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Milwaukee Admirals
GP: 13 | W: 7 | L: 6
GF: 34 | GA: 34 | PP%: 20.31% | PK%: 85.11%
DG: Luke | Morale : 86 | Moyenne d’équipe : N/A

Centre de jeu
False Creek Flaming Poo
8-4-0, 16pts
3
2 Milwaukee Admirals
7-6-0, 14pts
Team Stats
W2SéquenceL2
5-2-0Fiche domicile2-4-0
3-2-0Fiche domicile5-2-0
6-3-1Derniers 10 matchs5-5-0
3.08Buts par match 2.62
2.58Buts contre par match 2.62
18.60%Pourcentage en avantage numérique20.31%
86.67%Pourcentage en désavantage numérique85.11%
Milwaukee Admirals
7-6-0, 14pts
1
2 False Creek Flaming Poo
8-4-0, 16pts
Team Stats
L2SéquenceW2
2-4-0Fiche domicile5-2-0
5-2-0Fiche domicile3-2-0
5-5-0Derniers 10 matchs6-3-1
2.62Buts par match 3.08
2.62Buts contre par match 2.58
20.31%Pourcentage en avantage numérique18.60%
85.11%Pourcentage en désavantage numérique86.67%
Meneurs d'équipe
Buts
Jack Roslovic
7
Passes
Daniil Miromanov
7
Points
Jack Roslovic
13
Plus/Moins
Matthew Poitras
2
Victoires
Charlie Lindgren
5
Pourcentage d’arrêts
Charlie Lindgren
0.915

Statistiques d’équipe
Buts pour
34
2.62 GFG
Tirs pour
375
28.85 Avg
Pourcentage en avantage numérique
20.3%
13 GF
Début de zone offensive
40.6%
Buts contre
34
2.62 GAA
Tirs contre
397
30.54 Avg
Pourcentage en désavantage numérique
85.1%%
7 GA
Début de la zone défensive
40.9%
Informations de l'équipe

Directeur généralLuke
EntraîneurManny Viverios
DivisionCentral Division
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 50
Espoirs31


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
1Ross ColtonXX100.00905091796258877780586168785142082002812,200,000$
2Jeffrey VielX100.0099805874716976715359566556504708200283625,000$
3Dylan GambrellXX100.00585083775356877477595869624942043002911,150,000$
4Jack RoslovicXX100.00445096846576868289657468676855082002812,350,000$
5Jan Jenik (R)XX100.0084636872666969705858576457464008000242875,000$
6Matthew Poitras (R)X100.0049509282497479767070576857333508200213750,000$
7Jakub Brabenec (R)XX100.0055509469436972657756556155333408200212600,000$
8Adam Beckman (R)XX100.0065508670506969667060596356413908200242825,000$
9Brett SeneyX100.0060547476286970745362566257554508200291672,760$
10Kevin RooneyXXX100.0055509475576287746858617562595008200321995,000$
11Daniil MiromanovXX100.00515092807279707640605876584941082002811,000,000$
12Nicklaus PerbixX100.00485092747180876640595973544540082002711,150,000$
13Uvis BalinskisX100.00635391806473847640645973585552082002931,250,000$
14Kurtis MacDermidXX100.0079799073966784715259606854644908300311950,000$
15Guillaume Brisebois (R)X100.0056559171426868674053546954554905900281695,000$
16Erik GustafssonX100.0053509079567677764065577360696008200331800,000$
17Emil LillebergX100.0092687278747586784061597353394308200242600,000$
18Jake ChristiansenX100.0071539777657181724057537362483808200251900,000$
Rayé
1Daimon Gardner (R)X100.0058508765696060647554536053272502000213600,000$
2Marc-Andre Gaudet (R)X100.0058509965475555654059616461312902000213400,000$
3Nikita Novikov (R)X100.0070538068626974664055566753363802000222300,000$
4John St. Ivany (R)X100.0090628872706972674058537253433902000261725,000$
MOYENNE D’ÉQUIPE100.006655877561697672566058685848420680
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Charlie Lindgren100.0084746977868586878678727171078003131,500,000$
2Laurent Brossoit100.0080736684878689868878776868075003211,500,000$
Rayé
1Calle Clang (R)100.007861587878777877787880454502300231700,000$
MOYENNE D’ÉQUIPE100.00816964808483848384787661610590
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Manny Viverios74757379676750CAN5731$


