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Milwaukee Admirals
GP: 77 | W: 44 | L: 23 | OTL: 10 | P: 98
GF: 201 | GA: 172 | PP%: 33.94% | PK%: 66.24%
DG: Dominic St-Pierre | Morale : 41 | Moyenne d’équipe : 58
Prochains matchs #1026 vs Bridgeport Islanders

Centre de jeu
Milwaukee Admirals
44-23-10, 98pts
5
3 Laval Rocket
35-34-11, 81pts
Team Stats
W6SéquenceL1
23-13-4Fiche domicile19-14-6
21-10-6Fiche domicile16-20-5
9-1-0Derniers 10 matchs4-4-2
2.61Buts par match 2.39
2.23Buts contre par match 2.63
33.94%Pourcentage en avantage numérique31.90%
66.24%Pourcentage en désavantage numérique71.43%
Ontario Reign
48-23-7, 103pts
1
5 Milwaukee Admirals
44-23-10, 98pts
Team Stats
L1SéquenceW6
28-8-3Fiche domicile23-13-4
20-15-4Fiche domicile21-10-6
7-3-0Derniers 10 matchs9-1-0
2.91Buts par match 2.61
2.64Buts contre par match 2.23
35.27%Pourcentage en avantage numérique33.94%
71.70%Pourcentage en désavantage numérique66.24%
Milwaukee Admirals
44-23-10, 98pts
Jour 201
Bridgeport Islanders
38-26-14, 90pts
Statistiques d’équipe
W6SéquenceL1
23-13-4Fiche domicile18-15-6
21-10-6Fiche visiteur20-11-8
9-1-010 derniers matchs5-4-1
2.61Buts par match 2.50
2.23Buts contre par match 2.50
33.94%Pourcentage en avantage numérique26.01%
66.24%Pourcentage en désavantage numérique70.00%
Milwaukee Admirals
44-23-10, 98pts
Jour 202
Manitoba Moose
37-30-13, 87pts
Statistiques d’équipe
W6SéquenceL1
23-13-4Fiche domicile21-14-4
21-10-6Fiche visiteur16-16-9
9-1-010 derniers matchs6-4-0
2.61Buts par match 2.14
2.23Buts contre par match 2.14
33.94%Pourcentage en avantage numérique27.00%
66.24%Pourcentage en désavantage numérique71.55%
Milwaukee Admirals
44-23-10, 98pts
Jour 204
Hartford Wolf Pack
35-28-15, 85pts
Statistiques d’équipe
W6SéquenceOTW1
23-13-4Fiche domicile21-11-8
21-10-6Fiche visiteur14-17-7
9-1-010 derniers matchs6-1-3
2.61Buts par match 2.36
2.23Buts contre par match 2.36
33.94%Pourcentage en avantage numérique28.30%
66.24%Pourcentage en désavantage numérique64.97%
Meneurs d'équipe
Buts
Ben Meyers
25
Passes
Ben Meyers
35
Points
Ben Meyers
60
Plus/Moins
Ben Meyers
12
Victoires
Nikita Tolopilo
32
Pourcentage d’arrêts
Nikita Tolopilo
0.921

Statistiques d’équipe
Buts pour
201
2.61 GFG
Tirs pour
2200
28.57 Avg
Pourcentage en avantage numérique
33.9%
75 GF
Début de zone offensive
39.2%
Buts contre
172
2.23 GAA
Tirs contre
2026
26.31 Avg
Pourcentage en désavantage numérique
66.2%%
53 GA
Début de la zone défensive
35.8%
Informations de l'équipe

Directeur généralDominic St-Pierre
EntraîneurGlen Gulutzan
DivisionCentral
ConférenceWestern
CapitaineBen Harpur
Assistant #1Tanner Laczynski
Assistant #2Matt Kiersted


Informations de l’aréna

Capacité3,000
Assistance2,852
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure21
Limite Contrat47 / 72
Espoirs26


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
1Sam Colangelo (R)0XX100.00654078738581656946616763695550150630241775,000$
2Marc Gatcomb0X100.00764576717474646647596363665250150610262775,000$
3Ben Meyers0XX100.00624175686973676662636261656050150600275775,000$
4Tanner Laczynski (A)0XX100.00594272676469656445635962636050150590282775,000$
5Adam Beckman0X100.00584271646465636444616053635250150570251775,000$
6Jan Mysak (R)0XX100.00574173656264626361595853625150150560231775,000$
7Nathan Gaucher (R)0XX100.00665060636862606057585560595050150560221886,666$
