Matchs du jour
STL - 1
VEG - 7
CLB - 1
NYR - 2
CGY - 0
EDM - 1
QUE - 2
WSH - 3
NSH - 0
DAL - 1
BOS - 1
MTL - 3
CHA - 1
LAV - 5
ALB - 2
NOR - 4
ROB - 3
HOU - 4
TRL - 1
MIL - 4
LKE - 3
BNG - 1
GRG - 1
RNO - 3
Prchains matchs
(2-1-0) - W2
(1-2-0) - L1
(2-1-0) - W2
(1-1-0) - W1
(1-1-1) - W1
(1-2-0) - L2
(2-1-0) - L1
(2-1-0) - L1
(2-1-0) - W2
(2-2-0) - L2
(2-1-0) - W1
(2-0-0) - W2
(0-3-0) - L3
(0-2-0) - L2
(0-3-0) - L3
(0-1-0) - L1
(1-2-0) - W1
(1-0-1) - OTL1
(2-0-1) - OTL1
(2-1-0) - W2
(2-1-0) - W2
(2-3-0) - L3
(2-1-0) - L1
(2-1-0) - W2

Milwaukee Admirals
GP: 3 | W: 3 | L: 0 | OTL: 0 | P: 6
GF: 15 | GA: 7 | PP%: 33.33% | PK%: 80.00%
DG: Mathieu Boudreault | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #72 vs Springfield Falcons
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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 SP
1Alex Turcotte (R)X100.0068388283778478817874716874737175000
2Alexei Toropchenko (R)X99.0091308976828184816674756973717065000
3Cole Guttman (R)X100.0067307978768282787572736577656865000
4Morgan Barron (R)XX100.0076477978848185817574736676707165000
5Josh Dunne (R)X100.0084457877848186797774726674697065000
6Jaydon Dureau (R)X100.0065458878748183776572706472656865000
7Freddie Hamilton (C)XX100.0067309379768080777972727270999915000
8Brett ConnollyXX99.0083458381818383806574746878999915000
9David KampfXX100.0066289481788172817474727272817755000
10Mark JankowskiXX100.0080358981818381807673717173787915000
11Cristoval NievesXX100.0081359278888281777472717471777715000
12Karson KuhlmanXX99.0062289984748379837575737383797955000
13Dean KukanX100.0077338575838276765074668960757355000
14Jaycob MegnaX100.0079428176888077776070608765858555000
15Nikita TryamkinX99.0093457672867973765073678960828065000
16Aaron NessX99.0078388277778073795075638860929215000
17Kevin Gravel (A)X100.0087487875808175785173678562909055000
18Nick EbertX100.0082338579797769785273668462818255000
Rayé
1Jan Drozg (R)X100.0074308278798081766971706677727065000
2Cole Clayton (R)X100.0079477973818082765071648260656665000
MOYENNE D’ÉQUIPE99.757738857880817979667370757078785500
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 SP
1Sami Aittokallio99.008682858590888988889190838565000
2Jaxson Stauber (R)100.008581858586868586868587646685000
Rayé
1Jonas Johansson100.008582849286868786848583707065000
MOYENNE D’ÉQUIPE99.67858285878787878786878772747500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dean Evason82828483828070CAN6022,000,000$


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
1Karson KuhlmanMilwaukee Admirals (NSH)C/RW33474000292433.33%15819.63011060000121153.33%3060002.3800000102
2Alexei ToropchenkoMilwaukee Admirals (NSH)RW324640044951022.22%05418.02022070000000100.00%151002.2200000011
3Alex TurcotteMilwaukee Admirals (NSH)C31343201342825.00%15117.0710115000000056.67%3041001.5600000000
4Cole ClaytonMilwaukee Admirals (NSH)D21344203350420.00%23618.120111100001000.00%002002.2100000100
5Brett ConnollyMilwaukee Admirals (NSH)LW/RW331430050116427.27%05819.4710137000010160.00%551001.3700000100
6Nick EbertMilwaukee Admirals (NSH)D32242202663133.33%35819.331124800002100.00%005001.3800000000
7Morgan BarronMilwaukee Admirals (NSH)C/LW32133401080225.00%24615.4300024000001050.00%460001.3000000000
8Cole GuttmanMilwaukee Admirals (NSH)C3022320103200.00%0258.6400000000000034.62%2611001.5400000000
9Freddie HamiltonMilwaukee Admirals (NSH)C/RW31122003233133.33%14013.4400002000020073.33%1500000.9900000010
10Mark JankowskiMilwaukee Admirals (NSH)C/LW3022100514150.00%24414.71000020000100100.00%150000.9100000000
11Jaycob MegnaMilwaukee Admirals (NSH)D1011020411010.00%01818.470000200000000.00%002001.0800000000
12Nikita TryamkinMilwaukee Admirals (NSH)D30110201583310.00%77424.9700026000011000.00%005000.2700000000
13David KampfMilwaukee Admirals (NSH)C/RW3011000222230.00%35016.740000100011200100.00%172000.4000000000
14Kevin GravelMilwaukee Admirals (NSH)D3011000883120.00%76421.470110900003000.00%002000.3100000000
15Cristoval NievesMilwaukee Admirals (NSH)C/LW3011020412120.00%03511.8200000000020030.00%2011000.5600000000
16Jan DrozgMilwaukee Admirals (NSH)LW2000300120000.00%0157.700000000000000.00%000000.00%00000000
17Josh DunneMilwaukee Admirals (NSH)C3000-120233050.00%24916.5800004000000055.56%2711000.00%00000000
18Jaydon DureauMilwaukee Admirals (NSH)LW3000000212020.00%0248.08000000000000100.00%130000.00%00000000
19Dean KukanMilwaukee Admirals (NSH)D3000300274140.00%35518.420000100008000.00%002000.00%00000000
20Aaron NessMilwaukee Admirals (NSH)D1000100010000.00%32121.930000000004000.00%002000.00%00000000
Statistiques d’équipe totales ou en moyenne5415284335200655582325918.29%3788316.3636913730001653251.55%1614428000.9700000323
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
1Sami AittokallioMilwaukee Admirals (NSH)22000.9491.501200035935000.00%021010
2Jaxson StauberMilwaukee Admirals (NSH)11000.9114.00600044522000.00%011000
Statistiques d’équipe totales ou en moyenne33000.9332.3318000710457000.000032010


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat StatutType 2023-2024 Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial 2024-20252025-20262026-20272027-20282028-20292029-20302030-20312031-20322032-2033Link
Aaron NessMilwaukee Admirals (NSH)D331989-01-22 07:17:19No170 Lbs5 ft10NoNoNo1Pro & FarmSans restriction800,000$773,913$800,000$773,913$0$0$No
Alex TurcotteMilwaukee Admirals (NSH)C222000-01-02 20:43:10Yes185 Lbs5 ft11NoNoNo1Pro & FarmContrat d’entrée925,000$894,837$925,000$894,837$0$0$No
Alexei ToropchenkoMilwaukee Admirals (NSH)RW241998-01-02 02:32:42Yes223 Lbs6 ft6NoNoNo1Pro & FarmAvec restriction1,000,000$967,391$1,000,000$967,391$0$0$No
Brett ConnollyMilwaukee Admirals (NSH)LW/RW311991-01-22 17:15:46No203 Lbs6 ft2NoNoNo2Pro & FarmSans restriction850,000$822,283$850,000$822,283$0$0$No850,000$
Cole ClaytonMilwaukee Admirals (NSH)D231999-01-02 05:13:04Yes209 Lbs6 ft2NoNoNo1Pro & FarmContrat d’entrée750,000$725,543$750,000$725,543$0$0$No
Cole GuttmanMilwaukee Admirals (NSH)C241998-01-02 02:39:22Yes181 Lbs5 ft10NoNoNo1Pro & FarmAvec restriction900,000$870,652$900,000$870,652$0$0$No
Cristoval NievesMilwaukee Admirals (NSH)C/LW291993-01-22 04:19:11No212 Lbs6 ft3NoNoNo1Pro & FarmSans restriction1,400,000$1,354,348$1,400,000$1,354,348$0$0$No
David KampfMilwaukee Admirals (NSH)C/RW281994-01-22 00:15:22No194 Lbs6 ft2NoNoNo2Pro & FarmSans restriction850,000$822,283$850,000$822,283$0$0$No850,000$
Dean KukanMilwaukee Admirals (NSH)D301992-01-22 07:58:54No198 Lbs6 ft2NoNoNo2Pro & FarmSans restriction850,000$822,283$850,000$822,283$0$0$No850,000$
Freddie HamiltonMilwaukee Admirals (NSH)C/RW311991-01-22 06:55:11No185 Lbs6 ft0NoNoNo1Pro & FarmSans restriction850,000$822,283$850,000$822,283$0$0$No
Jan DrozgMilwaukee Admirals (NSH)LW241998-01-02 02:46:11Yes174 Lbs6 ft2NoNoNo1Pro & FarmAvec restriction850,000$822,283$850,000$822,283$0$0$No
Jaxson StauberMilwaukee Admirals (NSH)G241998-01-02 02:50:16Yes174 Lbs6 ft3NoNoNo1Pro & FarmAvec restriction950,000$919,022$950,000$919,022$0$0$No
Jaycob MegnaMilwaukee Admirals (NSH)D311991-01-02 13:37:58No220 Lbs6 ft6NoNoNo1Pro & FarmSans restriction800,000$773,913$800,000$773,913$0$0$No
Jaydon DureauMilwaukee Admirals (NSH)LW222000-01-02 05:23:11Yes174 Lbs5 ft11NoNoNo2Pro & FarmContrat d’entrée850,000$822,283$850,000$822,283$0$0$No850,000$
Jonas JohanssonMilwaukee Admirals (NSH)G281994-01-02 03:15:19No214 Lbs6 ft5NoNoNo1Pro & FarmSans restriction1,500,000$1,451,087$1,500,000$1,451,087$0$0$No
Josh DunneMilwaukee Admirals (NSH)C251997-01-02 02:26:59Yes209 Lbs6 ft4NoNoNo1Pro & FarmAvec restriction950,000$919,022$950,000$919,022$0$0$No
Karson KuhlmanMilwaukee Admirals (NSH)C/RW281994-01-22 14:58:20No185 Lbs5 ft11NoNoNo2Pro & FarmSans restriction2,000,000$1,934,783$2,000,000$1,934,783$0$0$No2,000,000$
Kevin GravelMilwaukee Admirals (NSH)D311991-01-22 11:03:00No190 Lbs6 ft4NoNoNo1Pro & FarmSans restriction850,000$822,283$850,000$822,283$0$0$No
Mark JankowskiMilwaukee Admirals (NSH)C/LW291993-01-22 16:05:15No185 Lbs6 ft3NoNoNo1Pro & FarmSans restriction1,400,000$1,354,348$1,400,000$1,354,348$0$0$No
Morgan BarronMilwaukee Admirals (NSH)C/LW251997-01-02 00:26:41Yes220 Lbs6 ft4NoNoNo1Pro & FarmAvec restriction1,100,000$1,064,130$1,100,000$1,064,130$0$0$No
Nick EbertMilwaukee Admirals (NSH)D291993-01-22 04:40:10No195 Lbs6 ft1NoNoNo1Pro & FarmSans restriction850,000$822,283$850,000$822,283$0$0$No
Nikita TryamkinMilwaukee Admirals (NSH)D291993-01-22 06:52:17No230 Lbs6 ft7NoNoNo2Pro & FarmSans restriction850,000$822,283$850,000$822,283$0$0$No850,000$
Sami AittokallioMilwaukee Admirals (NSH)G311991-01-22 18:19:49No171 Lbs6 ft1NoNoNo1Pro & FarmSans restriction1,000,000$967,391$1,000,000$967,391$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2327.43196 Lbs6 ft21.261,005,435$



Attaque à 5 contre 5
Ligne # Ailier gauche Centre Ailier droit
1Brett ConnollyAlex TurcotteAlexei Toropchenko
2Morgan BarronCole GuttmanKarson Kuhlman
3Mark JankowskiJosh DunneDavid Kampf
4Jaydon DureauCristoval NievesFreddie Hamilton
Défense à 5 contre 5
Ligne # Défense Défense
1Nikita TryamkinAaron Ness
2Dean KukanNick Ebert
3Jaycob MegnaKevin Gravel
4Dean KukanNikita Tryamkin
Attaque en avantage numérique
Ligne # Ailier gauche Centre Ailier droit
1Brett ConnollyAlex TurcotteAlexei Toropchenko
2Morgan BarronJosh DunneKarson Kuhlman
Défense en avantage numérique
Ligne # Défense Défense
1Nick EbertKevin Gravel
2Nikita TryamkinJaycob Megna
Attaque à 4 en désavantage numérique
Ligne # Centre Ailier
1Karson KuhlmanDavid Kampf
2Cristoval NievesFreddie Hamilton
Défense à 4 en désavantage numérique
Ligne # Défense Défense
1Nikita TryamkinAaron Ness
2Dean KukanJaycob Megna
3 joueurs en désavantage numérique
Ligne # Ailier Défense Défense
1Karson KuhlmanNikita TryamkinAaron Ness
2Cristoval NievesDean KukanJaycob Megna
Attaque à 4 contre 4
Ligne # Centre Ailier
1Alex TurcotteAlexei Toropchenko
2Karson KuhlmanMorgan Barron
Défense à 4 contre 4
Ligne # Défense Défense
1Nikita TryamkinAaron Ness
2Dean KukanNick Ebert
Attaque dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Brett ConnollyAlex TurcotteAlexei ToropchenkoNikita TryamkinAaron Ness
Défense dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Freddie HamiltonKarson KuhlmanDavid KampfNikita TryamkinAaron Ness
Attaquants supplémentaires
Normal Avantage numérique Désavantage numérique
Alex Turcotte, Alexei Toropchenko, Karson KuhlmanCole Guttman, Mark JankowskiMark Jankowski
Défenseurs supplémentaires
Normal Avantage numérique Désavantage numérique
Nikita Tryamkin, Dean Kukan, Aaron NessAaron NessNick Ebert, Kevin Gravel
Tirs de pénalité
Brett Connolly, Karson Kuhlman, Cole Guttman, Morgan Barron, Alex Turcotte
Gardien
#1 : Sami Aittokallio, #2 : Jaxson Stauber
Lignes d’attaque personnalisées en prolongation
Alex Turcotte, Alexei Toropchenko, Morgan Barron, Brett Connolly, Karson Kuhlman, David Kampf, David Kampf, Josh Dunne, Cole Guttman, Mark Jankowski, Freddie Hamilton
Lignes de défense personnalisées en prolongation
Nikita Tryamkin, Dean Kukan, Nick Ebert, Kevin Gravel, Aaron Ness


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
1Chisinau Pelicans11000000523000000000001100000052321.00059140066302638212302616216200.00%10100.00%0315754.39%346552.31%183946.15%654270234321
2Rochester Americans11000000642110000006420000000000021.0006111700663032382123045812223266.67%6266.67%0315754.39%346552.31%183946.15%654270234321
Total3300000015782200000010551100000052361.0001528430066308238212301043720659333.33%10280.00%0315754.39%346552.31%183946.15%654270234321
3Trois-Rivières Lions11000000413110000004130000000000021.000481200663024382123033136274125.00%30100.00%0315754.39%346552.31%183946.15%654270234321
_Since Last GM Reset3300000015782200000010551100000052361.0001528430066308238212301043720659333.33%10280.00%0315754.39%346552.31%183946.15%654270234321
_Vs Conference22000000936110000004131100000052341.0009172600663050382123059298436116.67%40100.00%0315754.39%346552.31%183946.15%654270234321
_Vs Division2000000010552000000010550000000000000.000101929006630563821230782118497342.86%9277.78%0315754.39%346552.31%183946.15%654270234321

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
36W31528438210437206500
Tous les matchs
GPWLOTWOTL SOWSOL GFGA
3300000157
Matchs locaux
GPWLOTWOTL SOWSOL GFGA
2200000105
Matchs extérieurs
GPWLOTWOTL SOWSOL GFGA
110000052
Derniers 10 matchs
WLOTWOTL SOWSOL
300000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
9333.33%10280.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
38212306630
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
315754.39%346552.31%183946.15%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
654270234321


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
2 - 2023-09-2419Milwaukee Admirals5Chisinau Pelicans2AWSommaire du match
3 - 2023-09-2527Rochester Americans4Milwaukee Admirals6BWSommaire du match
6 - 2023-09-2844Trois-Rivières Lions1Milwaukee Admirals4BWSommaire du match
9 - 2023-10-0172Springfield Falcons-Milwaukee Admirals-
10 - 2023-10-0287Milwaukee Admirals-Mercer Island Hafgufa-
12 - 2023-10-04104Danbury Trashers-Milwaukee Admirals-
14 - 2023-10-06114Milwaukee Admirals-Binghamton Senators-
17 - 2023-10-09136Lake Erie Monsters-Milwaukee Admirals-
22 - 2023-10-14166Wilkes-Barre/Scranton Penguins-Milwaukee Admirals-
24 - 2023-10-16183Milwaukee Admirals-Chicago Wolves-
27 - 2023-10-19200Chicago Wolves-Milwaukee Admirals-
30 - 2023-10-22221Milwaukee Admirals-Providence Bruins-
32 - 2023-10-24234Chisinau Pelicans-Milwaukee Admirals-
34 - 2023-10-26249Milwaukee Admirals-Laval Chiefs-
35 - 2023-10-27262Milwaukee Admirals-Grand Rapids Griffins-
36 - 2023-10-28273Rouyn-Noranda Huskies-Milwaukee Admirals-
40 - 2023-11-01292Milwaukee Admirals-Chicago Wolves-
41 - 2023-11-02304Roberval Dwarfs-Milwaukee Admirals-
43 - 2023-11-04322Milwaukee Admirals-Manitoba Moose-
45 - 2023-11-06337Trois-Rivières Lions-Milwaukee Admirals-
49 - 2023-11-10352Milwaukee Admirals-Providence Bruins-
51 - 2023-11-12370Danbury Trashers-Milwaukee Admirals-
55 - 2023-11-16397Milwaukee Admirals-Nunavik Natturaliit-
56 - 2023-11-17407Springfield Falcons-Milwaukee Admirals-
58 - 2023-11-19430Milwaukee Admirals-Bridgeport Sound Tigers-
60 - 2023-11-21437Verdun Junior-Milwaukee Admirals-
63 - 2023-11-24455Milwaukee Admirals-Verdun Junior-
65 - 2023-11-26471Wilkes-Barre/Scranton Penguins-Milwaukee Admirals-
66 - 2023-11-27490Milwaukee Admirals-Albany Devils-
68 - 2023-11-29505Lake Erie Monsters-Milwaukee Admirals-
70 - 2023-12-01518Milwaukee Admirals-Danbury Trashers-
71 - 2023-12-02537Gatineau Olympiques-Milwaukee Admirals-
73 - 2023-12-04548Milwaukee Admirals-Gatineau Olympiques-
74 - 2023-12-05566Providence Bruins-Milwaukee Admirals-
78 - 2023-12-09595Houston Aeros-Milwaukee Admirals-
80 - 2023-12-11611Milwaukee Admirals-Hamilton Bulldogs-
81 - 2023-12-12627Chicoutimi Saguenéens-Milwaukee Admirals-
83 - 2023-12-14647Milwaukee Admirals-Charlotte Checkers-
84 - 2023-12-15658Milwaukee Admirals-Chisinau Pelicans-
85 - 2023-12-16669Grand Rapids Griffins-Milwaukee Admirals-
