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DETROIT STEELERS
GP: 11 | W: 5 | L: 4 | OTL: 2 | P: 12
GF: 32 | GA: 36 | PP%: 4.00% | PK%: 81.25%
DG: Jay W | Morale : 78 | Moyenne d’équipe : 64
Prochains matchs #133 vs PHILADELPHIA PHANTOMS

Centre de jeu
DETROIT STEELERS
5-4-2, 12pts
3
2 PENSACOLA BLACK BEARS
5-5-1, 11pts
Team Stats
W4SéquenceL1
2-3-1Fiche domicile1-4-0
3-1-1Fiche domicile4-1-1
5-3-2Derniers 10 matchs5-4-1
2.91Buts par match 3.55
3.27Buts contre par match 3.45
4.00%Pourcentage en avantage numérique11.54%
81.25%Pourcentage en désavantage numérique81.82%
LAS CRUCES MESCALEROS
7-2-3, 17pts
2
3 DETROIT STEELERS
5-4-2, 12pts
Team Stats
W1SéquenceW4
4-1-0Fiche domicile2-3-1
3-1-3Fiche domicile3-1-1
6-2-2Derniers 10 matchs5-3-2
3.67Buts par match 2.91
3.08Buts contre par match 3.27
20.00%Pourcentage en avantage numérique4.00%
96.67%Pourcentage en désavantage numérique81.25%
PHILADELPHIA PHANTOMS
7-4-0, 14pts
Jour 21
DETROIT STEELERS
5-4-2, 12pts
Statistiques d’équipe
W1SéquenceW4
4-2-0Fiche domicile2-3-1
3-2-0Fiche visiteur3-1-1
7-3-010 derniers matchs5-3-2
4.18Buts par match 2.91
2.64Buts contre par match 2.91
18.52%Pourcentage en avantage numérique4.00%
84.62%Pourcentage en désavantage numérique81.25%
DETROIT STEELERS
5-4-2, 12pts
Jour 23
PHILADELPHIA PHANTOMS
7-4-0, 14pts
Statistiques d’équipe
W4SéquenceW1
2-3-1Fiche domicile4-2-0
3-1-1Fiche visiteur3-2-0
5-3-210 derniers matchs7-3-0
2.91Buts par match 4.18
3.27Buts contre par match 4.18
4.00%Pourcentage en avantage numérique18.52%
81.25%Pourcentage en désavantage numérique84.62%
DETROIT STEELERS
5-4-2, 12pts
Jour 25
PENSACOLA BLACK BEARS
5-5-1, 11pts
Statistiques d’équipe
W4SéquenceL1
2-3-1Fiche domicile1-4-0
3-1-1Fiche visiteur4-1-1
5-3-210 derniers matchs5-4-1
2.91Buts par match 3.55
3.27Buts contre par match 3.55
4.00%Pourcentage en avantage numérique11.54%
81.25%Pourcentage en désavantage numérique81.82%
Meneurs d'équipe
Buts
Philip Tomasino
9
Passes
Ian McCoshen
8
Points
Philip Tomasino
15
Plus/Moins
Ian McCoshen
4
Victoires
Felix Sandstrom
4
Pourcentage d’arrêts
Felix Sandstrom
0.919

Statistiques d’équipe
Buts pour
32
2.91 GFG
Tirs pour
361
32.82 Avg
Pourcentage en avantage numérique
4.0%
1 GF
Début de zone offensive
39.0%
Buts contre
36
3.27 GAA
Tirs contre
323
29.36 Avg
Pourcentage en désavantage numérique
81.3%%
3 GA
Début de la zone défensive
35.3%
Informations de l'équipe

Directeur généralJay W
EntraîneurLindy Ruff
DivisionAdams
ConférenceNeid Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,712
Billets de saison750


Informations de la formation

Équipe Pro35
Équipe Mineure20
Limite Contrat55 / 66
Espoirs0


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
1Philip Tomasino (R)XX100.00101988498908486588479666592900807612551,000,000$
2Oliver Moore (R)X100.0015493867381797875806876598476080721211900,000$
3Kieffer BellowsX100.006853436077978375587376666989770807012821,100,000$
4Alexander VolkovX100.00551674637475847830757757638675080692292907,000$
5Nicholas Robertson (R)X100.00411964767476877344646969548278080682251675,000$
6Nate Danielson (R)X100.00403583767674707467736563686476080671221900,000$
7Alex FormentonX100.0066782727591846635646658658678080672272937,500$
8Xavier Bourgault (R)XXX100.0018199727477657941577062586573080651234800,000$
9Theo Stockselius (R)X100.00614474676568676556636260486761081622193800,000$
10Jakob Ihs-Wozniak (R)X100.00231083676968706658646160566665080622193700,000$
11Marek Vanacker (R)X100.00182666707070676550626259576569080611202800,000$
12Noah Dower Nilsson (R)X100.002199687456666357656065556466080600211600,000$
13Ian McCoshenX100.004920856081837893539087755288930807523121,197,000$
14Ryan Johnson (R)X100.00784152777580658539767074507173081721255800,000$
15Egor ZamulaX100.00502192707674786744786462549175080682263775,000$
16Dylan McIlrathX100.0038199608070797352746170679999080681351951,000$
17Jakub ZborilX100.0029499637868677444726874449186080671293600,000$
18Logan Hensler (R)X100.00471589756867706844646061566062080631203900,000$
Rayé
1Conrad Fondrk (R)X100.00423962656869666466626159625963069612193600,000$
2Noel Gunler (R)XX100.0037885707268785356494864547769069592251700,000$
3Aleksi HeponiemiX100.0011997767486863586055556879700695922700$
4Tanner Howe (R)X100.00111192687069705848605760605958069582202700,000$
5Dillion Hamaliuk (R)X100.001314756874636650495650635568710695722500$
6AJ SpellacyX100.00292983696855675348575554636069066572202600,000$
7Zayde Wisdom (R)X100.00434171597758675745515055586062069562243600,000$
8Mattias Hävelid (R)X100.001199717160745544555367466270069592224800,000$
9Elias Salomonsson (R)X100.003199717369695644575364466770069592223800,000$
10Matt Robertson (R)X100.006442865978616345445046605174720695922500$
11Hoyt Stanley (R)X100.00291668647859706044646062495761069592211600,000$
12Will Skahan (R)X100.00457044676360585844605961406062069582202650,000$
13Joni Jurmo (R)X100.009183627862685244463363445968069562242600,000$
MOYENNE D’ÉQUIPE100.0033198169747072665065616356737207564
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
1Felix Sandstrom98.00606978827385879086615985620827622922,000,000$
2Patrik Hamrla (R)100.0065696780716871667064607170081682233800,000$
Rayé
1Mads Sogaard100.0069807481758279818069687466073752251650,000$
2Joel Blomqvist (R)100.0066596165686062585857645661074602241600,000$
MOYENNE D’ÉQUIPE99.506569707772747574746363726507870
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lindy Ruff71956486999939CAN6221,001,000$


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
1Philip TomasinoDETROIT STEELERS (DET)C/RW119615-20051461302514.75%726424.010113240221162151.59%314134001.1401000212
2Kieffer BellowsDETROIT STEELERS (DET)LW114610-380401224102116.67%522920.84101124101380047.62%2102000.8701000200
3Oliver MooreDETROIT STEELERS (DET)C1145930011933131912.12%421119.250001221122152061.35%16390000.8511000001
4Ian McCoshenDETROIT STEELERS (DET)D111894008293714162.70%2230127.37000229000016000%096000.6000000021
5Nate DanielsonDETROIT STEELERS (DET)C11336-120161425111912.00%414813.4700000000080036.96%4651000.8100000000
6Alexander VolkovDETROIT STEELERS (DET)RW11156-3401792615223.85%822520.5301122400016007.69%1336000.5300000010
7Xavier BourgaultDETROIT STEELERS (DET)C/LW/RW111343004142210144.55%719117.3700032200000000%123000.4200000000
8Ryan JohnsonDETROIT STEELERS (DET)D112241155421426987.69%1729126.47000329011010000%059000.2700001001
9Nicholas RobertsonDETROIT STEELERS (DET)LW112242603717269117.69%319217.48000322000000025.00%472000.4200000002
10Alex FormentonDETROIT STEELERS (DET)LW11224-120205173711.76%214012.8100000000000150.00%210000.5700000000
11Egor ZamulaDETROIT STEELERS (DET)D11112-300129100510.00%722020.06000016000112010%079000.1800000000
12Jakub ZborilDETROIT STEELERS (DET)D11022-1004176220%415213.870000000000000%006000.2600000000
13Marek VanackerDETROIT STEELERS (DET)LW11112-1004411299.09%2888.000000000001100%130000.4500000001
14Noah Dower NilssonDETROIT STEELERS (DET)LW11022100056120%1787.120000000000000%102000.5100000000
15Logan HenslerDETROIT STEELERS (DET)D11011000554120%515113.780000000004000%005000.1300000000
16Theo StockseliusDETROIT STEELERS (DET)LW4011200432000%0338.430000000000000%000000.5900000000
17Dylan McIlrathDETROIT STEELERS (DET)D11011-30021816920%1121719.78000116000011000%0511000.0900000000
18Jakob Ihs-WozniakDETROIT STEELERS (DET)C11101-1003946425.00%1857.7300000000000032.50%4000000.2400000000
19Noel GunlerDETROIT STEELERS (DET)LW/RW7000-400365440%38712.550000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne198325183-73752272233611491928.86%113331116.721231923324681145350.25%6076966000.5013001448
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
1Felix SandstromDETROIT STEELERS (DET)44000.9192.46244001012359000040100
2Mads SogaardDETROIT STEELERS (DET)71420.8753.51427002520094100.333370000
Statistiques d’équipe totales ou en moyenne115420.8923.136720035323153103110100


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 Salaire restantPlafond 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
AJ SpellacyDETROIT STEELERS (DET)RW202006-06-01USANo182 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-20FalseFalsePro & Farm600,000$523,490$60,000$52,349$No600,000$--------40,000$--------No--------
Aleksi HeponiemiDETROIT STEELERS (DET)C271999-01-09FINNo164 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Alex FormentonDETROIT STEELERS (DET)LW271999-09-13CANNo190 Lbs6 ft5NoNoN/ANoNo22024-02-27FalseFalsePro & Farm937,500$817,953$93,750$81,795$No937,500$--------40,000$--------No--------
Alexander VolkovDETROIT STEELERS (DET)RW291997-08-02RUSNo201 Lbs6 ft0NoNoN/ANoNo22026-03-27FalseFalsePro & Farm907,000$791,342$90,700$79,134$No907,000$--------40,000$--------No--------
Conrad FondrkDETROIT STEELERS (DET)C192007-06-01USAYes192 Lbs6 ft0NoNoAssign ManuallyNoNo32026-06-23FalseFalsePro & Farm600,000$523,490$60,000$52,349$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Dillion HamaliukDETROIT STEELERS (DET)LW252001-06-01CANYes196 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Dylan McIlrathDETROIT STEELERS (DET)D351991-07-26CANNo224 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm951,000$829,732$95,100$82,973$No---------------------------Lien NHL
Egor ZamulaDETROIT STEELERS (DET)D262000-03-30RUSNo189 Lbs6 ft3NoNoTrade2025-01-08NoNo32024-06-02FalseFalsePro & Farm775,000$676,174$77,500$67,617$No775,000$775,000$-------40,000$40,000$-------NoNo-------
Elias SalomonssonDETROIT STEELERS (DET)D222004-08-31SWEYes185 Lbs6 ft3NoNoN/ANoNo32026-06-06FalseFalsePro & Farm800,000$697,987$80,000$69,799$No800,000$800,000$-------40,000$40,000$-------NoNo-------
Felix SandstromDETROIT STEELERS (DET)G291997-01-12SWENo222 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm2,000,000$1,744,966$200,000$174,497$No2,000,000$--------40,000$--------No--------
Hoyt StanleyDETROIT STEELERS (DET)D212005-02-04CANYes211 Lbs6 ft4NoNoAssign ManuallyNoNo12024-08-02FalseFalsePro & Farm600,000$523,490$60,000$52,349$No---------------------------
Ian McCoshenDETROIT STEELERS (DET)D311995-08-05USANo226 Lbs6 ft5NoNoN/ANoNo22025-10-09FalseFalsePro & Farm1,197,000$1,044,362$119,700$104,436$No1,197,000$--------40,000$--------No--------
Jakob Ihs-WozniakDETROIT STEELERS (DET)C192007-02-01AUSYes185 Lbs6 ft3NoNoAssign ManuallyNoNo32026-06-21FalseFalsePro & Farm700,000$610,738$70,000$61,074$No700,000$700,000$-------40,000$40,000$-------NoNo-------
Jakub ZborilDETROIT STEELERS (DET)D291997-02-21CZENo214 Lbs6 ft4NoNoN/ANoNo32025-06-14FalseFalsePro & Farm600,000$523,490$60,000$52,349$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Joel BlomqvistDETROIT STEELERS (DET)G242002-01-10FINYes199 Lbs6 ft2NoNoN/ANoNo12024-06-19FalseFalsePro & Farm600,000$523,490$60,000$52,349$No---------------------------
Joni Jurmo DETROIT STEELERS (DET)D242002-06-01FINYes218 Lbs6 ft3NoNoN/ANoNo22024-06-09FalseFalsePro & Farm600,000$523,490$60,000$52,349$No600,000$--------40,000$--------No--------
Kieffer BellowsDETROIT STEELERS (DET)LW281998-05-10USANo216 Lbs6 ft2NoNoN/ANoNo22026-03-03FalseFalsePro & Farm1,100,000$959,732$110,000$95,973$No1,100,000$--------40,000$--------No--------
Logan HenslerDETROIT STEELERS (DET)D202006-10-14USAYes197 Lbs6 ft2NoNoAssign ManuallyNoNo32026-06-17FalseFalsePro & Farm900,000$785,235$90,000$78,523$No900,000$900,000$-------40,000$40,000$-------NoNo-------
Mads SogaardDETROIT STEELERS (DET)G252000-12-13DENNo203 Lbs6 ft7NoNoN/ANoNo1FalseFalsePro & Farm650,000$567,114$65,000$56,711$No---------------------------
Marek VanackerDETROIT STEELERS (DET)LW202006-04-12CANYes182 Lbs6 ft0NoNoTrade2026-01-05NoNo22025-07-14FalseFalsePro & Farm800,000$697,987$80,000$69,799$No800,000$--------40,000$--------No--------
Matt RobertsonDETROIT STEELERS (DET)D252001-06-01CANYes221 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Mattias HävelidDETROIT STEELERS (DET)D222004-01-01SWEYes179 Lbs5 ft11NoNoN/ANoNo42026-06-06FalseFalsePro & Farm800,000$697,987$80,000$69,799$No800,000$800,000$800,000$------40,000$40,000$40,000$------NoNoNo------
Nate DanielsonDETROIT STEELERS (DET)C222004-09-27CANYes199 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-02FalseFalsePro & Farm900,000$785,235$90,000$78,523$No---------------------------
Nicholas RobertsonDETROIT STEELERS (DET)LW252001-09-11USAYes195 Lbs6 ft1NoNoN/ANoNo12026-03-03FalseFalsePro & Farm675,000$588,926$67,500$58,893$No---------------------------
