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Americans
GP: 43 | W: 23 | L: 15 | OTL: 5 | P: 51
GF: 155 | GA: 143 | PP%: 24.38% | PK%: 77.50%
DG: Steven Paradis | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #716 vs Checkers

Centre de jeu
Americans
23-15-5, 51pts
4
3 Wolf Pack
16-25-5, 37pts
Team Stats
L1SéquenceL2
13-5-3Fiche domicile6-13-1
10-10-2Fiche domicile10-12-4
6-4-0Derniers 10 matchs3-6-1
3.60Buts par match 2.96
3.33Buts contre par match 3.78
24.38%Pourcentage en avantage numérique21.43%
77.50%Pourcentage en désavantage numérique77.94%
Gulls
29-14-2, 60pts
3
2 Americans
23-15-5, 51pts
Team Stats
W1SéquenceL1
10-10-1Fiche domicile13-5-3
19-4-1Fiche domicile10-10-2
5-5-0Derniers 10 matchs6-4-0
3.36Buts par match 3.60
2.93Buts contre par match 3.33
19.76%Pourcentage en avantage numérique24.38%
76.35%Pourcentage en désavantage numérique77.50%
Checkers
8-31-5, 21pts
2026-01-12
Americans
23-15-5, 51pts
Statistiques d’équipe
L10SéquenceL1
4-18-4Fiche domicile13-5-3
4-13-1Fiche visiteur10-10-2
0-10-010 derniers matchs6-4-0
2.55Buts par match 3.60
4.68Buts contre par match 3.60
16.11%Pourcentage en avantage numérique24.38%
70.33%Pourcentage en désavantage numérique77.50%
Phantoms
19-21-3, 41pts
2026-01-14
Americans
23-15-5, 51pts
Statistiques d’équipe
W1SéquenceL1
11-10-2Fiche domicile13-5-3
8-11-1Fiche visiteur10-10-2
3-6-110 derniers matchs6-4-0
2.74Buts par match 3.60
3.28Buts contre par match 3.60
14.58%Pourcentage en avantage numérique24.38%
81.22%Pourcentage en désavantage numérique77.50%
Rocket
24-18-3, 51pts
2026-01-15
Americans
23-15-5, 51pts
Statistiques d’équipe
L1SéquenceL1
14-8-1Fiche domicile13-5-3
10-10-2Fiche visiteur10-10-2
5-5-010 derniers matchs6-4-0
3.40Buts par match 3.60
3.00Buts contre par match 3.60
23.23%Pourcentage en avantage numérique24.38%
83.70%Pourcentage en désavantage numérique77.50%
Meneurs d'équipe
Lucas CondottaButs
Lucas Condotta
20
Nikolas MatinpaloPasses
Nikolas Matinpalo
39
Jakub LaukoPoints
Jakub Lauko
43
Jakub LaukoPlus/Moins
Jakub Lauko
18
Carter GeorgeVictoires
Carter George
14
Malcolm SubbanPourcentage d’arrêts
Malcolm Subban
0.912

Statistiques d’équipe
Buts pour
155
3.60 GFG
Tirs pour
1394
32.42 Avg
Pourcentage en avantage numérique
24.4%
39 GF
Début de zone offensive
39.9%
Buts contre
143
3.33 GAA
Tirs contre
1397
32.49 Avg
Pourcentage en désavantage numérique
77.5%%
36 GA
Début de la zone défensive
41.0%
Informations de l'équipe

Directeur généralSteven Paradis
EntraîneurBrock Sheahan
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineLucas Condotta
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance4,653
Billets de saison3,750


Informations de la formation

Équipe Pro23
Équipe Mineure20
Limite contact 43 / 70
Espoirs28


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
1Lucas Condotta (C)X100.00714173638173866265606164626872040640281925,000$
2Jakub LaukoXXX100.00825678677674826362616066636567040640263925,000$
3Rem PitlickXX100.006137886770787664736562636168700406402921,299,000$
4Anthony AngelloXXX100.00824374599174805863575661556971040620301925,000$
5Dylan GambrellX100.00603788646979825868605962566971040620303925,000$
6Jonathan GrudenX100.007140725872748259655758565565670406102621,025,000$
7Shane BowersXX100.00683891597876825766585655596668040610273925,000$
8Alex BeaucageX100.00673890587675675753565455586466040600252925,000$
9Mitchell RussellX100.00643794567375615550525954586466040590252925,000$
10Anthony RomanoX100.00593695566968695560545352566567040580252925,000$
11Mark LiwiskiX100.00665450527669685359545556526466040570252925,000$
12Jordan HarrisX100.006434906670867663307158725266670406502631,000,000$
13Nikolas MatinpaloX100.00733987668678866330605865506769040640273925,000$
14Chase PriskieX100.00623884607174845930625758496971040620301925,000$
15Jimmy SchuldtX100.00693883597880866130585660497074040620311925,000$
16Daniil MisyulX100.00694170598076795830575560486567040610252925,000$
17Jonathan AspirotX100.006541716074698457306254564769710406102721,000,000$
18Harrison Brunicke (R)X100.00734658548265605330565055456061040570203925,000$
19Lleyton MooreX100.00553694566463685330555451466365040570242925,000$
Rayé
1Andrew PoturalskiXXX100.00573783676987836673686362667173040650321925,000$
2Matthew HighmoreX100.00693694657079816367645968576970040640303925,000$
MOYENNE D’ÉQUIPE100.0067408161757577595159576054666904061
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
1Carter George (R)100.0075706773747375747375746061040660203925,000$
2Malcolm Subban100.0072827783717072717072717286040650321925,000$
Rayé
MOYENNE D’ÉQUIPE100.007476727873727473727473667404066
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brock Sheahan67636974615885CAN412500,000$


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
1Jakub LaukoAmericans (BUF)C/LW/RW31192443182608096131308314.50%861419.83481226750000401149.06%64000111.4002000334
2Nikolas MatinpaloAmericans (BUF)D434394332054558743754.60%71104124.2221517471370001121100%000000.8300000123
3Dylan GambrellAmericans (BUF)C43172340-3602194134407312.69%1079318.456511341100002602148.33%38900011.0103000311
4Lucas CondottaAmericans (BUF)C43202040-42601031211524911513.16%1585019.783692210901141171048.19%107900000.9401000511
5Anthony AngelloAmericans (BUF)C/LW/RW431818361428012756124227814.52%985319.856612201250001292151.28%7800000.8402000322
6Rem PitlickAmericans (BUF)C/RW40101828-61602571129381027.75%1581720.4404422690002511054.94%16200000.6801000100
7Jonathan GrudenAmericans (BUF)C4381624-43401158574255110.81%686320.083471910810111073047.82%84900000.5600000212
8Shane BowersAmericans (BUF)C/RW431014241440223671295614.08%380818.8042613126000002148.28%5800010.5900000021
9Rafael Harvey-PinardSabresLW271210220403281117196610.26%553119.690117180003263049.53%21200010.8311000111
10Jimmy SchuldtAmericans (BUF)D4341418-124048496617276.06%5291721.35156371150000112010%000000.3900000012
11Jonathan AspirotAmericans (BUF)D4341418722057392091120.00%4063414.7610110000030210%000000.5700000011
12Daniil MisyulAmericans (BUF)D432111393005531278267.41%4662114.460110700002000%000000.4200000000
13Harrison BrunickeAmericans (BUF)D35369-140097181571420.00%3373621.0421389400009000%000000.2400000020
14Alex BeaucageAmericans (BUF)RW43088-68018213512250%345310.5400000000000050.00%2600000.3500000000
15Andrew PoturalskiAmericans (BUF)C/LW/RW6156420915307233.33%015325.660115170003201056.52%2300000.7801000101
16Mitchell RussellAmericans (BUF)RW43235200622269157.69%23157.35011250000160044.62%18600000.3202000010
17Chase PriskieAmericans (BUF)D15325-120710227713.64%1321114.08011826000021000%000000.4700000000
18Jordan HarrisAmericans (BUF)D10235-1205453340.00%4666.651122900006000%000001.5000000000
19Alex Barre-BouletSabresC/LW/RW10224-2405152411278.33%418718.7500001000080045.45%2200000.4300000100
20Lleyton MooreAmericans (BUF)D37011100121000%101123.05011010000107000%000000.1800000000
21Anthony RomanoAmericans (BUF)C15000-100021010%1211.43000000000140050.00%160000000000000
22Mark LiwiskiAmericans (BUF)C37000000122000%0110.3000000000000057.89%190000000000000
Statistiques d’équipe totales ou en moyenne736141251392422800888925129338587810.90%3501161915.7933639627311611121790619648.63%375900140.67113000211819
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
1Carter GeorgeAmericans (BUF)2614740.8893.59147320887950200.900102617100
2Malcolm SubbanAmericans (BUF)209810.9122.82112821536020200.66731726210
Statistiques d’équipe totales ou en moyenne46231550.8993.252602411411397040134343310


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
Alex BeaucageAmericans (BUF)RW252001-07-25CANNo192 Lbs185 CMNoNoFree AgentNoNo22025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Andrew PoturalskiAmericans (BUF)C/LW/RW321994-01-14USANo187 Lbs178 CMNoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Anthony AngelloAmericans (BUF)C/LW/RW301996-03-06USANo210 Lbs196 CMNoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Anthony RomanoAmericans (BUF)C252000-10-07CANNo182 Lbs180 CMNoNoFree AgentNoNo22025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Carter GeorgeAmericans (BUF)G202006-05-20CANYes196 Lbs185 CMNoNoDraftNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Chase PriskieAmericans (BUF)D301996-03-19USANo185 Lbs183 CMNoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Daniil MisyulAmericans (BUF)D252000-10-20RUSNo176 Lbs191 CMNoNoTrade2025-08-26NoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Dylan GambrellAmericans (BUF)C301996-08-26USANo185 Lbs180 CMNoNoFree AgentYesYes32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Harrison BrunickeAmericans (BUF)D202006-05-08CANYes195 Lbs191 CMNoNoDraftNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Jakub LaukoAmericans (BUF)C/LW/RW262000-03-28CZENo193 Lbs185 CMNoNoTrade2025-08-26NoNo32025-07-13FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Jimmy SchuldtAmericans (BUF)D311995-05-11USANo203 Lbs185 CMNoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Jonathan AspirotAmericans (BUF)D271999-05-16CANNo200 Lbs183 CMNoNoAssign ManuallyNoNo22024-07-22FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Jonathan GrudenAmericans (BUF)C262000-05-04USANo172 Lbs183 CMNoNoAssign ManuallyNoNo22024-07-22FalseFalsePro & Farm1,025,000$0$0$No1,025,000$--------1,025,000$--------No--------Lien / Lien NHL
Jordan HarrisAmericans (BUF)D262000-07-07USANo187 Lbs180 CMNoNoFree Agent2024-07-21NoNo32025-07-13FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Lleyton MooreAmericans (BUF)D242002-02-27CANNo178 Lbs173 CMNoNoTrade2025-08-26NoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Lucas CondottaAmericans (BUF)C281997-11-06CANNo218 Lbs185 CMNoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Malcolm SubbanAmericans (BUF)G321993-12-21CANNo215 Lbs188 CMNoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Mark LiwiskiAmericans (BUF)C252001-08-08CANNo195 Lbs185 CMNoNoFree AgentNoNo22025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Matthew HighmoreAmericans (BUF)C301996-02-27CANNo186 Lbs180 CMNoNoFree AgentYesYes32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Mitchell RussellAmericans (BUF)RW252001-03-06CANNo194 Lbs183 CMNoNoFree AgentNoNo22025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Nikolas MatinpaloAmericans (BUF)D271998-10-05FINNo211 Lbs191 CMNoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Rem PitlickAmericans (BUF)C/RW291997-04-02USANo186 Lbs180 CMNoNoTrade2025-07-22YesYes2FalseFalsePro & Farm1,299,000$0$0$No1,299,000$--------1,299,000$--------No--------Lien / Lien NHL
Shane BowersAmericans (BUF)C/RW271999-07-30CANNo186 Lbs188 CMNoNoTrade2025-08-26NoNo32025-07-13FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2326.96193 Lbs185 CM2.09952,130$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rem PitlickJonathan GrudenAnthony Angello40122
2Jakub LaukoDylan GambrellShane Bowers30122
3Mitchell RussellLucas CondottaAlex Beaucage20122
4Lucas CondottaMark LiwiskiShane Bowers10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikolas MatinpaloHarrison Brunicke40122
2Jimmy SchuldtJordan Harris30122
3Daniil MisyulJonathan Aspirot20122
4Nikolas MatinpaloHarrison Brunicke10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dylan GambrellLucas CondottaJonathan Gruden60122
2Anthony AngelloRem PitlickShane Bowers40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikolas MatinpaloJordan Harris60122
2Jimmy SchuldtHarrison Brunicke40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lucas CondottaJonathan Gruden60122
2Dylan GambrellMitchell Russell40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikolas MatinpaloLleyton Moore60122
2Jimmy SchuldtJordan Harris40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lucas Condotta60122Nikolas MatinpaloLleyton Moore60122
2Rem Pitlick40122Jimmy SchuldtJordan Harris40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lucas CondottaMitchell Russell60122
2Dylan GambrellJonathan Gruden40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikolas MatinpaloHarrison Brunicke60122
2Jimmy SchuldtJordan Harris40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony AngelloLucas CondottaRem PitlickNikolas MatinpaloLleyton Moore
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony AngelloLucas CondottaRem PitlickNikolas MatinpaloLleyton Moore
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jonathan Gruden, Mitchell Russell, Rem PitlickJonathan Gruden, Mitchell RussellRem Pitlick
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Daniil Misyul, Jonathan Aspirot, Jimmy SchuldtDaniil MisyulJonathan Aspirot, Jimmy Schuldt
Tirs de pénalité
Dylan Gambrell, Anthony Angello, Mitchell Russell, Jonathan Gruden, Lucas Condotta
Gardien
#1 : Malcolm Subban, #2 : Carter George


