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Moose
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Hugo Guerra | Morale : 50 | Moyenne d'Équipe : 61
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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 SPÂgeContratSalaire
1Brad MaloneX100.00665183628479766164605963627971050630301700,000$
2Austin CzarnikX100.005641886563777664626363596575680506302611,250,000$
3Brendan GaunceX100.00664887638474736264616062637166050630251700,000$
4Hudson FaschingX100.00694681608487895855575961586965050620242737,500$
5Luke JohnsonX100.00563987616876726274605963627166050620252700,000$
6Ross ColtonX100.00645384597688895861595756596764050610231925,000$
7JC LiponX100.00566769607187885855575756607367050600261700,000$
8Nick MoutreyX100.00745087568885835450525358566965050600241650,000$
9Ryan OlsenX100.00595483587587905762555659577166050600251650,000$
10Carter BancksX100.00534986556987885351545456557977050590301650,000$
11Mario FerraroX100.008539786469838163307056655263610466402131,137,500$
12Joe MorrowX100.00664584637477756230605866537568050630261650,000$
13Reece WillcoxX100.00714789578790885630555358457166050610251675,000$
14William BorgenX100.00645186598385755830575660536764050610222925,000$
15Reece ScarlettX100.00544587577185845630555453467367050590261700,000$
Rayé
1Samuel KurkerX100.00664588558169705450535356527166050590251650,000$
MOYENNE D'ÉQUIPE100.0064488460778281595058575956726705061
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
1Garret Sparks100.0075737184747375747375747377050660
2Tom McCollum100.0067706884666567666567667985050620
Rayé
1Adam Wilcox100.0065767472646365646365647581050600
2Filip Larsson100.0061565479605961605961606367050570
MOYENNE D'ÉQUIPE100.006769678066656766656766737805061
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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 Cap 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
Adam WilcoxMoose (WIN)G261992-11-26No189 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Austin CzarnikMoose (WIN)C261992-12-12No170 Lbs5 ft9NoNoNo1Pro & Farm1,250,000$0$0$NoLien / Lien NHL
Brad MaloneMoose (WIN)C301989-05-20No217 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Brendan GaunceMoose (WIN)C251994-03-25No217 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Carter BancksMoose (WIN)RW301989-08-09No181 Lbs5 ft11NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Filip LarssonMoose (WIN)G211998-08-17No194 Lbs6 ft2NoNoNo3Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$Lien
Garret SparksMoose (WIN)G261993-06-28No201 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Hudson FaschingMoose (WIN)RW241995-07-28No204 Lbs6 ft3NoNoNo2Pro & Farm737,500$0$0$No737,500$Lien / Lien NHL
JC LiponMoose (WIN)RW261993-07-10No183 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Joe MorrowMoose (WIN)D261992-12-09No196 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Luke JohnsonMoose (WIN)C251994-09-19No177 Lbs5 ft11NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Mario FerraroMoose (WIN)D211998-09-17No185 Lbs5 ft11NoNoNo3Pro & Farm1,137,500$0$0$No1,137,500$1,137,500$Lien
Nick MoutreyMoose (WIN)LW241995-06-24No222 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Reece ScarlettMoose (WIN)D261993-03-31No168 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Reece WillcoxMoose (WIN)D251994-03-20No205 Lbs6 ft4NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Ross ColtonMoose (WIN)C231996-09-11No209 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Ryan OlsenMoose (WIN)C251994-03-25No187 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Samuel KurkerMoose (WIN)RW251994-04-08No202 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Tom McCollumMoose (WIN)G291989-12-07No220 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
William BorgenMoose (WIN)D221996-12-19No198 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2025.25196 Lbs6 ft11.35777,500$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nick MoutreyHudson Fasching30122
2Brendan GaunceBrad MaloneJC Lipon30122
3Luke JohnsonAustin CzarnikCarter Bancks25122
4Brendan GaunceBrad Malone15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joe Morrow30122
2William BorgenReece Willcox30122
3Reece ScarlettRoss Colton25122
4Joe Morrow15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nick MoutreyHudson Fasching60122
2Brendan GaunceBrad MaloneJC Lipon40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joe Morrow60122
2William BorgenReece Willcox40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brad Malone60122
2Austin CzarnikBrendan Gaunce40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joe Morrow60122
2William BorgenReece Willcox40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Joe Morrow60122
2Brad Malone40122William BorgenReece Willcox40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brad Malone60122
2Austin CzarnikBrendan Gaunce40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joe Morrow60122
2William BorgenReece Willcox40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nick MoutreyHudson FaschingJoe Morrow
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nick MoutreyHudson FaschingJoe Morrow
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Luke Johnson, Ross Colton, Carter BancksLuke Johnson, Ross ColtonCarter Bancks
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Reece Scarlett, William Borgen, Reece WillcoxReece ScarlettWilliam Borgen, Reece Willcox
Tirs de Pénalité
, Brad Malone, Austin Czarnik, Brendan Gaunce, Hudson Fasching
Gardien
#1 : Garret Sparks, #2 : Tom McCollum


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
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,555,000$ 377,500$ 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$ 8 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
Saison Régulière
282432304345307239684126901221165112534117140312414212715863075368431311010485142944947103394054228068784414433908922.82%3185582.70%81606293454.74%1304250152.14%739135254.66%2079145618536071050532
382126001342236411-1754182901111121208-874143100231115203-88242363555913010173571030201061984952443728100271515033695615.18%2869267.83%01269286444.31%1122260443.09%619142643.41%180913022205584945434
482116300062185442-2574182700042102207-105413360002083235-1522218533251711775844102247762735722514238122497316734595712.42%38511270.91%0817237034.47%960317930.20%404134729.99%14039072594639962411
582175701412241388-1474192601311119184-654183100101122204-82342414026432110165734256187884182624307683745519702205123.18%2096767.94%11115259542.97%822222936.88%600139942.89%196314051989545996494
682333501535314318-441161800322158169-114117170121315614976631455787112136103716337110831090117350351296246621832314419.05%2014975.62%31390295347.07%1329304743.62%633139545.38%1937137720195711009499
78287100102197513-3164163300101106250-144412380000191263-172161973245211073646002667864918880124397139239122141702615.29%1816663.54%0987268936.71%943280833.58%536147436.36%166711622295553968445
882126700120257596-3394183200100128283-1554143500020129313-1842425742568210113826033328115210751083244870138026019381603421.25%1064656.60%0993265537.40%952283633.57%590159536.99%163711812359536934421
882126700120257596-3394183200100128283-1554143500020129313-1842425742568210113826033328115210751083244870138026019381603421.25%1064656.60%0993265537.40%952283633.57%590159536.99%163711812359536934421
982314501032297387-9041162300011149183-3441152201021148204-567229752982624124898063239109510651063323926113139318671724425.58%1664374.10%21511291751.80%1474314446.88%666147345.21%178612682160560998476
Total Saison Régulière7381794880818252022913890-1599369105229031211911761879-70336974259056141111152011-89636822913885617613119487205905626705899488168722315348979995475716729233143518.66%195857670.58%14106812463243.36%98582518439.14%53771305641.18%159231124219838513687994138
Séries
2514000001120-92020000029-731200000911-2211213200623015452465601595460882328.70%22863.64%08615954.09%7114947.65%397750.65%11077127356230
Total Séries514000001120-92020000029-731200000911-2211213200623015452465601595460882328.70%22863.64%08615954.09%7114947.65%397750.65%11077127356230