object(SQLite3Result)#20 (0) { }
Final
TOR3
LAK0
Final
VAN3
NAS1
Full Scoreboard »»
FlyersPhiladelphia Flyers
4-2-3, 11pts · 7th in Eastern Conference
Roster
Player Position CD CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO OV Age Contract
Nathan MacKinnon (C)C/LW/RW100.006046799376878292669292717879850802811,200,000$/3yrs
Evgeni MalkinC/LW/RW100.006145678176768383708475697192930743711,250,000$/1yrs
Chris KreiderC/LW/RW100.00714580898375898450628071698086073327,550,000$/1yrs
Pierre-Luc Dubois (A)C/LW/RW100.00644768848376848072747568786963072256,750,000$/2yrs
Travis Konecny (A)LW/RW100.00624866836479808349767665717166071266,500,000$/1yrs
J.T. CompherC/LW/RW100.00494778787179907075686274716863067283,250,000$/1yrs
Conor ShearyLW/RW100.00624580776369856849646867687267066311,050,000$/1yrs
Jordan MartinookC/LW100.00684764727264807249586271617380065311,050,000$/1yrs
Craig SmithC/LW/RW100.00674570737756685648546061638475061341,050,000$/1yrs
Emil BemstromC/LW/RW100.00554585767055566949595860585253061241,100,000$/3yrs
Evgenii DadonovLW/RW100.00554580656766786048685760597166061341,100,000$/1yrs
Eric RobinsonLW/RW100.00744585697562725248575461556059060281,050,000$/1yrs
Hampus LindholmD100.00584573818186876746695986607771072292,500,000$/1yrs
Ryan SuterD100.00564579778083947246605077499985068384,170,000$/1yrs
Jamie OleksiakD100.00736566729677846046515480567267067301,970,000$/1yrs
Justin HollD100.00744675698481896046525177516160066311,810,000$/2yrs
Jake WalmanD100.00584772686574716746485881585052064271,750,000$/2yrs
Scott MayfieldD100.00685067698881894946525076496863064312,070,000$/1yrs
Scratches
Alexander Rykov (R)RW100.0045454545454545454545454545454504518750,000$/1yrs
Erik GudbransonD100.00715967728780845546485065497972063312,070,000$/1yrs
TEAM AVERAGE100.00634872757573806752626269617169066
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO OV AGE CONTRACT
Carter Hart0100.0085807757838981847975817171078252,500,000$/1yrs
Laurent Brossoit0100.007258608372676867597569646406730750,000$/1yrs
Scratches
TEAM AVERAGE100.0079696970787875766975756868073
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
General Manager
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 PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Nathan MacKinnonFlyersFlyers0C/LW/RW9291135510337206.06%818.9302200000050.26%19373001.2903
2Chris KreiderFlyersFlyers0C/LW/RW96391002147112612.77%518.6810100040250.00%14104001.0700
3Pierre-Luc DuboisFlyersFlyers0C/LW/RW94484602432181912.50%717.0610100001154.70%18144001.0423
4J.T. CompherFlyersFlyers0C/LW/RW925762051981610.53%314.34000000220050.89%11231001.0801
5Jordan MartinookFlyersFlyers0C/LW9437675161841322.22%414.56011000230142.86%764001.0700
6Evgeni MalkinFlyersFlyers0C/LW/RW951633515283221215.63%518.5510100002047.62%2155000.7201
7Evgenii DadonovFlyersFlyers0LW/RW92247001294322.22%214.68000000230050.00%412000.6100
8Hampus LindholmFlyersFlyers0D922426012203810.00%1624.2010100024010.00%0310000.3700
9Scott MayfieldFlyersFlyers0D904401210173140.00%816.4400000011000.00%002000.5400
