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Americans
GP: 7 | W: 3 | L: 4
GF: 23 | GA: 25 | PP%: 21.43% | PK%: 77.78%
DG: Steven Paradis | Morale : 40 | Moyenne d’équipe : 62

Centre de jeu
Senators
16-11-0, 32pts
3
4 Americans
3-4-0, 6pts
Team Stats
W3SéquenceOTL1
10-4-0Fiche domicile2-1-0
6-7-0Fiche domicile1-3-0
8-1-1Derniers 10 matchs3-3-1
3.26Buts par match 3.29
3.19Buts contre par match 3.57
25.00%Pourcentage en avantage numérique21.43%
79.07%Pourcentage en désavantage numérique77.78%
Americans
3-4-0, 6pts
4
5 Senators
16-11-0, 32pts
Team Stats
OTL1SéquenceW3
2-1-0Fiche domicile10-4-0
1-3-0Fiche domicile6-7-0
3-3-1Derniers 10 matchs8-1-1
3.29Buts par match 3.26
3.57Buts contre par match 3.19
21.43%Pourcentage en avantage numérique25.00%
77.78%Pourcentage en désavantage numérique79.07%
Meneurs d'équipe
Lucas CondottaButs
Lucas Condotta
7
Jimmy SchuldtPasses
Jimmy Schuldt
7
Lucas CondottaPoints
Lucas Condotta
11
Lucas CondottaPlus/Moins
Lucas Condotta
5
Malcolm SubbanVictoires
Malcolm Subban
3
Malcolm SubbanPourcentage d’arrêts
Malcolm Subban
0.895

Statistiques d’équipe
Buts pour
23
3.29 GFG
Tirs pour
264
37.71 Avg
Pourcentage en avantage numérique
21.4%
6 GF
Début de zone offensive
40.8%
Buts contre
25
3.57 GAA
Tirs contre
256
36.57 Avg
Pourcentage en désavantage numérique
77.8%%
6 GA
Début de la zone défensive
41.3%
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
Assistance4,954
Billets de saison3,750


Informations de la formation

Équipe Pro22
Équipe Mineure20
Limite contact 42 / 70
Espoirs26


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Lucas Condotta (C)X100.00714173638173866265606164626872040640281925,000$
2Matthew HighmoreX100.00693694657079816367645968576970040640303925,000$
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$
18Lleyton MooreX100.00553694566463685330555451466365040570242925,000$
Rayé
1Andrew PoturalskiXXX100.00573783676987836673686362667173040650321925,000$
2Harrison Brunicke (R)X100.00734658548265605330565055456061040570203925,000$
MOYENNE D’ÉQUIPE100.0066398160757577595059575954676904061
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
1Lucas CondottaAmericans (BUF)C7741158018233922317.95%215622.4311210231012241049.75%20300011.4000000202
2Shane BowersAmericans (BUF)C/RW7358-1001162581412.00%114921.411231222000000050.00%800001.0700000000
3Jimmy SchuldtAmericans (BUF)D7077-3601415163120%816723.97022921000020000%000000.8300000000
4Daniil MisyulAmericans (BUF)D72462401151761311.76%612718.182021318000020100%000000.9400000100
5Alex BeaucageAmericans (BUF)RW733630027111327.27%18311.8600000000000066.67%600001.4400000020
6Jonathan GrudenAmericans (BUF)C7235-312019181921710.53%317324.810002230111220050.55%18200000.5800000000
7Dylan GambrellAmericans (BUF)C7134-300018296203.45%114320.440225230000120055.33%15000000.5600000000
8Rem PitlickAmericans (BUF)C/RW7224-5207213014226.67%016423.520228220002140079.59%4900000.4900000000
9Mitchell RussellAmericans (BUF)RW712332055134157.69%012317.701124230001110075.00%1200000.4800000000
10Matthew HighmoreAmericans (BUF)C7123-500817248194.17%212718.2800000000000071.43%1400000.4700000000
11Lleyton MooreAmericans (BUF)D7033-120426150%714320.56011325000023000%000000.4200000000
12Mark LiwiskiAmericans (BUF)C7022200520210%0263.8000000000000050.00%4000001.5000000000
13Jonathan AspirotAmericans (BUF)D711222014480412.50%512918.45101824000021100%000000.3100000001
14Nikolas MatinpaloAmericans (BUF)D7022000324000%5314.540000000000000%000001.2600000000
15Harrison BrunickeAmericans (BUF)D10110175413010%22222.570001401103000%000000.8900010000
16Jordan HarrisAmericans (BUF)D7011-220783060%911816.910000000000000%000000.1700000000
17Anthony RomanoAmericans (BUF)C7000000001000%050.8200010000020066.67%60000000000000
18Anthony AngelloAmericans (BUF)C/LW/RW7000-3602018134100%111416.3600001000040050.00%120000000000000
19Chase PriskieAmericans (BUF)D7000-2802343000%1113819.750000000002000%00000000000000
Statistiques d’équipe totales ou en moyenne127234568-11715175176264611858.71%64214916.92611177623412361853054.55%68200010.6300010323
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
1Malcolm SubbanAmericans (BUF)73310.8953.7138800242280000070011
2Carter GeorgeAmericans (BUF)10000.9641.2050001280000007000
Statistiques d’équipe totales ou en moyenne83310.9023.434380025256000077011


