Admirals

GP: 7 | W: 4 | L: 3 | OTL: 0 | P: 8
GF: 16 | GA: 14 | PP%: 13.64% | PK%: 90.70%
DG: Louis-Philippe Fraser | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #85 vs Rampage
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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
1Brock McGinnXX100.00775391766964925937625980756667675000
2Chris WagnerXXX100.00947680777362895955565982636667674700
3Dmitry SokolovXX100.00837893627866685850476567624444645000
4Danton HeinenXX100.00654294806967897336696861256466704900
5Josh AndersonX100.00917081808373786938615673256465675100
6Yakov Trenin (R)X100.00877787637654816156655966254545645000
7Kieffer BellowsX100.00727174697177825950476762644444645000
8Joel Kellman (R)X100.00734395776959685874615974254646654700
9Joseph BlandisiXX100.00774385736651745653625971255858655000
10Tanner KeroX100.00746887626871746379645666535151635000
11Joseph Veleno (R)X100.00767189727170745670505863554444615000
12Eetu Tuulola (R)X100.00838286658269725850535867554444625000
13Eeli Tolvanen (R)XX100.00756890676876806050526364604444655000
14Anthony BitettoX100.00937082707866625725524776756465625000
15Jake BeanX100.00736983676978836225595163484444625000
16Maxime Lajoie (R)X100.00736885776869745125444162395151555000
17Mario Ferraro (R)X100.00854485806768686125514871255151615000
18Xavier OuelletX100.00854589746963765725524768256162605000
19Erik GustafssonX100.00785387836680908025665061756465665100
Rayé
1Adam MascherinX100.00757380617366705350515162484444575000
2Justin KirklandX100.00727077617075805750614862464545585000
3Klim KostinXXX100.00727467707473766278586263594545645000
4Ty RonningX100.00696189626155574750444557434444525000
5Jack DoughertyX100.00736983636969754825394161394949535000
6Kale ClagueX100.00716584716567705725485161484444595000
7Teemu Kivihalme (R)X100.00736786666769755025434160394444535000
MOYENNE D'ÉQUIPE100.0078648570716876594455546647515162500
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
1Hunter Miska100.0063567063676758676664304444634700
2Calvin Petersen100.0059779670566450615756304444594700
Rayé
MOYENNE D'ÉQUIPE100.006167836762665464626030444461470
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Hynes83808081666281USA4731,356,000$


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'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
1Mario FerraroAdmirals (VGK)D72571100138141314.29%514020.081341032000025000.00%000001.0000000011
2Josh AndersonAdmirals (VGK)RW524638017552740.00%29318.7912312600001900100.00%300001.2800000101
3Xavier OuelletAdmirals (VGK)D70551115952060.00%213719.66011231000025000.00%000000.7300010000
4Chris WagnerAdmirals (VGK)C/LW/RW5134312061414267.14%08316.67011326000090048.28%8700000.9600000001
5Danton HeinenAdmirals (VGK)LW/RW522430001175528.57%011623.231122250000222044.44%4500000.6900000020
6Joseph BlandisiAdmirals (VGK)C/LW7033-240101612480.00%212517.950114310000140055.47%13700000.4800000010
7Brock McGinnAdmirals (VGK)LW/RW5202-155711105920.00%19719.560001230000141050.00%1400000.4100100100
8Kieffer BellowsAdmirals (VGK)LW7202-240551641412.50%09914.23000213000000085.71%700000.4000000001
9Klim KostinAdmirals (VGK)C/LW/RW2112-1205363316.67%14020.49112390000121050.00%600000.9800000001
10Erik GustafssonAdmirals (VGK)D5112-1202341425.00%311422.96112427000022010.00%000000.3500000000
11Joseph VelenoAdmirals (VGK)C71121202553420.00%0375.3700015000000060.00%2500001.0600000100
12Dmitry SokolovAdmirals (VGK)LW/RW7101-1406582612.50%0578.1910139000290050.00%400000.3500000000
13Jake BeanAdmirals (VGK)D701111001514110.00%611216.100001400004000.00%000000.1800000000
14Joel KellmanAdmirals (VGK)C5011-2204238490.00%28216.40000000000130059.15%7100000.2400000000
15Tanner KeroAdmirals (VGK)C71010550475514.29%0537.580003150001110060.34%5800000.3800000000
16Eetu TuulolaAdmirals (VGK)RW6011-375788370.00%28313.9300004000000060.00%500000.2400100000
17Eeli TolvanenAdmirals (VGK)LW/RW5011-155433240.00%08517.01000123000000025.00%400000.2400010000
18Anthony BitettoAdmirals (VGK)D7000-216030125470.00%1615522.24000339000029000.00%000000.0000000000
19Yakov TreninAdmirals (VGK)C5000000103110.00%1244.9200000000000053.85%2600000.0000000000
20Maxime LajoieAdmirals (VGK)D5000120722010.00%18416.860000000008000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne116162945-2111251501441435211011.19%44182615.74611174435100032434154.67%49200000.4900220345
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
1Calvin PetersenAdmirals (VGK)53200.8981.80300019880000.000050100
Stats d'équipe Total ou en Moyenne53200.8981.80300019880000.000050100


