Rochester Americans

GP: 13 | W: 6 | L: 7
GF: 55 | GA: 50 | PP%: 29.03% | PK%: 71.05%
DG: Charles Vigneault | Morale : 53 | 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
1Michael ChaputX100.008245867375598458806355782560606583640
2Andreas MartinsenXXX100.009948836882518459386156712564646483630
3Tyler Benson (R)X100.007470827170788167507358655544446686630
4Seth GriffithX100.007367877167808465506660655749496686630
5Alex BroadhurstX100.007263926063727562786256655355556286600
6Christoffer Ehn (R)XXX100.007744966470577955535754762550506583590
7Nathan BastianX100.007882696482778355504561645844446290590
8Anton BlidhXX100.007173656973829053504751634856565888590
9Zach SenyshynX100.007671896771778355504758635544446267580
10Rhett Gardner (R)XX100.008583916883484756704661685844446278570
11Markus NutivaaraX100.007543978271748959255548652560616261650
12Joseph MorrowX100.007356857772636653255247622559605887610
13Steven KampferX100.007844826870655364254950642561615954600
14Dominik MasinX100.007273717173788746253640613852525288600
15Brett LernoutX100.008180837480596346253341663955555387600
16Austin Strand (R)X100.008281846681687252254346654444445776600
17Brandon CrawleyX100.006875516675687351254341613955555350580
18Connor HobbsX100.006769636869636751254441603953535332570
19Mason GeertsenX100.006779396579748149254141573944445231570
Rayé
1Jake Lucchini (R)X100.007666996266525256504463636044446176550
2David Pope (R)X100.007570876670525446504146604444445336510
3Carson SoucyX100.007679787480738454254850753954555479650
4Niko Mikkola (R)X100.007471825971697645253539593744445020550
5Sam Jardine (R)X100.007176586876636846253740583844445120550
6Keaton ThompsonX100.006967746267697645253639573745455020540
7Blake Hillman (R)X100.007468895968616643253239593744445020530
MOYENNE D'ÉQUIPE100.00766779687367745439484964415051586459
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)100.00646075766675647175733044446883660
2Evan Fitzpatrick (R)100.00535771825153555953533044445469560
Rayé
MOYENNE D'ÉQUIPE100.0059597379596460656463304444617661
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)RW1313122512410232388355514.77%930423.4132511250002300140.26%77136011.6400110302
2Michael ChaputRochester Americans (CHI)C1361117-200152948142812.50%724819.113256250000300152.47%263154001.3700000021
3Tyler BensonRochester Americans (CHI)LW13691531515181354243011.11%1224618.9700000000021178.57%14202001.2200111210
4Andreas MartinsenRochester Americans (CHI)C/LW/RW137714-240211246112215.22%923017.760332250001113038.89%18145001.2100000110
5Joseph MorrowRochester Americans (CHI)D1311011-4601716214154.76%3036327.94123127000229000.00%01514000.6100000001
6Christoffer EhnRochester Americans (CHI)C/LW/RW13561152091823101221.74%116012.35011218000000066.67%645001.3700000110
7Alex BroadhurstRochester Americans (CHI)C13371050010925101512.00%217413.391122180000120049.40%8354001.1500000020
8Zach SenyshynRochester Americans (CHI)RW1332547583195815.79%314010.800000000000000.00%492000.7100001011
9Nathan BastianRochester Americans (CHI)RW1323501551716145714.29%620415.69112618000001052.94%1754000.4900100000
10Anton BlidhRochester Americans (CHI)LW/RW132353751415268227.69%11299.9400002000000050.00%483000.7700001000
11Peter HollandBlackhawksC/LW/RW5134-255310251164.00%49919.9400010000140059.85%13742000.8000010000
12Austin StrandRochester Americans (CHI)D13044440111310570.00%1717713.620000000007000.00%009000.4500000000
13Rhett GardnerRochester Americans (CHI)C/LW1322422753123814205.26%21219.3800000000000048.48%3381000.6600001000
14Carson SoucyRochester Americans (CHI)D6033-521511105540.00%2015926.6201101600008000.00%048000.3800010000
15Brett LernoutRochester Americans (CHI)D130333201089270.00%917213.290000000002000.00%0010000.3500000000
16Dominik MasinRochester Americans (CHI)D1302271351915184100.00%1726520.40000117000021000.00%0114000.1500100000
17Jake LucchiniRochester Americans (CHI)LW51122201312548.33%15110.290000000000000.00%231000.7800000000
Stats d'équipe Total ou en Moyenne1985288140241546021022548116228210.81%150324916.41913223219600061605351.82%65812894010.8600444785
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)136340.9003.708100050501267000.0000130000
Stats d'équipe Total ou en Moyenne136340.9003.708100050501267000.0000130000


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
Markus NutivaaraRochester Americans (CHI)D241994-06-06No191 Lbs6 ft1NoNoNo3Pro & Farm2,700,000$0$0$No2,700,000$2,700,000$Lien
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
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
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
2822.93198 Lbs6 ft21.54860,250$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tyler BensonSeth Griffith40122
2Andreas MartinsenMichael ChaputNathan Bastian30122
3Christoffer EhnAlex BroadhurstZach Senyshyn20122
4Rhett GardnerAnton Blidh10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joseph Morrow40122
2Dominik Masin30122
3Brett LernoutAustin Strand20122
4Joseph 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
1Joseph 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
1Joseph Morrow60122
2Dominik Masin40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Seth Griffith60122Joseph 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
1Joseph Morrow60122
2Dominik Masin40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andreas MartinsenMichael ChaputSeth GriffithJoseph Morrow
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andreas MartinsenMichael ChaputSeth GriffithJoseph Morrow
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Tyler Benson, Seth GriffithSeth Griffith, Anton Blidh
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brett Lernout, Austin Strand, Brett LernoutAustin Strand, Brett Lernout
Tirs de Pénalité
Seth Griffith, Michael Chaput, Andreas Martinsen, Alex Broadhurst, Nathan Bastian
Gardien
#1 : Connor Ingram, #2 :


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
1Boisbriand Armada7430000028253431000001914531200000911-280.5712849770011202312561501741821725610710713723626.09%21766.67%012527445.62%15131448.09%10322146.61%271157298131242111
2Calgary Hitman6240000027252312000001213-1312000001512340.333274976001120231267150174182172457369998337.50%17476.47%012527445.62%15131448.09%10322146.61%271157298131242111
Total1367000005550574300000312746240000024231120.46255981530011202315231501741821750118017623631929.03%381171.05%012527445.62%15131448.09%10322146.61%271157298131242111
_Since Last GM Reset1367000005550574300000312746240000024231120.46255981530011202315231501741821750118017623631929.03%381171.05%012527445.62%15131448.09%10322146.61%271157298131242111
_Vs Conference1367000005550574300000312746240000024231120.46255981530011202315231501741821750118017623631929.03%381171.05%012527445.62%15131448.09%10322146.61%271157298131242111
_Vs Division6000000027252300000001213-1300000001512300.000274976001120231267150174182172457369998337.50%17476.47%012527445.62%15131448.09%10322146.61%271157298131242111

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1312L1559815352350118017623600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
136700005550
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
74300003127
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
62400002423
Derniers 10 Matchs
WLOTWOTL SOWSOL
520300
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
31929.03%381171.05%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
150174182171120231
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
12527445.62%15131448.09%10322146.61%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
271157298131242111


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 - 2019-10-048Boisbriand Armada4Rochester Americans3LSommaire du Match
2 - 2019-10-0516Boisbriand Armada4Rochester Americans5WXSommaire du Match
3 - 2019-10-0624Rochester Americans3Boisbriand Armada4LXSommaire du Match
4 - 2019-10-0732Rochester Americans1Boisbriand Armada4LSommaire du Match
5 - 2019-10-0840Boisbriand Armada2Rochester Americans5WSommaire du Match
6 - 2019-10-0948Rochester Americans5Boisbriand Armada3WSommaire du Match
7 - 2019-10-1056Boisbriand Armada4Rochester Americans6WSommaire du Match
8 - 2019-10-1160Calgary Hitman3Rochester Americans4WSommaire du Match
9 - 2019-10-1264Calgary Hitman5Rochester Americans4LXSommaire du Match
10 - 2019-10-1368Rochester Americans3Calgary Hitman4LXSommaire du Match
11 - 2019-10-1472Rochester Americans8Calgary Hitman3WSommaire du Match
12 - 2019-10-1576Calgary Hitman5Rochester Americans4LXSommaire du Match
13 - 2019-10-1680Rochester Americans4Calgary Hitman5LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance13,2146,617
Assistance PCT94.39%94.53%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
34 2833 - 94.43% 119,571$837,000$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,408,700$ 2,010,450$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 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
Saison Régulière
201682175104541335460-12541102502211168220-524172602330167240-73343355338680094123110102381720789845422864970191814722148439.25%23610057.63%7698151346.13%789167147.22%702150546.64%154972816917891712898
2017823724065643513153641201203330184159254117120323416715611743515509012085144110173044911111397576286191474718242348737.18%2046966.18%7954180252.94%881178349.41%792139856.65%176196316447651585804
201882225003232357462-10541122103221181216-3541102900011176246-70443575829391182154115122706767942968542887946113813361928544.27%2159257.21%4804158250.82%735155347.33%774154250.19%162785816757751646833
2019823831051433983712741182200100197209-124120905043201162397639865010482081156152172949885102410273730531022169415922097535.89%2449162.70%9926170454.34%1006190952.70%866154156.20%167891117177591565793
Total Saison Régulière32811415601813171014411608-167164608008862730804-7416454760105118711804-932281441231537565134257748756110803283386838152091166538525497622484933138.99%89935260.85%273382660151.23%3411691649.32%3134598652.36%661634636728309065103328
201913670000055505743000003127462400000242311255981530011202315231501741821750118017623631929.03%381171.05%012527445.62%15131448.09%10322146.61%271157298131242111
Total Séries13670000055505743000003127462400000242311255981530011202315231501741821750118017623631929.03%381171.05%012527445.62%15131448.09%10322146.61%271157298131242111