Day : 157
MIN - 1
CLB - 3
QUE - 3
CAR - 1
DET - 2
CHI - 6
SEA - 5
DAL - 1
MAN - 5
GAT - 2
SAR - 2
PAR - 6
TRL - 3
JOL - 5
Day : 158
(47-21-5) - L1
(43-26-6) - W3
(45-22-6) - W2
(16-49-11) - L1
(19-50-6) - W2
(33-37-6) - L2
(45-23-5) - W4
(13-59-4) - L6
(54-16-4) - W2
(54-10-3) - W9
(37-32-6) - L1
(23-46-2) - L9
(29-36-9) - W2
(28-37-7) - W2
(23-42-8) - L3
(40-27-5) - L1
(34-33-5) - L5
(34-19-1) - W1
(48-18-7) - W1
(48-41-2) - L3

Milwaukee Admirals
GP: 72 | W: 51 | L: 13 | OTL: 8 | P: 110
GF: 313 | GA: 208 | PP%: 25.64% | PK%: 85.07%
DG: Mathieu Boudreault | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #1179 vs Chisinau Pelicans
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Centre de jeu
Chicago Wolves
38-27-6, 82pts
0
FINAL
7 Milwaukee Admirals
51-13-8, 110pts
Team Stats
L2SéquenceL1
21-11-3Fiche domicile28-3-4
17-16-3Fiche domicile23-10-4
5-4-1Derniers 10 matchs6-4-0
3.08Buts par match 4.35
3.44Buts contre par match 2.89
16.52%Pourcentage en avantage numérique25.64%
78.35%Pourcentage en désavantage numérique85.07%
Milwaukee Admirals
51-13-8, 110pts
4
FINAL
5 The Nuuk Vikings
34-27-6, 74pts
Team Stats
L1SéquenceW1
28-3-4Fiche domicile18-13-5
23-10-4Fiche domicile16-14-1
6-4-0Derniers 10 matchs4-4-2
4.35Buts par match 3.81
2.89Buts contre par match 3.79
25.64%Pourcentage en avantage numérique22.53%
85.07%Pourcentage en désavantage numérique81.31%
Chisinau Pelicans
29-33-8, 66pts
Jour 159
Milwaukee Admirals
51-13-8, 110pts
Statistiques d’équipe
W2SéquenceL1
18-15-3Fiche domicile28-3-4
11-18-5Fiche visiteur23-10-4
5-3-210 derniers matchs6-4-0
3.31Buts par match 4.35
3.80Buts contre par match 4.35
18.86%Pourcentage en avantage numérique25.64%
75.95%Pourcentage en désavantage numérique85.07%
Milwaukee Admirals
51-13-8, 110pts
Jour 161
The Nuuk Vikings
34-27-6, 74pts
Statistiques d’équipe
L1SéquenceW1
28-3-4Fiche domicile18-13-5
23-10-4Fiche visiteur16-14-1
6-4-010 derniers matchs4-4-2
4.35Buts par match 3.81
2.89Buts contre par match 3.81
25.64%Pourcentage en avantage numérique22.53%
85.07%Pourcentage en désavantage numérique81.31%
Quebec Stars
41-19-8, 90pts
Jour 163
Milwaukee Admirals
51-13-8, 110pts
Statistiques d’équipe
W3SéquenceL1
26-6-4Fiche domicile28-3-4
15-13-4Fiche visiteur23-10-4
7-2-110 derniers matchs6-4-0
3.88Buts par match 4.35
3.21Buts contre par match 4.35
18.85%Pourcentage en avantage numérique25.64%
87.31%Pourcentage en désavantage numérique85.07%
Meneurs d'équipe
Buts
Morgan Barron
39
Passes
Morgan Barron
55
Points
Morgan Barron
94
Plus/Moins
Matt Kessel
47
Victoires
Magnus Hellberg
30
Pourcentage d’arrêts
Pheonix Copley
0.91

Statistiques d’équipe
Buts pour
313
4.35 GFG
Tirs pour
2269
31.51 Avg
Pourcentage en avantage numérique
25.6%
60 GF
Début de zone offensive
35.3%
Buts contre
208
2.89 GAA
Tirs contre
2246
31.19 Avg
Pourcentage en désavantage numérique
85.1%%
40 GA
Début de la zone défensive
39.2%
Informations de l'équipe

