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Rochester Americans
GP: 13 | W: 8 | L: 5
GF: 54 | GA: 50 | PP%: 30.19% | PK%: 70.97%
DG: Jeff | Morale : 40 | Moyenne d’équipe : 69
Prochains matchs #85 vs Orlando Solar Bears

Centre de jeu
Rochester Americans
8-5-0, 24pts
3
2 Greensboro Gargoyles
7-6-0, 21pts
Team Stats
W3SéquenceL3
5-2-0Fiche domicile3-3-0
3-3-0Fiche domicile4-3-0
5-3-2Derniers 10 matchs5-5-0
4.15Buts par match 3.31
3.85Buts contre par match 3.15
30.19%Pourcentage en avantage numérique25.64%
70.97%Pourcentage en désavantage numérique82.00%
Greensboro Gargoyles
7-6-0, 21pts
2
4 Rochester Americans
8-5-0, 24pts
Team Stats
L3SéquenceW3
3-3-0Fiche domicile5-2-0
4-3-0Fiche domicile3-3-0
5-5-0Derniers 10 matchs5-3-2
3.31Buts par match 4.15
3.15Buts contre par match 3.85
25.64%Pourcentage en avantage numérique30.19%
82.00%Pourcentage en désavantage numérique70.97%
Orlando Solar Bears
8-6-0, 24pts
Jour 27
Rochester Americans
8-5-0, 24pts
Statistiques d’équipe
W1SéquenceW3
4-4-0Fiche domicile5-2-0
4-2-0Fiche visiteur3-3-0
5-4-110 derniers matchs5-3-2
3.50Buts par match 4.15
2.71Buts contre par match 4.15
25.81%Pourcentage en avantage numérique30.19%
78.72%Pourcentage en désavantage numérique70.97%
Orlando Solar Bears
8-6-0, 24pts
Jour 28
Rochester Americans
8-5-0, 24pts
Statistiques d’équipe
W1SéquenceW3
4-4-0Fiche domicile5-2-0
4-2-0Fiche visiteur3-3-0
5-4-110 derniers matchs5-3-2
3.50Buts par match 4.15
2.71Buts contre par match 4.15
25.81%Pourcentage en avantage numérique30.19%
78.72%Pourcentage en désavantage numérique70.97%
Rochester Americans
8-5-0, 24pts
Jour 31
Orlando Solar Bears
8-6-0, 24pts
Statistiques d’équipe
W3SéquenceW1
5-2-0Fiche domicile4-4-0
3-3-0Fiche visiteur4-2-0
5-3-210 derniers matchs5-4-1
4.15Buts par match 3.50
3.85Buts contre par match 3.50
30.19%Pourcentage en avantage numérique25.81%
70.97%Pourcentage en désavantage numérique78.72%
Meneurs d'équipe
Buts
Kirill Marchenko
10
Passes
Kirill Marchenko
11
Points
Kirill Marchenko
21
Plus/Moins
Dennis Rasmussen
4
Victoires
Reto Berra
4
Pourcentage d’arrêts
TIM JUEL
0.886

Statistiques d’équipe
Buts pour
54
4.15 GFG
Tirs pour
461
35.46 Avg
Pourcentage en avantage numérique
30.2%
16 GF
Début de zone offensive
41.0%
Buts contre
50
3.85 GAA
Tirs contre
406
31.23 Avg
Pourcentage en désavantage numérique
71.0%%
9 GA
Début de la zone défensive
34.5%
Informations de l'équipe

Directeur généralJeff
DivisionNortheast Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,853
Billets de saison1,290


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 250
Espoirs62


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
1Kirill Marchenko (R)0X98.005942848475908280608285718170805540760243800,000$
2Marco Rossi (R)0X100.0061408389558989758280786478687855407402331,750,000$
3Bobby Brink (R)0X97.0058338493508383697373777176686955407202321,000,000$
4Matt Coronato (R)0X100.0055458388618880717072777077657555407202231,500,000$
5Axel Jonsson-Fjallby0X100.006944797573778563586665726776775540680271800,000$
6Dominik Simon0X100.007544757764757665676969676978665540680301560,000$
7Jiri Kulich (R)0X100.0056357889588080637768716472636355406802131,250,000$
8Greg McKegg0X100.006446756867777664796864636581725540660331500,000$
9Dennis Rasmussen0X100.006047816477738161776463656281765540650341750,000$
10Martin Frk0X100.005846756578756962556366656578705540650311700,000$
11Trey Fix-Wolansky0X100.005735807757707060526261736475695540650262600,000$
12Jack Studnicka0X100.007342797075728060695661676375685540640262700,000$
13Joe Morrow0X98.006747867190808272507366766380835540730321950,000$
14Kris Letang0X100.008150676690818263506759725788865540720381650,000$
15NICLAS ALMARI0X100.005545827876606065487363846272825240700271250,000$
16Paul LaDue0X100.007148786883717166506762666079725540670321650,000$
17EETU PELTOLA0X100.005648746986606062486963745969695240660251275,000$
18Juuso Riikola0X100.008840827450697162506461675878675540660312500,000$
Rayé
1Ridly Greig (R)0X96.1488496689698593698073757775656855407402221,000,000$
2Oskar Sundqvist0X100.007050766879727263756764656577705540660312500,000$
3Kyle Criscuolo0X100.006035757750687757616661686379605540640331675,000$
4Nick DeSimone0X85.806044817477717970507264746279795540700303800,000$
5Jack Rathbone0X100.005435818458687661506161646273705540650261600,000$
6Ethan Prow0X100.005140847560657360505662655978725540640321650,000$
7Ashton Sautner0X100.006715827655686760506059645865607540630311650,000$
MOYENNE D’ÉQUIPE99.00654279766975776561686669667472564068
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
1Reto Berra098.007065708677818178778179897055407603811,050,000$
2TIM JUEL099.00526060747979808080797975645240720301350,000$
Rayé
1STEFANOS LEKKAS084.36796060747877787878777874625240720291275,000$
MOYENNE D’ÉQUIPE93.7967626378787980797879797965534073
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
1Kirill MarchenkoRochester Americans (PIT)RW13101121-620151659314016.95%928321.84257341000000033.33%27235101.4800000130
2Bobby BrinkRochester Americans (PIT)LW1310818-620192758163517.24%929923.0263913410000134150.00%22195011.2000000310
3Marco RossiRochester Americans (PIT)C135101512210151938152113.16%123618.21314446000000057.67%18984011.2700011110
4Ridly GreigRochester Americans (PIT)C1031013-728103622316209.68%220420.47257631000001057.19%313114001.2700002003
5Joe MorrowRochester Americans (PIT)D1321012-42020352916106.90%1235127.02145646000128000%0514000.6800000001
6Matt CoronatoRochester Americans (PIT)RW139312-17581758103715.52%122117.00011434000002160.00%5132001.0900001200
7Dominik SimonRochester Americans (PIT)LW13641024030162462225.00%417313.37202340001241083.33%6142001.1500000102
8Jiri KulichRochester Americans (PIT)C1345906013273661611.11%620515.84022434000070050.33%153121000.8700000101
9Kris LetangRochester Americans (PIT)D13066-320103215124110%1627220.970000000000000%0214000.4400002000
10NICLAS ALMARIRochester Americans (PIT)D13055-255103312740%2627721.34022031000016000%015000.3600010000
11Greg McKeggRochester Americans (PIT)C13123-1551619285123.57%315712.14011140000250043.56%10153000.3800001010
12Juuso RiikolaRochester Americans (PIT)D13123340261453220.00%721816.8000003200004000%034000.2700000001
13Trey Fix-WolanskyRochester Americans (PIT)RW13123220317127108.33%413810.6700000000000033.33%323000.4300000001
14Dennis RasmussenRochester Americans (PIT)C31124002931133.33%05117.1100008000010047.73%4430000.7800000010
15Axel Jonsson-FjallbyRochester Americans (PIT)LW13011-295281312280%421616.62011132000070012.50%874000.0900010000
16EETU PELTOLARochester Americans (PIT)D8011-211551110510%814918.650000000006000%005000.1300001000
17Jack StudnickaRochester Americans (PIT)LW131012752112117109.09%11199.20000000000110140.00%512000.1700001000
18Martin FrkRochester Americans (PIT)RW1301122066152130%11148.8200002000000033.33%341000.1700000000
19Nick DeSimoneRochester Americans (PIT)D5011000547230%58617.270000000007000%013000.2300000000
20Paul LaDueRochester Americans (PIT)D1300024012101330%421116.2300001000028000%04800000000000
Statistiques d’équipe totales ou en moyenne2345483137-161426032234246115427911.71%123398917.051625414539500021838352.67%87913889120.6900039979
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
1Reto BerraRochester Americans (PIT)84120.8763.79427002721884300067101
2STEFANOS LEKKASRochester Americans (PIT)52100.8723.85218001410953100045000
3TIM JUELRochester Americans (PIT)32100.8863.331620097951000031000
Statistiques d’équipe totales ou en moyenne168320.8773.7280700504061884001313101


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 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
Ashton SautnerRochester Americans (PIT)D311994-05-27CANNo195 Lbs6 ft1NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm650,000$216,667$0$0$No---------------------------Lien
Axel Jonsson-FjallbyRochester Americans (PIT)LW271998-02-10SWENo190 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm800,000$266,667$0$0$No---------------------------Lien
Bobby BrinkRochester Americans (PIT)LW232001-07-08USAYes165 Lbs5 ft8NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,000,000$333,333$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Dennis RasmussenRochester Americans (PIT)C341990-07-03SWENo205 Lbs6 ft3NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm750,000$250,000$0$0$No---------------------------Lien
Dominik SimonRochester Americans (PIT)LW301994-08-08CZENo190 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm560,000$186,667$0$0$No---------------------------
EETU PELTOLA (contrat à 1 volet)Rochester Americans (PIT)D251999-10-15FINNo207 Lbs6 ft4NoNoFree AgentNoNo12025-11-03FalseFalseFarm Only275,000$91,667$0$0$No---------------------------Lien
Ethan ProwRochester Americans (PIT)D321992-11-17USANo182 Lbs5 ft11NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm650,000$216,667$0$0$No---------------------------Lien
Greg McKeggRochester Americans (PIT)C331992-06-17CANNo195 Lbs6 ft0NoNoFree AgentNoNo12025-10-24FalseFalsePro & Farm500,000$166,667$0$0$No---------------------------
Jack RathboneRochester Americans (PIT)D261999-05-20USANo177 Lbs5 ft10NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$200,000$0$0$No---------------------------Lien
Jack StudnickaRochester Americans (PIT)LW261999-02-18CANNo194 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm700,000$233,333$0$0$No700,000$--------700,000$--------No--------Lien
Jiri KulichRochester Americans (PIT)C212004-04-14CZEYes172 Lbs5 ft11NoNoFree AgentNoNo32025-12-13FalseFalsePro & Farm1,250,000$416,667$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------Lien
Joe MorrowRochester Americans (PIT)D321992-12-09CANNo207 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm950,000$316,667$0$0$No---------------------------Lien
Juuso RiikolaRochester Americans (PIT)D311993-11-09FINNo189 Lbs6 ft0NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$166,667$0$0$No500,000$--------500,000$--------No--------
Kirill MarchenkoRochester Americans (PIT)RW242000-07-21RUSYes197 Lbs6 ft3NoNoProspectNoNo32025-09-30FalseFalsePro & Farm800,000$266,667$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Kris LetangRochester Americans (PIT)D381987-04-24CANNo201 Lbs6 ft0NoNoFree AgentNoNo12025-10-17FalseFalsePro & Farm650,000$216,667$0$0$No---------------------------Lien
Kyle CriscuoloRochester Americans (PIT)RW331992-05-05USANo175 Lbs5 ft9NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm675,000$225,000$0$0$No---------------------------Lien
Marco RossiRochester Americans (PIT)C232001-09-23AUTYes182 Lbs5 ft9NoNoFree AgentNoNo32025-12-13FalseFalsePro & Farm1,750,000$583,333$0$0$No1,750,000$1,750,000$-------1,750,000$1,750,000$-------NoNo-------Lien
Martin FrkRochester Americans (PIT)RW311993-10-05CZENo205 Lbs6 ft1NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm700,000$233,333$0$0$No---------------------------Lien
Matt CoronatoRochester Americans (PIT)RW222002-11-14USAYes183 Lbs5 ft10NoNoFree AgentNoNo32025-11-22FalseFalsePro & Farm1,500,000$500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
NICLAS ALMARI (contrat à 1 volet)Rochester Americans (PIT)D271998-05-11FINNo190 Lbs6 ft2NoNoFree AgentNoNo12025-10-13FalseFalseFarm Only250,000$83,333$0$0$No---------------------------Lien
Nick DeSimoneRochester Americans (PIT)D301994-11-21USANo194 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm800,000$266,667$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Oskar SundqvistRochester Americans (PIT)LW311994-03-23SWENo220 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$166,667$0$0$No500,000$--------500,000$--------No--------Lien
Paul LaDueRochester Americans (PIT)D321992-09-06USANo200 Lbs6 ft2NoNoFree AgentNoNo12025-10-27FalseFalsePro & Farm650,000$216,667$0$0$No---------------------------Lien
Reto BerraRochester Americans (PIT)G381987-01-03SUINo210 Lbs6 ft4NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm1,050,000$350,000$0$0$No---------------------------
Ridly GreigRochester Americans (PIT)C222002-08-08CANYes181 Lbs6 ft0NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,000,000$333,333$0$0$No1,000,000$--------1,000,000$--------No--------Lien
STEFANOS LEKKAS (contrat à 1 volet)Rochester Americans (PIT)G291996-01-17USANo181 Lbs6 ft0NoNoFree AgentNoNo12025-11-01FalseFalseFarm Only275,000$91,667$0$0$No---------------------------Lien
TIM JUEL (contrat à 1 volet)Rochester Americans (PIT)G301994-08-05SWENo194 Lbs6 ft0NoNoTrade2026-03-19NoNo12025-10-20FalseFalseFarm Only350,000$116,667$0$0$No---------------------------Lien
Trey Fix-WolanskyRochester Americans (PIT)RW261999-05-26CANNo179 Lbs5 ft7NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm600,000$200,000$0$0$No600,000$--------600,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2828.82191 Lbs6 ft01.57740,536$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Bobby BrinkMarco RossiKirill Marchenko40014
2Axel Jonsson-FjallbyJiri KulichMatt Coronato30023
3Dominik SimonGreg McKeggTrey Fix-Wolansky20023
4Jack StudnickaDennis RasmussenMartin Frk10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe MorrowKris Letang40023
2NICLAS ALMARIEETU PELTOLA34032
3Paul LaDueJuuso Riikola26032
4Joe MorrowKris Letang0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Bobby BrinkDennis RasmussenKirill Marchenko60005
2Axel Jonsson-FjallbyJiri KulichMatt Coronato40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe MorrowMarco Rossi60014
2NICLAS ALMARIJuuso Riikola40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Greg McKeggDominik Simon60041
2Jack StudnickaBobby Brink40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe MorrowPaul LaDue60041
2NICLAS ALMARIEETU PELTOLA40041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jack Studnicka60041Joe MorrowPaul LaDue60041
2Dominik Simon40041NICLAS ALMARIJuuso Riikola40041
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jiri KulichMatt Coronato60014
2Dennis RasmussenBobby Brink40014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe MorrowKris Letang60023
2NICLAS ALMARIEETU PELTOLA40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bobby BrinkDennis RasmussenKirill MarchenkoJoe MorrowMarco Rossi
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bobby BrinkMarco RossiKirill MarchenkoJoe MorrowKris Letang
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jiri Kulich, Axel Jonsson-Fjallby, Greg McKeggJiri Kulich, Axel Jonsson-FjallbyGreg McKegg
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Paul LaDue, Juuso Riikola, NICLAS ALMARIPaul LaDueJuuso Riikola, NICLAS ALMARI
Tirs de pénalité
Kirill Marchenko, Marco Rossi, Dennis Rasmussen, Bobby Brink, Matt Coronato
Gardien
#1 : Reto Berra, #2 : TIM JUEL
Lignes d’attaque personnalisées en prolongation
Dennis Rasmussen, Kirill Marchenko, Marco Rossi, Bobby Brink, Jiri Kulich, Matt Coronato, Greg McKegg, Axel Jonsson-Fjallby, Dominik Simon, Martin Frk
Lignes de défense personnalisées en prolongation
Joe Morrow, Kris Letang, NICLAS ALMARI, EETU PELTOLA, Paul LaDue


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
1Bridgeport Islanders642000003227532100000131123210000019163120.66732518300141723020914815614891845271144251040.00%18572.22%019536054.17%15230350.17%11621653.70%308186262120235120
2Greensboro Gargoyles743000002223-143100000138531200000915-6120.5712232540014172302521481561489222717117828621.43%13469.23%019536054.17%15230350.17%11621653.70%308186262120235120
Total138500000545047520000026197633000002831-3240.61554831370014172304611481561489406123142322531630.19%31970.97%019536054.17%15230350.17%11621653.70%308186262120235120
_Since Last GM Reset138500000545047520000026197633000002831-3240.61554831370014172304611481561489406123142322531630.19%31970.97%019536054.17%15230350.17%11621653.70%308186262120235120
_Vs Conference138500000545047520000026197633000002831-3240.61554831370014172304611481561489406123142322531630.19%31970.97%019536054.17%15230350.17%11621653.70%308186262120235120
_Vs Division743000002223-143100000138531200000915-6120.5712232540014172302521481561489222717117828621.43%13469.23%019536054.17%15230350.17%11621653.70%308186262120235120

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1324W3548313746140612314232200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
138500005450
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
75200002619
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
63300002831
Derniers 10 matchs
WLOTWOTL SOWSOL
530200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
531630.19%31970.97%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
14815614891417230
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
19536054.17%15230350.17%11621653.70%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
308186262120235120


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
12Bridgeport Islanders4Rochester Americans6WSommaire du match
210Bridgeport Islanders2Rochester Americans4WSommaire du match
518Rochester Americans7Bridgeport Islanders5WSommaire du match
626Rochester Americans7Bridgeport Islanders8LXSommaire du match
934Bridgeport Islanders5Rochester Americans3LSommaire du match
1142Rochester Americans5Bridgeport Islanders3WSommaire du match
1457Greensboro Gargoyles1Rochester Americans3WSommaire du match
1561Greensboro Gargoyles4Rochester Americans1LSommaire du match
1865Rochester Americans5Greensboro Gargoyles6LXSommaire du match
1969Rochester Americans1Greensboro Gargoyles7LSommaire du match
2273Greensboro Gargoyles1Rochester Americans5WSommaire du match
2477Rochester Americans3Greensboro Gargoyles2WSommaire du match
2681Greensboro Gargoyles2Rochester Americans4WSommaire du match
2785Orlando Solar Bears-Rochester Americans-
2887Orlando Solar Bears-Rochester Americans-
3189Rochester Americans-Orlando Solar Bears-
3291Rochester Americans-Orlando Solar Bears-
3593Orlando Solar Bears-Rochester Americans-
3795Rochester Americans-Orlando Solar Bears-
3997Orlando Solar Bears-Rochester Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3111
Assistance13,0306,939
Assistance PCT93.07%99.13%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 2853 - 95.09% 68,608$480,259$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,958,500$ 0$ 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$ 13 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