Statistics / Football / Ivory-Coast. Ligue 1 / Mouna vs Yamoussoukro

Mouna vs Yamoussoukro Statistics & Analysis

Mouna Mouna
Oct 06, 2026 - 15:30
0 1.37
2 1.23
xG Accuracy: 56%
⚽
Yamoussoukro
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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 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Mouna Yamoussoukro ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Oct 03, 2026 · 00:24 UTC Snapshot ID: dp-12671810

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Yamoussoukro win · Mouna 0–2 Yamoussoukro
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Ligue 1
  • Fixture: Mouna vs Yamoussoukro
  • Kickoff: 2026-10-05 15:30:00
  • 1X2 (model): Home 38.5% · Draw 29.6% · Away 31.9%
  • xG (showing): Mouna 1.37 — Yamoussoukro 1.23 (total xG ≈ 2.6)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • 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 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

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.

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

October 11, 2026 (UTC)

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Back to Statistics
Ligue 1 Ligue 1 — Standings
# TEAM MP W D L PTS
1 SOA 1 1 0 0 3
2 Bouaké 1 1 0 0 3
3 SOL 1 1 0 0 3
4 Zoman 1 1 0 0 3
5 ES Agboville 1 1 0 0 3
6 Yamoussoukro 1 1 0 0 3
7 Stade d'Abidjan 1 0 1 0 1
8 Mouna 1 0 1 0 1
9 ISCA 1 0 1 0 1
10 US Tchologo 1 0 1 0 1
11 Stella 1 0 0 1 0
12 AFAD 1 0 0 1 0
13 ASEC Mimosas 1 0 0 1 0
14 Korhogo 1 0 0 1 0
15 San-Pédro 1 0 0 1 0
16 Adiake 1 0 0 1 0
# TEAM MP GS GC +/- PTS
1 SOA 1 2 1 +1 3
2 Bouaké 1 2 1 +1 3
3 SOL 1 1 0 +1 3
4 Zoman 1 1 0 +1 3
5 ES Agboville 1 1 0 +1 3
6 Yamoussoukro 1 1 0 +1 3
7 Stella 1 1 2 -1 0
8 AFAD 1 1 2 -1 0
9 Stade d'Abidjan 1 0 0 0 1
10 Mouna 1 0 0 0 1
11 ISCA 1 0 0 0 1
12 US Tchologo 1 0 0 0 1
13 ASEC Mimosas 1 0 1 -1 0
14 Korhogo 1 0 1 -1 0
15 San-Pédro 1 0 1 -1 0
16 Adiake 1 0 1 -1 0
Ligue 1 Ivory-Coast. Ligue 1 Predictions