Predictions / Football / Algeria. Ligue 1 / JS Saoura vs Oued Akbou

Prediction Audit: JS Saoura vs Oued Akbou Prediction, Odds & AI Betting Tips

Oct 08, 2026 - 17:00
0 1.29
0 1.31
xG Accuracy: 49%

The model missed the final outcome (Draw 0–0).

The model had projected Oued Akbou at 35.6%, 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 Under 2.5 Under 2.5 (0 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Oued Akbou Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The model rates Oued Akbou considerably stronger than the closing betting market.

Largest probability gap: Oued Akbou +15.4 pp

Outcome Model Closing Market Difference Signal
JS Saoura 34.7% 47.4% -12.7 pp Market Higher
Draw 29.6% 32.4% -2.7 pp Aligned
Oued Akbou 35.6% 20.2% +15.4 pp Model Edge

The statistical model estimates Oued Akbou's win probability at 35.6%, compared with the closing market's implied probability of 20.2%, a difference of 15.4 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than indicating which view is ultimately correct.

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 Draw 0–0.

Market Assessment

The statistical fair estimate is materially higher than the market on Oued Akbou.

  • The model may see a slower-scoring or closer matchup than the market.
  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Under 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 Oued Akbou; match finished Draw

Market lesson

The closing market differed from the model on Oued Akbou by 15.4 percentage points (20.2% vs model 35.6%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Sep 14, 2026 · 02:54 UTC Forecast generated
    • Model 1X2 · JS Saoura 34.7% · Draw 29.7% · Oued Akbou 35.6%
    • xG · JS Saoura 1.29 — Oued Akbou 1.31
  2. Oct 08, 2026 · 16:39 UTC Opening odds snapshot PRE20
    • 1X2 odds · JS Saoura 1.88 · Draw 2.75 · Oued Akbou 4.40
    • Implied 1X2 · JS Saoura 47.4% · Draw 32.4% · Oued Akbou 20.2%
    • Bookmaker · betmgm us
  3. Oct 08, 2026 · 16:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · JS Saoura 1.88 · Draw 2.75 · Oued Akbou 4.40
    • Implied 1X2 · JS Saoura 47.4% · Draw 32.4% · Oued Akbou 20.2%
    • Bookmaker · betmgm us
  4. Oct 08, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result Draw · 0–0
  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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 55/100 · Moderate
  • Validation: Warning
  • Large market gap (15 pp)
Evidence ★★★★★
  • Statistical edge detected
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 8/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 02:54 UTC Snapshot ID: dp-8699461

Closing Odds 4.4
AI Fair Odds —
CLV Pending
Final Result Draw · JS Saoura 0–0 Oued Akbou
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: Ligue 1
  • Fixture: JS Saoura vs Oued Akbou
  • Kickoff: 2026-09-19 15:00:00
  • 1X2 (model): Home 34.7% · Draw 29.7% · Away 35.6%
  • xG (showing): JS Saoura 1.29 — Oued Akbou 1.31 (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.

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

Historical Recommendation

Historical Decision: Monitor

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 09, 2026 (UTC)

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Ligue 1 Ligue 1 — Standings
# TEAM MP W D L PTS
1 USM Alger 3 2 1 0 7
2 CR Belouizdad 3 2 1 0 7
3 MC Oran 2 2 0 0 6
4 Ben Aknoun 3 1 2 0 5
5 CS Constantine 3 1 1 1 4
6 Témouchent 3 1 1 1 4
7 ES Setif 3 1 0 2 3
8 MC Alger 1 1 0 0 3
9 JS El Biar 3 1 0 2 3
10 JS Kabylie 2 1 0 1 3
11 Oued Akbou 3 1 0 2 3
12 MB Rouisset 3 1 0 2 3
13 Khenchela 2 0 2 0 2
14 US Biskra 3 0 2 1 2
15 ASO Chlef 3 0 1 2 1
16 JS Saoura 2 0 1 1 1
# TEAM MP GS GC +/- PTS
1 USM Alger 3 5 2 +3 7
2 CR Belouizdad 3 5 3 +2 7
3 ES Setif 3 5 3 +2 3
4 CS Constantine 3 5 6 -1 4
5 Ben Aknoun 3 4 3 +1 5
6 JS El Biar 3 4 4 0 3
7 Oued Akbou 3 4 5 -1 3
8 MC Oran 2 3 0 +3 6
9 ASO Chlef 3 3 7 -4 1
10 MC Alger 1 2 0 +2 3
11 Témouchent 3 2 3 -1 4
12 MB Rouisset 3 2 3 -1 3
13 US Biskra 3 2 3 -1 2
14 JS Kabylie 2 1 1 0 3
15 Khenchela 2 1 1 0 2
16 JS Saoura 2 0 4 -4 1