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Jets

GP: 29 | W: 17 | L: 9 | OTL: 3 | P: 37
GF: 87 | GA: 81 | PP%: 16.22% | PK%: 77.97%
DG: | Morale : 53 | Moyenne d'Équipe : 69
Prochain matchs #456 vs Avalanche
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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
1Zach Parise (A)XX96.50583988777183867562767973758679058720
2Anders LeeX100.00805873749083897271737765767891058720
3Brock NelsonX100.00614282778684897586767875797774058720
4Travis ZajacX100.00683985677783886987726882668579058700
5Casey CizikasX100.00864875667177826584627390647771058690
6Ryan DzingelXXX97.50594882777283867658757261777565045690
7Anthony BeauvillierX100.00774290766982887156687263746566058680
8James NealX100.00764284708680826956677158748273058680
9Tyler EnnisXX100.00783782766273827254697157727969058680
10Cal ClutterbuckX100.00944876647675796358656182638273042670
11Denis GurianovXX100.00734587708378776954627359726567058670
12Wayne SimmondsX100.00845561657779886856676659658073058660
13Matt Niskanen (A)X100.00854579707888906930766883558474058710
14Erik JohnsonX100.00824983659187856330746290518073058690
15Tony DeAngeloX100.00655167746885827330837258616968048690
16Brayden McNabbX100.00904376628985886130695790517769058680
17Travis HamonicX100.00624879678188796530726490557868058680
18Vladislav GavrikovX100.00764284658683886330726274536966058670
Rayé
1Tyson JostX100.00653987697076856773686466696367042650
2Mario KempeX100.00683988637174736470626162647972038640
MOYENNE D'ÉQUIPE99.7074458070788184685570697266777205468
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
1Mikko Koskinen99.0092959396919092919092918086043760
2Brian Elliott100.0084929082838284838284838589058720
Rayé
MOYENNE D'ÉQUIPE99.508894928987868887868887838805174
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bill Peters75858680837765CAN552100,000$


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
1Erik JohnsonJetsD29917268295475562144214.52%4772424.972573694112296210.00%000000.7200100112
2Travis ZajacJetsC29101222860208370225514.29%754218.7231418760003991254.30%75500000.8101000021
3Zach PariseJetsLW/RW299132240075811536847.83%760720.9526829941012492252.08%4800000.7201000310
4Brock NelsonJetsC2981422910025739722588.25%762221.46246219510141003052.64%68200000.7101000120
5Matt NiskanenJetsD2931821334088533919277.69%4867423.252461456011085100.00%000000.6200000100
6Travis HamonicJetsD29118190601640317283.23%4455018.970552049011067100.00%000000.6900000101
7Tony DeAngeloJetsD29412161210018284072210.00%2957719.912132584000292000.00%000000.5500000002
8Anthony BeauvillierJetsLW2987153140452251163615.69%144015.190336460000161034.38%3200000.6800000103
9Tyler EnnisJetsLW/RW2987155140483446103217.39%041914.461127400000220113.64%2200000.7200000131
10Ryan DzingelJetsC/LW/RW2269154175133859134510.17%339618.0311214590000321037.18%7800000.7600000110
11Anders LeeJetsLW296410224010938659389.23%457719.9002218890001252044.90%36300000.3511000012
12Brayden McNabbJetsD29189-1340101313312233.03%3055119.031121640000055000.00%000000.3300000021
13Casey CizikasJetsC294262202733458328.89%32558.8210115450000421249.85%32900000.4700000001
14Cal ClutterbuckJetsRW13235-121536191181318.18%416812.98101213011060040.28%7200000.5900001010
15Denis GurianovJetsLW/RW29325-26010102971110.34%032211.11000119000001052.00%2500000.3100000102
16James NealJetsLW29134-2801713317143.23%12719.35000110000000050.00%1800000.3000000000
17Vladislav GavrikovJetsD2913471806225103310.00%2938113.160000000001100.00%000000.2100000010
18Tyson JostJetsC2412376016222610113.85%327711.5500000000020041.82%11000000.2200000000
19Wayne SimmondsJetsRW26202-2802441041120.00%01666.4000000000000044.44%900000.2400000000
20Mario KempeJetsRW2000100100000.00%0105.410000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne52287154241672671573067987023458510.00%267853816.361834522439173471479817849.74%254300000.5614101111516
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
1Mikko KoskinenJets2917930.9012.73164722757590010.5004290501
2Brian ElliottJets30000.9262.26106204540000.0000029000
Stats d'équipe Total ou en Moyenne3217930.9032.70175342798130010.50042929501


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
Anders LeeJetsLW291990-07-03No231 Lbs6 ft3NoNoNo7Pro & Farm7,000,000$7,000,000$4,692,308$No7,000,000$7,000,000$7,000,000$7,000,000$7,000,000$7,000,000$Lien / Lien NHL
Anthony BeauvillierJetsLW221997-06-08No182 Lbs5 ft11NoNoNo2Pro & Farm2,100,000$2,100,000$1,407,692$No2,100,000$Lien / Lien NHL
Brayden McNabbJetsD281991-01-21No213 Lbs6 ft4NoNoNo3Pro & Farm2,500,000$2,500,000$1,675,824$No2,500,000$2,500,000$Lien / Lien NHL
Brian ElliottJetsG341985-04-09No209 Lbs6 ft2NoNoNo1Pro & Farm2,000,000$2,000,000$1,340,659$NoLien / Lien NHL
Brock NelsonJetsC271991-10-15No212 Lbs6 ft3NoNoNo6Pro & Farm6,000,000$6,000,000$4,021,978$No6,000,000$6,000,000$6,000,000$6,000,000$6,000,000$Lien / Lien NHL
Cal ClutterbuckJetsRW311987-11-18No216 Lbs5 ft11NoNoNo3Pro & Farm3,500,000$3,500,000$2,346,154$No3,500,000$3,500,000$Lien / Lien NHL
Casey CizikasJetsC281991-02-27No195 Lbs5 ft11NoNoNo2Pro & Farm3,350,000$3,350,000$2,245,604$No3,350,000$Lien / Lien NHL
Denis GurianovJetsLW/RW221997-06-07No200 Lbs6 ft3NoNoNo1Pro & Farm1,644,166$1,644,166$1,102,133$NoLien / Lien NHL
Erik JohnsonJetsD311988-03-21No225 Lbs6 ft4NoNoNo4Pro & Farm6,000,000$6,000,000$4,021,978$No6,000,000$6,000,000$6,000,000$Lien / Lien NHL
James NealJetsLW321987-09-03No212 Lbs6 ft3NoNoNo4Pro & Farm5,750,000$5,750,000$3,854,396$No5,750,000$5,750,000$5,750,000$Lien / Lien NHL
Mario KempeJetsRW311988-09-19No185 Lbs6 ft0NoNoNo1Pro & Farm650,000$650,000$435,714$NoLien / Lien NHL
Matt NiskanenJetsD321986-12-06No203 Lbs6 ft1NoNoNo1Pro & Farm5,750,000$5,750,000$3,854,396$NoLien / Lien NHL
Mikko KoskinenJetsG311988-07-18No202 Lbs6 ft7NoNoNo3Pro & Farm4,500,000$4,500,000$3,016,484$No4,500,000$4,500,000$Lien / Lien NHL
Ryan DzingelJetsC/LW/RW271992-03-09No190 Lbs6 ft0NoNoNo2Pro & Farm3,375,000$3,375,000$2,262,363$No3,375,000$Lien / Lien NHL
Tony DeAngeloJetsD231995-10-24No180 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$620,055$NoLien / Lien NHL
Travis HamonicJetsD291990-08-16No205 Lbs6 ft2NoNoNo1Pro & Farm3,857,000$3,857,000$2,585,462$NoLien / Lien NHL
Travis ZajacJetsC341985-05-13No185 Lbs6 ft2NoNoNo2Pro & Farm5,750,000$5,750,000$3,854,396$No5,750,000$Lien / Lien NHL
Tyler EnnisJetsLW/RW301989-10-06No161 Lbs5 ft9NoNoNo1Pro & Farm800,000$800,000$536,264$NoLien / Lien NHL
Tyson JostJetsC211998-03-14No187 Lbs5 ft11NoNoNo1Pro & Farm1,673,333$1,673,333$1,121,685$NoLien / Lien NHL
Vladislav GavrikovJetsD231995-11-21No213 Lbs6 ft3NoNoNo1Pro & Farm1,350,000$1,350,000$904,945$NoLien
Wayne SimmondsJetsRW311988-08-26No185 Lbs6 ft2NoNoNo1Pro & Farm5,000,000$5,000,000$3,351,648$NoLien / Lien NHL
Zach PariseJetsLW/RW351984-07-28No195 Lbs5 ft11NoNoNo6Pro & Farm7,538,000$7,538,000$5,052,945$No7,538,000$7,538,000$7,538,000$7,538,000$7,538,000$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2228.68199 Lbs6 ft12.453,682,386$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
81,012,499$57,363,000$42,788,000$32,288,000$20,538,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anders LeeBrock NelsonZach Parise35014
2Tyler EnnisTravis ZajacRyan Dzingel30014
3Anthony BeauvillierCal ClutterbuckDenis Gurianov25122
4James NealCasey CizikasWayne Simmonds10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt NiskanenErik Johnson30023
2Tony DeAngeloBrayden McNabb30122
3Travis HamonicVladislav Gavrikov20131
4Matt NiskanenErik Johnson20023
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anders LeeBrock NelsonZach Parise60005
2Tyler EnnisTravis ZajacRyan Dzingel40005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt NiskanenErik Johnson60005
2Tony DeAngeloBrayden McNabb40005
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ryan DzingelZach Parise60041
2Travis ZajacTyler Ennis40041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt NiskanenErik Johnson60050
2Tony DeAngeloBrayden McNabb40050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tyler Ennis60050Matt NiskanenErik Johnson60050
2Travis Zajac40050Tony DeAngeloBrayden McNabb40050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Zach PariseRyan Dzingel60023
2Travis ZajacTyler Ennis40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt NiskanenErik Johnson60122
2Tony DeAngeloBrayden McNabb40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anders LeeBrock NelsonZach PariseMatt NiskanenErik Johnson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anders LeeBrock NelsonZach PariseMatt NiskanenErik Johnson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Dzingel, Casey Cizikas, Tyler EnnisRyan Dzingel, Casey CizikasRyan Dzingel
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brayden McNabb, Travis Hamonic, Vladislav GavrikovBrayden McNabbBrayden McNabb, Travis Hamonic
Tirs de Pénalité
Zach Parise, Tyler Ennis, Casey Cizikas, Travis Zajac, Ryan Dzingel
Gardien
#1 : Mikko Koskinen, #2 : Brian Elliott
Lignes d'Attaque Perso. en Prol.
Zach Parise, Anders Lee, Brock Nelson, Travis Zajac, Ryan Dzingel, Casey Cizikas, Casey Cizikas, Tyler Ennis, Anthony Beauvillier, James Neal, Denis Gurianov
Lignes de Défense Perso. en Prol.
Matt Niskanen, Erik Johnson, Tony DeAngelo, Brayden McNabb, Travis Hamonic


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
1Avalanche1010000016-5000000000001010000016-500.0001230010003311111103610820400.00%4175.00%0536108049.63%502101349.56%22743152.67%2214238147
2Blackhawks1010000013-21010000013-20000000000000.0001230010003319680266829200.00%40100.00%0536108049.63%502101349.56%22743152.67%2215257125
3Blue Jackets10001000321100010003210000000000021.000369000111258124132812243133.33%6183.33%0536108049.63%502101349.56%22743152.67%2214258136
4Blues21100000550110000003121010000024-220.500591400221056242390481716616116.67%8187.50%0536108049.63%502101349.56%22743152.67%483247132412
5Bruins10001000321100010003210000000000021.0003690010113413101012511932400.00%2150.00%0536108049.63%502101349.56%22743152.67%2416238146
6Canucks1000010034-1000000000001000010034-110.50036900120040181111027110285120.00%5260.00%0536108049.63%502101349.56%22743152.67%2618207137
7Capitals11000000202110000002020000000000021.00023501101022661003111439100.00%20100.00%0536108049.63%502101349.56%22743152.67%2013287115
8Coyotes11000000523000000000001100000052321.0005712003200311113701394293266.67%20100.00%0536108049.63%502101349.56%22743152.67%2214237136
9Ducks1010000003-31010000003-30000000000000.000000000000229103025101632300.00%7185.71%0536108049.63%502101349.56%22743152.67%2112257126
10Flames21100000550000000000002110000055020.50057120031105519181805511294813215.38%8187.50%0536108049.63%502101349.56%22743152.67%473147162512
11Flyers1000010045-1000000000001000010045-110.5004812003100411812101271012247228.57%5180.00%0536108049.63%502101349.56%22743152.67%2618227126
12Hurricanes10001000321000000000001000100032121.000358000111254993224824400.00%40100.00%0536108049.63%502101349.56%22743152.67%2215268125
13Kings11000000633000000000001100000063321.0006121800501024125703211828100.00%3166.67%0536108049.63%502101349.56%22743152.67%2316246126
14Lightning1010000026-41010000026-40000000000000.000246000110421013190331212237114.29%5260.00%0536108049.63%502101349.56%22743152.67%2618216116
15Maple Leafs1010000023-1000000000001010000023-100.0002460020004410181602894166116.67%2150.00%0536108049.63%502101349.56%22743152.67%2618217126
16Oilers11000000532110000005320000000000021.0005813002120321210100249223300.00%110.00%0536108049.63%502101349.56%22743152.67%2820196116
17Predators21000001862000000000002100000186230.750814220041316417202567331194211327.27%7271.43%1536108049.63%502101349.56%22743152.67%493450152412
18Sabres3210000010731010000034-12200000073440.66710172700271073262918077222872800.00%13469.23%1536108049.63%502101349.56%22743152.67%664374233819
19Senateurs22000000734110000003031100000043141.0007142101142069183219057292253700.00%11190.91%0536108049.63%502101349.56%22743152.67%483245152513
20Sharks2110000067-12110000067-10000000000020.50061218103210521325140552320415480.00%9366.67%0536108049.63%502101349.56%22743152.67%452946152813
21Stars11000000321110000003210000000000021.00034700111023381203261216600.00%6266.67%1536108049.63%502101349.56%22743152.67%2214248136
Total2913904201878161465030003735215740120150464370.63887154241123727195870290310260148142672717301111816.22%1182677.97%3536108049.63%502101349.56%22743152.67%687461696221374186
23Wild10001000321100010003210000000000021.0003470010113099102367826200.00%40100.00%0536108049.63%502101349.56%22743152.67%2315278146
_Since Last GM Reset2913904201878161465030003735215740120150464370.63887154241123727195870290310260148142672717301111816.22%1182677.97%3536108049.63%502101349.56%22743152.67%687461696221374186
_Vs Conference1786011015151084301000212109430010130300200.58851871381027121124951771691458482151160423641320.31%681577.94%2536108049.63%502101349.56%22743152.67%403269405129221110
_Vs Division833010012124-3421010001082412000011116-590.56321355600104622398377758251777119431412.90%33681.82%2536108049.63%502101349.56%22743152.67%1881251976210351

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2937W18715424187081426727173012
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2913942018781
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
146530003735
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
157412015046
Derniers 10 Matchs
WLOTWOTL SOWSOL
423100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1111816.22%1182677.97%3
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
290310260143727195
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
536108049.63%502101349.56%22743152.67%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
687461696221374186


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 - 2020-10-056Sharks4Jets5WSommaire du Match
2 - 2020-10-069Jets3Sabres1WSommaire du Match
6 - 2020-10-1038Jets4Sabres2WSommaire du Match
7 - 2020-10-1148Jets6Predators3WSommaire du Match
9 - 2020-10-1362Stars2Jets3WSommaire du Match
12 - 2020-10-1679Jets3Canucks4LXSommaire du Match
13 - 2020-10-1792Oilers3Jets5WSommaire du Match
15 - 2020-10-19111Blackhawks3Jets1LSommaire du Match
18 - 2020-10-22129Jets2Flames4LSommaire du Match
20 - 2020-10-24143Sharks3Jets1LSommaire du Match
23 - 2020-10-27162Jets2Predators3LXXSommaire du Match
24 - 2020-10-28173Ducks3Jets0LSommaire du Match
27 - 2020-10-31195Wild2Jets3WXSommaire du Match
28 - 2020-11-01200Jets1Avalanche6LSommaire du Match
32 - 2020-11-05228Capitals0Jets2WSommaire du Match
33 - 2020-11-06239Jets2Blues4LSommaire du Match
36 - 2020-11-09258Blues1Jets3WSommaire du Match
38 - 2020-11-11272Jets4Senateurs3WSommaire du Match
40 - 2020-11-13289Sabres4Jets3LSommaire du Match
42 - 2020-11-15300Jets2Maple Leafs3LSommaire du Match
44 - 2020-11-17314Jets3Flames1WSommaire du Match
46 - 2020-11-19330Lightning6Jets2LSommaire du Match
48 - 2020-11-21349Jets4Flyers5LXSommaire du Match
49 - 2020-11-22357Jets5Coyotes2WSommaire du Match
51 - 2020-11-24369Blue Jackets2Jets3WXSommaire du Match
54 - 2020-11-27390Bruins2Jets3WXSommaire du Match
57 - 2020-11-30414Senateurs0Jets3WSommaire du Match
58 - 2020-12-01429Jets3Hurricanes2WXSommaire du Match
60 - 2020-12-03444Jets6Kings3WSommaire du Match
62 - 2020-12-05456Avalanche-Jets-
66 - 2020-12-09478Canucks-Jets-
69 - 2020-12-12500Maple Leafs-Jets-
71 - 2020-12-14516Jets-Wild-
72 - 2020-12-15529Islanders-Jets-
75 - 2020-12-18546Jets-Stars-
78 - 2020-12-21566Penguins-Jets-
80 - 2020-12-23581Jets-Sabres-
82 - 2020-12-25591Jets-Oilers-
83 - 2020-12-26603Canadiens-Jets-
86 - 2020-12-29626Wild-Jets-
88 - 2020-12-31637Jets-Ducks-
90 - 2021-01-02653Jets-Capitals-
91 - 2021-01-03666Red Wings-Jets-
94 - 2021-01-06685Jets-Panthers-
96 - 2021-01-08696Rangers-Jets-
98 - 2021-01-10708Jets-Rangers-
100 - 2021-01-12727Hurricanes-Jets-
102 - 2021-01-14741Jets-Penguins-
104 - 2021-01-16756Golden Knights-Jets-
106 - 2021-01-18772Jets-Sabres-
108 - 2021-01-20781Jets-Avalanche-
110 - 2021-01-22792Oilers-Jets-
111 - 2021-01-23807Jets-Predators-
114 - 2021-01-26823Predators-Jets-
117 - 2021-01-29845Jets-Devils-
119 - 2021-01-31856Jets-Sharks-
120 - 2021-02-01862Blackhawks-Jets-
123 - 2021-02-04884Capitals-Jets-
126 - 2021-02-07905Jets-Coyotes-
128 - 2021-02-09916Avalanche-Jets-
130 - 2021-02-11931Jets-Red Wings-
132 - 2021-02-13947Devils-Jets-
134 - 2021-02-15959Jets-Canadiens-
136 - 2021-02-17977Jets-Blue Jackets-
138 - 2021-02-19985Ducks-Jets-
140 - 2021-02-211004Jets-Lightning-
141 - 2021-02-221015Panthers-Jets-
143 - 2021-02-241032Jets-Blackhawks-
145 - 2021-02-261041Jets-Islanders-
147 - 2021-02-281052Flyers-Jets-
150 - 2021-03-031078Flames-Jets-
152 - 2021-03-051096Jets-Bruins-
154 - 2021-03-071106Sharks-Jets-
157 - 2021-03-101130Jets-Blues-
158 - 2021-03-111142Kings-Jets-
161 - 2021-03-141163Kings-Jets-
164 - 2021-03-171180Jets-Canucks-
165 - 2021-03-181181Jets-Golden Knights-
168 - 2021-03-211203Coyotes-Jets-
174 - 2021-03-271232Stars-Jets-
175 - 2021-03-281241Jets-Golden Knights-
179 - 2021-04-011260Stars-Jets-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603525200
Assistance78,95466,89525,37853,61413,418
Attendance PCT93.99%95.56%90.64%95.74%95.84%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
27 17019 - 94.55% 612,775$8,578,852$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
26,258,795$ 81,012,499$ 57,812,499$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
81,012,499$ 26,225,830$ 0$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
16,544,929$ 122 445,673$ 54,372,106$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées Compte Bancaire Actuel Compte Bancaire Projeté
55,461,444$ 31,495,917$ -7,420,598$
Cap Salarial de la Saison ÉstiméCap Salarial DisponibleCap Salarial MaximumAu dessus du Plafond Salarial Minimum
81,012,499$ 487,501$ 81,500,000$ 20,812,499$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Zach PariseAGE:35PO:0OV:72
Anders LeeAGE:29PO:0OV:72
Ryan DzingelAGE:27PO:0OV:69
Anthony BeauvillierAGE:22PO:0OV:68
James NealAGE:32PO:0OV:68
Tyler EnnisAGE:30PO:0OV:68
Denis GurianovAGE:22PO:0OV:67
Nick MoutreyAGE:24PO:0OV:60
Brock NelsonAGE:27PO:0OV:72
Travis ZajacAGE:34PO:0OV:70
Casey CizikasAGE:28PO:0OV:69
Ryan DzingelAGE:27PO:0OV:69
Tyson JostAGE:21PO:0OV:65
Paul CareyAGE:31PO:0OV:64
Brad MaloneAGE:30PO:0OV:63
Austin CzarnikAGE:26PO:0OV:63
Brendan GaunceAGE:25PO:0OV:63
Luke JohnsonAGE:25PO:0OV:62
Ross ColtonAGE:23PO:0OV:61
Ryan OlsenAGE:25PO:0OV:60
Zach PariseAGE:35PO:0OV:72
Ryan DzingelAGE:27PO:0OV:69
Tyler EnnisAGE:30PO:0OV:68
Cal ClutterbuckAGE:31PO:0OV:67
Denis GurianovAGE:22PO:0OV:67
Wayne SimmondsAGE:31PO:0OV:66
Mario KempeAGE:31PO:0OV:64
Hudson FaschingAGE:24PO:0OV:62
JC LiponAGE:26PO:0OV:60
Carter BancksAGE:30PO:0OV:59
Samuel KurkerAGE:25PO:0OV:59

Défense #1Défense #2Gardien
Matt NiskanenAGE:32PO:0OV:71
Erik JohnsonAGE:31PO:0OV:69
Tony DeAngeloAGE:23PO:0OV:69
Brayden McNabbAGE:28PO:0OV:68
Travis HamonicAGE:29PO:0OV:68
Vladislav GavrikovAGE:23PO:0OV:67
Mario FerraroAGE:21PO:0OV:64
Joe MorrowAGE:26PO:0OV:63
Reece WillcoxAGE:25PO:0OV:61
William BorgenAGE:22PO:0OV:61
Reece ScarlettAGE:26PO:0OV:59
Mikko KoskinenAGE:31PO:0OV:76
Brian ElliottAGE:34PO:0OV:72
Garret SparksAGE:26PO:0OV:66
Tom McCollumAGE:29PO:0OV:62
Adam WilcoxAGE:26PO:0OV:60
Filip LarssonAGE:21PO:0OV:57

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
Chris SummersJetsLien
Curtis GlencrossJets
Eric WellwoodJets
Erik ColeJets
J.P. TestwuideJets
Jack BadiniJets7128
James WrightJets
Jamie ArnielJets
Jared KnightJets
Jason KasdorfJets
Jeff TaffeJets
Jeff WoywitkaJets
Jesse GrahamJetsLien
Johan MotinJets
John MitchellJets
Joonas LyytinenJetsLien
Kyle ChipchuraJets
Leland IrvingJets
Linden VeyJets
Matt HalischukJets
Matt MacKenzieJets
Matthew CorrenteJets
Matthew StienburgJets9145
Michal HandzusJets
Mike BrownJets
Noah CarrollJets6176
Nolan VeseyJetsLien
Pat CannoneJets
Paul RangerJets
Peter MuellerJets
Petter GranbergJets
Philip SamuelssonJetsLien
Pyotr KochetkovJets936
Radek DvorakJets
Raphael DiazJets
Rhett HollandJets2137
Robin NorellJets
Ryan O'Reilly 2000Jets8121
Ryan ParentJets
Ryan RussellJets
Scott HannanJets
Sena AcolatseJets
Sergey ZborovskiyJets
Simon LundmarkJets9113
Tom WandellJets
Zack StortiniJets

Choix au Repêchage

Année R1R2R3R4R5R6
10NYR EDM MIN CAR CAR
11WIN WIN CAR
12WIN WIN WIN WIN WIN WIN
13WIN WIN WIN WIN WIN WIN
14WIN WIN WIN WIN WIN WIN



Début de saison surprenant des Destroyers

Par Mathieu Turgeon Le Tuesday 27th October 2020 / 5:11pm

 

Les Destroyers présentent une fiche de 4-3-3, donc 11 points, à leurs 10 premiers affrontements. C'est une surprise pour plusieurs, dont les principaux intéressés qui se demandent bien pourquoi. Si la tendance se maintient, ça devrait rester pareille. Malgré tout, l'organisation de New York garde les 6 pieds 6 sur terre en se rappelant qu'ils connaissent toujours de forts débuts de saison avant de s'effondrer au bas du classement.

 

Si l'équipe démontre de belles choses, c'est en partie grâce au brio des Myers, Perry, Lowry et Oleksiak qui connaissent un bon début de saison. Tyler Myers a cumulé 11 points depuis le début de la campagne et est surement la plus belle acquisition de l'équipe dernièrement. Devant le filet, Lundqvist peine à démontrer des statisques dignes de son nom pendant que Hogberg a brillé lors de son seul départ en arrêtant 22 des 23 rondelles dirrigées vers lui.

 

Inutile de dire que les Destroyers sont au sommet du classement dans les Hits (292) et PIM (216). Ce qui est surprenant, c'est que le Power Play de l'équipe reste dans le top 10 de la ligue depuis le début. Remercions "The Twin Towers" Tyler Myers et Jamie Oleksiak pour leur beau travail comme quarts-arrières de l'équipe. L'équipe a déjà blessé 3 joueurs adverses, et il y a eu 7 combats dont une générale lors de la victoire contre leur homolog...heu...homo de Boston.

 

Jahmal Ayeul, Sporn Illustrated

Voir commentaires (2)
Le 30th October / 1:15pm :

the twin towers hahaha en effet 2 énormes gaillard à la ligne bleue en en Myers et Oleksiak!!!! bonne continuité Islanders tant que tu blesse pas mes boys dans nos 2 affrontements de la saison.......

Renaud Meunier Le 2nd November / 9:36pm :

Bien content que les 2 équipes de la grosse pomme soit en plein controle et heureux de leur situation.

 

Nouveau Commentaire

Bonne saison à covid (tousse)

Par Mathieu Turgeon Le Monday 5th October 2020 / 1:28am

En ces circoncistances particulières, une nouvelle saison commence pour la LHGBTQx2.

 

La ligue a créé une bulle pour isoler les joueurs pour mieux les protéger... Contre les Islanders qui veulent les tuer. On voulait d'abbord créer la bulle au domicile des Destroyers, mais la patinoire était dure à entretenir en Enfer. Des mesures de préventions ont été prises en prévention de prévenir l'éventuelle possibilité hypothétique qui pourrait arriver presque 1% du temps peut-être. Tous les joueurs y s'ont passé, et à la grande surprise de tout le monde les joueurs de Boston ont voulu avoir le q-tip dans le cul à la place du nez. D'ailleurs, les joueurs devront porter une visière par-dessus leur visière et les gardiens devront porter un masque sous leur masque. Ils n'auront jamais le droit d'avoir chaud, ceci augmenterait les risques de contamination (c'est pour ça que y'a pas bcp de Russes qui l'ont). Les contacts ne seront pas interdis, mais vu le risque de contagion vous devrez absolument tuer votre adversaire. Autre changement au règlements, les joueurs n'auront plus le droit de cracher par terre ou de prendre leur douche en terminant.

 

Sur ces quelques lignes de coke, tout le monde à New York vous souhaite une excellent saison et plein de batailles générales contre nous !!

 

Jahmal Ayeul, Sporn Illustrated

Voir commentaires (2)
Olivier Le 5th October / 1:46am :

Woop woop

Enfin de retour avec un article :)

Le 5th October / 2:19am :

wow quel belle plume le retour des articles plein de bon sens enfinnnnnn :D

Nouveau Commentaire



[2020-11-05 9:22:05 PM] - New Record for Team's Most Hits (39) in 1 Game for Jets!
[2020-07-12 2:54:41 PM] - Jets drafts Matthew Stienburg as the #145 overall pick in the Entry Draft of year 9.
[2020-07-12 2:46:13 PM] - Jets drafts Simon Lundmark as the #113 overall pick in the Entry Draft of year 9.
[2020-07-12 2:21:14 PM] - TRADE : From Wild to Jets : Austin Czarnik (63), JC Lipon (60), Nick Moutrey (60), Samuel Kurker (59).
[2020-07-12 2:21:14 PM] - TRADE : From Jets to Wild : Y:10-RND:5-WIN, Y:10-RND:6-WIN.
[2020-07-12 2:20:24 PM] - TRADE : From Jets to Rangers : Erik Haula (66), Andrej Sekera (65), Y:10-RND:5-NYR.
[2020-07-12 2:20:24 PM] - TRADE : From Rangers to Jets : Tyson Jost (65), Brian Elliott (72).
[2020-07-12 2:16:38 PM] - TRADE : From Jets to Wild : Y:9-RND:4-DET.
[2020-07-12 2:16:38 PM] - TRADE : From Wild to Jets : Y:9-RND:4-MIN, Y:10-RND:5-MIN.
[2020-06-08 2:19:31 PM] - Jets drafts Pyotr Kochetkov as the #36 overall pick in the Entry Draft of year 9.
[2020-06-08 2:17:10 PM] - TRADE : From Golden Knights to Jets : James Neal (68).
[2020-06-08 2:17:10 PM] - TRADE : From Jets to Golden Knights : Mikko Koivu (69).
[2020-06-08 2:15:06 PM] - TRADE : From Stars to Jets : Y:9-RND:2-DAL.
[2020-06-08 2:15:06 PM] - TRADE : From Jets to Stars : Ryan Hartman (65), Kris Russell (66).
[2020-06-04 6:43:39 PM] - TRADE : From Stars to Jets : Garret Sparks (66).
[2020-06-04 6:43:39 PM] - TRADE : From Jets to Stars : Henrik Lundqvist (73), Y:9-RND:3-WSH.
[2020-06-01 6:44:09 PM] - TRADE : From Jets to Ducks : Brayden Schenn (72).
[2020-06-01 6:44:09 PM] - TRADE : From Ducks to Jets : Anders Lee (72), Ryan Dzingel (69), Y:9-RND:3-WSH.
[2020-05-30 7:52:43 PM] - Filip Larsson was added to Jets.
[2020-05-30 7:52:43 PM] - Reece Scarlett was added to Jets.
[2020-05-30 7:52:43 PM] - Mario Ferraro was added to Jets.
[2020-05-30 7:52:43 PM] - Vladislav Gavrikov was added to Jets.
[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.



[2020-11-27 9:37:21 PM] Successfully loaded Jets lines done with STHS Client - 3.2.0.5
[2020-11-24 8:43:44 PM] Auto Lines Partial Function has been run for Jets.
[2020-11-24 8:43:44 PM] Auto Roster Partial Function has been run for Jets.
[2020-11-23 8:37:26 PM] Brock Nelson from Jets is back from Exhaustion.
[2020-11-23 8:37:26 PM] Anders Lee from Jets is back from Exhaustion.
[2020-11-22 8:49:01 PM] Brock Nelson from Jets is injured from Exhaustion.
[2020-11-22 8:49:01 PM] Anders Lee from Jets is injured from Exhaustion.
[2020-11-07 8:43:55 PM] Cal Clutterbuck from Jets is back from Left Ankle Injury.
[2020-11-07 8:43:49 PM] Successfully loaded Jets lines done with Web Base Client and SQLite Database.
[2020-11-05 9:22:05 PM] New Record for Team's Most Hits (39) in 1 Game for Jets!
[2020-11-05 9:22:05 PM] Ryan Dzingel from Jets completes suspension
[2020-11-05 9:21:56 PM] Auto Lines Partial Function has been run for Jets.
[2020-11-05 9:21:56 PM] Auto Roster Partial Function has been run for Jets.
[2020-11-05 9:21:56 PM] Mario Kempe of Jets was sent to pro.
[2020-11-01 7:49:35 PM] Tony DeAngelo from Jets is back from Bruised Left Arm Injury.
[2020-11-01 7:49:33 PM] Game 200 - Cal Clutterbuck from Jets is injured (Left Ankle) and is out for 1 week.
[2020-11-01 7:49:33 PM] Game 200 - Tony DeAngelo from Jets is injured (Bruised Left Arm) and is out for 3 days.
[2020-10-31 7:07:08 PM] Luke Johnson from Moose has scored a Hat Trick!
[2020-10-30 8:48:48 PM] Successfully loaded Jets lines done with Web Base Client and SQLite Database.
[2020-10-29 9:21:10 PM] Successfully loaded Jets lines done with Web Base Client and SQLite Database.



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
929139042018781614650300037352157401201504643787154241123727195870290310260148142672717301111816.22%1182677.97%3536108049.63%502101349.56%22743152.67%687461696221374186
Total Saison Régulière68531524502841352119611831130342161120015201799888781103431541250132118129739532067719613461542227446916225859921020682569167021445196585693602515111259748618.71%252446381.66%18128982455252.53%121612345151.86%54121040352.02%166801156916104503887484381
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