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Jets
GP: 69 | W: 38 | L: 24 | OTL: 7 | P: 83
GF: 204 | GA: 190 | PP%: 18.50% | PK%: 82.31%
DG: Hugo Guerra | Morale : 59 | Moyenne d'Équipe : 69
Prochain matchs #1052 vs Flyers
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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)XX98.50583988777183867562767973758679074720
2Anders LeeX98.50805873749083897271737765767891070720
3Brock NelsonX100.00614282778684897586767875797774073720
4Travis ZajacX99.00683985677783886987726882668579065700
5Casey CizikasX100.00864875667177826584627390647771075690
6Ryan DzingelXXX95.50594882777283867658757261777565060690
7James NealX100.00764284708680826956677158748273075680
8Tyler EnnisXX99.00783782766273827254697157727969075680
9Cal ClutterbuckX100.00944876647675796358656182638273055670
10Denis GurianovXX100.00734587708378776954627359726567075670
11Wayne SimmondsX100.00845561657779886856676659658073075660
12Tyson JostX100.00653987697076856773686466696367022650
13Matt Niskanen (A)X99.00854579707888906930766883558474075710
14Erik JohnsonX99.00824983659187856330746290518073075690
15Brayden McNabbX100.00904376628985886130695790517769075680
16Travis HamonicX100.00624879678188796530726490557868073680
17Vladislav GavrikovX100.00764284658683886330726274536966075670
Rayé
1Anthony BeauvillierX100.00774290766982887156687263746566047680
2Mario KempeX100.00683988637174736470626162647972020640
3Tony DeAngeloX87.82655167746885827330837258616968054690
MOYENNE D'ÉQUIPE98.8274458070788184685570697266777206468
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 Koskinen95.0092959396919092919092918086054760
2Brian Elliott100.0084929082838284838284838589075720
Rayé
MOYENNE D'ÉQUIPE97.508894928987868887868887838806574
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 JohnsonJetsD69174057-4575129110130368813.08%102172525.0161319682211122237410.00%000000.6600100242
2Zach PariseJetsLW/RW69253156410014128278701648.99%16139120.175813621902024966245.13%11300120.8023000542
3Brock NelsonJetsC6925315610160421962365617710.59%15141420.5078155219720251535152.62%169900100.7901000321
4Travis ZajacJetsC692125468200661741665912612.65%13126818.3886144219200041772254.74%165700000.7301000152
5Ryan DzingelJetsC/LW/RW621726439195411091524513211.18%7123619.94310133217610192083041.06%50900100.7000000371
6Matt NiskanenJetsD6973441-1178020512810346836.80%114167224.2331114511820111217200.00%000000.4900000203
7Tony DeAngeloJetsD6910314126180428389174411.24%58141520.51549541970224208110.00%000000.5800000023
8Tyler EnnisJetsLW/RW69161834544013174133299012.03%1114016.533473315600021001134.38%9600000.6002000433
9Anders LeeJetsLW6915193416152447515138959.93%7134119.44257271730004724145.82%47800000.5111010342
10Brayden McNabbJetsD694273111760235938732534.60%101139520.23257441550111173000.00%000000.4400000022
11Travis HamonicJetsD69226281261051905117483.92%73114716.6405521520220113100.00%000000.4900011101
12Anthony BeauvillierJetsLW541013235140566095276110.53%476114.100337470110342035.19%5400000.6000000103
13Casey CizikasJetsC6991120160768410320658.74%146279.09156301360002852250.00%65000000.6402000002
14Cal ClutterbuckJetsRW537815050101217961204011.48%1067112.67101416011061041.76%60100000.4500011011
15Denis GurianovJetsLW/RW699413-1100243282153710.98%082211.92000119000002046.67%6000000.3200000112
16Vladislav GavrikovJetsD69291186601335227677.41%5193513.560000200005110.00%000000.2400000010
17James NealJetsLW69336-512024285611325.36%25007.260001100001110048.48%3300000.2400000000
18Tyson JostJetsC3924666016364516184.44%447112.0910112000040045.74%12900000.2500000000
19Wayne SimmondsJetsRW66202-52804917239218.70%13845.8200000000000042.86%2100000.1000000000
20Mario KempeJetsRW2000100100000.00%0105.410000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1242203360563706173517001648206856913819.82%5932033616.37478713453021306915391907371249.51%610000320.55310132263630
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 KoskinenJets69372470.9082.6840376418019660140.55696901013
2Brian ElliottJets41000.9481.71140204770000.0000069000
Stats d'équipe Total ou en Moyenne73382470.9102.6441778418420430140.556969691013


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$1,423,077$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$426,923$No2,100,000$Lien / Lien NHL
Brayden McNabbJetsD281991-01-21No213 Lbs6 ft4NoNoNo3Pro & Farm2,500,000$2,500,000$508,242$No2,500,000$2,500,000$Lien / Lien NHL
Brian ElliottJetsG341985-04-09No209 Lbs6 ft2NoNoNo1Pro & Farm2,000,000$2,000,000$406,593$NoLien / Lien NHL
Brock NelsonJetsC271991-10-15No212 Lbs6 ft3NoNoNo6Pro & Farm6,000,000$6,000,000$1,219,780$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$711,538$No3,500,000$3,500,000$Lien / Lien NHL
Casey CizikasJetsC281991-02-27No195 Lbs5 ft11NoNoNo2Pro & Farm3,350,000$3,350,000$681,044$No3,350,000$Lien / Lien NHL
Denis GurianovJetsLW/RW221997-06-07No200 Lbs6 ft3NoNoNo1Pro & Farm1,644,166$1,644,166$334,254$NoLien / Lien NHL
Erik JohnsonJetsD311988-03-21No225 Lbs6 ft4NoNoNo4Pro & Farm6,000,000$6,000,000$1,219,780$No6,000,000$6,000,000$6,000,000$Lien / Lien NHL
James NealJetsLW321987-09-03No212 Lbs6 ft3NoNoNo4Pro & Farm5,750,000$5,750,000$1,168,956$No5,750,000$5,750,000$5,750,000$Lien / Lien NHL
Mario KempeJetsRW311988-09-19No185 Lbs6 ft0NoNoNo1Pro & Farm650,000$650,000$132,143$NoLien / Lien NHL
Matt NiskanenJetsD321986-12-06No203 Lbs6 ft1NoNoNo1Pro & Farm5,750,000$5,750,000$1,168,956$NoLien / Lien NHL
Mikko Koskinen (Sur la Masse Salariale)JetsG311988-07-18No202 Lbs6 ft7NoNoNo3Pro & Farm4,500,000$4,500,000$914,835$No4,500,000$4,500,000$Lien / Lien NHL
Ryan DzingelJetsC/LW/RW271992-03-09No190 Lbs6 ft0NoNoNo2Pro & Farm3,375,000$3,375,000$686,126$No3,375,000$Lien / Lien NHL
Tony DeAngelo (Sur la Masse Salariale)JetsD231995-10-24No180 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$YesLien / Lien NHL
Travis HamonicJetsD291990-08-16No205 Lbs6 ft2NoNoNo1Pro & Farm3,857,000$3,857,000$784,115$NoLien / Lien NHL
Travis ZajacJetsC341985-05-13No185 Lbs6 ft2NoNoNo2Pro & Farm5,750,000$5,750,000$1,168,956$No5,750,000$Lien / Lien NHL
Tyler EnnisJetsLW/RW301989-10-06No161 Lbs5 ft9NoNoNo1Pro & Farm800,000$800,000$162,637$NoLien / Lien NHL
Tyson JostJetsC211998-03-14No187 Lbs5 ft11NoNoNo1Pro & Farm1,673,333$1,673,333$340,183$NoLien / Lien NHL
Vladislav GavrikovJetsD231995-11-21No213 Lbs6 ft3NoNoNo1Pro & Farm1,350,000$1,350,000$274,451$NoLien
Wayne SimmondsJetsRW311988-08-26No185 Lbs6 ft2NoNoNo1Pro & Farm5,000,000$5,000,000$1,016,484$NoLien / Lien NHL
Zach PariseJetsLW/RW351984-07-28No195 Lbs5 ft11NoNoNo6Pro & Farm7,538,000$7,538,000$1,532,451$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
3Tyson JostCal ClutterbuckDenis Gurianov25122
4James NealCasey CizikasWayne Simmonds10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt NiskanenErik Johnson30023
2Brayden McNabb30122
3Travis HamonicVladislav Gavrikov20131
4Matt NiskanenErik Johnson20023
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zach PariseAnders LeeCasey Cizikas60005
2Tyler EnnisTravis ZajacRyan Dzingel40005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt NiskanenErik Johnson60005
2Brayden McNabb40005
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ryan DzingelCasey Cizikas60041
2Travis ZajacTyler Ennis40041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt NiskanenErik Johnson60050
2Brayden McNabb40050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tyler Ennis60050Matt NiskanenErik Johnson60050
2Travis Zajac40050Brayden 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
2Brayden 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, Cal Clutterbuck, James Neal, Denis Gurianov
Lignes de Défense Perso. en Prol.
Matt Niskanen, Erik Johnson, , 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
1Avalanche422000001217-52110000068-22110000069-340.5001223350052501444653450137372610014428.57%11190.91%01285252350.93%1201247548.53%534102951.90%976690305226
2Blackhawks3120000068-2211000005501010000013-220.3336121810222081282528089222676900.00%13192.31%01285252350.93%1201247548.53%534102951.90%664577213617
3Blue Jackets210010001156100010003211100000083541.000112132004331531521161712225598450.00%10190.00%01285252350.93%1201247548.53%534102951.90%452948152713
4Blues21100000550110000003121010000024-220.500591400221056242390481716616116.67%8187.50%01285252350.93%1201247548.53%534102951.90%483247132412
5Bruins10001000321100010003210000000000021.0003690010113413101012511932400.00%2150.00%01285252350.93%1201247548.53%534102951.90%2416238146
6Canadiens21100000541110000004221010000012-120.5005813001220571924140481312571119.09%60100.00%01285252350.93%1201247548.53%534102951.90%503544152412
7Canucks21000100770110000004311000010034-130.75071118002320672419240661126529222.22%12375.00%01285252350.93%1201247548.53%534102951.90%483244152713
8Capitals32100000752211000004401100000031240.667712191140307717253509126167910110.00%8187.50%01285252350.93%1201247548.53%534102951.90%674473223919
9Coyotes21100000752000000000002110000075220.50071017004300592021180401410534250.00%50100.00%11285252350.93%1201247548.53%534102951.90%442949142612
10Devils201010006601010000012-11000100054120.5006111700140159192312567201458300.00%7185.71%01285252350.93%1201247548.53%534102951.90%453149152613
11Ducks3020000138-52020000015-41000000123-110.1673690002117427212181002036797114.29%17288.24%01285252350.93%1201247548.53%534102951.90%684476233918
12Flames21100000550000000000002110000055020.50057120031105519181805511294813215.38%8187.50%01285252350.93%1201247548.53%534102951.90%473147162512
13Flyers1000010045-1000000000001000010045-110.5004812003100411812101271012247228.57%5180.00%01285252350.93%1201247548.53%534102951.90%2618227126
14Golden Knights10001000211100010002110000000000021.0002460000113610121222581028300.00%50100.00%01285252350.93%1201247548.53%534102951.90%2214248136
15Hurricanes2010100045-11010000013-21000100032120.5004711000121528182335991449500.00%70100.00%01285252350.93%1201247548.53%534102951.90%473449142512
16Islanders220000001147110000007251100000042241.0001118290053307530281705921293615640.00%11190.91%11285252350.93%1201247548.53%534102951.90%523844152312
17Kings11000000633000000000001100000063321.0006121800501024125703211828100.00%3166.67%01285252350.93%1201247548.53%534102951.90%2316246126
18Lightning2110000057-21010000026-41100000031220.50059140021206619173005823223912216.67%9366.67%01285252350.93%1201247548.53%534102951.90%503444142413
19Maple Leafs21100000651110000004221010000023-120.5006111700411076243022047118479111.11%4250.00%01285252350.93%1201247548.53%534102951.90%523643142412
20Oilers3200010012102210001008711100000043150.83312203200453011243373029429168310220.00%8450.00%01285252350.93%1201247548.53%534102951.90%765469203518
21Panthers2010100056-1100010003211010000024-220.500591400121141111217173162243500.00%11281.82%01285252350.93%1201247548.53%534102951.90%442750162813
22Penguins2020000049-51010000014-31010000035-200.00047111040006131171305314203910330.00%10190.00%01285252350.93%1201247548.53%534102951.90%432951152511
23Predators4100110111921000010023-13100100196360.750111829016132122374238913250318920420.00%12283.33%11285252350.93%1201247548.53%534102951.90%9564104315126
24Rangers22000000844110000004131100000043141.00081422005210662029170491218535120.00%8275.00%01285252350.93%1201247548.53%534102951.90%483346142412
25Red Wings20001100770100010005411000010023-130.7507142100213158221517472151842600.00%90100.00%01285252350.93%1201247548.53%534102951.90%503451152613
26Sabres52200010141401010000034-1421000101110160.600142236003911132415431913443531161218.33%23769.57%11285252350.93%1201247548.53%534102951.90%11475125386532
27Senateurs22000000734110000003031100000043141.0007142101142069183219057292253700.00%11190.91%01285252350.93%1201247548.53%534102951.90%483245152513
28Sharks31200000610-42110000067-11010000003-320.333612181032108726352608232306710440.00%14471.43%01285252350.93%1201247548.53%534102951.90%694669234019
29Stars2110000056-1110000003211010000024-220.50058130012204661822068142034900.00%10460.00%21285252350.93%1201247548.53%534102951.90%453048152612
30Wild311010001055210010008261010000023-140.6671017270115318832282628922277610330.00%10190.00%01285252350.93%1201247548.53%534102951.90%694778233617
Total692824095122041901433141106200968412361413033121081062830.6012043605644479645112206867972462748204759362517002544718.50%2774982.31%61285252350.93%1201247548.53%534102951.90%163411101668524887441
_Since Last GM Reset692824095122041901433141106200968412361413033121081062830.6012043605644479645112206867972462748204759362517002544718.50%2774982.31%61285252350.93%1201247548.53%534102951.90%163411101668524887441
_Vs Conference351413033029799-2178502200484441868011024955-6390.5579716926622383026510513543573242310572983118741252520.00%1362581.62%41285252350.93%1201247548.53%534102951.90%822556852265449220
_Vs Division1877021014950-19520110027216925010012229-7200.556498713612171416353717318916811563162146436681217.65%641084.38%31285252350.93%1201247548.53%534102951.90%421287446137228112

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6983W120436056420682047593625170044
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6928249512204190
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
33141162009684
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3614133312108106
Derniers 10 Matchs
WLOTWOTL SOWSOL
351100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2544718.50%2774982.31%6
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
6797246274879645112
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
1285252350.93%1201247548.53%534102951.90%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
163411101668524887441


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 - 2020-10-076Sharks4Jets5WSommaire du Match
2 - 2020-10-089Jets3Sabres1WSommaire du Match
6 - 2020-10-1238Jets4Sabres2WSommaire du Match
7 - 2020-10-1348Jets6Predators3WSommaire du Match
9 - 2020-10-1562Stars2Jets3WSommaire du Match
12 - 2020-10-1879Jets3Canucks4LXSommaire du Match
13 - 2020-10-1992Oilers3Jets5WSommaire du Match
15 - 2020-10-21111Blackhawks3Jets1LSommaire du Match
18 - 2020-10-24129Jets2Flames4LSommaire du Match
20 - 2020-10-26143Sharks3Jets1LSommaire du Match
23 - 2020-10-29162Jets2Predators3LXXSommaire du Match
24 - 2020-10-30173Ducks3Jets0LSommaire du Match
27 - 2020-11-02195Wild2Jets3WXSommaire du Match
28 - 2020-11-03200Jets1Avalanche6LSommaire du Match
32 - 2020-11-07228Capitals0Jets2WSommaire du Match
33 - 2020-11-08239Jets2Blues4LSommaire du Match
36 - 2020-11-11258Blues1Jets3WSommaire du Match
38 - 2020-11-13272Jets4Senateurs3WSommaire du Match
40 - 2020-11-15289Sabres4Jets3LSommaire du Match
42 - 2020-11-17300Jets2Maple Leafs3LSommaire du Match
44 - 2020-11-19314Jets3Flames1WSommaire du Match
46 - 2020-11-21330Lightning6Jets2LSommaire du Match
48 - 2020-11-23349Jets4Flyers5LXSommaire du Match
49 - 2020-11-24357Jets5Coyotes2WSommaire du Match
51 - 2020-11-26369Blue Jackets2Jets3WXSommaire du Match
54 - 2020-11-29390Bruins2Jets3WXSommaire du Match
57 - 2020-12-02414Senateurs0Jets3WSommaire du Match
58 - 2020-12-03429Jets3Hurricanes2WXSommaire du Match
60 - 2020-12-05444Jets6Kings3WSommaire du Match
62 - 2020-12-07456Avalanche3Jets4WSommaire du Match
66 - 2020-12-11478Canucks3Jets4WSommaire du Match
69 - 2020-12-14500Maple Leafs2Jets4WSommaire du Match
71 - 2020-12-16516Jets2Wild3LSommaire du Match
72 - 2020-12-17529Islanders2Jets7WSommaire du Match
75 - 2020-12-20546Jets2Stars4LSommaire du Match
78 - 2020-12-23566Penguins4Jets1LSommaire du Match
80 - 2020-12-25581Jets0Sabres4LSommaire du Match
82 - 2020-12-27591Jets4Oilers3WSommaire du Match
83 - 2020-12-28603Canadiens2Jets4WSommaire du Match
86 - 2020-12-31626Wild0Jets5WSommaire du Match
88 - 2021-01-02637Jets2Ducks3LXXSommaire du Match
90 - 2021-01-04653Jets3Capitals1WSommaire du Match
91 - 2021-01-05666Red Wings4Jets5WXSommaire du Match
94 - 2021-01-08685Jets2Panthers4LSommaire du Match
96 - 2021-01-10696Rangers1Jets4WSommaire du Match
98 - 2021-01-12708Jets4Rangers3WSommaire du Match
100 - 2021-01-14727Hurricanes3Jets1LSommaire du Match
102 - 2021-01-16741Jets3Penguins5LSommaire du Match
104 - 2021-01-18756Golden Knights1Jets2WXSommaire du Match
106 - 2021-01-20772Jets4Sabres3WXXSommaire du Match
108 - 2021-01-22781Jets5Avalanche3WSommaire du Match
110 - 2021-01-24792Oilers4Jets3LXSommaire du Match
111 - 2021-01-25807Jets1Predators0WXSommaire du Match
114 - 2021-01-28823Predators3Jets2LXSommaire du Match
117 - 2021-01-31845Jets5Devils4WXSommaire du Match
119 - 2021-02-02856Jets0Sharks3LSommaire du Match
120 - 2021-02-03862Blackhawks2Jets4WSommaire du Match
123 - 2021-02-06884Capitals4Jets2LSommaire du Match
126 - 2021-02-09905Jets2Coyotes3LSommaire du Match
128 - 2021-02-11916Avalanche5Jets2LSommaire du Match
130 - 2021-02-13931Jets2Red Wings3LXSommaire du Match
132 - 2021-02-15947Devils2Jets1LSommaire du Match
134 - 2021-02-17959Jets1Canadiens2LSommaire du Match
136 - 2021-02-19977Jets8Blue Jackets3WSommaire du Match
138 - 2021-02-21985Ducks2Jets1LSommaire du Match
140 - 2021-02-231004Jets3Lightning1WSommaire du Match
141 - 2021-02-241015Panthers2Jets3WXSommaire du Match
143 - 2021-02-261032Jets1Blackhawks3LSommaire du Match
145 - 2021-02-281041Jets4Islanders2WSommaire du Match
147 - 2021-03-021052Flyers-Jets-
150 - 2021-03-051078Flames-Jets-
152 - 2021-03-071096Jets-Bruins-
154 - 2021-03-091106Sharks-Jets-
157 - 2021-03-121130Jets-Blues-
158 - 2021-03-131142Kings-Jets-
161 - 2021-03-161163Kings-Jets-
164 - 2021-03-191180Jets-Canucks-
165 - 2021-03-201181Jets-Golden Knights-
168 - 2021-03-231203Coyotes-Jets-
174 - 2021-03-291232Stars-Jets-
175 - 2021-03-301241Jets-Golden Knights-
179 - 2021-04-031260Stars-Jets-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des Billets100603525200
Assistance186,901157,09461,318127,46531,694
Attendance PCT94.39%95.21%92.91%96.56%96.04%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
8 17105 - 95.03% 614,894$20,291,517$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
63,942,306$ 80,087,499$ 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
80,087,499$ 63,862,667$ 0$ 21 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
4,919,156$ 37 440,591$ 16,301,867$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées Compte Bancaire Actuel Compte Bancaire Projeté
16,632,240$ 4,766,106$ -6,946,978$
Cap Salarial de la Saison ÉstiméCap Salarial DisponibleCap Salarial MaximumAu dessus du Plafond Salarial Minimum
80,087,499$ 1,412,501$ 81,500,000$ 19,887,499$



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
10
11
12
13
14



Début de saison surprenant des Destroyers

Par Mathieu Turgeon (Islanders) 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)
(Jets) 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 (Rangers) 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 (Islanders) 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 (Ducks) Le 5th October / 1:46am :

Woop woop

Enfin de retour avec un article :)

(Jets) Le 5th October / 2:19am :

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

Nouveau Commentaire



[2021-02-12 4:34:18 PM] - General Manager Change : Jets hired general manager Hugo Guerra
[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.



[2021-02-28 10:48:13 PM] Game 1041 - Tony DeAngelo from Jets is injured (Concussion) and is out for 2 weeks.
[2021-02-22 7:34:01 PM] Anthony Beauvillier from Jets is back from Sprained Left Ankle Injury.
[2021-02-21 8:51:54 PM] Travis Zajac from Jets is back from Right Knee Injury.
[2021-02-21 8:51:52 PM] Game 985 - Travis Zajac from Jets is injured (Right Knee) and is out for 1 days.
[2021-02-21 8:51:48 PM] Auto Lines Partial Function has been run for Jets.
[2021-02-21 8:51:48 PM] Auto Roster Partial Function has been run for Jets.
[2021-02-20 8:05:54 PM] Brock Nelson from Jets is back from Exhaustion.
[2021-02-19 8:13:18 PM] Brock Nelson from Jets is injured from Exhaustion.
[2021-02-19 8:13:18 PM] Game 977 - Anthony Beauvillier from Jets is injured (Sprained Left Ankle) and is out for 1 week.
[2021-02-15 7:17:02 PM] Auto Lines Partial Function has been run for Jets.
[2021-01-28 9:07:25 PM] Hudson Fasching from Moose has scored a Hat Trick!
[2021-01-26 7:39:08 PM] Anthony Beauvillier from Jets is back from Sore Right Knee Injury.
[2021-01-23 7:06:12 PM] Auto Lines Partial Function has been run for Jets.
[2021-01-23 7:06:12 PM] Auto Roster Partial Function has been run for Jets.
[2021-01-21 7:56:50 PM] Game 781 - Anthony Beauvillier from Jets is injured (Sore Right Knee) and is out for 1 week.
[2021-01-21 7:56:45 PM] Auto Lines Partial Function has been run for Jets.
[2021-01-21 7:56:45 PM] Auto Roster Partial Function has been run for Jets.
[2021-01-20 7:49:49 PM] Anders Lee from Jets is back from Exhaustion.
[2021-01-19 10:22:23 PM] Anders Lee from Jets is injured from Exhaustion.



Tony DeAngelo est dehors pour 1 semaine à cause de Concussion Injury.



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
9692824095122041901433141106200968412361413033121081062832043605644479645112206867972462748204759362517002544718.50%2774982.31%61285252350.93%1201247548.53%534102951.90%163411101668524887441
Total Saison Régulière725330260033443622207819401383611691260182217910479271203641611340152219131031101318723207836675745304673365961710622218721473307388479208916019637916081274051518.80%268348681.89%21136472599552.50%128602491351.62%57191100151.99%176271221717076534292624636
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