Milwaukee Admirals

GP: 82 | W: 63 | L: 14 | OTL: 5 | P: 131
GF: 287 | GA: 131 | PP%: 18.05% | PK%: 89.18%
DG: Stéphane Fournier | Morale : 99 | Moyenne d'Équipe : N/A
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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)XX100.0073737768736966625059626459505019200
2Evan RodriguesX100.0052506376646868657257646750505019100
3Peter HollandXXX100.0065507374726265637762596363646419100
4Jordan SzwarzXX100.0065726868726865665064636460505017300
5Lukas SedlakX100.0081508476715465648160606250515119100
6Mike HalmoXX100.0063725964727268565050606057505019100
7Chandler StephensonX100.0069696972696966587359536250505019100
8Adam ClendeningX100.0054506584746557732560595750555518700
9Dakota MermisX100.0055715767716769502550505850505018200
10Dean KukanX100.0061766366766467512558506350505012400
11Philip Larsen (R)X100.0069507475677159732555566350606018700
12Travis Sanheim (R)X100.0058706975707578652560576250505015400
13Ben Thomas (R)X100.0059716762716972502553506150505019000
14Dysin Mayo (R)X100.0059687260686166502556506150505019100
15Jacob Middleton (R)X100.0057765760766568502550506050505014300
16Sergei Boikov (R)X100.0056735864736869502550505950505019000
17Dominik Masin (R)X100.0055705862706973502550505750505012300
18Gus YoungX100.0054725664726066502550505850505015600
Rayé
1Greg ChaseX100.0074686761685460506350506150505012000
2Jaedon Descheneau (R)X100.0067656662655158577153566153505011900
MOYENNE D'ÉQUIPE100.006266666871656658435555615252521690
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 Gustavsson100.007170737670707171707031807914700
Rayé
MOYENNE D'ÉQUIPE100.00717073767070717170703180791470
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/LW8022507225595104128191223511.52%9147718.4713162950264022122693254.65%33300100.9701001369
2Travis SanheimMilwaukee Admirals (Nas)D75215172-6103151371062092710.05%91150220.041726431663460222307120.00%000000.9600102457
3Peter HollandMilwaukee Admirals (Nas)C/LW/RW812345683437574172200123111.50%13165320.414212561389101122924064.98%88800100.8204001283
4Evan RodriguesMilwaukee Admirals (Nas)C812439634639529158207174111.59%15128215.832791712810121034162.98%88600000.9800000364
5Evgeny SvechnikovMilwaukee Admirals (Nas)C/LW81312859448020110118172124318.02%14123215.2287153017400004511055.69%16700010.9601211566
6Lukas SedlakMilwaukee Admirals (Nas)C812730574378014889160142916.87%12144617.859615373140000363561.90%44100010.7900000825
7Matt BenningNashville PredatorsD6112455739114016356140398.57%53138022.63916251053130112262210.00%000010.8300000413
8Philip LarsenMilwaukee Admirals (Nas)D7812445643520929014411178.33%71171221.95817251103950001356200.00%000200.6500000246
9Adam ClendeningMilwaukee Admirals (Nas)D7114385229600876513561410.37%55137819.4191928943020002271300.00%000000.7500000222
10Tim SchallerNashville PredatorsC/LW7020305024340601182194169.13%12129818.55512175332310141274154.29%63000000.7712000233
11Linden VeyNashville PredatorsC/LW/RW32627331514031125114005.26%882825.90111122817100071802064.25%85600000.8004000232
12Ben ThomasMilwaukee Admirals (Nas)D828233137961012835472517.02%62144717.6541014232910000264300.00%200000.4300101022
13Mike HalmoMilwaukee Admirals (Nas)C/LW821219312991357375115101610.43%1396911.830334600004742148.91%13700000.6400232141
14Chandler StephensonMilwaukee Admirals (Nas)C8211203128480807610921710.09%8111113.553811322060002743055.37%24200010.5600000032
15Phillip Di GuiseppeNashville PredatorsC/LW297101746008739580012.07%367923.433471613200001101356.52%13800000.5004000211
16Sergei BoikovMilwaukee Admirals (Nas)D7667131785157326250524.00%2986811.43314751000189100.00%000000.3000011003
17Dysin MayoMilwaukee Admirals (Nas)D824812215407839363611.11%2992211.250338550000520050.00%1000000.2600000101
18Dakota MermisMilwaukee Admirals (Nas)D6118910455601419005.26%2066010.83101335000154000.00%000000.2700100000
