Connexion

Sharks
GP: 80 | W: 58 | L: 18 | OTL: 4 | P: 120
GF: 305 | GA: 208 | PP%: 25.68% | PK%: 78.62%
DG: Jason Vaillant | Morale : 99 | Moyenne d’équipe : 70
Prochains matchs #1131 vs Flames
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Centre de jeu
Sharks
58-18-4, 120pts
2
FINAL
3 Flames
53-16-11, 117pts
Team Stats
W1SéquenceL1
29-8-3Fiche domicile30-6-4
29-10-1Fiche domicile23-10-7
8-2-0Derniers 10 matchs4-3-3
3.81Buts par match 4.03
2.60Buts contre par match 2.86
25.68%Pourcentage en avantage numérique22.35%
78.62%Pourcentage en désavantage numérique80.56%
Oilers
30-46-5, 65pts
2
FINAL
3 Sharks
58-18-4, 120pts
Team Stats
L2SéquenceW1
15-23-2Fiche domicile29-8-3
15-23-3Fiche domicile29-10-1
6-3-1Derniers 10 matchs8-2-0
2.69Buts par match 3.81
3.40Buts contre par match 2.60
22.40%Pourcentage en avantage numérique25.68%
76.92%Pourcentage en désavantage numérique78.62%
Sharks
58-18-4, 120pts
Jour 160
Flames
53-16-11, 117pts
Statistiques d’équipe
W1SéquenceL1
29-8-3Fiche domicile30-6-4
29-10-1Fiche visiteur23-10-7
8-2-010 derniers matchs4-3-3
3.81Buts par match 4.03
2.60Buts contre par match 4.03
25.68%Pourcentage en avantage numérique22.35%
78.62%Pourcentage en désavantage numérique80.56%
Coyotes
53-19-7, 113pts
Jour 162
Sharks
58-18-4, 120pts
Statistiques d’équipe
W2SéquenceW1
29-9-3Fiche domicile29-8-3
24-10-4Fiche visiteur29-10-1
7-3-010 derniers matchs8-2-0
4.00Buts par match 3.81
2.77Buts contre par match 3.81
18.93%Pourcentage en avantage numérique25.68%
84.34%Pourcentage en désavantage numérique78.62%
Meneurs d'équipe
Pius SuterButs
Pius Suter
30
Passes
Riley Stillman
49
Pius SuterPoints
Pius Suter
73
Alexey ToropchenkoPlus/Moins
Alexey Toropchenko
37
Magnus HellbergVictoires
Magnus Hellberg
58
Magnus HellbergPourcentage d’arrêts
Magnus Hellberg
0.913

Statistiques d’équipe
Buts pour
305
3.81 GFG
Tirs pour
3208
40.10 Avg
Pourcentage en avantage numérique
25.7%
75 GF
Début de zone offensive
45.1%
Buts contre
208
2.60 GAA
Tirs contre
2347
29.34 Avg
Pourcentage en désavantage numérique
78.6%%
65 GA
Début de la zone défensive
36.8%
Informations de l'équipe

Directeur généralJason Vaillant
EntraîneurAdam Oates
DivisionCentrale
ConférenceConference Ouest
CapitaineJustin Braun
Assistant #1
Assistant #2Alex Barre-Boulet


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 60
Espoirs33


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
1Christian FischerXX100.008160957884808472737271777267670907302711,100,000$
2Pius SuterX100.006360947768849775847072787558580907202733,000,000$
3Riley SheahanXX100.006260887879758270876965827077770907203211,000,000$
4Denis GurianovX100.006860947678788977707070627661610917102631,000,000$
5Alexey Toropchenko (R)XX100.00826088689176747070696966705757091700242900,000$
6Carl GrundstromX100.00816088708072787170677165715757091700262900,000$
7Jacob Peterson (R)XX100.00636095727171857179666965725757091690242900,000$
8Nathan WalkerXX100.00786090797275766770686774725757091690303900,000$
9Matthew Phillips (R)XX100.00646085756570707270696768705151090680253900,000$
10Lane PedersonX100.00796080747773737279666664675757091680262900,000$
11Givani SmithXX100.00778060708572726770666364665757050670261900,000$
12John MarinoX100.006860937974858876507165867060600857502644,400,000$
13Jaycob MegnaX100.00756091768882796650706887675757090740311900,000$
14Justin Braun (C)X100.00726090718081826650666680668383091730372900,000$
15Riley StillmanX100.007970847880767668506866776557570917102611,300,000$
16Simon BenoitX100.00896090748674816650676471655757074700252900,000$
17Kyle BurroughsX100.00866569728474746850676372665757091700282900,000$
Rayé
1Alex Barre-Boulet (A)X100.00656085746870707870636770755757062670263900,000$
2Joel KivirantaX100.00756095747369746970656665685555088670282900,000$
3Zack SmithXX100.006060606866606060686060606077770266303611,900,000$
4Josh MahuraX100.00736080747678846950706772695757089700252900,000$
MOYENNE D’ÉQUIPE100.0073628574777578706668677269616108370
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
1Magnus Hellberg100.0074737391687171737271736969091710331900,000$
2Landon Bow100.0060626291606060626260606060091610281900,000$
Rayé
MOYENNE D’ÉQUIPE100.006768689164666668676667656509166
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Adam Oates51536157727161CAN5911,000,000$


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
1Pius SuterSharks (S-J)C60304373282045200307701899.77%26129521.597101752168022111644159.92%159200011.1304000493
2Justin BraunSharks (S-J)D80274572364601611091977611713.71%110191523.94151429932500222243320%000010.7500000543
3Riley StillmanSharks (S-J)D8015496427580222120181451348.29%109180622.5891423892300222221530%000000.7100000435
4Christian FischerSharks (S-J)LW/RW5924376119320164146307961957.82%23141524.007132055175000102184162.63%37200010.8615000644
5Alexey ToropchenkoSharks (S-J)LW/RW8024376137780166882297517210.48%7147818.4851217482140000235062.50%11200000.8311000434
6Denis GurianovSharks (S-J)RW80193857283758497233641718.15%6158819.86616224124720281231151.52%16500000.7212000135
7Riley SheahanSharks (S-J)C/LW572428522010043183245481489.80%21120721.18610163816600031628167.42%123700000.8623000822
8Carl GrundstromSharks (S-J)RW8015334825520155101202901727.43%4138417.30088241680000121261.68%10700000.6900000015
9Jacob PetersonSharks (S-J)C/LW801531462633527152172441608.72%8119914.9915610470111211258.18%136300000.7700001116
10Kyle BurroughsSharks (S-J)D8053540288401957910634604.72%102146618.33246381300001149010%000000.5500000024
11Josh MahuraSharks (S-J)D764364024600120707825475.13%71122316.100331543000088000%000000.6500000131
12Nathan WalkerSharks (S-J)LW/RW801423371722013792226531816.19%15113614.20000270001312058.62%8700000.6500000331
13Jaycob MegnaSharks (S-J)D298273510300734459175613.56%2671524.671891875000083300%000000.9800000320
14Travis BoydSharksC/LW/RW301518339100551101423410910.56%975025.014711269300021064157.30%102800000.8811000232
15Matthew PhillipsSharks (S-J)LW/RW68171633231804669149388811.41%974210.9200002000165354.72%5300000.8900000154
16Lane PedersonSharks (S-J)C80101323124801077381155712.35%3297312.17000010000301056.49%47800000.4700000112
17Simon BenoitSharks (S-J)D459132215200724370125012.86%4294120.917512361200002128120%000000.4700000112
18Warren FoegeleSharksLW/RW2311102110100586877156214.29%955824.2815617802026732060.70%22900000.7500000322
19Pavel MintyukovSharksD3041620232094566026526.67%5169623.212683879000070010%000000.5700000024
20Luke HughesSharksD2051217212028415826428.62%2447423.701783055000043020%000000.7212000001
21John MarinoSharks (S-J)D186101698030264793412.77%1645425.234372246000359120%000000.7000000102
22Alex Barre-BouletSharks (S-J)C4843736081631101712.90%62465.1300002000082056.99%9300000.5700000001
23Joel KivirantaSharks (S-J)LW70224080157285167.14%31712.45000000000100143.48%2300000.4700000000
24Givani SmithSharks (S-J)LW/RW222132404091981810.53%11888.5800001000001072.73%1100000.3200000000
25Zack SmithSharks (S-J)C/LW13011100130010%1282.17000030000100073.68%1900000.7100000000
Statistiques d’équipe totales ou en moyenne13883095778864137201021462002330493523489.35%7312405717.337815022869224124711532093542660.24%696900030.74718001495463
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
1Magnus HellbergSharks (S-J)80581840.9132.5248156220223320230.82417800543
2Landon BowSharks (S-J)10000.8336.67180021200000080000
Statistiques d’équipe totales ou en moyenne81581840.9132.534834622042344023178080543


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Alex Barre-BouletSharks (S-J)C261997-05-21No180 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Alexey ToropchenkoSharks (S-J)LW/RW241999-06-25Yes222 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------Lien / Lien NHL
Carl GrundstromSharks (S-J)RW261997-12-01No201 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------Lien / Lien NHL
Christian FischerSharks (S-J)LW/RW271997-04-15No214 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No------------------Lien / Lien NHL
Denis GurianovSharks (S-J)RW261997-06-07No200 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Givani SmithSharks (S-J)LW/RW261998-02-27No210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No------------------Lien / Lien NHL
Jacob PetersonSharks (S-J)C/LW241999-07-19Yes180 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------Lien
Jaycob MegnaSharks (S-J)D311992-12-10No221 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No------------------Lien
Joel KivirantaSharks (S-J)LW281996-03-23No180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------Lien / Lien NHL
John MarinoSharks (S-J)D261997-05-21No181 Lbs6 ft2NoNoTrade2024-01-02NoYes4FalseFalsePro & Farm4,400,000$0$0$No4,400,000$4,400,000$4,400,000$------NoNoNo------Lien / Lien NHL
Josh MahuraSharks (S-J)D251998-05-05No186 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------Lien
Justin BraunSharks (S-J)D371987-02-10No205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------Lien
Kyle BurroughsSharks (S-J)D281995-07-12No193 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------Lien / Lien NHL
Landon BowSharks (S-J)G281995-08-24No210 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No------------------Lien
Lane PedersonSharks (S-J)C261997-08-04No190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------Lien
Magnus HellbergSharks (S-J)G331991-04-04No209 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No------------------Lien / Lien NHL
Matthew PhillipsSharks (S-J)LW/RW251998-11-16 16:02:06Yes160 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien / Lien NHL
Nathan WalkerSharks (S-J)LW/RW301994-02-07No186 Lbs5 ft9NoNoN/ANoNo3FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien / Lien NHL
Pius SuterSharks (S-J)C271996-05-24No174 Lbs5 ft11NoNoN/ANoYes3FalseFalsePro & Farm3,000,000$0$0$No3,000,000$3,000,000$-------NoNo-------Lien / Lien NHL
Riley SheahanSharks (S-J)C/LW321991-12-07No214 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No------------------Lien
Riley StillmanSharks (S-J)D261998-03-09No196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$0$0$No------------------Lien
Simon BenoitSharks (S-J)D251998-09-19No203 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------Lien / Lien NHL
Zack SmithSharks (S-J)C/LW361988-04-05No208 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,900,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2327.91197 Lbs6 ft21.961,221,739$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Christian FischerRiley SheahanDenis Gurianov40122
2Alexey ToropchenkoPius SuterCarl Grundstrom30122
3Nathan WalkerJacob PetersonMatthew Phillips20122
4Lane PedersonChristian Fischer10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1John MarinoJaycob Megna40122
2Justin BraunRiley Stillman30122
3Kyle Burroughs20122
4John MarinoJaycob Megna10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Christian FischerRiley SheahanDenis Gurianov60122
2Alexey ToropchenkoPius SuterCarl Grundstrom40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John MarinoJaycob Megna60122
2Justin BraunRiley Stillman40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Christian FischerRiley Sheahan60122
2Pius SuterDenis Gurianov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John MarinoJaycob Megna60122
2Justin BraunRiley Stillman40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Christian Fischer60122John MarinoJaycob Megna60122
2Riley Sheahan40122Justin BraunRiley Stillman40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Christian FischerRiley Sheahan60122
2Pius SuterDenis Gurianov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1John MarinoJaycob Megna60122
2Justin BraunRiley Stillman40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Christian FischerRiley SheahanDenis GurianovJohn MarinoJaycob Megna
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Christian FischerRiley SheahanDenis GurianovJohn MarinoJaycob Megna
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Walker, Jacob Peterson, Lane PedersonNathan Walker, Jacob PetersonLane Pederson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle Burroughs, , Justin BraunKyle Burroughs, Justin Braun
Tirs de pénalité
Christian Fischer, Riley Sheahan, Pius Suter, Denis Gurianov, Carl Grundstrom
Gardien
#1 : Magnus Hellberg, #2 : Landon Bow


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
1Avalanche3300000014410110000005232200000092761.000142741011039996912410791075102546631824837228.57%110100.00%01935317860.89%1539259659.28%764127260.06%215915661699534979513
2Black Hawks53000110281711320001001612421000010125790.900285179001039996923810791075102546134433613115533.33%15380.00%01935317860.89%1539259659.28%764127260.06%215915661699534979513
3Blue Jackets21100000642110000004131010000023-120.50061117001039996971107910751025465819206112325.00%10370.00%01935317860.89%1539259659.28%764127260.06%215915661699534979513
4Blues770000003415194400000021813330000001376141.0003462960010399969329107910751025462046248171341132.35%20385.00%01935317860.89%1539259659.28%764127260.06%215915661699534979513
5Bruins201000101011-1100000108711010000024-220.50010172700103999697310791075102546933130486233.33%14378.57%11935317860.89%1539259659.28%764127260.06%215915661699534979513
6Capitals21000001651110000004221000000123-130.75061016001039996910610791075102546571720457228.57%10370.00%01935317860.89%1539259659.28%764127260.06%215915661699534979513
7Coyotes41300000516-112110000059-42020000007-720.250591400103999691421079107510254611429309320210.00%11372.73%11935317860.89%1539259659.28%764127260.06%215915661699534979513
8Devils2020000069-31010000034-11010000035-200.0006121810103999697510791075102546651512526116.67%6266.67%01935317860.89%1539259659.28%764127260.06%215915661699534979513
9Flames40300100914-52010010058-32020000046-210.125916250010399969107107910751025461292840113700.00%17570.59%01935317860.89%1539259659.28%764127260.06%215915661699534979513
10Islanders2010100056-1100010003211010000024-220.500581310103999696510791075102546671510536116.67%5260.00%01935317860.89%1539259659.28%764127260.06%215915661699534979513
11Jets540000102510153300000013310210000101275101.000254368011039996925310791075102546144405212218738.89%25484.00%01935317860.89%1539259659.28%764127260.06%215915661699534979513
12Kings44000000188101100000032133000000156981.00018355300103999691491079107510254699283010017529.41%13561.54%01935317860.89%1539259659.28%764127260.06%215915661699534979513
13Knights320000101275100000104312200000084461.0001220320010399969113107910751025469825345712325.00%13192.31%01935317860.89%1539259659.28%764127260.06%215915661699534979513
14Kraken3020100057-21010000001-12010100056-120.33351015001039996996107910751025461173728591000.00%11190.91%01935317860.89%1539259659.28%764127260.06%215915661699534979513
15Lightning220000001165110000008441100000032141.00011193000103999696810791075102546742322609333.33%10370.00%01935317860.89%1539259659.28%764127260.06%215915661699534979513
16Maple Leafs211000006601010000024-21100000042220.500611170010399969771079107510254650818496116.67%8362.50%01935317860.89%1539259659.28%764127260.06%215915661699534979513
17Mighty Ducks321000001064220000007251010000034-140.667102030001039996910410791075102546842539963133.33%15286.67%01935317860.89%1539259659.28%764127260.06%215915661699534979513
18Oilers540001002111103200010012932200000092790.900213657001039996921610791075102546112394211820630.00%19573.68%21935317860.89%1539259659.28%764127260.06%215915661699534979513
19Panthers22000000927110000003121100000061541.000916250010399969831079107510254658136527228.57%30100.00%01935317860.89%1539259659.28%764127260.06%215915661699534979513
20Penguins211000005501010000024-21100000031220.5005101500103999698110791075102546531718591218.33%9277.78%01935317860.89%1539259659.28%764127260.06%215915661699534979513
21Predateurs33000000954220000006331100000032161.000916250010399969102107910751025468521269415533.33%12283.33%01935317860.89%1539259659.28%764127260.06%215915661699534979513
22Rangers2010100069-31010000037-41000100032120.5006101600103999697010791075102546612116679111.11%8187.50%01935317860.89%1539259659.28%764127260.06%215915661699534979513
23Red Wings220000001147110000005321100000061541.00011213200103999698410791075102546751518396233.33%9277.78%01935317860.89%1539259659.28%764127260.06%215915661699534979513
24Rockets2110000067-11010000013-21100000054120.5006111710103999699210791075102546551512576233.33%5180.00%01935317860.89%1539259659.28%764127260.06%215915661699534979513
25Sabres22000000633110000002111100000042241.0006111700103999697610791075102546562031367228.57%13376.92%01935317860.89%1539259659.28%764127260.06%215915661699534979513
26Senateurs220000001046110000005231100000052341.00010162600103999699510791075102546481264711545.45%110.00%01935317860.89%1539259659.28%764127260.06%215915661699534979513
27Stars330000001275110000004132200000086261.00012213300103999691191079107510254694242684400.00%11281.82%01935317860.89%1539259659.28%764127260.06%215915661699534979513
Total805118033413052089740268013201541084640251002021151100511200.7503055498543210399969320810791075102546234766069420462927525.68%3046578.62%41935317860.89%1539259659.28%764127260.06%215915661699534979513
_Since Last GM Reset805118033413052089740268013201541084640251002021151100511200.7503055498543210399969320810791075102546234766069420462927525.68%3046578.62%41935317860.89%1539259659.28%764127260.06%215915661699534979513
_Vs Conference5236901330202127752619300310101633826176010201016437830.7982023665680210399969209210791075102546147741945513211824725.82%1933681.35%31935317860.89%1539259659.28%764127260.06%215915661699534979513
_Vs Division291960032012672541712200300734330127400020532924450.77612622435001103999691245107910751025468082332447491093431.19%1082279.63%21935317860.89%1539259659.28%764127260.06%215915661699534979513

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
80120W130554985432082347660694204632
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8051183341305208
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
402681320154108
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4025102021151100
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2927525.68%3046578.62%4
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
1079107510254610399969
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
1935317860.89%1539259659.28%764127260.06%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
215915661699534979513


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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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
211Sharks3Blues2WSommaire du match
424Blues2Sharks5WSommaire du match
641Black Hawks5Sharks4LXSommaire du match
851Sharks2Flames3LSommaire du match
1065Sharks4Stars3WSommaire du match
1276Jets2Sharks6WSommaire du match
1490Sharks0Coyotes4LSommaire du match
15104Coyotes4Sharks5WSommaire du match
17117Sharks3Kings1WSommaire du match
18130Predateurs2Sharks3WSommaire du match
21146Blues1Sharks4WSommaire du match
23160Sharks4Oilers1WSommaire du match
25174Oilers4Sharks3LXSommaire du match
26188Sharks2Kraken1WXSommaire du match
28198Sharks4Kings2WSommaire du match
30213Flames3Sharks1LSommaire du match
32229Sabres1Sharks2WSommaire du match
34242Sharks3Penguins1WSommaire du match
36256Sharks2Bruins4LSommaire du match
38270Islanders2Sharks3WXSommaire du match
40286Blue Jackets1Sharks4WSommaire du match
42297Sharks5Oilers1WSommaire du match
44311Sharks4Sabres2WSommaire du match
46324Sharks2Blue Jackets3LSommaire du match
48334Predateurs1Sharks3WSommaire du match
50351Jets1Sharks4WSommaire du match
52370Kraken1Sharks0LSommaire du match
54385Flames5Sharks4LXSommaire du match
56398Sharks5Senateurs2WSommaire du match
58407Sharks6Panthers1WSommaire du match
61427Kings2Sharks3WSommaire du match
62438Sharks4Stars3WSommaire du match
64452Sharks2Islanders4LSommaire du match
66463Sharks3Rangers2WXSommaire du match
68474Avalanche2Sharks5WSommaire du match
70490Rockets3Sharks1LSommaire du match
73513Sharks4Maple Leafs2WSommaire du match
74523Red Wings3Sharks5WSommaire du match
76540Lightning4Sharks8WSommaire du match
79559Senateurs2Sharks5WSommaire du match
80569Sharks6Blues4WSommaire du match
82584Sharks0Coyotes3LSommaire du match
84595Sharks3Lightning2WSommaire du match
87611Coyotes5Sharks0LSommaire du match
88625Maple Leafs4Sharks2LSommaire du match
90638Sharks5Rockets4WSommaire du match
91651Sharks3Devils5LSommaire du match
93664Bruins7Sharks8WXXSommaire du match
95679Rangers7Sharks3LSommaire du match
98696Sharks3Knights1WSommaire du match
99707Penguins4Sharks2LSommaire du match
101721Sharks4Blues1WSommaire du match
102734Blues4Sharks7WSommaire du match
104745Sharks7Jets3WSommaire du match
106758Sharks6Red Wings1WSommaire du match
108775Capitals2Sharks4WSommaire du match
111792Sharks5Jets4WXXSommaire du match
113804Blues1Sharks5WSommaire du match
115820Mighty Ducks1Sharks4WSommaire du match
116830Sharks3Kraken5LSommaire du match
119845Sharks5Black Hawks4WXXSommaire du match
120857Devils4Sharks3LSommaire du match
123882Stars1Sharks4WSommaire du match
124888Sharks5Knights3WSommaire du match
126903Sharks2Capitals3LXXSommaire du match
128917Panthers1Sharks3WSommaire du match
130932Sharks5Avalanche2WSommaire du match
132941Jets0Sharks3WSommaire du match
135960Sharks4Avalanche0WSommaire du match
137971Knights3Sharks4WXXSommaire du match
138983Sharks8Kings3WSommaire du match
140993Sharks3Mighty Ducks4LSommaire du match
1421006Mighty Ducks1Sharks3WSommaire du match
1441023Sharks3Predateurs2WSommaire du match
1451032Oilers3Sharks6WSommaire du match
1471050Black Hawks5Sharks6WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1491061Sharks7Black Hawks1WSommaire du match
1511081Black Hawks2Sharks6WSommaire du match
1541103Sharks2Flames3LSommaire du match
1561113Oilers2Sharks3WSommaire du match
1601131Sharks-Flames-
1621146Coyotes-Sharks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,349,069$ 2,810,000$ 2,810,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,349,069$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 6 17,134$ 102,804$




Sharks Leaders statistiques des joueurs (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

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

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

Sharks Leaders statistiques des joueurs (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