Please rotate your device to landscape mode for a better experience.
Connexion

Terror
GP: 55 | W: 30 | L: 19 | OTL: 6 | P: 66
GF: 142 | GA: 143 | PP%: 30.08% | PK%: 73.15%
DG: | Morale : 40 | Moyenne d’équipe : 66
Prochains matchs #821 vs Force

Centre de jeu
Reign
23-20-12, 58pts
3
4 Terror
30-19-6, 66pts
Team Stats
L1SéquenceOTL1
13-9-4Fiche domicile15-10-3
10-11-8Fiche visiteur15-9-3
4-3-3Derniers 10 matchs6-3-1
2.71Buts par match 2.58
2.89Buts contre par match 2.60
35.00%Pourcentage en avantage numérique30.08%
72.22%Pourcentage en désavantage numérique73.15%
Terror
30-19-6, 66pts
3
4 Steelers
27-15-10, 64pts
Team Stats
OTL1SéquenceW1
15-10-3Fiche domicile15-6-3
15-9-3Fiche visiteur12-9-7
6-3-1Derniers 10 matchs5-4-1
2.58Buts par match 2.58
2.60Buts contre par match 2.44
30.08%Pourcentage en avantage numérique25.89%
73.15%Pourcentage en désavantage numérique67.89%
Force
27-18-8, 62pts
2026-09-12
Terror
30-19-6, 66pts
Statistiques d’équipe
W1SéquenceOTL1
13-10-6Fiche domicile15-10-3
14-8-2Fiche visiteur15-9-3
5-4-110 derniers matchs6-3-1
2.57Buts par match 2.58
2.55Buts contre par match 2.58
31.69%Pourcentage en avantage numérique30.08%
73.60%Pourcentage en désavantage numérique73.15%
Terror
30-19-6, 66pts
2026-09-14
Rapids
24-23-6, 54pts
Statistiques d’équipe
OTL1SéquenceW2
15-10-3Fiche domicile13-11-3
15-9-3Fiche visiteur11-12-3
6-3-110 derniers matchs4-4-2
2.58Buts par match 2.85
2.60Buts contre par match 2.85
30.08%Pourcentage en avantage numérique27.05%
73.15%Pourcentage en désavantage numérique68.64%
Terror
30-19-6, 66pts
2026-09-15
Lions
20-19-14, 54pts
Statistiques d’équipe
OTL1SéquenceW1
15-10-3Fiche domicile15-8-7
15-9-3Fiche visiteur5-11-7
6-3-110 derniers matchs3-3-4
2.58Buts par match 2.38
2.60Buts contre par match 2.38
30.08%Pourcentage en avantage numérique31.78%
73.15%Pourcentage en désavantage numérique67.83%
Meneurs d'équipe
Buts
Rasmus Petersen
19
Passes
Rasmus Petersen
31
Points
Rasmus Petersen
50
Plus/Moins
Rasmus Petersen
6
Victoires
Sten-Erik Rusanen
24
Pourcentage d’arrêts
Roland Zweig
0.917

Statistiques d’équipe
Buts pour
142
2.58 GFG
Tirs pour
1513
27.51 Avg
Pourcentage en avantage numérique
30.1%
40 GF
Début de zone offensive
36.1%
Buts contre
143
2.60 GAA
Tirs contre
1608
29.24 Avg
Pourcentage en désavantage numérique
73.1%%
29 GA
Début de la zone défensive
39.2%
Informations de l'équipe

Directeur général
EntraîneurDavid Novak
DivisionMid
ConférenceAmerican
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomThe Old Barn
Capacité18,000
Assistance0
Billets de saison7,200


Informations de la formation

Équipe Pro20
Équipe Mineure5
Limite Contrat25 / 50
Espoirs0


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées46,569$
Compte bancaire actuel0$
Compte bancaire projeté-46,569$


Historique d'équipe

Saison actuelle30-19-6 (66PTS)
Historique260-225-64 (0.474%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)4 - 8 (0.333%)
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
1Rasmus Petersen (R)0X95.0071556557797866796178547677555486407001910$
2Jannis Bruvers (R)0X97.0077697058826878777963626365696892407001810$
3Dex McCarey (R)0X100.0056666071765978458377567875745281406801810$
4Mikkel Moller0X100.0047546670568171685979436962567361406602010$
5Alexei Pittner0X100.0078636475626764765565575459555374406501910$
6Frantisek Vodvarka0X99.0065597462707063616866566967606979406501910$
7Casper Marstein (R)0X99.0067614757517068587064687168586565406301810$
8Jakub Dacej (R)0X100.0056546456608062745454557071717075406201910$
9Vsevolod Brylin (R)0X100.0080514569785461595161507063675074406201710$
10Adam Klepac0X100.0030585669525677815677385775756766406201710$
11Zdeno Janocko (R)0X99.0036746360756669686780695956535986406701610$
12Gordian Schorr (R)0X100.0045597663717363715062785176526890406601710$
13Adrian Felc (R)0X100.0068646361567070757464705671615967406501810$
14Sam Bellenden0X99.0071606161676275585774655774666875406501810$
15Stefan Kumli (R)0X100.0057566376616261626561805755607381406501610$
16Rochus Randegger (R)0X100.0069367463775457577464376759517499406201610$
17Fabian Hochstrasser (R)0X100.0031617166446562635676694664494880406101910$
Rayé
1Tor-Bjorn Isopoussu (R)0X94.0078677276766589495673767861617162407201910$
MOYENNE D’ÉQUIPE99.00605964656667696663696064676163774065
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
1Sten-Erik Rusanen (R)098.006678757570777074697976807772407301810$
2Roland Zweig0100.007770705766677372626069697648406701910$
Rayé
MOYENNE D’ÉQUIPE99.0072747366687272736670737577604070
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Novak74644967714672CZE462125,000$


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
1Rasmus PetersenTerrorC541931506240122140203551149.36%39118121.89681420930004655046.92%11381525100.8518000453
2Mikkel MollerTerrorLW5518314921408391154498311.69%2899818.15510151893000050244.07%593324200.9813000342
3Jannis BruversTerrorC55181836-1914010012818561969.73%33111020.208122021940004694054.25%8942117000.6538000043
4Tor-Bjorn IsopoussuTerrorRW511614300601369876395321.05%26117222.991458880111636146.06%2412330000.5126000532
5Casper MarsteinTerrorRW5562026-17280136958727456.90%28102918.72178493000000141.30%461023000.5100000103
6Zdeno JanockoTerrorD5552126-3200421259231345.43%78139125.294591294000175200%03442000.3700000211
7Frantisek VodvarkaTerrorLW5512921-20209071112407310.71%26104118.9365111393000041244.12%342023000.4011000033
8Dex McCareyTerrorC55712192200691017921468.86%1985315.52000020001682058.13%3201317000.4525000111
9Alexei PittnerTerrorLW55116172401016112034609.17%1582014.93000050000141256.52%231524100.4100000413
10Adrian FelcTerrorD5551217-1610068746824277.35%51117321.345510992000171100%02831000.2900000020
11Adam KlepacTerrorRW5551015-84039558223586.10%1068212.41022030002160057.89%19815000.4412000012
12Stefan KumliTerrorD5551015310034495429219.26%3188816.15224234000025110%03116000.3400000001
13Sam BellendenTerrorD5501313-1628065804118160%58124222.59022197000065000%01838000.2101000000
14Vsevolod BrylinTerrorRW555712120069475216439.62%135029.1400003101261057.14%1444000.4800000011
15Gordian SchorrTerrorD372101214022473715155.41%3078721.29257363000255000%02823000.3011000000
16Jakub DacejTerrorRW55123200172215596.67%32564.6700007000030051.79%5613000.2300000000
17Rochus RandeggerTerrorD550336402641254100%3673113.2900000000014000%0317000.0800000000
18Fabian HochstrasserTerrorD55022-70071416660%84448.0900002000013000%0113000.0900000000
19Jaroslav MoravcikFarm Team 23 (TER)LW19101-50013612578.33%21377.240000000000010%120000.1500000000
20Dejan ZmucFarm Team 23 (TER)C4000200413110%0399.8100000000000054.55%110000000000000
Statistiques d’équipe totales ou en moyenne990136231367-8421201243134615135038178.99%5341648616.65406710711196611218638241050.53%2856318375400.451235000202625
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
1Sten-Erik RusanenTerror44241540.9122.512584221081231624220.774314411551
2Roland ZweigTerror156420.9172.457600031375196100.75041144300
Statistiques d’équipe totales ou en moyenne59301960.9132.49334422139160682032355555851


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
Adam KlepacTerrorRW172011-03-19SVKNo184 Lbs6 ft2NoNoAssign ManuallyNoNo12025-10-19FalseFalsePro & Farm0$0$No---------------------------
Adrian FelcTerrorD182010-04-10SVKYes198 Lbs6 ft3NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Alexei PittnerTerrorLW192009-09-15CZENo181 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-08FalseFalsePro & Farm0$0$No---------------------------
Casper MarsteinTerrorRW182010-11-17NORYes202 Lbs6 ft4NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Dex McCareyTerrorC182010-03-31USAYes184 Lbs5 ft10NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Fabian HochstrasserTerrorD192009-02-01SUIYes242 Lbs6 ft10NoNoAssign ManuallyNoNo12025-10-19FalseFalsePro & Farm0$0$No---------------------------
Frantisek VodvarkaTerrorLW192009-02-21CZENo192 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-08FalseFalsePro & Farm0$0$No---------------------------
Gordian SchorrTerrorD172011-12-06GERYes202 Lbs6 ft2NoNoAssign ManuallyNoNo12025-10-19FalseFalsePro & Farm0$0$No---------------------------
Jakub DacejTerrorRW192009-04-06SVKYes219 Lbs6 ft6NoNoAssign ManuallyNoNo12025-10-19FalseFalsePro & Farm0$0$No---------------------------
Jannis BruversTerrorC182010-06-25LATYes211 Lbs6 ft1NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Mikkel MollerTerrorLW202008-05-31DENNo174 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-19FalseFalsePro & Farm0$0$No---------------------------
Rasmus Petersen (sur la masse salariale)TerrorC192009-07-15DENYes188 Lbs5 ft11NoNoAssign ManuallyNoNo12025-03-20FalseFalsePro & Farm0$0$No---------------------------
Rochus RandeggerTerrorD162012-02-28SUIYes226 Lbs6 ft4NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Roland ZweigTerrorG192009-06-04CANNo208 Lbs6 ft8NoNoAssign ManuallyNoNo12024-07-08FalseFalsePro & Farm0$0$No---------------------------
Sam BellendenTerrorD182010-09-04USANo217 Lbs6 ft4NoNoAssign ManuallyNoNo12025-10-19FalseFalsePro & Farm0$0$No---------------------------
Stefan KumliTerrorD162012-10-10SUIYes188 Lbs5 ft10NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Sten-Erik RusanenTerrorG182010-05-19FINYes214 Lbs6 ft7NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Tor-Bjorn Isopoussu (sur la masse salariale)TerrorRW192009-03-19FINYes214 Lbs6 ft2NoNoAssign ManuallyNoNo12025-02-25FalseFalsePro & Farm0$0$No---------------------------
Vsevolod BrylinTerrorRW172011-11-10RUSYes180 Lbs5 ft11NoNoAssign ManuallyNoNo12025-10-19FalseFalsePro & Farm0$0$No---------------------------
Zdeno JanockoTerrorD162012-09-25SVKYes220 Lbs6 ft2NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2018.00202 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
1Mikkel MollerRasmus Petersen35122
2Frantisek VodvarkaJannis BruversCasper Marstein35122
3Alexei PittnerDex McCareyAdam Klepac20122
4Rasmus PetersenVsevolod Brylin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zdeno JanockoGordian Schorr35122
2Sam BellendenAdrian Felc35122
3Stefan KumliRochus Randegger20122
4Fabian HochstrasserZdeno Janocko10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikkel MollerRasmus Petersen50122
2Frantisek VodvarkaJannis BruversCasper Marstein50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zdeno JanockoGordian Schorr50122
2Sam BellendenAdrian Felc50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rasmus Petersen50122
2Jannis BruversDex McCarey50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zdeno JanockoGordian Schorr50122
2Sam BellendenAdrian Felc50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Zdeno JanockoGordian Schorr50122
2Rasmus Petersen50122Sam BellendenAdrian Felc50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rasmus Petersen50122
2Jannis BruversDex McCarey50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zdeno JanockoGordian Schorr50122
2Sam BellendenAdrian Felc50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikkel MollerRasmus PetersenZdeno JanockoGordian Schorr
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikkel MollerRasmus PetersenZdeno JanockoGordian Schorr
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jakub Dacej, Alexei Pittner, Adam KlepacJakub Dacej, Alexei PittnerAdam Klepac
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Stefan Kumli, Rochus Randegger, Fabian HochstrasserStefan KumliRochus Randegger, Fabian Hochstrasser
Tirs de pénalité
, Rasmus Petersen, Jannis Bruvers, Dex McCarey, Mikkel Moller
Gardien
#1 : Sten-Erik Rusanen, #2 : Roland Zweig
Lignes d’attaque personnalisées en prolongation
, Rasmus Petersen, Jannis Bruvers, Dex McCarey, Mikkel Moller, Frantisek Vodvarka, Alexei Pittner, Casper Marstein, Adam Klepac, Vsevolod Brylin
Lignes de défense personnalisées en prolongation
Zdeno Janocko, Gordian Schorr, Sam Bellenden, Adrian Felc, Stefan Kumli


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
1Aviators2020000039-61010000014-31010000025-300.00033600012049191317069228446116.67%4325.00%0539101753.00%576110552.13%32869547.19%392042183819
2Berries21000001440110000002111000000123-130.750471100121364222516950218464125.00%40100.00%0539101753.00%576110552.13%32869547.19%422442203919
3Chill1010000005-5000000000001010000005-500.00000000000025910603010422100.00%2150.00%0539101753.00%576110552.13%32869547.19%1992091910
4Dragons21001000862110000004311000100043141.000814220003416592926169241231100.00%6266.67%0539101753.00%576110552.13%32869547.19%371944193918
5Firebirds2020000026-41010000013-21010000013-200.0002241011006120338043146473133.33%3233.33%0539101753.00%576110552.13%32869547.19%412137194119
6Fog22000000963110000006421100000032141.00091827001530631230210581764512325.00%3233.33%0539101753.00%576110552.13%32869547.19%442337183821
7Force21100000321110000003121010000001-120.50036900111054171423058176593266.67%30100.00%0539101753.00%576110552.13%32869547.19%412140183819
8Gators11000000532110000005320000000000021.00057120022103310158023116245240.00%3166.67%0539101753.00%576110552.13%32869547.19%20101991911
9Grizzlies20001010862100010004311000001043141.000812200002424171615662174386350.00%20100.00%0539101753.00%576110552.13%32869547.19%381642204523
10Hellcats2020000036-31010000024-21010000012-100.0003361001203713159053216412150.00%3166.67%0539101753.00%576110552.13%32869547.19%351642194121
11Howlers10000010211100000102110000000000021.00022400100324312962813412000%20100.00%0539101753.00%576110552.13%32869547.19%18824102110
12Invaders211000006601010000013-21100000053220.500610160013204892316056246389222.22%3166.67%0539101753.00%576110552.13%32869547.19%392039194020
13Islanders1010000048-41010000048-40000000000000.0004610000220359141203612429100.00%2150.00%1539101753.00%576110552.13%32869547.19%2213197189
14Lions10000010211100000102110000000000021.0002240001023212266197425100.00%20100.00%0539101753.00%576110552.13%32869547.19%221118102412
15Mammoth41200010761211000003212010001044040.5007121900123194282242512137108712325.00%50100.00%0539101753.00%576110552.13%32869547.19%793783398242
16Mariners21001000752100010005411100000021141.00071118000421531325141671912405120.00%6266.67%0539101753.00%576110552.13%32869547.19%392144183619
17Menace41100101810-22000010157-22110000033040.50081220002420105284135513644228412216.67%11372.73%0539101753.00%576110552.13%32869547.19%794087387841
18Newfies22000000606110000002021100000040441.000611170210505552030034102515120.00%10100.00%0539101753.00%576110552.13%32869547.19%392035194422
19Nighthawks2010100057-21010000014-31000100043120.50059140021116262529257278406116.67%4250.00%0539101753.00%576110552.13%32869547.19%402344193517
20Quake2010010024-21000010012-11010000012-110.250246001100491413157611910513133.33%6183.33%0539101753.00%576110552.13%32869547.19%402043194021
21Raiders10000010431000000000001000001043121.000461000021131811116511642711100.00%20100.00%0539101753.00%576110552.13%32869547.19%2011259199
22Rapids11000000532110000005320000000000021.00051015001220331010130401122222100.00%10100.00%0539101753.00%576110552.13%32869547.19%1910208209
23Reapers21000100770110000005411000010023-130.7507101700331053112417153176375120.00%30100.00%0539101753.00%576110552.13%32869547.19%381942204021
24Reds11000000312000000000001100000031221.000369001200281115202784242150.00%20100.00%0539101753.00%576110552.13%32869547.19%18819102110
25Reign21000010642100000104311100000021141.000681400212147231212249128565120.00%4175.00%0539101753.00%576110552.13%32869547.19%391842204322
26Spirit11000000211000000000001100000021121.00023500002028713801756312150.00%30100.00%0539101753.00%576110552.13%32869547.19%2313179199
27Steelers21000100651110000003121000010034-130.7506101600042069103029061208514250.00%40100.00%0539101753.00%576110552.13%32869547.19%422138184121
28Storm211000005411010000012-11100000042220.5005101500122057192513065204323266.67%2150.00%0539101753.00%576110552.13%32869547.19%422542183517
29Warhawks403010001014-42020000058-32010100056-120.2501017270023411183044431115392410912433.33%12558.33%0539101753.00%576110552.13%32869547.19%824380397738
Total55191905462142143-1281010022317779-227990323165641660.6001422313732225555117151338360150558160853421412431334030.08%1082973.15%1539101753.00%576110552.13%32869547.19%110757111405331102561
_Since Last GM Reset55191905462142143-1281010022317779-227990323165641660.6001422313732225555117151338360150558160853421412431334030.08%1082973.15%1539101753.00%576110552.13%32869547.19%110757111405331102561
_Vs Conference30615023316784-171647012114149-81428011202635-9260.4336710317020142622678520630625531866289118691752229.33%601673.33%1539101753.00%576110552.13%32869547.19%601302617292608312
_Vs Division1437011112832-4723001011618-2714010101214-2120.429284775006101023711031211431143013762339391128.21%31874.19%0539101753.00%576110552.13%32869547.19%281143291135276142

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5566OTL114223137315131608534214124322
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5519195462142143
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
28101022317779
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
279932316564
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1334030.08%1082973.15%1
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
3836015055825555117
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
539101753.00%576110552.13%32869547.19%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
110757111405331102561


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2026-06-088Gators3Terror5WSommaire du match
3 - 2026-06-1026Newfies0Terror2WSommaire du match
5 - 2026-06-1243Terror2Berries3LXXSommaire du match
6 - 2026-06-1355Terror0Force1LSommaire du match
8 - 2026-06-1571Mariners4Terror5WXSommaire du match
9 - 2026-06-1678Invaders3Terror1LSommaire du match
11 - 2026-06-1893Terror1Firebirds3LSommaire du match
13 - 2026-06-20111Dragons3Terror4WSommaire du match
15 - 2026-06-22132Hellcats4Terror2LSommaire du match
16 - 2026-06-23139Terror1Mammoth2LSommaire du match
18 - 2026-06-25154Steelers1Terror3WSommaire du match
20 - 2026-06-27174Terror2Reapers3LXSommaire du match
22 - 2026-06-29190Reapers4Terror5WSommaire du match
24 - 2026-07-01207Aviators4Terror1LSommaire du match
26 - 2026-07-03221Mammoth1Terror0LSommaire du match
27 - 2026-07-04237Terror3Fog2WSommaire du match
29 - 2026-07-06253Terror2Reign1WSommaire du match
31 - 2026-07-08266Lions1Terror2WXXSommaire du match
33 - 2026-07-10280Terror1Quake2LSommaire du match
34 - 2026-07-11292Menace4Terror3LXXSommaire du match
36 - 2026-07-13308Terror1Menace2LSommaire du match
37 - 2026-07-14318Terror0Chill5LSommaire du match
39 - 2026-07-16329Terror2Spirit1WSommaire du match
41 - 2026-07-18353Warhawks3Terror1LSommaire du match
43 - 2026-07-20365Terror3Warhawks2WXSommaire du match
45 - 2026-07-22384Fog4Terror6WSommaire du match
47 - 2026-07-24399Islanders8Terror4LSommaire du match
48 - 2026-07-25410Force1Terror3WSommaire du match
50 - 2026-07-27426Warhawks5Terror4LSommaire du match
52 - 2026-07-29445Terror2Aviators5LSommaire du match
54 - 2026-07-31456Terror4Storm2WSommaire du match
55 - 2026-08-01468Berries1Terror2WSommaire du match
57 - 2026-08-03482Terror4Nighthawks3WXSommaire du match
58 - 2026-08-04498Terror2Menace1WSommaire du match
60 - 2026-08-06511Mammoth1Terror3WSommaire du match
62 - 2026-08-08524Terror4Newfies0WSommaire du match
64 - 2026-08-10546Firebirds3Terror1LSommaire du match
66 - 2026-08-12563Rapids3Terror5WSommaire du match
68 - 2026-08-14577Nighthawks4Terror1LSommaire du match
69 - 2026-08-15582Terror4Raiders3WXXSommaire du match
71 - 2026-08-17608Howlers1Terror2WXXSommaire du match
72 - 2026-08-18613Terror5Invaders3WSommaire du match
74 - 2026-08-20628Quake2Terror1LXSommaire du match
76 - 2026-08-22651Terror3Reds1WSommaire du match
78 - 2026-08-24661Menace3Terror2LXSommaire du match
79 - 2026-08-25670Terror4Dragons3WXSommaire du match
81 - 2026-08-27683Terror2Mariners1WSommaire du match
83 - 2026-08-29705Grizzlies3Terror4WXSommaire du match
85 - 2026-08-31717Terror4Grizzlies3WXXSommaire du match
86 - 2026-09-01730Terror1Hellcats2LSommaire du match
88 - 2026-09-03744Storm2Terror1LSommaire du match
90 - 2026-09-05763Terror2Warhawks4LSommaire du match
92 - 2026-09-07776Terror3Mammoth2WXXSommaire du match
93 - 2026-09-08790Reign3Terror4WXXSommaire du match
96 - 2026-09-11812Terror3Steelers4LXSommaire du match
97 - 2026-09-12821Force-Terror-
99 - 2026-09-14836Terror-Rapids-
100 - 2026-09-15846Terror-Lions-
102 - 2026-09-17860Raiders-Terror-
106 - 2026-09-21891Reds-Terror-
110 - 2026-09-25924Terror-Menace-
111 - 2026-09-26936Terror-Force-
113 - 2026-09-28951Warhawks-Terror-
114 - 2026-09-29962Terror-Gators-
116 - 2026-10-01974Terror-Islanders-
118 - 2026-10-03995Chill-Terror-
120 - 2026-10-051005Spirit-Terror-
122 - 2026-10-071025Menace-Terror-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
125 - 2026-10-101049Terror-Howlers-
127 - 2026-10-121060Terror-Warhawks-
129 - 2026-10-141078Terror-Force-
131 - 2026-10-161090Menace-Terror-
132 - 2026-10-171100Mammoth-Terror-
134 - 2026-10-191113Terror-Warhawks-
135 - 2026-10-201126Force-Terror-
139 - 2026-10-241151Warhawks-Terror-
141 - 2026-10-261162Terror-Mammoth-
142 - 2026-10-271174Terror-Mammoth-
146 - 2026-10-311198Terror-Force-
148 - 2026-11-021209Mammoth-Terror-
150 - 2026-11-041217Force-Terror-
152 - 2026-11-061223Terror-Menace-



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

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
13 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$ 125,000$0$ 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$ 57 817$ 46,569$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
46,569$ 0$ -46,569$



Charte de profondeur

Ailier gaucheCentreAilier droit
Mikkel MollerAGE:20PO:61OV:66
Frantisek VodvarkaAGE:19PO:79OV:65
Alexei PittnerAGE:19PO:74OV:65
Jaroslav MoravcikAGE:17PO:83OV:60
Jannis Bruvers (R)AGE:18PO:92OV:70
Rasmus Petersen (R)AGE:19PO:86OV:70
Dex McCarey (R)AGE:18PO:81OV:68
Dejan Zmuc (R)AGE:18PO:75OV:60
Claudio Pukema (R)AGE:19PO:68OV:60
Tor-Bjorn Isopoussu (R)AGE:19PO:62OV:72
Casper Marstein (R)AGE:18PO:65OV:63
Jakub Dacej (R)AGE:19PO:75OV:62
Vsevolod Brylin (R)AGE:17PO:74OV:62
Adam KlepacAGE:17PO:66OV:62

Défense #1Défense #2Gardien
Zdeno Janocko (R)AGE:16PO:86OV:67
Gordian Schorr (R)AGE:17PO:90OV:66
Stefan Kumli (R)AGE:16PO:81OV:65
Sam BellendenAGE:18PO:75OV:65
Adrian Felc (R)AGE:18PO:67OV:65
Rochus Randegger (R)AGE:16PO:99OV:62
Fabian Hochstrasser (R)AGE:19PO:80OV:61
Horst Treitinger (R)AGE:18PO:91OV:59
Sten-Erik Rusanen (R)AGE:18PO:72OV:73
Roland ZweigAGE:19PO:48OV:67
Georg Havela (R)AGE:19PO:53OV:66

Espoirs

Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien

Choix au repêchage

Année R1R2R3R4R5
7
8
9
10
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Terror Historique de transactions




Tor-Bjorn Isopoussu est dehors pour 1 jours à cause de Exhaustion.



Terror 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
1Rylan Poirier522189179368-111168379506155412.16%168976118.7068541221853031631734.15%10.7538
2Silvan Haslebacher355181184365-36134766746138913.03%153788722.22525410611100014331253.53%50.93836
3Sebastian Dalziel458121173294-61107976856102311.83%212923820.171444587256112625344.99%40.641438
4Vasily Sidorenko477104176280-103289110376014267.29%235931619.5329578610964102611339.38%00.601318
5Darian Goebel389114154268-220436613102711.10%228732218.823641771070008162048.22%00.73424

Terror 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
1Cooper Rooke261117116200.9062.851537784729774746871600.75048
2Sten-Erik Rusanen1869073210.9132.60109516547554802864780.78255
3Luka Decarie1425961150.9022.9781112240141032084640.63441
4Karl Pyy79412990.9222.3647902118824141488250.87841
5Roland Zweig49191630.9092.862436201161278676410.6679

Terror 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
1802629066103191198-7401710032621028517409190344189113-24931912944855132756818220261981572582244383525019191964020.41%1254564.00%1776149152.05%670136549.08%529102451.66%169894316707501512767
280243708542195235-404010240312087123-3640141305422108112-4791953095041145706816223269376874844244483529218921954523.08%1454668.28%2710148747.75%735149149.30%540108749.68%169093516517351512772
280243708542195235-404010240312087123-3640141305422108112-4791953095041145706816223269376874844244483529218921954523.08%1454668.28%2710148747.75%735149149.30%540108749.68%169093516517351512772
3802038012523217251-34408180732299120-2140122005201118131-137621735256902348089182360696810815582506868234719062275725.11%2366771.61%7833168249.52%853177648.03%563116448.37%165689416847711518759
48232320510302242213411815023301181061241141703700106115-9902243735974130949210260375091191441245080358720822085425.96%2046568.14%5849174248.74%776157949.15%540110348.96%1809103316417611505746
582333306532210219-941151604321118119-14118170221192100-8912103425524233848411238962484090141259289637020571946734.54%1865570.43%3800160649.81%858173049.60%493110944.45%168191017127811571774
655191905462142143-1281010022317779-227990323165641661422313732225555117151338360150558160853421412431334030.08%1082973.15%1539101753.00%576110552.13%32869547.19%110757111405331102561
Total Saison régulière53917822505040321413741502-1282708811702415206688755-672699010802625128686747-61574137422103584171024452852010615531445855135356368164875606435212991134834825.82%114935369.28%2152171051249.63%52031053749.38%3533726948.60%113336226111525069102355153
Séries éliminatoires
151400000814-62020000037-43120000057-228152300232111834513211415118116700.00%9188.89%1409044.44%348141.98%225639.29%10254102469547
473400000141403120000046-242200000108261426400055402578392820169484417111218.18%21766.67%09518850.53%6512850.78%518361.45%163981286312760
Total Séries éliminatoires1248000002228-651400000713-6734000001515082241630078613751171431141310996228718211.11%30873.33%113527848.56%9920947.37%7313952.52%266153231109223108

Terror 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
1Rylan Poirier12549-106154511.11%222718.98112300001040.00%00.7900
2Rasmus Petersen7145241312119.09%212417.73112100000051.59%00.8100
3Artyom Kasutin513410610119.09%19619.32000101100050.00%00.8300
4Maxx Wilcox522404157540.00%18917.95000000000128.57%00.8900
5Kirt Legare722440612365.56%012517.97000400011083.33%00.6400

Terror 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
1Sten-Erik Rusanen73310.9172.014180014169910000
2Karl Pyy51400.9012.803000014141870000