St. John's Sharks

GP: 5 | W: 1 | L: 4 | OTL: 0 | P: 2
GF: 15 | GA: 22 | PP%: 20.00% | PK%: 80.00%
DG: Joel Copeland | Morale : 36 | Moyenne d'Équipe : N/A
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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
1Lane MacDermid (R)0X100.00615954727854615630514555495858793700
2Ryan White0X100.00818956686951465964544466506060713800
3Scott Parse0X100.00493664696552466233505459576865393700
4Zac Dalpe (R)0XXX100.00493579707248615944535357545861793700
5John Armstrong0X100.00544163638054465041464254516057713700
6Kyle Rogers0X100.00463779668254464633444151456861393700
7Martin St. Pierre0X100.00493571756054556345654755537065313700
8Matt Pope0X100.00483575737048455031464454486862393700
9Phil Varone (R)0X100.00483575746252576145604758525647873700
10Ryan Duncan0X100.00453578805548485930544954536664473700
11Shayne Wiebe (R)0X100.00443581746245405330484051465662873700
12Willie Coetzee (R)0X100.00453578766348515130474455505657873700
13Brett Flemming (R)0X100.00543565706445404730404255505461953800
14Chris Breen (R)0X100.00503575609048564730424562495853793700
15David Warsofsky (R)0X100.00443578715648535130474459525652873700
16Jace Coyle (R)0X100.00443582696445404530404059495662873700
17Jyri Niemi (R)0X100.00463578607748434530424761515652873700
18Patrick Wellar0X100.00615354608053474731434460497059313700
Rayé
1Peter Regin0X100.00523579687556476364595263586465553800
2A.J. Jenks (R)0X100.00483576667546435230474355485652873500
3C.J. Stretch (R)0X100.00473577736645405335484053465862793500
4Adam Almquist (R)0X100.00505050505050505050505050505050503500
5Olivier Malka (R)0X81.36513570696345404530404055485662872800
MOYENNE D'ÉQUIPE99.1951407169694948533749455750605969360
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
1Joe Fallon100.0045576777625855545354626662473700
2John Muse (R)100.0048456361645757606152496048713700
3Fredrik Petterson (R)100.0050505050505050505050505050503700
Rayé
1Joe Cannata (R)100.0045456569604848565345485662873500
MOYENNE D'ÉQUIPE100.004749616459535355545052585664370
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Curt Fraser66656766827985USA522400,000$


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
1Ryan DuncanSt. John's Sharks (WSH)RW524600045941522.22%08216.49022115000000050.00%6172001.4600000010
2Ryan WhiteSt. John's Sharks (WSH)C52351171581082825.00%47915.9400000000171048.78%4194001.2500111001
3Scott ParseSt. John's Sharks (WSH)LW5235-3201161251116.67%18216.53022316000020033.33%3132001.2100000000
4Zac DalpeSt. John's Sharks (WSH)C/LW/RW5314-30064104430.00%37915.89202316000000050.00%6163001.0100000000
5Martin St. PierreSt. John's Sharks (WSH)C5044-140563270.00%010120.250221150000140055.56%4595000.7900000000
6David WarsofskySt. John's Sharks (WSH)D5213-2000843450.00%310320.6210121700008000.00%044000.5800000100
7Peter ReginSt. John's Sharks (WSH)C4022-660563230.00%08822.08011014000080050.94%5332000.4500000000
8Brett FlemmingSt. John's Sharks (WSH)D5022-355451210.00%29619.2501101600008000.00%005000.4200001000
9Chris BreenSt. John's Sharks (WSH)D5202-100710222100.00%311122.36101115000015000.00%017000.3600000000
10Jyri NiemiSt. John's Sharks (WSH)D5112-5002683212.50%27615.290000000000000.00%025000.5200000000
11Matt PopeSt. John's Sharks (WSH)RW5022-2005594110.00%37415.000000000000000.00%353000.5300000000
12Phil VaroneSt. John's Sharks (WSH)C5101-3007650720.00%15410.9400000000190057.14%2153000.3700000000
13Willie CoetzeeSt. John's Sharks (WSH)RW5011-100323110.00%1367.320000000000000.00%052000.5500000000
14Lane MacDermidSt. John's Sharks (WSH)LW5000-120940100.00%08717.57000015000040050.00%214000.0000000000
15Jace CoyleSt. John's Sharks (WSH)D5000-500045210.00%87414.940000000004000.00%002000.0000000000
16John ArmstrongSt. John's Sharks (WSH)C5000-240413100.00%3265.2800002000000050.00%620000.0000000000
17Kyle RogersSt. John's Sharks (WSH)RW5000000100000.00%051.1500000000000033.33%300000.0000000000
18Olivier MalkaSt. John's Sharks (WSH)D4000120320000.00%1153.930000000000000.00%000000.0000000000
19Patrick WellarSt. John's Sharks (WSH)D5000-2801164000.00%612224.5200011500009000.00%024000.0000000000
20Shayne WiebeSt. John's Sharks (WSH)LW5000-200053020.00%07414.800000000000000.00%231000.0000000000
Stats d'équipe Total ou en Moyenne98152439-4050209510192387916.30%41147415.054812121610002961050.26%1919758000.5300112111
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
1Joe FallonSt. John's Sharks (WSH)51300.7894.5326500209551000.000050000
2John MuseSt. John's Sharks (WSH)10100.8003.5334002108000.000005000
Stats d'équipe Total ou en Moyenne61400.7904.40300002210559000.000055000


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 StatusType Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire 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
A.J. JenksSt. John's Sharks (WSH)LW216/27/1992Yes201 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm875,000$875,000$875,000$875,000$0$0$No875,000$Lien
Adam AlmquistSt. John's Sharks (WSH)D222/27/1991 5:43:24 PMYes174 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Brett FlemmingSt. John's Sharks (WSH)D202/26/1993Yes184 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm558,333$558,333$558,333$558,333$0$0$No558,333$558,333$Lien
C.J. StretchSt. John's Sharks (WSH)C218/3/1991Yes195 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Chris BreenSt. John's Sharks (WSH)D226/29/1991Yes227 Lbs6 ft6NoNoNo2Contrat d'EntréePro & Farm543,333$543,333$543,333$543,333$0$0$No543,333$Lien
David WarsofskySt. John's Sharks (WSH)D215/30/1992Yes170 Lbs5 ft9NoNoNo3Contrat d'EntréePro & Farm875,000$875,000$875,000$875,000$0$0$No875,000$875,000$Lien
Fredrik PettersonSt. John's Sharks (WSH)G217/23/1991 1:11:33 AMYes190 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Jace CoyleSt. John's Sharks (WSH)D215/24/1992Yes185 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm536,666$536,666$536,666$536,666$0$0$No536,666$Lien
Joe CannataSt. John's Sharks (WSH)G211/2/1992Yes200 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm400,000$400,000$0$0$No400,000$Lien
Joe FallonSt. John's Sharks (WSH)G262/1/1987No190 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm400,000$400,000$0$0$No400,000$Lien
John ArmstrongSt. John's Sharks (WSH)C232/26/1990No215 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm600,000$600,000$0$0$No600,000$600,000$Lien
John MuseSt. John's Sharks (WSH)G228/1/1990Yes175 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm725,000$725,000$725,000$725,000$0$0$No725,000$725,000$Lien
Jyri NiemiSt. John's Sharks (WSH)D216/15/1992Yes210 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm700,000$700,000$700,000$700,000$0$0$No700,000$Lien
Kyle RogersSt. John's Sharks (WSH)RW2612/20/1986No220 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$Lien
Lane MacDermidSt. John's Sharks (WSH)LW218/25/1991Yes205 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm603,333$603,333$603,333$603,333$0$0$NoLien
Martin St. PierreSt. John's Sharks (WSH)C278/11/1985No187 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm450,000$450,000$450,000$450,000$0$0$No450,000$Lien
Matt PopeSt. John's Sharks (WSH)RW268/5/1986No185 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$Lien
Olivier MalkaSt. John's Sharks (WSH)D215/30/1992Yes192 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Patrick WellarSt. John's Sharks (WSH)D2712/4/1985No210 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$Lien
Peter ReginSt. John's Sharks (WSH)C254/16/1988No200 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Phil VaroneSt. John's Sharks (WSH)C2012/4/1992Yes186 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm400,000$400,000$0$0$No400,000$Lien
Ryan DuncanSt. John's Sharks (WSH)RW257/14/1987No170 Lbs5 ft7NoNoNo2Avec RestrictionPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Ryan WhiteSt. John's Sharks (WSH)C233/17/1990No193 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm625,000$625,000$625,000$625,000$0$0$NoLien
Scott ParseSt. John's Sharks (WSH)LW269/5/1986No189 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm900,000$900,000$900,000$900,000$0$0$NoLien
Shayne WiebeSt. John's Sharks (WSH)LW211/23/1992Yes185 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Willie CoetzeeSt. John's Sharks (WSH)RW2011/7/1992Yes188 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm531,111$531,111$531,111$531,111$0$0$No531,111$531,111$Lien
Zac DalpeSt. John's Sharks (WSH)C/LW/RW2111/1/1991Yes195 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm875,000$875,000$875,000$875,000$0$0$No875,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2722.63193 Lbs6 ft02.04562,881$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Scott ParseMartin St. PierreZac Dalpe40122
2Lane MacDermidRyan WhiteRyan Duncan30122
3Shayne WiebePhil VaroneMatt Pope20122
4Martin St. PierreJohn ArmstrongWillie Coetzee10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Chris BreenPatrick Wellar40122
2David WarsofskyJyri Niemi30122
3Brett FlemmingJace Coyle20122
4Chris BreenPatrick Wellar10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Scott ParseMartin St. PierreZac Dalpe60122
2Lane MacDermidRyan WhiteRyan Duncan40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Chris BreenPatrick Wellar60122
2David WarsofskyJyri Niemi40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Martin St. PierreRyan White60122
2Scott ParsePhil Varone40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Chris BreenPatrick Wellar60122
2David WarsofskyJyri Niemi40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Martin St. Pierre60122Chris BreenPatrick Wellar60122
2Ryan White40122David WarsofskyJyri Niemi40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Martin St. PierreRyan White60122
2Scott ParsePhil Varone40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Chris BreenPatrick Wellar60122
2David WarsofskyJyri Niemi40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Scott ParseMartin St. PierreZac DalpeChris BreenPatrick Wellar
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Scott ParseMartin St. PierreZac DalpeChris BreenPatrick Wellar
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kyle Rogers, John Armstrong, Matt PopeKyle Rogers, John ArmstrongMatt Pope
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brett Flemming, Jace Coyle, David WarsofskyBrett FlemmingJace Coyle, David Warsofsky
Tirs de Pénalité
Martin St. Pierre, Ryan White, Scott Parse, Phil Varone, Zac Dalpe
Gardien
#1 : Joe Fallon, #2 : John Muse, #3 : Fredrik Petterson


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
1Chicago Icehogs1010000025-3000000000001010000025-300.00024600276016174233024108222150.00%40100.00%0265844.83%326450.00%386955.07%11672103408041
2Great Lakes Mechanics1010000046-21010000046-20000000000000.000461000276019174233023111116000.00%3233.33%0265844.83%326450.00%386955.07%11672103408041
3Houston Sting1010000024-2000000000001010000024-200.00023500276022174233021711176116.67%3166.67%0265844.83%326450.00%386955.07%11672103408041
4Long Island Cobras21100000770110000005321010000024-220.500711180027603517423303713204012216.67%50100.00%0265844.83%326450.00%386955.07%11672103408041
Total514000001522-72110000099030300000613-720.20015243900276092174233010541509520420.00%15380.00%0265844.83%326450.00%386955.07%11672103408041
_Since Last GM Reset514000001522-72110000099030300000613-720.20015243900276092174233010541509520420.00%15380.00%0265844.83%326450.00%386955.07%11672103408041
_Vs Conference514000001522-72110000099030300000613-720.20015243900276092174233010541509520420.00%15380.00%0265844.83%326450.00%386955.07%11672103408041
_Vs Division314000001113-2211000009901030000024-220.3331117280027605417423306024315612216.67%8275.00%0265844.83%326450.00%386955.07%11672103408041

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
52L31524399210541509500
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
51400001522
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000099
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3030000613
Derniers 10 Matchs
WLOTWOTL SOWSOL
140000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
20420.00%15380.00%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
17423302760
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
265844.83%326450.00%386955.07%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11672103408041


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 - 2018-05-154St. John's Sharks2Houston Sting4LSommaire du Match
2 - 2018-05-1619Long Island Cobras3St. John's Sharks5WSommaire du Match
4 - 2018-05-1839St. John's Sharks2Chicago Icehogs5LSommaire du Match
6 - 2018-05-2053St. John's Sharks2Long Island Cobras4LSommaire du Match
7 - 2018-05-2158Great Lakes Mechanics6St. John's Sharks4LSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,519,777$ 1,339,777$ 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$ 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