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Milwaukee Admirals
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Jaryn | Morale : 40 | Moyenne d’équipe : 67

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJaryn
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison1,200


Informations de la formation

Équipe Pro30
Équipe Mineure19
Limite contact 49 / 250
Espoirs10


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
1Cole Smith0X100.008147797283717663566263726678715540670292500,000$
2Mark Kastelic0X100.008655616587707560786463726275715540670262800,000$
3Pontus Holmberg0X100.006145767573777564696865726675665540670261500,000$
4EMIL PETTERSSON0X100.00563367776760606870716462687676524066N0311250,000$
5MARKUS LJUNGH0X100.00523868746060606870726563688291524066N0341250,000$
6PER ASLUND0X100.00483859726960606748686566679194524066N0381250,000$
7Tyler Pitlick0X100.0087497764727569666468656563817755406603311,500,000$
8Kiefer Sherwood0X100.0076477769587574606964637062797055406503032,184,000$
9Garrett Pilon0X100.005342797268667460665662666470625540630271500,000$
10Jere Innala0X100.005240777261636360605659676276765540620271500,000$
11Parker Wotherspoon0X100.0055447976926977645065617661766955407002721,525,000$
12Trevor van Riemsdyk0X100.005448837479828571507361676181715540690332500,000$
13LASSE LAPPALAINEN0X100.00544575708160606348726374608694524068N0361250,000$
14VILLE LAJUNEN0X100.00544071727860607148726763658894524068N0371250,000$
15Ben Thomas0X100.005342827980687062506061686175675540660291500,000$
16Mike Reilly0X100.006144827461727765506863646177805540660313500,000$
Rayé
1Reilly Smith0X100.0067408177618078716275696871817855407003411,700,000$
2Anze Kopitar0X100.006150715490808469877166626386845540680371950,000$
3Trevor Moore0X100.007748797665807765646867696779745540680303600,000$
4Walker Duehr0X100.008451796685747562556766726476825540680272500,000$
5Cole Bardreau0X100.007540707561686762656463706577585540650312665,000$
6Jonathan Gruden0X100.008145717960657360605661706573665540640251500,000$
7Damon Severson0X100.007356747382848672527563666679805540710303630,000$
8Ian Cole0X100.007656676090798763506659775588845540710362500,000$
9Julius Honka0X100.005440768347656862506461636275585840630294625,000$
10Michael Kapla0X100.005820797655727260505659665863588540630301500,000$
11Anton Lindholm0X100.005115797845565559505659655964598040600301500,000$
MOYENNE D’ÉQUIPE100.00644375727170726459666368637874574066
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
1KARI PIIROINEN0100.00816060767774757777747567565240710241250,000$
2MARKUS RUUSU0100.00816060787472737373727172615240700271250,000$
Rayé
1SAMI RAJANIEMI0100.00766060747373747272737078655240700321250,000$
MOYENNE D’ÉQUIPE100.0079606076757374747473727261524070
Nom de l’entraîneur 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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Anton LindholmMilwaukee Admirals (SJS)D301994-11-29SWENo191 Lbs5 ft11NoNoFree AgentNoNo12025-11-24FalseFalsePro & Farm500,000$166,667$0$0$No---------------------------
Anze Kopitar (contrat à 1 volet)Milwaukee Admirals (SJS)C371987-08-24SVNNo225 Lbs6 ft4NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm950,000$316,667$0$0$No---------------------------Lien
Ben ThomasMilwaukee Admirals (SJS)D291996-05-28CANNo187 Lbs6 ft1NoNoTrade2025-11-13NoNo12025-10-27FalseFalsePro & Farm500,000$166,667$0$0$No---------------------------Lien
Cole BardreauMilwaukee Admirals (SJS)LW311993-07-22USANo185 Lbs5 ft10NoNoTrade2026-03-27NoNo22025-09-30FalseFalsePro & Farm665,000$221,667$0$0$No665,000$--------665,000$--------No--------Lien
Cole SmithMilwaukee Admirals (SJS)LW291995-10-28USANo194 Lbs6 ft3NoNoTrade2026-06-02NoNo22025-09-30FalseFalsePro & Farm500,000$166,667$0$0$No500,000$--------500,000$--------No--------Lien
