Rochester Americans
GP: 66 | W: 30 | L: 33 | OTL: 3 | P: 63
GF: 219 | GA: 249 | PP%: 18.88% | PK%: 73.77%
DG: Jean-Bruno Gélinas | Morale : 42 | Moyenne d'Équipe : N/A
Prochain matchs #1068 vs Norfolk Admirals
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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 SP
1Dylan SikuraXXX98.0058239085708686807373727073767665000
2Mason Shaw (R)X100.0075368280708268807272717072707365000
3Eric Cornel (R)XXX100.0075338880827874797472706872686855000
4Trevor CoxXX99.0078358486748179797674736776777755000
5Malte StrömwallX100.0069357781788279807172736979827855000
6Sakari ManninenXX100.0065388483658277807573736782838315000
7Radim ZohornaXXX100.0075358480888281807273736478757365000
8Alexei MitrofanovXXX100.0076358288718479817672716776848215000
9Daniel O'ReganX99.0075308486768482787774736976818155000
10Jujhar KhairaXX100.0087407778837770787372727072757555000
11Joe VelenoXX100.0072338283798280807473726873636375000
12Scott LaughtonXX100.0082387879828378797673726873797955000
13Nick BaptisteX100.0081358080868481806571726674696955000
14Lucas Carlsson (R)X100.0077387877808383795073678566706965000
15Robin PressX100.0076358376868287785072728373797665000
16Tyler Tucker (R)X100.0087506873847979775071638560686565000
17Ty Emberson (R)X100.0074387674807777755069628357647065000
18Josh BrownX100.0096527174938279765071639158838765000
19Taylor DohertyX98.0093446971947974745073659455969755000
20Jason FramX100.0077388178808076765073688465757665000
Rayé
1Maxim Letunov (R)X100.0069358479798080787171716772646455000
2Yegor Korshkov (R)X100.0076408078828079776670716873716355000
3Ian McCoshenX100.0089407375868175775070668764727265000
MOYENNE D'ÉQUIPE99.747737807980817878657270747075755500
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 SP
1Yaniv Perets (R)100.008381828283818080808182626085000
2Brendan Burke99.008683838589888888868885768185000
Rayé
MOYENNE D'ÉQUIPE99.50858283848685848483858469718500
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Bowness82858286918270CAN6721,750,000$


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
1Joe VelenoRochester Americans (BUF)C/LW62222850-102406058149458014.77%18105617.037613341530110204147.17%6367513100.9501000441
2Daniel O'ReganRochester Americans (BUF)C66143549-14100937915355989.15%15127919.39315182621002261681049.86%103710623100.7725000231
3Malte StrömwallRochester Americans (BUF)RW66192645-826060371595810211.95%1699115.027714311541125112242.59%548217000.9101000112
4Radim ZohornaRochester Americans (BUF)C/LW/RW6618274531408516129608313.95%18103915.755611151330001104049.49%1968914010.8700000205
5Nick BaptisteRochester Americans (BUF)RW6614284223609326126588411.11%1599515.081127460001122053.06%496615000.8423000320
6Dylan SikuraRochester Americans (BUF)C/LW/RW66152641-10802577141539110.64%19125619.0466123118113431292044.32%44910319000.6526000032
7Sakari ManninenRochester Americans (BUF)C/LW66202040010038411434310813.99%1498314.9034715710003571249.58%3578411000.8101000043
8Trevor CoxRochester Americans (BUF)C/LW57152338-10805443120327212.50%1694516.59410143116111281701057.47%2619112000.8025000116
9Alexei MitrofanovRochester Americans (BUF)C/LW/RW66182038-121807750150528912.00%1499515.09549251331014451251.89%26410814000.7603000112
10Scott LaughtonRochester Americans (BUF)C/LW6614213543406456124447711.29%1095414.46000324000042153.45%3336913010.7300000201
11Lucas CarlssonRochester Americans (BUF)D63623291260621166824348.82%87105716.78178211370001125100.00%0844000.5500000120
12Robin PressRochester Americans (BUF)D6616132981206911286423718.60%73119318.09448261670110138210.00%04344000.4900000234
13Jujhar KhairaRochester Americans (BUF)C/LW6614152932407732112325612.50%1066010.0100000000002050.94%1065011000.8800000202
14Ian McCoshenRochester Americans (BUF)D4381624-54208610067232411.94%7190621.08347201431012105000.00%0750000.5300000020
15Josh BrownRochester Americans (BUF)D6601717-197001421258929310.00%112149622.67077232470000221000.00%0367000.2300000010
16Ty EmbersonRochester Americans (BUF)D6631114530045957015304.29%6993514.1700000101144100.00%0436000.3000000100
17Taylor DohertyRochester Americans (BUF)D3831013-720045774517196.67%5365317.1913481180111116100.00%0229000.4000000110
18Eric CornelRochester Americans (BUF)C/LW/RW3739123201514447196.82%62727.36000010001120157.30%89285000.8800000002
19Tyler TuckerRochester Americans (BUF)D552911-1240061963915155.13%5770312.8000018000029010.00%0241000.3100000010
20Yegor KorshkovRochester Americans (BUF)RW3626818023143212166.25%62657.3700000000000150.00%12173000.6000000000
21Jason FramRochester Americans (BUF)D37246-68019553613135.56%3945612.350000000004000.00%0525000.2600000001
22Mason ShawRochester Americans (BUF)C43011-5401013216120.00%32014.6700004000150046.85%111174000.1000000000
Stats d'équipe Total ou en Moyenne1263228388616-884740130313322103735119010.84%7411930015.285084134317209861016381435271249.75%39541059510220.64825000232932
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)47181930.8923.412467211401299689300.682224224910
2Yaniv PeretsRochester Americans (BUF)174800.8374.927680063386192111.00031231000
Stats d'équipe Total ou en Moyenne64222730.8803.763236212031685881410.720255455910


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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexei MitrofanovRochester Americans (BUF)C/LW/RW291992-01-22 08:54:20No159 Lbs5 ft9NoNoNo1Pro & Farm1,565,000$376,911$1,565,000$376,911$0$0$No
Brendan BurkeRochester Americans (BUF)G271994-01-22 02:06:01No185 Lbs6 ft3NoNoNo3Pro & Farm1,250,000$301,047$1,250,000$301,047$0$0$No1,250,000$1,250,000$
Daniel O'ReganRochester Americans (BUF)C281993-01-22 12:51:23No170 Lbs5 ft9NoNoNo1Pro & Farm1,650,000$397,382$1,650,000$397,382$0$0$No
Dylan SikuraRochester Americans (BUF)C/LW/RW271994-01-22 04:31:22No165 Lbs5 ft11NoNoNo3Pro & Farm1,000,000$240,838$1,000,000$240,838$0$0$No1,000,000$1,000,000$
Eric CornelRochester Americans (BUF)C/LW/RW261995-01-22 04:30:17Yes192 Lbs6 ft2NoNoNo1Pro & Farm1,100,000$264,921$1,100,000$264,921$0$0$No
Ian McCoshenRochester Americans (BUF)D271994-01-22 10:12:10No218 Lbs6 ft3NoNoNo1Pro & Farm1,500,000$361,257$1,500,000$361,257$0$0$No
Jason FramRochester Americans (BUF)D271994-01-22 13:16:12No194 Lbs6 ft0NoNoNo1Pro & Farm1,350,000$325,131$1,350,000$325,131$0$0$No
Joe VelenoRochester Americans (BUF)C/LW221999-01-22 05:36:41No192 Lbs6 ft1NoNoNo2Pro & Farm1,300,000$313,089$1,300,000$313,089$0$0$No1,300,000$
Josh BrownRochester Americans (BUF)D281993-01-02 00:12:01No216 Lbs6 ft5NoNoNo1Pro & Farm900,000$216,754$900,000$216,754$0$0$No
Jujhar KhairaRochester Americans (BUF)C/LW281993-01-22 02:21:23No214 Lbs6 ft3NoNoNo2Pro & Farm1,000,000$240,838$1,000,000$240,838$0$0$No1,000,000$
Lucas CarlssonRochester Americans (BUF)D251996-01-02 09:09:59Yes190 Lbs6 ft0NoNoNo1Pro & Farm850,000$204,712$850,000$204,712$0$0$No
Malte StrömwallRochester Americans (BUF)RW281993-01-02 01:05:41No190 Lbs6 ft0YesNoNo3Pro & Farm1,200,000$289,005$1,200,000$289,005$0$0$No1,200,000$1,200,000$
Mason ShawRochester Americans (BUF)C241997-01-02 08:08:52Yes179 Lbs5 ft9NoNoNo1Pro & Farm750,000$180,628$750,000$180,628$0$0$No
Maxim LetunovRochester Americans (BUF)C261995-01-02 09:51:03Yes185 Lbs6 ft4NoNoNo1Pro & Farm900,000$216,754$900,000$216,754$0$0$No
Nick BaptisteRochester Americans (BUF)RW271994-01-22 05:47:37No205 Lbs6 ft1NoNoNo2Pro & Farm1,000,000$240,838$1,000,000$240,838$0$0$No1,000,000$
Radim ZohornaRochester Americans (BUF)C/LW/RW261995-01-02 13:16:51No229 Lbs6 ft6YesNoNo3Pro & Farm1,500,000$361,257$1,500,000$361,257$0$0$No1,500,000$1,500,000$
Robin PressRochester Americans (BUF)D281993-01-02 23:40:20No209 Lbs6 ft4NoNoNo1Pro & Farm850,000$204,712$850,000$204,712$0$0$No
Sakari ManninenRochester Americans (BUF)C/LW301991-01-02 01:12:08No179 Lbs5 ft8YesNoNo3Pro & Farm1,500,000$361,257$1,500,000$361,257$0$0$No1,500,000$1,500,000$
Scott LaughtonRochester Americans (BUF)C/LW281993-01-22 08:09:57No190 Lbs6 ft1NoNoNo2Pro & Farm1,200,000$289,005$1,200,000$289,005$0$0$No1,200,000$
Taylor DohertyRochester Americans (BUF)D311990-01-22 06:48:33No230 Lbs6 ft8NoNoNo1Pro & Farm1,250,000$301,047$1,250,000$301,047$0$0$No
Trevor CoxRochester Americans (BUF)C/LW271994-01-22 04:31:23No174 Lbs5 ft8NoNoNo2Pro & Farm2,000,000$481,675$2,000,000$481,675$0$0$No2,000,000$
Ty EmbersonRochester Americans (BUF)D221999-01-02 03:43:54Yes194 Lbs6 ft1NoNoNo2Pro & Farm800,000$192,670$800,000$192,670$0$0$No800,000$
Tyler TuckerRochester Americans (BUF)D221999-01-02 03:36:38Yes205 Lbs6 ft2NoNoNo2Pro & Farm800,000$192,670$800,000$192,670$0$0$No800,000$
Yaniv PeretsRochester Americans (BUF)G221999-01-02 21:10:44Yes181 Lbs6 ft1NoNoNo2Pro & Farm750,000$180,628$750,000$180,628$0$0$No750,000$
Yegor KorshkovRochester Americans (BUF)RW261995-01-02 03:24:34Yes187 Lbs6 ft4NoNoNo1Pro & Farm850,000$204,712$850,000$204,712$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2526.44193 Lbs6 ft11.721,152,600$



Attaque à 5 contre 5
Ligne # Ailier Gauche Centre Ailier Droit
1Trevor CoxDylan SikuraAlexei Mitrofanov
2Scott LaughtonDaniel O'ReganNick Baptiste
3Radim ZohornaJoe VelenoMalte Strömwall
4Jujhar KhairaSakari ManninenMason Shaw
Défense à 5 contre 5
Ligne # Défense Défense
1Taylor DohertyJosh Brown
2Robin PressLucas Carlsson
3Jason FramTyler Tucker
4Ty EmbersonTaylor Doherty
Attaque en Avantage Numérique
Ligne # Ailier Gauche Centre Ailier Droit
1Trevor CoxDaniel O'ReganJoe Veleno
2Scott LaughtonDylan SikuraNick Baptiste
Défense en Avantage Numérique
Ligne # Défense Défense
1Taylor DohertyJosh Brown
2Robin PressLucas Carlsson
Attaque à 4 en Désavantage Numérique
Ligne # Centre Ailier
1Dylan SikuraTrevor Cox
2Daniel O'ReganAlexei Mitrofanov
Défense à 4 en Désavantage Numérique
Ligne # Défense Défense
1Taylor DohertyJosh Brown
2Robin PressLucas Carlsson
3 joueurs en Désavantage Numérique
Ligne # Ailier Défense Défense
1Dylan SikuraTaylor DohertyJosh Brown
2Trevor CoxRobin PressLucas Carlsson
Attaque à 4 contre 4
Ligne # Centre Ailier
1Dylan SikuraTrevor Cox
2Daniel O'ReganAlexei Mitrofanov
Défense à 4 contre 4
Ligne # Défense Défense
1Taylor DohertyJosh Brown
2Robin PressLucas Carlsson
Attaque Dernière Minute
Ailier Gauche Centre Ailier Droit Défense Défense
Trevor CoxDylan SikuraAlexei MitrofanovTaylor DohertyJosh Brown
Défense Dernière Minute
Ailier Gauche Centre Ailier Droit Défense Défense
Trevor CoxDylan SikuraAlexei MitrofanovTaylor DohertyJosh Brown
Attaquants Supplémentaires
Normal Avantage Numérique Désavantage Numérique
Mason Shaw, Joe Veleno, Sakari ManninenMason Shaw, Joe VelenoSakari Manninen
Défenseurs Supplémentaires
Normal Avantage Numérique Désavantage Numérique
Jason Fram, Tyler Tucker, Ty EmbersonJason FramTyler Tucker, Ty Emberson
Tirs de Pénalité
Dylan Sikura, Trevor Cox, Daniel O'Regan, Alexei Mitrofanov, Nick Baptiste
Gardien
#1 : Brendan Burke, #2 : Yaniv Perets
Lignes d'Attaque Perso. en Prol.
Dylan Sikura, Trevor Cox, Daniel O'Regan, Alexei Mitrofanov, Nick Baptiste, Scott Laughton, Scott Laughton, Sakari Manninen, Radim Zohorna, Malte Strömwall, Eric Cornel
Lignes de Défense Perso. en Prol.
Taylor Doherty, Josh Brown, Robin Press, Lucas Carlsson, Jason Fram


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
LigueDomicileVisiteur
# 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
1Adirondack Phantoms22000000826110000002111100000061541.0008132100718456125471769363150572220485360.00%10190.00%0675131551.33%662134649.18%45386652.31%150897514955331002501
2Albany Devils11000000422110000004220000000000021.00047110071845612357176936315036118172150.00%40100.00%0675131551.33%662134649.18%45386652.31%150897514955331002501
3Blainville-Boisbriand Armada30300000919-101010000058-320200000411-700.0009162500718456128171769363150104442854800.00%14471.43%1675131551.33%662134649.18%45386652.31%150897514955331002501
4Bridgeport Sound Tigers220000001239110000007161100000052341.00012213300718456127271769363150552614325240.00%7185.71%0675131551.33%662134649.18%45386652.31%150897514955331002501
5Charlotte Checkers503010101215-33020100079-22010001056-140.4001221330071845612158717693631501555640912129.52%20575.00%0675131551.33%662134649.18%45386652.31%150897514955331002501
6Chicago Wolves1010000034-11010000034-10000000000000.00036900718456123571769363150351514189222.22%7271.43%0675131551.33%662134649.18%45386652.31%150897514955331002501
7Chicoutimi Saguenéens1010000045-1000000000001010000045-100.00048120071845612367176936315033124215120.00%2150.00%0675131551.33%662134649.18%45386652.31%150897514955331002501
8Chisinau Pelicans11000000826110000008260000000000021.00081220007184561234717693631503610621000.00%30100.00%0675131551.33%662134649.18%45386652.31%150897514955331002501
9Connecticut Whale2020000059-41010000034-11010000025-300.0005101500718456126071769363150552616321119.09%8450.00%0675131551.33%662134649.18%45386652.31%150897514955331002501
10Gatineau Olympiques11000000541000000000001100000054121.00058130071845612267176936315033138163266.67%4175.00%0675131551.33%662134649.18%45386652.31%150897514955331002501
11Grand Rapids Griffins2010000127-51000000123-11010000004-410.25024600718456126671769363150642524485120.00%12375.00%0675131551.33%662134649.18%45386652.31%150897514955331002501
12Henderson Silver Knights1010000013-2000000000001010000013-200.000123007184561216717693631503116819200.00%4175.00%0675131551.33%662134649.18%45386652.31%150897514955331002501
13Houston Aeros2110000059-41010000039-61100000020220.50058130171845612757176936315063252037800.00%10280.00%2675131551.33%662134649.18%45386652.31%150897514955331002501
14Joliette Sportif11000000312000000000001100000031221.000369007184561235717693631503286203133.33%30100.00%0675131551.33%662134649.18%45386652.31%150897514955331002501
15Lake Erie Monsters1010000025-3000000000001010000025-300.0002460071845612287176936315022128285120.00%4250.00%0675131551.33%662134649.18%45386652.31%150897514955331002501
16Laval Chiefs20200000311-81010000017-61010000024-200.00036900718456126771769363150672012235120.00%6266.67%0675131551.33%662134649.18%45386652.31%150897514955331002501
17Manitoba Moose724010002938-920200000711-4522010002227-560.42929528100718456122247176936315024910150135411126.83%251156.00%0675131551.33%662134649.18%45386652.31%150897514955331002501
18Milwaukee Admirals1010000026-41010000026-40000000000000.0002460071845612357176936315025132266116.67%10100.00%1675131551.33%662134649.18%45386652.31%150897514955331002501
19Norfolk Admirals522000011414042100001131121010000013-250.500142337007184561215571769363150159623210713215.38%16287.50%0675131551.33%662134649.18%45386652.31%150897514955331002501
20Nunavik Natturaliit10000010321100000103210000000000021.0003470071845612317176936315027142174125.00%10100.00%0675131551.33%662134649.18%45386652.31%150897514955331002501
21Oklahoma City Barons20100010910-11010000057-21000001043120.5009152400718456126271769363150571145210220.00%110.00%0675131551.33%662134649.18%45386652.31%150897514955331002501
22Providence Bruins21100000550110000003211010000023-120.50059140071845612697176936315049122047500.00%10280.00%0675131551.33%662134649.18%45386652.31%150897514955331002501
23Rouyn-Noranda Huskies22000000963220000009630000000000041.0009152400718456126371769363150552512396233.33%6266.67%0675131551.33%662134649.18%45386652.31%150897514955331002501
24San Antonio Rampage2110000049-51010000017-61100000032120.5004711007184561255717693631505922123110220.00%6183.33%0675131551.33%662134649.18%45386652.31%150897514955331002501
25Springfield Falcons22000000945000000000002200000094541.0009172600718456126671769363150731916477114.29%8187.50%0675131551.33%662134649.18%45386652.31%150897514955331002501
26The Nuuk Vikings11000000312110000003120000000000021.000358007184561235717693631503160248112.50%000.00%0675131551.33%662134649.18%45386652.31%150897514955331002501
Total66223302162219249-3032111501032108118-1034111801130111131-20630.4772193795981171845612206471769363150210777950113102494718.88%2446473.77%6675131551.33%662134649.18%45386652.31%150897514955331002501
28Trois-Rivières Lions20200000711-41010000035-21010000046-200.000714211071845612617176936315069251438600.00%7185.71%1675131551.33%662134649.18%45386652.31%150897514955331002501
29Verdun Junior612001202019120100010550411001101514170.583203252007184561218171769363150206804811715213.33%24675.00%1675131551.33%662134649.18%45386652.31%150897514955331002501
30Wilkes-Barre/Scranton Penguins513000101923-421000010954303000001018-840.400193049007184561214971769363150170485310521419.05%21861.90%0675131551.33%662134649.18%45386652.31%150897514955331002501
_Since Last GM Reset66223302162219249-3032111501032108118-1034111801130111131-20630.4772193795981171845612206471769363150210777950113102494718.88%2446473.77%6675131551.33%662134649.18%45386652.31%150897514955331002501
_Vs Conference40151902031136146-101979010116469-521810010207277-5410.513136235371017184561212507176936315012684573138001613119.25%1504073.33%2675131551.33%662134649.18%45386652.31%150897514955331002501

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6663SOL121937959820642107779501131011
Tous les Matchs
GPWLOTWOTL SOWSOL GFGA
6622332162219249
Matchs locaux
GPWLOTWOTL SOWSOL GFGA
3211151032108118
Matchs Éxtérieurs
GPWLOTWOTL SOWSOL GFGA
3411181130111131
Derniers 10 Matchs
WLOTWOTL SOWSOL
540001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2494718.88%2446473.77%6
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
7176936315071845612
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
675131551.33%662134649.18%45386652.31%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
150897514955331002501


Derniers Match 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
3 - 2022-09-0713Charlotte Checkers2Rochester Americans1LSommaire du Match
4 - 2022-09-0826Rochester Americans4Verdun Junior5LSommaire du Match
7 - 2022-09-1147Rochester Americans4Springfield Falcons2WSommaire du Match
8 - 2022-09-1255Norfolk Admirals5Rochester Americans4LXXSommaire du Match
11 - 2022-09-1578Rochester Americans2Wilkes-Barre/Scranton Penguins6LSommaire du Match
14 - 2022-09-1890Charlotte Checkers3Rochester Americans1LSommaire du Match
17 - 2022-09-21112Norfolk Admirals2Rochester Americans4WSommaire du Match
20 - 2022-09-24131Rochester Americans3Manitoba Moose1WSommaire du Match
21 - 2022-09-25146Rouyn-Noranda Huskies5Rochester Americans7WSommaire du Match
23 - 2022-09-27166Rochester Americans4Verdun Junior5LXSommaire du Match
24 - 2022-09-28171Rochester Americans4Manitoba Moose10LSommaire du Match
26 - 2022-09-30189Verdun Junior3Rochester Americans4WXXSommaire du Match
28 - 2022-10-02198Rochester Americans4Manitoba Moose3WXSommaire du Match
31 - 2022-10-05217Wilkes-Barre/Scranton Penguins4Rochester Americans7WSommaire du Match
33 - 2022-10-07226Rochester Americans4Wilkes-Barre/Scranton Penguins6LSommaire du Match
35 - 2022-10-09248Rochester Americans4Manitoba Moose8LSommaire du Match
37 - 2022-10-11260Norfolk Admirals3Rochester Americans2LSommaire du Match
38 - 2022-10-12269Rochester Americans3Verdun Junior2WXXSommaire du Match
41 - 2022-10-15288The Nuuk Vikings1Rochester Americans3WSommaire du Match
43 - 2022-10-17313Rochester Americans4Chicoutimi Saguenéens5LSommaire du Match
45 - 2022-10-19320Rochester Americans2Lake Erie Monsters5LSommaire du Match
46 - 2022-10-20328Albany Devils2Rochester Americans4WSommaire du Match
48 - 2022-10-22353Verdun Junior2Rochester Americans1LSommaire du Match
50 - 2022-10-24375Rochester Americans6Adirondack Phantoms1WSommaire du Match
52 - 2022-10-26385Chisinau Pelicans2Rochester Americans8WSommaire du Match
55 - 2022-10-29407Rochester Americans5Springfield Falcons2WSommaire du Match
57 - 2022-10-31420Chicago Wolves4Rochester Americans3LSommaire du Match
59 - 2022-11-02437Rochester Americans3Joliette Sportif1WSommaire du Match
61 - 2022-11-04451Bridgeport Sound Tigers1Rochester Americans7WSommaire du Match
63 - 2022-11-06463Rochester Americans3San Antonio Rampage2WSommaire du Match
65 - 2022-11-08483Manitoba Moose6Rochester Americans4LSommaire du Match
67 - 2022-11-10493Rochester Americans4Wilkes-Barre/Scranton Penguins6LSommaire du Match
70 - 2022-11-13513Laval Chiefs7Rochester Americans1LSommaire du Match
74 - 2022-11-17529Rochester Americans5Bridgeport Sound Tigers2WSommaire du Match
77 - 2022-11-20552Manitoba Moose5Rochester Americans3LSommaire du Match
80 - 2022-11-23568Rochester Americans7Manitoba Moose5WSommaire du Match
82 - 2022-11-25584Houston Aeros9Rochester Americans3LSommaire du Match
84 - 2022-11-27591Rochester Americans2Providence Bruins3LSommaire du Match
86 - 2022-11-29614San Antonio Rampage7Rochester Americans1LSommaire du Match
87 - 2022-11-30625Rochester Americans4Trois-Rivières Lions6LSommaire du Match
89 - 2022-12-02648Oklahoma City Barons7Rochester Americans5LSommaire du Match
92 - 2022-12-05665Rochester Americans4Oklahoma City Barons3WXXSommaire du Match
94 - 2022-12-07677Rochester Americans2Blainville-Boisbriand Armada6LSommaire du Match
95 - 2022-12-08688Rouyn-Noranda Huskies1Rochester Americans2WSommaire du Match
100 - 2022-12-13714Adirondack Phantoms1Rochester Americans2WSommaire du Match
103 - 2022-12-16739Rochester Americans1Henderson Silver Knights3LSommaire du Match
104 - 2022-12-17751Charlotte Checkers4Rochester Americans5WXSommaire du Match
107 - 2022-12-20770Rochester Americans1Charlotte Checkers3LSommaire du Match
109 - 2022-12-22782Norfolk Admirals1Rochester Americans3WSommaire du Match
112 - 2022-12-25802Rochester Americans4Charlotte Checkers3WXXSommaire du Match
113 - 2022-12-26815Trois-Rivières Lions5Rochester Americans3LSommaire du Match
115 - 2022-12-28840Rochester Americans2Connecticut Whale5LSommaire du Match
116 - 2022-12-29849Milwaukee Admirals6Rochester Americans2LSommaire du Match
119 - 2023-01-01871Rochester Americans1Norfolk Admirals3LSommaire du Match
121 - 2023-01-03882Nunavik Natturaliit2Rochester Americans3WXXSommaire du Match
123 - 2023-01-05907Connecticut Whale4Rochester Americans3LSommaire du Match
126 - 2023-01-08925Rochester Americans5Gatineau Olympiques4WSommaire du Match
127 - 2023-01-09937Rochester Americans2Blainville-Boisbriand Armada5LSommaire du Match
130 - 2023-01-12950Providence Bruins2Rochester Americans3WSommaire du Match
132 - 2023-01-14968Rochester Americans4Verdun Junior2WSommaire du Match
134 - 2023-01-16981Wilkes-Barre/Scranton Penguins1Rochester Americans2WXXSommaire du Match
136 - 2023-01-18995Rochester Americans2Laval Chiefs4LSommaire du Match
138 - 2023-01-201008Rochester Americans0Grand Rapids Griffins4LSommaire du Match
140 - 2023-01-221019Blainville-Boisbriand Armada8Rochester Americans5LSommaire du Match
143 - 2023-01-251039Rochester Americans2Houston Aeros0WSommaire du Match
145 - 2023-01-271051Grand Rapids Griffins3Rochester Americans2LXXSommaire du Match
147 - 2023-01-291068Rochester Americans-Norfolk Admirals-
149 - 2023-01-311081Rochester Americans-Albany Devils-
150 - 2023-02-011091Lake Erie Monsters-Rochester Americans-
152 - 2023-02-031110Rochester Americans-Binghamton Senators-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
154 - 2023-02-051124Charlotte Checkers-Rochester Americans-
156 - 2023-02-071143Rochester Americans-Grand Rapids Griffins-
157 - 2023-02-081154Henderson Silver Knights-Rochester Americans-
159 - 2023-02-101165Rochester Americans-Mercer Island Hafgufa-
162 - 2023-02-131185Rochester Americans-Roberval Dwarfs-
163 - 2023-02-141189Henderson Silver Knights-Rochester Americans-
166 - 2023-02-171220Springfield Falcons-Rochester Americans-
170 - 2023-02-211250Mercer Island Hafgufa-Rochester Americans-
175 - 2023-02-261279Binghamton Senators-Rochester Americans-
176 - 2023-02-271283Rochester Americans-Manitoba Moose-
183 - 2023-03-061318Springfield Falcons-Rochester Americans-
188 - 2023-03-111344Mercer Island Hafgufa-Rochester Americans-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3522
Assistance63,96631,987
Assistance PCT99.95%99.96%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
9 2999 - 99.95% 91,954$2,942,524$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,499,848$ 2,881,500$ 2,881,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
15,086$ 2,167,116$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la Saison Dépenses Par JourDépenses de la Saison Éstimées
827,585$ 46 24,249$ 1,115,454$




LigueDomicileVisiteur
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