10Travis KonecnyFlyersFlyers0LW/RW9224311520237128.70%417.6600000001050.00%1050000.5003
11Conor ShearyFlyersFlyers0LW/RW903324015133110.00%217.4301100010036.36%1144000.3800
12Justin HollFlyersFlyers0D9033311596450.00%1019.3000000020000.00%027000.3500
13Jake WalmanFlyersFlyers0D9022160115250.00%1620.6100000023000.00%023000.2200
14Jamie OleksiakFlyersFlyers0D9011445151810740.00%2020.6900000017000.00%0311000.1100
15Ryan SuterFlyersFlyers0D9011155911550.00%1320.770110002000.00%005000.1100
16Craig SmithFlyersFlyers0C/LW/RW9000-52095450.00%28.0100000000033.33%351000.0000
17Emil BemstromFlyersFlyers0C/LW/RW9000-520612570.00%210.47000000210038.30%4740000.0000
18Eric RobinsonFlyersFlyers0LW/RW9000-500126020.00%07.6700000000033.33%310000.0000
Team Total or Average1622945743115965254304951779.54%12716.674592050001974550.17%6066566000.55211
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
1Carter HartFlyersFlyers73220.9292.38429001723999000.625872011
2Laurent BrossoitFlyersFlyers21010.8643.841250085926000.333327000
Team Total or Average94230.9162.715540025298125000.5451199011
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
1FlyersCanucks1010000013-200.00012300010034171520298428500.00%20100.00%010721549.77%11023646.61%8714161.70%221219917825.0%2.9%89.7%92.6Unlucky
2FlyersHurricanes1000100043121.000459001021357111522513282811100.00%4175.00%010721549.77%11023646.61%8714161.70%201223917760.0%11.4%88.0%99.4FUN
3FlyersDucks1100000052321.000591400023033410190311119314125.00%20100.00%010721549.77%11023646.61%8714161.70%211221917866.7%15.2%93.5%108.7LUCKY
4FlyersStars1000100032121.0003580002014132512136204329200.00%40100.00%010721549.77%11023646.61%8714161.70%231320916860.0%7.3%94.4%101.8DULL
5FlyersOilers1100000042221.000448002020311966031121019100.00%50100.00%010721549.77%11023646.61%8714161.70%1911231016766.7%12.9%93.5%106.5LUCKY
6FlyersBlue Jackets1000000134-110.500369001021369817733101630400.00%3233.33%010721549.77%11023646.61%8714161.70%2513199201060.0%8.3%87.9%96.2Unlucky
7FlyersWild1000000156-110.50059140011313271963341322254250.00%6350.00%010721549.77%11023646.61%8714161.70%221223919950.0%15.6%82.4%98.0FUN
8FlyersSenators1010000023-100.0002240002003271114040221132300.00%3166.67%010721549.77%11023646.61%8714161.70%221322815750.0%6.3%92.5%98.8DULL
9FlyersGolden Knights1000000123-110.50023500011030881343918632200.00%30100.00%010721549.77%11023646.61%8714161.70%221322919840.0%6.7%92.3%99.0DULL
_Vs Division2000100177030.75071118002042711619329582344585120.00%7357.14%010721549.77%11023646.61%8714161.70%45254319371860.0%9.9%87.9%97.8FUN
_Vs Conference30101001910-130.500913220022421032330469984555908112.50%10460.00%010721549.77%11023646.61%8714161.70%67396528522657.1%8.7%89.8%98.5Unlucky
_Since Last GM Reset9220200329281110.6112945740059134304811131041729812715925426415.38%32778.13%010721549.77%11023646.61%8714161.70%199115197851607754.3%9.5%90.6%100.1FUN
Total9220200329281110.6112945740059134304811131041729812715925426415.38%32778.13%010721549.77%11023646.61%8714161.70%199115197851607754.3%9.5%90.6%100.1FUN