Directeur généralMathieu Boudreault
EntraîneurDean Evason
DivisionGrands Lacs
ConférenceHamel
CapitaineBrett Connolly
Assistant #1Markus Granlund
Assistant #2Nikita Tryamkin


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 50
Espoirs39


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 moyen
1Travis BoydXXX100.0073359779798681807474727175898515000311800,000$
2Gemel SmithXXX100.0082428082788377787673727071857815000301800,000$
3Cole Guttman (R)X100.00683079797783847875737467776870650002521,000,000$
4Morgan Barron (R)XX100.00804580798582868174757467767373650002611,400,000$
5Josh Dunne (R)X100.00854378788582877978757367747272650002611,200,000$
6Jaydon Dureau (R)X100.0065428978748181776772716472677065000231850,000$
7Zach Aston-ReeseXX100.0084478280828079797672727174767615000301800,000$
8Brett Connolly (C)XX100.0083458180808282806775746977999915000321850,000$
9David KampfXX100.0066259481788172807574727172847915000291850,000$
10Markus Granlund (A)XX100.0065309685758076787574736776939315000311800,000$
11Stefan NoesenXX100.0082428582848076796872736974869815000311800,000$
12Karson KuhlmanXX100.00632597847382778276747373818282150002912,000,000$
13Matt Kessel (R)X100.0086508076848383775073648656727065000243900,000$
14Dean KukanX100.0077338375828175765074678960777515000311850,000$
15Nikita Tryamkin (A)X100.0093457672867871765074669060858315000301850,000$
16Louis Crevier (R)X100.0084257975888281755071638762706865000233900,000$
17Emil Martinsen Lilleberg (R)X100.0082357777828380785574628760676765000233900,000$
18Matt BenningX100.00854078788576707950736687678484550003011,000,000$
Rayé
1Jan Drozg (R)X100.0075308278797979767071706677747255000251850,000$
2Alec MartinezX100.0071388970787472755073648770999915000371900,000$
3Cole Clayton (R)X100.0081467874818080765072648460676865000241800,000$
MOYENNE D’ÉQUIPE100.007838847881817978657369767079793500
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 moyen
1Magnus Hellberg100.0084788393888889878687847881150003311,000,000$
2Pheonix Copley100.0086828588899091898987868582150003211,500,000$
Rayé
MOYENNE D’ÉQUIPE100.00858084918989908888878582821500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dean Evason82828483828070CAN6012,000,000$


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 POSTeam GP 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
1Morgan BarronC/LWMilwaukee Admirals (NSH)723955943330099461918513020.42%18127017.6413193242188000067256.25%6412615011.4813000778
2Cole GuttmanCMilwaukee Admirals (NSH)723749863528052771864811819.89%12127217.6710203041188000025248.83%11968119021.3505000925
3Brett ConnollyLW/RWMilwaukee Admirals (NSH)7226558134320116422236415611.66%20125917.4911152649187000003145.31%6411119031.2925000357
4Markus GranlundC/LWMilwaukee Admirals (NSH)72224163170038341396712515.83%10104814.574121626167000004050.00%5412013001.2001000222
5Karson KuhlmanC/RWMilwaukee Admirals (NSH)72362460232037951825211019.78%26122517.0300001516273467251.64%5509926010.9815000643
6Josh DunneCMilwaukee Admirals (NSH)722135561732014559122439417.21%19106614.811051539168000003154.79%8455117011.0501000332
7Gemel SmithC/LW/RWMilwaukee Admirals (NSH)72183149834011756125459114.40%1895613.29011011122962051.97%5336722001.0200000222
8David KampfC/RWMilwaukee Admirals (NSH)722227497803739140408515.71%14106914.868513281670002475051.79%569212000.9200000205
9Matt KesselDMilwaukee Admirals (NSH)72340434758011812510143442.97%73142819.850101019204000054100.00%0570000.6000000022
10Stefan NoesenLW/RWMilwaukee Admirals (NSH)72182341252357327130477213.85%66839.5000000000002025.00%206710001.2001000231
11Zach Aston-ReeseC/RWMilwaukee Admirals (NSH)7216233923160746097366916.49%1179911.10000001126803048.89%4075117000.9811000411
12Travis BoydC/LW/RWMilwaukee Admirals (NSH)721324371240376313643939.56%22118816.5100001145223403147.17%536014000.6201000312
13Louis CrevierDMilwaukee Admirals (NSH)725242911640971317233446.94%109143219.902134670111212100.00%0477000.4000000110
14Jaydon DureauLWMilwaukee Admirals (NSH)711216282260191884274114.29%66639.3500000000000235.29%17407000.8400000013
15Dean KukanDMilwaukee Admirals (NSH)697212831340601547145419.86%83139120.160443660113177020.00%0663000.4000000021
16Emil Martinsen LillebergDMilwaukee Admirals (NSH)7252025385201131548336396.02%100155721.64167172110112128200.00%0265000.3200000021
17Nikita TryamkinDMilwaukee Admirals (NSH)5761521305801171108321267.23%95114020.00000120002197100.00%0359000.3700000011
18Matt BenningDMilwaukee Admirals (NSH)674162016801161007444365.41%87136620.39134171370110132000.00%0267000.2900000030
19Alec MartinezDMilwaukee Admirals (NSH)241566008313016133.33%3240917.05000024000022000.00%0118000.2900000000
20Cole ClaytonDMilwaukee Admirals (NSH)3000000000000.00%110.500000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne12993115448554205495147314212269835142713.71%7622123216.3560101161286178881119671848491350.89%3859988610080.81523000444246
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
1Magnus HellbergMilwaukee Admirals (NSH)4230810.9092.782435031131235657300.75084131570
2Pheonix CopleyMilwaukee Admirals (NSH)3421570.9102.84192121911010527010.733153141220
Statistiques d’équipe totales ou en moyenne76511380.9092.814356242042245118431237272790


Nom du joueur POS Âge Date de naissance Termes Contrat Cap % Année 2024Année 2025Année 2026Année 2027Année 2028Année 2029Année 2030
Attaquant
Brett ConnollyLW/RW321992-01-22TW 10.00%850,000$UFA [Age: 33]
Cole GuttmanC251999-01-02TW 20.00%1,000,000$1,000,000$RFA ( Groupe: 2 ) [Age: 27]
David KampfC/RW291995-01-22TW 10.00%850,000$UFA [Age: 30]
Gemel SmithC/LW/RW301994-01-02TW 10.00%800,000$UFA [Age: 31]
Jan DrozgLW251999-01-02TW 10.00%850,000$RFA ( Groupe: 2 ) [Age: 26]
Jaydon DureauLW232001-01-02TW 10.00%850,000$RFA ( Groupe: 2 ) [Age: 24]
Josh DunneC261998-01-02TW 10.00%1,200,000$RFA ( Groupe: 2 ) [Age: 27]
Karson KuhlmanC/RW291995-01-22TW 10.00%2,000,000$UFA [Age: 30]
Markus GranlundC/LW311993-01-22TW 10.00%800,000$UFA [Age: 32]
Morgan BarronC/LW261998-01-02TW 10.00%1,400,000$RFA ( Groupe: 2 ) [Age: 27]
Stefan NoesenLW/RW311993-01-22TW 10.00%800,000$UFA [Age: 32]
Travis BoydC/LW/RW311993-01-02TW 10.00%800,000$UFA [Age: 32]
Zach Aston-ReeseC/RW301994-01-22TW 10.00%800,000$UFA [Age: 31]
MOYENNE (13)28.310.00%0$1,000,000$0$0$0$0$0$
Défenseur
Alec MartinezD371987-01-22TW 10.00%900,000$UFA [Age: 38]
Cole ClaytonD242000-01-02TW 10.00%800,000$RFA ( Groupe: 2 ) [Age: 25]
Dean KukanD311993-01-22TW 10.00%850,000$UFA [Age: 32]
Emil Martinsen LillebergD232001-01-02TW 30.00%900,000$900,000$900,000$RFA ( Groupe: 2 ) [Age: 26]
Louis CrevierD232001-01-02TW 30.00%900,000$900,000$900,000$RFA ( Groupe: 2 ) [Age: 26]
Matt BenningD301994-01-22TW 10.00%1,000,000$UFA [Age: 31]
Matt KesselD242000-01-02TW 30.00%900,000$900,000$900,000$RFA ( Groupe: 2 ) [Age: 27]
Nikita TryamkinD301994-01-22TW 10.00%850,000$UFA [Age: 31]
MOYENNE (8)27.750.00%0$2,700,000$2,700,000$0$0$0$0$
Gardiens
Magnus HellbergG331991-01-02TW 10.00%1,000,000$UFA [Age: 34]
Pheonix CopleyG321992-01-02TW 10.00%1,500,000$UFA [Age: 33]

