Rochester Americans

GP: 5 | W: 4 | L: 1 | OTL: 0 | P: 8
GF: 21 | GA: 10 | PP%: 24.32% | PK%: 88.89%
DG: Frederic Goldstyn | Morale : 99 | Moyenne d'Équipe : N/A
Prochain matchs #60 vs Milwaukee 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
1Anton SlepyshevXX100.0089505977725763565062596050505019600
2John Quenneville (R)X100.0058506278726667705070586250505019700
3Devin Setoguchi (R)XX100.0057508770746061695064595350727519600
4Peter Cehlarik (R)XX100.0058506370756964705664555350505019600
5Cory Conacher (R)XX100.0050635674636869705060616158606119600
6Zach Sanford (R)XX100.0058508574715763595060595950505019500
7Greg CareyX100.0057716770717268627856656562505019400
8Casey Nelson (R)X100.0059506574696160635050556250505016400
9Erik CondraXX100.0052508774705465585050556550687017800
10Taylor BeckXX100.0058757266756969725060646861555618700
11Shane HarperXX100.0059505972695666595057665950505018400
12Teddy PurcellXX100.0058507867836266605063556150737518600
13Oliver Kylington (R)X100.0056676772676367522557596150505018200
14Robbie RussoX100.0062507576707178622550506950505019600
15Jyrki JokipakkaX100.0055507175776967562561616650606019600
16Kevin GravelX100.0067507470696375692551506350505019600
17Mark StreitX100.0072508885828382872574637550808217900
18Blake Siebenaler (R)X100.0064757266756367502550506250505018600
19Julius HonkaX100.0071508789677286752563606150707019400
Rayé
1Cameron DarcyX100.0074706562705862506150506150505012400
2Eric Cornel (R)X100.0055726462727168506150506250505012500
3Conner Bleackley (R)X100.0055706762706163506350506250505012500
4Vaclav Karabacek (R)XX100.0058716260715560535050516350505012400
5Justin HollX100.0056666763666869502550505950505012500
6Vojtech MozikX100.0057736166736669502550506150505012500
7Reece ScarlettX100.0054665962666467522557505850505012400
MOYENNE D'ÉQUIPE100.006059707172656861435756625155561720
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
1Charlie Lindgren100.006670677270716870717131696719300
2Marek Mazanec100.007180877668736670707031716918400
Rayé
1Jussi Olkinuora100.005779706667686763646446616318100
MOYENNE D'ÉQUIPE100.00657675716871676868683667661860
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Stevens57806960657067CAN522100,000$


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'ÉquipePOS GP 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
1Greg CareyRochester Americans (Buf)C53472209131211425.00%010120.361235270000120060.40%10100001.3800000201
2Mark StreitRochester Americans (Buf)D525718051422489.09%311923.992462030000018000.00%000001.1700000011
3Devin SetoguchiRochester Americans (Buf)LW/RW52352000881525.00%08717.45011226000001016.67%600001.1500000000
4Kevin GravelRochester Americans (Buf)D523534014232166.67%57214.421122400003000.00%000001.3900000100
5Julius HonkaRochester Americans (Buf)D52351407463633.33%311923.88202627000021100.00%000000.8400000110
6Peter CehlarikRochester Americans (Buf)LW/RW52241002873628.57%06813.7701103000020025.00%400001.1600000000
7Jyrki JokipakkaRochester Americans (Buf)D5044120457410.00%510821.74011325000021000.00%000000.7400000000
8Taylor BeckRochester Americans (Buf)LW/RW522404034103520.00%310420.811235270000270080.00%1000000.7700000000
9Teddy PurcellRochester Americans (Buf)LW/RW5044000414140.00%07314.6802222700000000.00%200001.0900000000
10John QuennevilleRochester Americans (Buf)C5213280106123816.67%011523.131016250001230037.72%11400000.5200000010
11Anton SlepyshevRochester Americans (Buf)LW/RW511216013541925.00%07214.5701102000061042.11%1900000.5500000010
12Cory ConacherRochester Americans (Buf)C/LW511220084911011.11%010220.530002270001120055.56%900000.3900000000
13Blake SiebenalerRochester Americans (Buf)D50223120422000.00%67414.800000100008000.00%000000.5400000001
14Zach SanfordRochester Americans (Buf)C/LW5011100043130.00%26212.6000000000000031.82%6600000.3200000000
15Casey NelsonRochester Americans (Buf)C510100021112100.00%0132.7210115000031044.44%900001.4700000000
16Erik CondraRochester Americans (Buf)C/LW510120015100100.00%0214.3200000000000022.58%3100000.9300000000
17Robbie RussoRochester Americans (Buf)D5011160643040.00%310521.12011225000018000.00%000000.1900000000
18Shane HarperRochester Americans (Buf)LW/RW5011220413010.00%0214.320000000000000.00%000000.9300000000
Stats d'équipe Total ou en Moyenne90213859255809691117298717.95%30144616.07916255628800021804042.86%37100000.8200000443
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
1Marek MazanecRochester Americans (Buf)54100.9132.0129900101150100.000050000
Stats d'équipe Total ou en Moyenne54100.9132.0129900101150100.000050000


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Anton SlepyshevRochester Americans (Buf)LW/RW221994-05-12No194 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Blake SiebenalerRochester Americans (Buf)D201996-02-26Yes208 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Cameron DarcyRochester Americans (Buf)C221994-03-02No192 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Casey NelsonRochester Americans (Buf)C241992-07-18Yes183 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Charlie LindgrenRochester Americans (Buf)G231993-12-17No181 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Conner BleackleyRochester Americans (Buf)C201996-02-06Yes192 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Cory ConacherRochester Americans (Buf)C/LW271989-12-14Yes180 Lbs5 ft8NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Devin SetoguchiRochester Americans (Buf)LW/RW301987-01-01Yes205 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No500,000$
Eric CornelRochester Americans (Buf)LW201996-04-10Yes191 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Erik CondraRochester Americans (Buf)C/LW301986-08-06No190 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm350,000$0$0$No350,000$350,000$350,000$
Greg CareyRochester Americans (Buf)C261990-04-04No195 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
John QuennevilleRochester Americans (Buf)C201996-04-16Yes195 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Julius HonkaRochester Americans (Buf)D211995-12-02No185 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$
Jussi OlkinuoraRochester Americans (Buf)G261990-11-03No201 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Justin HollRochester Americans (Buf)D241992-01-30No170 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Jyrki JokipakkaRochester Americans (Buf)D251991-08-19No210 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Kevin GravelRochester Americans (Buf)D241992-03-05No185 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Marek MazanecRochester Americans (Buf)G251991-07-17No187 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Mark StreitRochester Americans (Buf)D391977-12-10No191 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm4,000,000$0$0$No4,000,000$
Oliver KylingtonRochester Americans (Buf)D191997-05-19Yes181 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Peter CehlarikRochester Americans (Buf)LW/RW211995-05-12Yes202 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Reece ScarlettRochester Americans (Buf)D231993-03-31No180 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Robbie RussoRochester Americans (Buf)D231993-02-15No190 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm925,000$0$0$No
Shane HarperRochester Americans (Buf)LW/RW271989-02-01No193 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Taylor BeckRochester Americans (Buf)LW/RW251991-05-13No203 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Teddy PurcellRochester Americans (Buf)LW/RW311985-09-07No198 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm2,500,000$0$0$No
Vaclav KarabacekRochester Americans (Buf)C/LW201996-05-01Yes199 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Vojtech MozikRochester Americans (Buf)D241992-12-26No196 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Zach SanfordRochester Americans (Buf)C/LW221994-11-09Yes185 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2924.24192 Lbs6 ft12.62602,586$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Taylor BeckJohn QuennevilleTeddy Purcell40122
2Cory ConacherGreg CareyDevin Setoguchi30122
3Peter CehlarikZach SanfordAnton Slepyshev20122
4Shane HarperErik CondraJohn Quenneville10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark StreitJulius Honka40122
2Jyrki JokipakkaRobbie Russo30122
3Kevin GravelBlake Siebenaler20122
4Mark StreitJulius Honka10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Taylor BeckJohn QuennevilleTeddy Purcell60122
2Cory ConacherGreg CareyDevin Setoguchi40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark StreitJulius Honka60122
2Jyrki JokipakkaRobbie Russo40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1John QuennevilleTaylor Beck60122
2Greg CareyCory Conacher40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark StreitJulius Honka60122
2Jyrki JokipakkaRobbie Russo40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1John Quenneville60122Mark StreitJulius Honka60122
2Taylor Beck40122Jyrki JokipakkaRobbie Russo40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1John QuennevilleTaylor Beck60122
2Greg CareyCory Conacher40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark StreitJulius Honka60122
2Jyrki JokipakkaRobbie Russo40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Taylor BeckJohn QuennevilleTeddy PurcellMark StreitJulius Honka
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Taylor BeckJohn QuennevilleTeddy PurcellMark StreitJulius Honka
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Casey Nelson, Peter Cehlarik, Anton SlepyshevCasey Nelson, Peter CehlarikAnton Slepyshev
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kevin Gravel, Blake Siebenaler, Jyrki JokipakkaKevin GravelBlake Siebenaler, Jyrki Jokipakka
Tirs de Pénalité
John Quenneville, Taylor Beck, Greg Carey, Cory Conacher, Teddy Purcell
Gardien
#1 : Marek Mazanec, #2 : Charlie Lindgren


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
1Abbotsford Heat541000002110113210000013762200000083580.8002138590010380117334737011530589637924.32%27388.89%06013644.12%7015844.30%297737.66%13191108336033
Total541000002110113210000013762200000083580.8002138590010380117334737011530589637924.32%27388.89%06013644.12%7015844.30%297737.66%13191108336033
_Since Last GM Reset541000002110113210000013762200000083580.8002138590010380117334737011530589637924.32%27388.89%06013644.12%7015844.30%297737.66%13191108336033
_Vs Conference541000002110113210000013762200000083580.8002138590010380117334737011530589637924.32%27388.89%06013644.12%7015844.30%297737.66%13191108336033

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
58W421385911711530589600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
54100002110
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3210000137
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
220000083
Derniers 10 Matchs
WLOTWOTL SOWSOL
410000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
37924.32%27388.89%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
334737010380
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
6013644.12%7015844.30%297737.66%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13191108336033


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
2 - 2018-04-087Abbotsford Heat5Rochester Americans4LSommaire du Match
4 - 2018-04-1015Abbotsford Heat1Rochester Americans3WSommaire du Match
6 - 2018-04-1223Rochester Americans3Abbotsford Heat1WSommaire du Match
8 - 2018-04-1431Rochester Americans5Abbotsford Heat2WSommaire du Match
10 - 2018-04-1639Abbotsford Heat1Rochester Americans6WSommaire du Match
16 - 2018-04-2260Rochester Americans-Milwaukee Admirals-
18 - 2018-04-2464Rochester Americans-Milwaukee Admirals-
20 - 2018-04-2668Milwaukee Admirals-Rochester Americans-
22 - 2018-04-2872Milwaukee Admirals-Rochester Americans-
24 - 2018-04-3076Rochester Americans-Milwaukee Admirals-
26 - 2018-05-0280Milwaukee Admirals-Rochester Americans-
28 - 2018-05-0484Rochester Americans-Milwaukee Admirals-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 174,750$ 170,562$ 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$ 13 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
12541000002110113210000013762200000083582138590010380117334737011530589637924.32%27388.89%06013644.12%7015844.30%297737.66%13191108336033
Total Séries541000002110113210000013762200000083582138590010380117334737011530589637924.32%27388.89%06013644.12%7015844.30%297737.66%13191108336033