Rochester Lakers

GP: 0 | W: 0 | L: 0 | T: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Buredemann Ltd. | Morale : 48 | Moyenne d'Équipe : 72
Prochain matchs #5 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 Travillian22X99.3518199607599839962999991899996451820
2Matt Atcher26X99.9611996283916496899799989999751251800
3Geoffrey Palaia16X100.005421797376858281878894697093574979760
4Kevin Koetter23X100.00854097370777083158995627092556077730
5Desmond Haymer0X100.008629546081727077997880446999842271690
6Danny Toland (R)0X100.007226997261856169186497555073736576680
7Travis Lalor0X100.0051996084746464408190655099695257680
8Owen McMullan0X100.0021996378847786525993435099972757680
9Jonathon Olquin0X100.00255997480788090526187247099934078680
10Richard Villalobos0X100.009924596276456463846763686899992132660
11Ronald Wyman0XX100.008511865783526570837271507599993243660
12Shawn Vacheresse7X100.009934297382997795499286985699801154840
13Marc Respress34X98.3131998367714999249999935097993947770
14Shane Lorelli2X100.009342527974764799257498797099765176770
15Lloyd Pooser4X100.009936236382616079424278927599992465740
16Keith Mardirosian0X100.006326567676837872665977607099935362690
17Nicholas Clausen5XX100.009936246576718763844233674699991970680
18Riley Sutulovich0X100.009929377868616865867289349999891346670
Rayé
1Albert Hope0X0.00301995584465893999786377799993341700
2Casey Frazier0X0.008924557345845066465292945090746553700
3Gerardo Culley0X100.001199687254778380969459299922633670
4Jarrod Rusch0X100.00119968816059681738159829984120650
5Mike Rucinski0X84.5811996376153391688989877799992342680
MOYENNE D'ÉQUIPE90.53531772687571668059768664709786325671
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
1Craig Johnson100.00623673787195999999717684994519800
2Conor Phillips100.00737063726994729388677299544170760
Rayé
1Jarrod Daniel89.6862517378709999999974839999571830
MOYENNE D'ÉQUIPE96.5666527076709690979571779484305380
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Taber75847899819949USA4931,200,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Albert Hope (Sur la Masse Salariale)Rochester LakersLW331/17/1986No245 Lbs6 ft5NoNoNo1Sans RestrictionPro & Farm500,000$500,000$500,000$No
Austin TravillianRochester LakersRW3010/31/1988No206 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm3,333,333$3,333,333$3,333,333$No
Casey Frazier (Sur la Masse Salariale)Rochester LakersRW201/19/1999No180 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm550,000$550,000$550,000$No
Conor PhillipsRochester LakersG284/13/1990No174 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm391,515$391,515$391,515$No
Craig JohnsonRochester LakersG3611/16/1982No207 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm700,000$700,000$700,000$No
Danny TolandRochester LakersLW191/9/2000Yes190 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm555,769$555,769$555,769$No
Desmond HaymerRochester LakersC2912/14/1989No229 Lbs6 ft5NoNoNo2Sans RestrictionPro & Farm550,000$550,000$550,000$No
Geoffrey PalaiaRochester LakersC229/19/1996No188 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm565,385$565,385$565,385$No
Gerardo CulleyRochester LakersLW336/21/1985No190 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm490,000$490,000$490,000$No
Jarrod Daniel (Sur la Masse Salariale)Rochester LakersG379/16/1981No205 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$3,500,000$No
Jarrod RuschRochester LakersRW296/23/1989No212 Lbs6 ft9NoNoNo3Sans RestrictionPro & Farm400,000$400,000$400,000$No
Jonathon OlquinRochester LakersLW212/21/1997No198 Lbs6 ft8NoNoNo1Contrat d'EntréePro & Farm250,898$250,898$250,898$No
Keith MardirosianRochester LakersD239/3/1995No184 Lbs6 ft5NoNoNo4Avec RestrictionPro & Farm450,000$450,000$450,000$No
Kevin KoetterRochester LakersLW219/30/1997No178 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm401,466$401,466$401,466$No
Lloyd PooserRochester LakersD345/16/1984No224 Lbs6 ft8NoNoNo2Sans RestrictionPro & Farm2,600,000$2,600,000$2,600,000$No
Marc RespressRochester LakersD243/19/1994No152 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm900,000$900,000$900,000$No
Matt AtcherRochester LakersLW291/14/1990No229 Lbs6 ft6NoNoNo5Sans RestrictionPro & Farm1,025,000$1,025,000$1,025,000$No
Mike Rucinski (Sur la Masse Salariale)Rochester LakersD366/27/1982No205 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm455,000$455,000$455,000$No
Nicholas ClausenRochester LakersRW/D345/24/1984No206 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm550,000$550,000$550,000$No
Owen McMullanRochester LakersC2610/11/1992No213 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm440,000$440,000$440,000$No
Richard VillalobosRochester LakersRW346/1/1984No210 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm400,000$400,000$400,000$No
Riley SutulovichRochester LakersD283/8/1990No164 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm430,000$430,000$430,000$No
Ronald WymanRochester LakersC/RW346/27/1984No234 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm575,000$575,000$575,000$No
Shane LorelliRochester LakersD2511/6/1993No178 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm640,000$640,000$640,000$No
Shawn VacheresseRochester LakersD307/8/1988No205 Lbs6 ft11NoNoNo5Sans RestrictionPro & Farm2,555,750$2,555,750$2,555,750$No
Travis LalorRochester LakersC266/19/1992No233 Lbs6 ft7NoNoNo1Avec RestrictionPro & Farm355,000$355,000$355,000$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2628.50202 Lbs6 ft32.12906,312$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
23,564,116$14,792,833$9,309,852$5,026,519$3,580,750$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt AtcherGeoffrey PalaiaAustin Travillian40122
2Kevin KoetterDesmond HaymerNicholas Clausen30122
3Danny TolandTravis LalorRichard Villalobos20122
4Jonathon OlquinOwen McMullanRonald Wyman10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shawn VacheresseMarc Respress40122
2Shane LorelliLloyd Pooser30122
3Keith MardirosianRiley Sutulovich20122
4Shawn VacheresseMarc Respress10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt AtcherGeoffrey PalaiaAustin Travillian60122
2Kevin KoetterDesmond HaymerNicholas Clausen40122
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 Koetter40122
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 Koetter40122
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
Danny Toland, Jonathon Olquin, Travis LalorDanny Toland, Jonathon OlquinTravis Lalor
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Keith Mardirosian, Riley Sutulovich, Nicholas ClausenKeith MardirosianRiley Sutulovich, Nicholas Clausen
Tirs de Pénalité
Austin Travillian, Matt Atcher, Geoffrey Palaia, Kevin Koetter, Desmond Haymer
Gardien
#1 : Craig Johnson, #2 : Conor Phillips


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL TGFGA
00000000
Matchs locaux
GPWLOTWOTL TGFGA
00000000
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
00000000
Derniers 10 Matchs
WLOTWOTL T
00000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2019-09-035Rochester Lakers-Pittsburgh Yellow Jackets-
4 - 2019-09-0513Rochester Lakers-Pittsburgh Yellow Jackets-
6 - 2019-09-0721Pittsburgh Yellow Jackets-Rochester Lakers-
8 - 2019-09-0929Pittsburgh Yellow Jackets-Rochester Lakers-
10 - 2019-09-1137Rochester Lakers-Pittsburgh Yellow Jackets-
12 - 2019-09-1345Pittsburgh Yellow Jackets-Rochester Lakers-
14 - 2019-09-1553Rochester Lakers-Pittsburgh Yellow Jackets-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna2600180012001000800
Prix des Billets95776142243
Assistance0.00%0.00%0.00%0.00%0.00%
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
40 0 - 0.00%0$0$7400155

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 18,559,116$ 18,559,116$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 392,484$ 22 4

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 14 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 37,593,499$ 37,593,499$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Matt AtcherAGE:29PO:12OV:80
Kevin KoetterAGE:21PO:60OV:73
Albert HopeAGE:33PO:33OV:70
*Danny TolandAGE:19PO:65OV:68
Jonathon OlquinAGE:21PO:40OV:68
Gerardo CulleyAGE:33PO:26OV:67
Raymond HamonAGE:23PO:48OV:66
*Chris KinatyanAGE:19PO:83OV:61
Phil BarneyAGE:19PO:39OV:61
Kurtis MattieAGE:22PO:61OV:58
Cole HungerfordAGE:22PO:46OV:58
Eric GormleyAGE:22PO:56OV:57
Peter CariasAGE:19PO:56OV:56
Geoffrey PalaiaAGE:22PO:49OV:76
Desmond HaymerAGE:29PO:22OV:69
Travis LalorAGE:26PO:52OV:68
Dylan OhlerAGE:23PO:33OV:68
Owen McMullanAGE:26PO:27OV:68
Ronald WymanAGE:34PO:32OV:66
*Troy AltmanAGE:19PO:68OV:65
Tyler MacKessyAGE:24PO:37OV:64
Vernon AsherAGE:25PO:15OV:64
*Devin WohlerAGE:18PO:61OV:60
Micah ErdahlAGE:20PO:44OV:59
Kurtis MattieAGE:22PO:61OV:58
Will McCarthyAGE:20PO:47OV:58
Austin TravillianAGE:30PO:4OV:82
Casey FrazierAGE:20PO:65OV:70
Nicholas ClausenAGE:34PO:19OV:68
Ronald WymanAGE:34PO:32OV:66
Richard VillalobosAGE:34PO:21OV:66
Gabriel LarrowAGE:20PO:50OV:65
Jarrod RuschAGE:29PO:1OV:65
Craig StahlAGE:36PO:16OV:63
Brent ClerkleyAGE:22PO:51OV:59
Carey EmersonAGE:21PO:61OV:58
*Stefan KarlssonAGE:19PO:66OV:57

Défense #1Défense #2Gardien
Shawn VacheresseAGE:30PO:11OV:84
Shane LorelliAGE:25PO:51OV:77
Marc RespressAGE:24PO:39OV:77
Lloyd PooserAGE:34PO:24OV:74
Keith MardirosianAGE:23PO:53OV:69
Mike RucinskiAGE:36PO:23OV:68
Nicholas ClausenAGE:34PO:19OV:68
John NecaiseAGE:33PO:39OV:67
Alton KesichAGE:28PO:33OV:67
Riley SutulovichAGE:28PO:13OV:67
Joel EatmanAGE:29PO:24OV:66
Tony CrandallAGE:25PO:38OV:65
*Jon ReidAGE:18PO:63OV:62
Samuel ManigaultAGE:23PO:51OV:61
Austin LedayAGE:25PO:30OV:61
Nathan SoucyAGE:24PO:73OV:60
*Loren TimminsAGE:18PO:51OV:59
Garrett StiltnerAGE:25PO:45OV:58
Jarrod DanielAGE:37PO:5OV:83
Craig JohnsonAGE:36PO:45OV:80
Conor PhillipsAGE:28PO:41OV:76
Kyle HillAGE:30PO:17OV:75
Eric WischAGE:19PO:72OV:74
Joe ApplinAGE:27PO:33OV:74
Kent BaroneAGE:26PO:30OV:65

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
17Roc Roc Roc Roc Bal Wor Roc Roc Roc
18Roc Roc Roc Roc Roc Roc Roc Roc
19Roc Roc Roc Roc Roc Roc Roc Roc
20Roc Roc Roc Roc Roc Roc Roc Roc
21Roc Roc Roc Roc Roc Roc Roc Roc



[9/2/2019 1:31:47 PM] - Canadaigua Lakers didn't make playoff for year 16.
[7/7/2019 3:11:30 PM] - Nathan Soucy signed with Rochester Lakers for $207,500 for 1 year(s).
[7/7/2019 3:11:30 PM] - Nathan Soucy was added to Rochester Lakers.
[7/7/2019 3:11:03 PM] - Joel Eatman signed with Rochester Lakers for $250,000 for 1 year(s).
[7/7/2019 3:11:03 PM] - Joel Eatman was added to Rochester Lakers.
[7/4/2019 9:35:17 PM] - TRADE : From Worcester Plainsmen to Rochester Lakers : Travis Lalor (68), Y:17-RND:6-Wor.
[7/4/2019 9:35:17 PM] - TRADE : From Rochester Lakers to Worcester Plainsmen : Will Rayner (66), Y:17-RND:5-Roc.
[6/15/2019 12:49:01 PM] - TRADE : From Rochester Lakers to Baltimore Tigers : Hunter Gebhardt (66), Ryan Kabel (66).
[6/15/2019 12:49:01 PM] - TRADE : From Baltimore Tigers to Rochester Lakers : Albert Hope (71), Y:17-RND:4-Bal.
[6/13/2019 11:29:49 PM] - Cris Little was released.
[6/13/2019 11:29:49 PM] - Rochester Lakers paid $0 to release Cris Little.
[6/13/2019 11:29:46 PM] - Stephen Vanstone was released.
[6/13/2019 11:29:46 PM] - Rochester Lakers paid $0 to release Stephen Vanstone.
[6/13/2019 11:29:44 PM] - Rob Woodham was released.
[6/13/2019 11:29:44 PM] - Rochester Lakers paid $0 to release Rob Woodham.
[6/13/2019 11:29:41 PM] - Harrison Wade was released.
[6/13/2019 11:29:41 PM] - Rochester Lakers paid $0 to release Harrison Wade.
[6/13/2019 11:29:38 PM] - Brent Leibel was released.
[6/13/2019 11:29:38 PM] - Rochester Lakers paid $0 to release Brent Leibel.
[6/13/2019 11:29:34 PM] - Andrew Smyth was released.
[6/13/2019 11:29:34 PM] - Rochester Lakers paid $0 to release Andrew Smyth.
[6/10/2019 9:50:06 PM] - Tyson Souter was released.
[6/10/2019 9:50:06 PM] - Craig Gethers was released.
[6/9/2019 4:30:48 PM] - Canadaigua Lakers hired Jeff Hodgen for $240,000 for 3 year(s).
[6/9/2019 11:41:24 AM] - Kent Barone signed with Rochester Lakers for $210,000 for 1 year(s).
[6/9/2019 11:41:24 AM] - Kent Barone was added to Rochester Lakers.
[6/9/2019 11:41:08 AM] - Kyle Hill signed with Rochester Lakers for $423,500 for 3 year(s).
[6/9/2019 11:41:08 AM] - Kyle Hill was added to Rochester Lakers.
[6/9/2019 12:44:24 AM] - Will Rayner signed with Rochester Lakers for $360,000 for 2 year(s).
[6/9/2019 12:44:24 AM] - Will Rayner was added to Rochester Lakers.
[6/9/2019 12:43:55 AM] - Riley Sutulovich signed with Rochester Lakers for $430,000 for 1 year(s).
[6/9/2019 12:43:55 AM] - Riley Sutulovich was added to Rochester Lakers.
[6/9/2019 12:43:42 AM] - Mike Rucinski signed with Rochester Lakers for $455,000 for 1 year(s).
[6/9/2019 12:43:42 AM] - Mike Rucinski was added to Rochester Lakers.
[6/7/2019 10:52:55 PM] - Jarrod Rusch signed with Rochester Lakers for $400,000 for 3 year(s).
[6/7/2019 10:52:55 PM] - Jarrod Rusch was added to Rochester Lakers.
[6/7/2019 10:52:43 PM] - Richard Villalobos signed with Rochester Lakers for $400,000 for 1 year(s).
[6/7/2019 10:52:43 PM] - Richard Villalobos was added to Rochester Lakers.
[6/7/2019 8:52:13 PM] - Gerardo Culley signed with Rochester Lakers for $490,000 for 1 year(s).
[6/7/2019 8:52:13 PM] - Gerardo Culley was added to Rochester Lakers.
[6/5/2019 9:52:56 PM] - Tyler MacKessy signed with Rochester Lakers for $255,000 for 2 year(s).
[6/5/2019 9:52:56 PM] - Tyler MacKessy was added to Rochester Lakers.
[6/5/2019 9:34:27 PM] - Desmond Haymer signed with Rochester Lakers for $550,000 for 2 year(s).
[6/5/2019 9:34:27 PM] - Desmond Haymer was added to Rochester Lakers.
[6/5/2019 12:15:08 AM] - Vernon Asher signed with Rochester Lakers for $335,019 for 1 year(s).
[6/5/2019 12:15:08 AM] - Vernon Asher was added to Rochester Lakers.
[6/5/2019 12:14:46 AM] - Tony Crandall signed with Rochester Lakers for $364,100 for 1 year(s).
[6/5/2019 12:14:46 AM] - Tony Crandall was added to Rochester Lakers.
[6/2/2019 2:59:45 PM] - Loren Timmins was added to Rochester Lakers.
[6/2/2019 2:59:45 PM] - Stefan Karlsson was added to Rochester Lakers.



[9/2/2019 1:26:50 PM] Raymond Hamon from Canadaigua Lakers is back from Exhaustion.
[9/2/2019 1:26:48 PM] John Necaise from Canadaigua Lakers is back from Exhaustion.
[9/2/2019 1:26:48 PM] Canadaigua Lakers lines for next game are empty. Current rosters/lines are not erased.
[9/2/2019 1:26:47 PM] Raymond Hamon from Canadaigua Lakers is injured from Exhaustion.
[9/2/2019 1:26:39 PM] Auto Lines Function has been run for Canadaigua Lakers.
[9/2/2019 1:26:39 PM] Auto Lines Function has been run for Rochester Lakers.



Jarrod Daniel est dehors pour 5 jours à cause de Head Injury.
Mike Rucinski est dehors pour 1 semaine à cause de Bruised Left Leg Injury.
Albert Hope est dehors pour le reste de la saison à cause de Torn Right ACL Injury.
Samuel Manigault est dehors pour le reste de la saison à cause de Torn Left ACL Injury - Oct 2019.
Casey Frazier est dehors pour le reste de la saison à cause de Back Surgery 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
16803230141300245245040171461200118113540151680100127132-5782454256703172101711246585384674620248785291115683707420.00%4016085.04%61080200253.95%1105208353.05%641114755.88%170694817457621424712
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
17-18804223111300261228334018138010012311013402410312001381182095261454715228495811248886885674816241674977716423265617.18%3295483.59%91063197153.93%1035190954.22%652116156.16%1763101517007411402701
Total Saison Régulière960436330120443000332530472784802191616321160016781500178480217169572314001647154710099233255650897517910821134106544326131181510588993827231724105531105120387395066716.89%386159884.51%88128012469051.85%128182475051.79%79131512752.31%20764116242653511973173568692