8Avery Hayes0X100.00594466695962606242585959635050150560231750,000$
9Riley Kidney (R)0X100.00564367655963626047585354595050150550231836,667$
10Ilya Usau0X100.00614171656362615955555357595050150550242897,500$
11Gavin Hayes (R)0XX100.00594168626161595941565456585050150540211896,667$
12David Edstrom (R)0X100.00604060605050605060505060505050150510213887,000$
13Jake Christiansen0X100.00664483747576757040666372696253150650261975,000$
14Matt Kiersted (A)0X100.00644466696370676440625469626050150610284775,000$
15Ben Harpur (C)0X100.00664467597669675840525364568055150600312787,500$
16Samuel Bolduc0X100.00584076647871656740646159645750150600251775,000$
17Isaak Phillips0X100.00644764687271656440605765635950150600242812,500$
18Tory Dello0X100.00564270656267656040545361595750150570292775,000$
Rayé
1Riley Duran (R)0XXX100.00614172646363615941525558595150150550242867,500$
2David Goyette (R)0X100.00594167625861595841575559585050150540221891,667$
3Cole O'Hara (R)0X100.00604070605050605040505060505050150510233860,000$
4Cale Fleury0X81.01664172676967646440625768636551150610273890,000$
5Case McCarthy0X100.00614066626259575540545361575150150550252750,000$
MOYENNE D’ÉQUIPE99.1762427065656663614658576161555015057
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
1Nikita Tolopilo0100.0070656974717172697170595250150660265775,000$
2Simon Zajicek (R)0100.00706060656570707070656050505150630242872,500$
Rayé
1Thomas Milic (R)0100.0068606161646466636664595050150600231750,000$
MOYENNE D’ÉQUIPE100.0069626367676869676966595150185063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Gulutzan7477797762561CAN5311,000,000$


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
1Adam BeckmanMilwaukee Admirals (NSH)LW76253560104125106841994910612.56%23146019.21112031251510001816149.24%1323624100.8227104255
2Ben MeyersMilwaukee Admirals (NSH)C/LW6825356012255921352245511811.16%24136520.0961723251400004865252.19%11174536100.88410001364
3Jan MysakMilwaukee Admirals (NSH)C/LW75163046-3342010994178531098.99%33138318.4561622151340002422151.46%5813916120.6700121335
4Marc GatcombMilwaukee Admirals (NSH)RW55212243112115115751574510613.38%28100318.25641014710001643242.52%1274421000.8639003733
5Jake ChristiansenMilwaukee Admirals (NSH)D5283341110107610212254496.56%70125924.21571211116000068100%06755000.6501011213
6Tanner LaczynskiMilwaukee Admirals (NSH)C/RW67152136-225159393161511179.32%24122318.26110119940001484242.56%7594321100.5915102313
7Sam ColangeloMilwaukee Admirals (NSH)C/RW3515213610115655115446849.74%1270020.005101515790002301443.67%2452414111.0303001350
8Avery HayesMilwaukee Admirals (NSH)RW77132235-842201118615846948.23%19109814.27810181187000054254.00%504316000.6403202222
9Matt KierstedMilwaukee Admirals (NSH)D7742630468201171309829364.08%107183223.80411151316400009420100.00%14559000.3300013001
10Nathan GaucherMilwaukee Admirals (NSH)C/RW77151126-2421013993133407111.28%19123316.02831110760002242446.63%1632625000.4200110114
11Samuel BolducMilwaukee Admirals (NSH)D712222410453555877132322.82%56151221.312577134000193000%03648000.3201214112
12Cale FleuryMilwaukee Admirals (NSH)D5541216-2291566986119166.56%69117721.40415471000248200%01639000.2700021011
13Ben HarpurMilwaukee Admirals (NSH)D7731316931575723921147.69%41126416.42347472000024000%11130000.2500010001
14Isaak PhillipsMilwaukee Admirals (NSH)D52310132381056575120175.88%4994018.08202555000141120%01928000.2800002011
15Nikita NesterenkoNashville PredatorsC/LW107310-540161633102721.21%618318.39123120000050144.44%27125001.0913000111
16Gavin HayesMilwaukee Admirals (NSH)LW/RW425491021545344793410.64%1559814.24011340000052045.00%20613000.3000001100
17Ilya UsauMilwaukee Admirals (NSH)C77459-3221077727520505.33%1688511.50000270000161048.90%3191918000.2012002000
18Riley KidneyMilwaukee Admirals (NSH)C60437280452735102711.43%195549.2401106000061050.00%4679000.2500000001
19David GoyetteMilwaukee Admirals (NSH)C63347-54038254211257.14%54557.23022118000000041.38%5857000.3100000200
20Cole O'HaraMilwaukee Admirals (NSH)RW313141402614164918.75%32638.4800001000000050.00%625000.3000000000
21Riley DuranMilwaukee Admirals (NSH)C/LW/RW3730361553332467286.52%347212.7600002000041148.15%2787000.1300100010
22Case McCarthyMilwaukee Admirals (NSH)D2202217519177450%1934015.5000009000010000%0116000.1200100000
23Tory DelloMilwaukee Admirals (NSH)D6702208027623210150%3998014.64000113000069000%01030000.0400000000
24David EdstromMilwaukee Admirals (NSH)C34011200432715670%838211.2400006000000050.27%18315000.0501000000
Statistiques d’équipe totales ou en moyenne13571983385366155523516441583215465111969.19%7072257216.6372124196176157900017872382248.34%3862565547530.47124510928313237
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
1Nikita TolopiloMilwaukee Admirals (NSH)623220100.9212.053751231281624889530.528366215992
2Simon ZajicekMilwaukee Admirals (NSH)1612300.9202.07928023239921300001540221
Statistiques d’équipe totales ou en moyenne784423100.9212.05468025160202311025336775511113


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
Adam BeckmanMilwaukee Admirals (NSH)LW252001-05-10CANNo194 Lbs6 ft2NoNoN/ANoYes12025-07-18FalseFalsePro & Farm775,000$76,802$0$0$No---------------------------
Avery HayesMilwaukee Admirals (NSH)RW232002-10-10USANo174 Lbs5 ft10NoNoTrade2025-01-10NoYes12025-01-10FalseFalsePro & Farm750,000$74,324$0$0$No---------------------------
Ben HarpurMilwaukee Admirals (NSH)D311995-01-12CANNo231 Lbs6 ft6NoNoTrade2024-10-15NoYes2FalseFalsePro & Farm787,500$78,041$0$0$No787,500$--------787,500$--------No--------
Ben MeyersMilwaukee Admirals (NSH)C/LW271998-11-15USANo194 Lbs5 ft11NoNoN/ANoYes52025-06-16FalseFalsePro & Farm775,000$76,802$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Cale FleuryMilwaukee Admirals (NSH)D271998-11-19CANNo214 Lbs6 ft1NoNoFree AgentNoYes32025-08-08FalseFalsePro & Farm890,000$88,198$0$0$No890,000$890,000$-------890,000$890,000$-------NoNo-------
Case McCarthyMilwaukee Admirals (NSH)D252001-01-09USANo198 Lbs6 ft1NoNoTrade2026-03-24NoYes22025-01-10FalseFalsePro & Farm750,000$74,324$0$0$No750,000$--------750,000$--------No--------
Cole O'HaraMilwaukee Admirals (NSH)RW232002-06-20CANYes187 Lbs6 ft0NoNoProspectNoYes32025-12-29FalseFalsePro & Farm860,000$85,225$0$0$No860,000$860,000$-------860,000$860,000$-------NoNo-------
David EdstromMilwaukee Admirals (NSH)C212005-02-18SWEYes185 Lbs6 ft3NoNoTrade2026-02-10NoYes32025-12-21FalseFalsePro & Farm887,000$87,901$0$0$No887,000$887,000$-------887,000$887,000$-------NoNo-------
David GoyetteMilwaukee Admirals (NSH)C222004-03-27CANYes174 Lbs5 ft11NoNoProspectNoYes12025-06-16FalseFalsePro & Farm891,667$88,363$0$0$No---------------------------
