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Sharks
GP: 19 | W: 9 | L: 10
GF: 56 | GA: 68 | PP%: 19.18% | PK%: 78.95%
DG: Kevin Poulin | Morale : 71 | Moyenne d’équipe : 67
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Centre de jeu
Sharks
9-10-0, 18pts
3
FINAL
2 Avalanche
16-9-0, 32pts
Team Stats
L1StreakW2
6-5-0Home Record6-7-0
3-5-0Away Record10-2-0
4-5-1Last 10 Games6-3-1
2.95Buts par match 3.68
3.58Buts contre par match 2.60
19.18%Pourcentage en avantage numérique17.24%
78.95%Pourcentage en désavantage numérique86.49%
Avalanche
16-9-0, 32pts
4
FINAL
3 Sharks
9-10-0, 18pts
Team Stats
W2StreakL1
6-7-0Home Record6-5-0
10-2-0Away Record3-5-0
6-3-1Last 10 Games4-5-1
3.68Buts par match 2.95
2.60Buts contre par match 3.58
17.24%Pourcentage en avantage numérique19.18%
86.49%Pourcentage en désavantage numérique78.95%
Meneurs d'équipe
Buts
Austin Watson
9
Passes
Roman Horak
12
Points
Roman Horak
20
Plus/Moins
Michael McLeod
5
Victoires
Ville Husso
7
Pourcentage d’arrêts
Ville Husso
0.898

Statistiques d’équipe
Buts pour
56
2.95 GFG
Tirs pour
611
32.16 Avg
Pourcentage en avantage numérique
19.2%
14 GF
Début de zone offensive
39.3%
Buts contre
68
3.58 GAA
Tirs contre
640
33.68 Avg
Pourcentage en désavantage numérique
78.9%%
16 GA
Début de la zone défensive
38.6%
Informations de l'équipe

Directeur généralKevin Poulin
EntraîneurRob Zettler
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison1,800


Informations de la formation

Équipe Pro35
Équipe Mineure18
Limite contact 53 / 60
Espoirs29


Historique d'équipe

Saison actuelle9-10
Historique52-22-11 (0.612%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)9-10
Coupe Stanley0


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 SPÂgeContratSalaire
1Roman HorakX100.001789970716781998599937065848428767703222,500,000$
2Austin Watson (R)X100.0078476871827168886787849360796361657603133,000,000$
3Marcus Sorensen (R)X100.0069398871697293794976777969847746777203132,000,000$
4Sven AndrighettoX100.0082625367717179897077776890878359807203011,000,000$
5Arthur Kaliyev (R)X100.007172778485757879507278606166697875710222894,167$
6Ryan Carpenter (R)X100.0075458570837085718075697462897931757003221,000,000$
7Pontus Aberg (R)X100.006246816573757277567876706680736075690291575,000$
8Alexander Barabanov (R)X100.0075419176827260732576736725787166766902921,000,000$
9Jesper Boqvist (R)X100.007441976984687160727270722569697176670241925,000$
10Remi Elie (R)X100.007978816078629469476964735377636632660281575,000$
11Julien Gauthier (R)X100.007546867282547067457468692571677675660251863,333$
12Rasmus Kupari (R)X100.007168797184616162797269575862648121630232863,333$
13Vince Dunn (R)X100.0072438772827784783090878155746463757502622,000,000$
14Klas DahlbeckX100.0070199967756770932567608658707038807103121,250,000$
15Nikolai Knyzhov (R)X100.007545807481707672257268702571716176690252796,667$
16Christian Wolanin (R)X100.007141867981624782257271742568605372680283800,000$
17Cal Foote (R)X100.007245776984607863257068642571727874660242850,000$
18Zac Jones (R)X100.007242936980655759257668687564666320650222925,000$
Rayé
1Michael McLeod (R)X100.007892777284668565897369742571738069690253900,000$
2Jan Jenik (R)X100.007762857885585866747177615564666572670222795,000$
3John Leonard (R)X100.007542987483586768257669622567656219650242925,000$
4Zack Mitchell (R)X100.004426946674519263536160785179643222630301575,000$
5Max McCormick (R)X100.007443796984505859447368602580726320630313575,000$
6Jeffrey Truchon-Viel (R)X100.007545437184485665257267582568654819620262750,000$
7Rourke Chartier (R)X100.004021866672465669685957695258574920590271575,000$
8Jean-Christophe Beaudin (R)X100.005031996574727656675453665869676419590261765,000$
9Dennis Gilbert (R)X100.009973516679817955305955655072695868670261925,000$
10Tobias Bjornfot (R)X100.007243876783706660257368672561648314650221925,000$
11Jacob Middleton (R)X100.007479896681545567257268694672695619640271725,000$
12Trevor Carrick (R)X100.004940956674717561305752715475705619630282575,000$
13Keaton Middleton (R)X100.006160665894707159305956624867655920620252742,500$
14Reilly Walsh (R)X100.007468885968585955253333624744445619550243925,000$
15Vladislav Kolyachonok (R)X100.007971996571545647253131623744445220550223789,167$
MOYENNE D’ÉQUIPE100.00694983697964716946706769477167595066
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 SPÂgeContratSalaire
1Kevin Poulin (R)100.00688177817596969898788294922176840331900,000$
2Ville Husso (R)100.00798689847991888387757573775876810282750,000$
Rayé
MOYENNE D’ÉQUIPE100.0074848383779492919377798485407683
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rob Zettler78797964837772CAN543800,000$


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
1Roman HorakSharks (SJ )C1981220-1100106355194414.55%541822.03471110640001641057.54%57789000.9600000000
2Austin WatsonSharks (SJ )RW1991120-7280442981174311.11%1438620.34461013620003550035.71%28117001.0400000013
3Sven AndrighettoSharks (SJ )RW1941014-7401069326927355.80%935318.620227500000190040.91%221210000.7900200010
4Marcus SorensenSharks (SJ )LW195712-660433138142513.16%1339320.733478650002471034.21%3888000.6100000004
5Arthur KaliyevSharks (SJ )LW197512-61715351954244012.96%1032617.19101548000003128.57%21207000.7400210030
6Julien Gauthier Sharks (SJ )RW174593001583061513.33%71317.7400001000001055.56%982001.3700000110
7Vince DunnSharks (SJ )D19088-6100414527790.00%1948325.42011472000169000.00%01318000.3300000000
8Klas DahlbeckSharks (SJ )D18257-5001832225119.09%1745125.10112568000068000.00%0310000.3100000000
9Pontus AbergSharks (SJ )LW19437080232738143410.53%625713.57000150001140141.38%2944000.5400000000
10Ryan CarpenterSharks (SJ )C19156-612102749279203.70%633517.67000250000030052.94%34039000.3600011000
11Christian WolaninSharks (SJ )D19055-12032332611160.00%1939820.97011041000044000.00%0420000.2500000000
12Jesper BoqvistSharks (SJ )C192350001419142814.29%31598.3800000000060044.44%6323000.6300000000
13Michael McLeodSharks (SJ )C162245281027231951210.53%319111.96000010000110154.39%11433000.4200100011
14Nikolai KnyzhovSharks (SJ )D19134-1120253021894.76%1142122.18101345000047000.00%0614000.1900000001
15Alexander BarabanovSharks (SJ )RW1931400033184318176.98%324612.99000000000271011.11%9113000.3200000100
16Remi ElieSharks (SJ )LW191233601213171125.88%11477.7500000000010150.00%204000.4100000000
17Cal FooteSharks (SJ )D19213-4751531130315.38%929415.5200000000012200.00%056000.2000010200
18Dennis GilbertSharks (SJ )D160220501040202200.00%1923314.570000400005000.00%014000.1700002000
19Rasmus KupariSharks (SJ )C31122201184412.50%0268.7500000000000050.00%600001.5200000000
20Zack MitchellSharks (SJ )RW2000000021000.00%0199.610000000000000.00%001000.00%00000000
21Tobias BjornfotSharks (SJ )D1000-200111000.00%01313.950000000000000.00%000000.00%00000000
22Zac JonesSharks (SJ )D3000-100335020.00%24816.230000000002000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne3425691147-50228605285296111933599.17%176573916.781422365858200085049452.62%1258122142000.5100533479
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
1Ville HussoSharks (SJ )167620.8983.339202051501231110.00%0145200
2Kevin PoulinSharks (SJ )62200.8843.79253001613856000.00%0514000
Statistiques d’équipe totales ou en moyenne229820.8953.42117420676392871101919200


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 restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alexander BarabanovSharks (SJ )RW291994-06-17 06:00:35Yes192 Lbs5 ft10NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
Arthur KaliyevSharks (SJ )LW222001-06-26 14:16:31Yes194 Lbs6 ft2NoNoNo2Pro & Farm894,167$0$0$No894,167$
Austin WatsonSharks (SJ )RW311992-01-12 12:29:00Yes204 Lbs6 ft4NoNoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$
Cal FooteSharks (SJ )D241998-12-13 14:13:48Yes227 Lbs6 ft4NoNoNo2Pro & Farm850,000$0$0$No850,000$
Christian WolaninSharks (SJ )D281995-03-17 05:02:19Yes185 Lbs6 ft2NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Dennis GilbertSharks (SJ )D261996-10-30 12:13:45Yes198 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$No
Jacob MiddletonSharks (SJ )D271996-01-02 13:11:43Yes209 Lbs6 ft3NoNoNo1Pro & Farm725,000$0$0$No
Jan JenikSharks (SJ )LW222000-09-15 14:10:24Yes181 Lbs6 ft1NoNoNo2Pro & Farm795,000$0$0$No795,000$
Jean-Christophe BeaudinSharks (SJ )RW261997-03-27 09:59:02Yes196 Lbs6 ft1NoNoNo1Pro & Farm765,000$0$0$No
Jeffrey Truchon-VielSharks (SJ )LW261997-01-28 13:43:03Yes196 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$
Jesper BoqvistSharks (SJ )C241998-10-30 10:02:00Yes181 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
John LeonardSharks (SJ )LW241998-08-07 04:45:49Yes185 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$
Julien Gauthier Sharks (SJ )RW251997-10-15 10:05:15Yes227 Lbs6 ft4NoNoNo1Pro & Farm863,333$0$0$No
Keaton MiddletonSharks (SJ )D251998-02-10 14:08:34Yes240 Lbs6 ft6NoNoNo2Pro & Farm742,500$0$0$No742,500$
Kevin PoulinSharks (SJ )G331990-04-12 05:11:14Yes218 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$No
Klas DahlbeckSharks (SJ )D311991-07-06 23:11:13No198 Lbs6 ft2NoNoNo2Pro & Farm1,250,000$0$0$No1,250,000$
Marcus SorensenSharks (SJ )LW311992-04-07 03:45:30Yes175 Lbs5 ft11NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
Max McCormick Sharks (SJ )LW311992-05-01 06:47:04Yes187 Lbs5 ft11NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Michael McLeodSharks (SJ )C251998-02-03 05:04:11Yes187 Lbs6 ft2NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
Nikolai KnyzhovSharks (SJ )D251998-03-20 04:58:22Yes203 Lbs6 ft3NoNoNo2Pro & Farm796,667$0$0$No796,667$
Pontus AbergSharks (SJ )LW291993-09-23 13:20:48Yes196 Lbs5 ft11NoNoNo1Pro & Farm575,000$0$0$No
Rasmus KupariSharks (SJ )C232000-03-15 14:06:12Yes185 Lbs6 ft1NoNoNo2Pro & Farm863,333$0$0$No863,333$
Reilly WalshSharks (SJ )D241999-04-21 05:47:30Yes185 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Remi ElieSharks (SJ )LW281995-04-16 13:22:37Yes213 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$No
Roman HorakSharks (SJ )C321991-05-21 17:11:13No182 Lbs6 ft0NoNoNo2Pro & Farm2,500,000$0$0$No2,500,000$
Rourke ChartierSharks (SJ )C271996-04-03 08:05:52Yes190 Lbs5 ft11NoNoNo1Pro & Farm575,000$0$0$No
Ryan CarpenterSharks (SJ )C321991-01-18 09:30:51Yes201 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
Sven AndrighettoSharks (SJ )RW301993-03-21 11:11:13No192 Lbs5 ft9NoNoNo1Pro & Farm1,000,000$0$0$No
Tobias BjornfotSharks (SJ )D222001-04-06 10:08:03Yes196 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
Trevor CarrickSharks (SJ )D281994-07-04 16:27:27Yes189 Lbs6 ft2NoNoNo2Pro & Farm575,000$0$0$No575,000$
Ville HussoSharks (SJ )G281995-02-06 14:03:02Yes205 Lbs6 ft3NoNoNo2Pro & Farm750,000$0$0$No750,000$
Vince DunnSharks (SJ )D261996-10-29 02:29:54Yes203 Lbs6 ft0NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
Vladislav KolyachonokSharks (SJ )D222001-05-26 05:49:23Yes194 Lbs6 ft1NoNoNo3Pro & Farm789,167$0$0$No789,167$789,167$
Zac JonesSharks (SJ )D222000-10-18 14:00:22Yes172 Lbs5 ft10NoNoNo2Pro & Farm925,000$0$0$No925,000$
Zack MitchellSharks (SJ )RW301993-01-07 05:34:32Yes196 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3526.80197 Lbs6 ft11.86998,119$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marcus SorensenRoman HorakAustin Watson35122
2Arthur KaliyevRyan CarpenterSven Andrighetto35122
3Pontus AbergJesper BoqvistAlexander Barabanov25122
4Remi ElieRasmus KupariJulien Gauthier 5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vince DunnKlas Dahlbeck35122
2Nikolai KnyzhovChristian Wolanin35122
3Cal FooteZac Jones30122
4Vince DunnKlas Dahlbeck0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marcus SorensenRoman HorakAustin Watson60122
2Arthur KaliyevRyan CarpenterSven Andrighetto40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vince DunnKlas Dahlbeck60122
2Nikolai KnyzhovChristian Wolanin40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Roman HorakAustin Watson60122
2Marcus SorensenSven Andrighetto40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vince DunnKlas Dahlbeck60122
2Nikolai KnyzhovChristian Wolanin40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Roman Horak60122Vince DunnKlas Dahlbeck60122
2Austin Watson40122Nikolai KnyzhovChristian Wolanin40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Roman HorakAustin Watson60122
2Marcus SorensenSven Andrighetto40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vince DunnKlas Dahlbeck60122
2Nikolai KnyzhovChristian Wolanin40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marcus SorensenRoman HorakAustin WatsonVince DunnKlas Dahlbeck
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marcus SorensenRoman HorakAustin WatsonVince DunnKlas Dahlbeck
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Pontus Aberg, Alexander Barabanov, Jesper BoqvistPontus Aberg, Alexander BarabanovJesper Boqvist
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cal Foote, Zac Jones, Nikolai KnyzhovCal FooteZac Jones, Nikolai Knyzhov
Tirs de pénalité
Roman Horak, Austin Watson, Marcus Sorensen, Sven Andrighetto, Arthur Kaliyev
Gardien
#1 : Ville Husso, #2 : Kevin Poulin
Lignes d’attaque personnalisées en prolongation
Roman Horak, Austin Watson, Marcus Sorensen, Sven Andrighetto, Arthur Kaliyev, Pontus Aberg, Pontus Aberg, Ryan Carpenter, Alexander Barabanov, Jesper Boqvist, Julien Gauthier
Lignes de défense personnalisées en prolongation
Vince Dunn, Klas Dahlbeck, Nikolai Knyzhov, Christian Wolanin, Cal Foote


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
TotalDomicileVisiteur
# 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
1Avalanche514000001322-930300000816-82110000056-120.200132336009192531432211851822316352521431218.33%16568.75%027349555.15%24648550.72%14327851.44%428243402181343173
2Oilers743000002324-1422000001214-2321000001110180.5712337600091925321822118518223213509520043818.60%40977.50%027349555.15%24648550.72%14327851.44%428243402181343173
3Predators743000002022-244000000147730300000615-980.5712031511091925325022118518223264748318518527.78%20290.00%027349555.15%24648550.72%14327851.44%428243402181343173
Total19910000005668-121165000003437-3835000002231-9180.47456911471091925361122118518223640176230528731419.18%761678.95%027349555.15%24648550.72%14327851.44%428243402181343173
_Since Last GM Reset19910000005668-121165000003437-3835000002231-9180.47456911471091925361122118518223640176230528731419.18%761678.95%027349555.15%24648550.72%14327851.44%428243402181343173
_Vs Conference19910000005668-121165000003437-3835000002231-9180.47456911471091925361122118518223640176230528731419.18%761678.95%027349555.15%24648550.72%14327851.44%428243402181343173
_Vs Division743000002324-1422000001214-2321000001110180.5712337600091925321822118518223213509520043818.60%40977.50%027349555.15%24648550.72%14327851.44%428243402181343173

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1918L1569114761164017623052810
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1991000005668
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
116500003437
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
83500002231
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
731419.18%761678.95%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
22118518223919253
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
27349555.15%24648550.72%14327851.44%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
428243402181343173


Derniers matchs 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 - 2022-10-197Predators2Sharks6BWSommaire du match
4 - 2022-10-2115Predators1Sharks2BWXSommaire du match
6 - 2022-10-2323Sharks2Predators3ALXSommaire du match
8 - 2022-10-2531Sharks1Predators7ALSommaire du match
10 - 2022-10-2739Predators2Sharks3BWSommaire du match
12 - 2022-10-2947Sharks3Predators5ALSommaire du match
14 - 2022-10-3155Predators2Sharks3BWXSommaire du match
16 - 2022-11-0260Oilers1Sharks3BWSommaire du match
18 - 2022-11-0464Oilers5Sharks4BLSommaire du match
20 - 2022-11-0668Sharks4Oilers3AWSommaire du match
22 - 2022-11-0872Sharks4Oilers3AWSommaire du match
24 - 2022-11-1076Oilers6Sharks2BLSommaire du match
26 - 2022-11-1280Sharks3Oilers4ALXSommaire du match
28 - 2022-11-1484Oilers2Sharks3BWXSommaire du match
30 - 2022-11-1686Avalanche6Sharks1BLSommaire du match
32 - 2022-11-1888Avalanche6Sharks4BLSommaire du match
34 - 2022-11-2090Sharks2Avalanche4ALSommaire du match
36 - 2022-11-2292Sharks3Avalanche2AWSommaire du match
38 - 2022-11-2494Avalanche4Sharks3BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance22,00011,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 3000 - 100.00% 128,250$1,410,750$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,493,417$ 1,958,417$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Sharks Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Kevin Fiala82314879-2521421313139.90%32164920.11311142420255044.2900.9658
2Danton Heinen70324274152210516627111.81%36141520.22316192810155246.8111.0515
3Jake DeBrusk7627467373214017023611.44%49157920.78812203400014144.1300.9228
4Josh Norris81283664-9561302032919.62%31149518.4738112900036254.8000.8602
5Adrian Kempe8221194055115010211618.10%41148818.165381300001448.2100.5402

Sharks Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Alexandar Georgiev703423100.9052.914057601972081843310.73719
2Pavel Francouz183840.8933.139200048448173010.5004

Sharks Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
Saison régulière
17822931041044247251-441171401621127122541121703423120129-9882474036502088747713251382382683456253187360821542674115.36%2315277.49%3966198148.76%962199548.22%603120350.12%1786103217477531450724
Total Saison régulière82432206335280234464122120310313711720412110032321431172611228045773721791068617255284888380059248175979620842375322.36%2544781.50%81058195154.23%1028196152.42%628123950.69%1752100617667611458721
Séries éliminatoires
Total Séries éliminatoires19910000005668-121165000003437-3835000002231-91856911471091925361122118518223640176230528731419.18%761678.95%027349555.15%24648550.72%14327851.44%428243402181343173

Sharks Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Sharks Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA