MILWAUKEE Admirals
GP: 75 | W: 47 | L: 20 | OTL: 8 | P: 102
GF: 304 | GA: 151 | PP%: 21.00% | PK%: 88.60%
DG: Louis Bourgault | Morale : 99 | Moyenne d'Équipe : 65
Prochain matchs #981 vs SAN ANTONIO Rampage
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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 SPÂgeContratSalaire
1Brendan Lemieux0X100.0088745366807487645662656763676476997002441,250,000$
2Brett Murray (R)0X100.008347895897858757545655625863626499690223750,000$
3Carter Verhaeghe0X100.0058398664737981627263616564696662996802541,000,000$
4Rocco Grimaldi0XX100.0058378268627281675370636167736866996802711,500,000$
5Emil Bemstrom (R)0X100.007139886872747566536567626861656399680213750,000$
6Markus Hannikainen0X100.006439866277807863546060596373675499670276750,000$
7Pontus Aberg0XX100.005943836673757265586364616673676499670263750,000$
8Tomas Hyka (R)0X100.005135736964585868566665576651504799610276750,000$
9Sergey Tolchinsky0X100.004842746054536060506257605750504499570256750,000$
10Maxime Lajoie (R)0X100.006142896677837963306461655265635899680223750,000$
11Tucker Poolman (R)0X100.005939876280836761306958635073684999670273750,000$
12Thomas Schemitsch0X100.007051865786888556305554584567645699660231750,000$
13John Ramage0X100.005089606672505066305247505750505199550291750,000$
Rayé
MOYENNE D'ÉQUIPE100.00634780647473746348626061606462589965
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
1Charlie Lindgren100.00756563737473757473757473775899660
2Samuel Montembeault (R)100.00676872816971706969666650594499620
Rayé
MOYENNE D'ÉQUIPE100.0071676877727273727171706268519964
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Davis Payne70707070757570CAN512300,000$


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
1Emil BemstromMILWAUKEE Admirals (NSH)C7560491096422012115246714129612.85%25184424.60610165117321378410154.93%125832261.18270006107
2Rocco GrimaldiMILWAUKEE Admirals (NSH)C/RW75515610754408119135110225314.53%23170122.6841418441620222744252.35%121311071.2603000656
3Pontus AbergMILWAUKEE Admirals (NSH)LW/RW753953927122089823428921411.40%24158021.075611411701123625267.72%12720011.1600000744
4Maxime LajoieMILWAUKEE Admirals (NSH)D75187088572208284175689810.29%130204927.3361016681740114916166.67%620000.8600000544
5Tomas HykaMILWAUKEE Admirals (NSH)RW61324678524070712556418712.55%18116419.10281024137000003145.33%7500011.3400000284
6Thomas SchemitschMILWAUKEE Admirals (NSH)D75124961566751605913040649.23%140197526.346612431650001793033.33%2131000.6200100125
7Tucker PoolmanMILWAUKEE Admirals (NSH)D75184361511608258129416913.95%112203527.14861450177011296200.00%114010.6000000241
8Brett MurrayMILWAUKEE Admirals (NSH)LW6111465766460165106161621356.83%18160226.28279251531012692158.50%101200000.7103000143
9Carter VerhaegheMILWAUKEE Admirals (NSH)C452629553814049952054715012.68%9114725.503912241030002408062.17%83800040.9600000424
10Markus HannikainenMILWAUKEE Admirals (NSH)LW61153550391203663190421367.89%19120319.7324618610000331256.00%17500000.8300000012
11Sergey TolchinskyMILWAUKEE Admirals (NSH)LW611225371440426115543897.74%2493615.3600012350000121253.41%8800000.7900000220
12John RamageMILWAUKEE Admirals (NSH)D756313743340774560243610.00%54163921.85145141380000700020.00%521000.4500000011
13Valtteri FilppulaNASHVILLE PredatorsC1348129405325120487.84%321216.33000001013291167.42%22100001.1300000110
Stats d'équipe Total ou en Moyenne8273045408446142715105910992671783177511.38%5991909323.0945841294141652561126745461356.85%50401492200.88213100374841
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
1Charlie LindgrenMILWAUKEE Admirals (NSH)60401460.9331.72360021410315440220.500860611033
2Thatcher DemkoNASHVILLE Predators157620.9262.68919004155726000.83312150320
3Samuel MontembeaultMILWAUKEE Admirals (NSH)10001.0000.0028000120000.0000014000
Stats d'équipe Total ou en Moyenne76472080.9321.904548214144211326220.7002075751353


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 Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Brendan LemieuxMILWAUKEE Admirals (NSH)LW243/15/1996No97 Kg185 CMNoNoNo4Pro & Farm1,250,000$95,339$750,000$57,203$0$0$No1,250,000$1,250,000$1,250,000$Lien
Brett MurrayMILWAUKEE Admirals (NSH)LW227/20/1998Yes107 Kg196 CMNoNoNo3Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$
Carter VerhaegheMILWAUKEE Admirals (NSH)C258/14/1995No80 Kg185 CMNoNoNo4Pro & Farm1,000,000$76,271$750,000$57,203$0$0$No1,000,000$1,000,000$1,000,000$Lien
Charlie LindgrenMILWAUKEE Admirals (NSH)G2612/18/1993No82 Kg185 CMNoNoNo4Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$750,000$Lien
Emil BemstromMILWAUKEE Admirals (NSH)C216/1/1999Yes86 Kg183 CMNoNoNo3Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$
John RamageMILWAUKEE Admirals (NSH)D292/7/1991No86 Kg183 CMNoNoNo1Pro & Farm750,000$57,203$750,000$57,203$0$0$NoLien
Markus HannikainenMILWAUKEE Admirals (NSH)LW273/26/1993No91 Kg185 CMNoNoNo6Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Maxime LajoieMILWAUKEE Admirals (NSH)D2211/5/1997Yes89 Kg185 CMNoNoNo3Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$
Pontus AbergMILWAUKEE Admirals (NSH)LW/RW269/23/1993No88 Kg183 CMNoNoNo3Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$Lien
Rocco GrimaldiMILWAUKEE Admirals (NSH)C/RW272/8/1993No82 Kg168 CMNoNoNo1Pro & Farm1,500,000$114,407$1,500,000$114,407$0$0$NoLien
Samuel Montembeault (Contrat à 1 Volet)MILWAUKEE Admirals (NSH)G2310/30/1996Yes87 Kg191 CMNoNoNo2Pro & Farm750,000$57,203$750,000$57,203$750,000$57,203$No750,000$Lien
Sergey TolchinskyMILWAUKEE Admirals (NSH)LW252/3/1995No77 Kg173 CMNoNoNo6Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Thomas SchemitschMILWAUKEE Admirals (NSH)D2310/26/1996No91 Kg193 CMNoNoNo1Pro & Farm750,000$57,203$750,000$57,203$0$0$NoLien
Tomas HykaMILWAUKEE Admirals (NSH)RW273/23/1993Yes73 Kg180 CMNoNoNo6Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Tucker PoolmanMILWAUKEE Admirals (NSH)D276/8/1993Yes90 Kg188 CMNoNoNo3Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1524.9387 Kg185 CM3.33850,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brett MurrayEmil BemstromRocco Grimaldi31122
2Pontus AbergTomas Hyka26122
3Markus HannikainenBrett MurrayEmil Bemstrom23122
4Sergey TolchinskyRocco Grimaldi20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Maxime LajoieTucker Poolman31122
2Thomas SchemitschJohn Ramage26122
3Maxime LajoieTucker Poolman23122
4Thomas SchemitschJohn Ramage20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brett MurrayEmil BemstromRocco Grimaldi55122
2Pontus AbergTomas Hyka45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Maxime LajoieTucker Poolman55122
2Thomas SchemitschJohn Ramage45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brett MurrayEmil Bemstrom55122
2Rocco Grimaldi45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Maxime LajoieTucker Poolman55122
2Thomas SchemitschJohn Ramage45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brett Murray55122Maxime LajoieTucker Poolman55122
2Emil Bemstrom45122Thomas SchemitschJohn Ramage45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brett MurrayEmil Bemstrom55122
2Rocco Grimaldi45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Maxime LajoieTucker Poolman55122
2Thomas SchemitschJohn Ramage45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brett MurrayEmil BemstromRocco GrimaldiMaxime LajoieTucker Poolman
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brett MurrayEmil BemstromRocco GrimaldiMaxime LajoieTucker Poolman
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Markus Hannikainen, Sergey Tolchinsky, Pontus AbergMarkus Hannikainen, Sergey TolchinskyPontus Aberg
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Maxime Lajoie, Tucker Poolman, Thomas SchemitschMaxime LajoieTucker Poolman, Thomas Schemitsch
Tirs de Pénalité
Brett Murray, Emil Bemstrom, Rocco Grimaldi, , Pontus Aberg
Gardien
#1 : , #2 : Charlie Lindgren, #3 : Samuel Montembeault
Lignes d'Attaque Perso. en Prol.
Brett Murray, Emil Bemstrom, Rocco Grimaldi, , Pontus Aberg, Markus Hannikainen, Markus Hannikainen, Tomas Hyka, Sergey Tolchinsky, ,
Lignes de Défense Perso. en Prol.
Maxime Lajoie, Tucker Poolman, Thomas Schemitsch, John Ramage,


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
LigueDomicileVisiteur
# 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
1BAKERSFIELD Condors2200000022121110000001201211000000101941.00022416301138976361758628799015832110256233.33%50100.00%11211221654.65%1030227045.37%599113652.73%195914551709482883453
2BELLEVILLE Senators11000000624110000006240000000000021.00061117001389763645862879901582544184125.00%20100.00%01211221654.65%1030227045.37%599113652.73%195914551709482883453
3BINGHAMTON Devils21000001752110000004131000000134-130.7507142100138976364686287990158892510262150.00%50100.00%01211221654.65%1030227045.37%599113652.73%195914551709482883453
4BRIDGEPORT Sound Tigers714001101421-730300000410-6411001101011-150.357142539101389763617086287990158251823611025520.00%15380.00%01211221654.65%1030227045.37%599113652.73%195914551709482883453
5BROOKLYN Wolfpack330000002112011000000303220000001811761.000213960021389763612686287990158561110424125.00%40100.00%01211221654.65%1030227045.37%599113652.73%195914551709482883453
6CAROLINA Checkers220000002212111000000130131100000091841.0002242640113897636131862879901583740172150.00%000.00%01211221654.65%1030227045.37%599113652.73%195914551709482883453
7CHICAGO Wolves3110000167-1210000013301010000034-130.500691500138976366286287990158118324435120.00%10100.00%01211221654.65%1030227045.37%599113652.73%195914551709482883453
8COLORADO Eagles5220010013112311001009812110000043150.50013223502138976361208628799015814949166925520.00%8187.50%11211221654.65%1030227045.37%599113652.73%195914551709482883453
9GRAND RAPIDS Griffins211000004311010000023-11100000020220.5004610011389763645862879901585520638300.00%3166.67%01211221654.65%1030227045.37%599113652.73%195914551709482883453
10HERSEY Bears2010100045-1000000000002010100045-120.50047110013897636628628799015856138214125.00%30100.00%01211221654.65%1030227045.37%599113652.73%195914551709482883453
11IOWA Wild2010100046-2100010002111010000025-320.500481200138976368486287990158431510345120.00%5180.00%01211221654.65%1030227045.37%599113652.73%195914551709482883453
12LAVAL Rocket51200110111103020010038-52100001083550.50011182901138976361088628799015817262166217317.65%80100.00%01211221654.65%1030227045.37%599113652.73%195914551709482883453
13LEHIGH VALLEY Phantoms22000000835110000005231100000031241.000815230013897636638628799015849208297342.86%40100.00%01211221654.65%1030227045.37%599113652.73%195914551709482883453
14MANITOBA Moose211000007521010000024-21100000051420.500713201013897636103862879901584010424500.00%2150.00%01211221654.65%1030227045.37%599113652.73%195914551709482883453
15ONTARIO Reign211000004311010000001-11100000042220.500461000138976368086287990158689839400.00%40100.00%01211221654.65%1030227045.37%599113652.73%195914551709482883453
16PROVIDENCE Bruins3020000139-61010000023-12010000116-510.16736900138976366186287990158109286417114.29%30100.00%01211221654.65%1030227045.37%599113652.73%195914551709482883453
17ROCKFORD IceHogs6600000042162633000000199103300000023716121.00042701120113897636230862879901581745627644125.00%60100.00%01211221654.65%1030227045.37%599113652.73%195914551709482883453
18SAN ANTONIO Rampage330000001851333000000185130000000000061.0001831490013897636768628799015875208415240.00%3166.67%01211221654.65%1030227045.37%599113652.73%195914551709482883453
19SAN DIEGO Gulls550000004724533000000272252200000020020101.000479013703138976363708628799015848221011918844.44%30100.00%11211221654.65%1030227045.37%599113652.73%195914551709482883453
20SCRANTON Penguins2110000056-1110000003211010000024-220.500591400138976365086287990158702112309333.33%50100.00%01211221654.65%1030227045.37%599113652.73%195914551709482883453
21STOCKTON Flames210000016421000000134-11100000030330.7506101601138976365286287990158711810357114.29%5180.00%01211221654.65%1030227045.37%599113652.73%195914551709482883453
22SYRACUSE Crunch2010100047-31010000004-41000100043120.500471100138976366386287990158681512331000.00%40100.00%01211221654.65%1030227045.37%599113652.73%195914551709482883453
23TORONTO Marlies32001000936110000003122100100062461.0009162501138976361678628799015847264331119.09%110.00%01211221654.65%1030227045.37%599113652.73%195914551709482883453
24TUSCON Roadrunners32000001954220000007251000000123-150.8339172600138976369386287990158933314451000.00%60100.00%11211221654.65%1030227045.37%599113652.73%195914551709482883453
25UTICA Comets4220000089-11010000023-13210000066040.500814220013897636978628799015812030204920420.00%9366.67%01211221654.65%1030227045.37%599113652.73%195914551709482883453
Total75412004325304151153382112012021527874372080312315273791020.68030454685021413897636267986287990158211562627310872194621.00%1141388.60%41211221654.65%1030227045.37%599113652.73%195914551709482883453
_Since Last GM Reset75412004325304151153382112012021527874372080312315273791020.68030454685021413897636267986287990158211562627310872194621.00%1141388.60%41211221654.65%1030227045.37%599113652.73%195914551709482883453
_Vs Conference4927130232219998101241480020097514625135021221024755670.6841993555541101389763616808628799015813504321756961503221.33%69986.96%31211221654.65%1030227045.37%599113652.73%195914551709482883453
_Vs Division2118800320905040131060020053302388200120372017431.0249015324313138976366758628799015859918269275491020.41%25484.00%11211221654.65%1030227045.37%599113652.73%195914551709482883453

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
75102W1304546850267921156262731087214
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7541204325304151
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
382112120215278
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
37208312315273
Derniers 10 Matchs
WLOTWOTL SOWSOL
730000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2194621.00%1141388.60%4
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
8628799015813897636
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
1211221654.65%1030227045.37%599113652.73%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
195914551709482883453


Derniers Match 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
1 - 2021-01-172MILWAUKEE Admirals5BRIDGEPORT Sound Tigers4WXXSommaire du Match
2 - 2021-01-1816MILWAUKEE Admirals8ROCKFORD IceHogs6WSommaire du Match
3 - 2021-01-1923BRIDGEPORT Sound Tigers3MILWAUKEE Admirals1LSommaire du Match
5 - 2021-01-2145LAVAL Rocket3MILWAUKEE Admirals1LSommaire du Match
7 - 2021-01-2359COLORADO Eagles4MILWAUKEE Admirals3LSommaire du Match
8 - 2021-01-2477ROCKFORD IceHogs5MILWAUKEE Admirals6WSommaire du Match
10 - 2021-01-2690MILWAUKEE Admirals0UTICA Comets2LSommaire du Match
13 - 2021-01-29110CHICAGO Wolves2MILWAUKEE Admirals1LXXSommaire du Match
14 - 2021-01-30120MILWAUKEE Admirals4LAVAL Rocket3WXXSommaire du Match
15 - 2021-01-31127MILWAUKEE Admirals1BRIDGEPORT Sound Tigers3LSommaire du Match
16 - 2021-02-01142ROCKFORD IceHogs2MILWAUKEE Admirals5WSommaire du Match
19 - 2021-02-04159SAN DIEGO Gulls1MILWAUKEE Admirals6WSommaire du Match
20 - 2021-02-05176MILWAUKEE Admirals1PROVIDENCE Bruins2LXXSommaire du Match
21 - 2021-02-06185LAVAL Rocket2MILWAUKEE Admirals0LSommaire du Match
23 - 2021-02-08204MILWAUKEE Admirals7ROCKFORD IceHogs1WSommaire du Match
24 - 2021-02-09209MILWAUKEE Admirals1COLORADO Eagles3LSommaire du Match
25 - 2021-02-10221GRAND RAPIDS Griffins3MILWAUKEE Admirals2LSommaire du Match
27 - 2021-02-12235MILWAUKEE Admirals3COLORADO Eagles0WSommaire du Match
28 - 2021-02-13245COLORADO Eagles4MILWAUKEE Admirals3LXSommaire du Match
30 - 2021-02-15264BRIDGEPORT Sound Tigers3MILWAUKEE Admirals2LSommaire du Match
31 - 2021-02-16277MILWAUKEE Admirals2BRIDGEPORT Sound Tigers1WSommaire du Match
32 - 2021-02-17288MILWAUKEE Admirals3STOCKTON Flames0WSommaire du Match
33 - 2021-02-18298SAN ANTONIO Rampage1MILWAUKEE Admirals8WSommaire du Match
35 - 2021-02-20314LEHIGH VALLEY Phantoms2MILWAUKEE Admirals5WSommaire du Match
37 - 2021-02-22326MILWAUKEE Admirals9CAROLINA Checkers1WSommaire du Match
38 - 2021-02-23342IOWA Wild1MILWAUKEE Admirals2WXSommaire du Match
40 - 2021-02-25353MILWAUKEE Admirals2TUSCON Roadrunners3LXXSommaire du Match
41 - 2021-02-26367SYRACUSE Crunch4MILWAUKEE Admirals0LSommaire du Match
43 - 2021-02-28381MILWAUKEE Admirals2GRAND RAPIDS Griffins0WSommaire du Match
44 - 2021-03-01390TUSCON Roadrunners1MILWAUKEE Admirals5WSommaire du Match
45 - 2021-03-02399MILWAUKEE Admirals2SCRANTON Penguins4LSommaire du Match
47 - 2021-03-04415MILWAUKEE Admirals2BRIDGEPORT Sound Tigers3LXSommaire du Match
48 - 2021-03-05427LAVAL Rocket3MILWAUKEE Admirals2LXSommaire du Match
50 - 2021-03-07446BROOKLYN Wolfpack0MILWAUKEE Admirals3WSommaire du Match
51 - 2021-03-08454MILWAUKEE Admirals2IOWA Wild5LSommaire du Match
53 - 2021-03-10471TUSCON Roadrunners1MILWAUKEE Admirals2WSommaire du Match
54 - 2021-03-11485MILWAUKEE Admirals2UTICA Comets1WSommaire du Match
55 - 2021-03-12497MILWAUKEE Admirals8ROCKFORD IceHogs0WSommaire du Match
56 - 2021-03-13506COLORADO Eagles0MILWAUKEE Admirals3WSommaire du Match
58 - 2021-03-15523BRIDGEPORT Sound Tigers4MILWAUKEE Admirals1LSommaire du Match
60 - 2021-03-17539MILWAUKEE Admirals11SAN DIEGO Gulls0WSommaire du Match
61 - 2021-03-18546MILWAUKEE Admirals10BAKERSFIELD Condors1WSommaire du Match
62 - 2021-03-19557MILWAUKEE Admirals3CHICAGO Wolves4LSommaire du Match
63 - 2021-03-20567MILWAUKEE Admirals9SAN DIEGO Gulls0WSommaire du Match
64 - 2021-03-21572ROCKFORD IceHogs2MILWAUKEE Admirals8WSommaire du Match
66 - 2021-03-23595BELLEVILLE Senators2MILWAUKEE Admirals6WSommaire du Match
67 - 2021-03-24612TORONTO Marlies1MILWAUKEE Admirals3WSommaire du Match
69 - 2021-03-26628CAROLINA Checkers0MILWAUKEE Admirals13WSommaire du Match
70 - 2021-03-27640MILWAUKEE Admirals4LAVAL Rocket0WSommaire du Match
72 - 2021-03-29653SAN ANTONIO Rampage2MILWAUKEE Admirals6WSommaire du Match
73 - 2021-03-30662MILWAUKEE Admirals4UTICA Comets3WSommaire du Match
76 - 2021-04-02680PROVIDENCE Bruins3MILWAUKEE Admirals2LSommaire du Match
77 - 2021-04-03691MILWAUKEE Admirals3TORONTO Marlies0WSommaire du Match
79 - 2021-04-05707SAN ANTONIO Rampage2MILWAUKEE Admirals4WSommaire du Match
80 - 2021-04-06716MILWAUKEE Admirals3TORONTO Marlies2WXSommaire du Match
81 - 2021-04-07731BAKERSFIELD Condors0MILWAUKEE Admirals12WSommaire du Match
83 - 2021-04-09746MILWAUKEE Admirals3BINGHAMTON Devils4LXXSommaire du Match
84 - 2021-04-10754MILWAUKEE Admirals5MANITOBA Moose1WSommaire du Match
85 - 2021-04-11766MANITOBA Moose4MILWAUKEE Admirals2LSommaire du Match
88 - 2021-04-14785ONTARIO Reign1MILWAUKEE Admirals0LSommaire du Match
89 - 2021-04-15797MILWAUKEE Admirals3HERSEY Bears2WXSommaire du Match
91 - 2021-04-17809STOCKTON Flames4MILWAUKEE Admirals3LXXSommaire du Match
92 - 2021-04-18822MILWAUKEE Admirals4SYRACUSE Crunch3WXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
94 - 2021-04-20838BINGHAMTON Devils1MILWAUKEE Admirals4WSommaire du Match
95 - 2021-04-21852MILWAUKEE Admirals3LEHIGH VALLEY Phantoms1WSommaire du Match
96 - 2021-04-22863SAN DIEGO Gulls0MILWAUKEE Admirals11WSommaire du Match
97 - 2021-04-23874MILWAUKEE Admirals10BROOKLYN Wolfpack0WSommaire du Match
99 - 2021-04-25887MILWAUKEE Admirals0PROVIDENCE Bruins4LSommaire du Match
100 - 2021-04-26896SCRANTON Penguins2MILWAUKEE Admirals3WSommaire du Match
101 - 2021-04-27908MILWAUKEE Admirals1HERSEY Bears3LSommaire du Match
103 - 2021-04-29923CHICAGO Wolves1MILWAUKEE Admirals2WSommaire du Match
105 - 2021-05-01941SAN DIEGO Gulls1MILWAUKEE Admirals10WSommaire du Match
106 - 2021-05-02951MILWAUKEE Admirals8BROOKLYN Wolfpack1WSommaire du Match
108 - 2021-05-04968UTICA Comets3MILWAUKEE Admirals2LSommaire du Match
109 - 2021-05-05976MILWAUKEE Admirals4ONTARIO Reign2WSommaire du Match
110 - 2021-05-06981MILWAUKEE Admirals-SAN ANTONIO Rampage-
112 - 2021-05-08997CHICAGO Wolves-MILWAUKEE Admirals-
114 - 2021-05-101017HERSEY Bears-MILWAUKEE Admirals-
115 - 2021-05-111026MILWAUKEE Admirals-SAN ANTONIO Rampage-
116 - 2021-05-121032MILWAUKEE Admirals-BELLEVILLE Senators-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
2 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,119,451$ 1,200,000$ 1,125,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,119,451$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 9 10,169$ 91,521$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison Régulière
348028340453620219574016160231298944401218022241041013812023505523580486710219669167779766242873143413722453213.06%1933283.42%3908232439.07%984270236.42%459119038.57%188113311999563987488
348028340453620219574016160231298944401218022241041013812023505523580486710219669167779766242873143413722453213.06%1933283.42%3908232439.07%984270236.42%459119038.57%188113311999563987488
36754120043253041511533821120120215278743720803123152737910230454685021413897636267986287990158211562627310872194621.00%1141388.60%41211221654.65%1030227045.37%599113652.73%195914551709482883453
Total Saison Régulière2359788012138177085411671185344058263482668211744440756113602758526470812461954824298193197267071224422332495190697120881141383170911015.51%5007784.60%103027686444.10%2998767439.07%1517351643.15%572341195707161028591431