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Americans
GP: 80 | W: 39 | L: 32 | OTL: 9 | P: 87
GF: 320 | GA: 340 | PP%: 25.09% | PK%: 79.01%
DG: Francois Juteau | Morale : 38 | Moyenne d’équipe : 63

Centre de jeu
Americans
39-32-9, 87pts
5
FINAL
4 Gulls
36-33-11, 83pts
Team Stats
W3SéquenceL1
18-17-5Fiche domicile20-17-3
21-15-4Fiche domicile16-16-8
4-3-3Derniers 10 matchs5-5-0
4.00Buts par match 4.05
4.25Buts contre par match 4.24
25.09%Pourcentage en avantage numérique19.00%
79.01%Pourcentage en désavantage numérique74.38%
Americans
39-32-9, 87pts
6
FINAL
4 Comets
45-30-5, 95pts
Team Stats
W3SéquenceL1
18-17-5Fiche domicile25-11-4
21-15-4Fiche domicile20-19-1
4-3-3Derniers 10 matchs6-4-0
4.00Buts par match 4.01
4.25Buts contre par match 3.69
25.09%Pourcentage en avantage numérique15.97%
79.01%Pourcentage en désavantage numérique77.53%
Meneurs d'équipe
Buts
Ryan Fitzgerald
52
Passes
Ryan Fitzgerald
47
Points
Ryan Fitzgerald
99
Plus/Moins
Xavier Bouchard
15
Victoires
Connor Hellebyuk
37
Pourcentage d’arrêts
Connor Hellebyuk
0.88

Statistiques d’équipe
Buts pour
320
4.00 GFG
Tirs pour
2666
33.33 Avg
Pourcentage en avantage numérique
25.1%
73 GF
Début de zone offensive
36.6%
Buts contre
340
4.25 GAA
Tirs contre
2664
33.30 Avg
Pourcentage en désavantage numérique
79.0%%
72 GA
Début de la zone défensive
36.1%
Informations de l'équipe

Directeur généralFrancois Juteau
EntraîneurJoe Sacco
DivisionJohn-Ahearne
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,800
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure19
Limite contact 50 / 250
Espoirs0


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
1Justin BaileyX100.007634876882777473807385657166494440730241950,000$
2Adam Brooks (R)X100.007435816582676872737681566958484820700233800,000$
3Matt PuempelX100.007340837473727372706975587554523654690263750,000$
4Richard NejezchlebX100.006246786968746965747075646254523158680251750,000$
5Michael McCarronX100.007746737180608165707369546950503959670242600,000$
6Vladimir TkachevX100.006144797363736565606677667254543954670242700,000$
7Nathan NoelX100.006739766077746760737872566649533745660241750,000$
8Daniel Sprong (R)X100.005641797074726861635877477045464458640224600,000$
9Alex Schoenborn (R)X100.006850656574627365616771525346473651630232600,000$
10John Leonard (R)X100.005535676856757262708763415947455040630211500,000$
11Zachary Senyshyn (R)X100.004936747252606264656756537446464543600224500,000$
12Lauri Pajuniemi (R)X100.006241786260616063565363566444425925590201500,000$
13Christopher Paquette (R)X100.007129566871726446556165526947474821590212500,000$
14Peyton Krebs (R)X100.005530656854646863707262354340407315580182500,000$
15Felix Bibeau (R)X100.005446725965586454566656535545436321570202500,000$
16Dillon HeatheringtonX100.007224867370767972547665836472483825730241975,000$
17Jacob Larsson (R)X100.007223817871707177537963745856475245710221900,000$
18Matt GrzelcykX100.007426758169727674538059726267543532710251900,000$
19Spencer Stastney (R)X100.006735766559595967376747724941426158630191500,000$
20Samuel Bolduc (R)X100.007940685879774945386454564941436323620192500,000$
21Xavier Bouchard (R)X100.006733686364545049296037663242425741590191500,000$
22Dmitri Semykin (R)X100.006419745452525657326446654641425720580191500,000$
23Gianni Fairbrother (R)X100.006834585566675654306352583542415533580192500,000$
Rayé
1Ryan FitzgeraldX99.076943776970737277766673687154553720700252750,000$
2Anthony Romano (R)X100.005931634763545264665862406442426218550192500,000$
3Simon Holmstrom (R)X100.005432684867634863575258315040406520530182500,000$
4Austin Wong (R)X100.004832514458535743454842284941435720440192500,000$
5Devon TeowsX100.007747747471676774586860785860553834710251900,000$
6Daniel Bukac (R)X100.004841746049575644245838484445425720520202500,000$
MOYENNE D’ÉQUIPE99.97653673656766656257676257594947493563
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
1Connor Hellebyuk99.00717576727269687174817571553174720261850,000$