Puck Time
Offensive Zone 22
Neutral Zone 17
Defensive Zone 21
Puck Time
Offensive Zone Start 215
Neutral Zone Start 141
Defensive Zone Start 236
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 304
Faceoffs Lost 288
Team Average Shots after League Average Shots after
1st Period 9.09.57
2nd Period 21.620.31
3rd Period 33.130.68
Overtime 35.031.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.60.64
2nd Period 1.61.65
3rd Period 3.02.67
Overtime 3.42.83
Even Strenght Goal 25
PP Goal 4
PK Goal 0
Empty Net Goal 0
Home Away
Win 13
Lost 11
Overtime Lost 21
PP Attempt 26
PP Goal 4
PK Attempt 32
PK Goal Against 7
Home
Shots For 33.8
Shots Against 33.1
Goals For 3.2
Goals Against 3.1
Hits 28.2
Shots Blocked 14.1
Pim 17.7
Cap Hit
Flyers
Projected Total Cap Hit$0
Projected Cap Space$79,500,000
Retains And Buyout Cap Hit$0
Salary Cap To Date$0
Players In Salary CapArray0
Contracts51/50
LTIR Players0
Flyers Roster Pos Age Cap Hit 13-14 14-15 15-16 16-17
Alexander Rykov RW18$750,000$750,000
Carter Hart G25$2,500,000$2,500,000
Chris Kreider C/LW/RW32$7,550,000$7,550,000
Conor Sheary LW/RW31$1,050,000$1,050,000
Craig Smith C/LW/RW34$1,050,000$1,050,000
Emil Bemstrom C/LW/RW24$1,100,000$1,100,000 $1,100,000 $1,100,000
Eric Robinson LW/RW28$1,050,000$1,050,000
Erik Gudbranson D31$2,070,000$2,070,000
Evgeni Malkin C/LW/RW37$11,250,000$11,250,000
Evgenii Dadonov LW/RW34$1,100,000$1,100,000
Hampus Lindholm D29$2,500,000$2,500,000
J.T. Compher C/LW/RW28$3,250,000$3,250,000
Jake Walman D27$1,750,000$1,750,000 $1,750,000
Jamie Oleksiak D30$1,970,000$1,970,000
Jordan Martinook C/LW31$1,050,000$1,050,000
Justin Holl D31$1,810,000$1,810,000 $1,810,000
Laurent Brossoit G30$750,000$750,000
Nathan MacKinnon C/LW/RW28$11,200,000$11,200,000 $11,200,000 $11,200,000
Pierre-Luc Dubois C/LW/RW25$6,750,000$6,750,000 $6,750,000
Ryan Suter D38$4,170,000$4,170,000
Scott Mayfield D31$2,070,000$2,070,000
Travis Konecny LW/RW26$6,500,000$6,500,000
Non-Roster Pos Age Cap Hit 13-14 14-15 15-16 16-17
Aliaksei Protas C22$1,100,000$1,100,000
Brennan Othmann LW/RW20$750,000$750,000
Eemil Viro D21$750,000$750,000
Elias Salomonsson D19$750,000$750,000 $750,000
Gavin Brindley C19$750,000$750,000
Gavin Hayes RW19$750,000$750,000 $750,000
Jake Leschyshyn C24$1,100,000$1,100,000 $1,100,000
Jakub Lauko C/RW23$750,000$750,000 $750,000
Jamieson Rees C22$750,000$750,000 $750,000
Jan Mysak C21$750,000$750,000 $750,000
Jay O'Brien C24$750,000$750,000
Jayden Struble D22$750,000$750,000 $750,000
Jesse Nurmi LW18$750,000$750,000
Joni Ikonen C24$750,000$750,000
Karl Henriksson C22$750,000$750,000
Kasper Halttunen RW18$750,000$750,000
Kasper Puutio D21$750,000$750,000
Kevin Bahl D23$750,000$750,000 $750,000
Logan Cooley C/LW19$750,000$750,000 $750,000
Nick Lardis LW18$750,000$750,000
Prokhor Poltapov LW20$750,000$750,000
Quinton Burns D18$750,000$750,000
Robin Salo D25$1,100,000$1,100,000 $1,100,000 $1,100,000
Sergei Murashov G19$750,000$750,000 $750,000
Tyler Kleven D21$750,000$750,000 $750,000
Tyson Jost C/LW/RW25$750,000$750,000 $750,000
Ville Heinola D22$1,100,000$1,100,000
Vitali Kravtsov RW23$1,100,000$1,100,000
Wyatt Johnston C20$750,000$750,000

Lines
Forward Lines

Evgeni Malkin

Nathan MacKinnon

Travis Konecny

Chris Kreider

Pierre-Luc Dubois

Conor Sheary

Jordan Martinook

J.T. Compher

Evgenii Dadonov

Craig Smith

Emil Bemstrom

Eric Robinson

Defensive Pairings

Hampus Lindholm

Ryan Suter

Jamie Oleksiak

Justin Holl

Jake Walman

Scott Mayfield

1st Power Play Unit

Evgeni Malkin

Nathan MacKinnon

Chris Kreider

Hampus Lindholm

Ryan Suter

2nd Power Play Unit

Travis Konecny

Pierre-Luc Dubois

Conor Sheary

Jake Walman

Jamie Oleksiak

Goalies

Laurent Brossoit

Carter Hart

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
1FlyersCanucks1010000013-200.00012300010034171520298428500.00%20100.00%010721549.77%11023646.61%8714161.70%221219917825.0%2.9%89.7%92.6Unlucky
2FlyersHurricanes1000100043121.000459001021357111522513282811100.00%4175.00%010721549.77%11023646.61%8714161.70%201223917760.0%11.4%88.0%99.4FUN
3FlyersDucks1100000052321.000591400023033410190311119314125.00%20100.00%010721549.77%11023646.61%8714161.70%211221917866.7%15.2%93.5%108.7LUCKY
4FlyersStars1000100032121.0003580002014132512136204329200.00%40100.00%010721549.77%11023646.61%8714161.70%231320916860.0%7.3%94.4%101.8DULL
5FlyersOilers1100000042221.000448002020311966031121019100.00%50100.00%010721549.77%11023646.61%8714161.70%1911231016766.7%12.9%93.5%106.5LUCKY
6FlyersBlue Jackets1000000134-110.500369001021369817733101630400.00%3233.33%010721549.77%11023646.61%8714161.70%2513199201060.0%8.3%87.9%96.2Unlucky
7FlyersWild1000000156-110.50059140011313271963341322254250.00%6350.00%010721549.77%11023646.61%8714161.70%221223919950.0%15.6%82.4%98.0FUN
8FlyersSenators1010000023-100.0002240002003271114040221132300.00%3166.67%010721549.77%11023646.61%8714161.70%221322815750.0%6.3%92.5%98.8DULL
9FlyersGolden Knights1000000123-110.50023500011030881343918632200.00%30100.00%010721549.77%11023646.61%8714161.70%221322919840.0%6.7%92.3%99.0DULL
_Vs Division2000100177030.75071118002042711619329582344585120.00%7357.14%010721549.77%11023646.61%8714161.70%45254319371860.0%9.9%87.9%97.8FUN
_Vs Conference30101001910-130.500913220022421032330469984555908112.50%10460.00%010721549.77%11023646.61%8714161.70%67396528522657.1%8.7%89.8%98.5Unlucky
_Since Last GM Reset9220200329281110.6112945740059134304811131041729812715925426415.38%32778.13%010721549.77%11023646.61%8714161.70%199115197851607754.3%9.5%90.6%100.1FUN
Total9220200329281110.6112945740059134304811131041729812715925426415.38%32778.13%010721549.77%11023646.61%8714161.70%199115197851607754.3%9.5%90.6%100.1FUN

