Sharks

GP: 7 | W: 3 | L: 4 | OTL: 0 | P: 6
GF: 10 | GA: 10 | PP%: 0.00% | PK%: 87.50%
DG: Kevin Poulin | Morale : 1 | Moyenne d'Équipe : 63
Prochain matchs vs Wild
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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
1Roman Horak (R)X100.004233997171788174828666636567674061690
2Sven Andrighetto (R)X100.005536807765797981696770699071687145690
3Shane Prince (R)X100.005138757672617474597570655974696363670
4Jack SkilleX100.006843827178777962816558735982784865670
5Joakim AnderssonX100.005240707577586074826657776090783857660
6Seth Griffith (R)X100.005135747461666865786768656872687166640
7Austin Watson (R)X100.007385717281517564576162795562546353640
8Derek Grant (R)X100.005443726980516486805161715266554840630
9Ryan Reaves (R)X100.009579736978488161605458625772704858620
10Micheal Haley (R)X100.007892647268456460666056635574634769610
11Garnet Hathaway (R)X100.006661607377686560585755645564595543610
12Ryan Carpenter (R)X100.005135767669646659766056675764595552610
13Max McCormick (R)X100.005756567265536660725257605662516362580
14Remi Elie (R)X100.005536776774605159305651725456408735580
15Pontus Aberg (R)X100.005135747267485263305460615960487146570
16Marcus Sorensen (R)X100.004935777362464358315455645662546330560
17Brett Bulmer (R)X100.006978666764596348694743575048484719530
18Mathew Barzal (R)X100.005035687366454045484141504852489519490
19Klas DahlbeckX100.009544877074697085255855845857574955710
20Sami LepistoX100.009472436574737345174545794599995761680
21Ryan Pulock (R)X100.004835807778737675255159655361617938640
22Jakub Nakladal (R)X100.005842816477626564324949595072634820600
23Cameron Gaunce (R)X100.005437706474464650304745664966614731570
24Karl Stollery (R)X100.005740716764534949304843664872592319570
25Casey Nelson (R)X100.005135757070454551304745665062576311560
Rayé
MOYENNE D'ÉQUIPE100.00614873717159646353575567566761584562
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
1Calvin Pickard (R)100.00817985807989908890888077736561820
2Kevin Poulin (R)100.00608177817585858787758278773361770
Rayé
1Jean-François Berube (R)100.00736569757173777782835564615519720
MOYENNE D'ÉQUIPE100.0071757779758284848682727370514777
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rob Zettler80757666807475CAN493800,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Mason RaymondSharksLW743710010143091513.33%415321.950002110000231046.15%1352000.9100000110
2Joakim AnderssonSharks (SJ )C742652058183922.22%29213.1500000000001152.54%5900001.3000000100
3Anton LanderSharksC71451401320187145.56%615021.540001110000200049.76%20942000.6600000000
4Roman HorakSharks (SJ )LW7235-50088308156.67%814120.170000100000100050.00%651000.7100000000
5Seth GriffithSharks (SJ )LW7235500571781411.76%19113.06000000000000100.00%432001.0900000000
6Sven AndrighettoSharks (SJ )RW72351201612227149.09%414120.17000011000091047.83%2341000.7100000011
7Austin WatsonSharks (SJ )RW723550011892622.22%69113.0600000000000150.00%421001.0900000011
8Shane PrinceSharks (SJ )C7224-51001711379205.41%513018.62000010000000048.08%15641000.6100000000
9David SchlemkoSharksD7022-20061010740.00%416223.2600008000017000.00%034000.2500000000
10Klas DahlbeckSharks (SJ )D70224401657650.00%2017124.56000112000021000.00%038000.2300000000
11Jack SkilleSharks (SJ )RW7022-50021115090.00%212918.55000010000000050.00%611000.3100000000
12Mark FayneSharksD70114009228410.00%717224.65000112000022000.00%014000.1200000000
13Derek GrantSharks (SJ )C7011-1005515260.00%3598.5700000000130060.00%2522000.3300000000
14Sami LepistoSharks (SJ )D7011-218018117450.00%515522.2400008000010000.00%005000.1300000000
15Ryan ReavesSharks (SJ )RW7101-1003440425.00%3568.00000000000000100.00%114000.3600000000
16Cameron GaunceSharks (SJ )D4000-120535000.00%47017.670000000007000.00%004000.0000000000
17Casey NelsonSharks (SJ )D3000-120523120.00%55518.380000000002000.00%003000.0000000000
18Marcus SorensenSharks (SJ )LW7000000020000.00%071.130000000006000.00%000000.0000000000
19Dmitry OrlovSharksD3000000000000.00%000.250000000000000.00%000000.0000000000
20Micheal HaleySharks (SJ )LW7000-175416370.00%2547.840000000000000.00%020000.0000100000
21Garnet HathawaySharks (SJ )RW7000000000000.00%010.220000000000000.00%000000.0000000000
22Ryan CarpenterSharks (SJ )C7000000000000.00%030.470000000000000.00%000000.0000000000
23Ryan PulockSharks (SJ )D7000-200588230.00%911616.700000000000000.00%022000.0000000000
24Max McCormick Sharks (SJ )LW7000000000000.00%071.0200000000060033.33%300000.0000000000
25Remi ElieSharks (SJ )LW7000000010000.00%030.480000000002000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne1642032520515182173259821537.72%100222213.55000510900011683250.20%5104247000.4700100232
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 PickardSharks (SJ )62220.9203.173792020250115000.000061110
2Kevin PoulinSharks (SJ )11000.9232.47730033916000.000016000
Stats d'équipe Total ou en Moyenne73220.9203.054532023289131000.000077110


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 CONT StatusType Salaire Actuel Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Austin WatsonSharks (SJ )RW261992-01-12 12:29:00Yes193 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm575,000$575,000$
Brett BulmerSharks (SJ )RW261992-04-25 12:31:07Yes212 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm600,000$600,000$
Calvin PickardSharks (SJ )D241993-08-03 05:11:14Yes197 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm813,333$
Cameron GaunceSharks (SJ )D281990-03-19 13:14:56Yes210 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm650,000$650,000$650,000$
Casey NelsonSharks (SJ )D251992-07-18 09:20:28Yes190 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm650,000$650,000$650,000$
Derek GrantSharks (SJ )C281990-04-19 15:09:49Yes206 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm700,000$700,000$
Garnet HathawaySharks (SJ )RW261991-11-22 07:01:56Yes210 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm690,000$690,000$
Jack SkilleSharks (SJ )RW291988-08-02 23:11:13No214 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm600,000$
Jakub NakladalSharks (SJ )D301987-12-29 16:00:34Yes205 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm818,000$
Jean-François BerubeSharks (SJ )LW261991-07-13 12:32:53Yes177 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm575,000$575,000$
Joakim AnderssonSharks (SJ )C271990-08-03 11:11:13No214 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm600,000$600,000$600,000$
Karl StollerySharks (SJ )D301987-11-21 13:16:35Yes180 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm575,000$575,000$575,000$
Kevin PoulinSharks (SJ )RW281989-08-03 05:11:14Yes217 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm800,000$800,000$
Klas DahlbeckSharks (SJ )D251992-08-02 23:11:13No198 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm613,333$
Marcus SorensenSharks (SJ )LW261992-04-07 03:45:30Yes175 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm700,000$700,000$700,000$
Mathew BarzalSharks (SJ )C201997-05-26 13:18:28Yes182 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm863,333$863,333$863,333$
Max McCormick Sharks (SJ )LW261992-05-01 06:47:04Yes185 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm855,000$855,000$
Micheal HaleySharks (SJ )LW321986-03-30 06:40:13Yes205 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm600,000$600,000$
Pontus AbergSharks (SJ )LW241993-09-23 13:20:48Yes196 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm650,000$650,000$650,000$
Remi ElieSharks (SJ )LW231995-04-16 13:22:37Yes210 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm745,000$745,000$745,000$
Roman HorakSharks (SJ )LW261991-08-03 17:11:13Yes180 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm600,000$
Ryan CarpenterSharks (SJ )C271991-01-18 09:30:51Yes180 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm925,000$925,000$
Ryan PulockSharks (SJ )D231994-10-06 12:34:45Yes212 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm925,000$925,000$
Ryan ReavesSharks (SJ )RW311987-01-20 06:59:31Yes224 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm1,125,000$1,125,000$
Sami LepistoSharks (SJ )D321985-08-03 05:11:13No196 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm575,000$
Seth GriffithSharks (SJ )LW231994-08-03 11:11:13Yes188 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm759,167$
Shane PrinceSharks (SJ )C241993-08-03 05:11:13Yes192 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm876,666$
Sven AndrighettoSharks (SJ )RW231994-08-03 11:11:13Yes189 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm633,333$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2826.36198 Lbs6 ft11.96717,577$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ryan ReavesDerek GrantSven Andrighetto35122
2Roman HorakShane PrinceJack Skille35122
3Seth GriffithJoakim AnderssonAustin Watson25122
4Micheal HaleyDerek GrantRyan Reaves5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jakub NakladalKlas Dahlbeck35122
2Karl StollerySami Lepisto35122
3Ryan PulockCameron Gaunce30122
4Sami LepistoKlas Dahlbeck0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ryan ReavesDerek GrantSven Andrighetto60122
2Roman HorakShane PrinceJack Skille40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan PulockKlas Dahlbeck60122
2Jakub NakladalSami Lepisto40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Shane PrinceJack Skille60122
2Sven AndrighettoRoman Horak40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Cameron GaunceKlas Dahlbeck60122
2Ryan PulockSami Lepisto40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Sven Andrighetto60122Cameron GaunceKlas Dahlbeck60122
2Roman Horak40122Karl StollerySami Lepisto40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Shane PrinceRyan Carpenter60122
2Sven AndrighettoRoman Horak40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan PulockKlas Dahlbeck60122
2Cameron GaunceSami Lepisto40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Shane PrinceRoman HorakSven AndrighettoSami LepistoKlas Dahlbeck
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Shane PrinceRoman HorakSven AndrighettoSami LepistoKlas Dahlbeck
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Carpenter, Garnet Hathaway, Max McCormick Ryan Carpenter, Garnet HathawayMax McCormick
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Pulock, Cameron Gaunce, Sami LepistoRyan PulockCameron Gaunce, Klas Dahlbeck
Tirs de Pénalité
Garnet Hathaway, Max McCormick , Sven Andrighetto, Roman Horak, Shane Prince
Gardien
#1 : Calvin Pickard, #2 : Kevin Poulin


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
Total734000002023-33210000010100413000001013-360.429203252007210125984808312289100531821100.00%24387.50%09818253.85%9821944.75%6010955.05%148851786912658
2Wild734000002023-33210000010100413000001013-360.429203252007210125984808312289100531821100.00%24387.50%09818253.85%9821944.75%6010955.05%148851786912658
_Since Last GM Reset734000002023-33210000010100413000001013-360.429203252007210125984808312289100531821100.00%24387.50%09818253.85%9821944.75%6010955.05%148851786912658
_Vs Conference734000002023-33210000010100413000001013-360.429203252007210125984808312289100531821100.00%24387.50%09818253.85%9821944.75%6010955.05%148851786912658

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
76OTL12032522592891005318200
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
73400002023
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32100001010
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
41300001013
Derniers 10 Matchs
WLOTWOTL SOWSOL
320200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1100.00%24387.50%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
8480831272101
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
9818253.85%9821944.75%6010955.05%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
148851786912658


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 - 2017-10-015Sharks2Wild3LXSommaire du Match
4 - 2017-10-0313Sharks4Wild3WXSommaire du Match
6 - 2017-10-0521Wild5Sharks1LSommaire du Match
8 - 2017-10-0729Wild2Sharks4WSommaire du Match
10 - 2017-10-0937Sharks1Wild3LSommaire du Match
12 - 2017-10-1145Wild3Sharks5WSommaire du Match
14 - 2017-10-1353Sharks3Wild4LXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3525
Assistance53622577
Assistance PCT89.37%85.90%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 2646 - 88.21% 125,207$375,622$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,009,216$ 1,322,133$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
0$ 0$ 0$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 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
12734000002023-33210000010100413000001013-36203252007210125984808312289100531821100.00%24387.50%09818253.85%9821944.75%6010955.05%148851786912658
Total Séries734000002023-33210000010100413000001013-36203252007210125984808312289100531821100.00%24387.50%09818253.85%9821944.75%6010955.05%148851786912658