Connexion

Rochester Americans
GP: 25 | W: 24 | L: 0 | OTL: 1 | P: 49
GF: 89 | GA: 16 | PP%: 18.82% | PK%: 93.22%
DG: Louis Sauvé | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #402 vs Henderson Silver Knights
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Centre de jeu
Wilkes-Barre/Scranton Penguins
19-3-2, 40pts
0
FINAL
1 Rochester Americans
24-0-1, 49pts
Team Stats
W1SéquenceW2
11-0-1Fiche domicile11-0-1
8-3-1Fiche domicile13-0-0
7-1-2Derniers 10 matchs9-0-1
4.04Buts par match 3.56
0.88Buts contre par match 0.64
16.13%Pourcentage en avantage numérique18.82%
93.65%Pourcentage en désavantage numérique93.22%
Laval Rocket
10-10-4, 24pts
0
FINAL
2 Rochester Americans
24-0-1, 49pts
Team Stats
W1SéquenceW2
6-5-2Fiche domicile11-0-1
4-5-2Fiche domicile13-0-0
5-2-3Derniers 10 matchs9-0-1
1.67Buts par match 3.56
2.25Buts contre par match 0.64
12.24%Pourcentage en avantage numérique18.82%
85.96%Pourcentage en désavantage numérique93.22%
Henderson Silver Knights
20-1-2, 42pts
Jour 60
Rochester Americans
24-0-1, 49pts
Statistiques d’équipe
W2SéquenceW2
11-1-1Fiche domicile11-0-1
9-0-1Fiche visiteur13-0-0
8-0-210 derniers matchs9-0-1
3.39Buts par match 3.56
0.39Buts contre par match 3.56
14.29%Pourcentage en avantage numérique18.82%
96.00%Pourcentage en désavantage numérique93.22%
Rochester Americans
24-0-1, 49pts
Jour 62
Cleveland Monsters
10-12-2, 22pts
Statistiques d’équipe
W2SéquenceL1
11-0-1Fiche domicile7-4-1
13-0-0Fiche visiteur3-8-1
9-0-110 derniers matchs4-6-0
3.56Buts par match 2.08
0.64Buts contre par match 2.08
18.82%Pourcentage en avantage numérique11.76%
93.22%Pourcentage en désavantage numérique85.71%
Manitoba Moose
8-14-2, 18pts
Jour 64
Rochester Americans
24-0-1, 49pts
Statistiques d’équipe
SOL1SéquenceW2
5-7-1Fiche domicile11-0-1
3-7-1Fiche visiteur13-0-0
5-4-110 derniers matchs9-0-1
2.33Buts par match 3.56
4.04Buts contre par match 3.56
12.90%Pourcentage en avantage numérique18.82%
84.85%Pourcentage en désavantage numérique93.22%
Meneurs d'équipe
Buts
Jansen Harkins
15
Passes
Ronnie Attard
25
Points
Ronnie Attard
30
Plus/Moins
Tyler Benson
37
Victoires
Brandon Bussi
17
Pourcentage d’arrêts
Brandon Bussi
0.938

Statistiques d’équipe
Buts pour
89
3.56 GFG
Tirs pour
651
26.04 Avg
Pourcentage en avantage numérique
18.8%
16 GF
Début de zone offensive
45.9%
Buts contre
16
0.64 GAA
Tirs contre
274
10.96 Avg
Pourcentage en désavantage numérique
93.2%%
4 GA
Début de la zone défensive
29.4%
Informations de l'équipe

Directeur généralLouis Sauvé
DivisionNORTHEAST
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,974
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure21
Limite contact 39 / 250
Espoirs48


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
1Ryan SpoonerXXX100.004035404035809040204040403025251150003211,199,999$
2Laurent DauphinX100.00403540673580904020404040306870115000291750,000$
3Tyler BensonX100.00633887607276785965635758626668735000261832,500$
4Jansen Harkins (R)X100.00734182668079836371646562636769615000274875,000$
5Fredrik Karlstrom (R)X100.00693893568380835764585963566668605000264775,000$
6Caedan Bankier (R)X100.00703986617985695862566057596163645000212867,500$
7Carl Berglund (R)X100.00733895578273625463565358556466435000244950,000$
8Fedor Svechkov (R)X100.00633790647281706271636165626163835000213925,000$
9Roland McKeown (R)X100.00663975597679855630585561476870595000284775,000$
10Cam Dineen (R)X100.00613792627080845830635456476668635000264775,000$
11Lassi ThomsonX100.00653878637277836230605759476466815000243832,000$
12Ronnie AttardX100.00744179638586846230645868506567635000251842,500$
13David Reinbacher (R)X100.00764089598563615630585763486062905000193950,000$
14Dmitry Kuzmin (R)X100.00593790566866625530545351456163655000212867,500$
15Jack Matier (R)X100.00844095559366615330545059456163595000212855,000$
Rayé
MOYENNE D’ÉQUIPE100.0065388159727776564357555750626359500
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
1Mads Sogaard100.0061998195626666666755776471745000232925,000$
2Brandon Bussi (R)100.0058958091596061606151786675425000264775,000$
Rayé
1Christopher Gibson100.00409080504040404040404073851150003121,000,000$
MOYENNE D’ÉQUIPE100.005395807954555655564965687742500
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
1Ronnie AttardRochester Americans (BUF)D255253028100352937183013.51%1760124.073472376011051100%000001.0000000055
2Fedor SvechkovRochester Americans (BUF)C2592029204023499927859.09%660524.2125715670002362075.93%32400000.9602000420
3Jansen HarkinsRochester Americans (BUF)C2515132823415415598368915.31%159323.7323513691011448081.68%39300000.9402001412
4Caedan BankierRochester Americans (BUF)C25148223140353869183920.29%148719.501013360001204077.68%22400010.9012000322
5Fredrik KarlstromRochester Americans (BUF)C259122118120292761215514.75%258423.391347680000232080.00%17000000.7222000312
6Tyler BensonRochester Americans (BUF)LW251010203700232557196017.54%158723.500113641011301276.92%2600000.6802000332
7Cam DineenRochester Americans (BUF)D2551419174012182781418.52%552420.98235972000049200%000000.7200000021
8Roland McKeownRochester Americans (BUF)D25513181780561530112116.67%2152320.952462172000047000%000000.6900000112
9Justin BrazeauBuffalo SabresRW1341317152023206615446.06%131924.5612312330113280077.94%6800001.0600000133
10Lassi ThomsonRochester Americans (BUF)D252141621401315248158.33%450320.142461475011153000%000000.6400000002
11David ReinbacherRochester Americans (BUF)D25461015801581141736.36%738415.3800001000013110%000000.5200000111
12Carl BerglundRochester Americans (BUF)C252571660208438284.65%033813.53011117000021085.71%4200000.4100000010
13Jack MatierRochester Americans (BUF)D252571620032683225.00%837815.130000500001010%000000.3700000100
14Dmitry KuzminRochester Americans (BUF)D251348403265516.67%01867.470110600008000%000000.4300000000
15Ryan SpoonerRochester Americans (BUF)C/LW/RW25101168018982312.50%050820.350001750000231051.06%4700000.0400000001
16Laurent DauphinRochester Americans (BUF)C25011580467040%027811.13000118000070062.07%5800000.0700000000
Statistiques d’équipe totales ou en moyenne38888162250303143538233065120351113.52%74740519.09163147123758235944123477.37%135200010.68310001212223
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
1Brandon BussiRochester Americans (BUF)1817010.9380.66109009121940000.70010187111
2Mads SogaardRochester Americans (BUF)77000.9630.434200538000000718111
Statistiques d’équipe totales ou en moyenne2524010.9450.60151001415274000102525222


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
Brandon BussiRochester Americans (BUF)G261998-06-25USAYes209 Lbs6 ft5NoNoN/ANoNo42024-05-19FalseFalsePro & Farm775,000$543,299$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Caedan BankierRochester Americans (BUF)C212003-01-26CANYes192 Lbs6 ft2NoNoAssign ManuallyNoNo22024-09-14FalseFalsePro & Farm867,500$608,144$0$0$No867,500$--------600,000$--------No--------Lien
Cam DineenRochester Americans (BUF)D261998-06-19USAYes188 Lbs5 ft11NoNoN/ANoNo42024-05-19FalseFalsePro & Farm775,000$543,299$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Carl BerglundRochester Americans (BUF)C242000-01-16SWEYes207 Lbs6 ft2NoNoAssign ManuallyNoNo42024-09-14FalseFalsePro & Farm950,000$665,979$0$0$No950,000$950,000$950,000$------600,000$600,000$600,000$------NoNoNo------Lien
Christopher GibsonRochester Americans (BUF)G311992-12-27FINNo217 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$701,031$0$0$No1,000,000$--------600,000$--------No--------Lien
David ReinbacherRochester Americans (BUF)D192004-10-25AUTYes209 Lbs6 ft3NoNoAssign ManuallyNoNo32024-08-20FalseFalsePro & Farm950,000$665,979$0$0$No950,000$950,000$-------600,000$600,000$-------NoNo-------Lien
Dmitry KuzminRochester Americans (BUF)D212003-04-23BLRYes188 Lbs5 ft10NoNoAssign ManuallyNoNo22024-08-20FalseFalsePro & Farm867,500$608,144$0$0$No867,500$--------600,000$--------No--------Lien
Fedor SvechkovRochester Americans (BUF)C212003-04-05RUSYes187 Lbs6 ft0NoNoAssign ManuallyNoNo32024-08-20FalseFalsePro & Farm925,000$648,454$0$0$No925,000$925,000$-------600,000$600,000$-------NoNo-------Lien
Fredrik KarlstromRochester Americans (BUF)C261998-01-12SWEYes200 Lbs6 ft3NoNoAssign ManuallyNoNo42024-09-14FalseFalsePro & Farm775,000$543,299$0$0$No775,000$775,000$775,000$------600,000$600,000$600,000$------NoNoNo------Lien
Jack MatierRochester Americans (BUF)D212003-04-08CANYes205 Lbs6 ft6NoNoAssign ManuallyNoNo22024-08-20FalseFalsePro & Farm855,000$599,381$0$0$No855,000$--------600,000$--------No--------Lien
Jansen HarkinsRochester Americans (BUF)C271997-05-23CANYes197 Lbs6 ft2NoNoAssign ManuallyNoNo42024-09-14FalseFalsePro & Farm875,000$613,402$0$0$No875,000$875,000$875,000$------702,020$702,020$702,020$------NoNoNo------Lien
Lassi ThomsonRochester Americans (BUF)D242000-09-24FINNo190 Lbs6 ft0NoNoN/ANoNo32024-05-19FalseFalsePro & Farm832,000$583,258$0$0$No832,000$832,000$-------832,000$832,000$-------NoNo-------Lien
Laurent DauphinRochester Americans (BUF)C291995-03-27CANNo186 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$525,773$0$0$No---------------------------Lien
Mads SogaardRochester Americans (BUF)G232000-12-13DNKNo196 Lbs6 ft7NoNoN/ANoNo22024-05-19FalseFalsePro & Farm925,000$648,454$0$0$No925,000$--------925,000$--------No--------Lien
Roland McKeownRochester Americans (BUF)D281996-01-20CANYes195 Lbs6 ft1NoNoAssign ManuallyNoNo42024-09-14FalseFalsePro & Farm775,000$543,299$0$0$No775,000$775,000$775,000$------702,020$702,020$702,020$------NoNoNo------Lien
Ronnie AttardRochester Americans (BUF)D251999-03-20USANo208 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm842,500$590,619$0$0$No---------------------------Lien
Ryan SpoonerRochester Americans (BUF)C/LW/RW321992-01-30CANNo184 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,199,999$841,236$0$0$No---------------------------Lien
Tyler BensonRochester Americans (BUF)LW261998-03-15CANNo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm832,500$583,608$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1825.00197 Lbs6 ft22.61876,222$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler BensonJansen HarkinsRyan Spooner38122
2Fredrik KarlstromFedor SvechkovCaedan Bankier30122
3Jansen HarkinsFredrik KarlstromFedor Svechkov22122
4Tyler BensonCaedan BankierCarl Berglund10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ronnie AttardLassi Thomson38122
2Roland McKeownCam Dineen30122
3Jack MatierDavid Reinbacher22122
4Dmitry KuzminRonnie Attard10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler BensonJansen HarkinsRyan Spooner60122
2Fredrik KarlstromFedor SvechkovCaedan Bankier40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ronnie AttardLassi Thomson60122
2Roland McKeownCam Dineen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jansen HarkinsFedor Svechkov60122
2Fredrik KarlstromTyler Benson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ronnie AttardLassi Thomson60122
2Roland McKeownCam Dineen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jansen Harkins60122Ronnie AttardLassi Thomson60122
2Fedor Svechkov40122Roland McKeownCam Dineen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jansen HarkinsFedor Svechkov60122
2Fredrik KarlstromTyler Benson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ronnie AttardLassi Thomson60122
2Roland McKeownCam Dineen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler BensonJansen HarkinsRyan SpoonerRonnie AttardLassi Thomson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler BensonJansen HarkinsRyan SpoonerRonnie AttardLassi Thomson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Laurent Dauphin, Carl Berglund, Ryan SpoonerLaurent Dauphin, Carl BerglundRyan Spooner
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Matier, David Reinbacher, Dmitry KuzminJack MatierDavid Reinbacher, Dmitry Kuzmin
Tirs de pénalité
Jansen Harkins, Fedor Svechkov, Fredrik Karlstrom, Tyler Benson, Caedan Bankier
Gardien
#1 : Brandon Bussi, #2 : Mads Sogaard


