Philadelphia Flyers

GP: 82 | W: 40 | L: 33 | OTL: 9 | P: 89
GF: 242 | GA: 246 | PP%: 18.15% | PK%: 78.98%
GM : Kriss Cardenas | Morale : 50 | Team Overall : 73

Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Mikko RantanenX99.006938858289889286628488678569768350770
2Jonathan HuberdeauX99.006643837880889283628978638175787450750
3T.J. OshieXXX100.007937897672918777697581678285784350740
4Ryan StromeXX99.005838787478908976808373748075707350730
5David PerronXX100.006846817374889075598278637682794850720
6Paul StastnyXX100.006639867371879075877372697386773450710
7Joel ArmiaX100.008838837086858069576872817375697050710
8Colton SceviourXXX100.008035946872748866786763816280723750690
9Liam Foudy (R)XXX100.006235937679828073776962687263668350680
10Trevor Zegras (R)XX100.005442847671838578797367627661648850680
11Filip ZadinaXX100.005735957672838774637168607763668850680
12Jacob de la RoseXX100.008735926486857866816561736272697350670
13Alexander EdlerX99.008256706586908668307759895285793350750
14Mikhail SergachevX100.008072787687899174308169765765688550740
15Erik JohnsonX100.008242876591897863307459885582795450740
16Travis HamonicX100.007239766481898263307262845179715550720
17Kevin ShattenkirkX100.006943837075888973307764655380725450700
18Steven KampferX100.007735946472787362307061735282733650680
Scratches
1Oscar FantenbergX100.008435956476737963307058715078703550680
TEAM AVERAGE99.79734186717985857256756872677672605071
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Philipp Grubauer100.00979188759695979695979678845550890
2Anthony Stolarz98.00828683958180828180828173776250800
Scratches
TEAM AVERAGE99.0090898685898890898890897681595085
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Rod Brind'Amour86928784757075CAN5131,000,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Mikko RantanenPhiladelphia FlyersRW8242438544601751503428424012.28%7170420.7981422842890000473544.62%25100031.00310000776
2Ryan StromePhiladelphia FlyersC/RW82185270510063256230661857.83%20196123.92219215428101193303049.30%272400000.7138000527
3Jonathan HuberdeauPhiladelphia FlyersLW83253257144751291142206511711.36%8165919.99391246312000036244.64%11200000.6916001434
4Alexander EdlerPhiladelphia FlyersD7614365081301018911973264919.18%115174422.956814411890000227200.00%000000.5700101035
5Mikhail SergachevPhiladelphia FlyersD8210394912145452039613133707.63%84192423.4751015812850110240110.00%000000.5100324033
6T.J. OshiePhiladelphia FlyersC/LW/RW821924434880179105221471568.60%11147317.9743758247000006046.53%30300010.5828000323
7David PerronPhiladelphia FlyersLW/RW85182341-134015378186451639.68%8146417.23671346255000072142.86%8400000.5600000241
8Paul StastnyPhiladelphia FlyersC/LW822020401080811321644511312.20%5120214.664593718701121005052.52%129100100.6700000222
9Joel ArmiaPhiladelphia FlyersRW83191837185201731001554811012.26%18122114.71112166020272464041.90%10500000.6125000043
10Erik JohnsonPhiladelphia FlyersD812303205601491438033532.50%120189923.45134401370110240000.00%000000.3400000141
11Travis HamonicPhiladelphia FlyersD8472229-6540140917318479.59%121160419.10224241150000220120.00%000000.3600000022
12Kevin ShattenkirkPhiladelphia FlyersD8152328538074486526437.69%63148618.352573125500014310100.00%100000.3800000001
13Trevor ZegrasPhiladelphia FlyersC/LW8112142631810178212138879.92%688210.893251441000002049.91%53300010.5900002103
14Colton SceviourPhiladelphia FlyersC/LW/RW79412161318049887618765.26%157809.880001300041660148.39%49600100.4100000011
15Steven KampferPhiladelphia FlyersD680121222205639155190.00%4397414.34000010000121000.00%000000.2500000000
16Filip ZadinaPhiladelphia FlyersLW/RW82459-2408496515546.15%05716.9700000000002137.50%2400000.3213000111
17Jacob de la RosePhiladelphia FlyersC/LW82639-238083284983412.24%55306.47000000000120055.43%9200000.3400000110
18Liam FoudyPhiladelphia FlyersC/LW/RW36257-1004223412185.88%02416.7000008000041041.72%15100000.5800000000
19Oscar FantenbergPhiladelphia FlyersD41055-31604627142150.00%4660114.6800029000035000.00%000000.1700000000
20Nikolai KnyzhovPhantoms (Phi)D70110751212030.00%710815.5300001000015000.00%000000.1800010000
21Marian StudenicPhantoms (Phi)RW1000000000010.00%066.230000000000000.00%000000.0000000000
Team Total or Average1460227419646838317519831768231663416539.80%7022404416.4747881355752683246232064391349.20%616700250.541240438273943
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
1Philipp GrubauerPhiladelphia Flyers60302440.8903.0833676217315680110.687166022730
2Anthony StolarzPhiladelphia Flyers73120.9102.6039200171890000.70010513100
Team Total or Average67332560.8923.0337606219017570110.692266535830