Puck Time
Offensive Zone 22
Neutral Zone 17
Defensive Zone 21
Puck Time
Offensive Zone Start 215
Neutral Zone Start 141
Defensive Zone Start 236
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 304
Faceoffs Lost 288
Team Average Shots after League Average Shots after
1st Period 9.09.57
2nd Period 21.620.31
3rd Period 33.130.68
Overtime 35.031.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.60.64
2nd Period 1.61.65
3rd Period 3.02.67
Overtime 3.42.83
Even Strenght Goal 25
PP Goal 4
PK Goal 0
Empty Net Goal 0
Home Away
Win 13
Lost 11
Overtime Lost 21
PP Attempt 26
PP Goal 4
PK Attempt 32
PK Goal Against 7
Home
Shots For 33.8
Shots Against 33.1
Goals For 3.2
Goals Against 3.1
Hits 28.2
Shots Blocked 14.1
Pim 17.7
Schedule
DateMatchup Result Detail
Tue, Mar 1FlyersCBJ@FlyersPHICBJ4,PHI3 (SO)RECAP
Thu, Mar 3FlyersOTT@FlyersPHIOTT3,PHI2RECAP
Sun, Mar 6FlyersPHI@FlyersVANPHI1,VAN3RECAP
Tue, Mar 8FlyersPHI@FlyersEDMPHI4,EDM2RECAP
Thu, Mar 10FlyersDAL@FlyersPHIDAL2,PHI3 (OT)RECAP
Sun, Mar 13FlyersVGK@FlyersPHIVGK3,PHI2 (SO)RECAP
Tue, Mar 15FlyersPHI@FlyersMINPHI5,MIN6 (SO)RECAP
Thu, Mar 17FlyersPHI@FlyersANAPHI5,ANA2RECAP
Sat, Mar 19FlyersPHI@FlyersCARPHI4,CAR3 (OT)RECAP
Mon, Mar 21FlyersPHI@FlyersBUF
Wed, Mar 23FlyersBUF@FlyersPHI
Thu, Mar 24FlyersPHI@FlyersLAK
Sun, Mar 27FlyersSJS@FlyersPHI
Wed, Mar 30FlyersANA@FlyersPHI
Thu, Mar 31FlyersLAK@FlyersPHI
Mon, Apr 4FlyersCAR@FlyersPHI
Thu, Apr 7FlyersPHI@FlyersVGK
Fri, Apr 8FlyersPHI@FlyersCBJ
Mon, Apr 11FlyersNYI@FlyersPHI
Wed, Apr 13FlyersPHI@FlyersNYR
Thu, Apr 14FlyersNYI@FlyersPHI
Sun, Apr 17FlyersPHI@FlyersCAR
Tue, Apr 19FlyersPHI@FlyersNJD
Thu, Apr 21FlyersPIT@FlyersPHI
Sat, Apr 23FlyersPHI@FlyersPIT
Tue, Apr 26FlyersARI@FlyersPHI
Thu, Apr 28FlyersCOL@FlyersPHI
Sun, May 1FlyersNAS@FlyersPHI
Tue, May 3FlyersPHI@FlyersWAS
Thu, May 5FlyersPHI@FlyersDET
Sun, May 8FlyersNJD@FlyersPHI
Tue, May 10FlyersPHI@FlyersNAS
Wed, May 11FlyersDET@FlyersPHI
Tue, May 17FlyersVAN@FlyersPHI
Wed, May 18FlyersSEA@FlyersPHI
Fri, May 20FlyersCGY@FlyersPHI
Sun, May 22FlyersEDM@FlyersPHI
Tue, May 24FlyersPHI@FlyersCBJ
Thu, May 26FlyersPHI@FlyersCGY
Sat, May 28FlyersPHI@FlyersPIT
Mon, May 30FlyersPHI@FlyersMTL
Wed, Jun 1FlyersMIN@FlyersPHI
Thu, Jun 2FlyersWPG@FlyersPHI
Sat, Jun 4FlyersSTL@FlyersPHI
Tue, Jun 7FlyersPHI@FlyersDAL
Thu, Jun 9FlyersPHI@FlyersCOL
Fri, Jun 10FlyersPHI@FlyersOTT
Sun, Jun 12FlyersPHI@FlyersTBL
Tue, Jun 14FlyersDET@FlyersPHI
Thu, Jun 16FlyersPHI@FlyersBOS
Sun, Jun 26FlyersFLA@FlyersPHI
Tue, Jun 28FlyersPHI@FlyersWPG
Thu, Jun 30FlyersPHI@FlyersSEA
Sat, Jul 2FlyersPHI@FlyersARI
Tue, Jul 5FlyersTOR@FlyersPHI
Thu, Jul 7FlyersNJD@FlyersPHI
Mon, Jul 11FlyersCHI@FlyersPHI
Thu, Jul 14FlyersPHI@FlyersNYR
Fri, Jul 15FlyersPIT@FlyersPHI
Sun, Jul 17FlyersPHI@FlyersTBL
Wed, Jul 20FlyersWAS@FlyersPHI
Thu, Jul 21FlyersPHI@FlyersOTT
Sat, Jul 23FlyersPHI@FlyersSTL
Tue, Jul 26FlyersFLA@FlyersPHI
Thu, Jul 28FlyersTBL@FlyersPHI
Sun, Jul 31FlyersPHI@FlyersSJS
Tue, Aug 2FlyersPHI@FlyersTOR
Thu, Aug 4FlyersBOS@FlyersPHI
Sun, Aug 7FlyersPHI@FlyersTOR
Tue, Aug 9FlyersCAR@FlyersPHI
Thu, Aug 11FlyersPHI@FlyersBOS
Fri, Aug 12FlyersPHI@FlyersFLA
Sun, Aug 14FlyersNYR@FlyersPHI
Tue, Aug 16FlyersMTL@FlyersPHI
Thu, Aug 18FlyersPHI@FlyersCHI
Sat, Aug 20FlyersPHI@FlyersNYI
Wed, Aug 24FlyersBUF@FlyersPHI
Thu, Aug 25FlyersCBJ@FlyersPHI
Sun, Aug 28FlyersMTL@FlyersPHI
Tue, Aug 30FlyersNYR@FlyersPHI
Thu, Sep 1FlyersPHI@FlyersNJD
Sun, Sep 4FlyersPHI@FlyersWAS

