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Centre de jeu
Sharks
0-4-1, 1pts
2
FINAL
3 Avalanche
2-4-0, 4pts
Team Stats
L1StreakL1
0-2-0Home Record2-0-0
0-2-1Away Record0-4-0
0-4-1Last 10 Games2-4-0
1.80Goals Per Game2.33
3.40Goals Against Per Game3.33
10.00%Power Play Percentage8.00%
88.46%Penalty Kill Percentage88.00%
Sharks
0-4-1, 1pts
4
FINAL
5 Ducks
2-1-1, 5pts
Team Stats
L1StreakW1
0-2-0Home Record2-0-1
0-2-1Away Record0-1-0
0-4-1Last 10 Games2-1-1
1.80Goals Per Game3.25
3.40Goals Against Per Game3.75
10.00%Power Play Percentage11.76%
88.46%Penalty Kill Percentage88.24%
Hurricanes
4-0-1, 9pts
Jour 11
Sharks
0-4-1, 1pts
Stats Équipe
OTL1SéquenceL1
2-0-1Fiche domicile0-2-0
2-0-0Fiche visiteur0-2-1
4-0-110 derniers matchs0-4-1
4.60Buts par match 1.80
2.40Buts contre par match 3.40
18.75%Pourcentage en avantage numérique10.00%
94.74%Pourcentage en désavantage numérique88.46%
Sabres
3-2-0, 6pts
Jour 13
Sharks
0-4-1, 1pts
Stats Équipe
L1SéquenceL1
3-0-0Fiche domicile0-2-0
0-2-0Fiche visiteur0-2-1
3-2-010 derniers matchs0-4-1
3.60Buts par match 1.80
3.40Buts contre par match 3.40
25.00%Pourcentage en avantage numérique10.00%
88.24%Pourcentage en désavantage numérique88.46%
Rangers
2-1-1, 5pts
Jour 16
Sharks
0-4-1, 1pts
Stats Équipe
OTL1SéquenceL1
1-1-0Fiche domicile0-2-0
1-0-1Fiche visiteur0-2-1
2-1-110 derniers matchs0-4-1
4.75Buts par match 1.80
4.25Buts contre par match 3.40
38.46%Pourcentage en avantage numérique10.00%
81.82%Pourcentage en désavantage numérique88.46%
Meneurs d'équipe
Pavel ZachaButs
Pavel Zacha
2
Connor BrownPasses
Connor Brown
4
Connor BrownPoints
Connor Brown
4
Pavel ZachaPlus/Moins
Pavel Zacha
1
Joonas KorpisaloVictoires
Joonas Korpisalo
0
Joonas KorpisaloPourcentage d’arrêts
Joonas Korpisalo
0.893

Stats Équipe
Buts pour
9
1.80 GFG
Tirs pour
163
32.60 Avg
Pourcentage en avantage numérique
10.0%
2 GF
Début de zone offensive
45.7%
Buts contre
17
3.40 GAA
Tirs contre
159
31.80 Avg
Pourcentage en désavantage numérique
88.5%
3 GA
Début de la zone défensive
40.3%
Blessure/Suspension
Pas de blessure ou de suspension.
Information d’équipe
Directeur généralAlexandre Loignon
EntraîneurDrew Bannister
DivisionPacific
ConférenceWestern
CapitaineAnders Lee
Assistant #1Pavel Zacha
Assistant #2Filip Hronek
Uniformes
Informations de l’aréna
NomWest Coast Arena
Capacité25,000
Assistance19,271
Billets de saison10,000
Information formation
Équipe Pro21
Équipe Mineure28
Limite contact 49 / 50
Espoirs37
Plafond salarial
Cap Salarial de la Saison estimé56,975,040$
Plafond salarial disponible33,024,960$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21
Finance
Revenu annuel à ce jour3,371,200$
Dépenses annuelles à ce jour3,443,060$
Revenus de la saison estimés67,424,000$
Dépenses de la saison estimées58,532,020$
Compte bancaire actuel14,218,628$
Compte bancaire projeté20,674,783$
Historique d'équipe
Saison actuelle0-4-1 (1PTS)
Historique702-881-141 (0.407%)
Apparitions séries éliminatoires 4
Historique séries éliminatoires (W-L)7-16
Stanley Cup0


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
1Pavel Zacha (A)X100.0059558386758396798877826750828345167502935,500,000$
2Anders Lee (C)X100.0066707979848199668963696840968910147003623,200,000$
3Connor BrownX100.0048448486538494694067708140888630167003231$
4Fabian ZetterlundX100.0084498682637699624056676780787755166702744,000,000$
5Jakob PelletierX100.006238849143726275407066704074736516670251950,000$
6Brett HowdenX100.0080547680667983618554676640808050166602823,000,000$
7Patrik LaineX100.0052548583736050714061826285807050166602844,000,000$
8Ryan StromeX100.0050517781597779628161636361908425166503345,100,000$
9Matej BlumelX100.004844838162675762406460709976726016640261920,000$
10Mikael PyyhtiaX100.005242838249685859405959709974716516620252575,000$
11Ryan ReavesX100.00997775757867774740405563409983016610392900,000$
12Florian Xhekaj (R)X100.007676337571736344703552707368718016580222925,000$
13Filip Hronek (A)X100.0078488287569299724081628140828745167602957,000,000$
14Kevin BahlX100.0075647875888695564055568340768160167302662,000,000$
15Adam LarssonX100.0071538077718599594058618240928920167303414,500,000$
16Ty EmbersonX100.0075508477587692524051537440767660166702611,380,000$
17Maxwell CrozierX100.006664677769776757406154764076776016670262950,000$
18Alex Kannok-LeipertX100.006058747564686336403834704076726016600262575,000$
Rayé
Équipe Mineure
1Ross JohnstonX100.009993557587718554405554634088803016640322950,000$
2Austin PoganskiX100.007461857772796958405957609984824016630303900,000$
3Logan ShawX100.005553787576817156405556644092872016620342900,000$
4Sheldon DriesX100.007150858246665657705263704088773016620323900,000$
5Lane PedersonX100.009961767863726256705360554082774514610293900,000$
6Akil ThomasX100.007955827559605048404749549976686016560263900,000$
7Ty Mueller (R)X100.005745807660706050704852504070707516560233900,000$
8Antonio StrangesX100.004038877552796945404346504072767016540242900,000$
9Reece NewkirkX100.0062745975516050364042306340746765165102511,200,000$
10Kalan Lind (R)X100.005051468948605038402946564066638516510213925,000$
11Stelio MattheosX100.006851697563605037403638504078695516500272575,000$
12Maxim GolodX100.005769837552605034403435504076686016490262575,000$
13Declan ChisholmX100.005051877866726157405955644076746016620263950,000$
14Damien Carfagna (R)X100.004536838854706541403943704072717016610243900,000$
15Alex Gagne (R)X100.006955727782625735403732704072677016600243900,000$
16Trey Taylor (R)X100.005443808465746943404144584072737016600243900,000$
17David JiricekX100.0047537875717061454040506440707075165902341,500,000$
18Ryan JohnsonX100.004548767561605541404141504074676516540251850,000$
19Albin GreweX100.005960797549605032403530504074676520480252575,000$
20Sawyer Boulton (R)X100.007177407564605028402530594068648020480222575,000$
21Stian Solberg (R)X100.0073516175687570424034515040667185205702141,500,000$
22Cameron CrottyX100.0068567875735550354032385640786755205602711,200,000$
23Michael KrutilX100.007952847569555031403230544072647020550242575,000$
24Joey KeaneX100.006061777556555038403936504078675520540272575,000$
25Charlie Wright (R)X100.005843887557555027402233594070637520530232575,000$
MOYENNE D’ÉQUIPE100.00655576796470675047485163497874551761
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
1Joonas Korpisalo97.008268689382797981807988888430187903212,500,000$
2Cameron Talbot100.00867169927773747273758499860187703913,500,000$
Rayé
1Kaapo Kahkonen100.008166719450505050505040846740206103025,500,000$
Équipe Mineure
1Jaxson Stauber100.00756468855050505050506078645517580271850,000$
2Stanislav Berezhnoy (R)100.00705060975050505050504070607517570233900,000$
3Callum Tung (R)100.00705060915050505050504070607520570233900,000$
MOYENNE D’ÉQUIPE99.5077626692605959595959598270461865
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Drew Bannister62565354877766CAN5235,000,000$


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
1Connor BrownSharksRW504412019227190.00%111222.4901110150000250036.36%1100000.7100000001
2Adam LarssonSharksD5033-2801057280.00%512124.27011517000018000.00%000000.4900000000
3Filip HronekSharksD5112-3001112123128.33%1312825.64000816000022000.00%000000.3100000100
4Pavel ZachaSharksC520214012131351715.38%09218.53101615000020055.15%13600000.4300000000
5Kevin BahlSharksD5112-3604713377.69%911122.31000615000120000.00%000000.3600000000
6Jakob PelletierSharksRW5202-30038213139.52%39519.071015170000160066.67%300000.4200000000
7Ty EmbersonSharksD5022-31001018360.00%29218.5700051500000000.00%000000.4300000000
8Matej BlumelSharksLW5112-2000477814.29%15310.7000000000000050.00%600000.7500000000
9Anders LeeSharksC5011-311531693130.00%010220.560113160000220057.24%15200000.1900010000
10Patrik LaineSharksLW510100085113129.09%08917.90000015000000020.00%500000.2200000100
11Maxwell CrozierSharksD5101-12010665216.67%87815.6500000000018000.00%000000.2600000000
12Mikael PyyhtiaSharksLW5011-200006120.00%1316.3300000000000050.00%200000.6300000000
13Florian XhekajSharksRW5011-220312110.00%0316.3200000000000075.00%400000.6300000000
14Alex Kannok-LeipertSharksD5000-1100122000.00%16913.940000000006000.00%000000.0000000000
15Fabian ZetterlundSharksLW5000-3008395120.00%08416.9800001700013000.00%900000.0000000000
16Brett HowdenSharksC5000-3003613260.00%17414.95000000001200053.75%8000000.0000000000
17Ryan ReavesSharksRW5000-260811110.00%05310.6800000000000060.00%500000.0000000000
18Ryan StromeSharksC5000-200041030.00%0316.3300000000000052.78%3600000.0000000000
Statistiques d’équipe totales ou en moyenne9091524-3361595103163541425.52%45145616.182354816200031780053.67%44900000.3300010201
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
1Joonas KorpisaloSharks50410.8933.3830200171590000.000050000
Statistiques d’équipe totales ou en moyenne50410.8933.3830200171590000.000050000


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 2040 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2041 204220432044204520462047Salaire annuel 9Salaire annuel 10Link
Adam LarssonSharksD341992-11-12No207 Lbs6 ft3NoNoYes1Pro & Farm4,500,000$4,500,000$4,250,000$No
UFA
Lien / Lien NHL
Alex Kannok-LeipertSharksD262000-07-20No205 Lbs6 ft0NoNoNo2Pro & Farm575,000$575,000$543,056$No575,000$
UFA
Lien / Lien NHL
Anders LeeSharksC361990-07-03No234 Lbs6 ft3YesNoYes2Pro & Farm3,200,000$3,200,000$3,022,222$No3,200,000$
UFA
Lien / Lien NHL
Brett HowdenSharksC281998-03-29No201 Lbs6 ft2NoNoYes2Pro & Farm3,000,000$3,000,000$2,833,333$No3,000,000$
UFA
Lien / Lien NHL
Cameron TalbotSharksG391987-07-05No200 Lbs6 ft3NoNoYes1Pro & Farm3,500,000$3,500,000$3,305,556$No
UFA
Lien / Lien NHL
Connor BrownSharksRW321994-01-14No184 Lbs6 ft0YesNoYes3Pro & Farm1$1$1$No4,000,000$4,000,000$
UFA
Lien / Lien NHL
Fabian ZetterlundSharksLW271999-08-25No208 Lbs5 ft11NoNoYes4Pro & Farm4,000,000$4,000,000$3,777,778$No4,000,000$4,000,000$4,000,000$
UFA
Lien / Lien NHL
Filip HronekSharksD291997-11-02No190 Lbs6 ft0NoNoYes5Pro Only7,000,000$7,000,000$6,611,111$No7,000,000$7,000,000$7,000,000$7,000,000$
UFA
Lien / Lien NHL
Florian XhekajSharksRW222004-06-27Yes204 Lbs6 ft4NoNoNo2Pro & Farm925,000$925,000$873,611$No925,000$
RFA
Lien / Lien NHL
Jakob PelletierSharksRW252001-03-07No172 Lbs5 ft10NoNoNo1Pro & Farm950,000$950,000$897,222$No
RFA
Lien / Lien NHL
Joonas KorpisaloSharksG321994-04-28No182 Lbs6 ft3NoNoYes1Pro & Farm2,500,000$2,500,000$2,361,111$No
UFA
Lien / Lien NHL
Kaapo KahkonenSharksG301996-08-16No214 Lbs6 ft2NoNoYes2Pro Only5,500,000$5,500,000$5,194,444$No5,500,000$
UFA
Lien / Lien NHL
Kevin BahlSharksD262000-06-27No230 Lbs6 ft6NoNoNo6Pro & Farm2,000,000$2,000,000$1,888,889$No2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$
UFA
Lien / Lien NHL
Matej BlumelSharksLW262000-05-31No202 Lbs6 ft0NoNoNo1Pro & Farm920,000$920,000$868,889$No
RFA
Lien / Lien NHL
Maxwell CrozierSharksD262000-04-19No204 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$897,222$No950,000$
UFA
Lien / Lien NHL
Mikael PyyhtiaSharksLW252001-12-17No176 Lbs6 ft0NoNoNo2Pro & Farm575,000$575,000$543,056$No575,000$
RFA
Lien / Lien NHL
Patrik LaineSharksLW281998-04-19No208 Lbs6 ft4NoNoYes4Pro & Farm4,000,000$4,000,000$3,777,778$No4,000,000$4,000,000$4,000,000$
UFA
Lien / Lien NHL
Pavel ZachaSharksC291997-04-06No211 Lbs6 ft4NoNoYes3Pro Only5,500,000$5,500,000$5,194,444$No5,500,000$5,500,000$
UFA
Lien / Lien NHL
Ryan ReavesSharksRW391987-01-20No225 Lbs6 ft2NoNoNo2Pro & Farm900,000$900,000$850,000$No900,000$
UFA
Lien / Lien NHL
Ryan StromeSharksC331993-07-11No192 Lbs6 ft1NoNoYes4Pro Only5,100,000$5,100,000$4,816,667$No5,100,000$5,100,000$5,100,000$
UFA
Lien / Lien NHL
Ty EmbersonSharksD262000-05-23No193 Lbs6 ft0NoNoNo1Pro & Farm1,380,000$1,380,000$1,303,333$No
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2129.43202 Lbs6 ft22.432,713,095$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
56,975,001$47,225,000$31,600,000$22,100,000$9,000,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Patrik LainePavel ZachaConnor Brown40113
2Fabian ZetterlundAnders LeeJakob Pelletier34113
3Matej BlumelBrett HowdenRyan Reaves18122
4Mikael PyyhtiaRyan StromeFlorian Xhekaj8122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip HronekAdam Larsson40122
2Kevin BahlTy Emberson34122
3Maxwell CrozierAlex Kannok-Leipert19131
4Filip HronekAdam Larsson7122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Patrik LainePavel ZachaConnor Brown58104
2Fabian ZetterlundAnders LeeJakob Pelletier42104
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip HronekAdam Larsson60104
2Kevin BahlTy Emberson40104
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Anders LeeConnor Brown55140
2Brett HowdenJakob Pelletier45140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlAdam Larsson55140
2Filip HronekMaxwell Crozier45140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Connor Brown60140Kevin BahlAdam Larsson56140
2Jakob Pelletier40140Filip HronekMaxwell Crozier44140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Pavel ZachaPatrik Laine57113
2Anders LeeConnor Brown43122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip HronekAdam Larsson60122
2Kevin BahlTy Emberson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fabian ZetterlundPavel ZachaConnor BrownFilip HronekAdam Larsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fabian ZetterlundPavel ZachaConnor BrownFilip HronekAdam Larsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Pavel Zacha, Fabian Zetterlund, Connor BrownPatrik Laine, Pavel ZachaConnor Brown
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Filip Hronek, Adam Larsson, Kevin BahlFilip HronekAdam Larsson, Kevin Bahl
Tirs de pénalité
Pavel Zacha, Connor Brown, Anders Lee, Jakob Pelletier, Fabian Zetterlund
Gardien
#1 : Joonas Korpisalo, #2 : Cameron Talbot


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
1Avalanche1000010023-1000000000001000010023-110.500246000110399161132786287114.29%20100.00%011520256.93%9217851.69%346254.84%2619237126
2Blackhawks1010000003-31010000003-30000000000000.000000000000318111203041219000.00%60100.00%011520256.93%9217851.69%346254.84%2115267125
3Ducks1010000045-1000000000001010000045-100.00047110022003411158041111918500.00%7271.43%011520256.93%9217851.69%346254.84%2315237136
4Jets1010000013-21010000013-20000000000000.0001120010003012117026128215120.00%40100.00%011520256.93%9217851.69%346254.84%2215257126
5Kings1010000023-1000000000001010000023-100.00023500200029155903510169300.00%7185.71%011520256.93%9217851.69%346254.84%2316248115
Total50400100917-82020000016-530200100811-310.10091524005310163555847315945619520210.00%26388.46%011520256.93%9217851.69%346254.84%11781123386129
_Since Last GM Reset50400100917-82020000016-530200100811-310.10091524005310163555847315945619520210.00%26388.46%011520256.93%9217851.69%346254.84%11781123386129
_Vs Conference50400100917-82020000016-530200100811-310.10091524005310163555847315945619520210.00%26388.46%011520256.93%9217851.69%346254.84%11781123386129
_Vs Division2020000068-2000000000002020000068-200.0006101600420063262017076213527800.00%14378.57%011520256.93%9217851.69%346254.84%463148152411

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
51L19152416315945619500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5040100917
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000016
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3020100811
Derniers 10 matchs
WLOTWOTL SOWSOL
040100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
20210.00%26388.46%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
55584735310
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
11520256.93%9217851.69%346254.84%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11781123386129


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
19Jets3Sharks1BLSommaire du match
432Blackhawks3Sharks0BLSommaire du match
640Sharks2Kings3ALSommaire du match
861Sharks2Avalanche3ALXSommaire du match
966Sharks4Ducks5ALSommaire du match
1185Hurricanes-Sharks-
13100Sabres-Sharks-
16123Rangers-Sharks-
17125Sharks-Stars-
20151Sharks-Mammoth-
22166Canucks-Sharks-
27190Blues-Sharks-
29211Sharks-Blues-
31225Stars-Sharks-
33239Sharks-Kings-
34253Kings-Sharks-
38280Blues-Sharks-
41304Sharks-Blackhawks-
42312Canadiens-Sharks-
45335Sharks-Blues-
46344Avalanche-Sharks-
49367Sharks-Jets-
50373Penguins-Sharks-
52395Hurricanes-Sharks-
54409Sharks-Sabres-
56422Sharks-Rangers-
58435Senators-Sharks-
60455Sharks-RedWings-
62466Stars-Sharks-
66491Sharks-Wild-
67498Rangers-Sharks-
69520Sharks-MapleLeafs-
71533Mammoth-Sharks-
73549Sharks-Mammoth-
74560Lightning-Sharks-
77582Sharks-Flames-
79591Blackhawks-Sharks-
81602Sharks-Ducks-
83620Sharks-Wild-
85629Canucks-Sharks-
87649Sharks-Islanders-
89659Sharks-Predators-
90667Flyers-Sharks-
93687Flames-Sharks-
95709Sharks-Panthers-
97720Oilers-Sharks-
98737Sharks-Kings-
100751Ducks-Sharks-
103774Sharks-Devils-
104783Jets-Sharks-
107807Sharks-Predators-
108812RedWings-Sharks-
111828Sharks-Capitals-
113844Predators-Sharks-
115859Sharks-BlueJackets-
117874Islanders-Sharks-
119890Sharks-Flyers-
121906Flames-Sharks-
125932Kings-Sharks-
127947Sharks-Senators-
129963Sabres-Sharks-
132982Sharks-Oilers-
133995Sharks-GoldenKnights-
1351009Devils-Sharks-
1371028Capitals-Sharks-
1391042Sharks-Canucks-
1411059Panthers-Sharks-
1431075Sharks-Lightning-
1441087Sharks-Rangers-
1461095Bruins-Sharks-
1501120Jets-Sharks-
1531138Sharks-Avalanche-
1541151BlueJackets-Sharks-
1561163Sharks-Oilers-
1581172Sharks-Ducks-
1601187MapleLeafs-Sharks-
1631210Wild-Sharks-
1651220Sharks-Stars-
1681236Sharks-Bruins-
1701245GoldenKnights-Sharks-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1721262Sharks-Penguins-
1751274Sharks-Hurricanes-
1761282GoldenKnights-Sharks-
1771286Sharks-Canadiens-


Charte de profondeur
Ailier gaucheCentreAilier droit
Fabian Zetterlund
Fabian Zetterlund
AGE:27
SK:82
EN:76
DU:99
PH:62
PA:56
SC:67
DF:67
Patrik Laine
Patrik Laine
AGE:28
SK:83
EN:60
DU:50
PH:71
PA:61
SC:82
DF:62
Matej Blumel
Matej Blumel
AGE:26
SK:81
EN:67
DU:57
PH:62
PA:64
SC:60
DF:70
Ross Johnston
Ross Johnston
AGE:32
SK:75
EN:71
DU:85
PH:54
PA:55
SC:54
DF:63
Mikael Pyyhtia
Mikael Pyyhtia
AGE:25
SK:82
EN:68
DU:58
PH:59
PA:59
SC:59
DF:70
Logan Shaw
Logan Shaw
AGE:34
SK:75
EN:81
DU:71
PH:56
PA:55
SC:56
DF:64
Antonio Stranges
Antonio Stranges
AGE:24
SK:75
EN:79
DU:69
PH:45
PA:43
SC:46
DF:50
Kalan Lind (R)
Kalan Lind
AGE:21
SK:89
EN:60
DU:50
PH:38
PA:29
SC:46
DF:56
Reece Newkirk
Reece Newkirk
AGE:25
SK:75
EN:60
DU:50
PH:36
PA:42
SC:30
DF:63
Maxim Golod
Maxim Golod
AGE:26
SK:75
EN:60
DU:50
PH:34
PA:34
SC:35
DF:50
Sawyer Boulton (R)
Sawyer Boulton
AGE:22
SK:75
EN:60
DU:50
PH:28
PA:25
SC:30
DF:59
Albin Grewe
Albin Grewe
AGE:25
SK:75
EN:60
DU:50
PH:32
PA:35
SC:30
DF:50
Pavel Zacha
Pavel Zacha
AGE:29
SK:86
EN:83
DU:96
PH:79
PA:77
SC:82
DF:67
Anders Lee
Anders Lee
AGE:36
SK:79
EN:81
DU:99
PH:66
PA:63
SC:69
DF:68
Brett Howden
Brett Howden
AGE:28
SK:80
EN:79
DU:83
PH:61
PA:54
SC:67
DF:66
Ryan Strome
Ryan Strome
AGE:33
SK:81
EN:77
DU:79
PH:62
PA:61
SC:63
DF:63
Sheldon Dries
Sheldon Dries
AGE:32
SK:82
EN:66
DU:56
PH:57
PA:52
SC:63
DF:70
Lane Pederson
Lane Pederson
AGE:29
SK:78
EN:72
DU:62
PH:56
PA:53
SC:60
DF:55
Ty Mueller (R)
Ty Mueller
AGE:23
SK:76
EN:70
DU:60
PH:50
PA:48
SC:52
DF:50
Akil Thomas
Akil Thomas
AGE:26
SK:75
EN:60
DU:50
PH:48
PA:47
SC:49
DF:54
Connor Brown
Connor Brown
AGE:32
SK:86
EN:84
DU:94
PH:69
PA:67
SC:70
DF:81
Jakob Pelletier
Jakob Pelletier
AGE:25
SK:91
EN:72
DU:62
PH:75
PA:70
SC:66
DF:70
Austin Poganski
Austin Poganski
AGE:30
SK:77
EN:79
DU:69
PH:58
PA:59
SC:57
DF:60
Ryan Reaves
Ryan Reaves
AGE:39
SK:75
EN:67
DU:77
PH:47
PA:40
SC:55
DF:63
Florian Xhekaj (R)
Florian Xhekaj
AGE:22
SK:75
EN:73
DU:63
PH:44
PA:35
SC:52
DF:70
Stelio Mattheos
Stelio Mattheos
AGE:27
SK:75
EN:60
DU:50
PH:37
PA:36
SC:38
DF:50

Défense #1Défense #2Gardien
Filip Hronek
Filip Hronek
AGE:29
SK:87
EN:92
DU:99
PH:72
PA:81
SC:62
DF:81
Kevin Bahl
Kevin Bahl
AGE:26
SK:75
EN:86
DU:95
PH:56
PA:55
SC:56
DF:83
Adam Larsson
Adam Larsson
AGE:34
SK:77
EN:85
DU:99
PH:59
PA:58
SC:61
DF:82
Ty Emberson
Ty Emberson
AGE:26
SK:77
EN:76
DU:92
PH:52
PA:51
SC:53
DF:74
Maxwell Crozier
Maxwell Crozier
AGE:26
SK:77
EN:77
DU:67
PH:57
PA:61
SC:54
DF:76
Declan Chisholm
Declan Chisholm
AGE:26
SK:78
EN:72
DU:61
PH:57
PA:59
SC:55
DF:64
Damien Carfagna (R)
Damien Carfagna
AGE:24
SK:88
EN:70
DU:65
PH:41
PA:39
SC:43
DF:70
Alex Gagne (R)
Alex Gagne
AGE:24
SK:77
EN:62
DU:57
PH:35
PA:37
SC:32
DF:70
Trey Taylor (R)
Trey Taylor
AGE:24
SK:84
EN:74
DU:69
PH:43
PA:41
SC:44
DF:58
Alex Kannok-Leipert
Alex Kannok-Leipert
AGE:26
SK:75
EN:68
DU:63
PH:36
PA:38
SC:34
DF:70
David Jiricek
David Jiricek
AGE:23
SK:75
EN:70
DU:61
PH:45
PA:40
SC:50
DF:64
Stian Solberg (R)
Stian Solberg
AGE:21
SK:75
EN:75
DU:70
PH:42
PA:34
SC:51
DF:50
Cameron Crotty
Cameron Crotty
AGE:27
SK:75
EN:55
DU:50
PH:35
PA:32
SC:38
DF:56
Michael Krutil
Michael Krutil
AGE:24
SK:75
EN:55
DU:50
PH:31
PA:32
SC:30
DF:54
Ryan Johnson
Ryan Johnson
AGE:25
SK:75
EN:60
DU:55
PH:41
PA:41
SC:41
DF:50
Joey Keane
Joey Keane
AGE:27
SK:75
EN:55
DU:50
PH:38
PA:39
SC:36
DF:50
Charlie Wright (R)
Charlie Wright
AGE:23
SK:75
EN:55
DU:50
PH:27
PA:22
SC:33
DF:59
Joonas Korpisalo
Joonas Korpisalo
AGE:32
SK:82
AG:82
RB:79
SC:79
HS:81
RT:80
DF:79
Cameron Talbot
Cameron Talbot
AGE:39
SK:86
AG:77
RB:73
SC:74
HS:72
RT:73
DF:75
Kaapo Kahkonen
Kaapo Kahkonen
AGE:30
SK:81
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Jaxson Stauber
Jaxson Stauber
AGE:27
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Callum Tung (R)
Callum Tung
AGE:23
SK:70
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Stanislav Berezhnoy (R)
Stanislav Berezhnoy
AGE:23
SK:70
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Espoirs
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
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Adam JiricekSharks203821
Adam LevacSharks2040131
Anton SilayevSharks203815
Arttu KarkiSharks2037113
Artyom GalimovSharks2034100
Artyom GoncharSharks2039131
Ashton CumbySharks2039193
Axel LandenSharks2037163
Brady MartinSharks20397
Carson CarelsSharks20407
Chase CheslockSharks2037194
Cole ReschnySharks203913
Damian ClaraSharks203765
Daniil ChechelevSharks2034102
Darian AndersonSharks2040193
Jaromir PytlikSharks203493
Jesse NurmiSharks2037145
Jonathan CastagnaSharks203794
Joshua RavensbergenSharks203938
Julius MiettinenSharks203840
Kent SauerSharks2040162
Leo Sahlin WalleniusSharks203849
Liam PetterssonSharks203969
Linus FunckSharks2039162
Mans GudmundssonSharks204089
Nils BartholdssonSharks204087
Oscar HolmertzSharks204091
Paul FischerSharks2037168
Rudolfs BerzkalnsSharks204069
Ryan LinSharks204013
Sacha BoisvertSharks203816
Sean KeohaneSharks2037214
Thimo NicklSharks2034124
Tobias TrejbalSharks204038
Tommy LafreniereSharks2039100
Visa VedenpaaSharks2037209
Yaroslav BryzgalovSharks2040100

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
2041
2042
2043



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
1Milan Michalek845250314564-495658971403237110.54%2691687119.977612119754922458381634.39%40.671780
2Alexander Svitov13381993295289113551468155120859.54%6932029315.1727467317711152677331151.61%40.52627
3Rich Peverley649182309491-191753001818173110.51%2041272319.605211516731226839171456.01%30.77623
4Ryan Strome725175295470-1352565201517168410.39%1311317518.1748961443781453822951.10%50.71828
5Braydon Coburn116199324423-11817302238112513417.38%15892406420.7362861486582101217830.00%00.3501

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
1Jonas Hiller506207242410.8993.272933860715971575314673570.772224
2Vitek Vanecek256104110180.8893.581381222782574470260.72755
3Keith Kinkaid128506480.8893.8370438244940580440.68635
4Joonas Korpisalo1695085150.8843.8890308158450350720.57128
5Jose Theodore92483650.9132.63536719323527041104900.86050

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
20178238300313725624214412113011231411202141171702014115122-783256418674030599398257607469208902584863144317632504417.60%3105083.87%111076202853.06%1043201851.68%695138250.29%167690618918551564773
201882343401283228237-941181601222121123-241161800061107114-772228359587040558381236606848328242471866148716251903317.37%2504980.40%11960185151.86%1094206253.06%660130250.69%162383917467881609805
201982313404274223227-441162300101102120-18411511041731211071472223343566200448484271007819519502599881103019292194420.09%2685180.97%31031207749.64%1023211848.30%544115347.18%170995817787781502722
20208236310138326323627411816011501381102841181500233125126-1772634036660104810898283908721028923262083798920382434016.46%2133683.10%81122225349.80%1011205849.13%618123150.20%1785103317267521469722
202182234305254230285-5541122302130114145-3141112003124116140-2458230409639120866866243108377677952611748106218774528518.81%4419678.23%71539301950.98%1470309447.51%652129850.23%1927131220216261034509
202282293900446234285-5141151800143110133-2341142100303124152-2862234416650110828365256208228468672748830114519074218419.95%4449179.50%31510302849.87%1520325846.65%606125448.33%1898128720506281027503
202382263902357240287-4741141800333128149-2141122102024112138-2659240421661310877175218007396947142855859119920203818422.05%54510880.18%21383272850.70%1606335547.87%658129250.93%1806119821526371028489
202482244801126213313-10041132200114115148-334111260101298165-6761213364577100767361222607307607192713806125819014097518.34%52511977.33%21466277552.83%1567314049.90%620125649.36%1954133619976161012492
202582214702336211289-7841132001313115148-33418270102396141-4561211377588210786662252008278598072693796101717974117017.03%4399079.50%21581301952.37%1606307952.16%629124250.64%1955133619906231034509
202682165701134205340-1354192701031104163-594173000103101177-7645205369574210697854241408048337622768797118518864236916.31%46111475.27%31440296648.55%1476313947.02%637137146.46%1917130220266191017499
202782194902246224295-714182302224113143-3041112600022111152-4158224384608140827561239408098147402708821102219314347116.36%46610677.25%11233294341.90%1211306039.58%540131641.03%1881126820596231035507
203082283701493212224-124118170005111310674110200144299118-198321236257426078675724920835838791247467297318034577315.97%4108379.76%31638306553.44%1520297851.04%641121652.71%1978134319546381055527
203182234600346233306-7341102400232116154-3841132200114117152-3563233409642430798565249008448028192786788111717924137016.95%4609479.57%61589298853.18%1557316749.16%710134352.87%1890127020506321033504
203282234404344229317-8841141604223131145-14419280012198172-7469229404633320817070237507877508082970913105619193677319.89%4478780.54%21404290448.35%1583330047.97%655133249.17%1784117621546401035496
203382244802332247354-10741122101331131174-4341122701001116180-6463247436683100107716424540825753859290682790216964088119.85%3909076.92%41435290549.40%1498309348.43%656139347.09%1799119420946351056510
203482343804042272280-841162202010127135-841181602032145145086272484756040889086271508769019112715768102619114248820.75%4237781.80%31512307149.23%1489310647.94%696137050.80%1938132419866161031511
203582313603345280284-441121902224121146-25411917011211591382184280498778320108818426880849919889267075989518023707119.19%3786682.54%21516291751.97%1465304148.17%701135951.58%1973138019836071023507
203682224508232261345-8441132203111143162-194192305121118183-657026147173213091916824390823733857264577986417133917118.16%3598975.21%51433278951.38%1279281845.39%688136750.33%1994139219515951018513
203782343903411274299-2541161902211139151-1241182001200135148-138127449877212110738752419777854773202639861110218103818622.57%4509878.22%31433279651.25%1525308949.37%702132053.18%1937132419876111022503
203882205103422247355-1084192601221122176-5441112502201125179-5456247436683219576718239179872585233282277892017203797319.26%4058479.26%31549281655.01%1472287651.18%772138455.78%1841123420596331048507
203982264204604235300-6541122401400111158-4741141803204124142-18702354246592087638152497807796872342775758105717483746617.65%4558681.10%31577292553.91%1553312549.70%698136151.29%1900127720106261046511
204050400100917-82020000016-530200100811-3191524005310163555847315945619520210.00%26388.46%011520256.93%9217851.69%346254.84%11781123386129
Total Saison régulière172756288105457868750266117-109186328943102534463825563015-45986427345002923404924703102-632143450268700137263241297161316771317523412437169231754415015569311705222810386837817145318.59%8565176779.37%87295425806550.88%296606115248.50%138122760450.04%392952578041798138272376811656
Séries éliminatoires
2017624000001519-43210000086230300000713-641524390004652320588489178569715114428.57%23195.65%08917451.15%7514352.45%4810346.60%12369202591011053
2018624000001718-13120000089-13120000099041731480002771650486254175619311714428.57%19384.21%06113545.19%7615947.80%389042.22%108531395911356
202073400000171703120000089-14220000098161727440103772400601037721870911661119.09%18383.33%010218455.43%8718347.54%449247.83%148861486312258
203740400000921-1220200000512-72020000049-50916250053101264231391418340481072613.85%19384.21%09017950.28%9819849.49%437557.33%10267117345426
Total Séries éliminatoires23716000005875-171147000002936-71239000002939-1014589815601512211976342197288234754227329541651015.38%791087.34%034267250.89%33668349.19%17336048.06%48227724311068401195

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
1Alexander Svitov108152439-38971511312326.47%56178416.5348121200082150.48%00.4400
2Milan Michalek135712101517204211.90%724318.73011300001016.67%00.9900
3Dustin Brown737106271610348.82%114721.11000500000043.33%01.3500
4Nikolai Antropov13279-581418306.67%725919.93123400010038.96%00.6900
5Sean Avery6426-391561526.67%512120.28213400000155.56%00.9900

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
1Jonas Hiller73400.9222.43419211721882000.0000
2Jose Theodore62310.8933.11367401917871000.0000
3Jose Theodore62400.8972.99361001817565000.0000
4Joonas Korpisalo10100.7628.5735005210000.0000
5Vitek Vanecek40210.9014.0223900161620000.0000