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Poisson model rates Rodez at 51%, yet other data sources diverge — this Rodez vs Boulogne fixture contains genuine analytical tension.

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Full Analysis

Stade Paul-Lignon plays host to Rodez versus Boulogne in Ligue 2, Regular Season - 4. Kick-off: Friday 29 August 2025 at 19:00 UTC.

Form & Momentum

Rodez have collected 1.00 PPG across 10 Ligue 2 outings this season: 1W 7D 2L. Last five: D D D L D. They are averaging 1.10 goals per game and conceding 1.50 — a modest attacking output that tempers optimism on the Over 2.5 market. 2 clean sheets from 10 outings provides some defensive foundation. Both teams have scored in 70% of their games — a high BTTS rate that carries real weight in the goals markets. Rodez have played only a handful of Ligue 2 games so far this season, so this record also draws on matches from last season.

Rodez's form when playing at home: 2W 6D 2L across 10 games at Stade Paul-Lignon this term (1.20 PPG). At home they are averaging 1.30 goals scored and 1.10 conceded per game. Both teams have scored in 70% of their home games — an outstanding BTTS rate that is a key data point for this fixture.

Boulogne (all games): 1W 0D 3L across 4 Ligue 2 outings this term — 0.75 points per game. Last five: L W L L. Their scoring rate of 0.75 per game is modest, conceding 1.50 — not a side to back heavily on the Over 2.5 from their form alone. Boulogne have played only a handful of Ligue 2 games so far this season, so this record also draws on matches from last season.

A near-identical PPG reading — 1.00 for Rodez, 0.75 for Boulogne — means the form record is uninstructive on result selection. The goals and market sections will carry greater evidential weight.

Trading Data

Rodez goal-timing and half-time pattern breakdown (4 games): they score before half-time in 75% of fixtures; when winning at HT they fail to see it out 25% of the time; BTTS occurs in 50% of their matches; Over 2.5 goals lands in 25% of games; they fail to score in 50% of games.

Boulogne goal-timing and half-time pattern breakdown (4 games): they score before half-time in 50% of fixtures; BTTS occurs in 50% of their matches; Over 2.5 goals lands in 50% of games; they fail to score in 50% of games.

BTTS rates are mixed from the trading data — Rodez 50% versus Boulogne 50%; no strong lean in either direction. Under 2.5 goals has backing from the in-play data — both teams register low Over 2.5 rates (Rodez 25% | Boulogne 50%).

Poisson Model

The Poisson distribution model projects Rodez 1.34 xG and Boulogne 0.73 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: Rodez attack 0.889 / defence 0.895 | Boulogne attack 0.707 / defence 1.107. League average goals — home 1.361 / away 1.154. Data: 37 Rodez games / 2 Boulogne games used (Blended). A blend of current and prior-season data is applied to stabilise estimates early in the campaign.

Result probabilities: Rodez 51% | Draw 28% | Boulogne 20%. Fair-value odds: Rodez 1.96 | Draw 3.57 | Boulogne 5.00. Rodez hold a narrow Poisson edge at 51% — the draw (28%) is close enough to merit draw-inclusive market consideration.

Goals markets: Over 2.5 probability 34% | BTTS probability 38% | Total xG 2.07. Under 2.5 is the strongly backed market at 66% probability — total xG of 2.07 sits well below the 2.5 threshold. The model is projecting a tight, low-scoring match based on both sides' defensive quality. BTTS probability of 38% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Final Verdict

Poisson rates Rodez as the most likely outcome at 51% — moderate model lean. Draw probability of 28% warrants consideration of Double Chance or Draw No Bet on Rodez if the outright odds are short.

The Poisson model projects 2.07 xG in total — Under 2.5 at 34% — Poisson-only — limited corroboration confidence.

Poisson assigns a 38% probability to BTTS No based on the attack/defence strength model. This conflicts with form data: Rodez 70% | Boulogne 50% from recent games — a notable divergence.

The Poisson model is drawing on Blended data (2 games minimum) — early-season projections carry additional uncertainty. Weight the live form and odds signals accordingly.

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