Jets
GP: 63 | W: 26 | L: 33 | OTL: 4 | P: 56
GF: 170 | GA: 195 | PP%: 16.13% | PK%: 74.52%
GM : Sebastien Doyon | Morale : 35 | Team Overall : 68
Next Games #996 vs Lightning
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)XX98.006943949774869397799994577770728850800
2Victor OlofssonXX98.005940968363788087448086562550507950700
3Andreas AthanasiouXXX100.006964849271728375447272627566677354690
4Kyle TurrisXX100.006141898271707676757768646676797050690
5Colton SissonsXX100.008044897974678359856070892566687351680
6Wayne Simmonds (A)XX100.008665737771689180407062616181846851680
7Zach Aston-ReeseXXX100.008946857773677367356160842556576951650
8Filip ChytilXXX98.045940948266688969726274612559597037650
9Mike SgarbossaX100.007468876568737569807163656044446820630
10William Carrier (R)X100.009557848078558059566359562561626451620
11Troy BrouwerX100.008393847383546257445058675779846230610
12Brett PesceX100.006352868376848461255749888068696554710
13Erik GudbransonX100.008286517686788162254949867572736329700
14Josh MorrisseyX100.006542888671867972256949692564666552680
15Mark PysykX100.007143898074608156445260772567676651660
16Jonathan EricssonX100.007845927183646056253947762575795935650
Scratches
1James van RiemsdykX97.006342957880688379357680615477807649700
2Josh MansonX95.618858798279817961255247842566676441710
3Dakota MermisX100.008544876767778065255050757955556321650
4Nate ProsserX100.007676776076636848253739673766685220590
TEAM AVERAGE99.30755485797471796845626270476668684267
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 Blackwood98.00817972908280698285819054546347760
2Jonathan Bernier100.00737471677472627276736568695951690
Scratches
TEAM AVERAGE99.0077777279787666778177786162614973
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Rob Brind'Amour90917790666480CAN4623,500,000$


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/RW63174158-17809094217841507.83%26131820.9351015211400007662451.39%17245519000.8811000234
2Victor OlofssonJetsLW/RW63302656-16065652378413212.66%19113017.957512331390000166330.49%824630010.9902000731
3Kyle TurrisJetsC/RW632022421514060901604610912.50%24103016.363369890001525252.90%7073725010.8112000341
4James van RiemsdykJetsLW59162238-620876418850978.51%34119120.194711201331015532036.70%1094322000.6411000145
5Colton SissonsJetsC/RW63161733040708591215217.58%3193114.7803367901101131155.67%6972812100.7100000213
6Andreas AthanasiouJetsC/LW/RW6314193371810925918358877.65%25100916.03437151090003171139.02%415417000.6500110031
7Wayne SimmondsJetsLW/RW6391827-22801034412847837.03%1879312.60000414000002034.88%432310000.6801000034
8Zach Aston-ReeseJetsC/LW/RW6310919-11100647912539848.00%2081812.980000911261191135.88%1702922200.4600000100
9Filip ChytilJetsC/LW/RW6161319-6003768128441084.69%2197115.92000429000090036.07%613517000.3900000001
10Brett PesceJetsD6221517-526067995927333.39%105135521.861231430111135000.00%01043000.2500000000
11Janne KuokkanenMilwaukee Admirals (WIN)C/LW/RW475121736040525721458.77%1963113.43000266000012052.78%361714000.5400000112
12Josh MorrisseyJetsD6251015122060877433266.76%90136522.020338152000171000.00%02040100.2200000001
13Josh MansonJetsD633111415515851126823324.41%74130820.77000047000290000.00%0747000.2100111011
14Erik GudbransonJetsD6021012610410107855823243.45%71117919.65011232000193010.00%0537000.2001001010
15William CarrierJetsLW635712-1014041239321445.38%35458.6600001000002144.44%9319000.4400000101
16Mark PysykJetsD63178-1018056775621281.79%40105816.80101284000017000.00%01038000.1500000010
17Mike SgarbossaJetsC2643700015113951710.26%41857.1300001000001146.38%6956000.7500000001
18Jonathan EricssonJetsD58246-162045614919254.08%55101917.58000287000177000.00%0127000.1200000000
19Troy BrouwerJetsRW63235-443156237406305.00%185829.24000010003440030.77%13510000.1700101000
20Bowen ByramMilwaukee Admirals (WIN)D4000100120000.00%2225.570000000000000.00%010000.0000000000
21Nate ProsserJetsD4000200101000.00%0215.460000000001000.00%002000.0000000000
22Dakota MermisJetsD20000060181115220.00%923511.79000014000012000.00%018000.0000000000
Team Total or Average1156169269438-523865012661305206667412088.18%7081870616.18253762129127723531995251550.15%3761463455420.4738323182526
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 BlackwoodJets46192420.9083.092681201381503760421.00024517522
2Jonathan BernierJets207920.9162.9211110054642324100.50041845410
Team Total or Average66263340.9103.0437932019221451084520.66766362932


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 Type Current Salary Salary 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 10Link
Andreas AthanasiouJetsC/LW/RW261994-08-05No188 Lbs6 ft2NoNoNo1Pro & Farm3,000,000$3,000,000$760,000$NoLink
Brett PesceJetsD261994-11-15No200 Lbs6 ft3NoNoNo2Pro & Farm3,675,000$3,675,000$931,000$No3,675,000$Link
Colton SissonsJetsC/RW271993-11-05No200 Lbs6 ft1NoNoNo4Pro & Farm2,857,143$2,857,143$723,810$No2,857,143$2,857,143$2,857,143$Link
Dakota MermisJetsD271994-01-05No188 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$177,333$NoLink
Erik GudbransonJetsD291992-01-07No220 Lbs6 ft5NoNoNo1Pro & Farm4,000,000$4,000,000$1,013,333$NoLink
Filip ChytilJetsC/LW/RW211999-09-05No178 Lbs6 ft1NoNoNo1Pro & Farm894,166$894,166$226,522$NoLink
James van RiemsdykJetsLW311989-05-04No217 Lbs6 ft3NoNoNo3Pro & Farm7,000,000$7,000,000$1,773,333$No7,000,000$7,000,000$Link
Jonathan BernierJetsG321988-08-07No184 Lbs6 ft0YesNoNo1Pro & Farm3,000,000$3,000,000$760,000$NoLink
Jonathan EricssonJetsD371984-03-02No220 Lbs6 ft4YesNoNo1Pro & Farm3,400,000$3,400,000$861,333$NoLink
Josh Manson (Out of Payroll)JetsD291991-10-07No213 Lbs6 ft3NoNoNo2Pro & Farm4,100,000$4,100,000$1,038,667$No4,100,000$Link
Josh MorrisseyJetsD261995-03-28No195 Lbs6 ft0NoNoNo5Pro & Farm6,250,000$6,250,000$1,583,333$No6,250,000$6,250,000$6,250,000$6,250,000$Link
Kyle TurrisJetsC/RW311989-08-14No190 Lbs6 ft1NoNoNo2Pro & Farm6,000,000$6,000,000$1,520,000$No6,000,000$Link
Mackenzie BlackwoodJetsG241996-12-08No225 Lbs6 ft4NoNoNo3Pro & Farm913,333$913,333$231,378$No2,800,000$2,800,000$Link
Mark PysykJetsD291992-01-11No200 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$190,000$NoLink
Mike SgarbossaJetsC281992-07-24No186 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$177,333$NoLink
Nate ProsserJetsD341986-05-06No206 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$177,333$NoLink
Nathan MacKinnonJetsC/RW251995-08-31No205 Lbs6 ft0NoNoNo1Pro & Farm6,300,000$6,300,000$1,596,000$NoLink
Troy BrouwerJetsRW351985-08-17No215 Lbs6 ft3YesNoNo1Pro & Farm900,000$900,000$228,000$NoLink
Victor OlofssonJetsLW/RW251995-07-18No172 Lbs5 ft11NoNoNo2Pro & Farm3,050,000$3,050,000$772,667$No3,050,000$Link
Wayne SimmondsJetsLW/RW321988-08-25No185 Lbs6 ft2NoNoNo1Pro & Farm2,000,000$2,000,000$506,667$NoLink
William CarrierJetsLW261994-12-20Yes212 Lbs6 ft2NoNoNo4Pro & Farm1,400,000$1,400,000$354,667$No1,400,000$1,400,000$1,400,000$Link
Zach Aston-ReeseJetsC/LW/RW261994-08-10No204 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$253,333$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2228.45200 Lbs6 ft21.822,844,984$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
62,589,642$37,132,143$20,307,143$10,507,143$6,250,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nathan MacKinnonFilip Chytil40122
2Andreas AthanasiouKyle TurrisVictor Olofsson27122
3Wayne SimmondsColton SissonsZach Aston-Reese23221
4William CarrierMike SgarbossaTroy Brouwer10221
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Josh MorrisseyBrett Pesce34122
2Erik Gudbranson34122
3Jonathan EricssonMark Pysyk30122
4Josh MorrisseyBrett Pesce2122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nathan MacKinnonVictor Olofsson60122
2Andreas AthanasiouKyle TurrisColton Sissons40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Josh MorrisseyFilip Chytil60122
2Mark Pysyk40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Colton SissonsZach Aston-Reese60122
2Kyle TurrisTroy Brouwer40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Brett PesceErik Gudbranson60122
2Jonathan Ericsson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Zach Aston-Reese60122Brett PesceErik Gudbranson60122
2Colton Sissons40122Jonathan Ericsson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mike SgarbossaVictor Olofsson60122
2Zach Aston-ReeseTroy Brouwer40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik Gudbranson60122
2Josh MorrisseyMark Pysyk40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nathan MacKinnonVictor OlofssonJosh Morrissey
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Zach Aston-ReeseColton SissonsTroy BrouwerBrett Pesce
Extra Forwards
Normal PowerPlayPenalty Kill
Zach Aston-Reese, Andreas Athanasiou, Colton SissonsZach Aston-Reese, Colton SissonsTroy Brouwer
Extra Defensemen
Normal PowerPlayPenalty Kill
Erik Gudbranson, Brett Pesce, Mark PysykErik GudbransonJosh Morrissey, Mark Pysyk
Penalty Shots
Nathan MacKinnon, Victor Olofsson, Andreas Athanasiou, Wayne Simmonds, Colton Sissons
Goalie
#1 : Mackenzie Blackwood, #2 : Jonathan Bernier
Custom OT Lines Forwards
Filip Chytil, Victor Olofsson, Kyle Turris, Wayne Simmonds, Colton Sissons, Nathan MacKinnon, Nathan MacKinnon, Zach Aston-Reese, , Troy Brouwer, William Carrier
Custom OT Lines Defensemen
Brett Pesce, , Josh Morrissey, Mark Pysyk, Jonathan Ericsson


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
1Avalanche211000004401010000013-21100000031220.5004711000400531918160691914314125.00%8187.50%0684139349.10%769145852.74%43389148.60%412342183517
2Blackhawks311000108801010000013-22100001075240.66781321002322973437254983412609111.11%6266.67%0684139349.10%769145852.74%43389148.60%653764275530
3Bruins413000001012-21010000023-13120000089-120.25010152500262015657554401495714771218.33%7185.71%0684139349.10%769145852.74%43389148.60%854987356635
4Canadiens1010000015-4000000000001010000015-400.0001120001004013141303410422400.00%2150.00%0684139349.10%769145852.74%43389148.60%2314208169
5Canucks22000000734220000007340000000000041.0007111800115084262434070212437228.57%10100.00%0684139349.10%769145852.74%43389148.60%432641163417
6Capitals10001000431000000000001000100043121.0004590011113361610132810295120.00%5260.00%0684139349.10%769145852.74%43389148.60%20102110199
7Ducks21100000770110000004221010000035-220.500712190012406619272007214234800.00%10100.00%0684139349.10%769145852.74%43389148.60%371844183819
8Flames11000000312000000000001100000031221.0003470002101877404511815100.00%40100.00%1684139349.10%769145852.74%43389148.60%1810259167
9Golden Knights31200000770211000005411010000023-120.33371219002320953439220923035593133.33%11372.73%0684139349.10%769145852.74%43389148.60%623663285325
10Golden Seals321000001082110000004222110000066040.66710172700136097263932088321269400.00%6266.67%0684139349.10%769145852.74%43389148.60%613465255327
11Islanders30300000410-61010000024-22020000026-400.00046101021108826372508538184613215.38%9455.56%0684139349.10%769145852.74%43389148.60%633459285628
12Kraken411001011216-42110000068-22000010168-240.50012193100282112134374681404814923133.33%7442.86%0684139349.10%769145852.74%43389148.60%794590387535
13Lightning2110000047-32110000047-30000000000020.500459000130531616210661920456116.67%50100.00%0684139349.10%769145852.74%43389148.60%362047203616
14Maple Leafs20200000710-320200000710-30000000000000.0007101700322055221320060306484375.00%3166.67%0684139349.10%769145852.74%43389148.60%402244183416
15Maroons22000000945110000006241100000032141.000915240024306418202606115333713215.38%50100.00%0684139349.10%769145852.74%43389148.60%442540183518
16Nordiques11000000844110000008440000000000021.0008142200215039121017029141515100.00%5180.00%0684139349.10%769145852.74%43389148.60%2213198178
17Oilers532000001394220000005233120000087160.600132134002560178555469017751411131200.00%18288.89%1684139349.10%769145852.74%43389148.60%11164102458642
18Panthers2020000026-42020000026-40000000000000.0002460002006523251707226652100.00%3166.67%0684139349.10%769145852.74%43389148.60%442740163417
19Penguins3120000079-23120000079-20000000000020.3337132000142010631373801033210608112.50%5260.00%0684139349.10%769145852.74%43389148.60%674060255227
20Predators2020000039-6000000000002020000039-600.00034700111064211924072331246400.00%6183.33%0684139349.10%769145852.74%43389148.60%412344183416
21Rangers1010000035-21010000035-20000000000000.00034710120038814160408622100.00%3233.33%0684139349.10%769145852.74%43389148.60%2213198178
22Red Wings320001007521000010023-12200000052350.83379160031301043833330942210398112.50%50100.00%0684139349.10%769145852.74%43389148.60%603566295426
23Sabres1010000015-4000000000001010000015-400.0001230010003210101203716819300.00%4175.00%0684139349.10%769145852.74%43389148.60%2011219178
24Senateurs1010000045-11010000045-10000000000000.00048120003103151790461682111100.00%4175.00%0684139349.10%769145852.74%43389148.60%1810248168
25Sharks41300000915-62020000047-32110000058-320.2509142300171012337464001384826875240.00%13561.54%0684139349.10%769145852.74%43389148.60%834888356832
26Stars4110110015141211000008712000110077050.625152237004461137304659214135317211327.27%8275.00%0684139349.10%769145852.74%43389148.60%834891367135
27Wild1010000014-3000000000001010000014-300.00012300100034156130371811154125.00%3166.67%0684139349.10%769145852.74%43389148.60%1810259157
Total63233302311170195-25321318001009299-7311015022117896-18560.444170269439203672595207164271670515214770538812681552516.13%1574074.52%2684139349.10%769145852.74%43389148.60%131975813655741113554
_Since Last GM Reset63233302311170195-25321318001009299-7311015022117896-18560.444170269439203672595207164271670515214770538812681552516.13%1574074.52%2684139349.10%769145852.74%43389148.60%131975813655741113554
_Vs Conference45162301311113133-2021812001005162-1124811012116271-9400.44411317729010235137414724585134941415124982698961021514.71%1142974.56%1684139349.10%769145852.74%43389148.60%945541974412799397
_Vs Division23910012016671-51266000003435-11134012013236-4230.500661061720011312327622132592841078724613449343716.28%571770.18%1684139349.10%769145852.74%43389148.60%486281497207406201

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
6356L317026943920712147705388126820
All Games
GPWLOTWOTL SOWSOLGFGA
6323332311170195
Home Games
GPWLOTWOTL SOWSOLGFGA
32131801009299
Visitor Games
GPWLOTWOTL SOWSOLGFGA
31101522117896
Last 10 Games
WLOTWOTL SOWSOL
550000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1552516.13%1574074.52%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
642716705153672595
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
684139349.10%769145852.74%43389148.60%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
131975813655741113554


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 - 2020-11-1012Penguins1Jets3WBoxScore
3 - 2020-11-1227Jets4Bruins3WBoxScore
4 - 2020-11-1341Jets1Islanders3LBoxScore
5 - 2020-11-1447Golden Seals2Jets4WBoxScore
7 - 2020-11-1665Jets2Stars3LXBoxScore
9 - 2020-11-1880Golden Knights1Jets3WBoxScore
12 - 2020-11-21104Penguins2Jets1LBoxScore
16 - 2020-11-25128Oilers1Jets2WBoxScore
17 - 2020-11-26138Jets2Oilers3LBoxScore
19 - 2020-11-28158Canucks1Jets2WBoxScore
21 - 2020-11-30178Jets5Blackhawks4WXXBoxScore
22 - 2020-12-01188Jets3Golden Seals5LBoxScore
23 - 2020-12-02200Sharks3Jets1LBoxScore
25 - 2020-12-04221Avalanche3Jets1LBoxScore
28 - 2020-12-07238Jets1Bruins2LBoxScore
29 - 2020-12-08248Jets4Sharks3WBoxScore
30 - 2020-12-09259Penguins6Jets3LBoxScore
32 - 2020-12-11284Golden Knights3Jets2LBoxScore
33 - 2020-12-12292Jets1Oilers3LBoxScore
36 - 2020-12-15313Jets5Oilers1WBoxScore
37 - 2020-12-16327Sharks4Jets3LBoxScore
39 - 2020-12-18347Maple Leafs4Jets3LBoxScore
40 - 2020-12-19353Jets4Capitals3WXBoxScore
42 - 2020-12-21373Jets1Islanders3LBoxScore
45 - 2020-12-24386Senateurs5Jets4LBoxScore
48 - 2020-12-27409Kraken2Jets4WBoxScore
49 - 2020-12-28425Jets3Kraken4LXBoxScore
51 - 2020-12-30441Bruins3Jets2LBoxScore
53 - 2021-01-01452Jets3Kraken4LXXBoxScore
55 - 2021-01-03472Ducks2Jets4WBoxScore
56 - 2021-01-04483Jets2Blackhawks1WBoxScore
57 - 2021-01-05499Stars1Jets6WBoxScore
59 - 2021-01-07516Jets3Avalanche1WBoxScore
60 - 2021-01-08533Panthers3Jets1LBoxScore
63 - 2021-01-11552Jets1Sabres5LBoxScore
64 - 2021-01-12559Jets3Golden Seals1WBoxScore
65 - 2021-01-13571Nordiques4Jets8WBoxScore
67 - 2021-01-15594Panthers3Jets1LBoxScore
69 - 2021-01-17611Jets3Ducks5LBoxScore
71 - 2021-01-19621Jets3Flames1WBoxScore
72 - 2021-01-20633Blackhawks3Jets1LBoxScore
74 - 2021-01-22647Jets2Predators5LBoxScore
75 - 2021-01-23661Jets3Maroons2WBoxScore
76 - 2021-01-24673Islanders4Jets2LBoxScore
78 - 2021-01-26694Jets5Stars4WXBoxScore
80 - 2021-01-28705Red Wings3Jets2LXBoxScore
82 - 2021-01-30724Kraken6Jets2LBoxScore
84 - 2021-02-01745Jets1Sharks5LBoxScore
86 - 2021-02-03755Oilers1Jets3WBoxScore
88 - 2021-02-05771Jets1Predators4LBoxScore
89 - 2021-02-06786Stars6Jets2LBoxScore
92 - 2021-02-09806Jets2Golden Knights3LBoxScore
93 - 2021-02-10818Maple Leafs6Jets4LBoxScore
96 - 2021-02-13842Lightning2Jets3WBoxScore
97 - 2021-02-14853Jets3Bruins4LBoxScore
100 - 2021-02-17871Jets3Red Wings1WBoxScore
101 - 2021-02-18879Canucks2Jets5WBoxScore
103 - 2021-02-20897Jets1Wild4LBoxScore
104 - 2021-02-21911Maroons2Jets6WBoxScore
107 - 2021-02-24933Jets2Red Wings1WBoxScore
108 - 2021-02-25942Rangers5Jets3LBoxScore
110 - 2021-02-27965Lightning5Jets1LBoxScore
111 - 2021-02-28979Jets1Canadiens5LBoxScore
113 - 2021-03-02996Jets-Lightning-
114 - 2021-03-031004Jets-Stars-
115 - 2021-03-041012Ducks-Jets-
117 - 2021-03-061037Blues-Jets-
120 - 2021-03-091060Avalanche-Jets-
122 - 2021-03-111072Jets-Ducks-
123 - 2021-03-121085Jets-Senateurs-
125 - 2021-03-141097Red Wings-Jets-
126 - 2021-03-151107Jets-Sabres-
129 - 2021-03-181126Jets-Lightning-
130 - 2021-03-191136Jets-Penguins-
131 - 2021-03-201143Predators-Jets-
133 - 2021-03-221166Predators-Jets-
Trade Deadline --- Trades can’t be done after this day is simulated!
136 - 2021-03-251188Jets-Flyers-
137 - 2021-03-261192Jets-Kings-
138 - 2021-03-271200Jets-Penguins-
139 - 2021-03-281209Maroons-Jets-
143 - 2021-04-011234Golden Seals-Jets-
147 - 2021-04-051255Golden Seals-Jets-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity60005000200040001000
Ticket Price95604527210
Attendance182,731153,71343,80084,04922,679
Attendance PCT95.17%96.07%68.44%65.66%70.87%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
9 15218 - 84.54% 1,656,933$53,021,855$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
48,992,676$ 62,589,642$ 52,533,252$ 0$ 2,937,500$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
62,589,642$ 48,992,676$ 0$ 22 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
14,912,397$ 38 440,598$ 16,742,724$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
17,144,895$ 67,874,528$ 66,322,284$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
69,087,142$ 13,412,858$ 82,500,000$ 6,087,142$



Depth Chart

Left WingCenterRight Wing
Victor OlofssonAGE:25PO:79OV:70
James van RiemsdykAGE:31PO:76OV:70
Andreas AthanasiouAGE:26PO:73OV:69
Wayne SimmondsAGE:32PO:68OV:68
Filip ChytilAGE:21PO:70OV:65
Zach Aston-ReeseAGE:26PO:69OV:65
Janne KuokkanenAGE:22PO:67OV:65
William Carrier (R)AGE:26PO:64OV:62
Alexis Lafreniere (R)AGE:19PO:90OV:61
Rem Pitlick (R)AGE:24PO:62OV:58
Axel Jonsson-FjallbyAGE:23PO:60OV:56
Luke GazdicAGE:31PO:53OV:52
Nathan MacKinnonAGE:25PO:88OV:80
Andreas AthanasiouAGE:26PO:73OV:69
Kyle TurrisAGE:31PO:70OV:69
Colton SissonsAGE:27PO:73OV:68
Filip ChytilAGE:21PO:70OV:65
Zach Aston-ReeseAGE:26PO:69OV:65
Janne KuokkanenAGE:22PO:67OV:65
Mike SgarbossaAGE:28PO:68OV:63
Troy TerryAGE:23PO:64OV:62
Frederick GaudreauAGE:27PO:65OV:61
Rem Pitlick (R)AGE:24PO:62OV:58
Tanner MacMasterAGE:25PO:61OV:58
Drake RymshaAGE:22PO:51OV:50
Nathan MacKinnonAGE:25PO:88OV:80
Victor OlofssonAGE:25PO:79OV:70
Andreas AthanasiouAGE:26PO:73OV:69
Kyle TurrisAGE:31PO:70OV:69
Colton SissonsAGE:27PO:73OV:68
Wayne SimmondsAGE:32PO:68OV:68
Filip ChytilAGE:21PO:70OV:65
Zach Aston-ReeseAGE:26PO:69OV:65
Janne KuokkanenAGE:22PO:67OV:65
Troy TerryAGE:23PO:64OV:62
Brett RitchieAGE:27PO:63OV:61
Troy BrouwerAGE:35PO:62OV:61
Evan WeingerAGE:24PO:63OV:59
Reese Johnson (R)AGE:22PO:53OV:53

Defense #1Defense #2Goalie
Brett PesceAGE:26PO:65OV:71
Josh MansonAGE:29PO:64OV:71
Erik GudbransonAGE:29PO:63OV:70
Josh MorrisseyAGE:26PO:65OV:68
Mark PysykAGE:29PO:66OV:66
Dakota MermisAGE:27PO:63OV:65
Jonathan EricssonAGE:37PO:59OV:65
Bowen Byram (R)AGE:19PO:52OV:63
Jordan GrossAGE:25PO:60OV:59
Nate ProsserAGE:34PO:52OV:59
Chris BigrasAGE:26PO:55OV:58
Logan DayAGE:26PO:55OV:57
Hubert LabrieAGE:29PO:52OV:56
Thomas HickeyAGE:32PO:51OV:56
Tobias GeisserAGE:22PO:49OV:52
Mackenzie BlackwoodAGE:24PO:63OV:76
Jonathan BernierAGE:32PO:59OV:69
Anton ForsbergAGE:28PO:45OV:58
Mat Robson (R)AGE:25PO: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
Brandon WhitneyJets201290
Calen AddisonJets201857
Calle SjalinJets2017110
Cooper MooreJets2019152
David BernhardtJets2016175
Dmitri OvchinnikovJets202073
Elliot EkefjardJets2020193
Eric CiccoliniJets2019182
Ethan BowenJets2020207
FELIX SANDSTROMJets201570
Filip HeltJets201687
Ian MooreJets2020100
Isaiah SavilleJets201991
Isak WaltherJets2019122
JACK SADEKJets2015164
Jack PerbixJets201887
Jakob StenqvistJets2016151
Jakov NovakJets2018177
Jamieson ReesJets201932
Jocktan ChaineyJets2017170
Joe FaustJets
Josh EssJets2017200
KARCH BACHMANJets2015160
Lucas MercuriJets2020162
Marek LanghamerJets
Matt UstaskiJets2014197
Mauro JorgJets2010204
McKade WebsterJets2019173
Nikita NesterenkoJets2019179
Nikolaj Krag ChristensenJets2016177
Nils LundkvistJets201827
Noah RodJets201460
Otto KivenmakiJets2018147
Rhett PitlickJets201998
Riley HughesJets2018207
Tarmo ReunanenJets201698
Theodor NiederbachJets202052
Tristen RobinsJets202038
Tuukka TieksolaJets201983
Tyler WeissJets2018117
VEETI VAINIOJets201592

Draft Picks

Year R1R2R3R4R5R6R7R8
2021DET 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
2025WIN WIN WIN WIN WIN WIN WIN WIN




News Database File Not Found. Please create one from the STHS.




[2021-03-05 16:07:59] - Bowen Byram was added to Jets.
[2021-03-05 15:41:53] - Alexis Lafreniere was added to Jets.
[2020-11-16 09:21:34] - TRADE : From Jets to Canadiens : Alex Galchenyuk (66), Alexander Volkov (62), David Farrance (P), Y:2021-RND:1-WIN.
[2020-11-16 09:21:34] - TRADE : From Canadiens to Jets : Andreas Athanasiou (69), Brett Pesce (71).
[2020-10-28 17:02:08] - Reese Johnson was added to Jets.
[2020-10-19 19:33:41] - Luke Gazdic signed with Jets for 700 000 $ for 1 year(s) / Option : No Trade.
[2020-10-19 19:33:41] - Luke Gazdic was added to Jets.
[2020-10-19 19:33:29] - Hubert Labrie signed with Jets for 700 000 $ for 1 year(s) / Option : No Trade.
[2020-10-19 19:33:29] - Hubert Labrie was added to Jets.
[2020-10-16 16:03:35] - TRADE : From Predators to Jets : Evan Weinger (59), Tobias Geisser (52).
[2020-10-16 16:03:35] - TRADE : From Jets to Predators : Hugo Ollas (P).
[2020-10-12 19:15:12] - Milwaukee Admirals hired Ben Simon for 60 000 $ for 1 year(s).
[2020-10-09 14:03:34] - Jets drafts Ethan Bowen as the #207 overall pick in the Entry Draft of year 2020.
[2020-10-09 14:02:46] - Jets drafts Hugo Ollas as the #198 overall pick in the Entry Draft of year 2020.
[2020-10-09 14:02:15] - Jets drafts Elliot Ekefjard as the #193 overall pick in the Entry Draft of year 2020.
[2020-10-09 13:58:33] - Jets drafts Lucas Mercuri as the #162 overall pick in the Entry Draft of year 2020.
[2020-10-09 13:48:54] - Jets drafts Ian Moore as the #100 overall pick in the Entry Draft of year 2020.



[2021-04-20 20:30:30] Josh Manson from Jets is back from Bruised Right Foot Injury.
[2021-04-20 20:30:30] Game 1004 - Rem Pitlick from Milwaukee Admirals is injured (Back) and is out for 2 months.
[2021-04-19 19:07:15] James van Riemsdyk from Jets is back from Exhaustion.
[2021-04-19 17:33:49] Jets are expected to be under the minimum salary cap by 5 012 858 $!
[2021-04-19 17:21:04] Jets are expected to be under the minimum salary cap by 5 012 858 $!
[2021-04-19 17:20:57] James van Riemsdyk from Jets is injured from Exhaustion.
[2021-04-19 17:20:57] Game 979 - Josh Manson from Jets is injured (Bruised Right Foot) and is out for 1 week.
[2021-04-19 17:19:14] Successfully loaded Jets lines done with STHS Client - 3.2.5.5
[2021-04-19 17:19:14] Bowen Byram of Jets was sent down to farm.
[2021-04-16 20:30:12] Axel Jonsson-Fjallby from Milwaukee Admirals has scored a Hat Trick!
[2021-04-16 20:30:12] Janne Kuokkanen from Milwaukee Admirals has scored a Hat Trick!
[2021-04-16 20:27:24] Auto Lines Function has been run for Jets.
[2021-04-16 20:27:24] Auto Roster Partial Function has been run for Jets.
[2021-04-15 20:51:47] Game 973 - Chris Bigras from Milwaukee Admirals is injured (Broken Nose) and is out for 3 weeks.
[2021-04-14 18:27:35] Auto Lines Function has been run for Jets.
[2021-04-14 18:27:35] Auto Roster Partial Function has been run for Jets.
[2021-04-13 20:24:08] Filip Chytil from Jets is back from Left Hip Injury.
[2021-04-13 20:24:08] Jonathan Ericsson from Jets is back from Abdomen/Ribs Injury.
[2021-04-13 20:24:08] Janne Kuokkanen of Jets was sent to farm.
[2021-04-13 20:23:51] Auto Lines Function has been run for Jets.
[2021-04-13 20:23:51] Auto Roster Partial Function has been run for Jets.
[2021-04-13 20:23:51] Janne Kuokkanen of Jets was sent to pro.
[2021-04-09 15:35:40] Bowen Byram from Jets is back from Sore Right Knee Injury.
[2021-04-09 15:35:40] Alexis Lafreniere from Milwaukee Admirals has scored a Hat Trick!
[2021-04-08 20:28:44] Janne Kuokkanen of Jets was sent to farm.
[2021-04-08 20:28:43] Game 911 - Bowen Byram from Jets is injured (Sore Right Knee) and is out for 1 week.
[2021-04-08 20:27:11] Auto Lines Function has been run for Jets.
[2021-04-08 20:27:11] Auto Roster Partial Function has been run for Jets.
[2021-04-08 20:27:11] Bowen Byram of Jets was sent to pro.
[2021-04-08 20:27:11] Janne Kuokkanen of Jets was sent to pro.
[2021-04-07 16:42:09] James van Riemsdyk from Jets is back from Exhaustion.
[2021-04-07 16:41:27] Jets are expected to be under the minimum salary cap by 5 207 024 $!
[2021-04-07 16:41:20] James van Riemsdyk from Jets is injured from Exhaustion.
[2021-04-07 16:41:20] Game 897 - Filip Chytil from Jets is injured (Left Hip) and is out for 1 week.
[2021-04-05 20:00:04] Thomas Hickey from Milwaukee Admirals is back from Fractured Orbital Bone Injury.



No Injury or Suspension.


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