88 - 2023-12-19688Milwaukee Admirals-Grand Rapids Griffins-
89 - 2023-12-20702Verdun Junior-Milwaukee Admirals-
91 - 2023-12-22722Milwaukee Admirals-Joliette Sportif-
92 - 2023-12-23734Rochester Americans-Milwaukee Admirals-
95 - 2023-12-26754Milwaukee Admirals-Albany Devils-
97 - 2023-12-28765Grand Rapids Griffins-Milwaukee Admirals-
101 - 2024-01-01795Chicoutimi Saguenéens-Milwaukee Admirals-
104 - 2024-01-04822Milwaukee Admirals-Nunavik Natturaliit-
106 - 2024-01-06830Laval Chiefs-Milwaukee Admirals-
110 - 2024-01-10854Milwaukee Admirals-Roberval Dwarfs-
111 - 2024-01-11862Gatineau Olympiques-Milwaukee Admirals-
116 - 2024-01-16892Trois-Rivières Lions-Milwaukee Admirals-
119 - 2024-01-19923Blainville-Boisbriand Armada-Milwaukee Admirals-
120 - 2024-01-20931Milwaukee Admirals-Rouyn-Noranda Huskies-
122 - 2024-01-22947Milwaukee Admirals-Connecticut Whale-
123 - 2024-01-23961Rochester Americans-Milwaukee Admirals-
126 - 2024-01-26990Blainville-Boisbriand Armada-Milwaukee Admirals-
127 - 2024-01-27999Milwaukee Admirals-The Nuuk Vikings-
129 - 2024-01-291021Milwaukee Admirals-Roberval Dwarfs-
130 - 2024-01-301027Chisinau Pelicans-Milwaukee Admirals-
134 - 2024-02-031056The Nuuk Vikings-Milwaukee Admirals-
135 - 2024-02-041074Milwaukee Admirals-Rouyn-Noranda Huskies-
137 - 2024-02-061086Milwaukee Admirals-Trois-Rivières Lions-
138 - 2024-02-071090Laval Chiefs-Milwaukee Admirals-
141 - 2024-02-101102Milwaukee Admirals-Norfolk Admirals-
144 - 2024-02-131123Chicago Wolves-Milwaukee Admirals-
146 - 2024-02-151140Milwaukee Admirals-Henderson Silver Knights-
149 - 2024-02-181156Binghamton Senators-Milwaukee Admirals-
151 - 2024-02-201165Milwaukee Admirals-Lake Erie Monsters-
154 - 2024-02-231189The Nuuk Vikings-Milwaukee Admirals-
155 - 2024-02-241194Milwaukee Admirals-Laval Chiefs-
158 - 2024-02-271216Milwaukee Admirals-Binghamton Senators-
159 - 2024-02-281223Joliette Sportif-Milwaukee Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
162 - 2024-03-021250Milwaukee Admirals-Blainville-Boisbriand Armada-
164 - 2024-03-041255Joliette Sportif-Milwaukee Admirals-
167 - 2024-03-071276Milwaukee Admirals-Lake Erie Monsters-
172 - 2024-03-121291Binghamton Senators-Milwaukee Admirals-
175 - 2024-03-151310Milwaukee Admirals-Chicoutimi Saguenéens-
177 - 2024-03-171321Nunavik Natturaliit-Milwaukee Admirals-
179 - 2024-03-191326Milwaukee Admirals-Henderson Silver Knights-
181 - 2024-03-211338Milwaukee Admirals-Chicoutimi Saguenéens-
182 - 2024-03-221346Milwaukee Admirals-San Antonio Rampage-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance4,0002,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 3000 - 100.00% 100,000$200,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
139,758$ 2,312,500$ 2,312,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,568$ 74,538$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saison Dépenses par jourDépenses de la saison estimées
3,900,000$ 178 23,438$ 4,171,964$




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