Statistics / Football / Algeria. Ligue 2 / Taghit vs WA Mostaganem

Taghit vs WA Mostaganem Statistics & Analysis

⚽
Taghit
Oct 09, 2026 - 14:00
1 1.30
1 1.30
xG Accuracy: 85%
WA Mostaganem WA Mostaganem
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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 Yes ✔ Correct
  • 1X2 Taghit Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Oct 05, 2026 · 01:34 UTC Snapshot ID: dp-13198309

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Draw · Taghit 1–1 WA Mostaganem
Prediction ✖ Missed
Decision Grade C

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Ligue 2
  • Fixture: Taghit vs WA Mostaganem
  • Kickoff: 2026-10-09 14:00:00
  • 1X2 (model): Home 35.2% · Draw 29.6% · Away 35.2%
  • xG (showing): Taghit 1.3 — WA Mostaganem 1.3 (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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

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: 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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Ligue 2 Ligue 2 — Standings
# TEAM MP W D L PTS
1 USM Annaba 3 2 0 1 6
2 JSM Skikda 3 2 0 1 6
3 NC Magra 3 2 0 1 6
4 Azazga 3 1 2 0 5
5 MO Constantine 3 1 2 0 5
6 MSP Batna 3 1 2 0 5
7 Khroub 3 1 2 0 5
8 MO Bejaia 2 1 1 0 4
9 Paradou AC 3 1 1 1 4
10 Nrb Beni Oulbene 3 1 1 1 4
11 IRB Nezla 2 1 0 1 3
12 US Chaouia 3 0 2 1 2
13 JS Jijel 2 0 1 1 1
14 Teleghma 3 0 1 2 1
15 CA Batna 3 0 1 2 1
16 CR Béni Thour 2 0 0 2 0
# TEAM MP GS GC +/- PTS
1 USM Annaba 3 5 2 +3 6
2 JSM Skikda 3 3 1 +2 6
3 MO Bejaia 2 3 1 +2 4
4 Azazga 3 3 2 +1 5
5 Paradou AC 3 3 3 0 4
6 NC Magra 3 3 4 -1 6
7 Teleghma 3 3 5 -2 1
8 MO Constantine 3 2 1 +1 5
9 MSP Batna 3 2 1 +1 5
10 Nrb Beni Oulbene 3 2 2 0 4
11 CA Batna 3 2 4 -2 1
12 CR Béni Thour 2 2 5 -3 0
13 Khroub 3 1 0 +1 5
14 IRB Nezla 2 1 2 -1 3
15 US Chaouia 3 1 2 -1 2
16 JS Jijel 2 0 1 -1 1
Ligue 2 Algeria. Ligue 2 Predictions