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/AYesNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Anthony AngelloAmericans (BUF)C/LW/RW301996-03-06USANo210 Lbs196 CMNoNoN/AYesNo1FalseFalsePro & 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/AYesNo1FalseFalsePro & 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 AgentYesNo32025-07-23FalseFalsePro & 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
Jimmy SchuldtAmericans (BUF)D311995-05-11USANo203 Lbs185 CMNoNoN/AYesNo1FalseFalsePro & 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/AYesNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Malcolm SubbanAmericans (BUF)G321993-12-21CANNo215 Lbs188 CMNoNoN/AYesNo1FalseFalsePro & 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 AgentYesNo32025-07-23FalseFalsePro & 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 CMNoNoTrade2025-07-22YesNo2FalseFalsePro & 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
2227.00193 Lbs185 CM2.05953,364$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rem PitlickJonathan GrudenMatthew Highmore40122
2Anthony AngelloDylan GambrellShane Bowers30122
3Mitchell RussellLucas CondottaAlex Beaucage20122
4Lucas CondottaMark LiwiskiShane Bowers10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chase PriskieJordan Harris40122
2Jimmy SchuldtLleyton Moore30122
3Daniil MisyulJonathan Aspirot20122
4Jimmy SchuldtNikolas Matinpalo10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dylan GambrellLucas CondottaJonathan Gruden60122
2Mitchell RussellRem PitlickShane Bowers40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lleyton MooreJonathan Aspirot60122
2Jimmy SchuldtDaniil Misyul40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lucas CondottaJonathan Gruden60122
2Dylan GambrellMitchell Russell40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniil MisyulLleyton Moore60122
2Jimmy SchuldtJonathan Aspirot40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lucas Condotta60122Daniil MisyulLleyton Moore60122
2Rem Pitlick40122Jimmy SchuldtJonathan Aspirot40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lucas CondottaMitchell Russell60122
2Dylan GambrellJonathan Gruden40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lleyton MooreJonathan Aspirot60122
2Jimmy SchuldtDaniil Misyul40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew HighmoreLucas CondottaRem PitlickJimmy SchuldtLleyton Moore
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew HighmoreLucas CondottaRem PitlickJimmy SchuldtLleyton 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, Rem Pitlick, 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
1Senators734000002325-23210000011101413000001215-360.4292345680095812647987926256647117528621.43%27677.78%116027857.55%14728252.13%6512253.28%178126169529246
Total734000002325-23210000011101413000001215-360.4292345680095812647987926256647117528621.43%27677.78%116027857.55%14728252.13%6512253.28%178126169529246
_Since Last GM Reset734000002325-23210000011101413000001215-360.4292345680095812647987926256647117528621.43%27677.78%116027857.55%14728252.13%6512253.28%178126169529246
_Vs Conference734000002325-23210000011101413000001215-360.4292345680095812647987926256647117528621.43%27677.78%116027857.55%14728252.13%6512253.28%178126169529246
_Vs Division734000002325-23210000011101413000001215-360.4292345680095812647987926256647117528621.43%27677.78%116027857.55%14728252.13%6512253.28%178126169529246

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76OTL1234568264256647117500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400002325
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32100001110
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41300001215
Derniers 10 matchs
WLOTWOTL SOWSOL
330100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
28621.43%27677.78%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
79879269581
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
16027857.55%14728252.13%6512253.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
178126169529246


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
1 - 2026-04-202Americans1Senators2LSommaire du match
3 - 2026-04-2210Americans3Senators6LSommaire du match
5 - 2026-04-2418Senators5Americans3LSommaire du match
7 - 2026-04-2626Senators2Americans4WSommaire du match
9 - 2026-04-2834Americans4Senators2WSommaire du match
11 - 2026-04-3042Senators3Americans4WXSommaire du match
13 - 2026-05-0250Americans4Senators5LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance8,8685,995
Assistance PCT98.53%99.92%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 4954 - 99.09% 151,658$454,973$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,097,400$ 2,097,400$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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