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Rochester
GP: 82 | W: 41 | L: 29 | OTL: 12 | P: 94
GF: 272 | GA: 282 | PP%: 19.06% | PK%: 80.98%
DG: Yanick Morneau | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Hartford
31-45-6, 68pts
2
FINAL
4 Rochester
41-29-12, 94pts
Team Stats
W1StreakSOL1
14-26-1Home Record19-15-7
17-19-5Away Record22-14-5
2-7-1Last 10 Games6-1-3
3.04Buts par match 3.32
3.87Buts contre par match 3.44
17.33%Pourcentage en avantage numérique19.06%
79.70%Pourcentage en désavantage numérique80.98%
Hartford
31-45-6, 68pts
4
FINAL
3 Rochester
41-29-12, 94pts
Team Stats
W1StreakSOL1
14-26-1Home Record19-15-7
17-19-5Away Record22-14-5
2-7-1Last 10 Games6-1-3
3.04Buts par match 3.32
3.87Buts contre par match 3.44
17.33%Pourcentage en avantage numérique19.06%
79.70%Pourcentage en désavantage numérique80.98%
Meneurs d'équipe
Buts
Max Willman
30
Passes
Martin Frk
39
Points
Max Willman
66
Plus/Moins
Julian Melchiori
26
Victoires
Brian Elliott
33
Pourcentage d’arrêts
Brian Elliott
0.909

Statistiques d’équipe
Buts pour
272
3.32 GFG
Tirs pour
2657
32.40 Avg
Pourcentage en avantage numérique
19.1%
61 GF
Début de zone offensive
39.9%
Buts contre
282
3.44 GAA
Tirs contre
2784
33.95 Avg
Pourcentage en désavantage numérique
81.0%%
62 GA
Début de la zone défensive
41.5%
Informations de l'équipe

Directeur généralYanick Morneau
EntraîneurBrad Shaw
DivisionNord
ConférenceConference est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,830
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 50
Espoirs40


Historique d'équipe

Saison actuelle41-29-12 (94PTS)
Historique82-58-22 (0.506%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)-
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 moyen
1Josh Norris (R)X99.0082359287898993778672816687383883500X0222900,000$
2Miikka SalomakiXX100.00683386787474916772666664765145475000282750,000$
3Andrew ShawXX100.00684085777587936579647165775551415000292900,000$
4Martin FrkXX100.00733285807676917073676957825144525000272800,000$
5Lucas LessioXX100.00693480698777886669656667694952385000282700,000$
6Dominik KahunXX99.006729988379868977747276658448457250002531,750,000$
7Nick Merkley (R)X100.00793287817878867773717265784241675000241800,000$
8Teemu PulkkinenXX100.00612996767274847071636558815550485000291600,000$
9Dakota Joshua (R)XX100.00926085748470836791676965754949665000251500,000$
10Max Willman (R)XX100.00853088768376836770667167755252635000261500,000$
11Slater KoekkoekX100.00683287848277784253414280754947575000273800,000$
12Slava VoynovX100.00674680787489905025494883556059515000313750,000$
13Jake MuzzinX100.00743575708888985450505085757067425000321852,000$
14Braydon CoburnX100.00825045588376895734545584757976195000361756,000$
15Julian MelchioriX100.00713871639584894750484685775658485000291600,000$
16Dan GirardiX100.0072308154887684505050498674879915000373750,000$
17Mark GiordanoX100.00693388567280825650504786549299165000371500,000$
18Martin MarincinX100.00753176719380854450444392716360425000291900,000$
19Brendan GuhleX100.00732599858579723870383883754545595000233500,000$
Rayé
1Petr VranaXXX100.00643085516959836653666559758375175000371650,000$
2Devante Smith-PellyXXX100.00662690728381906364646459825849415000291550,000$
MOYENNE D’ÉQUIPE99.9073358473817987606258607275595746500
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 moyen
1Scott Darling100.0059938197799794908990866464585000323750,000$
2Brian Elliott99.00668189918194979695848499952450003711,200,000$
Rayé
MOYENNE D’ÉQUIPE99.506387859480969693928785828041500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brad Shaw68747071878773CAN562500,000$


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
1Max WillmanRochester (BUF)C/LW80303666147601521332265316213.27%6157619.70311145025310141245647.29%193700000.8403000545
2Martin FrkRochester (BUF)LW/RW8219395843006985213541778.92%1130415.913121538182000071048.00%10000000.8902000153
3Dominik KahunRochester (BUF)LW/RW51223153120032802004314011.00%5124624.4357123718300051826245.28%31800210.8502000531
4Nick MerkleyRochester (BUF)RW572132531216076842055513810.24%10116920.5249135019200051300148.99%19800000.9113000360
5Andrew ShawRochester (BUF)C/RW7822224403010601031875714111.76%3115814.85246241130000333448.57%97600000.7601011221
6Tobias RiederBuffaloLW/RW3920244468038801733812611.56%1793523.9867133213400031515151.12%22300010.9400000242
7Dakota JoshuaRochester (BUF)C/LW64123244-863514197155531297.74%10119918.7411314381830112782154.96%112800000.7322010214
8Lucas LessioRochester (BUF)LW/RW82162642-63207180181611478.84%8123215.036511301310001263048.25%11400000.6802000210
9Julian MelchioriRochester (BUF)D8293039267551126063335914.29%110145417.7436924168000113611100.00%100000.5400001223
10Mark GiordanoRochester (BUF)D691326397240495394344113.83%101136919.8571017451840002184110.00%000000.5700000322
11Braydon CoburnRochester (BUF)D7982937-10163152145810142757.92%137182623.123710422680001207200.00%000000.4100003101
12Jake MuzzinRochester (BUF)D79927360460827412635747.14%126175622.236511752630002248100.00%000000.4100000012
13Josh NorrisRochester (BUF)C29142034151606866135299010.37%771024.50246271090003963051.60%106200000.9603000315
14Miikka SalomakiRochester (BUF)LW/RW80111930-8300496113727858.03%681310.17000130003383050.00%7400000.7400000011
15Zach BogosianBuffaloD3362228930047426720528.96%5270521.37235361030000118100.00%000000.7900000311
16Slava VoynovRochester (BUF)D8232225-641560495511355.45%74107013.05000740000050000.00%000000.4700001002
17Sven BaertschiBuffaloLW/RW15121123600133159183820.34%232922.0033612530000424055.56%2700011.3900000220
18Teemu PulkkinenRochester (BUF)LW/RW82101020-14140153911230818.93%77839.55011180002310035.06%7700000.5101000112
19Dan GirardiRochester (BUF)D256713280151134112017.65%4057523.032132087000091000.00%000100.4500000101
20Brendan GuhleRochester (BUF)D822911-1624047302313288.70%7491511.170000200007000100.00%100000.2400000001
21Petr VranaRochester (BUF)C/LW/RW683710-312045505113365.88%36629.75000110001211042.86%70700000.3000000000
22Martin MarincinRochester (BUF)D23358-1140252426102711.54%3746420.183031666000261010.00%000000.3400000000
23Slater KoekkoekRochester (BUF)D82257-61151918247128.33%373844.69000120000300039.29%2800000.3600010000
24Devante Smith-PellyRochester (BUF)C/LW/RW63235-918024213418305.88%23275.21000000000100148.21%22400000.3011000100
25Filip HronekBuffaloD4033-200388020.00%89824.7302231000009000.00%000000.6100000000
26Filip ChytilBuffaloC/LW/RW4112-36061011589.09%09624.11011110000070057.46%13400000.4101000000
27Lucas RaymondBuffaloRW4202-2208522489.09%09724.362024100003100040.00%1000000.4101000010
Statistiques d’équipe totales ou en moyenne15182784987761978945154014522722774196110.21%8832426315.98631111746152770112402204421949.05%733900330.64422036393837
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
1Brian ElliottRochester (BUF)58331770.9093.0333674417018580210.538135710532
2Scott DarlingRochester (BUF)2581150.8973.50142300838030100.600102455113
Statistiques d’équipe totales ou en moyenne834128120.9053.174791442532661031238165645


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 Waiver Possible Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Andrew ShawRochester (BUF)C/RW291991-07-20No195 Lbs5 ft10NoNoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Braydon CoburnRochester (BUF)D361985-02-27No230 Lbs6 ft5NoNoNoNo1Pro & Farm756,000$0$0$No
Brendan GuhleRochester (BUF)D231997-07-29 08:04:16No197 Lbs6 ft2NoNoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Brian Elliott (contrat à 1 volet)Rochester (BUF)G371984-01-10 17:37:02No198 Lbs6 ft3NoNoYesYes1Pro & Farm1,200,000$12,000$0$No
Dakota JoshuaRochester (BUF)C/LW251996-05-15 08:36:56Yes199 Lbs6 ft2NoNoNoNo1Pro & Farm500,000$0$0$NoLien
Dan GirardiRochester (BUF)D371984-04-28No212 Lbs6 ft1NoNoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
Devante Smith-PellyRochester (BUF)C/LW/RW291992-06-14No228 Lbs6 ft0NoNoNoNo1Pro & Farm550,000$0$0$NoLien
Dominik KahunRochester (BUF)LW/RW251995-07-02No176 Lbs5 ft11NoNoNoNo3Pro & Farm1,750,000$0$0$No1,750,000$1,750,000$Lien
Jake Muzzin (contrat à 1 volet)Rochester (BUF)D321989-02-21No219 Lbs6 ft3NoNoYesYes1Pro & Farm852,000$8,520$0$NoLien
Josh NorrisRochester (BUF)C221999-05-05Yes194 Lbs6 ft2NoYesNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Julian MelchioriRochester (BUF)D291991-12-06No220 Lbs6 ft5NoNoNoNo1Pro & Farm600,000$0$0$NoLien
Lucas LessioRochester (BUF)LW/RW281993-01-23No217 Lbs6 ft1NoNoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Mark GiordanoRochester (BUF)D371983-10-03No202 Lbs6 ft0NoNoNoNo1Pro & Farm500,000$0$0$NoLien
Martin FrkRochester (BUF)LW/RW271993-10-05No212 Lbs6 ft1NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Martin MarincinRochester (BUF)D291992-02-18No218 Lbs6 ft5NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Max WillmanRochester (BUF)C/LW261995-02-13 08:44:40Yes198 Lbs6 ft1NoNoNoNo1Pro & Farm500,000$0$0$No
Miikka SalomakiRochester (BUF)LW/RW281993-03-09No211 Lbs5 ft11NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Nick MerkleyRochester (BUF)RW241997-05-23Yes198 Lbs5 ft10NoNoNoNo1Pro & Farm800,000$0$0$NoLien
Petr VranaRochester (BUF)C/LW/RW371984-01-10No186 Lbs5 ft10NoNoNoNo1Pro & Farm650,000$0$0$No
Scott DarlingRochester (BUF)G321988-12-22 06:40:45No241 Lbs6 ft6NoNoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
Slater KoekkoekRochester (BUF)D271994-02-18No197 Lbs6 ft2NoNoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien
Slava VoynovRochester (BUF)D311990-01-15No198 Lbs6 ft0NoNoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
Teemu PulkkinenRochester (BUF)LW/RW291992-01-02No194 Lbs5 ft11NoNoNoNo1Pro & Farm600,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2329.52206 Lbs6 ft11.74772,087$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dominik KahunJosh NorrisNick Merkley40122
2Dakota JoshuaMax WillmanMartin Frk30122
3Lucas LessioAndrew ShawMiikka Salomaki20122
4Teemu PulkkinenJosh NorrisDominik Kahun10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dan GirardiJake Muzzin40122
2Braydon CoburnMartin Marincin30122
3Mark GiordanoJulian Melchiori20122
4Slava VoynovBrendan Guhle10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dominik KahunJosh NorrisNick Merkley60122
2Dakota JoshuaMax WillmanMartin Frk40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dan GirardiJake Muzzin60122
2Braydon CoburnMartin Marincin40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Josh NorrisDominik Kahun60122
2Nick MerkleyMax Willman40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dan GirardiJake Muzzin60122
2Braydon CoburnMartin Marincin40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Josh Norris60122Dan GirardiJake Muzzin60122
2Dominik Kahun40122Braydon CoburnMartin Marincin40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Josh NorrisDominik Kahun60122
2Nick MerkleyMax Willman40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dan GirardiJake Muzzin60122
2Braydon CoburnMartin Marincin40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dominik KahunJosh NorrisNick MerkleyDan GirardiJake Muzzin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dominik KahunJosh NorrisNick MerkleyDan GirardiJake Muzzin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Andrew Shaw, Lucas Lessio, Miikka SalomakiAndrew Shaw, Lucas LessioMiikka Salomaki
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Slater Koekkoek, Mark Giordano, Julian MelchioriSlater KoekkoekMark Giordano, Julian Melchiori
Tirs de pénalité
Josh Norris, Dominik Kahun, Nick Merkley, Max Willman, Dakota Joshua
Gardien
#1 : Brian Elliott, #2 : Scott Darling


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
1Abbotsford32000001161062100000113851100000032150.8331629450097878210147894867862569228204410220.00%10190.00%11475300249.13%1485312547.52%673139548.24%1927131119566311080533
2Bakersfield2110000056-11010000014-31100000042220.50058130097878210588948678625677241634500.00%8275.00%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
3Charlotte41300000812-42020000047-32110000045-120.250814220097878210125894867862561413030662129.52%14285.71%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
4Cleveland622020002319431002000158731200000811-380.667234164019787821018389486786256195635512924833.33%24579.17%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
5Grand Rapids633000002120132100000141133120000079-260.50021385901978782101838948678625620762629532825.00%29679.31%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
6Hartford421000011719-221000001761211000001013-350.62517304700978782101548948678625614844346413323.08%15473.33%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
7Hershey402002001119-820100100511-62010010068-220.25011182900978782101218948678625615147408613323.08%17382.35%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
8Iowa20100100510-51010000026-41000010034-110.250510150097878210678948678625676323337300.00%13376.92%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
9Laval6510000021210321000001016-6330000001156100.833213556019787821017689486786256206544810335925.71%20385.00%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
10Lehigh Valley43100000151142110000068-22200000093660.75015264101978782101258948678625614031409418316.67%15473.33%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
11Manitoba2110000034-1110000003211010000002-220.5003690097878210678948678625654191342900.00%30100.00%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
12Milwaukee31100100810-2110000003212010010058-330.50081422009787821084894867862561043230521100.00%14285.71%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
13Ontario20100100710-31010000046-21000010034-110.2507121900978782105789486786256742516458225.00%8187.50%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
14Providence623000012124-330200001712-5321000001412250.417214061009787821021389486786256188705712724520.83%22386.36%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
15Rockford200011007701000010034-11000100043130.7507121900978782105189486786256661214426233.33%70100.00%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
16San Diego422000001118-72110000056-121100000612-640.5001122331097878210118894867862561253634731317.69%17664.71%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
17San Jose21100000550110000004311010000012-120.500571200978782105689486786256723032297228.57%15286.67%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
18Springfield2110000034-11010000013-21100000021120.50036900978782107689486786256822725338112.50%10280.00%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
19Texas2000010146-21000000123-11000010023-120.50048120097878210678948678625686223343300.00%80100.00%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
20Toronto632010002018232001000158731200000510-580.66720315100978782101888948678625620565589722313.64%28678.57%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
21Tucson2100000112751000000134-11100000093630.75012193100978782107489486786256571710236466.67%50100.00%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
22Utica430010001367220000007342100100063381.0001322350097878210134894867862561002939651500.00%13284.62%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
23Wilkes-Barre/Scranton412010001616020200000810-22100100086240.50016284400978782101338948678625613833247014321.43%11554.55%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
Total82352906705272282-1041161503205142151-941191403500130131-1940.5732724767481497878210265789486786256278483276314933206119.06%3266280.98%11475300249.13%1485312547.52%673139548.24%1927131119566311080533
_Since Last GM Reset82352906705272282-1041161503205142151-941191403500130131-1940.5732724767481497878210265789486786256278483276314933206119.06%3266280.98%11475300249.13%1485312547.52%673139548.24%1927131119566311080533
_Vs Conference5425200520218618512711100310298100-22714100210088853640.593186323509049787821017358948678625618195284879962314720.35%2084379.33%01475300249.13%1485312547.52%673139548.24%1927131119566311080533
_Vs Division281511030019195-41474030015054-414870000041410370.661911582490297878210885894867862569472812554881342720.15%1132082.30%01475300249.13%1485312547.52%673139548.24%1927131119566311080533

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8294SOL127247674826572784832763149314
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8235296705272282
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4116153205142151
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4119143500130131
Derniers 10 matchs
WLOTWOTL SOWSOL
610201
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3206119.06%3266280.98%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
8948678625697878210
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
1475300249.13%1485312547.52%673139548.24%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1927131119566311080533


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
2 - 2022-11-2510Laval3Rochester4BWSommaire du match
4 - 2022-11-2619Rochester2Laval1AWSommaire du match
6 - 2022-11-2727Providence6Rochester5BLXXSommaire du match
10 - 2022-11-2949Grand Rapids0Rochester4BWSommaire du match
13 - 2022-12-0166Rochester0Toronto4ALSommaire du match
15 - 2022-12-0275Cleveland0Rochester5BWSommaire du match
17 - 2022-12-0386Rochester3Cleveland2AWSommaire du match
19 - 2022-12-0499Rochester6Providence3AWSommaire du match
21 - 2022-12-05107Toronto2Rochester3BWXSommaire du match
23 - 2022-12-06123Wilkes-Barre/Scranton5Rochester4BLSommaire du match
25 - 2022-12-07132Rochester2Cleveland4ALSommaire du match
26 - 2022-12-07141Rochester1Grand Rapids5ALSommaire du match
29 - 2022-12-09154Lehigh Valley5Rochester1BLSommaire du match
31 - 2022-12-10166Rochester4Hartford8ALSommaire du match
33 - 2022-12-11173Rochester4Providence6ALSommaire du match
35 - 2022-12-12182Grand Rapids3Rochester5BWSommaire du match
37 - 2022-12-13194Rochester5Lehigh Valley3AWSommaire du match
39 - 2022-12-14205Abbotsford4Rochester10BWSommaire du match
41 - 2022-12-15218Rochester6Hartford5AWSommaire du match
43 - 2022-12-16228Rochester9Tucson3AWSommaire du match
45 - 2022-12-17236Milwaukee2Rochester3BWSommaire du match
47 - 2022-12-18252Ontario6Rochester4BLSommaire du match
49 - 2022-12-19262Rochester3Cleveland5ALSommaire du match
53 - 2022-12-21279Cleveland3Rochester4BWXSommaire du match
55 - 2022-12-22295Toronto2Rochester6BWSommaire du match
57 - 2022-12-23307Rochester3Charlotte2AWSommaire du match
58 - 2022-12-23318Toronto4Rochester6BWSommaire du match
61 - 2022-12-25332Rochester4Bakersfield2AWSommaire du match
63 - 2022-12-26337Rochester4Providence3AWSommaire du match
64 - 2022-12-26349Cleveland5Rochester6BWXSommaire du match
67 - 2022-12-28362Rochester1San Jose2ALSommaire du match
69 - 2022-12-29374Charlotte5Rochester3BLSommaire du match
73 - 2022-12-31391Abbotsford4Rochester3BLXXSommaire du match
77 - 2023-01-02411Rochester4Lehigh Valley0AWSommaire du match
79 - 2023-01-03419San Diego2Rochester0BLSommaire du match
81 - 2023-01-04429Rochester4Grand Rapids1AWSommaire du match
83 - 2023-01-05442Iowa6Rochester2BLSommaire du match
86 - 2023-01-06456Rochester2Springfield1AWSommaire du match
88 - 2023-01-07467Manitoba2Rochester3BWSommaire du match
90 - 2023-01-08475Rochester2Grand Rapids3ALSommaire du match
92 - 2023-01-09488Rochester4Laval0AWSommaire du match
94 - 2023-01-10494Bakersfield4Rochester1BLSommaire du match
97 - 2023-01-12513Springfield3Rochester1BLSommaire du match
99 - 2023-01-13523Rochester2Milwaukee3ALXSommaire du match
100 - 2023-01-13533Rochester4Rockford3AWXSommaire du match
102 - 2023-01-14541San Diego4Rochester5BWSommaire du match
105 - 2023-01-16558Rochester3Iowa4ALXSommaire du match
107 - 2023-01-17566San Jose3Rochester4BWSommaire du match
110 - 2023-01-18580Rochester5Laval4AWSommaire du match
111 - 2023-01-19587Charlotte2Rochester1BLSommaire du match
114 - 2023-01-20600Rochester1Charlotte3ALSommaire du match
117 - 2023-01-22609Rochester5Wilkes-Barre/Scranton4AWSommaire du match
119 - 2023-01-23619Rockford4Rochester3BLXSommaire du match
121 - 2023-01-24626Rochester3Hershey4ALSommaire du match
124 - 2023-01-25640Tucson4Rochester3BLXXSommaire du match
126 - 2023-01-26656Rochester3Toronto5ALSommaire du match
127 - 2023-01-27665Wilkes-Barre/Scranton5Rochester4BLSommaire du match
131 - 2023-01-29682Rochester2Texas3ALXSommaire du match
133 - 2023-01-30689Laval2Rochester3BWSommaire du match
135 - 2023-01-31701Rochester2San Diego1AWSommaire du match
137 - 2023-02-01708Rochester3Abbotsford2AWSommaire du match
138 - 2023-02-01716Laval11Rochester3BLSommaire du match
141 - 2023-02-03729Rochester4San Diego11ALSommaire du match
142 - 2023-02-03739Texas3Rochester2BLXXSommaire du match
145 - 2023-02-05751Rochester4Utica2AWSommaire du match
147 - 2023-02-06763Providence4Rochester1BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2023-02-07778Rochester3Ontario4ALXSommaire du match
152 - 2023-02-08788Rochester3Milwaukee5ALSommaire du match
153 - 2023-02-09792Grand Rapids8Rochester5BLSommaire du match
155 - 2023-02-10803Rochester3Wilkes-Barre/Scranton2AWXSommaire du match
157 - 2023-02-11815Providence2Rochester1BLSommaire du match
161 - 2023-02-13835Hershey5Rochester0BLSommaire du match
165 - 2023-02-15853Rochester2Toronto1AWSommaire du match
166 - 2023-02-15862Lehigh Valley3Rochester5BWSommaire du match
171 - 2023-02-18880Hershey6Rochester5BLXSommaire du match
173 - 2023-02-19892Rochester3Hershey4ALXSommaire du match
176 - 2023-02-20907Utica1Rochester3BWSommaire du match
182 - 2023-02-23925Rochester2Utica1AWXSommaire du match
183 - 2023-02-24931Rochester0Manitoba2ALSommaire du match
185 - 2023-02-25939Utica2Rochester4BWSommaire du match
189 - 2023-02-27955Hartford2Rochester4BWSommaire du match
196 - 2023-03-02981Hartford4Rochester3BLXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance77,36938,668
Assistance PCT94.35%94.31%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2830 - 94.34% 147,231$6,036,457$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,849,950$ 1,570,600$ 1,570,600$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,932$ 1,349,894$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 10,458$ 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
1Max Willman16060721322815230426645213.27%12315219.70622281002028101247.2900.8406
2Martin Frk16438781168601381704268.92%2260915.91624307600002048.0000.8904
3Dominik Kahun10244621062406416040011.00%10249224.43101424740001012445.2820.8504
4Nick Merkley1144264106243215216841010.24%20233820.5281826100000100248.9900.9126
5Tobias Rieder7840488812167616034611.56%34187023.9812142664000610251.1220.9400

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
1Brian Elliott1166634140.9093.0367358834037160420.53826
2Scott Darling501622100.8973.5028460016616060200.60020

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
Saison régulière
2082352906705272282-1041161503205142151-941191403500130131-1942724767481497878210265789486786256278483276314933206119.06%3266280.98%11475300249.13%1485312547.52%673139548.24%1927131119566311080533
2082352906705272282-1041161503205142151-941191403500130131-1942724767481497878210265789486786256278483276314933206119.06%3266280.98%11475300249.13%1485312547.52%673139548.24%1927131119566311080533
Total Saison régulière164705801214010544564-20823230064010284302-18823828061000260262-2188544952149628194174164205314178817341724112556816641526298664012219.06%65212480.98%22950600449.13%2970625047.52%1346279048.24%385426233912126321611067
Séries éliminatoires
Total Séries éliminatoires00000000000000.00%0.00%0.00%0.00%0.00%000000

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