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Jets

GP: 6 | W: 2 | L: 4
GF: 15 | GA: 19 | PP%: 17.39% | PK%: 83.33%
DG: | Morale : 99 | Moyenne d'Équipe : 69
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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
1Brayden SchennXXX100.00835175787784857780827568767573078730
2Zach Parise (A)XX100.00613884777184877654757976788580078720
3Travis ZajacX100.00693785727785937186727083698477079710
4Erik HaulaXXX100.00733879787381527680747863777568079700
5Wayne SimmondsX100.00836166737880927253717469737973079700
6Brock NelsonX100.00633881738683957180727473767471078700
7Casey CizikasX100.00844081667176866582646988667571076690
8Anthony BeauvillierX100.00723690766977947461667362716366079680
9Cal ClutterbuckX100.00924174677678866553666376618074078680
10Tyler EnnisXX100.00663592736275746952666861707871079660
11Ryan HartmanXX100.00805568697173956761666863656967078660
12Denis GurianovXX100.00643594657981726362646162576362040630
13Erik JohnsonX100.00824573679188936630746892567972079710
14Matt Niskanen (A)X100.00844578687888936630756784558274079700
15Brayden McNabbX100.00924274638985946230706192537569079690
16Travis HamonicX100.00694570678187826630716389527770079680
17Kris RussellX100.00784489636486856230735880548072079670
18Tony DeAngeloX100.00696169716885746930786164536764079660
Rayé
1Mikko Koivu (C)X100.00584078728783617186776884678691043710
2Brendan GaunceX100.00633789618476695963615860566966035620
MOYENNE D'ÉQUIPE100.0074437970778283685771687464767207369
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
1Henrik Lundqvist100.0091959373908991908991908791078750
2Mikko Koskinen100.0089959396888789888789887985079750
Rayé
MOYENNE D'ÉQUIPE100.009095938589889089889089838807975
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bill Peters76909483787371CAN523100,000$


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
1Zach PariseJetsLW/RW6156-120114205225.00%312520.87022323000000053.33%1500000.9600000010
2Travis HamonicJetsD6145100612951011.11%1313522.59112516000021000.00%000000.7400000001
3Anthony BeauvillierJetsLW6224100381351215.38%111018.44101518000070075.00%400000.7200000000
4Brock NelsonJetsC63141202121921115.79%112721.241016190000221043.52%10800000.6300000010
5Brayden McNabbJetsD612314021320250.00%712320.6100000000025000.00%000000.4900000100
6Brayden SchennJetsC/LW/RW6213-11201512225169.09%312721.25000520000051047.71%15300000.4700000101
7Erik HaulaJetsC/LW/RW6123-120510125108.33%012120.23011520000000040.00%500000.4900000000
8Travis ZajacJetsC6123-440326144137.14%111419.161234180002290061.75%18300000.5200000000
9Kris RussellJetsD6022-240662030.00%49015.100000000008000.00%000000.4400000000
10Matt NiskanenJetsD6022-24011132240.00%813923.2300000000023000.00%000000.2900000001
11Wayne SimmondsJetsRW6112180185193125.26%010217.01000418000000071.43%700000.3900000000
12Casey CizikasJetsC610112044102610.00%1569.39000000000140037.04%5400000.3500000000
13Erik JohnsonJetsD6011-214015773110.00%1315726.33011322000020000.00%000000.1300000000
14Tyler EnnisJetsLW/RW6011-400026140.00%06611.16000000000000100.00%100000.3000000000
15Tony DeAngeloJetsD6101-22011150220.00%39916.5700031600000000.00%000000.2000000001
16Cal ClutterbuckJetsRW6000140613110.00%0599.99000000000190033.33%300000.0000000000
17Denis GurianovJetsLW/RW6000100012000.00%0406.7800000000000050.00%200000.0000000000
18Ryan HartmanJetsLW/RW6000-4209312260.00%06611.1600000000000050.00%400000.0000000000
Stats d'équipe Total ou en Moyenne108152641-15660136140179451458.38%58186617.2847114319300021992051.21%53900000.4400000224
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
1Henrik LundqvistJets62310.8932.9838300191780000.000060000
Stats d'équipe Total ou en Moyenne62310.8932.9838300191780000.000060000


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
Anthony BeauvillierJetsLW211997-06-08No182 Lbs5 ft11NoNoNo1Pro & Farm1,106,667$1,106,667$45,170$NoLien / Lien NHL
Brayden McNabbJetsD271991-01-21No212 Lbs6 ft4NoNoNo4Pro & Farm2,500,000$2,500,000$102,041$No2,500,000$2,500,000$2,500,000$Lien / Lien NHL
Brayden SchennJetsC/LW/RW271991-08-22No200 Lbs6 ft1NoNoNo2Pro & Farm5,125,000$5,125,000$209,184$No5,125,000$Lien / Lien NHL
Brendan GaunceJetsC241994-03-25No217 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$30,612$NoLien / Lien NHL
Brock NelsonJetsC261991-10-15No212 Lbs6 ft3NoNoNo7Pro & Farm4,250,000$4,250,000$173,469$No6,000,000$6,000,000$6,000,000$6,000,000$6,000,000$6,000,000$Lien / Lien NHL
Cal ClutterbuckJetsRW301987-11-18No216 Lbs5 ft11NoNoNo4Pro & Farm3,500,000$3,500,000$142,857$No3,500,000$3,500,000$3,500,000$Lien / Lien NHL
Casey CizikasJetsC271991-02-27No195 Lbs5 ft11NoNoNo3Pro & Farm3,350,000$3,350,000$136,735$No3,350,000$3,350,000$Lien / Lien NHL
Denis GurianovJetsLW/RW211997-06-07No195 Lbs6 ft2NoNoNo2Pro & Farm1,644,166$1,644,166$67,109$No1,644,166$Lien / Lien NHL
Erik HaulaJetsC/LW/RW271991-03-23No193 Lbs6 ft0NoNoNo2Pro & Farm2,750,000$2,750,000$112,245$No2,750,000$Lien / Lien NHL
Erik JohnsonJetsD301988-03-21No225 Lbs6 ft4NoNoNo5Pro & Farm6,000,000$6,000,000$244,898$No6,000,000$6,000,000$6,000,000$6,000,000$Lien / Lien NHL
Henrik LundqvistJetsG361982-03-02No180 Lbs6 ft1NoNoNo3Pro & Farm8,500,000$8,500,000$346,939$No8,500,000$8,500,000$Lien / Lien NHL
Kris RussellJetsD311987-05-02No170 Lbs5 ft10NoNoNo3Pro & Farm4,000,000$4,000,000$163,265$No4,000,000$4,000,000$Lien / Lien NHL
Matt NiskanenJetsD311986-12-06No203 Lbs6 ft1NoNoNo2Pro & Farm5,750,000$5,750,000$234,694$No5,750,000$Lien / Lien NHL
Mikko KoivuJetsC351983-03-12No219 Lbs6 ft3NoNoNo2Pro & Farm5,500,000$5,500,000$224,490$No5,500,000$Lien / Lien NHL
Mikko KoskinenJetsG301988-07-18No202 Lbs6 ft7NoNoNo4Pro & Farm2,500,000$2,500,000$102,041$No4,500,000$4,500,000$4,500,000$Lien / Lien NHL
Ryan HartmanJetsLW/RW241994-09-20No181 Lbs6 ft0NoNoNo1Pro & Farm875,000$875,000$35,714$NoLien / Lien NHL
Tony DeAngeloJetsD221995-10-24No180 Lbs5 ft11NoNoNo1Pro & Farm1,263,333$1,263,333$51,565$NoLien / Lien NHL
Travis HamonicJetsD281990-08-16No205 Lbs6 ft2NoNoNo2Pro & Farm3,857,000$3,857,000$157,429$No3,857,000$Lien / Lien NHL
Travis ZajacJetsC331985-05-13No185 Lbs6 ft2NoNoNo3Pro & Farm5,750,000$5,750,000$234,694$No5,750,000$5,750,000$Lien / Lien NHL
Tyler EnnisJetsLW/RW291989-10-06No161 Lbs5 ft9NoNoNo1Pro & Farm650,000$650,000$26,531$NoLien / Lien NHL
Wayne SimmondsJetsRW301988-08-26No185 Lbs6 ft2NoNoNo1Pro & Farm3,975,000$3,975,000$162,245$NoLien / Lien NHL
Zach PariseJetsLW/RW341984-07-28No193 Lbs5 ft11NoNoNo7Pro & Farm7,538,000$7,538,000$307,673$No7,538,000$7,538,000$7,538,000$7,538,000$7,538,000$7,538,000$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2228.32196 Lbs6 ft12.773,687,917$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
81,134,166$76,264,166$51,638,000$30,038,000$19,538,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zach PariseBrayden SchennErik Haula35014
2Anthony BeauvillierBrock NelsonWayne Simmonds30014
3Ryan HartmanTravis ZajacTyler Ennis25122
4Denis GurianovCasey CizikasCal Clutterbuck10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik JohnsonMatt Niskanen30023
2Brayden McNabbTravis Hamonic30122
3Tony DeAngeloKris Russell20131
4Erik JohnsonMatt Niskanen20023
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brock NelsonBrayden SchennErik Haula60005
2Anthony BeauvillierTravis ZajacWayne Simmonds40005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach PariseErik Johnson70005
2Travis HamonicTony DeAngelo30005
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Travis ZajacBrock Nelson60041
2Casey CizikasCal Clutterbuck40041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brayden McNabbErik Johnson60050
2Travis HamonicMatt Niskanen40050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Travis Zajac60050Brayden McNabbErik Johnson60050
2Casey Cizikas40050Travis HamonicMatt Niskanen40050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brayden SchennZach Parise60023
2Brock NelsonErik Haula40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik JohnsonMatt Niskanen60122
2Brayden McNabbTravis Hamonic40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brock NelsonBrayden SchennErik HaulaTony DeAngeloMatt Niskanen
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Cal ClutterbuckTravis ZajacCasey CizikasBrayden McNabbErik Johnson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brayden Schenn, Erik Haula, Zach PariseBrayden Schenn, Zach PariseTravis Zajac
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Erik Johnson, Matt Niskanen, Brayden McNabbMatt NiskanenErik Johnson, Matt Niskanen
Tirs de Pénalité
Zach Parise, Erik Haula, Brayden Schenn, Brock Nelson, Wayne Simmonds
Gardien
#1 : Henrik Lundqvist, #2 : Mikko Koskinen
Lignes d'Attaque Perso. en Prol.
Brayden Schenn, Zach Parise, Erik Haula, Brock Nelson, Wayne Simmonds, Anthony Beauvillier, Anthony Beauvillier, Travis Zajac, Tyler Ennis, Ryan Hartman, Casey Cizikas
Lignes de Défense Perso. en Prol.
Erik Johnson, Matt Niskanen, Brayden McNabb, Travis Hamonic, Kris Russell


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
1Blackhawks624000001519-43120000058-3312000001011-140.3331526410052801794649804178586613623417.39%30583.33%011621952.97%10722148.42%539953.54%152104152457939
Total624000001519-43120000058-3312000001011-140.3331526410052801794649804178586613623417.39%30583.33%011621952.97%10722148.42%539953.54%152104152457939
_Since Last GM Reset624000001519-43120000058-3312000001011-140.3331526410052801794649804178586613623417.39%30583.33%011621952.97%10722148.42%539953.54%152104152457939
_Vs Conference624000001519-43120000058-3312000001011-140.3331526410052801794649804178586613623417.39%30583.33%011621952.97%10722148.42%539953.54%152104152457939
_Vs Division624000001519-43120000058-3312000001011-140.3331526410052801794649804178586613623417.39%30583.33%011621952.97%10722148.42%539953.54%152104152457939

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
64L1152641179178586613600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
62400001519
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
312000058
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
31200001011
Derniers 10 Matchs
WLOTWOTL SOWSOL
230100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
23417.39%30583.33%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
46498045280
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
11621952.97%10722148.42%539953.54%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
152104152457939


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
2 - 2020-04-068Jets3Blackhawks5LSommaire du Match
4 - 2020-04-0816Jets4Blackhawks2WSommaire du Match
6 - 2020-04-1024Blackhawks3Jets2LSommaire du Match
8 - 2020-04-1232Blackhawks1Jets3WSommaire du Match
10 - 2020-04-1440Jets3Blackhawks4LXSommaire du Match
12 - 2020-04-1648Blackhawks4Jets0LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603525200
Assistance18,00015,0006,00012,0003,000
Attendance PCT100.00%100.00%100.00%100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 18000 - 100.00% 647,700$1,943,100$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 81,134,166$ 84,884,166$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 2 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées Compte Bancaire Actuel Compte Bancaire Projeté
0$ 49,739,149$ 49,739,149$
Cap Salarial de la Saison ÉstiméCap Salarial DisponibleCap Salarial MaximumAu dessus du Plafond Salarial Minimum
0$ 79,500,000$ 79,500,000$ -58,800,000$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Brayden SchennAGE:27PO:0OV:73
Zach PariseAGE:34PO:0OV:72
Erik HaulaAGE:27PO:0OV:70
Anthony BeauvillierAGE:21PO:0OV:68
Tyler EnnisAGE:29PO:0OV:66
Ryan HartmanAGE:24PO:0OV:66
Denis GurianovAGE:21PO:0OV:63
Brayden SchennAGE:27PO:0OV:73
Mikko KoivuAGE:35PO:0OV:71
Travis ZajacAGE:33PO:0OV:71
Erik HaulaAGE:27PO:0OV:70
Brock NelsonAGE:26PO:0OV:70
Casey CizikasAGE:27PO:0OV:69
Brad MaloneAGE:29PO:0OV:62
Brendan GaunceAGE:24PO:0OV:62
Luke JohnsonAGE:24PO:0OV:62
Paul CareyAGE:30PO:0OV:61
Ross ColtonAGE:22PO:0OV:60
Ryan OlsenAGE:24PO:0OV:60
Nolan VeseyAGE:23PO:0OV:57
Brayden SchennAGE:27PO:0OV:73
Zach PariseAGE:34PO:0OV:72
Erik HaulaAGE:27PO:0OV:70
Wayne SimmondsAGE:30PO:0OV:70
Cal ClutterbuckAGE:30PO:0OV:68
Tyler EnnisAGE:29PO:0OV:66
Ryan HartmanAGE:24PO:0OV:66
Denis GurianovAGE:21PO:0OV:63
Hudson FaschingAGE:23PO:0OV:62
Mario KempeAGE:30PO:0OV:62
Carter BancksAGE:29PO:0OV:59

Défense #1Défense #2Gardien
Erik JohnsonAGE:30PO:0OV:71
Matt NiskanenAGE:31PO:0OV:70
Brayden McNabbAGE:27PO:0OV:69
Travis HamonicAGE:28PO:0OV:68
Kris RussellAGE:31PO:0OV:67
Tony DeAngeloAGE:22PO:0OV:66
Joe MorrowAGE:25PO:0OV:65
Andrej SekeraAGE:32PO:0OV:62
Chris SummersAGE:30PO:0OV:60
Reece WillcoxAGE:24PO:0OV:60
William BorgenAGE:21PO:0OV:60
Philip SamuelssonAGE:27PO:0OV:59
Jesse GrahamAGE:24PO:0OV:58
Joonas LyytinenAGE:23PO:0OV:57
Henrik LundqvistAGE:36PO:0OV:75
Mikko KoskinenAGE:30PO:0OV:75
Tom McCollumAGE:28PO:0OV:66
Adam WilcoxAGE:25PO:0OV:63

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
Alexander RuuttuJets
Alexei EmelinJets
Benoit PouliotJets
Brady GilmourJets7168
Brady VailJets
Brandon GentileJets
Brent MoranJets4148
Curtis GlencrossJets
Eric WellwoodJets
Erik ColeJets
Filip LarssonJets6142
J.P. TestwuideJets
Jack BadiniJets7128
James WrightJets
Jamie ArnielJets
Jared KnightJets
Jason KasdorfJets
Jeff TaffeJets
Jeff WoywitkaJets
Johan MotinJets
John MitchellJets
Kyle ChipchuraJets
Leland IrvingJets
Linden VeyJets
Mario FerraroJets773
Matt HalischukJets
Matt MacKenzieJets
Matthew CorrenteJets
Michal HandzusJets
Mike BrownJets
Noah CarrollJets6176
Pat CannoneJets
Paul RangerJets
Peter MuellerJets
Petter GranbergJets
Radek DvorakJets
Raphael DiazJets
Reece ScarlettJets
Rhett HollandJets2137
Robin NorellJets
Ryan O'Reilly 2000Jets8121
Ryan ParentJets
Ryan RussellJets
Scott HannanJets
Sena AcolatseJets
Sergey ZborovskiyJets
Tom WandellJets
Vladislav GavrikovJets5163
Zack StortiniJets

Choix au Repêchage

Année R1R2R3R4R5R6
9DET WIN
10NYR EDM NYR WIN CAR WIN CAR
11WIN WIN CAR
12WIN WIN WIN WIN WIN WIN
13WIN WIN WIN WIN WIN WIN



C'est mort ici depuis que je n'écris plus, donc...

Par Mathieu Turgeon Le Friday 14th February 2020 / 1:50am

 

Un des 2 bons espoirs des Destroyers fera ses débuts ce soir avec LA PLUS GROSSE ÉQUIPE DE L'HISTOIRE DE LA LIGUE face aux Coyotes Ugly. Il sagit du gardien de 20 ans Ukko-Pekka Luukkonen et il doit bien avoir le nom le plus débuzzant à écrire de l'histoire, lui qui a été rappelé de la ECHL parce que Jonas Brother Korpisalo s'est blessé au haut de la fatigue. Ce pourrait bien être comme le jetter dans la fosse aux lions avec leur fiche de 14-39-2, mais le jeune gardien pourra prouver ce qu'il peut faire avec une équipe de VRAIS hommes devant lui.

 

Dans la pire saison de l'histoire des Destroyers (du point de vu "points au classement" et non "poings au casse-dents"), les dirrigeants se tappent encore les doigts d'avoir échangé encore une fois leur premier choix au repêchage de l'été qui s'en vient. Ils se consolent en se disant que même s'ils ne feront pas les séries, ils termineront quand même l'année avec plus de Hits et de PIM que le deux équipes qui se rendront en finale. Et que leur moyenne de 6pi4 216 lbs constitue un autre record qui ne sera sans doute jamais dépassé par aucune autre équipe EVER, WORLWIDE. Et ce, malgré le fait d'avoir Patrick Eaves à 5pi11 203lbs dans l'alignement pour son salaire de 3M$. Le tout sans conter les innombrables lettres que j'ai reçu pour écrire un autre article.

Malgré les déboires de l'équipe le DG n'a pas fait de mouvements depuis des lustres, et malgré tout il garde la confiance absolue du propriétaire... lui-même.

 

Jahmal Ayeul, Sporn Illustrated

Voir commentaires (3)
Olivier Le 15th February / 1:55am :

Ohh

Ca faisait longtemps!

Le 16th February / 6:12pm :

Payant au scrabble cte gars la!

Martin Picard Le 1st March / 8:25pm :

15-3 

Nouveau Commentaire



[2020-04-19 9:11:44 PM] - Jets was eliminated at round 1 of year 8.
[2020-04-05 11:48:32 AM] - Moose didn't make playoff for year 8.
[2020-02-25 5:45:51 PM] - TRADE : From Islanders to Jets : Denis Gurianov (63).
[2020-02-25 5:45:51 PM] - TRADE : From Jets to Islanders : Y:11-RND:1-WIN.
[2020-01-22 6:50:26 PM] - New Record for Team's Most Points (24) in 1 Game for Jets!
[2020-01-22 6:50:26 PM] - New Record for Team's Most Assists (16) in 1 Game for Jets!
[2020-01-22 6:50:26 PM] - New Record for Team's Most Goals (8) in 1 Game for Jets!
[2020-01-19 10:21:11 PM] - TRADE : From Rangers to Jets : Brayden Schenn (73), Y:10-RND:3-NYR.
[2020-01-19 10:21:11 PM] - TRADE : From Jets to Rangers : Boone Jenner (70), Mathieu Joseph (67), Mark Borowiecki (65), Y:11-RND:2-WIN.
[2019-11-04 7:33:10 PM] - TRADE : From Jets to Ducks : Johan Larsson (65).
[2019-11-04 7:33:10 PM] - TRADE : From Ducks to Jets : Y:10-RND:4-EDM, Y:11-RND:6-CAR.
[2019-10-31 9:27:50 PM] - TRADE : From Jets to Ducks : Nick Bonino (68).
[2019-10-31 9:27:50 PM] - TRADE : From Ducks to Jets : Travis Zajac (71), Wayne Simmonds (70).
[2019-09-17 9:19:05 PM] - TRADE : From Red Wings to Jets : Y:9-RND:4-DET.
[2019-09-17 9:19:05 PM] - TRADE : From Jets to Red Wings : Adam McQuaid (65).
[2019-09-08 9:53:07 AM] - TRADE : From Sabres to Jets : Boone Jenner (70).
[2019-09-08 9:53:07 AM] - TRADE : From Jets to Sabres : Joonas Donskoi (67), Y:9-RND:6-WIN, Y:9-RND:6-SJS.
[2019-09-02 10:54:00 AM] - TRADE : From Rangers to Jets : Travis Hamonic (68), Nick Bonino (68), Y:10-RND:5-NYR.
[2019-09-02 10:54:00 AM] - TRADE : From Jets to Rangers : Ryan Strome (68), Glenn Gawdin (60), Igor Shvyrev (59), Y:10-RND:3-OTT.
[2019-07-28 4:19:54 PM] - TRADE : From Jets to Sharks : Cam Hillis (P).
[2019-07-28 4:04:26 PM] - Jets drafts Ryan O'Reilly 2000 as the #121 overall pick in the Entry Draft of year 8.
[2019-07-28 4:00:43 PM] - Jets drafts Cam Hillis as the #102 overall pick in the Entry Draft of year 8.
[2019-07-28 3:50:44 PM] - TRADE : From Jets to Bruins : Casey DeSmith (71).
[2019-07-28 3:50:44 PM] - TRADE : From Bruins to Jets : Mathieu Joseph (67), Y:8-RND:4-BOS.
[2019-07-28 3:48:04 PM] - TRADE : From Jets to Sharks : Stefan Noesen (65), Mike McKenna (69), Y:8-RND:6-SJS.
[2019-07-28 3:48:04 PM] - TRADE : From Sharks to Jets : Mikko Koskinen (75).
[2019-07-28 3:44:03 PM] - TRADE : From Jets to Sabres : Cedric Paquette (66).
[2019-07-28 3:44:03 PM] - TRADE : From Sabres to Jets : Cal Clutterbuck (68).
[2019-06-03 7:55:16 PM] - TRADE : From Penguins to Jets : Erik Johnson (71), Casey DeSmith (71), Y:10-RND:3-OTT.
[2019-06-03 7:55:16 PM] - TRADE : From Jets to Penguins : Y:8-RND:1-OTT, Y:10-RND:1-WIN, Y:8-RND:4-OTT, Y:8-RND:4-WSH.
[2019-06-02 8:36:17 PM] - TRADE : From Jets to Ducks : Y:10-RND:1-OTT.
[2019-06-02 8:36:17 PM] - TRADE : From Ducks to Jets : Y:8-RND:1-OTT, Y:8-RND:4-MIN, Y:8-RND:4-WSH.
[2019-06-02 8:33:07 PM] - Glenn Gawdin was added to Jets.



[2020-04-21 8:45:18 PM] Mikko Koivu from Jets is back from Torn Right Knee Ligaments Injury.
[2020-04-13 9:57:39 PM] Successfully loaded Jets lines done with Web Base Client and SQLite Database.
[2020-03-27 7:51:16 PM] Successfully loaded Jets lines done with Web Base Client and SQLite Database.
[2020-03-24 7:47:42 PM] Zach Parise from Jets is back from Sprained Right Finger Injury.
[2020-03-24 7:47:34 PM] Successfully loaded Jets lines done with Web Base Client and SQLite Database.
[2020-03-24 7:47:34 PM] Denis Gurianov of Jets was sent to pro.
[2020-03-22 10:23:02 PM] Carter Bancks from Moose has scored a Hat Trick!
[2020-03-22 10:23:02 PM] Game 1168 - Zach Parise from Jets is injured (Sprained Right Finger) and is out for 1 week.
[2020-03-22 10:23:02 PM] Game 1168 - Mikko Koivu from Jets is injured (Torn Right Knee Ligaments) and is out for 2 months.
[2020-03-22 10:22:54 PM] Successfully loaded Jets lines done with Web Base Client and SQLite Database.
[2020-03-17 7:51:54 PM] Last 7 Days Pro Star : 1 - Marc-Andre Fleury of Predators (0.990) / 2 - Zach Parise of Jets (5-0-5) / 3 - Mike Smith of Stars (0.944)
[2020-03-15 9:58:36 PM] Luke Johnson from Moose has scored a Hat Trick!
[2020-03-11 7:33:38 PM] Zach Parise from Jets has scored a Hat Trick!



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
Saison Régulière
2824329003612572193841221600120130109214121130024112711017862574527094596827310270795786186248223465379515483718021.56%3486182.47%31579305451.70%1409275751.11%666126252.77%2030140218846081049532
382501902371279191884125100213013892464125900241141994210027949377257103917614276889790993456204857079115513837619.84%2963887.16%41696312454.29%1391258653.79%721130555.25%2060144118626021047534
482283203496207220-134111190214499116-174117130135210810445620735155802755565222325739776757111230662246417632283013.16%1963681.63%11454279152.10%1390267451.98%604123948.75%1977137119615981068533
58239250872125622729412210053101351043141171503411121123-2782564567121478848414257182783687938246968060917012785820.86%2364979.24%01539288553.34%1465283151.75%650129550.19%1968137019396041054521
682294301711206242-3641132300500105128-2341162001211101114-1358206375581426766712253882583486323267979072919813155216.51%3006478.67%31512292351.73%1474301348.92%627119552.47%1968138419705871005502
782312804928219227-8412011015131101001041111703415109127-18622193946132679637114240577472285487261079364620072375021.10%2904983.10%21452279951.88%1560297752.40%633122051.89%1916132820456001039507
8824130033412252121341211301231117972041201702110108115-7100225393618587877639241875883480634224965986019153376118.10%3707081.08%11565294853.09%1485280053.04%642122852.28%2035140318726071054531
8824130033412252121341211301231117972041201702110108115-7100225393618587877639241875883480634224965986019153376118.10%3707081.08%11565294853.09%1485280053.04%642122852.28%2035140318726071054531
Total Saison Régulière65630223602439352018741750124328155115012201799518431083281471210121918119239071664018743307518126426545955669420150653566066761431188445426575414381248646818.83%240643781.84%15123622347252.67%116592243851.96%5185997252.00%159921110715407481783744195
Séries
240400000612-62020000025-32020000047-30691500312010940353401032535952015.00%15473.33%07915650.64%6513847.10%315655.36%1026985305127
3191180000049436116500000272618530000022175224983132012018101619209208178245001332253418889.09%831384.34%042476855.21%32760254.32%14727054.44%490336441144245125
5844000002220242200000111104220000011928223961101156023179816110280666916618422.22%31390.32%014225455.91%16432650.31%6112349.59%1931322056211154
7624000002022-23120000089-1312000001213-1420375710114501775472510219615516016425.00%22577.27%09521045.24%12124649.19%469250.00%13998146417335
8624000001519-43120000058-3312000001011-141526410052801794649804178586613623417.39%30583.33%011621952.97%10722148.42%539953.54%152104152457939
Total Séries43192400000112116-4231013000005359-62091100000595723811219430621503031113154284454043812803434508981652112.73%1813083.43%0856160753.27%784153351.14%33864052.81%10797411031325562283