukasFlyersFlyers2022138Link
Ethan HaiderFlyersFlyers2020188Link
Filip BystedtFlyersFlyers202322Link
Frederick DichowFlyersFlyers2020167Link
Gustav BerglundFlyersFlyers2020157Link
Jakub DemekFlyersFlyers202297Link
Jakub MalekFlyersFlyers2022154Link
Joel NystromFlyersFlyers202292Link
Josh BloomFlyersFlyers202290Link
Kirill SlepetsFlyersFlyers2020133Link
Kyle JacksonFlyersFlyers202389Link
Liam Dower-NilssonFlyersFlyers2022100Link
Ludvig JanssonFlyersFlyers2023121Link
Matthew SeminoffFlyersFlyers202392Link
Oskar MagnussonFlyersFlyers2021212Link
Sam LipkinFlyersFlyers2022164Link
Scott MorrowFlyersFlyers202246Link
Tomas MazuraFlyersFlyers2020183Link
Ty NelsonFlyersFlyers202334Link
Ty VoitFlyersFlyers202276Link
News
































































































































































































































































Injuries
Dmitri Samorukov is suspended for 1 more games.

Game Center

Lightning13-8-3, 29pts35Final
Flyers9-12-4, 22pts

Devils11-12-2, 24pts23Final
Flyers9-12-4, 22pts

Avalanche16-7-0, 32ptsMon, Dec 11Wachovia Center
Flyers9-12-4, 22pts

Capitals13-12-1, 27ptsWed, Dec 13Wachovia Center
Flyers9-12-4, 22pts

Flyers9-12-4, 22ptsFri, Dec 15T-Mobile Arena
Golden Knights17-8-1, 35pts

Team Leaders

GOALS
Connor McDavid
11
ASSISTS
Brett Pesce
17
POINTS
Brett Pesce
23
PLUS/MINUS
Alex Killorn
5
WINS
Darcy Kuemper
7
SV%
Anthony Stolarz
0.89

Team Stats


Goals For
67
2.68 GFG
Shots For
725
29.00 Avg
Power Play Percentage
16.8%
19 GF
Offensive Zone Start
50.1%
Goals Against
81
3.24 GAA
Shots Against
681
27.24 Avg
Penalty Kill Percentage
84.1%
24 GA
Defensive Zone Start
49.9%

Injury status

Player POS Status Injury Out For Expected Return
 

Philadelphia Flyers Info

Flyers
General ManagerFrank Grimard
Head CoachJon Cooper
ConferenceEST
DivisionMETROPOLITAINE

AHL Affiliation

Flyers
Team NamePhantoms
CityLehigh Valley
Head CoachRémi Girard
DivisionMETROPOLITAINE

Team Jerseys

Flyers Flyers Flyers
Home Away Alternate

Arena Info

StadiumWachovia Center
Capacity17,000
Attendance7,293
Season Tickets6,800

Roster Info

Active Roster21/23
Contract Limit53/55
Prospects & Player's Rights23
Reserve List76/90

Salary Cap

Total Cap Hit80,650,001$
Cap Hit Percentage97.76%
Projected Cap Space1,849,999$
Retains & Buyout0$

Finance

Team Revenue18,064,312$
Estimated Revenue59,729,335$
Estimated Expenses81,059,443$
Operating Income-21,330,108$
Bank Account78,817,844$

Tickets

Section 100150$ | 49.20%
Section 200120$ | 40.00%
Section 30090$ | 40.00%
Section 40070$ | 40.00%
Suites350$ | 43.32%

Team History

20239-12-4 (22PTS)
Record (W-L-OTL)112-58-19
Playoff Appearances3
Playoff Record (W-L)6-12
Stanley Cup0

Entry Draft