Predictions / Football / Thailand. Thai League 1 / Buriram United vs Chiangrai United

Prediction Audit: Buriram United vs Chiangrai United Prediction, Odds & AI Betting Tips

Sep 11, 2026 - 11:00
1 1.44
1 0.81
xG Accuracy: 84%

The model missed the final outcome (Draw 1–1).

The model had projected Buriram United at 50.4%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Buriram United Draw ✖ Incorrect
  • Correct Score Insights 1-0, 1-1, 2-0, 0-0, 2-1 1-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Buriram United higher than the statistical model.

Largest probability gap: Buriram United -29.7 pp

Outcome Model Closing Market Difference Signal
Buriram United 50.4% 80.0% -29.7 pp Market Higher
Draw 30.1% 12.9% +17.2 pp Model Edge
Chiangrai United 19.5% 7.0% +12.5 pp Model Edge

The closing market estimates Buriram United's win probability at 80.0%, compared with the model's estimate of 50.4%, a difference of 29.7 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the result was Draw 1–1.

Post Match Insights

What worked

  • Both Teams To Score (Yes) matched the full-time result
  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • 1X2: model leaned Buriram United; match finished Draw

Market lesson

The closing market differed from the model on Buriram United by 29.7 percentage points (80.1% vs model 50.4%) — in this case the market view proved closer.

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Sep 11, 2026 · 10:59 UTC Forecast generated
    • Model 1X2 · Buriram United 50.3% · Draw 30.1% · Chiangrai United 19.6%
    • xG · Buriram United 1.44 — Chiangrai United 0.81
  2. Sep 11, 2026 · 10:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Buriram United 1.16 · Draw 7.17 · Chiangrai United 13.25
    • Implied 1X2 · Buriram United 80.0% · Draw 12.9% · Chiangrai United 7.0%
    • Bookmaker · Pinnacle
  3. Sep 11, 2026 · 10:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Buriram United 1.16 · Draw 7.17 · Chiangrai United 13.25
    • Implied 1X2 · Buriram United 80.0% · Draw 12.9% · Chiangrai United 7.0%
    • Bookmaker · Pinnacle
  4. Sep 11, 2026 · 11:00 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 48/100 · Moderate
  • Validation: Warning
  • Large market gap (30 pp)
Evidence ★★★★★
  • Moderate model lean
  • Market strongly disagrees on price
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 31/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 05, 2026 · 01:05 UTC Snapshot ID: dp-7021632

Closing Odds 1.16
AI Fair Odds —
CLV Pending
Final Result Draw · Buriram United 1–1 Chiangrai United
Prediction ✖ Missed
Decision Grade C

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Thai League 1
  • Fixture: Buriram United vs Chiangrai United
  • Kickoff: 2026-09-11 11:00:00
  • 1X2 (model): Home 50.3% · Draw 30.1% · Away 19.6%
  • xG (showing): Buriram United 1.44 — Chiangrai United 0.81 (total xG ≈ 2.25)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 60.9% · Over 2.5 39.1%); BTTS No (Yes 44.0% · No 56.0%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 44.0% · No 56.0%
  • Correct score (top bin): 1-0 (15.2%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: Wait

Outcome: Missed — Pre-match 1X2 lean did not match the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

October 01, 2026 (UTC)

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Thai League 1 Thai League 1 — Standings
# TEAM MP W D L PTS
1 Buriram United 3 2 1 0 7
2 Rayong FC 3 2 1 0 7
3 Uthai Thani 3 2 0 1 6
4 Prachuap 3 2 0 1 6
5 Bangkok United 3 2 0 1 6
6 Port FC 3 2 0 1 6
7 Ayutthaya FC 3 2 0 1 6
8 Bangkok Glass 3 1 1 1 4
9 Ratchaburi 3 1 1 1 4
10 Chiangrai United 3 1 1 1 4
11 Pattani 3 1 1 1 4
12 Sukhothai FC 3 1 0 2 3
13 Sisaket United 3 1 0 2 3
14 Rasi Salai United 3 0 1 2 1
15 Lamphun Warrior 3 0 1 2 1
16 Chonburi FC 3 0 0 3 0
# TEAM MP GS GC +/- PTS
1 Uthai Thani 3 7 4 +3 6
2 Bangkok United 3 6 4 +2 6
3 Buriram United 3 5 2 +3 7
4 Rayong FC 3 5 3 +2 7
5 Port FC 3 5 4 +1 6
6 Bangkok Glass 3 5 5 0 4
7 Prachuap 3 4 1 +3 6
8 Ayutthaya FC 3 4 3 +1 6
9 Rasi Salai United 3 4 6 -2 1
10 Ratchaburi 3 3 3 0 4
11 Sukhothai FC 3 3 5 -2 3
12 Lamphun Warrior 3 3 7 -4 1
13 Chiangrai United 3 2 2 0 4
14 Pattani 3 2 4 -2 4
15 Sisaket United 3 2 4 -2 3
16 Chonburi FC 3 2 5 -3 0