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
1Belleville Senators22000000927000000000002200000092741.000916250138321836720124419917253828400.00%40100.00%050662181.48%29539874.12%24533373.57%914727322115272171
2Coachella Valley Firebirds11000000303110000003030000000000021.0003580138321832720124419917169812500.00%30100.00%050662181.48%29539874.12%24533373.57%914727322115272171
3Colorado Eagles11000000211000000000001100000021121.00023500383218323201244199171140143133.33%000%050662181.48%29539874.12%24533373.57%914727322115272171
4Grand Rapids Griffins22000000826220000008260000000000041.0008152301383218359201244199172861640400.00%8275.00%050662181.48%29539874.12%24533373.57%914727322115272171
5Iowa Wild210000014311000000123-11100000020230.75047110138321832620124419917278123811218.18%5180.00%050662181.48%29539874.12%24533373.57%914727322115272171
6Laval Rocket4300001011011320000104041100000070781.00011203104383218311120124419917317245818422.22%100100.00%050662181.48%29539874.12%24533373.57%914727322115272171
7Manitoba Moose11000000413110000004130000000000021.0004812003832183342012441991770217200.00%10100.00%050662181.48%29539874.12%24533373.57%914727322115272171
8Milwaukee Admirals11000000303000000000001100000030321.0003580138321832520124419917620152150.00%000%050662181.48%29539874.12%24533373.57%914727322115272171
9Providence Bruins440000002051511000000615330000001441081.00020355500383218310520124419917591232529222.22%150100.00%250662181.48%29539874.12%24533373.57%914727322115272171
10Rockford IceHogs22000000716000000000002200000071641.00071320013832183572012441991717623356233.33%40100.00%050662181.48%29539874.12%24533373.57%914727322115272171
11Syracuse Crunch11000000505110000005050000000000021.00051015013832183402012441991754475240.00%20100.00%050662181.48%29539874.12%24533373.57%914727322115272171
12Texas Stars11000000101110000001010000000000021.0001230138321831120124419917714141000.00%20100.00%050662181.48%29539874.12%24533373.57%914727322115272171
13Toronto Marlies220000001111000000000000220000001111041.000112132013832183562012441991721710344250.00%5180.00%050662181.48%29539874.12%24533373.57%914727322115272171
14Wilkes-Barre/Scranton Penguins11000000101110000001010000000000021.0001230138321831020124419917145018200.00%000%050662181.48%29539874.12%24533373.57%914727322115272171
Total2523000011891673121000001134727131300000055946490.9808916225101438321836512012441991727474143382851618.82%59493.22%250662181.48%29539874.12%24533373.57%914727322115272171
_Since Last GM Reset2523000011891673121000001134727131300000055946490.9808916225101438321836512012441991727474143382851618.82%59493.22%250662181.48%29539874.12%24533373.57%914727322115272171
_Vs Conference15140000106195276000010202188800000041734301.00061112173083832183423201244199171623880214441022.73%37197.30%250662181.48%29539874.12%24533373.57%914727322115272171
_Vs Division11100001010113000010101080000000002412.0001230138321831020124419917145018200.00%000%050662181.48%29539874.12%24533373.57%914727322115272171

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2549W28916225165127474143382014
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2523000118916
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
121000011347
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
131300000559
Derniers 10 matchs
WLOTWOTL SOWSOL
800011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
851618.82%59493.22%2
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
201244199173832183
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
50662181.48%29539874.12%24533373.57%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
914727322115272171


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
27Rochester Americans2Rockford IceHogs1WSommaire du match
514Rochester Americans7Laval Rocket0WSommaire du match
731Laval Rocket0Rochester Americans1WSommaire du match
1051Coachella Valley Firebirds0Rochester Americans3WSommaire du match
1163Rochester Americans2Iowa Wild0WSommaire du match
1483Rochester Americans5Toronto Marlies0WSommaire du match
1587Rochester Americans3Milwaukee Admirals0WSommaire du match
1799Syracuse Crunch0Rochester Americans5WSommaire du match
19116Rochester Americans5Belleville Senators0WSommaire du match
21127Manitoba Moose1Rochester Americans4WSommaire du match
24150Providence Bruins1Rochester Americans6WSommaire du match
25159Rochester Americans4Providence Bruins1WSommaire du match
28180Rochester Americans4Belleville Senators2WSommaire du match
29190Grand Rapids Griffins2Rochester Americans4WSommaire du match
31210Rochester Americans5Rockford IceHogs0WSommaire du match
33223Rochester Americans6Providence Bruins2WSommaire du match
35231Grand Rapids Griffins0Rochester Americans4WSommaire du match
38252Rochester Americans6Toronto Marlies1WSommaire du match
39263Texas Stars0Rochester Americans1WSommaire du match
42284Laval Rocket0Rochester Americans1WXXSommaire du match
44303Rochester Americans4Providence Bruins1WSommaire du match
46315Rochester Americans2Colorado Eagles1WSommaire du match
47326Iowa Wild3Rochester Americans2LXXSommaire du match
50349Wilkes-Barre/Scranton Penguins0Rochester Americans1WSommaire du match
55380Laval Rocket0Rochester Americans2WSommaire du match
60402Henderson Silver Knights-Rochester Americans-
62422Rochester Americans-Cleveland Monsters-
64435Manitoba Moose-Rochester Americans-
67456Rochester Americans-San Jose Barracuda-
68467Springfield Thunderbirds-Rochester Americans-
73492Chicago Wolves-Rochester Americans-
75508Rochester Americans-Chicago Wolves-
78524Rochester Americans-Milwaukee Admirals-
80533Calgary Wranglers-Rochester Americans-
87557Charlotte Checkers-Rochester Americans-
89575Rochester Americans-LeHigh Valley Phantoms-
90589Providence Bruins-Rochester Americans-
93606Rochester Americans-Bridgeport Islanders-
94621Rochester Americans-Milwaukee Admirals-
96630Hershey Bears-Rochester Americans-
99651Abbotsford Canucks-Rochester Americans-
100665Rochester Americans-Charlotte Checkers-
103685Syracuse Crunch-Rochester Americans-
104697Rochester Americans-Tucson Roadrunners-
106709Rochester Americans-Iowa Wild-
108724Rochester Americans-Hartford Wolf Pack-
110740Bakersfield Condors-Rochester Americans-
112756Utica Comets-Rochester Americans-
115775Rochester Americans-Iowa Wild-
116788Rochester Americans-Belleville Senators-
118800Wilkes-Barre/Scranton Penguins-Rochester Americans-
122821Hartford Wolf Pack-Rochester Americans-
125839Rochester Americans-Rockford IceHogs-
127852LeHigh Valley Phantoms-Rochester Americans-
129872Rochester Americans-Utica Comets-
143882Belleville Senators-Rochester Americans-
146899Rochester Americans-Hershey Bears-
148916Bridgeport Islanders-Rochester Americans-
149929Rochester Americans-Manitoba Moose-
151948Tucson Roadrunners-Rochester Americans-
155969Rochester Americans-Syracuse Crunch-
157979Ontario Reign-Rochester Americans-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
158990Rochester Americans-San Diego Gulls-
1631010Utica Comets-Rochester Americans-
1701036Coachella Valley Firebirds-Rochester Americans-
1721052Rochester Americans-Wilkes-Barre/Scranton Penguins-
1731060Rochester Americans-Laval Rocket-
1751074Rochester Americans-Wilkes-Barre/Scranton Penguins-
1771082Belleville Senators-Rochester Americans-
1831112Toronto Marlies-Rochester Americans-
1841121Rochester Americans-Laval Rocket-
1921146Toronto Marlies-Rochester Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets237
Assistance23,69312,000
Assistance PCT98.72%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
24 2974 - 99.15% 61,846$742,149$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
482,712$ 1,577,200$ 1,191,104$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,130$ 482,712$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,484,298$ 136 8,130$ 1,105,680$




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