Connexion

MILWAUKEE Admirals
GP: 4 | W: 2 | L: 2
GF: 12 | GA: 15 | PP%: 30.77% | PK%: 71.43%
DG: Maxime Vachon | Morale : 81 | Moyenne d’équipe : 60
Prochains matchs #39 vs SAN JOSE Barracuda
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
SAN JOSE Barracuda
2-2-0, 4pts
3
FINAL
4 MILWAUKEE Admirals
2-2-0, 4pts
Team Stats
W1SéquenceL1
1-1-0Fiche domicile1-1-0
1-1-0Fiche domicile1-1-0
2-1-1Derniers 10 matchs2-2-0
3.75Buts par match 3.00
3.00Buts contre par match 3.75
28.57%Pourcentage en avantage numérique30.77%
69.23%Pourcentage en désavantage numérique71.43%
SAN JOSE Barracuda
2-2-0, 4pts
3
FINAL
1 MILWAUKEE Admirals
2-2-0, 4pts
Team Stats
W1SéquenceL1
1-1-0Fiche domicile1-1-0
1-1-0Fiche domicile1-1-0
2-1-1Derniers 10 matchs2-2-0
3.75Buts par match 3.00
3.00Buts contre par match 3.75
28.57%Pourcentage en avantage numérique30.77%
69.23%Pourcentage en désavantage numérique71.43%
MILWAUKEE Admirals
2-2-0, 4pts
Jour 10
SAN JOSE Barracuda
2-2-0, 4pts
Statistiques d’équipe
L1SéquenceW1
1-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur1-1-0
2-2-010 derniers matchs2-1-1
3.00Buts par match 3.75
3.75Buts contre par match 3.75
30.77%Pourcentage en avantage numérique28.57%
71.43%Pourcentage en désavantage numérique69.23%
SAN JOSE Barracuda
2-2-0, 4pts
Jour 12
MILWAUKEE Admirals
2-2-0, 4pts
Statistiques d’équipe
W1SéquenceL1
1-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur1-1-0
2-1-110 derniers matchs2-2-0
3.75Buts par match 3.00
3.00Buts contre par match 3.00
28.57%Pourcentage en avantage numérique30.77%
69.23%Pourcentage en désavantage numérique71.43%
MILWAUKEE Admirals
2-2-0, 4pts
Jour 14
SAN JOSE Barracuda
2-2-0, 4pts
Statistiques d’équipe
L1SéquenceW1
1-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur1-1-0
2-2-010 derniers matchs2-1-1
3.00Buts par match 3.75
3.75Buts contre par match 3.75
30.77%Pourcentage en avantage numérique28.57%
71.43%Pourcentage en désavantage numérique69.23%
Meneurs d'équipe
Anders BjorkButs
Anders Bjork
3
Passes
Alexander Yelesin
4
Anders BjorkPoints
Anders Bjork
5
Anders BjorkPlus/Moins
Anders Bjork
2
Ukko-Pekka LuukkonenVictoires
Ukko-Pekka Luukkonen
2
Ukko-Pekka LuukkonenPourcentage d’arrêts
Ukko-Pekka Luukkonen
0.892

Statistiques d’équipe
Buts pour
12
3.00 GFG
Tirs pour
91
22.75 Avg
Pourcentage en avantage numérique
30.8%
4 GF
Début de zone offensive
34.7%
Buts contre
15
3.75 GAA
Tirs contre
139
34.75 Avg
Pourcentage en désavantage numérique
71.4%%
4 GA
Début de la zone défensive
44.3%
Informations de l'équipe

Directeur généralMaxime Vachon
EntraîneurKevin Dineen
DivisionCentrale
ConférenceOUEST
CapitaineWilliam Borgen
Assistant #1Alexander Yelesin
Assistant #2Connor Mackey


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 80
Espoirs33


Historique d'équipe

Saison actuelle2-2
Historique162-85-8 (0.635%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)6-10
Coupe Stanley0


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
1Anders BjorkXX100.006243776869707063416257626359530886102711,680,000$
2Zach SanfordXX100.00655565637272736655646058636355088610293880,000$
3Nathan SmithX100.00574769696569636444615854635250088590253852,500$
4Hudson ElynuikXXX100.00625259626463646141605560595250085580262852,500$
5Brayden TraceyX100.00564565686162626142615552625050088580222950,000$
6Oskar Olausson (R)X100.00594067656257576241565754615050088580213894,167$
7Pavol RegendaXX100.00634160606962626241585855605150088580243940,500$
8Carter Savoie (R)X100.00564069636260605940545653595050088570213925,000$
9David CottonX100.00574571626464625752525353575350088560262852,500$
10William Borgen (C)X100.007664687484868175407364797169590886902741,950,000$
11Connor Mackey (A)X100.00687356747779686840646270685852088640272912,500$
12Alexander Yelesin (A)X100.00823595617385786030595664536971088630271925,000$
13Ty SmithX100.00584372736767646740655964665350088620232950,000$
14Jeremy DaviesX100.00594757726166656540596068655450088610271750,000$
15Vladislav KolyachonokX100.00645170727069646540615668655150085610223868,000$
16Robin SaloX100.00614373716968626340615367625250088600253880,000$
Rayé
1Mike VecchioneXX100.00584869706270706548656164656456077620303852,500$
2Michael SpacekX100.006135936071878258695961566267640216102600$
3Sebastian RepoXXX100.006436756186767159555860566169650216102700$
4Sean MaloneX100.005751646563676662586158566257520215902800$
5Shane GersichX100.005847697061676662426055606254510215902700$
6Eetu TuulolaX100.00585453546158555340525253535250021540251890,100$
7Markus PhillipsX100.005649545957575452405151585351500215402400$
MOYENNE D’ÉQUIPE100.0062476866676966624460576062575307060
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
1Ukko-Pekka Luukkonen99.0077767787827875767678755752088670243920,700$
2Merrick Madsen100.0077586485767577767576715064089660281750,000$
3Dustin Wolf100.0074637054687375757571595050088640223895,000$
Rayé
MOYENNE D’ÉQUIPE99.677666707575757676757568525508866
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Dineen7570697664591CAN593800,000$


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
1Anders BjorkMILWAUKEE Admirals (NSH)LW/RW432520096153920.00%07719.28224611000131045.45%1100001.3000000101
2Alexander YelesinMILWAUKEE Admirals (NSH)D4044-4201247450%128320.9303341000008000%000000.9600000000
3William BorgenMILWAUKEE Admirals (NSH)D4224200128821125.00%510325.85000210000011000%000000.7700000110
4Mike VecchioneMILWAUKEE Admirals (NSH)C/RW21230401952320.00%04221.4210137000041039.62%5300001.4000000000
5Zach SanfordMILWAUKEE Admirals (NSH)LW/RW421326016292922.22%08421.07011211000090033.33%300000.7100000010
6Connor MackeyMILWAUKEE Admirals (NSH)D4033120765060%88421.00000310000010000%000000.7100000001
7Ty SmithMILWAUKEE Admirals (NSH)D4123-44041471814.29%28421.0712351000009010%000000.7100000000
8Nathan SmithMILWAUKEE Admirals (NSH)C4303-2204582537.50%17719.4100009000040134.52%8400000.7700000000
9Jeremy DaviesMILWAUKEE Admirals (NSH)D4022-100644120%35814.620000000002000%000000.6800000000
10Vladislav KolyachonokMILWAUKEE Admirals (NSH)D4022-160222010%35714.290000000001000%000000.7000000000
11Pavol RegendaMILWAUKEE Admirals (NSH)LW/RW4022-20011343100%17218.1100019000000033.33%300000.5500000000
12Hudson ElynuikMILWAUKEE Admirals (NSH)C/LW/RW4011-320774030%04912.5000000000000038.89%5400000.4000000000
13Brayden TraceyMILWAUKEE Admirals (NSH)LW4000-300464150%15513.8400001000020010.00%100000000000000
14David CottonMILWAUKEE Admirals (NSH)C4000000022010%0256.3300000000000048.15%270000000000000
15Nicholas RobertsonNASHVILLE PredatorsLW1000-100111210%01717.320000400000000%00000000000000
16Robin SaloMILWAUKEE Admirals (NSH)D4000100212110%0205.170000000001000%00000000000000
17Carter SavoieMILWAUKEE Admirals (NSH)LW4000000241100%0348.6700000000080050.00%20000000000000
18Oskar OlaussonMILWAUKEE Admirals (NSH)RW4000-320223320%15313.3700000000000037.50%80000000000000
Statistiques d’équipe totales ou en moyenne67122335-163001028691288213.19%37108216.154812261000001772237.65%25500000.6500000222
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
1Ukko-Pekka LuukkonenMILWAUKEE Admirals (NSH)42200.8923.6724500151390000040000
Statistiques d’équipe totales ou en moyenne42200.8923.672450015139000040000


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Alexander YelesinMILWAUKEE Admirals (NSH)D271996-02-07No195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$396,429$0$0$No------------------Lien
Anders BjorkMILWAUKEE Admirals (NSH)LW/RW271996-08-05No196 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,680,000$720,000$0$0$No------------------Lien NHL
Brayden TraceyMILWAUKEE Admirals (NSH)LW222001-05-28No176 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm950,000$407,143$0$0$No950,000$--------No--------Lien NHL
Carter SavoieMILWAUKEE Admirals (NSH)LW212002-01-23Yes192 Lbs5 ft9NoNoN/ANoNo3FalseFalsePro & Farm925,000$396,429$0$0$No925,000$925,000$-------NoNo-------
Connor MackeyMILWAUKEE Admirals (NSH)D271996-09-12No197 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm912,500$391,071$0$0$No912,500$--------No--------Lien NHL
David CottonMILWAUKEE Admirals (NSH)C261997-07-09No190 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm852,500$365,357$0$0$No852,500$--------No--------Lien NHL
Dustin WolfMILWAUKEE Admirals (NSH)G222001-04-16No157 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm895,000$383,571$0$0$No895,000$895,000$-------NoNo-------Lien NHL
Eetu TuulolaMILWAUKEE Admirals (NSH)RW251998-03-17No227 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm890,100$381,471$0$0$No------------------Lien NHL
Hudson ElynuikMILWAUKEE Admirals (NSH)C/LW/RW261997-12-10No194 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm852,500$365,357$0$0$No852,500$--------No--------Lien NHL
Jeremy DaviesMILWAUKEE Admirals (NSH)D271996-12-04No181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$321,429$0$0$No------------------Lien NHL
Markus PhillipsMILWAUKEE Admirals (NSH)D241999-03-21No207 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------Lien NHL
Merrick MadsenMILWAUKEE Admirals (NSH)G281995-08-22No177 Lbs6 ft5NoNoN/ANoNo12024-01-03FalseFalsePro & Farm750,000$321,429$0$0$No------------------Lien
Michael SpacekMILWAUKEE Admirals (NSH)C261997-04-09No187 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------Lien
Mike VecchioneMILWAUKEE Admirals (NSH)C/RW301993-02-25No194 Lbs5 ft10NoNoFree AgentNoNo32024-01-21FalseFalsePro & Farm852,500$365,357$0$0$No852,500$852,500$-------NoNo-------Lien NHL
Nathan SmithMILWAUKEE Admirals (NSH)C251998-10-19No176 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm852,500$365,357$0$0$No852,500$852,500$-------NoNo-------Lien NHL
Oskar OlaussonMILWAUKEE Admirals (NSH)RW212002-11-10Yes181 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm894,167$383,214$0$0$No894,167$894,167$-------NoNo-------
Pavol RegendaMILWAUKEE Admirals (NSH)LW/RW241999-12-07No212 Lbs6 ft4NoNoFree AgentNoNo32024-01-16FalseFalsePro & Farm940,500$403,071$0$0$No940,500$940,500$-------NoNo-------
Robin SaloMILWAUKEE Admirals (NSH)D251998-10-13No187 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm880,000$377,143$0$0$No880,000$880,000$-------NoNo-------Lien NHL
Sean MaloneMILWAUKEE Admirals (NSH)C281995-04-30No196 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------Lien NHL
Sebastian RepoMILWAUKEE Admirals (NSH)C/LW/RW271996-06-23No211 Lbs6 ft3NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------Lien
Shane GersichMILWAUKEE Admirals (NSH)LW271996-07-10No181 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------Lien NHL
Ty SmithMILWAUKEE Admirals (NSH)D232000-03-24No181 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm950,000$407,143$0$0$No950,000$--------No--------Lien NHL
Ukko-Pekka LuukkonenMILWAUKEE Admirals (NSH)G241999-03-09No217 Lbs6 ft5NoNoN/ANoNo3FalseFalsePro & Farm920,700$394,586$0$0$No920,700$920,700$-------NoNo-------Lien NHL
Vladislav KolyachonokMILWAUKEE Admirals (NSH)D222001-05-26No194 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm868,000$372,000$0$0$No868,000$868,000$-------NoNo-------Lien NHL
William BorgenMILWAUKEE Admirals (NSH)D271996-12-19No205 Lbs6 ft3NoNoFree AgentNoNo42024-01-09FalseFalsePro & Farm1,950,000$835,714$0$0$No1,950,000$1,950,000$1,950,000$------NoNoNo------Lien
Zach SanfordMILWAUKEE Admirals (NSH)LW/RW291994-11-09No207 Lbs6 ft4NoNoFree AgentNoNo32024-01-22FalseFalsePro & Farm880,000$377,143$0$0$No880,000$880,000$-------NoNo-------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2625.38193 Lbs6 ft11.88783,499$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach SanfordAnders Bjork40122
2Nathan SmithPavol Regenda30122
3Brayden TraceyHudson ElynuikOskar Olausson20122
4Carter SavoieDavid Cotton10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1William BorgenConnor Mackey40122
2Alexander YelesinTy Smith30122
3Vladislav KolyachonokJeremy Davies20122
4Robin SaloWilliam Borgen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach SanfordAnders Bjork60122
2Nathan SmithPavol Regenda40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William BorgenConnor Mackey60122
2Alexander YelesinTy Smith40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zach Sanford60122
2Anders BjorkNathan Smith40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William BorgenConnor Mackey60122
2Alexander YelesinTy Smith40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122William BorgenConnor Mackey60122
2Zach Sanford40122Alexander YelesinTy Smith40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zach Sanford60122
2Anders BjorkNathan Smith40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1William BorgenConnor Mackey60122
2Alexander YelesinTy Smith40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach SanfordAnders BjorkWilliam BorgenConnor Mackey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach SanfordAnders BjorkWilliam BorgenConnor Mackey
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Oskar Olausson, Brayden Tracey, Carter SavoieOskar Olausson, Brayden TraceyCarter Savoie
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Vladislav Kolyachonok, Jeremy Davies, Robin SaloVladislav KolyachonokJeremy Davies, Robin Salo
Tirs de pénalité
, , Anders Bjork, Nathan Smith, Zach Sanford
Gardien
#1 : Ukko-Pekka Luukkonen, #2 : Merrick Madsen, #3 : Dustin Wolf


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
1SAN JOSE Barracuda422000001215-32110000056-12110000079-240.500122335005331912631313139373010213430.77%14471.43%03811632.76%3314822.30%287040.00%9364101285125
Total422000001215-32110000056-12110000079-240.500122335005331912631313139373010213430.77%14471.43%03811632.76%3314822.30%287040.00%9364101285125
_Since Last GM Reset422000001215-32110000056-12110000079-240.500122335005331912631313139373010213430.77%14471.43%03811632.76%3314822.30%287040.00%9364101285125
_Vs Conference422000001215-32110000056-12110000079-240.500122335005331912631313139373010213430.77%14471.43%03811632.76%3314822.30%287040.00%9364101285125

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
44L112233591139373010200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
42200001215
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000056
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000079
Derniers 10 matchs
WLOTWOTL SOWSOL
220000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
13430.77%14471.43%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
26313135331
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
3811632.76%3314822.30%287040.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
9364101285125


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
27MILWAUKEE Admirals5SAN JOSE Barracuda4WSommaire du match
415MILWAUKEE Admirals2SAN JOSE Barracuda5LSommaire du match
623SAN JOSE Barracuda3MILWAUKEE Admirals4WXSommaire du match
831SAN JOSE Barracuda3MILWAUKEE Admirals1LSommaire du match
1039MILWAUKEE Admirals-SAN JOSE Barracuda-
1247SAN JOSE Barracuda-MILWAUKEE Admirals-
1455MILWAUKEE Admirals-SAN JOSE Barracuda-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
51 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,037,097$ 2,037,097$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 6 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
1Anders Bjork22714618232819971279358102214.29%83476621.00183048973362613350.59%151.3849
2Gabriel Dumont1541431412841878235723688116.23%45316520.56822306600009159.22%151.7900
3Nicholas Robertson1971121522641963413128290712.35%36329716.7461622570111110653.91%101.6025
4Connor Mackey2567617425019719241329850415.08%257501219.582431551642353700%21.0011
5Tanner Kero124941472411762413932363014.92%58275722.248101860112810456.94%131.7500

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
1Ukko-Pekka Luukkonen18811364100.8993.0310996107556552601250.82434
2Anton Forsberg45321210.8872.8926562512811340010.5002
3Dustin Wolf3517920.8813.4918896311092802000
4Merrick Madsen30000.9302.351020045700000

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
Saison régulière
14825423013017032624414129901200367133234412514001013361292071147031303200619405186111148001475168916345219560933616071404632.86%1453973.10%51422249556.99%1161221952.32%995165360.19%253920281485445906495
1572382603140403242161361715011202181239536211102020185119669140373211354020012274831319911014110631238170240815021684526.79%1713480.12%31278241752.88%1258243151.75%703128754.62%181813341650489879444
161065536038404163061105330180122022116160532518026201951455013241675911751616412811713286493494097538308183991225992959030.51%3847580.47%61607310551.76%1674348947.98%868178748.57%2569178924687551355684
Total Saison régulière260147850712811522810712130764203540806417389130714304741716393323337152227944316615769436302221079534003643371574765721501656570860318130.02%70014878.86%144307801753.72%4093813950.29%2566472754.28%692751525604168931411624
Séries éliminatoires
14624000001926-730300000918-9321000001082419355400510401624961511206531212812325.00%60100.00%06817439.08%6521829.82%4011335.40%13697146437737
15624000001518-3312000001011-13120000057-2415213600932117146465920269682212315320.00%90100.00%06919136.13%10426938.66%379140.66%12183179437434
16422000001215-32110000056-12110000079-24122335005331912631313139373010213430.77%14471.43%03811632.76%3314822.30%287040.00%9364101285125
Total Séries éliminatoires16610000004659-13826000002435-11844000002224-2124679125001916924241211381412461415864353401025.00%29486.21%017548136.38%20263531.81%10527438.32%35124542711420398

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
1Gabriel Dumont127411-5438255612.50%326722.30112800002045.00%00.8200
2Cameron Gaunce63710121261915.79%712721.2910180000000%01.5700
3John Leonard12358-62718339.09%315813.23000000000050.00%01.0100
4William Borgen16358-7033111421.43%1123714.8200020000100%00.6700
5Alexander Yelesin16178-1082719195.26%2724215.1603360000000%00.6600

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
1Ukko-Pekka Luukkonen114510.9163.31653003642700000
2Dustin Wolf62310.8774.22327002318701000