Légendes des Termes : FV = Ballotage forcé / NT = Non-échange / IN = Blessure / TW = Contract Deux Côté ('Can Play Pro' + 'Can Play Farm')

Note: Les montants de cap salarial pour l’année courant et le % de cap salariale sont basé sur un calcul du plafond salariale simple (Salaire Moyen ou Salaire de l’année selon vos options). Si votre plafond salarial est basé sur la calcul complexe, les résultats de cette analyse pourrait être légèrement incorrects. Le plafond salarial professionnel de l’année en cours est : 89,000,050$.




Attaque à 5 contre 5
Ligne # Ailier gauche Centre Ailier droit % temps PHY DF OF
1Morgan BarronCole GuttmanBrett Connolly32023
2Markus GranlundJosh DunneKarson Kuhlman28023
3Travis BoydGemel SmithDavid Kampf25023
4Brett ConnollyZach Aston-ReeseStefan Noesen15023
Défense à 5 contre 5
Ligne # Défense Défense % temps PHY DF OF
1Nikita TryamkinEmil Martinsen Lilleberg35131
2Dean KukanMatt Kessel33131
3Matt BenningLouis Crevier32131
4Matt KesselMatt Benning0032
Attaque en avantage numérique
Ligne # Ailier gauche Centre Ailier droit % temps PHY DF OF
1Morgan BarronCole GuttmanBrett Connolly60005
2Markus GranlundJosh DunneDavid Kampf40005
Défense en avantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Matt KesselEmil Martinsen Lilleberg60113
2Louis CrevierMatt Benning40113
Attaque à 4 en désavantage numérique
Ligne # Centre Ailier % temps PHY DF OF
1Karson KuhlmanTravis Boyd60041
2Zach Aston-ReeseGemel Smith40041
Défense à 4 en désavantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Dean KukanNikita Tryamkin60050
2Louis CrevierMatt Benning40050
3 joueurs en désavantage numérique
Ligne # Ailier % temps PHY DF OF Défense Défense % temps PHY DF OF
1Karson Kuhlman60050Dean KukanNikita Tryamkin60050
2Travis Boyd40050Louis CrevierMatt Benning40050
Attaque à 4 contre 4
Ligne # Centre Ailier % temps PHY DF OF
1Cole GuttmanMorgan Barron60023
2Josh DunneBrett Connolly40023
Défense à 4 contre 4
Ligne # Défense Défense % temps PHY DF OF
1Nikita TryamkinEmil Martinsen Lilleberg60131
2Matt BenningMatt Kessel40131
Attaque dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Morgan BarronCole GuttmanBrett ConnollyDean KukanNikita Tryamkin
Défense dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Travis BoydKarson KuhlmanDavid KampfDean KukanNikita Tryamkin
Attaquants supplémentaires
Normal Avantage numérique Désavantage numérique
Cole Guttman, Josh Dunne, Morgan BarronKarson Kuhlman, Travis BoydDavid Kampf
Défenseurs supplémentaires
Normal Avantage numérique Désavantage numérique
Dean Kukan, Matt Benning, Emil Martinsen LillebergDean KukanEmil Martinsen Lilleberg, Matt Kessel
Tirs de pénalité
Brett Connolly, Cole Guttman, Karson Kuhlman, Morgan Barron, Markus Granlund
Gardien
#1 : Magnus Hellberg, #2 : Pheonix Copley
Lignes d’attaque personnalisées en prolongation
Cole Guttman, Morgan Barron, Josh Dunne, Brett Connolly, Karson Kuhlman, Markus Granlund, Markus Granlund, Travis Boyd, David Kampf, Gemel Smith, Stefan Noesen
Lignes de défense personnalisées en prolongation
Nikita Tryamkin, Emil Martinsen Lilleberg, Matt Kessel, Matt Benning, Louis Crevier


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
1Albany Devils11000000523000000000001100000052321.000581300110105911032759721766462966243133.33%3166.67%0700134652.01%772149551.64%49297750.36%1630105116405831089542
2Binghamton Senators33000000826220000005141100000031261.000812200111010591108275972176646943028627228.57%14192.86%0700134652.01%772149551.64%49297750.36%1630105116405831089542
3Blainville-Boisbriand Armada20200000512-71010000027-51010000035-200.000581310110105911061759721766466718144310110.00%7185.71%0700134652.01%772149551.64%49297750.36%1630105116405831089542
4Bridgeport Sound Tigers22000000927000000000002200000092741.000914230011010591106175972176646571623457457.14%5180.00%0700134652.01%772149551.64%49297750.36%1630105116405831089542
5Charlotte Checkers20200000810-21010000056-11010000034-100.00081220001101059110617597217664658171644500.00%8275.00%2700134652.01%772149551.64%49297750.36%1630105116405831089542
6Chicago Wolves310010011367110000007072000100166050.833132437011101059110105759721766468732405411327.27%19384.21%1700134652.01%772149551.64%49297750.36%1630105116405831089542
7Chicoutimi Saguenéens20101000660000000000002010100066020.50061117001101059110737597217664650181035600.00%50100.00%0700134652.01%772149551.64%49297750.36%1630105116405831089542
8Chisinau Pelicans11000000321000000000001100000032121.000358001101059110347597217664625410216116.67%5180.00%0700134652.01%772149551.64%49297750.36%1630105116405831089542
9Connecticut Whale11000000826110000008260000000000021.00081523001101059110317597217664640146214250.00%30100.00%0700134652.01%772149551.64%49297750.36%1630105116405831089542
10Danbury Trashers22000000835220000008350000000000041.00081523001101059110597597217664662171444200.00%7185.71%0700134652.01%772149551.64%49297750.36%1630105116405831089542
11Gatineau Olympiques440000001569220000008352200000073481.000152237001101059110114759721766461134422878225.00%11190.91%0700134652.01%772149551.64%49297750.36%1630105116405831089542
12Grand Rapids Griffins53001100199102200000011293100110087190.90019345300110105911014675972176646144544411213215.38%220100.00%0700134652.01%772149551.64%49297750.36%1630105116405831089542
13Hamilton Bulldogs2110000079-2110000004311010000036-320.500712190011010591106075972176646711818345240.00%9188.89%0700134652.01%772149551.64%49297750.36%1630105116405831089542
14Henderson Silver Knights11000000413000000000001100000041321.000481200110105911036759721766463484236116.67%2150.00%0700134652.01%772149551.64%49297750.36%1630105116405831089542
15Houston Aeros11000000743000000000001100000074321.00071017001101059110317597217664631912267342.86%6183.33%1700134652.01%772149551.64%49297750.36%1630105116405831089542
16Joliette Sportif220000001367110000008441100000052341.0001323360011010591107175972176646622712354125.00%6266.67%0700134652.01%772149551.64%49297750.36%1630105116405831089542
17Lake Erie Monsters3210000015962200000014771010000012-140.6671526410011010591101007597217664693342262300.00%11190.91%0700134652.01%772149551.64%49297750.36%1630105116405831089542
18Laval Chiefs1000010078-1000000000001000010078-110.50071219001101059110347597217664634108153266.67%4250.00%1700134652.01%772149551.64%49297750.36%1630105116405831089542
19Manitoba Moose431000001713400000000000431000001713460.7501731480011010591101187597217664611347261011119.09%13376.92%0700134652.01%772149551.64%49297750.36%1630105116405831089542
20Norfolk Admirals2200000014590000000000022000000145941.0001423370011010591107675972176646562910458337.50%50100.00%0700134652.01%772149551.64%49297750.36%1630105116405831089542
21Portland Crying Chiwawas200000111010020000011101000000000000030.750101727001101059110637597217664665271236600.00%6350.00%0700134652.01%772149551.64%49297750.36%1630105116405831089542
22Providence Bruins11000000642110000006420000000000021.00061117001101059110347597217664637106263266.67%3166.67%1700134652.01%772149551.64%49297750.36%1630105116405831089542
23Quebec Stars11000000413000000000001100000041321.000471100110105911031759721766463074204250.00%20100.00%0700134652.01%772149551.64%49297750.36%1630105116405831089542
24Roberval Dwarfs412000011619-32100000197220200000712-530.3751631470011010591101287597217664614336427512216.67%21480.95%0700134652.01%772149551.64%49297750.36%1630105116405831089542
25Rochester Americans330000002081222000000155101100000053261.0002035550011010591109275972176646953618609111.11%9188.89%1700134652.01%772149551.64%49297750.36%1630105116405831089542
26San Antonio Rampage1000010034-1000000000001000010034-110.500358001101059110267597217664633171019300.00%5180.00%0700134652.01%772149551.64%49297750.36%1630105116405831089542
27San Jose Barracuda20001010972100010005411000001043141.0009152400110105911068759721766466326103213430.77%5260.00%0700134652.01%772149551.64%49297750.36%1630105116405831089542
28Springfield Falcons10001000541100010005410000000000021.0005813001101059110287597217664631912193133.33%6183.33%0700134652.01%772149551.64%49297750.36%1630105116405831089542
29The Nuuk Vikings32100000151142200000011651010000045-140.6671524390011010591101107597217664610534185110330.00%9188.89%0700134652.01%772149551.64%49297750.36%1630105116405831089542
30Trois-Rivières Lions31100100651210001006421010000001-130.5006101601110105911093759721766469430185713215.38%90100.00%0700134652.01%772149551.64%49297750.36%1630105116405831089542
31Verdun Junior3210000010732110000067-11100000040440.667102030011101059110907597217664610035227014535.71%11190.91%0700134652.01%772149551.64%49297750.36%1630105116405831089542
32Wilkes-Barre/Scranton Penguins430001001811743000100181170000000000070.8751836540011010591101217597217664613043347515746.67%17288.24%1700134652.01%772149551.64%49297750.36%1630105116405831089542
Total7244130552331320810535253022121711007137191003311142108341100.764313544857141101059110226975972176646224676255114732346025.64%2684085.07%8700134652.01%772149551.64%49297750.36%1630105116405831089542
_Since Last GM Reset7244130552331320810535253022121711007137191003311142108341100.764313544857141101059110226975972176646224676255114732346025.64%2684085.07%8700134652.01%772149551.64%49297750.36%1630105116405831089542
_Vs Conference4224100330216211844201620010191514022880320171674590.70216228144314110105911013327597217664613124313328331293023.26%1651988.48%2700134652.01%772149551.64%49297750.36%1630105116405831089542
_Vs Division1991021017953269700000041212010210210138326240.6327913821702110105911060475972176646602206142379611219.67%71888.73%2700134652.01%772149551.64%49297750.36%1630105116405831089542

