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MILWAUKEE Admirals
GP: 4 | W: 0 | L: 4
GF: 11 | GA: 55 | PP%: 35.71% | PK%: 0.00%
DG: Maxime Vachon | Morale : 36 | Moyenne d’équipe : 62

Centre de jeu
ONTARIO Reign
7-4-0, 14pts
12
FINAL
4 MILWAUKEE Admirals
0-4-0, 0pts
Team Stats
OTL1SéquenceL4
4-2-0Fiche domicile0-2-0
3-2-0Fiche domicile0-2-0
6-1-3Derniers 10 matchs0-4-0
7.36Buts par match 2.75
3.00Buts contre par match 13.75
56.25%Pourcentage en avantage numérique35.71%
58.82%Pourcentage en désavantage numérique0.00%
ONTARIO Reign
7-4-0, 14pts
16
FINAL
2 MILWAUKEE Admirals
0-4-0, 0pts
Team Stats
OTL1SéquenceL4
4-2-0Fiche domicile0-2-0
3-2-0Fiche domicile0-2-0
6-1-3Derniers 10 matchs0-4-0
7.36Buts par match 2.75
3.00Buts contre par match 13.75
56.25%Pourcentage en avantage numérique35.71%
58.82%Pourcentage en désavantage numérique0.00%
Meneurs d'équipe
Zach SanfordButs
Zach Sanford
3
Dylan GambrellPasses
Dylan Gambrell
4
Dylan GambrellPoints
Dylan Gambrell
4
Connor MackeyPlus/Moins
Connor Mackey
-8

Statistiques d’équipe
Buts pour
11
2.75 GFG
Tirs pour
120
30.00 Avg
Pourcentage en avantage numérique
35.7%
5 GF
Début de zone offensive
43.9%
Buts contre
55
13.75 GAA
Tirs contre
112
28.00 Avg
Pourcentage en désavantage numérique
0.0%%
2 GA
Début de la zone défensive
18.7%
Informations de l'équipe

Directeur généralMaxime Vachon
EntraîneurKevin Dineen
DivisionCentrale
ConférenceOUEST
Capitaine
Assistant #1Alexander Yelesin
Assistant #2Connor Mackey


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure20
Limite contact 51 / 80
Espoirs37


Historique d'équipe

Saison actuelle0-4
Historique203-108-18 (0.617%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)6 - 16 (0.273%)
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
1Nicholas RobertsonX100.00684184827379737346686967756254079690232876,000$
2Zach SanfordXX100.00654575677877766655656063647364067650302880,000$
3Dylan GambrellX100.00634574706775746655636062656356079640282852,500$
4Mike VecchioneXX100.00584568686171716545636063646557081630312852,500$
5Michael SpacekX100.00613593607187825869596156626764080630271852,500$
6Sebastian RepoXXX100.00643675618676715955586056616965077620281852,500$
7Anders BjorkXX100.00574274666467666242615656615651077600281852,500$
8Shane GersichX100.00584769706167666242605560625451079600281852,500$
9Nathan SmithX100.00594468666468646354615754625350063600262852,500$
10Brayden TraceyX100.00584367666364636143615556615150063590231950,000$
11Alexander Yelesin (A)X100.00823595617385786030595664536971081670281852,500$
12Connor Mackey (A)X100.00646057696973676340585768635651082640281912,500$
13Jeremy DaviesX100.00564858726168666640616267665550083630283852,500$
Rayé
1Jonatan BerggrenXX100.006246707369706570456866617052500696502421,017,500$
2Pavol RegendaXX100.00654461637064636342595958625250076600252940,500$
3William Stromgren (R)X100.00624169636462616142625659605050031590212900,833$
4Hudson ElynuikXXX100.00624764606766656042595456585350021580271852,500$
5Carter Savoie (R)X100.00604171666263616041565557605050021580222925,000$
6Oskar Olausson (R)X100.00604169656359576142555653615050021570222894,167$
7David CottonX100.00574571626464625752525353575350021560271852,500$
8Pavel Novak (R)X100.00604067636259585740555556585050021560221846,667$
9Eetu TuulolaX100.00585453546158555340525253535250021530261852,500$
10Travis HamonicX100.007046687779869074406866797289790727503411,900,000$
11Colin MillerX100.007346757479858574406967747282720807303241,650,000$
12Ty Emberson (R)X100.00684377727577646740655969665250068660241750,000$
13Ty SmithX100.00564369726266646740655966665250020620241950,000$
14Vladislav KolyachonokX100.00644571696765616240555866635150020610232868,000$
15Robin SaloX100.00574272676467646340615462615350020600262880,000$
16Markus PhillipsX100.00564954595757545240515158535150021540251852,500$
MOYENNE D’ÉQUIPE100.0062447067677067634460586162585505562
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
Rayé
1Calvin Pickard100.00787980757978767877797177700667103241,100,000$
2Dustin Wolf100.0079707265747574767675675551083670232895,000$
MOYENNE D’ÉQUIPE100.007975767077777577777769666107569
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Dineen7667697465601CAN602800,000$


