Milwaukee Admirals

GP: 4 | W: 4 | L: 0 | OTL: 0 | P: 8
GF: 24 | GA: 6 | PP%: 30.00% | PK%: 88.24%
DG: Stéphane Fournier | Morale : 99 | Moyenne d'Équipe : N/A
Prochain matchs #60 vs Rochester Americans
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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
1Evgeny Svechnikov (R)XX100.0073737768736966625059626459505019400
2Peter HollandXXX100.0065507374726265637762596363646419300
3Jordan SzwarzXX100.0065726868726865665064636460505018300
4Lukas SedlakX100.0081508476715465648160606250515119300
5Mike HalmoXX100.0063725964727268565050606057505019300
6Chandler StephensonX100.0069696972696966587359536250505019300
7Adam ClendeningX100.0054506584746557732560595750555519000
8Dakota MermisX100.0055715767716769502550505850505018800
9Dean KukanX100.0061766366766467512558506350505013000
10Philip Larsen (R)X100.0069507475677159732555566350606018900
11Travis Sanheim (R)X100.0058706975707578652560576250505016000
12Ben Thomas (R)X100.0059716762716972502553506150505019200
13Dysin Mayo (R)X100.0059687260686166502556506150505019300
14Jacob Middleton (R)X100.0057765760766568502550506050505014900
15Sergei Boikov (R)X100.0056735864736869502550505950505019200
16Dominik Masin (R)X100.0055705862706973502550505750505012900
17Gus YoungX100.0054725664726066502550505850505016800
Rayé
1Greg ChaseX100.0074686761685460506350506150505012600
2Jaedon Descheneau (R)X100.0067656662655158577153566153505012500
MOYENNE D'ÉQUIPE100.006367666871656657425554615252521730
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
1Jonas Gustavsson100.007170737670707171707031807915800
Rayé
MOYENNE D'ÉQUIPE100.00717073767070717170703180791580
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Marc Crawford72747570787725CAN551500,000$


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'ÉquipePOS 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
1Jordan SzwarzMilwaukee Admirals (Nas)C/LW43101311008122432112.50%29223.061127121011101057.14%700002.8200000210
2Evan RodriguesNashville PredatorsC43695000112811810.71%09824.631128121011120058.11%7400001.8300000010
3Lukas SedlakMilwaukee Admirals (Nas)C41898007917295.88%19022.60112412011270065.31%4900001.9900000010
4Adam ClendeningMilwaukee Admirals (Nas)D4358712012350360.00%16015.140001101101000.00%000002.6400000011
5Peter HollandMilwaukee Admirals (Nas)C/LW/RW45387205111331638.46%09624.090220140112122069.89%9300011.6600000101
6Evgeny SvechnikovMilwaukee Admirals (Nas)C/LW4617300962751522.22%28922.48112315000020042.86%1400011.5600000100
7Chandler StephensonMilwaukee Admirals (Nas)C40664204107280.00%19523.90022015000070078.38%3700001.2600000000
8Gus YoungMilwaukee Admirals (Nas)D41342202230133.33%1235.9802211000001050.00%400003.3400000000
9Dysin MayoMilwaukee Admirals (Nas)D41230402442025.00%15413.601121400000000.00%500001.1000000000
10Mike HalmoMilwaukee Admirals (Nas)C/LW41120605512388.33%27318.4511219000040066.67%2100000.5400000000
11Dakota MermisMilwaukee Admirals (Nas)D4000120201000.00%0112.840000000000000.00%000000.0000000000
12Ben ThomasMilwaukee Admirals (Nas)D4000100341020.00%0307.740000000000000.00%000000.0000000000
13Sergei BoikovMilwaukee Admirals (Nas)D4000120210000.00%0112.840000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne52244569503206178142319116.90%1182915.956121826992356614064.14%30400021.6600000442
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
1Jonas GustavssonMilwaukee Admirals (Nas)44000.9321.49241036880000.000044001
Stats d'équipe Total ou en Moyenne44000.9321.49241036880000.000044001


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Adam ClendeningMilwaukee Admirals (Nas)D241992-10-26No190 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm900,000$0$0$No900,000$
Ben ThomasMilwaukee Admirals (Nas)D201996-05-27Yes190 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Chandler StephensonMilwaukee Admirals (Nas)C221994-04-22No190 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Dakota MermisMilwaukee Admirals (Nas)D231994-01-05No196 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Dean KukanMilwaukee Admirals (Nas)D231993-07-07No209 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Dominik MasinMilwaukee Admirals (Nas)D201996-01-31Yes189 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Dysin MayoMilwaukee Admirals (Nas)D201996-08-16Yes185 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Evgeny SvechnikovMilwaukee Admirals (Nas)C/LW201996-10-30Yes199 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$900,000$
Greg ChaseMilwaukee Admirals (Nas)C221994-12-31No189 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm894,000$0$0$No894,000$
Gus YoungMilwaukee Admirals (Nas)D251991-07-10No190 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Jacob MiddletonMilwaukee Admirals (Nas)D211996-01-01Yes200 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Jaedon DescheneauMilwaukee Admirals (Nas)LW211995-02-21Yes186 Lbs5 ft9NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Jonas GustavssonMilwaukee Admirals (Nas)G321984-10-24No192 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm2,500,000$0$0$No
Jordan SzwarzMilwaukee Admirals (Nas)C/LW251991-05-13No200 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Lukas SedlakMilwaukee Admirals (Nas)C231993-02-24No198 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Mike HalmoMilwaukee Admirals (Nas)C/LW251991-05-14No209 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Peter HollandMilwaukee Admirals (Nas)C/LW/RW251991-01-14No194 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Philip LarsenMilwaukee Admirals (Nas)D271989-12-07Yes182 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm450,000$0$0$No450,000$
Sergei BoikovMilwaukee Admirals (Nas)D201996-01-23Yes195 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Travis SanheimMilwaukee Admirals (Nas)D201996-03-28Yes181 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$900,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2022.90193 Lbs6 ft12.75567,200$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jordan SzwarzPeter HollandLukas Sedlak40122
2Evgeny SvechnikovChandler Stephenson30122
3Mike HalmoLukas SedlakPeter Holland20122
4Chandler StephensonJordan Szwarz10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Adam Clendening30122
3Ben ThomasDysin Mayo20122
4Dakota MermisSergei Boikov10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jordan SzwarzPeter HollandLukas Sedlak60122
2Evgeny SvechnikovChandler Stephenson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Adam Clendening40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Peter Holland60122
2Lukas SedlakJordan Szwarz40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Adam Clendening40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Peter Holland6012260122
240122Adam Clendening40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Peter Holland60122
2Lukas SedlakJordan Szwarz40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Adam Clendening40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jordan SzwarzPeter HollandLukas Sedlak
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jordan SzwarzPeter HollandLukas Sedlak
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mike Halmo, Evgeny Svechnikov, Chandler StephensonMike Halmo, Evgeny SvechnikovChandler Stephenson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Gus Young, Ben Thomas, Dysin MayoGus YoungBen Thomas, Dysin Mayo
Tirs de Pénalité
Peter Holland, , Lukas Sedlak, Jordan Szwarz, Evgeny Svechnikov
Gardien
#1 : , #2 : Jonas Gustavsson


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
1Rockford IceHogs4400000024618220000001401422000000106481.000244569031085114351454438814347720630.00%17288.24%28511971.43%7112357.72%406759.70%1148782264422
Total4400000024618220000001401422000000106481.000244569031085114351454438814347720630.00%17288.24%28511971.43%7112357.72%406759.70%1148782264422
_Since Last GM Reset4400000024618220000001401422000000106481.000244569031085114351454438814347720630.00%17288.24%28511971.43%7112357.72%406759.70%1148782264422
_Vs Conference4400000024618220000001401422000000106481.000244569031085114351454438814347720630.00%17288.24%28511971.43%7112357.72%406759.70%1148782264422

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
48OTW12445691438814347703
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4400000246
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2200000140
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2200000106
Derniers 10 Matchs
WLOTWOTL SOWSOL
301000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
20630.00%17288.24%2
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
514544310851
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
8511971.43%7112357.72%406759.70%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1148782264422


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
2 - 2018-04-086Rockford IceHogs0Milwaukee Admirals7WSommaire du Match
4 - 2018-04-1014Rockford IceHogs0Milwaukee Admirals7WSommaire du Match
6 - 2018-04-1222Milwaukee Admirals3Rockford IceHogs0WSommaire du Match
8 - 2018-04-1430Milwaukee Admirals7Rockford IceHogs6WXSommaire du Match
16 - 2018-04-2260Rochester Americans-Milwaukee Admirals-
18 - 2018-04-2464Rochester Americans-Milwaukee Admirals-
20 - 2018-04-2668Milwaukee Admirals-Rochester Americans-
22 - 2018-04-2872Milwaukee Admirals-Rochester Americans-
24 - 2018-04-3076Rochester Americans-Milwaukee Admirals-
26 - 2018-05-0280Milwaukee Admirals-Rochester Americans-
28 - 2018-05-0484Rochester Americans-Milwaukee Admirals-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 113,440$ 65,880$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 13 0$ 0$




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
12440000002461822000000140142200000010648244569031085114351454438814347720630.00%17288.24%28511971.43%7112357.72%406759.70%1148782264422
Total Séries440000002461822000000140142200000010648244569031085114351454438814347720630.00%17288.24%28511971.43%7112357.72%406759.70%1148782264422