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Connexion

Steelers
GP: 1 | W: 0 | L: 1 | OTL: 0 | P: 0
GF: 1 | GA: 2 | PP%: 0% | PK%: 50.00%
DG: | Morale : 40 | Moyenne d’équipe : 67
Prochains matchs #30 vs Menace

Centre de jeu
Steelers
0-1-0, 0pts
1
2 Hellcats
1-0-0, 2pts
Team Stats
L1SéquenceW1
0-0-0Fiche domicile1-0-0
0-1-0Fiche visiteur0-0-0
0-1-0Derniers 10 matchs1-0-0
1.00Buts par match 2.00
2.00Buts contre par match 1.00
0%Pourcentage en avantage numérique50.00%
50.00%Pourcentage en désavantage numérique0%
Menace
1-0-0, 2pts
2026-03-24
Steelers
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
1-0-010 derniers matchs0-1-0
5.00Buts par match 1.00
4.00Buts contre par match 1.00
25.00%Pourcentage en avantage numérique0%
66.67%Pourcentage en désavantage numérique50.00%
Steelers
0-1-0, 0pts
2026-03-26
Dragons
1-0-0, 2pts
Statistiques d’équipe
L1SéquenceW1
0-0-0Fiche domicile0-0-0
0-1-0Fiche visiteur1-0-0
0-1-010 derniers matchs1-0-0
1.00Buts par match 5.00
2.00Buts contre par match 5.00
0%Pourcentage en avantage numérique33.33%
50.00%Pourcentage en désavantage numérique100.00%
Fog
1-0-0, 2pts
2026-03-27
Steelers
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
0-0-0Fiche domicile0-0-0
1-0-0Fiche visiteur0-1-0
1-0-010 derniers matchs0-1-0
4.00Buts par match 1.00
3.00Buts contre par match 1.00
50.00%Pourcentage en avantage numérique0%
100.00%Pourcentage en désavantage numérique50.00%
Meneurs d'équipe
Buts
Walter Waspe
1
Passes
Alois Vimr
1
Points
Alois Vimr
1
Plus/Moins
Walter Waspe
1

Statistiques d’équipe
Buts pour
1
1.00 GFG
Tirs pour
27
27.00 Avg
Pourcentage en avantage numérique
0%
0 GF
Début de zone offensive
23.5%
Buts contre
2
2.00 GAA
Tirs contre
39
39.00 Avg
Pourcentage en désavantage numérique
50.0%%
2 GA
Début de la zone défensive
62.7%
Informations de l'équipe

Directeur général
EntraîneurTarvo Koivanen
DivisionCentral
ConférenceCanadian
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomCopps Coliseum
Capacité18,000
Assistance
Billets de saison7,200


Informations de la formation

Équipe Pro20
Équipe Mineure5
Limite Contrat25 / 50
Espoirs0


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées147,980$
Compte bancaire actuel0$
Compte bancaire projeté-147,980$


Historique d'équipe

Saison actuelle0-1-0 (0PTS)
Historique253-173-66 (0.514%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)14 - 13 (0.519%)
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
1Daniel Tengvall (R)0X100.0057547683828663645452816558525470407001910$
2Albert Sakharusov (R)0X100.0053624868797578535071778154606161406901910$
3Travis Marker (R)0X100.0078616872637980407366528562726070406801910$
4Sigurd Alatalo (R)0X100.0068747280766158577267736665506497406801610$
5Theodor Blau0X98.5053586179795774567059567160637588406501710$
6Abram Zvolynsky0X100.0067654463787275457171596357747483406501710$
7Semen Zaytsev (R)0X100.0078725070666356627361598051526679406501610$
8Andre Ortmann (R)0X100.0056565475617668666163505770686873406301910$
9Yakov Nikiforov (R)0X100.0059545176776460526361586954645893406301610$
10Jeremie Cundari0X100.0068586160625964755259605653586287406201710$
11Kurt Leggio0X100.0066635264645353466969716769736693406201710$
12Walter Waspe0X100.0065647185807873696177714862736364407301910$
13Alois Vimr (R)0X100.0052585169728386786865796057686262407102010$
14Iben Oksnes (R)0X100.0062708373587963656075745757556662406901910$
15Matteo Bachmann (R)0X100.0065636667696475616273617263595270406801910$
16Jindrich Kuban (R)0X100.0067635865766568526560567453696966406601910$
17Viktor Sekerka (R)0X100.0042576569746562695461805468566771406501610$
18Michael Rosser (R)0X100.0042605883636666746970642865556686406401910$
Rayé
MOYENNE D’ÉQUIPE99.92616261727169686064666664606264764066
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
1Vasily Podenok (R)099.007579595874727877676860617255407102010$
2Daniel Magnussen0100.006172726155717270685359474745406601910$
Rayé
MOYENNE D’ÉQUIPE99.5068766660657275746861605460504069
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tarvo Koivanen43805880343785FIN372150,000$


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
1Alois VimrSteelersD1011100000000%22121.620000000002000%002000.9300000000
2Walter WaspeSteelersD11011001241025.00%22525.470000000012000%021000.7900000000
3Iben OksnesSteelersD1000000212100%02020.570000000002000%00200000000000
4Jindrich KubanSteelersD1000000110000%11414.930000000000000%00000000000000
5Daniel TengvallSteelersC1000000143430%22525.2500000000030042.11%190200000000000
6Matteo BachmannSteelersD1000000130000%22020.420000000002000%00000000000000
7Andre OrtmannSteelersC1000000020000%01717.1800000000000050.00%20000000000000
8Albert SakharusovSteelersRW1000020315000%12020.850000000012000%31000000000000
9Michael RosserSteelersD1000020002010%066.920000000000000%00000000000000
10Travis MarkerSteelersRW1000100031020%02121.050000000002000%11100000000000
11Jeremie CundariSteelersLW1000000111010%01616.520000000000000%00000000000000
12Theodor BlauSteelersLW1000000020000%044.830000000000000%00000000000000
13Abram ZvolynskySteelersRW1000120251000%02020.38000000000000100.00%20100000000000
14Kurt LeggioSteelersRW1000000042000%088.18000000000000100.00%10000000000000
15Yakov NikiforovSteelersC1000000221010%01717.2200000000020050.00%60000000000000
16Viktor SekerkaSteelersD1000000001010%01414.130000000000000%00000000000000
17Sigurd AlataloSteelersLW1000000010000%000.800000000000000%00000000000000
18Semen ZaytsevSteelersC1000120044000%11818.1800000000000058.82%170200000000000
Statistiques d’équipe totales ou en moyenne18112580143627693.70%1129416.36000000002210049.02%51411000.1400000000
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
1Vasily PodenokSteelers10100.9492.03590023919000010001
Statistiques d’équipe totales ou en moyenne10100.9492.0359002391900010001


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
Abram ZvolynskySteelersRW172011-05-23RUSNo183 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-19FalseFalsePro & Farm0$0$No---------------------------
Albert SakharusovSteelersRW192009-10-06RUSYes230 Lbs6 ft8NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Alois VimrSteelersD202008-12-27CZEYes215 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Andre OrtmannSteelersC192009-11-06CANYes189 Lbs6 ft6NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Daniel MagnussenSteelersG192009-06-26NORNo230 Lbs6 ft8NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Daniel TengvallSteelersC192009-12-06SWEYes176 Lbs5 ft9NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Iben OksnesSteelersD192009-01-14NORYes184 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Jeremie CundariSteelersLW172011-08-04CANNo202 Lbs6 ft2NoNoAssign ManuallyNoNo12025-10-19FalseFalsePro & Farm0$0$No---------------------------
Jindrich KubanSteelersD192009-08-01SVKYes194 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Kurt LeggioSteelersRW172011-01-31USANo190 Lbs6 ft1NoNoAssign ManuallyNoNo12025-10-19FalseFalsePro & Farm0$0$No---------------------------
Matteo BachmannSteelersD192009-03-15SUIYes184 Lbs6 ft0NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Michael RosserSteelersD192009-08-13USAYes224 Lbs6 ft7NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Semen ZaytsevSteelersC162012-11-16UKRYes189 Lbs6 ft0NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Sigurd AlataloSteelersLW162012-01-27SWEYes213 Lbs6 ft1NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Theodor BlauSteelersLW172011-06-30GERNo211 Lbs6 ft1NoNoAssign ManuallyNoNo12025-10-19FalseFalsePro & Farm0$0$No---------------------------
Travis MarkerSteelersRW192009-09-23CANYes232 Lbs6 ft6NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Vasily PodenokSteelersG202008-12-27RUSYes185 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Viktor SekerkaSteelersD162012-06-21SVKYes212 Lbs6 ft4NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Walter WaspeSteelersD192009-07-27SUINo182 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Yakov NikiforovSteelersC162012-05-05RUSYes174 Lbs5 ft10NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2018.10200 Lbs6 ft21.000$

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



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sigurd AlataloDaniel TengvallAlbert Sakharusov35122
2Theodor BlauSemen ZaytsevTravis Marker35122
3Jeremie CundariAndre OrtmannAbram Zvolynsky20122
4Daniel TengvallYakov NikiforovKurt Leggio10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Walter WaspeAlois Vimr35122
2Iben OksnesMatteo Bachmann35122
3Jindrich KubanViktor Sekerka20122
4Michael RosserWalter Waspe10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sigurd AlataloDaniel TengvallAlbert Sakharusov50122
2Theodor BlauSemen ZaytsevTravis Marker50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Walter WaspeAlois Vimr50122
2Iben OksnesMatteo Bachmann50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Daniel TengvallAlbert Sakharusov50122
2Sigurd AlataloTravis Marker50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Walter WaspeAlois Vimr50122
2Iben OksnesMatteo Bachmann50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Daniel Tengvall50122Walter WaspeAlois Vimr50122
2Albert Sakharusov50122Iben OksnesMatteo Bachmann50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Daniel TengvallAlbert Sakharusov50122
2Sigurd AlataloTravis Marker50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Walter WaspeAlois Vimr50122
2Iben OksnesMatteo Bachmann50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sigurd AlataloDaniel TengvallAlbert SakharusovWalter WaspeAlois Vimr
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sigurd AlataloDaniel TengvallAlbert SakharusovWalter WaspeAlois Vimr
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Abram Zvolynsky, Andre Ortmann, Yakov NikiforovAbram Zvolynsky, Andre OrtmannYakov Nikiforov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jindrich Kuban, Viktor Sekerka, Michael RosserJindrich KubanViktor Sekerka, Michael Rosser
Tirs de pénalité
Daniel Tengvall, Albert Sakharusov, Sigurd Alatalo, Travis Marker, Semen Zaytsev
Gardien
#1 : Vasily Podenok, #2 : Daniel Magnussen
Lignes d’attaque personnalisées en prolongation
Daniel Tengvall, Albert Sakharusov, Sigurd Alatalo, Travis Marker, Semen Zaytsev, Theodor Blau, Abram Zvolynsky, Andre Ortmann, Yakov Nikiforov, Jeremie Cundari
Lignes de défense personnalisées en prolongation
Walter Waspe, Alois Vimr, Iben Oksnes, Matteo Bachmann, Jindrich Kuban


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
1Hellcats1010000012-1000000000001010000012-100.00011200010027137703911814000%4250.00%061250.00%143243.75%5771.43%1892191910
Total1010000012-1000000000001010000012-100.00011200010027137703911814000%4250.00%061250.00%143243.75%5771.43%1892191910
_Since Last GM Reset1010000012-1000000000001010000012-100.00011200010027137703911814000%4250.00%061250.00%143243.75%5771.43%1892191910

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
10L111227391181400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
101000012
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
101000012
Derniers 10 matchs
WLOTWOTL SOWSOL
010000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%4250.00%0
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
137700100
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
61250.00%143243.75%5771.43%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1892191910


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 - 2026-03-229Steelers1Hellcats2LSommaire du match
3 - 2026-03-2430Menace-Steelers-
5 - 2026-03-2640Steelers-Dragons-
6 - 2026-03-2760Fog-Steelers-
8 - 2026-03-2962Steelers-Newfies-
10 - 2026-03-3187Steelers-Reign-
12 - 2026-04-02105Reign-Steelers-
13 - 2026-04-03120Warhawks-Steelers-
15 - 2026-04-05135Newfies-Steelers-
16 - 2026-04-06142Reds-Steelers-
18 - 2026-04-08154Steelers-Terror-
20 - 2026-04-10180Steelers-Reds-
22 - 2026-04-12195Reds-Steelers-
27 - 2026-04-17239Berries-Steelers-
29 - 2026-04-19254Hellcats-Steelers-
30 - 2026-04-20261Mariners-Steelers-
32 - 2026-04-22270Steelers-Mariners-
34 - 2026-04-24285Steelers-Spirit-
36 - 2026-04-26313Steelers-Berries-
37 - 2026-04-27322Fog-Steelers-
39 - 2026-04-29336Steelers-Fog-
41 - 2026-05-01348Steelers-Raiders-
43 - 2026-05-03373Berries-Steelers-
45 - 2026-05-05388Dragons-Steelers-
47 - 2026-05-07402Howlers-Steelers-
48 - 2026-05-08417Steelers-Reds-
50 - 2026-05-10432Spirit-Steelers-
51 - 2026-05-11436Steelers-Quake-
53 - 2026-05-13453Steelers-Menace-
55 - 2026-05-15477Mammoth-Steelers-
57 - 2026-05-17488Steelers-Warhawks-
58 - 2026-05-18500Steelers-Fog-
60 - 2026-05-20507Steelers-Spirit-
62 - 2026-05-22533Steelers-Reapers-
64 - 2026-05-24548Steelers-Howlers-
65 - 2026-05-25554Steelers-Islanders-
67 - 2026-05-27572Steelers-Gators-
69 - 2026-05-29587Steelers-Chill-
71 - 2026-05-31606Steelers-Firebirds-
72 - 2026-06-01617Nighthawks-Steelers-
74 - 2026-06-03631Raiders-Steelers-
76 - 2026-06-05652Chill-Steelers-
78 - 2026-06-07667Spirit-Steelers-
80 - 2026-06-09676Steelers-Invaders-
82 - 2026-06-11696Force-Steelers-
85 - 2026-06-14715Steelers-Nighthawks-
87 - 2026-06-16739Steelers-Aviators-
89 - 2026-06-18755Lions-Steelers-
90 - 2026-06-19769Steelers-Fog-
92 - 2026-06-21781Steelers-Berries-
94 - 2026-06-23798Quake-Steelers-
96 - 2026-06-25812Terror-Steelers-
97 - 2026-06-26827Spirit-Steelers-
99 - 2026-06-28839Steelers-Force-
100 - 2026-06-29849Rapids-Steelers-
102 - 2026-07-01863Islanders-Steelers-
104 - 2026-07-03884Storm-Steelers-
106 - 2026-07-05899Invaders-Steelers-
107 - 2026-07-06903Steelers-Grizzlies-
109 - 2026-07-08916Steelers-Mammoth-
111 - 2026-07-10942Aviators-Steelers-
113 - 2026-07-12957Fog-Steelers-
114 - 2026-07-13965Grizzlies-Steelers-
116 - 2026-07-15971Steelers-Storm-
118 - 2026-07-17992Steelers-Rapids-
120 - 2026-07-191012Reapers-Steelers-
121 - 2026-07-201019Steelers-Lions-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
123 - 2026-07-221033Reds-Steelers-
125 - 2026-07-241052Gators-Steelers-
127 - 2026-07-261067Steelers-Reds-
128 - 2026-07-271069Steelers-Spirit-
130 - 2026-07-291087Steelers-Berries-
132 - 2026-07-311106Firebirds-Steelers-
134 - 2026-08-021118Steelers-Berries-
135 - 2026-08-031131Berries-Steelers-
137 - 2026-08-051142Steelers-Fog-
139 - 2026-08-071155Steelers-Reds-
141 - 2026-08-091167Reds-Steelers-
144 - 2026-08-121180Steelers-Spirit-
146 - 2026-08-141203Fog-Steelers-
150 - 2026-08-181220Berries-Steelers-
152 - 2026-08-201225Spirit-Steelers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance0%0%0%0%0%
Attendance PCT0%0%0%0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
41 0 - 0%0$0$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 0$ 0$ 150,000$0$ 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$ 151 980$ 147,980$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
147,980$ 0$ -147,980$



Charte de profondeur

Ailier gaucheCentreAilier droit
Sigurd Alatalo (R)AGE:16PO:97OV:68
Theodor BlauAGE:17PO:88OV:65
Jeremie CundariAGE:17PO:87OV:62
Georg SikstromAGE:19PO:88OV:59
Daniel Tengvall (R)AGE:19PO:70OV:70
Semen Zaytsev (R)AGE:16PO:79OV:65
Yakov Nikiforov (R)AGE:16PO:93OV:63
Andre Ortmann (R)AGE:19PO:73OV:63
Bobby Heemer (R)AGE:19PO:84OV:61
Albert Sakharusov (R)AGE:19PO:61OV:69
Travis Marker (R)AGE:19PO:70OV:68
Abram ZvolynskyAGE:17PO:83OV:65
Kurt LeggioAGE:17PO:93OV:62
Doug Liske (R)AGE:19PO:66OV:60

Défense #1Défense #2Gardien
Walter WaspeAGE:19PO:64OV:73
Alois Vimr (R)AGE:20PO:62OV:71
Iben Oksnes (R)AGE:19PO:62OV:69
Matteo Bachmann (R)AGE:19PO:70OV:68
Jindrich Kuban (R)AGE:19PO:66OV:66
Viktor Sekerka (R)AGE:16PO:71OV:65
Michael Rosser (R)AGE:19PO:86OV:64
Kalle Actopoli (R)AGE:19PO:75OV:60
Vasily Podenok (R)AGE:20PO:55OV:71
Daniel MagnussenAGE:19PO:45OV:66
Erich Simberg (R)AGE:19PO:65OV:60

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.




Steelers Historique de transactions




Pas de blessure ou de suspension.


Steelers 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
1Stephen Goupil5562292434721014841252746198711.52%1951064719.156156117159371028462342.83%30.89624
2Radyyon Rahozhkin62816529546011627611661370110214.97%3651171518.6533951288712324291155.30%10.79213
3Jason Krouse4581762434191761666554147211.96%223892819.503691127142511162936450.90%50.941038
4Waldemar Janne328155213368551901024667105114.75%197729722.252060807440425132138.73%41.01532
5Sampson Rushton4781611382991992996839148710.83%230872918.262132534598173932543.80%20.691340

Steelers 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
1Marc-Etienne Hansey388191138510.9082.84228022110811173770593550.675114
2Vasily Podenok1367247140.9192.4780094233040592185360.61526
3Leon Campaner804523100.9222.3147470118323561094310.65020
4Daniel Magnussen37171060.9182.50208901871057575300.62516
5Zayne Connop4081200.9013.48138100808083480000

Steelers 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
1803525087232181942440211204210111832840141304513107111-41002183575751135839015245366489387442240883236618632255323.56%1824873.63%2767163746.85%819175046.80%519106948.55%171196416627421471733
280292908635237242-540161506021134125940131402614103117-149123738562200447510714233867778185352251878543219341845027.17%2167366.20%5794149952.97%758150350.43%627114055.00%166691816917511505742
280292908635237242-540161506021134125940131402614103117-149123738562200447510714233867778185352251878543219341845027.17%2167366.20%5794149952.97%758150350.43%627114055.00%166691816917511505742
380293307443222220240161602033117111640131705410105109-48722235557751547087132281688790765552527810159618002056431.22%1885371.81%3830159152.17%793158450.06%586113751.54%161084617027661545781
482302501094422220517412190551011687294191605434106118-121012223675893235868719225163484272881246880548218421804525.00%1774574.58%4713148747.95%829160751.59%615110355.76%161682017247921638828
5824231024032392201941191601203112115-34123150120012710522952394026413142100952259477093188021255187835520311826133.52%1724872.09%3836162551.45%826166049.76%646117554.98%172294616657601560775
61010000012-1000000000001010000012-1011200010027137703911814000%4250.00%061250.00%143243.75%5771.43%1892191910
Total Saison régulière48519417304336162313761325512421098302499872464678243859001927715652679-275651376225236281252544905737714282412350254960303150294906367111418116032327.84%115534270.39%224740935050.70%4797963949.77%3625677153.54%10012542310161457392454613
Séries éliminatoires
121129000006061-11055000002628-211740000034331246010516501102323465219522422013695210104528571933.33%521865.38%120444545.84%22349844.78%13932842.38%446248440190387195
4624000001315-23120000068-23120000077041321340036401463066500190663214814321.43%16662.50%06411157.66%6011253.57%387550.67%116581285911758
Total Séries éliminatoires271413000007376-31367000003236-414860000041401287312619901132927479822529027013885276136676712230.99%682464.71%126855648.20%28361046.39%17740343.92%562307569249504254

Steelers 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
1Waldemar Janne1841519-5124832537.55%1035819.942810400010040.00%01.0600
2Israel Swenson2171219-322739907.78%1846222.04077901102043.28%00.8200
3Valery Vladimirov23712197217286111.48%1341618.114151100013052.00%00.9100
4Sampson Rushton217111801058356510.77%1242720.36235510121051.11%00.8400
5Fernando Langlois2031316-503141407.50%1744622.3326860001010%00.7200

Steelers 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
1Leon Campaner2012710.9202.64118401526473032000
2Vasily Podenok62310.9212.4936100151901080000
3Jean-Daniel Dhaliwal20100.8136.078900948170000