Lake Erie Monsters

GP: 82 | W: 11 | L: 65 | OTL: 6 | P: 28
GF: 185 | GA: 431 | PP%: 13.33% | PK%: 71.23%
DG: Jean-Francois Moquin | Morale : 11 | Moyenne d'Équipe : N/A
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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
1J.T. Compher (R)X100.0056506778677969737560666950505017000
2Hudson Fasching (R)XX100.0068506775795663605060556350505017000
3Dominik Simon (R)X100.0068648869648469627862586355505017000
4Chris VandeVeldeX100.0087506275726293585160587250656617000
5Cristoval Nieves (R)X100.0059766772765861577156546651505017000
6Michael McCarronX100.0086505972885570606261565950505017000
7Riley BarberXX100.0080708671708464635059646561505017000
8Tanner KeroX100.0069508580686787647766647850716717000
9Mark McNeillX100.0068788566788568577159506650505016900
10Anthony DuclairXX100.0052508888787686705070606463716817000
11Brendan GaunceX100.0058507971765466605959555750545412300
12Tanner RichardX100.0058657571658565637960626059505017000
13Brett LernoutX100.0060786265786974502550506150505016900
14Christian FolinX100.0087508274816976672551577750727017000
15Conor AllenX100.0060776267776569502550506150505016900
16Mark FraserX100.0062836863726777502550506650636416900
17Scott MayfieldX100.0067506874836968582560636550505017000
18Petteri LindbohmX100.0056745972746468522550516150505015000
Rayé
1Austin CarrollXX100.0055787664786062555050566353505012000
2Brian HartXX100.0079756063755259505050506150505012000
3Jeremy GregoireX100.0058685864686765516450565753505012000
4Nick MoutreyX100.0055766863767565526550536350505012000
5Tage Thompson (R)X100.0054786267785259506050506550505011900
6Garret RossX100.0052645869645762505050505550505012000
7Miikka SalomakiXX100.0064707477705660535050616258525312000
8Nic KerdilesX100.0069727665725660607552636360505012000
9Justin KeaX100.0072805859805158546850566253505012000
10Philip McRaeX100.0059756763756663506350506450505012000
11Pontus AbergXX100.0058506770675968575057586050505012000
12Tomas NosekX100.0069506169875666587950596150505012000
13Linus ArnessonX100.0058696767695757502550505950505012000
14Thomas Schemitsch (R)X100.0065777261775965502550506450505012000
15Dan Renouf (R)X100.0056765666766467502550505950505011900
16Patrick Sieloff (R)X100.0054755466756367502550505750505011900
17Scott Czarnowczan (R)X100.0054636458635454502550505750505012000
18MacKenzie WeegarX100.0054675764676769582557545951505012000
MOYENNE D'ÉQUIPE100.006466686974646756505455635253531430
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
1Mackenzie Blackwood (R)100.006879868866696770696831666612100
2Pheonix Copley100.007680767672767475717231737117000
Rayé
1Daniel Altshuller100.006269658067666468656331606312000
2Eric Comrie100.006478866366696469656531626312000
3Linus Ullmark100.007283877668706570686831706912000
4Mac Carruth100.005468617760595960596031555712000
MOYENNE D'ÉQUIPE100.00667677776768666966663164651290
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Eric Veilleux45496044616053CAN442100,000$


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 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
Anthony DuclairLake Erie Monsters (Col)LW/RW211995-08-25No185 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm900,000$0$0$No900,000$
Austin CarrollLake Erie Monsters (Col)C/LW221994-03-25No205 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Brendan GaunceLake Erie Monsters (Col)C221994-03-25No207 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Brett LernoutLake Erie Monsters (Col)D211995-09-23No206 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Brian HartLake Erie Monsters (Col)C/LW231993-11-25No203 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Chris VandeVeldeLake Erie Monsters (Col)C291987-03-14No190 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Christian FolinLake Erie Monsters (Col)D251991-02-08No214 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Conor AllenLake Erie Monsters (Col)D261990-01-30No210 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Cristoval NievesLake Erie Monsters (Col)C221994-01-23Yes200 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Dan RenoufLake Erie Monsters (Col)D221994-05-31Yes205 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Daniel AltshullerLake Erie Monsters (Col)G221994-07-24No205 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Dominik SimonLake Erie Monsters (Col)C221994-08-08Yes176 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm925,000$0$0$No
Eric ComrieLake Erie Monsters (Col)G211995-07-05No167 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Garret RossLake Erie Monsters (Col)LW241992-05-26No173 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Hudson FaschingLake Erie Monsters (Col)C/LW211995-07-28Yes216 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
J.T. CompherLake Erie Monsters (Col)C211995-04-08Yes182 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Jeremy GregoireLake Erie Monsters (Col)C211995-09-04No187 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Justin KeaLake Erie Monsters (Col)C221994-02-07No210 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Linus ArnessonLake Erie Monsters (Col)D221994-09-21No188 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Linus UllmarkLake Erie Monsters (Col)G231993-07-31No220 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Mac CarruthLake Erie Monsters (Col)G241992-03-25No190 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
MacKenzie WeegarLake Erie Monsters (Col)D231994-01-07No183 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Mackenzie BlackwoodLake Erie Monsters (Col)G201996-12-08Yes225 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$900,000$
Mark FraserLake Erie Monsters (Col)D301986-09-29No220 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Mark McNeillLake Erie Monsters (Col)LW231993-02-22No214 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm900,000$0$0$No900,000$
Michael McCarronLake Erie Monsters (Col)LW211995-03-06No237 Lbs6 ft5NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$
Miikka SalomakiLake Erie Monsters (Col)C/LW231993-03-08No198 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm990,000$0$0$No990,000$
Nic KerdilesLake Erie Monsters (Col)C231994-01-11No191 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Nick MoutreyLake Erie Monsters (Col)C211995-06-23No208 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Patrick SieloffLake Erie Monsters (Col)D221994-05-14Yes205 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Petteri LindbohmLake Erie Monsters (Col)D231993-09-23No198 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Pheonix CopleyLake Erie Monsters (Col)G241992-01-18No196 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Philip McRaeLake Erie Monsters (Col)C261990-03-14No200 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Pontus AbergLake Erie Monsters (Col)C/LW231993-09-22No189 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Riley BarberLake Erie Monsters (Col)C/LW221994-02-07No194 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Scott CzarnowczanLake Erie Monsters (Col)D251991-05-29Yes176 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Scott MayfieldLake Erie Monsters (Col)D241992-10-14No218 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Tage ThompsonLake Erie Monsters (Col)LW191997-10-30Yes201 Lbs6 ft5NoNoNo1Contrat d'EntréePro & Farm0$0$No
Tanner KeroLake Erie Monsters (Col)C241992-07-24No185 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Tanner RichardLake Erie Monsters (Col)C231993-04-06No176 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Thomas SchemitschLake Erie Monsters (Col)D201996-10-25Yes206 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Tomas NosekLake Erie Monsters (Col)C241992-08-31No210 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
4222.83199 Lbs6 ft22.55428,929$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Abbotsford Heat30300000818-1020200000512-71010000036-300.0008152300835940461738744697141776130512129.52%14564.29%0694204333.97%911281932.32%420131631.91%12348182822604883353
2Adirondack Phantoms20200000114-131010000016-51010000008-800.0001230083594043173874469714873017151000.00%6183.33%0694204333.97%911281932.32%420131631.91%12348182822604883353
3Albany Devils30300000411-71010000025-32020000026-400.000481200835940447738744697141343637501218.33%14285.71%1694204333.97%911281932.32%420131631.91%12348182822604883353
4Binghampton Senateurs20200000313-101010000025-31010000018-700.0003690083594044573874469714782214316116.67%7185.71%0694204333.97%911281932.32%420131631.91%12348182822604883353
5Bridgeport Sound Tigers20100100511-61000010045-11010000016-510.250591400835940432738744697148323182910110.00%9277.78%0694204333.97%911281932.32%420131631.91%12348182822604883353
6Charlotte Checkers31200000911-22110000067-11010000034-120.3339182700835940412773874469714168591570800.00%4250.00%0694204333.97%911281932.32%420131631.91%12348182822604883353
7Chicago Wolves31200000813-51010000015-42110000078-120.3338152300835940495738744697141403332548112.50%16287.50%0694204333.97%911281932.32%420131631.91%12348182822604883353
8Connecticut Whale31001100171342100010011831000100065150.833173350008359404174738744697141394335866233.33%9277.78%0694204333.97%911281932.32%420131631.91%12348182822604883353
9Grand Rapids Griffins404000001321-81010000057-230300000814-600.0001326390083594041357387446971419470318215320.00%13653.85%0694204333.97%911281932.32%420131631.91%12348182822604883353
10Hamilton Bulldogs30300000420-1620200000315-121010000015-400.0004711008359404707387446971413044315616318.75%13561.54%0694204333.97%911281932.32%420131631.91%12348182822604883353
11Hershey Bears30300000323-2020200000316-131010000007-700.00035800835940480738744697141414320491616.25%9277.78%0694204333.97%911281932.32%420131631.91%12348182822604883353
12Houston Aeros404000001122-1120200000812-420200000310-700.0001122330083594041207387446971419352438511218.18%19478.95%0694204333.97%911281932.32%420131631.91%12348182822604883353
13Manchester Monarchs32100000121022200000010461010000026-440.667122335008359404111738744697141554710827114.29%4325.00%0694204333.97%911281932.32%420131631.91%12348182822604883353
14Milwaukee Admirals30300000112-112020000019-81010000003-300.00012300835940454738744697141015312521516.67%6350.00%0694204333.97%911281932.32%420131631.91%12348182822604883353
15Norfolk Admirals2010010059-41000010045-11010000014-310.25051015008359404827387446971473168441218.33%4175.00%0694204333.97%911281932.32%420131631.91%12348182822604883353
16Oklahoma City Barons30200100718-1120100100612-61010000016-510.1677142100835940458738744697141293628501119.09%12558.33%0694204333.97%911281932.32%420131631.91%12348182822604883353
17Peoria Rivermen30300000317-141010000024-220200000113-1200.000358008359404857387446971411645215315213.33%6266.67%0694204333.97%911281932.32%420131631.91%12348182822604883353
18Portland Pirates20101000911-21010000036-31000100065120.5009182700835940458738744697149935143011327.27%7357.14%0694204333.97%911281932.32%420131631.91%12348182822604883353
19Providence Bruins20200000212-101010000006-61010000026-400.000246008359404277387446971485332031700.00%10280.00%0694204333.97%911281932.32%420131631.91%12348182822604883353
20Rochester Americans30300000216-141010000026-420200000010-1000.000235008359404607387446971414340264916212.50%13284.62%0694204333.97%911281932.32%420131631.91%12348182822604883353
21Rockford IceHogs30300000319-161010000004-420200000315-1200.000369008359404537387446971413932314718211.11%13469.23%0694204333.97%911281932.32%420131631.91%12348182822604883353
22San Antonio Rampage41300000825-1721100000710-320200000115-1420.25081422008359404148738744697141995126871417.14%12558.33%0694204333.97%911281932.32%420131631.91%12348182822604883353
23Springfield Falcons30300000619-131010000016-520200000513-800.00061117008359404447387446971414040204417317.65%9277.78%0694204333.97%911281932.32%420131631.91%12348182822604883353
24St-John Ice Caps302000101015-520100010911-21010000014-320.333101828008359404807387446971411740323416425.00%16568.75%0694204333.97%911281932.32%420131631.91%12348182822604883353
25Syracuse Crunch20200000310-71010000013-21010000027-500.00036900835940428738744697147530222610110.00%11463.64%0694204333.97%911281932.32%420131631.91%12348182822604883353
26Texas Stars30200100413-920100100410-61010000003-310.1674812008359404597387446971412240213015213.33%7185.71%0694204333.97%911281932.32%420131631.91%12348182822604883353
27Toronto Marlies32000100151141000010056-122000000105550.8331528430083594041457387446971415847268512541.67%12283.33%0694204333.97%911281932.32%420131631.91%12348182822604883353
Total8286502610185431-2464152900610110215-105413360200075216-141280.1711853525370083594042191738744697143720115369614643755013.33%2928471.23%1694204333.97%911281932.32%420131631.91%12348182822604883353
29Wilkes-Barre Penguins20200000411-71010000024-21010000027-500.0004812008359404377387446971410828292415320.00%7357.14%0694204333.97%911281932.32%420131631.91%12348182822604883353
30Worchester Sharks30300000513-81010000026-42020000037-400.00058130083594044573874469714972427382514.00%10370.00%0694204333.97%911281932.32%420131631.91%12348182822604883353
_Since Last GM Reset8286502610185431-2464152900610110215-105413360200075216-141280.1711853525370083594042191738744697143720115369614643755013.33%2928471.23%1694204333.97%911281932.32%420131631.91%12348182822604883353
_Vs Conference455370030096236-140222170030055119-64233200000041117-76130.1449618327900835940412707387446971421096633738511952713.85%1604870.00%0694204333.97%911281932.32%420131631.91%12348182822604883353
_Vs Division1929001003298-661005001002450-2692400000848-4050.13232619300835940445173874469714788262160301901314.44%671971.64%0694204333.97%911281932.32%420131631.91%12348182822604883353

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8228L1185352537219137201153696146400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
828652610185431
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
415290610110215
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
41336200075216
Derniers 10 Matchs
WLOTWOTL SOWSOL
180100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3755013.33%2928471.23%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
738744697148359404
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
694204333.97%911281932.32%420131631.91%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12348182822604883353


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
4 - 2017-10-0413Milwaukee Admirals2Lake Erie Monsters1LSommaire du Match
5 - 2017-10-0533Manchester Monarchs1Lake Erie Monsters6WSommaire du Match
9 - 2017-10-0952Lake Erie Monsters4Grand Rapids Griffins6LSommaire du Match
11 - 2017-10-1164Houston Aeros6Lake Erie Monsters5LSommaire du Match
13 - 2017-10-1378Lake Erie Monsters0Rochester Americans5LSommaire du Match
15 - 2017-10-1595Charlotte Checkers2Lake Erie Monsters3WSommaire du Match
17 - 2017-10-17109Lake Erie Monsters4Toronto Marlies3WSommaire du Match
18 - 2017-10-18122Lake Erie Monsters5Chicago Wolves3WSommaire du Match
20 - 2017-10-20136Hamilton Bulldogs7Lake Erie Monsters1LSommaire du Match
22 - 2017-10-22158San Antonio Rampage4Lake Erie Monsters6WSommaire du Match
24 - 2017-10-24174Lake Erie Monsters3Springfield Falcons9LSommaire du Match
28 - 2017-10-28189St-John Ice Caps5Lake Erie Monsters2LSommaire du Match
30 - 2017-10-30209Lake Erie Monsters1Albany Devils4LSommaire du Match
31 - 2017-10-31217Abbotsford Heat7Lake Erie Monsters3LSommaire du Match
33 - 2017-11-02239Lake Erie Monsters1Houston Aeros6LSommaire du Match
34 - 2017-11-03248Peoria Rivermen4Lake Erie Monsters2LSommaire du Match
36 - 2017-11-05260Lake Erie Monsters2Manchester Monarchs6LSommaire du Match
39 - 2017-11-08277Bridgeport Sound Tigers5Lake Erie Monsters4LXSommaire du Match
40 - 2017-11-09296Lake Erie Monsters3Rockford IceHogs9LSommaire du Match
41 - 2017-11-10307San Antonio Rampage6Lake Erie Monsters1LSommaire du Match
44 - 2017-11-13333Providence Bruins6Lake Erie Monsters0LSommaire du Match
45 - 2017-11-14348Lake Erie Monsters0Hershey Bears7LSommaire du Match
47 - 2017-11-16362Chicago Wolves5Lake Erie Monsters1LSommaire du Match
50 - 2017-11-19380Lake Erie Monsters6Connecticut Whale5WXSommaire du Match
52 - 2017-11-21392St-John Ice Caps6Lake Erie Monsters7WXXSommaire du Match
53 - 2017-11-22408Lake Erie Monsters1Oklahoma City Barons6LSommaire du Match
56 - 2017-11-25421Lake Erie Monsters0Texas Stars3LSommaire du Match
57 - 2017-11-26428Binghampton Senateurs5Lake Erie Monsters2LSommaire du Match
60 - 2017-11-29455Albany Devils5Lake Erie Monsters2LSommaire du Match
62 - 2017-12-01476Lake Erie Monsters3Abbotsford Heat6LSommaire du Match
63 - 2017-12-02488Worchester Sharks6Lake Erie Monsters2LSommaire du Match
66 - 2017-12-05511Lake Erie Monsters1St-John Ice Caps4LSommaire du Match
67 - 2017-12-06515Manchester Monarchs3Lake Erie Monsters4WSommaire du Match
69 - 2017-12-08527Lake Erie Monsters1Albany Devils2LSommaire du Match
70 - 2017-12-09541Hamilton Bulldogs8Lake Erie Monsters2LSommaire du Match
74 - 2017-12-13565Lake Erie Monsters2Houston Aeros4LSommaire du Match
75 - 2017-12-14571Toronto Marlies6Lake Erie Monsters5LXSommaire du Match
81 - 2017-12-20603Wilkes-Barre Penguins4Lake Erie Monsters2LSommaire du Match
87 - 2017-12-26631Portland Pirates6Lake Erie Monsters3LSommaire du Match
89 - 2017-12-28650Lake Erie Monsters2Wilkes-Barre Penguins7LSommaire du Match
90 - 2017-12-29660Norfolk Admirals5Lake Erie Monsters4LXSommaire du Match
93 - 2018-01-01690Texas Stars5Lake Erie Monsters0LSommaire du Match
94 - 2018-01-02699Lake Erie Monsters6Portland Pirates5WXSommaire du Match
96 - 2018-01-04711Lake Erie Monsters1Hamilton Bulldogs5LSommaire du Match
97 - 2018-01-05721Milwaukee Admirals7Lake Erie Monsters0LSommaire du Match
100 - 2018-01-08737Lake Erie Monsters1Bridgeport Sound Tigers6LSommaire du Match
102 - 2018-01-10750Rockford IceHogs4Lake Erie Monsters0LSommaire du Match
103 - 2018-01-11764Lake Erie Monsters2Springfield Falcons4LSommaire du Match
105 - 2018-01-13780Springfield Falcons6Lake Erie Monsters1LSommaire du Match
106 - 2018-01-14795Lake Erie Monsters0Rockford IceHogs6LSommaire du Match
109 - 2018-01-17810Syracuse Crunch3Lake Erie Monsters1LSommaire du Match
111 - 2018-01-19819Lake Erie Monsters1Binghampton Senateurs8LSommaire du Match
112 - 2018-01-20838Lake Erie Monsters1Peoria Rivermen9LSommaire du Match
114 - 2018-01-22842Charlotte Checkers5Lake Erie Monsters3LSommaire du Match
116 - 2018-01-24863Lake Erie Monsters6Toronto Marlies2WSommaire du Match
117 - 2018-01-25873Abbotsford Heat5Lake Erie Monsters2LSommaire du Match
119 - 2018-01-27889Lake Erie Monsters0Milwaukee Admirals3LSommaire du Match
120 - 2018-01-28896Lake Erie Monsters0Adirondack Phantoms8LSommaire du Match
121 - 2018-01-29906Hershey Bears7Lake Erie Monsters2LSommaire du Match
123 - 2018-01-31932Rochester Americans6Lake Erie Monsters2LSommaire du Match
124 - 2018-02-01941Lake Erie Monsters0Rochester Americans5LSommaire du Match
127 - 2018-02-04958Lake Erie Monsters2Chicago Wolves5LSommaire du Match
129 - 2018-02-06966Grand Rapids Griffins7Lake Erie Monsters5LSommaire du Match
132 - 2018-02-09982Lake Erie Monsters2Syracuse Crunch7LSommaire du Match
133 - 2018-02-10996Hershey Bears9Lake Erie Monsters1LSommaire du Match
137 - 2018-02-141017Lake Erie Monsters0Peoria Rivermen4LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
139 - 2018-02-161022Lake Erie Monsters1Grand Rapids Griffins3LSommaire du Match
140 - 2018-02-171031Texas Stars5Lake Erie Monsters4LXSommaire du Match
142 - 2018-02-191050Lake Erie Monsters3Grand Rapids Griffins5LSommaire du Match
143 - 2018-02-201061Houston Aeros6Lake Erie Monsters3LSommaire du Match
145 - 2018-02-221079Lake Erie Monsters3Charlotte Checkers4LSommaire du Match
147 - 2018-02-241091Oklahoma City Barons6Lake Erie Monsters5LXSommaire du Match
149 - 2018-02-261109Lake Erie Monsters2Worchester Sharks3LSommaire du Match
150 - 2018-02-271117Lake Erie Monsters2Providence Bruins6LSommaire du Match
151 - 2018-02-281124Oklahoma City Barons6Lake Erie Monsters1LSommaire du Match
152 - 2018-03-011133Lake Erie Monsters1Norfolk Admirals4LSommaire du Match
154 - 2018-03-031147Lake Erie Monsters0San Antonio Rampage8LSommaire du Match
155 - 2018-03-041159Adirondack Phantoms6Lake Erie Monsters1LSommaire du Match
161 - 2018-03-101185Connecticut Whale5Lake Erie Monsters4LXSommaire du Match
162 - 2018-03-111195Lake Erie Monsters1Worchester Sharks4LSommaire du Match
166 - 2018-03-151209Connecticut Whale3Lake Erie Monsters7WSommaire du Match
167 - 2018-03-161220Lake Erie Monsters1San Antonio Rampage7LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
287,477$ 180,150$ 156,580$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 187,503$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 1,658$ 0$




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
128286502610185431-2464152900610110215-105413360200075216-141281853525370083594042191738744697143720115369614643755013.33%2928471.23%1694204333.97%911281932.32%420131631.91%12348182822604883353
Total Saison Régulière8286502610185431-2464152900610110215-105413360200075216-141281853525370083594042191738744697143720115369614643755013.33%2928471.23%1694204333.97%911281932.32%420131631.91%12348182822604883353