Manchots

GP: 82 | W: 38 | L: 39 | OTL: 5 | P: 81
GF: 309 | GA: 330 | PP%: 20.14% | PK%: 80.34%
DG: Raphael Belanger | Morale : 50 | Moyenne d'Équipe : 55
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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 SPÂgeContratSalaire Moyen
1Paul CareyXX100.00777181807475815870576466624748050630314875,000$
2Reid BoucherXX100.007267816369727267486670686957570506302631,000,000$
3Mikkel BoedkerXX100.006843988576586361316358666175770506302912,600,000$
4Rocco GrimaldiXX100.006243938061638261337063657560610506302631,000,000$
5Joel L'EsperanceXX100.007775817775798462785367656445450506302442,240,000$
6Stefan NoesenXX100.00854678747561696635566666255859050620261800,000$
7Joel Kellman (R)X100.00734395776959685874615974254646050610251625,000$
8Mikhail VorobyevX100.00594190717256785585605766254747050590221650,000$
9Tyler SteenbergenXXX100.00736689686673775771575362504444050580212770,833$
10Gabriel GagneX100.00777389647364626252535667585050050580221825,000$
11C.J. Suess (R)X100.00736983606961625850516162584444050560254700,000$
12Ivan Chekhovich (R)X100.00756695616669745050494761454444050540204776,667$
13Carson SoucyX100.00805486647969785525464975255960050640254995,001$
14Dante Fabbro (R)X100.00714283866877706325484970255151050640212895,000$
15John GilmourX100.007868927471737553254251644847470506102641,251,000$
16Pierre-Olivier Joseph (R)X100.00696382656369745025444158394444050560204863,335$
17Jacob Bryson (R)X100.00686283696265695225494158394444050560214889,167$
Rayé
1Graham KnottXX100.00757383507358554758404461425050050510221825,000$
2Christian ThomasX100.00434382695140284135423860444138050460271675,000$
3Emil Pettersson (R)X100.00333737375433333337333337353230050350252742,500$
4Ian Mitchell (R)X100.00474086696261765125504248445454050540204925,000$
5Joe Morrow (R)X100.007171725171515248253941593944440505202611,200,000$
6Clayton Phillips (R)X100.00514479656451673925373346355454050500204575,000$
7Trevor MurphyX100.00473593695444313335323566463532050480242690,000$
MOYENNE D'ÉQUIPE100.0067568468676266534350516245494905057
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
1Tomas Vomacka (R)100.0047736764404841454043435454050490
2Cam Johnson (R)100.0042454476424141414141393230050440
Rayé
1Sami Aittokallio100.0044454263403537353333333734050400
MOYENNE D'ÉQUIPE100.004454516841414040383938413905044
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Joel L'EsperanceManchots (Pit)C/RW795460114-4712516926550814436110.63%33193724.539162587228000102034559.34%236600121.1818122966
2Paul CareyManchots (Pit)C/LW723557921263151252393791092929.23%35162922.63712196319000091633056.78%199200011.13261011072
3Stefan NoesenManchots (Pit)LW/RW8040529206752151514471383188.95%29162820.35710178222600031102248.95%14300011.1327000747
4Gabriel GagneManchots (Pit)RW80184361-124525146124308882375.84%21144018.01099581820001111037.07%11600000.8500113232
5Joel KellmanManchots (Pit)C62243559-108048212281621688.54%33117318.9241014421410003654059.15%148100011.0100000430
6Mikhail VorobyevManchots (Pit)C82223658-1410025201254671718.66%25110613.5012311220001361162.94%120600011.0500000511
7Tyler SteenbergenManchots (Pit)C/LW/RW80292958-11140941062656319510.94%22149218.65971646209000075051.28%11700000.7800000323
8Carson SoucyManchots (Pit)D82203353-276801921111927913010.42%130185822.66910198023600001703042.31%2600100.5700000021
9C.J. SuessManchots (Pit)LW80242246-15335117106263831979.13%21111113.900004100002263351.43%7000010.8300001112
10Dante FabbroManchots (Pit)D4783644-42606163145491045.52%89116224.7441115741390000122100.00%000000.7600000013
11John GilmourManchots (Pit)D8293342-2659515665147461166.12%103175821.45358592280001165100.00%000000.4800000011
12Jacob BrysonManchots (Pit)D8043337-3320140719427624.26%110163820.4821012422110001155000.00%000000.4500000111
13Ivan ChekhovichManchots (Pit)LW80161935-223007585137479411.68%19110113.77011517000082252.05%7300000.6400000012
14Rocco GrimaldiManchots (Pit)C/RW40132235-1404097179541237.26%1379019.7735835921015894035.38%70100000.8900000131
15Ian MitchellManchots (Pit)D7332124-514026353618218.33%54111415.27101230000031100.00%000000.4300000000
16Mikkel BoedkerManchots (Pit)LW/RW3161723-44014717920607.59%1261319.802359850003612029.27%8200000.7511000003
17Pierre-Olivier JosephManchots (Pit)D5821214142004512327176.25%4363711.000118580000500050.00%200000.4400000000
18Joe MorrowManchots (Pit)D622810-6360152253114356.45%8392114.8700007000155000.00%000000.2200000012
19Reid BoucherManchots (Pit)LW/RW5426020481731023.53%010521.06101290000110044.44%1800011.1400000100
20Graham KnottManchots (Pit)C/LW57033-12602952279200.00%33646.40000020003840052.75%36400000.1600000000
21Trevor MurphyManchots (Pit)D5022300030120.00%3265.350000200004000.00%000001.5000000000
22Clayton PhillipsManchots (Pit)D31000040915020.00%102377.6600022000027000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1348333575908-14761680188221033826112827358.70%8912385317.70621121747112335101431664371355.97%875700280.76622337443737
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
1Tomas VomackaManchots (Pit)69323120.8894.0737442025422970220.867156713231
2Cam JohnsonManchots (Pit)225730.9103.45109720636980100.66761367200
Stats d'équipe Total ou en Moyenne91373850.8943.9348424031729950320.810218080431


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 Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
C.J. SuessManchots (Pit)LW251994-03-17Yes190 Lbs5 ft11NoNoNo4Pro & Farm700,000$70,000$0$No700,000$700,000$700,000$
Cam JohnsonManchots (Pit)G251994-07-11Yes205 Lbs6 ft1NoNoNo2Pro & Farm825,000$82,500$0$No825,000$Lien
Carson SoucyManchots (Pit)D251994-07-27No208 Lbs6 ft5YesNoNo4Pro & Farm995,001$99,500$0$No995,001$995,001$995,001$Lien
Christian ThomasManchots (Pit)RW271992-05-26No175 Lbs5 ft9NoNoNo1Pro & Farm675,000$67,500$0$NoLien
Clayton PhillipsManchots (Pit)D201999-09-09Yes182 Lbs5 ft10YesNoNo4Pro & Farm575,000$57,500$0$No575,000$575,000$575,000$Lien
Dante FabbroManchots (Pit)D211998-06-20Yes189 Lbs6 ft0NoNoNo2Pro & Farm895,000$89,500$0$No895,000$Lien
Emil PetterssonManchots (Pit)C251994-01-14Yes176 Lbs6 ft1NoNoNo2Pro & Farm742,500$74,250$0$No742,500$Lien
Gabriel GagneManchots (Pit)RW221996-11-11No186 Lbs6 ft5NoNoNo1Pro & Farm825,000$82,500$0$NoLien
Graham KnottManchots (Pit)C/LW221997-01-13No191 Lbs6 ft3NoNoNo1Pro & Farm825,000$82,500$0$NoLien
Ian MitchellManchots (Pit)D201999-01-18Yes174 Lbs5 ft11NoNoNo4Pro & Farm925,000$92,500$0$No925,000$925,000$925,000$Lien
Ivan ChekhovichManchots (Pit)LW201999-01-04Yes185 Lbs5 ft10NoNoNo4Pro & Farm776,667$77,667$0$No776,667$776,667$776,667$Lien
Jacob BrysonManchots (Pit)D211997-11-18Yes179 Lbs5 ft9NoNoNo4Pro & Farm889,167$88,917$0$No889,167$889,167$889,167$Lien
Joe MorrowManchots (Pit)D261992-12-09Yes196 Lbs6 ft0NoNoNo1Pro & Farm1,200,000$120,000$0$NoLien
Joel KellmanManchots (Pit)C251994-05-25Yes192 Lbs5 ft11YesNoNo1Pro & Farm625,000$62,500$0$NoLien
Joel L'EsperanceManchots (Pit)C/RW241995-08-18No201 Lbs6 ft2NoNoNo4Pro & Farm800,000$224,000$0$No800,000$800,000$800,000$Lien
John GilmourManchots (Pit)D261993-05-17No195 Lbs6 ft0YesNoNo4Pro & Farm1,251,000$125,100$0$No1,251,000$1,251,000$1,251,000$Lien
Mikhail VorobyevManchots (Pit)C221997-01-04No194 Lbs6 ft2NoNoNo1Pro & Farm650,000$65,000$0$NoLien
Mikkel BoedkerManchots (Pit)LW/RW291989-12-15No210 Lbs6 ft0NoNoNo1Pro & Farm2,600,000$260,000$0$NoLien
Paul CareyManchots (Pit)C/LW311988-09-24No200 Lbs6 ft1NoNoNo4Pro & Farm875,000$87,500$0$No875,000$875,000$875,000$Lien
Pierre-Olivier JosephManchots (Pit)D201999-07-01Yes161 Lbs6 ft2NoNoNo4Pro & Farm863,335$86,334$0$No863,335$863,335$863,335$Lien
Reid BoucherManchots (Pit)LW/RW261993-09-08No195 Lbs5 ft10NoNoNo3Pro & Farm1,000,000$1,000,000$0$No1,000,000$1,000,000$Lien
Rocco GrimaldiManchots (Pit)C/RW261993-02-08No180 Lbs5 ft6NoNoNo3Pro & Farm1,000,000$100,000$0$No1,000,000$1,000,000$Lien
Sami AittokallioManchots (Pit)G271992-08-06No174 Lbs6 ft1NoNoNo1Pro & Farm555,555$55,556$0$NoLien
Stefan NoesenManchots (Pit)LW/RW261993-02-12No205 Lbs6 ft1NoNoNo1Pro & Farm800,000$80,000$0$NoLien
Tomas VomackaManchots (Pit)G201999-05-02Yes165 Lbs6 ft3NoNoNo4Pro & Farm525,000$52,500$0$No525,000$525,000$525,000$Lien
Trevor MurphyManchots (Pit)D241995-07-17No180 Lbs5 ft10NoNoNo2Pro & Farm690,000$69,000$0$No690,000$Lien
Tyler SteenbergenManchots (Pit)C/LW/RW211998-01-07No187 Lbs5 ft10NoNoNo2Pro & Farm770,833$77,083$0$No770,833$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2723.93188 Lbs6 ft02.56883,484$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mikkel BoedkerJoel L'EsperanceStefan Noesen40122
2Tyler SteenbergenPaul CareyGabriel Gagne30122
3C.J. SuessJoel KellmanMikhail Vorobyev20122
4Ivan ChekhovichMikhail VorobyevRocco Grimaldi10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carson SoucyJohn Gilmour40122
2Jacob BrysonPierre-Olivier Joseph30122
320122
4Carson SoucyJohn Gilmour10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mikkel BoedkerJoel L'EsperanceStefan Noesen60122
2Tyler SteenbergenPaul CareyGabriel Gagne40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carson SoucyJohn Gilmour60122
2Jacob BrysonPierre-Olivier Joseph40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Joel L'EsperanceMikkel Boedker60122
2Paul CareyStefan Noesen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carson SoucyJohn Gilmour60122
2Jacob BrysonPierre-Olivier Joseph40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Joel L'Esperance60122Carson SoucyJohn Gilmour60122
2Mikkel Boedker40122Jacob BrysonPierre-Olivier Joseph40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Joel L'EsperanceMikkel Boedker60122
2Paul CareyStefan Noesen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carson SoucyJohn Gilmour60122
2Jacob BrysonPierre-Olivier Joseph40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mikkel BoedkerJoel L'EsperanceStefan NoesenCarson SoucyJohn Gilmour
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mikkel BoedkerJoel L'EsperanceStefan NoesenCarson SoucyJohn Gilmour
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joel Kellman, C.J. Suess, Ivan ChekhovichJoel Kellman, C.J. SuessIvan Chekhovich
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Jacob Bryson, Jacob Bryson
Tirs de Pénalité
Joel L'Esperance, Mikkel Boedker, Paul Carey, Stefan Noesen, Joel Kellman
Gardien
#1 : Tomas Vomacka, #2 : Cam Johnson


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
1Admirals2010010069-31010000046-21000010023-110.2506111700124978010741154114311635359148393133.33%40100.00%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
2Baby Hawks21100000710-3110000005411010000026-420.5007132000124978010861154114311635384288441100.00%4175.00%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
3Bears403000011218-620200000711-42010000157-210.12512233500124978010185115411431163531784918922015.00%9277.78%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
4Bruins32001000141041000100043122000000107361.000142539001249780101361154114311635311029387311327.27%12191.67%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
5Cabaret Lady Mary Ann321000001512311000000514211000001011-140.66715264110124978010203115411431163531133829635240.00%8187.50%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
6Caroline422000001617-12200000012932020000048-440.5001626420012497801016611541143116353138522210113323.08%10190.00%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
7Chiefs2110000068-21010000025-31100000043120.50061016001249780107411541143116353682015427114.29%5260.00%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
8Chill20200000511-61010000036-31010000025-300.000510150012497801090115411431163537618123914214.29%5340.00%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
9Comets21100000651110000004221010000023-120.50061016001249780107711541143116353821610324125.00%5180.00%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
10Cougars31200000810-2110000005232020000038-520.33381220001249780101311154114311635311032206811218.18%9188.89%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
11Crunch312000001213-12110000010911010000024-220.3331219310012497801012911541143116353120381868300.00%8187.50%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
12Heat220000001266110000008351100000043141.000122234001249780109211541143116353751516526233.33%8187.50%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
13Jayhawks20200000213-111010000028-61010000005-500.00023500124978010761154114311635394241652300.00%7442.86%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
14Las Vegas200010101082100010006511000001043141.0001011210012497801081115411431163536316204610330.00%10190.00%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
15Marlies321000001192211000008801100000031240.66711182900124978010111115411431163531093487211327.27%40100.00%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
16Minnesota220000001385110000006331100000075241.000132336001249780101501154114311635394238519222.22%4175.00%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
17Monarchs2110000069-3110000005411010000015-420.50061117001249780107611541143116353873318496116.67%9188.89%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
18Monsters403001001016-62020000048-42010010068-210.12510182800124978010143115411431163531794347989111.11%15660.00%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
19Monsters2110000078-1110000005411010000024-220.5007132000124978010861154114311635366229329111.11%20100.00%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
20Oceanics20000002810-21000000145-11000000145-120.5008142200124978010105115411431163538719183911218.18%7185.71%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
21Oil Kings210010001183110000006421000100054141.000112132001249780107111541143116353701812363266.67%5180.00%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
22Phantoms4310000016142220000008622110000088060.750163046001249780101461154114311635312745397718422.22%11281.82%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
23Rocket303000001016-620200000610-41010000046-200.000101727101249780101001154114311635311732266110330.00%13284.62%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
24Senators31200000811-32110000067-11010000024-220.3338132100124978010941154114311635312632216210110.00%8187.50%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
25Sharks220000001055110000005231100000053241.000101828001249780108211541143116353581810417228.57%50100.00%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
26Sound Tigers41100020141222010001067-12100001085360.750142034001249780101571154114311635315142258712216.67%10190.00%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
27Spiders404000001323-1020200000614-82020000079-200.000132538001249780101541154114311635316346347715320.00%15660.00%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
28Stars201000107701010000034-11000001043120.50071017001249780108411541143116353742984810220.00%4250.00%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
29Thunder30200010910-11010000034-12010001066020.3339152400124978010117115411431163531003021667228.57%8187.50%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
Total82303903253309330-2141181902011169172-341122001242140158-18810.49430953184020124978010348911541143116353308588157517912785620.14%2344680.34%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
30Wolf Pack4310000025141121100000118322000000146860.750254469001249780102131154114311635310726218410440.00%10190.00%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
_Since Last GM Reset82303903253309330-2141181902011169172-341122001242140158-18810.49430953184020124978010348911541143116353308588157517912785620.14%2344680.34%01820316757.47%1422266353.40%752139254.02%2034142418715931064535
_Vs Conference46152201233167181-1423713010118499-1523890022283821430.4671672954620012497801018831154114311635317174783389951643219.51%1322680.30%01820316757.47%1422266353.40%752139254.02%2034142418715931064535

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8281L130953184034893085881575179120
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8230393253309330
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4118192011169172
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4112201242140158
Derniers 10 Matchs
WLOTWOTL SOWSOL
370000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2785620.14%2344680.34%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
11541143116353124978010
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
1820316757.47%1422266353.40%752139254.02%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2034142418715931064535


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 - 2020-10-237Crunch4Manchots6WSommaire du Match
4 - 2020-10-2522Monsters4Manchots3LSommaire du Match
7 - 2020-10-2838Oceanics5Manchots4LXXSommaire du Match
9 - 2020-10-3050Admirals6Manchots4LSommaire du Match
11 - 2020-11-0171Manchots7Minnesota5WSommaire du Match
12 - 2020-11-0275Manchots4Oceanics5LXXSommaire du Match
15 - 2020-11-0592Monsters4Manchots5WSommaire du Match
17 - 2020-11-07108Stars4Manchots3LSommaire du Match
18 - 2020-11-08119Las Vegas5Manchots6WXSommaire du Match
21 - 2020-11-11135Manchots7Cabaret Lady Mary Ann6WSommaire du Match
22 - 2020-11-12144Manchots4Thunder3WXXSommaire du Match
25 - 2020-11-15166Manchots4Stars3WXXSommaire du Match
28 - 2020-11-18182Phantoms4Manchots5WSommaire du Match
32 - 2020-11-22204Oil Kings4Manchots6WSommaire du Match
34 - 2020-11-24220Manchots4Bruins2WSommaire du Match
37 - 2020-11-27239Manchots4Sound Tigers3WXXSommaire du Match
39 - 2020-11-29257Baby Hawks4Manchots5WSommaire du Match
42 - 2020-12-02274Manchots7Wolf Pack5WSommaire du Match
45 - 2020-12-05295Manchots3Spiders4LSommaire du Match
46 - 2020-12-06308Marlies1Manchots4WSommaire du Match
49 - 2020-12-09321Sound Tigers4Manchots2LSommaire du Match
51 - 2020-12-11335Manchots4Sound Tigers2WSommaire du Match
52 - 2020-12-12346Spiders7Manchots4LSommaire du Match
55 - 2020-12-15368Heat3Manchots8WSommaire du Match
57 - 2020-12-17382Comets2Manchots4WSommaire du Match
59 - 2020-12-19400Manchots3Monsters4LSommaire du Match
60 - 2020-12-20412Manchots4Chiefs3WSommaire du Match
64 - 2020-12-24435Chiefs5Manchots2LSommaire du Match
66 - 2020-12-26449Jayhawks8Manchots2LSommaire du Match
67 - 2020-12-27456Manchots0Cougars4LSommaire du Match
70 - 2020-12-30474Rocket5Manchots3LSommaire du Match
72 - 2021-01-01490Monsters4Manchots1LSommaire du Match
74 - 2021-01-03511Monarchs4Manchots5WSommaire du Match
77 - 2021-01-06531Manchots4Heat3WSommaire du Match
80 - 2021-01-09551Manchots5Oil Kings4WXSommaire du Match
81 - 2021-01-10563Manchots2Comets3LSommaire du Match
87 - 2021-01-16587Manchots2Chill5LSommaire du Match
88 - 2021-01-17597Chill6Manchots3LSommaire du Match
90 - 2021-01-19612Senators6Manchots3LSommaire du Match
93 - 2021-01-22631Sharks2Manchots5WSommaire du Match
95 - 2021-01-24647Manchots4Rocket6LSommaire du Match
96 - 2021-01-25654Cabaret Lady Mary Ann1Manchots5WSommaire du Match
98 - 2021-01-27673Manchots4Las Vegas3WXXSommaire du Match
101 - 2021-01-30691Manchots2Monsters4LSommaire du Match
103 - 2021-02-01706Manchots0Jayhawks5LSommaire du Match
105 - 2021-02-03718Minnesota3Manchots6WSommaire du Match
107 - 2021-02-05727Manchots6Bruins5WSommaire du Match
108 - 2021-02-06740Manchots3Cougars4LSommaire du Match
110 - 2021-02-08755Bruins3Manchots4WXSommaire du Match
112 - 2021-02-10763Manchots5Phantoms4WSommaire du Match
122 - 2021-02-20786Phantoms2Manchots3WSommaire du Match
124 - 2021-02-22806Manchots1Bears2LSommaire du Match
128 - 2021-02-26829Manchots2Thunder3LSommaire du Match
130 - 2021-02-28848Manchots3Cabaret Lady Mary Ann5LSommaire du Match
133 - 2021-03-03870Thunder4Manchots3LSommaire du Match
136 - 2021-03-06892Rocket5Manchots3LSommaire du Match
138 - 2021-03-08906Cougars2Manchots5WSommaire du Match
140 - 2021-03-10921Marlies7Manchots4LSommaire du Match
142 - 2021-03-12933Manchots3Marlies1WSommaire du Match
144 - 2021-03-14950Crunch5Manchots4LSommaire du Match
145 - 2021-03-15959Manchots4Bears5LXXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
148 - 2021-03-18983Manchots1Monarchs5LSommaire du Match
150 - 2021-03-20998Manchots2Admirals3LXSommaire du Match
151 - 2021-03-211010Manchots5Sharks3WSommaire du Match
154 - 2021-03-241022Senators1Manchots3WSommaire du Match
156 - 2021-03-261033Manchots2Crunch4LSommaire du Match
158 - 2021-03-281050Bears6Manchots4LSommaire du Match
159 - 2021-03-291059Caroline5Manchots6WSommaire du Match
161 - 2021-03-311072Manchots4Spiders5LSommaire du Match
163 - 2021-04-021088Manchots3Monsters4LXSommaire du Match
165 - 2021-04-041104Manchots2Caroline4LSommaire du Match
166 - 2021-04-051115Sound Tigers3Manchots4WXXSommaire du Match
169 - 2021-04-081133Manchots7Wolf Pack1WSommaire du Match
171 - 2021-04-101146Wolf Pack6Manchots5LSommaire du Match
173 - 2021-04-121164Bears5Manchots3LSommaire du Match
175 - 2021-04-141180Caroline4Manchots6WSommaire du Match
176 - 2021-04-151186Manchots2Baby Hawks6LSommaire du Match
179 - 2021-04-181205Manchots2Caroline4LSommaire du Match
180 - 2021-04-191216Manchots3Phantoms4LSommaire du Match
182 - 2021-04-211230Spiders7Manchots2LSommaire du Match
184 - 2021-04-231247Wolf Pack2Manchots6WSommaire du Match
186 - 2021-04-251263Manchots2Senators4LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna17501250
Prix des Billets5020
Assistance43,43234,692
Assistance PCT60.53%67.69%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 1905 - 63.52% 69,799$2,861,750$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,206,189$ 3,285,406$ 3,429,406$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
18,438$ 2,349,392$ 27 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 17,663$ 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