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California Golden Seals
GP: 18 | W: 7 | L: 9 | OTL: 2 | P: 21
GF: 38 | GA: 47 | PP%: 22.95% | PK%: 82.19%
DG: Rip | Morale : 40 | Moyenne d’équipe : 76
Prochains matchs #265 vs St Louis Blues

Centre de jeu
Detroit Red Wings
9-6-3, 29pts
5
4 California Golden Seals
7-9-2, 21pts
Team Stats
W2SéquenceL1
4-2-3Fiche domicile3-5-1
5-4-0Fiche visiteur4-4-1
5-3-2Derniers 10 matchs3-5-2
2.67Buts par match 2.11
2.67Buts contre par match 2.61
20.00%Pourcentage en avantage numérique22.95%
75.00%Pourcentage en désavantage numérique82.19%
California Golden Seals
7-9-2, 21pts
1
2 Columbus Blue Jackets
12-4-2, 36pts
Team Stats
L1SéquenceW1
3-5-1Fiche domicile6-1-0
4-4-1Fiche visiteur6-3-2
3-5-2Derniers 10 matchs6-2-2
2.11Buts par match 2.94
2.61Buts contre par match 2.11
22.95%Pourcentage en avantage numérique21.54%
82.19%Pourcentage en désavantage numérique86.79%
California Golden Seals
7-9-2, 21pts
Jour 48
St Louis Blues
10-5-3, 32pts
Statistiques d’équipe
L1SéquenceOTL1
3-5-1Fiche domicile5-4-2
4-4-1Fiche visiteur5-1-1
3-5-210 derniers matchs6-2-2
2.11Buts par match 3.00
2.61Buts contre par match 3.00
22.95%Pourcentage en avantage numérique18.07%
82.19%Pourcentage en désavantage numérique83.33%
Colorado Avalanche
12-4-2, 37pts
Jour 51
California Golden Seals
7-9-2, 21pts
Statistiques d’équipe
W3SéquenceL1
4-4-0Fiche domicile3-5-1
8-0-2Fiche visiteur4-4-1
6-2-210 derniers matchs3-5-2
2.50Buts par match 2.11
2.06Buts contre par match 2.11
13.64%Pourcentage en avantage numérique22.95%
83.67%Pourcentage en désavantage numérique82.19%
California Golden Seals
7-9-2, 21pts
Jour 54
Chicago Blackhawks
11-5-2, 32pts
Statistiques d’équipe
L1SéquenceL1
3-5-1Fiche domicile4-2-1
4-4-1Fiche visiteur7-3-1
3-5-210 derniers matchs7-3-0
2.11Buts par match 3.22
2.61Buts contre par match 3.22
22.95%Pourcentage en avantage numérique17.95%
82.19%Pourcentage en désavantage numérique79.17%
Meneurs d'équipe
Buts
Nils Hoglander
6
Passes
Barrett Hayton
11
Points
Dawson Mercer
14
Plus/Moins
Christian Folin
1
Victoires
Kevin Lankinen
4
Pourcentage d’arrêts
Kevin Lankinen
0.929

Statistiques d’équipe
Buts pour
38
2.11 GFG
Tirs pour
528
29.33 Avg
Pourcentage en avantage numérique
23.0%
14 GF
Début de zone offensive
38.2%
Buts contre
47
2.61 GAA
Tirs contre
560
31.11 Avg
Pourcentage en désavantage numérique
82.2%%
13 GA
Début de la zone défensive
39.7%
Informations de l'équipe

Directeur généralRip
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomOakland Arena
Capacité18,000
Assistance15,211
Billets de saison6,480


Informations de la formation

Équipe Pro21
Équipe Mineure29
Limite contact 50 / 250
Espoirs24


Finance

Revenu annuel à ce jour10,068,029$
Dépenses annuelles à ce jour15,005,259$
Revenus de la saison estimés34,678,767$
Dépenses de la saison estimées43,423,809$
Compte bancaire actuel35,413,568$
Compte bancaire projeté27,499,134$


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
1Nils Hoglander0X99.0069478895619494807485887484696555407802435,150,000$
2Dawson Mercer0X99.0064488295659198757587797181677155407702343,600,000$
3Evander Kane0X100.0090518084799293787277836977817355407703322,775,000$
4Luke Kunin0X99.0083528086709090808284807281747255407702721,900,000$
5Barrett Hayton0X99.0085528678829198729379807474718455407602543,600,000$
6Rafael Harvey-Pinard0X99.0089458388558793765576877282757755407602611,250,000$
7Ryan Hartman0X100.0089497289678881757476787277797055407503023,000,000$
8Isac Lundestrom0X100.0065478785709199708875797275717655407402543,600,000$
9Pavel Buchnevich0X99.0070428780758179746775796977797955407303023,000,000$
10Jake Virtanen0X100.009555806892787771696974717177765540710281750,000$
11Nick Shore0X100.006542787275848468877168687080795540700321500,000$
12K'Andre Miller0X100.0094578975959698795081698566718955408102534,100,000$
13Jamie Drysdale (R)0X100.0063478996719399795087707375787755407702344,100,000$
14Mikey Anderson0X100.009147868080899770507666806575855540770261800,000$
15Nicolas Hague0X100.0090618072998588765081708167737855407702634,100,000$
16Jake Sanderson0X100.0057458891759399717480688170657555407602221,500,000$
17Christian Folin0X100.0057418985788686735076657165807955407303411,000,000$
18Jacob Larsson0X100.006749827983808672507564706577735540720282624,999$
Rayé
1Marian Studenic0X100.00634581856980816563706870717375554070N0261869,565$
Équipe Mineure
1Arthur Kaliyev (R)0X99.0066538074808183735674757072707655407102411,250,000$
2Max Willman0X100.008246757771808263646867716879705540690301500,000$
3James van Riemsdyk0X100.007451696577817869676968616584785540680361775,000$
4Michal Repik0X100.007744737858767469697468586985675540680361500,000$
5ANTON WEDIN0XX100.005440767168606070707269666978875240670321250,000$
6JENS LOOKE0X99.005338737671606072667566697073735240670281301,000$
7JESSE KIISKINEN0X99.004840678471606074617567677357575240670191301,000$
8Henrik Borgstrom0X99.005544756982748060716462726272665540660271650,000$
9REID GARDINER0X99.005645707467606070697072647174745240660291250,000$
10Jacob Lucchini0X99.005745687370707860716362706479635540650303751,000$
11Ethen Frank0X100.005140797466707060506263686476765540640272751,000$
12J.C. Beaudin0X100.008654727162676760736061726365645540640282624,000$
13Nikita Okhotyuk (R)0X100.009345738078788370507363646470715540710242900,000$
14Ryan Stanton0X99.0075458071907981676171607261847155407103511,229,999$
15Mark Katic0X100.0053428475837778655070607364847055407003611,229,999$
16TJ Brodie0X100.0057398380768083705072656766847955407003511,229,999$
17Petter Granberg0X100.007554696792737264506661735880695540690323705,000$
18Jake Middleton0X100.007266666991666662506460715872725540680291624,000$
19Taylor Beck0X100.007049776287787663656564646381735540660341701,000$
20Teemu Hartikainen0X100.006756766279787761666565666084755540660351701,000$
21Hayden Hodgson0X100.007863466481747560686362706178705540650291624,000$
22Mathieu Olivier0X100.007965586483697060576261706177695540650282624,000$
23Michael Raffl0X100.007746736472747663656465596384815540650361701,000$
24Keegan Lowe0X100.007542547478747664506560776180695540700321625,000$
25Jake Livingstone0X100.005345807279687761506359725875755540670264624,000$
26Jordan Gross0X100.005444777567676662506660665978545540640301500,000$
MOYENNE D’ÉQUIPE99.71714877777679816963726870687673554071
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
1Ukko-Pekka Luukkonen0100.00738085888383858585848675645540800262800,000$
2Kevin Lankinen097.008579858283818383838281796555407903033,100,000$
Rayé
Équipe Mineure
1Antoine Bibeau096.007167698476777878787777806555407403111,200,000$
2Marcus Hogberg0100.006970708876777878787777786355407403031,000,000$
3Matt Tomkins0100.007761618473747573737471806357407103111,100,000$
MOYENNE D’ÉQUIPE98.6075717485787880797979787864554076
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
1Dawson MercerCalifornia Golden SealsLW185914-4115202550162410.00%431417.474485430110200132.26%31157000.8922010010
2Barrett HaytonCalifornia Golden SealsC1821113-3604439276277.41%432117.871562420000300048.58%31728000.8100000012
3Nils HoglanderCalifornia Golden SealsLW136713-455121844112613.64%526320.264489330001142058.33%12131010.9901010101
4Pavel BuchnevichCalifornia Golden SealsC183710-412017263411198.82%628115.67134439000011040.47%299119000.7100000002
5Evander KaneCalifornia Golden SealsLW185380160443242202011.90%831217.35011437000031042.86%21106000.5101000210
6Jamie DrysdaleCalifornia Golden SealsD18336-69512203014610.00%1234419.1532575800008010%0513000.3500100000
7Ryan HartmanCalifornia Golden SealsRW18246-129543335620413.57%1235219.600111240003400061.54%13169100.3400010010
8Luke KuninCalifornia Golden SealsRW18325-610029264918236.12%531317.440111161017370057.14%1476000.3211000001
9Mikey AndersonCalifornia Golden SealsD18235-9202622266127.69%2334719.33011121000042000%048000.2900000000
10Isac LundestromCalifornia Golden SealsC18044-220837309120%431017.270110110003600050.89%22457000.2600000000
11Jake SandersonCalifornia Golden SealsD18314-6135822244412.50%2837220.68000325000159000%029000.2100001000
12Nicolas HagueCalifornia Golden SealsD181341140333482412.50%2431917.77101114011066000%0510000.2500000000
13Rafael Harvey-PinardCalifornia Golden SealsRW18134-66036254714262.13%630617.050116300000150018.18%111511000.2602000001
14K'Andre MillerCalifornia Golden SealsD18033-4155432923750%2143924.42000135000162000%0318000.1400001000
15Christian FolinCalifornia Golden SealsD1810115532685212.50%1029116.1700003000013000%075000.0700100000
16Jacob LarssonCalifornia Golden SealsD18000-300210200%4543.030000000004000%00300000000000
17Jake VirtanenCalifornia Golden SealsLW16000-32026106280%11137.1200001000000050.00%40200000000000
18Marian StudenicCalifornia Golden SealsRW5000020211350%0387.6600000000000033.33%30000000000000
19Nick ShoreCalifornia Golden SealsC3000000010010%0186.2400000000000066.67%31000000000000
Statistiques d’équipe totales ou en moyenne3073763100-59159354084275051702657.33%177511916.6814243845440123164814246.01%952121132110.3937232347
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
1Kevin LankinenCalifornia Golden Seals94500.9292.095180018254124010.857799210
2Ukko-Pekka LuukkonenCalifornia Golden Seals103420.9112.805790027304139110099100
Statistiques d’équipe totales ou en moyenne197920.9192.46109700455582631271818310


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Barrett Hayton (contrat à 1 volet)California Golden SealsC252000-06-09CANNo207 Lbs6 ft1NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm3,600,000$2,738,298$0$0$No3,600,000$3,600,000$3,600,000$------3,600,000$3,600,000$3,600,000$------NoNoNo------Lien
Christian FolinCalifornia Golden SealsD341991-02-09SWENo187 Lbs6 ft3NoNoFree AgentNoNo12025-10-13FalseFalsePro & Farm1,000,000$760,638$0$0$No---------------------------Lien
Dawson Mercer (contrat à 1 volet)California Golden SealsLW232001-10-27CANNo181 Lbs6 ft0NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm3,600,000$2,738,298$0$0$No3,600,000$3,600,000$3,600,000$------3,600,000$3,600,000$3,600,000$------NoNoNo------Lien
Evander Kane (contrat à 1 volet)California Golden SealsLW331991-08-02CANNo209 Lbs6 ft2NoNoFree AgentNoNo22025-10-03FalseFalsePro & Farm2,775,000$2,110,771$0$0$No2,775,000$--------2,775,000$--------No--------Lien
Isac Lundestrom (contrat à 1 volet)California Golden SealsC251999-11-06SWENo192 Lbs6 ft0NoNoFree AgentNoNo42025-10-13FalseFalsePro & Farm3,600,000$2,738,298$0$0$No3,600,000$3,600,000$3,600,000$------3,600,000$3,600,000$3,600,000$------NoNoNo------Lien
Jacob LarssonCalifornia Golden SealsD281997-04-29SWENo193 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm624,999$475,398$0$0$No624,999$--------624,999$--------No--------Lien
Jake SandersonCalifornia Golden SealsD222002-07-08USANo185 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,500,000$1,140,957$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Jake VirtanenCalifornia Golden SealsLW281996-08-17CANNo226 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm750,000$570,479$0$0$No---------------------------Lien
Jamie Drysdale (contrat à 1 volet)California Golden SealsD232002-04-08CANYes185 Lbs5 ft11NoNoFree AgentNoNo42025-10-06FalseFalsePro & Farm4,100,000$3,118,617$0$0$No4,100,000$4,100,000$4,100,000$------4,100,000$4,100,000$4,100,000$------NoNoNo------Lien
K'Andre Miller (contrat à 1 volet)California Golden SealsD252000-01-21USANo216 Lbs6 ft5NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm4,100,000$3,118,617$0$0$No4,100,000$4,100,000$-------4,100,000$4,100,000$-------NoNo-------Lien
Kevin Lankinen (contrat à 1 volet)California Golden SealsG301995-04-28FINNo185 Lbs6 ft2NoNoFree AgentNoNo32025-10-19FalseFalsePro & Farm3,100,000$2,357,979$0$0$No3,100,000$3,100,000$-------3,100,000$3,100,000$-------NoNo-------Lien
Luke KuninCalifornia Golden SealsRW271997-12-04USANo196 Lbs6 ft0NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,900,000$1,445,213$0$0$No1,900,000$--------1,900,000$--------No--------Lien
Marian StudenicCalifornia Golden SealsRW261998-10-28SVKNo181 Lbs6 ft1YesNoFree AgentNoNo12025-11-01FalseFalsePro Only869,565$661,424$0$0$No---------------------------Lien
Mikey AndersonCalifornia Golden SealsD261999-05-25USANo196 Lbs6 ft0NoNoTrade2026-03-04NoNo12025-09-30FalseFalsePro & Farm800,000$608,511$0$0$No---------------------------Lien
Nick ShoreCalifornia Golden SealsC321992-09-26USANo198 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$380,319$0$0$No---------------------------Lien
Nicolas Hague (contrat à 1 volet)California Golden SealsD261998-12-05CANNo240 Lbs6 ft6NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm4,100,000$3,118,617$0$0$No4,100,000$4,100,000$-------4,100,000$4,100,000$-------NoNo-------Lien
Nils Hoglander (contrat à 1 volet)California Golden SealsLW242000-12-20SWENo185 Lbs5 ft9NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm5,150,000$3,917,287$0$0$No5,150,000$5,150,000$-------5,150,000$5,150,000$-------NoNo-------Lien
Pavel Buchnevich (contrat à 1 volet)California Golden SealsC301995-04-17RUSNo196 Lbs6 ft1NoNoFree AgentNoNo22025-10-03FalseFalsePro & Farm3,000,000$2,281,915$0$0$No3,000,000$--------3,000,000$--------No--------Lien
Rafael Harvey-PinardCalifornia Golden SealsRW261999-01-06CANNo183 Lbs5 ft9NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,250,000$950,798$0$0$No---------------------------Lien
Ryan Hartman (contrat à 1 volet)California Golden SealsRW301994-09-20USANo196 Lbs6 ft0NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm3,000,000$2,281,915$0$0$No3,000,000$--------3,000,000$--------No--------Lien
Ukko-Pekka LuukkonenCalifornia Golden SealsG261999-03-09FINNo216 Lbs6 ft5NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm800,000$608,511$0$0$No800,000$--------800,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2127.10198 Lbs6 ft12.292,386,646$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
50,119,564$44,949,999$31,350,000$14,900,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nils HoglanderBarrett HaytonDawson Mercer35014
2Luke KuninPavel BuchnevichRafael Harvey-Pinard33023
3Evander KaneIsac LundestromRyan Hartman24023
4Jake VirtanenNick ShoreRyan Hartman8032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1K'Andre MillerJamie Drysdale35131
2Nicolas HagueMikey Anderson33131
3Jake SandersonChristian Folin24131
4Jake SandersonJacob Larsson8131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nils HoglanderBarrett HaytonDawson Mercer70005
2Luke KuninPavel BuchnevichRafael Harvey-Pinard30005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jamie DrysdaleNicolas Hague70005
2K'Andre MillerJake Sanderson30005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Isac LundestromRafael Harvey-Pinard55050
2Luke KuninRyan Hartman45050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1K'Andre MillerNicolas Hague55140
2Mikey AndersonJake Sanderson45140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Isac Lundestrom65050K'Andre MillerNicolas Hague65050
2Luke Kunin35050Mikey AndersonJake Sanderson35050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Barrett HaytonNils Hoglander60023
2Pavel BuchnevichRafael Harvey-Pinard40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1K'Andre MillerJamie Drysdale60122
2Mikey AndersonNicolas Hague40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nils HoglanderBarrett HaytonDawson MercerJamie DrysdaleNicolas Hague
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nils HoglanderBarrett HaytonRafael Harvey-PinardK'Andre MillerNicolas Hague
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Luke Kunin, Rafael Harvey-Pinard, Evander KaneNils Hoglander, Dawson MercerBarrett Hayton
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mikey Anderson, Jake Sanderson, K'Andre MillerJamie DrysdaleK'Andre Miller, Nicolas Hague
Tirs de pénalité
Nils Hoglander, Rafael Harvey-Pinard, Dawson Mercer, Luke Kunin, Evander Kane
Gardien
#1 : Kevin Lankinen, #2 : Ukko-Pekka Luukkonen, #3 : 0
Lignes d’attaque personnalisées en prolongation
Nils Hoglander, Dawson Mercer, Luke Kunin, Barrett Hayton, Rafael Harvey-Pinard, Evander Kane, Ryan Hartman, Isac Lundestrom, Pavel Buchnevich, Jake Virtanen
Lignes de défense personnalisées en prolongation
K'Andre Miller, Nicolas Hague, Mikey Anderson, Jamie Drysdale, Jake Sanderson


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
1Anaheim Mighty Ducks1010000013-21010000013-20000000000000.000123000100241111204010227500.00%10100.00%018339546.33%20541149.88%10722846.93%20102091910
2Chicago Blackhawks1010000025-31010000025-30000000000000.000224000110328111303051019500.00%5180.00%018339546.33%20541149.88%10722846.93%2313198178
3Colorado Avalanche11000000211000000000001100000021131.00023500110028914503494194125.00%20100.00%018339546.33%20541149.88%10722846.93%2113218167
4Columbus Blue Jackets2020000016-51010000004-41010000012-100.00012300001052132217065191643600.00%3166.67%018339546.33%20541149.88%10722846.93%402247173217
5Detroit Red Wings200001106601000010045-11000001021130.5006713001222502015109753330447457.14%10280.00%018339546.33%20541149.88%10722846.93%422248203918
6Edmonton Oilers1000010034-1000000000001000010034-110.333369001110277810236821293133.33%4250.00%018339546.33%20541149.88%10722846.93%19102710188
7Florida Panthers11000000312000000000001100000031231.0003470000303185180341712275120.00%60100.00%018339546.33%20541149.88%10722846.93%19102310167
8Los Angeles Kings1010000023-11010000023-10000000000000.0002350011002912890309625000%30100.00%018339546.33%20541149.88%10722846.93%1811248168
9New Jersey Devils1010000013-2000000000001010000013-200.000123100010321551203091517400.00%5260.00%018339546.33%20541149.88%10722846.93%2011218179
10San Jose Sharks11000000633110000006330000000000031.000611170032104016141003594266350.00%2150.00%018339546.33%20541149.88%10722846.93%2314208158
11Seattle Kraken11000000312000000000001100000031231.000369000300278136023141235400.00%60100.00%118339546.33%20541149.88%10722846.93%20102110188
12St Louis Blues1010000013-21010000013-20000000000000.0001231010003318870281010182150.00%50100.00%018339546.33%20541149.88%10722846.93%2011218178
13Tampa Bay Lightning10000010321100000103210000000000020.66733600020132871372771627000%8187.50%018339546.33%20541149.88%10722846.93%20112410198
14Vancouver Canucks11000000211110000002110000000000031.00024600011040141214016419324125.00%2150.00%018339546.33%20541149.88%10722846.93%2413179189
15Vegas Golden Knights1010000012-1000000000001010000012-100.000123000100218940271210164125.00%50100.00%018339546.33%20541149.88%10722846.93%189229188
16Winnipeg Jets1010000013-2000000000001010000013-200.00012300100030711120301112242150.00%6266.67%018339546.33%20541149.88%10722846.93%1810238178
Total1859002203847-9925001102129-8934001101718-1210.3893861992091611352818217316218560186199428611422.95%731382.19%118339546.33%20541149.88%10722846.93%374207406169318156
_Since Last GM Reset1859002203847-9925001102129-8934001101718-1210.3893861992091611352818217316218560186199428611422.95%731382.19%118339546.33%20541149.88%10722846.93%374207406169318156
_Vs Conference1548002103141-10825001001827-9723001101314-1160.356315283109147243315115611911469153156357521325.00%541081.48%118339546.33%20541149.88%10722846.93%313174336139264131
_Vs Division633000001513242200000111012110000043190.5001528430049201816967450171585316123521.74%19289.47%118339546.33%20541149.88%10722846.93%126701265610654

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1821L138619952856018619942820
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
185902203847
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
92501102129
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
93401101718
Derniers 10 matchs
WLOTWOTL SOWSOL
350200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
611422.95%731382.19%1
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
18217316218916113
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
18339546.33%20541149.88%10722846.93%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
374207406169318156


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
212San Jose Sharks3California Golden Seals6WSommaire du match
426California Golden Seals1Vegas Golden Knights2LSommaire du match
642California Golden Seals1Winnipeg Jets3LSommaire du match
853Anaheim Mighty Ducks3California Golden Seals1LSommaire du match
1067Vancouver Canucks1California Golden Seals2WSommaire du match
1282Los Angeles Kings3California Golden Seals2LSommaire du match
1496California Golden Seals3Seattle Kraken1WSommaire du match
16111California Golden Seals3Florida Panthers1WSommaire du match
17118California Golden Seals1New Jersey Devils3LSommaire du match
19127Tampa Bay Lightning2California Golden Seals3WXXSommaire du match
23148California Golden Seals3Edmonton Oilers4LXSommaire du match
27166Chicago Blackhawks5California Golden Seals2LSommaire du match
30181California Golden Seals2Colorado Avalanche1WSommaire du match
32193St Louis Blues3California Golden Seals1LSommaire du match
36210Columbus Blue Jackets4California Golden Seals0LSommaire du match
39221California Golden Seals2Detroit Red Wings1WXXSommaire du match
42235Detroit Red Wings5California Golden Seals4LXSommaire du match
45250California Golden Seals1Columbus Blue Jackets2LSommaire du match
48265California Golden Seals-St Louis Blues-
51276Colorado Avalanche-California Golden Seals-
54293California Golden Seals-Chicago Blackhawks-
57306California Golden Seals-Edmonton Oilers-
59316California Golden Seals-New York Rangers-
61325Quebec Nordiques-California Golden Seals-
63341Toronto Maple Leafs-California Golden Seals-
65351California Golden Seals-Philadelphia Flyers-
68373Los Angeles Kings-California Golden Seals-
70384California Golden Seals-Vancouver Canucks-
72399California Golden Seals-Anaheim Mighty Ducks-
74420Winnipeg Jets-California Golden Seals-
76424Carolina Hurricanes-California Golden Seals-
78435California Golden Seals-New York Islanders-
80455Boston Bruins-California Golden Seals-
84474St Louis Blues-California Golden Seals-
86485Columbus Blue Jackets-California Golden Seals-
89498California Golden Seals-Detroit Red Wings-
92516Montreal Canadiens-California Golden Seals-
93523California Golden Seals-Montreal Canadiens-
95538California Golden Seals-Pittsburgh Penguins-
98559Pittsburgh Penguins-California Golden Seals-
100574Hamilton Mustangs-California Golden Seals-
102584California Golden Seals-Ottawa Senators-
104596Vegas Golden Knights-California Golden Seals-
107613California Golden Seals-San Jose Sharks-
111629Seattle Kraken-California Golden Seals-
113640Edmonton Oilers-California Golden Seals-
115648Chicago Blackhawks-California Golden Seals-
118660California Golden Seals-Colorado Avalanche-
122685California Golden Seals-Toronto Maple Leafs-
123694California Golden Seals-Quebec Nordiques-
125709New York Rangers-California Golden Seals-
127720California Golden Seals-Tampa Bay Lightning-
129738New Jersey Devils-California Golden Seals-
132755Florida Panthers-California Golden Seals-
135768California Golden Seals-Los Angeles Kings-
137781Vancouver Canucks-California Golden Seals-
139795Anaheim Mighty Ducks-California Golden Seals-
142812California Golden Seals-Winnipeg Jets-
144819Philadelphia Flyers-California Golden Seals-
147837California Golden Seals-Carolina Hurricanes-
149849New York Islanders-California Golden Seals-
151864California Golden Seals-Boston Bruins-
154882California Golden Seals-Hamilton Mustangs-
156893Ottawa Senators-California Golden Seals-
158901California Golden Seals-St Louis Blues-
160912California Golden Seals-Columbus Blue Jackets-
162925Detroit Red Wings-California Golden Seals-
164940Colorado Avalanche-California Golden Seals-
166958California Golden Seals-Chicago Blackhawks-
168971Edmonton Oilers-California Golden Seals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
171984California Golden Seals-Los Angeles Kings-
173996California Golden Seals-Vancouver Canucks-
1751010California Golden Seals-Anaheim Mighty Ducks-
1771029Winnipeg Jets-California Golden Seals-
1801048Vegas Golden Knights-California Golden Seals-
1811062California Golden Seals-Vegas Golden Knights-
1831076California Golden Seals-San Jose Sharks-
1841090San Jose Sharks-California Golden Seals-
1861104California Golden Seals-Seattle Kraken-
1871114Seattle Kraken-California Golden Seals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets92513023186
Assistance47,87436,60615,42827,8759,113
Attendance PCT89.55%83.69%86.58%78.21%80.36%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 15211 - 84.50% 1,118,670$10,068,029$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
15,005,259$ 57,088,561$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 15,005,259$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
34,678,767$ 143 303,663$ 43,423,809$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
44,507,892$ 35,413,568$ 27,499,134$



Charte de profondeur

Ailier gaucheCentreAilier droit
Nils HoglanderAGE:24PO:55OV:78
Dawson MercerAGE:23PO:55OV:77
Evander KaneAGE:33PO:55OV:77
Jake VirtanenAGE:28PO:55OV:71
ANTON WEDINAGE:32PO:52OV:67
Taylor BeckAGE:34PO:55OV:66
Teemu HartikainenAGE:35PO:55OV:66
Michael RafflAGE:36PO:55OV:65
Barrett HaytonAGE:25PO:55OV:76
Isac LundestromAGE:25PO:55OV:74
Pavel BuchnevichAGE:30PO:55OV:73
Nick ShoreAGE:32PO:55OV:70
Henrik BorgstromAGE:27PO:55OV:66
Jacob LucchiniAGE:30PO:55OV:65
Ethen FrankAGE:27PO:55OV:64
J.C. BeaudinAGE:28PO:55OV:64
Luke KuninAGE:27PO:55OV:77
Rafael Harvey-PinardAGE:26PO:55OV:76
Ryan HartmanAGE:30PO:55OV:75
Arthur Kaliyev (R)AGE:24PO:55OV:71
Marian StudenicAGE:26PO:55OV:70
Max WillmanAGE:30PO:55OV:69
James van RiemsdykAGE:36PO:55OV:68
Michal RepikAGE:36PO:55OV:68
ANTON WEDINAGE:32PO:52OV:67
JENS LOOKEAGE:28PO:52OV:67
JESSE KIISKINENAGE:19PO:52OV:67
REID GARDINERAGE:29PO:52OV:66
Hayden HodgsonAGE:29PO:55OV:65
Mathieu OlivierAGE:28PO:55OV:65

Défense #1Défense #2Gardien
K'Andre MillerAGE:25PO:55OV:81
Jamie Drysdale (R)AGE:23PO:55OV:77
Mikey AndersonAGE:26PO:55OV:77
Nicolas HagueAGE:26PO:55OV:77
Jake SandersonAGE:22PO:55OV:76
Christian FolinAGE:34PO:55OV:73
Jacob LarssonAGE:28PO:55OV:72
Nikita Okhotyuk (R)AGE:24PO:55OV:71
Ryan StantonAGE:35PO:55OV:71
Keegan LoweAGE:32PO:55OV:70
Mark KaticAGE:36PO:55OV:70
TJ BrodieAGE:35PO:55OV:70
Petter GranbergAGE:32PO:55OV:69
Jake MiddletonAGE:29PO:55OV:68
Jake LivingstoneAGE:26PO:55OV:67
Jordan GrossAGE:30PO:55OV:64
Ukko-Pekka LuukkonenAGE:26PO:55OV:80
Kevin LankinenAGE:30PO:55OV:79
Antoine BibeauAGE:31PO:55OV:74
Marcus HogbergAGE:30PO:55OV:74
Matt TomkinsAGE:31PO:57OV:71

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
1 000 000 NSHL25 Waiver BucksCalifornia Golden Seals00
1x NSHL26 ODW ClaimCalifornia Golden Seals000Lien
1x RFA TagCalifornia Golden Seals000Lien
1x TC PTSCalifornia Golden Seals000Lien
20x LTCsCalifornia Golden Seals000Lien
Alexander RuutuCalifornia Golden Seals111020Lien
Cole ReschnyCalifornia Golden Seals25200Lien
Eddie GenborgCalifornia Golden Seals25560Lien
Harrison BlaisdellCalifornia Golden Seals191010Lien
Henrik BorgstromCalifornia Golden Seals16430Lien
JC LiponCalifornia Golden Seals131080Lien
Jakub BrabenecCalifornia Golden Seals211350Lien
Jesper WallstedtCalifornia Golden Seals21110Lien
Kirill MaksimovCalifornia Golden Seals181210Lien
Kody ClarkCalifornia Golden Seals181180Lien
Matthew GardCalifornia Golden Seals25720Lien
Maxim MasseCalifornia Golden Seals24580Lien
Nathan VilleneuveCalifornia Golden Seals24850Lien
Noel FransenCalifornia Golden Seals241040Lien
Patrik BartosakCalifornia Golden Seals13750Lien
Petteri RimpinenCalifornia Golden Seals251110Lien
Reilly WalshCalifornia Golden Seals171120Lien
Sergei TolchinskyCalifornia Golden Seals14660Lien
Zack PhillipsCalifornia Golden Seals12600Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
26
27
28
29
30
Choix au repêchage conditionnel




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.




California Golden Seals Historique de transactions

[2026-03-10 3:02:42 PM] New Record for Team's Most Shots Blocked (23) in 1 Game for California Golden Seals!
[2026-03-10 3:02:42 PM] New Record for Team's Most Shots Blocked (23) in 1 Game for California Golden Seals!
[2026-03-07 1:51:07 PM] TRADE : From Detroit Red Wings to California Golden Seals : $59,456 (Money).
[2026-03-07 1:50:58 PM] TRADE : From Detroit Red Wings to California Golden Seals : $1,014,322 (Money).
[2026-03-04 3:08:18 PM] TRADE : From Toronto Maple Leafs to California Golden Seals : Mikey Anderson (77), Y:26-RND:2-CAL, Y:27-RND:3-VGK, Y:27-RND:3-FLA, Y:27-RND:4-WPG.
[2026-03-04 3:08:18 PM] TRADE : From California Golden Seals to Toronto Maple Leafs : Jakob Chychrun (80), Mark Jankowski (74), Patrick Kane (68), Trent Frederic (70).
[2026-02-19 3:00:20 PM] New Record for Team's Most Penalties Minutes (21) in 1 Game for California Golden Seals!
[2026-02-10 3:13:07 PM] New Record for Team's Most Shots Blocked (17) in 1 Game for California Golden Seals!
[2026-02-08 11:36:52 AM] New Record for Team's Most Hits (35) in 1 Game for California Golden Seals!
[2026-02-08 11:36:52 AM] New Record for Team's Most Shots Blocked (14) in 1 Game for California Golden Seals!
[2026-02-04 3:03:28 PM] New Record for Team's Most Hits (32) in 1 Game for California Golden Seals!
[2026-02-04 3:03:28 PM] New Record for Team's Most Penalties Minutes (19) in 1 Game for California Golden Seals!
[2026-02-02 3:12:09 PM] New Record for Team's Most Hits (27) in 1 Game for California Golden Seals!
[2026-01-31 10:15:19 AM] New Record for Team's Most Penalties Minutes (12) in 1 Game for California Golden Seals!
[2026-01-29 10:02:21 AM] New Record for Team's Most Penalties Minutes (10) in 1 Game for California Golden Seals!
[2026-01-29 10:02:21 AM] New Record for Team's Most Shots Blocked (12) in 1 Game for California Golden Seals!



Pas de blessure ou de suspension.


California Golden Seals 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

California Golden Seals 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

California Golden Seals 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

California Golden Seals 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

California Golden Seals 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