Connexion

Sharks
GP: 28 | W: 14 | L: 10 | OTL: 4 | P: 32
GF: 106 | GA: 106 | PP%: 18.67% | PK%: 77.33%
DG: Marc-Andre Bois | Morale : 50 | Moyenne d’équipe : 57
Prochains matchs #418 vs Comets
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Sharks
14-10-4, 32pts
3
FINAL
6 Senators
15-7-2, 32pts
Team Stats
W1StreakW4
7-4-3Home Record9-4-0
7-6-1Away Record6-3-2
5-5-0Last 10 Games9-0-1
3.79Buts par match 4.00
3.79Buts contre par match 3.42
18.67%Pourcentage en avantage numérique21.74%
77.33%Pourcentage en désavantage numérique77.91%
Sharks
14-10-4, 32pts
3
FINAL
0 Crunch
13-9-3, 29pts
Team Stats
W1StreakL2
7-4-3Home Record8-6-1
7-6-1Away Record5-3-2
5-5-0Last 10 Games5-4-1
3.79Buts par match 3.16
3.79Buts contre par match 3.32
18.67%Pourcentage en avantage numérique14.49%
77.33%Pourcentage en désavantage numérique74.39%
Comets
13-12-1, 27pts
2022-12-07
Sharks
14-10-4, 32pts
Statistiques d’équipe
W1SéquenceW1
5-6-1Fiche domicile7-4-3
8-6-0Fiche visiteur7-6-1
5-5-010 derniers matchs5-5-0
3.31Buts par match 3.79
3.50Buts contre par match 3.79
18.42%Pourcentage en avantage numérique18.67%
72.29%Pourcentage en désavantage numérique77.33%
Sharks
14-10-4, 32pts
2022-12-09
Admirals
11-14-1, 23pts
Statistiques d’équipe
W1SéquenceL2
7-4-3Fiche domicile5-4-1
7-6-1Fiche visiteur6-10-0
5-5-010 derniers matchs3-7-0
3.79Buts par match 3.31
3.79Buts contre par match 3.31
18.67%Pourcentage en avantage numérique19.39%
77.33%Pourcentage en désavantage numérique77.38%
Jayhawks
16-6-1, 33pts
2022-12-13
Sharks
14-10-4, 32pts
Statistiques d’équipe
L1SéquenceW1
3-0-1Fiche domicile7-4-3
13-6-0Fiche visiteur7-6-1
5-5-010 derniers matchs5-5-0
3.35Buts par match 3.79
2.39Buts contre par match 3.79
29.27%Pourcentage en avantage numérique18.67%
81.82%Pourcentage en désavantage numérique77.33%
Meneurs d'équipe
Buts
Nolan Patrick
12
Passes
Nolan Patrick
23
Points
Nolan Patrick
35
Plus/Moins
Anttoni Honka
23
Victoires
Pheonix Copley
12
Pourcentage d’arrêts
Malcolm Subban
0.936

Statistiques d’équipe
Buts pour
106
3.79 GFG
Tirs pour
1216
43.43 Avg
Pourcentage en avantage numérique
18.7%
14 GF
Début de zone offensive
41.2%
Buts contre
106
3.79 GAA
Tirs contre
1195
42.68 Avg
Pourcentage en désavantage numérique
77.3%%
17 GA
Début de la zone défensive
40.7%
Informations de l'équipe

Directeur généralMarc-Andre Bois
DivisionAtlantique
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,868
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 50
Espoirs18


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 moyen
1Nolan PatrickXX100.00754491797359647272655864255454050620231750,000$
2Matthew PhillipsXX100.00645391635365656880646960664444050600231600,000$
3Samuel Fagemo (R)XX100.00736982706972756250546763644444050600212795,000$
4Tyler BensonX100.00814482677052676225535660254747050570231792,500$
5Michal Teply (R)XX100.00797196637159595950565865554444050570202825,833$
6Alex Turcotte (R)X100.00754391746759615652505563254444050560202925,000$
7Austin WagnerXX100.00636949626964675750476061575959050560241722,000$
8Otto SomppiX100.00777190677159605569594763454444050560231600,000$
9Josh WilkinsX100.00797398636662595268455167474444050550242925,002$
10Jordy BelleriveX100.00666958636965685468564858464444050550223733,333$
11Riley StillmanX100.008893807675676557255448782557570506502321,100,000$
12Cam DineenX100.006742956666686461255547782547470506202311,060,000$
13Reilly WalshX100.00756892676873785625524663444444050600222700,000$
14Wyatt KalynukX100.00696871726866695525494660444646050580243925,000$
15Helge Grans (R)X100.00827795607752525325464665444444050570194847,500$
16Anttoni Honka (R)X100.00453999686570954925513846405858050550204700,000$
17Brennan MenellX100.00676475706446464925434057384444050530241825,000$
Rayé
1Cooper MarodyXX100.00696772666771726880666663634444050620241750,000$
2Demetrios Koumontzis (R)X100.00474480646445583649323342365050050440213650,000$
3Henry Thrun (R)X100.00494599657158754525483447365454050530204650,000$
4Marshall Warren (R)X100.00423499665956773825373241345454050490204560,000$
5John St-Ivany (R)X100.00464188636442543225312743295454050460223650,000$
MOYENNE D’ÉQUIPE100.0067598567686066544451495942484805056
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 moyen
1Malcolm Subban100.0046486081459145509081455555050630271975,000$
2Pheonix Copley100.0058475982616061656363304646050600291777,777$
Rayé
MOYENNE D’ÉQUIPE100.005248608253765358777238515105062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Nolan PatrickSharks (San)C/RW261223351214039111155381087.74%1060023.0803315630113572155.64%67400001.1712000322
2Samuel FagemoSharks (San)LW/RW261218301124105350142511028.45%2054621.0211218680000253031.58%5700101.1001011220
3Matthew PhillipsSharks (San)C/RW2671926-460228512341965.69%951219.7215614590001240155.26%67500001.0111000200
4Cam DineenSharks (San)D2661622-812068506121469.84%5558522.521342370000057000.00%000000.7500000020
5Reilly WalshSharks (San)D263192213220632327151911.11%4748218.562461555000041000.00%100000.9100000104
6Michal TeplySharks (San)LW/RW2681422-4215573610820727.41%1147918.431451057000020039.47%3800000.9201001032
7Noah CatesSan JoseLW11137201220242690114214.44%826123.771015232026310139.05%10500121.5302000220
8Alex TurcotteSharks (San)C2691019-660505310932708.26%750419.392241557000002042.31%7800000.7500000112
9Tyler BensonSharks (San)LW2691019-5120274880267111.25%1043016.57112290003163133.33%3300000.8800000001
10Jordy BelleriveSharks (San)C2641519-18034436124396.56%1343316.68011010001260056.06%6600000.8800000110
11Otto SomppiSharks (San)C2661117-32023687319508.22%1441315.9002216000021256.85%48200000.8200000111
12Anttoni HonkaSharks (San)D2634723801310127825.00%1546017.70202546000034100.00%000000.3000000000
13Riley StillmanSharks (San)D5044-110016412570.00%1011422.810001018000013000.00%000000.7000000000
14Henry ThrunSharks (San)D1313412020441125.00%815511.941011100005000.00%000000.5200000000
15Marshall WarrenSharks (San)D13011-300731020.00%614711.3100001011014000.00%000000.1400000000
16John St-IvanySharks (San)D13000-220802030.00%10886.790000000002000.00%000000.00%00000000
17Helge GransSharks (San)D4000-52410826120.00%96917.4900038000012000.00%000000.00%00011000
Statistiques d’équipe totales ou en moyenne34593174267301752553261610663127388.72%262628418.221326391375502241436612653.28%220900220.8527023131412
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
1Pheonix CopleySharks (San)2012710.9173.28120921667950000.75082022111
2Malcolm SubbanSharks (San)21100.9362.50120005780000.00%020001
Statistiques d’équipe totales ou en moyenne2213810.9193.211329217187300082222112


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 moyen 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
Alex TurcotteSharks (San)C202001-02-25Yes185 Lbs5 ft11NoNoNo2Pro & Farm925,000$632,895$0$0$No925,000$Lien
Anttoni HonkaSharks (San)D202000-10-05Yes189 Lbs5 ft10NoNoNo4Pro & Farm700,000$478,947$0$0$No700,000$700,000$700,000$Lien
Austin WagnerSharks (San)LW/RW241997-06-23No185 Lbs6 ft1NoNoYes1Pro & Farm722,000$494,000$0$0$NoLien
Brennan MenellSharks (San)D241997-05-24No177 Lbs5 ft11NoNoYes1Pro & Farm825,000$564,474$0$0$NoLien
Cam DineenSharks (San)D231998-06-18No183 Lbs5 ft11NoNoNo1Pro & Farm1,060,000$725,263$0$0$NoLien
Cooper MarodySharks (San)C/RW241996-12-20No184 Lbs6 ft0NoNoYes1Pro & Farm750,000$513,158$0$0$NoLien
Demetrios KoumontzisSharks (San)LW212000-03-24Yes183 Lbs5 ft10NoNoNo3Pro & Farm650,000$444,737$0$0$No650,000$650,000$Lien
Helge GransSharks (San)D192002-05-10Yes205 Lbs6 ft3NoNoNo4Pro & Farm847,500$579,868$0$0$No847,500$847,500$847,500$Lien
Henry ThrunSharks (San)D202001-03-12Yes190 Lbs6 ft2NoNoNo4Pro & Farm650,000$444,737$0$0$No650,000$650,000$650,000$Lien
John St-IvanySharks (San)D221999-07-22Yes170 Lbs6 ft1NoNoNo3Pro & Farm650,000$444,737$0$0$No650,000$650,000$Lien
Jordy BelleriveSharks (San)C221999-05-02No195 Lbs5 ft10NoNoNo3Pro & Farm733,333$501,754$0$0$No733,333$733,333$Lien
Josh WilkinsSharks (San)C241997-06-11No181 Lbs5 ft11NoNoYes2Pro & Farm925,002$632,896$0$0$No925,002$Lien
Malcolm Subban (contrat à 1 volet)Sharks (San)G271993-12-21No215 Lbs6 ft2NoNoYes1Pro & Farm975,000$667,105$75,000$51,316$NoLien
Marshall WarrenSharks (San)D202001-04-20Yes163 Lbs5 ft11NoNoNo4Pro & Farm560,000$383,158$0$0$No560,000$560,000$560,000$Lien
Matthew PhillipsSharks (San)C/RW231998-04-06No150 Lbs5 ft7NoNoNo1Pro & Farm600,000$410,526$0$0$NoLien
Michal TeplySharks (San)LW/RW202001-05-27Yes187 Lbs6 ft3NoNoNo2Pro & Farm825,833$565,044$0$0$No825,833$Lien
Nolan PatrickSharks (San)C/RW231998-09-19No198 Lbs6 ft2NoNoNo1Pro & Farm750,000$513,158$0$0$NoLien
Otto SomppiSharks (San)C231998-01-12No190 Lbs6 ft1NoNoNo1Pro & Farm600,000$410,526$0$0$NoLien
Pheonix Copley (contrat à 1 volet)Sharks (San)G291992-01-18No198 Lbs6 ft4NoNoYes1Pro & Farm777,777$532,163$0$0$NoLien
Reilly WalshSharks (San)D221999-04-21No185 Lbs6 ft0NoNoNo2Pro & Farm700,000$478,947$0$0$No700,000$Lien
Riley StillmanSharks (San)D231998-03-09No196 Lbs6 ft1NoNoNo2Pro & Farm1,100,000$752,632$0$0$No1,100,000$Lien
Samuel FagemoSharks (San)LW/RW212000-03-14Yes190 Lbs5 ft11NoNoNo2Pro & Farm795,000$543,947$0$0$No795,000$Lien
Tyler BensonSharks (San)LW231998-03-15No192 Lbs6 ft0NoNoNo1Pro & Farm792,500$542,237$0$0$NoLien
Wyatt KalynukSharks (San)D241997-04-14No180 Lbs6 ft1NoNoYes3Pro & Farm925,000$632,895$0$0$No925,000$925,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2422.54186 Lbs6 ft02.08784,956$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nolan PatrickSamuel Fagemo40122
2Michal TeplyMatthew PhillipsAlex Turcotte30122
3Tyler BensonOtto SomppiJordy Bellerive20122
4Alex TurcotteNolan Patrick10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cam Dineen40122
2Reilly WalshAnttoni Honka30122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nolan PatrickSamuel Fagemo60122
2Michal TeplyMatthew PhillipsAlex Turcotte40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cam Dineen60122
2Reilly WalshAnttoni Honka40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nolan Patrick60122
2Samuel FagemoMatthew Phillips40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cam Dineen60122
2Reilly WalshAnttoni Honka40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Cam Dineen60122
2Nolan Patrick40122Reilly WalshAnttoni Honka40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nolan Patrick60122
2Samuel FagemoMatthew Phillips40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cam Dineen60122
2Reilly WalshAnttoni Honka40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nolan PatrickSamuel FagemoCam Dineen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nolan PatrickSamuel FagemoCam Dineen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Benson, Otto Somppi, Jordy BelleriveTyler Benson, Otto SomppiJordy Bellerive
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, Nolan Patrick, Samuel Fagemo, Matthew Phillips, Michal Teply
Gardien
#1 : , #2 : Pheonix Copley


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
1Admirals2110000089-12110000089-10000000000020.500816240050243035037840741127852021448337.50%8187.50%0546106151.46%508104848.47%25146853.63%669465667207361179
2Baby Hawks1000010023-11000010023-10000000000010.5002460050243033637840741127337918400.00%20100.00%0546106151.46%508104848.47%25146853.63%669465667207361179
3Cabaret Lady Mary Ann11000000835110000008350000000000021.000812200050243038437840741127366432100.00%20100.00%2546106151.46%508104848.47%25146853.63%669465667207361179
4Caroline10001000761100010007610000000000021.0007142100502430380378407411274316831000.00%40100.00%0546106151.46%508104848.47%25146853.63%669465667207361179
5Chiefs11000000523000000000001100000052321.00051015005024303383784074112743161219100.00%6266.67%0546106151.46%508104848.47%25146853.63%669465667207361179
6Chill20000200911-21000010045-11000010056-120.5009172600502430312937840741127150446562150.00%3166.67%0546106151.46%508104848.47%25146853.63%669465667207361179
7Comets1010000034-11010000034-10000000000000.000369005024303473784074112737116375120.00%3166.67%0546106151.46%508104848.47%25146853.63%669465667207361179
8Cougars1010000023-11010000023-10000000000000.000246005024303553784074112741142175120.00%110.00%0546106151.46%508104848.47%25146853.63%669465667207361179
9Crunch11000000303000000000001100000030321.000369015024303483784074112722124243133.33%20100.00%0546106151.46%508104848.47%25146853.63%669465667207361179
10Las Vegas21000010963100000105411100000042241.0009152400502430392378407411278324733700.00%10100.00%0546106151.46%508104848.47%25146853.63%669465667207361179
11Marlies210000019811000000145-11100000053230.75091827005024303743784074112791284535120.00%2150.00%0546106151.46%508104848.47%25146853.63%669465667207361179
12Minnesota11000000321000000000001100000032121.0003580050243033737840741127396222100.00%10100.00%0546106151.46%508104848.47%25146853.63%669465667207361179
13Monarchs11000000422110000004220000000000021.000481200502430350378407411273012619400.00%30100.00%0546106151.46%508104848.47%25146853.63%669465667207361179
14Phantoms1010000023-1000000000001010000023-100.00024600502430324378407411273591021000.00%5260.00%0546106151.46%508104848.47%25146853.63%669465667207361179
15Rocket11000000532000000000001100000053221.0005813005024303463784074112747139293266.67%10100.00%0546106151.46%508104848.47%25146853.63%669465667207361179
16Seattle1010000026-4000000000001010000026-400.0002460050243032837840741127502823200.00%4175.00%0546106151.46%508104848.47%25146853.63%669465667207361179
17Senators20200000410-61010000014-31010000036-300.0004711005024303703784074112777214504125.00%20100.00%0546106151.46%508104848.47%25146853.63%669465667207361179
18Sound Tigers1010000057-2000000000001010000057-200.000510150050243034037840741127531716315240.00%8450.00%0546106151.46%508104848.47%25146853.63%669465667207361179
19Spiders11000000422000000000001100000042221.000471100502430341378407411274310820500.00%40100.00%0546106151.46%508104848.47%25146853.63%669465667207361179
20Stars1010000014-3000000000001010000014-300.00012300502430332378407411274781219200.00%50100.00%0546106151.46%508104848.47%25146853.63%669465667207361179
21Thunder11000000321110000003210000000000021.0003690050243034037840741127349421000.00%2150.00%0546106151.46%508104848.47%25146853.63%669465667207361179
22Wolf Pack21100000810-2110000007341010000017-620.500815230050243037537840741127763227378112.50%6266.67%0546106151.46%508104848.47%25146853.63%669465667207361179
Total281210013111061060145401211585351476001004853-5320.5711061983040150243031216378407411271195337189656751418.67%751777.33%2546106151.46%508104848.47%25146853.63%669465667207361179
_Since Last GM Reset281210013111061060145401211585351476001004853-5320.5711061983040150243031216378407411271195337189656751418.67%751777.33%2546106151.46%508104848.47%25146853.63%669465667207361179
_Vs Conference1566002015664-88420010131301724001002534-9150.500561081640050243035933784074112767420210635241921.95%431272.09%0546106151.46%508104848.47%25146853.63%669465667207361179
_Vs Division92000201342955100010118171410001001612470.389346195015024303417378407411273481033122621628.57%12375.00%2546106151.46%508104848.47%25146853.63%669465667207361179

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2832W11061983041216119533718965601
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2812101311106106
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
145412115853
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
147601004853
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
751418.67%751777.33%2
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
378407411275024303
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
546106151.46%508104848.47%25146853.63%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
669465667207361179


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
4 - 2022-10-101Sharks5Chill6ALXSommaire du match
5 - 2022-10-112Chill5Sharks4BLXSommaire du match
8 - 2022-10-1424Caroline6Sharks7BWXSommaire du match
9 - 2022-10-1538Baby Hawks3Sharks2BLXSommaire du match
12 - 2022-10-1851Sharks5Sound Tigers7ALSommaire du match
14 - 2022-10-2064Sharks1Wolf Pack7ALSommaire du match
16 - 2022-10-2275Sharks4Spiders2AWSommaire du match
17 - 2022-10-2391Sharks2Phantoms3ALSommaire du match
19 - 2022-10-25107Las Vegas4Sharks5BWXXSommaire du match
21 - 2022-10-27119Marlies5Sharks4BLXXSommaire du match
23 - 2022-10-29128Thunder2Sharks3BWSommaire du match
26 - 2022-11-01158Admirals5Sharks3BLSommaire du match
28 - 2022-11-03173Cabaret Lady Mary Ann3Sharks8BWSommaire du match
30 - 2022-11-05188Admirals4Sharks5BWSommaire du match
35 - 2022-11-10218Sharks5Chiefs2AWSommaire du match
36 - 2022-11-11223Sharks1Stars4ALSommaire du match
38 - 2022-11-13239Sharks3Minnesota2AWSommaire du match
40 - 2022-11-15256Sharks4Las Vegas2AWSommaire du match
42 - 2022-11-17272Cougars3Sharks2BLSommaire du match
44 - 2022-11-19288Wolf Pack3Sharks7BWSommaire du match
46 - 2022-11-21299Senators4Sharks1BLSommaire du match
48 - 2022-11-23316Sharks2Seattle6ALSommaire du match
50 - 2022-11-25331Monarchs2Sharks4BWSommaire du match
52 - 2022-11-27344Comets4Sharks3BLSommaire du match
54 - 2022-11-29354Sharks5Rocket3AWSommaire du match
55 - 2022-11-30363Sharks5Marlies3AWSommaire du match
58 - 2022-12-03383Sharks3Senators6ALSommaire du match
59 - 2022-12-04395Sharks3Crunch0AWSommaire du match
62 - 2022-12-07418Comets-Sharks-
64 - 2022-12-09433Sharks-Admirals-
68 - 2022-12-13465Jayhawks-Sharks-
72 - 2022-12-17496Sharks-Monarchs-
73 - 2022-12-18501Heat-Sharks-
75 - 2022-12-20517Heat-Sharks-
77 - 2022-12-22532Minnesota-Sharks-
82 - 2022-12-27556Sharks-Comets-
84 - 2022-12-29573Phantoms-Sharks-
86 - 2022-12-31586Sharks-Stars-
87 - 2023-01-01592Sharks-Baby Hawks-
92 - 2023-01-06627Sharks-Admirals-
93 - 2023-01-07636Bruins-Sharks-
96 - 2023-01-10657Sharks-Jayhawks-
97 - 2023-01-11661Sharks-Monarchs-
99 - 2023-01-13676Oil Kings-Sharks-
102 - 2023-01-16697Spiders-Sharks-
104 - 2023-01-18716Stars-Sharks-
107 - 2023-01-21736Sharks-Monsters-
108 - 2023-01-22748Sharks-Bruins-
110 - 2023-01-24760Sharks-Cougars-
113 - 2023-01-27783Sharks-Caroline-
114 - 2023-01-28793Sharks-Manchots-
124 - 2023-02-07814Sharks-Thunder-
126 - 2023-02-09823Sharks-Cabaret Lady Mary Ann-
129 - 2023-02-12847Sharks-Bears-
131 - 2023-02-14863Manchots-Sharks-
133 - 2023-02-16877Sharks-Las Vegas-
135 - 2023-02-18893Crunch-Sharks-
137 - 2023-02-20904Seattle-Sharks-
140 - 2023-02-23929Chill-Sharks-
142 - 2023-02-25946Baby Hawks-Sharks-
145 - 2023-02-28967Rocket-Sharks-
147 - 2023-03-02983Chiefs-Sharks-
149 - 2023-03-04992Bears-Sharks-
151 - 2023-03-061006Sharks-Oceanics-
152 - 2023-03-071019Sharks-Monsters-
154 - 2023-03-091032Sharks-Chiefs-
156 - 2023-03-111051Minnesota-Sharks-
159 - 2023-03-141074Monsters-Sharks-
161 - 2023-03-161090Seattle-Sharks-
163 - 2023-03-181107Sound Tigers-Sharks-
165 - 2023-03-201118Sharks-Oil Kings-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
168 - 2023-03-231145Sharks-Comets-
170 - 2023-03-251154Sharks-Heat-
173 - 2023-03-281185Oceanics-Sharks-
175 - 2023-03-301199Las Vegas-Sharks-
177 - 2023-04-011215Sharks-Jayhawks-
180 - 2023-04-041239Monsters-Sharks-
182 - 2023-04-061256Monsters-Sharks-
184 - 2023-04-081259Oil Kings-Sharks-
186 - 2023-04-101275Sharks-Oceanics-
188 - 2023-04-121297Sharks-Heat-
189 - 2023-04-131308Sharks-Oil Kings-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité17501250
Prix des billets5020
Assistance14,79311,355
Assistance PCT60.38%64.89%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
27 1868 - 62.26% 69,054$966,750$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
535,173$ 1,708,616$ 1,708,616$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,993$ 535,173$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,864,446$ 130 8,993$ 1,169,090$




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

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 (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