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Connexion

Rochester Americans
GP: 16 | W: 10 | L: 6
GF: 57 | GA: 49 | PP%: 22.95% | PK%: 85.71%
DG: Hugo Ste-Marie | Morale : 40 | Moyenne d’équipe : 65

Centre de jeu
Hartford Wolf Pack
13-4-0, 26pts
2
1 Rochester Americans
10-6-0, 20pts
Team Stats
L1SéquenceL2
6-2-0Fiche domicile5-3-0
7-2-0Fiche domicile5-3-0
7-2-1Derniers 10 matchs6-4-0
4.06Buts par match 3.56
2.35Buts contre par match 3.06
17.19%Pourcentage en avantage numérique22.95%
84.31%Pourcentage en désavantage numérique85.71%
Rochester Americans
10-6-0, 20pts
2
4 Hartford Wolf Pack
13-4-0, 26pts
Team Stats
L2SéquenceL1
5-3-0Fiche domicile6-2-0
5-3-0Fiche domicile7-2-0
6-4-0Derniers 10 matchs7-2-1
3.56Buts par match 4.06
3.06Buts contre par match 2.35
22.95%Pourcentage en avantage numérique17.19%
85.71%Pourcentage en désavantage numérique84.31%
Meneurs d'équipe
Jesper BoqvistButs
Jesper Boqvist
7
Jesper BoqvistPasses
Jesper Boqvist
16
Jesper BoqvistPoints
Jesper Boqvist
23
Rem PitlickPlus/Moins
Rem Pitlick
10
Calvin PickardVictoires
Calvin Pickard
10
Calvin PickardPourcentage d’arrêts
Calvin Pickard
0.921

Statistiques d’équipe
Buts pour
57
3.56 GFG
Tirs pour
550
34.38 Avg
Pourcentage en avantage numérique
23.0%
14 GF
Début de zone offensive
41.0%
Buts contre
49
3.06 GAA
Tirs contre
557
34.81 Avg
Pourcentage en désavantage numérique
85.7%%
6 GA
Début de la zone défensive
41.7%
Informations de l'équipe

Directeur généralHugo Ste-Marie
DivisionNord
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure19
Limite Contrat38 / 250
Espoirs35


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
1Jesper BoqvistX100.007637946875809066716364676970716540670251775,000$
2Jiri KulichXXX100.006537897375858367716269656861648040660203886,666$
3Patrick BrownX100.008138906381868362726458675973772640660321800,000$
4Walker DuehrX100.007538946682757965616364626568703640660261825,000$
5Alex BelzileX100.006544636674948465716761636474762340650332775,000$
6Kyle MacLeanX100.007240896476779063736260656166684240650253775,000$
7Sam MortonX100.007637926571867564616263606466674240650251870,000$
8Samuel FagemoX100.006437856574898364586166636765686940650241775,000$
9Phillip Di GiuseppeX100.007540836773857763586260696474724640650301775,000$
10Rem PitlickX100.006137886770787664736562636168705440640271750,000$
11Nikita Grebenkin (R)X100.007241756482757063576058566163645740620212875,000$
12Brendan LemieuxX100.007874535880776757545659555871706340610281750,000$
13Xavier BourgaultX100.0060379059698382565958575556636581406002111,167,500$
14Ryker EvansX100.007340826973888568307360645265667440660221925,000$
15Jacob Bernard-DockerX100.006741886577838164307059755265677740660241805,000$
16Lucas CarlssonX100.006239746572898063306760685169675040640272800,000$
17Ville HeinolaX100.006139846371827164306358605064668040620232800,000$
18Aaron NessX100.005838855567638254305653544575803940600341750,000$
Rayé
MOYENNE D’ÉQUIPE100.00694183657582806355636163596869564064
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
1Calvin Pickard100.008883787987868887868887758750407403221,000,000$
Rayé
MOYENNE D’ÉQUIPE100.0088837879878688878688877587504074
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Jesper BoqvistRochester Americans (BUF)C16716232100395369214910.14%638524.0815615550000361052.09%40700001.1900000111
2Jacob Bernard-DockerRochester Americans (BUF)D16715226100504249173514.29%3641025.652462758000132210%000001.0700000330
3Patrick BrownRochester Americans (BUF)C162121416029454121374.88%430218.921344460001200055.50%38200000.9200000010
4Samuel FagemoRochester Americans (BUF)LW167613620192554193212.96%1640625.412241346000011056.52%2300000.6400000100
5Rem PitlickRochester Americans (BUF)C164812100010123192912.90%220112.5800001000040158.57%7000001.1900000000
6Alex BelzileRochester Americans (BUF)RW1647113321022135016498.00%225916.212351244000001050.00%2600000.8500011011
7Walker DuehrRochester Americans (BUF)RW166511040242745112313.33%224315.2021320550003420130.77%1300000.9000000002
8Lucas CarlssonRochester Americans (BUF)D16281001553122348185.88%2334121.312351741000028100%000000.5900001200
9Kyle MacLeanRochester Americans (BUF)C163710-7100343228102310.71%2229518.4600000000001051.56%12800000.6800000100
10Ville HeinolaRochester Americans (BUF)D164591802519262915.38%3134421.562351341000029100%000000.5200000102
11Sam MortonRochester Americans (BUF)C16448-420164137134010.81%329418.4100000000000043.58%33500000.5400000002
12Phillip Di GiuseppeRochester Americans (BUF)LW16358-42011244418436.82%329018.14000000000142033.33%4200000.5500000020
13Nikita GrebenkinRochester Americans (BUF)RW16437-58021183582611.43%526516.5900000000000160.87%2300000.5300000100
14Aaron NessRochester Americans (BUF)D16000-5001327220%921313.370000100015000%00000000000000
Statistiques d’équipe totales ou en moyenne2245710115841091534437555017541510.36%164425418.99142438121392000621710450.72%144900000.74000121088
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
1Calvin PickardRochester Americans (BUF)1610400.9212.72906204152002100160022
Statistiques d’équipe totales ou en moyenne1610400.9212.7290620415200210160022


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Aaron NessRochester Americans (BUF)D341990-05-18USANo184 Lbs5 ft10NoNoN/ANoNo12025-07-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Alex BelzileRochester Americans (BUF)RW331991-08-31CANNo196 Lbs6 ft0NoNoN/ANoNo22024-07-27FalseFalsePro & Farm775,000$0$0$No775,000$-----------------No--------Lien / Lien NHL
Brendan LemieuxRochester Americans (BUF)LW281996-03-15CANNo215 Lbs6 ft1NoNoN/ANoNo12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Calvin PickardRochester Americans (BUF)G321992-04-15CANNo206 Lbs6 ft1NoNoTrade2025-09-02NoNo22025-07-16FalseFalsePro & Farm1,000,000$0$0$No1,000,000$-----------------No--------Lien / Lien NHL
Jacob Bernard-DockerRochester Americans (BUF)D242000-06-30CANNo198 Lbs6 ft1NoNoN/ANoNo12024-07-27FalseFalsePro & Farm805,000$0$0$No---------------------------Lien / Lien NHL
Jesper BoqvistRochester Americans (BUF)C251998-10-30SWENo190 Lbs6 ft1NoNoN/ANoNo12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Jiri KulichRochester Americans (BUF)C/LW/RW202004-04-14CZENo190 Lbs6 ft1NoNoN/ANoNo32025-07-16FalseFalsePro & Farm886,666$0$0$No886,666$886,666$----------------NoNo-------Lien / Lien NHL
Kyle MacLeanRochester Americans (BUF)C251999-04-29USANo194 Lbs6 ft1NoNoAssign ManuallyNoNo32025-07-16FalseFalsePro & Farm775,000$0$0$No775,000$775,000$----------------NoNo-------Lien / Lien NHL
Lucas CarlssonRochester Americans (BUF)D271997-07-05SWENo190 Lbs6 ft0NoNoN/ANoNo22025-07-16FalseFalsePro & Farm800,000$0$0$No800,000$-----------------No--------Lien / Lien NHL
Nikita GrebenkinRochester Americans (BUF)RW212003-05-02RUSYes210 Lbs6 ft2NoNoProspectNoNo22025-07-16FalseFalsePro & Farm875,000$0$0$No875,000$-----------------No--------Lien / Lien NHL
Patrick BrownRochester Americans (BUF)C321992-05-29USANo218 Lbs6 ft1NoNoN/ANoNo12025-07-16FalseFalsePro & Farm800,000$0$0$No---------------------------Lien / Lien NHL
Phillip Di GiuseppeRochester Americans (BUF)LW301993-10-09CANNo193 Lbs6 ft0NoNoDraftNoNo12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Rem PitlickRochester Americans (BUF)C271997-04-02USANo186 Lbs5 ft11NoNoN/ANoNo12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Ryker EvansRochester Americans (BUF)D222001-12-13CANNo195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Sam MortonRochester Americans (BUF)C251999-07-28USANo185 Lbs6 ft0NoNoAssign ManuallyNoNo12025-07-16FalseFalsePro & Farm870,000$0$0$No---------------------------Lien / Lien NHL
Samuel FagemoRochester Americans (BUF)LW242000-03-14SWENo200 Lbs6 ft0NoNoN/ANoNo12024-07-27FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Ville HeinolaRochester Americans (BUF)D232001-03-02FINNo181 Lbs6 ft0NoNoN/ANoNo22025-07-16FalseFalsePro & Farm800,000$0$0$No800,000$-----------------No--------Lien / Lien NHL
Walker DuehrRochester Americans (BUF)RW261997-11-23USANo210 Lbs6 ft2NoNoN/ANoNo12025-07-16FalseFalsePro & Farm825,000$0$0$No---------------------------Lien / Lien NHL
Xavier BourgaultRochester Americans (BUF)RW212002-10-22CANNo172 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,167,500$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1926.26195 Lbs6 ft01.47835,746$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jesper BoqvistWalker Duehr30122
2Samuel FagemoPatrick BrownAlex Belzile30122
3Phillip Di GiuseppeSam MortonNikita Grebenkin20122
4Kyle MacLeanJesper Boqvist20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-Docker30122
2Lucas CarlssonVille Heinola30122
3Aaron NessKyle MacLean20122
4Jacob Bernard-Docker20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jesper BoqvistWalker Duehr60122
2Samuel FagemoPatrick BrownAlex Belzile40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-Docker60122
2Lucas CarlssonVille Heinola40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jesper BoqvistWalker Duehr60122
2Patrick Brown40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-Docker60122
2Lucas CarlssonVille Heinola40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jesper Boqvist60122Jacob Bernard-Docker60122
2Walker Duehr40122Lucas CarlssonVille Heinola40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jesper BoqvistWalker Duehr60122
2Patrick Brown40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-Docker60122
2Lucas CarlssonVille Heinola40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jesper BoqvistWalker DuehrJacob Bernard-Docker
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jesper BoqvistWalker DuehrJacob Bernard-Docker
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rem Pitlick, Sam Morton, Phillip Di GiuseppeRem Pitlick, Sam MortonPhillip Di Giuseppe
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Aaron Ness, Lucas Carlsson, Ville HeinolaAaron NessLucas Carlsson, Ville Heinola
Tirs de pénalité
Jesper Boqvist, Walker Duehr, Patrick Brown, , Alex Belzile
Gardien
#1 : Calvin Pickard, #2 :


