Predictions / Football / Lebanon. Premier League / Shabab Al Sahel vs Racing

Prediction Audit: Shabab Al Sahel vs Racing Prediction, Odds & AI Betting Tips

Shabab Al Sahel Shabab Al Sahel
Jun 16, 2026 - 13:00
2 1.28
0 0.90
xG Accuracy: 64%
Racing Racing

AI correctly predicted the Shabab Al Sahel win.

The match finished 2–0, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade A

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 No No ✔ Correct
  • 1X2 Shabab Al Sahel Shabab Al Sahel ✔ Correct
  • Correct Score Insights 1-0, 1-1, 0-0, 0-1, 2-0 2-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Shabab Al Sahel higher than the statistical model.

Largest probability gap: Shabab Al Sahel -25.1 pp

Outcome Model Closing Market Difference Signal
Shabab Al Sahel 55.7% 80.8% -25.1 pp Market Higher
Draw 26.4% 12.9% +13.4 pp Model Edge
Racing 17.9% 6.3% +11.7 pp Model Edge

The closing market estimates Shabab Al Sahel's win probability at 80.8%, compared with the model's estimate of 55.7%, a difference of 25.1 percentage points. This highlights a disagreement between the model and market consensus, without 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 model's directional lean matched the result (Shabab Al Sahel win 2–0).

Post Match Insights

What worked

  • Low-scoring profile materialised (ΣxG 2.18, 2 goals)
  • Shabab Al Sahel attacking xG significantly stronger (1.28 vs 0.90)
  • Both Teams To Score (No) matched the full-time result

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Shabab Al Sahel higher (80.8% vs model 55.7%, 25.1 pp), but the model's lean was validated (Shabab Al Sahel win 2–0).

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Prediction Timeline

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

  1. Jun 16, 2026 · 18:18 UTC Forecast generated
    • Model 1X2 · Shabab Al Sahel 55.6% · Draw 26.4% · Racing 18.0%
    • xG · Shabab Al Sahel 1.28 — Racing 0.90
  2. Jun 16, 2026 · 12:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Shabab Al Sahel 1.11 · Draw 6.93 · Racing 14.32
    • Implied 1X2 · Shabab Al Sahel 80.8% · Draw 12.9% · Racing 6.3%
    • Bookmaker · Pinnacle
  3. Jun 16, 2026 · 12:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Shabab Al Sahel 1.11 · Draw 6.93 · Racing 14.32
    • Implied 1X2 · Shabab Al Sahel 80.8% · Draw 12.9% · Racing 6.3%
    • Bookmaker · Pinnacle
  4. Jun 16, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Shabab Al Sahel win · 2–0
  6. FT Prediction validated Directional lean matched full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 50/100 · Moderate
  • Validation: Warning
  • Large market gap (25 pp)
Evidence ★★★★★
  • Moderate model lean
  • Market strongly disagrees on price
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 32/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 23:16 UTC Snapshot ID: dp-1656005

Closing Odds 1.11
AI Fair Odds —
CLV Pending
Final Result Shabab Al Sahel win · Shabab Al Sahel 2–0 Racing
Prediction ✔ Correct
Decision Grade A

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: Premier League
  • Fixture: Shabab Al Sahel vs Racing
  • Kickoff: 2026-06-16 13:00:00
  • 1X2 (model): Home 50.0% · Draw 50.0% · Away 0.0%
  • xG (showing): Shabab Al Sahel 1.28 — Racing 0.9 (total xG ≈ 2.18)
  • 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): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: Wait

Outcome: Validated — Pre-match lean validated against 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 01, 2026 (UTC)

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Premier League Premier League — Standings
# TEAM MP W D L PTS
1 Al Ansar 21 17 2 2 53
2 Al Nejmeh 21 14 4 3 46
3 Al Ahed 21 13 1 7 40
4 Jwaaya FC 21 11 5 5 38
5 Safa 21 11 3 7 36
6 Al Hikma 21 9 3 9 30
7 Shabab Al Sahel 21 7 6 8 27
8 Al Mabarrah 21 5 7 9 22
9 Reyady Abaseya 21 5 5 11 20
10 Tadamon Sour 21 3 8 10 17
11 Bourj 11 3 1 7 10
12 Racing 21 0 1 20 1
# TEAM MP GS GC +/- PTS
1 Al Ansar 21 53 9 +44 53
2 Al Nejmeh 21 42 10 +32 46
3 Al Ahed 21 34 22 +12 40
4 Jwaaya FC 21 31 14 +17 38
5 Safa 21 30 17 +13 36
6 Al Hikma 21 29 27 +2 30
7 Shabab Al Sahel 21 22 21 +1 27
8 Reyady Abaseya 21 16 30 -14 20
9 Tadamon Sour 21 12 26 -14 17
10 Al Mabarrah 21 12 36 -24 22
11 Bourj 11 8 20 -12 10
12 Racing 21 4 61 -57 1