FlyersPhiladelphie Flyers
10-7-3, 23pts · 8th in Conference Est
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Connor McDavid0C100.006135869176959190828982718661599250772112,500,000$/8yrs
Gabriel Landeskog0LW100.00754175838095868284798076817362775075255,571,000$/1yrs
Artemi Panarin0LW100.00574182856692928456867562806359365072266,000,000$/1yrs
Brendan Gallagher0RW100.00733871756686957471687767767061475069263,750,000$/2yrs
Artem Anisimov0C100.00593579718685917082706873697859555068304,550,000$/3yrs
Valtteri Filppula0C100.00573574707481856983677080708862325068342,750,000$/1yrs
Andrew Copp0C100.00673576697979826879676776686254595066241,000,000$/1yrs
Nick Ritchie0LW/RW100.0079356372878373716073666769605384506622894,167$/1yrs
Teddy Blueger0C100.0077447569717764687165697969515069506524650,000$/1yrs
Derek Grant0C100.0074357465867674647965627163585348506428650,000$/1yrs
Andrew Mangiapane0LW/RW100.0063357368677072676665686568525149506222800,000$/1yrs
Tomas Hyka0RW100.0051357369645858685666655766515047505925650,000$/1yrs
Travis Hamonic0D100.00634179678187826630676590667357575071283,857,000$/2yrs
Deryk Engelland0D100.00823583648384876430666184637558225071362,000,000$/1yrs
Kris Russell0D100.00704181656486856530676283648260415069313,100,000$/2yrs
Dan Girardi0D100.00843579668081756630686377658761235069343,000,000$/1yrs
Marc Staal0D100.00693575648984926430656276638460525069315,700,000$/2yrs
Martin Marincin0D100.0065357862927162623163606061585262566126800,000$/1yrs
Scratches
Peter Holland0C100.0056896070815050707065655065615370506027675,000$/1yrs
Ryan Graves0D100.0068357263955963633057586259515059506023650,000$/1yrs
Eric Gryba0D100.0066355556915255563053535254625452505530950,000$/1yrs
TEAM AVERAGE100.00673974707978776956686770686756545066
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Pekka Rinne099.0092929193919092919091849795225088357,000,000$/1yrs
Christopher Gibson0100.007568818274747574747469516361507125650,000$/2yrs
Scratches
Andrew Hammond0100.007765948376757776757671546634507330650,000$/1yrs
Maxime Lagace0100.007665857875747675747570516442507125650,000$/1yrs
TEAM AVERAGE99.7580738884797880797879746372405076
Farm
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Scratches
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Scratches
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
General Manager
Marc-Andre Girard
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 MP AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Connor McDavidFlyersFlyers0C2081321640298734559.20%522.774486400001252.22%607225000.9236
2Artemi PanarinFlyersFlyers0LW2061016520239321496.45%621.902356400061240.74%27244000.7313
3Gabriel LandeskogFlyersFlyers0LW2056116140325619408.93%520.9423565000510167.86%282010000.5336
4Nick RitchieFlyersFlyers0LW/RW204711522031418269.76%1118.890554700000148.15%2738000.5800
5Brendan GallagherFlyersFlyers0RW2054962602647132510.64%1117.882355800002043.48%2388000.5001
6Artem AnisimovFlyersFlyers0C204484202039122310.26%318.2132550000200055.00%26098000.4400
7Kris RussellFlyersFlyers0D2025701353022339.09%3826.280226200059020.00%0316000.2700
8Valtteri FilppulaFlyersFlyers0C20336-540194110237.32%514.5820232000541052.94%102611000.4100
9Deryk EngellandFlyersFlyers0D201452402915786.67%2123.520115500036000.00%0514000.2100
10Travis HamonicFlyersFlyers0D20044-31201218690.00%2425.300225700050000.00%0228000.1600
11Derek GrantFlyersFlyers0C20022-66026174140.00%311.210000000190027.27%1145000.1800
12Dan GirardiFlyersFlyers0D2002231001817150.00%1518.04000210005000.00%0413000.1100
13Andrew MangiapaneFlyersFlyers0LW/RW20011-2001615890.00%88.810006000190040.00%553000.1100
14Andrew CoppFlyersFlyers0C20101-64028419262.44%212.100002000230152.25%11174000.0800
15Marc StaalFlyersFlyers0D200112402311890.00%1816.40000000040000.00%0211000.0600
16Teddy BluegerFlyersFlyers0C20101-2601392711.11%26.95000000011055.32%4711000.1400
17Peter HollandFlyersFlyers0C6000111545130.00%08.1600010000000.00%121000.0000
18Martin MarincinFlyersFlyers0D1400000063310.00%48.0500020005000.00%001000.0000
19Ryan GravesFlyersFlyers0D12000200114110.00%110.0800000000000.00%005000.0000
20Tomas HykaFlyersFlyers0RW8000-32026420.00%07.73000000000050.00%420000.0000
Team Total or Average360406610615146103985871743386.81%18216.721525405950003966952.51%1253129156000.35716
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
1Pekka RinneFlyersFlyers189630.9371.9511082036569223210.76517182433
2Andrew HammondFlyersFlyers21100.9302.501200057138000.000025100
Team Total or Average2010730.9362.0012282041640261210.76517207533
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
1FlyersBruins1010000023-100.000246000020353151703996152150.00%3233.33%026048253.94%26052149.90%13825055.20%191124815750.0%5.7%92.3%98.0DULL
2FlyersCanadiens1100000031221.000358001200295131102748243133.33%4175.00%026048253.94%26052149.90%13825055.20%21122010178100.0%10.3%96.3%106.6LUCKY
3FlyersStars1100000052321.00051015000320317141003892204125.00%10100.00%026048253.94%26052149.90%13825055.20%201121918966.7%16.1%94.7%110.9LUCKY
4FlyersPenguins1100000031221.0003580001203051870371010215120.00%50100.00%026048253.94%26052149.90%13825055.20%199211018966.7%10.0%97.3%107.3LUCKY
5FlyersCapitals1010000023-100.000235001010391014150321512212150.00%60100.00%026048253.94%26052149.90%13825055.20%231318918825.0%5.1%90.6%95.8Unlucky
6FlyersCanucks1100000021121.00023500011025101230349619500.00%3166.67%026048253.94%26052149.90%13825055.20%2112229168100.0%8.0%97.1%105.1DULL
7FlyersMaple Leafs2010001045-120.5004480003025514301125110143510220.00%7185.71%026048253.94%26052149.90%13825055.20%43244120392033.3%7.3%90.2%97.5Unlucky
8FlyersDevils2010000125-310.2502351000206421231212761715413133.33%5260.00%026048253.94%26052149.90%13825055.20%46294318341625.0%3.1%93.4%96.5DULL
9FlyersBlackhawks2000011044030.750459000121511620153501210425120.00%5180.00%026048253.94%26052149.90%13825055.20%42224019422150.0%7.8%92.0%99.8DULL
10FlyersHurricanes1000001021121.0002130001023813121332812420300.00%2150.00%026048253.94%26052149.90%13825055.20%24142191910100.0%5.3%96.4%101.7DULL
11FlyersFlames1010000025-300.000246000200275193030111721600.00%6433.33%026048253.94%26052149.90%13825055.20%211121917966.7%7.4%83.3%90.7Unlucky
12FlyersOilers1010000013-200.00011200001023212904413817500.00%4250.00%026048253.94%26052149.90%13825055.20%201022816950.0%4.3%93.2%97.5DULL
13FlyersSenators1100000051421.00058130001403578200281210175480.00%50100.00%026048253.94%26052149.90%13825055.20%191024916750.0%14.3%96.4%110.7LUCKY
14FlyersIslanders2000101042241.00045900002351151816457171043600.00%5180.00%026048253.94%26052149.90%13825055.20%46264018381980.0%7.8%96.5%104.3DULL
15FlyersBlue Jackets1000000123-110.500235001100326111433696196233.33%3166.67%026048253.94%26052149.90%13825055.20%251519919100.0%6.3%91.7%97.9DULL
16FlyersGolden Knights1010000014-300.00012300100022679034131023400.00%5340.00%026048253.94%26052149.90%13825055.20%20921918950.0%4.5%88.2%92.8Unlucky
_Vs Division8120102215150100.62515203510237525470967722266805716525520.00%26580.77%026048253.94%26052149.90%13825055.20%186108165751477450.0%5.9%94.4%100.3DULL
_Vs Conference13340103229254160.6152941701039137408991621362441111595256451328.89%45980.00%026048253.94%26052149.90%13825055.20%29016727612423711850.0%7.1%93.9%101.0DULL
_Since Last GM Reset20570114244440230.57544661101041619858714524618527641182148398741520.27%692071.01%026048253.94%26052149.90%13825055.20%43724442519036818554.7%7.5%93.1%100.6DULL
Total20570114244440230.57544661101041619858714524618527641182148398741520.27%692071.01%026048253.94%26052149.90%13825055.20%43724442519036818554.7%7.5%93.1%100.6DULL

Puck Time
Offensive Zone 21
Neutral Zone 18
Defensive Zone 21
Puck Time
Offensive Zone Start 482
Neutral Zone Start 250
Defensive Zone Start 521
Puck Time
With Puck 31
Without Puck 30
Faceoffs
Faceoffs Won 658
Faceoffs Lost 595
Team Average Shots after League Average Shots after
1st Period 7.39.57
2nd Period 19.620.31
3rd Period 28.830.68
Overtime 30.231.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.20.64
2nd Period 1.01.65
3rd Period 2.02.67
Overtime 2.42.83
Even Strenght Goal 28
PP Goal 15
PK Goal 0
Empty Net Goal 1
Home Away
Win 55
Lost 25
Overtime Lost 30
PP Attempt 74
PP Goal 15
PK Attempt 69
PK Goal Against 20
Home
Shots For 29.4
Shots Against 32.1
Goals For 2.2
Goals Against 2.2
Hits 19.9
Shots Blocked 9.1
Pim 7.4
Cap Hit
Flyers
Projected Total Cap Hit69,447,167$
Projected Cap Space10,052,833$
Retains And Buyout Cap Hit0$
Salary Cap To Date17,522,678$
Players In Salary Cap25
LTIR Players0
Flyers Roster Pos Age Cap Hit 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27
Andrew Copp C241,000,000$1,000,000$
Andrew Hammond G30650,000$650,000$
Andrew Mangiapane LW/RW22800,000$800,000$
Artem Anisimov C304,550,000$4,550,000$ 4,550,000$ 4,550,000$
Artemi Panarin LW266,000,000$6,000,000$
Brendan Gallagher RW263,750,000$3,750,000$ 3,750,000$
Christopher Gibson G25650,000$650,000$ 650,000$
Connor McDavid C2112,500,000$12,500,000$ 12,500,000$ 12,500,000$ 12,500,000$ 12,500,000$ 12,500,000$ 12,500,000$ 12,500,000$
Dan Girardi D343,000,000$3,000,000$
Derek Grant C28650,000$650,000$
Deryk Engelland D362,000,000$2,000,000$
Eric Gryba D30950,000$950,000$
Gabriel Landeskog LW255,571,000$5,571,000$
Kris Russell D313,100,000$3,100,000$ 3,100,000$
Marc Staal D315,700,000$5,700,000$ 5,700,000$
Martin Marincin D26800,000$800,000$
Maxime Lagace G25650,000$650,000$
Nick Ritchie LW/RW22894,167$894,167$
Pekka Rinne G357,000,000$7,000,000$
Peter Holland C27675,000$675,000$
Ryan Graves D23650,000$650,000$
Teddy Blueger C24650,000$650,000$
Tomas Hyka RW25650,000$650,000$
Travis Hamonic D283,857,000$3,857,000$ 3,857,000$
Valtteri Filppula C342,750,000$2,750,000$

Lines
Forward Lines


#0 - Artemi Panarin


#0 - Connor McDavid


#0 - Nick Ritchie


#0 - Gabriel Landeskog


#0 - Artem Anisimov


#0 - Brendan Gallagher


#0 - Derek Grant


#0 - Andrew Copp


#0 - Valtteri Filppula


#0 - Andrew Mangiapane


#0 - Teddy Blueger


#0 - Tomas Hyka

Defensive Pairings


#0 - Kris Russell


#0 - Travis Hamonic


#0 - Dan Girardi


#0 - Deryk Engelland


#0 - Marc Staal


#0 - Martin Marincin

1st Power Play Unit


#0 - Artemi Panarin


#0 - Connor McDavid


#0 - Gabriel Landeskog


#0 - Travis Hamonic


#0 - Kris Russell

2nd Power Play Unit


#0 - Nick Ritchie


#0 - Artem Anisimov


#0 - Brendan Gallagher


#0 - Dan Girardi


#0 - Deryk Engelland

Goalies
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
1FlyersBruins1010000023-100.000246000020353151703996152150.00%3233.33%026048253.94%26052149.90%13825055.20%191124815750.0%5.7%92.3%98.0DULL
2FlyersCanadiens1100000031221.000358001200295131102748243133.33%4175.00%026048253.94%26052149.90%13825055.20%21122010178100.0%10.3%96.3%106.6LUCKY
3FlyersStars1100000052321.00051015000320317141003892204125.00%10100.00%026048253.94%26052149.90%13825055.20%201121918966.7%16.1%94.7%110.9LUCKY
4FlyersPenguins1100000031221.0003580001203051870371010215120.00%50100.00%026048253.94%26052149.90%13825055.20%199211018966.7%10.0%97.3%107.3LUCKY
5FlyersCapitals1010000023-100.000235001010391014150321512212150.00%60100.00%026048253.94%26052149.90%13825055.20%231318918825.0%5.1%90.6%95.8Unlucky
6FlyersCanucks1100000021121.00023500011025101230349619500.00%3166.67%026048253.94%26052149.90%13825055.20%2112229168100.0%8.0%97.1%105.1DULL
7FlyersMaple Leafs2010001045-120.5004480003025514301125110143510220.00%7185.71%026048253.94%26052149.90%13825055.20%43244120392033.3%7.3%90.2%97.5Unlucky
8FlyersDevils2010000125-310.2502351000206421231212761715413133.33%5260.00%026048253.94%26052149.90%13825055.20%46294318341625.0%3.1%93.4%96.5DULL
9FlyersBlackhawks2000011044030.750459000121511620153501210425120.00%5180.00%026048253.94%26052149.90%13825055.20%42224019422150.0%7.8%92.0%99.8DULL
10FlyersHurricanes1000001021121.0002130001023813121332812420300.00%2150.00%026048253.94%26052149.90%13825055.20%24142191910100.0%5.3%96.4%101.7DULL
11FlyersFlames1010000025-300.000246000200275193030111721600.00%6433.33%026048253.94%26052149.90%13825055.20%211121917966.7%7.4%83.3%90.7Unlucky
12FlyersOilers1010000013-200.00011200001023212904413817500.00%4250.00%026048253.94%26052149.90%13825055.20%201022816950.0%4.3%93.2%97.5DULL
13FlyersSenators1100000051421.00058130001403578200281210175480.00%50100.00%026048253.94%26052149.90%13825055.20%191024916750.0%14.3%96.4%110.7LUCKY
14FlyersIslanders2000101042241.00045900002351151816457171043600.00%5180.00%026048253.94%26052149.90%13825055.20%46264018381980.0%7.8%96.5%104.3DULL
15FlyersBlue Jackets1000000123-110.500235001100326111433696196233.33%3166.67%026048253.94%26052149.90%13825055.20%251519919100.0%6.3%91.7%97.9DULL
16FlyersGolden Knights1010000014-300.00012300100022679034131023400.00%5340.00%026048253.94%26052149.90%13825055.20%20921918950.0%4.5%88.2%92.8Unlucky
_Vs Division8120102215150100.62515203510237525470967722266805716525520.00%26580.77%026048253.94%26052149.90%13825055.20%186108165751477450.0%5.9%94.4%100.3DULL
_Vs Conference13340103229254160.6152941701039137408991621362441111595256451328.89%45980.00%026048253.94%26052149.90%13825055.20%29016727612423711850.0%7.1%93.9%101.0DULL
_Since Last GM Reset20570114244440230.57544661101041619858714524618527641182148398741520.27%692071.01%026048253.94%26052149.90%13825055.20%43724442519036818554.7%7.5%93.1%100.6DULL
Total20570114244440230.57544661101041619858714524618527641182148398741520.27%692071.01%026048253.94%26052149.90%13825055.20%43724442519036818554.7%7.5%93.1%100.6DULL

Puck Time
Offensive Zone 21
Neutral Zone 18
Defensive Zone 21
Puck Time
Offensive Zone Start 482
Neutral Zone Start 250
Defensive Zone Start 521
Puck Time
With Puck 31
Without Puck 30
Faceoffs
Faceoffs Won 658
Faceoffs Lost 595
Team Average Shots after League Average Shots after
1st Period 7.39.57
2nd Period 19.620.31
3rd Period 28.830.68
Overtime 30.231.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.20.64
2nd Period 1.01.65
3rd Period 2.02.67
Overtime 2.42.83
Even Strenght Goal 28
PP Goal 15
PK Goal 0
Empty Net Goal 1
Home Away
Win 55
Lost 25
Overtime Lost 30
PP Attempt 74
PP Goal 15
PK Attempt 69
PK Goal Against 20
Home
Shots For 29.4
Shots Against 32.1
Goals For 2.2
Goals Against 2.2
Hits 19.9
Shots Blocked 9.1
Pim 7.4
Schedule
DateMatchup Result Detail
2019-10-05FlyersBlackhawks@FlyersFlyersBlackhawks3,Flyers2 (OT)RECAP
2019-10-10FlyersDevils@FlyersFlyersDevils2,Flyers1 (SO)RECAP
2019-10-13FlyersFlyers@FlyersCanucksFlyers2,Canucks1RECAP
2019-10-16FlyersFlyers@FlyersFlamesFlyers2,Flames5RECAP
2019-10-17FlyersFlyers@FlyersOilersFlyers1,Oilers3RECAP
2019-10-20FlyersStars@FlyersFlyersStars2,Flyers5RECAP
2019-10-22FlyersGolden Knights@FlyersFlyersGolden Knights4,Flyers1RECAP
2019-10-25FlyersFlyers@FlyersBlackhawksFlyers2,Blackhawks1 (SO)RECAP
2019-10-27FlyersBlue Jackets@FlyersFlyersBlue Jackets3,Flyers2 (SO)RECAP
2019-10-28FlyersFlyers@FlyersIslandersFlyers2,Islanders1 (SO)RECAP
2019-10-30FlyersFlyers@FlyersPenguinsFlyers3,Penguins1RECAP
2019-11-02FlyersFlyers@FlyersDevilsFlyers1,Devils3RECAP
2019-11-03FlyersMaple Leafs@FlyersFlyersMaple Leafs3,Flyers4 (SO)RECAP
2019-11-06FlyersHurricanes@FlyersFlyersHurricanes1,Flyers2 (SO)RECAP
2019-11-08FlyersCanadiens@FlyersFlyersCanadiens1,Flyers3RECAP
2019-11-10FlyersFlyers@FlyersMaple LeafsFlyers0,Maple Leafs2RECAP
2019-11-11FlyersFlyers@FlyersBruinsFlyers2,Bruins3RECAP
2019-11-14FlyersCapitals@FlyersFlyersCapitals3,Flyers2RECAP
2019-11-16FlyersFlyers@FlyersSenatorsFlyers5,Senators1RECAP
2019-11-17FlyersIslanders@FlyersFlyersIslanders1,Flyers2 (OT)RECAP
2019-11-20FlyersFlyers@FlyersPanthers
2019-11-22FlyersFlyers@FlyersHurricanes
2019-11-24FlyersFlames@FlyersFlyers
2019-11-26FlyersCanucks@FlyersFlyers
2019-11-28FlyersFlyers@FlyersBlue Jackets
2019-11-30FlyersRed Wings@FlyersFlyers
2019-12-01FlyersFlyers@FlyersCanadiens
2019-12-04FlyersMaple Leafs@FlyersFlyers
2019-12-06FlyersCoyotes@FlyersFlyers
2019-12-08FlyersSenators@FlyersFlyers
2019-12-12FlyersFlyers@FlyersAvalanche
2019-12-15FlyersFlyers@FlyersWild
2019-12-16FlyersFlyers@FlyersJets
2019-12-18FlyersDucks@FlyersFlyers
2019-12-20FlyersSabres@FlyersFlyers
2019-12-22FlyersFlyers@FlyersSenators
2019-12-24FlyersRangers@FlyersFlyers
2019-12-29FlyersFlyers@FlyersSharks
2019-12-30FlyersFlyers@FlyersDucks
2020-01-01FlyersFlyers@FlyersKings
2020-01-03FlyersFlyers@FlyersGolden Knights
2020-01-05FlyersFlyers@FlyersCoyotes
2020-01-08FlyersFlyers@FlyersHurricanes
2020-01-09FlyersCapitals@FlyersFlyers
2020-01-12FlyersLightning@FlyersFlyers
2020-01-14FlyersBruins@FlyersFlyers
2020-01-16FlyersFlyers@FlyersBlues
2020-01-17FlyersCanadiens@FlyersFlyers
2020-01-19FlyersKings@FlyersFlyers
2020-01-22FlyersPenguins@FlyersFlyers
2020-02-01FlyersFlyers@FlyersPenguins
2020-02-02FlyersAvalanche@FlyersFlyers
2020-02-04FlyersFlyers@FlyersRed Wings
2020-02-07FlyersDevils@FlyersFlyers
2020-02-09FlyersFlyers@FlyersCapitals
2020-02-11FlyersPanthers@FlyersFlyers
2020-02-12FlyersFlyers@FlyersIslanders
2020-02-14FlyersFlyers@FlyersPanthers
2020-02-16FlyersFlyers@FlyersLightning
2020-02-19FlyersBlue Jackets@FlyersFlyers
2020-02-21FlyersFlyers@FlyersBlue Jackets
2020-02-23FlyersJets@FlyersFlyers
2020-02-26FlyersSharks@FlyersFlyers
2020-02-29FlyersRangers@FlyersFlyers
2020-03-02FlyersFlyers@FlyersRangers
2020-03-05FlyersFlyers@FlyersCapitals
2020-03-06FlyersHurricanes@FlyersFlyers
2020-03-08FlyersSabres@FlyersFlyers
2020-03-11FlyersBruins@FlyersFlyers
2020-03-13FlyersFlyers@FlyersLightning
2020-03-15FlyersWild@FlyersFlyers
2020-03-16FlyersOilers@FlyersFlyers
2020-03-18FlyersBlues@FlyersFlyers
2020-03-21FlyersFlyers@FlyersStars
2020-03-22FlyersFlyers@FlyersPredators
2020-03-25FlyersIslanders@FlyersFlyers
2020-03-27FlyersFlyers@FlyersRed Wings
2020-03-29FlyersFlyers@FlyersDevils
2020-03-30FlyersPenguins@FlyersFlyers
2020-04-02FlyersFlyers@FlyersRangers
2020-04-03FlyersPredators@FlyersFlyers
2020-04-05FlyersFlyers@FlyersSabres

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
69,447,167$ 0$ 69,447,167$ 10,052,833$

ArenaGoal HornAbout us
NameWachovia Center
CityPhiladelphie
Capacity18000
Season Ticket Holders40%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price100$60$35$20$200$
Attendance578884687418806374969563
Attendance PCT96.48%93.75%94.03%93.74%95.63%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
31 17063 - 94.79% 608,020$6,080,203$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
69,447,167$ 69,447,167$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
17,522,678$ 69,447,167$ 17,522,678$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
18,848,629$ 139 373,372$ 51,898,708$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
51,898,708$ 69,447,167$ -288,122,730$ -321,172,809$
Depth Chart Star Player Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Artemi PanarinAGE:26FlyersRUS
Gabriel LandeskogAGE:25FlyersSWE
Nick RitchieAGE:22FlyersCAN
Andrew MangiapaneAGE:22FlyersCAN
Connor McDavidAGE:21FlyersCAN
Artem AnisimovAGE:30FlyersRUS
Valtteri FilppulaAGE:34FlyersFIN
Andrew CoppAGE:24FlyersUSA
Peter HollandAGE:27FlyersCAN
Derek GrantAGE:28FlyersCAN
Teddy BluegerAGE:24FlyersLVA
Brendan GallagherAGE:26FlyersCAN
Nick RitchieAGE:22FlyersCAN
Andrew MangiapaneAGE:22FlyersCAN
Tomas HykaAGE:25FlyersCZE

Defense #1Defense #2Goalie
Marc StaalAGE:31FlyersCAN
Travis HamonicAGE:28FlyersCAN
Kris RussellAGE:31FlyersCAN
Dan GirardiAGE:34FlyersCAN
Deryk EngellandAGE:36FlyersCAN
Eric GrybaAGE:30FlyersCAN
Martin MarincinAGE:26FlyersSVK
Ryan GravesAGE:23FlyersCAN
Pekka RinneAGE:35FlyersFIN
Christopher GibsonAGE:25FlyersFIN
Andrew HammondAGE:30FlyersCAN
Maxime LagaceAGE:25FlyersCAN

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2020
2021
2022
2023
2024

** 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
1 ballo phi 2020FlyersFlyers
2 ballo phi 2020FlyersFlyers
Alex Kannok-LeipertFlyersFlyers2018172
Alexander BélangerFlyersFlyers
Artur GavrusFlyersFlyers
Blake HillmanFlyersFlyers
Blake SiebenalerFlyersFlyers
Cooper MooreFlyersFlyers2019147
Dmitry VoronkovFlyersFlyers2019132
Drake RymshaFlyersFlyers2017145
Felix SandstromFlyersFlyers
Filip SveningssonFlyersFlyers2017205
Josh NodlerFlyersFlyers2019163
Julius VahataloFlyersFlyers
Kerby RychelFlyersFlyers
Kyle CapobiancoFlyersFlyers
Liam DundaFlyersFlyers
Logan StanleyFlyersFlyers
MacKenzie EntwistleFlyersFlyers201779
Marcus KarlbergFlyersFlyers201882
Marcus PetterssonFlyersFlyers
Martins DzierkalsFlyersFlyers
Mikael HakkarainenFlyersFlyers2018141
Mike WilliamsonFlyersFlyers
Mikhail GrigorenkoFlyersFlyers
Milan KloucekFlyersFlyers2018203
Nikita AlexandrovFlyersFlyers201970
Noah DobsonFlyersFlyers201810
Olle LycksellFlyersFlyers2017175
Quinn SchmiemannFlyersFlyers2019194
Ryan ManthaFlyersFlyers
Santeri AirolaFlyersFlyers2019214
Sergey ZborovskiyFlyersFlyers
Theodor BluegerFlyersFlyers
Tyrell GoulbourneFlyersFlyers
Vitek VanecekFlyersFlyers
Yegor RykovFlyersFlyers

Injuries
No Injury or Suspension.

Game Center

Flyers10-7-3, 23pts51Final
Senators10-5-5, 25pts

Islanders10-5-3, 23pts12Final
Flyers10-7-3, 23pts

Flyers10-7-3, 23ptsWed, Nov 20Bank Atlantic Center
Panthers9-11-0, 18pts

Flyers10-7-3, 23ptsFri, Nov 22RBC Center
Hurricanes10-7-3, 23pts

Flames4-15-4, 12ptsSun, Nov 24Wachovia Center
Flyers10-7-3, 23pts

Team Leaders

GOALS
Connor McDavid
8
ASSISTS
Connor McDavid
13
POINTS
Connor McDavid
21
PLUS/MINUS
Connor McDavid
6
WINS
Pekka Rinne
9
SV%
Pekka Rinne
0.937

Team Stats


Goals For
44
2.20 GFG
Shots For
587
29.35 Avg
Power Play Percentage
20.3%
15 GF
Offensive Zone Start
48.1%
Goals Against
44
2.20 GAA
Shots Against
641
32.05 Avg
Penalty Kill Percentage
71.0%
20 GA
Defensive Zone Start
51.9%
 

Team Info

Flyers
General ManagerMarc-Andre Girard
Head Coach
ConferenceConference Est
DivisionMetropolitain

Flyers Affiliation

Flyers
Team NamePhiladelphie
CityPhiladelphie
Head Coach
DivisionAtlantique

Arena Info

StadiumWachovia Center
Capacity18,000
Attendance17,063
Season Tickets7,200

Salary Cap

Total Cap Hit69,447,167$
Cap Hit Percentage87.35%
Projected Cap Space10,052,833$
Retains & Buyout0$

Finance

Team Revenue6,080,203$
Estimated Revenue24,928,832$
Estimated Expenses69,421,386$
Operating Income-44,492,554$
Bank Account-288,122,730$

Team History

Playoff Appearances0
Playoff Record (W-L)0-
Stanley Cup0

Entry Draft