19Jaedon DescheneauMilwaukee Admirals (Nas)LW1914542011712008.33%11085.690111110001130058.33%1200000.9300000000
20Gus YoungMilwaukee Admirals (Nas)D44325695115163718.75%71874.27213422000150037.50%800000.5300001100
21Jacob MiddletonMilwaukee Admirals (Nas)D40033044102062000.00%62215.540000500009000.00%000000.2700002000
22Dominik MasinMilwaukee Admirals (Nas)D26011340604000.00%41746.72011011000016000.00%000000.1100000000
23Greg ChaseMilwaukee Admirals (Nas)C18000320321000.00%1522.90000014000080076.19%2100000.0000000000
Stats d'équipe Total ou en Moyenne1432265532797498121013016651549233512329811.35%5362259615.781011902918494022358543026491660.47%477100440.711167512425660
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
1Darcy KuemperNashville Predators66491330.9271.4438732179312710010.875166551241
2Jonas GustavssonMilwaukee Admirals (Nas)1913120.9151.62100002273170100.40051644121
Stats d'équipe Total ou en Moyenne85621450.9241.48487321912015880110.7622181491362


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$500,000$
Evan RodriguesMilwaukee Admirals (Nas)C231993-07-28No179 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
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
2122.90193 Lbs6 ft12.76554,476$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jordan SzwarzPeter HollandLukas Sedlak40122
2Evgeny SvechnikovEvan RodriguesChandler Stephenson30122
3Mike HalmoLukas SedlakPeter Holland20122
4Evan RodriguesChandler 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 SvechnikovEvan RodriguesChandler Stephenson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Adam Clendening40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Peter HollandEvan Rodrigues60122
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
2Evan Rodrigues40122Adam Clendening40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Peter HollandEvan Rodrigues60122
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, Evan Rodrigues, 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
1Abbotsford Heat32000001954110000003122100000164250.833916250010511167583780792746364822325625520.00%7185.71%01572264059.55%1248223955.74%705114861.41%232616931670555964519
2Adirondack Phantoms22000000725110000003121100000041341.00071320001051116755378079274636496594816318.75%130100.00%01572264059.55%1248223955.74%705114861.41%232616931670555964519
3Albany Devils21000010752100000105411100000021141.000710170010511167549780792746365513364414321.43%18288.89%01572264059.55%1248223955.74%705114861.41%232616931670555964519
4Binghampton Senateurs33000000725110000003212200000040461.000714210210511167578780792746365518486215213.33%23291.30%01572264059.55%1248223955.74%705114861.41%232616931670555964519
5Bridgeport Sound Tigers2020000026-41010000013-21010000013-200.000246001051116754478079274636351016491815.56%8275.00%01572264059.55%1248223955.74%705114861.41%232616931670555964519
6Charlotte Checkers330000002222011000000909220000001321161.0002240620110511167512978079274636421632759444.44%150100.00%01572264059.55%1248223955.74%705114861.41%232616931670555964519
7Chicago Wolves320000011156210000016421100000051450.8331117280010511167587780792746365519355336513.89%130100.00%01572264059.55%1248223955.74%705114861.41%232616931670555964519
8Connecticut Whale220000001349110000008351100000051441.0001324370010511167510178079274636331024455120.00%12191.67%11572264059.55%1248223955.74%705114861.41%232616931670555964519
9Grand Rapids Griffins55000000256192200000010010330000001569101.000254671021051116751747807927463697375611931722.58%26292.31%11572264059.55%1248223955.74%705114861.41%232616931670555964519
10Hamilton Bulldogs3120000038-5110000002112020000017-620.333358001051116756078079274636551551511815.56%23673.91%01572264059.55%1248223955.74%705114861.41%232616931670555964519
11Hershey Bears22000000743110000004221100000032141.000712190010511167548780792746365317333311218.18%14285.71%01572264059.55%1248223955.74%705114861.41%232616931670555964519
12Houston Aeros5410000026179330000002010102110000067-180.80026467200105111675154780792746361304584120371335.14%25388.00%01572264059.55%1248223955.74%705114861.41%232616931670555964519
13Lake Erie Monsters3300000012111110000003032200000091861.0001222340210511167510178079274636541530576350.00%15193.33%01572264059.55%1248223955.74%705114861.41%232616931670555964519
14Manchester Monarchs2200000013310110000007251100000061541.00013223500105111675967807927463636725419555.56%9277.78%01572264059.55%1248223955.74%705114861.41%232616931670555964519
15Norfolk Admirals211000006511010000004-41100000061520.50061218001051116754478079274636481647518112.50%17288.24%01572264059.55%1248223955.74%705114861.41%232616931670555964519
16Oklahoma City Barons321000001165220000009271010000024-240.6671119300110511167577780792746366922587510220.00%22386.36%01572264059.55%1248223955.74%705114861.41%232616931670555964519
17Peoria Rivermen320000101046100000103212200000072561.0001015250110511167568780792746366219445917423.53%22290.91%01572264059.55%1248223955.74%705114861.41%232616931670555964519
18Portland Pirates22000000835110000002021100000063341.000816240110511167559780792746364118303919421.05%13284.62%01572264059.55%1248223955.74%705114861.41%232616931670555964519
19Providence Bruins211000007431010000023-11100000051420.50071320001051116754878079274636409363810220.00%8187.50%01572264059.55%1248223955.74%705114861.41%232616931670555964519
20Rochester Americans32000001532220000003031000000123-150.833510150210511167568780792746365521575925312.00%25292.00%01572264059.55%1248223955.74%705114861.41%232616931670555964519
21Rockford IceHogs33000000835110000004132200000042261.000813210110511167588780792746365215264723417.39%12191.67%11572264059.55%1248223955.74%705114861.41%232616931670555964519
22San Antonio Rampage31100010936210000108171010000012-140.667916250110511167597780792746364517366922313.64%18194.44%01572264059.55%1248223955.74%705114861.41%232616931670555964519
23Springfield Falcons532000001183330000009362020000025-360.6001120311110511167595780792746361303689933825.26%40295.00%01572264059.55%1248223955.74%705114861.41%232616931670555964519
24St-John Ice Caps320000101055110000005232100001053261.0001017270010511167510378079274636611136582214.55%18477.78%01572264059.55%1248223955.74%705114861.41%232616931670555964519
25Syracuse Crunch2110000045-1110000003121010000014-320.500481200105111675347807927463647930412229.09%15473.33%01572264059.55%1248223955.74%705114861.41%232616931670555964519
26Texas Stars32100000642211000003301100000031240.66761016011051116756178079274636581569572129.52%27388.89%01572264059.55%1248223955.74%705114861.41%232616931670555964519
27Toronto Marlies330000002011922000000131121100000070761.00020365602105111675132780792746364010248311654.55%110100.00%01572264059.55%1248223955.74%705114861.41%232616931670555964519
Total8259140014428713115641315001311536093412890001313471631310.7992875107971191051116752332780792746361650495121017125329618.05%4995489.18%31572264059.55%1248223955.74%705114861.41%232616931670555964519
29Wilkes-Barre Penguins2000010124-21000010012-11000000112-120.500246001051116754678079274636469414810220.00%18288.89%01572264059.55%1248223955.74%705114861.41%232616931670555964519
30Worchester Sharks32100000633211000004221100000021140.667610160110511167555780792746365918264224312.50%12191.67%01572264059.55%1248223955.74%705114861.41%232616931670555964519
_Since Last GM Reset8259140014428713115641315001311536093412890001313471631310.7992875107971191051116752332780792746361650495121017125329618.05%4995489.18%31572264059.55%1248223955.74%705114861.41%232616931670555964519
_Vs Conference46356000231776810923191000219626702316500002814239770.8371773114880141051116751379780792746368622886349802916221.31%2612590.42%21572264059.55%1248223955.74%705114861.41%232616931670555964519
_Vs Division181200001164303410400001131151688000000331518270.7506411217603105111675501780792746363561222533571312519.08%931188.17%01572264059.55%1248223955.74%705114861.41%232616931670555964519

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82131W112875107972332165049512101712119
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8259140144287131
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41315013115360
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
41289001313471
Derniers 10 Matchs
WLOTWOTL SOWSOL
1000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
5329618.05%4995489.18%3
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
78079274636105111675
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
1572264059.55%1248223955.74%705114861.41%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
232616931670555964519


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 - 2017-10-029Houston Aeros6Milwaukee Admirals7WSommaire du Match
4 - 2017-10-0413Milwaukee Admirals2Lake Erie Monsters1WSommaire du Match
5 - 2017-10-0537Toronto Marlies1Milwaukee Admirals6WSommaire du Match
9 - 2017-10-0951Milwaukee Admirals4Houston Aeros2WSommaire du Match
10 - 2017-10-1062Milwaukee Admirals2Binghampton Senateurs0WSommaire du Match
11 - 2017-10-1167Milwaukee Admirals4Grand Rapids Griffins3WSommaire du Match
14 - 2017-10-1488San Antonio Rampage1Milwaukee Admirals7WSommaire du Match
17 - 2017-10-17107Springfield Falcons1Milwaukee Admirals3WSommaire du Match
18 - 2017-10-18123Milwaukee Admirals8Grand Rapids Griffins2WSommaire du Match
20 - 2017-10-20139Oklahoma City Barons2Milwaukee Admirals3WSommaire du Match
23 - 2017-10-23160Milwaukee Admirals1Rockford IceHogs0WSommaire du Match
24 - 2017-10-24171Grand Rapids Griffins0Milwaukee Admirals6WSommaire du Match
25 - 2017-10-25182Milwaukee Admirals2St-John Ice Caps1WXXSommaire du Match
29 - 2017-10-29199Milwaukee Admirals1Springfield Falcons2LSommaire du Match
30 - 2017-10-30207Houston Aeros1Milwaukee Admirals7WSommaire du Match
32 - 2017-11-01229Texas Stars0Milwaukee Admirals2WSommaire du Match
34 - 2017-11-03246Milwaukee Admirals0Hamilton Bulldogs4LSommaire du Match
35 - 2017-11-04254Milwaukee Admirals7Toronto Marlies0WSommaire du Match
36 - 2017-11-05265Wilkes-Barre Penguins2Milwaukee Admirals1LXSommaire du Match
39 - 2017-11-08284Milwaukee Admirals6Norfolk Admirals1WSommaire du Match
40 - 2017-11-09294Manchester Monarchs2Milwaukee Admirals7WSommaire du Match
42 - 2017-11-11314Milwaukee Admirals3Hershey Bears2WSommaire du Match
43 - 2017-11-12325Adirondack Phantoms1Milwaukee Admirals3WSommaire du Match
45 - 2017-11-14340Milwaukee Admirals5Connecticut Whale1WSommaire du Match
46 - 2017-11-15353Milwaukee Admirals1Springfield Falcons3LSommaire du Match
47 - 2017-11-16360Albany Devils4Milwaukee Admirals5WXXSommaire du Match
50 - 2017-11-19378Milwaukee Admirals2Rochester Americans3LXXSommaire du Match
52 - 2017-11-21389Rochester Americans0Milwaukee Admirals2WSommaire du Match
54 - 2017-11-23412Texas Stars3Milwaukee Admirals1LSommaire du Match
57 - 2017-11-26427Milwaukee Admirals3St-John Ice Caps2WSommaire du Match
58 - 2017-11-27446Syracuse Crunch1Milwaukee Admirals3WSommaire du Match
60 - 2017-11-29461Milwaukee Admirals4Adirondack Phantoms1WSommaire du Match
61 - 2017-11-30474Providence Bruins3Milwaukee Admirals2LSommaire du Match
63 - 2017-12-02491Milwaukee Admirals6Portland Pirates3WSommaire du Match
64 - 2017-12-03500Houston Aeros3Milwaukee Admirals6WSommaire du Match
69 - 2017-12-08526Springfield Falcons0Milwaukee Admirals2WSommaire du Match
70 - 2017-12-09542Milwaukee Admirals2Binghampton Senateurs0WSommaire du Match
74 - 2017-12-13561Binghampton Senateurs2Milwaukee Admirals3WSommaire du Match
76 - 2017-12-15578Milwaukee Admirals1Bridgeport Sound Tigers3LSommaire du Match
77 - 2017-12-16588Charlotte Checkers0Milwaukee Admirals9WSommaire du Match
81 - 2017-12-20608Milwaukee Admirals6Manchester Monarchs1WSommaire du Match
83 - 2017-12-22619Toronto Marlies0Milwaukee Admirals7WSommaire du Match
88 - 2017-12-27643Abbotsford Heat1Milwaukee Admirals3WSommaire du Match
89 - 2017-12-28655Milwaukee Admirals5Chicago Wolves1WSommaire du Match
91 - 2017-12-30674Worchester Sharks2Milwaukee Admirals1LSommaire du Match
93 - 2018-01-01688Milwaukee Admirals6Charlotte Checkers1WSommaire du Match
94 - 2018-01-02702Bridgeport Sound Tigers3Milwaukee Admirals1LSommaire du Match
97 - 2018-01-05721Milwaukee Admirals7Lake Erie Monsters0WSommaire du Match
100 - 2018-01-08734Peoria Rivermen2Milwaukee Admirals3WXXSommaire du Match
102 - 2018-01-10756Milwaukee Admirals1San Antonio Rampage2LSommaire du Match
103 - 2018-01-11763Milwaukee Admirals1Syracuse Crunch4LSommaire du Match
104 - 2018-01-12770Portland Pirates0Milwaukee Admirals2WSommaire du Match
106 - 2018-01-14793San Antonio Rampage0Milwaukee Admirals1WXXSommaire du Match
110 - 2018-01-18816Grand Rapids Griffins0Milwaukee Admirals4WSommaire du Match
111 - 2018-01-19818Milwaukee Admirals2Albany Devils1WSommaire du Match
112 - 2018-01-20835Milwaukee Admirals3Rockford IceHogs2WSommaire du Match
114 - 2018-01-22848Milwaukee Admirals2Oklahoma City Barons4LSommaire du Match
115 - 2018-01-23859Milwaukee Admirals1Wilkes-Barre Penguins2LXXSommaire du Match
116 - 2018-01-24864Rochester Americans0Milwaukee Admirals1WSommaire du Match
119 - 2018-01-27889Lake Erie Monsters0Milwaukee Admirals3WSommaire du Match
120 - 2018-01-28899Milwaukee Admirals7Charlotte Checkers1WSommaire du Match
122 - 2018-01-30918Chicago Wolves2Milwaukee Admirals1LXXSommaire du Match
123 - 2018-01-31926Milwaukee Admirals2Houston Aeros5LSommaire du Match
124 - 2018-02-01940Milwaukee Admirals3Texas Stars1WSommaire du Match
125 - 2018-02-02953Hamilton Bulldogs1Milwaukee Admirals2WSommaire du Match
129 - 2018-02-06967Milwaukee Admirals5Providence Bruins1WSommaire du Match
131 - 2018-02-08980Connecticut Whale3Milwaukee Admirals8WSommaire du Match
132 - 2018-02-09987Milwaukee Admirals2Abbotsford Heat3LXXSommaire du Match
137 - 2018-02-141012Norfolk Admirals4Milwaukee Admirals0LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
141 - 2018-02-181037Oklahoma City Barons0Milwaukee Admirals6WSommaire du Match
142 - 2018-02-191057Milwaukee Admirals1Hamilton Bulldogs3LSommaire du Match
144 - 2018-02-211067Worchester Sharks0Milwaukee Admirals3WSommaire du Match
145 - 2018-02-221077Milwaukee Admirals4Abbotsford Heat1WSommaire du Match
147 - 2018-02-241097Springfield Falcons2Milwaukee Admirals4WSommaire du Match
149 - 2018-02-261107Milwaukee Admirals3Peoria Rivermen0WSommaire du Match
152 - 2018-03-011127Rockford IceHogs1Milwaukee Admirals4WSommaire du Match
153 - 2018-03-021134Milwaukee Admirals4Peoria Rivermen2WSommaire du Match
155 - 2018-03-041155Hershey Bears2Milwaukee Admirals4WSommaire du Match
156 - 2018-03-051161Milwaukee Admirals2Worchester Sharks1WSommaire du Match
158 - 2018-03-071169Milwaukee Admirals3Grand Rapids Griffins1WSommaire du Match
163 - 2018-03-121200St-John Ice Caps2Milwaukee Admirals5WSommaire du Match
168 - 2018-03-171230Chicago Wolves2Milwaukee Admirals5WSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
620,982$ 116,440$ 74,280$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 120,969$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 3,648$ 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
128259140014428713115641315001311536093412890001313471631312875107971191051116752332780792746361650495121017125329618.05%4995489.18%31572264059.55%1248223955.74%705114861.41%232616931670555964519
Total Saison Régulière8259140014428713115641315001311536093412890001313471631312875107971191051116752332780792746361650495121017125329618.05%4995489.18%31572264059.55%1248223955.74%705114861.41%232616931670555964519