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Connexion

Fog
GP: 55 | W: 21 | L: 25 | OTL: 9 | P: 51
GF: 142 | GA: 162 | PP%: 28.46% | PK%: 69.28%
DG: | Morale : 40 | Moyenne d’équipe : 66
Prochains matchs #837 vs Warhawks

Centre de jeu
Raiders
27-23-5, 59pts
2
1 Fog
21-25-9, 51pts
Team Stats
W2SéquenceL3
17-10-4Fiche domicile12-11-2
10-13-1Fiche visiteur9-14-7
6-3-1Derniers 10 matchs4-6-0
2.71Buts par match 2.58
2.89Buts contre par match 2.95
28.23%Pourcentage en avantage numérique28.46%
72.13%Pourcentage en désavantage numérique69.28%
Islanders
33-20-3, 69pts
2
1 Fog
21-25-9, 51pts
Team Stats
W1SéquenceL3
16-10-2Fiche domicile12-11-2
17-10-1Fiche visiteur9-14-7
7-3-0Derniers 10 matchs4-6-0
2.89Buts par match 2.58
2.70Buts contre par match 2.95
27.64%Pourcentage en avantage numérique28.46%
61.60%Pourcentage en désavantage numérique69.28%
Fog
21-25-9, 51pts
2025-11-04
Warhawks
27-24-4, 58pts
Statistiques d’équipe
L3SéquenceW3
12-11-2Fiche domicile16-10-1
9-14-7Fiche visiteur11-14-3
4-6-010 derniers matchs6-4-0
2.58Buts par match 2.84
2.95Buts contre par match 2.84
28.46%Pourcentage en avantage numérique36.21%
69.28%Pourcentage en désavantage numérique64.29%
Grizzlies
28-24-3, 59pts
2025-11-05
Fog
21-25-9, 51pts
Statistiques d’équipe
L3SéquenceL3
15-13-1Fiche domicile12-11-2
13-11-2Fiche visiteur9-14-7
3-7-010 derniers matchs4-6-0
2.80Buts par match 2.58
2.78Buts contre par match 2.58
32.37%Pourcentage en avantage numérique28.46%
64.96%Pourcentage en désavantage numérique69.28%
Force
31-16-7, 69pts
2025-11-07
Fog
21-25-9, 51pts
Statistiques d’équipe
L2SéquenceL3
20-5-4Fiche domicile12-11-2
11-11-3Fiche visiteur9-14-7
6-4-010 derniers matchs4-6-0
3.02Buts par match 2.58
2.81Buts contre par match 2.58
38.89%Pourcentage en avantage numérique28.46%
64.55%Pourcentage en désavantage numérique69.28%
Meneurs d'équipe
Buts
Hans Knudsen
28
Passes
Reiner Volkmer
39
Points
Reiner Volkmer
52
Plus/Moins
Dillon Gellert
9
Victoires
Lennard Rosenthal
21
Pourcentage d’arrêts
Lennard Rosenthal
0.902

Statistiques d’équipe
Buts pour
142
2.58 GFG
Tirs pour
1599
29.07 Avg
Pourcentage en avantage numérique
28.5%
35 GF
Début de zone offensive
35.7%
Buts contre
162
2.95 GAA
Tirs contre
1610
29.27 Avg
Pourcentage en désavantage numérique
69.3%%
47 GA
Début de la zone défensive
37.8%
Informations de l'équipe

Directeur général
EntraîneurLyndell Oleson
DivisionCentral
ConférenceCanadian
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomBudweiser Gardens
Capacité18,000
Assistance0
Billets de saison7,200


Informations de la formation

Équipe Pro20
Équipe Mineure5
Limite contact 25 / 50
Espoirs0


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées45,752$
Compte bancaire actuel0$
Compte bancaire projeté-45,752$


