Chonburi FC vs Ratchaburi – Pre-Match Analysis

Poisson model rates Chonburi FC at 46%, yet other data sources diverge — this Chonburi FC vs Ratchaburi fixture contains genuine analytical tension.

✍️ Match Preview

Analysis

Ratchaburi make the trip to IPE Chonburi Campus Stadium to face Chonburi FC in Thai League 1, Regular Season - 20. The match kicks off on Saturday 6 March 2027 at 12:00 UTC.

Form & Momentum

Chonburi FC have collected 1.40 PPG across 10 Thai League 1 outings this season: 4W 2D 4L. Last five: L D D W L. They are averaging 1.30 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. Chonburi FC have played only a handful of Thai League 1 games so far this season, so this record also draws on matches from last season.

In front of their own supporters this season, Chonburi FC have posted 6W 3D 1L at IPE Chonburi Campus Stadium — 2.10 PPG. At home they are averaging 1.80 goals scored and 0.90 conceded per game. BTTS has landed in 60% of their home matches — a rate that supports the Yes angle in this fixture. Their home PPG of 2.10 is noticeably stronger than their overall 1.40 — Chonburi FC are significantly better at IPE Chonburi Campus Stadium than their overall form suggests.

Ratchaburi (all games): 5W 2D 3L across 10 Thai League 1 outings this term — 1.70 points per game. Last five: W L W W L. Their attacking form is sharp — 2.10 goals per game is a high-output rate that commands respect in the goals markets. 1 clean sheet from 10 outings suggests some defensive organisation. Both teams have scored in 80% of their matches this season — one of the stronger BTTS rates in the division, making Yes a well-evidenced play. Ratchaburi have played only a handful of Thai League 1 games so far this season, so this record also draws on matches from last season.

When travelling in Thai League 1 this season, Ratchaburi have posted 5W 1D 4L from 10 away outings — 1.60 PPG. Away from home they average 1.70 goals scored and 1.40 conceded per game. Both teams have scored in 70% of their away matches — a high BTTS rate on the road that directly informs this fixture.

A near-identical PPG reading — 1.40 for Chonburi FC, 1.70 for Ratchaburi — means the form record is uninstructive on result selection. The goals and market sections will carry greater evidential weight.

In terms of goals, both squads have been finding the net consistently (using home/away splits) — Chonburi FC have seen both teams score in 60% of their games, Ratchaburi in 70%. That combined rate is a strong statistical case for BTTS Yes as a standalone play.

Head-to-Head

Form and model data should carry more weight here — the historical record is too balanced to provide a directional steer. From 8 meetings: Chonburi FC 2W, Ratchaburi 4W, 2D.

The 8 previous meetings have averaged 2.2 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 11 Jan 2026, ended 0–1 with Ratchaburi winning.

The head-to-head offers no strong directional steer in either the result or goals markets. Form, the predictive model and current market pricing should carry more weight than the historical record for this fixture.

Trading Data

Chonburi FC goal-timing and half-time pattern breakdown (31 games, 15 at home): they score before half-time in 53% of fixtures in home games; when goalless at HT, a second-half goal follows 83% of the time; BTTS occurs in 60% of their matches (home games); Over 2.5 goals lands in 33% of games (home games); they fail to score in 39% of games.

Ratchaburi goal-timing and half-time pattern breakdown (31 games, 15 at away): they score before half-time in 67% of fixtures in away games; when goalless at HT, a second-half goal follows 88% of the time; BTTS occurs in 67% of their matches (away games); Over 2.5 goals lands in 67% of games (away games); Over 3.5 in 36%.

BTTS rates are mixed from the trading data — Chonburi FC 55% versus Ratchaburi 58%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Chonburi FC 45% | Ratchaburi 55%).

Poisson Model

The Poisson distribution model projects Chonburi FC 1.50 xG and Ratchaburi 1.11 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: Chonburi FC attack 1.032 / defence 0.957 | Ratchaburi attack 1.065 / defence 1.017. League average goals — home 1.429 / away 1.091. Data: 31 Chonburi FC games / 31 Ratchaburi games used (Blended). A blend of current and prior-season data is applied to stabilise estimates early in the campaign.

Result probabilities: Chonburi FC 46% | Draw 27% | Ratchaburi 27%. Fair-value odds: Chonburi FC 2.17 | Draw 3.70 | Ratchaburi 3.70. Chonburi FC hold a narrow Poisson edge at 46% — the draw (27%) is close enough to merit draw-inclusive market consideration.

Goals markets: Over 2.5 probability 48% | BTTS probability 53% | Total xG 2.61. Over/Under 2.5 is close to a coin-flip at 48%/52% — the total xG of 2.61 sits near the 2.5 margin; this is a low-edge market from a Poisson standpoint. BTTS probability of 53% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Verdict

The Poisson model's primary lean is Chonburi FC at 46% — moderate model lean. Draw probability of 27% warrants consideration of Double Chance or Draw No Bet on Chonburi FC if the outright odds are short.

Poisson projects 2.61 total expected goals, pointing to Under 2.5 at 48% probability — Poisson-only — limited corroboration conviction — though form averaging only 2.9 goals per game points in the other direction.

On the BTTS market, Poisson puts 53% on Yes. Form rates corroborate: Chonburi FC 60% | Ratchaburi 70% BTTS from recent games.

The Poisson model is drawing on Blended data (31 games minimum) — early-season projections carry additional uncertainty. Weight the live form and odds signals accordingly.

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