Algorithmic Both Teams to Score (BTTS Yes / No) insights for English Women S Super League. Evaluated with live season attacking metrics and defensive concession rates.
Validated across 2,343 fixtures
Avg 2.83 goals per match
Home Win 45% • Draw 26% • Away 29%
Home vs Away xG: 1.53 - 1.03
Showing algorithmically evaluated matches for the English Women S Super League with focus on Both Teams to Score (BTTS / GG) Predictions.
Arsenal's elite ClubElo rating of 2046 and home advantage at the Emirates should edge a competitive contest, though London City Lionesses' s...
Aston Villa's 246-point ClubElo superiority and 1.78 xG projection against a Birmingham side generating just 0.84 xG point to a controlled h...
West Ham's +229 ClubElo superiority and 1.99 xG projection against a Charlton side conceding at will points to a controlled home victory, wi...
Gerçek sezon atılan ve yenilen gol verileriyle hücum baskısını ve savunma zaafiyetlerini karşılaştırarak Karşılıklı Gol (KG Var/Yok) ihtimalini modeller.
Across 2343 official matches in English Women S Super League, fixtures average 2.83 total goals per 90 minutes (6631 goals scored). Home clubs win 45% of encounters, draws finish at 26%, and away wins occur in 29%. Over 2.5 goals lands in 50% of fixtures, while BTTS hits in 55%.
Historically, 55% of matches in English Women S Super League result in Both Teams Scoring (BTTS Yes).
The AI balances combined team xG (2.83 avg goals/game) against clean-sheet percentages and striker form.