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 RestantSalaire MoyenSalaire Moyen 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
Adam MascherinAdmirals (VGK)LW221998-06-05No206 Lbs5 ft11NoNoNo2Pro & Farm880,000$880,000$450,000$450,000$0$0$No880,000$Lien
Anthony BitettoAdmirals (VGK)D291990-07-14No210 Lbs6 ft1NoNoNo1Pro & Farm621,500$621,500$621,500$621,500$0$0$NoLien
Brock McGinnAdmirals (VGK)LW/RW261994-02-01No185 Lbs6 ft0NoNoNo1Pro & Farm887,500$887,500$887,500$887,500$0$0$NoLien
Calvin PetersenAdmirals (VGK)G251994-10-19No185 Lbs6 ft1NoNoNo3Pro & Farm1,108,333$1,108,333$858,333$858,333$0$0$No858,333$858,333$Lien
Chris WagnerAdmirals (VGK)C/LW/RW291991-05-27No198 Lbs6 ft0NoNoNo2Pro & Farm1,600,000$1,600,000$1,350,000$1,350,000$0$0$No1,350,000$Lien
Danton HeinenAdmirals (VGK)LW/RW241995-07-05No185 Lbs6 ft1NoNoNo2Pro & Farm995,833$995,833$995,833$995,833$0$0$No995,833$Lien
Dmitry SokolovAdmirals (VGK)LW/RW221998-04-13No221 Lbs5 ft11NoNoNo2Pro & Farm830,000$830,000$450,000$450,000$0$0$No830,000$Lien
Eeli TolvanenAdmirals (VGK)LW/RW211999-04-22Yes191 Lbs5 ft10NoNoNo3Pro & Farm3,115,000$3,115,000$3,115,000$3,115,000$0$0$No3,115,000$3,115,000$
Eetu TuulolaAdmirals (VGK)RW221998-03-17Yes225 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Erik GustafssonAdmirals (VGK)D281992-03-14No176 Lbs6 ft0NoNoNo1Pro & Farm650,000$650,000$650,000$650,000$0$0$NoLien
Hunter MiskaAdmirals (VGK)G241995-07-06No170 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Jack DoughertyAdmirals (VGK)D241996-05-24No186 Lbs6 ft1NoNoNo2Pro & Farm902,000$902,000$450,000$450,000$0$0$No902,000$Lien
Jake BeanAdmirals (VGK)D221998-06-09No187 Lbs6 ft1NoNoNo2Pro & Farm1,363,333$1,363,333$450,000$450,000$0$0$No1,363,333$Lien
Joel KellmanAdmirals (VGK)C261994-05-25Yes192 Lbs5 ft11NoNoNo2Pro & Farm937,500$937,500$925,000$925,000$0$0$No925,000$Lien
Joseph BlandisiAdmirals (VGK)C/LW251994-07-18No182 Lbs5 ft11NoNoNo1Pro & Farm680,000$680,000$680,000$680,000$0$0$NoLien
Joseph VelenoAdmirals (VGK)C202000-01-13Yes194 Lbs6 ft1NoNoNo3Pro & Farm1,243,750$1,243,750$1,243,750$1,243,750$0$0$No1,243,750$1,243,750$
Josh AndersonAdmirals (VGK)RW261994-05-06No221 Lbs6 ft3NoNoNo1Pro & Farm678,333$678,333$678,333$678,333$0$0$NoLien
Justin KirklandAdmirals (VGK)LW231996-08-02No183 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$450,000$450,000$0$0$No925,000$Lien
Kale ClagueAdmirals (VGK)D221998-06-05No177 Lbs6 ft0NoNoNo2Pro & Farm894,166$894,166$450,000$450,000$0$0$No894,166$Lien
Kieffer BellowsAdmirals (VGK)LW221998-06-10No196 Lbs6 ft0NoNoNo2Pro & Farm1,106,666$1,106,666$450,000$450,000$0$0$No1,106,666$Lien
Klim KostinAdmirals (VGK)C/LW/RW211999-05-05No196 Lbs6 ft3NoNoNo2Pro & Farm1,075,833$1,075,833$450,000$450,000$0$0$No1,075,833$Lien
Mario FerraroAdmirals (VGK)D211998-09-17Yes185 Lbs5 ft11NoNoNo3Pro & Farm1,137,500$1,137,500$1,137,500$1,137,500$0$0$No1,137,500$1,137,500$
Maxime LajoieAdmirals (VGK)D221997-11-05Yes183 Lbs6 ft1NoNoNo3Pro & Farm780,000$780,000$780,000$780,000$0$0$No780,000$780,000$
Tanner KeroAdmirals (VGK)C271992-07-24No185 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Teemu KivihalmeAdmirals (VGK)D251995-06-14Yes181 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Ty RonningAdmirals (VGK)RW221997-10-20No172 Lbs5 ft9NoNoNo2Pro & Farm750,833$750,833$450,000$450,000$0$0$No750,833$Lien
Xavier OuelletAdmirals (VGK)D261993-07-28No185 Lbs6 ft1NoNoNo1Pro & Farm1,250,000$1,250,000$1,250,000$1,250,000$0$0$NoLien
Yakov TreninAdmirals (VGK)C231997-01-13Yes201 Lbs6 ft2NoNoNo3Pro & Farm863,333$863,333$863,333$863,333$0$0$No863,333$863,333$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2823.89191 Lbs6 ft02.001,031,300$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Danton HeinenChris WagnerJosh Anderson35122
2Brock McGinnJoseph BlandisiEeli Tolvanen30122
3Kieffer BellowsJoel KellmanEetu Tuulola25122
4Dmitry SokolovYakov TreninDanton Heinen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik GustafssonAnthony Bitetto35122
2Mario FerraroXavier Ouellet30122
3Jake BeanMaxime Lajoie25122
4Erik GustafssonAnthony Bitetto10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Danton HeinenChris WagnerJosh Anderson60122
2Brock McGinnJoseph BlandisiEeli Tolvanen40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik GustafssonAnthony Bitetto60122
2Mario FerraroXavier Ouellet40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Danton HeinenJosh Anderson60122
2Brock McGinnChris Wagner40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik GustafssonAnthony Bitetto60122
2Mario FerraroXavier Ouellet40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Danton Heinen60122Erik GustafssonAnthony Bitetto60122
2Josh Anderson40122Mario FerraroXavier Ouellet40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Danton HeinenJosh Anderson60122
2Brock McGinnChris Wagner40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik GustafssonAnthony Bitetto60122
2Mario FerraroXavier Ouellet40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Danton HeinenChris WagnerJosh AndersonErik GustafssonAnthony Bitetto
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Danton HeinenChris WagnerJosh AndersonErik GustafssonAnthony Bitetto
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tanner Kero, Joseph Veleno, Joel KellmanTanner Kero, Joseph VelenoJoel Kellman
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jake Bean, Maxime Lajoie, Mario FerraroJake BeanMaxime Lajoie, Mario Ferraro
Tirs de Pénalité
Danton Heinen, Josh Anderson, Brock McGinn, Chris Wagner, Joseph Blandisi
Gardien
#1 : Calvin Petersen, #2 : Hunter Miska


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
1IceHogs2020000004-41010000002-21010000002-200.000000008440334063420321147461400.00%15193.33%011120753.62%9819151.31%639963.64%186130148508445
2Penguins11000000422110000004220000000000021.000481200844032406342025812285240.00%60100.00%011120753.62%9819151.31%639963.64%186130148508445
3Phantoms1010000023-1000000000001010000023-100.0002460084402540634201861816900.00%9188.89%011120753.62%9819151.31%639963.64%186130148508445
4Stars22000000853110000004311100000042241.000815230084404040634204417264710330.00%9277.78%011120753.62%9819151.31%639963.64%186130148508445
Total74300000161424310000010733120000067-180.57116304601844014540634201314511115144613.64%43490.70%011120753.62%9819151.31%639963.64%186130148508445
6Wolves11000000202110000002020000000000021.0002350184401540634201238146116.67%40100.00%011120753.62%9819151.31%639963.64%186130148508445
_Since Last GM Reset74300000161424310000010733120000067-180.57116304601844014540634201314511115144613.64%43490.70%011120753.62%9819151.31%639963.64%186130148508445
_Vs Conference532000001091321000006512110000044060.60010182801844088406342088318110730413.33%28389.29%011120753.62%9819151.31%639963.64%186130148508445
_Vs Division532000001091321000006512110000044060.60010182801844088406342088318110730413.33%28389.29%011120753.62%9819151.31%639963.64%186130148508445

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
78L21630461451314511115101
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
74300001614
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4310000107
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
312000067
Derniers 10 Matchs
WLOTWOTL SOWSOL
430000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
44613.64%43490.70%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
40634208440
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
11120753.62%9819151.31%639963.64%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
186130148508445


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
1 - 2020-09-037Penguins2Admirals4WSommaire du Match
3 - 2020-09-0518Admirals2Phantoms3LSommaire du Match
4 - 2020-09-0626Stars3Admirals4WSommaire du Match
5 - 2020-09-0737Admirals4Stars2WSommaire du Match
7 - 2020-09-0952Wolves0Admirals2WSommaire du Match
8 - 2020-09-1055Admirals0IceHogs2LSommaire du Match
10 - 2020-09-1276IceHogs2Admirals0LSommaire du Match
11 - 2020-09-1385Admirals-Rampage-
12 - 2020-09-1495Rampage-Admirals-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
13 - 2020-09-1599Admirals-Wolves-



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
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,887,640$ 2,368,607$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 5 0$ 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