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Connexion

Storm
GP: 59 | W: 38 | L: 18 | OTL: 3 | P: 79
GF: 167 | GA: 138 | PP%: 30.00% | PK%: 69.33%
DG: | Morale : 40 | Moyenne d’équipe : 67
Prochains matchs #895 vs Hellcats

Centre de jeu
Grizzlies
25-26-8, 58pts
2
3 Storm
38-18-3, 79pts
Team Stats
L1SéquenceW5
17-10-2Fiche domicile21-7-2
8-16-6Fiche visiteur17-11-1
4-4-2Derniers 10 matchs7-3-0
2.75Buts par match 2.83
3.02Buts contre par match 2.34
27.48%Pourcentage en avantage numérique30.00%
72.44%Pourcentage en désavantage numérique69.33%
Storm
38-18-3, 79pts
2
1 Steelers
31-16-10, 72pts
Team Stats
W5SéquenceL1
21-7-2Fiche domicile18-7-3
17-11-1Fiche visiteur13-9-7
7-3-0Derniers 10 matchs7-3-0
2.83Buts par match 2.63
2.34Buts contre par match 2.37
30.00%Pourcentage en avantage numérique27.42%
69.33%Pourcentage en désavantage numérique69.67%
Storm
38-18-3, 79pts
2026-09-21
Hellcats
33-23-4, 70pts
Statistiques d’équipe
W5SéquenceW2
21-7-2Fiche domicile18-11-3
17-11-1Fiche visiteur15-12-1
7-3-010 derniers matchs6-3-1
2.83Buts par match 2.58
2.34Buts contre par match 2.58
30.00%Pourcentage en avantage numérique31.17%
69.33%Pourcentage en désavantage numérique67.39%
Force
31-19-8, 70pts
2026-09-22
Storm
38-18-3, 79pts
Statistiques d’équipe
W3SéquenceW5
14-11-6Fiche domicile21-7-2
17-8-2Fiche visiteur17-11-1
5-4-110 derniers matchs7-3-0
2.59Buts par match 2.83
2.52Buts contre par match 2.83
32.28%Pourcentage en avantage numérique30.00%
74.44%Pourcentage en désavantage numérique69.33%
Lions
22-21-15, 59pts
2026-09-24
Storm
38-18-3, 79pts
Statistiques d’équipe
OTL1SéquenceW5
16-9-7Fiche domicile21-7-2
6-12-8Fiche visiteur17-11-1
4-2-410 derniers matchs7-3-0
2.34Buts par match 2.83
2.55Buts contre par match 2.83
30.70%Pourcentage en avantage numérique30.00%
68.60%Pourcentage en désavantage numérique69.33%
Meneurs d'équipe
Buts
Niko-Veikka Lindsten
27
Passes
Veli-Petri Vavuli
37
Points
Niko-Veikka Lindsten
60
Plus/Moins
Niko-Veikka Lindsten
18
Victoires
Daniil Dauge
30
Pourcentage d’arrêts
Daniil Dauge
0.925

Statistiques d’équipe
Buts pour
167
2.83 GFG
Tirs pour
1700
28.81 Avg
Pourcentage en avantage numérique
30.0%
42 GF
Début de zone offensive
37.4%
Buts contre
138
2.34 GAA
Tirs contre
1758
29.80 Avg
Pourcentage en désavantage numérique
69.3%%
46 GA
Début de la zone défensive
36.9%
Informations de l'équipe

Directeur général
EntraîneurMatthew Van Ness
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 estimées128,086$
Compte bancaire actuel0$
Compte bancaire projeté-128,086$


Historique d'équipe

Saison actuelle38-18-3 (79PTS)
Historique131-76-26 (0.562%)
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 Lindsten0X98.0078626860728175696084677976837773407301831$
2Veli-Petri Vavuli (R)0X100.0058626284728776486580608260715577407201931$
3Aleksandr Podgaisky0X100.0076544970866967656478737969516464407201831$
4Filip Freden0X100.0058565267837379576772617356665768406901831$
5Rene Benge (R)0X100.0074584363638081486064698166646064406701831$
6Ivan Sumin (R)0X99.0054707275746064755954667473516695406601610$
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 Auber0X100.0072586775738672756265637756556060407301831$
13Edgars Cuksts (R)0X100.0084716682717071697156727764756182407201831$
14Jayce Troy0X100.0084656278686162437246318270625477406601831$
15Sigfrid Ikaheimonen (R)0X100.0064717370796773476639507261496389406601831$
16Wiktor Lindtveit (R)0X100.0062606761627366687158684858535386406301831$
17Andrey Vikstrem (R)0X100.0031566468726561716274486964517586406301710$
18Aldo Gamperli (R)0X100.0037607466626169605063636853646766406201710$
Rayé
MOYENNE D’ÉQUIPE99.83646163717168695963636373646162774067
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 Dauge0100.008060788075636972657174715977407101831$
2Selmer Digernes0100.007272577869636378836478597953407001931$
Rayé
MOYENNE D’ÉQUIPE100.0076666879726366757468766569654071
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Matthew Van Ness71955372654070CAN392400,000$


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
1Niko-Veikka LindstenStormLW5927336018220131961985312613.64%40138623.5179161810031411905351.36%2203740000.87470001261
2Veli-Petri VavuliStormC591537521722093131138488110.87%35116419.7431316141011347935151.26%11904222000.8927000353
3Aleksandr PodgaiskyStormRW5923254816500123841755212713.14%31113819.2981018199921310782346.93%1794122000.8414000138
4Filip FredenStormRW591827451300145971744210110.34%35118220.035111615941236864154.84%624618010.7611000432
5Ivan SuminStormC59241640-660641251795310413.41%37106718.09107171994000003041.67%8523915020.7500000525
6Svit AuberStormD594263032009511012636693.17%86150125.463367101011292200%04239000.4000000131
7Zinoviy ZubrytskyiStormLW59161329121408874146378410.96%1685914.5700016000017042.86%282117000.6700000151
8Filip MocnikStormC5972027880717912232625.74%1384114.27101130000112154.43%3052611000.6400000122
9Craig BroadwaterStormRW591271910601004887355013.79%1575812.8500000000002236.36%111612000.5000000212
10Edgars CukstsStormD5911617512078889946341.01%79126321.410226101022296000%02644000.2700000101
11Sigfrid IkaheimonenStormD586814860456550212612.00%66123321.27358490101298020%1421000.2300000002
12Rene BengeStormLW594913-44801581017127665.63%27112719.111349950000101064.15%532416000.2300000013
13Andrey VikstremStormD5908817606461911100%3178513.3200002011026000%0323000.2000000100
14Jayce TroyStormD591568280104904017282.50%69123320.90123594000088000%01043000.1000000000
15Bryan RiceStormRW5933624039263072310.00%94327.33000020000000100.00%145000.2800000000
16Ignat SanakoyevStormC581341404442229264.55%125158.88000000000380051.03%194148000.1600000000
17Wiktor LindtveitStormD5901115402527219140%2178713.3500001000001000%0915000.0300000000
18Yannick PappFarm Team 25 (STM)LW2000-120000000%0147.460000000000000%00000000000000
19Aldo GamperliStormD59000-3004193200%63415.790000000009000%00700000000000
Statistiques d’équipe totales ou en moyenne1062162257419127292014131348170053710319.53%6281763516.61426510711810018111940824331348.84%3096404378030.48819000323131
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 DaugeStorm48301530.9252.252904201091447821220.786144811445
2Selmer DigernesStorm128300.9192.196846225309173000.80051148212
Statistiques d’équipe totales ou en moyenne60381830.9242.24358982134175699422195959657


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 IkaheimonenStormD182010-10-07FINYes224 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 TroySigfrid Ikaheimonen35122
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 TroySigfrid Ikaheimonen50122
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 TroySigfrid Ikaheimonen50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Niko-Veikka Lindsten50122Svit AuberEdgars Cuksts50122
2Veli-Petri Vavuli50122Jayce TroySigfrid Ikaheimonen50122
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 TroySigfrid Ikaheimonen50122
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, Sigfrid Ikaheimonen, 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%2573113650.44%530112047.32%40978052.44%824080378242
2Chill22000000523110000003121100000021141.000571200032053132713039198516233.33%4175.00%0573113650.44%530112047.32%40978052.44%401836174323
3Dragons21100000642110000004131010000023-120.5006111700051066232419061188475120.00%4325.00%0573113650.44%530112047.32%40978052.44%452738163518
4Firebirds2010010036-31000010023-11010000013-210.250369001200581629130501812497114.29%6266.67%0573113650.44%530112047.32%40978052.44%412239193918
5Fog2110000045-1110000003121010000014-320.500461000031066143616068182472150.00%10100.00%0573113650.44%530112047.32%40978052.44%402139173920
6Force1010000014-3000000000001010000014-300.00011200001026108803311627400.00%3166.67%1573113650.44%530112047.32%40978052.44%20102091810
7Gators21001000743110000005321000100021141.0007111800231164182122342292498337.50%110.00%0573113650.44%530112047.32%40978052.44%422336194121
8Grizzlies20000020752100000103211000001043141.00077140012226012252010683514553266.67%7271.43%0573113650.44%530112047.32%40978052.44%442446203918
9Hellcats1010000035-21010000035-20000000000000.0003470010203612168034178253133.33%4325.00%0573113650.44%530112047.32%40978052.44%2011219189
10Howlers513010001013-3311010007702020000036-340.400101929103241127333755216950368414214.29%18477.78%2573113650.44%530112047.32%40978052.44%96451024910151
11Invaders11000000312110000003120000000000021.00034700030023415402372213133.33%10100.00%0573113650.44%530112047.32%40978052.44%18920102010
12Islanders20101000770100010005411010000023-120.5007111800042184262819117521844300.00%40100.00%0573113650.44%530112047.32%40978052.44%462740173818
13Lions10001000321000000000001000100032121.0003470000212329102306617100.00%30100.00%2573113650.44%530112047.32%40978052.44%18818102311
14Mammoth210000018531000000134-11100000051430.75081321001430661725215712210517342.86%5260.00%0573113650.44%530112047.32%40978052.44%452439184021
15Mariners2010100034-11010000013-21000100021120.50036910002148131417457146453133.33%3166.67%0573113650.44%530112047.32%40978052.44%371944213919
16Menace21001000642100010003211100000032141.00061117001131641821241662612439333.33%6183.33%0573113650.44%530112047.32%40978052.44%442540183517
17Newfies21100000422110000003031010000012-120.500481201031057113016054221442200.00%7185.71%0573113650.44%530112047.32%40978052.44%412239193918
18Nighthawks11000000321110000003210000000000021.00033600030029218902696202150.00%3166.67%0573113650.44%530112047.32%40978052.44%19102110189
19Quake21000001431110000002021000000123-130.7504610011210511322127461610576116.67%50100.00%0573113650.44%530112047.32%40978052.44%411940204221
20Raiders21100000532110000004131010000012-120.5005914001130481710210723512524250.00%6183.33%0573113650.44%530112047.32%40978052.44%381946173417
21Rapids421010001213-12110000047-32100100086260.75012213300047111923346021264524949222.22%12466.67%0573113650.44%530112047.32%40978052.44%784084398040
22Reapers220000001046110000004131100000063341.00010142400253067153121067221058200.00%5260.00%0573113650.44%530112047.32%40978052.44%422440173718
23Reds2010001034-1100000102111010000013-220.50034700020252231113753131055200.00%5180.00%0573113650.44%530112047.32%40978052.44%391942214320
24Reign41100020171252110000074320000020108260.750172441004744101254330810355209210660.00%10550.00%0573113650.44%530112047.32%40978052.44%763790418340
25Spirit21100000761110000004131010000035-220.50071017001150601518270531316494250.00%8362.50%1573113650.44%530112047.32%40978052.44%412137184020
26Steelers11000000211000000000001100000021121.000235001010197930239226100.00%10100.00%0573113650.44%530112047.32%40978052.44%1991982011
27Terror2110000045-11010000024-21100000021120.500461000022065222518057176582150.00%3233.33%0573113650.44%530112047.32%40978052.44%422442163517
28Warhawks22000000835110000004131100000042241.00081422001520601428180612310525240.00%5180.00%0573113650.44%530112047.32%40978052.44%412242193618
Total59241809152167138293015704121896425299110503178744790.6691672574242224725717170044765055666175862830014131404230.00%1504669.33%8573113650.44%530112047.32%40978052.44%120963312135661170588
_Since Last GM Reset59241809152167138293015704121896425299110503178744790.6691672574242224725717170044765055666175862830014131404230.00%1504669.33%8573113650.44%530112047.32%40978052.44%120963312135661170588
_Vs Conference331213050308878101795020104733141638030204145-4400.60688138226211336311190023532032527996339176756712230.99%882868.18%5573113650.44%530112047.32%40978052.44%658337687320660331
_Vs Division1756040205147493402000232308220202028244220.647517812910101817845511015018416529188100373461430.43%501766.00%4573113650.44%530112047.32%40978052.44%333164357168348174

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5979W516725742417001758628300141322
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5924189152167138
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3015741218964
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2991150317874
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1404230.00%1504669.33%8
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
4476505566624725717
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
573113650.44%530112047.32%40978052.44%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
120963312135661170588


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 - 2026-08-15581Firebirds3Storm2LXSommaire du match
71 - 2026-08-17602Storm2Quake3LXXSommaire du match
73 - 2026-08-19618Reign1Storm5WSommaire du match
76 - 2026-08-22641Storm4Grizzlies3WXXSommaire du match
78 - 2026-08-24657Storm3Rapids2WSommaire du match
79 - 2026-08-25668Islanders4Storm5WXSommaire du match
81 - 2026-08-27689Storm2Chill1WSommaire du match
83 - 2026-08-29699Storm1Raiders2LSommaire du match
85 - 2026-08-31711Raiders1Storm4WSommaire du match
86 - 2026-09-01732Storm1Fog4LSommaire du match
88 - 2026-09-03744Storm2Terror1WSommaire du match
90 - 2026-09-05756Howlers3Storm1LSommaire du match
92 - 2026-09-07770Howlers2Storm3WSommaire du match
94 - 2026-09-09792Mariners3Storm1LSommaire du match
96 - 2026-09-11806Hellcats5Storm3LSommaire du match
97 - 2026-09-12819Storm4Warhawks2WSommaire du match
99 - 2026-09-14828Reapers1Storm4WSommaire du match
100 - 2026-09-15842Warhawks1Storm4WSommaire du match
102 - 2026-09-17857Grizzlies2Storm3WXXSommaire du match
104 - 2026-09-19884Storm2Steelers1WSommaire du match
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
11 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$ 12$ 0$ 400,000$0$ 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$ 49 2,614$ 128,086$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
128,086$ 0$ -128,086$



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



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Storm Historique de transactions

[8/29/2026 6:36:11 PM] New Record for Team's Most Shots Blocked (27) in 1 Game for Storm!
[8/25/2026 6:40:39 PM] New Record for Team's Most Shots (49) in 1 Game for Storm!
[8/23/2026 6:43:07 PM] Storm hired Matthew Van Ness for $400,000 for 2 year(s).
[8/23/2026 6:39:54 PM] Storm fired Elias Heikkinen.



Pas de blessure ou de suspension.


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
1Niko-Veikka Lindsten22365113178358551034658711.07%110454120.36163753513142011452.14%00.78713
2Maksim Zadoyanny164729016276015724254113.31%64311118.97232548502131110450.73%11.0414
3Aleksandr Podgaisky22368871553020350029856911.95%97405118.1724275154213107848.30%00.7714
4Brody Eastwood1576880148194224031954912.39%68313919.99142842320221114852.17%10.9459
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 Dauge1458150110.9142.5485198236142092366740.81638
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
659241809152167138293015704121896425299110503178744791672574242224725717170044765055666175862830014131404230.00%1504669.33%8573113650.44%530112047.32%40978052.44%120963312135661170588
Total Saison régulière223937602212164658595631125531010691358289691113845012673300306-62786581081173977133263224456857201224472298155668022241453565752515128.76%58917570.29%122382446453.36%2182424451.41%1660308353.84%472926054529211342792102
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