Soldiers

GP: 8 | W: 7 | L: 1 | OTL: 0 | P: 14
GF: 24 | GA: 13 | PP%: 16.28% | PK%: 91.30%
DG: Louis-Philippe Fraser | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #97 vs Sharks
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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 WagnerXXX100.00947680777362895955565982636667675000
3Dmitry SokolovXX100.00837893627866685850476567624444645000
4Danton HeinenXX100.00654294806967897336696861256466705000
5Josh AndersonX100.00917081808373786938615673256465675000
6Yakov Trenin (R)X100.00877787637654816156655966254545645000
7Kieffer BellowsX100.00727174697177825950476762644444645000
8Joel Kellman (R)X100.00734395776959685874615974254646655000
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 GustafssonX100.00785387836680908025665061756465665000
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 Miska100.0063567063676758676664304444635000
2Calvin Petersen100.0059779670566450615756304444595000
Rayé
MOYENNE D'ÉQUIPE100.006167836762665464626030444461500
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
1Joel KellmanSoldiers (VGK)C8617560423227727.27%212816.02000000000211157.45%9400001.0900000301
2Brock McGinnSoldiers (VGK)LW/RW842631001382721714.81%215619.5921311350000222033.33%2700000.7711000011
3Jake BeanSoldiers (VGK)D806610115761050.00%813316.640000600009000.00%000000.9000100011
4Eeli TolvanenSoldiers (VGK)LW/RW842626094165925.00%113116.40011837000001028.57%700000.9100000000
5Josh AndersonSoldiers (VGK)RW80550401810141100.00%316320.400336340000420045.45%1100000.6101000002
6Danton HeinenSoldiers (VGK)LW/RW8134-100014243144.17%018322.9611210290001380030.69%10100000.4401000000
7Maxime LajoieSoldiers (VGK)D80449120830110.00%913516.9800002000019000.00%000000.5900000011
8Xavier OuelletSoldiers (VGK)D80440215784650.00%215919.99022332000024000.00%000000.5000000000
9Erik GustafssonSoldiers (VGK)D8224-20097102420.00%019023.78213937000043000.00%000000.4200000000
10Joseph BlandisiSoldiers (VGK)C/LW8134200714104310.00%013116.40101535000021050.85%11800000.6100000010
11Eetu TuulolaSoldiers (VGK)RW8134523512412468.33%110613.2700011000000050.00%400000.7500010000
12Kieffer BellowsSoldiers (VGK)LW8123517564401125.00%010312.9500000000001066.67%300000.5800010100
13Anthony BitettoSoldiers (VGK)D8112-312015811169.09%817521.96112935000033000.00%000000.2300000000
14Chris WagnerSoldiers (VGK)C/LW/RW82021601714140514.29%214117.660004330000240143.08%13000000.2800000100
15Mario FerraroSoldiers (VGK)D801101001086330.00%616720.98011631000030000.00%000000.1200000000
16Dmitry SokolovSoldiers (VGK)LW/RW8000-140311020.00%0364.530000000000000.00%100000.0000000000
17Yakov TreninSoldiers (VGK)C8000-120454030.00%2364.5300000000000059.38%3200000.0000000000
18Tanner KeroSoldiers (VGK)C8000000331110.00%1313.9900018000070057.14%700000.0000000000
19Joseph VelenoSoldiers (VGK)C8000000000010.00%091.1400003000010050.00%200000.0000000000
Stats d'équipe Total ou en Moyenne15223396234144201521441814011312.71%47232115.27711187336700013236245.62%53700000.5313120546
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 PetersenSoldiers (VGK)87100.9091.6148402131430301.000380120
Stats d'équipe Total ou en Moyenne87100.9091.6148402131430301.000380120


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 MascherinSoldiers (VGK)LW221998-06-05No206 Lbs5 ft11NoNoNo2Pro & Farm880,000$787,742$450,000$402,823$0$0$No880,000$Lien
Anthony BitettoSoldiers (VGK)D291990-07-14No210 Lbs6 ft1NoNoNo1Pro & Farm621,500$556,343$621,500$556,343$0$0$NoLien
Brock McGinnSoldiers (VGK)LW/RW261994-02-01No185 Lbs6 ft0NoNoNo1Pro & Farm887,500$794,456$887,500$794,456$0$0$NoLien
Calvin PetersenSoldiers (VGK)G251994-10-19No185 Lbs6 ft1NoNoNo3Pro & Farm1,108,333$992,137$858,333$768,346$0$0$No858,333$858,333$Lien
Chris WagnerSoldiers (VGK)C/LW/RW291991-05-27No198 Lbs6 ft0NoNoNo2Pro & Farm1,600,000$1,432,258$1,350,000$1,208,468$0$0$No1,350,000$Lien
Danton HeinenSoldiers (VGK)LW/RW241995-07-05No185 Lbs6 ft1NoNoNo2Pro & Farm995,833$891,431$995,833$891,431$0$0$No995,833$Lien
Dmitry SokolovSoldiers (VGK)LW/RW221998-04-13No221 Lbs5 ft11NoNoNo2Pro & Farm830,000$742,984$450,000$402,823$0$0$No830,000$Lien
Eeli TolvanenSoldiers (VGK)LW/RW211999-04-22Yes191 Lbs5 ft10NoNoNo3Pro & Farm3,115,000$2,788,427$3,115,000$2,788,427$0$0$No3,115,000$3,115,000$
Eetu TuulolaSoldiers (VGK)RW221998-03-17Yes225 Lbs6 ft2NoNoNo3Pro & Farm925,000$828,024$925,000$828,024$0$0$No925,000$925,000$
Erik GustafssonSoldiers (VGK)D281992-03-14No176 Lbs6 ft0NoNoNo1Pro & Farm650,000$581,855$650,000$581,855$0$0$NoLien
Hunter MiskaSoldiers (VGK)G241995-07-06No170 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$895,161$1,000,000$895,161$0$0$NoLien
Jack DoughertySoldiers (VGK)D241996-05-24No186 Lbs6 ft1NoNoNo2Pro & Farm902,000$807,435$450,000$402,823$0$0$No902,000$Lien
Jake BeanSoldiers (VGK)D221998-06-09No187 Lbs6 ft1NoNoNo2Pro & Farm1,363,333$1,220,403$450,000$402,823$0$0$No1,363,333$Lien
Joel KellmanSoldiers (VGK)C261994-05-25Yes192 Lbs5 ft11NoNoNo2Pro & Farm937,500$839,214$925,000$828,024$0$0$No925,000$Lien
Joseph BlandisiSoldiers (VGK)C/LW251994-07-18No182 Lbs5 ft11NoNoNo1Pro & Farm680,000$608,710$680,000$608,710$0$0$NoLien
Joseph VelenoSoldiers (VGK)C202000-01-13Yes194 Lbs6 ft1NoNoNo3Pro & Farm1,243,750$1,113,357$1,243,750$1,113,357$0$0$No1,243,750$1,243,750$
Josh AndersonSoldiers (VGK)RW261994-05-06No221 Lbs6 ft3NoNoNo1Pro & Farm678,333$607,217$678,333$607,217$0$0$NoLien
Justin KirklandSoldiers (VGK)LW231996-08-02No183 Lbs6 ft3NoNoNo2Pro & Farm925,000$828,024$450,000$402,823$0$0$No925,000$Lien
Kale ClagueSoldiers (VGK)D221998-06-05No177 Lbs6 ft0NoNoNo2Pro & Farm894,166$800,423$450,000$402,823$0$0$No894,166$Lien
Kieffer BellowsSoldiers (VGK)LW221998-06-10No196 Lbs6 ft0NoNoNo2Pro & Farm1,106,666$990,645$450,000$402,823$0$0$No1,106,666$Lien
Klim KostinSoldiers (VGK)C/LW/RW211999-05-05No196 Lbs6 ft3NoNoNo2Pro & Farm1,075,833$963,044$450,000$402,823$0$0$No1,075,833$Lien
Mario FerraroSoldiers (VGK)D211998-09-17Yes185 Lbs5 ft11NoNoNo3Pro & Farm1,137,500$1,018,246$1,137,500$1,018,246$0$0$No1,137,500$1,137,500$
Maxime LajoieSoldiers (VGK)D221997-11-05Yes183 Lbs6 ft1NoNoNo3Pro & Farm780,000$698,226$780,000$698,226$0$0$No780,000$780,000$
Tanner KeroSoldiers (VGK)C271992-07-24No185 Lbs6 ft0NoNoNo1Pro & Farm750,000$671,371$750,000$671,371$0$0$NoLien
Teemu KivihalmeSoldiers (VGK)D251995-06-14Yes181 Lbs6 ft0NoNoNo3Pro & Farm925,000$828,024$925,000$828,024$0$0$No925,000$925,000$
Ty RonningSoldiers (VGK)RW221997-10-20No172 Lbs5 ft9NoNoNo2Pro & Farm750,833$672,117$450,000$402,823$0$0$No750,833$Lien
Xavier OuelletSoldiers (VGK)D261993-07-28No185 Lbs6 ft1NoNoNo1Pro & Farm1,250,000$1,118,952$1,250,000$1,118,952$0$0$NoLien
Yakov TreninSoldiers (VGK)C231997-01-13Yes201 Lbs6 ft2NoNoNo3Pro & Farm863,333$772,822$863,333$772,822$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
1Bruins11000000303110000003030000000000021.0003580167101173364834241010185120.00%40100.00%011724148.55%7518640.32%5311048.18%2051411775910252
2Stars641000101710732100000118332000010624100.833172845016710114233648341032711210830413.33%32487.50%011724148.55%7518640.32%5311048.18%2051411775910252
Total86100010241311431000001486430000101055140.875243963026710118133648341434714415243716.28%46491.30%011724148.55%7518640.32%5311048.18%2051411775910252
4Wolves11000000431000000000001100000043121.00046100067101223364834161022268225.00%100100.00%011724148.55%7518640.32%5311048.18%2051411775910252
_Since Last GM Reset86100010241311431000001486430000101055140.875243963026710118133648341434714415243716.28%46491.30%011724148.55%7518640.32%5311048.18%2051411775910252
_Vs Conference7510001021138321000001183430000101055120.857213455016710116433648341193713413438615.79%42490.48%011724148.55%7518640.32%5311048.18%2051411775910252
_Vs Division7510001021138321000001183430000101055120.857213455016710116433648341193713413438615.79%42490.48%011724148.55%7518640.32%5311048.18%2051411775910252

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
814W12439631811434714415202
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
86100102413
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4310000148
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4300010105
Derniers 10 Matchs
WLOTWOTL SOWSOL
710000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
43716.28%46491.30%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
336483467101
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
11724148.55%7518640.32%5311048.18%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2051411775910252


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 - 2020-09-273Soldiers1Stars0WSommaire du Match
2 - 2020-09-2815Stars2Soldiers5WSommaire du Match
4 - 2020-09-3026Stars2Soldiers3WSommaire du Match
5 - 2020-10-0139Soldiers3Stars1WSommaire du Match
7 - 2020-10-0353Bruins0Soldiers3WSommaire du Match
9 - 2020-10-0566Soldiers2Stars1WXXSommaire du Match
10 - 2020-10-0670Stars4Soldiers3LSommaire du Match
12 - 2020-10-0881Soldiers4Wolves3WSommaire du Match
14 - 2020-10-1097Soldiers-Sharks-
16 - 2020-10-12102Stars-Soldiers-
18 - 2020-10-14113Soldiers-Wolves-
20 - 2020-10-16125Wolves-Soldiers-
21 - 2020-10-17132Soldiers-Condors-
23 - 2020-10-19145Rampage-Soldiers-
24 - 2020-10-20155Soldiers-IceHogs-
25 - 2020-10-21170IceHogs-Soldiers-
27 - 2020-10-23185Griffins-Soldiers-
28 - 2020-10-24187Soldiers-Moose-
30 - 2020-10-26201Flames-Soldiers-
32 - 2020-10-28214Soldiers-Marlies-
34 - 2020-10-30226Stars-Soldiers-
37 - 2020-11-02241Monarchs-Soldiers-
38 - 2020-11-03245Soldiers-Senators-
40 - 2020-11-05261Phantoms-Soldiers-
42 - 2020-11-07270Soldiers-Wolves-
45 - 2020-11-10288Condors-Soldiers-
47 - 2020-11-12303Soldiers-Bruins-
48 - 2020-11-13311Wolves-Soldiers-
50 - 2020-11-15331Sharks-Soldiers-
51 - 2020-11-16340Soldiers-Stars-
52 - 2020-11-17351Flames-Soldiers-
53 - 2020-11-18359Soldiers-Condors-
55 - 2020-11-20369Soldiers-Stars-
56 - 2020-11-21380Stars-Soldiers-
57 - 2020-11-22396Penguins-Soldiers-
58 - 2020-11-23402Soldiers-Penguins-
59 - 2020-11-24412Soldiers-Condors-
61 - 2020-11-26424Wolves-Soldiers-
63 - 2020-11-28440IceHogs-Soldiers-
65 - 2020-11-30452Soldiers-Moose-
66 - 2020-12-01459Soldiers-Rampage-
67 - 2020-12-02469IceHogs-Soldiers-
68 - 2020-12-03482Soldiers-Sound Tigers-
70 - 2020-12-05489Rampage-Soldiers-
71 - 2020-12-06505Marlies-Soldiers-
73 - 2020-12-08517Soldiers-Monarchs-
74 - 2020-12-09522Soldiers-IceHogs-
75 - 2020-12-10533Condors-Soldiers-
76 - 2020-12-11542Soldiers-Rampage-
78 - 2020-12-13554Admirals-Soldiers-
79 - 2020-12-14566Soldiers-Admirals-
80 - 2020-12-15575Rampage-Soldiers-
82 - 2020-12-17590Rocket-Soldiers-
85 - 2020-12-20603Soldiers-Rampage-
86 - 2020-12-21615Soldiers-Rampage-
87 - 2020-12-22623Senators-Soldiers-
88 - 2020-12-23636Admirals-Soldiers-
90 - 2020-12-25646Soldiers-Griffins-
92 - 2020-12-27656Soldiers-Flames-
93 - 2020-12-28664Crunch-Soldiers-
95 - 2020-12-30683IceHogs-Soldiers-
96 - 2020-12-31692Soldiers-Wolves-
97 - 2021-01-01706Stars-Soldiers-
98 - 2021-01-02715Soldiers-Bruins-
99 - 2021-01-03725Soldiers-Phantoms-
101 - 2021-01-05733Sound Tigers-Soldiers-
102 - 2021-01-06749Rampage-Soldiers-
103 - 2021-01-07757Soldiers-Rocket-
105 - 2021-01-09771Bruins-Soldiers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
106 - 2021-01-10781Soldiers-IceHogs-
107 - 2021-01-11792Soldiers-Condors-
108 - 2021-01-12795Moose-Soldiers-
110 - 2021-01-14811Soldiers-Stars-
111 - 2021-01-15818Monsters-Soldiers-
113 - 2021-01-17838Wolf Pack-Soldiers-
115 - 2021-01-19852Soldiers-Sharks-
116 - 2021-01-20858Soldiers-Monsters-
117 - 2021-01-21861Wolves-Soldiers-
119 - 2021-01-23881Monarchs-Soldiers-
120 - 2021-01-24886Soldiers-Crunch-
121 - 2021-01-25889Soldiers-IceHogs-
122 - 2021-01-26894Soldiers-Wolf Pack-



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
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
444,899$ 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$ 302,731$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 111 34,223$ 3,798,753$




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
20208610001024131143100000148643000010105514243963026710118133648341434714415243716.28%46491.30%011724148.55%7518640.32%5311048.18%2051411775910252
Total Saison Régulière8610001024131143100000148643000010105514243963026710118133648341434714415243716.28%46491.30%011724148.55%7518640.32%5311048.18%2051411775910252