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Philadelphia Flyers
GP: 5 | W: 3 | L: 2 | OTL: 0 | P: 7
GF: 14 | GA: 11 | PP%: 15.63% | PK%: 80.95%
GM : Brad | Morale : 40 | Team Overall : 75
Next Games #82 vs New York Rangers

Game Center
Chicago Blackhawks
1-2-2, 5pts
2
FINAL
3 Philadelphia Flyers
3-2-0, 7pts
Team Stats
W1StreakL1
1-0-1Home Record2-1-0
0-2-1Away Record1-1-0
1-2-2Last 10 Games3-2-0
2.20Goals Per Game2.80
2.60Goals Against Per Game2.20
14.29%Power Play Percentage15.63%
86.96%Penalty Kill Percentage80.95%
Philadelphia Flyers
3-2-0, 7pts
2
FINAL
4 New York Islanders
3-2-0, 9pts
Team Stats
L1StreakW1
2-1-0Home Record2-1-0
1-1-0Away Record1-1-0
3-2-0Last 10 Games3-2-0
2.80Goals Per Game2.20
2.20Goals Against Per Game2.20
15.63%Power Play Percentage28.57%
80.95%Penalty Kill Percentage82.61%
Philadelphia Flyers
3-2-0, 7pts
Day 12
New York Rangers
3-2-0, 9pts
Team Stats
L1StreakL1
2-1-0Home Record1-1-0
1-1-0Away Record2-1-0
3-2-0Last 10 Games3-2-0
2.80Goals Per Game2.40
2.20Goals Against Per Game2.40
15.63%Power Play Percentage17.39%
80.95%Penalty Kill Percentage78.26%
Team Leaders
Elias PetterssonGoals
Elias Pettersson
4
Assists
Connor McDavid
3
Elias PetterssonPoints
Elias Pettersson
6
Plus/Minus
Jeff Skinner
4
Wins
Ville Husso
2
Save Percentage
Ville Husso
0.938

Team Stats
Goals For
14
2.80 GFG
Shots For
145
29.00 Avg
Power Play Percentage
15.6%
5 GF
Offensive Zone Start
40.2%
Goals Against
11
2.20 GAA
Shots Against
156
31.20 Avg
Penalty Kill Percentage
81.0%%
4 GA
Defensive Zone Start
36.6%
Team Info

General ManagerBrad
DivisionNortheast Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

NameWells Fargo Center
Capacity18,000
Attendance0
Season Tickets7,200


Roster Info

Pro Team21
Farm Team24
Contract Limit45 / 250
Prospects57


Finance

Year to Date Revenue0$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account146,911,288$
Projected Bank Account146,911,288$


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
1Connor McDavid0X96.0080498792769799939995907988778255408402815,333,333$
2Elias Pettersson0X98.00644292997294979092909074867377404082N02636,650,000$
3Brock Boeser0X100.0074498493729191856790907086778055408002818,280,333$
4Brendan Gallagher0X100.0085448290509294816779917180816655407703312,950,000$
5Jeff Skinner0X99.0081468387649088827281867176816755407703324,100,000$
6Michael Rasmussen0X100.0093537977998786748278757272737455407502631,850,000$
7Vinnie Hinostroza0X100.0074358387538484737077706974806455407203112,900,000$
8Andrei Loktionov0X100.0057438683558284747875736171847655407103521,800,000$
9Evgenii Dadonov0X100.0085407779568383696076776472847755407103613,650,500$
10Brett Connolly0X100.0089507574738577706370707072816455407003311,100,000$
11Jake Leschyshyn0X100.007848807570798766786867746877775540700264800,000$
12Nicklas Backstrom0X100.006446726671828174667270616986805540690371875,000$
13Nikita Zaitsev0X99.0090467979848989745076637963818255407703321,750,000$
14Jakub Zboril0X100.0082468482808282775278667766778255407602821,935,000$
15Dmitry Kulikov0X100.0079488479829091715075627769817455407503413,005,000$
16Jake Bean0X100.0060388591787979815080677971727655407502732,000,000$
17Colin Miller0X100.0076497676828288745077667365807355407303212,500,000$
18Nick Leddy0X100.0053469083818689675071647567828155407303421,850,000$
Scratches
1Haydn Fleury0X98.0075528884858383835089708170778355407802821,950,000$
Farm Team
1Gaetan Haas0X98.007544688265777668737171667381695540690332850,000$
2Stephane Da Costa0X100.006537798056777768757369637384765540690351955,000$
3JAAKKO RISSANEN0X100.005138697371606074707566697084935240680351500,500$
4JONATHAN ANG0XX100.005329608760606071707472647572725240680271300,000$
5LUKAS ELVENES0XX99.005333588667606072697962607169695240670251350,000$
6VILJAMI MARJALA0XX99.005433738767606073647863637262625240670221275,000$
7Yanni Gourde0X100.006039738546807765706769657281655540670331900,000$
8Derek Ryan0X100.005740727456767964787065596888755540660381875,000$
9Ryan Winterton (R)0X100.006046807883707860546062736563685540660212800,000$
10Michael Pezzetta0X100.009768556379727760676362666176725540650272950,000$
11Riley Tufte0X100.005657706297697460706263736274715540650273500,000$
12Tim Gettinger0X100.007354776290687360686063726174725540650272600,000$
13Isaak Phillips (R)0X98.007858837789778569507264716468815540720231500,000$
14Justin Holl0X100.005546837986788371507067756581805540720331950,000$
15Cale Fleury0X100.007552837288748067526462726073835540710264624,000$
16ATRO LEPPANEN0X100.005543788974606072487971687171815240700261510,000$
17Mark Giordano0X100.007150636577758066506961735999825540700411500,100$
18Lance Bouma0X99.0081487666788182677171696369847555406903511,150,000$
19Nathan Bastian0X100.009256657592747262746466716874745540690271600,000$
20Samuel Bolduc (R)0X100.007156827096758067506665716170815540710241600,000$
21Connor Mackey0X100.0065504079786969675069636562756655406702811,667,000$
22Guillaume Brisebois0X38.045539858752696863506361676374655540660273500,000$
TEAM AVERAGE98.07714677797478807164746970707875544071
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
1Vitek Vanecek0100.008880838283828383838282786455407902912,250,000$
2Ville Husso098.007775788481818282828180796355407703034,000,000$
Scratches
Farm Team
1Keith Kinkaid0100.007971718277787977777878856755407503521,250,000$
2Erik Kallgren098.00817273827675767777757677635540740282550,000$
TEAM AVERAGE99.0081757683797980808079798064554076
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
1Elias PetterssonPhiladelphia FlyersLW5426000482291418.18%311122.31314325000150044.44%991001.0811000101
2Connor McDavidPhiladelphia FlyersC5235095121622559.09%112224.571238260001170050.27%18762000.8101010001
3Brendan GallagherPhiladelphia FlyersLW53142201071641218.75%38416.941013220000200100.00%131000.9411000110
4Haydn FleuryPhiladelphia FlyersD41342005374014.29%911428.65011024000014100%033000.7011000000
5Brock BoeserPhiladelphia FlyersRW51231606813587.69%19819.65022025000021062.50%832000.6111000001
6Jeff SkinnerPhiladelphia FlyersRW51234208612598.33%19919.96000022000070066.67%312000.6001000010
7Jake BeanPhiladelphia FlyersD5022-220578420%310320.7701112500008000%013000.3911000000
8Michael RasmussenPhiladelphia FlyersC50221235841140%18316.76011122000040037.78%4523000.4801001000
9Andrei LoktionovPhiladelphia FlyersC5011100284160%05811.6300000000160051.28%3911000.3401000000
10Evgenii DadonovPhiladelphia FlyersRW510109510060516.67%05110.230000300000000%220000.3901001100
11Nick LeddyPhiladelphia FlyersD4011-100146010%05714.320000100004000%000000.3500000000
12Vinnie HinostrozaPhiladelphia FlyersLW5011000782060%05511.1900002000000066.67%621000.3601000000
13Brett ConnollyPhiladelphia FlyersLW5000-200637020%1469.2200000000012000%01400001000000
14Colin MillerPhiladelphia FlyersD2000-120220100%03115.650000300006000%02000000000000
15Dmitry KulikovPhiladelphia FlyersD5000-220592220%98116.350000100007000%00700001000000
16Jake LeschyshynPhiladelphia FlyersC5000-220232110%0326.4700000000000066.67%90100000000000
17Jakub ZborilPhiladelphia FlyersD5000120662230%18617.2900012300002000%00300000000000
18Nicklas BackstromPhiladelphia FlyersRW5000-200437360%1336.690000200000000%10000000000000
19Nikita ZaitsevPhiladelphia FlyersD5000460776110%513026.08000124000115000%02400000000000
Team Total or Average901320334671511011214548878.97%39148316.4958131826000041212049.35%3103838000.44513012323
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
1Ville HussoPhiladelphia Flyers32100.9381.991810069650000032100
2Vitek VanecekPhiladelphia Flyers21100.9172.401250056032000.6921323000
Team Total or Average53200.9292.16306001115682001355100


