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Americans
GP: 1 | W: 1 | L: 0 | OTL: 0 | P: 2
GF: 6 | GA: 5 | PP%: 50.00% | PK%: 66.67%
DG: Daniel | Morale : 99 | Moyenne d’équipe : N/A
Prochains matchs #25 vs Phantoms

Centre de jeu
Sens
0-1-1, 1pts
5
FINAL
6 Americans
1-0-0, 2pts
Team Stats
SOL1SéquenceW1
0-1-0Fiche domicile1-0-0
0-0-1Fiche domicile0-0-0
0-1-1Derniers 10 matchs1-0-0
3.50Buts par match 6.00
4.50Buts contre par match 5.00
42.86%Pourcentage en avantage numérique50.00%
66.67%Pourcentage en désavantage numérique66.67%
Americans
1-0-0, 2pts
Jour 3
Phantoms
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
1-0-010 derniers matchs0-1-0
6.00Buts par match 5.00
5.00Buts contre par match 5.00
50.00%Pourcentage en avantage numérique0.00%
66.67%Pourcentage en désavantage numérique20.00%
Wolves
1-0-0, 2pts
Jour 6
Americans
1-0-0, 2pts
Statistiques d’équipe
W1SéquenceW1
1-0-0Fiche domicile1-0-0
0-0-0Fiche visiteur0-0-0
1-0-010 derniers matchs1-0-0
6.00Buts par match 6.00
5.00Buts contre par match 6.00
80.00%Pourcentage en avantage numérique50.00%
100.00%Pourcentage en désavantage numérique66.67%
Norsemen
1-0-0, 2pts
Jour 8
Americans
1-0-0, 2pts
Statistiques d’équipe
W1SéquenceW1
0-0-0Fiche domicile1-0-0
1-0-0Fiche visiteur0-0-0
1-0-010 derniers matchs1-0-0
3.00Buts par match 6.00
2.00Buts contre par match 6.00
16.67%Pourcentage en avantage numérique50.00%
0.00%Pourcentage en désavantage numérique66.67%
Meneurs d'équipe
Buts
Zach Bogosian
1
Passes
Zach Bogosian
2
Points
Zach Bogosian
3
Plus/Moins
Connor Mackey
1
Victoires
Talyn Boyko
1
Pourcentage d’arrêts
Talyn Boyko
0.875

Statistiques d’équipe
Buts pour
6
6.00 GFG
Tirs pour
40
40.00 Avg
Pourcentage en avantage numérique
50.0%
3 GF
Début de zone offensive
33.3%
Buts contre
5
5.00 GAA
Tirs contre
40
40.00 Avg
Pourcentage en désavantage numérique
66.7%%
2 GA
Début de la zone défensive
38.9%
Informations de l'équipe

Directeur généralDaniel
EntraîneurGeordie Kinnear
DivisionNorth Division
ConférenceEastern Conference
CapitaineZach Bogosian
Assistant #1Travis Boyd
Assistant #2Ashton Sautner


Informations de l’aréna

Capacité8,500
Assistance8,500
Billets de saison850


Informations de la formation

Équipe Pro27
Équipe Mineure21
Limite contact 48 / 65
Espoirs17


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
1Travis Boyd (A)X100.0060606060607070606060606060697309700321680,000$
2Ross JohnstonXX98.00856878738876887161696672655967097003111,260,000$
3Nick BjugstadX98.00745290688177886974656774656371097003321,310,000$
4Jack StudnickaX100.00625087717175897064706968655663097002631,450,000$
5Jake WiseX100.00606060606070706060606060604760099002511,312,500$
6Caedan BankierX100.00606060606070706060606060604760099002221,023,750$
7Vilmer AlrikssonXX100.0060606060607070606060606060505909900202825,000$
8Nathan VilleneuveX100.0060606060607070606060606060525909900192700,000$
9Tij IginlaX100.00606060606070706060606060605259099001921,500,000$
10Hiroki GojsicX100.0060606060607070606060606060505909900192825,000$
11Julius MiettinenXXX100.00606060606070706060606060605059099001921,250,000$
12Taylor WardXX100.0070549472817690706166676765715609900271810,000$
13Connor MackeyX100.0060508166787990632563626965546509900291690,000$
14Ashton Sautner (A)X100.0060606060607070606060606060737309700312810,000$
15Jack ThompsonX100.0060606060607070606060606060586409900232909,563$
16Andreas EnglundX99.00635082667775876225636269656470097002911,852,500$
17Zach Bogosian (C)X99.0071509172878182702565677365757509900351700,000$
18Lukas DragicevicX100.00606060606070706060606060604659099012011,250,000$
Rayé
1Jack MaloneXXX100.0060606060607070606060606060476009800251682,500$
2Kasper SimontaivalXX100.00606060606070706060606060604659098012311,312,500$
3Viggo GustafssonX100.00606060606070706060606060605061098001931,200,000$
4Taige HardingX100.0060606060607070606060606060545909800231750,000$
5Loke JohanssonX100.0060606060607070606060606060485909800202700,000$
MOYENNE D’ÉQUIPE99.746358686366727562566262636256630980
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
1Talyn Boyko97.0060707060606060606060606064099002311,023,750$
2Luke Cavallin100.006070706060606060606060496109900242800,000$
Rayé
1Sergei Ivanov100.006070706060606060606060536109800212750,000$
2Visa Vedenpaa100.006070706060606060606060496109800202700,000$
MOYENNE D’ÉQUIPE99.25607070606060606060606053620990
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Geordie Kinnear6565656569691CAN521600,000$


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
1Zach BogosianAmericans (FLA)D11230001162316.67%12929.001122400003000%000002.0700000010
2Nick BjugstadAmericans (FLA)C1022000344120%02727.2201103000040060.00%2020001.4711000000
3Andreas EnglundAmericans (FLA)D11120203420050.00%12828.121122400002000%002001.4200000000
4Julius MiettinenAmericans (FLA)C/LW/RW11121001051220.00%01616.13011130000000100.00%102002.4800000001
5Taylor WardAmericans (FLA)LW/RW1022000225210%11919.7801103000130070.00%1011002.0211000000
6Connor MackeyAmericans (FLA)D11011000040025.00%22525.221011300004000%000000.7900000000
7Ross JohnstonAmericans (FLA)LW/RW11010002143425.00%12727.1800003000040140.00%511000.7401000000
8Jack StudnickaAmericans (FLA)C1011020044160%22121.9800013000030078.95%1900000.9100000000
9Travis BoydAmericans (FLA)C1000-100011010%01212.4500000000000016.67%60000000000000
10Ashton SautnerAmericans (FLA)D1000075001000%12020.780000200003000%00000000001000
11Jack ThompsonAmericans (FLA)D1000-275100100%01313.680000000000000%00000000100000
12Jake WiseAmericans (FLA)C1000000000000%033.42000000000000100.00%10000000000000
13Caedan BankierAmericans (FLA)C1000-120221000%088.4500000000000066.67%90000000000000
14Lukas DragicevicAmericans (FLA)D1000-200000100%01313.950000000001000%00000000000000
15Vilmer AlrikssonAmericans (FLA)C/LW1000120311030%01616.430001300000000%10000000000000
16Nathan VilleneuveAmericans (FLA)C1000000000000%033.220000000000000%00000000000000
17Tij IginlaAmericans (FLA)LW1000-100331000%01212.120000000000000%01000000000000
18Hiroki GojsicAmericans (FLA)RW1000-100001010%01212.500000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne185914-52210212340122312.50%931117.313588400001320162.50%7256000.9023101011
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
1Talyn BoykoAmericans (FLA)11000.8754.69640054020000.667310000
Statistiques d’équipe totales ou en moyenne11000.8754.6964005402000310000


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
Andreas EnglundAmericans (FLA)D291996-01-21SWENo200 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,852,500$1,831,207$185,250$183,121$No---------------------------
Ashton SautnerAmericans (FLA)D311994-05-27CANNo195 Lbs6 ft1NoNoAssign ManuallyNoNo22026-09-26FalseFalsePro & Farm810,000$800,690$81,000$80,069$No810,000$--------810,000$--------No--------
Caedan BankierAmericans (FLA)C222003-01-26CANNo192 Lbs6 ft2NoNoN/ANoNo22026-08-10FalseFalsePro & Farm1,023,750$1,011,983$102,375$101,198$No1,023,750$--------1,023,750$--------No--------
Connor MackeyAmericans (FLA)D291996-09-12USANo205 Lbs6 ft3NoNoAssign ManuallyNoNo12025-11-16FalseFalsePro & Farm690,000$682,069$69,000$68,207$No---------------------------
Hiroki GojsicAmericans (FLA)RW192006-05-01CANNo209 Lbs6 ft1NoNoDraftNoNo22025-08-25FalseFalsePro & Farm825,000$815,517$82,500$81,552$No825,000$--------825,000$--------No--------
Jack MaloneAmericans (FLA)C/LW/RW252000-10-13USANo190 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm682,500$674,655$68,250$67,466$No---------------------------
Jack StudnickaAmericans (FLA)C261999-02-18CANNo187 Lbs6 ft1NoNoAssign ManuallyNoNo32026-09-26FalseFalsePro & Farm1,450,000$1,433,333$145,000$143,333$No1,450,000$1,450,000$-------1,450,000$1,450,000$-------NoNo-------
Jack ThompsonAmericans (FLA)D232002-03-19CANNo189 Lbs6 ft1NoNoN/ANoNo22026-08-10FalseFalsePro & Farm909,563$899,108$90,956$89,911$No909,563$--------909,563$--------No--------
Jake WiseAmericans (FLA)C252000-02-28USANo190 Lbs5 ft10NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,312,500$1,297,414$131,250$129,741$No---------------------------
Julius MiettinenAmericans (FLA)C/LW/RW192006-01-20FINNo207 Lbs6 ft2NoNoDraftNoNo22025-08-25FalseFalsePro & Farm1,250,000$1,235,632$125,000$123,563$No1,250,000$--------1,250,000$--------No--------
Kasper SimontaivalAmericans (FLA)LW/RW232002-01-11FINNo176 Lbs5 ft9NoNoProspectNoNo12026-08-10FalseFalsePro & Farm1,312,500$1,297,414$131,250$129,741$No---------------------------
Loke JohanssonAmericans (FLA)D202005-12-14SWENo214 Lbs6 ft1NoNoDraftNoNo22025-08-25FalseFalsePro & Farm700,000$691,954$70,000$69,195$No700,000$--------700,000$--------No--------
Lukas DragicevicAmericans (FLA)D202005-04-25CANNo196 Lbs6 ft2NoNoProspectNoNo12024-08-27FalseFalsePro & Farm1,250,000$1,235,632$125,000$123,563$No---------------------------
Luke CavallinAmericans (FLA)G242001-04-29CANNo196 Lbs6 ft2NoNoFree AgentNoNo22026-08-10FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$--------800,000$--------No--------
Nathan VilleneuveAmericans (FLA)C192006-04-13CANNo194 Lbs5 ft10NoNoDraftNoNo22025-08-25FalseFalsePro & Farm700,000$691,954$70,000$69,195$No700,000$--------700,000$--------No--------
Nick Bjugstad (contrat à 1 volet)Americans (FLA)C331992-07-17USANo210 Lbs6 ft6NoNoAssign Manually2025-05-21NoNo22025-11-16FalseFalsePro & Farm1,310,000$1,295,914$1,310,000$1,295,914$No1,310,000$--------1,310,000$--------No--------
Ross Johnston (contrat à 1 volet)Americans (FLA)LW/RW311994-02-18CANNo232 Lbs6 ft5NoNoAssign ManuallyNoNo12025-11-16FalseFalsePro & Farm1,260,000$1,246,452$1,260,000$1,246,452$No---------------------------
Sergei IvanovAmericans (FLA)G212004-04-03RUSNo157 Lbs5 ft10NoNoProspectNoNo22025-08-25FalseFalsePro & Farm750,000$741,379$75,000$74,138$No750,000$--------750,000$--------No--------
Taige HardingAmericans (FLA)D232002-01-03GBRNo236 Lbs6 ft5NoNoProspectNoNo12025-08-25FalseFalsePro & Farm750,000$741,379$75,000$74,138$No---------------------------
Talyn BoykoAmericans (FLA)G232002-10-16CANNo201 Lbs6 ft8NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,023,750$1,011,983$102,375$101,198$No---------------------------
Taylor WardAmericans (FLA)LW/RW271998-03-31CANNo215 Lbs6 ft2NoNoAssign ManuallyNoNo12025-11-16FalseFalsePro & Farm810,000$800,690$81,000$80,069$No---------------------------
Tij IginlaAmericans (FLA)LW192006-08-04USANo194 Lbs5 ft10NoNoDraftNoNo22025-08-25FalseFalsePro & Farm1,500,000$1,482,759$150,000$148,276$No1,500,000$--------1,500,000$--------No--------
Travis Boyd (contrat à 1 volet)Americans (FLA)C321993-09-14USANo190 Lbs6 ft0NoNoAssign ManuallyNoNo12025-11-16FalseFalsePro & Farm680,000$672,688$680,000$672,688$No---------------------------
Viggo GustafssonAmericans (FLA)D192006-09-11SWENo194 Lbs6 ft0NoNoAssign ManuallyNoNo32026-07-20FalseFalsePro & Farm1,200,000$1,186,207$120,000$118,621$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------
Vilmer AlrikssonAmericans (FLA)C/LW202005-02-18SWENo234 Lbs6 ft4NoNoProspectNoNo22025-08-25FalseFalsePro & Farm825,000$815,517$82,500$81,552$No825,000$--------825,000$--------No--------
Visa VedenpaaAmericans (FLA)G202005-05-11FINNo183 Lbs6 ft0NoNoProspectNoNo22025-08-25FalseFalsePro & Farm700,000$691,954$70,000$69,195$No700,000$--------700,000$--------No--------
Zach Bogosian (contrat à 1 volet)Americans (FLA)D351990-07-15USANo231 Lbs6 ft3NoNoTrade2026-09-26NoNo12025-11-16FalseFalsePro & Farm700,000$692,473$700,000$692,473$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2724.33201 Lbs6 ft21.631,002,854$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ross JohnstonNick BjugstadTaylor Ward28122
2Vilmer AlrikssonJack StudnickaJulius Miettinen28122
3Tij IginlaTravis BoydHiroki Gojsic25122
4Ross JohnstonCaedan BankierNick Bjugstad19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach BogosianAndreas Englund28122
2Connor MackeyAshton Sautner28122
3Jack ThompsonLukas Dragicevic25122
4Zach BogosianAndreas Englund19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ross JohnstonNick BjugstadTaylor Ward50122
2Vilmer AlrikssonJack StudnickaJulius Miettinen50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach BogosianAndreas Englund50122
2Connor MackeyAshton Sautner50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ross JohnstonNick Bjugstad50122
2Taylor WardJack Studnicka50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach BogosianAndreas Englund50122
2Connor MackeyAshton Sautner50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ross Johnston50122Zach BogosianAndreas Englund50122
2Nick Bjugstad50122Connor MackeyAshton Sautner50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ross JohnstonNick Bjugstad50122
2Taylor WardJack Studnicka50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach BogosianAndreas Englund50122
2Connor MackeyAshton Sautner50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ross JohnstonNick BjugstadTaylor WardZach BogosianAndreas Englund
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ross JohnstonNick BjugstadTaylor WardZach BogosianAndreas Englund
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Wise, Nathan Villeneuve, Travis BoydJake Wise, Nathan VilleneuveTravis Boyd
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Thompson, Lukas Dragicevic, Connor MackeyJack ThompsonLukas Dragicevic, Connor Mackey
Tirs de pénalité
Ross Johnston, Nick Bjugstad, Taylor Ward, Jack Studnicka, Travis Boyd
Gardien
#1 : Talyn Boyko, #2 : Luke Cavallin


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
1Sens10000010651100000106510000000000021.000691500014240111315440922216350.00%6266.67%0172470.83%152853.57%132065.00%211023101910
Total10000010651100000106510000000000021.000691500014240111315440922216350.00%6266.67%0172470.83%152853.57%132065.00%211023101910
_Since Last GM Reset10000010651100000106510000000000021.000691500014240111315440922216350.00%6266.67%0172470.83%152853.57%132065.00%211023101910
_Vs Conference10000010651100000106510000000000021.000691500014240111315440922216350.00%6266.67%0172470.83%152853.57%132065.00%211023101910

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
12W1691540409222100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
100001065
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
100001065
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
100000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
6350.00%6266.67%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
11131540142
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
172470.83%152853.57%132065.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
211023101910


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
215Sens5Americans6WXXSommaire du match
325Americans-Phantoms-
646Wolves-Americans-
865Norsemen-Americans-
974Americans-Grisards-
1084Americans-Titans-
1298Americans-Phantoms-
15117Moose-Americans-
18142Whalers-Americans-
20154Americans-Rams-
22169Gulls-Americans-
27198Blossom Bytes-Americans-
29218Americans-Whalers-
31226Americans-Pens-
33240Grisards-Americans-
35254Americans-Rams-
37268Whalers-Americans-
39288Americans-White Wolves-
40300Americans-Admirals-
42311Rams-Americans-
44331Titans-Americans-
47347Americans-Titans-
49363Americans-Moose-
50371Redhawks-Americans-
53393Americans-Whalers-
55405Americans-Wolves-
56413Bears-Americans-
59433Wolves-Americans-
61447Americans-Blossom Bytes-
63463Americans-Gorillas-
64474Sens-Americans-
67494Americans-Norsemen-
69506Bills-Americans-
71529Griffins-Americans-
73542Americans-Pens-
75553Americans-Octopus-
77567Sens-Americans-
79586Americans-Gulls-
81600Wolves-Americans-
83617Americans-Grisards-
86632Roadrunners-Americans-
87643Americans-Wolf Pack-
90663Grisards-Americans-
92682Americans-Saints-
94695Norsemen-Americans-
98720Norsemen-Americans-
99731Americans-Wolves-
101739Americans-Norsemen-
103760Phantoms-Americans-
105776Americans-Sens-
107790Americans-Blood Miners-
108798Gulls-Americans-
111824Phantoms-Americans-
113833Americans-Silver Knights-
115849Americans-Titans-
117860Americans-Eagles-
118869Pens-Americans-
121891Moose-Americans-
122901Americans-Sens-
126924Wolf Pack-Americans-
128944Americans-Moose-
130958Mountaineers-Americans-
133979Americans-Rocket-
134990Gulls-Americans-
1371012Americans-Phantoms-
1381020Admirals-Americans-
1421048Admirals-Americans-
1441064Americans-Bears-
1461079Crunch-Americans-
1481090Americans-Grisards-
1501111Whalers-Americans-
1531126Americans-Phantoms-
1541134Americans-Bears-
1571151Bulldogs-Americans-
1611178Blossom Bytes-Americans-
1631186Americans-Wolf Pack-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1681215Reign-Americans-
1721241Moose-Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité35005000
Prix des billets3515
Assistance3,5005,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 8500 - 100.00% 237,000$237,000$8500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
33,480$ 2,312,706$ 2,312,706$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
16,740$ 33,480$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 172 16,740$ 2,879,280$




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