🎯

Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

📋

Poisson model rates Chiangrai United at 36%, yet in-form Port FC provide a compelling counter-argument — this Chiangrai United vs Port FC fixture contains genuine analytical tension.

✍️ Match Preview

Analysis

Port FC make the trip to Singha Chiangrai Stadium to face Chiangrai United in Thai League 1, Regular Season - 16. The match kicks off on Sunday 12 January 2025 at 11:00 UTC.

Current Form

Chiangrai United's overall Thai League 1 record this term: 3W 1D 6L from 10 games (1.00 PPG). Last five: L W D L W. They are averaging 0.90 goals per game and conceding 1.30 — a modest attacking output that tempers optimism on the Over 2.5 market. 3 clean sheets from 10 outings provides some defensive foundation. Both teams have scored in just 30% of their matches, indicating a tendency toward clean sheets or low-scoring outcomes. This season is still relatively young for Chiangrai United, so this record blends games from this season and last.

At home at Singha Chiangrai Stadium, Chiangrai United have gone 3W 3D 4L this season (10 games, 1.20 PPG). At home they are averaging 1.10 goals scored and 1.40 conceded per game. 4 home clean sheets from 10 games (40%) — a solid defensive base on their own ground.

Port FC have collected 1.60 PPG across 10 Thai League 1 outings this season: 4W 4D 2L. Last five: D L D W W. Their scoring rate of 1.20 per game is modest, conceding 1.00 — not a side to back heavily on the Over 2.5 from their form alone. 3 clean sheets from 10 outings suggests some defensive organisation. Both teams have scored in 60% of their games — a noteworthy BTTS rate that supports the Yes market. This season is still relatively young for Port FC, so this record blends games from this season and last.

Port FC's away record: 4W 5D 1L from 10 road trips in Thai League 1 this season (1.70 PPG). Away from home they average 1.70 goals scored and 1.30 conceded per game. Both teams have scored in 80% of their away matches — a high BTTS rate on the road that directly informs this fixture.

Port FC arrive in superior form — a 0.60 PPG advantage (1.60 vs 1.00) that offsets much of the home-ground benefit. The away side are the form pick, with draw protection the sensible way to manage the home-field uncertainty.

H2H Analysis

The head-to-head record is closely matched — Chiangrai United lead 1W to 3W over the last 7 encounters, with 3 draws, though neither side has established a commanding advantage.

These two sides have produced goals at a consistent rate historically, averaging 3.1 per game across 7 meetings. That scoring profile provides genuine support for the Over 2.5 angle. The most recent clash, on 19 Aug 2024, ended 1–5 with Port FC winning.

With the win record balanced, the strongest H2H-derived signal is in the goals market. At 3.1 goals per game historically, Over 2.5 is the cleaner angle to extract from the head-to-head data.

Trading & In-Play

Chiangrai United — key trading statistics (45 games, 22 at home): they score before half-time in 73% of fixtures in home games; when goalless at HT, a second-half goal follows 54% of the time; BTTS occurs in 50% of their matches (home games); Over 2.5 goals lands in 36% of games (home games); they fail to score in 38% of games.

Port FC — key trading statistics (45 games, 22 at away): they score before half-time in 91% of fixtures in away games; when goalless at HT, a second-half goal follows 50% of the time; two or more arrive in the second half on 50% of those occasions; they lead at the break 49% of the time; BTTS occurs in 77% of their matches (away games); Over 2.5 goals lands in 64% of games (away games); Over 3.5 in 49%.

BTTS rates are mixed from the trading data — Chiangrai United 47% versus Port FC 71%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Chiangrai United 44% | Port FC 67%).

Poisson Model

The Poisson distribution model projects Chiangrai United 1.30 xG and Port FC 1.27 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: Chiangrai United attack 0.875 / defence 0.992 | Port FC attack 1.060 / defence 0.923. League average goals — home 1.615 / away 1.209. Data: 45 Chiangrai United games / 45 Port FC games used (CurrentSeason).

Result probabilities: Chiangrai United 36% | Draw 29% | Port FC 35%. Fair-value odds: Chiangrai United 2.78 | Draw 3.45 | Port FC 2.86. This is a low-confidence result — no outcome exceeds 45%. The draw at 29% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 48% | BTTS probability 53% | Total xG 2.58. Over/Under 2.5 is close to a coin-flip at 48%/52% — the total xG of 2.58 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.

Final Verdict

Poisson rates Chiangrai United as the most likely outcome at 36% — marginal model lean. Note a divergence: in-form Port FC (1.60 PPG) cuts against the Poisson lean — consider the strength-adjusted model over surface-level form results. Draw probability of 29% warrants consideration of Double Chance or Draw No Bet on Chiangrai United if the outright odds are short. The opposing side holds a 35% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 2.58 xG in total — Under 2.5 at 48% — Poisson-only — limited corroboration confidence — though H2H averaging only 3.1 goals per meeting points in the other direction.

Poisson assigns a 53% probability to BTTS Yes based on the attack/defence strength model. Form rates corroborate: Chiangrai United 40% | Port FC 80% BTTS from recent games.

The outsider holds a 35% win probability per the model — this is not a banker and should not be treated as one. Proportionate stakes are appropriate given the genuine contest the data projects.

🔮 Your Prediction

Sign in to submit your prediction and see how it compares to the rest of the community.

💡 Key Insights