Statistics / Football / Thailand. Thai League 2 / Esan Pattaya vs Phrae United

Esan Pattaya vs Phrae United Statistics & Analysis

Sep 20, 2026 - 11:30
0 1.39
3 1.21
xG Accuracy: 42%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

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

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Esan Pattaya Phrae United ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-3 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 01:15 UTC Snapshot ID: dp-8664629

Closing Odds 1.95
AI Fair Odds —
CLV +0.0%
Final Result Phrae United win · Esan Pattaya 0–3 Phrae United
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Phrae United (1X2) meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Phrae United (1X2) by about 5.3 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Esan Pattaya (1X2) 39.5 46.3 -6.8
Draw (1X2) 29.5 28.0 +1.5
Phrae United (1X2) 31.0 25.7 +5.3
Over 2.5 goals 48.2 48.7 -0.5
Under 2.5 goals 51.8 51.3 +0.5
What this means

In plain terms: the model lands near 31.0% on Phrae United (1X2), while the closing snapshot implied about 25.7%. The difference — about 5.3 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Esan Pattaya (1X2) 1.95 1.95 0.0
Draw (1X2) 3.23 3.23 0.0
Phrae United (1X2) 3.51 3.51 0.0
Over 2.5 goals 1.93 1.93 0.0
Under 2.5 goals 1.83 1.83 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Thai League 2
  • Fixture: Esan Pattaya vs Phrae United
  • Kickoff: 2026-09-20 11:30:00
  • 1X2 (model): Home 39.5% · Draw 29.5% · Away 31.0%
  • xG (showing): Esan Pattaya 1.39 — Phrae United 1.21 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.3% · No 45.7%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 54.3% · No 45.7%
  • Correct score (top bin): 1-1 (12.5%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: No Primary Bet

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

September 29, 2026 (UTC)

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Back to Statistics
Thai League 2 Thai League 2 — Standings
# TEAM MP W D L PTS
1 Khon Kaen United 4 3 0 1 9
2 Uttaradit 4 2 2 0 8
3 Muang Loei United 4 2 1 1 7
4 Nong Bua Pitchaya 4 2 1 1 7
5 Chainat 4 2 1 1 7
6 Muangthong United 4 2 1 1 7
7 Satun 4 2 0 2 6
8 Kanchanaburi 4 1 3 0 6
9 Chiangmai United 4 2 0 2 6
10 Police Tero 4 2 0 2 6
11 Songkhla 4 1 2 1 5
12 Chanthaburi 4 1 1 2 4
13 Nakhon Pathom 4 0 4 0 4
14 Phrae United 4 1 1 2 4
15 Esan Pattaya 4 1 1 2 4
16 Mahasarakham United 4 0 3 1 3
17 Nakhon Ratchasima FC 4 0 2 2 2
18 Kasetsart FC 4 0 1 3 1
# TEAM MP GS GC +/- PTS
1 Satun 4 11 9 +2 6
2 Nong Bua Pitchaya 4 9 7 +2 7
3 Uttaradit 4 8 5 +3 8
4 Khon Kaen United 4 7 3 +4 9
5 Muang Loei United 4 6 2 +4 7
6 Kanchanaburi 4 6 4 +2 6
7 Songkhla 4 6 5 +1 5
8 Chiangmai United 4 5 4 +1 6
9 Chainat 4 5 5 0 7
10 Chanthaburi 4 5 5 0 4
11 Nakhon Ratchasima FC 4 5 7 -2 2
12 Police Tero 4 4 5 -1 6
13 Phrae United 4 4 5 -1 4
14 Nakhon Pathom 4 3 3 0 4
15 Muangthong United 4 3 4 -1 7
16 Mahasarakham United 4 3 6 -3 3
17 Esan Pattaya 4 1 6 -5 4
18 Kasetsart FC 4 0 6 -6 1