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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap 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
Andrei Loktionov (1 Way Contract)Philadelphia FlyersC351990-05-30RUSNo180 Lbs5 ft10NoNoFree AgentNoNo22025-10-19FalseFalsePro & Farm1,800,000$1,800,000$0$0$No1,800,000$--------1,800,000$--------No--------
Brendan Gallagher (1 Way Contract)Philadelphia FlyersLW331992-05-06CANNo183 Lbs5 ft9NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,950,000$2,950,000$0$0$No---------------------------Link
Brett ConnollyPhiladelphia FlyersLW331992-05-02CANNo198 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,100,000$1,100,000$0$0$No---------------------------
Brock Boeser (1 Way Contract)Philadelphia FlyersRW281997-02-25USANo207 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm8,280,333$8,280,333$0$0$No---------------------------Link
Colin Miller (1 Way Contract)Philadelphia FlyersD321992-10-29CANNo201 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,500,000$2,500,000$0$0$No---------------------------Link
Connor McDavid (1 Way Contract)Philadelphia FlyersC281997-01-13CANNo194 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm5,333,333$5,333,333$0$0$No---------------------------Link
Dmitry Kulikov (1 Way Contract)Philadelphia FlyersD341990-10-29RUSNo198 Lbs6 ft1NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm3,005,000$3,005,000$0$0$No---------------------------Link
Elias Pettersson (1 Way Contract)Philadelphia FlyersLW261998-11-12SWENo185 Lbs6 ft2YesNoAssign ManuallyNoNo32025-09-30FalseFalsePro Only6,650,000$6,650,000$0$0$No6,650,000$6,650,000$-------6,650,000$6,650,000$-------YesYes-------Link / NHL Link
Evgenii Dadonov (1 Way Contract)Philadelphia FlyersRW361989-03-12RUSNo185 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,650,500$3,650,500$0$0$No---------------------------Link
Haydn FleuryPhiladelphia FlyersD281996-07-08CANNo207 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,950,000$1,950,000$0$0$No1,950,000$--------1,950,000$--------No--------Link
Jake BeanPhiladelphia FlyersD271998-06-09CANNo176 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm2,000,000$2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Link
Jake LeschyshynPhiladelphia FlyersC261999-03-10USANo195 Lbs5 ft11NoNoFree AgentNoNo42025-11-01FalseFalsePro & Farm800,000$800,000$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------Link
Jakub ZborilPhiladelphia FlyersD281997-02-21CZENo201 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,935,000$1,935,000$0$0$No1,935,000$--------1,935,000$--------No--------Link
Jeff Skinner (1 Way Contract)Philadelphia FlyersRW331992-05-16CANNo196 Lbs5 ft11NoNoFree AgentNoNo22025-10-03FalseFalsePro & Farm4,100,000$4,100,000$0$0$No4,100,000$--------4,100,000$--------No--------Link
Michael RasmussenPhiladelphia FlyersC261999-04-17CANNo212 Lbs6 ft6NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,850,000$1,850,000$0$0$No1,850,000$1,850,000$-------1,850,000$1,850,000$-------NoNo-------Link
Nick Leddy (1 Way Contract)Philadelphia FlyersD341991-03-20USANo205 Lbs6 ft0NoNoFree AgentNoNo22025-10-21FalseFalsePro & Farm1,850,000$1,850,000$0$0$No1,850,000$--------1,850,000$--------No--------Link