2Peyton Jones100.00626767606464665763666044454978620232500,000$
Rayé
MOYENNE D’ÉQUIPE99.5067717266686767646974685850407667
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joe Sacco61666562315563USA451350,000$


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
1Ryan FitzgeraldAmericans (Buf)C665247998380891402478014621.05%40141021.381319323618720261737354.12%18444329031.40120001145
2Justin BaileyAmericans (Buf)LW54354378614081922606912713.46%29125823.311015254115401162104052.72%4235831111.2424000732
3Michael McCarronAmericans (Buf)C80293463-7475121124176419716.48%23117214.663710151190000351148.69%8752923001.0701001134
4Vladimir TkachevAmericans (Buf)LW802831592495103942127513513.21%32123915.494591111101141276050.88%574416000.9501000243
5Matt PuempelAmericans (Buf)LW78302252-101009669158409518.99%17101513.0231495200041322051.52%332916001.0201000233
6Richard NejezchlebAmericans (Buf)RW80163652-472011193165581119.70%35148918.6251217222250001741348.25%1143745000.7012000025
7Adam BrooksAmericans (Buf)C34132740-10120593790305814.44%1760217.713111415880000671051.88%586159001.3302000200
8Dillon HeatheringtonAmericans (Buf)D6493039-321008513512243557.38%97172526.975712182000115246300%03464000.4500000120
9Jacob LarssonAmericans (Buf)D7793039-52807913115759535.73%97165221.464913232020006211100%14649000.4700000011
10Alex SchoenbornAmericans (Buf)RW74102131-1280725289232911.24%1574910.1300007000011147.06%172313000.8300000212
11Devon TeowsAmericans (Buf)D6432831-279159613010447422.88%98156424.4513491870002191100%02855000.4000000002
12Jonas BrodinSabresD2132427110024385726315.26%3653925.712810862000289000%02619001.0000000003
13Matt GrzelcykAmericans (Buf)D65027271395869210041470%70129619.95022131470114166000%02650000.4200000000
14Nathan NoelAmericans (Buf)C71111526-12180585290245212.22%871010.00123226000081151.87%3742011000.7311000210
15John LeonardAmericans (Buf)LW72111324-16400543411734749.40%1275410.480222190000331422.73%22237000.6400000002
16Daniel SprongAmericans (Buf)RW80111223-8180776485325912.94%10110413.813146124000001052.94%342412000.4200000010
17Spencer StastneyAmericans (Buf)D8011516-11240631015020362.00%65129416.180221990001139000%0643000.2500000000
18Xavier BouchardAmericans (Buf)D64099153803136191140%5267610.5700003000035000%0211000.2700000000
19Zachary SenyshynAmericans (Buf)RW66628-1160113143112913.95%154536.86000000000120133.33%1539000.3500000000
20Gianni FairbrotherAmericans (Buf)D590554280182610740%94327.3200003000029000%006000.2300000000
21Christian DvorakSabresC6134-50052016496.25%112420.751122170001241051.16%12933000.6401000001
22Samuel BolducAmericans (Buf)D5704412200372912850%2458510.2800002000010000%0218000.1400000000
23Christopher PaquetteAmericans (Buf)C45213-110011952340.00%31322.9400002000170048.84%4331000.4500000001
24Peyton KrebsAmericans (Buf)C44112140101296911.11%11633.72000020000580043.75%9612000.2400000000
25Dmitri SemykinAmericans (Buf)D390220120682220%91864.790000000002000%012000.2100000000
26Felix BibeauAmericans (Buf)LW55112-4195111082712.50%32294.17000000001180060.00%515000.1700000000
27Lauri PajuniemiAmericans (Buf)RW51011-100308120%1671.3200005000000014.29%710000.3000000000
Statistiques d’équipe totales ou en moyenne1626282484766-11568525149716592411796132111.70%8192263313.92581071652332055246442107321451.66%4675528549140.68515001302534
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
1Connor HellebyukAmericans (Buf)76372960.8803.9641646027522851200930.909117010213
2Peyton JonesAmericans (Buf)202330.8405.38669006037519521021070000
Statistiques d’équipe totales ou en moyenne96393290.8744.1648336033526601395114138080213


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 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 BrooksAmericans (Buf)C231996-01-01CANYes181 Lbs5 ft10NoNoTrade2025-03-01NoNo3FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Alex SchoenbornAmericans (Buf)RW231996-01-01USAYes205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------
Anthony RomanoAmericans (Buf)C192000-01-01CANYes185 Lbs5 ft11NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Austin WongAmericans (Buf)C192000-01-01CANYes198 Lbs5 ft10NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Christopher PaquetteAmericans (Buf)C211998-01-01CANYes209 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Connor HellebyukAmericans (Buf)G261993-01-01USANo185 Lbs6 ft4NoNoFree AgentNoNo12024-09-18FalseFalsePro & Farm850,000$0$0$No---------------------------
Daniel BukacAmericans (Buf)D201999-01-01CZEYes209 Lbs6 ft6NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Daniel SprongAmericans (Buf)RW221997-01-01NLDYes191 Lbs5 ft11NoNoFree AgentNoNo42024-09-18FalseFalsePro & Farm600,000$0$0$No600,000$600,000$600,000$------600,000$600,000$600,000$------NoNoNo------
Devon TeowsAmericans (Buf)D251994-01-01CANNo191 Lbs5 ft11NoNoTrade2024-10-11NoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Dillon HeatheringtonAmericans (Buf)D241995-01-01CANNo185 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm975,000$0$0$No---------------------------
Dmitri SemykinAmericans (Buf)D192000-01-01RUSYes220 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Felix BibeauAmericans (Buf)LW201999-01-01CANYes187 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Gianni FairbrotherAmericans (Buf)D192000-01-01CANYes205 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Jacob LarssonAmericans (Buf)D221997-01-01SWEYes190 Lbs6 ft2NoNoTrade2024-12-07NoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
John LeonardAmericans (Buf)LW211998-01-01USAYes196 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Justin BaileyAmericans (Buf)LW241995-01-01USANo185 Lbs6 ft0NoNoFree AgentNoNo12024-09-18FalseFalsePro & Farm950,000$0$0$No---------------------------
Lauri PajuniemiAmericans (Buf)RW201999-01-01FINYes202 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Matt GrzelcykAmericans (Buf)D251994-01-01USANo171 Lbs5 ft9NoNoFree AgentNoNo12024-09-18FalseFalsePro & Farm900,000$0$0$No---------------------------
Matt PuempelAmericans (Buf)LW261993-01-01CANNo190 Lbs6 ft0NoNoTrade2025-04-05NoNo32024-08-21FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Michael McCarronAmericans (Buf)C241995-01-01USANo185 Lbs6 ft5NoNoTrade2024-07-10NoNo2FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------
Nathan NoelAmericans (Buf)C241995-01-01CANNo209 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Peyton JonesAmericans (Buf)G231996-01-01USANo209 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------
Peyton KrebsAmericans (Buf)C182001-01-01CANYes185 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Richard NejezchlebAmericans (Buf)RW251994-01-01CZENo187 Lbs5 ft11NoNoFree AgentNoNo12024-09-18FalseFalsePro & Farm750,000$0$0$No---------------------------
Ryan FitzgeraldAmericans (Buf)C251994-01-01USANo185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------
Samuel BolducAmericans (Buf)D192000-01-01CANYes220 Lbs6 ft4NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Simon HolmstromAmericans (Buf)RW182001-01-01SWEYes216 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Spencer StastneyAmericans (Buf)D192000-01-01USAYes184 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Vladimir TkachevAmericans (Buf)LW241995-01-01RUSNo165 Lbs5 ft10NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------
Xavier BouchardAmericans (Buf)D192000-01-01CANYes198 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Zachary SenyshynAmericans (Buf)RW221997-01-01CANYes192 Lbs6 ft1NoNoFree AgentNoNo42024-09-18FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3121.87194 Lbs6 ft11.77637,903$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin BaileyAdam BrooksRichard Nejezchleb40122
2Matt PuempelMichael McCarronDaniel Sprong30122
3Vladimir TkachevNathan NoelAlex Schoenborn20122
4John LeonardChristopher PaquetteZachary Senyshyn10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dillon HeatheringtonMatt Grzelcyk40122
2Jacob LarssonSpencer Stastney30122
3Samuel BolducXavier Bouchard20122
4Gianni FairbrotherDmitri Semykin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin BaileyAdam BrooksRichard Nejezchleb60122
2Matt PuempelMichael McCarronDaniel Sprong40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dillon HeatheringtonMatt Grzelcyk60122
2Jacob LarssonSpencer Stastney40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Justin BaileyAdam Brooks60122
2Matt PuempelRichard Nejezchleb40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dillon HeatheringtonMatt Grzelcyk60122
2Jacob LarssonSpencer Stastney40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Justin Bailey60122Dillon HeatheringtonMatt Grzelcyk60122
2Adam Brooks40122Jacob LarssonSpencer Stastney40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Justin BaileyAdam Brooks60122
2Matt PuempelRichard Nejezchleb40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dillon HeatheringtonMatt Grzelcyk60122
2Jacob LarssonSpencer Stastney40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin BaileyAdam BrooksRichard NejezchlebDillon HeatheringtonMatt Grzelcyk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin BaileyAdam BrooksRichard NejezchlebDillon HeatheringtonMatt Grzelcyk
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Lauri Pajuniemi, Peyton Krebs, Felix BibeauLauri Pajuniemi, Peyton KrebsFelix Bibeau
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Bolduc, Xavier Bouchard, Gianni FairbrotherSamuel BolducXavier Bouchard, Gianni Fairbrother
Tirs de pénalité
Justin Bailey, Adam Brooks, Matt Puempel, Richard Nejezchleb, Vladimir Tkachev
Gardien
#1 : , #2 : Peyton Jones
Lignes d’attaque personnalisées en prolongation
Justin Bailey, Adam Brooks, Matt Puempel, Richard Nejezchleb, Vladimir Tkachev, Michael McCarron, Nathan Noel, Daniel Sprong, Alex Schoenborn, John Leonard
Lignes de défense personnalisées en prolongation
Dillon Heatherington, Matt Grzelcyk, Jacob Larsson, Spencer Stastney, Samuel Bolduc


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
1Admirals623010002427-3321000001513230201000914-560.50024436700101103108101968869528073418550781053139.68%32971.88%1937177552.79%904175151.63%709132253.63%166092517417591437698
2Barracuda4210100013103210010007522110000065160.75013243710101103108101478869528073410833329112216.67%16193.75%0937177552.79%904175151.63%709132253.63%166092517417591437698
3Bears20200000512-71010000027-51010000035-200.000591400101103108106688695280734752028362150.00%14378.57%0937177552.79%904175151.63%709132253.63%166092517417591437698
4Canucks201000106601010000034-11000001032120.500681400101103108106988695280734632224367228.57%12283.33%0937177552.79%904175151.63%709132253.63%166092517417591437698
5Checkers201001001014-41010000047-31000010067-110.2501018280010110310810688869528073472171240600.00%60100.00%0937177552.79%904175151.63%709132253.63%166092517417591437698
6Comets2110000089-11010000025-31100000064220.5008152300101103108107788695280734732218416350.00%9277.78%0937177552.79%904175151.63%709132253.63%166092517417591437698
7Condors300012001516-120000200911-21000100065140.667152540001011031081094886952807349940225412433.33%11281.82%0937177552.79%904175151.63%709132253.63%166092517417591437698
8Crunch2110000056-11010000013-21100000043120.500581300101103108106288695280734662810295120.00%5180.00%0937177552.79%904175151.63%709132253.63%166092517417591437698
9Eagles21100000880110000004221010000046-220.5008142200101103108106888695280734651812278450.00%60100.00%0937177552.79%904175151.63%709132253.63%166092517417591437698
10Firebirds32001000181441000100065122000000129361.0001828460010110310810112886952807341064140649444.44%20765.00%0937177552.79%904175151.63%709132253.63%166092517417591437698
11Griffins32000100161062100010012841100000042250.8331627430010110310810109886952807349536266213215.38%13192.31%0937177552.79%904175151.63%709132253.63%166092517417591437698
12Gulls412001001622-620100100811-321100000811-330.37516264200101103108101428869528073415064287810330.00%14471.43%0937177552.79%904175151.63%709132253.63%166092517417591437698
13Icehogs624000002028-8321000001412230300000616-1040.333203252001011031081017588695280734204566912129827.59%32681.25%0937177552.79%904175151.63%709132253.63%166092517417591437698
14Islander22000000945110000005141100000043141.0009152400101103108106288695280734632125418225.00%7357.14%0937177552.79%904175151.63%709132253.63%166092517417591437698
15Little Stars211000001293110000007251010000057-220.50012193110101103108106288695280734671320385360.00%10370.00%0937177552.79%904175151.63%709132253.63%166092517417591437698
16Marlies320001001091220000007521000010034-150.833101424001011031081084886952807341042324719333.33%120100.00%0937177552.79%904175151.63%709132253.63%166092517417591437698
17Moose3110010010100211000007611000010034-130.5001016260010110310810110886952807349632186111218.18%9277.78%0937177552.79%904175151.63%709132253.63%166092517417591437698
18Penguins21100000111101010000057-21100000064220.5001117280010110310810738869528073475271643800.00%7271.43%0937177552.79%904175151.63%709132253.63%166092517417591437698
19Phantoms413000001417-31010000045-1312000001012-220.2501425391010110310810132886952807341393422791417.14%11281.82%1937177552.79%904175151.63%709132253.63%166092517417591437698
20Punishers623000012029-930300000819-11320000011210250.417203252001011031081019888695280734196683612224729.17%17476.47%0937177552.79%904175151.63%709132253.63%166092517417591437698
21Rockets3300000014591100000031222000000114761.0001424380010110310810106886952807341083524589444.44%12283.33%0937177552.79%904175151.63%709132253.63%166092517417591437698
22Senators6310002028226311000101213-1320000101697100.833284472001011031081021188695280734199707613311436.36%381073.68%0937177552.79%904175151.63%709132253.63%166092517417591437698
23Thunderbirds2110000089-11010000046-21100000043120.50081220101011031081064886952807346014183513430.77%9277.78%0937177552.79%904175151.63%709132253.63%166092517417591437698
24Wolfpack30200100918-91000010056-120200000412-810.16791524001011031081069886952807349522216216318.75%9277.78%0937177552.79%904175151.63%709132253.63%166092517417591437698
25Wranglers302010001115-4201010007701010000048-420.33311182900101103108101108869528073410141244713323.08%12283.33%0937177552.79%904175151.63%709132253.63%166092517417591437698
Total80313205831320340-2040141703510161171-1040171502321159169-10870.5443205288484010110310810266688695280734266484772315742917325.09%3437279.01%2937177552.79%904175151.63%709132253.63%166092517417591437698
_Since Last GM Reset80313205831320340-2040141703510161171-1040171502321159169-10870.5443205288484010110310810266688695280734266484772315742917325.09%3437279.01%2937177552.79%904175151.63%709132253.63%166092517417591437698
_Vs Conference481917046201911910251170241010597823810022108694-8560.583191318509201011031081016168869528073415885144439601743922.41%2124180.66%2937177552.79%904175151.63%709132253.63%166092517417591437698
_Vs Division1878010207277-59530001041383925010103139-8200.55672119191001011031081058288695280734588176223359711521.13%1022575.49%1937177552.79%904175151.63%709132253.63%166092517417591437698

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8087W332052884826662664847723157440
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8031325831320340
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4014173510161171
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4017152321159169
Derniers 10 matchs
WLOTWOTL SOWSOL
430201
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2917325.09%3437279.01%2
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
8869528073410110310810
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
937177552.79%904175151.63%709132253.63%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
166092517417591437698


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
312Admirals3Americans4WSommaire du match
629Icehogs4Americans3LSommaire du match
940Americans5Punishers3WSommaire du match
1157Senators6Americans2LSommaire du match
1570Americans6Senators2WSommaire du match
1777Americans4Admirals3WXSommaire du match
1992Punishers7Americans3LSommaire du match
22110Senators3Americans5WSommaire du match
24123Americans1Icehogs4LSommaire du match
26132Icehogs5Americans6WSommaire du match
28142Americans4Phantoms5LSommaire du match
31161Barracuda3Americans4WSommaire du match
35182Wranglers3Americans2LSommaire du match
38196Americans4Icehogs6LSommaire du match
41210Crunch3Americans1LSommaire du match
43220Americans7Firebirds5WSommaire du match
47236Rockets1Americans3WSommaire du match
49247Americans3Marlies4LXSommaire du match
51261Little Stars2Americans7WSommaire du match
54276Americans4Wranglers8LSommaire du match
56284Americans4Thunderbirds3WSommaire du match
58292Americans1Icehogs6LSommaire du match
59298Thunderbirds6Americans4LSommaire du match
63317Checkers7Americans4LSommaire du match
66336Americans4Crunch3WSommaire du match
67344Comets5Americans2LSommaire du match
71366Senators4Americans5WXXSommaire du match
73376Americans3Canucks2WXXSommaire du match
76389Americans6Rockets1WSommaire du match
78397Firebirds5Americans6WXSommaire du match
80412Americans6Checkers7LXSommaire du match
82422Canucks4Americans3LSommaire du match
84432Americans5Firebirds4WSommaire du match
87448Americans4Phantoms3WSommaire du match
88454Barracuda2Americans3WXSommaire du match
92469Americans3Bears5LSommaire du match
93480Wranglers4Americans5WXSommaire du match
98502Wolfpack6Americans5LXSommaire du match
101514Americans5Little Stars7LSommaire du match
104528Icehogs3Americans5WSommaire du match
106537Americans2Phantoms4LSommaire du match
109555Islander1Americans5WSommaire du match
111569Americans4Islander3WSommaire du match
114580Moose1Americans3WSommaire du match
118603Marlies2Americans3WSommaire du match
122625Eagles2Americans4WSommaire du match
127650Penguins7Americans5LSommaire du match
129664Americans3Moose4LXSommaire du match
131676Phantoms5Americans4LSommaire du match
135700Americans5Rockets3WSommaire du match
136704Admirals3Americans5WSommaire du match
139725Americans2Barracuda4LSommaire du match
140729Gulls6Americans5LXSommaire du match
144754Americans2Wolfpack7LSommaire du match
145756Gulls5Americans3LSommaire du match
148777Americans2Wolfpack5LSommaire du match
149781Moose5Americans4LSommaire du match
153803Americans4Barracuda1WSommaire du match
154807Bears7Americans2LSommaire du match
157823Americans6Condors5WXSommaire du match
160833Marlies3Americans4WSommaire du match
164859Griffins7Americans6LXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166870Americans5Senators4WXXSommaire du match
170885Punishers7Americans3LSommaire du match
174910Punishers5Americans2LSommaire du match
176921Americans4Griffins2WSommaire du match
178931Americans2Admirals4LSommaire du match
179937Griffins1Americans6WSommaire du match
182955Americans6Penguins4WSommaire du match
184963Admirals7Americans6LSommaire du match
185969Americans5Senators3WSommaire du match
188983Americans3Admirals7LSommaire du match
189989Condors5Americans4LXSommaire du match
190991Americans4Punishers5LXXSommaire du match
1941011Americans3Gulls7LSommaire du match
1951018Condors6Americans5LXSommaire du match
1971026Americans4Eagles6LSommaire du match
1981028Americans3Punishers2WSommaire du match
2001037Americans5Gulls4WSommaire du match
2011040Americans6Comets4WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance74,53437,485
Assistance PCT93.17%93.71%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2800 - 93.35% 176,315$7,052,617$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,380,331$ 1,977,500$ 1,977,500$ 350,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,790$ 2,023,688$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 11,522$ 0$




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