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Connexion

Storm
GP: 39 | W: 25 | L: 13 | OTL: 1 | P: 51
GF: 111 | GA: 93 | PP%: 30.21% | PK%: 66.02%
DG: | Morale : 40 | Moyenne d’équipe : 67
Prochains matchs #581 vs Firebirds

Centre de jeu
Storm
25-13-1, 51pts
2
1 Gators
22-16-1, 45pts
Team Stats
W4SéquenceL1
14-4-1Fiche domicile11-6-1
11-9-0Fiche visiteur11-10-0
5-4-1Derniers 10 matchs5-4-1
2.85Buts par match 2.77
2.38Buts contre par match 2.77
30.21%Pourcentage en avantage numérique30.30%
66.02%Pourcentage en désavantage numérique67.44%
Menace
20-14-5, 45pts
2
3 Storm
25-13-1, 51pts
Team Stats
OTL1SéquenceW4
11-5-2Fiche domicile14-4-1
9-9-3Fiche visiteur11-9-0
5-3-2Derniers 10 matchs5-4-1
2.85Buts par match 2.85
2.85Buts contre par match 2.38
27.84%Pourcentage en avantage numérique30.21%
67.29%Pourcentage en désavantage numérique66.02%
Firebirds
17-18-3, 37pts
2026-08-15
Storm
25-13-1, 51pts
Statistiques d’équipe
L1SéquenceW4
12-4-2Fiche domicile14-4-1
5-14-1Fiche visiteur11-9-0
5-3-210 derniers matchs5-4-1
2.68Buts par match 2.85
2.89Buts contre par match 2.85
39.24%Pourcentage en avantage numérique30.21%
68.57%Pourcentage en désavantage numérique66.02%
Storm
25-13-1, 51pts
2026-08-17
Quake
17-17-5, 39pts
Statistiques d’équipe
W4SéquenceW1
14-4-1Fiche domicile9-9-3
11-9-0Fiche visiteur8-8-2
5-4-110 derniers matchs2-7-1
2.85Buts par match 2.28
2.38Buts contre par match 2.28
30.21%Pourcentage en avantage numérique21.33%
66.02%Pourcentage en désavantage numérique75.00%
Reign
16-15-8, 40pts
2026-08-19
Storm
25-13-1, 51pts
Statistiques d’équipe
L4SéquenceW4
9-6-3Fiche domicile14-4-1
7-9-5Fiche visiteur11-9-0
4-5-110 derniers matchs5-4-1
2.54Buts par match 2.85
2.79Buts contre par match 2.85
33.33%Pourcentage en avantage numérique30.21%
74.12%Pourcentage en désavantage numérique66.02%
Meneurs d'équipe
Buts
Ivan Sumin
22
Passes
Veli-Petri Vavuli
24
Points
Filip Freden
37
Plus/Moins
Filip Freden
12
Victoires
Daniil Dauge
17
Pourcentage d’arrêts
Daniil Dauge
0.922

Statistiques d’équipe
Buts pour
111
2.85 GFG
Tirs pour
1117
28.64 Avg
Pourcentage en avantage numérique
30.2%
29 GF
Début de zone offensive
37.7%
Buts contre
93
2.38 GAA
Tirs contre
1171
30.03 Avg
Pourcentage en désavantage numérique
66.0%%
35 GA
Début de la zone défensive
36.3%
Informations de l'équipe

Directeur général
EntraîneurElias Heikkinen
DivisionWest
ConférenceCanadian
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomLadner Leisure Centre
Capacité5,000
Assistance0
Billets de saison2,000


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 estimées56,244$
Compte bancaire actuel0$
Compte bancaire projeté-56,244$


Historique d'équipe

Saison actuelle25-13-1 (51PTS)
Historique118-71-24 (0.554%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)16 - 16 (0.500%)
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
1Niko-Veikka Lindsten0X96.0078626860728175696084677976837773407301831$
2Veli-Petri Vavuli (R)0X100.0058626284728776486580608260715577407201931$
3Aleksandr Podgaisky0X99.0076544970866967656478737969516464407201831$
4Filip Freden0X99.0058565267837379576772617356665768406901831$
5Rene Benge (R)0X100.0074584363638081486064698166646064406701831$
6Ivan Sumin (R)0X100.0054707275746064755954667473516695406601610$
7Zinoviy Zubrytskyi (R)0X100.0060615570776558565863637864586475406501610$
8Filip Mocnik (R)0X100.0058556765645865566861707060656181406401910$
9Ignat Sanakoyev (R)0X100.0061555177705672395662756772755790406301610$
10Craig Broadwater (R)0X100.0073706774635065507257667364617471406301610$
11Bryan Rice (R)0X100.0072557568625968605057616162515090406201610$
12Svit Auber0X99.0072586775738672756265637756556060407301831$
13Edgars Cuksts (R)0X100.0084716682717071697156727764756182407201831$
14Jayce Troy0X100.0084656278686162437246318270625477406601831$
15Wiktor Lindtveit (R)0X100.0062606761627366687158684858535386406301831$
16Andrey Vikstrem (R)0X100.0031566468726561716274486964517586406301710$
17Aldo Gamperli (R)0X100.0037607466626169605063636853646766406201710$
Rayé
1Sigfrid Ikaheimonen (R)0X91.2664717370796773476639507261496389406601831$
MOYENNE D’ÉQUIPE99.13646163717168695963636373646162774067
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
1Daniil Dauge099.008060788075636972657174715977407101831$
2Selmer Digernes0100.007272577869636378836478597953407001931$
Rayé
MOYENNE D’ÉQUIPE99.5076666879726366757468766569654071
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Elias Heikkinen64995770628754FIN524100,000$


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
1Filip FredenStormRW39152237122209162113276913.27%2078320.10391210651122574155.81%433315010.9400000432
2Niko-Veikka LindstenStormLW3916203641409469129278012.40%2491523.48641015692136603351.97%1522222000.7934000740
3Ivan SuminStormC392212347603979138377315.94%2670618.1195141665000003043.97%5802911020.9600000525
4Veli-Petri VavuliStormC39824323160528879315610.13%2076919.73281011701234623051.11%7673114000.8324000131
5Aleksandr PodgaiskyStormRW3913183133208458113328511.50%1775519.37491313681125530346.72%1222713000.8211000124
6Svit AuberStormD3941923216061698521444.71%5498825.34325470011158200%02925000.4700000030
7Zinoviy ZubrytskyiStormLW399716612064479826459.18%956814.5800003000014042.11%19149000.5600000041
8Filip MocnikStormC393111448044527123424.23%855514.2400002000061152.79%197175000.5000000011
9Craig BroadwaterStormRW397512640622863243911.11%850012.8200000000002140.00%101410000.4800000012
10Rene BengeStormLW3928107380100644517334.44%1474719.16033365000060067.65%34129000.2700000003
11Sigfrid IkaheimonenStormD39448740284934151411.76%4682821.23112163101166020%1210000.1900000001
12Edgars CukstsStormD3916726054496428191.56%4283321.36022571000162000%01827000.1700000101
13Jayce TroyStormD39134616066592610183.85%4481820.99123463000061000%0833000.1000000000
14Ignat SanakoyevStormC381340203026136147.69%73348.81000000000230053.44%13167000.2400000000
15Bryan RiceStormRW3922412027172041710.00%62837.27000010000000100.00%111000.2800000000
16Andrey VikstremStormD39033112053012780%1752013.3600000011018000%0315000.1200000000
17Wiktor LindtveitStormD39011900221812560%951913.330000500000000%0610000.0400000000
18Yannick PappFarm Team 25 (STM)LW1000-100000000%066.100000000000000%00000000000000
19Aldo GamperliStormD390000003112000%32155.520000000006000%00400000000000
Statistiques d’équipe totales ou en moyenne70210816827689200092687511173406629.67%3741165016.6029457482685671320546221149.44%2057272240030.4769000192321
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
1Daniil DaugeStorm28171010.9222.3916850067862492100.60052811322
2Selmer DigernesStorm128300.9192.196846225309173000.80051128212
Statistiques d’équipe totales ou en moyenne40251310.9212.3323706292117166510103939534


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
Aldo GamperliStormD172011-11-24SUIYes210 Lbs6 ft1NoNoAssign ManuallyNoNo12025-10-20FalseFalsePro & Farm0$0$No---------------------------
Aleksandr PodgaiskyStormRW182010-05-12RUSNo215 Lbs6 ft7NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Andrey VikstremStormD172011-06-22RUSYes188 Lbs5 ft11NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Bryan RiceStormRW162012-06-19CANYes235 Lbs6 ft5NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Craig BroadwaterStormRW162012-09-12USAYes191 Lbs6 ft1NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Daniil DaugeStormG182010-04-12RUSNo214 Lbs6 ft9NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Edgars CukstsStormD182010-11-25LATYes195 Lbs5 ft8NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Filip FredenStormRW182010-11-16SWENo172 Lbs5 ft9NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Filip MocnikStormC192009-11-10SLOYes177 Lbs6 ft4NoNoAssign ManuallyNoNo12025-06-09FalseFalsePro & Farm0$0$No---------------------------
Ignat SanakoyevStormC162012-10-17RUSYes175 Lbs6 ft1NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Ivan SuminStormC162012-06-16RUSYes199 Lbs6 ft1NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Jayce TroyStormD182010-03-30USANo174 Lbs5 ft9NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Niko-Veikka LindstenStormLW182010-02-25FINNo222 Lbs6 ft3NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Rene BengeStormLW182010-10-16USAYes201 Lbs6 ft3NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Selmer DigernesStormG192009-07-31NORNo208 Lbs6 ft6NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Sigfrid Ikaheimonen (sur la masse salariale)StormD182010-10-07FINYes224 Lbs6 ft9NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Svit AuberStormD182010-11-23SLONo223 Lbs6 ft7NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Veli-Petri VavuliStormC192009-11-23FINYes209 Lbs6 ft1NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Wiktor LindtveitStormD182010-02-11NORYes182 Lbs5 ft9NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Zinoviy ZubrytskyiStormLW162012-08-09UKRYes200 Lbs5 ft9NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2017.55201 Lbs6 ft22.201$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
12$12$12$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Niko-Veikka LindstenVeli-Petri VavuliAleksandr Podgaisky35122
2Rene BengeIvan SuminFilip Freden35122
3Zinoviy ZubrytskyiFilip MocnikCraig Broadwater20122
4Niko-Veikka LindstenIgnat SanakoyevBryan Rice10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Svit AuberEdgars Cuksts35122
2Jayce Troy35122
3Wiktor LindtveitAndrey Vikstrem20122
4Aldo GamperliSvit Auber10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Niko-Veikka LindstenVeli-Petri VavuliAleksandr Podgaisky50122
2Rene BengeIvan SuminFilip Freden50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Svit AuberEdgars Cuksts50122
2Jayce Troy50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Niko-Veikka LindstenVeli-Petri Vavuli50122
2Aleksandr PodgaiskyFilip Freden50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Svit AuberEdgars Cuksts50122
2Jayce Troy50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Niko-Veikka Lindsten50122Svit AuberEdgars Cuksts50122
2Veli-Petri Vavuli50122Jayce Troy50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Niko-Veikka LindstenVeli-Petri Vavuli50122
2Aleksandr PodgaiskyFilip Freden50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Svit AuberEdgars Cuksts50122
2Jayce Troy50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Niko-Veikka LindstenVeli-Petri VavuliAleksandr PodgaiskySvit AuberEdgars Cuksts
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Niko-Veikka LindstenVeli-Petri VavuliAleksandr PodgaiskySvit AuberEdgars Cuksts
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zinoviy Zubrytskyi, Filip Mocnik, Ignat SanakoyevZinoviy Zubrytskyi, Filip MocnikIgnat Sanakoyev
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Wiktor Lindtveit, Andrey Vikstrem, Aldo GamperliWiktor LindtveitAndrey Vikstrem, Aldo Gamperli
Tirs de pénalité
Niko-Veikka Lindsten, Veli-Petri Vavuli, Aleksandr Podgaisky, Filip Freden, Rene Benge
Gardien
#1 : Daniil Dauge, #2 : Selmer Digernes
Lignes d’attaque personnalisées en prolongation
Niko-Veikka Lindsten, Veli-Petri Vavuli, Aleksandr Podgaisky, Filip Freden, Rene Benge, Ivan Sumin, Zinoviy Zubrytskyi, Filip Mocnik, Ignat Sanakoyev, Craig Broadwater
Lignes de défense personnalisées en prolongation
Svit Auber, Edgars Cuksts, Jayce Troy, , Wiktor Lindtveit


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
1Aviators411020001293201010005502100100074360.7501214260035221082936394131382010313430.77%10460.00%239576151.91%35373248.22%26952651.14%824080378242
2Chill11000000312110000003120000000000021.00034700012022931002482253266.67%10100.00%039576151.91%35373248.22%26952651.14%1981882211
3Dragons21100000642110000004131010000023-120.5006111700051066232419061188475120.00%4325.00%039576151.91%35373248.22%26952651.14%452738163518
4Firebirds1010000013-2000000000001010000013-200.0001230010003291670299825200.00%4175.00%039576151.91%35373248.22%26952651.14%2010209198
5Fog11000000312110000003120000000000021.0003470002103714176035822511100.00%10100.00%039576151.91%35373248.22%26952651.14%21121981810
6Force1010000014-3000000000001010000014-300.00011200001026108803311627400.00%3166.67%139576151.91%35373248.22%26952651.14%20102091810
7Gators21001000743110000005321000100021141.0007111800231164182122342292498337.50%110.00%039576151.91%35373248.22%26952651.14%422336194121
8Howlers3020100068-2100010003212020000036-320.3336121800113174132039210629225710220.00%11463.64%039576151.91%35373248.22%26952651.14%572662296131
9Invaders11000000312110000003120000000000021.00034700030023415402372213133.33%10100.00%039576151.91%35373248.22%26952651.14%18920102010
10Islanders1010000023-1000000000001010000023-100.00023500011035161180429421100.00%20100.00%039576151.91%35373248.22%26952651.14%2011208188
11Lions10001000321000000000001000100032121.0003470000212329102306617100.00%30100.00%239576151.91%35373248.22%26952651.14%18818102311
12Mammoth210000018531000000134-11100000051430.75081321001430661725215712210517342.86%5260.00%039576151.91%35373248.22%26952651.14%452439184021
13Mariners10001000211000000000001000100021121.000246000011256694284221100.00%10100.00%039576151.91%35373248.22%26952651.14%19102311199
14Menace21001000642100010003211100000032141.00061117001131641821241662612439333.33%6183.33%039576151.91%35373248.22%26952651.14%442540183517
15Newfies21100000422110000003031010000012-120.500481201031057113016054221442200.00%7185.71%039576151.91%35373248.22%26952651.14%412239193918
16Nighthawks11000000321110000003210000000000021.00033600030029218902696202150.00%3166.67%039576151.91%35373248.22%26952651.14%19102110189
17Quake11000000202110000002020000000000021.0002240102002431740192626300.00%30100.00%039576151.91%35373248.22%26952651.14%20101892011
18Rapids31101000911-22110000047-31000100054140.66791625000261902123442952720735120.00%10370.00%039576151.91%35373248.22%26952651.14%572964316129
19Reapers11000000633000000000001100000063321.0006814001230315131303612829200.00%4250.00%039576151.91%35373248.22%26952651.14%1910219189
20Reds2010001034-1100000102111010000013-220.50034700020252231113753131055200.00%5180.00%039576151.91%35373248.22%26952651.14%391942214320
21Reign30100020121111010000023-120000020108240.667121628004424762134188804516737457.14%8537.50%039576151.91%35373248.22%26952651.14%572969316230
22Spirit21100000761110000004131010000035-220.50071017001150601518270531316494250.00%8362.50%139576151.91%35373248.22%26952651.14%412137184020
23Terror1010000024-21010000024-20000000000000.0002350001103312912034742711100.00%220.00%039576151.91%35373248.22%26952651.14%2011218179
Total391413080311119318191040301154381620490502057552510.65411116827902154639141117301405382381171374206926962930.21%1033566.02%639576151.91%35373248.22%26952651.14%796416796376780392
_Since Last GM Reset391413080311119318191040301154381620490502057552510.65411116827902154639141117301405382381171374206926962930.21%1033566.02%639576151.91%35373248.22%26952651.14%796416796376780392
_Vs Conference247905030675981263020103323101216030203436-2300.6256710216901928221167417823723927722226136565521630.77%682563.24%339576151.91%35373248.22%26952651.14%485250499234482241
_Vs Division13250402039390613020001417-37120202025223160.61539589700812138348841131401641213978306351131.43%391658.97%239576151.91%35373248.22%26952651.14%255125277129267133

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3951W41111682791117117137420692602
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
391413803111193
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1910430115438
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
204950205755
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
962930.21%1033566.02%6
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
3014053823815463914
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
39576151.91%35373248.22%26952651.14%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
796416796376780392


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 - 2026-06-081Storm3Spirit5LSommaire du match
2 - 2026-06-0920Storm1Force4LSommaire du match
4 - 2026-06-1137Storm5Mammoth1WSommaire du match
6 - 2026-06-1359Storm6Reign5WXXSommaire du match
8 - 2026-06-1575Storm1Reds3LSommaire du match
10 - 2026-06-1784Reds1Storm2WXXSommaire du match
12 - 2026-06-19104Storm5Rapids4WXSommaire du match
13 - 2026-06-20106Quake0Storm2WSommaire du match
15 - 2026-06-22121Fog1Storm3WSommaire du match
17 - 2026-06-24147Storm3Menace2WSommaire du match
19 - 2026-06-26158Dragons1Storm4WSommaire du match
20 - 2026-06-27175Storm3Aviators2WXSommaire du match
22 - 2026-06-29181Aviators2Storm1LSommaire du match
24 - 2026-07-01204Gators3Storm5WSommaire du match
26 - 2026-07-03219Storm2Dragons3LSommaire du match
27 - 2026-07-04234Storm3Lions2WXSommaire du match
29 - 2026-07-06240Invaders1Storm3WSommaire du match
31 - 2026-07-08267Storm6Reapers3WSommaire du match
33 - 2026-07-10277Nighthawks2Storm3WSommaire du match
34 - 2026-07-11295Storm4Aviators2WSommaire du match
36 - 2026-07-13300Howlers2Storm3WXSommaire du match
38 - 2026-07-15328Storm1Howlers3LSommaire du match
40 - 2026-07-17337Reign3Storm2LSommaire du match
41 - 2026-07-18344Rapids5Storm1LSommaire du match
43 - 2026-07-20361Storm2Mariners1WXSommaire du match
44 - 2026-07-21374Newfies0Storm3WSommaire du match
46 - 2026-07-23389Storm1Newfies2LSommaire du match
48 - 2026-07-25414Storm4Reign3WXXSommaire du match
50 - 2026-07-27418Rapids2Storm3WSommaire du match
52 - 2026-07-29442Storm1Firebirds3LSommaire du match
54 - 2026-07-31456Terror4Storm2LSommaire du match
55 - 2026-08-01465Storm2Islanders3LSommaire du match
57 - 2026-08-03478Mammoth4Storm3LXXSommaire du match
58 - 2026-08-04493Aviators3Storm4WXSommaire du match
60 - 2026-08-06513Storm2Howlers3LSommaire du match
62 - 2026-08-08522Chill1Storm3WSommaire du match
64 - 2026-08-10537Spirit1Storm4WSommaire du match
65 - 2026-08-11558Storm2Gators1WXSommaire du match
67 - 2026-08-13567Menace2Storm3WXSommaire du match
69 - 2026-08-15581Firebirds-Storm-
71 - 2026-08-17602Storm-Quake-
73 - 2026-08-19618Reign-Storm-
76 - 2026-08-22641Storm-Grizzlies-
78 - 2026-08-24657Storm-Rapids-
79 - 2026-08-25668Islanders-Storm-
81 - 2026-08-27689Storm-Chill-
83 - 2026-08-29699Storm-Raiders-
85 - 2026-08-31711Raiders-Storm-
86 - 2026-09-01732Storm-Fog-
88 - 2026-09-03744Storm-Terror-
90 - 2026-09-05756Howlers-Storm-
92 - 2026-09-07770Howlers-Storm-
94 - 2026-09-09792Mariners-Storm-
96 - 2026-09-11806Hellcats-Storm-
97 - 2026-09-12819Storm-Warhawks-
99 - 2026-09-14828Reapers-Storm-
100 - 2026-09-15842Warhawks-Storm-
102 - 2026-09-17857Grizzlies-Storm-
104 - 2026-09-19884Storm-Steelers-
106 - 2026-09-21895Storm-Hellcats-
107 - 2026-09-22900Force-Storm-
109 - 2026-09-24914Lions-Storm-
111 - 2026-09-26941Storm-Berries-
113 - 2026-09-28943Aviators-Storm-
114 - 2026-09-29959Storm-Nighthawks-
116 - 2026-10-01971Steelers-Storm-
118 - 2026-10-03985Reign-Storm-
122 - 2026-10-071026Storm-Reign-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
124 - 2026-10-091037Storm-Rapids-
127 - 2026-10-121053Rapids-Storm-
128 - 2026-10-131068Berries-Storm-
130 - 2026-10-151086Storm-Reign-
132 - 2026-10-171093Rapids-Storm-
134 - 2026-10-191116Storm-Aviators-
137 - 2026-10-221141Storm-Howlers-
141 - 2026-10-261160Storm-Rapids-
142 - 2026-10-271168Aviators-Storm-
144 - 2026-10-291190Storm-Howlers-
146 - 2026-10-311192Reign-Storm-
148 - 2026-11-021204Howlers-Storm-
152 - 2026-11-061224Storm-Aviators-
153 - 2026-11-071226Storm-Invaders-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité20003000000
Prix des billets100603525200
Assistance00000
Attendance PCT0.00%0.00%0%0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
22 0 - 0.00% 0$0$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 11$ 0$ 100,000$0$ 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$ 86 654$ 56,244$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
56,244$ 0$ -56,244$



Charte de profondeur

Ailier gaucheCentreAilier droit
Niko-Veikka LindstenAGE:18PO:73OV:73
Rene Benge (R)AGE:18PO:64OV:67
Zinoviy Zubrytskyi (R)AGE:16PO:75OV:65
Yannick Papp (R)AGE:18PO:86OV:62
Veli-Petri Vavuli (R)AGE:19PO:77OV:72
Ivan Sumin (R)AGE:16PO:95OV:66
Filip Mocnik (R)AGE:19PO:81OV:64
Ignat Sanakoyev (R)AGE:16PO:90OV:63
Alexander Mikhailov (R)AGE:19PO:71OV:58
Aleksandr PodgaiskyAGE:18PO:64OV:72
Filip FredenAGE:18PO:68OV:69
Craig Broadwater (R)AGE:16PO:71OV:63
Bryan Rice (R)AGE:16PO:90OV:62
Erroll Lindemann (R)AGE:17PO:85OV:60

Défense #1Défense #2Gardien
Svit AuberAGE:18PO:60OV:73
Edgars Cuksts (R)AGE:18PO:82OV:72
Sigfrid Ikaheimonen (R)AGE:18PO:89OV:66
Jayce TroyAGE:18PO:77OV:66
Wiktor Lindtveit (R)AGE:18PO:86OV:63
Andrey Vikstrem (R)AGE:17PO:86OV:63
Aldo Gamperli (R)AGE:17PO:66OV:62
Garnet Witherspoon (R)AGE:17PO:84OV:61
Daniil DaugeAGE:18PO:77OV:71
Selmer DigernesAGE:19PO:53OV:70
Antoine ColvilleAGE:18PO:94OV:63

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.




Storm Historique de transactions




Sigfrid Ikaheimonen est dehors pour 4 jours à cause de Bruised Right Foot Injury.



Storm 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
1Maksim Zadoyanny164729016276015724254113.31%64311118.97232548502131110450.73%11.0414
2Niko-Veikka Lindsten20354100154217747331951810.42%94406920.0515324748213159452.53%00.76610
3Brody Eastwood1576880148194224031954912.39%68313919.99142842320221114852.17%10.9459
4Aleksandr Podgaisky20358801381718546127250711.44%83366818.072026464811255848.50%00.7511
5Oystein Gravdahl150506111178631429849310.14%59289219.28101929221011812056.08%00.7747

Storm 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
1Daniil Dauge125684590.9122.6273006231936242037620.79329
2Selmer Digernes87502650.9092.67500312522324641392430.86422

Storm 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
482293109562242256-1441161405240130128241131704322112128-16952424026445257848618265480689691559254583273620611805128.33%2367369.07%0921170953.89%827158952.05%610115252.95%1764100016887701530746
5824027046502492014841241001330139974241161703320110104610424942267103521078110250375990182730237776441721832055828.29%2035672.41%4888161954.85%825153553.75%641115155.69%175597116287761577767
63914130803111193181910403011543816204905020575525111116827902154639141117301405382381171374206926962930.21%1033566.02%639576151.91%35373248.22%26952651.14%796416796376780392
Total Saison régulière20383710211114360255052101502809581323263601023343012662279287-8250602992159457124237206426274186622022124127609319701359517048113828.69%54216469.74%102204408953.90%2005385652.00%1520282953.73%431623874112192238891905
Séries éliminatoires
4261412000007780-31468000004250-812840000035305287712620330143624382119830929519816270144669632234.92%732565.75%222648047.08%27752852.46%19337351.74%567319539247499245
5624000001215-33030000049-532100000862412183000254117133655815175714817912541.67%23673.91%05610951.38%5812347.15%448750.57%127661356412558
Total Séries éliminatoires321616000008995-617611000004659-13151050000043367328914423330164128499223137435334991341192848752736.00%963167.71%228258947.88%33565151.46%23746051.52%694386674312625304

Storm 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
1Oystein Gravdahl3211223312660731119.91%1761719.29189610130052.14%01.0700
2Jan Marek32121931-4891501229.84%1776223.8357121200014053.39%00.8100
3Brody Eastwood321115266268668213.41%1864320.1166121301132050.85%00.8100
4Niko-Veikka Lindsten3213102302251476719.40%1761019.07729900014136.67%00.7500
5Maksim Zadoyanny321010204228461099.17%961419.19279700011152.50%00.6500

Storm 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
1Selmer Digernes23121100.9012.95138400686893940300
2Daniil Dauge114320.9202.3760800242991731000