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Alexander EdlerD351986-04-21No212 Lbs6 ft3NoNoNo4UFAPro & Farm2,000,000$2,000,000$0$NoLink / NHL Link
Anthony StolarzG281994-01-20No230 Lbs6 ft5NoNoNo2UFAPro & Farm500,000$500,000$0$NoLink / NHL Link
Colton SceviourC/LW/RW321989-04-20No190 Lbs6 ft0NoNoNo4UFAPro & Farm1,000,000$1,000,000$0$NoLink / NHL Link
David PerronLW/RW331988-05-28No200 Lbs6 ft0NoNoNo1UFAPro & Farm3,500,000$3,500,000$0$NoLink / NHL Link
Erik JohnsonD341988-03-21No225 Lbs6 ft4NoNoNo1UFAPro & Farm6,500,000$6,500,000$0$NoLink / NHL Link
Filip ZadinaLW/RW221999-11-27No189 Lbs6 ft0NoNoNo3ELCPro & Farm900,000$900,000$0$NoLink / NHL Link
Jacob de la RoseC/LW261995-05-20No215 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$300,000$0$NoLink / NHL Link
Joel ArmiaRW281993-05-31No212 Lbs6 ft3NoNoNo2UFAPro & Farm2,500,000$2,500,000$0$NoLink / NHL Link
Jonathan HuberdeauLW281993-06-04No202 Lbs6 ft1NoNoNo1UFAPro & Farm4,190,000$4,190,000$0$NoLink / NHL Link
Kevin ShattenkirkD331989-01-29No203 Lbs6 ft0NoNoNo3UFAPro & Farm1,920,000$1,920,000$0$NoLink / NHL Link
Liam FoudyC/LW/RW222000-02-04Yes193 Lbs6 ft2NoNoNo4ELCPro & Farm900,000$900,000$0$NoNHL Link
Mikhail SergachevD231998-06-25No216 Lbs6 ft3NoNoNo1RFAPro & Farm900,000$900,000$0$NoLink / NHL Link
Mikko RantanenRW251996-10-29No215 Lbs6 ft4NoNoNo1RFAPro & Farm5,000,000$5,000,000$0$NoLink / NHL Link
Oscar FantenbergD301991-10-07No206 Lbs6 ft0NoNoNo1UFAPro & Farm300,000$300,000$0$NoLink / NHL Link
Paul StastnyC/LW361985-12-27No193 Lbs6 ft0NoNoNo2UFAPro & Farm3,500,000$3,500,000$0$NoLink / NHL Link
Philipp GrubauerG301991-11-25No188 Lbs6 ft1NoNoNo1UFAPro & Farm5,000,000$5,000,000$0$NoLink / NHL Link
Ryan StromeC/RW281993-07-11No193 Lbs6 ft1NoNoNo2UFAPro & Farm2,500,000$2,500,000$0$NoLink / NHL Link
Steven KampferD331988-09-24No198 Lbs5 ft11NoNoNo2UFAPro & Farm750,000$750,000$0$NoLink / NHL Link
T.J. OshieC/LW/RW351986-12-23No196 Lbs5 ft11NoNoNo2UFAPro & Farm3,500,000$3,500,000$0$NoLink / NHL Link
Travis HamonicD311990-08-16No205 Lbs6 ft2NoNoNo4UFAPro & Farm2,500,000$2,500,000$0$NoLink / NHL Link
Trevor ZegrasC/LW212001-03-20Yes182 Lbs6 ft0NoNoNo4ELCPro & Farm900,000$900,000$0$NoNHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2129.19203 Lbs6 ft12.242,336,190$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
49,060,000$23,670,000$10,120,000$7,300,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonathan HuberdeauTrevor ZegrasMikko Rantanen40122
2T.J. OshieRyan StromeDavid Perron32113
3Filip ZadinaPaul StastnyJoel Armia18122
4Jacob de la RoseColton SceviourLiam Foudy10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alexander EdlerErik Johnson40122
2Mikhail SergachevKevin Shattenkirk30122
3Travis HamonicSteven Kampfer20122
4Mikhail SergachevAlexander Edler10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonathan HuberdeauT.J. OshieMikko Rantanen60122
2David PerronPaul StastnyRyan Strome40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Kevin ShattenkirkMikhail Sergachev60122
2Travis HamonicAlexander Edler40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ryan StromeJoel Armia60122
2Colton SceviourPaul Stastny40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikhail SergachevErik Johnson60122
2Alexander EdlerTravis Hamonic40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Joel Armia60122Erik JohnsonAlexander Edler60122
2Colton Sceviour40122Mikhail SergachevTravis Hamonic40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mikko RantanenRyan Strome60122
2Paul StastnyJonathan Huberdeau40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alexander EdlerErik Johnson60122
2Mikhail SergachevTravis Hamonic40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jonathan HuberdeauT.J. OshieMikko RantanenDavid PerronMikhail Sergachev
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Paul StastnyRyan StromeJoel ArmiaAlexander EdlerErik Johnson
Extra Forwards
Normal PowerPlayPenalty Kill
Jonathan Huberdeau, Mikko Rantanen, Paul StastnyJonathan Huberdeau, Mikko RantanenJoel Armia
Extra Defensemen
Normal PowerPlayPenalty Kill
Alexander Edler, Erik Johnson, Mikhail SergachevMikhail SergachevSteven Kampfer, Mikhail Sergachev
Penalty Shots
T.J. Oshie, Jonathan Huberdeau, Mikko Rantanen, Ryan Strome, David Perron
Goalie
#1 : Anthony Stolarz, #2 : Philipp Grubauer


