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Connexion

Steelers
GP: 30 | W: 16 | L: 9 | OTL: 5 | P: 37
GF: 76 | GA: 74 | PP%: 22.95% | PK%: 64.52%
DG: | Morale : 40 | Moyenne d’équipe : 67
Prochains matchs #488 vs Warhawks

Centre de jeu
Steelers
16-9-5, 37pts
2
5 Menace
17-11-4, 38pts
Team Stats
W1SéquenceSOL1
11-3-2Fiche domicile9-4-2
5-6-3Fiche visiteur8-7-2
6-2-2Derniers 10 matchs5-2-3
2.53Buts par match 3.00
2.47Buts contre par match 3.00
22.95%Pourcentage en avantage numérique27.85%
64.52%Pourcentage en désavantage numérique66.67%
Mammoth
17-11-3, 37pts
1
2 Steelers
16-9-5, 37pts
Team Stats
L1SéquenceW1
9-5-1Fiche domicile11-3-2
8-6-2Fiche visiteur5-6-3
6-4-0Derniers 10 matchs6-2-2
2.42Buts par match 2.53
2.19Buts contre par match 2.47
26.92%Pourcentage en avantage numérique22.95%
78.31%Pourcentage en désavantage numérique64.52%
Steelers
16-9-5, 37pts
2026-08-03
Warhawks
19-8-5, 43pts
Statistiques d’équipe
W1SéquenceL1
11-3-2Fiche domicile9-2-4
5-6-3Fiche visiteur10-6-1
6-2-210 derniers matchs6-2-2
2.53Buts par match 2.91
2.47Buts contre par match 2.91
22.95%Pourcentage en avantage numérique32.53%
64.52%Pourcentage en désavantage numérique73.75%
Steelers
16-9-5, 37pts
2026-08-04
Fog
13-14-5, 31pts
Statistiques d’équipe
W1SéquenceW2
11-3-2Fiche domicile5-4-3
5-6-3Fiche visiteur8-10-2
6-2-210 derniers matchs5-4-1
2.53Buts par match 2.84
2.47Buts contre par match 2.84
22.95%Pourcentage en avantage numérique26.03%
64.52%Pourcentage en désavantage numérique62.50%
Steelers
16-9-5, 37pts
2026-08-06
Spirit
14-13-4, 32pts
Statistiques d’équipe
W1SéquenceW3
11-3-2Fiche domicile10-8-1
5-6-3Fiche visiteur4-5-3
6-2-210 derniers matchs6-4-0
2.53Buts par match 2.74
2.47Buts contre par match 2.74
22.95%Pourcentage en avantage numérique38.03%
64.52%Pourcentage en désavantage numérique62.50%
Meneurs d'équipe
Buts
Daniel Tengvall
15
Passes
Walter Waspe
23
Points
Walter Waspe
28
Plus/Moins
Abram Zvolynsky
10
Victoires
Vasily Podenok
14
Pourcentage d’arrêts
Vasily Podenok
0.935

Statistiques d’équipe
Buts pour
76
2.53 GFG
Tirs pour
940
31.33 Avg
Pourcentage en avantage numérique
23.0%
14 GF
Début de zone offensive
36.8%
Buts contre
74
2.47 GAA
Tirs contre
886
29.53 Avg
Pourcentage en désavantage numérique
64.5%%
22 GA
Début de la zone défensive
37.4%
Informations de l'équipe

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


Informations de l’aréna

NomCopps Coliseum
Capacité18,000
Assistance0
Billets de saison7,200


Informations de la formation

Équipe Pro20
Équipe Mineure5
Limite Contrat25 / 50
Espoirs0


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées95,060$
Compte bancaire actuel0$
Compte bancaire projeté-95,060$


Historique d'équipe

Saison actuelle16-9-5 (37PTS)
Historique269-181-71 (0.516%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)20 - 20 (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
1Daniel Tengvall (R)0X98.0057547683828663645452816558525470407001910$
2Albert Sakharusov (R)0X100.0053624868797578535071778154606161406901910$
3Travis Marker (R)0X100.0078616872637980407366528562726070406801910$
4Sigurd Alatalo (R)0X100.0068747280766158577267736665506497406801610$
5Theodor Blau0X100.0053586179795774567059567160637588406501710$
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’ÉQUIPE99.89616261727169686064666664606264764066
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
1Walter WaspeSteelersD305232826046567733456.49%4176925.663581153000443000%03818000.7300000210
2Sigurd AlataloSteelersLW30101424020594996326710.42%2155118.3834712490002383150.59%852711000.8703000331
3Daniel TengvallSteelersC3015823-5204955101354714.85%1571923.972357500002444039.36%7192225000.6403000403
4Albert SakharusovSteelersRW3061117-4200603960172610.00%2057019.022133490003371147.22%361011000.6023000102
5Theodor BlauSteelersLW30791666040438424498.33%1055018.36224551000001062.50%161510000.5800000022
6Semen ZaytsevSteelersC309716712087619318469.68%1456218.76134551000003151.96%433148000.5711000112
7Jeremie CundariSteelersLW30581372045297825606.41%1042214.0900000000231237.50%855000.6200000021
8Alois VimrSteelersD3011112016035424918142.04%3264221.42044253000439000%11116000.3700000001
9Andre OrtmannSteelersC30571276038416426407.81%843214.4000003000011052.12%165196000.5611000001
10Travis MarkerSteelersRW30751284060593481620.59%1460920.321122520002411062.96%271013100.3913000221
11Matteo BachmannSteelersD30088104035542418150%3864121.39011250000140000%0420000.2500000000
12Abram ZvolynskySteelersRW305381020059372971717.24%1444614.8700004000000145.00%20317000.3600000101
13Iben OksnesSteelersD3005590018325823230%3265321.78000550000144000%01923000.1500000000
14Jindrich KubanSteelersD30055140192011550%1837812.610000000000000%0310000.2600000000
15Viktor SekerkaSteelersD30044000915305150%1738512.8400000000012000%0135000.2100000000
16Kurt LeggioSteelersRW30011-240181818670%72147.1600000000000066.67%348000.0901000000
17Michael RosserSteelersD30000060105020%01595.300000000002000%00000000000000
18Yakov NikiforovSteelersC30000-1602020299130%42568.54000000000120048.91%922600000000000
Statistiques d’équipe totales ou en moyenne540751292045512006986709403095077.98%315896616.60142438545250002136315646.11%1605219212100.46515000141115
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 PodenokSteelers2114340.9351.9312782241628342010.60015219332
2Daniel MagnussenSteelers92610.8873.2353920292561340100921011
Statistiques d’équipe totales ou en moyenne3016950.9212.311817427088447602153030343


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
1Berries32100000660220000006421010000002-240.667611170012309933293708623467500.00%2150.00%026658245.70%27959147.21%19540947.68%663859275427
2Dragons2010010069-31000010045-11010000024-210.2506101600213073152928155216445480.00%3233.33%026658245.70%27959147.21%19540947.68%422339183818
3Fog31101000963211000006421000100032140.66791726101521873437151932812616116.67%6266.67%026658245.70%27959147.21%19540947.68%623459285829
4Hellcats2010000135-21000000123-11010000012-110.25034700021261211327769221440300.00%7357.14%026658245.70%27959147.21%19540947.68%402045193920
5Howlers10001000431100010004310000000000021.000471100102128781123398182150.00%4250.00%026658245.70%27959147.21%19540947.68%20102210199
6Mammoth11000000211110000002110000000000021.000246000200301112703312227300.00%110.00%026658245.70%27959147.21%19540947.68%20101991910
7Mariners21000100770110000003211000010045-130.75071118002320521915180513184922100.00%40100.00%026658245.70%27959147.21%19540947.68%382043183818
8Menace2010001057-2100000103211010000025-320.50057120004027020321487030844400.00%4250.00%026658245.70%27959147.21%19540947.68%412245183819
9Newfies21001000633110000003121000100032141.000691500221164231921174170462150.00%000%026658245.70%27959147.21%19540947.68%361943213918
10Quake11000000321000000000001100000032121.00036900210033919503561029400.00%5180.00%026658245.70%27959147.21%19540947.68%2010209189
11Raiders1000000134-1000000000001000000134-110.50035800012137613184317821100.00%40100.00%026658245.70%27959147.21%19540947.68%23122181910
12Reds422000001082211000008532110000023-140.5001019291121701294542420102422410111327.27%12650.00%026658245.70%27959147.21%19540947.68%824480387738
13Reign21000100330110000002111000010012-130.75035800111054121329053351249300.00%6183.33%026658245.70%27959147.21%19540947.68%392042183718
14Spirit22000000725110000004221100000030341.0007121901115061162223047114493133.33%20100.00%026658245.70%27959147.21%19540947.68%422439173819
15Terror1010000013-2000000000001010000013-200.00011200010030513120269231200.00%10100.00%026658245.70%27959147.21%19540947.68%1992010209
16Warhawks1010000015-41010000015-40000000000000.0001120010003213118028122225120.00%110.00%026658245.70%27959147.21%19540947.68%2112219179
Total3012903312767421693011114838101436022012836-8370.6177612920522162729894028932731524886315124698611422.95%622264.52%026658245.70%27959147.21%19540947.68%618334624285576288
_Since Last GM Reset3012903312767421693011114838101436022012836-8370.6177612920522162729894028932731524886315124698611422.95%622264.52%026658245.70%27959147.21%19540947.68%618334624285576288
_Vs Conference22105033016151101282011004027131023022012124-3300.68261106167221317284684210227242962522486505401332.50%431467.44%026658245.70%27959147.21%19540947.68%454248452208422210
_Vs Division127401000322210752000002415952201000871160.667325991225917137612813011713281044427825520.00%22959.09%026658245.70%27959147.21%19540947.68%253141238111228114

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3037W17612920594088631512469822
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3012933127674
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
169311114838
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
143622012836
Derniers 10 matchs
WLOTWOTL SOWSOL
620101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
611422.95%622264.52%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
289327315241627298
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
26658245.70%27959147.21%19540947.68%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
618334624285576288


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 - 2026-06-089Steelers1Hellcats2LSommaire du match
3 - 2026-06-1030Menace2Steelers3WXXSommaire du match
5 - 2026-06-1240Steelers2Dragons4LSommaire du match
6 - 2026-06-1360Fog3Steelers1LSommaire du match
8 - 2026-06-1562Steelers3Newfies2WXSommaire du match
10 - 2026-06-1787Steelers1Reign2LXSommaire du match
12 - 2026-06-19105Reign1Steelers2WSommaire du match
13 - 2026-06-20120Warhawks5Steelers1LSommaire du match
15 - 2026-06-22135Newfies1Steelers3WSommaire du match
16 - 2026-06-23142Reds4Steelers2LSommaire du match
18 - 2026-06-25154Steelers1Terror3LSommaire du match
20 - 2026-06-27180Steelers1Reds0WSommaire du match
22 - 2026-06-29195Reds1Steelers6WSommaire du match
27 - 2026-07-04239Berries3Steelers4WSommaire du match
29 - 2026-07-06254Hellcats3Steelers2LXXSommaire du match
30 - 2026-07-07261Mariners2Steelers3WSommaire du match
32 - 2026-07-09270Steelers4Mariners5LXSommaire du match
34 - 2026-07-11285Steelers3Spirit0WSommaire du match
36 - 2026-07-13313Steelers0Berries2LSommaire du match
37 - 2026-07-14322Fog1Steelers5WSommaire du match
39 - 2026-07-16336Steelers3Fog2WXSommaire du match
41 - 2026-07-18348Steelers3Raiders4LXXSommaire du match
43 - 2026-07-20373Berries1Steelers2WSommaire du match
45 - 2026-07-22388Dragons5Steelers4LXSommaire du match
47 - 2026-07-24402Howlers3Steelers4WXSommaire du match
48 - 2026-07-25417Steelers1Reds3LSommaire du match
50 - 2026-07-27432Spirit2Steelers4WSommaire du match
51 - 2026-07-28436Steelers3Quake2WSommaire du match
53 - 2026-07-30453Steelers2Menace5LSommaire du match
55 - 2026-08-01477Mammoth1Steelers2WSommaire du match
57 - 2026-08-03488Steelers-Warhawks-
58 - 2026-08-04500Steelers-Fog-
60 - 2026-08-06507Steelers-Spirit-
62 - 2026-08-08533Steelers-Reapers-
64 - 2026-08-10548Steelers-Howlers-
65 - 2026-08-11554Steelers-Islanders-
67 - 2026-08-13572Steelers-Gators-
69 - 2026-08-15587Steelers-Chill-
71 - 2026-08-17606Steelers-Firebirds-
72 - 2026-08-18617Nighthawks-Steelers-
74 - 2026-08-20631Raiders-Steelers-
76 - 2026-08-22652Chill-Steelers-
78 - 2026-08-24667Spirit-Steelers-
80 - 2026-08-26676Steelers-Invaders-
82 - 2026-08-28696Force-Steelers-
85 - 2026-08-31715Steelers-Nighthawks-
87 - 2026-09-02739Steelers-Aviators-
89 - 2026-09-04755Lions-Steelers-
90 - 2026-09-05769Steelers-Fog-
92 - 2026-09-07781Steelers-Berries-
94 - 2026-09-09798Quake-Steelers-
96 - 2026-09-11812Terror-Steelers-
97 - 2026-09-12827Spirit-Steelers-
99 - 2026-09-14839Steelers-Force-
100 - 2026-09-15849Rapids-Steelers-
102 - 2026-09-17863Islanders-Steelers-
104 - 2026-09-19884Storm-Steelers-
106 - 2026-09-21899Invaders-Steelers-
107 - 2026-09-22903Steelers-Grizzlies-
109 - 2026-09-24916Steelers-Mammoth-
111 - 2026-09-26942Aviators-Steelers-
113 - 2026-09-28957Fog-Steelers-
114 - 2026-09-29965Grizzlies-Steelers-
116 - 2026-10-01971Steelers-Storm-
118 - 2026-10-03992Steelers-Rapids-
120 - 2026-10-051012Reapers-Steelers-
121 - 2026-10-061019Steelers-Lions-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
123 - 2026-10-081033Reds-Steelers-
125 - 2026-10-101052Gators-Steelers-
127 - 2026-10-121067Steelers-Reds-
128 - 2026-10-131069Steelers-Spirit-
130 - 2026-10-151087Steelers-Berries-
132 - 2026-10-171106Firebirds-Steelers-
134 - 2026-10-191118Steelers-Berries-
135 - 2026-10-201131Berries-Steelers-
137 - 2026-10-221142Steelers-Fog-
139 - 2026-10-241155Steelers-Reds-
141 - 2026-10-261167Reds-Steelers-
144 - 2026-10-291180Steelers-Spirit-
146 - 2026-10-311203Fog-Steelers-
150 - 2026-11-041220Berries-Steelers-
152 - 2026-11-061225Spirit-Steelers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
25 0 - 0.00% 0$0$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 0$ 0$ 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$ 97 980$ 95,060$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
95,060$ 0$ -95,060$



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

[6/19/2026 6:14:00 PM] New Record for Team's Most Shots Blocked (25) in 1 Game for Steelers!



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 Podenok1568649180.9212.4092286436946482508370.61041
3Leon Campaner804523100.9222.3147470118323561094310.65020
4Daniel Magnussen46191670.9122.652628211161313709310.62516
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
63012903312767421693011114838101436022012836-8377612920522162729894028932731524886315124698611422.95%622264.52%026658245.70%27959147.21%19540947.68%618334624285576288
Total Saison régulière5142061810463917251451139754258118860251010977268488256889502129716679713-346021451238038311472705166028515195439953455268327158765210378712102122133727.60%121336270.16%225000992050.40%50621019849.64%3815717353.19%10612574810763485098024892
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
51367000002937-8624000001323-1074300000161421229487711791033961221411141937714566330361336.11%33681.82%015428853.47%13725254.37%9117552.00%281149270130264130
Total Séries éliminatoires40202000000102113-1119811000004559-1421129000005754340102174276122038377119434743138432126242120210061073532.71%1013070.30%142284450.00%42086248.72%26857846.37%844456839379768384

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
1Radyyon Rahozhkin3212921-13277936418.75%1763019.695510800012056.69%00.6700
2Waldemar Janne1841519-5124832537.55%1035819.942810400010040.00%01.0600
3Israel Swenson2171219-322739907.78%1846222.04077901102043.28%00.8200
4Valery Vladimirov23712197217286111.48%1341618.114151100013052.00%00.9100
5Sampson Rushton217111801058356510.77%1242720.36235510121051.11%00.8400

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 Podenok198920.9112.57114621495533010100
3Daniel Magnussen10000.8464.00300021350000
4Jean-Daniel Dhaliwal20100.8136.078900948170000