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Connexion

Force
GP: 54 | W: 31 | L: 16 | OTL: 7 | P: 69
GF: 163 | GA: 152 | PP%: 38.89% | PK%: 64.55%
DG: | Morale : 40 | Moyenne d’équipe : 67
Prochains matchs #839 vs Steelers

Centre de jeu
Force
31-16-7, 69pts
4
6 Nighthawks
24-29-3, 51pts
Team Stats
L2SéquenceW2
20-5-4Fiche domicile11-13-2
11-11-3Fiche visiteur13-16-1
6-4-0Derniers 10 matchs7-3-0
3.02Buts par match 2.54
2.81Buts contre par match 3.05
38.89%Pourcentage en avantage numérique26.67%
64.55%Pourcentage en désavantage numérique63.85%
Force
31-16-7, 69pts
1
5 Terror
29-22-5, 63pts
Team Stats
L2SéquenceW1
20-5-4Fiche domicile15-11-3
11-11-3Fiche visiteur14-11-2
6-4-0Derniers 10 matchs6-3-1
3.02Buts par match 2.68
2.81Buts contre par match 2.64
38.89%Pourcentage en avantage numérique34.51%
64.55%Pourcentage en désavantage numérique70.77%
Steelers
30-21-2, 62pts
2025-11-04
Force
31-16-7, 69pts
Statistiques d’équipe
W5SéquenceL2
13-11-1Fiche domicile20-5-4
17-10-1Fiche visiteur11-11-3
8-2-010 derniers matchs6-4-0
3.11Buts par match 3.02
2.66Buts contre par match 3.02
34.21%Pourcentage en avantage numérique38.89%
68.42%Pourcentage en désavantage numérique64.55%
Force
31-16-7, 69pts
2025-11-05
Mammoth
23-28-3, 49pts
Statistiques d’équipe
L2SéquenceW3
20-5-4Fiche domicile9-11-3
11-11-3Fiche visiteur14-17-0
6-4-010 derniers matchs4-5-1
3.02Buts par match 2.96
2.81Buts contre par match 2.96
38.89%Pourcentage en avantage numérique21.64%
64.55%Pourcentage en désavantage numérique64.14%
Force
31-16-7, 69pts
2025-11-07
Fog
21-25-9, 51pts
Statistiques d’équipe
L2SéquenceL3
20-5-4Fiche domicile12-11-2
11-11-3Fiche visiteur9-14-7
6-4-010 derniers matchs4-6-0
3.02Buts par match 2.58
2.81Buts contre par match 2.58
38.89%Pourcentage en avantage numérique28.46%
64.55%Pourcentage en désavantage numérique69.28%
Meneurs d'équipe
Buts
Jochen Mock
34
Passes
Roy Perzchajlo
35
Points
Roy Perzchajlo
56
Plus/Moins
Olli Colley
19
Victoires
Gerold Giesen
27
Pourcentage d’arrêts
Egor Rogov
0.911

Statistiques d’équipe
Buts pour
163
3.02 GFG
Tirs pour
1933
35.80 Avg
Pourcentage en avantage numérique
38.9%
49 GF
Début de zone offensive
40.4%
Buts contre
152
2.81 GAA
Tirs contre
1607
29.76 Avg
Pourcentage en désavantage numérique
64.5%%
39 GA
Début de la zone défensive
33.9%
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 contact 25 / 50
Espoirs0


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées45,752$
Compte bancaire actuel0$
Compte bancaire projeté-45,752$


Historique d'équipe

Saison actuelle31-16-7 (69PTS)
Historique260-145-66 (0.552%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)15 - 17 (0.469%)
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
1Lars Rasmussen (R)0X100.0077555374807784667462777267545981407201810$
2Jere-Matti Happo (R)0X100.0052343862809465747986873535417378407102010$
3Lucas Elam (R)0X100.0068656464756374687465597264686075406801610$
4Roy Perzchajlo (R)0X100.0083765386718954876764335144908176406702010$
5Pat Inglis (R)0X100.0050527275716067406966748453655081406701910$
6Dalimir Krupansky (R)0X100.0064685563835584566953708473675381406701831$
7Tell Schlicht (R)0X100.0054635177637082525164597861605368406601810$
8Thomas Petersen0X100.0078585365776876356666647861685667406601810$
9Marcus Gans0X100.0075656158517357636774756475686484406501610$
10Richard Apalovic0X100.0047555367666370415061657858506471406201810$
11Tilen Sirnik0X100.0054586370567059647150706161626784406201610$
12Olli Colley0X99.0045537678788475717268826251626674407301910$
13Arhippa Tahtinen0X100.0056677282618361796871784656676989407001810$
14Phillip Sakariassen0X98.0053656176757070726875597760616466407001810$
15Ruslan Marutsky (R)0X100.0078656472627963575365576073675583406601710$
16Ripley Rugg (R)0X100.0047526662615373576064727056685984406301710$
17Denis Hvizd (R)0X100.0043616165515960686070664059505583406001710$
Rayé
1Jochen Mock (R)0X94.0084716373808673876846876579796778407301810$
MOYENNE D’ÉQUIPE99.50626060716972696366656965606462784067
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)0100.006274637073657268817281708577407001710$
2Egor Rogov (R)0100.007681855667695857666973696456406801810$
Rayé
MOYENNE D’ÉQUIPE100.0069787463706765637471777075674069
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dempster Fritts38545268514256USA402125,000$


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
1Roy PerzchajloForceC54213556-3400138921837313911.48%17102018.89919281786000052451.84%8145115001.1000000711
2Jochen MockForceLW54341448280185832528615313.49%34125423.231161724820114714453.02%1494931010.77480001041
3Lars RasmussenForceLW54202242-5200124811825311410.99%34108720.15981715861015666260.19%1033125000.7717000333
4Arhippa TahtinenForceD5473037-580437019766893.55%51123822.93310131384000375010%05317000.6000000104
5Lucas ElamForceC54132336180100120126497410.32%32103219.114111511820002693053.39%12402019000.7023000241
6Olli ColleyForceD52628341920449713249724.55%65131525.2949131186000176000%05249000.5200000112
7Phillip SakariassenForceD5432427132607110312245582.46%71130224.122571385011068100%03548000.4100000011
8Jere-Matti HappoForceLW4781523-4160783917550914.57%1273515.64000000005641046.91%812810000.6303000010
9Tell SchlichtForceRW5471623-5380875410134766.93%2294917.57145483000002035.48%622622000.4800000022
10Thomas PetersenForceRW539142322201009262154014.52%2897018.31279583000004152.08%48719000.4700000102
11Marcus GansForceC5471017-3401126610239756.86%2076214.13000010000170253.14%3031020000.4511000022
12Ripley RuggForceD543811-46027585214125.77%4083415.4610131900002100100.00%11832000.2600000010
13Richard ApalovicForceRW547310-460625951142613.73%2074113.7200001000031252.38%21315000.2700000020
14Ruslan MarutskyForceD433710-136067524920236.12%4493021.64314765000156000%0522000.2100000011
15Tilen SirnikForceC5427970033335018334.00%83766.9700000000000053.33%12026000.4800000000
16Denis HvizdForceD53167-760161524974.17%1771613.5200000000010000%0149000.2000000000
17Pat InglisForceLW5424670029333513265.71%104097.5800001000040058.82%17610000.2902000000
18Roberts DuminsFarm Team 13 (FRC)RW851660053103650.00%1718.93000000000020100.00%101001.6800000100
19German NevzorovFarm Team 13 (FRC)D14022-40017148380%718713.380000000003000%008000.2100000000
20Dalimir KrupanskyForceLW54101200341620465.00%32454.5500001000071055.56%916000.0800000000
Statistiques d’équipe totales ou en moyenne9721592694282216013721180193365711288.23%5361618016.65498012912385412321620271652.64%2969411384010.53824000262320
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 GiesenForce48271270.9072.752812201291393782200.72722486246
2Egor RogovForce104400.9112.434700019213121011.0003648120
Statistiques d’équipe totales ou en moyenne58311670.9082.71328220148160690321255454366


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
Arhippa TahtinenForceD182009-06-10FINNo204 Lbs6 ft7NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Dalimir KrupanskyForceLW182009-10-15SVKYes209 Lbs6 ft0NoNoFree AgentNoNo32025-02-20FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Denis HvizdForceD172010-07-17SVKYes204 Lbs6 ft0NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Egor RogovForceG182009-12-14BLRYes198 Lbs6 ft2NoNoAssign ManuallyNoNo12025-02-25FalseFalsePro & Farm0$0$No---------------------------
Gerold GiesenForceG172010-10-19GERYes185 Lbs6 ft3NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Jere-Matti HappoForceLW202007-04-01FINYes174 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Jochen Mock (sur la masse salariale)ForceLW182009-10-27GERYes195 Lbs6 ft8NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Lars RasmussenForceLW182009-11-05DENYes167 Lbs6 ft4NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Lucas ElamForceC162011-08-25USAYes214 Lbs6 ft2NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Marcus GansForceC162011-07-30GERNo173 Lbs5 ft11NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Olli ColleyForceD192008-12-27CANNo196 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Pat InglisForceLW192008-12-27CANYes187 Lbs0 ft7NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Phillip SakariassenForceD182009-09-30NORNo184 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Richard ApalovicForceRW182009-12-06SVKNo187 Lbs5 ft10NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Ripley RuggForceD172010-02-12USAYes195 Lbs6 ft8NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Roy PerzchajloForceC202007-11-15CANYes183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Ruslan MarutskyForceD172010-09-14RUSYes205 Lbs6 ft2NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Tell SchlichtForceRW182009-03-19GERYes187 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Thomas PetersenForceRW182009-01-07DENNo213 Lbs6 ft4NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Tilen SirnikForceC162011-11-17SLONo185 Lbs6 ft0NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2017.80192 Lbs5 ft111.100$

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
1Lucas ElamTell Schlicht35122
2Lars RasmussenRoy PerzchajloThomas Petersen35122
3Jere-Matti HappoMarcus GansRichard Apalovic20122
4Pat InglisTilen Sirnik10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli ColleyPhillip Sakariassen35122
2Arhippa TahtinenRuslan Marutsky35122
3Ripley RuggDenis Hvizd20122
4Olli ColleyPhillip Sakariassen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lucas ElamTell Schlicht50122
2Lars RasmussenRoy PerzchajloThomas Petersen50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli ColleyPhillip Sakariassen50122
2Arhippa TahtinenRuslan Marutsky50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lars Rasmussen50122
2Jere-Matti HappoLucas Elam50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli ColleyPhillip Sakariassen50122
2Arhippa TahtinenRuslan Marutsky50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Olli ColleyPhillip Sakariassen50122
2Lars Rasmussen50122Arhippa TahtinenRuslan Marutsky50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lars Rasmussen50122
2Jere-Matti HappoLucas Elam50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli ColleyPhillip Sakariassen50122
2Arhippa TahtinenRuslan Marutsky50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lucas ElamTell SchlichtOlli ColleyPhillip Sakariassen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lucas ElamTell SchlichtOlli ColleyPhillip Sakariassen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dalimir Krupansky, Pat Inglis, Marcus GansDalimir Krupansky, Pat InglisMarcus Gans
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ripley Rugg, Denis Hvizd, Arhippa TahtinenRipley RuggDenis Hvizd, Arhippa Tahtinen
Tirs de pénalité
, Lars Rasmussen, Jere-Matti Happo, Lucas Elam, Pat Inglis
Gardien
#1 : Gerold Giesen, #2 : Egor Rogov
Lignes d’attaque personnalisées en prolongation
, Lars Rasmussen, Jere-Matti Happo, Lucas Elam, Pat Inglis, Roy Perzchajlo, Dalimir Krupansky, Tell Schlicht, Thomas Petersen, Marcus Gans
Lignes de défense personnalisées en prolongation
Olli Colley, Phillip Sakariassen, Arhippa Tahtinen, Ruslan Marutsky, 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
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
1Aviators11000000321000000000001100000032121.00036900012032392002984163266.67%2150.00%0641117854.41%52399052.83%39975153.13%20101992010
2Berries22000000725110000005141100000021141.0007132000241075153030051214576233.33%2150.00%0641117854.41%52399052.83%39975153.13%412342183617
3Chill21100000853110000006241010000023-120.50081422003140712321270641414424375.00%7185.71%0641117854.41%52399052.83%39975153.13%422441183517
4Dragons210000014401000000123-11100000021130.7504610001120682519215602710555120.00%50100.00%0641117854.41%52399052.83%39975153.13%442541193818
5Firebirds1010000035-21010000035-20000000000000.00035800111030166802784323133.33%20100.00%0641117854.41%52399052.83%39975153.13%2313198168
6Fog10001000321100010003210000000000021.0003470001113761118223116243133.33%3233.33%0641117854.41%52399052.83%39975153.13%25141581910
7Gators2020000026-41010000012-11010000014-300.0002460020007431241906928864100.00%4175.00%0641117854.41%52399052.83%39975153.13%432641163517
8Hellcats21001000862100010005411100000032141.00081220000431851833304642810532150.00%5260.00%0641117854.41%52399052.83%39975153.13%442539173617
9Howlers2010100079-2100010005411010000025-320.50071421001141721324323532214524250.00%7528.57%0641117854.41%52399052.83%39975153.13%442437183818
10Invaders2020000048-41010000024-21010000024-200.0004711103100641132210519124922100.00%6266.67%0641117854.41%52399052.83%39975153.13%422538183917
11Islanders21100000770110000002111010000056-120.50071219003130732323270522445111100.00%2150.00%0641117854.41%52399052.83%39975153.13%422537184018
12Lions20000020752100000104311000001032141.0007815000324861640251461228443133.33%4175.00%0641117854.41%52399052.83%39975153.13%493040184019
13Mammoth31100100981210001007521010000023-130.50091625005130108433031410332146812433.33%70100.00%0641117854.41%52399052.83%39975153.13%704061255229
14Mariners11000000413110000004130000000000021.00046100002203071211024102254250.00%110.00%0641117854.41%52399052.83%39975153.13%21111892011
15Menace4310000016115211000008712200000084460.7501629450054701423951520121321610810440.00%8362.50%0641117854.41%52399052.83%39975153.13%905176357337
16Newfies21000010642100000103211100000032141.000691500221177154515456156494125.00%3166.67%0641117854.41%52399052.83%39975153.13%462640183819
17Nighthawks2110000089-1110000004311010000046-220.5008132100125073301924064146346233.33%3166.67%0641117854.41%52399052.83%39975153.13%422540173618
18Quake210000016511000000123-11100000042230.750691500213072212920565268394125.00%4325.00%0641117854.41%52399052.83%39975153.13%462742183518
19Raiders10001000211100010002110000000000021.00023500010126154432812033300.00%000%0641117854.41%52399052.83%39975153.13%21111992011
20Rapids220000001275110000005141100000076141.0001220320034507226271905919105012758.33%5340.00%0641117854.41%52399052.83%39975153.13%472736173518
21Reapers2010001045-1100000102111010000024-220.5004610001202722529173641610408112.50%5260.00%0641117854.41%52399052.83%39975153.13%452541193719
22Reds21000100440110000002111000010023-130.75046100003108930273025716040500.00%000%0641117854.41%52399052.83%39975153.13%452837183718
23Reign11000000211110000002110000000000021.00022400002027910802470312150.00%000%0641117854.41%52399052.83%39975153.13%20101892010
24Spirit2000010168-21000010045-11000000123-120.500671300042072213215965288553266.67%5340.00%0641117854.41%52399052.83%39975153.13%452642193718
25Steelers1010000023-1000000000001010000023-100.00024600101038137180351142511100.00%20100.00%0641117854.41%52399052.83%39975153.13%20112210178
26Storm11000000321110000003210000000000021.00035800012029841702644273266.67%20100.00%1641117854.41%52399052.83%39975153.13%19102091910
27Terror31200000611-51010000025-32110000046-220.33361117001320942340310893522923133.33%11463.64%0641117854.41%52399052.83%39975153.13%603362285628
28Warhawks421001001011-1220000006242010010049-550.625101828001630145365653012337101179333.33%5180.00%0641117854.41%52399052.83%39975153.13%864876367637
Total54231604443163152112913504232947123251011002116981-12690.6391632694321038556211193356169464358160753621813721264938.89%1103964.55%1641117854.41%52399052.83%39975153.13%119568410724941017506
_Since Last GM Reset54231604443163152112913504232947123251011002116981-12690.6391632694321038556211193356169464358160753621813721264938.89%1103964.55%1641117854.41%52399052.83%39975153.13%119568410724941017506
_Vs Conference311113012319093-3166501121504461558001104049-9330.53290151241102728317111632541436130953311140799622337.10%702170.00%0641117854.41%52399052.83%39975153.13%688397619280577285
_Vs Division147500200414107420010023194733001001822-4160.5714174115001214150489141177167443613662385341235.29%31874.19%0641117854.41%52399052.83%39975153.13%307174276125260132

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5469L216326943219331607536218137210
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5423164443163152
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2913542329471
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
25101102116981
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1264938.89%1103964.55%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
5616946435838556211
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
641117854.41%52399052.83%39975153.13%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
119568410724941017506


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2025-07-296Quake3Force2LXXSommaire du match
2 - 2025-07-3020Storm2Force3WSommaire du match
4 - 2025-08-0136Reign1Force2WSommaire du match
6 - 2025-08-0355Terror5Force2LSommaire du match
8 - 2025-08-0565Force5Islanders6LSommaire du match
9 - 2025-08-0683Force3Lions2WXXSommaire du match
11 - 2025-08-0894Force2Chill3LSommaire du match
13 - 2025-08-10119Force2Reds3LXSommaire du match
15 - 2025-08-12130Firebirds5Force3LSommaire du match
17 - 2025-08-14148Raiders1Force2WXSommaire du match
19 - 2025-08-16163Force2Reapers4LSommaire du match
20 - 2025-08-17172Force2Mammoth3LSommaire du match
22 - 2025-08-19189Mammoth1Force4WSommaire du match
23 - 2025-08-20201Lions3Force4WXXSommaire du match
25 - 2025-08-22215Reds1Force2WSommaire du match
27 - 2025-08-24230Menace2Force6WSommaire du match
29 - 2025-08-26250Nighthawks3Force4WSommaire du match
31 - 2025-08-28264Force4Quake2WSommaire du match
33 - 2025-08-30283Force3Hellcats2WSommaire du match
34 - 2025-08-31291Warhawks1Force2WSommaire du match
36 - 2025-09-02307Force0Warhawks4LSommaire du match
40 - 2025-09-06341Force4Warhawks5LXSommaire du match
41 - 2025-09-07352Force5Menace3WSommaire du match
43 - 2025-09-09367Mammoth4Force3LXSommaire du match
45 - 2025-09-11383Invaders4Force2LSommaire du match
47 - 2025-09-13398Force2Invaders4LSommaire du match
48 - 2025-09-14410Force3Terror1WSommaire du match
50 - 2025-09-16424Chill2Force6WSommaire du match
51 - 2025-09-17438Berries1Force5WSommaire du match
53 - 2025-09-19452Force7Rapids6WSommaire du match
55 - 2025-09-21474Force2Howlers5LSommaire du match
57 - 2025-09-23489Howlers4Force5WXSommaire du match
61 - 2025-09-27521Force2Berries1WSommaire du match
62 - 2025-09-28523Force2Spirit3LXXSommaire du match
64 - 2025-09-30544Gators2Force1LSommaire du match
65 - 2025-10-01553Force3Newfies2WSommaire du match
67 - 2025-10-03571Fog2Force3WXSommaire du match
69 - 2025-10-05589Force3Aviators2WSommaire du match
71 - 2025-10-07607Dragons3Force2LXXSommaire du match
73 - 2025-10-09623Force1Gators4LSommaire du match
75 - 2025-10-11635Reapers1Force2WXXSommaire du match
76 - 2025-10-12644Spirit5Force4LXSommaire du match
78 - 2025-10-14659Warhawks1Force4WSommaire du match
80 - 2025-10-16679Newfies2Force3WXXSommaire du match
82 - 2025-10-18696Force2Steelers3LSommaire du match
83 - 2025-10-19704Hellcats4Force5WXSommaire du match
85 - 2025-10-21721Islanders1Force2WSommaire du match
87 - 2025-10-23737Mariners1Force4WSommaire du match
89 - 2025-10-25753Rapids1Force5WSommaire du match
90 - 2025-10-26764Menace5Force2LSommaire du match
92 - 2025-10-28775Force3Menace1WSommaire du match
93 - 2025-10-29786Force2Dragons1WSommaire du match
95 - 2025-10-31799Force4Nighthawks6LSommaire du match
97 - 2025-11-02821Force1Terror5LSommaire du match
99 - 2025-11-04839Steelers-Force-
100 - 2025-11-05844Force-Mammoth-
102 - 2025-11-07862Force-Fog-
104 - 2025-11-09875Grizzlies-Force-
106 - 2025-11-11896Force-Reign-
107 - 2025-11-12900Force-Storm-
109 - 2025-11-14915Force-Mariners-
111 - 2025-11-16936Terror-Force-
113 - 2025-11-18949Force-Menace-
115 - 2025-11-20967Aviators-Force-
117 - 2025-11-22980Force-Mammoth-
118 - 2025-11-23994Force-Mammoth-
121 - 2025-11-261014Force-Raiders-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
123 - 2025-11-281029Mammoth-Force-
125 - 2025-11-301044Force-Warhawks-
127 - 2025-12-021058Force-Grizzlies-
129 - 2025-12-041078Terror-Force-
131 - 2025-12-061089Warhawks-Force-
132 - 2025-12-071099Menace-Force-
134 - 2025-12-091112Force-Firebirds-
135 - 2025-12-101126Force-Terror-
137 - 2025-12-121137Warhawks-Force-
139 - 2025-12-141150Mammoth-Force-
141 - 2025-12-161161Force-Menace-
142 - 2025-12-171173Force-Warhawks-
144 - 2025-12-191185Menace-Force-
146 - 2025-12-211198Terror-Force-
150 - 2025-12-251217Force-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 jourCapacitéPopularité 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$ 56 817$ 45,752$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
45,752$ 0$ -45,752$



Charte de profondeur

Ailier gaucheCentreAilier droit
Jochen Mock (R)AGE:18PO:78OV:73
Lars Rasmussen (R)AGE:18PO:81OV:72
Jere-Matti Happo (R)AGE:20PO:78OV:71
Pat Inglis (R)AGE:19PO:81OV:67
Dalimir Krupansky (R)AGE:18PO:81OV:67
Lucas Elam (R)AGE:16PO:75OV:68
Roy Perzchajlo (R)AGE:20PO:76OV:67
Marcus GansAGE:16PO:84OV:65
Tilen SirnikAGE:16PO:84OV:62
Frank Elvin (R)AGE:16PO:77OV:58
Tell Schlicht (R)AGE:18PO:68OV:66
Thomas PetersenAGE:18PO:67OV:66
Richard ApalovicAGE:18PO:71OV:62
Roberts Dumins (R)AGE:17PO:92OV:60

Défense #1Défense #2Gardien
Olli ColleyAGE:19PO:74OV:73
Arhippa TahtinenAGE:18PO:89OV:70
Phillip SakariassenAGE:18PO:66OV:70
Ruslan Marutsky (R)AGE:17PO:83OV:66
Ripley Rugg (R)AGE:17PO:84OV:63
Denis Hvizd (R)AGE:17PO:83OV:60
German Nevzorov (R)AGE:16PO:72OV:60
Maximilian Macaulay (R)AGE:20PO:86OV:59
Gerold Giesen (R)AGE:17PO:77OV:70
Egor Rogov (R)AGE:18PO:56OV:68
Oleg UdovinAGE:16PO:58OV: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
6
7
8
9
10
Choix au repêchage conditionnel




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.




Force Historique de transactions

[11/20/2025 6:43:14 PM] New Record for Team's Most Shots (52) in 1 Game for Force!
[11/20/2025 6:43:14 PM] New Record for Team's Most Shots (52) in 1 Game for Force!
[11/18/2025 6:23:35 PM] New Record for Team's Most Shots (48) in 1 Game for Force!



Jochen Mock est dehors pour 1 jours à cause de Exhaustion.



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 Bonneau31414616631238201419688119812.19%209621519.79445094101120123921754.32%51.00522
2Shayne Reinhart3921101462565120179949411309.73%91542413.8418264441112618454.15%00.94312
3Jere-Matti Happo402106139245122565340198410.77%100626615.59143448441121222551.50%00.7805
4Matus Pietor240991132123014664138385311.61%157468319.51233053596063215653.33%00.91316
5Jared Tallon2406414020427306353806809.41%114525221.8912344650022614643.20%00.78315

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
3Gleb Zazulenko108564480.9232.32630616024431841812040.66712
4Gerold Giesen60321480.9062.793373201571678933300.72722
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
554231604443163152112913504232947123251011002116981-12691632694321038556211193356169464358160753621813721264938.89%1103964.55%1641117854.41%52399052.83%39975153.13%119568410724941017506
Total Saison régulière456197145044291922140712631442309373025171012696621752261047201912910711642695711407235537621443615164678214705452652014790344140024711493011522114234029.77%113329573.96%294975963151.66%4850940151.59%3326637052.21%954352589580427885444254
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
Total Séries éliminatoires3215170000099101-21679000004951-21688000005050030991652641025284061101383305354591122415710809922931.52%852274.12%038973353.07%43477556.00%27650454.76%691379718314624308

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
1Angelo Bonneau32192443-349667715112.58%2374623.32511161600023157.87%21.1500
2Jochen Mock27111728278673510310.68%2353219.704591500021054.79%01.0500
3Jere-Matti Happo2791423-51749447312.33%1351218.99246600001051.43%00.9000
4Shayne Reinhart319142332960381038.74%1047115.20033700001060.46%00.9800
5Dale Vacher227714-1626385812.07%2240218.30246700000163.16%00.7000

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
1Daemon Marion158610.9043.2091900495122572100
2Blaine Trevisani136520.9222.6083120364632473000
3Gerold Giesen21010.9052.9012400663330000
4Helgert Finke30110.8923.4415700983460000