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...
Modélise l'efficacité offensive contre la fragilité défensive avec les données réelles de la saison pour évaluer la probabilité que les deux équipes marquent.
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.