Jets
GP: 39 | W: 17 | L: 19 | OTL: 3 | P: 37
GF: 109 | GA: 111 | PP%: 13.79% | PK%: 72.63%
DG: Sebastien Doyon | Morale : 43 | Moyenne d'Équipe : 68
Prochain matchs #621 vs Flames
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Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur 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)XX100.006943949774869397799994577770728853800
2Victor OlofssonXX100.005940968363788087448086562550507953700
3Andreas AthanasiouXXX100.006964849271728375447272627566677356690
4Kyle TurrisXX100.006141898271707676757768646676797052690
5Colton SissonsXX100.008044897974678359856070892566687353680
6Wayne Simmonds (A)XX100.008665737771689180407062616181846853680
7Zach Aston-ReeseXXX100.008946857773677367356160842556576953650
8Filip ChytilXXX100.005940948266688969726274612559597053650
9Janne KuokkanenXXX100.007569897669717367806762675950506754640
10Mike SgarbossaX100.007468876568737569807163656044446820630
11William Carrier (R)X100.009557848078558059566359562561626453620
12Troy BrouwerX100.008393847383546257445058675779846229610
13Erik GudbransonX100.008286517686788162254949867572736345710
14Josh MansonX100.008858798279817961255247842566676453710
15Brett PesceX100.006352868376848461255749888068696556710
16Josh MorrisseyX100.006542888671867972256949692564666554680
17Mark PysykX100.007143898074608156445260772567676653660
18Jonathan EricssonX100.007845927183646056253947762575795953650
Rayé
1James van RiemsdykX100.006342957880688379357680615477807654700
2Dakota MermisX100.008544876767778065255050757955556326650
3Nate ProsserX100.007676776076636848253739673766685220590
MOYENNE D'ÉQUIPE100.00755585787471796847636270486567684767
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Mackenzie Blackwood100.00817972908280698285819054546350760
2Jonathan Bernier100.00737471677472627276736568695953690
Rayé
MOYENNE D'ÉQUIPE100.0077777279787666778177786162615273
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rob Brind'Amour90917790666480CAN4623,500,000$


Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur Nom de l'ÉquipePOSGP 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/RW391426402205658128549510.94%2080120.5434711800004402452.58%9513113001.0011000224
2Victor OlofssonJetsLW/RW392019393003831160688112.50%1271018.2234718800000103333.90%592817011.1002000421
3Kyle TurrisJetsC/RW391316291280405391256614.29%1764516.551233460001344253.73%4692820010.9012000240
4James van RiemsdykJetsLW38915241020593910523538.57%2674919.7423510770001311040.32%622514000.6411000134
5Colton SissonsJetsC/RW39121123820375252112723.08%1956614.530113430000660155.32%470145100.8100000112
6Andreas AthanasiouJetsC/LW/RW3991322480613612133547.44%1862215.961121065000181150.00%12346000.7100000031
7Wayne SimmondsJetsLW/RW39813217200703172274411.11%1349612.7400026000002038.46%26165000.8501000024
8Filip ChytilJetsC/LW/RW394111540022429530794.21%1261315.74000322000070039.02%412510000.4900000001
9Janne KuokkanenJetsC/LW/RW3651015740334639153512.82%1549613.80000152000002050.00%301311000.6000000112
10Josh MansonJetsD3939121820050714116227.32%4680120.54000016000056000.00%0331000.3000000010
11Zach Aston-ReeseJetsC/LW/RW394610-56041447125425.63%1247912.30000060004711034.43%122167200.4200000100
12Erik GudbransonJetsD3619101455573564615122.17%3272320.09011219000156000.00%0425000.2801001000
13Josh MorrisseyJetsD38358018038565325215.66%6085522.51011492000140000.00%01526100.1900000000
14Brett PesceJetsD38178314046583917232.56%5483021.86101130000076000.00%0526000.1900000000
15Mark PysykJetsD39178-312034513613152.78%2866216.99101153000010000.00%0624000.2400000000
16William CarrierJetsLW39033-1010020146318290.00%33448.8400000000000057.14%7207000.1700000000
17Jonathan EricssonJetsD39022-70035442713150.00%3368617.61000053000151000.00%0118000.0600000000
18Troy BrouwerJetsRW39101-52153626293193.45%123589.20000010002230028.57%7410000.0600000000
19Mike SgarbossaJetsC6000000101020.00%0132.19000000000000100.00%300000.0000000000
20Nate ProsserJetsD2000000000000.00%0105.350000000001000.00%002000.0000000000
21Dakota MermisJetsD11000-1201168000.00%813212.050000500006000.00%017000.0000000000
Stats d'équipe Total ou en Moyenne712108182290612041080181412774317348.46%4401160216.301217296975500016593161151.13%2259289284420.5038001121919
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Mackenzie BlackwoodJets28131410.9162.8716292078928484201.00022810412
2Jonathan BernierJets134520.9232.677200032413207000.50041128300
Stats d'équipe Total ou en Moyenne41171930.9182.812350201101341691200.66763938712


Astuces sur les Filtres (Anglais seulement)
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
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Andreas AthanasiouJetsC/LW/RW261994-08-05No188 Lbs6 ft2NoNoNo1Pro & Farm3,000,000$3,000,000$1,600,000$NoLien
Brett PesceJetsD261994-11-15No200 Lbs6 ft3NoNoNo2Pro & Farm3,675,000$3,675,000$1,960,000$No3,675,000$Lien
Colton SissonsJetsC/RW271993-11-05No200 Lbs6 ft1NoNoNo4Pro & Farm2,857,143$2,857,143$1,523,810$No2,857,143$2,857,143$2,857,143$Lien
Dakota MermisJetsD271994-01-05No188 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$373,333$NoLien
Erik GudbransonJetsD291992-01-07No220 Lbs6 ft5NoNoNo1Pro & Farm4,000,000$4,000,000$2,133,333$NoLien
Filip ChytilJetsC/LW/RW211999-09-05No178 Lbs6 ft1NoNoNo1Pro & Farm894,166$894,166$476,889$NoLien
James van RiemsdykJetsLW311989-05-04No217 Lbs6 ft3NoNoNo3Pro & Farm7,000,000$7,000,000$3,733,333$No7,000,000$7,000,000$Lien
Janne KuokkanenJetsC/LW/RW221998-05-25No188 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$493,333$NoLien
Jonathan BernierJetsG321988-08-07No184 Lbs6 ft0YesNoNo1Pro & Farm3,000,000$3,000,000$1,600,000$NoLien
Jonathan EricssonJetsD361984-03-02No220 Lbs6 ft4YesNoNo1Pro & Farm3,400,000$3,400,000$1,813,333$NoLien
Josh MansonJetsD291991-10-07No213 Lbs6 ft3NoNoNo2Pro & Farm4,100,000$4,100,000$2,186,667$No4,100,000$Lien
Josh MorrisseyJetsD251995-03-28No195 Lbs6 ft0NoNoNo5Pro & Farm6,250,000$6,250,000$3,333,333$No6,250,000$6,250,000$6,250,000$6,250,000$Lien
Kyle TurrisJetsC/RW311989-08-14No190 Lbs6 ft1NoNoNo2Pro & Farm6,000,000$6,000,000$3,200,000$No6,000,000$Lien
Mackenzie BlackwoodJetsG241996-12-08No225 Lbs6 ft4NoNoNo3Pro & Farm913,333$913,333$487,111$No2,800,000$2,800,000$Lien
Mark PysykJetsD291992-01-11No200 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$400,000$NoLien
Mike SgarbossaJetsC281992-07-24No186 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$373,333$NoLien
Nate ProsserJetsD341986-05-06No206 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$373,333$NoLien
Nathan MacKinnonJetsC/RW251995-08-31No205 Lbs6 ft0NoNoNo1Pro & Farm6,300,000$6,300,000$3,360,000$NoLien
Troy BrouwerJetsRW351985-08-17No215 Lbs6 ft3YesNoNo1Pro & Farm900,000$900,000$480,000$NoLien
Victor OlofssonJetsLW/RW251995-07-18No172 Lbs5 ft11NoNoNo2Pro & Farm3,050,000$3,050,000$1,626,667$No3,050,000$Lien
Wayne SimmondsJetsLW/RW321988-08-25No185 Lbs6 ft2NoNoNo1Pro & Farm2,000,000$2,000,000$1,066,667$NoLien
William CarrierJetsLW261994-12-20Yes212 Lbs6 ft2NoNoNo4Pro & Farm1,400,000$1,400,000$746,667$No1,400,000$1,400,000$1,400,000$Lien
Zach Aston-ReeseJetsC/LW/RW261994-08-10No204 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$533,333$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2328.09200 Lbs6 ft21.782,761,506$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
63,514,642$37,132,143$20,307,143$10,507,143$6,250,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zach Aston-ReeseNathan MacKinnonFilip Chytil40122
2Andreas AthanasiouKyle TurrisVictor Olofsson27122
3Wayne SimmondsColton SissonsJanne Kuokkanen23221
4William CarrierMike SgarbossaTroy Brouwer10221
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Josh MorrisseyBrett Pesce34122
2Josh MansonErik Gudbranson34122
3Jonathan EricssonMark Pysyk30122
4Josh MorrisseyBrett Pesce2122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zach Aston-ReeseNathan MacKinnonVictor Olofsson60122
2Andreas AthanasiouKyle TurrisColton Sissons40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Josh MorrisseyJonathan Ericsson60122
2Janne KuokkanenMark Pysyk40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Colton SissonsZach Aston-Reese60122
2Kyle TurrisTroy Brouwer40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brett PesceErik Gudbranson60122
2Josh MansonJonathan Ericsson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Zach Aston-Reese60122Brett PesceErik Gudbranson60122
2Colton Sissons40122Josh MansonJonathan Ericsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nathan MacKinnonVictor Olofsson60122
2Zach Aston-ReeseTroy Brouwer40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonathan EricssonJosh Manson60122
2Josh MorrisseyMark Pysyk40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Janne KuokkanenNathan MacKinnonVictor OlofssonJosh MorrisseyJosh Manson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zach Aston-ReeseColton SissonsTroy BrouwerBrett PesceJosh Manson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Zach Aston-Reese, Filip Chytil, Janne KuokkanenZach Aston-Reese, Filip ChytilNathan MacKinnon
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jonathan Ericsson, Brett Pesce, Mark PysykErik GudbransonJosh Morrissey, Mark Pysyk
Tirs de Pénalité
Nathan MacKinnon, Victor Olofsson, Filip Chytil, Wayne Simmonds, Colton Sissons
Gardien
#1 : Jonathan Bernier, #2 : Mackenzie Blackwood
Lignes d'Attaque Perso. en Prol.
Troy Brouwer, Victor Olofsson, Kyle Turris, Wayne Simmonds, Colton Sissons, Nathan MacKinnon, Nathan MacKinnon, Zach Aston-Reese, Filip Chytil, Janne Kuokkanen, William Carrier
Lignes de Défense Perso. en Prol.
Brett Pesce, Josh Manson, Josh Morrissey, Mark Pysyk, Jonathan Ericsson


Astuces sur les Filtres (Anglais seulement)
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
LigueDomicileVisiteur
# VS Équipe 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%041683549.82%46988652.93%27052551.43%412342183517
2Blackhawks21000010752000000000002100001075241.0007111800222266222716475218425120.00%4250.00%041683549.82%46988652.93%27052551.43%422345183620
3Bruins3120000078-11010000023-12110000055020.3337111800151012246393701133765710110.00%3166.67%041683549.82%46988652.93%27052551.43%653964254926
4Canucks11000000211110000002110000000000021.00024600101041161015037100205120.00%000.00%041683549.82%46988652.93%27052551.43%2213208179
5Capitals10001000431000000000001000100043121.0004590011113361610132810295120.00%5260.00%041683549.82%46988652.93%27052551.43%20102110199
6Ducks21100000770110000004221010000035-220.500712190012406619272007214234800.00%10100.00%041683549.82%46988652.93%27052551.43%371844183819
7Golden Knights21100000541211000005410000000000020.5005914002210612522140651831403133.33%9277.78%041683549.82%46988652.93%27052551.43%412343193516
8Golden Seals321000001082110000004222110000066040.66710172700136097263932088321269400.00%6266.67%041683549.82%46988652.93%27052551.43%613465255327
9Islanders2020000026-4000000000002020000026-400.00023500110057212313060211030600.00%5260.00%041683549.82%46988652.93%27052551.43%412240183719
10Kraken3100010110100110000004222000010168-240.667101626001811892228358105418693133.33%4250.00%041683549.82%46988652.93%27052551.43%583270295627
11Maple Leafs1010000034-11010000034-10000000000000.000358001020331371302212426000.00%20100.00%041683549.82%46988652.93%27052551.43%2011209189
12Nordiques11000000844110000008440000000000021.0008142200215039121017029141515100.00%5180.00%041683549.82%46988652.93%27052551.43%2213198178
13Oilers422000001082110000002113120000087140.50010162600244013944395601504026941000.00%13284.62%041683549.82%46988652.93%27052551.43%885182356834
14Panthers2020000026-42020000026-40000000000000.0002460002006523251707226652100.00%3166.67%041683549.82%46988652.93%27052551.43%442740163417
15Penguins3120000079-23120000079-20000000000020.3337132000142010631373801033210608112.50%5260.00%041683549.82%46988652.93%27052551.43%674060255227
16Sabres1010000015-4000000000001010000015-400.0001230010003210101203716819300.00%4175.00%041683549.82%46988652.93%27052551.43%2011219178
17Senateurs1010000045-11010000045-10000000000000.00048120003103151790461682111100.00%4175.00%041683549.82%46988652.93%27052551.43%1810248168
18Sharks31200000810-22020000047-31100000043120.333812200016108727303001024022624250.00%11463.64%041683549.82%46988652.93%27052551.43%603568265023
19Stars21000100844110000006151000010023-130.750813210022406582730064206336116.67%30100.00%041683549.82%46988652.93%27052551.43%412346183517
Total39151901211109111-22091100000585441968012115157-6370.4741091822910021503641282395451430131341437206803871213.79%952672.63%041683549.82%46988652.93%27052551.43%818466844352691348
_Since Last GM Reset39151901211109111-22091100000585441968012115157-6370.4741091822910021503641282395451430131341437206803871213.79%952672.63%041683549.82%46988652.93%27052551.43%818466844352691348
_Vs Conference2912130021178762136700000353231666002114344-1290.500781282060014412239422913293171299432115358763914.29%712071.83%041683549.82%46988652.93%27052551.43%611349630262511259
_Vs Division188700201534949540000027225933002012627-1190.52853871400082718158315820022186122058438735514.29%421271.43%041683549.82%46988652.93%27052551.43%378217392161317158

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3937L21091822911282134143720680300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3915191211109111
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2091100005854
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
196812115157
Derniers 10 Matchs
WLOTWOTL SOWSOL
640000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
871213.79%952672.63%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
395451430132150364
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
41683549.82%46988652.93%27052551.43%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
818466844352691348


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
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
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2020-11-1012Penguins1Jets3WSommaire du Match
3 - 2020-11-1227Jets4Bruins3WSommaire du Match
4 - 2020-11-1341Jets1Islanders3LSommaire du Match
5 - 2020-11-1447Golden Seals2Jets4WSommaire du Match
7 - 2020-11-1665Jets2Stars3LXSommaire du Match
9 - 2020-11-1880Golden Knights1Jets3WSommaire du Match
12 - 2020-11-21104Penguins2Jets1LSommaire du Match
16 - 2020-11-25128Oilers1Jets2WSommaire du Match
17 - 2020-11-26138Jets2Oilers3LSommaire du Match
19 - 2020-11-28158Canucks1Jets2WSommaire du Match
21 - 2020-11-30178Jets5Blackhawks4WXXSommaire du Match
22 - 2020-12-01188Jets3Golden Seals5LSommaire du Match
23 - 2020-12-02200Sharks3Jets1LSommaire du Match
25 - 2020-12-04221Avalanche3Jets1LSommaire du Match
28 - 2020-12-07238Jets1Bruins2LSommaire du Match
29 - 2020-12-08248Jets4Sharks3WSommaire du Match
30 - 2020-12-09259Penguins6Jets3LSommaire du Match
32 - 2020-12-11284Golden Knights3Jets2LSommaire du Match
33 - 2020-12-12292Jets1Oilers3LSommaire du Match
36 - 2020-12-15313Jets5Oilers1WSommaire du Match
37 - 2020-12-16327Sharks4Jets3LSommaire du Match
39 - 2020-12-18347Maple Leafs4Jets3LSommaire du Match
40 - 2020-12-19353Jets4Capitals3WXSommaire du Match
42 - 2020-12-21373Jets1Islanders3LSommaire du Match
45 - 2020-12-24386Senateurs5Jets4LSommaire du Match
48 - 2020-12-27409Kraken2Jets4WSommaire du Match
49 - 2020-12-28425Jets3Kraken4LXSommaire du Match
51 - 2020-12-30441Bruins3Jets2LSommaire du Match
53 - 2021-01-01452Jets3Kraken4LXXSommaire du Match
55 - 2021-01-03472Ducks2Jets4WSommaire du Match
56 - 2021-01-04483Jets2Blackhawks1WSommaire du Match
57 - 2021-01-05499Stars1Jets6WSommaire du Match
59 - 2021-01-07516Jets3Avalanche1WSommaire du Match
60 - 2021-01-08533Panthers3Jets1LSommaire du Match
63 - 2021-01-11552Jets1Sabres5LSommaire du Match
64 - 2021-01-12559Jets3Golden Seals1WSommaire du Match
65 - 2021-01-13571Nordiques4Jets8WSommaire du Match
67 - 2021-01-15594Panthers3Jets1LSommaire du Match
69 - 2021-01-17611Jets3Ducks5LSommaire du Match
71 - 2021-01-19621Jets-Flames-
72 - 2021-01-20633Blackhawks-Jets-
74 - 2021-01-22647Jets-Predators-
75 - 2021-01-23661Jets-Maroons-
76 - 2021-01-24673Islanders-Jets-
78 - 2021-01-26694Jets-Stars-
80 - 2021-01-28705Red Wings-Jets-
82 - 2021-01-30724Kraken-Jets-
84 - 2021-02-01745Jets-Sharks-
86 - 2021-02-03755Oilers-Jets-
88 - 2021-02-05771Jets-Predators-
89 - 2021-02-06786Stars-Jets-
92 - 2021-02-09806Jets-Golden Knights-
93 - 2021-02-10818Maple Leafs-Jets-
96 - 2021-02-13842Lightning-Jets-
97 - 2021-02-14853Jets-Bruins-
100 - 2021-02-17871Jets-Red Wings-
101 - 2021-02-18879Canucks-Jets-
103 - 2021-02-20897Jets-Wild-
104 - 2021-02-21911Maroons-Jets-
107 - 2021-02-24933Jets-Red Wings-
108 - 2021-02-25942Rangers-Jets-
110 - 2021-02-27965Lightning-Jets-
111 - 2021-02-28979Jets-Canadiens-
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-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
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-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des Billets95604527210
Assistance114,00096,57127,56153,08814,318
Attendance PCT95.00%96.57%68.90%66.36%71.59%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
21 15277 - 84.87% 1,661,697$33,233,946$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
30,892,483$ 63,514,642$ 53,458,252$ 0$ 2,937,500$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
63,514,642$ 30,892,483$ 0$ 23 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
34,895,643$ 80 446,764$ 35,741,120$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées Compte Bancaire Actuel Compte Bancaire Projeté
36,594,620$ 65,606,718$ 65,705,627$
Cap Salarial de la Saison ÉstiméCap Salarial DisponibleCap Salarial MaximumAu dessus du Plafond Salarial Minimum
70,012,142$ 12,487,858$ 82,500,000$ 7,012,142$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
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:64
William Carrier (R)AGE:26PO:64OV:62
Rem Pitlick (R)AGE:23PO: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:64
Mike SgarbossaAGE:28PO:68OV:63
Troy TerryAGE:23PO:64OV:62
Frederick GaudreauAGE:27PO:65OV:61
Rem Pitlick (R)AGE:23PO: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:64
Troy TerryAGE:23PO:64OV:62
Brett RitchieAGE:27PO:63OV:61
Troy BrouwerAGE:35PO:62OV:61
Evan WeingerAGE:23PO:63OV:59
Reese Johnson (R)AGE:22PO:53OV:53

Défense #1Défense #2Gardien
Brett PesceAGE:26PO:65OV:71
Josh MansonAGE:29PO:64OV:71
Erik GudbransonAGE:29PO:63OV:71
Josh MorrisseyAGE:25PO:65OV:68
Mark PysykAGE:29PO:66OV:66
Dakota MermisAGE:27PO:63OV:65
Jonathan EricssonAGE:36PO:59OV:65
Jordan GrossAGE:25PO:60OV:59
Nate ProsserAGE:34PO:52OV:59
Chris BigrasAGE:25PO:55OV:58
Logan DayAGE:26PO:55OV:58
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:24PO:53OV:55

Éspoirs

Astuces sur les Filtres (Anglais seulement)
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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
ARTUR GAVRUSJets2012181
Alexis LafreniereJets20201
Bowen ByramJets20193
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

Choix au Repêchage

Année 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




La base de donnée des nouvelles n'a pas été trouvée. Veuillez en créer une du STHS.




[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.
[2020-10-02 08:23:22] - TRADE : From Jets to Red Wings : Y:2021-RND:7-WIN.
[2020-10-02 08:23:22] - TRADE : From Red Wings to Jets : Dakota Mermis (65), Y:2021-RND:3-DET.



[2021-02-19 08:25:42] Troy Terry from Milwaukee Admirals is back from Exhaustion.
[2021-02-19 08:25:41] Rem Pitlick from Milwaukee Admirals has scored a Hat Trick!
[2021-02-18 09:08:13] Brett Ritchie from Milwaukee Admirals is back from Exhaustion.
[2021-02-18 09:07:56] Brett Ritchie from Milwaukee Admirals is injured from Exhaustion.
[2021-02-18 09:07:56] Troy Terry from Milwaukee Admirals is injured from Exhaustion.
[2021-02-17 15:40:45] Successfully loaded Jets lines done with STHS Client - 3.2.5.5
[2021-02-16 13:48:30] Troy Terry from Milwaukee Admirals is back from Exhaustion.
[2021-02-16 13:48:30] James van Riemsdyk from Jets is back from Exhaustion.
[2021-02-16 13:47:55] 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.
[2021-02-16 13:47:55] Troy Terry from Milwaukee Admirals has scored a Hat Trick!
[2021-02-16 13:47:55] Troy Terry from Milwaukee Admirals is injured from Exhaustion.
[2021-02-16 13:47:55] James van Riemsdyk from Jets is injured from Exhaustion.
[2021-02-16 13:47:48] Auto Lines Function has been run for Jets.
[2021-02-16 13:47:48] Auto Roster Partial Function has been run for Jets.
[2021-02-15 20:02:58] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased.
[2021-02-12 15:54:42] Kyle Turris from Jets has scored a Hat Trick!
[2021-02-12 15:54:42] Victor Olofsson from Jets has scored a Hat Trick!
[2021-02-12 15:48:08] Auto Lines Function has been run for Jets.
[2021-02-12 15:48:08] Auto Roster Partial Function has been run for Jets.
[2021-02-11 16:34:42] Troy Brouwer from Jets is back from Strained Right Knee Injury.
[2021-02-11 16:34:42] 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.
[2021-02-11 16:34:41] Game 559 - Troy Brouwer from Jets is injured (Strained Right Knee) and is out for 5 days.
[2021-02-09 11:13:16] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased.
[2021-02-05 08:40:06] 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.
[2021-02-05 08:39:23] Successfully loaded Jets lines done with STHS Client - 3.2.5.5
[2021-02-04 09:05:25] 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.
[2021-02-04 08:59:39] Auto Lines Function has been run for Jets.
[2021-02-04 08:59:39] Auto Roster Partial Function has been run for Jets.
[2021-02-03 10:21:35] Milwaukee Admirals lines for next game are empty. Current rosters/lines are not erased.
[2021-02-02 14:28:06] Auto Lines Function has been run for Jets.
[2021-02-02 14:28:06] Auto Roster Partial Function has been run for Jets.
[2021-02-01 13:38:32] Kyle Turris from Jets is back from Exhaustion.



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
Année 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