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8289SOL124243167324162323663778182233
All Games
GPWLOTWOTL SOWSOLGFGA
8232334346242246
Home Games
GPWLOTWOTL SOWSOLGFGA
4115153323120117
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4117181023122129
Last 10 Games
WLOTWOTL SOWSOL
430012
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3255918.15%3146678.98%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7667978157481747915
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1411287449.10%1391283349.10%619128448.21%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1955134519925981035516


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
4 - 2021-10-0418Vancouver Canucks3Philadelphia Flyers4WXBoxScore
7 - 2021-10-0736Seattle Kraken4Philadelphia Flyers1LBoxScore
9 - 2021-10-0950Boston Bruins3Philadelphia Flyers2LXBoxScore
12 - 2021-10-1272Florida Panthers2Philadelphia Flyers3WXXBoxScore
16 - 2021-10-16101Philadelphia Flyers4Edmonton Oilers6LBoxScore
17 - 2021-10-17106Philadelphia Flyers2Vancouver Canucks1WBoxScore
19 - 2021-10-19125Philadelphia Flyers1Calgary Flames3LBoxScore
22 - 2021-10-22137Phoenix Coyotes4Philadelphia Flyers3LXBoxScore
24 - 2021-10-24153Philadelphia Flyers2Pittsburgh Penguins3LXXBoxScore
26 - 2021-10-26168Philadelphia Flyers3Washington Capitals2WXBoxScore
30 - 2021-10-30192Toronto Leafs2Philadelphia Flyers1LBoxScore
32 - 2021-11-01208Philadelphia Flyers5Carolina Hurricanes7LBoxScore
33 - 2021-11-02220Philadelphia Flyers1Dallas Stars2LBoxScore
36 - 2021-11-05236Calgary Flames1Philadelphia Flyers2WBoxScore
38 - 2021-11-07252Tampa Lightning4Philadelphia Flyers1LBoxScore
40 - 2021-11-09268Boston Bruins4Philadelphia Flyers2LBoxScore
43 - 2021-11-12287Philadelphia Flyers2Tampa Lightning3LBoxScore
44 - 2021-11-13291Philadelphia Flyers2Florida Panthers1WBoxScore
45 - 2021-11-14306Carolina Hurricanes3Philadelphia Flyers4WBoxScore
47 - 2021-11-16328Philadelphia Flyers6New Jersey Devils5WBoxScore
49 - 2021-11-18340New York Islanders3Philadelphia Flyers1LBoxScore
50 - 2021-11-19346Philadelphia Flyers2New York Rangers4LBoxScore
54 - 2021-11-23377Tampa Lightning1Philadelphia Flyers2WBoxScore
55 - 2021-11-24383Colorado Avalanche2Philadelphia Flyers0LBoxScore
57 - 2021-11-26398Philadelphia Flyers3New Jersey Devils4LBoxScore
59 - 2021-11-28418Philadelphia Flyers2Vegas Knights3LXXBoxScore
60 - 2021-11-29425Philadelphia Flyers4Phoenix Coyotes2WBoxScore
63 - 2021-12-02440New Jersey Devils6Philadelphia Flyers2LBoxScore
65 - 2021-12-04454Philadelphia Flyers4Montreal Canadiens5LBoxScore
67 - 2021-12-06474Ottawa Senators5Philadelphia Flyers2LBoxScore
70 - 2021-12-09496Washington Capitals2Philadelphia Flyers8WBoxScore
72 - 2021-12-11513Philadelphia Flyers1Pittsburgh Penguins2LXXBoxScore
75 - 2021-12-14550Philadelphia Flyers2Seattle Kraken1WBoxScore
76 - 2021-12-15558Philadelphia Flyers3San Jose Sharks4LBoxScore
78 - 2021-12-17573Philadelphia Flyers2Los Angeles Kings4LBoxScore
81 - 2021-12-20594Philadelphia Flyers4Anaheim Ducks7LBoxScore
83 - 2021-12-22604Pittsburgh Penguins3Philadelphia Flyers5WBoxScore
85 - 2021-12-24617San Jose Sharks3Philadelphia Flyers2LBoxScore
88 - 2021-12-27639Carolina Hurricanes5Philadelphia Flyers4LXBoxScore
90 - 2021-12-29650Philadelphia Flyers2Boston Bruins1WBoxScore
92 - 2021-12-31672New York Rangers3Philadelphia Flyers1LBoxScore
94 - 2022-01-02688Philadelphia Flyers3New York Islanders0WBoxScore
95 - 2022-01-03694Detroit Red Wings1Philadelphia Flyers5WBoxScore
97 - 2022-01-05706Columbus Jackets2Philadelphia Flyers3WXBoxScore
99 - 2022-01-07721Philadelphia Flyers0Buffalo Sabres6LBoxScore
101 - 2022-01-09739Dallas Stars0Philadelphia Flyers3WBoxScore
102 - 2022-01-10748Philadelphia Flyers3New York Islanders1WBoxScore
106 - 2022-01-14773Los Angeles Kings2Philadelphia Flyers6WBoxScore
109 - 2022-01-17800Winnipeg Jets0Philadelphia Flyers4WBoxScore
111 - 2022-01-19811Philadelphia Flyers2Detroit Red Wings5LBoxScore
114 - 2022-01-22830Washington Capitals3Philadelphia Flyers4WBoxScore
116 - 2022-01-24847St-Louis Blues3Philadelphia Flyers4WBoxScore
117 - 2022-01-25852Edmonton Oilers5Philadelphia Flyers4LXXBoxScore
119 - 2022-01-27866Minnesota Wild2Philadelphia Flyers1LBoxScore
121 - 2022-01-29881Chicago Blackhawks4Philadelphia Flyers2LBoxScore
124 - 2022-02-01903Vegas Knights3Philadelphia Flyers4WXBoxScore
126 - 2022-02-03920Philadelphia Flyers3Florida Panthers1WBoxScore
128 - 2022-02-05933Philadelphia Flyers2Carolina Hurricanes1WBoxScore
129 - 2022-02-06946Montreal Canadiens3Philadelphia Flyers5WBoxScore
133 - 2022-02-10970Nashville Predators3Philadelphia Flyers2LBoxScore
134 - 2022-02-11977Philadelphia Flyers6Ottawa Senators2WBoxScore
136 - 2022-02-13994New York Islanders1Philadelphia Flyers2WXXBoxScore
138 - 2022-02-151008Philadelphia Flyers4Detroit Red Wings2WBoxScore
140 - 2022-02-171023Philadelphia Flyers2St-Louis Blues3LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
141 - 2022-02-181031Philadelphia Flyers0Colorado Avalanche4LBoxScore
143 - 2022-02-201049Philadelphia Flyers4Nashville Predators5LBoxScore
145 - 2022-02-221065Philadelphia Flyers4Minnesota Wild3WBoxScore
149 - 2022-02-261094Toronto Leafs1Philadelphia Flyers2WBoxScore
150 - 2022-02-271103Philadelphia Flyers5New York Rangers4WXXBoxScore
152 - 2022-03-011117Columbus Jackets5Philadelphia Flyers2LBoxScore
154 - 2022-03-031130Philadelphia Flyers7Columbus Jackets4WBoxScore
156 - 2022-03-051148Anaheim Ducks1Philadelphia Flyers3WBoxScore
159 - 2022-03-081169Philadelphia Flyers6Washington Capitals4WBoxScore
160 - 2022-03-091177New York Rangers4Philadelphia Flyers6WBoxScore
163 - 2022-03-121200Philadelphia Flyers2Buffalo Sabres5LBoxScore
164 - 2022-03-131211Buffalo Sabres2Philadelphia Flyers1LXXBoxScore
166 - 2022-03-151220Philadelphia Flyers3Toronto Leafs4LBoxScore
168 - 2022-03-171233Philadelphia Flyers4Montreal Canadiens2WBoxScore
171 - 2022-03-201264Pittsburgh Penguins3Philadelphia Flyers2LBoxScore
172 - 2022-03-211271Philadelphia Flyers2Chicago Blackhawks1WBoxScore
174 - 2022-03-231286Philadelphia Flyers3Winnipeg Jets2WXXBoxScore
176 - 2022-03-251303Ottawa Senators6Philadelphia Flyers5LXXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity60005000200040001000
Ticket Price100603520200
Attendance233,029194,08076,983154,90739,143
Attendance PCT94.73%94.67%93.88%94.46%95.47%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 17028 - 94.60% 604,149$24,770,111$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
49,909,780$ 49,060,000$ 0$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
49,060,000$ 48,834,189$ 0$ 21 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 284,432$ 0$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
0$ 49,060,000$ 442,990,459$ 442,990,459$



