Rochester Lakers

GP: 6 | W: 3 | L: 2 | T: 1 | P: 7
GF: 14 | GA: 8 | PP%: 18.75% | PK%: 78.57%
DG: Buredemann Ltd. | Morale : 52 | Moyenne d'Équipe : 73
Prochain matchs vs Pittsburgh Yellow Jackets
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Austin TravillianX97.50261996273998399629999868999861551810
2Matt AtcherX97.5041996182866492879298989999682151780
3Geoffrey PalaiaX99.005542697565878277858495707083476052740
4Kevin KaufmannX98.0049199587557707772908855849999851710
5Kevin KoetterX100.007366177656787077198492577084476947700
6Marshall ReasonerX100.004113836370536884818687397399994450690
7Ryan DenneX100.008364177077767458803782917099883750680
8Charles SchneiderX98.501199707411196969178745793944451680
9Nicholas BlanchardX97.00111576697011196787996648599964851680
10Todd BarkleyX100.00181996174657161777173839199991050670
11Walter SpannX100.00362976177365778817782578199993650670
12Dylan OhlerX99.507336706675788076327474507099494158670
13Shawn VacheresseX97.509954377480997789448581995699712051820
14Marc RespressX97.00136998667674999249999935088944851770
15Shane LorelliX100.008576538074754795256796757099695854740
16Lloyd PooserX100.009962276483596081424381907599993548730
17Benjamin HoytX100.00583976672193791727987867999993751700
18Troy DorseyX100.00581382637221348480798276779999951670
Rayé
1Todd NewberryX90.4138199657295769994999978889999138810
MOYENNE D'ÉQUIPE98.52482475687361598565808875759684345072
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Jarrod Daniel100.00735173787199999999748399991753840
2Joseph Braithwaite100.0066178837299997893687865976650760
Rayé
MOYENNE D'ÉQUIPE100.0070267681729999899671818298425280
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Shane LorelliRochester LakersD6167475111195511.11%712020.1600011700009000.00%054001.1600100020
2Austin TravillianRochester LakersRW633620011323131013.04%414824.701125300001150155.32%4751000.8100000001
3Todd NewberryRochester LakersC514510051321594.76%310821.720113190003110064.23%13732000.9200000001
4Geoffrey PalaiaRochester LakersC6145-1008616366.25%411118.64123223000161068.82%9310000.8900000001
5Marc RespressRochester LakersD6224-10005241248.33%717228.78224733000314000.00%0612000.4600000100
6Shawn VacheresseRochester LakersD613402035814367.14%917328.84123733000013000.00%033000.4600000000
7Matt AtcherRochester LakersLW63142000102451312.50%113722.99000430000150033.33%912000.5800000000
8Charles SchneiderRochester LakersC62130001793422.22%1518.6601103000000059.09%2222001.1600000001
9Nicholas BlanchardRochester LakersRW6213-10019216109.52%19215.371011190000000100.00%421000.6500000001
10Kevin KoetterRochester LakersLW60223115436570.00%07412.4300004000010031.25%1620000.5400010000
11Walter SpannRochester LakersRW62023001582725.00%0599.97000000000020100.00%100000.6700000000
12Lloyd PooserRochester LakersD6022415514105100.00%611619.4700001600006000.00%004000.3400010000
13Kevin KaufmannRochester LakersLW6011-100567050.00%29916.58011120000050025.00%410000.2000000000
14Marshall ReasonerRochester LakersLW6011-1206210360.00%0538.9100002000000025.00%400000.3700000000
15Benjamin HoytRochester LakersD6000-100665330.00%47212.030000100001000.00%011000.0000000000
16Todd BarkleyRochester LakersRW6000-100264110.00%1508.47000000000000100.00%102000.0000000000
17Troy DorseyRochester LakersD6000020421400.00%47312.250000000004000.00%000000.0000000000
18Ryan DenneRochester LakersC6000340745040.00%46811.4100000000040059.46%3702000.0000000000
19Dylan OhlerRochester LakersC1000000102020.00%088.5200000000000033.33%300000.0000000000
Stats d'équipe Total ou en Moyenne108183149154315112126214741028.41%58179416.6261016312580009983160.85%3783236000.5500120125
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
1Jarrod DanielRochester Lakers63210.9341.98363011218282000.000060110
Stats d'équipe Total ou en Moyenne63210.9341.98363011218282000.000060110


