Connexion

Americans
GP: 44 | W: 20 | L: 22 | OTL: 2 | P: 42
GF: 99 | GA: 115 | PP%: 20.30% | PK%: 79.76%
DG: Yannick Caron | Morale : 40 | Moyenne d’équipe : 57
Prochains matchs #548 vs Silver Knights
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Centre de jeu
Americans
20-22-2, 42pts
3
FINAL
4 Condors
16-25-2, 34pts
Team Stats
L3SéquenceW1
12-11-0Fiche domicile8-14-1
8-11-2Fiche domicile8-11-1
5-4-1Derniers 10 matchs4-6-0
2.25Buts par match 2.63
2.61Buts contre par match 3.28
20.30%Pourcentage en avantage numérique19.29%
79.76%Pourcentage en désavantage numérique80.63%
Gulls
23-18-4, 50pts
3
FINAL
2 Americans
20-22-2, 42pts
Team Stats
W1SéquenceL3
15-6-1Fiche domicile12-11-0
8-12-3Fiche domicile8-11-2
6-4-0Derniers 10 matchs5-4-1
2.51Buts par match 2.25
2.47Buts contre par match 2.61
25.00%Pourcentage en avantage numérique20.30%
82.31%Pourcentage en désavantage numérique79.76%
Americans
20-22-2, 42pts
2025-03-16
Silver Knights
23-19-4, 50pts
Statistiques d’équipe
L3SéquenceW2
12-11-0Fiche domicile8-11-3
8-11-2Fiche visiteur15-8-1
5-4-110 derniers matchs4-4-2
2.25Buts par match 2.37
2.61Buts contre par match 2.37
20.30%Pourcentage en avantage numérique22.58%
79.76%Pourcentage en désavantage numérique82.24%
Wolves
19-25-1, 39pts
2025-03-17
Americans
20-22-2, 42pts
Statistiques d’équipe
L3SéquenceL3
10-12-0Fiche domicile12-11-0
9-13-1Fiche visiteur8-11-2
4-6-010 derniers matchs5-4-1
2.89Buts par match 2.25
3.20Buts contre par match 2.25
19.74%Pourcentage en avantage numérique20.30%
75.00%Pourcentage en désavantage numérique79.76%
Comets
21-20-4, 46pts
2025-03-19
Americans
20-22-2, 42pts
Statistiques d’équipe
L1SéquenceL3
8-11-4Fiche domicile12-11-0
13-9-0Fiche visiteur8-11-2
4-5-110 derniers matchs5-4-1
3.13Buts par match 2.25
3.16Buts contre par match 2.25
22.91%Pourcentage en avantage numérique20.30%
79.86%Pourcentage en désavantage numérique79.76%
Meneurs d'équipe
Ryan ReavesButs
Ryan Reaves
17
Dan RenoufPasses
Dan Renouf
20
Points
Jacob Moverare
29
Plus/Moins
Jacob Moverare
8
Victoires
Joel Blomqvist
14
Pourcentage d’arrêts
Joel Blomqvist
0.906

Statistiques d’équipe
Buts pour
99
2.25 GFG
Tirs pour
1135
25.80 Avg
Pourcentage en avantage numérique
20.3%
27 GF
Début de zone offensive
39.1%
Buts contre
115
2.61 GAA
Tirs contre
1214
27.59 Avg
Pourcentage en désavantage numérique
79.8%%
34 GA
Début de la zone défensive
42.3%
Informations de l'équipe

Directeur généralYannick Caron
EntraîneurAlex Burrows
DivisionNorth Division
ConférenceConférence EST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro30
Équipe Mineure21
Limite contact 51 / 70
Espoirs21


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
1Matt Martin0X100.008575707078788270506464705086800406903611,500,000$
2Ryan Reaves0X100.009180646783768968456264666689790406903911,350,000$
3Rourke Chartier0X98.00654580737982766878616268687565040680292725,000$
4Andrew Agozzino0XX100.00534467715873736765666361677063040650351775,000$
5Landon Slaggert (R)0XX100.006440757577826067406361656851500406502321,350,000$
6Sheldon Dries0X99.00544465725871706663626460676558040640311762,500$
7Garrett Pilon0X100.00644174686568666545646066645450040630271775,000$
8Aatu Raty0X100.00634174696565636563656061655050040630232902,500$
9Jack Finley (R)0X100.00684269627462606261615760605050040610231863,333$
10Ben King (R)0XX100.00634272646864626260605855615050040600231775,000$
11Vasily Podkolzin0XX100.006041726564646264435858576251500406002411,775,000$
12Matthew Maggio (R)0X100.00604272656363616343565954625050040590233950,000$
13Matt Grzelcyk0X100.006755727672878672406964767180700407203223,687,500$
14Jacob Moverare0X100.00594082728679706740606269676050040680272762,500$
15Dan Renouf0X100.00675059656472706240605570616558040640311775,000$
16Jack Rathbone0X100.00624272726167656540605969655350040640262850,000$
17Christian Wolanin0X100.00574271666370686240635567616050040630302775,000$
Rayé
1Tyler Motte0XX98.007840797576838671756366757180700407103111,225,000$
2Danila Klimovich0X100.00664270646760575640515160575050040570232894,167$
3Tyler Boucher (R)0XX100.006443666067605756405151535650500405502331,596,667$
4J.C. Beaudin0XX100.0011111111111111104060261874,125$
5Josh Archibald0XX100.0011111111111111104060331900,000$
6Robert Bortuzzo0X94.00655570708484836740606074668878040700361950,000$
7Dmitri Samorukov0X100.00624270676467656240555567615350040620262775,000$
8Lassi Thomson0X100.005555655963656359405957585457540405902411,288,333$
9Josh Brook0X100.0011111111111111104060252750,000$
MOYENNE D’ÉQUIPE99.5858426360626361574454535756555104057
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
1Joel Blomqvist (R)099.0075636965717375747572595050040700243925,000$
2Nikita Tolopilo0100.0071656975717072697070595250040690252900,000$
Rayé
1Louis Domingue0100.0071717267707072697071686558040690341725,000$
2Michael DiPietro0100.00111111111111104040262840,000$
MOYENNE D’ÉQUIPE99.755550535253545553545447424004053
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alex Burrows7468706856511CAN441125,000$


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
1Jacob MoverareAmericans (BUF)D441118298120356070235015.71%5898022.28481235940000117000%000000.5900000032
2Ryan ReavesAmericans (BUF)RW43171128-9671514657118276014.41%1083619.46461020930004585142.15%12100000.6722120331
3Dan RenoufAmericans (BUF)D446202655001365150233512.00%4799122.52461024940000114110%000000.5200000214
4Matt MartinAmericans (BUF)RW448172524201328010431827.69%1190220.51336251080000500052.38%18900000.5513000151
5Matt GrzelcykAmericans (BUF)D4441721-196010120877624635.26%71112725.63347351110001101100%000000.3700101022
6Andrew AgozzinoAmericans (BUF)C/LW4351520-52018887621766.58%477317.9826811920003950048.46%61700000.5200000011
7Tyler MotteAmericans (BUF)LW/RW309101946037799928839.09%669923.3202212740002960157.36%33300000.5401000212
8Rourke ChartierAmericans (BUF)C3951217212036878017756.25%779220.32246169500001022057.82%82500000.4312000030
9Robert BortuzzoAmericans (BUF)D4431316-1136096636926534.35%63108324.64268341170000127000%000000.3000000301
10Sheldon DriesAmericans (BUF)C333111414015475714325.26%046614.131459430001142051.95%43500000.6000000001
11Vasily PodkolzinAmericans (BUF)LW/RW446511-320233257183510.53%059313.480003250000222054.05%3700000.3700000111
12Landon SlaggertAmericans (BUF)LW/RW367411-510037568626628.14%356515.7221312560003491045.19%10400000.3911000102
13Aatu RatyAmericans (BUF)C44538-98036525714468.77%553012.050001140000131144.60%42600000.3000000001
14Ben KingAmericans (BUF)C/RW44437-112044414411359.09%465414.870004290000181051.60%21900000.2100000110
15Jack RathboneAmericans (BUF)D44156-52806538268173.85%3664314.6300023000062000%000000.1900000101
16Christian WolaninAmericans (BUF)D29134360151095511.11%102398.25000215000029100%000000.3300000000
17Dmitri SamorukovAmericans (BUF)D15112-340251272314.29%1223115.4100001000013000%000000.1700000001
18Garrett PilonAmericans (BUF)C25022-1401012162190%01315.25000030001210043.55%6200000.3000000000
19Jack FinleyAmericans (BUF)C40011-91602822244150%03809.52000118000040053.16%7900000.0500000000
20Matthew MaggioAmericans (BUF)RW280110004310220%0973.470000000000000%300000.2100000000
21J.C. BeaudinAmericans (BUF)C/RW5000-200000000%0153.010000000002000%40000000000000
22Josh ArchibaldAmericans (BUF)LW/RW15000-300000000%016511.0100002000010000%110000000000000
23Danila KlimovichAmericans (BUF)RW15000-120410010%0402.7100001000040014.29%70000000000000
Statistiques d’équipe totales ou en moyenne79296172268-6138325106297811353268498.46%3471294016.34275077246109800015113217451.35%347200000.4159221152121
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
1Joel BlomqvistAmericans (BUF)30141410.9062.48173943727670100.85772915311
2Louis DomingueAmericans (BUF)146800.9042.8382701394080000.6673141300
3Nikita TolopiloAmericans (BUF)20010.8972.67900043900000128000
Statistiques d’équipe totales ou en moyenne46202220.9052.602657441151214010104444611


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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
Aatu RatyAmericans (BUF)C232001-11-14FINNo190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm902,500$0$0$No902,500$--------902,500$--------No--------
Andrew AgozzinoAmericans (BUF)C/LW351990-01-03CANNo181 Lbs5 ft10NoNoAssign ManuallyYesYes12024-12-15FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Ben KingAmericans (BUF)C/RW232001-05-15CANYes205 Lbs6 ft3NoNoProspectNoNo12024-11-26FalseFalsePro & Farm775,000$0$0$No---------------------------
Christian WolaninAmericans (BUF)D301994-03-17CANNo190 Lbs6 ft2NoNoAssign ManuallyYesYes22024-11-28FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Dan RenoufAmericans (BUF)D311993-06-01CANNo198 Lbs6 ft3NoNoAssign ManuallyYesYes12024-11-26FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Danila KlimovichAmericans (BUF)RW232002-01-09BELNo208 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm894,167$0$0$No894,167$--------894,167$--------No--------
Dmitri SamorukovAmericans (BUF)D261998-06-16RUSNo188 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Garrett PilonAmericans (BUF)C271997-04-13USANo206 Lbs6 ft0NoNoAssign ManuallyNoNo12024-12-15FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
J.C. BeaudinAmericans (BUF)C/RW261998-03-25CANNo196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm874,125$0$0$No---------------------------Lien / Lien NHL
Jack FinleyAmericans (BUF)C232001-09-02CANYes218 Lbs6 ft6NoNoProspectNoNo12024-08-25FalseFalsePro & Farm863,333$0$0$No---------------------------
Jack RathboneAmericans (BUF)D261998-05-20USANo182 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------
Jacob MoverareAmericans (BUF)D271997-08-31SWENo210 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------762,500$--------No--------
Joel BlomqvistAmericans (BUF)G242001-01-10FINYes187 Lbs6 ft2NoNoProspectNoNo32024-11-26FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------
Josh ArchibaldAmericans (BUF)LW/RW331991-10-06CANNo176 Lbs5 ft10NoNoN/AYesYes1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien NHL
Josh BrookAmericans (BUF)D251999-06-17CANNo194 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Landon SlaggertAmericans (BUF)LW/RW232001-06-25USAYes180 Lbs6 ft0NoNoProspectNoNo22024-11-26FalseFalsePro & Farm1,350,000$0$0$No1,350,000$--------1,350,000$--------No--------
Lassi ThomsonAmericans (BUF)D242000-09-24FINNo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,288,333$0$0$No---------------------------Lien
Louis DomingueAmericans (BUF)G341991-03-06CANNo210 Lbs6 ft3NoNoAssign ManuallyYesYes12024-11-24FalseFalsePro & Farm725,000$0$0$No---------------------------Lien NHL
Matt GrzelcykAmericans (BUF)D321993-01-05USANo180 Lbs5 ft10NoNoTrade2024-11-11YesYes2FalseFalsePro & Farm3,687,500$0$0$No3,687,500$--------3,687,500$--------No--------Lien NHL
Matt MartinAmericans (BUF)RW361988-05-08CANNo215 Lbs6 ft3NoNoAssign ManuallyYesYes12024-11-28FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien NHL
Matthew MaggioAmericans (BUF)RW232001-11-25CANYes187 Lbs5 ft11NoNoProspectNoNo32024-11-26FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Michael DiPietroAmericans (BUF)G261998-06-09CANNo200 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm840,000$0$0$No840,000$--------840,000$--------No--------Lien NHL
Nikita TolopiloAmericans (BUF)G251999-04-06BELNo229 Lbs6 ft6NoNoAssign ManuallyNoNo22024-11-26FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Robert Bortuzzo (sur la masse salariale)Americans (BUF)D361988-03-18CANNo216 Lbs6 ft4NoNoAssign ManuallyYesYes12024-11-28FalseFalsePro & Farm950,000$0$0$No---------------------------Lien NHL
Rourke ChartierAmericans (BUF)C291995-04-03CANNo201 Lbs6 ft0NoNoAssign ManuallyNoNo22024-11-24FalseFalsePro & Farm725,000$0$0$No725,000$--------725,000$--------No--------
Ryan ReavesAmericans (BUF)RW391986-01-20CANNo226 Lbs6 ft2NoNoAssign ManuallyYesYes12024-11-28FalseFalsePro & Farm1,350,000$0$0$No---------------------------Lien NHL
Sheldon DriesAmericans (BUF)C311993-04-23USANo180 Lbs5 ft9NoNoN/AYesYes1FalseFalsePro & Farm762,500$0$0$No---------------------------Lien NHL
Tyler BoucherAmericans (BUF)LW/RW232002-01-16USAYes205 Lbs6 ft2NoNoProspectNoNo32024-11-26FalseFalsePro & Farm1,596,667$0$0$No1,596,667$1,596,667$-------1,596,667$1,596,667$-------NoNo-------
Tyler MotteAmericans (BUF)LW/RW311994-03-10USANo194 Lbs5 ft10NoNoN/AYesYes1FalseFalsePro & Farm1,225,000$0$0$No---------------------------Lien NHL
Vasily PodkolzinAmericans (BUF)LW/RW242000-06-24RUSNo191 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,775,000$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3027.93198 Lbs6 ft11.601,066,554$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt MartinSheldon DriesRyan Reaves35122
2Landon SlaggertRourke ChartierAndrew Agozzino30122
3Garrett PilonSheldon DriesBen King22023
4Vasily PodkolzinAatu RatyJack Finley13113
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt Grzelcyk40122
2Jacob MoverareDan Renouf30122
3Jack Rathbone20122
4Jacob Moverare10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan ReavesSheldon DriesMatt Martin60122
2Landon SlaggertRourke ChartierAndrew Agozzino40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt Grzelcyk60122
2Jacob MoverareDan Renouf40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rourke ChartierRyan Reaves60122
2Matt MartinGarrett Pilon40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack Rathbone60122
2Jacob MoverareDan Renouf40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Reaves60122Jack Rathbone60122
2Jack Finley40122Jacob MoverareDan Renouf40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matt MartinRyan Reaves60122
2Sheldon DriesAatu Raty40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt Grzelcyk60122
2Jacob MoverareDan Renouf40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt MartinRourke ChartierRyan ReavesMatt Grzelcyk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt MartinRourke ChartierRyan ReavesMatt Grzelcyk
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Vasily Podkolzin, Ryan Reaves, Matt MartinRyan Reaves, Rourke ChartierBen King
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dan Renouf, Jack Rathbone, Dan RenoufDan Renouf, Jack Rathbone
Tirs de pénalité
Vasily Podkolzin, Landon Slaggert, Matt Martin, Ryan Reaves, Rourke Chartier
Gardien
#1 : Joel Blomqvist, #2 : Nikita Tolopilo
Lignes d’attaque personnalisées en prolongation
Ben King, Vasily Podkolzin, Aatu Raty, Ryan Reaves, Matt Martin, Rourke Chartier, Rourke Chartier, Andrew Agozzino, Landon Slaggert, Sheldon Dries, Jack Finley
Lignes de défense personnalisées en prolongation
Matt Grzelcyk, , Jacob Moverare, Dan Renouf, Jack Rathbone