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
1Jack RoslovicMilwaukee Admirals (NSH)C/RW137613-60003056164012.50%126320.2453818480000191056.88%32700000.9900000211
2Daniil MiromanovMilwaukee Admirals (NSH)RW/D133710-200824448316.82%126120.1313415590000172043.48%2300000.7600000010
3Nicklaus PerbixMilwaukee Admirals (NSH)D133710-36010112661611.54%2129923.021451257000038100%000000.6700000100
4Kevin RooneyMilwaukee Admirals (NSH)C/LW/RW135381004224392911.63%529322.551128560000410060.00%2500100.5500000010
5Uvis BalinskisMilwaukee Admirals (NSH)D132571602317111918.18%1425019.3100003101129010%000000.5600000110
6Kurtis MacDermidMilwaukee Admirals (NSH)LW/D1316716016151913205.26%828321.820337590000340044.44%900000.4900000100
7Emil LillebergMilwaukee Admirals (NSH)D13257-31203011259178.00%1422217.081231547011111010%000000.6300000110
8Jake ChristiansenMilwaukee Admirals (NSH)D1325718014943650.00%921116.240000000000000%000000.6600000000
9Matthew PoitrasMilwaukee Admirals (NSH)C13246200210101920.00%21209.260336600000482048.13%21400001.0000000010
10Erik GustafssonMilwaukee Admirals (NSH)D13246-616017112313218.70%2130723.662131447000131000%000000.3900000001
11Ross ColtonMilwaukee Admirals (NSH)C/LW13235-51204014353425.71%227621.262248470002201150.00%2800000.3600000010
12Dylan GambrellMilwaukee Admirals (NSH)C/RW13213-2606181751711.76%320015.4300007000000055.56%1800000.3000000000
13Jakub BrabenecMilwaukee Admirals (NSH)C/LW13123-220532971411.11%021916.8700000000000053.69%24400000.2700000000
14Adam BeckmanMilwaukee Admirals (NSH)C/LW13022-340207205110%119214.8400000000000066.67%900000.2100000000
15Jeffrey VielMilwaukee Admirals (NSH)LW13011020337130%1483.690000001102000%300000.4200000000
16Jan JenikMilwaukee Admirals (NSH)C/RW13011-22002914225100%223618.22011248000000042.53%22100000.0800000000
17Guillaume BriseboisMilwaukee Admirals (NSH)D13011-320254120%1018814.470000000000000%000000.1100000000
18Brett SeneyMilwaukee Admirals (NSH)LW13000000000000%010.130000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne234346397-3110202292533751062979.07%115387616.5713233610554312352967351.12%112100100.5000000672
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)125500.9152.75611202833000000112102
2Laurent BrossoitMilwaukee Admirals (NSH)42100.9102.001800066701000211000
Statistiques d’équipe totales ou en moyenne167600.9142.58792203439701001313102