Damon SeversonMilwaukee Admirals (SJS)D301994-08-07CANNo205 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm630,000$210,000$0$0$No630,000$630,000$-------630,000$630,000$-------NoNo-------Lien
EMIL PETTERSSON (contrat à 1 volet)Milwaukee Admirals (SJS)C311994-01-14SWENo176 Lbs6 ft2YesNoFree AgentNoNo12026-04-20FalseFalseFarm Only250,000$83,333$0$0$No---------------------------Lien
Garrett PilonMilwaukee Admirals (SJS)C271998-04-13CANNo192 Lbs6 ft0NoNoFree AgentNoNo12025-11-24FalseFalsePro & Farm500,000$166,667$0$0$No---------------------------Lien
Ian Cole (contrat à 1 volet)Milwaukee Admirals (SJS)D361989-02-21USANo225 Lbs6 ft1NoNoFree AgentNoNo22025-10-27FalseFalsePro & Farm500,000$166,667$0$0$No500,000$--------500,000$--------No--------Lien
Jere InnalaMilwaukee Admirals (SJS)RW271998-03-17FINNo183 Lbs5 ft9NoNoFree AgentNoNo12025-11-24FalseFalsePro & Farm500,000$166,667$0$0$No---------------------------Lien
Jonathan GrudenMilwaukee Admirals (SJS)LW252000-05-04USANo172 Lbs6 ft0NoNoTrade2025-11-13NoNo12025-10-20FalseFalsePro & Farm500,000$166,667$0$0$No---------------------------Lien
Julius HonkaMilwaukee Admirals (SJS)D291995-12-03FINNo180 Lbs5 ft11NoNoTrade2025-11-13NoNo42025-10-24FalseFalsePro & Farm625,000$208,333$0$0$No625,000$625,000$625,000$------625,000$625,000$625,000$------NoNoNo------
KARI PIIROINEN (contrat à 1 volet)Milwaukee Admirals (SJS)G242001-07-01FINNo176 Lbs6 ft1NoNoFree AgentNoNo12025-11-24FalseFalseFarm Only250,000$83,333$0$0$No---------------------------Lien
Kiefer SherwoodMilwaukee Admirals (SJS)RW301995-03-31USANo194 Lbs6 ft0NoNoFree AgentNoNo32025-10-20FalseFalsePro & Farm2,184,000$728,000$0$0$No2,184,000$2,184,000$-------2,184,000$2,184,000$-------NoNo-------Lien
LASSE LAPPALAINEN (contrat à 1 volet)Milwaukee Admirals (SJS)D361989-06-07FINNo198 Lbs6 ft2YesNoFree AgentNoNo12026-04-20FalseFalseFarm Only250,000$83,333$0$0$No---------------------------Lien
MARKUS LJUNGH (contrat à 1 volet)Milwaukee Admirals (SJS)C341991-01-11SWENo181 Lbs5 ft9YesNoFree AgentNoNo12026-04-20FalseFalseFarm Only250,000$83,333$0$0$No---------------------------Lien
MARKUS RUUSU (contrat à 1 volet)Milwaukee Admirals (SJS)G271997-08-23FINNo176 Lbs6 ft2NoNoFree AgentNoNo12025-11-24FalseFalseFarm Only250,000$83,333$0$0$No---------------------------Lien
Mark KastelicMilwaukee Admirals (SJS)C261999-03-11USANo209 Lbs6 ft4NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm800,000$266,667$0$0$No800,000$--------800,000$--------No--------Lien
Michael KaplaMilwaukee Admirals (SJS)D301994-09-19USANo201 Lbs6 ft0NoNoFree AgentNoNo12025-11-24FalseFalsePro & Farm500,000$166,667$0$0$No---------------------------Lien
Mike ReillyMilwaukee Admirals (SJS)D311993-07-13USANo196 Lbs6 ft1NoNoFree AgentNoNo32025-10-27FalseFalsePro & Farm500,000$166,667$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
PER ASLUND (contrat à 1 volet)Milwaukee Admirals (SJS)LW381986-08-21SWENo183 Lbs6 ft2YesNoFree AgentNoNo12026-04-20FalseFalseFarm Only250,000$83,333$0$0$No---------------------------Lien
Parker WotherspoonMilwaukee Admirals (SJS)D271997-08-24CANNo190 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,525,000$508,333$0$0$No1,525,000$--------1,525,000$--------No--------Lien
Pontus HolmbergMilwaukee Admirals (SJS)LW261999-03-09SWENo187 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$166,667$0$0$No---------------------------Lien
Reilly SmithMilwaukee Admirals (SJS)RW341991-04-01CANNo185 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,700,000$566,667$0$0$No---------------------------Lien
SAMI RAJANIEMI (contrat à 1 volet)Milwaukee Admirals (SJS)G321992-08-20FINNo183 Lbs6 ft0NoNoFree AgentNoNo12025-11-24FalseFalseFarm Only250,000$83,333$0$0$No---------------------------Lien
Trevor MooreMilwaukee Admirals (SJS)LW301995-03-31USANo194 Lbs5 ft10NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm600,000$200,000$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------Lien
Trevor van RiemsdykMilwaukee Admirals (SJS)D331991-07-24USANo192 Lbs6 ft3NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm500,000$166,667$0$0$No500,000$--------500,000$--------No--------Lien
Tyler PitlickMilwaukee Admirals (SJS)RW331991-11-01USANo201 Lbs6 ft2NoNoTrade2025-11-13NoNo12025-09-30FalseFalsePro & Farm1,500,000$500,000$0$0$No---------------------------Lien
VILLE LAJUNEN (contrat à 1 volet)Milwaukee Admirals (SJS)D371988-03-08FINNo194 Lbs6 ft1YesNoFree AgentNoNo12026-04-20FalseFalseFarm Only250,000$83,333$0$0$No---------------------------Lien
Walker DuehrMilwaukee Admirals (SJS)RW271997-11-23USANo209 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$166,667$0$0$No500,000$--------500,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3030.53192 Lbs6 ft11.60639,300$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mark Kastelic40122
2Pontus HolmbergEMIL PETTERSSONTyler Pitlick30122
3Cole SmithMARKUS LJUNGHKiefer Sherwood20122
4PER ASLUNDGarrett PilonJere Innala10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker WotherspoonTrevor van Riemsdyk40122
2VILLE LAJUNENLASSE LAPPALAINEN30122
3Mike ReillyBen Thomas20122
4Parker WotherspoonTrevor van Riemsdyk10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mark Kastelic60122
2Pontus HolmbergEMIL PETTERSSONTyler Pitlick40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker WotherspoonTrevor van Riemsdyk60122
2VILLE LAJUNENLASSE LAPPALAINEN40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Mark KastelicPontus Holmberg40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker WotherspoonTrevor van Riemsdyk60122
2VILLE LAJUNENLASSE LAPPALAINEN40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Parker WotherspoonTrevor van Riemsdyk60122
240122VILLE LAJUNENLASSE LAPPALAINEN40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Mark KastelicPontus Holmberg40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker WotherspoonTrevor van Riemsdyk60122
2VILLE LAJUNENLASSE LAPPALAINEN40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mark KastelicParker WotherspoonTrevor van Riemsdyk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mark KastelicParker WotherspoonTrevor van Riemsdyk
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cole Smith, MARKUS LJUNGH, PER ASLUNDCole Smith, MARKUS LJUNGHPER ASLUND
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mike Reilly, Ben Thomas, VILLE LAJUNENMike ReillyBen Thomas, VILLE LAJUNEN
Tirs de pénalité
, , Mark Kastelic, Pontus Holmberg, Cole Smith
Gardien
#1 : KARI PIIROINEN, #2 : MARKUS RUUSU
Lignes d’attaque personnalisées en prolongation
, , Mark Kastelic, Pontus Holmberg, Cole Smith, EMIL PETTERSSON, MARKUS LJUNGH, Tyler Pitlick, PER ASLUND, Kiefer Sherwood
Lignes de défense personnalisées en prolongation
Parker Wotherspoon, Trevor van Riemsdyk, VILLE LAJUNEN, LASSE LAPPALAINEN, Mike Reilly


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 billets3111
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,572,900$ 0$ 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$ 13 0$ 0$




Milwaukee Admirals 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

Milwaukee Admirals 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

Milwaukee Admirals 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

Milwaukee Admirals 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

Milwaukee Admirals 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