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 CONT StatusType Salaire Actuel Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Austin TravillianRochester LakersRW2810/31/1988No201 Lbs5 ft10NoNoNo4Sans RestrictionPro & Farm3,333,333$3,333,333$3,333,333$3,333,333$
Benjamin HoytRochester LakersD339/23/1983No187 Lbs5 ft10NoNoNo1Sans RestrictionPro & Farm575,000$
Charles SchneiderRochester LakersC301/4/1987No187 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm479,000$479,000$479,000$
Dylan OhlerRochester LakersC2110/3/1995No201 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm371,450$
Geoffrey PalaiaRochester LakersC209/19/1996No179 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm565,385$565,385$
Jarrod DanielRochester LakersLW359/16/1981No205 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm1,652,000$1,652,000$1,652,000$1,652,000$
Joseph BraithwaiteRochester LakersRW326/29/1984No234 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm476,000$476,000$476,000$
Kevin KaufmannRochester LakersLW369/20/1980No216 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm655,000$
Kevin KoetterRochester LakersLW199/30/1997No171 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm401,466$401,466$401,466$
Lloyd PooserRochester LakersD335/16/1984No221 Lbs6 ft8NoNoNo3Sans RestrictionPro & Farm2,200,000$2,200,000$2,200,000$
Marc RespressRochester LakersD233/19/1994No150 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm900,000$900,000$900,000$
Marshall ReasonerRochester LakersLW3310/16/1983No192 Lbs5 ft8NoNoNo1Sans RestrictionPro & Farm580,000$
Matt AtcherRochester LakersLW271/14/1990No226 Lbs6 ft6NoNoNo3Avec RestrictionPro & Farm1,717,000$1,717,000$1,717,000$
Nicholas BlanchardRochester LakersRW309/13/1986No184 Lbs5 ft10NoNoNo1Sans RestrictionPro & Farm555,000$
Ryan DenneRochester LakersC221/25/1995No201 Lbs6 ft6NoNoNo3Contrat d'EntréePro & Farm471,000$471,000$471,000$
Shane LorelliRochester LakersD2311/6/1993No173 Lbs6 ft5NoNoNo3Avec RestrictionPro & Farm640,000$640,000$640,000$
Shawn VacheresseRochester LakersD287/8/1988No202 Lbs6 ft11NoNoNo3Sans RestrictionPro & Farm2,503,000$2,503,000$2,503,000$
Todd BarkleyRochester LakersRW374/26/1980No204 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm453,000$453,000$453,000$
Todd Newberry (Sur la Masse Salariale)Rochester LakersC382/17/1979No193 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm3,000,000$
Troy DorseyRochester LakersD366/18/1980No198 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm454,000$454,000$454,000$
Walter SpannRochester LakersRW3212/28/1984No210 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm473,000$473,000$473,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2129.33197 Lbs6 ft22.481,069,268$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
22,454,634$16,718,184$16,152,799$4,985,333$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt AtcherGeoffrey PalaiaAustin Travillian40122
2Kevin KaufmannCharles SchneiderNicholas Blanchard30122
3Kevin KoetterRyan DenneTodd Barkley20122
4Marshall ReasonerDylan OhlerWalter Spann10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shawn VacheresseMarc Respress40122
2Shane LorelliLloyd Pooser30122
3Benjamin HoytTroy Dorsey20122
4Shawn VacheresseMarc Respress10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt AtcherGeoffrey PalaiaAustin Travillian60122
2Kevin KaufmannCharles SchneiderNicholas Blanchard40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shawn VacheresseMarc Respress60122
2Shane LorelliLloyd Pooser40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Austin TravillianMatt Atcher60122
2Geoffrey PalaiaKevin Kaufmann40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shawn VacheresseMarc Respress60122
2Shane LorelliLloyd Pooser40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Austin Travillian60122Shawn VacheresseMarc Respress60122
2Matt Atcher40122Shane LorelliLloyd Pooser40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Austin TravillianMatt Atcher60122
2Geoffrey PalaiaKevin Kaufmann40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shawn VacheresseMarc Respress60122
2Shane LorelliLloyd Pooser40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt AtcherGeoffrey PalaiaAustin TravillianShawn VacheresseMarc Respress
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt AtcherGeoffrey PalaiaAustin TravillianShawn VacheresseMarc Respress
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kevin Koetter, Marshall Reasoner, Ryan DenneKevin Koetter, Marshall ReasonerRyan Denne
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Benjamin Hoyt, Troy Dorsey, Shane LorelliBenjamin HoytTroy Dorsey, Shane Lorelli
Tirs de Pénalité
Austin Travillian, Matt Atcher, Geoffrey Palaia, Kevin Kaufmann, Kevin Koetter
Gardien
#1 : Jarrod Daniel, #2 : Joseph Braithwaite


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Cincinnati Clippers11000000321110000003210000000000021.00036900120038111512027112217114.29%10100.00%011316867.26%7413754.01%437358.90%2415187169
2Indianapolis Racers11000000606110000006060000000000021.0006101601033041818150251315259444.44%000.00%011316867.26%7413754.01%437358.90%23131881710
3Louisville Red Devils11000000211000000000001100000021121.000246000200321414403216419100.00%20100.00%011316867.26%7413754.01%437358.90%2114228167
4Pittsburgh Yellow Jackets10010000220100100002200000000000010.500246000110329101302526156116.67%30100.00%011316867.26%7413754.01%437358.90%241421101910
5Portland Wolves1010000023-1000000000001010000023-100.000235002000331213803410814500.00%4250.00%011316867.26%7413754.01%437358.90%2212208178
Since Last GM Reset6420000018126421100001486221-1000044080.6671831490158502146784630182584311232618.75%14378.57%011316867.26%7413754.01%437358.90%138831225310355
7Toronto Royals1010000034-11010000034-10000000000000.000347002010381314110396818400.00%4175.00%011316867.26%7413754.01%437358.90%2214208168
Total63210000181264211000014862110000044070.5831831490158502146784630182584311232618.75%14378.57%011316867.26%7413754.01%437358.90%138831225310355
Vs Conference5311000016974211000014861100000021170.700162844013850181557155014848359827622.22%10190.00%011316867.26%7413754.01%437358.90%11670101448646
Vs Division5311000016974211000014861100000021170.700162844013850181557155014848359827622.22%10190.00%011316867.26%7413754.01%437358.90%11670101448646

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
67W1183149214182584311201
Tous les Matchs
GPWLOTWOTL TGFGA
6320011812
Matchs locaux
GPWLOTWOTL TGFGA
421001148
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
21100044
Derniers 10 Matchs
WLOTWOTL T
32001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
32618.75%14378.57%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
67846305850
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
11316867.26%7413754.01%437358.90%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
138831225310355


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
3 - 2017-12-1115Pittsburgh Yellow Jackets2Rochester Lakers2TXSommaire du Match
7 - 2017-12-1529Toronto Royals4Rochester Lakers3LSommaire du Match
10 - 2017-12-1849Rochester Lakers2Louisville Red Devils1WSommaire du Match
12 - 2017-12-2058Cincinnati Clippers2Rochester Lakers3WSommaire du Match
16 - 2017-12-2482Rochester Lakers2Portland Wolves3LSommaire du Match
17 - 2017-12-2589Indianapolis Racers0Rochester Lakers6WSommaire du Match
21 - 2017-12-29109Louisville Red Devils-Rochester Lakers-
24 - 2018-01-01125Rochester Lakers-Toronto Royals-
25 - 2018-01-02132Rochester Lakers-Indianapolis Racers-
27 - 2018-01-04143Toronto Royals-Rochester Lakers-
32 - 2018-01-09166Lehigh Valley Rockets-Rochester Lakers-
34 - 2018-01-11178Rochester Lakers-Toronto Royals-
36 - 2018-01-13191Binghamton Roadrunners-Rochester Lakers-
39 - 2018-01-16201Rochester Lakers-Lehigh Valley Rockets-
41 - 2018-01-18217Rochester Lakers-Portland Wolves-
42 - 2018-01-19223Philadelphia Patriots-Rochester Lakers-
45 - 2018-01-22240Rochester Lakers-Syracuse Bulls-
47 - 2018-01-24245Rochester Lakers-Richmond Robins-
48 - 2018-01-25255Saint John Winterhawks-Rochester Lakers-
52 - 2018-01-29275Baltimore Tigers-Rochester Lakers-
54 - 2018-01-31286Rochester Lakers-Quebec Cavaliers-
58 - 2018-02-04303Ottawa Spartans-Rochester Lakers-
60 - 2018-02-06315Rochester Lakers-Virginia Mariners-
63 - 2018-02-09327Rochester Lakers-Boston Eagles-
64 - 2018-02-10335Brooklyn Dragons-Rochester Lakers-
68 - 2018-02-14358Richmond Robins-Rochester Lakers-
70 - 2018-02-16370Rochester Lakers-Halifax Kings-
72 - 2018-02-18385Virginia Mariners-Rochester Lakers-
75 - 2018-02-21401Rochester Lakers-Pittsburgh Yellow Jackets-
77 - 2018-02-23410Burlington Cougars-Rochester Lakers-
79 - 2018-02-25427Rochester Lakers-Pittsburgh Yellow Jackets-
82 - 2018-02-28439Pittsburgh Yellow Jackets-Rochester Lakers-
85 - 2018-03-03457Rochester Lakers-Baltimore Tigers-
87 - 2018-03-05466Cincinnati Clippers-Rochester Lakers-
91 - 2018-03-09490Rochester Lakers-Worcester Plainsmen-
92 - 2018-03-10494Washington Americans-Rochester Lakers-
95 - 2018-03-13516Albany Indians-Rochester Lakers-
97 - 2018-03-15527Rochester Lakers-Indianapolis Racers-
99 - 2018-03-17541Rochester Lakers-Brooklyn Dragons-
101 - 2018-03-19546Rochester Lakers-Philadelphia Patriots-
102 - 2018-03-20551Buffalo Wings-Rochester Lakers-
105 - 2018-03-23573Indianapolis Racers-Rochester Lakers-
107 - 2018-03-25578Rochester Lakers-Washington Americans-
111 - 2018-03-29602Louisville Red Devils-Rochester Lakers-
112 - 2018-03-30605Rochester Lakers-Montreal Voyageurs-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
118 - 2018-04-05630Boston Eagles-Rochester Lakers-
120 - 2018-04-07640Rochester Lakers-Buffalo Wings-
123 - 2018-04-10653Buffalo Wings-Rochester Lakers-
129 - 2018-04-16679Providence Englishmen-Rochester Lakers-
130 - 2018-04-17682Rochester Lakers-Cincinnati Clippers-
131 - 2018-04-18692Rochester Lakers-Louisville Red Devils-
134 - 2018-04-21700Rochester Lakers-Buffalo Wings-
135 - 2018-04-22705Rochester Lakers-Cincinnati Clippers-
140 - 2018-04-27725Portland Wolves-Rochester Lakers-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna2600180012001000800
Prix des Billets72584632184
Assistance104007200480040003200
Attendance PCT100.00%100.00%100.00%100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
23 7400 - 100.00% 526,000$2,104,000$7400145

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
19,454,634$ 19,454,634$ 0$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jourTaxe de Luxe Totale
2,604,118$ 137,004$ 2,604,118$ 706,051$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
12,098,000$ 125 137,004$ 17,125,500$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
19,397,700$ 19,729,618$ 23,741,071$ 16,441,371$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Matt AtcherAGE:27PO:21OV:78
Kevin KaufmannAGE:36PO:8OV:71
Kevin KoetterAGE:19PO:69OV:70
Marshall ReasonerAGE:33PO:44OV:69
Jonathon OlquinAGE:20PO:47OV:67
Raymond HamonAGE:21PO:55OV:61
Rob WoodhamAGE:22PO:55OV:59
Andrew SmythAGE:21PO:38OV:59
Kurtis MattieAGE:20PO:66OV:58
Cole HungerfordAGE:20PO:52OV:58
Todd NewberryAGE:38PO:1OV:81
Geoffrey PalaiaAGE:20PO:60OV:74
Charles SchneiderAGE:30PO:44OV:68
Ryan DenneAGE:22PO:37OV:68
Dylan OhlerAGE:21PO:41OV:67
Vernon AsherAGE:24PO:24OV:63
Will McCarthyAGE:19PO:52OV:60
Ross NiederAGE:23PO:30OV:60
Stephen VanstoneAGE:23PO:75OV:59
Kurtis MattieAGE:20PO:66OV:58
Austin TravillianAGE:28PO:15OV:81
Nicholas BlanchardAGE:30PO:48OV:68
Ryan KabelAGE:21PO:41OV:68
Walter SpannAGE:32PO:36OV:67
Todd BarkleyAGE:37PO:10OV:67
Ronald WymanAGE:32PO:45OV:66
Scott PospisilAGE:28PO:46OV:65
Craig StahlAGE:34PO:27OV:64
Brent ClerkleyAGE:20PO:56OV:60
Carey EmersonAGE:19PO:64OV:59

Défense #1Défense #2Gardien
Shawn VacheresseAGE:28PO:20OV:82
Marc RespressAGE:23PO:48OV:77
Shane LorelliAGE:23PO:58OV:74
Lloyd PooserAGE:33PO:35OV:73
Benjamin HoytAGE:33PO:37OV:70
Keith MardirosianAGE:21PO:63OV:68
Ty GoldthwaitAGE:29PO:20OV:68
Greg BarschAGE:29PO:13OV:68
Troy DorseyAGE:36PO:9OV:67
Alton KesichAGE:26PO:40OV:66
Tom WakeAGE:33PO:34OV:66
Tony CrandallAGE:24PO:47OV:65
Samuel ManigaultAGE:22PO:57OV:63
Austin LedayAGE:24PO:39OV:62
Harrison WadeAGE:21PO:59OV:61
Brent LeibelAGE:22PO:51OV:60
Adam CrespoAGE:33PO:65OV:58
Nate LangleyAGE:22PO:59OV:58
Aaron SonnierAGE:29PO:46OV:58
Cris LittleAGE:21PO:58OV:55
Jarrod DanielAGE:35PO:17OV:84
Joseph BraithwaiteAGE:32PO:66OV:76
Conor PhillipsAGE:27PO:45OV:74
Joe ApplinAGE:25PO:41OV:74
Collin LeeAGE:30PO:61OV:71
Shelby KemplerAGE:28PO:47OV:70
Bryan KilloranAGE:27PO:43OV:70

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien

Choix au Repêchage

Année R1R2R3R4R5R6R7R8
1002Roc Roc Roc Roc Roc Roc Roc Roc
1003Roc Roc Roc Roc Roc Roc Roc Roc
1004Roc Roc Roc Roc Roc Roc Roc Roc
1005Roc Roc Roc Roc Roc Roc Roc Roc
1006Roc Roc Roc Roc Roc Roc Roc Roc



[12/3/2017 2:36:19 PM] - Aaron Sonnier signed with Rochester Lakers for $200,000 for 2 year(s) with $0 in bonus.
[12/3/2017 2:36:19 PM] - Aaron Sonnier was added to Rochester Lakers.
[12/3/2017 2:36:12 PM] - Adam Crespo signed with Rochester Lakers for $200,000 for 2 year(s) with $0 in bonus.
[12/3/2017 2:36:12 PM] - Adam Crespo was added to Rochester Lakers.
[12/3/2017 2:18:01 PM] - Joe Applin resigned with Rochester Lakers for $371,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Conor Phillips resigned with Rochester Lakers for $371,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Collin Lee resigned with Rochester Lakers for $273,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Joseph Braithwaite resigned with Rochester Lakers for $476,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Jarrod Daniel resigned with Rochester Lakers for $1,652,000 for 4 year(s).
[12/3/2017 2:18:01 PM] - Stephen Vanstone resigned with Rochester Lakers for $267,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Nate Langley resigned with Rochester Lakers for $246,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Samuel Manigault resigned with Rochester Lakers for $295,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Ross Nieder resigned with Rochester Lakers for $253,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Vernon Asher resigned with Rochester Lakers for $330,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Alton Kesich resigned with Rochester Lakers for $435,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Matt Atcher resigned with Rochester Lakers for $1,717,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Shawn Vacheresse resigned with Rochester Lakers for $2,503,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Scott Pospisil resigned with Rochester Lakers for $417,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Greg Barsch resigned with Rochester Lakers for $465,000 for 3 year(s).
[12/3/2017 2:18:00 PM] - Charles Schneider resigned with Rochester Lakers for $479,000 for 3 year(s).
[12/3/2017 2:18:00 PM] - Ronald Wyman resigned with Rochester Lakers for $446,000 for 3 year(s).
[12/3/2017 2:18:00 PM] - Walter Spann resigned with Rochester Lakers for $473,000 for 3 year(s).
[12/3/2017 2:18:00 PM] - Ryan Denne resigned with Rochester Lakers for $471,000 for 3 year(s).
[12/3/2017 2:18:00 PM] - Craig Stahl resigned with Rochester Lakers for $361,000 for 3 year(s).
[12/3/2017 2:18:00 PM] - Tom Wake resigned with Rochester Lakers for $398,000 for 3 year(s).
[12/3/2017 2:18:00 PM] - Troy Dorsey resigned with Rochester Lakers for $454,000 for 3 year(s).
[12/3/2017 2:18:00 PM] - Todd Barkley resigned with Rochester Lakers for $453,000 for 3 year(s).
[9/30/2017 4:53:47 PM] - Jeff Taber contract with Rochester Lakers has ended.
[9/7/2017 6:21:05 PM] - Rochester Lakers are the Playoffs Champions for year 14!
[9/3/2017 1:47:39 PM] - Canadaigua Lakers didn't make playoff for year 14.



[1/4/2018 5:21:01 PM] Rochester Lakers lines for next game are empty. Current rosters/lines are not erased.
[1/4/2018 5:20:58 PM] Auto Lines Function has been run for Rochester Lakers.
[1/4/2018 5:20:58 PM] Auto Roster Partial Function has been run for Rochester Lakers.
[1/4/2018 5:20:58 PM] Dylan Ohler of Rochester Lakers was sent to pro.
[1/4/2018 5:20:58 PM] Both Rochester Lakers and Canadaigua Lakers lines for next game are empty. Current rosters/lines are not erased.
[1/4/2018 5:20:57 PM] Game 82 - Todd Newberry from Rochester Lakers is injured (Sore Left Knee) and is out for 1 week.
[1/4/2018 5:20:56 PM] Jonathon Olquin from Canadaigua Lakers has scored a Hat Trick!
[1/4/2018 5:20:55 PM] Raymond Hamon from Canadaigua Lakers is back from Dislocated Patella Injury.
[1/4/2018 5:20:55 PM] Tom Wake from Canadaigua Lakers is back from Bruised Right Shoulder Injury.
[1/4/2018 5:20:45 PM] Auto Lines Function has been run for Canadaigua Lakers.
[1/4/2018 5:20:45 PM] Auto Lines Function has been run for Rochester Lakers.
[1/4/2018 5:20:41 PM] Auto Roster Function has been run for Rochester Lakers.
[12/9/2017 3:18:55 PM] Rochester Lakers are expected to be over the salary cap by $1,203,362!
[12/9/2017 3:18:44 PM] Canadaigua Lakers lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:38 PM] Rochester Lakers lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:31 PM] Both Rochester Lakers and Canadaigua Lakers lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:28 PM] Auto Lines Function has been run for Canadaigua Lakers.
[12/9/2017 3:18:28 PM] Auto Roster Partial Function has been run for Rochester Lakers.
[12/9/2017 3:18:20 PM] Vernon Asher from Canadaigua Lakers is back from Exhaustion.
[12/9/2017 3:18:20 PM] Rochester Lakers lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:17 PM] Dylan Ohler from Canadaigua Lakers is back from Exhaustion.
[12/9/2017 3:18:17 PM] Ryan Kabel from Canadaigua Lakers is back from Exhaustion.
[12/9/2017 3:18:17 PM] Canadaigua Lakers lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:17 PM] Vernon Asher from Canadaigua Lakers is injured from Exhaustion.
[12/9/2017 3:18:16 PM] Auto Lines Function has been run for Canadaigua Lakers.
[12/9/2017 3:18:16 PM] Auto Roster Farm Only Function has been run for Rochester Lakers.
[12/9/2017 3:18:15 PM] Canadaigua Lakers lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:14 PM] Dylan Ohler from Canadaigua Lakers is injured from Exhaustion.
[12/9/2017 3:18:14 PM] Ryan Kabel from Canadaigua Lakers is injured from Exhaustion.
[12/9/2017 3:18:13 PM] Vernon Asher from Canadaigua Lakers is back from Left Leg Injury.
[12/9/2017 3:18:13 PM] Canadaigua Lakers lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:09 PM] Rochester Lakers lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:07 PM] Canadaigua Lakers lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:17:48 PM] Auto Lines Function has been run for Canadaigua Lakers.
[12/9/2017 3:17:48 PM] Auto Lines Function has been run for Rochester Lakers.



Todd Newberry est dehors pour 4 jours à cause de Sore Left Knee Injury.



LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison Régulière
07-088038268350027222052402011612001421093340181522300130111198427245472601938690328301058887863222612927163518653105517.74%2713786.35%111010211647.73%943197347.80%709137151.71%168089616497731526766
08-09803135932002882853401915312001511381340122062000137147-107128849077800105928832780101986188713279393685818912703713.70%2633686.31%13896196645.57%963204347.14%677140748.12%1696924366016911491749
09-1080343282400294293140151940200146160-14401913422001481331576294504798009010696228351023977822132832958107318112924214.38%2793786.74%12935193748.27%936199446.94%734149049.26%1689927597327381496745
10-118041258600029126328402197300016113328402016130001301300902914827732197989062794102390883825273489075216542774415.88%2765580.07%81026201550.92%1054206651.02%625126649.37%172897416707481457726
11-12803131115200281277440141554200135130540171661000146147-1732814657461083113805277191298784428267288375317343035116.83%3375683.38%41107206053.74%1117210852.99%673126653.16%172797917047591433709
12-1380392666300279248314023112310013510431401615432001441440842794787573092899262788101288587318266285286916912923813.01%3125482.69%71063204551.98%1095211251.85%630119152.90%174899416807471416714
13-1480372412610028424143401714531001491242540201073000135117188628447075401839510062654973876765402636859109516394016315.71%4136384.75%31077216849.68%1128218151.72%606119950.54%172394617057801452716
14-15803132103400263276-1340181551100130132-240131752300133144-11722634487113095838232848110586685225280598797216653957318.48%3635584.85%81175223252.64%1128220151.25%611120350.79%173197717147511410700
15-1680392412500029125239401713730001521331940221152000139119209029149078112939010352757102284685534270286670915983656918.90%3485384.77%21225217956.22%1216216456.19%678122455.39%176799816797451430728
16-17804122113300276219574020125120013611422402110621001401053593276490766219586923260394779384518237379464716293496518.62%2693885.87%51144199957.23%1098191657.31%677120256.32%1801103916507321414721
100163210000181264211000014862110000044071831490158502146784630182584311232618.75%14378.57%011316867.26%7413754.01%437358.90%138831225310355
Total Saison Régulière8063652799642240028372586251404186135502013001451128516640217914446221100138613018582628374802763912793194691842278741016189708507236270039010940617289328654316.52%314548784.52%73107712088551.57%107522089551.46%66631289251.68%1743497442321110521146337334