Depth Chart

Left WingCenterRight Wing
Jonathan HuberdeauAGE:28PO:74OV:75
T.J. OshieAGE:35PO:43OV:74
David PerronAGE:33PO:48OV:72
Paul StastnyAGE:36PO:34OV:71
Colton SceviourAGE:32PO:37OV:69
*Trevor ZegrasAGE:21PO:88OV:68
Filip ZadinaAGE:22PO:88OV:68
*Liam FoudyAGE:22PO:83OV:68
Jacob de la RoseAGE:26PO:73OV:67
Charles HudonAGE:27PO:53OV:66
Michael FrolikAGE:34PO:52OV:66
Tomas JurcoAGE:29PO:62OV:63
Seth GriffithAGE:29PO:48OV:63
Cory ConacherAGE:32PO:27OV:63
Logan ShawAGE:29PO:53OV:62
Matthew StromeAGE:23PO:61OV:60
T.J. OshieAGE:35PO:43OV:74
Ryan StromeAGE:28PO:73OV:73
Paul StastnyAGE:36PO:34OV:71
Colton SceviourAGE:32PO:37OV:69
*Trevor ZegrasAGE:21PO:88OV:68
*Liam FoudyAGE:22PO:83OV:68
Jacob de la RoseAGE:26PO:73OV:67
Seth GriffithAGE:29PO:48OV:63
Cory ConacherAGE:32PO:27OV:63
Jake SlakerAGE:25PO:42OV:58
Cameron HillisAGE:21PO:66OV:57
Mikko RantanenAGE:25PO:83OV:77
T.J. OshieAGE:35PO:43OV:74
Ryan StromeAGE:28PO:73OV:73
David PerronAGE:33PO:48OV:72
Joel ArmiaAGE:28PO:70OV:71
Colton SceviourAGE:32PO:37OV:69
Filip ZadinaAGE:22PO:88OV:68
*Liam FoudyAGE:22PO:83OV:68
Charles HudonAGE:27PO:53OV:66
Michael FrolikAGE:34PO:52OV:66
Tomas JurcoAGE:29PO:62OV:63
Seth GriffithAGE:29PO:48OV:63
Cory ConacherAGE:32PO:27OV:63
Marian StudenicAGE:23PO:56OV:62
Logan ShawAGE:29PO:53OV:62
Colin McDonaldAGE:37PO:32OV:62
Nick HenryAGE:22PO:64OV:58

Defense #1Defense #2Goalie
Alexander EdlerAGE:35PO:33OV:75
Mikhail SergachevAGE:23PO:85OV:74
Erik JohnsonAGE:34PO:54OV:74
Travis HamonicAGE:31PO:55OV:72
Kevin ShattenkirkAGE:33PO:54OV:70
Steven KampferAGE:33PO:36OV:68
Oscar FantenbergAGE:30PO:35OV:68
Nikolai KnyzhovAGE:24PO:54OV:67
Cameron GaunceAGE:32PO:56OV:65
Matt TennysonAGE:31PO:34OV:64
Christian FolinAGE:31PO:34OV:63
*Cameron CrottyAGE:22PO:65OV:61
*Ryan MerkleyAGE:21PO:82OV:60
Philipp GrubauerAGE:30PO:55OV:89
Anthony StolarzAGE:28PO:62OV:80
Matt TomkinsAGE:27PO:42OV:69

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
Adam GinningPhiladelphia Flyers1461
Artemi KniazevPhiladelphia Flyers1566
Cam HillisPhiladelphia Flyers14104
Colin WilsonPhiladelphia Flyers
Ethan HaiderPhiladelphia Flyers15185
Helge GransPhiladelphia Flyers1629
Jakob RagnarssonPhiladelphia Flyers14103
Trevor JanickePhiladelphia Flyers15119