Finance
Salary Cap
Players Total Salaries Retained Salary Total Cap Hit Estimated Cap Space
$73,240,000 $0 $0 $79,500,000

Arena Goal Horn About us
Name Wells Fargo Center
City Philadelphia
Capacity 18000
Season Ticket Holders 40%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price$100$60$35$25$200
Attendance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games Left Average Attendance - % Average Income per Game Year to Date Revenue Arena Capacity Team Popularity
37 0 - 0.00% $0$018000100

Expenses
Players Total Salaries Players Total Average Salaries Coaches Salaries Special Salary Cap Value
$73,240,000 $73,240,000 $0 $0
Year To Date Expenses Salary Cap Per Days Salary Cap To Date Luxury Taxe Total
$0 $0 $0 $0

Estimate
Estimated Season Revenue Remaining Season Days Expenses Per Days Estimated Season Expenses
$0 170 $381,458 $64,847,860

Team Total Estimate
Estimated Season Expenses Estimated Season Salary Cap Current Bank Account Projected Bank Account
$64,847,860 $0 $70,000,000 $5,152,140
Depth Chart Rising Star Franchise Player RookieInjured Cold Streak Hot Streak
Left Wing Center Right Wing
Evgeni MalkinAGE:37FlyersRUS
Nathan MacKinnonAGE:28FlyersCAN
Chris KreiderAGE:32FlyersUSA
Pierre-Luc DuboisAGE:25FlyersCAN
Travis KonecnyAGE:26FlyersCAN
J.T. CompherAGE:28FlyersUSA
Emil BemstromAGE:24FlyersSWE
Evgenii DadonovAGE:34FlyersRUS
Conor ShearyAGE:31FlyersUSA
Craig SmithAGE:34FlyersUSA
Eric RobinsonAGE:28FlyersUSA
Jordan MartinookAGE:31FlyersCAN
Logan CooleyAGE:19FlyersUSA
Jesse NurmiAGE:18FlyersFIN
Nick LardisAGE:18FlyersCAN
Tyson JostAGE:25FlyersCAN
Brennan OthmannAGE:20FlyersCAN
Prokhor PoltapovAGE:20FlyersRUS
Evgeni MalkinAGE:37FlyersRUS
Nathan MacKinnonAGE:28FlyersCAN
Chris KreiderAGE:32FlyersUSA
Pierre-Luc DuboisAGE:25FlyersCAN
J.T. CompherAGE:28FlyersUSA
Emil BemstromAGE:24FlyersSWE
Aliaksei ProtasAGE:22FlyersBEL
Jake LeschyshynAGE:24FlyersCAN
Craig SmithAGE:34FlyersUSA
Jordan MartinookAGE:31FlyersCAN
Logan CooleyAGE:19FlyersUSA
Gavin BrindleyAGE:19FlyersUSA
Jakub LaukoAGE:23FlyersCZE
Jamieson ReesAGE:22FlyersCAN
Jay O'BrienAGE:24FlyersUSA
Joni IkonenAGE:24FlyersFIN
Karl HenrikssonAGE:22FlyersSWE
Tyson JostAGE:25FlyersCAN
Wyatt JohnstonAGE:20FlyersCAN
Jan MysakAGE:21FlyersCZE
Evgeni MalkinAGE:37FlyersRUS
Nathan MacKinnonAGE:28FlyersCAN
Chris KreiderAGE:32FlyersUSA
Pierre-Luc DuboisAGE:25FlyersCAN
Travis KonecnyAGE:26FlyersCAN
J.T. CompherAGE:28FlyersUSA
Emil BemstromAGE:24FlyersSWE
Evgenii DadonovAGE:34FlyersRUS
Vitali KravtsovAGE:23FlyersRUS
Conor ShearyAGE:31FlyersUSA
Craig SmithAGE:34FlyersUSA
Eric RobinsonAGE:28FlyersUSA
Alexander RykovAGE:18FlyersRUS
Gavin HayesAGE:19FlyersUSA
Kasper HalttunenAGE:18FlyersFIN
Jakub LaukoAGE:23FlyersCZE
Tyson JostAGE:25FlyersCAN
Brennan OthmannAGE:20FlyersCAN

Defense #1 Defense #2 Goalie
Ryan SuterAGE:38FlyersUSA
Hampus LindholmAGE:29FlyersSWE
Scott MayfieldAGE:31FlyersUSA
Erik GudbransonAGE:31FlyersCAN
Jamie OleksiakAGE:30FlyersCAN
Justin HollAGE:31FlyersUSA
Jake WalmanAGE:27FlyersCAN
Robin SaloAGE:25FlyersFIN
Ville HeinolaAGE:22FlyersFIN
Elias SalomonssonAGE:19FlyersSWE
Quinton BurnsAGE:18FlyersCAN
Eemil ViroAGE:21FlyersFIN
Jayden StrubleAGE:22FlyersUSA
Kasper PuutioAGE:21FlyersFIN
Kevin BahlAGE:23FlyersCAN
Tyler KlevenAGE:21FlyersUSA
Carter HartAGE:25FlyersCAN
Laurent BrossoitAGE:30FlyersCAN
Sergei MurashovAGE:19FlyersRUS

Draft Picks
Year Round 1Round 2Round 3Round 4
4
5
6
7
8

** 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
Draft Picks
Year Round 1Round 2Round 3Round 4
4
5
6
7
8

** 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
News










































































Injuries
No Injury or Suspension.

Game Center

Flyers4-2-3, 11pts52Final
Ducks2-4-3, 7pts

Flyers4-2-3, 11pts43Final
Hurricanes5-3-2, 12pts

Flyers4-2-3, 11ptsMon, Mar 21KeyBank Center
Sabres3-5-1, 7pts

Sabres3-5-1, 7ptsWed, Mar 23Wells Fargo Center
Flyers4-2-3, 11pts

Flyers4-2-3, 11ptsThu, Mar 24Crypto.com Arena
Kings6-2-1, 13pts

Team Leaders

GOALS
Chris Kreider
6
ASSISTS
Nathan MacKinnon
9
POINTS
Nathan MacKinnon
11
PLUS/MINUS
Evgenii Dadonov
7
WINS
Carter Hart
3
SV%
Carter Hart
0.929

Team Stats


Goals For
29
3.22 GFG
Shots For
304
33.78 Avg
Power Play Percentage
15.4%
4 GF
Offensive Zone Start
47.7%
Goals Against
28
3.11 GAA
Shots Against
298
33.11 Avg
Penalty Kill Percentage
78.1%
7 GA
Defensive Zone Start
52.3%

Injury status

Player POS Status Injury Out For Expected Return
 

Philadelphia Flyers Info

Flyers
General Manager
Head Coach
ConferenceEastern Conference
DivisionMetropolitan

AHL Affiliation

Flyers
Team NamePhantoms
CityLehigh Valley
Head Coach
DivisionDivision 2

Arena Info

StadiumWells Fargo Center
Capacity18,000
Attendance0
Season Tickets7,200

Roster Info

Active Roster22/23
Contract Limit51/50
Prospects & Player's Rights0
Reserve List51/90

Salary Cap

Total Cap Hit$0
Cap Hit Percentage0%
Projected Cap Space$79,500,000
Retains & Buyout$0

Team History

34-2-3 (11PTS)
Record (W-L-OTL)88-63-22 (198PTS)
Playoff Appearances0
Playoff Record (W-L)0-
Stanley Cup0

Entry Draft