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
1Bears1000010045-11000010045-10000000000010.50047110046555043042444251328412020234125.00%10370.00%0756150350.30%745154348.28%34972248.34%10106891036321560277
2Bruins31100001912-3110000005322010000149-530.5009182700465550498424442513289726146710110.00%7185.71%1756150350.30%745154348.28%34972248.34%10106891036321560277
3Canucks211000001183110000008441010000034-120.5001121320046555046642444251328822524459333.33%11372.73%0756150350.30%745154348.28%34972248.34%10106891036321560277
4Checkers11000000532110000005320000000000021.000591400465550454424442513283168253133.33%40100.00%0756150350.30%745154348.28%34972248.34%10106891036321560277
5Comets2010100047-3100010004311010000004-420.50045900465550463424442513285915831500.00%4175.00%0756150350.30%745154348.28%34972248.34%10106891036321560277
6Condors2020000047-31010000034-11010000013-200.00047110046555046542444251328642020487114.29%100100.00%0756150350.30%745154348.28%34972248.34%10106891036321560277
7Eagles21100000862110000006241010000024-220.500815230046555046542444251328631916485360.00%7357.14%0756150350.30%745154348.28%34972248.34%10106891036321560277
8Firebirds1010000012-1000000000001010000012-100.00012300465550421424442513282581033200.00%5180.00%0756150350.30%745154348.28%34972248.34%10106891036321560277
9Griffins22000000954110000004311100000052341.000915240046555046142444251328671618666233.33%8362.50%0756150350.30%745154348.28%34972248.34%10106891036321560277
10Gulls1010000023-11010000023-10000000000000.0002350046555043042444251328321312333266.67%5180.00%0756150350.30%745154348.28%34972248.34%10106891036321560277
11Heat2010010068-21000010034-11010000034-110.250611170046555045842444251328511714506116.67%70100.00%0756150350.30%745154348.28%34972248.34%10106891036321560277
12IceHogs10001000541100010005410000000000021.0005101500465550431424442513282712618300.00%2150.00%0756150350.30%745154348.28%34972248.34%10106891036321560277
13Marlies211000008801010000035-21100000053220.500814220046555046842444251328611616507228.57%6433.33%0756150350.30%745154348.28%34972248.34%10106891036321560277
14Monsters21100000752110000006331010000012-120.5007132000465550458424442513287426183913430.77%9188.89%0756150350.30%745154348.28%34972248.34%10106891036321560277
15Moose210010001293100010008711100000042241.0001221330046555047642444251328781716589444.44%8187.50%0756150350.30%745154348.28%34972248.34%10106891036321560277
16Penguins11000000321000000000001100000032121.00036900465550426424442513283888233133.33%40100.00%0756150350.30%745154348.28%34972248.34%10106891036321560277
17Phantoms210000016601000000134-11100000032130.75061218004655504454244425132855108489222.22%3166.67%0756150350.30%745154348.28%34972248.34%10106891036321560277
18Roadrunners220000001183110000007521100000043141.00011203100465550484424442513287825184511218.18%9455.56%0756150350.30%745154348.28%34972248.34%10106891036321560277
19Rocket1010000024-2000000000001010000024-200.0002460046555043642444251328361314284125.00%7185.71%0756150350.30%745154348.28%34972248.34%10106891036321560277
20Senators21100000862110000007431010000012-120.500816240046555046542444251328611514479111.11%6183.33%0756150350.30%745154348.28%34972248.34%10106891036321560277
21Sound Tigers11000000523110000005230000000000021.00058130046555043242444251328248819100.00%4175.00%0756150350.30%745154348.28%34972248.34%10106891036321560277
22Stars11000000431000000000001100000043121.00047110046555043642444251328361110199333.33%4175.00%0756150350.30%745154348.28%34972248.34%10106891036321560277
23Thunderbirds211000005321010000023-11100000030320.500510150146555046142444251328732614448225.00%7271.43%0756150350.30%745154348.28%34972248.34%10106891036321560277
24Wild11000000413000000000001100000041321.000471100465550430424442513283048213133.33%40100.00%0756150350.30%745154348.28%34972248.34%10106891036321560277
25Wolf Pack21000010862100000104311100000043141.0008111900465550481424442513284698407114.29%4175.00%0756150350.30%745154348.28%34972248.34%10106891036321560277
26Wolves20100100410-61010000027-51000010023-110.2504812004655504544244425132868231258400.00%5180.00%0756150350.30%745154348.28%34972248.34%10106891036321560277
Total4319150331215514312219503211968115221010001015962-3510.593155280435014655504139442444251328139740834210261603924.38%1603677.50%1756150350.30%745154348.28%34972248.34%10106891036321560277
_Since Last GM Reset4319150331215514312219503211968115221010001015962-3510.593155280435014655504139442444251328139740834210261603924.38%1603677.50%1756150350.30%745154348.28%34972248.34%10106891036321560277
_Vs Conference241170121282811126201111524571255001013036-6300.6258214622800465550477142444251328758211174564851720.00%811976.54%1756150350.30%745154348.28%34972248.34%10106891036321560277
_Vs Division116400001413835410000024186623000011720-3130.591417611700465550438242444251328353928428339820.51%381073.68%1756150350.30%745154348.28%34972248.34%10106891036321560277

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4351L115528043513941397408342102601
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4319153312155143
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
219532119681
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
22101001015962
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1603924.38%1603677.50%1
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
424442513284655504
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
756150350.30%745154348.28%34972248.34%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10106891036321560277


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
3 - 2025-10-099Wolf Pack3Americans4WXXSommaire du match
5 - 2025-10-1124Americans1Bruins5LSommaire du match
7 - 2025-10-1339Eagles2Americans6WSommaire du match
9 - 2025-10-1557Senators4Americans7WSommaire du match
12 - 2025-10-1876Checkers3Americans5WSommaire du match
14 - 2025-10-2095Americans2Rocket4LSommaire du match
16 - 2025-10-22109Griffins3Americans4WSommaire du match
18 - 2025-10-24123Marlies5Americans3LSommaire du match
19 - 2025-10-25132Americans5Marlies3WSommaire du match
22 - 2025-10-28152Monsters3Americans6WSommaire du match
24 - 2025-10-30167Americans3Bruins4LXXSommaire du match
26 - 2025-11-01186Bears5Americans4LXSommaire du match
29 - 2025-11-04203Roadrunners5Americans7WSommaire du match
31 - 2025-11-06219Thunderbirds3Americans2LSommaire du match
33 - 2025-11-08238Americans2Wolves3LXSommaire du match
37 - 2025-11-12267Americans4Roadrunners3WSommaire du match
38 - 2025-11-13275Americans2Eagles4LSommaire du match
40 - 2025-11-15287Americans5Griffins2WSommaire du match
42 - 2025-11-17302Condors4Americans3LSommaire du match
44 - 2025-11-19316Heat4Americans3LXSommaire du match
46 - 2025-11-21331IceHogs4Americans5WXSommaire du match
48 - 2025-11-23347Wolves7Americans2LSommaire du match
51 - 2025-11-26366Americans3Penguins2WSommaire du match
53 - 2025-11-28379Comets3Americans4WXSommaire du match
54 - 2025-11-29399Americans4Wild1WSommaire du match
56 - 2025-12-01408Moose7Americans8WXSommaire du match
58 - 2025-12-03423Americans3Phantoms2WSommaire du match
60 - 2025-12-05437Americans4Moose2WSommaire du match
63 - 2025-12-08463Americans3Heat4LSommaire du match
64 - 2025-12-09474Americans1Condors3LSommaire du match
66 - 2025-12-11492Americans3Canucks4LSommaire du match
69 - 2025-12-14513Americans1Firebirds2LSommaire du match
73 - 2025-12-18535Phantoms4Americans3LXXSommaire du match
75 - 2025-12-20553Sound Tigers2Americans5WSommaire du match
76 - 2025-12-21565Americans0Comets4LSommaire du match
78 - 2025-12-23578Americans1Senators2LSommaire du match
82 - 2025-12-27589Bruins3Americans5WSommaire du match
84 - 2025-12-29610Americans3Thunderbirds0WSommaire du match
86 - 2025-12-31628Americans4Stars3WSommaire du match
89 - 2026-01-03646Americans1Monsters2LSommaire du match
92 - 2026-01-06667Canucks4Americans8WSommaire du match
94 - 2026-01-08685Americans4Wolf Pack3WSommaire du match
96 - 2026-01-10701Gulls3Americans2LSommaire du match
98 - 2026-01-12716Checkers-Americans-
100 - 2026-01-14736Phantoms-Americans-
101 - 2026-01-15740Rocket-Americans-
103 - 2026-01-17754Wild-Americans-
105 - 2026-01-19770Americans-Wolves-
106 - 2026-01-20784Americans-Admirals-
108 - 2026-01-22795Americans-Rocket-
110 - 2026-01-24810Americans-Sound Tigers-
113 - 2026-01-27831Americans-Marlies-
115 - 2026-01-29844Reign-Americans-
117 - 2026-01-31865Rocket-Americans-
119 - 2026-02-02876Americans-Checkers-
120 - 2026-02-03886Americans-Crunch-
122 - 2026-02-05903Penguins-Americans-
142 - 2026-02-25910Americans-Comets-
144 - 2026-02-27930Americans-Checkers-
145 - 2026-02-28941Americans-Crunch-
148 - 2026-03-03960Silver Knights-Americans-
150 - 2026-03-05977Americans-Penguins-
152 - 2026-03-07992Admirals-Americans-
153 - 2026-03-081003Crunch-Americans-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101013Barracuda-Americans-
157 - 2026-03-121028Bears-Americans-
159 - 2026-03-141047Marlies-Americans-
162 - 2026-03-171075Americans-Silver Knights-
164 - 2026-03-191092Americans-Barracuda-
166 - 2026-03-211102Americans-Reign-
167 - 2026-03-221117Americans-Gulls-
170 - 2026-03-251135Bruins-Americans-
172 - 2026-03-271150Griffins-Americans-
173 - 2026-03-281159Firebirds-Americans-
176 - 2026-03-311179Sound Tigers-Americans-
178 - 2026-04-021191Americans-Senators-
180 - 2026-04-041213Americans-Bears-
182 - 2026-04-061229Crunch-Americans-
184 - 2026-04-081244Americans-Wolf Pack-
185 - 2026-04-091247Monsters-Americans-
189 - 2026-04-131288Americans-IceHogs-
191 - 2026-04-151301Stars-Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance58,87638,845
Assistance PCT93.45%92.49%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
20 4653 - 93.07% 142,842$2,999,680$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,428,175$ 2,189,900$ 2,189,900$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,176,860$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,856,838$ 96 13,937$ 1,337,952$




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