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
1Dylan GambrellMILWAUKEE Admirals (NSH)C4044-1800497660%18320.8702219000000051.26%11941000.9600000000
2Zach SanfordMILWAUKEE Admirals (NSH)LW/RW4314-19559393233.33%68721.7711219000000062.50%821000.9200010000
3Nicholas RobertsonMILWAUKEE Admirals (NSH)LW4224-250081119101710.53%510325.8211259000000033.33%976000.7700000000
4Michael SpacekMILWAUKEE Admirals (NSH)C4123-190056167126.25%38220.6700000000000046.67%1532000.7300000000
5Shane GersichMILWAUKEE Admirals (NSH)LW4213-1020103117518.18%16015.19000000000000100.00%161000.9900000000
6Sebastian RepoMILWAUKEE Admirals (NSH)C/LW/RW4033-16003711390%28020.0302212000000054.17%2440000.7500000000
7Alexander YelesinMILWAUKEE Admirals (NSH)D4011-29559129460%1111228.080000000000000%022000.1800100000
8Anders BjorkMILWAUKEE Admirals (NSH)LW/RW4011-15552104280%67619.150000000000000%010000.2600001000
9Jeremy DaviesMILWAUKEE Admirals (NSH)D4011-142210333210%48421.08000000000000100.00%101000.2400200000
10Mike VecchioneMILWAUKEE Admirals (NSH)C/RW4101-1855813171095.88%28120.48101411000000035.82%6751000.2400001000
11Connor MackeyMILWAUKEE Admirals (NSH)D4000-855424000%24812.100000000000000%00200000100000
Statistiques d’équipe totales ou en moyenne4491625-1914935657911054758.18%4390020.483691241000000047.13%2443417000.5500412000
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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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
Alexander YelesinMILWAUKEE Admirals (NSH)D281996-02-07RUSNo195 Lbs6 ft0NoNoN/ANoNo12024-11-17FalseFalsePro & Farm852,500$17,398$0$0$No---------------------------Lien
Anders BjorkMILWAUKEE Admirals (NSH)LW/RW281996-08-05USANo190 Lbs6 ft0NoNoN/ANoNo12024-11-17FalseFalsePro & Farm852,500$17,398$0$0$No---------------------------Lien NHL
Brayden TraceyMILWAUKEE Admirals (NSH)LW232001-05-28CANNo186 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm950,000$19,388$0$0$No---------------------------Lien NHL
Calvin PickardMILWAUKEE Admirals (NSH)G321992-04-15CANNo206 Lbs6 ft1NoNoFree AgentNoNo42024-12-15FalseFalsePro & Farm1,100,000$22,449$0$0$No1,100,000$1,100,000$1,100,000$------1,100,000$1,100,000$1,100,000$------NoNoNo------Lien NHL
Carter SavoieMILWAUKEE Admirals (NSH)LW222002-01-23CANYes185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm925,000$18,878$0$0$No925,000$--------925,000$--------No--------
Colin MillerMILWAUKEE Admirals (NSH)D321992-10-29CANNo200 Lbs6 ft1NoNoFree AgentNoNo42024-12-15FalseFalsePro & Farm1,650,000$33,673$0$0$No1,650,000$1,650,000$1,650,000$------1,650,000$1,650,000$1,650,000$------NoNoNo------Lien NHL
Connor MackeyMILWAUKEE Admirals (NSH)D281996-09-12USANo195 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm912,500$18,622$0$0$No---------------------------Lien NHL
David CottonMILWAUKEE Admirals (NSH)C271997-07-09USANo190 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm852,500$17,398$0$0$No---------------------------Lien NHL
Dustin WolfMILWAUKEE Admirals (NSH)G232001-04-16USANo166 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm895,000$18,265$0$0$No895,000$--------895,000$--------No--------Lien NHL
Dylan GambrellMILWAUKEE Admirals (NSH)C281996-08-26USANo185 Lbs6 ft0NoNoTrade2024-01-21NoNo2FalseFalsePro & Farm852,500$17,398$0$0$No852,500$--------852,500$--------No--------Lien NHL
Eetu TuulolaMILWAUKEE Admirals (NSH)RW261998-03-17FINNo227 Lbs6 ft3NoNoN/ANoNo12024-11-17FalseFalsePro & Farm852,500$17,398$0$0$No---------------------------Lien NHL
Hudson ElynuikMILWAUKEE Admirals (NSH)C/LW/RW271997-10-12CANNo207 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm852,500$17,398$0$0$No---------------------------Lien NHL
Jeremy DaviesMILWAUKEE Admirals (NSH)D281996-12-04CANNo185 Lbs5 ft11NoNoN/ANoNo32024-11-17FalseFalsePro & Farm852,500$17,398$0$0$No852,500$852,500$-------852,500$852,500$-------NoNo-------Lien NHL
Jonatan BerggrenMILWAUKEE Admirals (NSH)LW/RW242000-07-16SWENo195 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,017,500$20,765$0$0$No1,017,500$--------1,017,500$--------No--------Lien NHL
Markus PhillipsMILWAUKEE Admirals (NSH)D251999-03-21CANNo207 Lbs6 ft0NoNoN/ANoNo12024-11-17FalseFalsePro & Farm852,500$17,398$0$0$No---------------------------Lien NHL
Michael SpacekMILWAUKEE Admirals (NSH)C271997-04-09CZENo187 Lbs5 ft11NoNoN/ANoNo12024-11-17FalseFalsePro & Farm852,500$17,398$0$0$No---------------------------Lien
Mike VecchioneMILWAUKEE Admirals (NSH)C/RW311993-02-25USANo193 Lbs5 ft10NoNoFree AgentNoNo22024-01-21FalseFalsePro & Farm852,500$17,398$0$0$No852,500$--------852,500$--------No--------Lien NHL
Nathan SmithMILWAUKEE Admirals (NSH)C261998-10-19USANo198 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm852,500$17,398$0$0$No852,500$--------852,500$--------No--------Lien NHL
Nicholas RobertsonMILWAUKEE Admirals (NSH)LW232001-09-11USANo178 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm876,000$17,878$0$0$No876,000$--------876,000$--------No--------Lien NHL
Oskar OlaussonMILWAUKEE Admirals (NSH)RW222002-11-10SWEYes181 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm894,167$18,248$0$0$No894,167$--------894,167$--------No--------
Pavel NovakMILWAUKEE Admirals (NSH)RW222002-04-16CZEYes183 Lbs5 ft10NoNoProspectNoNo12024-08-20FalseFalsePro & Farm846,667$17,279$0$0$No---------------------------
Pavol RegendaMILWAUKEE Admirals (NSH)LW/RW251999-11-07SLVNo219 Lbs6 ft3NoNoFree AgentNoNo22024-01-16FalseFalsePro & Farm940,500$19,194$0$0$No940,500$--------940,500$--------No--------
Robin SaloMILWAUKEE Admirals (NSH)D261998-10-13FINNo185 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm880,000$17,959$0$0$No880,000$--------880,000$--------No--------Lien NHL
Sebastian RepoMILWAUKEE Admirals (NSH)C/LW/RW281996-06-23FINNo211 Lbs6 ft3NoNoN/ANoNo12024-11-17FalseFalsePro & Farm852,500$17,398$0$0$No---------------------------Lien
Shane GersichMILWAUKEE Admirals (NSH)LW281996-07-10USANo181 Lbs5 ft11NoNoN/ANoNo12024-11-17FalseFalsePro & Farm852,500$17,398$0$0$No---------------------------Lien NHL
Travis HamonicMILWAUKEE Admirals (NSH)D341990-08-16CANNo200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,900,000$38,776$0$0$No---------------------------Lien NHL
Ty EmbersonMILWAUKEE Admirals (NSH)D242000-05-23USAYes193 Lbs6 ft2NoNoTrade2025-01-15NoNo12024-09-16FalseFalsePro & Farm750,000$15,306$0$0$No---------------------------Lien NHL
Ty SmithMILWAUKEE Admirals (NSH)D242000-03-24CANNo180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm950,000$19,388$0$0$No---------------------------Lien NHL
Vladislav KolyachonokMILWAUKEE Admirals (NSH)D232001-05-26BELNo203 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm868,000$17,714$0$0$No868,000$--------868,000$--------No--------Lien NHL
William StromgrenMILWAUKEE Admirals (NSH)LW212003-06-07SWEYes195 Lbs6 ft3NoNoProspectNoNo2FalseFalsePro & Farm900,833$18,384$0$0$No900,833$--------900,833$--------No--------
Zach SanfordMILWAUKEE Admirals (NSH)LW/RW301994-11-09USANo206 Lbs6 ft4NoNoFree AgentNoNo22024-01-22FalseFalsePro & Farm880,000$17,959$0$0$No880,000$--------880,000$--------No--------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3126.29194 Lbs6 ft11.68942,538$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicholas RobertsonDylan GambrellZach Sanford40122
2Mike Vecchione30122
3Sebastian RepoAnders Bjork20122
4Shane GersichMichael Spacek10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Alexander Yelesin30122
3Jeremy DaviesConnor Mackey20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicholas RobertsonDylan GambrellZach Sanford60113
2Mike Vecchione40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160113
2Alexander Yelesin40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dylan GambrellNicholas Robertson60131
2Mike Vecchione40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160131
2Alexander Yelesin40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dylan Gambrell6012260122
2Mike Vecchione40122Alexander Yelesin40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dylan GambrellNicholas Robertson60122
2Mike Vecchione40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Alexander Yelesin40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicholas RobertsonDylan GambrellZach Sanford
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicholas RobertsonDylan GambrellZach Sanford
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mike Vecchione, Sebastian Repo, Michael SpacekMike Vecchione, Sebastian RepoMike Vecchione
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Jeremy Davies, Connor Mackey, Jeremy Davies
Tirs de pénalité
Nicholas Robertson, Zach Sanford, , Dylan Gambrell, Mike Vecchione
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
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
1ONTARIO Reign404000001155-4420200000628-2220200000527-2200.000112132001730120235938011248496614535.71%220.00%04910845.37%244652.17%429245.65%784279398238
Total404000001155-4420200000628-2220200000527-2200.000112132001730120235938011248496614535.71%220.00%04910845.37%244652.17%429245.65%784279398238
_Since Last GM Reset404000001155-4420200000628-2220200000527-2200.000112132001730120235938011248496614535.71%220.00%04910845.37%244652.17%429245.65%784279398238
_Vs Conference404000001155-4420200000628-2220200000527-2200.000112132001730120235938011248496614535.71%220.00%04910845.37%244652.17%429245.65%784279398238

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
40L411213212011248496600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
40400001155
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2020000628
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2020000527
Derniers 10 matchs
WLOTWOTL SOWSOL
040000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
14535.71%220.00%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
23593801730
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
4910845.37%244652.17%429245.65%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
784279398238


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
27MILWAUKEE Admirals4ONTARIO Reign12LSommaire du match
415MILWAUKEE Admirals1ONTARIO Reign15LSommaire du match
623ONTARIO Reign12MILWAUKEE Admirals4LSommaire du match
831ONTARIO Reign16MILWAUKEE Admirals2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,921,867$ 2,921,867$ 800,000$0$
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$ 1 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
1Anders Bjork29617119336420677322397110915.42%91548018.51183048983362617350.22%171.3349
2Nicholas Robertson22314118732821541167313102313.78%53388317.41132740851121212652.98%141.6949
3Gabriel Dumont1541431412841878235723688116.23%45316520.56822306600009159.22%151.7900
4Connor Mackey3287818326119627949335653714.53%295600918.322432561662353700%20.8711
5Tanner Kero124941472411762413932363014.92%58275722.248101860112810456.94%131.7500

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
1Ukko-Pekka Luukkonen18811364100.8993.0310996107556552601250.82434
2Anton Forsberg45321210.8872.8926562512811340010.5002
3Dustin Wolf54301150.8873.293006631651458265400.68816
4Calvin Pickard3726740.9002.0722286577772303310.46213
5Merrick Madsen30000.9302.351020045700000

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
Saison régulière
14825423013017032624414129901200367133234412514001013361292071147031303200619405186111148001475168916345219560933616071404632.86%1453973.10%51422249556.99%1161221952.32%995165360.19%253920281485445906495
1572382603140403242161361715011202181239536211102020185119669140373211354020012274831319911014110631238170240815021684526.79%1713480.12%31278241752.88%1258243151.75%703128754.62%181813341650489879444
161065536038404163061105330180122022116160532518026201951455013241675911751616412811713286493494097538308183991225992959030.51%3847580.47%61607310551.76%1674348947.98%868178748.57%2569178924687551355684
177235230422638036218361710021152071644336181302111173198-25903806241004159814313311209960376371843181056374014532147334.11%993762.63%4783150651.99%608121650.00%621132846.76%158691313996491381702
Total Saison régulière332182108011141071902117273016693520565510135814321668956068528895912984271902341853207208675794353312894400344064433117946727132396716181725431.09%79918576.85%185090952353.45%4701935550.25%3187605552.63%851460657004233945222326
Séries éliminatoires
14624000001926-730300000918-9321000001082419355400510401624961511206531212812325.00%60100.00%06817439.08%6521829.82%4011335.40%13697146437737
15624000001518-3312000001011-13120000057-2415213600932117146465920269682212315320.00%90100.00%06919136.13%10426938.66%379140.66%12183179437434
16624000001725-831200000810-231200000915-641733500075411354343463224625315515426.67%22672.73%05116131.68%5623423.93%3710634.91%13291157427537
17404000001155-4420200000628-2220200000527-220112132001730120235938011248496614535.71%220.00%04910845.37%244652.17%429245.65%784279398238
Total Séries éliminatoires226160000062124-621129000003367-341147000002957-28126211017200222513258816120919424811231136472561526.79%39879.49%023763437.38%24976732.46%15640238.81%469313563168309148

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
1Alexander Yelesin2211112-38174134283.57%4139117.8003360000000%00.6100
2Gabriel Dumont127411-5438255612.50%326722.30112800002045.00%00.8200
3Cameron Gaunce63710121261915.79%712721.2910180000000%01.5700
4William Borgen18369-11943131618.75%1328415.8200020000100%00.6300
5Nicholas Robertson11358-3001128397.69%622320.30123600000043.75%00.7200

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
1Ukko-Pekka Luukkonen134710.9073.72726004548500000
2Dustin Wolf72310.8804.12335002319201000
3Merrick Madsen10000.9551.58380012200000