Jets

GP: 14 | W: 5 | L: 9 | OTL: 0 | P: 10
GF: 41 | GA: 49 | PP%: 14.29% | PK%: 75.86%
GM : Sebastien Doyon | Morale : 44 | Team Overall : 67
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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
1Nathan MacKinnon (C)XX100.006943879774899597829593558468698750800
2Alex GalchenyukXXX100.00734386867572948464757753607173754571X0
3Colton SissonsXX100.008054907974739568896572872565677652700
4Jimmy VeseyX100.007554918078739772336772756362627452690
5Troy BrouwerX100.008969827381639361386170765779847247680
6Wayne Simmonds (A)XX100.008267667771709479326373606179827251680
7Zach Aston-ReeseXXX100.009778827774667360406671852547487449660
8Filip ChytilXXX100.006341968266668270456368602559596858640
9Troy Terry (R)XX100.005740977765677473317364566346466749630
10Victor Olofsson (R)XX100.007263936563757768506567646444446854620
11Matt Luff (R)X100.006562916472598460315975552547476754600
12Martin HanzalX100.009188997488474847593844764275775648580
13Josh MansonX100.009060768279859460255448932565666753740
14Josh MorrisseyX100.007343918671868772257150862560616947730
15Jonathan EricssonX100.008457817183728456254448872575796251700
16Mark PysykX100.008445888074759359255247822565656352700
17Nate ProsserX100.007644956976546760254047732566685848630
18Matt HunwickX100.006342907572695256255247692571725852620
Scratches
1Brett RitchieX100.008987707782557963315458692564656441620
2Anthony LouisXX100.006453886753828859745656615355556140590
TEAM AVERAGE100.00775787777470836642616271416364685067
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
1MacKenzie Blackwood100.00757066907871667684759546467458710
2Craig Anderson100.0067848373656947687167787577674167X2
Scratches
1Jonathan Bernier100.00646666676464556573656866676551640
TEAM AVERAGE100.0069737277696856707669806263695067
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Rob Brind'Amour90917790666480CAN4533,500,000$


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
1Nathan MacKinnonJetsC/RW14481207519274911418.16%528320.282138330000160050.12%417157000.8501001001
2Zach Aston-ReeseJetsC/LW/RW144711514020142171619.05%627119.370111191122360023.40%4744000.8100000111
3Jimmy VeseyJetsLW14561140015215724288.77%227319.531232280002290150.00%18128000.8000000100
4Alex GalchenyukJetsC/LW/RW14459-18012145211327.69%626218.741235330002281038.46%13155000.6911000000
5Colton SissonsJetsC/RW142682601733234158.70%627119.401124311122420056.13%21279000.5900000010
6Troy BrouwerJetsRW14268-18016102110119.52%219814.200111200000210045.45%1156000.8100000010
7Josh MansonJetsD14246-43552621231138.70%630922.07112431000130000.00%025000.3900001100
8Troy TerryJetsC/RW14415-400652671315.38%11279.1200000101131021.05%1930000.7811000002
9Wayne SimmondsJetsLW/RW14325-212024123423218.82%120114.38000219000011041.67%1252000.5000000010
10Jonathan EricssonJetsD141344120262412348.33%2231322.40000010000142000.00%0212000.2600000100
11Filip ChytilJetsC/LW/RW12224-42042210169.52%312310.2800000000010042.00%5081000.6500000000
12Victor OlofssonJetsLW/RW14314-120911185816.67%114310.2200000000000150.00%471000.5601000000
13Josh MorrisseyJetsD9033-320141816530.00%823526.15000227000028000.00%0410000.2500000000
14Matt LuffJetsRW11213100351131318.18%2787.1600001000000066.67%350000.7600000000
15Nate ProsserJetsD14033-3409127370.00%619914.2500001501101000.00%003000.3000000000
16Mark PysykJetsD14033300142112320.00%2328020.07000110000047000.00%0115000.2100000000
17Mike SgarbossaMilwaukee Admirals (WIN)C21122200120150.00%0178.7900000000001044.44%910002.2700000000
18Chris BigrasMilwaukee Admirals (WIN)D511221356642225.00%712525.01000010000014000.00%006000.3200001001
19Janne KuokkanenMilwaukee Admirals (WIN)C/LW/RW5011-300928350.00%15711.4600000000000052.00%2524000.3500000000
20Matt HunwickJetsD14011-20071511250.00%822115.81000222011016000.00%017000.0900000000
21Brett RitchieJetsRW7011-440650240.00%0618.730000000000000.00%110000.3300000000
22Martin HanzalJetsC90000001262000.00%3606.7300000000000038.24%3401000.0000000000
23Frederick GaudreauMilwaukee Admirals (WIN)C2000000000000.00%000.280000000000000.00%000000.0000000000
24Logan DayMilwaukee Admirals (WIN)D2000000000000.00%052.850000000000000.00%000000.0000000000
Team Total or Average2604066106-9131152742854301392509.30%119412215.86691532319347113644248.23%875100106000.5124003445
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
1MacKenzie BlackwoodJets124700.8893.706322039352172200.7504120110
2Craig AndersonJets41200.9132.911650089252000.000022001
3Jonathan BernierJets20000.9332.67450023016000.0000012000
Team Total or Average185900.8973.498432049474240200.75041414111


