beholdershellpepitosKingspatriots

 

 


Moose

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Nicolas Martine | Morale : 50 | Moyenne d'Équipe : 88
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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
1Ryan Getzlaf0X100.00694455348998509882998077858089061980
2Evgeni Malkin0XXX100.00453752177189459579958672858894033940
3Jeff Carter0XX100.00543674168486558288858873838588077910
4Jack Eichel0X100.00432467106493738376928872754550082900
5Anders Lee0XX100.00764064318879828643818870675347065880
6Boone Jenner0XX100.00864964357178738070838573715358088880
7Matt Duchene0XX100.00453678155387717888858569886469058880
8Anthony Mantha0XX100.00554756258780787546848574684950088870
9Jordan Eberle0X100.00423480314676778546888572896769066870
10Gustav Nyquist0XX100.00461872264484857539858372836357065850
11Jonathan Drouin0XXX100.00483470145883677574878265814947089840
12Paul Byron0XXX100.00764071302974717153838279795849043820
13Shea Weber (C)0X100.00774468349190549028837780658188079940
14Ryan McDonagh0X100.00583470457785659022907385536264074920
15Brent Seabrook0X100.00664069418774768631867372728892088910
16Matt Dumba0X100.00633765404382829235887575685356064900
17Tyler Myers0X100.00514066449276528826907478696154077890
Rayé
1Mikko Koivu0X100.00423458278488657394878089948390077910
2Thomas Vanek0XX100.00393468368166638541878466858177079860
3Lars Eller0XXX100.00623563367371767582868269747771088860
4Jean-Gabriel Pageau0X100.00814267343778827186828281665446050840
5Tyler Bertuzzi0X100.00635449345565797634868172634544078820
6Torrey Mitchell0X100.00584165505454546377797965696451022750
7Dmitry Orlov0X100.00663472466980728621867679676060076890
8Luke Schenn0X100.00894760518961787926797074496565022830
9Kevin Connauton0X100.00744767447454758527817575665246021820
10Nathan Beaulieu0X100.00494964446862668326837262585549050810
MOYENNE D'ÉQUIPE100.0060396633697869825386807473646406587
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
1Marc-Andre Fleury100.0097778886979395989674919999088960
Rayé
1Kari Lehtonen100.0091738492929392929494899288088950
2Casey DeSmith100.0083916976868591868864703447022820
MOYENNE D'ÉQUIPE100.009080808592909392937783757806691
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Sullivan70707070707070USA512450,000$


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
Anders LeeMooseC/LW281990-07-03No231 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm3,750,000$3,750,000$3,750,000$NoLien / Lien NHL
Anthony ManthaMooseLW/RW241994-09-16No225 Lbs196 CMNoNoNo1Avec RestrictionPro & Farm863,333$863,333$863,333$NoLien / Lien NHL
Boone JennerMooseLW/RW251993-06-15No206 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm2,900,000$2,900,000$2,900,000$NoLien / Lien NHL
Brent SeabrookMooseD331985-04-20No220 Lbs191 CMNoNoNo1Sans RestrictionPro Only6,960,000$6,960,000$6,960,000$NoLien / Lien NHL
Casey DeSmithMooseG271991-08-13No181 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm675,000$675,000$675,000$NoLien
Dmitry OrlovMooseD271991-07-23No212 Lbs180 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Evgeni MalkinMooseC/LW/RW321986-07-31No195 Lbs191 CMNoNoNo4Sans RestrictionPro Only11,400,000$11,400,000$11,400,000$NoLien / Lien NHL
Gustav NyquistMooseLW/RW291989-09-01No184 Lbs180 CMNoNoNo2Sans RestrictionPro Only4,750,000$4,750,000$4,750,000$NoLien / Lien NHL
Jack EichelMooseC211996-10-28No206 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm3,775,000$3,775,000$3,775,000$NoLien / Lien NHL
Jean-Gabriel PageauMooseC251992-11-11No184 Lbs178 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Jeff CarterMooseC/RW331985-01-01No217 Lbs191 CMNoNoNo1Sans RestrictionPro Only6,327,272$6,327,272$6,327,272$NoLien / Lien NHL
Jonathan DrouinMooseC/LW/RW231995-03-28No203 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm3,194,000$3,194,000$3,194,000$NoLien / Lien NHL
Jordan EberleMooseRW281990-05-15No187 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm6,000,000$6,000,000$6,000,000$NoLien / Lien NHL
Kari LehtonenMooseG341983-11-16No209 Lbs193 CMNoNoNo0Sans RestrictionPro Only0$0$NoLien / Lien NHL
Kevin ConnautonMooseD281990-02-23No205 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$1,000,000$NoLien / Lien NHL
Lars EllerMooseC/LW/RW291989-05-08No207 Lbs188 CMNoNoNo0Sans RestrictionPro Only0$0$NoLien / Lien NHL
Luke SchennMooseD281989-11-02No229 Lbs188 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Marc-Andre FleuryMooseG331984-11-28No180 Lbs188 CMNoNoNo1Sans RestrictionPro Only6,900,000$6,900,000$6,900,000$NoLien / Lien NHL
Matt DucheneMooseC/RW271991-01-16No195 Lbs180 CMNoNoNo3Avec RestrictionPro & Farm6,000,000$6,000,000$6,000,000$NoLien / Lien NHL
Matt DumbaMooseD241994-07-25No184 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm2,550,000$2,550,000$2,550,000$NoLien / Lien NHL
Mikko KoivuMooseC351983-03-12No215 Lbs191 CMNoNoNo0Sans RestrictionPro Only0$0$NoLien / Lien NHL
Nathan BeaulieuMooseD251992-12-05No200 Lbs188 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Paul ByronMooseC/LW/RW291989-04-27No162 Lbs175 CMNoNoNo1Sans RestrictionPro & Farm1,167,000$1,167,000$1,167,000$NoLien / Lien NHL
Ryan GetzlafMooseC331985-05-10No223 Lbs193 CMNoNoNo3Sans RestrictionPro Only9,900,000$9,900,000$9,900,000$NoLien / Lien NHL
Ryan McDonaghMooseD291989-06-13No215 Lbs185 CMNoNoNo3Sans RestrictionPro Only5,640,000$5,640,000$5,640,000$NoLien / Lien NHL
Shea WeberMooseD331985-08-14No230 Lbs193 CMNoNoNo1Sans RestrictionPro Only7,847,143$7,847,143$7,847,143$NoLien / Lien NHL
Thomas VanekMooseLW/RW341984-01-19No214 Lbs188 CMNoNoNo0Sans RestrictionPro Only0$0$NoLien
Torrey MitchellMooseC331985-01-30No186 Lbs180 CMNoNoNo0Sans RestrictionPro Only0$0$NoLien / Lien NHL
Tyler BertuzziMooseLW231995-02-24No190 Lbs183 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien
Tyler MyersMooseD281990-02-01No229 Lbs203 CMNoNoNo1Avec RestrictionPro & Farm5,500,000$5,500,000$5,500,000$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3028.67204 Lbs188 CM1.133,236,625$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
97,098,748$52,915,000$32,940,000$11,400,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anders LeeRyan Getzlaf29023
2Jack Eichel27023
3Boone JennerMatt Duchene27023
4Anthony Mantha17023
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shea WeberRyan McDonagh36032
2Brent SeabrookTyler Myers31032
327032
4Shea Weber6032
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anders LeeJack Eichel60014
2Boone JennerRyan GetzlafMatt Duchene40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tyler MyersShea Weber55023
2Brent SeabrookRyan McDonagh45023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Boone Jenner60032
240032
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan McDonagh60041
2Shea Weber40041
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160041Shea Weber60140
240041Ryan McDonagh40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Anthony Mantha60023
2Matt Duchene40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan McDonagh60122
2Tyler Myers40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anders LeeJack EichelRyan GetzlafShea WeberRyan McDonagh
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Boone JennerRyan McDonaghShea Weber
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Boone Jenner, Anthony Mantha, Matt DucheneJack Eichel, Anthony Mantha
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan McDonagh, Brent Seabrook, Shea WeberShea WeberTyler Myers, Brent Seabrook
Tirs de Pénalité
Jack Eichel, , Matt Duchene, , Ryan Getzlaf
Gardien
#1 : Marc-Andre Fleury, #2 :
Lignes d'Attaque Perso. en Prol.
, , Jack Eichel, , Ryan Getzlaf, Boone Jenner, Boone Jenner, Anders Lee, Anthony Mantha, ,
Lignes de Défense Perso. en Prol.
Shea Weber, Ryan McDonagh, , Tyler Myers, Brent Seabrook


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$ 97,098,748$ 28,110,477$ 0$ -1,980,000$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 20 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$ 17,866,315$ 17,866,315$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Evgeni MalkinAGE:32PO:0OV:94
Anders LeeAGE:28PO:0OV:88
Boone JennerAGE:25PO:0OV:88
Anthony ManthaAGE:24PO:0OV:87
Thomas VanekAGE:34PO:0OV:86
Lars EllerAGE:29PO:0OV:86
Gustav NyquistAGE:29PO:0OV:85
Jonathan DrouinAGE:23PO:0OV:84
Tyler BertuzziAGE:23PO:0OV:82
Paul ByronAGE:29PO:0OV:82
Beau BennettAGE:26PO:0OV:77
*Michael Dal ColleAGE:22PO:0OV:71
Alexander NylanderAGE:20PO:0OV:69
*Brendan LemieuxAGE:22PO:0OV:69
Matt PuempelAGE:25PO:0OV:69
*Morgan KlimchukAGE:23PO:0OV:63
Ryan GetzlafAGE:33PO:0OV:98
Evgeni MalkinAGE:32PO:0OV:94
Jeff CarterAGE:33PO:0OV:91
Mikko KoivuAGE:35PO:0OV:91
Jack EichelAGE:21PO:0OV:90
Anders LeeAGE:28PO:0OV:88
Matt DucheneAGE:27PO:0OV:88
Lars EllerAGE:29PO:0OV:86
Jean-Gabriel PageauAGE:25PO:0OV:84
Jonathan DrouinAGE:23PO:0OV:84
Paul ByronAGE:29PO:0OV:82
Torrey MitchellAGE:33PO:0OV:75
Lukas SedlakAGE:25PO:0OV:74
*Nicolas RoyAGE:21PO:0OV:69
*Logan BrownAGE:20PO:0OV:66
Evgeni MalkinAGE:32PO:0OV:94
Jeff CarterAGE:33PO:0OV:91
Boone JennerAGE:25PO:0OV:88
Matt DucheneAGE:27PO:0OV:88
Anthony ManthaAGE:24PO:0OV:87
Jordan EberleAGE:28PO:0OV:87
Thomas VanekAGE:34PO:0OV:86
Lars EllerAGE:29PO:0OV:86
Gustav NyquistAGE:29PO:0OV:85
Jonathan DrouinAGE:23PO:0OV:84
Paul ByronAGE:29PO:0OV:82
Beau BennettAGE:26PO:0OV:77
Martin FrkAGE:24PO:0OV:77
Nick LappinAGE:25PO:0OV:73
Alexander NylanderAGE:20PO:0OV:69

Défense #1Défense #2Gardien
Shea WeberAGE:33PO:0OV:94
Ryan McDonaghAGE:29PO:0OV:92
Brent SeabrookAGE:33PO:0OV:91
Matt DumbaAGE:24PO:0OV:90
Dmitry OrlovAGE:27PO:0OV:89
Tyler MyersAGE:28PO:0OV:89
Luke SchennAGE:28PO:0OV:83
*Travis DermottAGE:21PO:0OV:82
Kevin ConnautonAGE:28PO:0OV:82
Nathan BeaulieuAGE:25PO:0OV:81
*Noah JuulsenAGE:21PO:0OV:79
Brett LernoutAGE:23PO:0OV:77
Samuel MorinAGE:23PO:0OV:74
Jordan SchmaltzAGE:24PO:0OV:71
Andreas EnglundAGE:22PO:0OV:70
Marc-Andre FleuryAGE:33PO:0OV:96
Kari LehtonenAGE:34PO:0OV:95
Charlie LindgrenAGE:24PO:0OV:82
Casey DeSmithAGE:27PO:0OV:82

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
Antoine WakedMoose2017107AD-4.0CLien
Connor ChathamMoose201479AD-6.5FLien
Eric CornelMoose201441C-7.0FLien
Francis BeauvillierMoose201294AG-5.0FLien
Henrik BjorklundMoose2009112AD-6.0FLien
Jakub ZborilMoose201518D-8.0ELien
Jansen HarkinsMoose201522C-7.0ELien
Jeremy RoyMoose201519D-7.0ELien
Jordan SubbanMoose201359D-6.0FLien
Julien GauthierMoose201614AD-7.5DLien
Martin RewayMoose2014105AG-6.0FLien
Mason McDonaldMoose2014126G-7.0FLien
Maxim LetunovMoose2015127C-7.0FLien
Nicolas HagueMoose201733D-7.0CLien
Ryan CollinsMoose201486D-7.0FLien
Ryan LindgrenMoose201694D-7.0DLien
Sam CarrickMoose
Samuel MontembeaultMoose201565G-6.5ELien
Scott KosmachukMoose
Trent FredericMoose201657C-7.5DLien
Vadim ShipachyovMooseLien
Vili SaarijarviMoose201641D-6.5ELien

Choix au Repêchage

Année R1R2R3R4R5R6R7
2020MOO MOO MOO
2021MOO MOO MOO MOO MOO
2022MOO MOO MOO MOO MOO MOO
2023MOO MOO MOO MOO MOO MOO MOO
2024MOO MOO MOO MOO MOO MOO MOO



[2019-06-07 22:19:47] - TRADE : From Patriots to Moose : Trent Frederic (P).
[2019-06-07 22:19:47] - TRADE : From Moose to Patriots : Y:2019-RND:3-MOO.
[2019-06-01 13:55:47] - TRADE : From Dissous2 to Moose : Ryan Collins (P).
[2019-06-01 13:52:49] - TRADE : From Dissous2 to Moose : Jordan Subban (P).
[2019-06-01 13:39:58] - TRADE : From Dissous4 to Moose : Mason McDonald (P).
[2019-05-28 22:04:15] - TRADE : From Dissous3 to Moose : Ryan Lindgren (P).



[2019-06-07 22:19:47] TRADE : From Patriots to Moose : Trent Frederic (P).
[2019-06-07 22:19:47] TRADE : From Moose to Patriots : Y:2019-RND:3-MOO.
[2019-06-01 13:55:47] TRADE : From Dissous2 to Moose : Ryan Collins (P).
[2019-06-01 13:52:49] TRADE : From Dissous2 to Moose : Jordan Subban (P).
[2019-06-01 13:39:58] TRADE : From Dissous4 to Moose : Mason McDonald (P).
[2019-05-28 22:04:15] TRADE : From Dissous3 to Moose : Ryan Lindgren (P).
[2019-05-28 21:56:06] TRADE : From Dissous1 to Moose : Paul Byron (82).
[2019-05-28 21:51:32] TRADE : From Dissous4 to Moose : Vili Saarijarvi (P).
[2019-05-28 18:57:32] Michael Dal Colle of Moose was sent down to farm.
[2019-05-23 21:52:53] TRADE : From Dissous5 to Moose : Samuel Morin (74).



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
2016842734081122205236-314216130362210598742112105500100138-385420537357813517767102412763801817452415784106416882203716.82%2655977.74%0911172852.72%912168354.19%577104255.37%1878118918927031328654
201784324103422215247-3242162003111116125-94216210031199122-2364215387602038273557248584583379234244888384017463016220.60%3678177.93%4912175052.11%944174953.97%542105551.37%1886117018757081311649
20178437300106012582362242259061011491014842122104500109135-26742584727302281739410259885585586229242182851918052836322.26%2586076.74%6855175448.75%826168149.14%589107854.64%1893119018797001311651
201882382705723219226-7412211024111181021641161603312101124-23762193976161180627072651896908816452726979100616493185316.67%4177881.29%6969182653.07%1046197053.10%52696654.45%1813113419187011239606
Total Saison Régulière3341341320262868897945-48167795301412454884266216755790121623409519-1102688971629252649294285286341014633593397328715310010347434296888112221519.16%130727878.73%163647705851.67%3728708352.63%2234414153.95%747146867565281451902561
Séries
201611560000033312523000001617-1633000001714310335992201210110330109117921233612112425925936.00%32875.00%010422346.64%11621853.21%6715343.79%2621642459418893
201640400000514-92020000035-22020000029-705101500320010035283611164410877114.29%50100.00%0377450.00%337842.31%224450.00%865090357235
2017514000001320-72020000038-5312000001012-22132336003820158494762015955397222418.18%17476.47%05711748.72%549656.25%286841.18%10868115417638
2017624000001424-1031200000610-431200000814-641425390045501856148760203733412712325.00%17570.59%06011253.57%6513050.00%467660.53%12577142479246
2018139400000413386510000025169743000001617-11841771180010218241712515110833438163174264451328.89%731382.19%013928548.77%16730954.05%7716048.13%29818432311320399
Total Séries39172200000106122-1618810000005356-321912000005366-133410619430020324626211903793913744612524563818091113027.03%1443079.17%039781148.95%43583152.35%24050147.90%882545917333632313