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Connexion

Steelers
GP: 53 | W: 30 | L: 21 | OTL: 2 | P: 62
GF: 165 | GA: 141 | PP%: 34.21% | PK%: 68.42%
DG: | Morale : 40 | Moyenne d’équipe : 66
Prochains matchs #839 vs Force

Centre de jeu
Terror
29-22-5, 63pts
2
4 Steelers
30-21-2, 62pts
Team Stats
W1SéquenceW5
15-11-3Fiche domicile13-11-1
14-11-2Fiche visiteur17-10-1
6-3-1Derniers 10 matchs8-2-0
2.68Buts par match 3.11
2.64Buts contre par match 2.66
34.51%Pourcentage en avantage numérique34.21%
70.77%Pourcentage en désavantage numérique68.42%
Spirit
37-15-3, 77pts
3
5 Steelers
30-21-2, 62pts
Team Stats
L1SéquenceW5
23-6-1Fiche domicile13-11-1
14-9-2Fiche visiteur17-10-1
7-2-1Derniers 10 matchs8-2-0
2.87Buts par match 3.11
2.27Buts contre par match 2.66
37.88%Pourcentage en avantage numérique34.21%
69.91%Pourcentage en désavantage numérique68.42%
Steelers
30-21-2, 62pts
2025-11-04
Force
31-16-7, 69pts
Statistiques d’équipe
W5SéquenceL2
13-11-1Fiche domicile20-5-4
17-10-1Fiche visiteur11-11-3
8-2-010 derniers matchs6-4-0
3.11Buts par match 3.02
2.66Buts contre par match 3.02
34.21%Pourcentage en avantage numérique38.89%
68.42%Pourcentage en désavantage numérique64.55%
Rapids
29-23-2, 60pts
2025-11-05
Steelers
30-21-2, 62pts
Statistiques d’équipe
W1SéquenceW5
16-11-1Fiche domicile13-11-1
13-12-1Fiche visiteur17-10-1
5-5-010 derniers matchs8-2-0
2.72Buts par match 3.11
2.65Buts contre par match 3.11
34.62%Pourcentage en avantage numérique34.21%
63.85%Pourcentage en désavantage numérique68.42%
Islanders
33-20-3, 69pts
2025-11-07
Steelers
30-21-2, 62pts
Statistiques d’équipe
W1SéquenceW5
16-10-2Fiche domicile13-11-1
17-10-1Fiche visiteur17-10-1
7-3-010 derniers matchs8-2-0
2.89Buts par match 3.11
2.70Buts contre par match 3.11
27.64%Pourcentage en avantage numérique34.21%
61.60%Pourcentage en désavantage numérique68.42%
Meneurs d'équipe
Buts
Radyyon Rahozhkin
23
Passes
Nicolae Cuza
37
Points
Nicolae Cuza
58
Plus/Moins
Radyyon Rahozhkin
17
Victoires
Vasily Podenok
22
Pourcentage d’arrêts
Daniel Magnussen
0.924

Statistiques d’équipe
Buts pour
165
3.11 GFG
Tirs pour
1679
31.68 Avg
Pourcentage en avantage numérique
34.2%
39 GF
Début de zone offensive
36.1%
Buts contre
141
2.66 GAA
Tirs contre
1663
31.38 Avg
Pourcentage en désavantage numérique
68.4%%
36 GA
Début de la zone défensive
37.6%
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 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 estimées54,880$
Compte bancaire actuel0$
Compte bancaire projeté-54,880$


Historique d'équipe

Saison actuelle30-21-2 (62PTS)
Historique239-162-62 (0.516%)
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
1Napoleon Findlayson (R)0X96.0070557980677373567167777375626471407101910$
2Daniel Tengvall (R)0X99.0058547483818462635551806458525475406901810$
3Nicolae Cuza (R)0X97.0086527684606882625370427074333980406802010$
4Albert Sakharusov (R)0X99.0052624968787276525068767854606166406801810$
5Travis Marker (R)0X100.0077616872637778397365518159726074406701810$
6Abram Zvolynsky0X100.0066654464797073467170606257747486406501610$
7Theodor Blau0X98.0051586178785472557058526958637594406401610$
8Andre Ortmann (R)0X100.0054565376627567676063505867686877406301810$
9Kurt Leggio0X100.0067635265665251466970726769736699406201610$
10Bobby Heemer (R)0X100.0055626661595768625258755557606388466101810$
11Doug Liske (R)0X100.0049596166405460766775347574556770526101810$
12Jeremie Cundari0X100.0067586061625662755259595653586292406101610$
13Walter Waspe0X97.0064647084777572676175694762736369407101810$
14Alois Vimr (R)0X98.0051585268697984766863775757686268406901910$
15Iben Oksnes (R)0X100.0061708172557561646073745657556668406701810$
16Matteo Bachmann (R)0X100.0064636666676173606272607063595274406701810$
17Jindrich Kuban (R)0X100.0066635866776366526559577053696969406601810$
18Michael Rosser (R)0X100.0043605784636364756968643065556691406401810$
Rayé
1Radyyon Rahozhkin (R)0X95.0083416965807488859341668453513377407302010$
MOYENNE D’ÉQUIPE98.89625963726867706264646364616161784166
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)097.007478585672717677676760617258407001910$
2Daniel Magnussen098.006071715953707069675258474748406401810$
Rayé
MOYENNE D’ÉQUIPE97.5067756558637173736760595460534067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tarvo Koivanen41785678343787FIN362150,000$


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
1Nicolae CuzaSteelersLW532137581480110751786111011.80%21100418.955192416801129715239.08%874718011.1500000452
2Napoleon FindlaysonSteelersC53232649-6001081131896810712.17%33105719.96581313730003777150.32%7793830000.9300000652
3Radyyon RahozhkinSteelersC52232548171201371691896210612.17%50121723.419122116780004700357.64%12891935110.7900000343
4Walter WaspeSteelersD4983038800628614252715.63%52122625.0475121071000264210%04725000.6200000114
5Albert SakharusovSteelersRW53201838134408983104306819.23%3193017.566281080000052140.00%501624100.8200000114
6Iben OksnesSteelersD5312728142042789839361.02%63115421.78156877000179000%03731000.4900000020
7Daniel TengvallSteelersC501711289205379157508410.83%2076715.35101231125724141.55%3734119010.7300000304
8Alois VimrSteelersD538172511420568710144427.92%72132725.04336879000265400%04641000.3800000202
9Theodor BlauSteelersLW53111324-42009991101508410.89%3196918.29156372000001044.68%472313000.5000000022
10Travis MarkerSteelersRW5391120-42001019754173016.67%4097618.42145473000001244.74%38625000.4100000012
11Jeremie CundariSteelersLW53119205140815270274915.71%1473813.9400000000041041.67%241012000.5400000015
12Michael RosserSteelersD530151536014187528300%1270913.3900000000116000%1193000.4200000001
13Abram ZvolynskySteelersRW53312155280111634716436.38%1974914.1400001000001047.37%19611000.4000000120
14Matteo BachmannSteelersD530131368068735914190%71115021.71011277000272000%01540000.2300000100
15Andre OrtmannSteelersC486612240483848112312.50%113848.00000000000122044.79%163149000.6200000001
16Jindrich KubanSteelersD5301010312055452612120%4474414.0600007000016000%0330000.2700000000
17Kurt LeggioSteelersRW5332574047262451512.50%103747.0600001000020040.00%10610000.2700000000
18Bobby HeemerSteelersC5311230051215766.67%22003.7800002000010044.44%4510000.2000000000
19Doug LiskeSteelersRW9000000120000%1232.5800000000000040.00%50000000000000
20Kalle ActopoliFarm Team 16 (STL)D4000-120232000%55313.460000000003000%00300000000000
Statistiques d’équipe totales ou en moyenne95416528344810522801289129016795939359.83%6021576116.5239641039278022429636301151.19%2930394379230.5700000222432
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 PodenokSteelers44222020.9132.7125900111713487261000449621
2Daniel MagnussenSteelers118100.9242.4259500243151752000944030
Statistiques d’équipe totales ou en moyenne55302120.9152.6631850114116639013005353651


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 ZvolynskySteelersRW162011-05-23RUSNo183 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-19FalseFalsePro & Farm0$0$No---------------------------
Albert SakharusovSteelersRW182009-10-06RUSYes230 Lbs6 ft8NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Alois VimrSteelersD192008-12-27CZEYes215 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Andre OrtmannSteelersC182009-11-06CANYes189 Lbs6 ft6NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Bobby HeemerSteelersC182009-01-20CANYes207 Lbs6 ft0NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Daniel MagnussenSteelersG182009-06-26NORNo230 Lbs6 ft8NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Daniel TengvallSteelersC182009-12-06SWEYes176 Lbs5 ft9NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Doug LiskeSteelersRW182009-12-08CANYes225 Lbs6 ft6NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Iben OksnesSteelersD182009-01-14NORYes184 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Jeremie CundariSteelersLW162011-08-04CANNo202 Lbs6 ft2NoNoAssign ManuallyNoNo12025-10-19FalseFalsePro & Farm0$0$No---------------------------
Jindrich KubanSteelersD182009-08-01SVKYes194 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Kurt LeggioSteelersRW162011-01-31USANo190 Lbs6 ft1NoNoAssign ManuallyNoNo12025-10-19FalseFalsePro & Farm0$0$No---------------------------
Matteo BachmannSteelersD182009-03-15SUIYes184 Lbs6 ft0NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Michael RosserSteelersD182009-08-13USAYes224 Lbs6 ft7NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Napoleon FindlaysonSteelersC192008-12-27USAYes230 Lbs6 ft5NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Nicolae CuzaSteelersLW202007-03-13ROUYes206 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Radyyon Rahozhkin (sur la masse salariale)SteelersC202007-11-23BLRYes172 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Theodor BlauSteelersLW162011-06-30GERNo211 Lbs6 ft1NoNoAssign ManuallyNoNo12025-10-19FalseFalsePro & Farm0$0$No---------------------------
Travis MarkerSteelersRW182009-09-23CANYes232 Lbs6 ft6NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Vasily PodenokSteelersG192008-12-27RUSYes185 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Walter WaspeSteelersD182009-07-27SUINo182 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2117.95202 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
1Nicolae CuzaNapoleon FindlaysonAlbert Sakharusov35122
2Theodor BlauDaniel TengvallTravis Marker35122
3Jeremie CundariAndre OrtmannAbram Zvolynsky20122
4Napoleon FindlaysonBobby HeemerKurt Leggio10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Walter WaspeAlois Vimr35122
2Iben OksnesMatteo Bachmann35122
3Jindrich KubanMichael Rosser20122
4Walter WaspeAlois Vimr10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicolae CuzaNapoleon FindlaysonAlbert Sakharusov50122
2Theodor BlauDaniel TengvallTravis Marker50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Walter WaspeAlois Vimr50122
2Iben OksnesMatteo Bachmann50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Napoleon FindlaysonDaniel Tengvall50122
2Nicolae CuzaAlbert Sakharusov50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Walter WaspeAlois Vimr50122
2Iben OksnesMatteo Bachmann50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Napoleon Findlayson50122Walter WaspeAlois Vimr50122
2Daniel Tengvall50122Iben OksnesMatteo Bachmann50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Napoleon FindlaysonDaniel Tengvall50122
2Nicolae CuzaAlbert Sakharusov50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Walter WaspeAlois Vimr50122
2Iben OksnesMatteo Bachmann50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicolae CuzaNapoleon FindlaysonAlbert SakharusovWalter WaspeAlois Vimr
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicolae CuzaNapoleon FindlaysonAlbert SakharusovWalter WaspeAlois Vimr
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Doug Liske, Abram Zvolynsky, Andre OrtmannDoug Liske, Abram ZvolynskyAndre Ortmann
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jindrich Kuban, Michael Rosser, Iben OksnesJindrich KubanMichael Rosser, Iben Oksnes
Tirs de pénalité
Napoleon Findlayson, Daniel Tengvall, Nicolae Cuza, Albert Sakharusov, Travis Marker
Gardien
#1 : Daniel Magnussen, #2 : Vasily Podenok
Lignes d’attaque personnalisées en prolongation
Napoleon Findlayson, Daniel Tengvall, Nicolae Cuza, Albert Sakharusov, Travis Marker, Abram Zvolynsky, Theodor Blau, Andre Ortmann, Kurt Leggio, Doug Liske
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
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
1Aviators11000000211000000000001100000021121.0002240000202410680325220000%10100.00%0522105349.57%550109750.14%42876955.66%2111199199
2Berries4220000014140211000007522110000079-240.50014274100626013145365001313610929111.11%5340.00%0522105349.57%550109750.14%42876955.66%804382367639
3Chill2110000034-11010000013-21100000021120.50036900111068152528062910534125.00%5180.00%0522105349.57%550109750.14%42876955.66%422341183617
4Dragons2020000038-51010000025-31010000013-200.000358000120661918290692014443266.67%7271.43%0522105349.57%550109750.14%42876955.66%412140193818
5Firebirds11000000532000000000001100000053221.0005712000230303101702890295360.00%000%0522105349.57%550109750.14%42876955.66%2091992010
6Fog52201000121202010100046-23210000086260.6001222340017311464463372152532613412325.00%13284.62%0522105349.57%550109750.14%42876955.66%10455103489647
7Force11000000321110000003210000000000021.00035800120035918803820231200.00%110.00%0522105349.57%550109750.14%42876955.66%2212208179
8Gators11000000422000000000001100000042221.0004711000220371414902484243133.33%20100.00%0522105349.57%550109750.14%42876955.66%2315178199
9Hellcats220000001147110000005321100000061541.000111930002450591612310563010403133.33%5180.00%1522105349.57%550109750.14%42876955.66%392040193919
10Howlers2020000036-31010000024-21010000012-100.000347001020601123260723012633133.33%6350.00%0522105349.57%550109750.14%42876955.66%432438183818
11Invaders1010000013-2000000000001010000013-200.00011200100025123100278426300.00%20100.00%0522105349.57%550109750.14%42876955.66%1991910209
12Islanders11000000211000000000001100000021121.00024600011031111550341542922100.00%20100.00%0522105349.57%550109750.14%42876955.66%2010208199
13Lions1010000025-31010000025-30000000000000.0002460000203211120039188123133.33%4250.00%0522105349.57%550109750.14%42876955.66%1911229178
14Mammoth11000000312110000003120000000000021.00036900120033915903211023100.00%000%0522105349.57%550109750.14%42876955.66%2011208189
15Mariners220000001248110000004311100000081741.00012233500192067173020071254517228.57%2150.00%0522105349.57%550109750.14%42876955.66%422442173517
16Menace220000001028110000003121100000071641.00010172700433076242824045284592150.00%20100.00%1522105349.57%550109750.14%42876955.66%432537173818
17Newfies2110000089-1110000005411010000035-220.50081422002420481314210572210486233.33%50100.00%0522105349.57%550109750.14%42876955.66%381940194019
18Nighthawks211000009811010000024-21100000074320.5009162500045069192228066208384250.00%4250.00%0522105349.57%550109750.14%42876955.66%412442183618
19Quake2110000059-4110000003211010000027-520.5005813002210582917120713814413133.33%7442.86%0522105349.57%550109750.14%42876955.66%402241183718
20Raiders22000000835110000004311100000040441.0008132101125059221621061186582150.00%3166.67%0522105349.57%550109750.14%42876955.66%422339173718
21Reapers1010000023-1000000000001010000023-100.000235000200288146030176232150.00%3166.67%0522105349.57%550109750.14%42876955.66%2010219188
22Reds41100200121202010010036-32100010096340.50012203200255013545454501363516944125.00%8537.50%0522105349.57%550109750.14%42876955.66%844882387736
23Reign211000005411010000012-11100000042220.5005813001310622423150603216496350.00%8187.50%0522105349.57%550109750.14%42876955.66%432438193718
24Spirit514000001215-3312000009902020000036-320.2001219310017401805171580148492211313538.46%11463.64%0522105349.57%550109750.14%42876955.66%10760100439146
25Terror22000000734110000004221100000031241.0007111800052067192523065266495120.00%3166.67%0522105349.57%550109750.14%42876955.66%432440173619
26Warhawks22000000734110000004131100000032141.00071219001240531517210572010467342.86%5180.00%0522105349.57%550109750.14%42876955.66%381942203918
Total5329210120016514124251211011007171028171000100947024620.58516528344801297263116795055915812166360222812891143934.21%1143668.42%2522105349.57%550109750.14%42876955.66%110660710784911004497
_Since Last GM Reset5329210120016514124251211011007171028171000100947024620.58516528344801297263116795055915812166360222812891143934.21%1143668.42%2522105349.57%550109750.14%42876955.66%110660710784911004497
_Vs Conference331416012001009641659011004351-8179700100574512320.485100173273011644391104732036735821055345146804692333.33%732467.12%0522105349.57%550109750.14%42876955.66%693381671306625308
_Vs Division1869012005053-3925011002326-39440010027270160.4445088138001021181592185215190256717374433381026.32%371462.16%0522105349.57%550109750.14%42876955.66%378208369166341170

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5362W516528344816791663602228128901
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5329211200165141
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
25121111007171
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
28171001009470
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1143934.21%1143668.42%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
50559158122972631
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
522105349.57%550109750.14%42876955.66%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
110660710784911004497


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 - 2025-07-299Steelers6Hellcats1WSommaire du match
3 - 2025-07-3130Menace1Steelers3WSommaire du match
5 - 2025-08-0240Steelers1Dragons3LSommaire du match
6 - 2025-08-0360Fog4Steelers1LSommaire du match
8 - 2025-08-0562Steelers3Newfies5LSommaire du match
10 - 2025-08-0787Steelers4Reign2WSommaire du match
12 - 2025-08-09105Reign2Steelers1LSommaire du match
13 - 2025-08-10120Warhawks1Steelers4WSommaire du match
15 - 2025-08-12135Newfies4Steelers5WSommaire du match
16 - 2025-08-13142Reds3Steelers2LXSommaire du match
18 - 2025-08-15154Steelers3Terror1WSommaire du match
20 - 2025-08-17180Steelers3Reds4LXSommaire du match
22 - 2025-08-19195Reds3Steelers1LSommaire du match
27 - 2025-08-24239Berries4Steelers2LSommaire du match
29 - 2025-08-26254Hellcats3Steelers5WSommaire du match
30 - 2025-08-27261Mariners3Steelers4WSommaire du match
32 - 2025-08-29270Steelers8Mariners1WSommaire du match
34 - 2025-08-31285Steelers1Spirit3LSommaire du match
36 - 2025-09-02313Steelers1Berries5LSommaire du match
37 - 2025-09-03322Fog2Steelers3WXSommaire du match
39 - 2025-09-05336Steelers1Fog4LSommaire du match
41 - 2025-09-07348Steelers4Raiders0WSommaire du match
43 - 2025-09-09373Berries1Steelers5WSommaire du match
45 - 2025-09-11388Dragons5Steelers2LSommaire du match
47 - 2025-09-13402Howlers4Steelers2LSommaire du match
48 - 2025-09-14417Steelers6Reds2WSommaire du match
50 - 2025-09-16432Spirit4Steelers3LSommaire du match
51 - 2025-09-17436Steelers2Quake7LSommaire du match
53 - 2025-09-19453Steelers7Menace1WSommaire du match
55 - 2025-09-21477Mammoth1Steelers3WSommaire du match
57 - 2025-09-23488Steelers3Warhawks2WSommaire du match
58 - 2025-09-24500Steelers3Fog1WSommaire du match
60 - 2025-09-26507Steelers2Spirit3LSommaire du match
62 - 2025-09-28533Steelers2Reapers3LSommaire du match
64 - 2025-09-30548Steelers1Howlers2LSommaire du match
65 - 2025-10-01554Steelers2Islanders1WSommaire du match
67 - 2025-10-03572Steelers4Gators2WSommaire du match
69 - 2025-10-05587Steelers2Chill1WSommaire du match
71 - 2025-10-07606Steelers5Firebirds3WSommaire du match
72 - 2025-10-08617Nighthawks4Steelers2LSommaire du match
74 - 2025-10-10631Raiders3Steelers4WSommaire du match
76 - 2025-10-12652Chill3Steelers1LSommaire du match
78 - 2025-10-14667Spirit2Steelers1LSommaire du match
80 - 2025-10-16676Steelers1Invaders3LSommaire du match
82 - 2025-10-18696Force2Steelers3WSommaire du match
85 - 2025-10-21715Steelers7Nighthawks4WSommaire du match
87 - 2025-10-23739Steelers2Aviators1WSommaire du match
89 - 2025-10-25755Lions5Steelers2LSommaire du match
90 - 2025-10-26769Steelers4Fog1WSommaire du match
92 - 2025-10-28781Steelers6Berries4WSommaire du match
94 - 2025-10-30798Quake2Steelers3WSommaire du match
96 - 2025-11-01812Terror2Steelers4WSommaire du match
97 - 2025-11-02827Spirit3Steelers5WSommaire du match
99 - 2025-11-04839Steelers-Force-
100 - 2025-11-05849Rapids-Steelers-
102 - 2025-11-07863Islanders-Steelers-
104 - 2025-11-09884Storm-Steelers-
106 - 2025-11-11899Invaders-Steelers-
107 - 2025-11-12903Steelers-Grizzlies-
109 - 2025-11-14916Steelers-Mammoth-
111 - 2025-11-16942Aviators-Steelers-
113 - 2025-11-18957Fog-Steelers-
114 - 2025-11-19965Grizzlies-Steelers-
116 - 2025-11-21971Steelers-Storm-
118 - 2025-11-23992Steelers-Rapids-
120 - 2025-11-251012Reapers-Steelers-
121 - 2025-11-261019Steelers-Lions-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
123 - 2025-11-281033Reds-Steelers-
125 - 2025-11-301052Gators-Steelers-
127 - 2025-12-021067Steelers-Reds-
128 - 2025-12-031069Steelers-Spirit-
130 - 2025-12-051087Steelers-Berries-
132 - 2025-12-071106Firebirds-Steelers-
134 - 2025-12-091118Steelers-Berries-
135 - 2025-12-101131Berries-Steelers-
137 - 2025-12-121142Steelers-Fog-
139 - 2025-12-141155Steelers-Reds-
141 - 2025-12-161167Reds-Steelers-
144 - 2025-12-191180Steelers-Spirit-
146 - 2025-12-211203Fog-Steelers-
150 - 2025-12-251220Berries-Steelers-
152 - 2025-12-271225Spirit-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 jourCapacitéPopularité de l’équipe
16 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$ 56 980$ 54,880$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
54,880$ 0$ -54,880$



Charte de profondeur

Ailier gaucheCentreAilier droit
Nicolae Cuza (R)AGE:20PO:80OV:68
Theodor BlauAGE:16PO:94OV:64
Jeremie CundariAGE:16PO:92OV:61
Georg SikstromAGE:18PO:88OV:59
Radyyon Rahozhkin (R)AGE:20PO:77OV:73
Napoleon Findlayson (R)AGE:19PO:71OV:71
Daniel Tengvall (R)AGE:18PO:75OV:69
Andre Ortmann (R)AGE:18PO:77OV:63
Bobby Heemer (R)AGE:18PO:88OV:61
Albert Sakharusov (R)AGE:18PO:66OV:68
Travis Marker (R)AGE:18PO:74OV:67
Abram ZvolynskyAGE:16PO:86OV:65
Kurt LeggioAGE:16PO:99OV:62
Doug Liske (R)AGE:18PO:70OV:61

Défense #1Défense #2Gardien
Walter WaspeAGE:18PO:69OV:71
Alois Vimr (R)AGE:19PO:68OV:69
Matteo Bachmann (R)AGE:18PO:74OV:67
Iben Oksnes (R)AGE:18PO:68OV:67
Jindrich Kuban (R)AGE:18PO:69OV:66
Michael Rosser (R)AGE:18PO:91OV:64
Piotr Biarizkin (R)AGE:20PO:84OV:60
Kalle Actopoli (R)AGE:18PO:75OV:60
Vasily Podenok (R)AGE:19PO:58OV:70
Daniel MagnussenAGE:18PO:48OV:64
Erich Simberg (R)AGE:18PO: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
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.




Steelers Historique de transactions

[11/27/2025 6:16:40 PM] New Record for Team's Most Points (23) in 1 Game for Steelers!
[11/27/2025 6:16:40 PM] New Record for Team's Most Assists (15) in 1 Game for Steelers!
[10/27/2025 12:51:21 PM] Steelers hired Tarvo Koivanen for $150,000 for 2 year(s).
[10/27/2025 12:51:11 PM] Steelers fired Tomek Roppo.



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 Goupil39616116332469380934542139311.56%147757919.1441408111135822321743.02%30.85418
2Radyyon Rahozhkin4411181903087920883199081314.51%261821218.62266288681232118855.43%10.75211
3Jason Krouse30010815125974542236294811.39%147573319.112253758637101722250.15%30.90622
4Sampson Rushton318111104215156868456196711.48%160605119.03192847415492724543.64%20.71926
5Waldemar Janne200851212062511860639561513.82%123434721.74123446442021591138.80%20.95318

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 Podenok1125939110.9182.4965624227233171793230.69623
3Leon Campaner804523100.9222.3147470118323561094310.65020
4Daniel Magnussen3116740.9202.4417190170875479200.60010
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
553292101200165141242512110110071710281710001009470246216528344801297263116795055915812166360222812891143934.21%1143668.42%2522105349.57%550109750.14%42876955.66%110660710784911004497
Total Saison régulière45518116204234162013011244572261027802489568360281229798401826715618642-24532130121323433952414615417613340384546784654284141024619353610662109230127.56%109332869.99%214420876650.42%4507904449.83%3402635853.51%937750759551429586704326
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