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
1Admirals2020000015-41010000012-11010000003-300.000123002739296383213984032242912492150.00%5180.00%0665134349.52%789145354.30%32964251.25%10296971054336578285
2Bruins2110000056-1110000003211010000024-220.50059140027392964732139840322561727517114.29%11281.82%0665134349.52%789145354.30%32964251.25%10296971054336578285
3Checkers41200010710-3210000105322020000027-540.50071017012739296953213984032211437419918211.11%17570.59%0665134349.52%789145354.30%32964251.25%10296971054336578285
4Condors21100000761000000000002110000076120.50071118002739296563213984032260172462300.00%12283.33%0665134349.52%789145354.30%32964251.25%10296971054336578285
5Crunch2020000036-32020000036-30000000000000.000369002739296503213984032254201861600.00%9366.67%0665134349.52%789145354.30%32964251.25%10296971054336578285
6Eagles11000000211000000000001100000021121.000235002739296223213984032229612244125.00%60100.00%0665134349.52%789145354.30%32964251.25%10296971054336578285
7Firebirds2010010058-31010000035-21000010023-110.250581300273929656321398403225418104010220.00%5260.00%0665134349.52%789145354.30%32964251.25%10296971054336578285
8Griffins20100010660100000105411010000012-120.500610160027392965232139840322461210377342.86%50100.00%0665134349.52%789145354.30%32964251.25%10296971054336578285
9Gulls1010000023-11010000023-10000000000000.00024600273929631321398403221651024000%5260.00%0665134349.52%789145354.30%32964251.25%10296971054336578285
10IceHogs21001000844210010008440000000000041.000816240027392966632139840322671925476116.67%9188.89%0665134349.52%789145354.30%32964251.25%10296971054336578285
11Manitoba Moose33000000936110000002022200000073461.0009172601273929674321398403229730246610220.00%11190.91%0665134349.52%789145354.30%32964251.25%10296971054336578285
12Marlies32100000770110000001012110000067-140.667712190127392966532139840322933025827342.86%9188.89%0665134349.52%789145354.30%32964251.25%10296971054336578285
13Monsters22000000826110000003031100000052341.000814220127392967332139840322491012498450.00%50100.00%0665134349.52%789145354.30%32964251.25%10296971054336578285
14Penguins20100010440201000104400000000000020.5004370027392965532139840322651022546116.67%11190.91%0665134349.52%789145354.30%32964251.25%10296971054336578285
15Reign3120000069-31010000023-12110000046-220.3336111700273929681321398403228026166812216.67%7185.71%0665134349.52%789145354.30%32964251.25%10296971054336578285
16Rocket40400000415-112020000028-62020000027-500.000481200273929690321398403221102724891000.00%11554.55%0665134349.52%789145354.30%32964251.25%10296971054336578285
17Senators21000100761110000005321000010023-130.750713200027392965932139840322451520435120.00%7185.71%0665134349.52%789145354.30%32964251.25%10296971054336578285
18Stars1010000003-31010000003-30000000000000.000000002739296223213984032234121426200.00%7185.71%0665134349.52%789145354.30%32964251.25%10296971054336578285
19Wolf Pack3120000038-51010000003-32110000035-220.333369002739296773213984032270183072500.00%14471.43%0665134349.52%789145354.30%32964251.25%10296971054336578285
20Wolves11000000532110000005320000000000021.0005914002739296263213984032233911195360.00%2150.00%0665134349.52%789145354.30%32964251.25%10296971054336578285
Total4416220123099115-1623811010305456-221811002004559-14420.47799172271042739296113532139840322121434738710621332720.30%1683479.76%0665134349.52%789145354.30%32964251.25%10296971054336578285
_Since Last GM Reset4416220123099115-1623811010305456-221811002004559-14420.47799172271042739296113532139840322121434738710621332720.30%1683479.76%0665134349.52%789145354.30%32964251.25%10296971054336578285
_Vs Conference25912011205463-9156601020353321036001001930-11250.500549414803273929662132139840322716203228598711419.72%942078.72%0665134349.52%789145354.30%32964251.25%10296971054336578285
_Vs Division1228010102135-14824010101721-440400000414-1080.333213859012739296304321398403223411001142853638.33%491471.43%0665134349.52%789145354.30%32964251.25%10296971054336578285

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4442L39917227111351214347387106204
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
441622123099115
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2381110305456
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2181102004559
Derniers 10 matchs
WLOTWOTL SOWSOL
441100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1332720.30%1683479.76%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
321398403222739296
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
665134349.52%789145354.30%32964251.25%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10296971054336578285


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
4 - 2024-12-2315Stars3Americans0LSommaire du match
5 - 2024-12-2424Firebirds5Americans3LSommaire du match
7 - 2024-12-2636Americans0Checkers3LSommaire du match
9 - 2024-12-2848Americans2Checkers4LSommaire du match
11 - 2024-12-3058Americans2Firebirds3LXSommaire du match
13 - 2025-01-0171Checkers0Americans1WXXSommaire du match
15 - 2025-01-0384Penguins2Americans3WXXSommaire du match
17 - 2025-01-0595Americans2Marlies5LSommaire du match
19 - 2025-01-07108Marlies0Americans1WSommaire du match
21 - 2025-01-09120Americans1Reign4LSommaire du match
23 - 2025-01-11130Checkers3Americans4WSommaire du match
25 - 2025-01-13143Americans3Reign2WSommaire du match
27 - 2025-01-15155Penguins2Americans1LSommaire du match
29 - 2025-01-17167Reign3Americans2LSommaire du match
34 - 2025-01-22193Admirals2Americans1LSommaire du match
35 - 2025-01-23208Bruins2Americans3WSommaire du match
37 - 2025-01-25216Americans4Manitoba Moose1WSommaire du match
39 - 2025-01-27227Americans2Bruins4LSommaire du match
41 - 2025-01-29242Griffins4Americans5WXXSommaire du match
43 - 2025-01-31253Americans3Manitoba Moose2WSommaire du match
45 - 2025-02-02265Americans0Admirals3LSommaire du match
47 - 2025-02-04275Senators3Americans5WSommaire du match
49 - 2025-02-06289Crunch2Americans1LSommaire du match
51 - 2025-02-08303Americans1Rocket4LSommaire du match
52 - 2025-02-09312Rocket3Americans2LSommaire du match
54 - 2025-02-11325Americans1Griffins2LSommaire du match
55 - 2025-02-12337Wolf Pack3Americans0LSommaire du match
57 - 2025-02-14348Americans1Rocket3LSommaire du match
59 - 2025-02-16361Rocket5Americans0LSommaire du match
61 - 2025-02-18370Americans4Condors2WSommaire du match
63 - 2025-02-20385Manitoba Moose0Americans2WSommaire du match
65 - 2025-02-22396Americans3Wolf Pack2WSommaire du match
66 - 2025-02-23408Monsters0Americans3WSommaire du match
68 - 2025-02-25417Americans2Eagles1WSommaire du match
70 - 2025-02-27431Americans5Monsters2WSommaire du match
72 - 2025-03-01443Crunch4Americans2LSommaire du match
74 - 2025-03-03457Wolves3Americans5WSommaire du match
75 - 2025-03-04466Americans2Senators3LXSommaire du match
77 - 2025-03-06478IceHogs1Americans4WSommaire du match
79 - 2025-03-08490Americans4Marlies2WSommaire du match
80 - 2025-03-09502IceHogs3Americans4WXSommaire du match
82 - 2025-03-11515Americans0Wolf Pack3LSommaire du match
84 - 2025-03-13529Americans3Condors4LSommaire du match
85 - 2025-03-14533Gulls3Americans2LSommaire du match
87 - 2025-03-16548Americans-Silver Knights-
88 - 2025-03-17558Wolves-Americans-
90 - 2025-03-19574Comets-Americans-
92 - 2025-03-21583Americans-Wranglers-
93 - 2025-03-22598Wranglers-Americans-
95 - 2025-03-24607Americans-Comets-
97 - 2025-03-26623Americans-Bruins-
98 - 2025-03-27629Stars-Americans-
100 - 2025-03-29645Eagles-Americans-
102 - 2025-03-31660Americans-Wolves-
104 - 2025-04-02674Gulls-Americans-
106 - 2025-04-04692IceHogs-Americans-
107 - 2025-04-05698Americans-Penguins-
109 - 2025-04-07705Americans-Comets-
111 - 2025-04-09722Admirals-Americans-
112 - 2025-04-10727Americans-Wranglers-
113 - 2025-04-11744Marlies-Americans-
116 - 2025-04-14758Americans-Gulls-
117 - 2025-04-15769Gulls-Americans-
119 - 2025-04-17783Americans-Eagles-
120 - 2025-04-18793Stars-Americans-
121 - 2025-04-19805Americans-Griffins-
123 - 2025-04-21812Americans-Gulls-
124 - 2025-04-22823Rocket-Americans-
127 - 2025-04-25841Americans-Stars-
128 - 2025-04-26848Senators-Americans-
130 - 2025-04-28864Americans-Crunch-
131 - 2025-04-29870Silver Knights-Americans-
133 - 2025-05-01889Checkers-Americans-
134 - 2025-05-02893Americans-Firebirds-
136 - 2025-05-04913Silver Knights-Americans-
137 - 2025-05-05917Americans-Firebirds-
140 - 2025-05-08937Americans-IceHogs-
141 - 2025-05-09942Admirals-Americans-
143 - 2025-05-11961Condors-Americans-
144 - 2025-05-12962Americans-IceHogs-
146 - 2025-05-14975Americans-Monsters-
147 - 2025-05-15983Americans-Stars-



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
18 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 31,996,624$ 31,996,624$ 125,000$0$
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$ 63 217,038$ 13,673,394$




Americans 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

Americans 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

Americans 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

Americans 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

Americans 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