Caroline

DG: Olivier Pinho Morale : 48 Moyenne d'Équipe : 47
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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
1Jordan NolanXX100.00645077657654514550444658484947075530
2Rich CluneXX100.00684370707151374435533562484641071530
3Troy BodieX100.00545078618145354449444463474740076520
4Raffi TorresX100.00397248677433543335333371477061076500
5Christopher BourqueX100.00454545455245454545454545454238057460
6Kevin Stenlund (R)X100.00454545457245454545454545453230073460
7Yakov Trenin (R)XX100.00454545456645454545454545453230057460
8Beau Starrett (R)XX100.00434343436943434343434343433230074450
9Lukas Vejdemo (R)X100.00434343436743434343434343433230063440
10Adam Musil (R)X100.00404040407040404040404040403230069420
11Daniel Bernhardt (R)X100.00404040406640404040404040403230061420
12Anthony Richard (R)X100.00404040404540404040404040403230028410
13Jaedon Descheneau (R)X100.00373737375637373737373737373230024390
14Alex BiegaX100.00773585695860454135433970483532068570
15Robert BortuzzoX100.00796163617258494335394767484542071570
16Nikita NesterovX100.00683579696458494335414563483835038550
17Brandon Montour (R)X100.00454545455145454545454545453230070450
18Blake Siebenaler (R)X100.00434343436243434343434343433230070440
19Bruno GervaisX100.00373737376537373737373737375547049420
20Colten TeubertX100.00458832366433403335333333473532024390
21Carl SneepX100.00329030347033443335333333473532024380
Rayé
MOYENNE D'ÉQUIPE100.0049495149654443414041414944393605846
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
1Justin Peters100.0044458579454544464584824642061530
2Michael Leighton100.0047454568484545484565705248013500
Rayé
1Felix Sandstrom (R)100.0043434370434343434343433230020440
2Edward Pasquale (R)100.0040404080404040404040403230019430
MOYENNE D'ÉQUIPE100.004443537444434344435859413802848
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Anderson54797649959976CAN592500,000$


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
1Jordan NolanCaroline (Car)LW/RW75293867175601191082230013.00%17117315.6451217352230001472165.63%9600001.1412000372
2Robert BortuzzoCaroline (Car)D78204666-819325275106209009.57%118176322.601116271332820222228120.00%000000.7503113482
3Alex BiegaCaroline (Car)D64124254474011277126009.52%108137721.5271017682240112238200.00%000000.7801000222
4Nikita NesterovCaroline (Car)D4473340-198359161690010.14%4389020.234121644125000090000.00%000000.9002000121
5Brandon MontourCaroline (Car)D821114254902012034920011.96%79163019.889413612670110253200.00%000000.3100112113
6Rich CluneCaroline (Car)LW/RW8271724-126810122129109006.42%1882110.02022132000040049.15%11800000.5814001001
7Blake SiebenalerCaroline (Car)D8261521-31161013926520011.54%56129715.82369181020001111010.00%000000.3200001100
8Troy BodieCaroline (Car)RW8281119114102317550014.55%73574.35246824000074156.10%4100001.0601101311
9Yakov TreninCaroline (Car)C/LW698917111803644440018.18%14406.38112227000032053.97%51700000.7700000011
10Kevin StenlundCaroline (Car)C746915-1147156873600010.00%1277610.49000013000061051.14%83300000.3900210000
11Bruno GervaisCaroline (Car)D33224-526041360033.33%1853116.10101224000053110.00%000000.1500000000
12Christopher BourqueCaroline (Car)LW80314023510690033.33%31501.883035230000630044.12%3400000.5300010000
13Raffi TorresCaroline (Car)LW8222420091026007.69%11642.011017290003370045.71%3500000.4900000000
14Beau StarrettCaroline (Car)C/LW26011-140676000.00%01385.34000030001300042.74%12400000.1400000000
15Adam MusilCaroline (Car)C1000000000000.00%000.88000000000000100.00%100000.0000000000
16Colten TeubertCaroline (Car)D900023552803000.00%614115.7000004000015000.00%000000.0000001000
17Lukas VejdemoCaroline (Car)C10000100200000.00%0343.44000040000230033.33%1500000.0000000000
Stats d'équipe Total ou en Moyenne973121240361-17847105120170110890011.11%4871168812.014767114384141304410121715651.76%181400000.62213549152213
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
1Justin PetersCaroline (Car)2211510.8723.56109500655080200.75081842000
2Michael LeightonCaroline (Car)2671230.8903.85129441837550210.750122240100
Stats d'équipe Total ou en Moyenne48181740.8833.7223894114812630410.750204082100


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 Ballotage Forcé Contrat StatusType Salaire Actuel Salaire RestantSalaire 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
Adam MusilCaroline (Car)C181997-03-26Yes202 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm650,000$650,000$650,000$650,000$Lien
Alex BiegaCaroline (Car)D271988-04-04No187 Lbs5 ft10NoNo3Avec RestrictionPro & Farm600,000$600,000$600,000$Lien
Anthony RichardCaroline (Car)C181996-12-20Yes163 Lbs5 ft9NoNo4Contrat d'EntréePro & Farm925,000$925,000$925,000$925,000$Lien
Beau StarrettCaroline (Car)C/LW191995-11-01Yes197 Lbs6 ft4NoNo4Contrat d'EntréePro & Farm700,000$700,000$700,000$700,000$Lien
Blake SiebenalerCaroline (Car)D191996-02-27Yes192 Lbs6 ft0NoNo4Contrat d'EntréePro & Farm667,000$667,000$667,000$667,000$Lien
Brandon MontourCaroline (Car)D211994-04-11Yes172 Lbs5 ft11NoNo4Contrat d'EntréePro & Farm925,000$925,000$925,000$925,000$Lien
Bruno GervaisCaroline (Car)D311984-10-03No200 Lbs6 ft1NoNo3Sans RestrictionPro & Farm525,000$525,000$525,000$Lien
Carl SneepCaroline (Car)D271987-11-05No210 Lbs6 ft4NoNo5Avec RestrictionPro & Farm650,000$650,000$650,000$650,000$650,000$Lien
Christopher BourqueCaroline (Car)LW291986-01-29No178 Lbs5 ft8NoNo3Avec RestrictionPro & Farm825,000$825,000$825,000$Lien
Colten TeubertCaroline (Car)D251990-03-08No195 Lbs6 ft4NoNo2Avec RestrictionPro & Farm800,000$800,000$Lien
Daniel BernhardtCaroline (Car)RW191996-04-11Yes191 Lbs6 ft3NoNo4Contrat d'EntréePro & Farm650,000$650,000$650,000$650,000$Lien
Edward PasqualeCaroline (Car)G241990-11-20Yes210 Lbs6 ft3NoNo4Avec RestrictionPro & Farm650,000$650,000$650,000$650,000$Lien
Felix SandstromCaroline (Car)G181997-01-12Yes191 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm700,000$700,000$700,000$700,000$Lien
Jaedon DescheneauCaroline (Car)RW201995-02-22Yes186 Lbs5 ft8NoNo4Contrat d'EntréePro & Farm525,000$525,000$525,000$525,000$Lien
Jordan NolanCaroline (Car)LW/RW261989-06-23No219 Lbs6 ft3NoNo2Avec RestrictionPro & Farm600,000$600,000$Lien
Justin PetersCaroline (Car)G291986-08-30No210 Lbs6 ft1NoNo2Avec RestrictionPro & Farm800,000$800,000$Lien
Kevin StenlundCaroline (Car)C191996-09-20Yes205 Lbs6 ft3NoNo4Contrat d'EntréePro & Farm825,000$825,000$825,000$825,000$Lien
Lukas VejdemoCaroline (Car)C191996-01-25Yes194 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm700,000$700,000$700,000$700,000$Lien
Michael LeightonCaroline (Car)G341981-05-19No186 Lbs6 ft3YesNo3Sans RestrictionPro & Farm900,000$900,000$900,000$Lien
Nikita NesterovCaroline (Car)D221993-03-28No199 Lbs6 ft0NoNo3Avec RestrictionPro & Farm743,000$743,000$743,000$Lien
Raffi TorresCaroline (Car)LW331981-10-08No215 Lbs6 ft0YesNo3Sans RestrictionPro & Farm875,000$875,000$875,000$Lien
Rich CluneCaroline (Car)LW/RW281987-04-25No207 Lbs5 ft10NoNo2Avec RestrictionPro & Farm650,000$650,000$Lien
Robert BortuzzoCaroline (Car)D261989-03-18No215 Lbs6 ft4NoNo6Avec RestrictionPro & Farm975,000$975,000$975,000$975,000$975,000$975,000$Lien
Troy BodieCaroline (Car)RW301985-01-25No226 Lbs6 ft5NoNo2Sans RestrictionPro & Farm600,000$600,000$Lien
Yakov TreninCaroline (Car)C/LW181997-01-13Yes194 Lbs6 ft1NoNo4Contrat d'EntréePro & Farm743,000$743,000$743,000$743,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2523.96198 Lbs6 ft13.48728,120$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
3Rich CluneKevin Stenlund20122
4Yakov Trenin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Robert Bortuzzo40122
2Brandon Montour30122
3Blake Siebenaler20122
4Robert Bortuzzo10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Robert Bortuzzo60122
2Brandon Montour40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Robert Bortuzzo60122
2Brandon Montour40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Robert Bortuzzo60122
240122Brandon Montour40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Robert Bortuzzo60122
2Brandon Montour40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Robert Bortuzzo
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Robert Bortuzzo
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Troy Bodie, Raffi Torres, Christopher BourqueTroy Bodie, Raffi TorresChristopher Bourque
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Blake Siebenaler, , Brandon MontourBlake Siebenaler, Brandon Montour
Tirs de Pénalité
, , , ,
Gardien
#1 : , #2 : Michael Leighton


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
Admirals21100000880110000006511010000023-120.500813210012086801343838825894617116393510110.00%13284.62%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Falcons4000200214140200010018802000100166060.750142640001208680131238388258946111835568117211.76%16381.25%11410263853.45%1362250954.28%747143352.13%2010137419016261064532
Bruins3100011012111210001007701000001054150.833122032001208680139283882589461702342611218.33%20670.00%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Crunch330000001165220000007431100000042261.00011162700120868013104838825894618519474218527.78%16475.00%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Heat211000001091110000006421010000045-120.500101727001208680137483882589461762012587228.57%6350.00%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Phantoms523000001922-321100000990312000001013-340.400193453001208680131758388258946116242768636822.22%28678.57%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Baby Hawks21100000972110000005231010000045-120.500914230012086801361838825894615321244110330.00%11372.73%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Monsters20200000310-71010000015-41010000025-300.000347001208680135383882589461612222438112.50%11281.82%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Jayhawks2110000056-11010000004-41100000052320.500510150012086801360838825894617125223810330.00%11372.73%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Cougars320000011192210000018711100000032150.8331118290012086801385838825894617129475414321.43%16287.50%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Oil Kings20200000713-61010000015-41010000068-200.00071320001208680136083882589461692534618337.50%16850.00%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Sound Tigers513000011527-12311000011114-320200000413-930.300152944001208680131458388258946120259839929620.69%291162.07%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Monarchs2020000028-61010000024-21010000004-400.0002240012086801339838825894615592549300.00%10370.00%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Minnesota21000010853110000005321000001032141.000812200012086801366838825894616016164011218.18%8187.50%11410263853.45%1362250954.28%747143352.13%2010137419016261064532
Spiders412010002023-3210010001210220200000813-540.500203353001208680131348388258946112346648021523.81%20385.00%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Senators330000001376110000004222200000095461.00013243700120868013126838825894618223336712541.67%9188.89%11410263853.45%1362250954.28%747143352.13%2010137419016261064532
Manchots4200002016106210000109542100001075281.00016264201120868013126838825894618825618624416.67%23578.26%11410263853.45%1362250954.28%747143352.13%2010137419016261064532
Wolf Pack431000002017322000000117421100000910-160.7502035550012086801316683882589461125384310623730.43%19668.42%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Sharks2010010036-31000010023-11010000013-210.25034700120868013468388258946163254345500.00%19194.74%11410263853.45%1362250954.28%747143352.13%2010137419016261064532
Chiefs2020000049-51010000023-11010000026-400.00044800120868013428388258946158253042200.00%14657.14%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Thunder302000011115-41010000035-220100001810-210.16711172800120868013118838825894618921627720315.00%17476.47%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Marlies33000000945220000006331100000031261.0009172600120868013114838825894616429265121523.81%13284.62%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Comets22000000743110000003211100000042241.00071421001208680133683882589461381931456116.67%12283.33%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Cabaret Lady Mary Ann31200000131301100000053220200000810-220.333132336001208680131188388258946112434546915426.67%19384.21%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
IceCaps20100100512-71000010023-11010000039-610.2505813001208680135483882589461511449241100.00%11372.73%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Chill20200000710-31010000034-11010000046-200.00071320101208680135983882589461933626407228.57%13469.23%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Rocket33000000161241100000043122000000129361.00016274300120868013898388258946110628406819526.32%15286.67%11410263853.45%1362250954.28%747143352.13%2010137419016261064532
Bears41300000813-52020000026-42110000067-120.250813210012086801394838825894619834508513215.38%25484.00%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Las Vegas21000100752110000005231000010023-130.750712190012086801382838825894616715105713323.08%50100.00%01410263853.45%1362250954.28%747143352.13%2010137419016261064532
Vs Conference33191100111120112817124000015850816770011062620420.6361202013210012086801310448388258946110033274157091624024.69%1734176.30%21410263853.45%1362250954.28%747143352.13%2010137419016261064532
Since Last GM Reset82343203445293315-2241211102313149142741132101132144173-29910.555293498791111208680132584838825894612493773116717304058621.23%44510376.85%61410263853.45%1362250954.28%747143352.13%2010137419016261064532
Total82343203445293315-2241211102313149142741132101132144173-29910.555293498791111208680132584838825894612493773116717304058621.23%44510376.85%61410263853.45%1362250954.28%747143352.13%2010137419016261064532

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8291L2293498791258424937731167173011
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8234323445293315
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4121112313149142
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4113211132144173
Derniers 10 Matchs
WLOTWOTL SOWSOL
240013
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4058621.23%44510376.85%6
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
83882589461120868013
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
1410263853.45%1362250954.28%747143352.13%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2010137419016261064532


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 - 2016-10-138Caroline3IceCaps9LSommaire du Match
5 - 2016-10-1632Caroline4Comets2WSommaire du Match
7 - 2016-10-1848Caroline6Oil Kings8LSommaire du Match
9 - 2016-10-2059Caroline4Heat5LSommaire du Match
11 - 2016-10-2267Caroline4Phantoms2WSommaire du Match
14 - 2016-10-2588Caroline3Cougars2WSommaire du Match
17 - 2016-10-28108Wolf Pack3Caroline4WSommaire du Match
19 - 2016-10-30125Phantoms5Caroline4LSommaire du Match
21 - 2016-11-01131Caroline4Senators2WSommaire du Match
25 - 2016-11-05170Caroline2Las Vegas3LXSommaire du Match
26 - 2016-11-06176Spiders3Caroline4WSommaire du Match
28 - 2016-11-08183Caroline2Spiders6LSommaire du Match
30 - 2016-11-10205Admirals5Caroline6WSommaire du Match
32 - 2016-11-12222Bears4Caroline1LSommaire du Match
35 - 2016-11-15235Sharks3Caroline2LXSommaire du Match
38 - 2016-11-18258Rocket3Caroline4WSommaire du Match
40 - 2016-11-20273IceCaps3Caroline2LXSommaire du Match
42 - 2016-11-22286Caroline3Marlies1WSommaire du Match
44 - 2016-11-24300Caroline6Rocket4WSommaire du Match
46 - 2016-11-26314Caroline5Senators3WSommaire du Match
47 - 2016-11-27327Cabaret Lady Mary Ann3Caroline5WSommaire du Match
49 - 2016-11-29330Caroline3Wolf Pack6LSommaire du Match
51 - 2016-12-01345Caroline5Bruins4WXXSommaire du Match
53 - 2016-12-03367Caroline6Wolf Pack4WSommaire du Match
54 - 2016-12-04371Thunder5Caroline3LSommaire du Match
57 - 2016-12-07393Caroline2Admirals3LSommaire du Match
58 - 2016-12-08404Caroline0Monarchs4LSommaire du Match
60 - 2016-12-10416Caroline1Sharks3LSommaire du Match
63 - 2016-12-13440Comets2Caroline3WSommaire du Match
66 - 2016-12-16455Bears2Caroline1LSommaire du Match
67 - 2016-12-17466Crunch2Caroline3WSommaire du Match
69 - 2016-12-19477Cougars1Caroline3WSommaire du Match
72 - 2016-12-22495Caroline4Crunch2WSommaire du Match
73 - 2016-12-23515Bruins3Caroline4WSommaire du Match
78 - 2016-12-28528Caroline6Manchots5WXXSommaire du Match
80 - 2016-12-30544Baby Hawks2Caroline5WSommaire du Match
81 - 2016-12-31555Caroline4Thunder5LXXSommaire du Match
84 - 2017-01-03567Spiders7Caroline8WXSommaire du Match
86 - 2017-01-05581Caroline2Chiefs6LSommaire du Match
87 - 2017-01-06587Caroline4Baby Hawks5LSommaire du Match
89 - 2017-01-08604Bruins4Caroline3LXSommaire du Match
91 - 2017-01-10613Falcons4Caroline5WXSommaire du Match
94 - 2017-01-13637Crunch2Caroline4WSommaire du Match
95 - 2017-01-14646Sound Tigers2Caroline5WSommaire du Match
98 - 2017-01-17664Caroline3Falcons2WXSommaire du Match
101 - 2017-01-20687Manchots1Caroline4WSommaire du Match
102 - 2017-01-21691Caroline3Falcons4LXXSommaire du Match
104 - 2017-01-23712Caroline5Bears3WSommaire du Match
107 - 2017-01-26729Monarchs4Caroline2LSommaire du Match
112 - 2017-01-31749Phantoms4Caroline5WSommaire du Match
115 - 2017-02-03766Oil Kings5Caroline1LSommaire du Match
116 - 2017-02-04777Caroline1Sound Tigers4LSommaire du Match
119 - 2017-02-07793Caroline1Bears4LSommaire du Match
123 - 2017-02-11819Caroline5Jayhawks2WSommaire du Match
129 - 2017-02-17856Monsters5Caroline1LSommaire du Match
131 - 2017-02-19872Marlies1Caroline3WSommaire du Match
133 - 2017-02-21884Manchots4Caroline5WXXSommaire du Match
136 - 2017-02-24902Senators2Caroline4WSommaire du Match
138 - 2017-02-26913Heat4Caroline6WSommaire du Match
140 - 2017-02-28930Caroline5Cabaret Lady Mary Ann6LSommaire du Match
141 - 2017-03-01934Caroline4Thunder5LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2017-03-03949Chill4Caroline3LSommaire du Match
145 - 2017-03-05968Caroline4Chill6LSommaire du Match
147 - 2017-03-07978Caroline2Monsters5LSommaire du Match
149 - 2017-03-09991Wolf Pack4Caroline7WSommaire du Match
151 - 2017-03-111006Marlies2Caroline3WSommaire du Match
153 - 2017-03-131016Caroline3Sound Tigers9LSommaire du Match
154 - 2017-03-141031Sound Tigers7Caroline2LSommaire du Match
156 - 2017-03-161042Minnesota3Caroline5WSommaire du Match
158 - 2017-03-181058Las Vegas2Caroline5WSommaire du Match
159 - 2017-03-191069Caroline3Phantoms7LSommaire du Match
161 - 2017-03-211081Caroline3Cabaret Lady Mary Ann4LSommaire du Match
163 - 2017-03-231092Caroline6Rocket5WSommaire du Match
165 - 2017-03-251109Caroline6Spiders7LSommaire du Match
168 - 2017-03-281129Cougars6Caroline5LXXSommaire du Match
170 - 2017-03-301148Falcons4Caroline3LXXSommaire du Match
172 - 2017-04-011162Jayhawks4Caroline0LSommaire du Match
173 - 2017-04-021167Caroline1Manchots0WSommaire du Match
175 - 2017-04-041181Caroline3Minnesota2WXXSommaire du Match
177 - 2017-04-061199Sound Tigers5Caroline4LXXSommaire du Match
179 - 2017-04-081214Chiefs3Caroline2LSommaire du Match
180 - 2017-04-091225Caroline3Phantoms4LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3212
Assistance6115830708
Assistance PCT74.58%74.90%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2241 - 74.69% 56,721$2,325,552$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,820,300$ 1,820,300$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
2,815,646$ 10,057$ 2,312,895$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 12,819$ 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
Saison Régulière
201682343203445293315-2241211102313149142741132101132144173-2968293498791111208680132584838825894612493773116717304058621.23%44510376.85%61410263853.45%1362250954.28%747143352.13%2010137419016261064532
Total Saison Régulière82343203445293315-2241211102313149142741132101132144173-2968293498791111208680132584838825894612493773116717304058621.23%44510376.85%61410263853.45%1362250954.28%747143352.13%2010137419016261064532