Connexion

Steel
GP: 6 | W: 2 | L: 4
GF: 16 | GA: 19 | PP%: 5.56% | PK%: 90.00%
DG: Steven Paradis | Morale : 31 | Moyenne d’équipe : 64
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Centre de jeu
National
5-6-0, 10pts
3
FINAL
4 Steel
2-4-0, 4pts
Team Stats
L1StreakL1
3-2-0Home Record2-1-0
2-4-0Away Record0-3-0
4-4-2Last 10 Games2-3-1
3.27Buts par match 2.67
3.18Buts contre par match 3.17
20.00%Pourcentage en avantage numérique5.56%
82.14%Pourcentage en désavantage numérique90.00%
Steel
2-4-0, 4pts
2
FINAL
3 National
5-6-0, 10pts
Team Stats
L1StreakL1
2-1-0Home Record3-2-0
0-3-0Away Record2-4-0
2-3-1Last 10 Games4-4-2
2.67Buts par match 3.27
3.17Buts contre par match 3.18
5.56%Pourcentage en avantage numérique20.00%
90.00%Pourcentage en désavantage numérique82.14%
Meneurs d'équipe
Buts
Cole Smith
3
Passes
Pierre-Edouard Bellemare
6
Points
Pierre-Edouard Bellemare
8
Plus/Moins
Michael Carcone
3
Victoires
Calvin Pickard
2
Pourcentage d’arrêts
Calvin Pickard
0.903

Statistiques d’équipe
Buts pour
16
2.67 GFG
Tirs pour
188
31.33 Avg
Pourcentage en avantage numérique
5.6%
1 GF
Début de zone offensive
40.0%
Buts contre
19
3.17 GAA
Tirs contre
195
32.50 Avg
Pourcentage en désavantage numérique
90.0%%
2 GA
Début de la zone défensive
43.2%
Informations de l'équipe

Directeur généralSteven Paradis
EntraîneurCory Stillman
DivisionCanada-Ouest
ConférenceCanadienne
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 60
Espoirs26


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 moyen
1Mattias Janmark25XXX100.0070428271818287657266677668767340746803231,508,008$
2Cole Smith0X100.008570746682808863546560835869723670670292772,000$
3Christian Fischer0X100.007543896683828964576562766370676683660283700,000$
4Michael Carcone0XX100.006841727063748871736773607268703684660292500,000$
5Pierre-Edouard Bellemare0X100.006740896672778163836058866183791783660402600,000$
6Alex Limoges0X100.006938936678858364686665626769703758650273700,000$
7Laurent Dauphin0X100.006339816772878365766662686468706285650302600,000$
8Tyler Pitlick0X100.0076379565807582616264606365757646856503311,500,000$
9Jack Drury0X100.006042866567848863856761666365687273640251900,000$
10Shane Wright0X100.006237926873867566706267656862669132640212900,000$
11Colin White0X100.006938936476788262745960636569707157630281500,000$
12Drake Caggiula0X100.0070387864668281626563596061717235826303121,500,000$
13Kristian Reichel0X100.006939846479828562586359606266684269630271500,000$
14Ben Meyers0XX100.006436936371828362796461606267684285630261500,000$
15Jayden Grubbe0X100.007542755684697254605255575361636727590223800,000$
16Calle Rosen0X100.006537946775858365307168645570723581670312600,000$
17Brett Kulak0X100.007139866779879064307256765173714973660312600,000$
18Marc Del Gaizo0X100.006938806570858663306658644965675876630251500,000$
19Jack St. Ivany0X100.007339846283778558306055664965675852620252601,000$
20Vincent Sevigny0X100.006939845678637655305453574563654427590243601,000$
21Luka Profaca0X100.007042745479617353305251554562644371570231500,000$
Rayé
1Riley Damiani0X100.005537846064778359635857566064665524600253500,000$
2Jaycob Megna0XS17472866296877859306952804772743064650322600,000$
MOYENNE D’ÉQUIPE100.00694285647679836257636066596869496664
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 moyen
1Calvin Pickard0100.008182777980798180798180748651696903321,008,000$
2Justus Annunen0100.00808581887978807978807964716584670251775,000$
Rayé
1Olivier Rodrigue0100.00778278707675777675777664716620650243700,000$
2Trent Miner0100.00747369747372747372747363694920630243725,000$
MOYENNE D’ÉQUIPE100.0078817678777678777678776674584866
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Cory Stillman67606361736877CAN5031,000,000$


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
1Pierre-Edouard BellemareSteel (KEL)LW6268240915277217.41%111519.29011716000050125.00%800001.3800000100
2Michael CarconeSteel (KEL)LW/RW6257320146268127.69%112120.32000616000111000.00%800001.1500000100
3Christian FischerSteel (KEL)RW6336100951251225.00%112220.430004190000180025.00%1200000.9800000001
4Cole SmithSteel (KEL)LW53252802213203815.00%211923.910001150001152153.57%2800000.8400000100
5Brett KulakSteel (KEL)D603308016105040.00%415325.59000219000016000.00%000000.3900000000
6Laurent DauphinSteel (KEL)C6123200825202105.00%111018.38011716000000053.71%17500000.5400000001
7Jaycob MegnaSteel (KEL)D6202-221512593222.22%1412420.69101615000015000.00%000000.3200100000
8Mattias JanmarkSteel (KEL)C/LW/RW2112-1002773414.29%05326.7400018000060045.45%7700000.7500000000
9Tyler PitlickSteel (KEL)C602200042010390.00%09716.18000111000000051.52%13200000.4100000000
10Luka ProfacaSteel (KEL)D5022-2401400100.00%57214.520000000004000.00%000000.5500000010
11Alex LimogesSteel (KEL)LW6101-6007213167.69%08714.5100000000030014.29%700000.2300000000
12Kristian ReichelSteel (KEL)RW6101-5009882712.50%29215.4600002000000066.67%300000.2200000000
13Marc Del GaizoSteel (KEL)D6011040844320.00%1013121.94000316000015000.00%000000.1500000000
14Jack St. IvanySteel (KEL)D6011220638230.00%512120.28000211000011000.00%000000.1600000000
15Shane WrightSteel (KEL)C6011-4006107130.00%0579.6600000000000035.71%5600000.3500000000
16Calle RosenSteel (KEL)D2000000302120.00%04924.630000700004000.00%000000.00%00000000
17Colin WhiteSteel (KEL)C5000000001000.00%061.360001000004000.00%100000.00%00000000
18Drake CaggiulaSteel (KEL)LW6000000102110.00%0162.7000000000000050.00%200000.00%00000000
19Ben MeyersSteel (KEL)C/LW6000000014030.00%0111.910000000000000.00%000000.00%00000000
20Riley DamianiSteel (KEL)C4000000010000.00%061.7500000000060036.36%1100000.00%00000000
21Jack DrurySteel (KEL)C6000000332230.00%0274.5700000000000044.74%3800000.00%00000000
22Vincent SevignySteel (KEL)D5000-220731010.00%56813.600000000004000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne118162945-10555160141188481138.51%51176814.981234117700021452246.95%55800000.5100100312
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
1Calvin PickardSteel (KEL)62310.9033.1736000191950000.00%060010
Statistiques d’équipe totales ou en moyenne62310.9033.173600019195000060010


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alex LimogesSteel (KEL)LW271997-09-16No201 Lbs6 ft1NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$Lien
Ben MeyersSteel (KEL)C/LW261998-11-15No194 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLien
Brett KulakSteel (KEL)D311994-01-06No192 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No600,000$Lien
Calle RosenSteel (KEL)D311994-02-02No188 Lbs6 ft1NoNoNo2Pro & Farm600,000$0$0$No600,000$Lien
Calvin PickardSteel (KEL)G331992-04-15No206 Lbs6 ft1NoNoNo2Pro & Farm1,008,000$0$0$No1,008,000$Lien
Christian FischerSteel (KEL)RW281997-04-15No212 Lbs6 ft2NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$Lien
Cole SmithSteel (KEL)LW291995-10-28No195 Lbs6 ft3NoNoNo2Pro & Farm772,000$0$0$No772,000$Lien
Colin WhiteSteel (KEL)C281997-01-30No194 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Drake CaggiulaSteel (KEL)LW311994-06-20No176 Lbs5 ft10NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
Jack DrurySteel (KEL)C252000-02-03No174 Lbs5 ft11NoNoNo1Pro & Farm900,000$0$0$NoLien
Jack St. IvanySteel (KEL)D251999-07-22No198 Lbs6 ft3NoNoNo2Pro & Farm601,000$0$0$No601,000$Lien
Jaycob MegnaSteel (KEL)D321992-12-10No220 Lbs6 ft6NoNoNo2Pro & Farm600,000$0$0$No600,000$Lien
Jayden GrubbeSteel (KEL)C222003-01-12No201 Lbs6 ft3NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien
Justus AnnunenSteel (KEL)G252000-03-11No210 Lbs6 ft4NoNoNo1Pro & Farm775,000$0$0$NoLien
Kristian ReichelSteel (KEL)RW271998-06-11No192 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Laurent DauphinSteel (KEL)C301995-03-27No186 Lbs6 ft0NoNoNo2Pro & Farm600,000$0$0$No600,000$Lien
Luka ProfacaSteel (KEL)D232002-03-30No195 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Marc Del GaizoSteel (KEL)D251999-10-11No188 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLien
Mattias JanmarkSteel (KEL)C/LW/RW321992-12-08No205 Lbs6 ft2NoNoNo3Pro & Farm1,508,008$0$0$No1,508,008$1,508,008$Lien
Michael CarconeSteel (KEL)LW/RW291996-05-19No170 Lbs5 ft9NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Olivier RodrigueSteel (KEL)G242000-07-06No158 Lbs6 ft1NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$Lien
Pierre-Edouard BellemareSteel (KEL)LW401985-03-06No198 Lbs5 ft11NoNoNo2Pro & Farm600,000$0$0$No600,000$Lien
Riley DamianiSteel (KEL)C252000-03-20No170 Lbs5 ft10NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Shane WrightSteel (KEL)C212004-01-05No192 Lbs6 ft0NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Trent MinerSteel (KEL)G242001-02-05No185 Lbs6 ft1NoNoNo3Pro & Farm725,000$0$0$No725,000$725,000$Lien
Tyler PitlickSteel (KEL)C331991-11-01No199 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$0$0$NoLien
Vincent SevignySteel (KEL)D242001-04-14No175 Lbs6 ft3NoNoNo3Pro & Farm601,000$0$0$No601,000$601,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2727.78192 Lbs6 ft12.00747,778$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole SmithMattias JanmarkMichael Carcone40122
2Pierre-Edouard BellemareLaurent DauphinChristian Fischer30122
3Alex LimogesTyler PitlickKristian Reichel20122
4Ben MeyersJack DruryMattias Janmark10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenBrett Kulak40122
2Marc Del Gaizo30122
3Jack St. IvanyVincent Sevigny20122
4Calle RosenBrett Kulak10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole SmithMattias JanmarkMichael Carcone60122
2Pierre-Edouard BellemareLaurent DauphinChristian Fischer40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenBrett Kulak60122
2Marc Del Gaizo40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mattias JanmarkCole Smith60122
2Michael CarconeChristian Fischer40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenBrett Kulak60122
2Marc Del Gaizo40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mattias Janmark60122Calle RosenBrett Kulak60122
2Cole Smith40122Marc Del Gaizo40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mattias JanmarkCole Smith60122
2Michael CarconeChristian Fischer40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenBrett Kulak60122
2Marc Del Gaizo40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole SmithMattias JanmarkMichael CarconeCalle RosenBrett Kulak
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole SmithMattias JanmarkMichael CarconeCalle RosenBrett Kulak
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Shane Wright, Drake Caggiula, Colin WhiteShane Wright, Drake CaggiulaColin White
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack St. Ivany, Vincent Sevigny, Jack St. IvanyVincent Sevigny,
Tirs de pénalité
Mattias Janmark, Cole Smith, Michael Carcone, Christian Fischer, Pierre-Edouard Bellemare
Gardien
#1 : Calvin Pickard, #2 : Justus Annunen
Lignes d’attaque personnalisées en prolongation
Mattias Janmark, Cole Smith, Michael Carcone, Christian Fischer, Pierre-Edouard Bellemare, Laurent Dauphin, Laurent Dauphin, Alex Limoges, Tyler Pitlick, Jack Drury, Shane Wright
Lignes de défense personnalisées en prolongation
Calle Rosen, Brett Kulak, , Marc Del Gaizo, Jack St. Ivany


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
1National624000001619-33210000097230300000712-540.333162945004750188686060019551551601815.56%20290.00%09622343.05%12024149.79%469448.94%13689142468139
Total624000001619-33210000097230300000712-540.333162945004750188686060019551551601815.56%20290.00%09622343.05%12024149.79%469448.94%13689142468139
_Since Last GM Reset624000001619-33210000097230300000712-540.333162945004750188686060019551551601815.56%20290.00%09622343.05%12024149.79%469448.94%13689142468139
_Vs Conference624000001619-33210000097230300000712-540.333162945004750188686060019551551601815.56%20290.00%09622343.05%12024149.79%469448.94%13689142468139

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64L1162945188195515516000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400001619
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321000097
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000712
Derniers 10 matchs
WLOTWOTL SOWSOL
230100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1815.56%20290.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
68606004750
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
9622343.05%12024149.79%469448.94%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13689142468139


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 - 2024-10-103National3Steel2BLSommaire du match
3 - 2024-10-1211National1Steel3BWSommaire du match
5 - 2024-10-1419Steel2National5ALSommaire du match
7 - 2024-10-1627Steel3National4ALXSommaire du match
9 - 2024-10-1835National3Steel4BWSommaire du match
11 - 2024-10-2043Steel2National3ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance6,0003,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 3000 - 100.00% 123,250$369,750$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,959,001$ 1,959,001$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Steel Leaders statistiques (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

Steel 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

Steel 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

Steel Leaders statistiques (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

Steel 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