Draft Picks

Year R1R2R3R4R5R6
17Was
18Was
19Phi New
20Phi Car Phi
21Phi Phi Phi Phi



[2022-03-24 20:12:58] - TRADE : From New Jersey Devils to Philadelphia Flyers : Matt Tomkins (69), Y:19-RND:5-New.
[2022-03-24 20:12:58] - TRADE : From Philadelphia Flyers to New Jersey Devils : Corey Crawford (83).
[2022-03-23 10:55:11] - TRADE : From Washington Capitals to Philadelphia Flyers : Jonathan Huberdeau (75), Y:17-RND:3-Was, Y:18-RND:3-Was.
[2022-03-23 10:55:11] - TRADE : From Philadelphia Flyers to Washington Capitals : Sam Reinhart (72), Alex Killorn (72), Y:21-RND:1-Phi.
[2022-01-14 09:53:51] - TRADE : From Philadelphia Flyers to Buffalo Sabres : Phil Kessel (72).
[2022-01-14 09:53:51] - TRADE : From Buffalo Sabres to Philadelphia Flyers : T.J. Oshie (74).
[2021-12-11 12:38:04] - TRADE : From Philadelphia Flyers to Boston Bruins : Mason Marchment (65), Y:18-RND:4-Buf, Y:20-RND:4-Phi.
[2021-12-11 12:38:04] - TRADE : From Boston Bruins to Philadelphia Flyers : Alexander Edler (75).
[2021-11-22 13:58:00] - TRADE : From Philadelphia Flyers to New York Rangers : Jaden Schwartz (71), Y:20-RND:2-Phi.
[2021-11-22 13:58:00] - TRADE : From New York Rangers to Philadelphia Flyers : David Perron (72).
[2021-11-16 07:55:26] - TRADE : From Philadelphia Flyers to Anaheim Ducks : Marcus Johansson (70), Ian Cole (72), Arsen Khisamutdinov (57), Y:20-RND:3-Phi.
[2021-11-16 07:55:26] - TRADE : From Anaheim Ducks to Philadelphia Flyers : Joel Armia (71), Travis Hamonic (72).
[2021-11-02 11:51:36] - TRADE : From Philadelphia Flyers to New York Rangers : Y:21-RND:5-Phi.
[2021-11-02 11:51:36] - TRADE : From New York Rangers to Philadelphia Flyers : Colton Sceviour (69).
[2021-09-10 11:21:38] - Jake Slaker was added to Philadelphia Flyers.
[2021-09-02 18:41:00] - Steven Kampfer was added to Philadelphia Flyers.
[2021-08-25 23:19:26] - Cameron Hillis was added to Philadelphia Flyers.



OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Regular Season
639201201411124104202010501211675314191070020057516461242033270103240501301042244243312434365498011111715.32%1091288.99%344290748.73%46691950.71%31763450.00%82447130641316698347
682412202755265223424121100233213810632412012004231271171093265429694020659310027550846969916263589693916902494919.68%2162687.96%4967193849.90%1010195951.56%686137749.82%1740995399717121484738
8822830013137217224-741131201276102103-141151800161115121-69421736658334062776421660663733720244076071618032934615.70%3086479.22%21240265646.69%1371290847.15%575124646.15%1873126821046301056515
982293700376213223-1041141600155122112104115210022191111-208121338059314075666520980688676714214660269017252945920.07%2504781.20%11237261447.32%1237262347.16%561125544.70%2011140219206021058532
1082254403055183238-55411518010259394-14110260203090144-547118332550834068535421910745694728222063352915572853913.68%2144977.10%11383271550.94%1334264450.45%611120650.66%1943134519746071055524
1282313603633231255-2441191801201116124-841121802432115131-168323141364411085756525630842888810244469067516343166119.30%2485378.63%31593296953.65%1526284853.58%719131854.55%2023141819065941034518
1382303702337249258-941181900121134125941121802216115133-188024943968844081798424520765841820249574591116543355315.82%3376381.31%31464295049.63%1396286448.74%660129750.89%1985137319646041034517
1482314101324191217-2641171701213102111-94114240011189106-177519134353425062656120870686665716244875072717733144414.01%3124784.94%01291259749.71%1324294245.00%586119449.08%1875128120476141033507
15823328055472382317411612043241201071341171601223118124-69623842966705072787923490719770829231065876918213776818.04%2935979.86%41464287850.87%1353277048.84%636122152.09%1997138419506101041523
1682323304346242246-441151503323120117341171801023122129-7892424316733381747915241676679781574232366377818223255918.15%3146678.98%31411287449.10%1391283349.10%619128448.21%1955134519925981035516
Total Regular Season77730032002237475121532219-6638915814201419253111141052623881421780818222010391167-12880821533758591117338167670563722378766717374936760227046833728316280289949517.07%260148681.31%24124922509849.77%124082531049.02%59701203249.62%1823012286229217891105325242
Playoff
61911800000735914106400000392910954000003430422731231960101727296220192219210655231239398561526.79%581475.86%224445253.98%24850349.30%17834052.35%39122644091883337166
15171160000046379770000002613131046000002024-42246841300001316144700134159134524179210415731317.81%93792.47%130264846.60%32165249.23%12524950.20%428288468140226113
Total Playoff3622140000011996231713400000654223199100000054540441192073260103043431092032637834411794104498131292821.71%1512186.09%3546110049.64%569115549.26%30358951.44%81951448782023563280