beholdershellpepitosKingspatriots

 

 


Hoodlums

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Maxime Lord | Morale : 50 | Moyenne d'Équipe : 86
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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
1Anze Kopitar (A)0X100.00493478108699768395938392928390083980
2Dustin Brown0XX100.00854065177989747546858686828791087930
3Rickard Rakell0XXX100.00673579356289759362869171775145087910
4Alexander Wennberg0XX100.00423577385786699280897774794942085880
5Josh Bailey0XX100.00383882306885688144938072736453069880
6Derick Brassard0X100.00653769306981677985878671717257079880
7David Pastrnak0XX100.00493563114186778438898774784943083870
8Brandon Saad0XX100.00401774226682837357838575706876041860
9Tyler Johnson0X100.00473475303482717679878472676760051850
10Brendan Gallagher0X100.00564166183574747461849171715759032840
11Patrick Eaves0XX100.00704070296777287933818965736150070830
12Timo Meier0X100.00793653376767827561828870624740083830
13Alexander Kerfoot0XX100.00433066343162838270858165633937086800
14Frank Vatrano0XX100.00733753314954707341798762694237077770
15Roman Josi0X100.00473476376689709321917679736971082940
16Cam Fowler0X100.00363373407489688933877573715749087900
17Justin Schultz0X100.00423374406172699022927670666676078890
18Brandon Montour0X100.00543762444972848725857576734036062850
19Erik Gustafsson0X100.00493769423567848931857570615042050840
20Travis Sanheim (R)0X100.00433264464156868429827263634239019790
Rayé
1Justin Williams0X100.00453959256577557861878367769088085860
2Marcus Sorensen0X100.00593966493447866436798066634838050740
3Alec Martinez0X100.00643377407481688631857572537576071900
4Dennis Seidenberg0X100.00813669477267528329837278498380042860
5Radko Gudas0X100.00885050467364678525857278556266077850
6Niklas Kronwall0X100.00583266446867418325887256698685020840
7Tim Heed0X100.00342274424558718330807357725141023780
MOYENNE D'ÉQUIPE100.0056356834587570824686807169615806586
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
1Jonathan Quick100.0092779293969497969584899294087970
2Craig Anderson100.0097759187939491949675899186026940
Rayé
1Aaron Dell100.0091927589959292909475755277080910
2Jack Campbell100.0081856579838291858567725974050840
MOYENNE D'ÉQUIPE100.009082818792919391937581748306192
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Luc Robitaille70707070707070CAN561450,000$


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'ÉquipePOS GP 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
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


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
Aaron DellHoodlumsG291989-05-04No200 Lbs183 CMNoNoNo0Sans RestrictionPro & Farm0$0$NoLien / Lien NHL
Alec MartinezHoodlumsD311987-07-26No208 Lbs185 CMNoNoNo0Sans RestrictionPro Only0$0$NoLien / Lien NHL
Alexander KerfootHoodlumsC/LW241994-08-11No175 Lbs178 CMNoNoNo1Avec RestrictionPro & Farm1,137,500$1,137,500$1,137,500$NoLien
Alexander WennbergHoodlumsC/RW241994-09-22No196 Lbs188 CMNoNoNo3Avec RestrictionPro & Farm4,900,000$4,900,000$4,900,000$NoLien / Lien NHL
Anze KopitarHoodlumsC311987-08-24No224 Lbs191 CMNoNoNo4Sans RestrictionPro Only12,000,000$12,000,000$12,000,000$NoLien / Lien NHL
Brandon MontourHoodlumsD241994-04-11No192 Lbs183 CMNoNoNo3Avec RestrictionPro & Farm3,387,500$3,387,500$3,387,500$NoLien / Lien NHL
Brandon SaadHoodlumsLW/RW251992-10-27No206 Lbs185 CMNoNoNo3Avec RestrictionPro & Farm6,000,000$6,000,000$6,000,000$NoLien / Lien NHL
Brendan GallagherHoodlumsRW261992-05-06No181 Lbs175 CMNoNoNo3Avec RestrictionPro & Farm3,750,000$3,750,000$3,750,000$NoLien / Lien NHL
Cam FowlerHoodlumsD261991-12-05No215 Lbs185 CMNoNoNo3Avec RestrictionPro & Farm6,500,000$6,500,000$6,500,000$NoLien / Lien NHL
Craig AndersonHoodlumsG371981-05-21No185 Lbs188 CMNoNoNo1Sans RestrictionPro Only4,100,000$4,100,000$4,100,000$NoLien / Lien NHL
David PastrnakHoodlumsLW/RW221996-05-25No188 Lbs183 CMNoNoNo5Contrat d'EntréePro & Farm6,666,666$6,666,666$6,666,666$NoLien / Lien NHL
Dennis SeidenbergHoodlumsD371981-07-18No199 Lbs183 CMNoNoNo0Sans RestrictionPro Only0$0$NoLien / Lien NHL
Derick BrassardHoodlumsC311987-09-22No202 Lbs185 CMNoNoNo1Sans RestrictionPro Only5,000,000$5,000,000$5,000,000$NoLien / Lien NHL
Dustin BrownHoodlumsLW/RW331984-11-04No216 Lbs183 CMNoNoNo0Sans RestrictionPro Only0$0$NoLien / Lien NHL
Erik GustafssonHoodlumsD261992-03-14No176 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm1,200,000$1,200,000$1,200,000$NoLien / Lien NHL
Frank VatranoHoodlumsC/LW241994-03-14No201 Lbs175 CMNoNoNo1Avec RestrictionPro & Farm925,000$925,000$925,000$NoLien / Lien NHL
Jack CampbellHoodlumsG261992-01-09No197 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm675,000$675,000$675,000$NoLien / Lien NHL
Jonathan QuickHoodlumsG321986-01-21No218 Lbs185 CMNoNoNo2Sans RestrictionPro Only6,960,000$6,960,000$6,960,000$NoLien / Lien NHL
Josh BaileyHoodlumsLW/RW281989-10-02No203 Lbs185 CMNoNoNo3Avec RestrictionPro & Farm6,000,000$6,000,000$6,000,000$NoLien / Lien NHL
Justin SchultzHoodlumsD281990-07-06No193 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm5,500,000$5,500,000$5,500,000$NoLien / Lien NHL
Justin WilliamsHoodlumsRW361981-10-04No188 Lbs185 CMNoNoNo1Sans RestrictionPro Only7,257,600$7,257,600$7,257,600$NoLien / Lien NHL
Marcus SorensenHoodlumsRW261992-04-07No175 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm700,000$700,000$700,000$NoLien
Niklas KronwallHoodlumsD371981-01-12No194 Lbs183 CMNoNoNo0Sans RestrictionPro & Farm0$0$NoLien / Lien NHL
Patrick EavesHoodlumsLW/RW341984-05-01No202 Lbs178 CMNoNoNo0Sans RestrictionPro & Farm0$0$NoLien / Lien NHL
Radko GudasHoodlumsD281990-06-05No204 Lbs183 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Rickard RakellHoodlumsC/LW/RW251993-05-05No198 Lbs188 CMNoNoNo4Avec RestrictionPro & Farm3,800,000$3,800,000$3,800,000$NoLien / Lien NHL
Roman JosiHoodlumsD281990-06-01No201 Lbs185 CMNoNoNo3Avec RestrictionPro & Farm4,000,000$4,000,000$4,000,000$NoLien / Lien NHL
Tim HeedHoodlumsD271991-01-27No185 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm650,000$650,000$650,000$NoLien
Timo MeierHoodlumsRW211996-10-08No215 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm1,644,167$1,644,167$1,644,167$NoLien
Travis SanheimHoodlumsD221996-03-29Yes181 Lbs191 CMNoNoNo1Contrat d'EntréePro & Farm1,263,333$1,263,333$1,263,333$NoLien
Tyler JohnsonHoodlumsC281990-07-29No183 Lbs173 CMNoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$5,000,000$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3128.26197 Lbs183 CM1.813,194,089$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
99,016,766$78,683,333$62,004,166$22,466,666$6,666,666$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1David PastrnakAnze KopitarBrandon Saad40122
2Josh BaileyRickard RakellBrendan Gallagher30122
3Frank VatranoTyler JohnsonTimo Meier20122
4Alexander KerfootDerick BrassardAlexander Wennberg10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roman JosiCam Fowler40122
2Justin SchultzErik Gustafsson30122
3Brandon MontourTravis Sanheim20122
4Roman JosiCam Fowler10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Rickard RakellAnze KopitarAlexander Wennberg60122
2Josh BaileyDerick BrassardDavid Pastrnak40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roman JosiCam Fowler60122
2Justin SchultzBrandon Montour40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Anze KopitarRickard Rakell60122
2Alexander WennbergDerick Brassard40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roman JosiCam Fowler60122
2Justin SchultzBrandon Montour40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Anze Kopitar60122Roman JosiCam Fowler60122
2Rickard Rakell40122Justin SchultzBrandon Montour40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Anze KopitarRickard Rakell60122
2Alexander WennbergDerick Brassard40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roman JosiCam Fowler60122
2Justin SchultzBrandon Montour40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Rickard RakellAnze KopitarAlexander WennbergRoman JosiCam Fowler
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Rickard RakellAnze KopitarAlexander WennbergRoman JosiCam Fowler
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brandon Saad, Tyler Johnson, Brendan GallagherBrandon Saad, Tyler JohnsonBrendan Gallagher
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Erik Gustafsson, Travis Sanheim, Justin SchultzErik GustafssonTravis Sanheim, Justin Schultz
Tirs de Pénalité
Anze Kopitar, Rickard Rakell, Alexander Wennberg, Derick Brassard, Josh Bailey
Gardien
#1 : Jonathan Quick, #2 : Craig Anderson
Lignes d'Attaque Perso. en Prol.
Anze Kopitar, Rickard Rakell, Alexander Wennberg, Derick Brassard, Josh Bailey, David Pastrnak, David Pastrnak, Brandon Saad, Tyler Johnson, Brendan Gallagher, Timo Meier
Lignes de Défense Perso. en Prol.
Roman Josi, Cam Fowler, Justin Schultz, Brandon Montour, Erik Gustafsson


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna70006000300050002000
Prix des Billets100603525200
Assistance0.00%0.00%0.00%0.00%0.00%
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
41 0 - 0.00%0$0$23000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 99,016,766$ 49,530,933$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 24 0

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

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 91,000,049$ 91,000,049$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Dustin BrownAGE:33PO:0OV:93
Rickard RakellAGE:25PO:0OV:91
Josh BaileyAGE:28PO:0OV:88
David PastrnakAGE:22PO:0OV:87
Brandon SaadAGE:25PO:0OV:86
Patrick EavesAGE:34PO:0OV:83
Adrian KempeAGE:22PO:0OV:81
Alexander KerfootAGE:24PO:0OV:80
*Alex IafalloAGE:24PO:0OV:80
Matt MoulsonAGE:34PO:0OV:78
Frank VatranoAGE:24PO:0OV:77
*Dryden HuntAGE:22PO:0OV:70
Anze KopitarAGE:31PO:0OV:98
Rickard RakellAGE:25PO:0OV:91
Alexander WennbergAGE:24PO:0OV:88
Derick BrassardAGE:31PO:0OV:88
Tyler JohnsonAGE:28PO:0OV:85
Danton HeinenAGE:23PO:0OV:81
Adrian KempeAGE:22PO:0OV:81
Alexander KerfootAGE:24PO:0OV:80
*Alex IafalloAGE:24PO:0OV:80
Tim SchallerAGE:27PO:0OV:80
Ryan CarpenterAGE:27PO:0OV:80
Mike RibeiroAGE:38PO:0OV:77
Frank VatranoAGE:24PO:0OV:77
Jonny BrodzinskiAGE:25PO:0OV:77
*Michael AmadioAGE:22PO:0OV:73
*Zach Aston-ReeseAGE:24PO:0OV:73
John QuennevilleAGE:22PO:0OV:72
Frederick GaudreauAGE:25PO:0OV:69
Sean MaloneAGE:23PO:0OV:67
Griffen MolinoAGE:24PO:0OV:65
Justin KloosAGE:24PO:0OV:63
TJ TynanAGE:26PO:0OV:62
Dustin BrownAGE:33PO:0OV:93
Rickard RakellAGE:25PO:0OV:91
Alexander WennbergAGE:24PO:0OV:88
Josh BaileyAGE:28PO:0OV:88
David PastrnakAGE:22PO:0OV:87
Justin WilliamsAGE:36PO:0OV:86
Brandon SaadAGE:25PO:0OV:86
Brendan GallagherAGE:26PO:0OV:84
Patrick EavesAGE:34PO:0OV:83
Timo MeierAGE:21PO:0OV:83
Matt MoulsonAGE:34PO:0OV:78
Drake CaggiulaAGE:24PO:0OV:77
Marcus SorensenAGE:26PO:0OV:74
Ales HemskyAGE:35PO:0OV:71

Défense #1Défense #2Gardien
Roman JosiAGE:28PO:0OV:94
Alec MartinezAGE:31PO:0OV:90
Cam FowlerAGE:26PO:0OV:90
Justin SchultzAGE:28PO:0OV:89
Dennis SeidenbergAGE:37PO:0OV:86
Radko GudasAGE:28PO:0OV:85
Brandon MontourAGE:24PO:0OV:85
Erik GustafssonAGE:26PO:0OV:84
Niklas KronwallAGE:37PO:0OV:84
*Travis SanheimAGE:22PO:0OV:79
Tim HeedAGE:27PO:0OV:78
Nick SchultzAGE:36PO:0OV:78
Brett KulakAGE:24PO:0OV:76
Paul LaDueAGE:26PO:0OV:76
*Christian WolaninAGE:23PO:0OV:73
Evan McEnenyAGE:24PO:0OV:72
*Sami NikuAGE:21PO:0OV:71
Jonathan QuickAGE:32PO:0OV:97
Craig AndersonAGE:37PO:0OV:94
Aaron DellAGE:29PO:0OV:91
Jack CampbellAGE:26PO:0OV:84
Ken ApplebyAGE:23PO:0OV:81

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
Akil ThomasHoodlums201834C-7.0BLien
Alex Barré-BouletHoodlums201869C-4.0BLien
Alexander VolkovHoodlums201847LW-RW-7.0CLien
Allan McshaneHoodlums201852C-6.0BLien
Barrett HaytonHoodlums201812C-9.0BLien
Cale FleuryHoodlums2018116DLien
Calvin PetersenHoodlums2013137G-5.5FLien
Carl GrundstromHoodlums201648AG-7.0DLien
Conor TimminsHoodlums201744D-7.0CLien
David GustafssonHoodlums201854C-7.0BLien
David QuennevilleHoodlums2017103D-4.5DLien
Dmitry SokolovHoodlums201688C-4.5DLien
Emil PetterssonHoodlums201891CLien
Filip GustavssonHoodlums201666G-7.0DLien
Gabriel VilardiHoodlums20178C-8.5CLien
Jack StudnickaHoodlums201867CLien
Jackson HouckHoodlums2013109AD-6.0FLien
Jacob MoverareHoodlums2016111D-6.0DLien
Jaedon DescheneauHoodlums2014114AD-5.5FLien
Joel FarabeeHoodlums201811LW-8.0BLien
Jordy BelleriveHoodlums2018117CLien
Justin KirklandHoodlums201462AG-6.5FLien
Kale ClagueHoodlums201628D-7.0DLien
Kyle WoodHoodlums201777D-6.5FLien
Mackenzie BlackwoodHoodlums201548G-7.0ELien
Markus PhillipsHoodlums2017121D-6.0CLien
Mason AppletonHoodlums201873CLien
Miro AaltonenHoodlums201784C-5.0FLien
Nicolas Aube-KubelHoodlums201466AD-7.0FLien
Niklas NordgrenHoodlums201856RWLien
Philippe MyersHoodlums201686D-4.0ELien
Rasmus KupariHoodlums201818C-8.0BLien
Sam SteelHoodlums201631C-7.5DLien
Sean DurziHoodlums2018103D-7.0BLien
Yakov TreninHoodlums2015133C-7.0ELien
Zack MacewenHoodlums2017102C-4.0CLien

Choix au Repêchage

Année R1R2R3R4R5R6R7
2020HOO HOO RAI LYC TIT PIR HOO BEH TIT HOO BEH HOO
2021HOO HOO HOO HOO
2022HOO HOO HOO HOO HOO HOO
2023HOO HOO HOO HOO HOO HOO HOO
2024HOO HOO HOO HOO HOO HOO HOO






[2019-05-28 19:02:44] TRADE : From Patriots to Hoodlums : Y:2020-RND:5-BEH.
[2019-05-28 18:58:04] Successfully loaded Hoodlums lines done with STHS Client - 3.1.7.7
[2019-05-28 18:58:04] Drake Caggiula of Hoodlums was sent down to farm.
[2019-05-28 18:58:03] Adrian Kempe of Hoodlums was sent down to farm.
[2019-05-28 18:58:03] Paul LaDue of Hoodlums was sent down to farm.
[2019-05-28 18:57:58] John Quenneville of Hoodlums was sent down to farm.
[2019-05-28 18:57:58] Danton Heinen of Hoodlums was sent down to farm.
[2019-05-28 18:57:58] Brett Kulak of Hoodlums was sent down to farm.
[2019-05-28 18:57:58] Jonny Brodzinski of Hoodlums was sent down to farm.



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
201684313609521212208442171904110109991042141705411103109-6622123865982461746612245077881983035244587046416872103617.14%1482980.41%3828160651.56%824158551.99%50798551.47%1867117918756841335674
201784313904622218260-4242181803210115126-1142132101412103134-3162218390608227571668243685274082732243479949017953046220.39%2394382.01%2952176054.09%853155454.89%608102759.20%1955124818116901310660
2017846590432140820820042352030112189412442307013101901147613040874711551614213212892758936979815372465878603171731710031.55%2705181.11%8902175351.45%910172352.81%628118752.91%1888119918866951297648
2018824524073122381914741289021011298643411715052111091054902384276653379688310265590982190430258989663417453176219.56%2935182.59%3895180249.67%905176351.33%50697352.00%1898121117986841251627
Total Saison Régulière334172108024177610768672091679848012432571405166167746001213445054624334410761950302681535734534339102993475335933761349933344321916944114826022.65%95017481.68%163577692151.68%3492662552.71%2249417253.91%760948387372275551952611
Séries
2016201370000062539106400000322661073000003027326621061680019221925951681742322160919799404541425.93%32778.13%020040849.02%22540755.28%14325855.43%432262467169335169
201612840000045252064200000239146420000022166164583128121218141413117157127123731138827834823.53%24387.50%114029048.28%12825749.81%7916448.17%2981962569919999
2017734000002022-232100000972413000001115-4620355500784121669686910223705916031619.35%25484.00%06714845.27%7514751.02%449247.83%162971716411858
20172416800000794930138500000422418118300000372512327914021901331529278925624027617700263144509842023.81%72888.89%230251258.98%26149153.16%15329452.04%563362526196369184
201813760000035341734000002023-364200000151141435619612111112145115013313335443150962895559.09%48687.50%115230849.35%15729952.51%6615143.71%316201322112208105
Total Séries764729000002411835839231600000126893737241300000115942194241425666258274787246476077283795234879348616402585320.54%2012886.07%4861166651.68%846160152.84%48595950.57%1772112017456421231616