Gavin HayesMilwaukee Admirals (NSH)LW/RW212004-05-14USAYes176 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro & Farm896,667$88,859$0$0$No---------------------------
Ilya UsauMilwaukee Admirals (NSH)C242001-08-03BELNo189 Lbs6 ft0NoNoN/ANoYes22025-06-16FalseFalsePro & Farm897,500$88,941$0$0$No897,500$--------897,500$--------No--------
Isaak PhillipsMilwaukee Admirals (NSH)D242001-09-28CANNo194 Lbs6 ft3NoNoN/ANoYes22025-07-16FalseFalsePro & Farm812,500$80,518$0$0$No812,500$--------812,500$--------No--------
Jake ChristiansenMilwaukee Admirals (NSH)D261999-09-12CANNo197 Lbs6 ft0NoNoFree AgentNoYes12025-06-16FalseFalsePro & Farm975,000$96,622$0$0$No---------------------------
Jan MysakMilwaukee Admirals (NSH)C/LW232002-06-24CZEYes183 Lbs6 ft0NoNoN/ANoYes12025-07-18FalseFalsePro & Farm775,000$76,802$0$0$No---------------------------
Marc GatcombMilwaukee Admirals (NSH)RW261999-07-22USANo195 Lbs6 ft2NoNoTrade2024-09-24NoYes22024-09-24FalseFalsePro & Farm775,000$76,802$0$0$No775,000$--------775,000$--------No--------
Matt KierstedMilwaukee Admirals (NSH)D281998-04-14USANo181 Lbs6 ft0NoNoN/ANoYes4FalseFalsePro & Farm775,000$76,802$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Nathan GaucherMilwaukee Admirals (NSH)C/RW222003-11-06CANYes207 Lbs6 ft3NoNoTrade2024-12-13NoYes1FalseFalsePro & Farm886,666$87,868$0$0$No---------------------------
Nikita TolopiloMilwaukee Admirals (NSH)G262000-04-06BELNo229 Lbs6 ft6NoNoTrade2024-09-15NoYes52025-06-16FalseFalsePro & Farm775,000$76,802$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Riley DuranMilwaukee Admirals (NSH)C/LW/RW242002-01-25USAYes181 Lbs6 ft2NoNoProspectNoYes22024-09-22FalseFalsePro & Farm867,500$85,968$0$0$No867,500$--------867,500$--------No--------
Riley KidneyMilwaukee Admirals (NSH)C232003-03-25CANYes168 Lbs5 ft11NoNoN/ANoYes1FalseFalsePro & Farm836,667$82,913$0$0$No---------------------------
Sam ColangeloMilwaukee Admirals (NSH)C/RW242001-12-26USAYes211 Lbs6 ft2NoNoTrade2024-12-13NoYes12025-08-02FalseFalsePro & Farm775,000$76,802$0$0$No---------------------------
Samuel BolducMilwaukee Admirals (NSH)D252000-12-09CANNo220 Lbs6 ft4NoNoTrade2024-12-05NoYes12025-07-02FalseFalsePro & Farm775,000$76,802$0$0$No---------------------------
Simon ZajicekMilwaukee Admirals (NSH)G242001-06-25CZEYes187 Lbs6 ft2NoNoProspectNoYes22026-02-15FalseFalsePro & Farm872,500$86,464$0$0$No872,500$--------872,500$--------No--------
Tanner LaczynskiMilwaukee Admirals (NSH)C/RW281997-06-01USANo190 Lbs6 ft1NoNoTrade2024-09-24NoYes22024-09-24FalseFalsePro & Farm775,000$76,802$0$0$No775,000$--------775,000$--------No--------
Thomas MilicMilwaukee Admirals (NSH)G232003-04-14CANYes179 Lbs6 ft0NoNoN/ANoYes1FalseFalsePro & Farm750,000$74,324$0$0$No---------------------------
Tory DelloMilwaukee Admirals (NSH)D291997-02-14USANo187 Lbs6 ft1NoNoTrade2024-10-15NoYes22024-10-15FalseFalsePro & Farm775,000$76,802$0$0$No775,000$--------775,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.77193 Lbs6 ft12.00821,583$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam BeckmanBen MeyersSam Colangelo35023
2Gavin HayesJan MysakMarc Gatcomb35023
3Nathan GaucherDavid EdstromTanner Laczynski25023
4Riley KidneyIlya UsauAvery Hayes5023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake ChristiansenMatt Kiersted38032
2Samuel BolducIsaak Phillips37032
3Tory DelloBen Harpur25032
4Jake ChristiansenMatt Kiersted0050
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam BeckmanBen MeyersSam Colangelo60014
2Gavin HayesJan MysakMarc Gatcomb40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake ChristiansenMatt Kiersted55023
2Isaak PhillipsSamuel Bolduc45023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ben MeyersSam Colangelo50050
2Jan MysakMarc Gatcomb50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake ChristiansenMatt Kiersted50050
2Isaak PhillipsBen Harpur50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ben Meyers50122Jake ChristiansenMatt Kiersted50122
2Tanner Laczynski50122Isaak PhillipsBen Harpur50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ben MeyersSam Colangelo50023
2Jan MysakMarc Gatcomb50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake ChristiansenMatt Kiersted50032
2Isaak PhillipsSamuel Bolduc50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jan MysakBen MeyersSam ColangeloJake ChristiansenMatt Kiersted
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marc GatcombJan MysakSam ColangeloJake ChristiansenMatt Kiersted
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Riley Kidney, David Edstrom, Ilya UsauTanner Laczynski, David EdstromNathan Gaucher
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Kiersted, Jake Christiansen, Ben HarpurBen HarpurSamuel Bolduc, Ben Harpur
Tirs de pénalité
Sam Colangelo, Marc Gatcomb, Ben Meyers, Adam Beckman, Tanner Laczynski
Gardien
#1 : Simon Zajicek, #2 : Nikita Tolopilo


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
TotalDomicile Visiteur
# 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 RI
1Abbotsford Canucks41201000912-32110000046-22010100056-140.5009162500397085141036277917675511243598812541.67%12741.67%0768156349.14%664143046.43%50799850.80%156080915697471556782
2Belleville Senators22000000523110000002111100000031241.000581300397085145262779176755411511495360.00%3166.67%0768156349.14%664143046.43%50799850.80%156080915697471556782
3Bridgeport Islanders32000001853320000018530000000000050.83381422003970851486627791767551024514617228.57%70100.00%0768156349.14%664143046.43%50799850.80%156080915697471556782
4Chicago Wolves2010000168-21010000023-11000000145-110.250691500397085145462779176755692111419333.33%3166.67%0768156349.14%664143046.43%50799850.80%156080915697471556782
5Coachella Valley Firebirds6320000115150211000009814210000167-170.583152843113970851417862779176755159482211719210.53%11554.55%0768156349.14%664143046.43%50799850.80%156080915697471556782
6Colorado Eagles42100010141222200000010642010001046-260.75014203400397085141246277917675512041288616531.25%9722.22%0768156349.14%664143046.43%50799850.80%156080915697471556782
7Grand Rapids Griffins 21100000651110000004221010000023-120.5006101600397085146762779176755481410444250.00%50100.00%0768156349.14%664143046.43%50799850.80%156080915697471556782
8Hartford Wolf Pack 4210001013943210000010731000001032160.75013213400397085141456277917675510433178811436.36%6266.67%0768156349.14%664143046.43%50799850.80%156080915697471556782
9Henderson Silver Knights41200001811-32010000136-32110000055030.3758122000397085141036277917675580223010413538.46%11645.45%0768156349.14%664143046.43%50799850.80%156080915697471556782
10Hershey Bears 21000001642110000005231000000112-130.750611170039708514466277917675535723513133.33%40100.00%0768156349.14%664143046.43%50799850.80%156080915697471556782
11Iowa Wild51300001510-52110000034-13020000126-430.300581310397085141126277917675514337231049222.22%9455.56%0768156349.14%664143046.43%50799850.80%156080915697471556782
12Laval Rocket311000018801000000112-12110000076130.50081523003970851410062779176755812441919333.33%4175.00%0768156349.14%664143046.43%50799850.80%156080915697471556782
13Lehigh Valley Phantoms21100000651110000004131010000024-220.5006101600397085146162779176755622812406233.33%6266.67%0768156349.14%664143046.43%50799850.80%156080915697471556782
14Manitoba Moose431000001596321000007521100000084460.7501526410139708514124627791767558135298411654.55%20100.00%0768156349.14%664143046.43%50799850.80%156080915697471556782
15Ontario Reign411010101165211000007432000101042260.7501120310039708514107627791767551064039798337.50%12283.33%0768156349.14%664143046.43%50799850.80%156080915697471556782
16Providence Bruins1010000012-1000000000001010000012-100.00012300397085143362779176755219425100.00%20100.00%0768156349.14%664143046.43%50799850.80%156080915697471556782
17Rochester American 2010010036-31010000024-21000010012-110.25036900397085144862779176755481722475240.00%6350.00%0768156349.14%664143046.43%50799850.80%156080915697471556782
18Rockford IceHogs 32000001853220000006241000000123-150.8338132100397085147162779176755794186712541.67%4175.00%0768156349.14%664143046.43%50799850.80%156080915697471556782
19San Diego Gulls422000008802020000015-42200000073440.500815231039708514108627791767551113245979333.33%10280.00%0768156349.14%664143046.43%50799850.80%156080915697471556782
20San Jose Barracuda430010001257220000007342100100052381.0001223350139708514102627791767559735289215426.67%9188.89%0768156349.14%664143046.43%50799850.80%156080915697471556782
21Springfield Thunderbirds2010001057-21010000025-31000001032120.500571200397085146362779176755752410468225.00%5260.00%0768156349.14%664143046.43%50799850.80%156080915697471556782
22Syracuse Crunch 2110000046-21010000006-61100000040420.50044801397085145662779176755531326404250.00%3233.33%0768156349.14%664143046.43%50799850.80%156080915697471556782
23Texas Stars 540000011367320000018532200000051490.900132033013970851415762779176755128573610117529.41%8187.50%0768156349.14%664143046.43%50799850.80%156080915697471556782
24Toronto Marlies 22000000734110000003121100000042241.000714210039708514646277917675551189366350.00%2150.00%0768156349.14%664143046.43%50799850.80%156080915697471556782
25Wilkes-Barre/Scranton Penguins 11000000532000000000001100000053221.00059140039708514366277917675520828242150.00%4250.00%0768156349.14%664143046.43%50799850.80%156080915697471556782
Total773723031492011722940231300004108931537141003145937914980.6362013415423539708514220062779176755202670758517022217533.94%1575366.24%0768156349.14%664143046.43%50799850.80%156080915697471556782
_Since Last GM Reset773723031492011722940231300004108931537141003145937914980.6362013415423539708514220062779176755202670758517022217533.94%1575366.24%0768156349.14%664143046.43%50799850.80%156080915697471556782
_Vs Conference5025140302612610422271680000373591423960302353458660.6601262153413439708514137562779176755131847636110801484731.76%1043665.38%0768156349.14%664143046.43%50799850.80%156080915697471556782
_Vs Division19124000044540510920000229227932000021618-2280.7374568113113970851452762779176755545200105404621930.65%351557.14%0768156349.14%664143046.43%50799850.80%156080915697471556782

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7798W620134154222002026707585170235
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7737233149201172
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
402313000410893
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
37141031459379
Derniers 10 matchs
WLOTWOTL SOWSOL
910000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2217533.94%1575366.24%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
6277917675539708514
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
768156349.14%664143046.43%50799850.80%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
156080915697471556782


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
312Bridgeport Islanders1Milwaukee Admirals 3WSommaire du match
416Milwaukee Admirals 0Coachella Valley Firebirds3LSommaire du match
838Milwaukee Admirals 0Iowa Wild2LSommaire du match
946Manitoba Moose3Milwaukee Admirals 1LSommaire du match
1264Hartford Wolf Pack 1Milwaukee Admirals 4WSommaire du match
1581San Diego Gulls2Milwaukee Admirals 0LSommaire du match
1791Milwaukee Admirals 2Ontario Reign1WXSommaire du match
20104Milwaukee Admirals 2Rockford IceHogs 3LXXSommaire du match
21115Texas Stars 1Milwaukee Admirals 4WSommaire du match
24129Milwaukee Admirals 2Coachella Valley Firebirds3LXXSommaire du match
26137Milwaukee Admirals 3Abbotsford Canucks2WXSommaire du match
29150Colorado Eagles3Milwaukee Admirals 5WSommaire du match
31161Coachella Valley Firebirds5Milwaukee Admirals 3LSommaire du match
37188San Jose Barracuda1Milwaukee Admirals 3WSommaire du match
40206Milwaukee Admirals 4San Diego Gulls2WSommaire du match
42214Abbotsford Canucks2Milwaukee Admirals 3WSommaire du match
46233Ontario Reign3Milwaukee Admirals 2LSommaire du match
48241Milwaukee Admirals 3Colorado Eagles2WXXSommaire du match
51258Milwaukee Admirals 2Abbotsford Canucks4LSommaire du match
52269Chicago Wolves3Milwaukee Admirals 2LSommaire du match
56288Belleville Senators1Milwaukee Admirals 2WSommaire du match
58299Milwaukee Admirals 1San Jose Barracuda0WXSommaire du match
60307Milwaukee Admirals 4Chicago Wolves5LXXSommaire du match
62317Milwaukee Admirals 0Henderson Silver Knights2LSommaire du match
63325Abbotsford Canucks4Milwaukee Admirals 1LSommaire du match
67342Milwaukee Admirals 1Colorado Eagles4LSommaire du match
69350Syracuse Crunch 6Milwaukee Admirals 0LSommaire du match
71358Milwaukee Admirals 4Toronto Marlies 2WSommaire du match
74375Hartford Wolf Pack 3Milwaukee Admirals 4WSommaire du match
78390Milwaukee Admirals 3San Diego Gulls1WSommaire du match
80401Milwaukee Admirals 1Hershey Bears 2LXXSommaire du match
81407Lehigh Valley Phantoms1Milwaukee Admirals 4WSommaire du match
84426Milwaukee Admirals 2Grand Rapids Griffins 3LSommaire du match
85433Iowa Wild3Milwaukee Admirals 1LSommaire du match
90454Manitoba Moose0Milwaukee Admirals 3WSommaire du match
92463Milwaukee Admirals 4San Jose Barracuda2WSommaire du match
94473Milwaukee Admirals 5Henderson Silver Knights3WSommaire du match
96485Texas Stars 2Milwaukee Admirals 1LXXSommaire du match
99497Milwaukee Admirals 2Ontario Reign1WXXSommaire du match
101510Laval Rocket2Milwaukee Admirals 1LXXSommaire du match
103526Milwaukee Admirals 3Hartford Wolf Pack 2WXXSommaire du match
105535Hershey Bears 2Milwaukee Admirals 5WSommaire du match
108548Milwaukee Admirals 1Providence Bruins2LSommaire du match
111562Rochester American 4Milwaukee Admirals 2LSommaire du match
116584San Diego Gulls3Milwaukee Admirals 1LSommaire du match
118595Milwaukee Admirals 3Belleville Senators1WSommaire du match
120607Henderson Silver Knights4Milwaukee Admirals 2LSommaire du match
126634Coachella Valley Firebirds3Milwaukee Admirals 6WSommaire du match
130655Toronto Marlies 1Milwaukee Admirals 3WSommaire du match
133676Milwaukee Admirals 5Wilkes-Barre/Scranton Penguins 3WSommaire du match
135682Grand Rapids Griffins 2Milwaukee Admirals 4WSommaire du match
138698Milwaukee Admirals 2Laval Rocket3LSommaire du match
139707Rockford IceHogs 1Milwaukee Admirals 3WSommaire du match
143731Milwaukee Admirals 2Lehigh Valley Phantoms4LSommaire du match
145735Springfield Thunderbirds5Milwaukee Admirals 2LSommaire du match
147748Milwaukee Admirals 3Springfield Thunderbirds2WXXSommaire du match
148760Bridgeport Islanders3Milwaukee Admirals 2LXXSommaire du match
152779Milwaukee Admirals 4Syracuse Crunch 0WSommaire du match
153785Texas Stars 2Milwaukee Admirals 3WSommaire du match
159810Rockford IceHogs 1Milwaukee Admirals 3WSommaire du match
161823Milwaukee Admirals 1Rochester American 2LXSommaire du match
162830Milwaukee Admirals 0Iowa Wild1LSommaire du match
164836Henderson Silver Knights2Milwaukee Admirals 1LXXSommaire du match
168854Milwaukee Admirals 2Iowa Wild3LXXSommaire du match
169863San Jose Barracuda2Milwaukee Admirals 4WSommaire du match
172879Milwaukee Admirals 8Manitoba Moose4WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
174888Manitoba Moose2Milwaukee Admirals 3WSommaire du match
175896Milwaukee Admirals 2Coachella Valley Firebirds1WSommaire du match
179915Iowa Wild1Milwaukee Admirals 2WSommaire du match
182926Milwaukee Admirals 3Texas Stars 1WSommaire du match
185940Hartford Wolf Pack 3Milwaukee Admirals 2LSommaire du match
186948Milwaukee Admirals 2Texas Stars 0WSommaire du match
189967Bridgeport Islanders1Milwaukee Admirals 3WSommaire du match
190973Milwaukee Admirals 2Coachella Valley Firebirds0WSommaire du match
193991Colorado Eagles3Milwaukee Admirals 5WSommaire du match
1961003Milwaukee Admirals 5Laval Rocket3WSommaire du match
1991017Ontario Reign1Milwaukee Admirals 5WSommaire du match
2011026Milwaukee Admirals -Bridgeport Islanders-
2021033Milwaukee Admirals -Manitoba Moose-
2041043Milwaukee Admirals -Hartford Wolf Pack -
2061052Milwaukee Admirals -Bridgeport Islanders-
2071058Providence Bruins-Milwaukee Admirals -
2111079Providence Bruins-Milwaukee Admirals -
2121082Milwaukee Admirals -Rockford IceHogs -
2161098Wilkes-Barre/Scranton Penguins -Milwaukee Admirals -
2171103Milwaukee Admirals -Rockford IceHogs -



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance75,93138,153
Assistance PCT94.91%95.38%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
3 2852 - 95.07% 120,313$4,812,521$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,710,190$ 2,136,118$ 2,136,118$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,622$ 1,776,792$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
360,939$ 22 14,127$ 310,794$




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