Your STHS is out of Date! Please update your STHS version!
Login

Flyers
GP: 22 | W: 16 | L: 6
GF: 78 | GA: 59 | PP%: 23.29% | PK%: 80.33%
GM : Libre | Morale : 99 | Team Overall : 66
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Flyers
16-6-0, 32pts
3
FINAL
4 Kings
14-7-0, 28pts
Team Stats
W1StreakL1
8-2-0Home Record7-4-0
8-4-0Home Record7-3-0
8-2-0Last 10 Games4-6-0
3.55Goals Per Game3.29
2.68Goals Against Per Game2.81
23.29%Power Play Percentage14.06%
80.33%Penalty Kill Percentage81.36%
Kings
14-7-0, 28pts
4
FINAL
6 Flyers
16-6-0, 32pts
Team Stats
L1StreakW1
7-4-0Home Record8-2-0
7-3-0Home Record8-4-0
4-6-0Last 10 Games8-2-0
3.29Goals Per Game3.55
2.81Goals Against Per Game2.68
14.06%Power Play Percentage23.29%
81.36%Penalty Kill Percentage80.33%
Team Leaders
Goals
Seth Jarvis
24
Assists
Brett Howden
18
Points
Seth Jarvis
34
Plus/Minus
Seth Jarvis
14
Wins
Jonas Johansson
16
Save Percentage
Jonas Johansson
0.922

Team Stats
Goals For
78
3.55 GFG
Shots For
747
33.95 Avg
Power Play Percentage
23.3%
17 GF
Offensive Zone Start
39.5%
Goals Against
59
2.68 GAA
Shots Against
715
32.50 Avg
Penalty Kill Percentage
80.3%%
12 GA
Defensive Zone Start
38.0%
Team Info

General ManagerLibre
CoachDave Hakstol
DivisionMétropolitaine
ConferenceEst
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,854
Season Tickets2,400


Roster Info

Pro Team39
Farm Team19
Contract Limit58 / 60
Prospects23


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 SPAgeContractSalary
1Brett Howden (R)X100.0079566275848480738793847925727158827502623,000,000$
2Seth Jarvis (R)X100.007445929076867886507975722585594890740222894,167$
3Adam Gaudette (R)X100.0071379477765785848084786372797742927202721,250,000$
4Sam Steel (R)X100.006945858076848378737670712578715891710262800,000$
5Patrick Brown (R)X100.008460687381828771796764732572847190690322750,000$
6Nathan Walker (R)X100.007765787573808469816762702571776392670301800,000$
7Alexander Volkov (R)X100.005419996875717973476971727276726180670263800,000$
8Mikey Eyssimont (R)X100.007866617575837375507065692573594983672273750,000$
9Mikhail Vorobyev (R)X100.003722996974657775687269696275735356660272700,000$
10Tom Kuhnhackl (R)X100.006438886874837262536158775887774484650322700,000$
11Darren Archibald (R)X100.005977636478475672466865735166652485630343575,000$
12Dalton Smith (R)X100.005745856475707564516259675984775749630313575,000$
13Mikey Anderson (R)X100.0076507389818883794077689125796653897802533,000,000$
14Jordan Harris (R)X100.006850778480867676407266772576594965722233842,500$
15Jyrki Jokipakka (R)X100.004413996875627193257472816377763280690321800,000$
16Jacob Larsson (R)X100.007243906675708168257670742570695485680273800,000$
17Nicolas Beaudin (R)X100.006635997575596878257875662570737579680243800,000$
18Aaron Ness (R)X100.004418996970737759306053765490794747650343600,000$
Scratches
1Jayson Megna (R)X100.007540927377808868796561702569867469670341575,000$
2Gerald Mayhew (R)X100.008568647377636561506964626588835946650313575,000$
3Mikhail Maltsev (R)X96.657840986979826764597370672553526274650261809,167$
4Tanner Laczynski (R)X100.006940827479797068586262652568605324632273762,500$
5Andy Andreoff (R)X100.005346626673707166636368622568665724620331600,000$
6Ben Street (R)X100.004124996873687657665755686197902925620371575,000$
7Jonas Rondbjerg (R)X100.006240736665636363426056602562525025580252766,667$
8Samuel Fagemo (R)X100.005440746863636364435462502565515024570242795,000$
9Max Willman (R)X100.005645706661676762425954582561585125570292750,000$
10Jackson Cates (R)X100.006040736863646562565756602562535025571263775,000$
11Jacob Peterson (R)X100.005840706863626263586157542563515024572243842,500$
12Pavel Dorofeyev (R)X100.005740676959595860555454542561505025550232925,000$
13Pierre-Olivier Joseph (R)X95.437750727879848078407368732576615174710241863,333$
14John Gilmour (R)X100.005336946873807762306057645584784525640313575,000$
15Louie Belpedio (R)X100.007428996573777553305249664974735724630281575,000$
16Seth Helgeson (R)X100.005035816281566671254743785581744925630331575,000$
17Mark Alt (R)X100.004827816876757648304946624886814825610322575,000$
18Jakub Jerabek (R)X100.004727986374607465306561635177642725610331575,000$
TEAM AVERAGE99.75634182717472746950666368397469515665
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 SPAgeContractSalary
1Jonas Johansson (R)99.008088818682919794808175808455928402821,500,000$
2Alex Lyon (R)100.008477768279858585868075828750938103131,000,000$
Scratches
1Samuel Ersson (R)100.00827069777583838584753075535034762243859,167$
TEAM AVERAGE99.6782787582798688888379607975527380
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dave Hakstol8585928781761CAN5425,000,000$


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
1Seth JarvisFlyers (PHI)RW2224103414203241103355523.30%1547721.69931219670000565248.15%54346141.4300000530
2Brett HowdenFlyers (PHI)C186182411235475647123112.77%736820.451786510000351055.22%46968001.3000010260
3Adam GaudetteFlyers (PHI)C2251419-50020609123395.49%1242519.3304414530112291057.58%4881510000.8900000010
4Sam SteelFlyers (PHI)C225121732023285214359.62%626512.08022090112292055.49%18294001.2800000201
5Mikey AndersonFlyers (PHI)D225121702715505746191410.87%2751923.63268669011149000%01717000.6500021103
6Nathan WalkerFlyers (PHI)LW226713-52410422759171910.17%1241418.830114500000131144.44%2774000.6300002004
7Jyrki JokipakkaFlyers (PHI)D220111111007464322180%1947821.76022645000238000%01310000.4600000001
8Mikey EyssimontFlyers (PHI)LW22461014412536173392012.12%740618.48123762000000339.29%2888000.4900212101
9Alexander VolkovFlyers (PHI)RW2236940011384611256.52%928012.7500017000001045.71%3552000.6400000002
10Jacob LarssonFlyers (PHI)D22167495223115566.67%2034715.7900003000015000%0314000.4000010110
11Mikhail VorobyevFlyers (PHI)C224373203274063810.00%623010.4700003000042050.00%13276000.6100000020
12Patrick BrownFlyers (PHI)RW22437-9491555225312357.55%1339117.78202948000042045.16%3169000.3600012100
13Nicolas BeaudinFlyers (PHI)D22156420112614797.14%2436416.580000800009000%067000.3300000000
14Pierre-Olivier JosephFlyers (PHI)D192462451539352011810.00%2143522.90224666000043000%0813000.2800210000
15Jordan HarrisFlyers (PHI)D2005521003926291270%2742521.26011343000030000%096000.2400000000
16Darren ArchibaldFlyers (PHI)LW2231442016112071015.00%41687.6600000101110142.86%714000.4700000010
17Mikhail MaltsevFlyers (PHI)LW2031440030172231313.64%423811.93000000000131144.00%2515000.3400000100
18Tom KuhnhacklFlyers (PHI)RW22213220121394622.22%21647.4900001101120150.00%624000.3600000001
19Aaron NessFlyers (PHI)D5022500371200%68416.890000000005000%001000.4700000000
20Jayson MegnaFlyers (PHI)C4000100732040%1338.4500000000000061.54%131100000000000
21Dalton SmithFlyers (PHI)LW2000-100322200%0168.040000000000000%10000000000000
Team Total or Average39678127205682409050859074723339210.44%242653516.5017304781593235938416954.14%1498158139140.6300477141413
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
1Jonas JohanssonFlyers (PHI)2016400.9222.44120320496282690200202112
2Alex LyonFlyers (PHI)20110.9063.9312200885330000220000
Team Total or Average2216510.9202.58132520577133020202222112


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Aaron NessFlyers (PHI)D341990-05-18 17:11:13Yes183 Lbs5 ft10NoNoN/ANoNo3Pro & Farm600,000$0$0$No600,000$600,000$-------NoNo-------
Adam GaudetteFlyers (PHI)C271996-10-03 05:10:31Yes170 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,250,000$0$0$No1,250,000$--------No--------
Alex LyonFlyers (PHI)G311992-12-09 07:25:34Yes201 Lbs6 ft1NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------
Alexander VolkovFlyers (PHI)RW261997-08-02 10:19:34Yes192 Lbs6 ft1NoNoTrade2024-01-28NoNo3Pro & Farm800,000$0$0$No800,000$800,000$-------NoNo-------
Andy AndreoffFlyers (PHI)LW331991-05-17 23:11:13Yes201 Lbs6 ft2NoNoN/ANoNo1Pro & Farm600,000$0$0$No------------------
Ben StreetFlyers (PHI)C371987-02-13 23:11:13Yes190 Lbs6 ft0NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Brett HowdenFlyers (PHI)C261998-03-29 03:03:41Yes203 Lbs6 ft2NoNoN/ANoNo2Pro & Farm3,000,000$0$0$No3,000,000$--------No--------
Dalton SmithFlyers (PHI)LW311992-06-30 12:49:11Yes205 Lbs6 ft2NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Darren ArchibaldFlyers (PHI)LW341990-02-09 03:35:07Yes210 Lbs6 ft3NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Gerald MayhewFlyers (PHI)RW311992-12-31 11:44:27Yes170 Lbs5 ft10NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Jackson CatesFlyers (PHI)C261997-09-28 13:43:14Yes190 Lbs6 ft0NoNoN/ANoNo3Pro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------
Jacob LarssonFlyers (PHI)D271997-04-29 08:51:10Yes197 Lbs6 ft2NoNoN/ANoNo3Pro & Farm800,000$0$0$No800,000$800,000$-------NoNo-------
Jacob PetersonFlyers (PHI)LW241999-07-19 13:45:34Yes181 Lbs6 ft1NoNoN/ANoNo3Pro & Farm842,500$0$0$No842,500$842,500$-------NoNo-------
Jakub JerabekFlyers (PHI)D331991-05-12 06:19:24Yes200 Lbs5 ft11NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Jayson MegnaFlyers (PHI)C341990-02-01 17:11:13Yes195 Lbs6 ft1NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
John GilmourFlyers (PHI)D311993-05-17 05:58:32Yes190 Lbs6 ft0NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Jonas JohanssonFlyers (PHI)G281995-09-19 10:58:03Yes220 Lbs6 ft5NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------
Jonas RondbjergFlyers (PHI)LW251999-03-31 04:26:52Yes196 Lbs6 ft2NoNoN/ANoNo2Pro & Farm766,667$0$0$No766,667$--------No--------
Jordan HarrisFlyers (PHI)D232000-07-07 13:49:06Yes189 Lbs5 ft11NoNoN/ANoNo3Pro & Farm842,500$0$0$No842,500$842,500$-------NoNo-------
Jyrki JokipakkaFlyers (PHI)D321991-08-20 23:11:13Yes196 Lbs6 ft3NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------
Louie BelpedioFlyers (PHI)D281996-05-14 11:34:54Yes192 Lbs5 ft11NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Mark AltFlyers (PHI)D321991-10-18 23:11:13Yes201 Lbs6 ft4NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Max WillmanFlyers (PHI)C291995-02-13 10:34:30Yes183 Lbs6 ft0NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Mikey AndersonFlyers (PHI)D251999-05-25 12:51:39Yes195 Lbs6 ft0NoNoN/ANoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$-------NoNo-------
Mikey EyssimontFlyers (PHI)LW271996-09-09 12:07:55Yes180 Lbs6 ft0NoNoTrade2024-01-28NoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Mikhail MaltsevFlyers (PHI)LW261998-03-12 13:12:49Yes220 Lbs6 ft3NoNoTrade2024-01-28NoNo1Pro & Farm809,167$0$0$No------------------
Mikhail VorobyevFlyers (PHI)C271997-01-05 08:21:53Yes194 Lbs6 ft2NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------
Nathan WalkerFlyers (PHI)LW301994-02-07 04:43:18Yes187 Lbs5 ft9NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------
Nicolas BeaudinFlyers (PHI)D241999-10-07 03:17:55Yes168 Lbs5 ft11NoNoTrade2024-01-28NoNo3Pro & Farm800,000$0$0$No800,000$800,000$-------NoNo-------
Patrick BrownFlyers (PHI)RW321992-05-29 05:42:52Yes210 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Pavel DorofeyevFlyers (PHI)LW232000-10-26 04:32:28Yes168 Lbs6 ft1NoNoN/ANoNo2Pro & Farm925,000$0$0$No925,000$--------No--------
Pierre-Olivier JosephFlyers (PHI)D241999-07-01 13:28:21Yes185 Lbs6 ft2NoNoN/ANoNo1Pro & Farm863,333$0$0$No------------------
Sam SteelFlyers (PHI)C261998-02-03 03:05:49Yes184 Lbs5 ft11NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------
Samuel ErssonFlyers (PHI)G241999-10-20 03:10:24Yes176 Lbs6 ft2NoNoN/ANoNo3Pro & Farm859,167$0$0$No859,167$859,167$-------NoNo-------
Samuel FagemoFlyers (PHI)LW242000-03-14 04:34:53Yes190 Lbs5 ft11NoNoN/ANoNo2Pro & Farm795,000$0$0$No795,000$--------No--------
Seth HelgesonFlyers (PHI)D331990-10-08 17:11:13Yes223 Lbs6 ft5NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Seth JarvisFlyers (PHI)RW222002-02-01 04:37:00Yes175 Lbs5 ft10NoNoN/ANoNo2Pro & Farm894,167$0$0$No894,167$--------No--------
Tanner LaczynskiFlyers (PHI)C271997-06-01 12:02:26Yes190 Lbs6 ft1NoNoN/ANoNo3Pro & Farm762,500$0$0$No762,500$762,500$-------NoNo-------
Tom KuhnhacklFlyers (PHI)RW321992-01-21 17:39:57Yes196 Lbs6 ft2NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3928.41192 Lbs6 ft12.15879,103$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mikey EyssimontBrett HowdenSeth Jarvis35122
2Nathan WalkerAdam GaudettePatrick Brown35122
3Darren ArchibaldSam SteelAlexander Volkov25122
4Dalton SmithMikhail VorobyevTom Kuhnhackl5122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikey AndersonJordan Harris35122
2Jyrki JokipakkaNicolas Beaudin35122
3Jacob LarssonAaron Ness30122
4Mikey AndersonJordan Harris0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mikey EyssimontBrett HowdenSeth Jarvis60122
2Nathan WalkerAdam GaudettePatrick Brown40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikey AndersonJordan Harris60122
2Jyrki JokipakkaNicolas Beaudin40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Brett HowdenSeth Jarvis60122
2Adam GaudetteSam Steel40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikey AndersonJordan Harris60122
2Jyrki JokipakkaNicolas Beaudin40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Brett Howden60122Mikey AndersonJordan Harris60122
2Seth Jarvis40122Jyrki JokipakkaNicolas Beaudin40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Brett HowdenSeth Jarvis60122
2Adam GaudetteSam Steel40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikey AndersonJordan Harris60122
2Jyrki JokipakkaNicolas Beaudin40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Mikey EyssimontBrett HowdenSeth JarvisMikey AndersonJordan Harris
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mikey EyssimontBrett HowdenSeth JarvisMikey AndersonJordan Harris
Extra Forwards
Normal PowerPlayPenalty Kill
Alexander Volkov, Mikhail Vorobyev, Tom KuhnhacklAlexander Volkov, Mikhail VorobyevTom Kuhnhackl
Extra Defensemen
Normal PowerPlayPenalty Kill
Jacob Larsson, Aaron Ness, Jyrki JokipakkaJacob LarssonAaron Ness, Jyrki Jokipakka
Penalty Shots
Brett Howden, Seth Jarvis, Adam Gaudette, Sam Steel, Patrick Brown
Goalie
#1 : Jonas Johansson, #2 : Alex Lyon
Custom OT Lines Forwards
Brett Howden, Seth Jarvis, Adam Gaudette, Sam Steel, Patrick Brown, Mikey Eyssimont, Mikey Eyssimont, Nathan Walker, Alexander Volkov, Mikhail Vorobyev, Tom Kuhnhackl
Custom OT Lines Defensemen
Mikey Anderson, Jordan Harris, Jyrki Jokipakka, Nicolas Beaudin, Jacob Larsson


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
OverallHomeVisitor
# VS Team 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 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
1Bruins44000000196132200000010462200000092781.000192847002030271128220281238810849669011327.27%13284.62%132359254.56%31156954.66%17733752.52%474280482196369186
2Canadiens743000001820-232100000862422000001014-480.5711830481020302712242202812388241768516422731.82%20385.00%032359254.56%31156954.66%17733752.52%474280482196369186
3Capitals54100000171342200000075232100000108280.8001729461020302711832202812388158466913130516.67%17570.59%032359254.56%31156954.66%17733752.52%474280482196369186
4Kings6420000024204321000001411332100000109180.6672440640020302712122202812388208712212310220.00%11281.82%132359254.56%31156954.66%17733752.52%474280482196369186
Total221660000078591910820000039261312840000039336320.727781272052020302717472202812388715242242508731723.29%611280.33%232359254.56%31156954.66%17733752.52%474280482196369186
_Since Last GM Reset221660000078591910820000039261312840000039336320.727781272052020302717472202812388715242242508731723.29%611280.33%232359254.56%31156954.66%17733752.52%474280482196369186
_Vs Conference1612400000543915761000002515109630000029245240.75054871412020302715352202812388507171220385631523.81%501080.00%132359254.56%31156954.66%17733752.52%474280482196369186
_Vs Division54100000171342200000075232100000108280.8001729461020302711832202812388158466913130516.67%17570.59%032359254.56%31156954.66%17733752.52%474280482196369186

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2232W17812720574771524224250820
All Games
GPWLOTWOTL SOWSOLGFGA
2216600007859
Home Games
GPWLOTWOTL SOWSOLGFGA
108200003926
Visitor Games
GPWLOTWOTL SOWSOLGFGA
128400003933
Last 10 Games
WLOTWOTL SOWSOL
820000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
731723.29%611280.33%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
22028123882030271
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
32359254.56%31156954.66%17733752.52%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
474280482196369186


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
11Flyers1Canadiens3ALR2BoxScore
39Flyers1Canadiens5ALBoxScore
517Canadiens1Flyers3BWR2BoxScore
725Canadiens4Flyers3BLXBoxScore
933Flyers3Canadiens2AWR2BoxScore
1141Canadiens1Flyers2BWBoxScore
1349Flyers5Canadiens4AWR2BoxScore
1557Flyers5Bruins1AWBoxScore
1761Flyers4Bruins1AWR2BoxScore
1965Bruins1Flyers5BWBoxScore
2169Bruins3Flyers5BWR2BoxScore
2985Flyers1Capitals3ALR5BoxScore
3187Flyers5Capitals3AWBoxScore
3389Capitals3Flyers4BWXR5BoxScore
3591Capitals2Flyers3BWBoxScore
3793Flyers4Capitals2AWR5BoxScore
4399Flyers3Kings2AWBoxScore
44100Flyers4Kings3AWBoxScore
45101Kings2Flyers6BWBoxScore
46102Kings5Flyers2BLBoxScore
47103Flyers3Kings4ALBoxScore
48104Kings4Flyers6BWBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4525
Attendance18,53910,000
Attendance PCT92.70%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
31 2854 - 95.13% 146,374$1,463,744$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 3,428,501$ 1,692,584$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




Flyers Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Flyers Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Flyers Career Team Stats

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

Flyers Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Flyers Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA