Jets

GP: 6 | W: 3 | L: 3 | OTL: 0 | P: 6
GF: 15 | GA: 14 | PP%: 11.76% | PK%: 90.48%
DG: Fred Joanis | Morale : 51 | Moyenne d'Équipe : 76
Prochain matchs #83 vs Stars
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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
1Aleksander BarkovX96.005536928086899587908882838567848851870
2Gabriel LandeskogX99.008247737980878678728285738174917752850
3Gustav NyquistXX99.005736918069859477537974587678734852790
4Pierre-Luc DuboisX99.008043727885839576807777687961668952790
5Tomas HertlXX100.006237887983859078828084837771737952780
6Travis ZajacX100.006737877377859371867472806984775352760
7Derek RyanX100.005338866967759468767365816882742652730
8Jesper BrattXX100.006336927365786472538065576961624952730
9Brendan LeipsicXX100.007039836867757666537162566469666152710
10Devin ShoreXX100.007942886678778964707263776569716552710
11Tage ThompsonXX100.007437876893707367596369626463628052710
12Dustin ByfuglienX99.008453567698916574308866756384753652780
13Rasmus RistolainenX99.009340807289919271308263745669678452760
14Nikita ZadorovX100.009560656695838466306767785467648252750
15Alex GoligoskiX100.007337896569878965307757785184743652740
16Matt DumbaX100.008447747871905077307685736569668452740
17Mark PysykX100.008439836077838459307053754773676952710
18Noah JuulsenX100.008637896379825062307056804963628052710
Rayé
1Andrew CoglianoXX100.006838867067739166546259716380735044690
MOYENNE D'ÉQUIPE99.53744182727983827155756973667271655275
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 Koskinen100.00899593968887898887898879856152860
2Craig Anderson100.00869492778584868584868588922752830
Rayé
MOYENNE D'ÉQUIPE100.0088959387878688878688878489445285
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Richards75808569787371USA5211,000,000$


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
1Aleksander BarkovJetsC636940081730162010.00%416227.030334320000180057.73%22091001.1100000200
2Gustav NyquistJetsLW/RW6246200612198810.53%113121.97101332000191029.41%1713000.9100000000
3Dustin ByfuglienJetsD6235-1801311163812.50%817429.15000538000012110.00%035000.5700000010
4Gabriel LandeskogJetsLW63252201192571412.00%014123.542137320001160084.62%1352000.7100000101
5Rasmus RistolainenJetsD6224-220129102620.00%815826.48011138000016010.00%013000.5000000001
6Brendan LeipsicJetsLW/RW6112-2009515476.67%07913.2600000000051050.00%411000.5000000010
7Jesper BrattJetsLW/RW6022-1003511540.00%19916.63000123000000050.00%440000.4000000000
8Pierre-Luc DuboisJetsC6112-2801010185155.56%310918.22011323000070053.09%8101000.3700000000
9Tomas HertlJetsC/LW6112-10044142127.14%29916.611012230000000100.00%341000.4000000000
10Matt DumbaJetsD6011020308240.00%36310.520000000000000.00%020000.3200000000
11Travis ZajacJetsC6011-4202410790.00%27412.3600000000000065.22%4620000.2700000000
12Noah JuulsenJetsD6011000273210.00%36911.590000000007000.00%002000.2900000000
13Alex GoligoskiJetsD6000000473100.00%912020.08000017000015000.00%027000.0000000000
14Derek RyanJetsC6000120052100.00%0386.3400000000010055.56%1800000.0000000000
15Devin ShoreJetsC/LW6000120021100.00%0315.260000000000000.00%010000.0000000000
16Mark PysykJetsD6000100000000.00%1223.750000000000000.00%000000.0000000000
17Nikita ZadorovJetsD6000-11001068040.00%511419.03000017000012000.00%024000.0000000000
18Tage ThompsonJetsLW/RW6000-4207115140.00%57813.1000000000060050.00%412000.0000000000
Stats d'équipe Total ou en Moyenne108152540-7400104114208671167.21%55176916.3846102628100021303257.32%4103832000.4500000322
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 KoskinenJets63300.9272.17360201317782010.000060020
Stats d'équipe Total ou en Moyenne63300.9272.17360201317782010.000060020


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Aleksander BarkovJetsC221995-09-02No213 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm5,900,000$5,900,000$5,431,746$NoLien
Alex GoligoskiJetsD321985-07-30No185 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm5,475,000$5,475,000$5,040,476$NoLien
Andrew CoglianoJetsC/LW301987-06-14No177 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm3,250,000$3,250,000$2,992,063$NoLien
Brendan LeipsicJetsLW/RW231994-05-19No182 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm750,000$750,000$690,476$NoLien
Craig AndersonJetsG361981-05-21No185 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm1,175,000$1,175,000$1,081,746$NoLien
Derek RyanJetsC301986-12-29No185 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm3,125,000$3,125,000$2,876,984$NoLien
Devin ShoreJetsC/LW231994-07-19No205 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm2,300,000$2,300,000$2,117,460$NoLien
Dustin ByfuglienJetsD321985-03-27No260 Lbs6 ft5NoNoNo2Sans RestrictionPro & Farm7,600,000$7,600,000$6,996,825$NoLien
Gabriel LandeskogJetsLW241992-11-23No215 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm5,571,428$5,571,428$5,129,251$NoLien
Gustav NyquistJetsLW/RW281989-09-01No184 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm5,500,000$5,500,000$5,063,492$NoLien
Jesper BrattJetsLW/RW191998-07-30No175 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm750,000$750,000$690,476$NoLien
Mark PysykJetsD251992-01-11No200 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm2,733,333$2,733,333$2,516,402$NoLien
Matt DumbaJetsD231994-07-25No182 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm6,000,000$6,000,000$5,523,810$NoLien
Mikko KoskinenJetsG291988-07-18No202 Lbs6 ft7NoNoNo3Sans RestrictionPro & Farm3,575,000$3,575,000$3,291,270$NoLien
Nikita ZadorovJetsD221995-04-16No230 Lbs6 ft5NoNoNo1Contrat d'EntréePro & Farm3,200,000$3,200,000$2,946,032$NoLien
Noah JuulsenJetsD201997-04-02No193 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm1,063,333$1,063,333$978,941$NoLien
Pierre-Luc DuboisJetsC191998-06-24No207 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm894,166$894,166$823,200$NoLien
Rasmus RistolainenJetsD221994-10-27No215 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm5,400,000$5,400,000$4,971,429$NoLien
Tage ThompsonJetsLW/RW191997-10-30No205 Lbs6 ft6NoNoNo1Contrat d'EntréePro & Farm925,000$925,000$851,587$NoLien
Tomas HertlJetsC/LW231993-11-12No215 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm5,625,000$5,625,000$5,178,571$NoLien
Travis ZajacJetsC321985-05-13No185 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm4,125,000$4,125,000$3,797,619$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2125.38200 Lbs6 ft21.813,568,441$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
74,937,260$55,646,428$26,500,000$6,000,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Gabriel LandeskogAleksander BarkovGustav Nyquist40122
2Tomas HertlPierre-Luc DuboisJesper Bratt30122
3Tage ThompsonTravis ZajacBrendan Leipsic20122
4Devin ShoreDerek RyanAleksander Barkov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dustin ByfuglienRasmus Ristolainen40122
2Nikita ZadorovAlex Goligoski30122
3Matt DumbaNoah Juulsen20122
4Mark PysykDustin Byfuglien10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Gabriel LandeskogAleksander BarkovGustav Nyquist60122
2Tomas HertlPierre-Luc DuboisJesper Bratt40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dustin ByfuglienRasmus Ristolainen60122
2Nikita ZadorovAlex Goligoski40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Aleksander BarkovGabriel Landeskog60122
2Gustav NyquistPierre-Luc Dubois40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dustin ByfuglienRasmus Ristolainen60122
2Nikita ZadorovAlex Goligoski40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Aleksander Barkov60122Dustin ByfuglienRasmus Ristolainen60122
2Gabriel Landeskog40122Nikita ZadorovAlex Goligoski40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Aleksander BarkovGabriel Landeskog60122
2Gustav NyquistPierre-Luc Dubois40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dustin ByfuglienRasmus Ristolainen60122
2Nikita ZadorovAlex Goligoski40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Gabriel LandeskogAleksander BarkovGustav NyquistDustin ByfuglienRasmus Ristolainen
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Gabriel LandeskogAleksander BarkovGustav NyquistDustin ByfuglienRasmus Ristolainen
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Travis Zajac, Derek Ryan, Tage ThompsonTravis Zajac, Derek RyanTage Thompson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Dumba, Noah Juulsen, Mark PysykMatt DumbaNoah Juulsen, Mark Pysyk
Tirs de Pénalité
Aleksander Barkov, Gabriel Landeskog, Gustav Nyquist, Pierre-Luc Dubois, Tomas Hertl
Gardien
#1 : Mikko Koskinen, #2 : Craig Anderson


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
1Avalanche20101000550100010003211010000023-120.50057120012116619271823718123710220.00%6183.33%010718856.91%8614061.43%427655.26%482734183819
2Blues211000004401010000012-11100000032120.5004711001210692126220741316361417.14%8187.50%010718856.91%8614061.43%427655.26%452439183519
3Sharks11000000413110000004130000000000021.0004711001120319715036166165120.00%30100.00%010718856.91%8614061.43%427655.26%2314207169
4Stars1010000024-21010000024-20000000000000.000246100110421111200318815500.00%40100.00%010718856.91%8614061.43%427655.26%2213208168
Total62301000151414120100010912110000055060.5001525401036512086071752178554210434411.76%21290.48%010718856.91%8614061.43%427655.26%140791145310756
_Since Last GM Reset62301000151414120100010912110000055060.5001525401036512086071752178554210434411.76%21290.48%010718856.91%8614061.43%427655.26%140791145310756
_Vs Conference62301000151414120100010912110000055060.5001525401036512086071752178554210434411.76%21290.48%010718856.91%8614061.43%427655.26%140791145310756
_Vs Division513010001113-23020100068-22110000055040.400111829102531177516460214239368829310.34%18288.89%010718856.91%8614061.43%427655.26%1166594469047

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
66OTW1152540208178554210410
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
62310001514
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4121000109
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
211000055
Derniers 10 Matchs
WLOTWOTL SOWSOL
231000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
34411.76%21290.48%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
60717523651
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
10718856.91%8614061.43%427655.26%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
140791145310756


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 - 2019-10-059Jets2Avalanche3LSommaire du Match
4 - 2019-10-0720Stars4Jets2LSommaire du Match
5 - 2019-10-0822Jets3Blues2WSommaire du Match
8 - 2019-10-1138Sharks1Jets4WSommaire du Match
11 - 2019-10-1456Blues2Jets1LSommaire du Match
15 - 2019-10-1876Avalanche2Jets3WXSommaire du Match
16 - 2019-10-1983Jets-Stars-
19 - 2019-10-2296Jets-Predateurs-
21 - 2019-10-24105Predateurs-Jets-
25 - 2019-10-28123Blackhawks-Jets-
27 - 2019-10-30136Jets-Blues-
28 - 2019-10-31147Jets-Blackhawks-
30 - 2019-11-02156Predateurs-Jets-
33 - 2019-11-05172Kings-Jets-
35 - 2019-11-07186Jets-Bruins-
37 - 2019-11-09195Jets-Blackhawks-
39 - 2019-11-11201Senateurs-Jets-
41 - 2019-11-13211Jets-Bruins-
44 - 2019-11-16226Ducks-Jets-
46 - 2019-11-18233Jets-Flyers-
48 - 2019-11-20244Jets-Blackhawks-
50 - 2019-11-22256Blue Jackets-Jets-
52 - 2019-11-24263Jets-Blue Jackets-
54 - 2019-11-26272Jets-Predateurs-
56 - 2019-11-28283Ducks-Jets-
58 - 2019-11-30299Jets-Maple Leafs-
60 - 2019-12-02307Blues-Jets-
62 - 2019-12-04320Jets-Penguins-
65 - 2019-12-07330Predateurs-Jets-
67 - 2019-12-09344Jets-Predateurs-
69 - 2019-12-11354Lightning-Jets-
71 - 2019-12-13366Jets-Islanders-
73 - 2019-12-15375Jets-Senateurs-
74 - 2019-12-16384Stars-Jets-
78 - 2019-12-20401Canadiens-Jets-
80 - 2019-12-22414Jets-Panthers-
82 - 2019-12-24426Flyers-Jets-
86 - 2019-12-28446Devils-Jets-
88 - 2019-12-30458Jets-Golden Knights-
90 - 2020-01-01466Golden Knights-Jets-
93 - 2020-01-04484Jets-Canadiens-
94 - 2020-01-05496Maple Leafs-Jets-
98 - 2020-01-09515Capitals-Jets-
100 - 2020-01-11525Jets-Blues-
102 - 2020-01-13536Islanders-Jets-
103 - 2020-01-14547Jets-Capitals-
106 - 2020-01-17560Penguins-Jets-
110 - 2020-01-21581Bruins-Jets-
113 - 2020-01-24594Jets-Blues-
115 - 2020-01-26604Jets-Golden Knights-
116 - 2020-01-27610Blackhawks-Jets-
119 - 2020-01-30628Flames-Jets-
121 - 2020-02-01642Jets-Stars-
123 - 2020-02-03651Flames-Jets-
125 - 2020-02-05662Jets-Devils-
128 - 2020-02-08675Blues-Jets-
130 - 2020-02-10686Jets-Lightning-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
133 - 2020-02-13701Sharks-Jets-
137 - 2020-02-17722Jets-Kings-
138 - 2020-02-18726Stars-Jets-
141 - 2020-02-21743Jets-Stars-
142 - 2020-02-22748Sharks-Jets-
146 - 2020-02-26771Avalanche-Jets-
148 - 2020-02-28782Jets-Sharks-
150 - 2020-03-01793Avalanche-Jets-
153 - 2020-03-04808Jets-Avalanche-
155 - 2020-03-06820Panthers-Jets-
157 - 2020-03-08828Jets-Kings-
159 - 2020-03-10837Jets-Sharks-
160 - 2020-03-11844Jets-Oilers-
162 - 2020-03-13851Golden Knights-Jets-
165 - 2020-03-16869Jets-Oilers-
166 - 2020-03-17874Blackhawks-Jets-
169 - 2020-03-20892Oilers-Jets-
171 - 2020-03-22900Jets-Ducks-
173 - 2020-03-24916Kings-Jets-
174 - 2020-03-25922Jets-Avalanche-
175 - 2020-03-26926Jets-Ducks-
179 - 2020-03-30943Oilers-Jets-
183 - 2020-04-03955Jets-Flames-
184 - 2020-04-04964Kings-Jets-
185 - 2020-04-05970Jets-Flames-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100856535200
Assistance22,47111,9494,09411,3213,844
Attendance PCT93.63%59.75%51.18%70.76%96.10%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
37 13420 - 74.55% 1,595,930$6,383,718$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
6,026,760$ 74,937,260$ 74,874,760$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
74,937,260$ 5,947,395$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
59,049,392$ 174 401,784$ 69,910,416$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
71,264,208$ 74,937,260$ 7,595,032$ -4,619,784$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Gabriel LandeskogAGE:24PO:77OV:85
Gustav NyquistAGE:28PO:48OV:79
Tomas HertlAGE:23PO:79OV:78
Jesper BrattAGE:19PO:49OV:73
Tage ThompsonAGE:19PO:80OV:71
Devin ShoreAGE:23PO:65OV:71
Brendan LeipsicAGE:23PO:61OV:71
Filip ChytilAGE:18PO:84OV:70
Brock McGinnAGE:23PO:70OV:70
Andrew CoglianoAGE:30PO:50OV:69
Stefan NoesenAGE:24PO:78OV:67
Max ComtoisAGE:18PO:78OV:66
Janne KuokkanenAGE:19PO:74OV:63
Remi ElieAGE:22PO:73OV:63
Aleksander BarkovAGE:22PO:88OV:87
Pierre-Luc DuboisAGE:19PO:89OV:79
Tomas HertlAGE:23PO:79OV:78
Travis ZajacAGE:32PO:53OV:76
Derek RyanAGE:30PO:26OV:73
Devin ShoreAGE:23PO:65OV:71
Filip ChytilAGE:18PO:84OV:70
Kyle BrodziakAGE:33PO:34OV:70
Andrew CoglianoAGE:30PO:50OV:69
Janne KuokkanenAGE:19PO:74OV:63
Gustav NyquistAGE:28PO:48OV:79
Jesper BrattAGE:19PO:49OV:73
Tage ThompsonAGE:19PO:80OV:71
Brendan LeipsicAGE:23PO:61OV:71
Filip ChytilAGE:18PO:84OV:70
Brock McGinnAGE:23PO:70OV:70
Stefan NoesenAGE:24PO:78OV:67

Défense #1Défense #2Gardien
Dustin ByfuglienAGE:32PO:36OV:78
Rasmus RistolainenAGE:22PO:84OV:76
Nikita ZadorovAGE:22PO:82OV:75
Matt DumbaAGE:23PO:84OV:74
Alex GoligoskiAGE:32PO:36OV:74
Noah JuulsenAGE:20PO:80OV:71
Mark PysykAGE:25PO:69OV:71
Juuso ValimakiAGE:18PO:84OV:68
Gustav ForslingAGE:21PO:68OV:66
Mikko KoskinenAGE:29PO:61OV:86
Craig AndersonAGE:36PO:27OV:83
Tristan JarryAGE:22PO:75OV:75

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
Albin ErikssonJets201867
Cameron HillisJets201891
Cole CaufieldJets38
Connor TimminsJets201732
Dominic MooreJets
Jacob OlofssonJets201843
Jason RobertsonJets201739
John BeecherJets355
Kiefer BellowsJets201619
Linus KarlssonJets2018115
Marcus DavidssonJets
Mattias NorlinderJets379
Michael CammalleriJets
Nolan FooteJets331
Owen TippettJets
Robert MastrosimoneJets3103
Shane BowersJets
Ty DellandreaJets201812

Choix au Repêchage

Année R1R2R3R4R5
4WPG WPG WPG WPG
5WPG WPG WPG WPG WPG
6WPG WPG WPG WPG WPG
7WPG WPG WPG WPG WPG
8WPG WPG WPG WPG WPG



[2019-10-02 21:41:10] - Moose hired Joe Sacco for 500 000 $ for 2 year(s).
[2019-09-26 21:59:54] - TRADE : From Islanders to Jets : Dustin Byfuglien (78).
[2019-09-26 21:59:34] - TRADE : From Jets to Senateurs : Y:4-RND:4-WPG.
[2019-09-26 21:59:34] - TRADE : From Senateurs to Jets : Gustav Nyquist (79).
[2019-09-20 21:37:46] - Mikko Koskinen was added to Jets.
[2019-09-16 21:53:25] - Cam Talbot was released.
[2019-09-16 21:53:25] - Jonathan Ericsson was released.
[2019-09-16 21:53:25] - Jason Pominville was released.
[2019-08-26 22:48:11] - Jets drafts Robert Mastrosimone as the #103 overall pick in the Entry Draft of year 3.
[2019-07-12 23:13:22] - Jets drafts Mattias Norlinder as the #79 overall pick in the Entry Draft of year 3.
[2019-07-03 23:43:00] - Jets drafts John Beecher as the #55 overall pick in the Entry Draft of year 3.
[2019-07-03 23:34:35] - Jets drafts Nolan Foote as the #31 overall pick in the Entry Draft of year 3.
[2019-07-01 15:15:21] - Jets drafts Cole Caufield as the #8 overall pick in the Entry Draft of year 3.
[2019-06-21 22:09:44] - Juuso Valimaki was added to Jets.
[2019-06-21 22:09:27] - Juuso Valimaki has been deleted from Jets.
[2019-06-21 22:02:31] - Maxim Comtois has been deleted from Jets.
[2019-06-21 22:02:21] - Max Comtois was added to Jets.
[2019-05-26 21:53:43] - Ron Wilson contract with Moose has ended.
[2019-04-19 21:22:29] - Moose was eliminated at round 1 of year 2.
[2019-04-03 21:21:12] - Jets didn't make playoff for year 2.
[2019-03-08 19:57:56] - New Record for Team's Most Hits (34) in 1 Game for Jets!
[2019-03-07 22:31:57] - New Record for Team's Most Points (19) in 1 Game for Jets!
[2019-03-07 22:31:57] - New Record for Team's Most Assists (12) in 1 Game for Jets!



[2019-10-16 21:32:08] Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-14 21:49:22] Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-14 21:49:20] Game 58 - Unknown Player from Moose is injured (Back Surgery) and is out for 1 month.
[2019-10-11 20:37:26] Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-08 20:54:45] Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-06 20:44:02] Moose lines for next game are empty. Current rosters/lines are not erased. But, Jets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-10-06 20:43:15] Auto Lines Function has been run for Jets.
[2019-10-06 20:42:51] Auto Roster Function has been run for Jets.
[2019-10-04 21:22:47] Moose lines for next game are empty. Current rosters/lines are not erased. But, Jets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-10-04 20:59:55] Auto Lines Function has been run for Jets.
[2019-10-04 20:59:46] Auto Roster Function has been run for Jets.
[2019-10-04 20:59:46] Brock McGinn of Jets was sent to farm.
[2019-10-04 20:59:46] Juuso Valimaki of Jets was sent to farm.
[2019-10-04 20:56:16] Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:15] Both Jets and Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:15] Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:14] Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:12] Game 961 - Unknown Player from Moose is injured (Sprained Left Knee) and is out for 1 week.
[2019-10-04 20:56:10] Both Jets and Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:09] Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:09] Moose lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:08] Jets lines for next game are empty. Current rosters/lines are not erased.



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
362301000151414120100010912110000055061525401036512086071752178554210434411.76%21290.48%010718856.91%8614061.43%427655.26%140791145310756
Total Saison Régulière62301000151414120100010912110000055061525401036512086071752178554210434411.76%21290.48%010718856.91%8614061.43%427655.26%140791145310756