Day : 200
PHI - 2
CAR - 6
Day : 201

Rochester Americans
GP: 82 | W: 44 | L: 33 | OTL: 5 | P: 93
GF: 306 | GA: 296 | PP%: 17.62% | PK%: 78.79%
DG: Benjamin Girouard | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Rochester Americans
44-33-5, 93pts
5
FINAL
6 Manitoba Moose
52-25-5, 109pts
Team Stats
L1SéquenceW5
25-13-3Fiche domicile27-11-3
19-20-2Fiche domicile25-14-2
4-5-1Derniers 10 matchs8-2-0
3.73Buts par match 4.24
3.61Buts contre par match 3.40
17.62%Pourcentage en avantage numérique23.16%
78.79%Pourcentage en désavantage numérique79.81%
Hamilton Bulldogs
50-20-12, 112pts
4
FINAL
2 Rochester Americans
44-33-5, 93pts
Team Stats
W3SéquenceL1
28-10-3Fiche domicile25-13-3
22-10-9Fiche domicile19-20-2
4-1-5Derniers 10 matchs4-5-1
3.37Buts par match 3.73
2.67Buts contre par match 3.61
20.98%Pourcentage en avantage numérique17.62%
84.01%Pourcentage en désavantage numérique78.79%
Meneurs d'équipe
Buts
Trevor Cox
29
Passes
Radim Zohorna
39
Points
Radim Zohorna
66
Plus/Moins
Evgeny Grachev
17
Victoires
Brendan Burke
33
Pourcentage d’arrêts
Mason McDonald
0.891

Statistiques d’équipe
Buts pour
306
3.73 GFG
Tirs pour
2607
31.79 Avg
Pourcentage en avantage numérique
17.6%
46 GF
Début de zone offensive
38.5%
Buts contre
296
3.61 GAA
Tirs contre
2549
31.09 Avg
Pourcentage en désavantage numérique
78.8%%
63 GA
Début de la zone défensive
35.6%
Informations de l'équipe

Directeur généralBenjamin Girouard
EntraîneurD.J. Smith
DivisionGionta
ConférenceFortunus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,999
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 50
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 moyen
1Dylan SikuraXXX100.00592397867186868073747369737878550002821,000,000$
2Evgeny GrachevXX100.0071439077877978808273736682999915000331700,000$
3Nazem KadriXXX100.00673599817879808378757665839999150003331,300,000$
4Trevor CoxXX100.00783589867481788077757466767979550002812,000,000$
5Malte StrömwallX100.00693583817982808071737469798480150002921,200,000$
6Sakari ManninenXX100.00653890836582788075737367828585150003121,500,000$
7Radim ZohornaXXX100.00763589818983828173757465787775650002721,500,000$
8Brock McGinnXX100.00894881828583808171727372748483150002931,250,000$
9Joe VelenoXX100.00733387848083818174757467736565750002311,300,000$
10Scott LaughtonXX100.00833882798384807976747370738181150002911,200,000$
11Samuel BlaisXX100.00863886808481818267737469757777650002731,800,000$
12Nathan BastianXX100.00904976788981788065737470737474650002631,200,000$
13Niko MikkolaX100.00824480758480817750726489617270650002731,900,000$
14Frédéric Allard (R)X100.00834081798283807950736687627373650002621,400,000$
15Lucas Carlsson (R)X100.00773882788184848050746886667271650002631,250,000$
16Timothy Liljegren (R)X100.00703082827683858252746583688176750002411,500,000$
17Ty Emberson (R)X100.0074358175817878765070638557667265000231800,000$
18Alexander Alexeyev (R)X100.00794083798685828150757184647471750002411,750,000$
Rayé
1Ryan LombergX100.009059718483767077657070677181795500N0292975,000$
2Buddy RobinsonX100.0085507677927880806273726479858170500N03221,100,000$
3Ivan Ivan (R)X100.0064308576717781757569686574616155000211800,000$
4Semyon Chistyakov (R)X100.0079448779808282755069628460757165000221850,000$
5Tyler Tucker (R)X100.0087487474848079785072648660706765000231800,000$
6Gregorio Gios (R)X100.0084408272847877725067608454717055000242900,000$
MOYENNE D’ÉQUIPE100.007840848081818079647370747178777500
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 moyen
1Mason McDonald100.0087828388918786878689856970850002711,100,000$
2Brendan Burke100.0087848485898989898789857883850002821,250,000$
Rayé
MOYENNE D’ÉQUIPE100.00878384879088888887898574778500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
D.J. Smith84868383778070CAN4732,000,000$


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
1Radim ZohornaRochester Americans (BUF)C/LW/RW82273966280100601737210815.61%17147017.93581339216426242755153.95%62110014010.9012000543
2Trevor CoxRochester Americans (BUF)C/LW82293362714098642126011813.68%11126115.381101135168000091252.43%49412318010.9800000246
3Scott LaughtonRochester Americans (BUF)C/LW82183755244012572137469013.14%35130215.883362092224111656054.49%4577321000.8400000133
4Joe VelenoRochester Americans (BUF)C/LW59153449860584117052948.82%1490615.362111330165000001154.26%949220011.0800000313
5Evgeny GrachevRochester Americans (BUF)C/LW82152944171205763129578511.63%13129015.74000757145121474154.23%9466811000.6811000132
6Alexander AlexeyevRochester Americans (BUF)D76133144844090125107516212.15%97154420.334913272080113148120.00%02368000.5700000303
7Dylan SikuraRochester Americans (BUF)C/LW/RW7517254262022371436011811.89%1098613.15000010001191151.22%4114614000.8500000213
8Samuel BlaisRochester Americans (BUF)LW/RW59192342112098431585011112.03%1089015.095611391461017594148.57%357912000.9400000031
9Malte StrömwallRochester Americans (BUF)RW6515223711005129110436713.64%1374411.46112512000011356.00%256213000.9900000023
10Lucas CarlssonRochester Americans (BUF)D821619351547591163106414415.09%100146717.895712121690116197120.00%01470000.4800000032
11Timothy LiljegrenRochester Americans (BUF)D8252530-2460661359032525.56%116159619.47257162320223223100.00%0478000.3800000002
12Buddy RobinsonRochester Americans (BUF)RW301019291212048961254116.39%643614.562131037000000150.00%14296001.3300000114
13Brock McGinnRochester Americans (BUF)LW/RW6082129-56751034610035858.00%22112318.721561513200071763044.69%3204817010.5201000301
14Nazem KadriRochester Americans (BUF)C/LW/RW30141428-520211884305216.67%249116.38931225880003152252.08%192356011.1400000310
15Niko MikkolaRochester Americans (BUF)D7712627-76201081699040481.11%119157520.46066241900221236000.00%0576000.3400000110
16Semyon ChistyakovRochester Americans (BUF)D703161916240531057329404.11%81117516.7900000000252100.00%0673000.3200000000
17Tyler TuckerRochester Americans (BUF)D76118199795941087029341.43%88115915.26000122000148000.00%0554000.3300000010
18Frédéric AllardRochester Americans (BUF)D6441115-12260781077242455.56%114120018.750008630005148000.00%01364000.2500000100
19Sakari ManninenRochester Americans (BUF)C/LW35851324052348232616.67%53339.5300000000000054.62%238274000.7800000011
20Ivan IvanRochester Americans (BUF)C6451610061732111715.63%22113.311125140002250051.41%142170000.5701000101
21Ty EmbersonRochester Americans (BUF)D49022016018452419140.00%5055411.3100000000010000.00%0128000.0700000000
22Gregorio GiosRochester Americans (BUF)D16011020121110750.00%1116110.070000000000000.00%003000.1201000000
23Owen TippettBuffalo SabresLW/RW5000-60070154130.00%410521.09000115000080040.00%1091000.0000000000
24Nathan BastianRochester Americans (BUF)C/RW8000-260601060.00%5668.330000000012100100.00%112000.0000000000
Statistiques d’équipe totales ou en moyenne14102434516946854515141514902215858137510.97%9452205615.644176117319203781422891991321752.81%3630980673050.6326000272938
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
1Brendan BurkeRochester Americans (BUF)65332550.8873.5336084021218741045200.83366516633
2Mason McDonaldRochester Americans (BUF)148400.8913.257570041375211200.00001219010
3Yaniv PeretsBuffalo Sabres143400.8604.485620142299164110.0000547120
Statistiques d’équipe totales ou en moyenne93443350.8843.59492841295254814205168282763


Nom du joueur POS Âge Date de naissance Termes Contrat Cap % Année 2023Année 2024Année 2025Année 2026Année 2027Année 2028Année 2029
Attaquant
Brock McGinnLW/RW291993-01-22 16:12:41TW 30.00%1,250,000$1,250,000$1,250,000$UFA [Age: 32]
Buddy RobinsonRW321990-01-02 13:21:49NT TW 20.00%1,100,000$1,100,000$UFA [Age: 34]
Dylan SikuraC/LW/RW281994-01-22 04:31:22TW 20.00%1,000,000$1,000,000$UFA [Age: 30]
Evgeny GrachevC/LW331989-01-22 12:29:38TW 10.00%700,000$UFA [Age: 34]
Ivan IvanC212001-01-02 05:22:38TW 10.00%800,000$RFA ( Groupe: 1 )[Age: 22]
Joe VelenoC/LW231999-01-22 05:36:41TW 10.00%1,300,000$RFA ( Groupe: 2 ) [Age: 24]
Malte StrömwallRW291993-01-02 01:05:41TW 20.00%1,200,000$1,200,000$UFA [Age: 31]
Nathan BastianC/RW261996-01-22 03:23:22TW 30.00%1,200,000$1,200,000$1,200,000$UFA [Age: 29]
Nazem KadriC/LW/RW331989-01-22 12:29:38TW 30.00%1,300,000$1,300,000$1,300,000$UFA [Age: 36]
Radim ZohornaC/LW/RW271995-01-02 13:16:51TW 20.00%1,500,000$1,500,000$UFA [Age: 29]
Ryan LombergLW291993-01-02 00:13:21NT TW 20.00%975,000$975,000$UFA [Age: 31]
Sakari ManninenC/LW311991-01-02 01:12:08TW 20.00%1,500,000$1,500,000$UFA [Age: 33]
Samuel BlaisLW/RW271995-01-22 10:25:21TW 30.00%1,800,000$1,800,000$1,800,000$UFA [Age: 30]
Scott LaughtonC/LW291993-01-22 08:09:57TW 10.00%1,200,000$UFA [Age: 30]
Trevor CoxC/LW281994-01-22 04:31:23TW 10.00%2,000,000$UFA [Age: 29]
MOYENNE (15)28.330.00%0$12,825,000$5,550,000$0$0$0$0$
Défenseur
Alexander AlexeyevD241998-01-02 09:24:08TW 10.00%1,750,000$RFA ( Groupe: 2 ) [Age: 25]
Frédéric AllardD261996-01-22 04:38:27TW 20.00%1,400,000$1,400,000$UFA [Age: 28]
Gregorio GiosD241998-01-22 00:21:35TW 20.00%900,000$900,000$RFA ( Groupe: 2 ) [Age: 26]
Lucas CarlssonD261996-01-02 09:09:59TW 30.00%1,250,000$1,250,000$1,250,000$UFA [Age: 29]
Niko MikkolaD271995-01-02 04:26:17TW 30.00%1,900,000$1,900,000$1,900,000$UFA [Age: 30]
Semyon ChistyakovD222000-01-02 02:08:47TW 10.00%850,000$RFA ( Groupe: 1 )[Age: 23]
Timothy LiljegrenD241998-01-02 15:35:23TW 10.00%1,500,000$RFA ( Groupe: 2 ) [Age: 25]
Ty EmbersonD231999-01-02 03:43:54TW 10.00%800,000$RFA ( Groupe: 2 ) [Age: 24]
Tyler TuckerD231999-01-02 03:36:38TW 10.00%800,000$RFA ( Groupe: 2 ) [Age: 24]
MOYENNE (9)24.330.00%0$5,450,000$3,150,000$0$0$0$0$
Gardiens
Brendan BurkeG281994-01-22 02:06:01TW 20.00%1,250,000$1,250,000$UFA [Age: 30]
Mason McDonaldG271995-01-22 14:42:23TW 10.00%1,100,000$UFA [Age: 28]

Légendes des Termes : FV = Ballotage forcé / NT = Non-échange / IN = Blessure / TW = Contract Deux Côté ('Can Play Pro' + 'Can Play Farm')

Note: Les montants de cap salarial pour l’année courant et le % de cap salariale sont basé sur un calcul du plafond salariale simple (Salaire Moyen ou Salaire de l’année selon vos options). Si votre plafond salarial est basé sur la calcul complexe, les résultats de cette analyse pourrait être légèrement incorrects. Le plafond salarial professionnel de l’année en cours est : 87,000,050$.




Attaque à 5 contre 5
Ligne # Ailier gauche Centre Ailier droit % temps PHY DF OF
1Trevor CoxJoe VelenoRadim Zohorna35014
2Scott LaughtonNazem KadriSamuel Blais30014
3Dylan SikuraEvgeny GrachevMalte Strömwall25023
4Nathan BastianSakari ManninenBrock McGinn10131
Défense à 5 contre 5
Ligne # Défense Défense % temps PHY DF OF
1Lucas CarlssonAlexander Alexeyev35023
2Timothy LiljegrenFrédéric Allard30023
3Niko MikkolaTy Emberson25131
4Timothy LiljegrenAlexander Alexeyev10014
Attaque en avantage numérique
Ligne # Ailier gauche Centre Ailier droit % temps PHY DF OF
1Samuel BlaisNazem KadriJoe Veleno60005
2Malte StrömwallTrevor CoxScott Laughton40005
Défense en avantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Radim ZohornaAlexander Alexeyev60005
2Evgeny GrachevTimothy Liljegren40005
Attaque à 4 en désavantage numérique
Ligne # Centre Ailier % temps PHY DF OF
1Scott LaughtonNathan Bastian60041
2Brock McGinnSamuel Blais40041
Défense à 4 en désavantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Frédéric AllardNiko Mikkola60041
2Ty EmbersonLucas Carlsson40041
3 joueurs en désavantage numérique
Ligne # Ailier % temps PHY DF OF Défense Défense % temps PHY DF OF
1Scott Laughton60050Frédéric AllardNiko Mikkola60140
2Brock McGinn40050Ty EmbersonLucas Carlsson40050
Attaque à 4 contre 4
Ligne # Centre Ailier % temps PHY DF OF
1Nazem KadriTrevor Cox50023
2Joe VelenoSamuel Blais50023
Défense à 4 contre 4
Ligne # Défense Défense % temps PHY DF OF
1Timothy LiljegrenAlexander Alexeyev50023
2Frédéric AllardLucas Carlsson50023
Attaque dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Joe VelenoNazem KadriRadim ZohornaTrevor CoxAlexander Alexeyev
Défense dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Scott LaughtonBrock McGinnNathan BastianFrédéric AllardNiko Mikkola
Attaquants supplémentaires
Normal Avantage numérique Désavantage numérique
Nazem Kadri, Joe Veleno, Samuel BlaisTrevor Cox, Joe VelenoNazem Kadri
Défenseurs supplémentaires
Normal Avantage numérique Désavantage numérique
Alexander Alexeyev, Timothy Liljegren, Lucas CarlssonAlexander AlexeyevFrédéric Allard, Lucas Carlsson
Tirs de pénalité
Nazem Kadri, Joe Veleno, Evgeny Grachev, Radim Zohorna, Trevor Cox
Gardien
#1 : Brendan Burke, #2 : Mason McDonald
Lignes d’attaque personnalisées en prolongation
Nazem Kadri, Joe Veleno, Radim Zohorna, Scott Laughton, Samuel Blais, Evgeny Grachev, Evgeny Grachev, Trevor Cox, Malte Strömwall, Brock McGinn, Dylan Sikura
Lignes de défense personnalisées en prolongation
Alexander Alexeyev, Timothy Liljegren, Lucas Carlsson, Frédéric Allard, Niko Mikkola


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
1Albany Devils33000000188101100000032122000000156961.00018274500121968459384191983518101472448400.00%120100.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
2Binghamton Senators1000010034-11000010034-10000000000010.50035800121968452684191983518295420000.00%20100.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
3Blainville-Boisbriand Armada11000000312110000003120000000000021.0003580012196845318419198351833162215360.00%10100.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
4Bridgeport Sound Tigers31200000718-1121100000612-61010000016-520.3337101700121968459784191983518933734566116.67%17382.35%0885167652.80%810154752.36%582112551.73%1884123218266471226614
5Charlotte Checkers523000001825-72110000067-1312000001218-640.400183351001219684516684191983518159572011119210.53%10460.00%1885167652.80%810154752.36%582112551.73%1884123218266471226614
6Chicago Wolves1000010023-1000000000001000010023-110.500246001219684529841919835182894266233.33%20100.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
7Chicoutimi Saguenéens1100000010461100000010460000000000021.00010192900121968453584191983518339615200.00%3166.67%0885167652.80%810154752.36%582112551.73%1884123218266471226614
8Chisinau Pelicans210001001513221000100151320000000000030.75015274200121968456584191983518722214288337.50%7357.14%2885167652.80%810154752.36%582112551.73%1884123218266471226614
9Connecticut Whale31200000718-111100000054120200000214-1220.33371320001219684579841919835181023447518225.00%16381.25%0885167652.80%810154752.36%582112551.73%1884123218266471226614
10Danbury Trashers321000001266110000005322110000073440.66712233500121968459884191983518902622678112.50%11281.82%0885167652.80%810154752.36%582112551.73%1884123218266471226614
11Gatineau Olympiques1010000036-3000000000001010000036-300.000369001219684532841919835183096245120.00%3166.67%0885167652.80%810154752.36%582112551.73%1884123218266471226614
12Grand Rapids Griffins3210000012102110000008352110000047-340.6671221330012196845105841919835188727205410330.00%10190.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
13Hamilton Bulldogs31200000810-21010000024-22110000066020.33381422001219684590841919835181034624659222.22%12283.33%1885167652.80%810154752.36%582112551.73%1884123218266471226614
14Henderson Silver Knights40400000616-1030300000512-71010000014-300.000612180012196845128841919835181314436771500.00%18572.22%0885167652.80%810154752.36%582112551.73%1884123218266471226614
15Houston Aeros4310000014104220000007252110000078-160.7501424380012196845131841919835181023125802015.00%11190.91%1885167652.80%810154752.36%582112551.73%1884123218266471226614
16Joliette Sportif21100000770000000000002110000077020.5007132000121968456384191983518671620357114.29%10370.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
17Lake Erie Monsters201000106601010000045-11000001021120.500681400121968455984191983518672710446233.33%5340.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
18Laval Chiefs11000000523000000000001100000052321.00059140012196845208419198351834131013000.00%5180.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
19Manitoba Moose4120010022211211000001293201001001012-230.37522365810121968451508419198351811251329018633.33%16568.75%0885167652.80%810154752.36%582112551.73%1884123218266471226614
20Mercer Island Hafgufa311010001315-221100000811-31000100054140.66713233600121968458884191983518983431597228.57%15660.00%1885167652.80%810154752.36%582112551.73%1884123218266471226614
21Milwaukee Admirals30300000918-90000000000030300000918-900.0009152400121968451078419198351810228324213430.77%16568.75%0885167652.80%810154752.36%582112551.73%1884123218266471226614
22Norfolk Admirals43100000211382200000013492110000089-160.75021305100121968451308419198351811751166110110.00%8275.00%1885167652.80%810154752.36%582112551.73%1884123218266471226614
23Nunavik Natturaliit20101000611-520101000611-50000000000020.5006101600121968456284191983518682216425120.00%9366.67%0885167652.80%810154752.36%582112551.73%1884123218266471226614
24Providence Bruins32100000972110000005322110000044040.667913220012196845858419198351892312668700.00%13284.62%2885167652.80%810154752.36%582112551.73%1884123218266471226614
25Roberval Dwarfs11000000808000000000001100000080821.0008132101121968453684191983518286621400.00%30100.00%1885167652.80%810154752.36%582112551.73%1884123218266471226614
26Rouyn-Noranda Huskies4210001011654210001011650000000000060.75011182900121968451308419198351811343399114214.29%13192.31%0885167652.80%810154752.36%582112551.73%1884123218266471226614
27San Antonio Rampage321000001192211000009811100000021140.66711193000121968457284191983518984020496116.67%100100.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
28Springfield Falcons330000001156110000003122200000084461.000111829001219684592841919835181005320687114.29%10280.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
29The Nuuk Vikings1010000014-31010000014-30000000000000.000123001219684535841919835182612817400.00%40100.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
30Trois-Rivières Lions11000000413110000004130000000000021.000471100121968453384191983518327818000.00%40100.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
31Verdun Junior321000001385110000006152110000077040.667132538001219684510184191983518823322829222.22%11372.73%0885167652.80%810154752.36%582112551.73%1884123218266471226614
32Wilkes-Barre/Scranton Penguins4110110011110200011006602110000055050.62511193000121968451398419198351812045208619210.53%10190.00%1885167652.80%810154752.36%582112551.73%1884123218266471226614
Total8239330352030629610412213023101661412541172001210140155-15930.5673065218271112196845260784191983518254993162416292614617.62%2976378.79%11885167652.80%810154752.36%582112551.73%1884123218266471226614
_Since Last GM Reset8239330352030629610412213023101661412541172001210140155-15930.5673065218271112196845260784191983518254993162416292614617.62%2976378.79%11885167652.80%810154752.36%582112551.73%1884123218266471226614
_Vs Conference52262202200188192-42514901100958872712130110093104-11580.5581883145021012196845163884191983518161862739710361632213.50%1893879.89%8885167652.80%810154752.36%582112551.73%1884123218266471226614

Total pour les joueurs
Matchs joués Points Séquence Buts Passes Points Tirs pour Tirs contre Tirs bloqués Minutes de pénalités Mises en échec Buts en filet désert Blanchissages
8293L130652182726072549931624162911
Tous les matchs
GP W L OTW OTL SOWSOL GF GA
8239333520306296
Matchs locaux
GP W L OTW OTL SOWSOL GF GA
4122132310166141
Matchs extérieurs
GP W L OTW OTL SOWSOL GF GA
4117201210140155
Derniers 10 matchs
W L OTW OTL SOWSOL
450100
Tentatives en avantage numérique Buts en avantage numérique % en avantage numérique Tentatives en désavantage numérique Buts contre en désavantage numérique % en désavantage numérique Buts pour en désavantage numérique
2614617.62%2976378.79%11
Tirs en 1e période Tirs en 2e période Tirs en 3e période Tirs en 4e période Buts en 1e période Buts en 2e période Buts en 3e période Buts en 4e période
8419198351812196845
Mises en jeu
Gagnées en zone offensive Total en zone offensive % gagnées en zone offensive Gagnées en zone défensive Total en zone défensive % gagnées en zone défensive Gagnées en zone neutre Total en zone neutre % gagnées en zone neutre
885167652.80%810154752.36%582112551.73%
Temps avec la rondelle
En zone offensive Contrôle en zone offensive En zone défensive Contrôle en zone défensive En zone neutre Contrôle en zone neutre
1884123218266471226614


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
Jour:2
213Rouyn-Noranda Huskies2Rochester Americans1LSommaire du match
Jour:3
327Rochester Americans4Milwaukee Admirals6LSommaire du match
Jour:7
747Henderson Silver Knights4Rochester Americans3LSommaire du match
Jour:9
967Rochester Americans6Charlotte Checkers5WSommaire du match
Jour:10
1079Chisinau Pelicans5Rochester Americans8WSommaire du match
Jour:12
12100Rochester Americans1Wilkes-Barre/Scranton Penguins2LSommaire du match
Jour:14
14111Rouyn-Noranda Huskies1Rochester Americans4WSommaire du match
Jour:17
17135San Antonio Rampage4Rochester Americans7WSommaire du match
Jour:19
19142Rochester Americans4Joliette Sportif3WSommaire du match
Jour:22
22158Rochester Americans1Danbury Trashers2LSommaire du match
Jour:24
24180Mercer Island Hafgufa2Rochester Americans6WSommaire du match
Jour:27
27196Rochester Americans3Providence Bruins2WSommaire du match
Jour:29
29211Charlotte Checkers2Rochester Americans4WSommaire du match
Jour:31
31223Rochester Americans5Manitoba Moose6LSommaire du match
Jour:32
32240Wilkes-Barre/Scranton Penguins3Rochester Americans2LXSommaire du match
Jour:34
34259Rochester Americans3Hamilton Bulldogs2WSommaire du match
Jour:36
36275Binghamton Senators4Rochester Americans3LXSommaire du match
Jour:39
39287Rochester Americans3Gatineau Olympiques6LSommaire du match
Jour:42
42309Rochester Americans1Houston Aeros3LSommaire du match
Jour:43
43317Norfolk Admirals1Rochester Americans8WSommaire du match
Jour:45
45338Rochester Americans3Joliette Sportif4LSommaire du match
Jour:49
49349Verdun Junior1Rochester Americans6WSommaire du match
Jour:51
51368Rochester Americans4Wilkes-Barre/Scranton Penguins3WSommaire du match
Jour:53
53381Wilkes-Barre/Scranton Penguins3Rochester Americans4WXSommaire du match
Jour:55
55400Rochester Americans2Lake Erie Monsters1WXXSommaire du match
Jour:56
56414Bridgeport Sound Tigers2Rochester Americans4WSommaire du match
Jour:58
58429Rochester Americans8Roberval Dwarfs0WSommaire du match
Jour:62
62447Henderson Silver Knights3Rochester Americans0LSommaire du match
Jour:64
64467Rochester Americans5Laval Chiefs2WSommaire du match
Jour:65
65479Nunavik Natturaliit4Rochester Americans5WXSommaire du match
Jour:67
67498Rochester Americans2San Antonio Rampage1WSommaire du match
Jour:69
69513Grand Rapids Griffins3Rochester Americans8WSommaire du match
Jour:71
71530Rochester Americans1Bridgeport Sound Tigers6LSommaire du match
Jour:72
72546Chicoutimi Saguenéens4Rochester Americans10WSommaire du match
Jour:74
74560Rochester Americans8Albany Devils2WSommaire du match
Jour:75
75574Rochester Americans6Houston Aeros5WSommaire du match
Jour:78
78586Albany Devils2Rochester Americans3WSommaire du match
Jour:80
80610Rochester Americans1Connecticut Whale8LSommaire du match
Jour:81
81618Bridgeport Sound Tigers10Rochester Americans2LSommaire du match
Jour:82
82641Rochester Americans3Hamilton Bulldogs4LSommaire du match
Jour:84
84652San Antonio Rampage4Rochester Americans2LSommaire du match
Jour:86
86674Rochester Americans1Connecticut Whale6LSommaire du match
Jour:87
87684Nunavik Natturaliit7Rochester Americans1LSommaire du match
Jour:90
90711Connecticut Whale4Rochester Americans5WSommaire du match
Jour:92
92734Rochester Americans2Milwaukee Admirals3LSommaire du match
Jour:93
93740Rochester Americans1Henderson Silver Knights4LSommaire du match
Jour:94
94751Chisinau Pelicans8Rochester Americans7LXSommaire du match
Jour:98
98776Danbury Trashers3Rochester Americans5WSommaire du match
Jour:101
101791Rochester Americans6Danbury Trashers1WSommaire du match
Jour:103
103811Henderson Silver Knights5Rochester Americans2LSommaire du match
Jour:107
107836Rouyn-Noranda Huskies2Rochester Americans4WSommaire du match
Jour:110
110848Rochester Americans2Verdun Junior1WSommaire du match
Jour:111
111869Trois-Rivières Lions1Rochester Americans4WSommaire du match
Jour:115
115887Rochester Americans2Chicago Wolves3LXSommaire du match
Jour:117
117900Rouyn-Noranda Huskies1Rochester Americans2WXXSommaire du match
Jour:119
119919Rochester Americans5Charlotte Checkers8LSommaire du match
Jour:120
120933Houston Aeros1Rochester Americans4WSommaire du match
Jour:122
122948Rochester Americans1Providence Bruins2LSommaire du match
Jour:123
123961Rochester Americans3Milwaukee Admirals9LSommaire du match
Jour:124
124975Blainville-Boisbriand Armada1Rochester Americans3WSommaire du match
Jour:126
126993Rochester Americans5Norfolk Admirals7LSommaire du match
Jour:128
1281010Norfolk Admirals3Rochester Americans5WSommaire du match
Jour:130
1301032Charlotte Checkers5Rochester Americans2LSommaire du match
Jour:132
1321045Rochester Americans7Albany Devils4WSommaire du match
Jour:134
1341063Mercer Island Hafgufa9Rochester Americans2LSommaire du match
Jour:135
1351071Rochester Americans5Verdun Junior6LSommaire du match
Jour:139
1391097Houston Aeros1Rochester Americans3WSommaire du match
Jour:144
1441121Rochester Americans5Mercer Island Hafgufa4WXSommaire du match
Jour:145
1451132Manitoba Moose3Rochester Americans8WSommaire du match
Jour:149
1491157Springfield Falcons1Rochester Americans3WSommaire du match
Jour:152
1521171Rochester Americans4Springfield Falcons1WSommaire du match
Jour:154
1541191Lake Erie Monsters5Rochester Americans4LSommaire du match
Jour:155
1551200Rochester Americans3Grand Rapids Griffins1WSommaire du match
Jour:157
1571208Rochester Americans4Springfield Falcons3WSommaire du match
Jour:159
1591225Rochester Americans3Norfolk Admirals2WSommaire du match
Jour:162
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1621243The Nuuk Vikings4Rochester Americans1LSommaire du match
Jour:166
1661265Manitoba Moose6Rochester Americans4LSommaire du match
Jour:167
1671274Rochester Americans1Charlotte Checkers5LSommaire du match
Jour:173
1731297Providence Bruins3Rochester Americans5WSommaire du match
Jour:174
1741301Rochester Americans1Grand Rapids Griffins6LSommaire du match
Jour:175
1751307Rochester Americans5Manitoba Moose6LXSommaire du match
Jour:181
1811340Hamilton Bulldogs4Rochester Americans2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1 Niveau 2

Revenu
Matchs à domicile restants Assistance moyenne - % Revenu moyen par match Revenu annuel à ce jour Capacité Popularité de l’équipe

Dépenses
Dépenses annuelles à ce jour Salaire total des joueurs Salaire total moyen des joueurs Salaire des entraineurs
Plafond salarial par jour Plafond salarial à ce jour Joueurs Inclus dans le plafond salarial Joueurs exclut du plafond Salarial

Estimation
Revenus de la saison estimés Jours restants de la saison Dépenses par jour Dépenses de la saison estimées




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

Total Domicile Visiteur
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