AI Football Predictions — How It Works

AI models predict football matches across Premier League (EPL), La Liga, Serie A, Bundesliga, Ligue 1, and Champions League. Get free 1x2 predictions, over/under tips, and Asian handicap analysis updated daily.

Supported Leagues

English Premier League (EPL) predictions
La Liga predictions
Serie A predictions
Bundesliga predictions
Ligue 1 predictions
Champions League predictions

Versailles vs Quevilly Prediction - Saturday, 19 September 2026

Competition: French National 1

Date: Saturday, 19 September 2026

Kickoff Time: 20:45 (GMT+8)

Last Updated: 2026-09-19T21:37:59.983Z

AI Match Analysis Summary

BB9SPORTS AI predicts Versailles Win (1) for this French National 1 clash between Versailles and Quevilly on Saturday, 19 September 2026. Our ensemble machine learning model assigns a 54% probability to a home win, 26% to a draw, and 20% to an away victory. The expected goals model forecasts 1.6 xG for Versailles and 0.9 xG for Quevilly, totaling 2.6 expected goals. Confidence level: Medium. Analysis based on recent form, historical head-to-head data, team strength ratings, and real-time odds from major bookmakers.

BB9SPORTS AI Pre-Match Prediction

Predicted Match Result (1X2)

AI Prediction: Versailles Win (1)

Confidence Level: Medium

1X2 Win Probabilities

Home Win (1) - Versailles: 54%
Draw (X): 26%
Away Win (2) - Quevilly: 20%

Expected Goals (xG)

Versailles: 1.64 xG

Quevilly: 0.92 xG

Total Expected Goals: 2.55

Model Last Updated: 2026-09-19T09:18:58.121Z

AI Prematch Analysis — Post-Lineup

Versailles enter as the modelled favorite (53.7% to win vs 20.5% for Quevilly, 25.8% draw), a gap consistent with the expected-goals split of 1.636 against 0.917. The main line to watch is the Asian Handicap -0.75, where the market's asking price sits close to model output on both sides; the goal-total market (2.5) is close to a coin flip at 47.0% over. With only one bookmaker quoting and a 12.3% margin, none of this should be read as a mispriced market.

Versailles' case for favoritism rests less on the table (8th, 9 points from six games, 3W-0D-3L) than on the underlying scoring rates: a home lambda of 1.636 against Quevilly's away lambda of 0.917 pushes expected goals to 2.55 and tilts the win probabilities toward the hosts. Their recent form, WLLWW, is streaky rather than dominant, and their own home record this season (1 win, 1 loss, no draws) doesn't suggest control so much as variance — consistent with a squad that has conceded 11 in six matches despite scoring 10. Quevilly arrive with a steadier points-per-game rate (2W-2D-2L) but a genuinely poor away record (0W-1D-2L) and the league's lower scoring output (6 for, 8 against), which is why the model discounts them well below the market's implied rank gap. The head-to-head history cuts against a high-scoring script: the last three meetings produced 0-0, 1-1 and 0-0, and the model's own top-score distribution echoes that with 1-1 (12.3%) and 1-0 (12.2%) as the two most likely outcomes ahead of 2-0 and 2-1. That tension — a favorite with a plausible goal advantage playing into a fixture history of tight, low-scoring results — is the real story here, more than any single market call. On pricing, the numbers don't support a value narrative. All 19 quotes examined carry negative edge, ranging from -1.1% to -5.8% with a -2.9% mean — the bookmaker's 12.3% margin is doing its job, and since paired handicap or over/under sides must sum to a negative edge by construction, the least-negative reading on one side (e.g., the -0.75 Asian Handicap on the away side at -2.2%) simply mirrors an even worse price on the other side (-0.75 home also at -2.2%), not a genuine opportunity. With a single bookmaker quoting, there's also no cross-book comparison to triangulate a mispriced line against. One caveat overrides all of the above: lineups had not been published at the time of this analysis, so nothing here accounts for injuries, rotation, or tactical changes that could shift either team's actual scoring rate away from the season-long lambdas used in the model.

Home Win: 53.7%, Draw: 25.8%, Away Win: 20.5%

Expected Goals: 2.5 (Home xG: 1.64, Away xG: 0.92)

Most Likely Score: 1-1

Over 2.5: 47.0%, BTTS: 48.9%

Sign up to view AI Signals

Odds