Nicklas Backstrom (1 Way Contract)Philadelphia FlyersRW371987-11-23SWENo203 Lbs6 ft0NoNoFree AgentNoNo12025-10-24FalseFalsePro & Farm875,000$875,000$0$0$No---------------------------Link
Nikita Zaitsev (1 Way Contract)Philadelphia FlyersD331991-10-29RUSNo192 Lbs6 ft2NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm1,750,000$1,750,000$0$0$No1,750,000$--------1,750,000$--------No--------Link
Ville Husso (1 Way Contract)Philadelphia FlyersG301995-02-06FINNo209 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm4,000,000$4,000,000$0$0$No4,000,000$4,000,000$-------4,000,000$4,000,000$-------NoNo-------Link
Vinnie Hinostroza (1 Way Contract)Philadelphia FlyersLW311994-04-03USANo176 Lbs5 ft10NoNoFree AgentNoNo12025-10-14FalseFalsePro & Farm2,900,000$2,900,000$0$0$No---------------------------Link
Vitek VanecekPhiladelphia FlyersG291996-01-09CZENo183 Lbs6 ft2NoNoFree AgentNoNo12025-10-17FalseFalsePro & Farm2,250,000$2,250,000$0$0$No---------------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2130.81195 Lbs6 ft11.812,929,960$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
61,529,166$28,685,000$15,300,000$800,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Elias PetterssonConnor McDavidJeff Skinner40023
2Brendan GallagherAndrei LoktionovBrock Boeser30023
3Vinnie HinostrozaMichael RasmussenEvgenii Dadonov20014
4Brett ConnollyJake LeschyshynNicklas Backstrom10041
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikita ZaitsevDmitry Kulikov40041
2Jakub ZborilJake Bean30023
3Nick LeddyColin Miller20032
4Nick LeddyNikita Zaitsev10014
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Elias PetterssonConnor McDavidBrock Boeser60014
2Brendan GallagherMichael RasmussenJeff Skinner40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakub ZborilJake Bean60014
2Colin MillerNikita Zaitsev40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Connor McDavidBrett Connolly60041
2Michael RasmussenJeff Skinner40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Colin MillerNikita Zaitsev60041
2Dmitry KulikovJake Bean40041
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Connor McDavid60041Dmitry KulikovNikita Zaitsev60140
2Elias Pettersson40041Jakub ZborilJake Bean40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Connor McDavidElias Pettersson60014
2Michael RasmussenBrock Boeser40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dmitry KulikovNikita Zaitsev60023
2Jakub ZborilJake Bean40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Elias PetterssonConnor McDavidBrock BoeserJakub ZborilJake Bean
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brett ConnollyAndrei LoktionovJeff SkinnerDmitry KulikovNikita Zaitsev
Extra Forwards
Normal PowerPlayPenalty Kill
Vinnie Hinostroza, Evgenii Dadonov, Andrei LoktionovVinnie Hinostroza, Evgenii DadonovAndrei Loktionov
Extra Defensemen
Normal PowerPlayPenalty Kill
Dmitry Kulikov, Nick Leddy, Jakub ZborilDmitry KulikovNick Leddy, Jakub Zboril
Penalty Shots
Connor McDavid, Elias Pettersson, Brock Boeser, Jeff Skinner, Brendan Gallagher
Goalie
#1 : Ville Husso, #2 : Vitek Vanecek
Custom OT Lines Forwards
Connor McDavid, Elias Pettersson, Brock Boeser, Jeff Skinner, Brendan Gallagher, Michael Rasmussen, Vinnie Hinostroza, Evgenii Dadonov, Andrei Loktionov, Jake Leschyshyn
Custom OT Lines Defensemen
Colin Miller, Nikita Zaitsev, Jakub Zboril, Jake Bean, Dmitry Kulikov


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
1Chicago Blackhawks20001010532100000103211000100021140.66756110021065817221814671724391317.69%70100.00%06512352.85%5011244.64%387153.52%442346183518
2New York Islanders21100000752110000005141010000024-230.500711180042105820152305911294910330.00%7271.43%06512352.85%5011244.64%387153.52%412440183719
3New York Rangers1010000023-11010000023-10000000000000.00023500200029104150301114229111.11%7271.43%06512352.85%5011244.64%387153.52%2313218158
Total51201010141133110001010642010100045-170.46714203400831614547415614156396711032515.63%21480.95%06512352.85%5011244.64%387153.52%10961109458746
_Since Last GM Reset51201010141133110001010642010100045-170.46714203400831614547415614156396711032515.63%21480.95%06512352.85%5011244.64%387153.52%10961109458746
_Vs Conference31200000981211000007431010000024-230.333914230062108730193808922437119421.05%14471.43%06512352.85%5011244.64%387153.52%643762275227

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
57L1142034145156396711000
All Games
GPWLOTWOTL SOWSOLGFGA
51210101411
Home Games
GPWLOTWOTL SOWSOLGFGA
3110010106
Visitor Games
GPWLOTWOTL SOWSOLGFGA
201100045
Last 10 Games
WLOTWOTL SOWSOL
320000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
32515.63%21480.95%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
474156148316
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
6512352.85%5011244.64%387153.52%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
10961109458746


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
212New York Rangers3Philadelphia Flyers2LBoxScore
426New York Islanders1Philadelphia Flyers5WBoxScore
640Philadelphia Flyers2Chicago Blackhawks1WXBoxScore
853Chicago Blackhawks2Philadelphia Flyers3WXXBoxScore
1068Philadelphia Flyers2New York Islanders4LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
1282Philadelphia Flyers-New York Rangers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity59404860198039601260
Ticket Price100603525200
Attendance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 0 - 0.00% 0$0$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
0$ 68,194,766$ 0$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 3 0$ 0$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
0$ 146,911,288$ 146,911,288$



Depth Chart

Left WingCenterRight Wing
Elias PetterssonAGE:26PO:40OV:82
Brendan GallagherAGE:33PO:55OV:77
Vinnie HinostrozaAGE:31PO:55OV:72
Brett ConnollyAGE:33PO:55OV:70
Gaetan HaasAGE:33PO:55OV:69
LUKAS ELVENESAGE:25PO:52OV:67
VILJAMI MARJALAAGE:22PO:52OV:67
Derek RyanAGE:38PO:55OV:66
Michael PezzettaAGE:27PO:55OV:65
Riley TufteAGE:27PO:55OV:65
Connor McDavidAGE:28PO:55OV:84
Michael RasmussenAGE:26PO:55OV:75
Andrei LoktionovAGE:35PO:55OV:71
Jake LeschyshynAGE:26PO:55OV:70
Stephane Da CostaAGE:35PO:55OV:69
JAAKKO RISSANENAGE:35PO:52OV:68
JONATHAN ANGAGE:27PO:52OV:68
VILJAMI MARJALAAGE:22PO:52OV:67
Ryan Winterton (R)AGE:21PO:55OV:66
Brock BoeserAGE:28PO:55OV:80
Jeff SkinnerAGE:33PO:55OV:77
Evgenii DadonovAGE:36PO:55OV:71
Lance BoumaAGE:35PO:55OV:69
Nathan BastianAGE:27PO:55OV:69
Nicklas BackstromAGE:37PO:55OV:69
JONATHAN ANGAGE:27PO:52OV:68
Yanni GourdeAGE:33PO:55OV:67
LUKAS ELVENESAGE:25PO:52OV:67
Tim GettingerAGE:27PO:55OV:65

Defense #1Defense #2Goalie
Haydn FleuryAGE:28PO:55OV:78
Nikita ZaitsevAGE:33PO:55OV:77
Jakub ZborilAGE:28PO:55OV:76
Dmitry KulikovAGE:34PO:55OV:75
Jake BeanAGE:27PO:55OV:75
Colin MillerAGE:32PO:55OV:73
Nick LeddyAGE:34PO:55OV:73
Isaak Phillips (R)AGE:23PO:55OV:72
Justin HollAGE:33PO:55OV:72
Cale FleuryAGE:26PO:55OV:71
Samuel Bolduc (R)AGE:24PO:55OV:71
Mark GiordanoAGE:41PO:55OV:70
ATRO LEPPANENAGE:26PO:52OV:70
Connor MackeyAGE:28PO:55OV:67
Guillaume BriseboisAGE:27PO:55OV:66
Vitek VanecekAGE:29PO:55OV:79
Ville HussoAGE:30PO:55OV:77
Keith KinkaidAGE:35PO:55OV:75
Erik KallgrenAGE:28PO:55OV:74

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
ProspectTeam NameDraft YearOverall PickInformationLast Trade DateLink
0x LTCsPhiladelphia Flyers00
0x RFA Tag (Connor McDavid Y26)Philadelphia Flyers00
0x TC PTSPhiladelphia Flyers00
Aleksei KolosovPhiladelphia Flyers21490Link
Alexis BernierPhiladelphia Flyers241150Link
Andrew GibsonPhiladelphia Flyers23650Link
Arseny RadkovPhiladelphia Flyers25770Link
Artyom GoncharPhiladelphia Flyers251180Link
Brandon CoePhiladelphia Flyers20950Link
Burke HoodPhiladelphia Flyers251610Link
Calle OdeliusPhiladelphia Flyers22820Link
Carter AmicoPhiladelphia Flyers25480Link
Christian KyrouPhiladelphia Flyers22660Link
Cole HutsonPhiladelphia Flyers24410Link
Cole O'HaraPhiladelphia Flyers221490Link
Cole SpicerPhiladelphia Flyers221280Link
Conner RoulettePhiladelphia Flyers211370Link
Conrad FondrkPhiladelphia Flyers25580Link
Elias Pettersson (D)Philadelphia Flyers221130Link
Erik PortilloPhiladelphia Flyers19610Link
Gabriel D'AiglePhiladelphia Flyers251030Link
Graeme ClarkPhiladelphia Flyers19620Link
Henry BrzustewiczPhiladelphia Flyers25460Link
Hunter JonesPhiladelphia Flyers19960Link
Ivan ZhigalovPhiladelphia Flyers22870Link
Jesse KiiskinenPhiladelphia Flyers23700Link
John FarinacciPhiladelphia Flyers19580Link
Kim SaarinenPhiladelphia Flyers241390Link
Kirill ZarubinPhiladelphia Flyers241280Link
Liam PetterssonPhiladelphia Flyers25750Link
Love HarenstamPhiladelphia Flyers251740Link
Lucas PetterssonPhiladelphia Flyers24370Link
Mans GoosPhiladelphia Flyers251430Link
Maxim BarbashevPhiladelphia Flyers221530Link
Michal PradelPhiladelphia Flyers25600Link
Nathaniel DayPhiladelphia Flyers231530Link
Noah ReadPhiladelphia Flyers25850Link
Oliver KapanenPhiladelphia Flyers211220Link
Patrick MoynihanPhiladelphia Flyers19840Link
Quentin MillerPhiladelphia Flyers231380Link
Redmond SavagePhiladelphia Flyers211400Link
Rieger LorenzPhiladelphia Flyers22550Link
Ruslan KhazheyevPhiladelphia Flyers231430Link
Ryan WintertonPhiladelphia Flyers21920Link
Ryder DonovanPhiladelphia Flyers191100Link
Samuel HeleniusPhiladelphia Flyers21480Link
Samuel HonzekPhiladelphia Flyers23240Link
Samuel SavoiePhiladelphia Flyers221070Link
Sean FarrellPhiladelphia Flyers201190Link
Terik ParascakPhiladelphia Flyers24220Link
Tomas LavoiePhiladelphia Flyers241490Link
Ty SmilanicPhiladelphia Flyers20740Link
Tyler BrennanPhiladelphia Flyers22790Link
Vladislav FirstovPhiladelphia Flyers19440Link
William StromgrenPhiladelphia Flyers21430Link
Wilson BjorckPhiladelphia Flyers251890Link
Zack OstapchukPhiladelphia Flyers21680Link

Draft Picks

Year R1R2R3R4R5R6R7
26
27
28
29
30
Conditional Draft Picks




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Philadelphia Flyers Trade History




Guillaume Brisebois is out for 2 months because of a Back Spasms Injury.



Philadelphia 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

Philadelphia Flyers Goalies Stat Leaders (Regular Season)

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

Philadelphia 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

Philadelphia 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

Philadelphia Flyers Goalies Stat Leaders (Play-Off)

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