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Moose
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Eric Pilon | Morale : 50 | Moyenne d’équipe : 64
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralEric Pilon
EntraîneurRick Tocchet
DivisionDivision Sud-Est
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2Andrei Mironov


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure16
Limite contact 40 / 55
Espoirs39


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique36-36-15 (0.414%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


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 SPÂgeContratSalaire
1Ryan LombergXX100.0074617575687892727069737170625256506602921,500,000$
2Valentin ZykovXX100.0061468971737479687071696967665655506502911,500,000$
3Mason ShawX100.007171827267748672777471736753476050650252900,000$
4Joakim NygardXX100.0061458972676779666868696570685445506303111,200,000$
5Nils LundkvistX100.006645877370788675457371746458466850670232900,000$
6Brendan GuhleX100.006544867270707364456565725455486050630261750,000$
7Anton LindholmX100.0063449371706879694567647263554556506302911,100,000$
Rayé
1Daniel SprongXX100.0063459279717185746772756768704864516702722,000,000$
2Pavel KraskovskyX100.0077676972707576707173707068605357506502711,200,000$
3Anthony RichardXX100.0074457172677674707069726663595457506502721,300,000$
4Rasmus Kupari (R)X100.006745928471697369716361725560457050640243900,000$
5Nick SorensenXX100.0061478572725972676366666462725653506302931,000,000$
6Lias AnderssonXX100.006245867269727268696969636058456050630252750,000$
7Stefan MatteauX100.0082596968756374637364657262695349506303021,000,000$
8Julius NattinenX100.007045827270727167756964715956495750630272900,000$
9Jeremy BraccoXX100.006145917268647365676763656259516050620272800,000$
10Vladimir TkachyovXX100.006045827266656965586966616459515450610282700,000$
11Phil VaroneXX100.0063448870656968656464676668595043506103311,000,000$
12Andrei Mironov (A)X100.0068458171727478754571647754685852506702932,500,000$
13Chad KrysX100.006752877068686760456263705750486050610261750,000$
14James GreenwayX100.007248787274706656455858665749486050600261750,000$
MOYENNE D’ÉQUIPE100.00674984737070766862686769636050575064
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 SPÂgeContratSalaire
1Dylan Wells100.00848479797980817981857949526050650262750,000$
Rayé
1Spencer Martin100.008488818078777976767585617154506502831,500,000$
2Felix Sandstrom100.00858673797873787373728053655750630271750,000$
MOYENNE D’ÉQUIPE100.0084867879787779767777815463575064
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Tocchet88827159999945CAN594100,000$


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
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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Andrei MironovMoose (Win)D291994-07-29No194 Lbs6 ft3NoNoN/ANoNo32024-04-29Pro & Farm2,500,000$0$0$No2,500,000$2,500,000$-------NoNo-------Lien
Anthony RichardMoose (Win)LW/RW271996-12-20No176 Lbs5 ft10NoNoN/ANoNo22024-04-29Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Anton LindholmMoose (Win)D291994-11-29No191 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,100,000$0$0$No------------------Lien
Brendan GuhleMoose (Win)D261997-07-29No197 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Chad KrysMoose (Win)D261998-04-10No185 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Daniel SprongMoose (Win)LW/RW271997-03-17No180 Lbs6 ft0NoNoTrade2024-04-29NoNo22024-04-29Pro & Farm2,000,000$0$0$No2,000,000$--------No--------Lien
Dylan WellsMoose (Win)G261998-01-03No190 Lbs6 ft2NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Felix SandstromMoose (Win)G271997-01-12No191 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
James GreenwayMoose (Win)D261998-04-27No211 Lbs6 ft5NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Jeremy BraccoMoose (Win)LW/RW271997-03-17No185 Lbs5 ft11NoNoN/ANoNo22024-04-29Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Joakim NygardMoose (Win)LW/RW311993-01-08No179 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,200,000$0$0$No------------------Lien
Julius NattinenMoose (Win)C271997-01-14No192 Lbs6 ft2NoNoN/ANoNo22024-04-29Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Lias AnderssonMoose (Win)LW/RW251998-10-13No185 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Mason ShawMoose (Win)C251998-11-03No184 Lbs5 ft10NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Nick SorensenMoose (Win)LW/RW291994-10-23No182 Lbs6 ft1NoNoN/ANoNo32024-04-29Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Nils LundkvistMoose (Win)D232000-07-27No190 Lbs5 ft11NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Pavel KraskovskyMoose (Win)C271996-09-11No185 Lbs6 ft4NoNoN/ANoNo12024-04-29Pro & Farm1,200,000$0$0$No------------------Lien
Phil VaroneMoose (Win)LW/RW331990-12-04No169 Lbs5 ft8NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Rasmus KupariMoose (Win)C242000-03-15Yes201 Lbs6 ft2NoNoTrade (Prospect)NoNo32024-04-29Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Ryan LombergMoose (Win)LW/RW291994-12-09No187 Lbs5 ft9NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------Lien
Spencer MartinMoose (Win)G281995-06-08No205 Lbs6 ft3NoNoN/ANoNo32024-04-29Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------Lien
Stefan MatteauMoose (Win)C301994-02-23No220 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Valentin ZykovMoose (Win)LW/RW291995-05-15No220 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Vladimir TkachyovMoose (Win)LW/RW281995-10-05No141 Lbs5 ft9NoNoN/ANoNo22024-04-29Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2427.42189 Lbs6 ft11.791,100,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan LombergMason Shaw35122
230122
3Valentin ZykovJoakim Nygard25122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nils Lundkvist35041
2Brendan Guhle35041
3Anton Lindholm30041
4Nils Lundkvist0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan LombergMason Shaw50014
250014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nils Lundkvist65014
2Brendan Guhle35014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan Lomberg50041
2Mason Shaw50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nils LundkvistAnton Lindholm50140
250140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150041Nils LundkvistAnton Lindholm50050
2Mason Shaw5004150050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150023
250023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nils Lundkvist50041
250041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan LombergNils Lundkvist
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan Lomberg
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Joakim NygardRyan Lomberg,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Nils Lundkvist, , Anton Lindholm
Tirs de pénalité
, Valentin Zykov, Ryan Lomberg, , Joakim Nygard
Gardien
#1 : Dylan Wells, #2 :


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
TotalDomicileVisiteur
# 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%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
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%000%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%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs 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 2
Capacité20001000
Prix des billets3015
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,640,000$ 2,640,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Moose Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Yegor Chinakhov8021527351847982608.08%16146918.37516215600003446.67%00.99312
2Andrei Mironov8222517318561177613915.83%99183722.4112820800000310%00.7900
3Mason Shaw791945645641011642109.05%18157619.95316194103342151.69%00.8115
4Ryan Lomberg8134245813331208320616.50%15135416.7257122120280353.60%30.86314
5Nils Lundkvist78113849-34277761616.83%108180623.167714810111010%00.5402

Moose Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Spencer Martin62272250.8833.3732412218215530300.75641
2Dylan Wells278940.9102.60133802586420000.64717
3Felix Sandstrom91510.8444.6241600322050000.6005

Moose Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
1582253606159261281-2041151703114127132-541101903045134149-158226146072104928177212543851822821114240068767913422645821.97%2706277.04%61470283051.94%1416280150.55%750140153.53%1997137119146151092549
Total Saison régulière82253606159261281-2041151703114127132-541101903045134149-158226146072104928177212543851822821114240068767913422645821.97%2706277.04%61470283051.94%1416280150.55%750140153.53%1997137119146151092549
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Moose Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Moose Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA