Please rotate your device to landscape mode for a better experience.
Connexion

Milwaukee Admirals
GP: 5 | W: 2 | L: 3
GF: 13 | GA: 11 | PP%: 27.27% | PK%: 75.00%
DG: Dominic St-Pierre | Morale : 41 | Moyenne d’équipe : 58
Prochains matchs #45 vs Bridgeport Islanders

Centre de jeu
Milwaukee Admirals
2-3-0, 4pts
5
1 Bridgeport Islanders
3-2-0, 6pts
Team Stats
OTL1SéquenceOTW1
1-2-0Fiche domicile1-1-0
1-1-0Fiche domicile2-1-0
2-1-2Derniers 10 matchs3-1-1
2.60Buts par match 2.20
2.20Buts contre par match 2.60
27.27%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique72.73%
Bridgeport Islanders
3-2-0, 6pts
3
2 Milwaukee Admirals
2-3-0, 4pts
Team Stats
OTW1SéquenceOTL1
1-1-0Fiche domicile1-2-0
2-1-0Fiche domicile1-1-0
3-1-1Derniers 10 matchs2-1-2
2.20Buts par match 2.60
2.60Buts contre par match 2.20
25.00%Pourcentage en avantage numérique27.27%
72.73%Pourcentage en désavantage numérique75.00%
Milwaukee Admirals
2-3-0, 4pts
Jour 12
Bridgeport Islanders
3-2-0, 6pts
Statistiques d’équipe
OTL1SéquenceOTW1
1-2-0Fiche domicile1-1-0
1-1-0Fiche visiteur2-1-0
2-1-210 derniers matchs3-1-1
2.60Buts par match 2.20
2.20Buts contre par match 2.20
27.27%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique72.73%
Bridgeport Islanders
3-2-0, 6pts
Jour 14
Milwaukee Admirals
2-3-0, 4pts
Statistiques d’équipe
OTW1SéquenceOTL1
1-1-0Fiche domicile1-2-0
2-1-0Fiche visiteur1-1-0
3-1-110 derniers matchs2-1-2
2.20Buts par match 2.60
2.60Buts contre par match 2.60
25.00%Pourcentage en avantage numérique27.27%
72.73%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Buts
Sam Colangelo
3
Passes
Ben Meyers
4
Points
Sam Colangelo
6
Plus/Moins
Samuel Bolduc
5
Victoires
Simon Zajicek
1
Pourcentage d’arrêts
Nikita Tolopilo
0.949

Statistiques d’équipe
Buts pour
13
2.60 GFG
Tirs pour
163
32.60 Avg
Pourcentage en avantage numérique
27.3%
3 GF
Début de zone offensive
34.9%
Buts contre
11
2.20 GAA
Tirs contre
184
36.80 Avg
Pourcentage en désavantage numérique
75.0%%
2 GA
Début de la zone défensive
39.9%
Informations de l'équipe

Directeur généralDominic St-Pierre
EntraîneurGlen Gulutzan
DivisionCentral
ConférenceWestern
CapitaineBen Harpur
Assistant #1Tanner Laczynski
Assistant #2Matt Kiersted


Informations de l’aréna

Capacité3,000
Assistance2,982
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure21
Limite Contrat47 / 72
Espoirs26


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
1Sam Colangelo (R)0XX98.00654078738581656946616763695550150630241775,000$
2Marc Gatcomb0X98.00764576717474646647596363665250150610262775,000$
3Ben Meyers0XX98.00624175686973676662636261656050150600275775,000$
4Tanner Laczynski (A)0XX99.00594272676469656445635962636050150590282775,000$
5Adam Beckman0X98.00584271646465636444616053635250150570251775,000$
6Jan Mysak (R)0XX98.00574173656264626361595853625150150560231775,000$
7Nathan Gaucher (R)0XX100.00665060636862606057585560595050150560221886,666$
8Riley Duran (R)0XXX100.00614172646363615941525558595150150550242867,500$
9Ilya Usau0X100.00614171656362615955555357595050150550242897,500$
10Gavin Hayes (R)0XX98.00594168626161595941565456585050150540221896,667$
11David Edstrom (R)0X100.00604060605050605060505060505050150510213887,000$
12Cole O'Hara (R)0X100.00604070605050605040505060505050150510233860,000$
13Jake Christiansen0X98.00664483747576757040666372696253150650261975,000$
14Matt Kiersted (A)0X98.00644466696370676440625469626050150610284775,000$
15Cale Fleury0X99.00664172676967646440625768636551150610273890,000$
16Ben Harpur (C)0X100.00664467597669675840525364568055150600312787,500$
17Samuel Bolduc0X99.00584076647871656740646159645750150600251775,000$
18Isaak Phillips0X100.00644764687271656440605765635950150600242812,500$
Rayé
1Avery Hayes0X97.99594466695962606242585959635050150560231750,000$
2Riley Kidney (R)0X100.00564367655963626047585354595050150550231836,667$
3David Goyette (R)0X100.00594167625861595841575559585050150540221891,667$
4Tory Dello0X100.00564270656267656040545361595750150570292775,000$
5Case McCarthy0X100.00614066626259575540545361575150150550252750,000$
MOYENNE D’ÉQUIPE99.0462427065656663614658576161555015057
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
1Nikita Tolopilo096.0070656974717172697170595250150660265775,000$
2Simon Zajicek (R)0100.00706060656570707070656050505150630242872,500$
Rayé
1Thomas Milic (R)0100.0068606161646466636664595050150600231750,000$
MOYENNE D’ÉQUIPE98.6769626367676869676966595150185063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Gulutzan7477797762561CAN5311,000,000$


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
1Sam ColangeloMilwaukee Admirals (NSH)C/RW5336100771731117.65%210621.3410128000060057.14%770001.1200000011
2Ben MeyersMilwaukee Admirals (NSH)C/LW5246100712136515.38%110420.9101118000060051.35%11123001.1500000010
3Marc GatcombMilwaukee Admirals (NSH)RW532510097279911.11%210020.1801127000041050.00%652000.9900000110
4Adam BeckmanMilwaukee Admirals (NSH)LW51341204314627.14%19719.4501108000000028.57%731000.8200000000
5Matt KierstedMilwaukee Admirals (NSH)D5112-34091242125.00%610521.161011700003100%032000.3800000000
6Gavin HayesMilwaukee Admirals (NSH)LW/RW51121002711249.09%39519.1100005000010016.67%610000.4200000000
7Jan MysakMilwaukee Admirals (NSH)C/LW502214048105100%69719.5201117000000047.50%8012000.4100000000
8Jake ChristiansenMilwaukee Admirals (NSH)D5022-30091410230%812525.100111800005000%043000.3200000000
9Samuel BolducMilwaukee Admirals (NSH)D511252015101110.00%310320.701011800001000%012000.3900000000
10Tanner LaczynskiMilwaukee Admirals (NSH)C/RW5101-1207412958.33%27515.0500000000040066.67%311000.2700000000
11Nathan GaucherMilwaukee Admirals (NSH)C/RW5011-1001415350%26513.1700000000000039.13%2300000.3000000000
12Cale FleuryMilwaukee Admirals (NSH)D501150010810320%311623.220000800006000%022000.1700000000
13Isaak PhillipsMilwaukee Admirals (NSH)D5011-1007147020%78617.230000100005000%004000.2300000000
14Avery HayesMilwaukee Admirals (NSH)RW3000000242020%1248.030000100000000%01000000000000
15Ben HarpurMilwaukee Admirals (NSH)D5000-100690010%98517.200000000003000%00300000000000
16Riley DuranMilwaukee Admirals (NSH)C/LW/RW5000-120463220%16713.5300000000010050.00%20300000000000
17Ilya UsauMilwaukee Admirals (NSH)C5000000417110%1459.0300000000000045.45%112000000000000
18David EdstromMilwaukee Admirals (NSH)C5000000361030%1438.710000000000000%00000000000000
19Cole O'HaraMilwaukee Admirals (NSH)RW2000000220100%0189.3700000000000050.00%21000000000000
Statistiques d’équipe totales ou en moyenne90132235516011113016355697.98%59156517.403589820000512047.67%2583428000.4500000131
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
1Nikita TolopiloMilwaukee Admirals (NSH)21010.9491.781350047845100023100
2Simon ZajicekMilwaukee Admirals (NSH)31110.9342.3517900710659000032100
Statistiques d’équipe totales ou en moyenne52120.9402.10314001118410410055200


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 Salaire restantPlafond 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)LW252001-05-10CANNo194 Lbs6 ft2NoNoN/ANoNo12025-07-18FalseFalsePro & Farm775,000$221,429$0$0$No---------------------------
Avery HayesMilwaukee Admirals (NSH)RW232002-10-10USANo174 Lbs5 ft10NoNoTrade2025-01-10NoNo12025-01-10FalseFalsePro & Farm750,000$214,286$0$0$No---------------------------
Ben HarpurMilwaukee Admirals (NSH)D311995-01-12CANNo231 Lbs6 ft6NoNoTrade2024-10-15NoNo2FalseFalsePro & Farm787,500$225,000$0$0$No787,500$--------787,500$--------No--------
Ben MeyersMilwaukee Admirals (NSH)C/LW271998-11-15USANo194 Lbs5 ft11NoNoN/ANoNo52025-06-16FalseFalsePro & Farm775,000$221,429$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Cale FleuryMilwaukee Admirals (NSH)D271998-11-19CANNo214 Lbs6 ft1NoNoFree AgentNoNo32025-08-08FalseFalsePro & Farm890,000$254,286$0$0$No890,000$890,000$-------890,000$890,000$-------NoNo-------
Case McCarthyMilwaukee Admirals (NSH)D252001-01-09USANo198 Lbs6 ft1NoNoTrade2026-03-24NoNo22025-01-10FalseFalsePro & Farm750,000$214,286$0$0$No750,000$--------750,000$--------No--------
Cole O'HaraMilwaukee Admirals (NSH)RW232002-06-20CANYes187 Lbs6 ft0NoNoProspectNoNo32025-12-29FalseFalsePro & Farm860,000$245,714$0$0$No860,000$860,000$-------860,000$860,000$-------NoNo-------
David EdstromMilwaukee Admirals (NSH)C212005-02-18SWEYes185 Lbs6 ft3NoNoTrade2026-02-10NoNo32025-12-21FalseFalsePro & Farm887,000$253,429$0$0$No887,000$887,000$-------887,000$887,000$-------NoNo-------
David GoyetteMilwaukee Admirals (NSH)C222004-03-27CANYes174 Lbs5 ft11NoNoProspectNoNo12025-06-16FalseFalsePro & Farm891,667$254,762$0$0$No---------------------------
Gavin HayesMilwaukee Admirals (NSH)LW/RW222004-05-14USAYes176 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm896,667$256,191$0$0$No---------------------------
Ilya UsauMilwaukee Admirals (NSH)C242001-08-03BELNo189 Lbs6 ft0NoNoN/ANoNo22025-06-16FalseFalsePro & Farm897,500$256,429$0$0$No897,500$--------897,500$--------No--------
Isaak PhillipsMilwaukee Admirals (NSH)D242001-09-28CANNo194 Lbs6 ft3NoNoN/ANoNo22025-07-16FalseFalsePro & Farm812,500$232,143$0$0$No812,500$--------812,500$--------No--------
Jake ChristiansenMilwaukee Admirals (NSH)D261999-09-12CANNo197 Lbs6 ft0NoNoFree AgentNoNo12025-06-16FalseFalsePro & Farm975,000$278,571$0$0$No---------------------------
Jan MysakMilwaukee Admirals (NSH)C/LW232002-06-24CZEYes183 Lbs6 ft0NoNoN/ANoNo12025-07-18FalseFalsePro & Farm775,000$221,429$0$0$No---------------------------
Marc GatcombMilwaukee Admirals (NSH)RW261999-07-22USANo195 Lbs6 ft2NoNoTrade2024-09-24NoNo22024-09-24FalseFalsePro & Farm775,000$221,429$0$0$No775,000$--------775,000$--------No--------
Matt KierstedMilwaukee Admirals (NSH)D281998-04-14USANo181 Lbs6 ft0NoNoN/ANoNo4FalseFalsePro & Farm775,000$221,429$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Nathan GaucherMilwaukee Admirals (NSH)C/RW222003-11-06CANYes207 Lbs6 ft3NoNoTrade2024-12-13NoNo1FalseFalsePro & Farm886,666$253,333$0$0$No---------------------------
Nikita TolopiloMilwaukee Admirals (NSH)G262000-04-06BELNo229 Lbs6 ft6NoNoTrade2024-09-15NoNo52025-06-16FalseFalsePro & Farm775,000$221,429$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Riley DuranMilwaukee Admirals (NSH)C/LW/RW242002-01-25USAYes181 Lbs6 ft2NoNoProspectNoNo22024-09-22FalseFalsePro & Farm867,500$247,857$0$0$No867,500$--------867,500$--------No--------
Riley KidneyMilwaukee Admirals (NSH)C232003-03-25CANYes168 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm836,667$239,048$0$0$No---------------------------
Sam ColangeloMilwaukee Admirals (NSH)C/RW242001-12-26USAYes211 Lbs6 ft2NoNoTrade2024-12-13NoNo12025-08-02FalseFalsePro & Farm775,000$221,429$0$0$No---------------------------
Samuel BolducMilwaukee Admirals (NSH)D252000-12-09CANNo220 Lbs6 ft4NoNoTrade2024-12-05NoNo12025-07-02FalseFalsePro & Farm775,000$221,429$0$0$No---------------------------
Simon ZajicekMilwaukee Admirals (NSH)G242001-06-25CZEYes187 Lbs6 ft2NoNoProspectNoNo22026-02-15FalseFalsePro & Farm872,500$249,286$0$0$No872,500$--------872,500$--------No--------
Tanner LaczynskiMilwaukee Admirals (NSH)C/RW281997-06-01USANo190 Lbs6 ft1NoNoTrade2024-09-24NoNo22024-09-24FalseFalsePro & Farm775,000$221,429$0$0$No775,000$--------775,000$--------No--------
Thomas MilicMilwaukee Admirals (NSH)G232003-04-14CANYes179 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$214,286$0$0$No---------------------------
Tory DelloMilwaukee Admirals (NSH)D291997-02-14USANo187 Lbs6 ft1NoNoTrade2024-10-15NoNo22024-10-15FalseFalsePro & Farm775,000$221,429$0$0$No775,000$--------775,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.81193 Lbs6 ft12.00821,583$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam BeckmanBen MeyersSam Colangelo38023
2Gavin HayesJan MysakMarc Gatcomb37023
3Riley DuranNathan GaucherTanner Laczynski20023
4David EdstromIlya UsauCole O'Hara5023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake ChristiansenMatt Kiersted40032
2Cale FleurySamuel Bolduc35032
3Isaak PhillipsBen Harpur25032
4Matt KierstedJake Christiansen0050
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam BeckmanBen MeyersSam Colangelo55005
2Gavin HayesJan MysakMarc Gatcomb45005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake ChristiansenMatt Kiersted50023
2Cale FleurySamuel Bolduc50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ben MeyersSam Colangelo55050
2Tanner LaczynskiMarc Gatcomb45050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake ChristiansenMatt Kiersted55050
2Cale FleuryIsaak Phillips45050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sam Colangelo50050Jake ChristiansenMatt Kiersted50050
2Ben Meyers50050Cale FleurySamuel Bolduc50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ben MeyersSam Colangelo50023
2Jan MysakMarc Gatcomb50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake ChristiansenMatt Kiersted50023
2Cale FleurySamuel Bolduc50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam BeckmanBen MeyersSam ColangeloJake ChristiansenMatt Kiersted
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ben MeyersNathan GaucherSam ColangeloJake ChristiansenMatt Kiersted
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sam Colangelo, Ben Meyers, Marc GatcombTanner Laczynski, Gavin HayesRiley Duran
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Christiansen, Matt Kiersted, Cale FleuryIsaak PhillipsBen Harpur, Samuel Bolduc
Tirs de pénalité
Sam Colangelo, Marc Gatcomb, Jake Christiansen, Ben Meyers, Samuel Bolduc
Gardien
#1 : Nikita Tolopilo, #2 : Simon Zajicek


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
TotalDomicile Visiteur
# 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 RI
1Bridgeport Islanders52300000131123120000078-12110000063340.4001322350042611634647637184591611111327.27%8275.00%0459050.00%4310341.75%356553.85%10458117499345
Total52300000131123120000078-12110000063340.4001322350042611634647637184591611111327.27%8275.00%0459050.00%4310341.75%356553.85%10458117499345
_Since Last GM Reset52300000131123120000078-12110000063340.4001322350042611634647637184591611111327.27%8275.00%0459050.00%4310341.75%356553.85%10458117499345
_Vs Conference52300000131123120000078-12110000063340.4001322350042611634647637184591611111327.27%8275.00%0459050.00%4310341.75%356553.85%10458117499345

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
54OTL1132235163184591611100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
52300001311
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
312000078
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000063
Derniers 10 matchs
WLOTWOTL SOWSOL
111200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
11327.27%8275.00%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
46476374261
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
459050.00%4310341.75%356553.85%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10458117499345


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
25Bridgeport Islanders2Milwaukee Admirals 1LXSommaire du match
413Bridgeport Islanders3Milwaukee Admirals 4WXSommaire du match
621Milwaukee Admirals 1Bridgeport Islanders2LSommaire du match
829Milwaukee Admirals 5Bridgeport Islanders1WSommaire du match
1037Bridgeport Islanders3Milwaukee Admirals 2LXSommaire du match
1245Milwaukee Admirals -Bridgeport Islanders-
1453Bridgeport Islanders-Milwaukee Admirals -



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance5,9692,978
Assistance PCT99.48%99.27%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
40 2982 - 99.41% 125,947$377,842$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,136,118$ 2,136,118$ 1,000,000$0$
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$ 4 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