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
TotalDomicile Visiteur
# 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 RI
1Hartford Wolf Pack624000001421-731200000813-53120000068-240.33314223600161821221119417117510221685812818316.67%19384.21%028860247.84%30361349.43%14425556.47%387271377118204103
2Laval Rocket440000001477220000007432200000073481.0001428420016182121451941711751012836188913323.08%9366.67%028860247.84%30361349.43%14425556.47%387271377118204103
3Toronto Marlies6420000029218321000001914532100000107380.66729518010161821219419417117510208613512730826.67%140100.00%028860247.84%30361349.43%14425556.47%387271377118204103
Total16106000005749885300000343138530000023185200.6255710115810161821255019417117510557165111344611422.95%42685.71%028860247.84%30361349.43%14425556.47%387271377118204103
_Since Last GM Reset16106000005749885300000343138530000023185200.6255710115810161821255019417117510557165111344611422.95%42685.71%028860247.84%30361349.43%14425556.47%387271377118204103
_Vs Conference16106000005749885300000343138530000023185200.6255710115810161821255019417117510557165111344611422.95%42685.71%028860247.84%30361349.43%14425556.47%387271377118204103
_Vs Division10820000043281554100000261885410000017107160.8004379122101618212339194171175103369753216431125.58%23386.96%028860247.84%30361349.43%14425556.47%387271377118204103

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1620L25710115855055716511134410
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1610600005749
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
85300003431
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
85300002318
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
611422.95%42685.71%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
194171175101618212
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
28860247.84%30361349.43%14425556.47%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
387271377118204103


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 - 2026-04-174Toronto Marlies4Rochester Americans5WSommaire du match
3 - 2026-04-1912Toronto Marlies3Rochester Americans8WSommaire du match
5 - 2026-04-2120Rochester Americans4Toronto Marlies2WSommaire du match
7 - 2026-04-2328Rochester Americans1Toronto Marlies3LSommaire du match
9 - 2026-04-2536Toronto Marlies7Rochester Americans6LSommaire du match
11 - 2026-04-2744Rochester Americans5Toronto Marlies2WSommaire du match
15 - 2026-05-0158Rochester Americans4Laval Rocket1WSommaire du match
17 - 2026-05-0362Rochester Americans3Laval Rocket2WSommaire du match
19 - 2026-05-0566Laval Rocket2Rochester Americans3WXSommaire du match
21 - 2026-05-0770Laval Rocket2Rochester Americans4WSommaire du match
29 - 2026-05-1585Hartford Wolf Pack2Rochester Americans3WSommaire du match
31 - 2026-05-1787Hartford Wolf Pack9Rochester Americans4LSommaire du match
33 - 2026-05-1989Rochester Americans1Hartford Wolf Pack2LSommaire du match
35 - 2026-05-2191Rochester Americans3Hartford Wolf Pack2WXSommaire du match
37 - 2026-05-2393Hartford Wolf Pack2Rochester Americans1LSommaire du match
39 - 2026-05-2595Rochester Americans2Hartford Wolf Pack4LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 7,939,583$ 7,939,583$ 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$ 5 0$ 0$




Rochester 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

Rochester 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

Rochester 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

Rochester 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

Rochester 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