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Connexion

Mammoth
GP: 4 | W: 0 | L: 2 | OTL: 2 | P: 2
GF: 5 | GA: 12 | PP%: 16.67% | PK%: 81.82%
DG: | Morale : 40 | Moyenne d’équipe : 66
Prochains matchs #69 vs Firebirds

Centre de jeu
Storm
2-2-0, 4pts
5
1 Mammoth
0-2-2, 2pts
Team Stats
W2SéquenceOTL1
0-0-0Fiche domicile0-2-1
2-2-0Fiche visiteur0-0-1
2-2-0Derniers 10 matchs0-2-2
3.75Buts par match 1.25
3.75Buts contre par match 3.00
41.67%Pourcentage en avantage numérique16.67%
58.33%Pourcentage en désavantage numérique81.82%
Mammoth
0-2-2, 2pts
1
2 Warhawks
2-2-0, 4pts
Team Stats
OTL1SéquenceW1
0-2-1Fiche domicile2-0-0
0-0-1Fiche visiteur0-2-0
0-2-2Derniers 10 matchs2-2-0
1.25Buts par match 2.25
3.00Buts contre par match 3.50
16.67%Pourcentage en avantage numérique12.50%
81.82%Pourcentage en désavantage numérique45.45%
Mammoth
0-2-2, 2pts
2026-06-15
Firebirds
4-0-0, 8pts
Statistiques d’équipe
OTL1SéquenceW4
0-2-1Fiche domicile4-0-0
0-0-1Fiche visiteur0-0-0
0-2-210 derniers matchs4-0-0
1.25Buts par match 3.00
3.00Buts contre par match 3.00
16.67%Pourcentage en avantage numérique60.00%
81.82%Pourcentage en désavantage numérique100.00%
Firebirds
4-0-0, 8pts
2026-06-16
Mammoth
0-2-2, 2pts
Statistiques d’équipe
W4SéquenceOTL1
4-0-0Fiche domicile0-2-1
0-0-0Fiche visiteur0-0-1
4-0-010 derniers matchs0-2-2
3.00Buts par match 1.25
1.50Buts contre par match 1.25
60.00%Pourcentage en avantage numérique16.67%
100.00%Pourcentage en désavantage numérique81.82%
Mammoth
0-2-2, 2pts
2026-06-18
Gators
3-1-0, 6pts
Statistiques d’équipe
OTL1SéquenceW3
0-2-1Fiche domicile0-0-0
0-0-1Fiche visiteur3-1-0
0-2-210 derniers matchs3-1-0
1.25Buts par match 3.00
3.00Buts contre par match 3.00
16.67%Pourcentage en avantage numérique25.00%
81.82%Pourcentage en désavantage numérique50.00%
Meneurs d'équipe
Buts
Badri Donika
1
Passes
Badri Donika
2
Points
Badri Donika
3
Plus/Moins
Launo Koljo
0
Victoires
Miguel Horton
0
Pourcentage d’arrêts
Miguel Horton
0.926

Statistiques d’équipe
Buts pour
5
1.25 GFG
Tirs pour
139
34.75 Avg
Pourcentage en avantage numérique
16.7%
1 GF
Début de zone offensive
39.2%
Buts contre
12
3.00 GAA
Tirs contre
122
30.50 Avg
Pourcentage en désavantage numérique
81.8%%
2 GA
Début de la zone défensive
35.9%
Informations de l'équipe

Directeur général
EntraîneurEric Soukiala
DivisionMid
ConférenceAmerican
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomDuluth Entertainment Center
Capacité18,000
Assistance0
Billets de saison7,200


Informations de la formation

Équipe Pro20
Équipe Mineure5
Limite Contrat25 / 50
Espoirs0


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées120,099$
Compte bancaire actuel0$
Compte bancaire projeté-120,099$


Historique d'équipe

Saison actuelle0-2-2 (2PTS)
Historique240-189-51 (0.500%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0 - 4 (0.000%)
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
1Venyamin Lakiza (R)0X99.0072475381817576506774757371575876407201910$
2Krystof Vejmola (R)0X99.0079533983786566666980578254696080407101910$
3R.J. Ernsting (R)0X99.0075606673726967606771737075756595406901610$
4Badri Donika (R)0X100.0065696872767566725473665466585987406801810$
5Jens-Otto Christensen (R)0X100.0065706075755973576971745750505595406701610$
6Lubomir Praus (R)0X100.0067624973816072377868656471506775406501910$
7Leander Griese (R)0X100.0075644165797472505959537960645287406501810$
8Miloslav Kacerek (R)0X100.0081575064767282355451638174666767406401910$
9Launo Koljo0X100.0074607050617253705666587263655774406401710$
10Asher Stambaugh (R)0X100.0065556963667254515174626673745583406401610$
11Irv Darby (R)0X100.0061625649746857744966755066697082406301710$
12Pasi Hoyhtya0X100.0066575573617074456056756160537486406301710$
13Antton Kuha0X100.0055605378677467666879706173635769406901710$
14Frowin Wendlandt (R)0X99.0076577165778079546545457455635160406801910$
15Emil Erbeznik0X100.0042676571726461736780635663715275406701910$
16Marshall Van Galder0X100.0066605552717476715964676571546075406601710$
17David Dobias0X100.0070585651706273496850347953656381406301710$
18Casper Axelsen (R)0X100.0069766053735457565263526957695694406301610$
Rayé
MOYENNE D’ÉQUIPE99.78686158667369685862666367646360804066
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
1Stepan Chukh (R)0100.006775766061686465657356635278406701810$
2Miguel Horton (R)099.004771707172677073517055687449406602010$
Rayé
MOYENNE D’ÉQUIPE99.5057737366676867695872566663644067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Eric Soukiala86377189463473FIN412125,000$


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
1Badri DonikaMammothLW4123-20038235104.35%27819.5300013101190060.00%531000.7700000000
2Krystof VejmolaMammothLW4112-12079149137.14%07919.8600004000180066.67%981000.5000000000
3Frowin WendlandtMammothD4022-1001064320%210025.240111400008000%016000.4000000000
4Lubomir PrausMammothC4022-300867120%26817.0600013000000045.59%6830000.5900000000
5R.J. ErnstingMammothC4112-12061011489.09%17819.6901124000070044.30%7912000.5100000000
6Miloslav KacerekMammothRW4101-2008730233.33%06616.550000300000000%401000.3000000000
7Marshall Van GalderMammothD4011-1601266100%18421.090000301107000%032000.2400000000
8Antton KuhaMammothD4101-1602616366.25%49724.431014400005000%074000.2000000000
9Venyamin LakizaMammothRW4000-120459170%17819.7100014000170054.55%111000000000000
10Emil ErbeznikMammothD4000-100118540%38922.4100003000011000%03500000000000
11Leander GrieseMammothLW4000-300443000%0389.560000000000000%11000000000000
12Launo KoljoMammothC4000000755120%14812.2100000000000033.33%150100000000000
13Irv DarbyMammothC4000-200205140%1369.0000000000000025.00%121000000000000
14Pasi HoyhtyaMammothRW4000-200344020%1369.000000000000000%11300000000000
15David DobiasMammothD4000-300161320%46015.040000000005000%00100000000000
16Jens-Otto ChristensenMammothLW40000408411060%05112.90000000000000100.00%24200000000000
17Casper AxelsenMammothD4000-300522200%15413.680000000000000%01000000000000
18Asher StambaughMammothRW4000000347130%15313.4400000000030050.00%61300000000000
Statistiques d’équipe totales ou en moyenne725914-27220949313940733.60%25120116.6912310411123760044.13%2133932000.2300000000
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
1Miguel HortonMammoth20110.9261.971220045431000022000
2Stepan ChukhMammoth20110.8823.901230086835000022000
Statistiques d’équipe totales ou en moyenne40220.9022.9324600121226600044000


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
Antton KuhaMammothD172011-09-07FINNo210 Lbs6 ft2NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Asher StambaughMammothRW162012-03-30USAYes185 Lbs6 ft1NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Badri DonikaMammothLW182010-08-25UKRYes197 Lbs5 ft11NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Casper AxelsenMammothD162012-01-22NORYes190 Lbs6 ft0NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
David DobiasMammothD172011-12-13SVKNo231 Lbs6 ft2NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Emil ErbeznikMammothD192009-12-10SVKNo183 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Frowin WendlandtMammothD192009-11-14GERYes204 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Irv DarbyMammothC172011-12-07USAYes175 Lbs5 ft11NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Jens-Otto ChristensenMammothLW162012-12-18DENYes208 Lbs6 ft1NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Krystof VejmolaMammothLW192009-12-13CZEYes174 Lbs5 ft11NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Launo KoljoMammothC172011-04-16FINNo207 Lbs6 ft1NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Leander GrieseMammothLW182010-01-30GERYes192 Lbs6 ft2NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Lubomir PrausMammothC192009-12-25CZEYes192 Lbs6 ft3NoNoAssign ManuallyNoNo12026-06-02FalseFalsePro & Farm0$0$No---------------------------
Marshall Van GalderMammothD172011-09-27CANNo194 Lbs6 ft1NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Miguel HortonMammothG202008-12-27CANYes229 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Miloslav KacerekMammothRW192009-01-30CZEYes203 Lbs6 ft6NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Pasi HoyhtyaMammothRW172011-01-12FINNo173 Lbs5 ft11NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
R.J. ErnstingMammothC162012-11-01CANYes206 Lbs6 ft5NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Stepan ChukhMammothG182010-06-12BLRYes187 Lbs5 ft10NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Venyamin LakizaMammothRW192009-05-23RUSYes184 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2017.70196 Lbs6 ft21.000$

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



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Krystof VejmolaR.J. ErnstingVenyamin Lakiza35122
2Badri DonikaLubomir PrausMiloslav Kacerek35122
3Jens-Otto ChristensenLauno KoljoAsher Stambaugh20122
4Leander GrieseIrv DarbyPasi Hoyhtya10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Antton KuhaFrowin Wendlandt35122
2Emil ErbeznikMarshall Van Galder35122
3Casper AxelsenDavid Dobias20122
4Antton KuhaFrowin Wendlandt10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Krystof VejmolaR.J. ErnstingVenyamin Lakiza50122
2Badri DonikaLubomir PrausMiloslav Kacerek50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Antton KuhaFrowin Wendlandt50122
2Emil ErbeznikMarshall Van Galder50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Venyamin LakizaKrystof Vejmola50122
2R.J. ErnstingBadri Donika50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Antton KuhaFrowin Wendlandt50122
2Emil ErbeznikMarshall Van Galder50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Venyamin Lakiza50122Antton KuhaFrowin Wendlandt50122
2Krystof Vejmola50122Emil ErbeznikMarshall Van Galder50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Venyamin LakizaKrystof Vejmola50122
2R.J. ErnstingBadri Donika50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Antton KuhaFrowin Wendlandt50122
2Emil ErbeznikMarshall Van Galder50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Krystof VejmolaR.J. ErnstingVenyamin LakizaAntton KuhaFrowin Wendlandt
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Krystof VejmolaR.J. ErnstingVenyamin LakizaAntton KuhaFrowin Wendlandt
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jens-Otto Christensen, Leander Griese, Asher StambaughJens-Otto Christensen, Leander GrieseAsher Stambaugh
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Casper Axelsen, David Dobias, Emil ErbeznikCasper AxelsenDavid Dobias, Emil Erbeznik
Tirs de pénalité
Venyamin Lakiza, Krystof Vejmola, R.J. Ernsting, Badri Donika, Jens-Otto Christensen
Gardien
#1 : Miguel Horton, #2 : Stepan Chukh
Lignes d’attaque personnalisées en prolongation
Venyamin Lakiza, Krystof Vejmola, R.J. Ernsting, Badri Donika, Jens-Otto Christensen, Lubomir Praus, Leander Griese, Miloslav Kacerek, Asher Stambaugh, Launo Koljo
Lignes de défense personnalisées en prolongation
Antton Kuha, Frowin Wendlandt, Emil Erbeznik, Marshall Van Galder, Casper Axelsen


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
TotalDomicile Visiteur
# 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 RI
1Chill1000010023-11000010023-10000000000010.5002460000203010109134481911100.00%4175.00%0388246.34%297538.67%275251.92%21112210198
2Rapids1010000012-11010000012-10000000000000.000123001000389151403012424100.00%20100.00%0388246.34%297538.67%275251.92%2212179199
3Storm1010000015-41010000015-40000000000000.00012300010038519140347620100.00%3166.67%0388246.34%297538.67%275251.92%18102110198
4Warhawks1000010012-1000000000001000010012-110.50011200010033912120242431300.00%20100.00%1388246.34%297538.67%275251.92%221118102210
Total40200200512-730200100410-61000010012-120.250591400122013933564911222522946116.67%11281.82%1388246.34%297538.67%275251.92%854780408037
_Since Last GM Reset40200200512-730200100410-61000010012-120.250591400122013933564911222522946116.67%11281.82%1388246.34%297538.67%275251.92%854780408037
_Vs Conference2000020035-21000010023-11000010012-120.50035800012063192221158612504125.00%6183.33%1388246.34%297538.67%275251.92%442341214118
_Vs Division1000010012-1000000000001000010012-110.50011200010033912120242431300.00%20100.00%1388246.34%297538.67%275251.92%221118102210

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
42OTL1591413912225229400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4020200512
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3020100410
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
100010012
Derniers 10 matchs
WLOTWOTL SOWSOL
020200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
6116.67%11281.82%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
33564911220
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
388246.34%297538.67%275251.92%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
854780408037


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 - 2026-06-087Chill3Mammoth2LXSommaire du match
2 - 2026-06-0921Rapids2Mammoth1LSommaire du match
4 - 2026-06-1137Storm5Mammoth1LSommaire du match
6 - 2026-06-1354Mammoth1Warhawks2LXSommaire du match
8 - 2026-06-1569Mammoth-Firebirds-
9 - 2026-06-1677Firebirds-Mammoth-
11 - 2026-06-1895Mammoth-Gators-
13 - 2026-06-20116Mammoth-Reign-
15 - 2026-06-22131Gators-Mammoth-
16 - 2026-06-23139Terror-Mammoth-
18 - 2026-06-25153Islanders-Mammoth-
20 - 2026-06-27172Force-Mammoth-
22 - 2026-06-29189Mammoth-Force-
24 - 2026-07-01205Mammoth-Dragons-
26 - 2026-07-03221Mammoth-Terror-
27 - 2026-07-04231Warhawks-Mammoth-
29 - 2026-07-06242Mammoth-Newfies-
30 - 2026-07-07255Mammoth-Islanders-
32 - 2026-07-09275Mammoth-Chill-
34 - 2026-07-11296Mammoth-Lions-
36 - 2026-07-13309Nighthawks-Mammoth-
40 - 2026-07-17342Menace-Mammoth-
41 - 2026-07-18350Mammoth-Quake-
43 - 2026-07-20367Mammoth-Force-
44 - 2026-07-21375Mammoth-Grizzlies-
46 - 2026-07-23391Grizzlies-Mammoth-
48 - 2026-07-25409Warhawks-Mammoth-
50 - 2026-07-27425Menace-Mammoth-
52 - 2026-07-29443Newfies-Mammoth-
54 - 2026-07-31458Mammoth-Mariners-
55 - 2026-08-01477Mammoth-Steelers-
57 - 2026-08-03478Mammoth-Storm-
58 - 2026-08-04497Mammoth-Warhawks-
60 - 2026-08-06511Mammoth-Terror-
62 - 2026-08-08536Mammoth-Berries-
64 - 2026-08-10545Lions-Mammoth-
66 - 2026-08-12562Raiders-Mammoth-
68 - 2026-08-14580Mammoth-Reds-
69 - 2026-08-15586Spirit-Mammoth-
71 - 2026-08-17600Mammoth-Raiders-
72 - 2026-08-18614Mammoth-Hellcats-
76 - 2026-08-22649Mammoth-Howlers-
78 - 2026-08-24660Reds-Mammoth-
80 - 2026-08-26680Howlers-Mammoth-
82 - 2026-08-28694Mammoth-Fog-
83 - 2026-08-29700Mammoth-Invaders-
85 - 2026-08-31722Invaders-Mammoth-
87 - 2026-09-02736Mammoth-Rapids-
89 - 2026-09-04750Mammoth-Nighthawks-
90 - 2026-09-05765Reapers-Mammoth-
92 - 2026-09-07776Terror-Mammoth-
94 - 2026-09-09797Mammoth-Aviators-
96 - 2026-09-11809Mammoth-Reapers-
97 - 2026-09-12820Mammoth-Menace-
100 - 2026-09-15844Force-Mammoth-
102 - 2026-09-17859Aviators-Mammoth-
104 - 2026-09-19876Quake-Mammoth-
106 - 2026-09-21890Berries-Mammoth-
107 - 2026-09-22904Reign-Mammoth-
109 - 2026-09-24916Steelers-Mammoth-
111 - 2026-09-26937Warhawks-Mammoth-
113 - 2026-09-28950Dragons-Mammoth-
115 - 2026-09-30968Hellcats-Mammoth-
117 - 2026-10-02980Force-Mammoth-
118 - 2026-10-03994Force-Mammoth-
120 - 2026-10-051004Mariners-Mammoth-
121 - 2026-10-061017Fog-Mammoth-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
123 - 2026-10-081029Mammoth-Force-
125 - 2026-10-101045Mammoth-Menace-
127 - 2026-10-121061Menace-Mammoth-
129 - 2026-10-141077Mammoth-Warhawks-
132 - 2026-10-171100Mammoth-Terror-
134 - 2026-10-191107Mammoth-Spirit-
137 - 2026-10-221136Mammoth-Menace-
139 - 2026-10-241150Mammoth-Force-
141 - 2026-10-261162Terror-Mammoth-
142 - 2026-10-271174Terror-Mammoth-
144 - 2026-10-291186Warhawks-Mammoth-
146 - 2026-10-311199Menace-Mammoth-
148 - 2026-11-021209Mammoth-Terror-
150 - 2026-11-041216Mammoth-Warhawks-
153 - 2026-11-071230Mammoth-Menace-



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 jourCapacité de l’arénaPopularité de l’équipe
38 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$ 0$ 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$ 147 817$ 120,099$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
120,099$ 0$ -120,099$



Charte de profondeur

Ailier gaucheCentreAilier droit
Krystof Vejmola (R)AGE:19PO:80OV:71
Badri Donika (R)AGE:18PO:87OV:68
Jens-Otto Christensen (R)AGE:16PO:95OV:67
Leander Griese (R)AGE:18PO:87OV:65
R.J. Ernsting (R)AGE:16PO:95OV:69
Lubomir Praus (R)AGE:19PO:75OV:65
Launo KoljoAGE:17PO:74OV:64
Irv Darby (R)AGE:17PO:82OV:63
Erik Kvaale (R)AGE:19PO:62OV:61
Venyamin Lakiza (R)AGE:19PO:76OV:72
Asher Stambaugh (R)AGE:16PO:83OV:64
Miloslav Kacerek (R)AGE:19PO:67OV:64
Pasi HoyhtyaAGE:17PO:86OV:63
Curtis Astorino (R)AGE:18PO:92OV:61

Défense #1Défense #2Gardien
Antton KuhaAGE:17PO:69OV:69
Frowin Wendlandt (R)AGE:19PO:60OV:68
Emil ErbeznikAGE:19PO:75OV:67
Marshall Van GalderAGE:17PO:75OV:66
Casper Axelsen (R)AGE:16PO:94OV:63
David DobiasAGE:17PO:81OV:63
Delmore Arnhardt (R)AGE:18PO:75OV:62
Kalle Isopoussu (R)AGE:19PO:75OV:59
Stepan Chukh (R)AGE:18PO:78OV:67
Miguel Horton (R)AGE:20PO:49OV:66
Theodore Fife (R)AGE:18PO:88OV:65

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
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.




Mammoth Historique de transactions

[6/2/2026 6:40:37 AM] Lubomir Praus was added to Mammoth.
[6/2/2026 6:35:24 AM] Jakob Mirc was released.
[6/2/2026 6:35:24 AM] Jakob Mirc retired from Mammoth



Pas de blessure ou de suspension.


Mammoth 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
1Diederik Van Der Loo38517824442213202885566136213.07%186817521.2454951491351011115372140.14%01.03425
2Rawley Pryor506160252412426489499316469.72%238923018.2438971351565163319957.78%20.8917
3Boris Nenakhov54420320640954358870967174211.65%214908316.7030711018621320181240.77%00.901018
4Andre Corrigall441140187327568939660126411.08%289854219.3745307514010131211037.30%30.77414
5Isiah Bruton3361211793002338502424112310.77%151732821.8192938710882013654.05%00.82817

Mammoth 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
1Kenneth Kris391208142370.9062.892306922511101176262752770.87185
2Stepan Chukh993938130.8993.1855422129429051610610.53826
3Marco Rutherford80383380.9142.7346824021324861395540.68635
4Miguel Horton873530130.9033.0546432023624311375350.40020
5Dylan Cliche338140.8973.16125300666383431000

Mammoth 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
180283404563218229-1140151602331106107-140131802232112122-10842183515694047827918256081586685263257983945619351724425.58%2275874.45%4719165543.44%732164644.47%495109745.12%166293517197491472716
280322808741252238144015150243112311764017130631012912189625240966111531087913265484391985750246379639418921935025.91%1985771.21%5871171550.79%773164946.88%555113348.98%1743101216467411460718
280322808741252238144015150243112311764017130631012912189625240966111531087913265484391985750246379639418921935025.91%1985771.21%5871171550.79%773164946.88%555113348.98%1743101216467411460718
380333106811240231940161703400118120-24017140341112211111892403776173164987192590798977789392503843218020622386527.31%2767273.91%2850177747.83%860181847.30%540114447.20%166290416807671495733
482343102825239243-441231201401142120224111190142497123-26892393926315050919410257476591087349259389670220292227332.88%2386174.37%4902174851.60%773162047.72%531113846.66%170293317237881544749
582303505417260293-3341171502313137142-541132003104123151-28832604386981150961089268374298892557262791843021142125525.94%2137962.91%4758170444.48%777170545.57%535120644.36%1757100017257731499724
640200200512-730200100410-61000010012-12591400122013933564911222522946116.67%11281.82%1388246.34%297538.67%275251.92%854780408037
Total Saison régulière48818918903341181814661484-18245101920122310775373320243889702118811713751-385391466238538511543185855127215854483956355202309153505113457812018123633827.35%136138671.64%2550091039648.18%47171016246.42%3238690346.91%10357584710220460290124397
Séries éliminatoires
340400000821-1320200000310-720200000511-60814220033201164241330131362339910220.00%191047.37%1499551.58%4410741.12%418250.00%774086397636
Total Séries éliminatoires40400000821-1320200000310-720200000511-60814220033201164241330131362339910220.00%191047.37%1499551.58%4410741.12%418250.00%774086397636

Mammoth 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
1Jakob Mirc4033121480%14511.48000000000055.17%01.3100
2Marcel Kacmarik4033-1202470%29523.8601110001000%00.6300
3Boris Nenakhov4022-3341111140%26315.91011100010048.96%00.6300
4Jakob Vanderveeken41120592147.14%06015.1100000000000%00.6600
5Jaedon Crummy420211986633.33%04611.5000000000000%00.8700

Mammoth 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
1Dylan Cliche10000.8754.743800324120000
2Kenneth Kris40400.8325.372010018107480000