Statistics / Football / Thailand. Thai League 1 / Kanchanaburi vs Ratchaburi

Kanchanaburi vs Ratchaburi Statistics & Analysis

May 10, 2026 - 11:00
0 1.17
1 1.13
xG Accuracy: 70%
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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Kanchanaburi Ratchaburi ✖ Incorrect
  • Correct Score Insights 1-1 0-1 ✖ Incorrect

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Thai League 1
  • Fixture: Kanchanaburi vs Ratchaburi
  • Kickoff: 2026-05-10 11:00:00
  • 1X2 (model): Home 35.1% · Draw 31.8% · Away 33.1%
  • xG (showing): Kanchanaburi 1.17 — Ratchaburi 1.13 (total xG ≈ 2.3)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 59.6% · Implied: 36.8% · Probability edge: +22.8 pts · Est. EV: +67.5%
  • BTTS (model): Yes 48.4% · No 51.6%
  • Correct score (top bin): 1-1 (13.3%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

Correct score remains high-variance even when a line is most likely on paper.

Best Bet + Reason

The engine’s headline primary is: Under 2.5 goals.

We separate probability edge (model minus implied, in points of probability) from estimated EV (economic edge at the best price shown on the page).

Edges shrink quickly if prices move; always re-check the number on your book.

FAQ

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

What is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

What changes first if odds move?

Implied probabilities and EV move immediately with price; model probabilities in this snapshot do not update until the pipeline is re-run. Refresh after material line moves.

Risk Factors

  • 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%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

May 17, 2026 (UTC)

How to use this
  • Focus on the Primary line when you want one actionable idea.
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

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Back to Statistics
Thai League 1 Thai League 1Standings
# TEAM MP W D L PTS
1 Buriram United 30 22 4 4 70
2 Port FC 30 18 6 6 60
3 Ratchaburi 30 18 5 7 59
4 BG Pathum United 30 14 10 6 52
5 Bangkok United 30 13 11 6 50
6 Prachuap 30 11 12 7 45
7 Chiangrai United 30 9 13 8 40
8 Chonburi FC 30 10 9 11 39
9 Rayong FC 30 9 10 11 37
10 Ayutthaya FC 30 8 8 14 32
11 Uthai Thani 30 7 10 13 31
12 Lamphun Warrior 30 4 17 9 29
13 Sukhothai FC 30 6 10 14 28
14 Muangthong United 30 6 8 16 26
15 Nakhon Ratchasima FC 30 6 6 18 24
16 Kanchanaburi 30 4 11 15 23
# TEAM MP GS GC +/- PTS
1 Buriram United 30 76 31 +45 70
2 Port FC 30 59 23 +36 60
3 Ratchaburi 30 55 30 +25 59
4 BG Pathum United 30 45 29 +16 52
5 Rayong FC 30 44 49 -5 37
6 Bangkok United 30 43 32 +11 50
7 Prachuap 30 39 37 +2 45
8 Uthai Thani 30 39 44 -5 31
9 Chonburi FC 30 38 41 -3 39
10 Chiangrai United 30 36 37 -1 40
11 Lamphun Warrior 30 35 47 -12 29
12 Ayutthaya FC 30 34 50 -16 32
13 Kanchanaburi 30 29 54 -25 23
14 Muangthong United 30 27 52 -25 26
15 Sukhothai FC 30 23 42 -19 28
16 Nakhon Ratchasima FC 30 20 44 -24 24
# TEAM MP xG xGC +/- PTS
1 Buriram United 30 13.4 6.1 +7.3 70
2 Bangkok United 30 13.3 7.2 +6.1 50
3 Port FC 30 12.0 8.3 +3.7 60
4 Prachuap 30 10.3 6.6 +3.7 45
5 Ayutthaya FC 30 10.3 7.9 +2.4 32
6 Rayong FC 30 9.8 7.8 +2.0 37
7 Muangthong United 30 10.3 9.8 +0.5 26
8 Chonburi FC 30 8.9 10.1 -1.2 39
9 Ratchaburi 30 10.8 12.2 -1.4 59
10 Lamphun Warrior 30 9.5 11.1 -1.6 29
11 Uthai Thani 30 9.0 10.8 -1.8 31
12 BG Pathum United 30 8.1 9.9 -1.8 52
13 Kanchanaburi 30 9.0 12.2 -3.2 23
14 Chiangrai United 30 8.4 11.8 -3.4 40
15 Sukhothai FC 30 7.8 13.3 -5.5 28
16 Nakhon Ratchasima FC 30 6.5 12.2 -5.7 24