Total pour les joueurs
Matchs joués Points Séquence Buts Passes Points Tirs pour Tirs contre Tirs bloqués Minutes de pénalités Mises en échec Buts en filet désert Blanchissages
72110L131354485722692246762551147314
Tous les matchs
GP W L OTW OTL SOWSOL GF GA
7244135523313208
Matchs locaux
GP W L OTW OTL SOWSOL GF GA
352532212171100
Matchs extérieurs
GP W L OTW OTL SOWSOL GF GA
3719103311142108
Derniers 10 matchs
W L OTW OTL SOWSOL
640000
Tentatives en avantage numérique Buts en avantage numérique % en avantage numérique Tentatives en désavantage numérique Buts contre en désavantage numérique % en désavantage numérique Buts pour en désavantage numérique
2346025.64%2684085.07%8
Tirs en 1e période Tirs en 2e période Tirs en 3e période Tirs en 4e période Buts en 1e période Buts en 2e période Buts en 3e période Buts en 4e période
759721766461101059110
Mises en jeu
Gagnées en zone offensive Total en zone offensive % gagnées en zone offensive Gagnées en zone défensive Total en zone défensive % gagnées en zone défensive Gagnées en zone neutre Total en zone neutre % gagnées en zone neutre
700134652.01%772149551.64%49297750.36%
Temps avec la rondelle
En zone offensive Contrôle en zone offensive En zone défensive Contrôle en zone défensive En zone neutre Contrôle en zone neutre
1630105116405831089542


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
Jour:2
217Milwaukee Admirals3Manitoba Moose2WSommaire du match
Jour:4
426Wilkes-Barre/Scranton Penguins2Milwaukee Admirals6WSommaire du match
Jour:6
645Roberval Dwarfs5Milwaukee Admirals8WSommaire du match
Jour:8
858Milwaukee Admirals3Grand Rapids Griffins4LXSommaire du match
Jour:9
967Milwaukee Admirals3Manitoba Moose5LSommaire du match
Jour:12
1284Milwaukee Admirals5Roberval Dwarfs7LSommaire du match
Jour:15
1596Wilkes-Barre/Scranton Penguins4Milwaukee Admirals5WSommaire du match
Jour:16
16105Milwaukee Admirals5Bridgeport Sound Tigers1WSommaire du match
Jour:18
18124Wilkes-Barre/Scranton Penguins1Milwaukee Admirals4WSommaire du match
Jour:21
21150Binghamton Senators0Milwaukee Admirals3WSommaire du match
Jour:22
22156Milwaukee Admirals4Gatineau Olympiques2WSommaire du match
Jour:24
24174Milwaukee Admirals4Chicago Wolves3WXSommaire du match
Jour:26
26193Portland Crying Chiwawas6Milwaukee Admirals7WXXSommaire du match
Jour:28
28215Rochester Americans3Milwaukee Admirals6WSommaire du match
Jour:29
29226Milwaukee Admirals4Bridgeport Sound Tigers1WSommaire du match
Jour:31
31240Milwaukee Admirals5Manitoba Moose3WSommaire du match
Jour:33
33256Gatineau Olympiques2Milwaukee Admirals4WSommaire du match
Jour:38
38281Milwaukee Admirals3Gatineau Olympiques1WSommaire du match
Jour:39
39290Lake Erie Monsters5Milwaukee Admirals6WSommaire du match
Jour:42
42312Milwaukee Admirals3San Antonio Rampage4LXSommaire du match
Jour:44
44323Verdun Junior4Milwaukee Admirals0LSommaire du match
Jour:46
46345Milwaukee Admirals3Chisinau Pelicans2WSommaire du match
Jour:47
47355Rochester Americans2Milwaukee Admirals9WSommaire du match
Jour:50
50376Milwaukee Admirals4Chicoutimi Saguenéens3WXSommaire du match
Jour:52
52389Grand Rapids Griffins1Milwaukee Admirals7WSommaire du match
Jour:55
55417Wilkes-Barre/Scranton Penguins4Milwaukee Admirals3LXSommaire du match
Jour:56
56434Milwaukee Admirals5Joliette Sportif2WSommaire du match
Jour:58
58449Joliette Sportif4Milwaukee Admirals8WSommaire du match
Jour:60
60463Milwaukee Admirals7Laval Chiefs8LXSommaire du match
Jour:62
62482Providence Bruins4Milwaukee Admirals6WSommaire du match
Jour:64
64495Milwaukee Admirals5Albany Devils2WSommaire du match
Jour:68
68517Gatineau Olympiques1Milwaukee Admirals4WSommaire du match
Jour:70
70535Milwaukee Admirals5Norfolk Admirals2WSommaire du match
Jour:71
71547Trois-Rivières Lions4Milwaukee Admirals3LXSommaire du match
Jour:73
73568Connecticut Whale2Milwaukee Admirals8WSommaire du match
Jour:77
77591Milwaukee Admirals0Trois-Rivières Lions1LSommaire du match
Jour:79
79608Milwaukee Admirals3Charlotte Checkers4LSommaire du match
Jour:81
81615The Nuuk Vikings2Milwaukee Admirals4WSommaire du match
Jour:83
83632Milwaukee Admirals6Manitoba Moose3WSommaire du match
Jour:85
85646The Nuuk Vikings4Milwaukee Admirals7WSommaire du match
Jour:89
89666Milwaukee Admirals9Norfolk Admirals3WSommaire du match
Jour:90
90680Roberval Dwarfs2Milwaukee Admirals1LXXSommaire du match
Jour:94
94693Milwaukee Admirals2Roberval Dwarfs5LSommaire du match
Jour:96
96709Milwaukee Admirals7Houston Aeros4WSommaire du match
Jour:97
97721Danbury Trashers1Milwaukee Admirals5WSommaire du match
Jour:100
100746Verdun Junior3Milwaukee Admirals6WSommaire du match
Jour:101
101763Milwaukee Admirals4Quebec Stars1WSommaire du match
Jour:103
103770Milwaukee Admirals4San Jose Barracuda3WXXSommaire du match
Jour:105
105785Charlotte Checkers6Milwaukee Admirals5LSommaire du match
Jour:108
108810Lake Erie Monsters2Milwaukee Admirals8WSommaire du match
Jour:109
109818Milwaukee Admirals4Henderson Silver Knights1WSommaire du match
Jour:111
111839Milwaukee Admirals3Blainville-Boisbriand Armada5LSommaire du match
Jour:113
113850Hamilton Bulldogs3Milwaukee Admirals4WSommaire du match
Jour:115
115867Milwaukee Admirals2Chicago Wolves3LXXSommaire du match
Jour:117
117878Milwaukee Admirals4Verdun Junior0WSommaire du match
Jour:118
118887Danbury Trashers2Milwaukee Admirals3WSommaire du match
Jour:124
124916Grand Rapids Griffins1Milwaukee Admirals4WSommaire du match
Jour:126
126942Springfield Falcons4Milwaukee Admirals5WXSommaire du match
Jour:128
128955Milwaukee Admirals1Lake Erie Monsters2LSommaire du match
Jour:129
129973Milwaukee Admirals5Rochester Americans3WSommaire du match
Jour:130
130982Portland Crying Chiwawas4Milwaukee Admirals3LXXSommaire du match
Jour:133
133999Milwaukee Admirals3Binghamton Senators1WSommaire du match
Jour:135
1351013Blainville-Boisbriand Armada7Milwaukee Admirals2LSommaire du match
Jour:139
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1391042Binghamton Senators1Milwaukee Admirals2WSommaire du match
Jour:141
1411051Milwaukee Admirals3Grand Rapids Griffins2WSommaire du match
Jour:143
1431067Milwaukee Admirals2Chicoutimi Saguenéens3LSommaire du match
Jour:145
1451080Trois-Rivières Lions0Milwaukee Admirals3WSommaire du match
Jour:147
1471087Milwaukee Admirals2Grand Rapids Griffins1WXSommaire du match
Jour:150
1501110Milwaukee Admirals3Hamilton Bulldogs6LSommaire du match
Jour:151
1511119San Jose Barracuda4Milwaukee Admirals5WXSommaire du match
Jour:154
1541147Chicago Wolves0Milwaukee Admirals7WSommaire du match
Jour:155
1551156Milwaukee Admirals4The Nuuk Vikings5LSommaire du match
Jour:159
1591179Chisinau Pelicans-Milwaukee Admirals-
Jour:161
1611189Milwaukee Admirals-The Nuuk Vikings-
Jour:163
1631211Quebec Stars-Milwaukee Admirals-
Jour:164
1641221Milwaukee Admirals-Bridgeport Sound Tigers-
Jour:168
1681247Laval Chiefs-Milwaukee Admirals-
Jour:174
1741278Wilkes-Barre/Scranton Penguins-Milwaukee Admirals-
Jour:177
1771298Wilkes-Barre/Scranton Penguins-Milwaukee Admirals-
Jour:178
1781307Milwaukee Admirals-Lake Erie Monsters-
Jour:179
1791319Milwaukee Admirals-Binghamton Senators-
Jour:185
1851348Chicoutimi Saguenéens-Milwaukee Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1 Niveau 2

Revenu
Matchs à domicile restants Assistance moyenne - % Revenu moyen par match Revenu annuel à ce jour Capacité Popularité de l’équipe

Dépenses
Dépenses annuelles à ce jour Salaire total des joueurs Salaire total moyen des joueurs Salaire des entraineurs
Plafond salarial par jour Plafond salarial à ce jour Joueurs Inclus dans le plafond salarial Joueurs exclut du plafond Salarial

Estimation
Revenus de la saison estimés Jours restants de la saison Dépenses par jour Dépenses de la saison estimées




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

Total Domicile Visiteur
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