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Connexion

Force
GP: 53 | W: 27 | L: 18 | OTL: 8 | P: 62
GF: 136 | GA: 135 | PP%: 31.69% | PK%: 73.60%
DG: | Morale : 40 | Moyenne d’équipe : 66
Prochains matchs #821 vs Terror

Centre de jeu
Force
27-18-8, 62pts
2
7 Dragons
27-19-9, 63pts
Team Stats
W1SéquenceL1
13-10-6Fiche domicile14-10-5
14-8-2Fiche visiteur13-9-4
5-4-1Derniers 10 matchs3-4-3
2.57Buts par match 3.02
2.55Buts contre par match 2.85
31.69%Pourcentage en avantage numérique37.60%
73.60%Pourcentage en désavantage numérique70.49%
Force
27-18-8, 62pts
5
2 Nighthawks
29-21-5, 63pts
Team Stats
W1SéquenceL1
13-10-6Fiche domicile15-7-3
14-8-2Fiche visiteur14-14-2
5-4-1Derniers 10 matchs3-5-2
2.57Buts par match 2.80
2.55Buts contre par match 2.76
31.69%Pourcentage en avantage numérique27.64%
73.60%Pourcentage en désavantage numérique73.17%
Force
27-18-8, 62pts
2026-09-12
Terror
30-19-5, 65pts
Statistiques d’équipe
W1SéquenceW2
13-10-6Fiche domicile15-10-3
14-8-2Fiche visiteur15-9-2
5-4-110 derniers matchs6-3-1
2.57Buts par match 2.57
2.55Buts contre par match 2.57
31.69%Pourcentage en avantage numérique29.23%
73.60%Pourcentage en désavantage numérique72.64%
Steelers
26-15-10, 62pts
2026-09-14
Force
27-18-8, 62pts
Statistiques d’équipe
L2SéquenceW1
14-6-3Fiche domicile13-10-6
12-9-7Fiche visiteur14-8-2
5-4-110 derniers matchs5-4-1
2.55Buts par match 2.57
2.43Buts contre par match 2.57
26.36%Pourcentage en avantage numérique31.69%
68.87%Pourcentage en désavantage numérique73.60%
Force
27-18-8, 62pts
2026-09-15
Mammoth
27-21-4, 58pts
Statistiques d’équipe
W1SéquenceL1
13-10-6Fiche domicile13-8-2
14-8-2Fiche visiteur14-13-2
5-4-110 derniers matchs4-5-1
2.57Buts par match 2.75
2.55Buts contre par match 2.75
31.69%Pourcentage en avantage numérique29.03%
73.60%Pourcentage en désavantage numérique71.72%
Meneurs d'équipe
Buts
Marcus Gans
20
Passes
Arhippa Tahtinen
43
Points
Arhippa Tahtinen
60
Plus/Moins
Phillip Sakariassen
7
Victoires
Gerold Giesen
21
Pourcentage d’arrêts
Gerold Giesen
0.913

Statistiques d’équipe
Buts pour
136
2.57 GFG
Tirs pour
1676
31.62 Avg
Pourcentage en avantage numérique
31.7%
45 GF
Début de zone offensive
38.9%
Buts contre
135
2.55 GAA
Tirs contre
1532
28.91 Avg
Pourcentage en désavantage numérique
73.6%%
33 GA
Début de la zone défensive
37.1%
Informations de l'équipe

Directeur général
EntraîneurDempster Fritts
DivisionMid
ConférenceAmerican
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomSchells Arena
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 estimées47,386$
Compte bancaire actuel0$
Compte bancaire projeté-47,386$


Historique d'équipe

Saison actuelle27-18-8 (62PTS)
Historique305-171-72 (0.557%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)31 - 24 (0.564%)
Coupe Stanley1


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
1Lucas Elam (R)0X95.0069656565776676707567607464686072406901710$
2Pat Inglis (R)0X97.0049527474706269396966738454655075406702010$
3Tell Schlicht (R)0X100.0055635178647384535165608061605365406701910$
4Thomas Petersen0X100.0079585365776977366668658161685662406701910$
5Dalimir Krupansky (R)0X97.0063685662815686556952728273675375406701931$
6Marcus Gans0X100.0076656258527558637075756675686478406601710$
7Walt Huestis (R)0X100.0052755761616758797457805761655976406401610$
8Frank Schultz (R)0X100.0073745265756660616763547051505877406401610$
9Jekaubs Kalnajs (R)0X100.0074666071637155355772588056666395406401610$
10Eric Lohuis (R)0X100.0048655359487473606475596756737572406401610$
11Richard Apalovic0X100.0046555466656471415061657960506466406201910$
12Tilen Sirnik0X100.0053586469557160637350726061626778406201710$
13Arhippa Tahtinen0X99.0057677383648763826873804956676985407201910$
14Phillip Sakariassen0X99.0054656177787472736877608160616463407201910$
15Ruslan Marutsky (R)0X100.0079656573648164585366586173675578406701810$
16Albert Sarachev (R)0X100.0056645974575773786564655370547080406501610$
17Ripley Rugg (R)0X100.0050526762625675576065737156685978406401810$
18Codey Chvojka (R)0X100.0073735551525670746856677359545690406301610$
Rayé
MOYENNE D’ÉQUIPE99.28616460676568696065656670626361764066
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
1Gerold Giesen (R)099.006375647275687671827383708591407201810$
2Egor Rogov (R)0100.007782865869706059687075696451407001910$
Rayé
MOYENNE D’ÉQUIPE99.5070797565726968657572797075714071
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dempster Fritts39545468514552USA412125,000$


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
1Arhippa TahtinenForceD531743604406597264971126.44%48135225.5161622231080112100210%06521000.8900000433
2Marcus GansForceC50202040460941191566310812.82%1091118.2489171696000096054.29%7352617000.8800000333
3Lucas ElamForceC51122335-14240113137173471006.94%32117022.956101614990003752052.30%11762324100.6001000532
4Tell SchlichtForceRW53171633-1238011667107376815.89%28101219.104812111022023772036.92%652924000.6522000130
5Albert SarachevForceD5392332-9240626112249577.38%55114221.55810181998000087020%03522000.5600000101
6Phillip SakariassenForceD532272972007010112559671.60%75129324.40281012108000394100%03845000.4500000201
7Dalimir KrupanskyForceLW53161127014099103104236515.38%32105319.87426101000113834353.28%137521000.5101000142
8Walt HuestisForceC5312719-2120857014460668.33%1479415.00101140001293044.78%3351911000.4800000213
9Ruslan MarutskyForceD5341418-68085686718295.97%59114021.52246698011188100%01632000.3200000010
10Eric LohuisForceLW4961117510055578232627.32%1568814.0501114000002161.11%18815000.4900000220
11Thomas PetersenForceRW5361016-5240129837023498.57%2498118.520554101000081152.08%481014000.3300000221
12Pat InglisForceLW537714-1480546864184010.94%29102319.3142681010002911151.28%782621000.2712000001
13Richard ApalovicForceRW53235212064704114384.88%1673313.8300002000000060.00%15922000.1400000000
14Ripley RuggForceD53055-9201846311480%2270213.250000100004000%01317000.1400000000
15Tilen SirnikForceC5341502028395516267.27%44037.6200000000100155.06%178105000.2500000001
16Codey ChvojkaForceD53033-91406369361570%3271513.5000000000123000%0518000.0800000000
17Frank SchultzForceLW5302201405225277220%43897.35000010001160063.64%1187000.1000000000
18Denis HvizdFarm Team 13 (FRC)D9000020001000%0475.260000000001000%00000000000000
19Jekaubs KalnajsForceLW53000-16026197160%12404.5300008000010034.38%320200000000000
Statistiques d’équipe totales ou en moyenne954134226360-5924401278129916765939308.00%5001579516.564575120125103923521794251051.70%2828345338100.4636000232218
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
1Gerold GiesenForce44211760.9132.482614621081247684211.0002449233
2Egor RogovForce116120.9122.535920125283144111.0004944102
Statistiques d’équipe totales ou en moyenne55271880.9132.4932066313315308283265353335


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
Albert SarachevForceD162012-04-03RUSYes188 Lbs6 ft3NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Arhippa TahtinenForceD192009-06-10FINNo204 Lbs6 ft7NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Codey ChvojkaForceD162012-01-23CANYes195 Lbs6 ft5NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Dalimir KrupanskyForceLW192009-10-15SVKYes209 Lbs6 ft0NoNoFree AgentNoNo32025-02-20FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Egor RogovForceG192009-12-14BLRYes198 Lbs6 ft2NoNoAssign ManuallyNoNo12025-02-25FalseFalsePro & Farm0$0$No---------------------------
Eric LohuisForceLW162012-12-21NEDYes194 Lbs5 ft7NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Frank SchultzForceLW162012-07-03DENYes164 Lbs5 ft7NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Gerold GiesenForceG182010-10-19GERYes185 Lbs6 ft3NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Jekaubs KalnajsForceLW162012-11-05LATYes165 Lbs5 ft9NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Lucas Elam (sur la masse salariale)ForceC172011-08-25USAYes214 Lbs6 ft2NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Marcus GansForceC172011-07-30GERNo173 Lbs5 ft11NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Pat InglisForceLW202008-12-27CANYes187 Lbs0 ft7NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Phillip SakariassenForceD192009-09-30NORNo184 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Richard ApalovicForceRW192009-12-06SVKNo187 Lbs5 ft10NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Ripley RuggForceD182010-02-12USAYes195 Lbs6 ft8NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Ruslan MarutskyForceD182010-09-14RUSYes205 Lbs6 ft2NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Tell SchlichtForceRW192009-03-19GERYes187 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Thomas PetersenForceRW192009-01-07DENNo213 Lbs6 ft4NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Tilen SirnikForceC172011-11-17SLONo185 Lbs6 ft0NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Walt HuestisForceC162012-04-21CANYes232 Lbs6 ft4NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2017.70193 Lbs5 ft101.100$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
1$1$1$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pat InglisLucas ElamTell Schlicht35122
2Dalimir KrupanskyMarcus GansThomas Petersen35122
3Eric LohuisWalt HuestisRichard Apalovic20122
4Frank SchultzTilen SirnikLucas Elam10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arhippa TahtinenPhillip Sakariassen35122
2Ruslan MarutskyAlbert Sarachev35122
3Ripley RuggCodey Chvojka20122
4Arhippa TahtinenPhillip Sakariassen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pat InglisLucas ElamTell Schlicht50122
2Dalimir KrupanskyMarcus GansThomas Petersen50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arhippa TahtinenPhillip Sakariassen50122
2Ruslan MarutskyAlbert Sarachev50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lucas ElamPat Inglis50122
2Dalimir KrupanskyTell Schlicht50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arhippa TahtinenPhillip Sakariassen50122
2Ruslan MarutskyAlbert Sarachev50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lucas Elam50122Arhippa TahtinenPhillip Sakariassen50122
2Pat Inglis50122Ruslan MarutskyAlbert Sarachev50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lucas ElamPat Inglis50122
2Dalimir KrupanskyTell Schlicht50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arhippa TahtinenPhillip Sakariassen50122
2Ruslan MarutskyAlbert Sarachev50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pat InglisLucas ElamTell SchlichtArhippa TahtinenPhillip Sakariassen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pat InglisLucas ElamTell SchlichtArhippa TahtinenPhillip Sakariassen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jekaubs Kalnajs, Eric Lohuis, Walt HuestisJekaubs Kalnajs, Eric LohuisWalt Huestis
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ripley Rugg, Codey Chvojka, Ruslan MarutskyRipley RuggCodey Chvojka, Ruslan Marutsky
Tirs de pénalité
Lucas Elam, Pat Inglis, Dalimir Krupansky, Tell Schlicht, Thomas Petersen
Gardien
#1 : Gerold Giesen, #2 : Egor Rogov
Lignes d’attaque personnalisées en prolongation
Lucas Elam, Pat Inglis, Dalimir Krupansky, Tell Schlicht, Thomas Petersen, Marcus Gans, Eric Lohuis, Walt Huestis, Frank Schultz, Jekaubs Kalnajs
Lignes de défense personnalisées en prolongation
Arhippa Tahtinen, Phillip Sakariassen, Ruslan Marutsky, Albert Sarachev, Ripley Rugg


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
1Aviators11000000321000000000001100000032121.0003690011103281410025104225120.00%20100.00%0554108651.01%541103752.17%36767054.78%20101992010
2Berries21000010752100000104311100000032141.00071017002222642823132591920564250.00%10190.00%0554108651.01%541103752.17%36767054.78%422343203817
3Chill2010010025-31000010012-11010000013-210.25023500002052161817166191052400.00%50100.00%0554108651.01%541103752.17%36767054.78%391943193920
4Dragons20200000410-61010000023-11010000027-500.0004610001300712132180651310476233.33%5260.00%0554108651.01%541103752.17%36767054.78%412240183819
5Firebirds1010000026-41010000026-40000000000000.0002350002002457120231462111100.00%3166.67%0554108651.01%541103752.17%36767054.78%17720102211
6Fog11000000615110000006150000000000021.000611170004204112218026112174250.00%10100.00%0554108651.01%541103752.17%36767054.78%2112209189
7Gators2020000024-21010000012-11010000012-100.0002350002006815262705715653200.00%3166.67%0554108651.01%541103752.17%36767054.78%442338173719
8Hellcats22000000624110000002111100000041341.00061117001230551814230542310466583.33%5180.00%0554108651.01%541103752.17%36767054.78%402140193818
9Howlers210001006601000010034-11100000032130.75061016000330601426191752110513133.33%5180.00%0554108651.01%541103752.17%36767054.78%412241194019
10Invaders21000100422110000003031000010012-130.750461001112068172724037134585120.00%20100.00%0554108651.01%541103752.17%36767054.78%452436183820
11Islanders2020000037-41010000024-21010000013-200.00036900111046221410055161050600.00%5260.00%0554108651.01%541103752.17%36767054.78%402038194019
12Lions21001000862100010004311100000043141.00081523000611571233111541614614250.00%7357.14%0554108651.01%541103752.17%36767054.78%432138194321
13Mammoth3110010057-22010010026-41100000031230.5005611003110111334731010029126510220.00%6183.33%0554108651.01%541103752.17%36767054.78%623366295529
14Mariners11000000312110000003120000000000021.00036900030026713602566146233.33%30100.00%0554108651.01%541103752.17%36767054.78%1992092011
15Menace401012001316-32000020068-22010100078-140.500132336104531121533822811248249415640.00%12558.33%0554108651.01%541103752.17%36767054.78%834480387740
16Newfies22000000523110000003121100000021141.0005813001310722930130451312512150.00%6266.67%0554108651.01%541103752.17%36767054.78%422337194018
17Nighthawks22000000844110000003211100000052341.00081321000350803021290592510527457.14%5260.00%0554108651.01%541103752.17%36767054.78%442440183518
18Quake211000005501010000023-11100000032120.500581300050069163815063210527228.57%000%0554108651.01%541103752.17%36767054.78%402240193819
19Raiders11000000532110000005320000000000021.0005813000140306121203596223266.67%3166.67%0554108651.01%541103752.17%36767054.78%2011209189
20Rapids2110000035-21010000014-31100000021120.5003690021006027258049216515120.00%30100.00%0554108651.01%541103752.17%36767054.78%402141193819
21Reapers20100010910-1100000106511010000035-220.50091423004131683022155752812549555.56%6266.67%0554108651.01%541103752.17%36767054.78%442444193617
22Reds2010010024-21000010012-11010000012-110.2502350011005917261515615841200.00%4250.00%0554108651.01%541103752.17%36767054.78%371838204421
23Reign1010000002-21010000002-20000000000000.0000000000001627702713629200.00%30100.00%0554108651.01%541103752.17%36767054.78%199219189
24Spirit22000000725110000004221100000030341.000713200123207325212703714641600.00%30100.00%1554108651.01%541103752.17%36767054.78%452637183719
25Steelers10001000321000000000001000100032121.00035800101125611713684362150.00%2150.00%0554108651.01%541103752.17%36767054.78%2092082010
26Storm11000000413110000004130000000000021.000461000121033791702678213133.33%40100.00%1554108651.01%541103752.17%36767054.78%2011209188
27Terror2110000023-1110000001011010000013-220.5002350101105817251605418639300.00%3233.33%0554108651.01%541103752.17%36767054.78%402241193818
28Warhawks40201100912-32020000036-32000110066030.37591423102421137464640513735188210110.00%9366.67%0554108651.01%541103752.17%36767054.78%854885367135
Total532118048201361351291010016207475-1241180320062602620.585136226362232861417167653964647225153250025012781424531.69%1253373.60%2554108651.01%541103752.17%36767054.78%110759110775101027515
_Since Last GM Reset532118048201361351291010016207475-1241180320062602620.585136226362232861417167653964647225153250025012781424531.69%1253373.60%2554108651.01%541103752.17%36767054.78%110759110775101027515
_Vs Conference30713036107085-151637014103546-111446022003539-4280.4677011518522163119493430035526320887295132727822530.49%662168.18%0554108651.01%541103752.17%36767054.78%628335613288579292
_Vs Division1325024002938-9713003001220-8612021001718-1120.4622946752191172427149156109134031306028038923.68%301163.33%0554108651.01%541103752.17%36767054.78%272149272123243124

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5362W113622636216761532500250127823
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5321184820136135
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
29101016207475
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2411832006260
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1424531.69%1253373.60%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
539646472252861417
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
554108651.01%541103752.17%36767054.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
110759110775101027515


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 - 2026-06-086Quake3Force2LSommaire du match
2 - 2026-06-0920Storm1Force4WSommaire du match
4 - 2026-06-1136Reign2Force0LSommaire du match
6 - 2026-06-1355Terror0Force1WSommaire du match
8 - 2026-06-1565Force1Islanders3LSommaire du match
9 - 2026-06-1683Force4Lions3WSommaire du match
11 - 2026-06-1894Force1Chill3LSommaire du match
13 - 2026-06-20119Force1Reds2LSommaire du match
15 - 2026-06-22130Firebirds6Force2LSommaire du match
17 - 2026-06-24148Raiders3Force5WSommaire du match
19 - 2026-06-26163Force3Reapers5LSommaire du match
20 - 2026-06-27172Force3Mammoth1WSommaire du match
22 - 2026-06-29189Mammoth4Force1LSommaire du match
23 - 2026-06-30201Lions3Force4WXSommaire du match
25 - 2026-07-02215Reds2Force1LXSommaire du match
27 - 2026-07-04230Menace4Force3LXSommaire du match
29 - 2026-07-06250Nighthawks2Force3WSommaire du match
31 - 2026-07-08264Force3Quake2WSommaire du match
33 - 2026-07-10283Force4Hellcats1WSommaire du match
34 - 2026-07-11291Warhawks4Force2LSommaire du match
36 - 2026-07-13307Force3Warhawks4LXSommaire du match
40 - 2026-07-17341Force3Warhawks2WXSommaire du match
41 - 2026-07-18352Force2Menace1WXSommaire du match
43 - 2026-07-20367Mammoth2Force1LXSommaire du match
45 - 2026-07-22383Invaders0Force3WSommaire du match
47 - 2026-07-24398Force1Invaders2LXSommaire du match
48 - 2026-07-25410Force1Terror3LSommaire du match
50 - 2026-07-27424Chill2Force1LXSommaire du match
51 - 2026-07-28438Berries3Force4WXXSommaire du match
53 - 2026-07-30452Force2Rapids1WSommaire du match
55 - 2026-08-01474Force3Howlers2WSommaire du match
57 - 2026-08-03489Howlers4Force3LXSommaire du match
61 - 2026-08-07521Force3Berries2WSommaire du match
62 - 2026-08-08523Force3Spirit0WSommaire du match
64 - 2026-08-10544Gators2Force1LSommaire du match
65 - 2026-08-11553Force2Newfies1WSommaire du match
67 - 2026-08-13571Fog1Force6WSommaire du match
69 - 2026-08-15589Force3Aviators2WSommaire du match
71 - 2026-08-17607Dragons3Force2LSommaire du match
73 - 2026-08-19623Force1Gators2LSommaire du match
75 - 2026-08-21635Reapers5Force6WXXSommaire du match
76 - 2026-08-22644Spirit2Force4WSommaire du match
78 - 2026-08-24659Warhawks2Force1LSommaire du match
80 - 2026-08-26679Newfies1Force3WSommaire du match
82 - 2026-08-28696Force3Steelers2WXSommaire du match
83 - 2026-08-29704Hellcats1Force2WSommaire du match
85 - 2026-08-31721Islanders4Force2LSommaire du match
87 - 2026-09-02737Mariners1Force3WSommaire du match
89 - 2026-09-04753Rapids4Force1LSommaire du match
90 - 2026-09-05764Menace4Force3LXSommaire du match
92 - 2026-09-07775Force5Menace7LSommaire du match
93 - 2026-09-08786Force2Dragons7LSommaire du match
95 - 2026-09-10799Force5Nighthawks2WSommaire du match
97 - 2026-09-12821Force-Terror-
99 - 2026-09-14839Steelers-Force-
100 - 2026-09-15844Force-Mammoth-
102 - 2026-09-17862Force-Fog-
104 - 2026-09-19875Grizzlies-Force-
106 - 2026-09-21896Force-Reign-
107 - 2026-09-22900Force-Storm-
109 - 2026-09-24915Force-Mariners-
111 - 2026-09-26936Terror-Force-
113 - 2026-09-28949Force-Menace-
115 - 2026-09-30967Aviators-Force-
117 - 2026-10-02980Force-Mammoth-
118 - 2026-10-03994Force-Mammoth-
121 - 2026-10-061014Force-Raiders-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
123 - 2026-10-081029Mammoth-Force-
125 - 2026-10-101044Force-Warhawks-
127 - 2026-10-121058Force-Grizzlies-
129 - 2026-10-141078Terror-Force-
131 - 2026-10-161089Warhawks-Force-
132 - 2026-10-171099Menace-Force-
134 - 2026-10-191112Force-Firebirds-
135 - 2026-10-201126Force-Terror-
137 - 2026-10-221137Warhawks-Force-
139 - 2026-10-241150Mammoth-Force-
141 - 2026-10-261161Force-Menace-
142 - 2026-10-271173Force-Warhawks-
144 - 2026-10-291185Menace-Force-
146 - 2026-10-311198Terror-Force-
150 - 2026-11-041217Force-Terror-



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
12 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$ 1$ 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$ 58 817$ 47,386$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
47,386$ 0$ -47,386$



Charte de profondeur

Ailier gaucheCentreAilier droit
Pat Inglis (R)AGE:20PO:75OV:67
Dalimir Krupansky (R)AGE:19PO:75OV:67
Jekaubs Kalnajs (R)AGE:16PO:95OV:64
Frank Schultz (R)AGE:16PO:77OV:64
Eric Lohuis (R)AGE:16PO:72OV:64
Lucas Elam (R)AGE:17PO:72OV:69
Marcus GansAGE:17PO:78OV:66
Walt Huestis (R)AGE:16PO:76OV:64
Tilen SirnikAGE:17PO:78OV:62
Frank Elvin (R)AGE:17PO:77OV:58
Tell Schlicht (R)AGE:19PO:65OV:67
Thomas PetersenAGE:19PO:62OV:67
Richard ApalovicAGE:19PO:66OV:62
Roberts Dumins (R)AGE:18PO:87OV:59

Défense #1Défense #2Gardien
Arhippa TahtinenAGE:19PO:85OV:72
Phillip SakariassenAGE:19PO:63OV:72
Ruslan Marutsky (R)AGE:18PO:78OV:67
Albert Sarachev (R)AGE:16PO:80OV:65
Ripley Rugg (R)AGE:18PO:78OV:64
Codey Chvojka (R)AGE:16PO:90OV:63
Denis Hvizd (R)AGE:18PO:80OV:60
German Nevzorov (R)AGE:17PO:66OV:59
Gerold Giesen (R)AGE:18PO:91OV:72
Egor Rogov (R)AGE:19PO:51OV:70
Oleg UdovinAGE:17PO:78OV:63

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.


Force Historique de transactions




Pas de blessure ou de suspension.


Force 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
1Angelo Bonneau43620622643236233565918162412.68%297846419.4164641281352002053231154.32%71.02728
2Shayne Reinhart5521742264001032571157718165410.52%139794014.3924366059112626653.35%01.01518
3Jere-Matti Happo5901792153943339998581145312.32%160954116.17286088782131539951.51%00.8319
4Matus Pietor400175191366362261089671149711.69%277785619.644150911071201260271254.72%00.93324
5Jared Tallon4001082543624550111966612128.91%208904622.621862808604412261243.63%00.80527

Force 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
1Daemon Marion25014268310.9112.7614754122679759937922040.77087
2Blaine Trevisani1549050130.9172.49915082379458024711170.79759
3Gerold Giesen1266738150.9132.57730810231335832013720.84050
4Gleb Zazulenko108564480.9232.32630616024431841812040.66712
5Helgert Finke582811120.8903.593194001911736973000.60020

Force 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
1803527053642582233540151502242128120840201203122130103279925842768541591038518257077896878776243882642820671935930.57%2125872.64%4887170851.93%827157552.51%587111752.55%169994616857391474731
280332301261526122932401413054131251141140191007202136115211032614507111066948815247974284585264252484335620011904724.74%1784276.40%7799159850.00%806164648.97%573111351.48%164290017227511492745
280332301261526122932401413054131251141140191007202136115211032614507111066948815247974284585264252484335620011904724.74%1784276.40%7799159850.00%806164648.97%573111351.48%164290017227511492745
380333107423225228-340161407201110103740171700222115125-109122536959442687771112622877911818362422793279720322458032.65%2355974.89%2985188552.25%996181055.03%607115852.42%166690116707561503753
4824025046522392023741211302311114991541191202341125103221062393906293164937312262282693883846248787077520491985829.29%2205575.00%8864166451.92%892173451.44%587111852.50%169792517077841563771
5823324066103242219234117805272129993041161601431113120-710724238462620528589212832820102693895248383635420651787039.33%1806265.56%3949175554.07%826155253.22%585110452.99%177999916607611561773
6532118048201361351291010016207475-124118032006260262136226362232861417167653964647225153250025012781424531.69%1253373.60%2554108651.01%541103752.17%36767054.78%110759110775101027515
Total Saison régulière53722817105039272216221465157271107860272316128057248126612185023161110817741766711622269643181774036075359917280532461795557406164105511531613493133640630.39%132835173.57%3358371129451.68%56941100051.76%3879739352.47%112346165112465056101165037
Séries éliminatoires
1514000001115-430300000711-421100000440211162700254016247465415174532613015533.33%13284.62%05411546.96%6311654.31%377350.68%111611135010049
31789000005459-5844000002627-1945000002832-416548714110121225560921415621029596224630451561832.14%451273.33%024643057.21%24842158.91%14827653.62%367200380167329163
410640000034277532000001613353200000181441234629600111111133012210390153521385422821628.57%27870.37%08918847.34%12323851.68%9115558.71%2121172259719395
523167000007057131266000003839-11110100000321814327012119100162723479323329424422640237122623591830.51%612165.57%024952747.25%22645749.45%16532950.15%508283474222451221
Total Séries éliminatoires5531240000016915811281315000008790-32718900000826814621692864551041556310189461659959881176265283214321514731.13%1464370.55%0638126050.63%660123253.57%44183352.94%119966311935371075529

Force 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
1Jochen Mock50233255886129942419.54%37108121.6378152100054155.00%01.0200
2Angelo Bonneau32192443-349667715112.58%2374623.32511161600023157.87%21.1500
3Jere-Matti Happo50151934-229956013511.11%2087317.46246600032053.85%00.7800
4Arhippa Tahtinen4682331156126631117.21%4199021.54459130000200%00.6300
5Lars Rasmussen50151631623132761529.87%1793218.6546101300012145.24%00.6600

Force 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
1Gerold Giesen2517440.9142.36150100596843792000
2Daemon Marion158610.9043.2091900495122572100
3Blaine Trevisani136520.9222.6083120364632473000
4Egor Rogov20000.7894.21570041980000
5Helgert Finke30110.8923.4415700983460000