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Connexion

Rochester
GP: 82 | W: 24 | L: 51 | OTL: 7 | P: 55
GF: 224 | GA: 348 | PP%: 16.62% | PK%: 74.79%
DG: JP Desmarais | Morale : 50 | Moyenne d’équipe : N/A

Centre de jeu
Charlotte
51-26-5, 107pts
6
FINAL
5 Rochester
24-51-7, 55pts
Team Stats
L1SéquenceL3
30-11-0Fiche domicile11-25-5
21-15-5Fiche domicile13-26-2
3-5-2Derniers 10 matchs3-6-1
3.66Buts par match 2.73
2.95Buts contre par match 4.24
21.57%Pourcentage en avantage numérique16.62%
82.59%Pourcentage en désavantage numérique74.79%
Rochester
24-51-7, 55pts
4
FINAL
6 San Jose
51-27-4, 106pts
Team Stats
L3SéquenceW1
11-25-5Fiche domicile28-10-3
13-26-2Fiche domicile23-17-1
3-6-1Derniers 10 matchs7-1-2
2.73Buts par match 3.61
4.24Buts contre par match 2.89
16.62%Pourcentage en avantage numérique22.82%
74.79%Pourcentage en désavantage numérique81.74%
Meneurs d'équipe
Buts
Brandon Sutter
27
Passes
Tobias Rieder
45
Points
Brandon Sutter
71
Gabriel VilardiPlus/Moins
Gabriel Vilardi
5
Victoires
Scott Darling
5
Pourcentage d’arrêts
Thomas Greiss
0.9

Statistiques d’équipe
Buts pour
224
2.73 GFG
Tirs pour
3000
36.59 Avg
Pourcentage en avantage numérique
16.6%
58 GF
Début de zone offensive
43.0%
Buts contre
348
4.24 GAA
Tirs contre
3116
38.00 Avg
Pourcentage en désavantage numérique
74.8%%
89 GA
Début de la zone défensive
39.2%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,850
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 50
Espoirs39


Historique d'équipe

Saison actuelle24-51-7 (55PTS)
Historique0-0-0
Coupe Stanley0


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 HayesXX100.007740917790849774826975678267615050003131,800,000$
2Cody Glass (R)XX100.00743296879085987888767569804545685000241900,000$
3Zack KassianX100.00785174689172846569676564747370165000323950,000$
4Miikka SalomakiXX100.00673385747372926472636561765651365000304775,000$
5Brandon SutterXX100.007029946875719473837376697773722650003421,720,000$
6David KrejciX100.006929934773789674566673717395771550003721,100,000$
7Justin AbdelkaderXXX100.007137795272658466576671698395821550003631,500,000$
8Martin FrkXX100.00683287777576916773646854825650405000294800,000$
9Sven BaertschiXX100.006730968380858974747172628160514750003041,250,000$
10Tobias RiederXX100.007131927772899275757175718061564250003021,100,000$
11Max WillmanXX100.00763080738578856869687164765854505000284975,000$
12AJ GreerX100.00836463749272956871676965765353505000242900,000$
13Dustin ByfuglienX100.00753958428875965250485088649184145000382875,000$
14Derek MeechX100.00582585397461884727434284738069145000392750,000$
15Calen Addison (R)X100.00752589867882995670624782754343745000232800,000$
16Julian MelchioriX100.00723764619680904950484983776162375000311825,000$
17Dan GirardiX100.0068297544867085495047508573959915000391750,000$
18Brendan GuhleX100.00692990858981724370404580775347475000251500,000$
Rayé
1Lucas LessioXX100.00693182668874896469646463695456295000304775,000$
2Gabriel Vilardi (R)XX100.00723296839485927783767564884645755000231900,000$
MOYENNE D’ÉQUIPE100.0071348368837790646762647177666137500
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
1Scott Darling100.0056938387779088848380767171515000341750,000$
2Chris Driedger100.00647981807784878485808061614850002911,000,000$
3Thomas Greiss100.00578182806985878787707494982450003731,300,000$
Rayé
MOYENNE D’ÉQUIPE100.005984828274868785857777757741500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Cory Clouston79878496909973CAN5431,800,000$


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
1Brandon SutterRochester (BUF)C/RW82274471-6180731832639321010.27%14161119.6541216632791011643154.81%233900000.8802000134
2Tobias RiederRochester (BUF)LW/RW82234568-22475681073641112556.32%19163719.96715227929102281402049.02%20400010.8302001311
3Kevin HayesRochester (BUF)C/LW76213758-129240125155286902067.34%11155920.52416207026401161764052.63%163600000.7413224312
4Sven BaertschiRochester (BUF)LW/RW77153247-2038103573282802125.32%3132917.2771118802640002711045.40%16300010.7111110121
5David KrejciRochester (BUF)C80182644-3931544142190521579.47%16147718.4651116452111011953044.61%193000000.6012001051
6Calen AddisonRochester (BUF)D8283139-294807394141541005.67%112187022.822810752840000232000%000000.4212000101
7Radko GudasBuffaloD57825332298201143968224411.76%97123421.6723514590000151200%000000.5300013010
8Justin AbdelkaderRochester (BUF)C/LW/RW82141933-416515106105186461297.53%18138516.9066124120510121141045.87%98100000.4800021111
9Dustin ByfuglienRochester (BUF)D70111930-12121251465411849749.32%134158922.715813582340000193200%000000.3801014111
10Gabriel VilardiRochester (BUF)C/RW19721285100212362285111.29%242322.3013416590000591058.54%12300001.3201000031
11Zack KassianRochester (BUF)RW8271623-30811574489522717.37%986410.54134196201111181049.39%16400000.5300011200
12Martin FrkRochester (BUF)LW/RW82111122-1660334811620799.48%37519.16000160000200047.50%8000010.5900000011
13Julian MelchioriRochester (BUF)D8241822-33755121419128784.40%109152918.65123341640001183000%000000.2900100002
14Dan GirardiRochester (BUF)D8291322-3064079489826749.18%121162719.85437371640112200010%000000.2700000200
15Max WillmanRochester (BUF)C/LW8271522-361405986149471044.70%588010.74112531000060049.71%68200000.5000000001
16Brendan GuhleRochester (BUF)D8171320-32701063487525519.33%123142017.5311213500110152100%000000.2800001012
17AJ GreerRochester (BUF)LW7671320-32611514049137371015.11%593412.301453513601131101050.00%8600000.4300111202
18Cody GlassRochester (BUF)C/RW179918-1680163868265213.24%540023.5322415590002490049.35%53700000.9000000210
19Miikka SalomakiRochester (BUF)LW/RW825712-1216028399224705.43%85997.311016250000130055.81%4300000.4000000000
20Lucas LessioRochester (BUF)LW/RW599312-11140633488165110.23%1373512.461016310000100050.00%4800000.3300000001
21Derek MeechRochester (BUF)D6801010-3318033382815280%65100814.83000213000081000%000000.2000000001
Statistiques d’équipe totales ou en moyenne1500227427654-43599516515141492299791121977.57%8922486916.58561091657142902371029224522250.07%901600030.534145917192123
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
1Stuart SkinnerBuffalo36151730.9262.6121163419212410130.6673352444
2Scott DarlingRochester (BUF)115300.8963.7652620333180101.0002839000
3Chris DriedgerRochester (BUF)21010.8823.84125008680001.000425000
4Thomas GreissRochester (BUF)61410.9003.7731820202000000064011
Statistiques d’équipe totales ou en moyenne55222450.9162.983086381153182702395150455


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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)LW241998-09-02CANNo208 Lbs6 ft3NoNoN/ANoNo22024-09-15FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Brandon SutterRochester (BUF)C/RW341989-02-14USANo192 Lbs6 ft3NoNoTrade2025-03-13NoNo22024-09-25FalseFalsePro & Farm1,720,000$0$0$No1,720,000$--------1,720,000$--------No--------Lien
Brendan GuhleRochester (BUF)D251997-07-29CANNo197 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Calen AddisonRochester (BUF)D232000-04-11CANYes173 Lbs5 ft11NoNoTrade2024-10-08NoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------
Chris Driedger (contrat à 1 volet)Rochester (BUF)G291994-05-18CANNo208 Lbs6 ft4NoNoN/AYesYes1FalseFalsePro & Farm1,000,000$10,000$0$No---------------------------Lien / Lien NHL
Cody GlassRochester (BUF)C/RW241999-04-01CANYes206 Lbs6 ft3NoNoTrade2025-01-27NoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien NHL
Dan GirardiRochester (BUF)D391984-04-28CANNo212 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
David KrejciRochester (BUF)C371986-04-28CZENo194 Lbs6 ft0NoNoFree AgentNoNo22024-10-07FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$1,000,000$-------No--------
Derek MeechRochester (BUF)D391984-04-21CANNo210 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------
Dustin ByfuglienRochester (BUF)D381985-03-27USANo263 Lbs6 ft5NoNoFree AgentNoNo22024-10-02FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien
Gabriel VilardiRochester (BUF)C/RW231999-08-16CANYes215 Lbs6 ft3NoNoTrade2025-03-17NoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien NHL
Julian MelchioriRochester (BUF)D311991-12-06CANNo220 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm825,000$0$0$No---------------------------Lien
Justin AbdelkaderRochester (BUF)C/LW/RW361987-02-25USANo212 Lbs6 ft1NoNoFree AgentNoNo32024-09-25FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Kevin HayesRochester (BUF)C/LW311992-05-08USANo220 Lbs6 ft5NoNoFree AgentNoNo32024-09-28FalseFalsePro & Farm1,800,000$0$0$No1,800,000$1,800,000$-------1,800,000$1,800,000$-------NoNo-------Lien / Lien NHL
Lucas LessioRochester (BUF)LW/RW301993-01-23CANNo217 Lbs6 ft1NoNoN/ANoNo42024-09-15FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Martin FrkRochester (BUF)LW/RW291993-10-05CZENo212 Lbs6 ft1NoNoN/ANoNo42024-09-15FalseFalsePro & Farm800,000$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------Lien
Max WillmanRochester (BUF)C/LW281995-02-13USANo198 Lbs6 ft1NoNoN/ANoNo42024-09-15FalseFalsePro & Farm975,000$0$0$No975,000$975,000$975,000$------975,000$975,000$975,000$------NoNoNo------Lien NHL
Miikka SalomakiRochester (BUF)LW/RW301993-03-09FINNo211 Lbs5 ft11NoNoN/ANoNo42024-09-15FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Scott DarlingRochester (BUF)G341988-12-22USANo241 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Sven BaertschiRochester (BUF)LW/RW301992-10-05SWINo200 Lbs5 ft11NoNoN/ANoNo42024-09-15FalseFalsePro & Farm1,250,000$0$0$No1,250,000$1,250,000$1,250,000$------1,250,000$1,250,000$1,250,000$------NoNoNo------Lien
Thomas GreissRochester (BUF)G371986-01-29GERNo221 Lbs6 ft0NoNoFree AgentNoNo32024-09-25FalseFalsePro & Farm1,300,000$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------
Tobias RiederRochester (BUF)LW/RW301993-01-10GERNo196 Lbs5 ft11NoNoN/ANoNo22024-09-15FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Zack KassianRochester (BUF)RW321991-01-24CANNo211 Lbs6 ft3NoNoFree AgentNoNo32024-09-25FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2331.00210 Lbs6 ft22.30999,783$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tobias RiederCody Glass35014
2Kevin HayesBrandon SutterSven Baertschi30023
3Max WillmanDavid KrejciJustin Abdelkader25122
4AJ GreerCody GlassZack Kassian10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dustin ByfuglienDan Girardi35122
2Julian MelchioriCalen Addison30122
3Brendan GuhleDerek Meech25122
4Dustin ByfuglienDan Girardi10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tobias RiederCody Glass50122
2Kevin HayesBrandon SutterSven Baertschi50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dustin ByfuglienDan Girardi50122
2Julian MelchioriCalen Addison50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cody Glass50122
2Brandon SutterTobias Rieder50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dustin ByfuglienDan Girardi50122
2Julian MelchioriCalen Addison50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cody Glass50122Dustin ByfuglienDan Girardi50122
250122Julian MelchioriCalen Addison50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cody Glass50122
2Brandon SutterTobias Rieder50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dustin ByfuglienDan Girardi50122
2Julian MelchioriCalen Addison50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tobias RiederCody GlassDustin ByfuglienDan Girardi
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tobias RiederCody GlassDustin ByfuglienDan Girardi
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Martin Frk, Miikka Salomaki, David KrejciMartin Frk, Miikka SalomakiDavid Krejci
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brendan Guhle, Derek Meech, Julian MelchioriBrendan GuhleDerek Meech, Julian Melchiori
Tirs de pénalité
Cody Glass, , Brandon Sutter, Tobias Rieder, Kevin Hayes
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
Cody Glass, , Brandon Sutter, Tobias Rieder, Kevin Hayes, Sven Baertschi, David Krejci, Max Willman, Justin Abdelkader, AJ Greer
Lignes de défense personnalisées en prolongation
Dustin Byfuglien, Dan Girardi, Julian Melchiori, Calen Addison, 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
1Abbotsford302000101114-32010001078-11010000046-220.333111829107975638131968979101849102292450800.00%11372.73%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
2Bakersfield30300000713-62020000059-41010000024-200.0007142110797563812296897910184911645205616425.00%10280.00%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
3Bridgeport412001001219-720200000614-82100010065130.37512233500797563817296897910184913837526822522.73%16475.00%11675331350.56%1452301848.11%662136648.46%1926130419726301068523
4Charlotte413000001318-520200000810-22110000058-320.25013233600797563813996897910184916943346113215.38%17664.71%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
5Cleveland412010001316-320200000611-52100100075240.50013213410797563814096897910184916628485420315.00%18383.33%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
6Coachella Valley31200000713-61010000045-12110000038-520.333712190079756389096897910184910417384314214.29%13284.62%11675331350.56%1452301848.11%662136648.46%1926130419726301068523
7Eagles31200000715-81100000031220200000414-1020.3337111800797563887968979101849122294857900.00%10370.00%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
8Grand Rapids413000001220-82110000077020200000513-820.25012193100797563816696897910184914634346420210.00%16475.00%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
9Hartford401002101215-32000020057-22010001078-140.50012223400797563818096897910184912937427022313.64%16287.50%21675331350.56%1452301848.11%662136648.46%1926130419726301068523
10Hershey40400000515-102020000036-32020000029-700.0005101500797563813496897910184914546458213323.08%19384.21%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
11Iowa31200000511-61100000041320200000110-920.3335101500797563811896897910184911130535413323.08%16287.50%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
12Laval40300001414-102010000118-72020000036-310.125481200797563814396897910184912829437716425.00%17382.35%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
13Lehigh Valley422000001415-121100000910-12110000055040.50014264000797563816896897910184914935427220315.00%12375.00%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
14Manitoba311010009902110000067-11000100032140.6679152400797563813496897910184911317235811218.18%10370.00%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
15Ontario302001001118-71010000057-220100100611-510.1671122330079756388396897910184913834384111327.27%19668.42%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
16Providence4200101015114210010008622100001075281.00015264100797563813696897910184915148577518316.67%19289.47%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
17Rockford30201000613-72010100057-21010000016-520.33361016007975638899689791018491064149441000.00%22672.73%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
18San Diego3210000012111110000004222110000089-140.66712213300797563810196897910184911028205212433.33%9188.89%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
19San Jose403001001120-92010010058-320200000612-610.1251120310079756381339689791018491503543632229.09%14657.14%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
20Springfield30300000618-1220200000413-91010000025-300.0006101600797563810096897910184914644614513323.08%16475.00%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
21Syracuse51400000818-1020200000413-93120000045-120.200815230179756381589689791018492066276921715.88%28775.00%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
22Texas3200010013112210001008801100000053250.83313263900797563812296897910184911820167014321.43%8537.50%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
23Wilkes-Barre/Scranton404000001121-102020000059-420200000612-600.00011213200797563815496897910184915353436415320.00%17947.06%01675331350.56%1452301848.11%662136648.46%1926130419726301068523
Total82175104631224348-1244182502411122177-554192602220102171-69550.3352244036273179756383000968979101849311682194914123495816.62%3538974.79%41675331350.56%1452301848.11%662136648.46%1926130419726301068523
_Since Last GM Reset82175104631224348-1244182502411122177-554192602220102171-69550.3352244036273179756383000968979101849311682194914123495816.62%3538974.79%41675331350.56%1452301848.11%662136648.46%1926130419726301068523
_Vs Conference4592802321119182-63223150120162101-3923613011205781-24300.333119214333117975638169096897910184916804525167791963216.33%1954676.41%31675331350.56%1452301848.11%662136648.46%1926130419726301068523
_Vs Division21513010115281-291026010012844-161137000102437-13150.3575291143017975638742968979101849800216244369841214.29%972277.32%01675331350.56%1452301848.11%662136648.46%1926130419726301068523

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8255L322440362730003116821949141231
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8217514631224348
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
418252411122177
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
419262220102171
Derniers 10 matchs
WLOTWOTL SOWSOL
360100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3495816.62%3538974.79%4
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
9689791018497975638
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
1675331350.56%1452301848.11%662136648.46%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1926130419726301068523


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
29Rockford2Rochester3WXSommaire du match
627Grand Rapids4Rochester5WSommaire du match
946San Jose3Rochester1LSommaire du match
1255Rochester3Syracuse0WSommaire du match
1471Rochester2Laval4LSommaire du match
1678Springfield4Rochester1LSommaire du match
1892Rochester3Wilkes-Barre/Scranton5LSommaire du match
20100Charlotte4Rochester3LSommaire du match
22110Rochester3Providence2WSommaire du match
24125Providence2Rochester3WXSommaire du match
26135Rochester3Charlotte2WSommaire du match
28145Rochester3Lehigh Valley1WSommaire du match
29152Laval2Rochester1LXXSommaire du match
32167Rochester3Eagles4LSommaire du match
34175Rochester1Syracuse3LSommaire du match
35182Manitoba1Rochester3WSommaire du match
37196Rochester2Bridgeport3LXSommaire du match
39208Bakersfield4Rochester2LSommaire du match
42223Eagles1Rochester3WSommaire du match
44235Rochester3Coachella Valley1WSommaire du match
46246Rochester3Manitoba2WXSommaire du match
48253Rochester5Texas3WSommaire du match
50260Iowa1Rochester4WSommaire du match
52274Rochester4Providence3WXXSommaire du match
53282Laval6Rochester0LSommaire du match
56301Hershey2Rochester1LSommaire du match
58312Rochester1Laval2LSommaire du match
60323Rochester4Bridgeport2WSommaire du match
61332Hartford3Rochester2LXSommaire du match
64347Grand Rapids3Rochester2LSommaire du match
66359Rochester4Abbotsford6LSommaire du match
68368Rochester1Hershey2LSommaire du match
71381Cleveland3Rochester1LSommaire du match
73393Rochester2Bakersfield4LSommaire du match
75400San Diego2Rochester4WSommaire du match
77410Rochester2Lehigh Valley4LSommaire du match
80424Rochester2Springfield5LSommaire du match
81429Lehigh Valley3Rochester5WSommaire du match
85450Providence4Rochester5WSommaire du match
87462Rochester0Syracuse2LSommaire du match
89473Hartford4Rochester3LXSommaire du match
92490Rochester5Ontario6LXSommaire du match
93497Lehigh Valley7Rochester4LSommaire du match
96511Rochester0Iowa3LSommaire du match
98520Bridgeport8Rochester1LSommaire du match
100533Rochester1Iowa7LSommaire du match
103546Springfield9Rochester3LSommaire du match
107562Rochester1Hershey7LSommaire du match
108571Bridgeport6Rochester5LSommaire du match
111585Rochester0Coachella Valley7LSommaire du match
113593Rochester1Ontario5LSommaire du match
114596Syracuse7Rochester1LSommaire du match
118612Rochester2Grand Rapids7LSommaire du match
120621Ontario7Rochester5LSommaire du match
125642Syracuse6Rochester3LSommaire du match
129661Wilkes-Barre/Scranton4Rochester2LSommaire du match
132681Rochester3Hartford5LSommaire du match
133688Cleveland8Rochester5LSommaire du match
135703Rochester4Hartford3WXXSommaire du match
137711San Jose5Rochester4LXSommaire du match
140728Rochester3Wilkes-Barre/Scranton7LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
141736Manitoba6Rochester3LSommaire du match
145754Rockford5Rochester2LSommaire du match
146762Rochester1Rockford6LSommaire du match
149777Rochester3Grand Rapids6LSommaire du match
150783Hershey4Rochester2LSommaire du match
154802Rochester6San Diego5WSommaire du match
155807Bakersfield5Rochester3LSommaire du match
157824Rochester1Eagles10LSommaire du match
159833Wilkes-Barre/Scranton5Rochester3LSommaire du match
162848Rochester2Charlotte6LSommaire du match
163854Abbotsford4Rochester5WXXSommaire du match
167873Coachella Valley5Rochester4LSommaire du match
171892Texas4Rochester5WSommaire du match
173901Rochester2San Diego4LSommaire du match
174910Rochester4Cleveland3WXSommaire du match
177921Abbotsford4Rochester2LSommaire du match
180936Rochester3Cleveland2WSommaire du match
182944Texas4Rochester3LXSommaire du match
183948Rochester2San Jose6LSommaire du match
187965Charlotte6Rochester5LSommaire du match
192983Rochester4San Jose6LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance77,56239,283
Assistance PCT94.59%95.81%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2850 - 95.00% 147,261$6,037,689$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,903,534$ 2,199,500$ 2,199,500$ 1,800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,338$ 2,103,592$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 20,616$ 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