Sharks

GP: 9 | W: 7 | L: 1 | OTL: 1 | P: 15
GF: 21 | GA: 17 | PP%: 16.33% | PK%: 93.18%
DG: Patrick Bourdon | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #106 vs Condors
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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
1Alan QuineX100.00787388757368687280746571625556705000
2Beck Malenstyn (R)X100.00777287657273795350475463514444595000
3Danny O'Regan (R)XX100.00736688686679846278625763544444645000
4Brayden BurkeXX100.00686281626274766950686662634444675000
5Brett SeneyXX100.00605670775682876379606258594949645000
6Jordan GreenwayXX100.00796677808767946454756272256060705000
7Otto Koivula (R)XX100.00754594668350765559505571254545605000
8Sam SteelX100.00634190816470867285705960255555665000
9Troy TerryXX100.00574095776568847436685954535454645000
10Miles WoodXX100.00805476927464836925677072256263714600
11William CarrierX100.00955784807855805956635956256162645000
12Derek RyanXXX100.00594094776368926687736876756566725000
13Travis BoydXX100.00674297636759616859746464255455665000
14Shane Bowers (R)X100.00767090667062636075585864554444635000
15Chad RuhwedelX100.00834490726965546025494870255960605000
16Jordan OesterleX100.00714291776771826525524874256161625000
17Rasmus Sandin (R)X100.00774388806764636425594862254646615000
18Sean WalkerX100.00774488667076836825614976255757645000
19Trevor van RiemsdykX100.00634193807065816025514769256566605000
Rayé
1Brett Leason (R)X100.00817791647767725050504664444444575000
2Connor CliftonX100.00944688646464705725394867454849595000
3Tobias Geisser (R)X100.00847799527746484125283963374444495000
MOYENNE D'ÉQUIPE100.0074548872706676625059566640535363500
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
1Aaron Dell100.0069626173697067707770755758695000
2Craig Anderson100.0068747473736356696968787678685000
Rayé
MOYENNE D'ÉQUIPE100.006968687371676270736977676869500
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Weight75717977747077USA5131,250,000$


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
1Alan QuineSharks (SJS)C964100608203161419.35%117519.5333614380000230164.42%16300001.1424000310
2Jordan GreenwaySharks (SJS)LW/RW9145-1140246142187.14%219721.991125370000351069.23%1300000.5124000010
3Jordan OesterleSharks (SJS)D9134-48019417135.88%820022.241231330000032000.00%000000.4000000021
4Mark PysykSharksD61231100111113497.69%713722.991121129000016000.00%000000.4400000000
5Trevor van RiemsdykSharks (SJS)D9123-8408181812.50%818020.10123425000024000.00%000000.3300000002
6Brett SeneySharks (SJS)C/LW90220006139480.00%010912.1500000000000091.67%1200000.3700000000
7Otto KoivulaSharks (SJS)LW/RW9022-120672320.00%0667.4000000000000066.67%300000.6000000000
8Rasmus SandinSharks (SJS)D9022080855130.00%114115.750002900002000.00%000000.2800000000
9Sam SteelSharks (SJS)C9022-20012284100.00%014916.57011234000060065.15%13200000.2722000000
10Troy TerrySharks (SJS)C/RW9112-20011384812.50%013615.19011334000000025.00%1200000.2900000010
11Miles WoodSharks (SJS)LW/RW3022000146350.00%05217.4501108000190033.33%300000.7602000000
12William CarrierSharks (SJS)LW9112-216023812378.33%013515.03112132000001033.33%900000.3000000000
13Derek RyanSharks (SJS)C/LW/RW31121001483012.50%13210.96011120002100088.89%900001.2200000100
14Danny O'ReganSharks (SJS)C/RW91010207593411.11%010611.8800000000090140.00%500000.1900000100
15Chad RuhwedelSharks (SJS)D9101-114010443125.00%415517.3300007000019000.00%000000.1300000000
16Sean WalkerSharks (SJS)D310116031110100.00%37123.70000010000012010.00%000000.2800000000
17Travis BoydSharks (SJS)C/RW90110203136060.00%010011.1800004000000054.76%8400000.2000000000
18Beck MalenstynSharks (SJS)LW9000100113120.00%0212.3900014000070060.00%500000.0000000000
19Connor CliftonSharks (SJS)D1000-100300000.00%11818.120000100000000.00%000000.0000000000
20Brayden BurkeSharks (SJS)LW/RW3000100022010.00%0186.210000000001000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne145162945-17920144144166471099.64%36220915.24814225731100032122361.86%45100000.41612000553
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
1Aaron DellSharks (SJS)97110.8851.8156400171480000.8571490010
Stats d'équipe Total ou en Moyenne97110.8851.8156400171480000.8571490010


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
Aaron DellSharks (SJS)G311989-05-04No200 Lbs6 ft0NoNoNo2Pro & Farm1,900,000$1,900,000$1,900,000$1,900,000$0$0$No1,900,000$Lien
Alan QuineSharks (SJS)C271993-02-25No203 Lbs6 ft0NoNoNo3Pro & Farm735,000$735,000$735,000$735,000$0$0$No735,000$735,000$Lien
Beck MalenstynSharks (SJS)LW221998-02-04Yes194 Lbs6 ft2NoNoNo3Pro & Farm773,333$773,333$773,333$773,333$0$0$No773,333$773,333$
Brayden BurkeSharks (SJS)LW/RW231997-01-01No170 Lbs5 ft10NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$Lien
Brett LeasonSharks (SJS)RW211999-04-30Yes201 Lbs6 ft4NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Brett SeneySharks (SJS)C/LW241996-02-28No156 Lbs5 ft9NoNoNo2Pro & Farm757,500$757,500$757,500$757,500$0$0$No757,500$Lien
Chad RuhwedelSharks (SJS)D301990-05-07No191 Lbs5 ft11NoNoNo1Pro & Farm650,000$650,000$650,000$650,000$0$0$NoLien
Connor CliftonSharks (SJS)D251995-04-28No175 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Craig AndersonSharks (SJS)G391981-05-21No185 Lbs6 ft2NoNoNo1Pro & Farm3,000,000$3,000,000$3,000,000$3,000,000$0$0$NoLien
Danny O'ReganSharks (SJS)C/RW261994-01-30Yes185 Lbs5 ft10NoNoNo2Pro & Farm874,125$874,125$450,000$450,000$0$0$No874,125$Lien
Derek RyanSharks (SJS)C/LW/RW331986-12-29No170 Lbs5 ft11NoNoNo1Pro & Farm1,450,000$1,450,000$1,450,000$1,450,000$0$0$NoLien
Jordan GreenwaySharks (SJS)LW/RW231997-02-16No226 Lbs6 ft6NoNoNo2Pro & Farm1,225,000$1,225,000$1,225,000$1,225,000$0$0$No1,225,000$Lien
Jordan OesterleSharks (SJS)D281992-06-24No182 Lbs6 ft0NoNoNo1Pro & Farm650,000$650,000$1,000,000$1,000,000$0$0$NoLien
Miles WoodSharks (SJS)LW/RW241995-09-13No195 Lbs6 ft2NoNoNo2Pro & Farm2,750,000$2,750,000$2,750,000$2,750,000$0$0$No2,750,000$Lien
Otto KoivulaSharks (SJS)LW/RW211998-10-01Yes220 Lbs6 ft4NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Rasmus SandinSharks (SJS)D202000-03-07Yes187 Lbs5 ft11NoNoNo3Pro & Farm894,167$894,167$894,167$894,167$0$0$No894,167$894,167$
Sam SteelSharks (SJS)C221998-02-03No178 Lbs5 ft11NoNoNo2Pro & Farm863,333$863,333$450,000$450,000$0$0$No863,333$Lien
Sean WalkerSharks (SJS)D251994-11-12No196 Lbs5 ft11NoNoNo1Pro & Farm807,500$807,500$745,000$745,000$0$0$NoLien
Shane BowersSharks (SJS)C201999-07-30Yes187 Lbs6 ft2NoNoNo3Pro & Farm1,075,000$1,075,000$1,075,000$1,075,000$0$0$No1,075,000$1,075,000$
Tobias GeisserSharks (SJS)D211999-02-13Yes201 Lbs6 ft4NoNoNo3Pro & Farm837,778$837,778$837,778$837,778$0$0$No837,778$837,778$
Travis BoydSharks (SJS)C/RW261993-09-14No185 Lbs5 ft11NoNoNo3Pro & Farm800,000$800,000$800,000$800,000$0$0$No800,000$800,000$Lien
Trevor van RiemsdykSharks (SJS)D281991-07-24No188 Lbs6 ft2NoNoNo1Pro & Farm2,300,000$2,300,000$2,300,000$2,300,000$0$0$NoLien
Troy TerrySharks (SJS)C/RW221997-09-10No174 Lbs6 ft1NoNoNo2Pro & Farm1,491,666$1,491,666$1,491,666$1,491,666$0$0$No1,491,666$Lien
William CarrierSharks (SJS)LW251994-12-20No212 Lbs6 ft2NoNoNo1Pro & Farm1,400,000$1,400,000$1,400,000$1,400,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2425.25190 Lbs6 ft12.041,208,725$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Miles WoodAlan QuineJordan Greenway35122
2William CarrierSam SteelTroy Terry30122
3Brett SeneyTravis BoydDanny O'Regan25122
4Otto KoivulaBrett SeneyDerek Ryan10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan OesterleSean Walker35122
2Trevor van Riemsdyk30122
3Rasmus SandinChad Ruhwedel25122
4Jordan OesterleSean Walker10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Miles WoodAlan QuineJordan Greenway60122
2William CarrierSam SteelTroy Terry40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan OesterleSean Walker60122
2Chad RuhwedelTrevor van Riemsdyk40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Alan QuineJordan Greenway60122
2Derek RyanMiles Wood40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan OesterleSean Walker60122
2Chad RuhwedelTrevor van Riemsdyk40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Derek Ryan60122Chad RuhwedelSean Walker60122
2Alan Quine40122Rasmus SandinTrevor van Riemsdyk40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jordan Greenway60122
2Alan QuineSam Steel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Chad RuhwedelSean Walker60122
2Jordan OesterleTrevor van Riemsdyk40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Miles WoodAlan QuineJordan GreenwayJordan OesterleTrevor van Riemsdyk
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brayden BurkeDerek RyanTravis BoydJordan OesterleSean Walker
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brayden Burke, Danny O'Regan, Miles WoodDerek Ryan, Travis BoydBeck Malenstyn
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Rasmus Sandin, Chad Ruhwedel, Rasmus SandinChad Ruhwedel,
Tirs de Pénalité
Miles Wood, Jordan Greenway, Alan Quine, Sam Steel, William Carrier
Gardien
#1 : Aaron Dell, #2 : Craig Anderson


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
1Admirals20000020532100000103211000001021141.0005611009536346142622347826371119.09%130100.00%014024058.33%12523253.88%7012755.12%2341652136811557
2Condors10000010431000000000001000001043121.0004610009536206142622316324144125.00%110100.00%014024058.33%12523253.88%7012755.12%2341652136811557
3Flames2010001034-11010000013-21000001021120.50033600953640614262233048321000.00%30100.00%014024058.33%12523253.88%7012755.12%2341652136811557
4Monarchs22000000532110000002111100000032141.000591400953649614262232915244210220.00%10190.00%014024058.33%12523253.88%7012755.12%2341652136811557
5Moose210001004401000010023-11100000021130.75047110095363161426223269202514428.57%7271.43%014024058.33%12523253.88%7012755.12%2341652136811557
Total93100140211744110011089-1520000301385150.833213152009536174614262231483910215049816.33%44393.18%014024058.33%12523253.88%7012755.12%2341652136811557
_Since Last GM Reset93100140211744110011089-1520000301385150.833213152009536174614262231483910215049816.33%44393.18%014024058.33%12523253.88%7012755.12%2341652136811557
_Vs Conference730001301813531000110761420000201174130.92918284600953613461426223118359411839820.51%41392.68%014024058.33%12523253.88%7012755.12%2341652136811557
_Vs Division93000130211744100011089-1520000201385130.722213152009536174614262231483910215049816.33%44393.18%014024058.33%12523253.88%7012755.12%2341652136811557

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
915W32131521741483910215000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
93101402117
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
411011089
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
5200030138
Derniers 10 Matchs
WLOTWOTL SOWSOL
710100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
49816.33%44393.18%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
614262239536
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
14024058.33%12523253.88%7012755.12%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2341652136811557


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 - 2020-09-049Sharks3Monarchs2WSommaire du Match
3 - 2020-09-0520Admirals2Sharks3WXXSommaire du Match
5 - 2020-09-0733Flames3Sharks1LSommaire du Match
6 - 2020-09-0844Sharks2Admirals1WXXSommaire du Match
8 - 2020-09-1054Monarchs1Sharks2WSommaire du Match
9 - 2020-09-1168Moose3Sharks2LXSommaire du Match
10 - 2020-09-1280Sharks2Flames1WXXSommaire du Match
11 - 2020-09-1386Sharks2Moose1WSommaire du Match
12 - 2020-09-1490Sharks4Condors3WXXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
14 - 2020-09-16106Condors-Sharks-



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$ 2,900,941$ 2,845,945$ 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$ 3 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