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
Alex GalchenyukJetsC/LW/RW241994-02-11No207 Lbs6 ft1NoYesNo1ELCPro & Farm4,900,000$0$0$NoLink
Anthony LouisJetsC/LW231995-02-10No151 Lbs5 ft7NoNoNo0ELCPro & Farm0$0$NoLink
Brett RitchieJetsRW241993-07-01No217 Lbs6 ft3NoNoNo1ELCPro & Farm1,000,000$0$0$NoLink
Colton SissonsJetsC/RW241993-11-05No200 Lbs6 ft1NoNoNo5ELCPro & Farm2,857,143$0$0$NoLink
Craig AndersonJetsG371981-05-21No185 Lbs6 ft2NoYesNo1UFAPro & Farm4,750,000$0$0$NoLink
Filip ChytilJetsC/LW/RW181999-09-05No178 Lbs6 ft1NoNoNo2ELCPro & Farm894,166$0$0$NoLink
Jimmy VeseyJetsLW251993-05-26No206 Lbs6 ft3NoNoNo1RFAPro & Farm2,275,000$0$0$NoLink
Jonathan BernierJetsG291988-08-07No184 Lbs6 ft0YesNoNo1UFAPro & Farm5,700,000$0$0$NoLink
Jonathan EricssonJetsD341984-03-02No220 Lbs6 ft4YesNoNo2UFAPro & Farm3,400,000$0$0$NoLink
Josh MansonJetsD261991-10-07No213 Lbs6 ft3NoNoNo3RFAPro & Farm4,100,000$0$0$NoLink
Josh MorrisseyJetsD231995-03-28No195 Lbs6 ft0NoNoNo1ELCPro & Farm3,150,000$0$0$NoLink
MacKenzie BlackwoodJetsG211996-12-08No225 Lbs6 ft4NoNoNo1ELCPro & Farm697,500$0$0$NoLink
Mark PysykJetsD261992-01-11No200 Lbs6 ft1NoNoNo1RFAPro & Farm2,733,333$0$0$NoLink
Martin HanzalJetsC311987-02-19No230 Lbs6 ft6NoNoNo1UFAPro Only4,750,000$0$0$NoLink
Matt HunwickJetsD331985-05-21No200 Lbs5 ft11NoNoYes1UFAPro & Farm2,250,000$0$0$NoLink
Matt LuffJetsRW211997-05-04Yes188 Lbs6 ft3NoNoNo2ELCPro & Farm676,666$0$0$NoLink
Nate ProsserJetsD321986-05-06No206 Lbs6 ft2NoNoNo2UFAPro & Farm700,000$0$0$NoLink
Nathan MacKinnonJetsC/RW221995-08-31No205 Lbs6 ft0NoNoNo2ELCPro & Farm6,300,000$0$0$NoLink
Troy BrouwerJetsRW321985-08-17No215 Lbs6 ft3YesNoNo1UFAPro & Farm4,500,000$0$0$NoLink
Troy TerryJetsC/RW201997-09-10Yes174 Lbs6 ft1NoNoNo2ELCPro & Farm925,000$0$0$NoLink
Victor OlofssonJetsLW/RW221995-07-18Yes172 Lbs5 ft11NoNoNo2ELCPro & Farm767,500$0$0$NoLink
Wayne SimmondsJetsLW/RW291988-08-25No185 Lbs6 ft2NoNoNo1UFAPro & Farm5,000,000$0$0$NoLink
Zach Aston-ReeseJetsC/LW/RW231994-08-10No204 Lbs6 ft0NoNoNo2ELCPro & Farm1,000,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2326.04198 Lbs6 ft11.572,753,318$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
63,326,308$21,620,475$6,957,143$2,857,143$2,857,143$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jimmy VeseyNathan MacKinnonZach Aston-Reese40023
2Alex GalchenyukColton SissonsWayne Simmonds34122
3Victor OlofssonFilip ChytilTroy Brouwer17121
4Troy TerryMartin HanzalMatt Luff9230
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Josh MorrisseyJonathan Ericsson35122
2Josh MansonMark Pysyk33122
3Matt HunwickNate Prosser22122
4Josh MorrisseyJonathan Ericsson10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alex GalchenyukNathan MacKinnonWayne Simmonds53005
2Jimmy VeseyColton SissonsTroy Brouwer47005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Josh MorrisseyMatt Hunwick60005
2Josh MansonNate Prosser40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Colton SissonsZach Aston-Reese60140
2Troy BrouwerJimmy Vesey40140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jonathan EricssonMark Pysyk60140
2Josh MansonMatt Hunwick40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Colton Sissons60050Josh MansonNate Prosser60050
2Zach Aston-Reese40050Jonathan EricssonMatt Hunwick40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Martin HanzalTroy Terry50122
2Filip ChytilVictor Olofsson50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nate ProsserJosh Morrissey60122
2Josh MansonMark Pysyk40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Wayne SimmondsNathan MacKinnonVictor OlofssonJosh MorrisseyJosh Manson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Zach Aston-ReeseColton SissonsTroy BrouwerJosh MansonJonathan Ericsson
Extra Forwards
Normal PowerPlayPenalty Kill
Zach Aston-Reese, Troy Terry, Matt LuffTroy Brouwer, Matt LuffTroy Brouwer
Extra Defensemen
Normal PowerPlayPenalty Kill
Josh Morrissey, Josh Manson, Jonathan EricssonNate ProsserJosh Morrissey, Jonathan Ericsson
Penalty Shots
Victor Olofsson, Nathan MacKinnon, Troy Terry, Alex Galchenyuk, Matt Luff
Goalie
#1 : Craig Anderson, #2 : MacKenzie Blackwood
Custom OT Lines Forwards
Alex Galchenyuk, Nathan MacKinnon, Jimmy Vesey, Wayne Simmonds, Zach Aston-Reese, Colton Sissons, Colton Sissons, Matt Luff, Victor Olofsson, Troy Brouwer, Troy Terry
Custom OT Lines Defensemen
Josh Morrissey, Mark Pysyk, Josh Manson, Matt Hunwick, Nate Prosser


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
1Avalanche2020000035-21010000023-11010000012-100.00036900030059142322077151046400.00%50100.00%015231148.87%16333149.24%10722747.14%422343163417
2Bruins20200000713-61010000037-41010000046-200.00071118001330501123160821936347228.57%13376.92%115231148.87%16333149.24%10722747.14%371945203616
3Capitals2020000038-51010000014-31010000024-200.00035800102064282214048123134900.00%13561.54%015231148.87%16333149.24%10722747.14%442540193516
4Devils22000000734110000003121100000042241.00071118002410682626160711812325120.00%6183.33%115231148.87%16333149.24%10722747.14%382247183316
5Ducks20101000550100010003211010000023-120.50057120013015915202134919164310220.00%8187.50%115231148.87%16333149.24%10722747.14%432237204019
6Golden Seals211000009721010000014-31100000083520.50091524001530681431230731514393133.33%7271.43%015231148.87%16333149.24%10722747.14%392245183516
7Oilers2010001078-1100000103211010000046-220.5007111800312262211622774211446400.00%6266.67%015231148.87%16333149.24%10722747.14%422445183617
Total1439010104149-8714010101623-7725000002526-1100.3574166107009191134301291611341047411913327442614.29%581475.86%315231148.87%16333149.24%10722747.14%288162304132253120
_Since Last GM Reset1439010104149-8714010101623-7725000002526-1100.3574166107009191134301291611341047411913327442614.29%581475.86%315231148.87%16333149.24%10722747.14%288162304132253120
_Vs Conference1439010104149-8714010101623-7725000002526-1100.3574166107009191134301291611341047411913327442614.29%581475.86%315231148.87%16333149.24%10722747.14%288162304132253120
_Vs Division1439010104149-8714010101623-7725000002526-1100.3574166107009191134301291611341047411913327442614.29%581475.86%315231148.87%16333149.24%10722747.14%288162304132253120

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1410L1416610743047411913327400
All Games
GPWLOTWOTL SOWSOLGFGA
143910104149
Home Games
GPWLOTWOTL SOWSOLGFGA
71410101623
Visitor Games
GPWLOTWOTL SOWSOLGFGA
72500002526
Last 10 Games
WLOTWOTL SOWSOL
261010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
42614.29%581475.86%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
12916113410919113
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
15231148.87%16333149.24%10722747.14%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
288162304132253120


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
1 - 2019-09-221Jets4Devils2WBoxScore
2 - 2019-09-2325Capitals4Jets1LBoxScore
3 - 2019-09-2439Jets4Oilers6LBoxScore
4 - 2019-09-2544Jets1Avalanche2LBoxScore
5 - 2019-09-2658Avalanche3Jets2LBoxScore
7 - 2019-09-2876Ducks2Jets3WXBoxScore
8 - 2019-09-2997Devils1Jets3WBoxScore
9 - 2019-09-30104Jets2Capitals4LBoxScore
10 - 2019-10-01121Jets4Bruins6LBoxScore
11 - 2019-10-02130Jets2Ducks3LBoxScore
12 - 2019-10-03147Golden Seals4Jets1LBoxScore
15 - 2019-10-06167Oilers2Jets3WXXBoxScore
16 - 2019-10-07182Jets8Golden Seals3WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
18 - 2019-10-09204Bruins7Jets3LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity60005000200040001000
Ticket Price95604527210
Attendance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

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

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
0$ 63,326,308$ 62,297,919$ 0$ 1,857,143$
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$ 0 0$ 0$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
0$ 0$ 64,946,536$ 64,946,536$



Depth Chart

Left WingCenterRight Wing
Alex GalchenyukAGE:24PO:75OV:71
Jimmy VeseyAGE:25PO:74OV:69
Wayne SimmondsAGE:29PO:72OV:68
Zach Aston-ReeseAGE:23PO:74OV:66
Filip ChytilAGE:18PO:68OV:64
Janne KuokkanenAGE:20PO:66OV:63
*Victor OlofssonAGE:22PO:68OV:62
Alexander VolkovAGE:20PO:64OV:62
Anthony LouisAGE:23PO:61OV:59
William CarrierAGE:23PO:54OV:55
*Axel Jonsson-FjallbyAGE:20PO:56OV:53
Tyler WongAGE:22PO:54OV:53
Nathan MacKinnonAGE:22PO:87OV:80
Alex GalchenyukAGE:24PO:75OV:71
Colton SissonsAGE:24PO:76OV:70
Zach Aston-ReeseAGE:23PO:74OV:66
Filip ChytilAGE:18PO:68OV:64
*Troy TerryAGE:20PO:67OV:63
Janne KuokkanenAGE:20PO:66OV:63
*Mike SgarbossaAGE:25PO:66OV:62
Anthony LouisAGE:23PO:61OV:59
Frederick GaudreauAGE:25PO:60OV:58
Martin HanzalAGE:31PO:56OV:58
Tanner MacMasterAGE:22PO:55OV:55
*Drake RymshaAGE:19PO:51OV:52
Nathan MacKinnonAGE:22PO:87OV:80
Alex GalchenyukAGE:24PO:75OV:71
Colton SissonsAGE:24PO:76OV:70
Troy BrouwerAGE:32PO:72OV:68
Wayne SimmondsAGE:29PO:72OV:68
Zach Aston-ReeseAGE:23PO:74OV:66
Filip ChytilAGE:18PO:68OV:64
*Troy TerryAGE:20PO:67OV:63
Janne KuokkanenAGE:20PO:66OV:63
*Victor OlofssonAGE:22PO:68OV:62
Alexander VolkovAGE:20PO:64OV:62
Brett RitchieAGE:24PO:64OV:62
*Matt LuffAGE:21PO:67OV:60

Defense #1Defense #2Goalie
Josh MansonAGE:26PO:67OV:74
Josh MorrisseyAGE:23PO:69OV:73
Mark PysykAGE:26PO:63OV:70
Jonathan EricssonAGE:34PO:62OV:70
Nate ProsserAGE:32PO:58OV:63
Matt HunwickAGE:33PO:58OV:62
Brennan MenellAGE:21PO:58OV:61
Chris BigrasAGE:23PO:55OV:60
Sebastian AhoDAGE:22PO:58OV:59
*Logan DayAGE:23PO:57OV:59
*Stefan ElliottAGE:27PO:55OV:57
*Jordan GrossAGE:23PO:55OV:57
Hubert LabrieAGE:26PO:50OV:56
Joonas LyytinenAGE:23PO:49OV:52
MacKenzie BlackwoodAGE:21PO:74OV:71
Craig AndersonAGE:37PO:67OV:67
Jonathan BernierAGE:29PO:65OV:64
Anton ForsbergAGE:25PO:62OV:62
Eamon McAdamAGE:23PO:53OV:55

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
ARTUR GAVRUSJets2012181
Bowen ByramJets20193
Brandon WhitneyJets201290
Calen AddisonJets201857
Calle SjalinJets2017110
Cooper MooreJets2019152
David BernhardtJets2016175
David FarranceJets201750
Eric CiccoliniJets2019182
FELIX SANDSTROMJets201570
Filip HeltJets201687
Isaiah SavilleJets201991
Isak WaltherJets2019122
JACK SADEKJets2015164
Jack PerbixJets201887
Jakob StenqvistJets2016151
Jakov NovakJets2018177
Jamieson ReesJets201932
Jocktan ChaineyJets2017170
Joe FaustJets
Josh EssJets2017200
KARCH BACHMANJets2015160
Marek LanghamerJets
Matt UstaskiJets2014197
Mauro JorgJets2010204
McKade WebsterJets2019173
Nikita NesterenkoJets2019179
Nikolaj Krag ChristensenJets2016177
Nils LundkvistJets201827
Noah RodJets201460
Otto KivenmakiJets2018147
Rem PitlickJets201691
Riley HughesJets2018207
Tarmo ReunanenJets201698
Tuukka TieksolaJets201983
Tyler WeissJets2018117
VEETI VAINIOJets201592

Draft Picks

Year R1R2R3R4R5R6R7R8
2020WIN WIN WIN WIN WIN WIN WIN COL WIN
2021WIN WIN WIN WIN WIN WIN WIN WIN
2022WIN WIN WIN WIN WIN WIN WIN WIN
2023WIN WIN WIN WIN WIN WIN WIN WIN
2024WIN WIN WIN WIN WIN WIN WIN WIN



[2019-09-23 15:20:45] - Milwaukee Admirals hired Dan Muse for 60 000 $ for 1 year(s).
[2019-09-08 15:46:33] - Stefan Elliott signed with Jets for 500 000 $ for 1 year(s) / Option : No Trade.
[2019-09-08 15:46:33] - Stefan Elliott was added to Jets.
[2019-09-08 15:46:21] - Hubert Labrie signed with Jets for 500 000 $ for 1 year(s) / Option : No Trade.
[2019-09-08 15:46:21] - Hubert Labrie was added to Jets.
[2019-09-08 15:42:50] - Jonathan Ericsson signed with Jets for 3 400 000 $ for 2 year(s) / Option : No Trade.
[2019-09-08 15:42:50] - Jonathan Ericsson was added to Jets.
[2019-09-08 15:30:09] - Jets hired Rob Brind'Amour for 3 500 000 $ for 3 year(s).
[2019-09-08 15:26:21] - Mike Sgarbossa signed with Jets for 700 000 $ for 2 year(s).
[2019-09-08 15:26:21] - Mike Sgarbossa was added to Jets.
[2019-09-05 19:58:40] - Milwaukee Admirals fired Roy Sommer.
[2019-08-25 00:05:37] - Jets drafts Eric Ciccolini as the #182 overall pick in the Entry Draft of year 2019.
[2019-08-07 12:01:32] - Jets drafts Nikita Nesterenko as the #179 overall pick in the Entry Draft of year 2019.
[2019-08-07 12:00:49] - Jets drafts McKade Webster as the #173 overall pick in the Entry Draft of year 2019.
[2019-07-28 10:01:55] - Jets drafts Cooper Moore as the #152 overall pick in the Entry Draft of year 2019.
[2019-07-25 23:06:09] - Jets drafts Isak Walther as the #122 overall pick in the Entry Draft of year 2019.
[2019-07-17 21:16:33] - Jets drafts Isaiah Saville as the #91 overall pick in the Entry Draft of year 2019.
[2019-07-15 09:59:41] - Jets drafts Tuukka Tieksola as the #83 overall pick in the Entry Draft of year 2019.
[2019-07-06 21:10:35] - Jets drafts Jamieson Rees as the #32 overall pick in the Entry Draft of year 2019.
[2019-07-06 20:56:59] - Jets drafts Bowen Byram as the #3 overall pick in the Entry Draft of year 2019.
[2019-07-01 18:55:16] - Jordan Gross was added to Jets.
[2019-06-29 19:28:39] - TRADE : From Jets to Panthers : Patrik Virta (P).
[2019-06-29 19:28:39] - TRADE : From Panthers to Jets : Martin Hanzal (58).
[2019-06-26 20:07:47] - Logan Day was added to Jets.



[2019-10-04 13:28:54] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 13:28:53] Game 197 - Sebastian AhoD from Milwaukee Admirals suspended for 1 game(s)
[2019-10-04 13:28:05] Successfully loaded Jets lines done with STHS Client - 3.1.9.9
[2019-10-04 13:28:05] Chris Bigras of Jets was sent down to farm.
[2019-10-04 13:28:05] Janne Kuokkanen of Jets was sent down to farm.
[2019-10-03 19:06:15] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased. But, Jets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-10-02 19:37:27] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased. But, Jets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-10-02 19:37:25] Alexander Volkov from Milwaukee Admirals has scored a Hat Trick!
[2019-10-02 19:37:25] Game 168 - William Carrier from Milwaukee Admirals is injured (Fractured Bone in Left Hand) and is out for 3 weeks.
[2019-10-02 19:24:45] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased. But, Jets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-09-30 18:18:20] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased. But, Jets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-09-30 18:16:06] Josh Morrissey from Jets is back from Exhaustion.
[2019-09-30 18:15:47] Successfully loaded Jets lines done with STHS Client - 3.1.9.9
[2019-09-30 18:15:47] Chris Bigras of Jets was sent to pro.
[2019-09-27 13:22:13] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased. But, Jets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-09-27 13:22:12] Josh Morrissey from Jets is injured from Exhaustion.
[2019-09-27 13:22:07] Auto Lines Function has been run for Jets.
[2019-09-27 13:22:07] Auto Roster Partial Function has been run for Jets.
[2019-09-27 13:20:41] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased. But, Jets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-09-27 13:20:32] Auto Lines Function has been run for Jets.
[2019-09-27 13:20:32] Auto Roster Partial Function has been run for Jets.
[2019-09-26 16:13:15] Zach Aston-Reese from Jets is back from Exhaustion.
[2019-09-26 16:12:27] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased. But, Jets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-09-26 16:12:26] Zach Aston-Reese from Jets is injured from Exhaustion.
[2019-09-26 16:11:23] Anton Forsberg from Milwaukee Admirals is back from Exhaustion.
[2019-09-26 16:09:53] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased. But, Jets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-09-26 16:09:52] Anton Forsberg from Milwaukee Admirals injured (Exhaustion)
[2019-09-26 16:09:32] Successfully loaded Jets lines done with STHS Client - 3.1.9.9
[2019-09-26 16:09:32] Matt Luff of Jets was sent to pro.



Sebastian AhoD is suspended for 1 more games.



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