Rochester Americans

GP: 82 | W: 47 | L: 31 | OTL: 4 | P: 98
GF: 398 | GA: 371 | PP%: 35.89% | PK%: 62.70%
DG: Charles Vigneault | Morale : 64 | Moyenne d'Équipe : 59
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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
1Peter HollandXXX100.007676777276798269806565716264646852660
2Tyler Benson (R)X100.007470827170788167507358655544446682630
3Michael ChaputX100.008245867375598458806355782560606568630
4Seth GriffithX100.007367877167808465506660655749496685630
5Andreas MartinsenXXX100.009948836882518459386156712564646474620
6Alex BroadhurstX100.007263926063727562786256655355556279600
7Christoffer Ehn (R)XXX100.007744966470577955535754762550506566590
8Nathan BastianX100.007882696482778355504561645844446284590
9Anton BlidhXX100.007173656973829053504751634856565885590
10Zach SenyshynX100.007671896771778355504758635544446249580
11Rhett Gardner (R)XX100.008583916883484756704661685844446264570
12Jake Lucchini (R)X100.007666996266525256504463636044446182550
13Carson SoucyX100.007679787480738454254850753954555488650
14Joseph MorrowX100.007356857772636653255247622559605884610
15Dominik MasinX100.007273717173788746253640613852525283600
16Brett LernoutX100.008180837480596346253341663955555384600
17Austin Strand (R)X100.008281846681687252254346654444445759600
Rayé
1David Pope (R)X100.007570876670525446504146604444445339510
2Steven KampferX100.007844826870655364254950642561615942600
3Brandon CrawleyX100.006875516675687351254341613955555338580
4Connor HobbsX100.006769636869636751254441603953535320560
5Mason GeertsenX100.006779396579748149254141573944445219560
6Niko Mikkola (R)X100.007471825971697645253539593744445020550
7Sam Jardine (R)X100.007176586876636846253740583844445120550
8Keaton ThompsonX100.006967746267697645253639573745455020540
9Blake Hillman (R)X100.007468895968616643253239593744445020530
MOYENNE D'ÉQUIPE100.00766879677367735441485064425151585859
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
1Connor Ingram (R)100.00646075766675647175733044446875660
2Mike Condon100.00445164764043505244453059594732510
Rayé
1Evan Fitzpatrick (R)100.00535771825153555953533044445457560
MOYENNE D'ÉQUIPE100.0054567078525756615757304949565558
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ben Simon56685150494353USA38160,000$


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
1Seth GriffithRochester Americans (CHI)RW826569134214210013413338613625516.84%57182022.201628444616002241069549.65%2889241071.4747551013130
2Tyler BensonRochester Americans (CHI)LW7440721122102801098731313719412.78%43142819.30142640391270115506443.07%1377845011.5736934574
3Michael ChaputRochester Americans (CHI)C734060100438201121712377516216.88%40148720.3781523211173035905158.24%17415850021.3405031738
4Andreas MartinsenRochester Americans (CHI)C/LW/RW714246881444201101072646614115.91%47131718.5661117206840491014144.20%4146030131.3400022564
5Christoffer EhnRochester Americans (CHI)C/LW/RW823546811455951061915811218.32%42129815.83751216890113872247.35%2263536011.2500001258
6Alex BroadhurstRochester Americans (CHI)C82324779111515701372216914114.48%33120214.662136451124335156.13%7023831001.3111021611
7Peter HollandRochester Americans (CHI)C/LW/RW43254267101127064811806311913.89%2890220.984131712690002450159.38%10884025011.4912239323
8Nathan BastianRochester Americans (CHI)RW8225305542041301371091805511513.89%43131416.023589830115473247.46%595037100.84119611232
9Joseph MorrowRochester Americans (CHI)D735374287735849511938394.20%113180624.7521012181550112101110.00%03754000.4600214001
10Anton BlidhRochester Americans (CHI)LW/RW82251742-214410012189148538416.89%32119414.57145346000052053.19%473327000.7000866112
11Rhett GardnerRochester Americans (CHI)C/LW721622381614106274147489010.88%1680311.16011110113321059.18%1962924000.9500101201
12Carson SoucyRochester Americans (CHI)D5642731-31937577756328246.35%75120921.59224887011185100.00%01045000.5100933100
13Austin StrandRochester Americans (CHI)D74722298876568918522338.24%91133718.08516869011196000.00%0754000.4300355002
14Jake LucchiniRochester Americans (CHI)LW811315281455445098325413.27%187309.020222200001270145.83%241916000.7722100013
15Steven KampferRochester Americans (CHI)D63225270562082799230512.17%93133221.1523541060111102010.00%0756000.4100201022
16Dominik MasinRochester Americans (CHI)D8232326211549067857832323.85%85145317.730116670111121100.00%0942000.3600359000
17Brett LernoutRochester Americans (CHI)D82719261311080547759382711.86%84135016.483254320113103100.00%0650000.3800664000
18Brandon CrawleyRochester Americans (CHI)D520161626964030352610140.00%3763712.25022027011014000.00%3317000.5000044000
19David PopeRochester Americans (CHI)LW50325107540241841316.67%113547.09000060000130047.06%3428000.2800010003
20Connor HobbsRochester Americans (CHI)D24011575591310.00%61576.570000000002000.00%002000.1300001000
21Mason GeertsenRochester Americans (CHI)D20101-158305564316.67%51628.110000000007000.00%001000.1200123001
22Zach SenyshynRochester Americans (CHI)RW3000000224100.00%03411.3900000000000075.00%411000.0000000000
23Niko MikkolaRochester Americans (CHI)D14000-100432100.00%0815.82000030000000100.00%101000.0000000000
24Sam JardineRochester Americans (CHI)D5000-200020210.00%1377.440000000001000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne14223906381028173167010001576172629181005170513.37%10002345416.4975132207223139081422501278412055.32%49646146932150.881224615780474445
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
1Connor IngramRochester Americans (CHI)58321740.8894.0233156022219971019320.455115615501
2Evan FitzpatrickRochester Americans (CHI)32141200.8704.97157020130998585400.77892650000
Stats d'équipe Total ou en Moyenne90462940.8824.3248868035229951604720.600208265501


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 Cap 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
Alex BroadhurstRochester Americans (CHI)C251993-03-06No178 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien
Andreas MartinsenRochester Americans (CHI)C/LW/RW281990-06-12No220 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien
Anton BlidhRochester Americans (CHI)LW/RW231995-03-14No201 Lbs6 ft0NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Austin StrandRochester Americans (CHI)D211997-02-17Yes216 Lbs6 ft4NoNoNo2Pro & Farm759,166$0$0$No759,166$Lien
Blake HillmanRochester Americans (CHI)D221996-01-26Yes181 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien
Brandon CrawleyRochester Americans (CHI)D211997-02-02No203 Lbs6 ft2NoNoNo2Pro & Farm770,000$0$0$No770,000$Lien
Brett LernoutRochester Americans (CHI)D221995-09-23No213 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$NoLien
Carson SoucyRochester Americans (CHI)D231994-07-27No208 Lbs6 ft5NoNoNo1Pro & Farm925,000$0$0$NoLien
Christoffer EhnRochester Americans (CHI)C/LW/RW221996-04-05Yes181 Lbs6 ft3NoNoNo2Pro & Farm759,167$0$0$No759,167$Lien
Connor HobbsRochester Americans (CHI)D211997-01-04No187 Lbs6 ft1NoNoNo2Pro & Farm772,000$0$0$No772,000$Lien
Connor IngramRochester Americans (CHI)G211997-03-31Yes204 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien
David PopeRochester Americans (CHI)LW231994-09-27Yes187 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Dominik MasinRochester Americans (CHI)D221996-01-31No198 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Evan FitzpatrickRochester Americans (CHI)G201998-01-27Yes206 Lbs6 ft3NoNoNo3Pro & Farm770,000$0$0$No770,000$770,000$Lien
Jake LucchiniRochester Americans (CHI)LW231995-05-10Yes183 Lbs5 ft11NoNoNo2Pro & Farm792,500$0$0$No792,500$Lien
Joseph MorrowRochester Americans (CHI)D251992-12-09No196 Lbs6 ft0NoNoNo1Pro & Farm825,000$0$0$NoLien
Keaton ThompsonRochester Americans (CHI)D221995-09-14No182 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLien
Mason GeertsenRochester Americans (CHI)D231995-04-18No215 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien
Michael ChaputRochester Americans (CHI)C261992-04-08No204 Lbs6 ft2NoNoNo1Pro & Farm675,000$0$0$NoLien
Mike CondonRochester Americans (CHI)G281990-04-26No195 Lbs6 ft2NoNoNo1Pro & Farm2,400,000$0$0$NoLien
Nathan BastianRochester Americans (CHI)RW201997-12-06No205 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$NoLien
Niko MikkolaRochester Americans (CHI)D241994-04-26Yes184 Lbs6 ft4NoNoNo2Pro & Farm842,500$0$0$No842,500$Lien
Peter HollandRochester Americans (CHI)C/LW/RW271991-01-14No205 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Rhett GardnerRochester Americans (CHI)C/LW221996-02-28Yes229 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Sam JardineRochester Americans (CHI)D241993-08-12Yes209 Lbs6 ft2NoNoNo1Pro & Farm575,000$0$0$NoLien
Seth GriffithRochester Americans (CHI)RW251993-01-04No191 Lbs5 ft9NoNoNo1Pro & Farm700,000$0$0$NoLien
Steven KampferRochester Americans (CHI)D291988-09-24No195 Lbs5 ft11NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Tyler BensonRochester Americans (CHI)LW201998-03-15Yes192 Lbs6 ft0NoNoNo1Pro & Farm808,333$0$0$NoLien
Zach SenyshynRochester Americans (CHI)RW211997-03-30No192 Lbs6 ft1NoNoNo1Pro & Farm863,333$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2923.21199 Lbs6 ft21.45837,483$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tyler BensonPeter HollandSeth Griffith40122
2Andreas MartinsenMichael ChaputNathan Bastian30122
3Christoffer EhnAlex BroadhurstZach Senyshyn20122
4Jake LucchiniRhett GardnerAnton Blidh10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carson SoucyJoseph Morrow40122
2Dominik Masin30122
3Brett LernoutAustin Strand20122
4Carson SoucyJoseph Morrow10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andreas MartinsenMichael ChaputSeth Griffith60122
2Christoffer EhnAlex BroadhurstNathan Bastian40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carson SoucyJoseph Morrow60122
2Dominik Masin40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Seth GriffithMichael Chaput60122
2Andreas MartinsenAlex Broadhurst40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carson SoucyJoseph Morrow60122
2Dominik Masin40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Seth Griffith60122Carson SoucyJoseph Morrow60122
2Michael Chaput40122Dominik Masin40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Seth GriffithMichael Chaput60122
2Andreas MartinsenAlex Broadhurst40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carson SoucyJoseph Morrow60122
2Dominik Masin40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andreas MartinsenMichael ChaputSeth GriffithCarson SoucyJoseph Morrow
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andreas MartinsenMichael ChaputSeth GriffithCarson SoucyJoseph Morrow
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Peter Holland, Tyler Benson, Seth GriffithSeth Griffith, Anton BlidhPeter Holland
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brett Lernout, Austin Strand, Carson SoucyBrett LernoutAustin Strand, Brett Lernout
Tirs de Pénalité
Seth Griffith, Michael Chaput, Andreas Martinsen, Alex Broadhurst, Nathan Bastian
Gardien
#1 : Connor Ingram, #2 : Mike Condon


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
1Binghampton Senators312000001016-61010000034-121100000712-520.3331015250081156152179988510241027371183585604125.00%10460.00%1926170454.34%1006190952.70%866154156.20%167891117177591565793
2Boisbriand Armada31101000141401010000057-22100100097240.667142337008115615217115885102410273712440476010220.00%11463.64%0926170454.34%1006190952.70%866154156.20%167891117177591565793
3Brampton Battalion412010002329-6211000001113-2201010001216-440.500234063008115615217135885102410273718054996513430.77%17758.82%1926170454.34%1006190952.70%866154156.20%167891117177591565793
4Bridgeport Sound Tigers20101000911-21010000047-31000100054120.50091524008115615217698851024102737703158455120.00%4325.00%0926170454.34%1006190952.70%866154156.20%167891117177591565793
5Calgary Hitman41100002811-31010000013-23100000278-140.5008111900811561521713788510241027371233852938112.50%12283.33%1926170454.34%1006190952.70%866154156.20%167891117177591565793
6Chicago Wolves220000001486110000007431100000074341.000142135008115615217768851024102737892169506350.00%7271.43%0926170454.34%1006190952.70%866154156.20%167891117177591565793
7Chicoutimi Sagueneens2110000059-41010000018-71100000041320.5005914008115615217708851024102737732537453266.67%7357.14%0926170454.34%1006190952.70%866154156.20%167891117177591565793
8Drummondville Voltigeurs422000001717020200000611-522000000116540.50017274400811561521712288510241027371685385697342.86%10370.00%0926170454.34%1006190952.70%866154156.20%167891117177591565793
9Grand Rapids Griffins3210000021156211000001011-111000000114740.66721345500811561521713788510241027371084127759777.78%6266.67%1926170454.34%1006190952.70%866154156.20%167891117177591565793
10Hartford Wolf Pack31200000131302110000010911010000034-120.33313213400811561521710488510241027371154326513133.33%8275.00%0926170454.34%1006190952.70%866154156.20%167891117177591565793
11Hershey Bears211000008801010000025-31100000063320.500813210081156152177688510241027377631413512216.67%3166.67%0926170454.34%1006190952.70%866154156.20%167891117177591565793
12Lake Erie Monsters32100000171252110000089-11100000093640.66717324900811561521710688510241027379644464710330.00%3166.67%0926170454.34%1006190952.70%866154156.20%167891117177591565793
13Las Vegas Wranglers413000001726-9312000001618-21010000018-720.2501728451081156152171468851024102737174541387610440.00%14935.71%0926170454.34%1006190952.70%866154156.20%167891117177591565793
14Laval Rockets201000101011-11010000057-21000001054120.500101323008115615217838851024102737663715393266.67%5340.00%0926170454.34%1006190952.70%866154156.20%167891117177591565793
15London Knights311000011920-111000000107320100001913-430.5001930490081156152171318851024102737120411286310220.00%9455.56%0926170454.34%1006190952.70%866154156.20%167891117177591565793
16Lowell Devils31000110131121000010045-12100001096350.8331321340081156152179688510241027371182719645240.00%7357.14%0926170454.34%1006190952.70%866154156.20%167891117177591565793
17Manitoba Moose3100101014113110000005412000101097261.00014193300811561521712388510241027371032761538112.50%8362.50%0926170454.34%1006190952.70%866154156.20%167891117177591565793
18Milwaukee Admirals321000001815322000000161061010000025-340.667183149008115615217139885102410273711424955411654.55%10460.00%1926170454.34%1006190952.70%866154156.20%167891117177591565793
19Peoria Riverman22000000176111100000073411000000103741.0001726430081156152176788510241027371014056418562.50%8450.00%0926170454.34%1006190952.70%866154156.20%167891117177591565793
20Philadelphia Phantoms2020000058-31010000045-11010000013-200.0005101510811561521761885102410273782262429200.00%7185.71%0926170454.34%1006190952.70%866154156.20%167891117177591565793
21Portland Pirates22000000199101100000094511000000105541.000193150008115615217768851024102737622346354250.00%30100.00%0926170454.34%1006190952.70%866154156.20%167891117177591565793
22Quebec Rempart514000001623-720200000814-63120000089-120.200162743008115615217157885102410273720074919814535.71%13469.23%0926170454.34%1006190952.70%866154156.20%167891117177591565793
23Rimouski Oceanic2110000012841010000045-11100000083520.500122133008115615217898851024102737541645325480.00%5340.00%0926170454.34%1006190952.70%866154156.20%167891117177591565793
24Seattle Thunderbirds210000101073110000005321000001054141.000101525008115615217728851024102737631713349333.33%4175.00%0926170454.34%1006190952.70%866154156.20%167891117177591565793
25Sherbrooke Phoenix3210000015123211000009811100000064240.66715264100811561521713888510241027371073758532150.00%14471.43%1926170454.34%1006190952.70%866154156.20%167891117177591565793
26Texas Stars21100000810-21010000026-41100000064220.5008132100811561521746885102410273780174039300.00%5260.00%0926170454.34%1006190952.70%866154156.20%167891117177591565793
27Toronto Marlies321000001211121100000910-11100000031240.667122133008115615217100885102410273710333102679333.33%11463.64%0926170454.34%1006190952.70%866154156.20%167891117177591565793
Total823831051433983712741182200100197209-12412090504320116239980.59839865010482081156152172949885102410273730531022169415922097535.89%2449162.70%9926170454.34%1006190952.70%866154156.20%167891117177591565793
29Victoriaville Tigres43001000211382200000012752100100096381.000213657008115615217105885102410273710152707213538.46%15660.00%2926170454.34%1006190952.70%866154156.20%167891117177591565793
30Worcester Sharks220000001376110000004221100000095441.00013213400811561521774885102410273765212148300.00%8275.00%1926170454.34%1006190952.70%866154156.20%167891117177591565793
_Since Last GM Reset823831051433983712741182200100197209-12412090504320116239980.59839865010482081156152172949885102410273730531022169415922097535.89%2449162.70%9926170454.34%1006190952.70%866154156.20%167891117177591565793
_Vs Conference49212003113220230-1024101300100118126-82511703013102104-2540.55122036858810811561521717268851024102737184660611159411264233.33%1565962.18%7926170454.34%1006190952.70%866154156.20%167891117177591565793
_Vs Division18780200076733835000003638-210430200040355180.500761242000081156152175958851024102737603212433369551323.64%551965.45%3926170454.34%1006190952.70%866154156.20%167891117177591565793

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8298L139865010482949305310221694159220
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8238315143398371
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4118220100197209
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
412095043201162
Derniers 10 Matchs
WLOTWOTL SOWSOL
541000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2097535.89%2449162.70%9
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
88510241027378115615217
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
926170454.34%1006190952.70%866154156.20%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
167891117177591565793


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
1 - 2019-10-048Toronto Marlies9Rochester Americans4LSommaire du Match
3 - 2019-10-0617Rochester Americans2Calgary Hitman1WSommaire du Match
4 - 2019-10-0735Rochester Americans2Lowell Devils1WXXSommaire du Match
6 - 2019-10-0946Las Vegas Wranglers4Rochester Americans2LSommaire du Match
7 - 2019-10-1064Rochester Americans2Calgary Hitman3LXXSommaire du Match
8 - 2019-10-1170Rochester Americans4Quebec Rempart1WSommaire du Match
10 - 2019-10-1385Drummondville Voltigeurs7Rochester Americans3LSommaire du Match
12 - 2019-10-15108Rochester Americans5Victoriaville Tigres4WXSommaire du Match
13 - 2019-10-16116Hartford Wolf Pack5Rochester Americans4LSommaire du Match
15 - 2019-10-18138Lake Erie Monsters8Rochester Americans5LSommaire du Match
16 - 2019-10-19149Rochester Americans1Binghampton Senators10LSommaire du Match
18 - 2019-10-21168Brampton Battalion9Rochester Americans5LSommaire du Match
21 - 2019-10-24188Las Vegas Wranglers6Rochester Americans4LSommaire du Match
22 - 2019-10-25199Rochester Americans8Brampton Battalion7WXSommaire du Match
23 - 2019-10-26205Rochester Americans6Manitoba Moose5WXXSommaire du Match
25 - 2019-10-28229Sherbrooke Phoenix3Rochester Americans5WSommaire du Match
27 - 2019-10-30238Rochester Americans6London Knights9LSommaire du Match
29 - 2019-11-01262Manitoba Moose4Rochester Americans5WSommaire du Match
30 - 2019-11-02269Rochester Americans6Hershey Bears3WSommaire du Match
31 - 2019-11-03286Lowell Devils5Rochester Americans4LXSommaire du Match
33 - 2019-11-05302Rochester Americans7Lowell Devils5WSommaire du Match
34 - 2019-11-06314Rochester Americans6Sherbrooke Phoenix4WSommaire du Match
36 - 2019-11-08327Sherbrooke Phoenix5Rochester Americans4LSommaire du Match
38 - 2019-11-10349Rochester Americans3Toronto Marlies1WSommaire du Match
39 - 2019-11-11357Rochester Americans4Chicoutimi Sagueneens1WSommaire du Match
40 - 2019-11-12362Brampton Battalion4Rochester Americans6WSommaire du Match
42 - 2019-11-14384Hartford Wolf Pack4Rochester Americans6WSommaire du Match
43 - 2019-11-15398Rochester Americans10Portland Pirates5WSommaire du Match
45 - 2019-11-17413Boisbriand Armada7Rochester Americans5LSommaire du Match
47 - 2019-11-19435Rochester Americans2Milwaukee Admirals5LSommaire du Match
48 - 2019-11-20446Rochester Americans1Las Vegas Wranglers8LSommaire du Match
49 - 2019-11-21454Lake Erie Monsters1Rochester Americans3WSommaire du Match
51 - 2019-11-23476Worcester Sharks2Rochester Americans4WSommaire du Match
53 - 2019-11-25497Milwaukee Admirals4Rochester Americans6WSommaire du Match
54 - 2019-11-26504Rochester Americans11Grand Rapids Griffins4WSommaire du Match
55 - 2019-11-27519Rochester Americans9Lake Erie Monsters3WSommaire du Match
57 - 2019-11-29533Milwaukee Admirals6Rochester Americans10WSommaire du Match
59 - 2019-12-01550Rochester Americans6Binghampton Senators2WSommaire du Match
60 - 2019-12-02566London Knights7Rochester Americans10WSommaire du Match
62 - 2019-12-04586Laval Rockets7Rochester Americans5LSommaire du Match
64 - 2019-12-06601Rochester Americans3Calgary Hitman4LXXSommaire du Match
65 - 2019-12-07613Quebec Rempart5Rochester Americans3LSommaire du Match
67 - 2019-12-09632Rochester Americans3Manitoba Moose2WXSommaire du Match
69 - 2019-12-11644Rochester Americans10Peoria Riverman3WSommaire du Match
70 - 2019-12-12655Portland Pirates4Rochester Americans9WSommaire du Match
72 - 2019-12-14676Rochester Americans4Victoriaville Tigres2WSommaire du Match
73 - 2019-12-15685Texas Stars6Rochester Americans2LSommaire du Match
74 - 2019-12-16701Rochester Americans2Quebec Rempart4LSommaire du Match
76 - 2019-12-18718Calgary Hitman3Rochester Americans1LSommaire du Match
78 - 2019-12-20733Rochester Americans7Drummondville Voltigeurs3WSommaire du Match
79 - 2019-12-21748Rimouski Oceanic5Rochester Americans4LSommaire du Match
81 - 2019-12-23763Rochester Americans5Laval Rockets4WXXSommaire du Match
82 - 2019-12-24775Las Vegas Wranglers8Rochester Americans10WSommaire du Match
84 - 2019-12-26796Peoria Riverman3Rochester Americans7WSommaire du Match
85 - 2019-12-27803Rochester Americans5Bridgeport Sound Tigers4WXSommaire du Match
86 - 2019-12-28818Rochester Americans3London Knights4LXXSommaire du Match
88 - 2019-12-30835Chicoutimi Sagueneens8Rochester Americans1LSommaire du Match
90 - 2020-01-01846Rochester Americans4Brampton Battalion9LSommaire du Match
91 - 2020-01-02863Quebec Rempart9Rochester Americans5LSommaire du Match
92 - 2020-01-03874Rochester Americans3Hartford Wolf Pack4LSommaire du Match
94 - 2020-01-05893Philadelphia Phantoms5Rochester Americans4LSommaire du Match
96 - 2020-01-07910Rochester Americans7Chicago Wolves4WSommaire du Match
98 - 2020-01-09927Bridgeport Sound Tigers7Rochester Americans4LSommaire du Match
99 - 2020-01-10942Rochester Americans5Seattle Thunderbirds4WXXSommaire du Match
100 - 2020-01-11955Hershey Bears5Rochester Americans2LSommaire du Match
103 - 2020-01-14977Grand Rapids Griffins8Rochester Americans3LSommaire du Match
105 - 2020-01-16994Rochester Americans6Texas Stars4WSommaire du Match
106 - 2020-01-171007Victoriaville Tigres5Rochester Americans8WSommaire du Match
109 - 2020-01-201031Victoriaville Tigres2Rochester Americans4WSommaire du Match
110 - 2020-01-211035Rochester Americans6Boisbriand Armada5WSommaire du Match
112 - 2020-01-231059Chicago Wolves4Rochester Americans7WSommaire du Match
113 - 2020-01-241072Rochester Americans9Worcester Sharks5WSommaire du Match
115 - 2020-01-261083Rochester Americans4Drummondville Voltigeurs3WSommaire du Match
117 - 2020-01-281101Grand Rapids Griffins3Rochester Americans7WSommaire du Match
119 - 2020-01-301123Seattle Thunderbirds3Rochester Americans5WSommaire du Match
120 - 2020-01-311130Rochester Americans1Philadelphia Phantoms3LSommaire du Match
123 - 2020-02-031153Toronto Marlies1Rochester Americans5WSommaire du Match
124 - 2020-02-041162Rochester Americans8Rimouski Oceanic3WSommaire du Match
127 - 2020-02-071184Binghampton Senators4Rochester Americans3LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
129 - 2020-02-091202Drummondville Voltigeurs4Rochester Americans3LSommaire du Match
131 - 2020-02-111209Rochester Americans3Boisbriand Armada2WXSommaire du Match
132 - 2020-02-121221Rochester Americans2Quebec Rempart4LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance63,22532,503
Assistance PCT77.10%79.28%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2335 - 77.83% 98,137$4,023,627$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,345,719$ 2,428,700$ 2,193,700$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 2,345,719$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 18,572$ 0$




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
2019823831051433983712741182200100197209-124120905043201162399839865010482081156152172949885102410273730531022169415922097535.89%2449162.70%9926170454.34%1006190952.70%866154156.20%167891117177591565793
Total Saison Régulière823831051433983712741182200100197209-124120905043201162399839865010482081156152172949885102410273730531022169415922097535.89%2449162.70%9926170454.34%1006190952.70%866154156.20%167891117177591565793