Noah Dower NilssonDETROIT STEELERS (DET)LW212005-04-25SWEYes193 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-08FalseFalsePro & Farm600,000$523,490$60,000$52,349$No---------------------------
Noel GunlerDETROIT STEELERS (DET)LW/RW252001-10-07SWEYes186 Lbs6 ft2NoNoN/ANoNo12024-06-09FalseFalsePro & Farm700,000$610,738$70,000$61,074$No---------------------------
Oliver MooreDETROIT STEELERS (DET)C212005-01-22USAYes183 Lbs6 ft2NoNoTrade2025-01-27NoNo12024-07-02FalseFalsePro & Farm900,000$785,235$90,000$78,523$No---------------------------
Patrik HamrlaDETROIT STEELERS (DET)G232003-05-21CZEYes207 Lbs6 ft4NoNoN/ANoNo32025-06-14FalseFalsePro & Farm800,000$697,987$80,000$69,799$No800,000$800,000$-------40,000$40,000$-------NoNo-------
Philip TomasinoDETROIT STEELERS (DET)C/RW252001-07-28CANYes194 Lbs6 ft2NoNoTrade2025-03-03NoNo52026-06-06FalseFalsePro & Farm1,000,000$872,483$100,000$87,248$No1,000,000$1,000,000$1,000,000$1,000,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Ryan JohnsonDETROIT STEELERS (DET)D252001-07-24USAYes190 Lbs6 ft3NoNoN/ANoNo52026-06-06FalseFalsePro & Farm800,000$697,987$80,000$69,799$No800,000$800,000$800,000$800,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Tanner HoweDETROIT STEELERS (DET)LW202005-11-28CANYes186 Lbs5 ft11NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm700,000$610,738$70,000$61,074$No700,000$--------40,000$--------No--------
Theo StockseliusDETROIT STEELERS (DET)LW192007-07-24SWEYes196 Lbs6 ft3NoNoAssign ManuallyNoNo32026-06-19FalseFalsePro & Farm800,000$697,987$80,000$69,799$No800,000$800,000$-------40,000$40,000$-------NoNo-------
Will SkahanDETROIT STEELERS (DET)D202006-06-01USAYes203 Lbs6 ft4NoNoAssign ManuallyNoNo22025-07-18FalseFalsePro & Farm650,000$567,114$65,000$56,711$No650,000$--------40,000$--------No--------
Xavier BourgaultDETROIT STEELERS (DET)C/LW/RW232002-10-22CANYes189 Lbs6 ft4NoNoN/ANoNo42025-06-14FalseFalsePro & Farm800,000$697,987$80,000$69,799$No800,000$800,000$800,000$------40,000$40,000$40,000$------NoNoNo------
Zayde Wisdom DETROIT STEELERS (DET)RW242002-07-07CANYes216 Lbs5 ft11NoNoN/ANoNo32025-06-14FalseFalsePro & Farm600,000$523,490$60,000$52,349$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3524.00198 Lbs6 ft22.11744,071$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kieffer BellowsPhilip TomasinoAlexander Volkov40122
2Nicholas RobertsonOliver MooreXavier Bourgault30122
3Noah Dower NilssonNate DanielsonAlex Formenton20122
4Marek VanackerJakob Ihs-WozniakTheo Stockselius10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian McCoshenRyan Johnson40122
2Egor ZamulaDylan McIlrath30122
3Jakub ZborilLogan Hensler20122
4Ian McCoshenRyan Johnson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kieffer BellowsPhilip TomasinoAlexander Volkov60122
2Nicholas RobertsonOliver MooreXavier Bourgault40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian McCoshenRyan Johnson60122
2Egor ZamulaDylan McIlrath40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Philip TomasinoOliver Moore60122
2Kieffer BellowsAlexander Volkov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian McCoshenRyan Johnson60122
2Egor ZamulaDylan McIlrath40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Philip Tomasino60122Ian McCoshenRyan Johnson60122
2Oliver Moore40122Egor ZamulaDylan McIlrath40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Philip TomasinoOliver Moore60122
2Kieffer BellowsAlexander Volkov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian McCoshenRyan Johnson60122
2Egor ZamulaDylan McIlrath40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kieffer BellowsPhilip TomasinoAlexander VolkovIan McCoshenRyan Johnson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kieffer BellowsPhilip TomasinoAlexander VolkovIan McCoshenRyan Johnson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Noah Dower Nilsson, Alex Formenton, Nate DanielsonNoah Dower Nilsson, Alex FormentonNate Danielson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jakub Zboril, Logan Hensler, Egor ZamulaJakub ZborilLogan Hensler, Egor Zamula
Tirs de pénalité
Philip Tomasino, Oliver Moore, Kieffer Bellows, Alexander Volkov, Nicholas Robertson
Gardien
#1 : Felix Sandstrom, #2 : Patrik Hamrla
Lignes d’attaque personnalisées en prolongation
Philip Tomasino, Oliver Moore, Kieffer Bellows, Alexander Volkov, Nicholas Robertson, Alex Formenton, Nate Danielson, Xavier Bourgault, Jakob Ihs-Wozniak, Marek Vanacker
Lignes de défense personnalisées en prolongation
Ian McCoshen, Ryan Johnson, Egor Zamula, Dylan McIlrath, Jakub Zboril


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
1BANGOR PUPPIES210000018801000000134-11100000054130.7508132100811122641331141061170251141500.00%3233.33%011923051.74%10420850.00%8215253.95%25115022595195100
2CHICAGO UNDERTAKERS31200000911-21010000045-12110000056-120.33391423008111221001331141061178281080500.00%50100.00%211923051.74%10420850.00%8215253.95%25115022595195100
3COQUITLAM EXPRESS1010000025-31010000025-30000000000000.0002460081112239133114106112856147114.29%3166.67%011923051.74%10420850.00%8215253.95%25115022595195100
4LAS CRUCES MESCALEROS20001100440100010003211000010012-130.7504480081112274133114106115425241800.00%10100.00%011923051.74%10420850.00%8215253.95%25115022595195100
5PENSACOLA BLACK BEARS32100000981211000006601100000032140.667916250081112284133114106119330851000%40100.00%011923051.74%10420850.00%8215253.95%25115022595195100
Total1144011013236-4613010011822-45310010014140120.5453251830081112236113311410611323113372272514.00%16381.25%211923051.74%10420850.00%8215253.95%25115022595195100
_Since Last GM Reset1144011013236-4613010011822-45310010014140120.5453251830081112236113311410611323113372272514.00%16381.25%211923051.74%10420850.00%8215253.95%25115022595195100
_Vs Conference1144011013236-4613010011822-45310010014140120.5453251830081112236113311410611323113372272514.00%16381.25%211923051.74%10420850.00%8215253.95%25115022595195100
_Vs Division1043011013031-1512010011617-15310010014140120.6003047770081112232213311410611295108312131800.00%13284.62%211923051.74%10420850.00%8215253.95%25115022595195100

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1112W43251833613231133722700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
114411013236
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
61310011822
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
53101001414
Derniers 10 matchs
WLOTWOTL SOWSOL
530101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2514.00%16381.25%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
13311410611811122
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
11923051.74%10420850.00%8215253.95%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
25115022595195100


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
12DETROIT STEELERS1CHICAGO UNDERTAKERS4LSommaire du match
317PENSACOLA BLACK BEARS2DETROIT STEELERS0LSommaire du match
424DETROIT STEELERS5BANGOR PUPPIES4WSommaire du match
636BANGOR PUPPIES4DETROIT STEELERS3LXXSommaire du match
847CHICAGO UNDERTAKERS5DETROIT STEELERS4LSommaire du match
1058DETROIT STEELERS1LAS CRUCES MESCALEROS2LXSommaire du match
1272COQUITLAM EXPRESS5DETROIT STEELERS2LSommaire du match
1382DETROIT STEELERS4CHICAGO UNDERTAKERS2WSommaire du match
1597PENSACOLA BLACK BEARS4DETROIT STEELERS6WSommaire du match
17109DETROIT STEELERS3PENSACOLA BLACK BEARS2WSommaire du match
18115LAS CRUCES MESCALEROS2DETROIT STEELERS3WXSommaire du match
21133PHILADELPHIA PHANTOMS-DETROIT STEELERS-
23142DETROIT STEELERS-PHILADELPHIA PHANTOMS-
25155DETROIT STEELERS-PENSACOLA BLACK BEARS-
26162BANGOR PUPPIES-DETROIT STEELERS-
27173DETROIT STEELERS-SAN JOSE AVACADOES-
29186BANGOR PUPPIES-DETROIT STEELERS-
31196DETROIT STEELERS-PINCHER CREEK WOLVERINES-
33205DETROIT STEELERS-COLORADO CUBS-
35217PENSACOLA BLACK BEARS-DETROIT STEELERS-
37227DETROIT STEELERS-BANGOR PUPPIES-
38236CHICAGO UNDERTAKERS-DETROIT STEELERS-
40251DETROIT STEELERS-PHILADELPHIA PHANTOMS-
41260DETROIT STEELERS-HALIFAX HELL-
42264BANGOR PUPPIES-DETROIT STEELERS-
44282SAN JOSE AVACADOES-DETROIT STEELERS-
46295DETROIT STEELERS-CAPE BRETON LEPRECHAUNS-
48304CAPE BRETON LEPRECHAUNS-DETROIT STEELERS-
50315DETROIT STEELERS-HAWAII PUNCH-
51326PHILADELPHIA PHANTOMS-DETROIT STEELERS-
53337DETROIT STEELERS-PENSACOLA BLACK BEARS-
55346CAPE FEAR WILDCATS-DETROIT STEELERS-
57362HAWAII PUNCH-DETROIT STEELERS-
59372DETROIT STEELERS-COQUITLAM EXPRESS-
60381PHILADELPHIA PHANTOMS-DETROIT STEELERS-
62392DETROIT STEELERS-SAN JOSE AVACADOES-
64404DETROIT STEELERS-HALIFAX HELL-
65413LAS CRUCES MESCALEROS-DETROIT STEELERS-
68428COQUITLAM EXPRESS-DETROIT STEELERS-
70439DETROIT STEELERS-COLORADO CUBS-
71447DETROIT STEELERS-PHILADELPHIA PHANTOMS-
73457EDMONTON OILERS-DETROIT STEELERS-
76472MANHATTAN SWEDES-DETROIT STEELERS-
77481DETROIT STEELERS-MANHATTAN SWEDES-
78494HALIFAX HELL-DETROIT STEELERS-
81507COQUITLAM EXPRESS-DETROIT STEELERS-
82516DETROIT STEELERS-VANCOUVER THOUSANDAIRES-
84527DETROIT STEELERS-PINCHER CREEK WOLVERINES-
85535DETROIT STEELERS-CHICAGO UNDERTAKERS-
86543CALGARY WRANGLERS-DETROIT STEELERS-
89558LAS CRUCES MESCALEROS-DETROIT STEELERS-
91574CHICAGO UNDERTAKERS-DETROIT STEELERS-
92580DETROIT STEELERS-BANGOR PUPPIES-
94594DETROIT STEELERS-CHICAGO UNDERTAKERS-
95603CALGARY WRANGLERS-DETROIT STEELERS-
97614DETROIT STEELERS-NEWTON NIGHTHAWKS-
99625CAPE FEAR WILDCATS-DETROIT STEELERS-
101639CAPE BRETON LEPRECHAUNS-DETROIT STEELERS-
103651DETROIT STEELERS-EDMONTON OILERS-
104659DETROIT STEELERS-SYRACUSE BABY BULLS-
105664DETROIT STEELERS-BROOKLYN GRINDERS-
107676VANCOUVER THOUSANDAIRES-DETROIT STEELERS-
109689DETROIT STEELERS-CALGARY WRANGLERS-
110701NORTH VAN ROCKERS-DETROIT STEELERS-
111708DETROIT STEELERS-BROOKLYN GRINDERS-
113721SYRACUSE BABY BULLS-DETROIT STEELERS-
115730DETROIT STEELERS-NEWTON NIGHTHAWKS-
116741DETROIT STEELERS-VANCOUVER THOUSANDAIRES-
117748SYRACUSE BABY BULLS-DETROIT STEELERS-
120764EDMONTON OILERS-DETROIT STEELERS-
122779COLORADO CUBS-DETROIT STEELERS-
123786DETROIT STEELERS-LAS CRUCES MESCALEROS-
126803HAWAII PUNCH-DETROIT STEELERS-
127810DETROIT STEELERS-LAS CRUCES MESCALEROS-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
129824PENSACOLA BLACK BEARS-DETROIT STEELERS-
131833DETROIT STEELERS-MANHATTAN SWEDES-
132836DETROIT STEELERS-CALGARY WRANGLERS-
135852NEWTON NIGHTHAWKS-DETROIT STEELERS-
138868PINCHER CREEK WOLVERINES-DETROIT STEELERS-
140881DETROIT STEELERS-NORTH VAN ROCKERS-
141886DETROIT STEELERS-CAPE FEAR WILDCATS-
143893EDMONTON OILERS-DETROIT STEELERS-
145905DETROIT STEELERS-NORTH VAN ROCKERS-
148922BROOKLYN GRINDERS-DETROIT STEELERS-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance10,2696,000
Assistance PCT85.58%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
36 2712 - 90.38% 74,903$449,415$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
459,724$ 2,604,250$ 2,604,250$ 1,001,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
2,604,250$ 332,082$ 32 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,696,490$ 130 24,196$ 3,145,480$




DETROIT 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

DETROIT 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

DETROIT 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

DETROIT 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

DETROIT 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