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam BeckmanMilwaukee Admirals (NSH)C/LW242001-05-10CANYes182 Lbs6 ft2NoNoFree AgentNoNo22025-08-26FalseFalsePro & Farm825,000$82,500$27,500$No825,000$--------825,000$--------No--------
Brett SeneyMilwaukee Admirals (NSH)LW291996-02-28CANNo156 Lbs5 ft9NoNoTrade2025-02-26NoNo1FalseFalsePro & Farm672,760$67,276$22,425$No---------------------------Lien
Calle ClangMilwaukee Admirals (NSH)G232002-05-20SWEYes190 Lbs6 ft2NoNoTrade2025-07-21NoNo1FalseFalsePro & Farm700,000$70,000$23,333$No---------------------------
Charlie LindgrenMilwaukee Admirals (NSH)G311993-12-18USANo179 Lbs6 ft2NoNoFree Agent2025-01-20NoNo32025-09-01FalseFalsePro & Farm1,500,000$150,000$50,000$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Daimon GardnerMilwaukee Admirals (NSH)C212004-01-18CANYes205 Lbs6 ft5NoNoProspectNoNo32025-07-04FalseFalsePro & Farm600,000$60,000$20,000$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Daniil MiromanovMilwaukee Admirals (NSH)RW/D281997-01-11RUSNo198 Lbs6 ft4NoNoTrade2025-01-25NoNo1FalseFalsePro & Farm1,000,000$100,000$33,333$No---------------------------Lien
Dylan GambrellMilwaukee Admirals (NSH)C/RW291996-08-26USANo185 Lbs5 ft11NoNoTrade2025-03-11NoNo1FalseFalsePro & Farm1,150,000$115,000$38,333$No---------------------------Lien
Emil LillebergMilwaukee Admirals (NSH)D242001-02-02NORNo202 Lbs6 ft2NoNoTrade2024-12-17NoNo2FalseFalsePro & Farm600,000$60,000$20,000$No600,000$--------600,000$--------No--------
Erik GustafssonMilwaukee Admirals (NSH)D331992-03-14SWENo197 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm800,000$80,000$26,667$No---------------------------Lien
Guillaume BriseboisMilwaukee Admirals (NSH)D281997-07-21CANYes175 Lbs6 ft2NoNoFree AgentNoNo12025-01-26FalseFalsePro & Farm695,000$69,500$23,167$No---------------------------Lien
Jack RoslovicMilwaukee Admirals (NSH)C/RW281997-01-29USANo187 Lbs6 ft1NoNoFree Agent2025-01-26NoNo12025-08-26FalseFalsePro & Farm2,350,000$235,000$78,333$No---------------------------Lien
Jake ChristiansenMilwaukee Admirals (NSH)D251999-09-12CANNo186 Lbs6 ft0NoNoFree Agent2025-01-25NoNo12025-08-26FalseFalsePro & Farm900,000$90,000$30,000$No---------------------------Lien
Jakub BrabenecMilwaukee Admirals (NSH)C/LW212003-09-11CZEYes180 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm600,000$60,000$20,000$No600,000$--------600,000$--------No--------
Jan JenikMilwaukee Admirals (NSH)C/RW242000-09-15CZEYes185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm875,000$87,500$29,167$No875,000$--------875,000$--------No--------Lien
Jeffrey VielMilwaukee Admirals (NSH)LW281997-01-28CANNo205 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm625,000$62,500$20,833$No625,000$625,000$-------625,000$625,000$-------NoNo-------Lien
John St. IvanyMilwaukee Admirals (NSH)D261999-07-22USAYes201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm725,000$72,500$24,167$No---------------------------Lien
Kevin RooneyMilwaukee Admirals (NSH)C/LW/RW321993-05-21USANo190 Lbs6 ft2NoNoTrade2025-03-11NoNo1FalseFalsePro & Farm995,000$99,500$33,167$No---------------------------Lien
Kurtis MacDermidMilwaukee Admirals (NSH)LW/D311994-03-25CANNo233 Lbs6 ft5NoNoTrade2025-11-18NoNo1FalseFalsePro & Farm950,000$95,000$31,667$No---------------------------Lien
Laurent BrossoitMilwaukee Admirals (NSH)G321993-03-23CANNo215 Lbs6 ft3NoNoTrade2025-02-22NoNo1FalseFalsePro & Farm1,500,000$150,000$50,000$No---------------------------Lien
Marc-Andre GaudetMilwaukee Admirals (NSH)D212003-10-24CANYes181 Lbs6 ft3NoNoProspectNoNo32025-07-04FalseFalsePro & Farm400,000$40,000$13,333$No400,000$400,000$-------400,000$400,000$-------NoNo-------
Matthew PoitrasMilwaukee Admirals (NSH)C212004-03-10CANYes180 Lbs5 ft11NoNoProspectNoNo32025-07-04FalseFalsePro & Farm750,000$75,000$25,000$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Nicklaus PerbixMilwaukee Admirals (NSH)D271998-06-15USANo201 Lbs6 ft4NoNoTrade2025-03-11NoNo1FalseFalsePro & Farm1,150,000$115,000$38,333$No---------------------------
Nikita NovikovMilwaukee Admirals (NSH)D222003-07-25RUSYes196 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm300,000$30,000$10,000$No300,000$--------300,000$--------No--------
Ross ColtonMilwaukee Admirals (NSH)C/LW281996-09-11USANo194 Lbs6 ft0NoNoFree Agent2025-03-11NoNo12025-08-26FalseFalsePro & Farm2,200,000$220,000$73,333$No---------------------------Lien
Uvis BalinskisMilwaukee Admirals (NSH)D291996-08-01LATNo196 Lbs6 ft0NoNoFree AgentNoNo32025-08-26FalseFalsePro & Farm1,250,000$125,000$41,667$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2526.60192 Lbs6 ft21.68964,510$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ross ColtonJack RoslovicDaniil Miromanov36122
2Kurtis MacDermidJan JenikKevin Rooney32122
3Adam BeckmanJakub BrabenecDylan Gambrell22122
4Jeffrey VielJakub BrabenecRoss Colton10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GustafssonNicklaus Perbix36122
2Uvis BalinskisJake Christiansen32122
3Emil LillebergGuillaume Brisebois22122
4Erik GustafssonGuillaume Brisebois10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kevin RooneyMatthew PoitrasDaniil Miromanov60122
2Ross ColtonJack RoslovicJan Jenik40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kurtis MacDermidNicklaus Perbix60122
2Emil LillebergErik Gustafsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matthew PoitrasKevin Rooney60122
2Jack RoslovicRoss Colton40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kurtis MacDermidNicklaus Perbix60122
2Uvis BalinskisErik Gustafsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kevin Rooney60122Kurtis MacDermidNicklaus Perbix60122
2Dylan Gambrell40122Uvis BalinskisErik Gustafsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matthew PoitrasKevin Rooney60122
2Jack RoslovicRoss Colton40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kurtis MacDermidNicklaus Perbix60122
2Uvis BalinskisErik Gustafsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jeffrey VielKevin RooneyDaniil MiromanovErik GustafssonNicklaus Perbix
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kevin RooneyDylan GambrellDaniil MiromanovErik GustafssonNicklaus Perbix
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Roslovic, Jan Jenik, Ross ColtonDylan Gambrell, Jan JenikDaniil Miromanov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Erik Gustafsson, Emil Lilleberg, Jake ChristiansenErik GustafssonErik Gustafsson, Emil Lilleberg
Tirs de pénalité
Daniil Miromanov, Kurtis MacDermid, Kevin Rooney, Ross Colton, Jan Jenik
Gardien
#1 : Charlie Lindgren, #2 : Laurent Brossoit


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
1False Creek Flaming Poo734000001818031200000770422000001111060.429183351007121322111171261257208706212525416.00%27581.48%123345551.21%23445851.09%10620850.96%3352362959516281
2Laval Rockets642000001616031200000610-433000000106480.667163046007121321641171261257189454210439923.08%20290.00%023345551.21%23445851.09%10620850.96%3352362959516281
Total13760000034340624000001317-47520000021174140.538346397007121323751171261257397115104229641320.31%47785.11%123345551.21%23445851.09%10620850.96%3352362959516281
_Since Last GM Reset13760000034340624000001317-47520000021174140.538346397007121323751171261257397115104229641320.31%47785.11%123345551.21%23445851.09%10620850.96%3352362959516281
_Vs Conference13760000034340624000001317-47520000021174140.538346397007121323751171261257397115104229641320.31%47785.11%123345551.21%23445851.09%10620850.96%3352362959516281
_Vs Division734000001818031200000770422000001111060.429183351007121322111171261257208706212525416.00%27581.48%123345551.21%23445851.09%10620850.96%3352362959516281

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1314L234639737539711510422900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
137600003434
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
62400001317
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
75200002117
Derniers 10 matchs
WLOTWOTL SOWSOL
451000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
641320.31%47785.11%1
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
1171261257712132
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
23345551.21%23445851.09%10620850.96%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
3352362959516281


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
27Laval Rockets1Milwaukee Admirals2WSommaire du match
415Laval Rockets6Milwaukee Admirals3LSommaire du match
623Milwaukee Admirals4Laval Rockets3WXSommaire du match
831Milwaukee Admirals4Laval Rockets2WSommaire du match
1039Laval Rockets3Milwaukee Admirals1LSommaire du match
1247Milwaukee Admirals2Laval Rockets1WSommaire du match
1660Milwaukee Admirals3False Creek Flaming Poo2WSommaire du match
1864Milwaukee Admirals4False Creek Flaming Poo5LSommaire du match
2068False Creek Flaming Poo3Milwaukee Admirals2LSommaire du match
2272False Creek Flaming Poo1Milwaukee Admirals3WSommaire du match
2476Milwaukee Admirals3False Creek Flaming Poo2WXSommaire du match
2680False Creek Flaming Poo3Milwaukee Admirals2LSommaire du match
2884Milwaukee Admirals1False Creek Flaming Poo2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance12,0006,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 3000 - 100.00% 68,000$408,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,411,276$ 2,411,276$ 1$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 25 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 14 0$ 0$




Milwaukee Admirals Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Milwaukee Admirals Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Milwaukee Admirals Statistiques de l'Équipe de Carrière

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

Milwaukee Admirals Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Milwaukee Admirals Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA