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Connexion

Rochester
GP: 82 | W: 38 | L: 36 | OTL: 8 | P: 84
GF: 252 | GA: 255 | PP%: 14.33% | PK%: 80.56%
DG: JP Desmarais | Morale : 50 | Moyenne d’équipe : N/A

Centre de jeu
Rochester
38-36-8, 84pts
4
3 Wilkes-Barre/Scranton
48-29-5, 101pts
Team Stats
W2SéquenceW1
21-16-4Fiche domicile25-15-1
17-20-4Fiche domicile23-14-4
4-5-1Derniers 10 matchs7-2-1
3.07Buts par match 3.50
3.11Buts contre par match 2.95
14.33%Pourcentage en avantage numérique20.90%
80.56%Pourcentage en désavantage numérique81.19%
Lehigh Valley
47-28-7, 101pts
1
3 Rochester
38-36-8, 84pts
Team Stats
L1SéquenceW2
25-11-5Fiche domicile21-16-4
22-17-2Fiche domicile17-20-4
4-5-1Derniers 10 matchs4-5-1
3.33Buts par match 3.07
2.79Buts contre par match 3.11
19.25%Pourcentage en avantage numérique14.33%
83.49%Pourcentage en désavantage numérique80.56%
Meneurs d'équipe
Buts
Tobias Rieder
41
Calen AddisonPasses
Calen Addison
56
Points
Tobias Rieder
70
Plus/Moins
Brandon Sutter
22
Victoires
Thomas Greiss
22
Chris DriedgerPourcentage d’arrêts
Chris Driedger
0.92

Statistiques d’équipe
Buts pour
252
3.07 GFG
Tirs pour
2719
33.16 Avg
Pourcentage en avantage numérique
14.3%
44 GF
Début de zone offensive
39.8%
Buts contre
255
3.11 GAA
Tirs contre
2987
36.43 Avg
Pourcentage en désavantage numérique
80.6%%
69 GA
Début de la zone défensive
43.3%
Informations de l'équipe

Directeur généralJP Desmarais
EntraîneurCory Clouston
DivisionNord
ConférenceConference est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,199
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure19
Limite contact 40 / 50
Espoirs38


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Kevin HayesXX100.007440857592839773817072668270624750003221,800,000$
2Zack KassianX100.00754770658970846569676562747673155000332950,000$
3Miikka SalomakiXX100.00663086727370926272626259765853335000313775,000$
4Brandon SutterXX100.006729926576699472827472687677742450003511,720,000$
5David KrejciX100.006529904271759672526571697298781450003811,100,000$
6Justin AbdelkaderXXX100.006937764672628462556466668298831450003721,500,000$
7Martin FrkXX100.00643288767474926673646853825851375000303800,000$
8Lucas LessioXX100.00683183658672896369626361695757275000313775,000$
9Sven BaertschiXX100.006430918181838973737169618064554350003131,250,000$
10Tobias RiederXX100.006830877672879374747273707965583950003111,100,000$
11Max WillmanXX100.00713079728478866667656861756155465000293975,000$
12AJ GreerX100.00795967739273956470636562755555485000251900,000$
13Dustin ByfuglienX100.00733955388671965250465288649487135000391875,000$
14Derek MeechX100.00572586357458884427403980728268135000401750,000$
15Calen Addison (R)X100.00732787907985995872605282774744735000241800,000$
16Brendan GuhleX100.00693185869180724470414778775647435000264775,000$
17Oliver KylingtonX100.007131929480899955735649867753507250002732,200,000$
18Adam Ginning (R)X100.00695599678375994150414287704646485800242600,000$
19Albert Johansson (R)X100.00783090717779994750485088704343725000242500,000$
Rayé
MOYENNE D’ÉQUIPE100.0069358468817592616560607175666038500
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Chris Driedger100.0064798180778488848580806262475000302925,000$
2Thomas Greiss100.00568182806885878888707495992350003821,300,000$
Rayé
MOYENNE D’ÉQUIPE100.006080828073858886877577798135500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Cory Clouston79878496909973CAN5521,800,000$


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
1Tobias RiederRochester (BUF)LW/RW8141297094001051243608423311.39%24170321.031271962261000172794250.70%35900010.8214000745
2Calen AddisonRochester (BUF)D801156671038048111149621077.38%132171921.4931316822610002281100%000100.7800000222
3Sven BaertschiRochester (BUF)LW/RW8220446492605299279902337.17%11173621.1729115725900052695149.52%20800000.7413000355
4Brandon SutterRochester (BUF)C/RW7823355822260561042205317610.45%16157920.25391252250101122544451.82%71400010.7305000432
5David KrejciRochester (BUF)C8226305610140501122125413012.26%16146217.837714552590001224240.67%194500010.7700000325
6Zack KassianRochester (BUF)RW82232346611430210391934415311.92%10141917.31561142255000003041.94%12400000.6500114332
7Ilya LyubushkinBuffaloD74738458108016879146471044.79%169182024.604711702360000219200%000000.4900000033
8Kevin HayesRochester (BUF)C/LW5714294313561099117194601447.22%13138824.361673217300061913153.88%203400000.6204001333
9Max WillmanRochester (BUF)C/LW82122335238059126167511207.19%13111313.58022426000061048.26%115200000.6301000112
10Martin FrkRochester (BUF)LW/RW82161632524034671564213210.26%7105912.9200000000083047.30%7400000.6000000021
11Albert JohanssonRochester (BUF)D7982230-10380737511230697.14%138154619.58235411950003219200%000000.3900000150
12Dustin ByfuglienRochester (BUF)D82111627107601094087296412.64%136165020.12527362390112253100%000010.3300000120
13Brendan GuhleRochester (BUF)D78618249600905956135310.71%55111414.2800005000036000%000000.4300000112
14Justin AbdelkaderRochester (BUF)C/LW/RW828152364410715411332767.08%6117014.28000130000661042.13%25400000.3900011000
15Adam GinningRochester (BUF)D827162385315545554243712.96%86106512.99000412000072100%000000.4300102002
16AJ GreerRochester (BUF)LW8197162375621875135912.00%44705.8100000000051135.14%3700000.6800100111
17Lucas LessioRochester (BUF)LW/RW8278151180313368233810.29%37058.6100000000001047.39%26800000.4300000000
18Oliver KylingtonRochester (BUF)D16189140917429282.38%2437223.310222753000056000%000000.4800000000
19Miikka SalomakiRochester (BUF)LW/RW8207706012192811240%32853.4800028000060043.81%19400000.4900000001
20Derek MeechRochester (BUF)D661234007566216.67%252964.4900001000019000%000000.2000000000
Statistiques d’équipe totales ou en moyenne15102514426931258207013991353271777719829.24%8912367915.6844731175672504112482269371147.77%736300140.59217328303736
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
1Thomas GreissRochester (BUF)59222960.9163.0734636017721000330.750125724542
2Chris DriedgerRochester (BUF)2616720.9202.84149922718840000.50062556251
Statistiques d’équipe totales ou en moyenne85383680.9173.004963822482984033188280793


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
AJ GreerRochester (BUF)LW251998-09-02CANNo208 Lbs6 ft3NoNoN/ANoNo12024-09-15FalseFalsePro & Farm900,000$0$0$No---------------------------
Adam GinningRochester (BUF)D242000-01-13SWEYes188 Lbs6 ft3NoNoProspectNoNo22025-10-30FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------
Albert JohanssonRochester (BUF)D242000-01-04SWEYes168 Lbs6 ft0NoNoProspectNoNo22025-10-30FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------
Brandon SutterRochester (BUF)C/RW351989-02-14USANo192 Lbs6 ft3NoNoTrade2025-03-13NoNo12024-09-25FalseFalsePro & Farm1,720,000$0$0$No---------------------------Lien
Brendan GuhleRochester (BUF)D261997-07-29CANNo197 Lbs6 ft2NoNoN/ANoNo42025-09-09FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Calen AddisonRochester (BUF)D242000-04-11CANYes173 Lbs5 ft11NoNoTrade2024-10-08NoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien NHL
Chris DriedgerRochester (BUF)G301994-05-18CANNo208 Lbs6 ft4NoNoN/ANoNo22025-09-09FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
David KrejciRochester (BUF)C381986-04-28CZENo194 Lbs6 ft0NoNoFree AgentNoNo12024-10-07FalseFalsePro & Farm1,100,000$0$0$No---------------------------
Derek MeechRochester (BUF)D401984-04-21CANNo210 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Dustin ByfuglienRochester (BUF)D391985-03-27USANo263 Lbs6 ft5NoNoFree AgentNoNo12024-10-02FalseFalsePro & Farm875,000$0$0$No---------------------------Lien
Justin AbdelkaderRochester (BUF)C/LW/RW371987-02-25USANo212 Lbs6 ft1NoNoFree AgentNoNo22024-09-25FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------
Kevin HayesRochester (BUF)C/LW321992-05-08USANo220 Lbs6 ft5NoNoFree AgentNoNo22024-09-28FalseFalsePro & Farm1,800,000$0$0$No1,800,000$--------1,800,000$--------No--------Lien / Lien NHL
Lucas LessioRochester (BUF)LW/RW311993-01-23CANNo217 Lbs6 ft1NoNoN/ANoNo32024-09-15FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Martin FrkRochester (BUF)LW/RW301993-10-05CZENo212 Lbs6 ft1NoNoN/ANoNo32024-09-15FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Max WillmanRochester (BUF)C/LW291995-02-13USANo198 Lbs6 ft1NoNoN/ANoNo32024-09-15FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Lien NHL
Miikka SalomakiRochester (BUF)LW/RW311993-03-09FINNo211 Lbs5 ft11NoNoN/ANoNo32024-09-15FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Oliver Kylington (contrat à 1 volet)Rochester (BUF)D271997-05-19SWENo183 Lbs6 ft0NoNoN/AYesYes32024-09-15FalseFalsePro & Farm2,200,000$22,000$0$No2,200,000$2,200,000$-------2,200,000$2,200,000$-------NoNo-------Lien NHL
Sven BaertschiRochester (BUF)LW/RW311992-10-05SWINo200 Lbs5 ft11NoNoN/ANoNo32024-09-15FalseFalsePro & Farm1,250,000$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------Lien
Thomas GreissRochester (BUF)G381986-01-29GERNo221 Lbs6 ft0NoNoFree AgentNoNo22024-09-25FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------
Tobias RiederRochester (BUF)LW/RW311993-01-10GERNo196 Lbs5 ft11NoNoN/ANoNo12024-09-15FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Zack KassianRochester (BUF)RW331991-01-24CANNo211 Lbs6 ft3NoNoFree AgentNoNo22024-09-25FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2131.19204 Lbs6 ft12.051,065,238$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tobias RiederKevin HayesBrandon Sutter35122
2Sven BaertschiDavid KrejciZack Kassian30122
3Justin AbdelkaderMax WillmanMartin Frk25122
4AJ GreerKevin HayesLucas Lessio10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oliver KylingtonCalen Addison35122
2Dustin ByfuglienAlbert Johansson30122
3Brendan GuhleAdam Ginning25122
4Derek MeechOliver Kylington10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tobias RiederKevin HayesBrandon Sutter50122
2Sven BaertschiDavid KrejciZack Kassian50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oliver KylingtonCalen Addison50122
2Dustin ByfuglienAlbert Johansson50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kevin HayesBrandon Sutter50122
2Tobias RiederSven Baertschi50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oliver KylingtonCalen Addison50122
2Dustin ByfuglienAlbert Johansson50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kevin Hayes50122Oliver KylingtonCalen Addison50122
2Brandon Sutter50122Dustin ByfuglienAlbert Johansson50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kevin HayesBrandon Sutter50122
2Tobias RiederSven Baertschi50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oliver KylingtonCalen Addison50122
2Dustin ByfuglienAlbert Johansson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tobias RiederKevin HayesBrandon SutterOliver KylingtonCalen Addison
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tobias RiederKevin HayesBrandon SutterOliver KylingtonCalen Addison
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Miikka Salomaki, Max Willman, Justin AbdelkaderMiikka Salomaki, Max WillmanJustin Abdelkader
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brendan Guhle, Adam Ginning, Derek MeechBrendan GuhleAdam Ginning, Derek Meech
Tirs de pénalité
Kevin Hayes, Brandon Sutter, Tobias Rieder, Sven Baertschi, David Krejci
Gardien
#1 : Thomas Greiss, #2 : Chris Driedger
Lignes d’attaque personnalisées en prolongation
Kevin Hayes, Brandon Sutter, Tobias Rieder, Sven Baertschi, David Krejci, Max Willman, Zack Kassian, Justin Abdelkader, AJ Greer, Martin Frk
Lignes de défense personnalisées en prolongation
Oliver Kylington, Calen Addison, Dustin Byfuglien, Albert Johansson, Brendan Guhle


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Abbotsford21100000651110000004221010000023-120.50061016008792659519099018636374252127300.00%80100.00%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
2Bakersfield20101000810-21010000036-31000100054120.500813210087926597090990186363711322349222.22%11463.64%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
3Bridgeport4110100113112200010016602110000075250.6251323360187926591169099018636312047525714428.57%21290.48%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
4Charlotte504000101019-92010001056-130300000513-820.200101525008792659144909901863631876444811915.26%22577.27%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
5Cleveland51300100813-53110010067-12020000026-430.30081523108792659152909901863631714350802613.85%18288.89%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
6Coachella Valley2020000014-31010000001-11010000013-200.000112008792659409099018636371302442500.00%12375.00%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
7Eagles311010001091210010008621010000023-140.667101727008792659989099018636311238285310330.00%13376.92%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
8Grand Rapids4130000015150211000009722020000068-220.2501526410087926591349099018636312935336815213.33%14564.29%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
9Hartford422000001314-121100000910-12110000044040.5001322351187926591319099018636314447527415320.00%20575.00%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
10Hershey4400000015872200000010552200000053281.0001525400087926591169099018636313341377218422.22%14192.86%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
11Iowa22000000853110000003121100000054141.00081321008792659929099018636369201032700.00%50100.00%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
12Laval614000011624-831200000910-130200001714-730.2501627431087926591929099018636320580571102114.76%22672.73%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
13Lehigh Valley421000011091211000005412100000155050.625101929008792659128909901863631504939671200.00%16287.50%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
14Manitoba30101100811-31010000014-32000110077030.50081624008792659131909901863631102826501317.69%10460.00%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
15Ontario22000000844110000005321100000031241.000815230087926595590990186363702126399222.22%13192.31%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
16Providence41102000161512110000078-12000200097260.7501627430087926591219099018636317329307813430.77%14285.71%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
17Rockford2010010047-31010000024-21000010023-110.250461000879265961909901863639520182413215.38%7271.43%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
18San Diego523000001314-1321000009812020000046-240.4001322350087926591419099018636317349608316318.75%26773.08%11409300746.86%1514327846.19%629127949.18%1893125819916371086535
19San Jose211000007431010000023-11100000051420.500713200087926596090990186363902223336116.67%90100.00%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
20Springfield211000006601010000012-11100000054120.50061117008792659709099018636374222843600.00%13284.62%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
21Syracuse41101100181442000110077021100000117450.6251835530087926591939099018636316347427813323.08%21576.19%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
22Texas2110000067-1110000004311010000024-220.50061016008792659779099018636367228328112.50%40100.00%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
23Utica 440000002291322000000112922000000117481.0002241630087926591769099018636313338346012433.33%17288.24%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
24Wilkes-Barre/Scranton513000011118-72010000146-231200000712-530.300112031008792659170909901863632036164842428.33%25676.00%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
Total82303607414252255-341171603212130121941132004202122134-12840.512252442694328792659271990990186363298789182814013074414.33%3556980.56%11409300746.86%1514327846.19%629127949.18%1893125819916371086535
_Since Last GM Reset82303607414252255-341171603212130121941132004202122134-12840.512252442694328792659271990990186363298789182814013074414.33%3556980.56%11409300746.86%1514327846.19%629127949.18%1893125819916371086535
_Vs Conference53192304214167169-2261090221288781027914020027991-12540.50916729546232879265917739099018636319115815349092022914.36%2244380.80%01409300746.86%1514327846.19%629127949.18%1893125819916371086535
_Vs Division23413031117587-121135011103738-11218020013849-11180.3917513020510879265978490990186363857255206415811113.58%932375.27%01409300746.86%1514327846.19%629127949.18%1893125819916371086535

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8284W225244269427192987891828140132
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8230367414252255
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4117163212130121
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4113204202122134
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3074414.33%3556980.56%1
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
909901863638792659
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
1409300746.86%1514327846.19%629127949.18%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1893125819916371086535


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
12Rochester1Laval4LSommaire du match
419San Diego3Rochester4WSommaire du match
939Cleveland3Rochester2LXSommaire du match
1352Laval2Rochester5WSommaire du match
1460Rochester0Charlotte3LSommaire du match
1879Hershey1Rochester4WSommaire du match
22101Charlotte3Rochester4WXXSommaire du match
25112Rochester2Wilkes-Barre/Scranton4LSommaire du match
27127Eagles3Rochester4WXSommaire du match
32151Cleveland3Rochester4WSommaire du match
35169Rochester3Lehigh Valley2WSommaire du match
36175San Diego2Rochester3WSommaire du match
38189Rochester3Charlotte7LSommaire du match
40200Grand Rapids5Rochester3LSommaire du match
43215Rochester4Grand Rapids5LSommaire du match
45222Rochester5Bakersfield4WXSommaire du match
46227Cleveland1Rochester0LSommaire du match
50250Iowa1Rochester3WSommaire du match
53262Rochester2Hershey1WSommaire du match
56276Ontario3Rochester5WSommaire du match
58288Rochester5San Jose1WSommaire du match
61301Rochester4Utica 3WSommaire du match
62306Syracuse3Rochester4WXSommaire du match
65326Wilkes-Barre/Scranton2Rochester1LSommaire du match
67335Rochester1Coachella Valley3LSommaire du match
69346Rochester2Rockford3LXSommaire du match
71352Bakersfield6Rochester3LSommaire du match
72363Rochester5Iowa4WSommaire du match
75377Hershey4Rochester6WSommaire du match
77393Rochester3Manitoba4LXSommaire du match
79403Rockford4Rochester2LSommaire du match
81418Rochester2Texas4LSommaire du match
82426Wilkes-Barre/Scranton4Rochester3LXXSommaire du match
84438Rochester4Manitoba3WXSommaire du match
86452Rochester3Hershey2WSommaire du match
88460Springfield2Rochester1LSommaire du match
91476Rochester2Lehigh Valley3LXXSommaire du match
93482Rochester9Syracuse3WSommaire du match
94489San Diego3Rochester2LSommaire du match
97506Coachella Valley1Rochester0LSommaire du match
102529Manitoba4Rochester1LSommaire du match
104544Rochester4Laval5LXXSommaire du match
106554Charlotte3Rochester1LSommaire du match
109577Syracuse4Rochester3LXSommaire du match
111585Rochester7Utica 4WSommaire du match
112596Abbotsford2Rochester4WSommaire du match
114608Rochester5Springfield4WSommaire du match
116616Rochester2Laval5LSommaire du match
118628Eagles3Rochester4WSommaire du match
122647Rochester2Charlotte3LSommaire du match
123654Texas3Rochester4WSommaire du match
127677Grand Rapids2Rochester6WSommaire du match
128685Rochester2Eagles3LSommaire du match
132701Providence4Rochester2LSommaire du match
133709Rochester2Syracuse4LSommaire du match
136726Providence4Rochester5WSommaire du match
137735Rochester4Providence3WXSommaire du match
139749San Jose3Rochester2LSommaire du match
142765Rochester2Abbotsford3LSommaire du match
143770Rochester2Grand Rapids3LSommaire du match
144780Laval5Rochester3LSommaire du match
149803Laval3Rochester1LSommaire du match
150806Rochester3Ontario1WSommaire du match
152818Rochester2Hartford0WSommaire du match
154829Utica 1Rochester4WSommaire du match
156843Rochester2Hartford4LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
158852Hartford5Rochester3LSommaire du match
162877Utica 1Rochester7WSommaire du match
165895Rochester1Wilkes-Barre/Scranton5LSommaire du match
167902Hartford5Rochester6WSommaire du match
170915Rochester4Bridgeport0WSommaire du match
171924Rochester2San Diego3LSommaire du match
173929Bridgeport3Rochester2LXXSommaire du match
175940Rochester3Bridgeport5LSommaire du match
178953Rochester1Cleveland3LSommaire du match
179957Rochester5Providence4WXSommaire du match
180963Bridgeport3Rochester4WXSommaire du match
182973Rochester2San Diego3LSommaire du match
184978Rochester1Cleveland3LSommaire du match
187989Lehigh Valley3Rochester2LSommaire du match
188999Rochester4Wilkes-Barre/Scranton3WSommaire du match
1941022Lehigh Valley1Rochester3WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance60,70429,469
Assistance PCT74.03%71.88%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2199 - 73.31% 129,049$5,291,013$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,942,087$ 2,017,000$ 2,017,000$ 1,800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,344$ 2,142,044$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 19,574$ 0$




Rochester Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Rochester Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Rochester Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Rochester Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Rochester Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA