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Milwaukee Admirals
GP: 84 | W: 55 | L: 24 | OTL: 5 | P: 115
GF: 457 | GA: 290 | PP%: 35.11% | PK%: 74.07%
DG: Mario Lessard | Morale : 90 | Moyenne d’équipe : 66

Centre de jeu
Grand Rapids Griffins
27-46-10, 64pts
2
FINAL
3 Milwaukee Admirals
55-24-5, 115pts
Team Stats
L1SéquenceL1
18-19-4Fiche domicile31-8-3
9-27-6Fiche domicile24-16-2
1-7-2Derniers 10 matchs6-4-0
4.08Buts par match 5.44
4.67Buts contre par match 3.45
23.11%Pourcentage en avantage numérique35.11%
71.10%Pourcentage en désavantage numérique74.07%
Milwaukee Admirals
55-24-5, 115pts
1
FINAL
6 Manitoba Moose
54-26-4, 112pts
Team Stats
L1SéquenceW3
31-8-3Fiche domicile29-10-3
24-16-2Fiche domicile25-16-1
6-4-0Derniers 10 matchs8-2-0
5.44Buts par match 5.45
3.45Buts contre par match 3.45
35.11%Pourcentage en avantage numérique33.77%
74.07%Pourcentage en désavantage numérique71.73%
Meneurs d'équipe
Buts
Axel Sandin-Pellika
58
Craig SmithPasses
Craig Smith
77
Craig SmithPoints
Craig Smith
124
Plus/Moins
Kevin Korchinski
89
Victoires
Olivier Rodrigue
19
Pourcentage d’arrêts
Olivier Rodrigue
0.9

Statistiques d’équipe
Buts pour
457
5.44 GFG
Tirs pour
3075
36.61 Avg
Pourcentage en avantage numérique
35.1%
66 GF
Début de zone offensive
35.1%
Buts contre
290
3.45 GAA
Tirs contre
3056
36.38 Avg
Pourcentage en désavantage numérique
74.1%%
70 GA
Début de la zone défensive
37.7%
Informations de l'équipe

Directeur généralMario Lessard
EntraîneurMario Barlow
DivisionCentral
ConférenceWestern Conference
Capitaine
Assistant #1Oliver Moore
Assistant #2Maveric Lamoureux


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure22
Limite contact 44 / 50
Espoirs35


Historique d'équipe

Saison actuelle55-24-5 (115PTS)
Historique0-0-0


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
1Craig SmithXX100.007061917277919167756770688097970817003511$
2Oliver Moore (R) (A)X100.00676092767375757180736869787171085690202941,667$
3Max Sasson (R)X100.00666093747491916682657169817676085690241775,000$
4Collin GrafX100.00686093747672726873696978797373066690221941,667$
5Alex SteevesX100.00956092707162626465656865787373085660251850,000$
6Arshdeep Bains (R)X100.00726090687165656180626768777272085650241775,000$
7Adam Raska (R)XX100.007260926869616160656265667572720716302311$
8Jason PolinX100.00666085656861616179626666766868085630261775,000$
9Tye FelhaberX100.00686085656661616065626565756868085620262775,000$
10Jimmy HuntingtonX100.00606060606060606060606060606060020580262775,000$
11Lian Bichsel (R)X100.00956784748778787065707072808181042720211918,333$
12Axel Sandin-Pellika (R)X100.00636091757475757365767075808181081710203918,333$
13Emil Andrae (R)X100.00736091737180806965716674768484084700231903,333$
14Kevin KorchinskiX100.00626090727576766865686872788282082690211918,333$
15Maveric Lamoureux (R) (A)X100.00729178737866666965706873787878089690212886,667$
16Zach Metsa (R)X100.00626089717165656665656870787575075660262775,000$
17Akito HiroseX100.006460917169616166656765717582820876602621$
Rayé
1Quentin Musty (R)X100.00606060606060606060606060606060055580193886,667$
2Riley Heidt (R)X100.00606060606060606060606060606060048580203918,333$
3Brett Harrisson (R)X100.006060606060606060606060606060600195802211$
4Karsen Dorwart (R)X100.00606060606060606060606060606060020580221975,000$
MOYENNE D’ÉQUIPE100.0068628269706969656865666874737306865
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
1Olivier Rodrigue (R)100.00808080808380808080808081810828202411$
Rayé
MOYENNE D’ÉQUIPE100.008080808083808080808080818108282
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mario Barlow70707070707070CAN4621,000,000$


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
1Craig SmithMilwaukee Admirals (NSH)C/RW614777124521210961282729621117.28%47146323.99618242910713491598159.29%127012840041.69132001092
2Axel Sandin-PellikaMilwaukee Admirals (NSH)D715855113571806211728210514520.57%122158222.29155205010340414175610%0119100051.4300000954
3Oliver MooreMilwaukee Admirals (NSH)C82386510361335111982588015414.73%51156119.053912238514561454056.52%98912637031.3203010854
4Kevin KorchinskiMilwaukee Admirals (NSH)D8439621018919559126195968920.00%142173120.617916331311679203630%17993001.1700010093
5Maveric LamoureuxMilwaukee Admirals (NSH)D845047977240516514112724610312320.33%139180621.509817321081235136940%011799011.07008619414
6Alex SteevesMilwaukee Admirals (NSH)C8428517954100164581986211614.14%21134115.9751621311224378584050.88%3407520011.1813000236
7Emil AndraeMilwaukee Admirals (NSH)D7818557339120117123146705512.33%129164221.06358141180222125110%06381000.8900000053
8Arshdeep BainsMilwaukee Admirals (NSH)LW8426457162320131912036312212.81%54162219.3128102314012351343162.07%877539010.8802000134
9Sam MalinskiNashville PredatorsD2429386723004060155656218.71%6564626.9554921394481477210%03744032.0700000903
10Max SassonMilwaukee Admirals (NSH)C8325406523713587922208711211.36%49141817.093255110000241159.54%5619948020.9212124133
11Jason PolinMilwaukee Admirals (NSH)RW841438524934014171150611059.33%28143417.07381120136000000049.06%534029000.7300000120
12Tye FelhaberMilwaukee Admirals (NSH)C84153247372958066124408812.10%40114013.5801106000052148.97%5824225000.8200001112
13Adam RaskaMilwaukee Admirals (NSH)LW/RW6013314438759568130489410.00%33122320.40156139611241362146.03%633628010.7212010125
14Akito HiroseMilwaukee Admirals (NSH)D84162743481756089121485513.22%122148617.7035814951349172010%03792000.5800100101
15Collin GrafMilwaukee Admirals (NSH)C431617332220365899386216.16%2266715.53000000111202058.82%854121000.9900000120
16Lian BichselMilwaukee Admirals (NSH)D2891524193515694079312811.39%4256420.17033939101158100%02827000.8500111012
17Sam LaffertyNashville PredatorsC/LW1161622300172544113213.64%1026624.200224191232350052.43%185255011.6501000200
18Zach MetsaMilwaukee Admirals (NSH)D603111419341024403314259.09%3673412.2500000000000066.67%61225000.3801002000
19Ryan LombergNashville PredatorsC/LW11410145311522174516208.89%422020.051236151233321048.47%163184001.2700102010
20Quentin MustyMilwaukee Admirals (NSH)LW532111322994560314816314.17%2174214.0100000000060059.09%221616000.3500225000
21Tye KartyeNashville PredatorsC/LW1110313475361948151920.83%725423.1820210191123322135.00%20172001.0201001120
22Brett HarrissonMilwaukee Admirals (NSH)C32055-445252720241780%2936211.340000000000000%0512000.2800023000
23Riley HeidtMilwaukee Admirals (NSH)C5413467620368185125.56%83867.1500000000000041.18%3435000.2100031000
24Luke HaymesNashville PredatorsC/LW/RW80224601154360%014017.56011012000000033.33%624000.2800000000
25Karsen DorwartMilwaukee Admirals (NSH)LW901151401646160%315016.7400000000000040.00%505000.1300000000
Statistiques d’équipe totales ou en moyenne1367467757122480910483701738158131481191178014.83%12242459417.99681111793371409233659951741541755.48%447212409010221.00418161939525446
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
1Brandon BussiNashville Predators3524910.9202.78207500961206668100.6673350243
2Olivier RodrigueMilwaukee Admirals (NSH)2919710.9003.751711201071072607300.66792942153
3Callum TungNashville Predators2312830.8913.9812830085778427200.80052040012
Statistiques d’équipe totales ou en moyenne87552450.9063.4150712028830561702601784823108


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
Adam RaskaMilwaukee Admirals (NSH)LW/RW232001-09-25CZEYes178 Lbs5 ft10NoNoFree Agent2024-07-05YesYes12025-08-07FalseFalsePro & Farm1$0$0$No---------------------------Lien NHL
Akito HiroseMilwaukee Admirals (NSH)D261999-04-13CANNo170 Lbs6 ft0NoNoAssign ManuallyYesYes22025-07-03FalseFalsePro & Farm1$0$0$No1$--------1$--------No--------
Alex SteevesMilwaukee Admirals (NSH)C251999-12-10USANo185 Lbs5 ft11NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm850,000$13,351$0$0$No---------------------------Lien NHL
Arshdeep BainsMilwaukee Admirals (NSH)LW242001-01-09CANYes185 Lbs6 ft0NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm775,000$12,173$0$0$No---------------------------
Axel Sandin-PellikaMilwaukee Admirals (NSH)D202005-03-11SWEYes181 Lbs5 ft10NoNoTrade2025-09-28NoNo32025-07-18FalseFalsePro & Farm918,333$14,424$0$0$No1$1$-------1$1$-------NoNo-------
Brett HarrissonMilwaukee Admirals (NSH)C222003-06-07CANYes184 Lbs6 ft3NoNoAssign Manually2024-09-03NoNo12025-07-03FalseFalsePro & Farm1$0$0$No---------------------------
Collin GrafMilwaukee Admirals (NSH)C222002-09-21USANo170 Lbs6 ft0NoNoAssign ManuallyNoNo12025-07-03FalseFalsePro & Farm941,667$14,791$0$0$No---------------------------
Craig SmithMilwaukee Admirals (NSH)C/RW351989-09-05USANo207 Lbs6 ft1NoNoAssign ManuallyYesYes12025-07-03FalseFalseFarm Only1$0$0$No---------------------------Lien NHL
Emil AndraeMilwaukee Admirals (NSH)D232002-02-23SWEYes176 Lbs5 ft9NoNoTrade2026-02-02NoNo12025-07-03FalseFalsePro & Farm903,333$14,188$0$0$No---------------------------
Jason PolinMilwaukee Admirals (NSH)RW261999-06-17USANo184 Lbs5 ft11NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm775,000$12,173$0$0$No---------------------------
Jimmy HuntingtonMilwaukee Admirals (NSH)C261998-11-18CANNo195 Lbs6 ft1NoNoAssign ManuallyYesYes22025-07-03FalseFalsePro & Farm775,000$12,173$0$0$No775,000$--------775,000$--------No--------Lien NHL
Karsen DorwartMilwaukee Admirals (NSH)LW222002-09-17USAYes194 Lbs6 ft1NoNoProspectNoNo12025-07-31FalseFalsePro & Farm975,000$15,314$0$0$No---------------------------
Kevin KorchinskiMilwaukee Admirals (NSH)D212004-06-21CANNo185 Lbs6 ft1NoNoAssign Manually2025-05-23NoNo12025-07-03FalseFalsePro & Farm918,333$14,424$0$0$No---------------------------
Lian BichselMilwaukee Admirals (NSH)D212004-05-18SUIYes209 Lbs6 ft4NoNoAssign Manually2025-06-12NoNo12025-07-03FalseFalsePro & Farm918,333$14,424$0$0$No---------------------------
Maveric LamoureuxMilwaukee Admirals (NSH)D212004-01-13CANYes214 Lbs6 ft7NoNoAssign Manually2025-06-04NoNo22025-07-03FalseFalsePro & Farm886,667$13,927$0$0$No886,667$--------886,667$--------No--------
Max SassonMilwaukee Admirals (NSH)C242000-09-05USAYes181 Lbs6 ft1NoNoProspectNoNo12025-07-31FalseFalsePro & Farm775,000$12,173$0$0$No---------------------------
Oliver MooreMilwaukee Admirals (NSH)C202005-01-22USAYes188 Lbs5 ft11NoNoAssign ManuallyNoNo22025-07-03FalseFalsePro & Farm941,667$14,791$0$0$No941,667$--------941,667$--------No--------
Olivier RodrigueMilwaukee Admirals (NSH)G242000-07-06CANYes156 Lbs6 ft1NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm1$0$0$No---------------------------
Quentin MustyMilwaukee Admirals (NSH)LW192005-07-06USAYes200 Lbs6 ft2NoNoAssign ManuallyNoNo32025-07-03FalseFalsePro & Farm886,667$13,927$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------
Riley HeidtMilwaukee Admirals (NSH)C202005-03-25CANYes177 Lbs5 ft11NoNoAssign ManuallyNoNo32025-07-03FalseFalsePro & Farm918,333$14,424$0$0$No918,333$918,333$-------918,333$918,333$-------NoNo-------
Tye FelhaberMilwaukee Admirals (NSH)C261998-08-05CANNo194 Lbs5 ft11NoNoAssign ManuallyYesYes22025-07-03FalseFalsePro & Farm775,000$12,173$0$0$No775,000$--------775,000$--------No--------Lien NHL
Zach MetsaMilwaukee Admirals (NSH)D261998-10-19USAYes195 Lbs5 ft9NoNoProspectNoNo22025-07-31FalseFalsePro & Farm775,000$12,173$0$0$No1$--------1$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2223.45187 Lbs6 ft01.55668,561$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Arshdeep BainsCraig SmithAlex Steeves29122
2Collin GrafOliver MooreJason Polin28122
3Max SassonAdam Raska28122
4Zach MetsaCraig SmithOliver Moore15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lian BichselAxel Sandin-Pellika25122
2Kevin KorchinskiEmil Andrae25122
3Maveric LamoureuxAkito Hirose25122
4Maveric LamoureuxAxel Sandin-Pellika25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Arshdeep BainsCraig SmithAlex Steeves50122
2Adam RaskaOliver MooreJason Polin50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lian BichselAxel Sandin-Pellika50122
2Kevin KorchinskiEmil Andrae50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Craig SmithArshdeep Bains50122
2Oliver MooreAdam Raska50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lian BichselAxel Sandin-Pellika50122
2Kevin KorchinskiEmil Andrae50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Craig Smith50122Lian BichselAxel Sandin-Pellika50122
2Oliver Moore50122Kevin KorchinskiEmil Andrae50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Craig SmithArshdeep Bains50122
2Oliver MooreAdam Raska50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lian BichselAxel Sandin-Pellika50122
2Kevin KorchinskiEmil Andrae50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Collin GrafOliver MooreCraig SmithLian BichselAxel Sandin-Pellika
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Oliver MooreCollin GrafCraig SmithLian BichselAxel Sandin-Pellika
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Raska, Jason Polin, Tye FelhaberAdam Raska, Jason PolinAdam Raska
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Axel Sandin-Pellika, Lian Bichsel, Zach MetsaAxel Sandin-PellikaMaveric Lamoureux, Akito Hirose
Tirs de pénalité
Craig Smith, Oliver Moore, Alex Steeves, Arshdeep Bains, Adam Raska
Gardien
#1 : , #2 : Olivier Rodrigue
Lignes d’attaque personnalisées en prolongation
Craig Smith, Oliver Moore, Collin Graf, Arshdeep Bains, Adam Raska, Jason Polin, Tye Felhaber, Max Sasson, Alex Steeves,
Lignes de défense personnalisées en prolongation
Kevin Korchinski, Lian Bichsel, Axel Sandin-Pellika, Emil Andrae, Maveric Lamoureux


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
1Abbotsford Canucks2200000014410110000005231100000092741.00014233700182126142971117093295336691710392150.00%5180.00%0952173754.81%1007187053.85%715134753.08%1827115419476581301660
2Bakersfield Condors1010000037-41010000037-40000000000000.00036900182126142931117093295336391410203133.33%5260.00%1952173754.81%1007187053.85%715134753.08%1827115419476581301660
3Belleville Senators1010000013-21010000013-20000000000000.0001230018212614295111709329533633164184125.00%2150.00%0952173754.81%1007187053.85%715134753.08%1827115419476581301660
4Bridgeport Islanders11000000422110000004220000000000021.00046100018212614294011709329533639411205240.00%3166.67%0952173754.81%1007187053.85%715134753.08%1827115419476581301660
5Calgary Wranglers110000001321100000000000110000001321121.000132336001821261429331170932953362584162150.00%20100.00%1952173754.81%1007187053.85%715134753.08%1827115419476581301660
6Charlotte Checkers1010000035-2000000000001010000035-200.0003470018212614292811709329533643206253133.33%3166.67%0952173754.81%1007187053.85%715134753.08%1827115419476581301660
7Chicago Wolves624000002225-3321000001410430300000815-740.33322386000182126142923311709329533620388911441000.00%23865.22%2952173754.81%1007187053.85%715134753.08%1827115419476581301660
8Cleveland Monsters20101000880201010008800000000000020.5008142200182126142969117093295336623010435240.00%5180.00%1952173754.81%1007187053.85%715134753.08%1827115419476581301660
9Coachella Valley Firebirds1000000167-11000000167-10000000000010.50061016001821261429311170932953363721622000%3166.67%0952173754.81%1007187053.85%715134753.08%1827115419476581301660
10Colorado Eagles10001000431000000000001000100043121.0004711001821261429321170932953362910926300.00%20100.00%0952173754.81%1007187053.85%715134753.08%1827115419476581301660
11Grand Rapids Griffins63001110281612320000101376310011001596110.91728437100182126142921211709329533623710213613717741.18%23769.57%2952173754.81%1007187053.85%715134753.08%1827115419476581301660
12Hartford Wolf Pack1010000034-1000000000001010000034-100.000369001821261429391170932953362982213133.33%10100.00%0952173754.81%1007187053.85%715134753.08%1827115419476581301660
13Henderson Silver Knights110000001331011000000133100000000000021.0001320330018212614293411709329533637133025100.00%5180.00%0952173754.81%1007187053.85%715134753.08%1827115419476581301660
14Hershey Bears11000000945000000000001100000094521.000916250018212614293311709329533633139234250.00%2150.00%0952173754.81%1007187053.85%715134753.08%1827115419476581301660
15Iowa Wild95200200494093200010013946320010036315120.667497912800182126142931311709329533637510811417722731.82%32875.00%3952173754.81%1007187053.85%715134753.08%1827115419476581301660
16Laval Rocket1010000026-4000000000001010000026-400.0002350018212614293311709329533642186172150.00%30100.00%0952173754.81%1007187053.85%715134753.08%1827115419476581301660
17Lehigh Valley Phantoms11000000945110000009450000000000021.0009172600182126142941117093295336371282422100.00%40100.00%0952173754.81%1007187053.85%715134753.08%1827115419476581301660
18Manitoba Moose6420000021174321000001064321000001111080.66721365700182126142923311709329533624083881309555.56%19478.95%1952173754.81%1007187053.85%715134753.08%1827115419476581301660
19Ontario Reign1010000026-41010000026-40000000000000.00024600182126142938117093295336338716100.00%10100.00%0952173754.81%1007187053.85%715134753.08%1827115419476581301660
20Providence Bruins220000002161500000000000220000002161541.00021315200182126142974117093295336592929352150.00%6266.67%1952173754.81%1007187053.85%715134753.08%1827115419476581301660
21Rochester Americans33000000165112200000011291100000053261.0001628440018212614291071170932953361044927594125.00%13284.62%1952173754.81%1007187053.85%715134753.08%1827115419476581301660
22Rockford IceHogs74300000393543210000015114422000002424080.57139611000018212614292751170932953362619979158261038.46%17852.94%0952173754.81%1007187053.85%715134753.08%1827115419476581301660
23San Diego Gulls33000000313281100000011110220000002021861.000314778001821261429105117093295336983274586350.00%12283.33%1952173754.81%1007187053.85%715134753.08%1827115419476581301660
24San Jose Barracuda2010100089-1000000000002010100089-120.5008122000182126142973117093295336683135446233.33%5180.00%0952173754.81%1007187053.85%715134753.08%1827115419476581301660
25Springfield Thunderbirds126500001464248610000137231440400000919-10130.542467311900182126142943711709329533644417114322922731.82%441272.73%6952173754.81%1007187053.85%715134753.08%1827115419476581301660
26Syracuse Crunch1100000010280000000000011000000102821.000101828001821261429371170932953363211112111100.00%3166.67%0952173754.81%1007187053.85%715134753.08%1827115419476581301660
27Texas Stars66000000571740330000002652133000000311219121.0005787144001821261429222117093295336205865211813538.46%16475.00%3952173754.81%1007187053.85%715134753.08%1827115419476581301660
28Toronto Marlies11000000514110000005140000000000021.000581300182126142938117093295336331321173266.67%30100.00%0952173754.81%1007187053.85%715134753.08%1827115419476581301660
29Tucson Roadrunners10000010211100000102110000000000021.000213001821261429371170932953363320225200.00%10100.00%0952173754.81%1007187053.85%715134753.08%1827115419476581301660
30Utica Comets10001000211000000000001000100021121.0002240018212614293611709329533638191017200.00%5180.00%0952173754.81%1007187053.85%715134753.08%1827115419476581301660
31Wilkes-Barre/Scranton Penguins11000000624110000006240000000000021.0006915001821261429391170932953363992412300.00%20100.00%0952173754.81%1007187053.85%715134753.08%1827115419476581301660
Total8448240532245729016742288011222141209442201604200243170731150.6854577341191001821261429307511709329533630561162106817361886635.11%2707074.07%23952173754.81%1007187053.85%715134753.08%1827115419476581301660
_Since Last GM Reset8448240532245729016742288011222141209442201604200243170731150.6854577341191001821261429307511709329533630561162106817361886635.11%2707074.07%23952173754.81%1007187053.85%715134753.08%1827115419476581301660
_Vs Conference5431140332131219511725165001211337558291590320017912059760.7043124978090018212614291973117093295336198974074711551234234.15%1714772.51%14952173754.81%1007187053.85%715134753.08%1827115419476581301660
_Vs Division422411013102181556321133001101035548211180120011510015550.65521834456200182126142915491170932953361587577487863973435.05%1313672.52%13952173754.81%1007187053.85%715134753.08%1827115419476581301660

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
84115L145773411913075305611621068173600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8448245322457290
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
422881122214120
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4220164200243170
Derniers 10 matchs
WLOTWOTL SOWSOL
540010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1886635.11%2707074.07%23
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
1170932953361821261429
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
952173754.81%1007187053.85%715134753.08%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1827115419476581301660


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
28Milwaukee Admirals3Springfield Thunderbirds4LSommaire du match
425Springfield Thunderbirds4Milwaukee Admirals6WSommaire du match
643Milwaukee Admirals3Springfield Thunderbirds5LSommaire du match
753Springfield Thunderbirds3Milwaukee Admirals2LXXSommaire du match
858Milwaukee Admirals4Iowa Wild10LSommaire du match
1185Springfield Thunderbirds1Milwaukee Admirals4WSommaire du match
1289Milwaukee Admirals10Iowa Wild6WSommaire du match
15116Springfield Thunderbirds1Milwaukee Admirals4WSommaire du match
18138Milwaukee Admirals9Texas Stars1WSommaire du match
20149Springfield Thunderbirds6Milwaukee Admirals5LSommaire du match
23170Milwaukee Admirals4Chicago Wolves7LSommaire du match
25179Manitoba Moose3Milwaukee Admirals5WSommaire du match
27194Milwaukee Admirals7Grand Rapids Griffins1WSommaire du match
29211Chicago Wolves4Milwaukee Admirals6WSommaire du match
30215Milwaukee Admirals5Rockford IceHogs6LSommaire du match
31221Milwaukee Admirals12Iowa Wild4WSommaire du match
35250Rockford IceHogs3Milwaukee Admirals4WSommaire du match
37263Milwaukee Admirals5Manitoba Moose3WSommaire du match
39280Manitoba Moose1Milwaukee Admirals4WSommaire du match
41293Milwaukee Admirals5Manitoba Moose2WSommaire du match
43302Milwaukee Admirals11Texas Stars7WSommaire du match
44316Rockford IceHogs6Milwaukee Admirals5LSommaire du match
47337Milwaukee Admirals10Rockford IceHogs6WSommaire du match
49349Springfield Thunderbirds3Milwaukee Admirals5WSommaire du match
52372Milwaukee Admirals3Rockford IceHogs10LSommaire du match
53382Iowa Wild2Milwaukee Admirals4WSommaire du match
57407Milwaukee Admirals5Grand Rapids Griffins4WXSommaire du match
58413Chicago Wolves4Milwaukee Admirals7WSommaire du match
61436Cleveland Monsters4Milwaukee Admirals3LSommaire du match
63455Milwaukee Admirals9San Diego Gulls1WSommaire du match
65469Springfield Thunderbirds3Milwaukee Admirals4WSommaire du match
66478Milwaukee Admirals4Iowa Wild5LXSommaire du match
69498Milwaukee Admirals1Chicago Wolves4LSommaire du match
70508Texas Stars3Milwaukee Admirals12WSommaire du match
73531Milwaukee Admirals13Calgary Wranglers2WSommaire du match
75541Iowa Wild4Milwaukee Admirals3LXSommaire du match
76549Milwaukee Admirals5Rochester Americans3WSommaire du match
80570Wilkes-Barre/Scranton Penguins2Milwaukee Admirals6WSommaire du match
83592Milwaukee Admirals1Springfield Thunderbirds5LSommaire du match
85605Grand Rapids Griffins2Milwaukee Admirals6WSommaire du match
87624Milwaukee Admirals2Springfield Thunderbirds5LSommaire du match
89636Toronto Marlies1Milwaukee Admirals5WSommaire du match
91648Milwaukee Admirals4Colorado Eagles3WXSommaire du match
93667Bridgeport Islanders2Milwaukee Admirals4WSommaire du match
95686Milwaukee Admirals9Hershey Bears4WSommaire du match
97700Rochester Americans1Milwaukee Admirals5WSommaire du match
100717Milwaukee Admirals5San Jose Barracuda7LSommaire du match
102731Chicago Wolves2Milwaukee Admirals1LSommaire du match
104749Milwaukee Admirals3Charlotte Checkers5LSommaire du match
106760Milwaukee Admirals6Rockford IceHogs2WSommaire du match
107767Rochester Americans1Milwaukee Admirals6WSommaire du match
110789Milwaukee Admirals2Laval Rocket6LSommaire du match
111799Texas Stars1Milwaukee Admirals9WSommaire du match
114819Milwaukee Admirals3San Jose Barracuda2WXSommaire du match
115829Bakersfield Condors7Milwaukee Admirals3LSommaire du match
118848Milwaukee Admirals11San Diego Gulls1WSommaire du match
119861Tucson Roadrunners1Milwaukee Admirals2WXXSommaire du match
121877Milwaukee Admirals2Utica Comets1WXSommaire du match
123894Cleveland Monsters4Milwaukee Admirals5WXSommaire du match
126908Milwaukee Admirals3Chicago Wolves4LSommaire du match
128924San Diego Gulls1Milwaukee Admirals11WSommaire du match
130933Milwaukee Admirals11Texas Stars4WSommaire du match
133958Springfield Thunderbirds2Milwaukee Admirals7WSommaire du match
137986Manitoba Moose2Milwaukee Admirals1LSommaire du match
1391004Milwaukee Admirals3Hartford Wolf Pack4LSommaire du match
1411018Iowa Wild3Milwaukee Admirals6WSommaire du match
1431032Milwaukee Admirals10Syracuse Crunch2WSommaire du match
1451046Milwaukee Admirals9Abbotsford Canucks2WSommaire du match
1471054Abbotsford Canucks2Milwaukee Admirals5WSommaire du match
1491072Milwaukee Admirals3Grand Rapids Griffins4LXSommaire du match
1501082Texas Stars1Milwaukee Admirals5WSommaire du match
1511089Milwaukee Admirals11Providence Bruins3WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1551116Coachella Valley Firebirds7Milwaukee Admirals6LXXSommaire du match
1571123Milwaukee Admirals10Providence Bruins3WSommaire du match
1591148Rockford IceHogs2Milwaukee Admirals6WSommaire du match
1631178Ontario Reign6Milwaukee Admirals2LSommaire du match
1671203Lehigh Valley Phantoms4Milwaukee Admirals9WSommaire du match
1701230Belleville Senators3Milwaukee Admirals1LSommaire du match
1721243Milwaukee Admirals5Iowa Wild4WSommaire du match
1751266Henderson Silver Knights3Milwaukee Admirals13WSommaire du match
1781279Milwaukee Admirals1Iowa Wild2LSommaire du match
1821300Grand Rapids Griffins3Milwaukee Admirals4WXXSommaire du match
1851319Grand Rapids Griffins2Milwaukee Admirals3WSommaire du match
1871331Milwaukee Admirals1Manitoba Moose6LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$3000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,643,768$ 1,470,833$ 1,470,833$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,701$ 1,659,467$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 3 12,936$ 38,808$




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