Moose
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Pascal Verret | Morale : 40 | Moyenne d'Équipe : 63
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Jordan Martinook (R)X100.008255707580737877637672686254504540720241900,000$
2Miro Aaltonen (R)X100.0069298187747566797177736276535043407202311,250,000$
3Frank Vatrano (R)X100.008845697774667876627565696550486040700221500,000$
4Andrew Mangiapane (R)X100.006437745686687567717384567648425925680201500,000$
5Nathan Walker (R)X100.006831707569766676707370617346485540680222750,000$
6Nicolas Petan (R)X100.006436796668726671817666546045445640660211525,000$
7Nikolay Goldobin (R)X100.006137807366675478616867657742426140660202750,000$
8Chase De Leo (R)X100.006230796761666963667871475843436335640202750,000$
9Oskar Lindblom (R)X100.006944776658676669716269516742426040630202500,000$
10Trevor Moore (R)X100.006850786856706661746367547146466540630212500,000$
11Jeremy Bracco (R)X100.005431726253656970817864415441416340620191500,000$
12Michael McLeod (R)X100.004537698053574580566167587140407240620182500,000$
13Rem Pitlick (R)X100.005529657959685177696056557042427340620192500,000$
14Julien Gauthier (R)X100.006028755372585863576772465943416340600192500,000$
15Troy Stetcher (R)X100.006532758871567682428857735255465540710221500,000$
16Mirco Mueller (R)X100.006922816971737369537260805350445440700211700,000$
17Ludwig Bystrom (R)X100.006923767668667275467155755553444540690221600,000$
18Vladislav Gavrikov (R)X100.006745826368706567557360735853465840680211500,000$
19Erik Cernak (R)X100.007435666377795549326758714343427040650191500,000$
20Matthew Benning (R)X100.006522786664696362466757695146465040640221400,000$
21Jesse Graham (R)X100.005440707764576666466857694644444440630221450,000$
22Sami Niku (R)X100.005137637553587370316961543444435640610201500,000$
Rayé
1Carl Grundstrom (R)X100.006552815762676159605760596341438040600192500,000$
2Mitchell Stephens (R)X100.004725886864776246696256594441416740580191500,000$
3Pierre-Luc Dubois (R)X100.007036665682537356456858584340408640580182500,000$
4Nathan Bastian (R)X100.004738715559695964776257475741435940580192500,000$
5Max Jones (R)X100.006539656367507158456456524340406940570182500,000$
6David Kase (R)X100.006030585653556356595762426141415540550191500,000$
7Tim Gettinger (R)X100.005427634758565359495660296340406840520182500,000$
8Josh Mahura (R)X100.004934736952535673236550593640406740580182500,000$
MOYENNE D'ÉQUIPE100.00633573686565656758686359584543613964
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
1Magnus Hellberg100.00776469797669707575727864583440720
Rayé
1Joey Daccord100.00646564454872725150655143426240580
2Filip Gustavsson (R)100.00586269574673745046735840408240580
3Emil Larmi (R)100.00665166435372725546675840408340580
MOYENNE D'ÉQUIPE100.0066616756567272585469614745654062
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Adams Oates53568572375954CAN522950,000$


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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Andrew MangiapaneMoose (Win)LW201996-01-01Yes184 Lbs5 ft10NoNoNo1Pro & Farm500,000$500,000$0$0$No
Carl GrundstromMoose (Win)RW191997-01-01Yes194 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Chase De LeoMoose (Win)C201996-01-01Yes179 Lbs5 ft9NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$
David KaseMoose (Win)RW191997-01-01Yes169 Lbs5 ft11NoNoNo1Pro & Farm500,000$500,000$0$0$No
Emil LarmiMoose (Win)G201996-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Erik CernakMoose (Win)D191997-01-01Yes233 Lbs6 ft3NoNoNo1Pro & Farm500,000$500,000$0$0$No
Filip GustavssonMoose (Win)G181998-01-01Yes183 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Frank VatranoMoose (Win)RW221994-01-01Yes197 Lbs5 ft11NoNoNo1Pro & Farm500,000$500,000$0$0$No
Jeremy BraccoMoose (Win)RW191997-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$500,000$0$0$No
Jesse GrahamMoose (Win)D221994-01-01Yes170 Lbs5 ft11NoNoNo1Pro & Farm450,000$450,000$0$0$No
Joey DaccordMoose (Win)G201996-01-01No197 Lbs6 ft2NoNoNo2Pro & Farm550,000$550,000$0$0$No600,000$
Jordan MartinookMoose (Win)LW241992-01-01Yes202 Lbs5 ft11NoNoNo1Pro & Farm900,000$900,000$0$0$No
Josh MahuraMoose (Win)D181998-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Julien GauthierMoose (Win)RW191997-01-01Yes227 Lbs6 ft4NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Ludwig BystromMoose (Win)D221994-01-01Yes169 Lbs6 ft0NoNoNo1Pro & Farm600,000$600,000$0$0$No
Magnus HellbergMoose (Win)G251991-01-01No185 Lbs6 ft5NoNoNo1Pro & Farm950,000$950,000$0$0$No
Matthew BenningMoose (Win)D221994-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm400,000$400,000$0$0$No
Max JonesMoose (Win)LW181998-01-01Yes220 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Michael McLeodMoose (Win)C181998-01-01Yes187 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Mirco MuellerMoose (Win)D211995-01-01Yes185 Lbs6 ft4NoNoNo1Pro & Farm700,000$700,000$0$0$No
Miro AaltonenMoose (Win)C231993-01-01Yes185 Lbs5 ft10NoNoNo1Pro & Farm1,250,000$1,250,000$0$0$No
Mitchell StephensMoose (Win)C191997-01-01Yes193 Lbs5 ft11NoNoNo1Pro & Farm500,000$500,000$0$0$No
Nathan BastianMoose (Win)RW191997-01-01Yes205 Lbs6 ft4NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Nathan WalkerMoose (Win)LW221994-01-01Yes186 Lbs5 ft9NoNoNo2Pro & Farm750,000$750,000$0$0$No850,000$
Nicolas PetanMoose (Win)C211995-01-01Yes185 Lbs5 ft9NoNoNo1Pro & Farm525,000$525,000$0$0$No
Nikolay GoldobinMoose (Win)RW201996-01-01Yes196 Lbs5 ft11NoNoNo2Pro & Farm750,000$750,000$0$0$No850,000$
Oskar LindblomMoose (Win)LW201996-01-01Yes191 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Pierre-Luc DuboisMoose (Win)LW181998-01-01Yes218 Lbs6 ft3NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Rem PitlickMoose (Win)C191997-01-01Yes196 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Sami NikuMoose (Win)D201996-01-01Yes176 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$No
Tim GettingerMoose (Win)LW181998-01-01Yes220 Lbs6 ft6NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Trevor MooreMoose (Win)C211995-01-01Yes174 Lbs5 ft10NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Troy StetcherMoose (Win)D221994-01-01Yes186 Lbs5 ft10NoNoNo1Pro & Farm500,000$500,000$0$0$No
Vladislav GavrikovMoose (Win)D211995-01-01Yes213 Lbs6 ft3NoNoNo1Pro & Farm500,000$500,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3420.24192 Lbs6 ft01.50575,735$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
Gardien
#1 : , #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
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 2
Capacité20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,957,500$ 1,692,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

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




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