Please rotate your device to landscape mode for a better experience.
Connexion

Storm
GP: 55 | W: 28 | L: 22 | OTL: 5 | P: 61
GF: 162 | GA: 144 | PP%: 27.97% | PK%: 74.31%
DG: | Morale : 40 | Moyenne d’équipe : 68
Prochains matchs #828 vs Reapers

Centre de jeu
Hellcats
26-22-8, 60pts
1
3 Storm
28-22-5, 61pts
Team Stats
W1SéquenceL1
14-11-5Fiche domicile16-8-3
12-11-3Fiche visiteur12-14-2
6-2-2Derniers 10 matchs5-5-0
2.75Buts par match 2.95
2.79Buts contre par match 2.62
26.09%Pourcentage en avantage numérique27.97%
72.06%Pourcentage en désavantage numérique74.31%
Storm
28-22-5, 61pts
1
3 Warhawks
27-24-4, 58pts
Team Stats
L1SéquenceW3
16-8-3Fiche domicile16-10-1
12-14-2Fiche visiteur11-14-3
5-5-0Derniers 10 matchs6-4-0
2.95Buts par match 2.84
2.62Buts contre par match 2.89
27.97%Pourcentage en avantage numérique36.21%
74.31%Pourcentage en désavantage numérique64.29%
Reapers
22-23-11, 55pts
2025-11-04
Storm
28-22-5, 61pts
Statistiques d’équipe
L2SéquenceL1
13-11-5Fiche domicile16-8-3
9-12-6Fiche visiteur12-14-2
3-5-210 derniers matchs5-5-0
2.66Buts par match 2.95
2.93Buts contre par match 2.95
27.45%Pourcentage en avantage numérique27.97%
68.92%Pourcentage en désavantage numérique74.31%
Warhawks
27-24-4, 58pts
2025-11-05
Storm
28-22-5, 61pts
Statistiques d’équipe
W3SéquenceL1
16-10-1Fiche domicile16-8-3
11-14-3Fiche visiteur12-14-2
6-4-010 derniers matchs5-5-0
2.84Buts par match 2.95
2.89Buts contre par match 2.95
36.21%Pourcentage en avantage numérique27.97%
64.29%Pourcentage en désavantage numérique74.31%
Grizzlies
28-24-3, 59pts
2025-11-07
Storm
28-22-5, 61pts
Statistiques d’équipe
L3SéquenceL1
15-13-1Fiche domicile16-8-3
13-11-2Fiche visiteur12-14-2
3-7-010 derniers matchs5-5-0
2.80Buts par match 2.95
2.78Buts contre par match 2.95
32.37%Pourcentage en avantage numérique27.97%
64.96%Pourcentage en désavantage numérique74.31%
Meneurs d'équipe
Buts
Maksim Zadoyanny
30
Passes
Niko-Veikka Lindsten
32
Points
Maksim Zadoyanny
60
Plus/Moins
Edgars Cuksts
22
Victoires
Daniil Dauge
23
Pourcentage d’arrêts
Selmer Digernes
0.946

Statistiques d’équipe
Buts pour
162
2.95 GFG
Tirs pour
1703
30.96 Avg
Pourcentage en avantage numérique
28.0%
40 GF
Début de zone offensive
37.1%
Buts contre
144
2.62 GAA
Tirs contre
1625
29.55 Avg
Pourcentage en désavantage numérique
74.3%%
37 GA
Début de la zone défensive
36.2%
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 Pro21
Équipe Mineure4
Limite contact 25 / 50
Espoirs0


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées36,624$
Compte bancaire actuel0$
Compte bancaire projeté-36,624$


Historique d'équipe

Saison actuelle28-22-5 (61PTS)
Historique72-53-12 (0.526%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)14 - 12 (0.538%)
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
1Jan Marek (R)0X96.0075646385778070527883657360756272407301831$
2Oystein Gravdahl0X100.0071656275788871758160846666777289407301731$
3Maksim Zadoyanny0X100.0041627170618082836187626379758279407201931$
4Niko-Veikka Lindsten0X99.0076626760717873676082667876837776407201731$
5Veli-Petri Vavuli (R)0X100.0058626185728474476477598060715581407101831$
6Andress Zaka0X100.0075575073807572467270747754556083407002031$
7Aleksandr Podgaisky0X99.0074545070846565646474727869516468407001731$
8Filip Freden0X100.0057565268837077576771607456665772406801731$
9Rene Benge (R)0X100.0073584364647879496064698166646068406701731$
10Filip Mocnik (R)0X100.0059556566665763576962717260656185406401810$
11Yannick Papp (R)0X100.0075545662746065455456726853635490406201731$
12Svit Auber0X100.0071586774718471736263627556556066407101731$
13Edgars Cuksts (R)0X100.0082716681696769677154687464756186407001731$
14Sigfrid Ikaheimonen (R)0X100.0063717269776471466638497161496393406501731$
15Jayce Troy0X100.0082656277665961427244308070625482406401731$
16Wiktor Lindtveit (R)0X100.0060606662637164687154684755535392406201731$
17Aldo Gamperli (R)0X100.0038607367635967615063636853646770406201610$
18Jonas Hunal (R)0X100.0065656154626962466032597751666570496101931$
Rayé
1Brody Eastwood0X89.9270607274738472707474785756657893407301731$
MOYENNE D’ÉQUIPE99.15676162707172705966646572616563804068
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 Dauge0100.007858767873616771646972715961407001731$
2Selmer Digernes0100.007272577666636075806478597958406801831$
Rayé
MOYENNE D’ÉQUIPE100.0075656777706264737267756569604069
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Elias Heikkinen60965169628656FIN514100,000$


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
1Maksim ZadoyannyStormLW55303060610056721944711215.46%23107319.5197161310620251015156.92%654216111.1201000545
2Brody EastwoodStormC52232750714080106177559612.99%21102219.6771118131030222897056.27%9013511010.9811000352
3Oystein GravdahlStormC5519315072401131091653610511.52%23108719.77191051070007983057.11%11473725200.9212000424
4Aleksandr PodgaiskyStormRW55182442552014590173478910.40%27100318.24781516109000002248.89%453821100.8400000323
5Jan MarekStormRW55162541-140015094173411159.25%25127223.134812131060004882153.63%1796827000.6402000315
6Niko-Veikka LindstenStormLW559324131001197914239856.34%2099918.172151717110000022056.41%391620000.8211000140
7Veli-Petri VavuliStormC55101828560667312335768.13%1677614.12011212000002147.24%3264915010.7200000212
8Edgars CukstsStormD558192722200107759545338.42%82135224.6045991100001102100%02435000.4000000030
9Filip FredenStormRW551014248140994112927657.75%1174513.5510116000001150.00%14178000.6400000016
10Svit AuberStormD52220222124086956928362.90%63128524.732464101000297000%02036000.3400000012
11Rene BengeStormLW557101771201124451152613.73%1273113.3000000000010238.10%21917000.4600000012
12Jayce TroyStormD5511112-16260107944311172.33%74119821.781232111011397000%0924000.2000000001
13Sigfrid IkaheimonenStormD553710-1412054765514155.45%41121222.0521341140000101000%0632000.1600000000
14Wiktor LindtveitStormD55077912045252115110%1773013.280000300005000%0911000.1900000000
15Andress ZakaStormC55224-36063414319344.65%94408.01000000000361049.40%166169000.1800000010
16Aldo GamperliStormD5513484010522412114.17%3477114.0200008000034000%0929000.1000000000
17Filip MocnikStormC5511212081213207.69%12023.69000190000120037.93%2911000.2000000000
18Jonas HunalStormD6000000182100%2579.500000000001000%00400000000000
19Yannick PappStormLW55000-4204324114100%43726.78000020000900100.00%41600000000000
Statistiques d’équipe totales ou en moyenne9901602814417129001464121017034939369.40%5051633516.50407111110011242352487826854.67%2936406347430.5437000212632
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 DaugeStorm50232250.9082.732990021361476810200.7147505341
2Selmer DigernesStorm65000.9461.48325018149790000550310
Statistiques d’équipe totales ou en moyenne56282250.9112.6133150314416258892075555651


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 GamperliStormD162011-11-24SUIYes210 Lbs6 ft1NoNoAssign ManuallyNoNo12025-10-20FalseFalsePro & Farm0$0$No---------------------------
Aleksandr PodgaiskyStormRW172010-05-12RUSNo215 Lbs6 ft7NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Andress ZakaStormC202007-05-14LATNo214 Lbs6 ft3NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Brody Eastwood (sur la masse salariale)StormC172010-01-26CANNo226 Lbs6 ft5NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Daniil DaugeStormG172010-04-12RUSNo214 Lbs6 ft9NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Edgars CukstsStormD172010-11-25LATYes195 Lbs5 ft8NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Filip FredenStormRW172010-11-16SWENo172 Lbs5 ft9NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Filip MocnikStormC182009-11-10SLOYes177 Lbs6 ft4NoNoAssign ManuallyNoNo12025-06-09FalseFalsePro & Farm0$0$No---------------------------
Jan MarekStormRW182009-11-29SVKYes233 Lbs6 ft6NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Jayce TroyStormD172010-03-30USANo174 Lbs5 ft9NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Jonas HunalStormD192008-06-04CZEYes218 Lbs6 ft4NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Maksim ZadoyannyStormLW192008-09-09RUSNo237 Lbs6 ft7NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Niko-Veikka LindstenStormLW172010-02-25FINNo222 Lbs6 ft3NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Oystein GravdahlStormC172010-04-15NORNo201 Lbs6 ft4NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Rene BengeStormLW172010-10-16USAYes201 Lbs6 ft3NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Selmer DigernesStormG182009-07-31NORNo208 Lbs6 ft6NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Sigfrid IkaheimonenStormD172010-10-07FINYes224 Lbs6 ft9NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Svit AuberStormD172010-11-23SLONo223 Lbs6 ft7NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Veli-Petri VavuliStormC182009-11-23FINYes209 Lbs6 ft1NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Wiktor LindtveitStormD172010-02-11NORYes182 Lbs5 ft9NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Yannick PappStormLW172010-10-02SUIYes197 Lbs5 ft9NoNoFree AgentNoNo32025-02-21FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2117.48207 Lbs6 ft32.811$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
19$19$19$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Maksim ZadoyannyOystein GravdahlJan Marek35122
2Niko-Veikka LindstenVeli-Petri VavuliAleksandr Podgaisky35122
3Rene BengeAndress ZakaFilip Freden20122
4Yannick PappFilip MocnikJan Marek10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Svit AuberEdgars Cuksts35122
2Sigfrid IkaheimonenJayce Troy35122
3Wiktor LindtveitAldo Gamperli20122
4Jonas HunalSvit Auber10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Maksim ZadoyannyOystein GravdahlJan Marek50122
2Niko-Veikka LindstenVeli-Petri VavuliAleksandr Podgaisky50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Svit AuberEdgars Cuksts50122
2Sigfrid IkaheimonenJayce Troy50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jan MarekOystein Gravdahl50122
2Maksim ZadoyannyNiko-Veikka Lindsten50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Svit AuberEdgars Cuksts50122
2Sigfrid IkaheimonenJayce Troy50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jan Marek50122Svit AuberEdgars Cuksts50122
2Oystein Gravdahl50122Sigfrid IkaheimonenJayce Troy50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jan MarekOystein Gravdahl50122
2Maksim ZadoyannyNiko-Veikka Lindsten50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Svit AuberEdgars Cuksts50122
2Sigfrid IkaheimonenJayce Troy50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Maksim ZadoyannyOystein GravdahlJan MarekSvit AuberEdgars Cuksts
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Maksim ZadoyannyOystein GravdahlJan MarekSvit AuberEdgars Cuksts
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Andress Zaka, Filip Freden, Rene BengeAndress Zaka, Filip FredenRene Benge
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Wiktor Lindtveit, Aldo Gamperli, Jonas HunalWiktor LindtveitAldo Gamperli, Jonas Hunal
Tirs de pénalité
Jan Marek, Oystein Gravdahl, Maksim Zadoyanny, Niko-Veikka Lindsten, Veli-Petri Vavuli
Gardien
#1 : Daniil Dauge, #2 : Selmer Digernes
Lignes d’attaque personnalisées en prolongation
Jan Marek, Oystein Gravdahl, Maksim Zadoyanny, Niko-Veikka Lindsten, Veli-Petri Vavuli, Andress Zaka, Aleksandr Podgaisky, Filip Freden, Rene Benge, Filip Mocnik
Lignes de défense personnalisées en prolongation
Svit Auber, Edgars Cuksts, Sigfrid Ikaheimonen, 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
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Aviators4210010016124210001009542110000077050.625163046004570136413855213736228112325.00%11281.82%0592108354.66%570105554.03%44378056.79%864884367335
2Chill21100000532110000004131010000012-120.50051015003200572316180601516523133.33%8187.50%0592108354.66%570105554.03%44378056.79%422339183719
3Dragons2010001089-1100000105411010000035-220.50081220000341651231214682120614250.00%10550.00%1592108354.66%570105554.03%44378056.79%462538183920
4Firebirds2010010025-31010000013-21000010012-110.2502350001105720231315314865600.00%4175.00%0592108354.66%570105554.03%44378056.79%442539193819
5Fog22000000633110000003211100000031241.0006111700141069834270511610566233.33%5260.00%0592108354.66%570105554.03%44378056.79%422338203818
6Force1010000023-1000000000001010000023-100.00023500020026141020299637200.00%3233.33%0592108354.66%570105554.03%44378056.79%2010199199
7Gators2020000049-51010000035-21010000014-300.000461000121071232325069201252300.00%60100.00%0592108354.66%570105554.03%44378056.79%422442183416
8Grizzlies11000000642000000000001100000064221.0006121800123034101113035542922100.00%2150.00%0592108354.66%570105554.03%44378056.79%2213178198
9Hellcats11000000312110000003120000000000021.0003580002104010161402713824300.00%4175.00%0592108354.66%570105554.03%44378056.79%2212178199
10Howlers531010001275321000007612100100051480.8001219310235311505259381130341013018422.22%5180.00%0592108354.66%570105554.03%44378056.79%1116189459949
11Invaders1000010023-11000010023-10000000000010.5002350001103171680319233200.00%110.00%0592108354.66%570105554.03%44378056.79%2111189209
12Islanders2010010027-51010000004-41000010023-110.25024600110066212322052171268400.00%6266.67%0592108354.66%570105554.03%44378056.79%432337203918
13Lions10000010321000000000001000001032121.000325000022371361842538222150.00%4175.00%0592108354.66%570105554.03%44378056.79%22112210209
14Mammoth2100010011741000010034-11100000083530.750111728004430581325191772212536233.33%60100.00%0592108354.66%570105554.03%44378056.79%412245183518
15Mariners22000000633110000003211100000031241.000612180013207032211703594604125.00%20100.00%0592108354.66%570105554.03%44378056.79%462835183817
16Menace2110000056-1110000005321010000003-320.500591400014057211719073186693266.67%30100.00%0592108354.66%570105554.03%44378056.79%402141183718
17Newfies2110000046-2110000002111010000025-320.500481200112065181829072158527228.57%40100.00%0592108354.66%570105554.03%44378056.79%402142193619
18Nighthawks11000000404110000004040000000000021.00047110112104211161502050275360.00%000%0592108354.66%570105554.03%44378056.79%2516177169
19Quake2020000027-51010000015-41010000012-100.000246002000492215120742820395120.00%10550.00%0592108354.66%570105554.03%44378056.79%392143183717
20Raiders21100000871110000007521010000012-120.5008122000143054825210712116516116.67%8275.00%0592108354.66%570105554.03%44378056.79%382044193616
21Rapids4220000012102211000006512110000065140.500122133002640115434428011049169612541.67%8187.50%0592108354.66%570105554.03%44378056.79%814381387736
22Reapers11000000312000000000001100000031221.000358001110301191003115225000%10100.00%0592108354.66%570105554.03%44378056.79%2113208179
23Reds220000001138110000008261100000031241.00011223300335058162121048234538337.50%20100.00%0592108354.66%570105554.03%44378056.79%442535194019
24Reign42200000910-12110000067-12110000033040.500917260024301184037410993736994125.00%18477.78%0592108354.66%570105554.03%44378056.79%814277398136
25Spirit21100000954110000007251010000023-120.5009172600243059192020059228514250.00%4250.00%0592108354.66%570105554.03%44378056.79%392144183617
26Terror2020000068-21010000023-11010000045-100.000681400132063933210691514548225.00%7271.43%1592108354.66%570105554.03%44378056.79%422340193719
27Warhawks1010000013-2000000000001010000013-200.00012300100026913402014625400.00%2150.00%0592108354.66%570105554.03%44378056.79%19919102110
Total552522015201621441827158003109173182810140121071710610.555162281443033666574170352662055113162550529014641434027.97%1443774.31%2592108354.66%570105554.03%44378056.79%117564710945171050511
_Since Last GM Reset552522015201621441827158003109173182810140121071710610.555162281443033666574170352662055113162550529014641434027.97%1443774.31%2592108354.66%570105554.03%44378056.79%117564710945171050511
_Vs Conference321910011101057530171230011067412615770100038344430.67210518829303214438210013003643337900288154817902932.22%771975.32%1592108354.66%570105554.03%44378056.79%685377629301613297
_Vs Division17960110049391095300100282358430100021165210.6184987136021120171519176178162347615684406461328.26%42880.95%0592108354.66%570105554.03%44378056.79%361195332160330157

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5561L116228144317031625505290146403
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5525221520162144
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2715803109173
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
28101412107171
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1434027.97%1443774.31%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
526620551133666574
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
592108354.66%570105554.03%44378056.79%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
117564710945171050511


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2025-07-291Storm2Spirit3LSommaire du match
2 - 2025-07-3020Storm2Force3LSommaire du match
4 - 2025-08-0137Storm8Mammoth3WSommaire du match
6 - 2025-08-0359Storm3Reign1WSommaire du match
8 - 2025-08-0575Storm3Reds1WSommaire du match
10 - 2025-08-0784Reds2Storm8WSommaire du match
12 - 2025-08-09104Storm2Rapids3LSommaire du match
13 - 2025-08-10106Quake5Storm1LSommaire du match
15 - 2025-08-12121Fog2Storm3WSommaire du match
17 - 2025-08-14147Storm0Menace3LSommaire du match
19 - 2025-08-16158Dragons4Storm5WXXSommaire du match
20 - 2025-08-17175Storm6Aviators4WSommaire du match
22 - 2025-08-19181Aviators1Storm6WSommaire du match
24 - 2025-08-21204Gators5Storm3LSommaire du match
26 - 2025-08-23219Storm3Dragons5LSommaire du match
27 - 2025-08-24234Storm3Lions2WXXSommaire du match
29 - 2025-08-26240Invaders3Storm2LXSommaire du match
31 - 2025-08-28267Storm3Reapers1WSommaire du match
33 - 2025-08-30277Nighthawks0Storm4WSommaire du match
34 - 2025-08-31295Storm1Aviators3LSommaire du match
36 - 2025-09-02300Howlers2Storm3WSommaire du match
38 - 2025-09-04328Storm1Howlers0WXSommaire du match
40 - 2025-09-06337Reign5Storm2LSommaire du match
41 - 2025-09-07344Rapids3Storm2LSommaire du match
43 - 2025-09-09361Storm3Mariners1WSommaire du match
44 - 2025-09-10374Newfies1Storm2WSommaire du match
46 - 2025-09-12389Storm2Newfies5LSommaire du match
48 - 2025-09-14414Storm0Reign2LSommaire du match
50 - 2025-09-16418Rapids2Storm4WSommaire du match
52 - 2025-09-18442Storm1Firebirds2LXSommaire du match
54 - 2025-09-20456Terror3Storm2LSommaire du match
55 - 2025-09-21465Storm2Islanders3LXSommaire du match
57 - 2025-09-23478Mammoth4Storm3LXSommaire du match
58 - 2025-09-24493Aviators4Storm3LXSommaire du match
60 - 2025-09-26513Storm4Howlers1WSommaire du match
62 - 2025-09-28522Chill1Storm4WSommaire du match
64 - 2025-09-30537Spirit2Storm7WSommaire du match
65 - 2025-10-01558Storm1Gators4LSommaire du match
67 - 2025-10-03567Menace3Storm5WSommaire du match
69 - 2025-10-05581Firebirds3Storm1LSommaire du match
71 - 2025-10-07602Storm1Quake2LSommaire du match
73 - 2025-10-09618Reign2Storm4WSommaire du match
76 - 2025-10-12641Storm6Grizzlies4WSommaire du match
78 - 2025-10-14657Storm4Rapids2WSommaire du match
79 - 2025-10-15668Islanders4Storm0LSommaire du match
81 - 2025-10-17689Storm1Chill2LSommaire du match
83 - 2025-10-19699Storm1Raiders2LSommaire du match
85 - 2025-10-21711Raiders5Storm7WSommaire du match
86 - 2025-10-22732Storm3Fog1WSommaire du match
88 - 2025-10-24744Storm4Terror5LSommaire du match
90 - 2025-10-26756Howlers0Storm3WSommaire du match
92 - 2025-10-28770Howlers4Storm1LSommaire du match
94 - 2025-10-30792Mariners2Storm3WSommaire du match
96 - 2025-11-01806Hellcats1Storm3WSommaire du match
97 - 2025-11-02819Storm1Warhawks3LSommaire du match
99 - 2025-11-04828Reapers-Storm-
100 - 2025-11-05842Warhawks-Storm-
102 - 2025-11-07857Grizzlies-Storm-
104 - 2025-11-09884Storm-Steelers-
106 - 2025-11-11895Storm-Hellcats-
107 - 2025-11-12900Force-Storm-
109 - 2025-11-14914Lions-Storm-
111 - 2025-11-16941Storm-Berries-
113 - 2025-11-18943Aviators-Storm-
114 - 2025-11-19959Storm-Nighthawks-
116 - 2025-11-21971Steelers-Storm-
118 - 2025-11-23985Reign-Storm-
122 - 2025-11-271026Storm-Reign-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
124 - 2025-11-291037Storm-Rapids-
127 - 2025-12-021053Rapids-Storm-
128 - 2025-12-031068Berries-Storm-
130 - 2025-12-051086Storm-Reign-
132 - 2025-12-071093Rapids-Storm-
134 - 2025-12-091116Storm-Aviators-
137 - 2025-12-121141Storm-Howlers-
141 - 2025-12-161160Storm-Rapids-
142 - 2025-12-171168Aviators-Storm-
144 - 2025-12-191190Storm-Howlers-
146 - 2025-12-211192Reign-Storm-
148 - 2025-12-231204Howlers-Storm-
152 - 2025-12-271224Storm-Aviators-
153 - 2025-12-281226Storm-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 jourCapacitéPopularité de l’équipe
14 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$ 18$ 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$ 56 654$ 36,624$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
36,624$ 0$ -36,624$



Charte de profondeur

Ailier gaucheCentreAilier droit
Maksim ZadoyannyAGE:19PO:79OV:72
Niko-Veikka LindstenAGE:17PO:76OV:72
Rene Benge (R)AGE:17PO:68OV:67
Yannick Papp (R)AGE:17PO:90OV:62
Brody EastwoodAGE:17PO:93OV:73
Oystein GravdahlAGE:17PO:89OV:73
Veli-Petri Vavuli (R)AGE:18PO:81OV:71
Andress ZakaAGE:20PO:83OV:70
Filip Mocnik (R)AGE:18PO:85OV:64
Alexander Mikhailov (R)AGE:18PO:71OV:58
Jan Marek (R)AGE:18PO:72OV:73
Aleksandr PodgaiskyAGE:17PO:68OV:70
Filip FredenAGE:17PO:72OV:68
Edgars OzollapaAGE:19PO:82OV:60

Défense #1Défense #2Gardien
Svit AuberAGE:17PO:66OV:71
Edgars Cuksts (R)AGE:17PO:86OV:70
Sigfrid Ikaheimonen (R)AGE:17PO:93OV:65
Jayce TroyAGE:17PO:82OV:64
Wiktor Lindtveit (R)AGE:17PO:92OV:62
Aldo Gamperli (R)AGE:16PO:70OV:62
Garnet Witherspoon (R)AGE:16PO:84OV:61
Jonas Hunal (R)AGE:19PO:70OV:61
Daniil DaugeAGE:17PO:61OV:70
Selmer DigernesAGE:18PO:58OV:68
Antoine ColvilleAGE:17PO:74OV: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
6
7
8
9
10
Choix au repêchage conditionnel




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.




Storm Historique de transactions

[1/13/2026 6:22:41 PM] New Record for Team's Most Hits (40) in 1 Game for Storm!
[11/7/2025 5:58:35 PM] New Record for Team's Most Points (24) in 1 Game for Storm!
[11/7/2025 5:58:35 PM] New Record for Team's Most Assists (16) in 1 Game for Storm!
[11/7/2025 5:58:35 PM] New Record for Team's Most Assists (16) in 1 Game for Storm!
[11/1/2025 4:57:54 PM] New Record for Team's Most Goals (8) in 1 Game for Storm!



Brody Eastwood est dehors pour 6 jours à cause de Bruised Left Leg 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 Zadoyanny1375769126-35613019843912.98%55258618.8817183534202107351.83%10.9713
2Brody Eastwood134546812273820426645911.76%55267319.9512263826022912552.26%10.9159
3Niko-Veikka Lindsten137326698-1593082143329.64%59264919.34924333000096152.40%00.7436
4Oystein Gravdahl123375087-3682492474039.18%49236119.206152115000158056.38%00.7414
5Aleksandr Podgaisky137375087-212631217932911.25%56243217.751417312800003551.16%00.7200

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
1Selmer Digernes74422350.9082.7643046319821441212430.88217
2Daniil Dauge70303070.9042.9339882219520211114320.73315

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
555252201520162144182715800310917318281014012107171061162281443033666574170352662055113162550529014641434027.97%1443774.31%2592108354.66%570105554.03%44378056.79%117564710945171050511
Total Saison régulière137545301010824044004683122055502212012069233105532183199-16156404683108755931501432243571332151614667241701337102635253239128.17%38011071.05%21513279254.19%1397264452.84%1053193254.50%293916472782128825811257
Séries éliminatoires
4261412000007780-31468000004250-812840000035305287712620330143624382119830929519816270144669632234.92%732565.75%222648047.08%27752852.46%19337351.74%567319539247499245
Total Séries éliminatoires261412000007780-31468000004250-812840000035305287712620330143624382119830929519816270144669632234.92%732565.75%222648047.08%27752852.46%19337351.74%567319539247499245

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 Gravdahl2611203132243649711.34%1349519.06178510130052.33%01.2500
2Jan Marek2691726-347640969.38%1661223.563710900013053.19%00.8500
3Brody Eastwood26913227251536713.43%1451419.785491201122049.41%00.8600
4Niko-Veikka Lindsten261382112043345225.00%1649919.21718900014133.96%00.8400
5Magnus Magnusson2641418482538785.13%3666225.4916730002100%00.5400

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 Dauge52100.9272.47219009124731000