Predictions / Football / World. Friendlies / Seychelles vs Sri Lanka

Prediction Audit: Seychelles vs Sri Lanka Prediction, Odds & AI Betting Tips

Seychelles Seychelles
Sep 27, 2026 - 12:00
0 1.39
3 1.21
xG Accuracy: 42%
Sri Lanka Sri Lanka

The model missed the final outcome (Sri Lanka win 0–3).

The model had projected Seychelles at 39.5%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

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 Seychelles Sri Lanka ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-3 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Sri Lanka -4.9 pp

Outcome Model Closing Market Difference Signal
Seychelles 39.5% 36.0% +3.5 pp Aligned
Draw 29.5% 28.1% +1.4 pp Aligned
Sri Lanka 31.0% 36.0% -4.9 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 Sri Lanka win 0–3.

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Over 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Seychelles; match finished Sri Lanka

Market lesson

The full-time result was Sri Lanka win 0–3, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. Sep 27, 2026 · 12:01 UTC Forecast generated
    • Model 1X2 · Seychelles 39.5% · Draw 29.5% · Sri Lanka 31.0%
    • xG · Seychelles 1.39 — Sri Lanka 1.21
  2. Sep 27, 2026 · 11:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Seychelles 2.56 · Draw 3.28 · Sri Lanka 2.56
    • Implied 1X2 · Seychelles 36.0% · Draw 28.1% · Sri Lanka 36.0%
    • Bookmaker · Marathonbet
  3. Sep 27, 2026 · 12:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Seychelles 2.56 · Draw 3.28 · Sri Lanka 2.56
    • Implied 1X2 · Seychelles 36.0% · Draw 28.1% · Sri Lanka 36.0%
    • Bookmaker · Marathonbet
  4. Sep 27, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result Sri Lanka win · 0–3
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 75/100
Betting Confidence 80/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 01:14 UTC Snapshot ID: dp-10087949

Closing Odds 2.56
AI Fair Odds —
CLV Pending
Final Result Sri Lanka win · Seychelles 0–3 Sri Lanka
Prediction ✖ Missed
Decision Grade F

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

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

  • League: Friendlies
  • Fixture: Seychelles vs Sri Lanka
  • Kickoff: 2026-09-27 12:00:00
  • 1X2 (model): Home 39.5% · Draw 29.5% · Away 31.0%
  • xG (showing): Seychelles 1.39 — Sri Lanka 1.21 (total xG ≈ 2.6)
  • Primary / headline line (Betting Primary Pick when shown): Over 2.5 goals
  • Model: 48.2% · Implied: 43.6% · Probability edge: +4.6 pts · Est. EV: +7.5%
  • BTTS (model): Yes 54.3% · No 45.7%
  • Correct score (top bin): 1-1 (12.5%)

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

1X2 can look balanced even when side markets show clearer structure.

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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