Historique d'équipe

Saison actuelle21-25-9 (51PTS)
Historique224-177-47 (0.500%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)15 - 12 (0.556%)
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Reiner Volkmer (R)0X99.0070645983777582437274578461686686407101810$
2Domick Kea (R)0X96.0067595471856877615680547861747567407001910$
3Edvard Haugen0X96.0059497972656672634866737665625571406801831$
4Sebastian Aeby (R)0X100.0079745275835761596458708375665178406701710$
5Enes Rekelj0X99.0071575467646468596765717059546173406601810$
6Hans Knudsen (R)0X100.0056626180596469775956845072645886406601831$
7Christian Bartik (R)0X100.0050636565386387805576556663755064406501810$
8Oto Stafa0X100.0065597576757370466351537659745295406501610$
9Viktor Stenseth (R)0X100.0060636166656064555663677068595872436301610$
10Alfred Brehmer (R)0X100.0073605070635864496452646772636299406101610$
11Radim Srot0X98.7461595074506751545867686263586398496101610$
12Radko Majer (R)0X99.0083695965756885635762597462757293407101710$
13Anson Weinberg (R)0X99.0031496553837890712561557762847474406702010$
14Marcel Spivak (R)0X100.0082657867737566427534398555695574406701810$
15Tjas Handanovic (R)0X100.0054666073507778775565595374717569406601710$
16Arthur Frivold0X100.0071657171756271346854426861634775406501810$
17Benjamin Emblem0X100.0074627059716469324849437464655578406401810$
Rayé
1Dillon Gellert (R)0X94.0067446184747492596654777978633077407202010$
MOYENNE D’ÉQUIPE98.93656162716867735759606172656759794166
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
1Lennard Rosenthal (R)098.005970847871686456595873665442406701831$
2Igor Engver (R)0100.007456845673565172507162635140406401910$
Rayé
MOYENNE D’ÉQUIPE99.0067638467726258645565686553414066
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lyndell Oleson83633963837366USA402125,000$


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
1Reiner VolkmerFogC551339525440103119117457011.11%32111320.25315188861015922050.04%11273626100.9323000134
2Hans KnudsenFogRW55282452832071562216511212.67%1694017.11116173385000000437.68%696017001.1100000532
3Domick KeaFogC55122335-1726014114514549998.28%23111320.25491310880114971145.63%9382724000.6312000242
4Dillon GellertFogLW53151934938012310215561909.68%31122123.0526812840004913141.83%1535729000.5613000322
5Edvard HaugenFogLW55171734-16808392156488910.90%31111220.236713108710181023229.63%543722000.6101000313
6Radko MajerFogD554242823601311027526365.33%65136724.8723569100019700100.00%12146000.4100000101
7Sebastian AebyFogC55151126-6100110681384710310.87%2577914.1800005000055051.53%2953620010.6700000222
8Anson WeinbergFogD5561521010018897536278.00%70132224.042464910111111100%0743000.3200000010
9Enes RekeljFogRW427916-1118095627727539.09%1773017.39134568000001142.31%262612000.4400000210
10Tjas HandanovicFogD5531316-1216042609828293.06%51118321.5223510860005100000%02725000.2700000011
11Marcel SpivakFogD5211314-22080915019122.00%70112421.631455800003103000%0748000.2500000111
12Christian BartikFogC556612240312948133312.50%84408.02000000002421141.18%15366000.5400000101
13Radim SrotFogRW4965114180583856143310.71%64368.9000003000000040.00%10106000.5000000010
14Alfred BrehmerFogLW55279020088728122492.47%1577414.08000020001110052.63%192313000.2300000000
15Oto StafaFogRW55459-72062616322396.35%1479814.52112117000112061.11%18817000.2300000001
16Benjamin EmblemFogD550552203950204100%2873413.360000100012200100.00%1127000.1400000000
17Arthur FrivoldFogD55044-6120245513880%2776713.950000900008000%0217000.1000000000
18Viktor StensethFogC55112440181372314.29%32274.1400028000000053.57%2803000.1800000000
19Bozidar UnukFarm Team 12 (FOG)LW3011-100434110%24013.3400000000000050.00%200000.5000000000
20Herman MeyerFarm Team 12 (FOG)D21011220350110%31366.490000000004000%002000.1500000000
Statistiques d’équipe totales ou en moyenne990140242382-4030401324131215995388978.76%5371636716.5335619610690122436894191047.24%2894391403110.4749000212020
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
1Lennard RosenthalFog54212390.9022.863088001471501803210.7508532130
2Igor EngverFog60200.8883.042370012107560100253000
Statistiques d’équipe totales ou en moyenne60212590.9012.8733260015916088592285555130


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 Plafond 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
Alfred BrehmerFogLW162011-04-10GERYes167 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Anson WeinbergFogD202007-06-11CANYes211 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Arthur FrivoldFogD182009-10-03NORNo217 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Benjamin EmblemFogD182009-06-06NORNo198 Lbs6 ft7NoNoAssign ManuallyNoNo12024-08-05FalseFalsePro & Farm0$0$No---------------------------
Christian BartikFogC182009-02-07CZEYes183 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Dillon Gellert (sur la masse salariale)FogLW202007-04-16CANYes192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Domick KeaFogC192008-12-27CANYes192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Edvard HaugenFogLW182009-08-18NORNo172 Lbs6 ft0NoNoFree AgentNoNo32025-02-20FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Enes RekeljFogRW182009-04-02SVKNo181 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Hans KnudsenFogRW182009-08-18DENYes236 Lbs6 ft5NoNoFree AgentNoNo32025-02-20FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Igor EngverFogG192008-12-27RUSYes206 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Lennard RosenthalFogG182009-11-08SUIYes196 Lbs6 ft3NoNoFree AgentNoNo32025-02-20FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Marcel SpivakFogD182009-08-19CZEYes208 Lbs5 ft11NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Oto StafaFogRW162011-08-18CZENo184 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Radim SrotFogRW162011-12-06CZENo206 Lbs6 ft3NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Radko MajerFogD172010-01-11SVKYes206 Lbs6 ft0NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Reiner VolkmerFogC182009-06-29GERYes204 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Sebastian AebyFogC172010-02-21SUIYes200 Lbs6 ft3NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Tjas HandanovicFogD172010-07-23SLOYes220 Lbs6 ft2NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Viktor StensethFogC162011-06-19NORYes204 Lbs6 ft1NoNoAssign ManuallyNoNo12025-10-27FalseFalsePro & Farm0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2017.75199 Lbs6 ft21.300$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
3$3$3$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Reiner VolkmerHans Knudsen35122
2Edvard HaugenDomick KeaEnes Rekelj35122
3Alfred BrehmerSebastian AebyOto Stafa20122
4Christian BartikRadim Srot10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radko MajerAnson Weinberg35122
2Marcel SpivakTjas Handanovic35122
3Arthur FrivoldBenjamin Emblem20122
4Radko MajerAnson Weinberg10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Reiner VolkmerHans Knudsen50122
2Edvard HaugenDomick KeaEnes Rekelj50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radko MajerAnson Weinberg50122
2Marcel SpivakTjas Handanovic50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Reiner Volkmer50122
2Domick KeaEdvard Haugen50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radko MajerAnson Weinberg50122
2Marcel SpivakTjas Handanovic50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Radko MajerAnson Weinberg50122
2Reiner Volkmer50122Marcel SpivakTjas Handanovic50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Reiner Volkmer50122
2Domick KeaEdvard Haugen50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radko MajerAnson Weinberg50122
2Marcel SpivakTjas Handanovic50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Reiner VolkmerHans KnudsenRadko MajerAnson Weinberg
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Reiner VolkmerHans KnudsenRadko MajerAnson Weinberg
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Viktor Stenseth, Sebastian Aeby, Christian BartikViktor Stenseth, Sebastian AebyChristian Bartik
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Arthur Frivold, Benjamin Emblem, Marcel SpivakArthur FrivoldBenjamin Emblem, Marcel Spivak
Tirs de pénalité
, Reiner Volkmer, Domick Kea, Edvard Haugen, Sebastian Aeby
Gardien
#1 : Lennard Rosenthal, #2 : Igor Engver
Lignes d’attaque personnalisées en prolongation
, Reiner Volkmer, Domick Kea, Edvard Haugen, Sebastian Aeby, Hans Knudsen, Enes Rekelj, Christian Bartik, Oto Stafa, Viktor Stenseth
Lignes de défense personnalisées en prolongation
Radko Majer, Anson Weinberg, Marcel Spivak, Tjas Handanovic, Arthur Frivold


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
1Aviators2010100079-2100010005411010000025-320.50071219001321601424193622028507342.86%14471.43%0483101847.45%526107748.84%35875547.42%381846213818
2Berries4110101014122201000107702100100075260.7501423370024631323747464123411610413646.15%8187.50%0483101847.45%526107748.84%35875547.42%824486397737
3Chill200011006601000010034-11000100032130.75061016001311531217231612384811100.00%4175.00%0483101847.45%526107748.84%35875547.42%351744194019
4Dragons1010000046-2000000000001010000046-200.00047110000403577210391010342150.00%5340.00%1483101847.45%526107748.84%35875547.42%2010219188
5Firebirds1000010056-1000000000001000010056-110.500591400113033111111038108215240.00%4325.00%0483101847.45%526107748.84%35875547.42%199219199
6Force1000010023-1000000000001000010023-110.50023500110023797037126173266.67%3166.67%0483101847.45%526107748.84%35875547.42%1572510199
7Gators1010000013-21010000013-20000000000000.0001230000102721690216824000%4175.00%0483101847.45%526107748.84%35875547.42%2111199199
8Grizzlies1010000012-1000000000001010000012-100.00012300100025761203011628000%3166.67%0483101847.45%526107748.84%35875547.42%1911209199
9Hellcats22000000532110000002111100000032141.00051015000230611524220652112513133.33%60100.00%0483101847.45%526107748.84%35875547.42%402140183919
10Howlers1010000023-1000000000001010000023-100.0002350011002291120349015600.00%000%0483101847.45%526107748.84%35875547.42%1981892112
11Invaders1000010023-1000000000001000010023-110.50024600101028138703414622200.00%30100.00%0483101847.45%526107748.84%35875547.42%20102110198
12Islanders2020000017-61010000012-11010000005-500.0001230001004110171405633655100.00%30100.00%0483101847.45%526107748.84%35875547.42%381840194119
13Lions1010000013-2000000000001010000013-200.00012300001032514130195621200.00%3166.67%0483101847.45%526107748.84%35875547.42%2111189209
14Mammoth11000000514110000005140000000000021.000510150011304218168021810223266.67%50100.00%0483101847.45%526107748.84%35875547.42%2313189188
15Mariners2110000045-1110000003211010000013-220.50046100003105082814050158516350.00%4175.00%0483101847.45%526107748.84%35875547.42%391938204119
16Menace2020000036-31010000024-21010000012-100.0003690003005520191604818847100.00%5340.00%0483101847.45%526107748.84%35875547.42%402241193818
17Newfies22000000734110000004221100000031241.00071118001240586272504816850200.00%4175.00%0483101847.45%526107748.84%35875547.42%412236204220
18Nighthawks220000001046110000006241100000042241.00010162600343061202120057910404250.00%5180.00%0483101847.45%526107748.84%35875547.42%371943193919
19Quake2010010068-21010000045-11000010023-110.2506101600123047826130681510429333.33%5180.00%0483101847.45%526107748.84%35875547.42%381843193819
20Raiders2020000036-31010000012-11010000024-200.00035810120067163021069201051600.00%5180.00%0483101847.45%526107748.84%35875547.42%392143193717
21Rapids1010000023-1000000000001010000023-100.0002460010102234150307626000%3233.33%0483101847.45%526107748.84%35875547.42%1991992110
22Reapers2110000045-1110000003121010000014-320.500471100112051914280371514597228.57%7185.71%0483101847.45%526107748.84%35875547.42%402039203919
23Reds512011001517-22110000066030101100911-250.5001526411045511556247433152563211111218.18%16568.75%0483101847.45%526107748.84%35875547.42%10152103499848
24Spirit40100111710-32010000136-32000011044040.500711180012321134137251610633221034125.00%11554.55%0483101847.45%526107748.84%35875547.42%834284428539
25Steelers52200100121203120000068-22100010064250.5001218300035401525044571146622412113215.38%12375.00%1483101847.45%526107748.84%35875547.42%10354104489648
26Storm2020000036-31010000013-21010000023-100.000358000120511220190691712405240.00%6266.67%0483101847.45%526107748.84%35875547.42%381842183820
27Terror2110000068-2110000004221010000026-420.500611170030307120193206427853300.00%440.00%0483101847.45%526107748.84%35875547.42%402240183819
28Warhawks11000000422110000004220000000000021.0004711000130321111100264218400.00%110.00%0483101847.45%526107748.84%35875547.42%2113199189
Total55152504821142162-20251011011117167430514037107195-24510.464142242384202948598159945357455228161053730413241233528.46%1534769.28%2483101847.45%526107748.84%35875547.42%110257411425411087527
_Since Last GM Reset55152504821142162-20251011011117167430514037107195-24510.464142242384202948598159945357455228161053730413241233528.46%1534769.28%2483101847.45%526107748.84%35875547.42%110257411425411087527
_Vs Conference33915033219096-6155701011424201848023104854-6320.4859014723720183235797828534732727985315186796792227.85%932968.82%2483101847.45%526107748.84%35875547.42%664344689328656318
_Vs Division1846023214851-3925000112227-59210231026242200.55648781261010161865521901751712452719294439411126.83%471470.21%1483101847.45%526107748.84%35875547.42%369195379180357173

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5551L314224238415991610537304132420
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5515254821142162
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
25101111117167
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3051437107195
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1233528.46%1534769.28%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
453574552282948598
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
483101847.45%526107748.84%35875547.42%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
110257411425411087527


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
1 - 2025-07-2915Fog4Reds3WXSommaire du match
3 - 2025-07-3125Fog2Invaders3LXSommaire du match
5 - 2025-08-0244Gators3Fog1LSommaire du match
6 - 2025-08-0360Fog4Steelers1WSommaire du match
8 - 2025-08-0568Fog2Rapids3LSommaire du match
10 - 2025-08-0790Aviators4Fog5WXSommaire du match
12 - 2025-08-09102Fog4Nighthawks2WSommaire du match
13 - 2025-08-10107Fog0Islanders5LSommaire du match
15 - 2025-08-12121Fog2Storm3LSommaire du match
16 - 2025-08-13140Fog3Chill2WXSommaire du match
18 - 2025-08-15157Quake5Fog4LSommaire du match
20 - 2025-08-17179Berries4Fog3LSommaire du match
22 - 2025-08-19194Fog3Berries2WXSommaire du match
23 - 2025-08-20202Fog3Hellcats2WSommaire du match
25 - 2025-08-22210Fog2Spirit3LXSommaire du match
27 - 2025-08-24237Terror2Fog4WSommaire du match
29 - 2025-08-26248Fog5Firebirds6LXSommaire du match
31 - 2025-08-28263Fog2Raiders4LSommaire du match
33 - 2025-08-30281Fog1Grizzlies2LSommaire du match
34 - 2025-08-31299Reds3Fog5WSommaire du match
36 - 2025-09-02314Fog3Reds5LSommaire du match
37 - 2025-09-03322Fog2Steelers3LXSommaire du match
39 - 2025-09-05336Steelers1Fog4WSommaire du match
41 - 2025-09-07345Fog2Spirit1WXXSommaire du match
43 - 2025-09-09372Reds3Fog1LSommaire du match
45 - 2025-09-11384Fog2Terror6LSommaire du match
47 - 2025-09-13397Fog4Dragons6LSommaire du match
48 - 2025-09-14416Spirit3Fog2LXXSommaire du match
50 - 2025-09-16430Fog4Berries3WSommaire du match
51 - 2025-09-17440Reapers1Fog3WSommaire du match
53 - 2025-09-19455Chill4Fog3LXSommaire du match
55 - 2025-09-21475Menace4Fog2LSommaire du match
57 - 2025-09-23490Fog1Reapers4LSommaire du match
58 - 2025-09-24500Steelers3Fog1LSommaire du match
60 - 2025-09-26514Fog2Reds3LXSommaire du match
62 - 2025-09-28528Fog2Quake3LXSommaire du match
64 - 2025-09-30550Nighthawks2Fog6WSommaire du match
65 - 2025-10-01556Fog1Menace2LSommaire du match
67 - 2025-10-03571Fog2Force3LXSommaire du match
69 - 2025-10-05594Warhawks2Fog4WSommaire du match
72 - 2025-10-08615Fog2Aviators5LSommaire du match
74 - 2025-10-10625Fog1Mariners3LSommaire du match
76 - 2025-10-12650Hellcats1Fog2WSommaire du match
78 - 2025-10-14666Berries3Fog4WXXSommaire du match
80 - 2025-10-16682Fog1Lions3LSommaire du match
82 - 2025-10-18694Mammoth1Fog5WSommaire du match
83 - 2025-10-19709Mariners2Fog3WSommaire du match
85 - 2025-10-21713Fog3Newfies1WSommaire du match
86 - 2025-10-22732Storm3Fog1LSommaire du match
88 - 2025-10-24747Spirit3Fog1LSommaire du match
90 - 2025-10-26769Steelers4Fog1LSommaire du match
92 - 2025-10-28782Newfies2Fog4WSommaire du match
93 - 2025-10-29791Fog2Howlers3LSommaire du match
96 - 2025-11-01811Raiders2Fog1LSommaire du match
97 - 2025-11-02826Islanders2Fog1LSommaire du match
99 - 2025-11-04837Fog-Warhawks-
100 - 2025-11-05847Grizzlies-Fog-
102 - 2025-11-07862Force-Fog-
104 - 2025-11-09882Dragons-Fog-
106 - 2025-11-11898Lions-Fog-
108 - 2025-11-13913Invaders-Fog-
110 - 2025-11-15927Reds-Fog-
111 - 2025-11-16940Fog-Reign-
113 - 2025-11-18957Fog-Steelers-
114 - 2025-11-19964Firebirds-Fog-
116 - 2025-11-21976Fog-Gators-
118 - 2025-11-23986Fog-Spirit-
120 - 2025-11-251010Rapids-Fog-
121 - 2025-11-261017Fog-Mammoth-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
123 - 2025-11-281032Spirit-Fog-
125 - 2025-11-301051Fog-Reds-
127 - 2025-12-021066Berries-Fog-
128 - 2025-12-031075Reign-Fog-
130 - 2025-12-051081Fog-Spirit-
132 - 2025-12-071105Howlers-Fog-
134 - 2025-12-091119Reds-Fog-
135 - 2025-12-101130Spirit-Fog-
137 - 2025-12-121142Steelers-Fog-
141 - 2025-12-161166Fog-Berries-
142 - 2025-12-171178Berries-Fog-
144 - 2025-12-191191Fog-Berries-
146 - 2025-12-211203Fog-Steelers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
16 0 - 0.00% 0$0$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 3$ 0$ 125,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 56 817$ 45,752$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
45,752$ 0$ -45,752$



Charte de profondeur

Ailier gaucheCentreAilier droit
Dillon Gellert (R)AGE:20PO:77OV:72
Edvard HaugenAGE:18PO:71OV:68
Alfred Brehmer (R)AGE:16PO:99OV:61
Bozidar UnukAGE:18PO:74OV:60
Levi PoetaAGE:16PO:78OV:59
Reiner Volkmer (R)AGE:18PO:86OV:71
Domick Kea (R)AGE:19PO:67OV:70
Sebastian Aeby (R)AGE:17PO:78OV:67
Christian Bartik (R)AGE:18PO:64OV:65
Viktor Stenseth (R)AGE:16PO:72OV:63
Hans Knudsen (R)AGE:18PO:86OV:66
Enes RekeljAGE:18PO:73OV:66
Oto StafaAGE:16PO:95OV:65
Radim SrotAGE:16PO:98OV:61

Défense #1Défense #2Gardien
Radko Majer (R)AGE:17PO:93OV:71
Anson Weinberg (R)AGE:20PO:74OV:67
Marcel Spivak (R)AGE:18PO:74OV:67
Tjas Handanovic (R)AGE:17PO:69OV:66
Arthur FrivoldAGE:18PO:75OV:65
Benjamin EmblemAGE:18PO:78OV:64
Herman Meyer (R)AGE:17PO:80OV:61
Dmitry Ostafeichuk (R)AGE:16PO:89OV:60
Lennard Rosenthal (R)AGE:18PO:42OV:67
Igor Engver (R)AGE:19PO:40OV:64
Filipp ZapolskiAGE:16PO:72OV:62

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

Choix au repêchage

Année R1R2R3R4R5
6
7
8
9
10
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.




Fog Historique de transactions

[1/19/2026 8:51:33 PM] New Record for Team's Most Hits (37) in 1 Game for Fog!
[10/27/2025 1:27:01 PM] Viktor Stenseth was added to Fog.
[10/27/2025 12:53:28 PM] Gerald Shapland was released.
[10/27/2025 12:53:28 PM] Gerald Shapland retired from Fog



Dillon Gellert est dehors pour 1 jours à cause de Exhaustion.



Fog 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
1Yaroslav Zhidkikh393172139311-11138712717146011.78%220824720.995229811525492736947.42%20.75616
2Domick Kea36470149219-522818366947179.76%155643517.68183957511341513442.49%00.68411
3Konosuke Matsui22425176201-431121414438153.07%292551524.621550658003313300%00.7300
4Ivan Crete21610494198-1515053649091711.34%159435020.14263561632241715248.76%20.91210
5Dillon Gellert43410196197322577762896610.46%171711616.40231841604482519644.95%00.55616

Fog 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
1Gennady Lashkin322156129320.9032.881922324129249560488720160.76952
2Michal Diro1014933150.9042.8758208127828981369720.71252
3Brodie Helyar79442960.9232.2947416118123651481131.0008
4Henrick Polley64312380.9102.813678421721906934510.80015
5Lennard Rosenthal62222590.9012.903420001651669886320.7508

Fog 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
1803530066302241883640211104310122843840141902320102104-2942243615853150828310238872883081721241682635819281894523.81%1794276.54%6794163348.62%698140149.82%515104549.28%170895916507331473739
280303206831233237-4401413045311181071140161902300115130-15872333686014343948711250466595585046241283435218432086330.29%1775767.80%4829164250.49%723160245.13%519109847.27%170895816447351488746
280303206831233237-4401413045311181071140161902300115130-15872333686014343948711250466595585046241283435218432086330.29%1775767.80%4829164250.49%723160245.13%519109847.27%170895816447351488746
3803027081023244232124015150251211811444015120651112611889324439964323439398182390627898823752524812200419292114722.27%2075274.88%8770163047.24%858182047.14%580118748.86%162387717237791515740
482283108753231246-1541161405231127119841121703522104127-23922313776082045928117261670494393172245281566220401965025.51%2116768.25%4755165145.73%836179746.52%562113949.34%168692017307951564757
555152504821142162-20251011011117167430514037107195-2451142242384202948598159945357455228161053730413241233528.46%1534769.28%2483101847.45%526107748.84%35875547.42%110257411425411087527
Total Saison régulière4571681770384718913071302522690770202112667459876231781000182663633704-7150413072115342217102535034957514001384251554823288138264658403210907113530326.70%110432270.83%284460921648.39%4364929946.93%3053632248.29%953852479536432086174257
Séries éliminatoires
31156000002329-6532000001213-1624000001116-51023396210212813277012112793579835528816318.75%30873.33%09721245.75%13629446.26%6814546.90%219115243111210101
4161060000043412853000002120185300000222112043661091011161424921221871641947515978406451431.11%40977.50%213330743.32%14732545.23%10121846.33%336184338156308152
Total Séries éliminatoires271512000006670-4138500000333301477000003337-4306610517120132822381919230829128832257433694611727.87%701775.71%223051944.32%28361945.72%16936346.56%556299582268518254

Fog 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
1Yaroslav Zhidkikh27161026-67635715610.26%1364924.046281100015144.25%00.8011
2Domick Kea278152313965538010.00%952019.29156520221141.81%00.8800
3Dillon Gellert2761016-5195557728.33%1154120.06325600021157.14%00.5900
4Reiner Volkmer2741115-3775750596.78%1352219.34257801131148.28%00.5700
5Gerald Shapland27591454053414012.50%838314.21000000010042.28%00.7300

Fog 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
1Michal Diro1610510.9122.5193320394442300100
2Henrick Polley115510.9212.5067200283561540100
3Lennard Rosenthal20000.9671.205000130180000