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Mammoth
GP: 28 | W: 15 | L: 10 | OTL: 3 | P: 33
GF: 67 | GA: 62 | PP%: 26.39% | PK%: 76.00%
DG: | Morale : 40 | Moyenne d’équipe : 66
Prochains matchs #443 vs Newfies

Centre de jeu
Warhawks
17-7-5, 39pts
1
4 Mammoth
15-10-3, 33pts
Team Stats
W1SéquenceW2
8-1-4Fiche domicile8-5-1
9-6-1Fiche visiteur7-5-2
7-1-2Derniers 10 matchs6-4-0
2.90Buts par match 2.39
2.59Buts contre par match 2.21
31.51%Pourcentage en avantage numérique26.39%
72.60%Pourcentage en désavantage numérique76.00%
Menace
16-11-3, 35pts
2
3 Mammoth
15-10-3, 33pts
Team Stats
W1SéquenceW2
8-4-2Fiche domicile8-5-1
8-7-1Fiche visiteur7-5-2
5-3-2Derniers 10 matchs6-4-0
2.90Buts par match 2.39
2.97Buts contre par match 2.21
25.71%Pourcentage en avantage numérique26.39%
65.85%Pourcentage en désavantage numérique76.00%
Newfies
8-15-5, 21pts
2026-07-29
Mammoth
15-10-3, 33pts
Statistiques d’équipe
L2SéquenceW2
4-5-2Fiche domicile8-5-1
4-10-3Fiche visiteur7-5-2
4-5-110 derniers matchs6-4-0
2.07Buts par match 2.39
2.75Buts contre par match 2.39
18.52%Pourcentage en avantage numérique26.39%
72.73%Pourcentage en désavantage numérique76.00%
Mammoth
15-10-3, 33pts
2026-07-31
Mariners
13-11-5, 31pts
Statistiques d’équipe
W2SéquenceW1
8-5-1Fiche domicile8-5-2
7-5-2Fiche visiteur5-6-3
6-4-010 derniers matchs3-4-3
2.39Buts par match 2.83
2.21Buts contre par match 2.83
26.39%Pourcentage en avantage numérique21.54%
76.00%Pourcentage en désavantage numérique66.04%
Mammoth
15-10-3, 33pts
2026-08-01
Steelers
15-8-5, 35pts
Statistiques d’équipe
W2SéquenceW2
8-5-1Fiche domicile10-3-2
7-5-2Fiche visiteur5-5-3
6-4-010 derniers matchs6-2-2
2.39Buts par match 2.57
2.21Buts contre par match 2.57
26.39%Pourcentage en avantage numérique24.56%
76.00%Pourcentage en désavantage numérique67.24%
Meneurs d'équipe
Buts
Badri Donika
10
Passes
Lubomir Praus
16
Points
Badri Donika
25
Plus/Moins
Marshall Van Galder
6
Victoires
Stepan Chukh
14
Pourcentage d’arrêts
Stepan Chukh
0.927

Statistiques d’équipe
Buts pour
67
2.39 GFG
Tirs pour
890
31.79 Avg
Pourcentage en avantage numérique
26.4%
19 GF
Début de zone offensive
39.7%
Buts contre
62
2.21 GAA
Tirs contre
792
28.29 Avg
Pourcentage en désavantage numérique
76.0%%
18 GA
Début de la zone défensive
36.3%
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 estimées83,334$
Compte bancaire actuel0$
Compte bancaire projeté-83,334$


Historique d'équipe

Saison actuelle15-10-3 (33PTS)
Historique255-197-52 (0.506%)
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)0X100.0072475381817576506774757371575876407201910$
2Krystof Vejmola (R)0X98.8279533983786566666980578254696080407101910$
3R.J. Ernsting (R)0X100.0075606673726967606771737075756595406901610$
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 Koljo0X97.9974607050617253705666587263655774406401710$
10Asher Stambaugh (R)0X100.0065556963667254515174626673745583406401610$
11Irv Darby (R)0X100.0061625649746857744966755066697082406301710$
12Pasi Hoyhtya0X100.0066575573617074456056756160537486406301710$
13Antton Kuha0X96.1255605378677467666879706173635769406901710$
14Frowin Wendlandt (R)0X100.0076577165778079546545457455635160406801910$
15Emil Erbeznik0X100.0042676571726461736780635663715275406701910$
16Marshall Van Galder0X100.0066605552717476715964676571546075406601710$
17David Dobias0X100.0070585651706273496850347953656381406301710$
18Casper Axelsen (R)0X100.0069766053735457565263526957695694406301610$
Rayé
MOYENNE D’ÉQUIPE99.61686158667369685862666367646360804066
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)099.006775766061686465657356635278406701810$
2Miguel Horton (R)0100.004771707172677073517055687449406602010$
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 DonikaMammothLW28101525040433413345687.52%1554819.5743716531013522042.31%262910010.9100000213
2Lubomir PrausMammothC28816243140645958113613.79%1749417.67448853000033055.06%494117000.9700000141
3Antton KuhaMammothD2661622118034437227378.33%2663224.33459155300003710100.00%12918000.7000000211
4R.J. ErnstingMammothC2871118-440555962173411.29%1655019.651457541011501049.16%594168000.6500000113
5Krystof VejmolaMammothLW248816026049288533499.41%546419.352135430004422369.70%332713000.6900000210
6Emil ErbeznikMammothD2821416210016295237183.85%2962222.24156952011056000%01921000.5100000001
7Miloslav KacerekMammothRW287411510058344181017.07%1447116.84336445000032048.15%2706000.4700000101
8Frowin WendlandtMammothD28191004045643415142.94%3469224.72066256000055010%0428000.2900000001
9Jens-Otto ChristensenMammothLW28549-28040257619376.58%437713.47022210000261061.54%13214000.4800000021
10Marshall Van GalderMammothD280776100414526660%3161522.00011253011053000%0718000.2300000000
11Asher StambaughMammothRW28167-12032313712322.70%537613.43000080000151043.48%23106000.3700000000
12Venyamin LakizaMammothRW28336-38062535322465.66%1056920.360004540005500046.84%79269000.2100000000
13Irv DarbyMammothC2833652027125712185.26%52428.6700000000001040.51%79101000.4900000200
14Leander GrieseMammothLW280332120392920670%628010.0300002000040037.50%832000.2100000000
15Launo KoljoMammothC2821314038274310234.65%733011.8000000000000041.59%11323000.1800000000
16Pasi HoyhtyaMammothRW2830356021172661611.54%62458.7600000000001040.00%10115000.2400000011
17David DobiasMammothD28112060233046725.00%2836913.2000000000016000%0315000.1100000000
18Casper AxelsenMammothD28011020282710940%1437913.560000300007000%053000.0500000000
19Delmore ArnhardtFarm Team 17 (MAM)D6000100341020%0508.390000000003000%01000000000000
Statistiques d’équipe totales ou en moyenne504671221892115007186508903014647.53%272831416.50193453745462241546015450.20%1500234177010.4500000111113
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
1Stepan ChukhMammoth2214620.9271.99129704435863240000226440
2Miguel HortonMammoth71410.9082.9039300192061203000622001
Statistiques d’équipe totales ou en moyenne29151030.9222.20169004627924443002828441


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 : Stepan Chukh, #2 : Miguel Horton
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
1Chill2010010047-31000010023-11010000024-210.2504812001030682218271701218432150.00%9455.56%030359351.10%25954247.79%19135853.35%432442203717
2Dragons11000000422000000000001100000042221.00048120003103411158021190183133.33%000%030359351.10%25954247.79%19135853.35%2213189189
3Firebirds22000000523110000003211100000020241.0005712010320591523210582512609222.22%60100.00%130359351.10%25954247.79%19135853.35%422240183717
4Force311010007521010000013-22100100062440.6677132000141110023433311114420936116.67%10280.00%030359351.10%25954247.79%19135853.35%663662295525
5Gators21100000651110000003121010000034-120.5006121800114056201521055258647228.57%4175.00%030359351.10%25954247.79%19135853.35%432339183618
6Grizzlies2020000027-51010000012-11010000015-400.00024600002056221024052142050400.00%10370.00%030359351.10%25954247.79%19135853.35%371944213716
7Islanders21100000770110000004221010000035-220.50071320001420721335240702718485360.00%9366.67%030359351.10%25954247.79%19135853.35%422441173618
8Lions11000000303000000000001100000030321.00036901120027518402662212150.00%10100.00%030359351.10%25954247.79%19135853.35%19919102010
9Menace22000000835220000008350000000000041.0008122000224058161725063178548562.50%4175.00%030359351.10%25954247.79%19135853.35%412241193718
10Newfies11000000312000000000001100000031221.00036900030028314110215617200.00%3166.67%030359351.10%25954247.79%19135853.35%201018102110
11Nighthawks11000000202110000002020000000000021.000246012000341810602094245120.00%20100.00%030359351.10%25954247.79%19135853.35%26161481910
12Quake1010000024-2000000000001010000024-200.00023500011032117140195426300.00%2150.00%030359351.10%25954247.79%19135853.35%2314189189
13Rapids1010000012-11010000012-10000000000000.000123001000389151403012424100.00%20100.00%030359351.10%25954247.79%19135853.35%2212179199
14Reign1000010023-1000000000001000010023-110.500235000200283141103512622200.00%3166.67%030359351.10%25954247.79%19135853.35%2011219188
15Storm1010000015-41010000015-40000000000000.00012300010038519140347620100.00%3166.67%030359351.10%25954247.79%19135853.35%18102110198
16Terror22000000312110000002111100000010141.0003690101206218143003913647400.00%30100.00%030359351.10%25954247.79%19135853.35%432337203919
17Warhawks3110010078-1211000006601000010012-130.50071320001420100324226068208878225.00%40100.00%130359351.10%25954247.79%19135853.35%663658285828
Total28141001300676251485001003430414650120033321330.589671221890411312418902463293132792272150718721926.39%751876.00%230359351.10%25954247.79%19135853.35%600333558271532257
_Since Last GM Reset28141001300676251485001003430414650120033321330.589671221890411312418902463293132792272150718721926.39%751876.00%230359351.10%25954247.79%19135853.35%600333558271532257
_Vs Conference221180120054495117300100302371145011002426-2260.5915497151038222316901972422492631208124593581729.31%621575.81%230359351.10%25954247.79%19135853.35%469257446213415199
_Vs Division10620110025178642000001713442001100844150.7502544690141191320891161141281944228126830.77%21385.71%130359351.10%25954247.79%19135853.35%2171191999719092

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2833W26712218989079227215071804
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
28141013006762
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
148501003430
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
146512003332
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
721926.39%751876.00%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
24632931321131241
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
30359351.10%25954247.79%19135853.35%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
600333558271532257


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 - 2026-06-1569Mammoth2Firebirds0WSommaire du match
9 - 2026-06-1677Firebirds2Mammoth3WSommaire du match
11 - 2026-06-1895Mammoth3Gators4LSommaire du match
13 - 2026-06-20116Mammoth2Reign3LXSommaire du match
15 - 2026-06-22131Gators1Mammoth3WSommaire du match
16 - 2026-06-23139Terror1Mammoth2WSommaire du match
18 - 2026-06-25153Islanders2Mammoth4WSommaire du match
20 - 2026-06-27172Force3Mammoth1LSommaire du match
22 - 2026-06-29189Mammoth4Force1WSommaire du match
24 - 2026-07-01205Mammoth4Dragons2WSommaire du match
26 - 2026-07-03221Mammoth1Terror0WSommaire du match
27 - 2026-07-04231Warhawks5Mammoth2LSommaire du match
29 - 2026-07-06242Mammoth3Newfies1WSommaire du match
30 - 2026-07-07255Mammoth3Islanders5LSommaire du match
32 - 2026-07-09275Mammoth2Chill4LSommaire du match
34 - 2026-07-11296Mammoth3Lions0WSommaire du match
36 - 2026-07-13309Nighthawks0Mammoth2WSommaire du match
40 - 2026-07-17342Menace1Mammoth5WSommaire du match
41 - 2026-07-18350Mammoth2Quake4LSommaire du match
43 - 2026-07-20367Mammoth2Force1WXSommaire du match
44 - 2026-07-21375Mammoth1Grizzlies5LSommaire du match
46 - 2026-07-23391Grizzlies2Mammoth1LSommaire du match
48 - 2026-07-25409Warhawks1Mammoth4WSommaire du match
50 - 2026-07-27425Menace2Mammoth3WSommaire du match
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
27 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$ 102 817$ 83,334$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
83,334$ 0$ -83,334$



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 Chukh1195343140.9042.9467162532934231899610.53826
3Marco Rutherford80383380.9142.7346824021324861395540.68635
4Miguel Horton923633130.9033.0749142025125831464650.40020
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
62814100130067625148500100343041465012003332133671221890411312418902463293132792272150718721926.39%751876.00%230359351.10%25954247.79%19135853.35%600333558271532257
Total Saison régulière51220319703442181815281534-62561099501223107783753302569410202219811745781-365701528249840261583286145347316605505259085466310160205360470612642130235627.34%142540271.79%2652741090748.35%49471062946.54%3402720947.19%10872613310699483294644617
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