Predictions / Football / Lebanon. Premier League / Tadamon Sour vs Al Ansar

Prediction Audit: Tadamon Sour vs Al Ansar Prediction, Odds & AI Betting Tips

Jul 03, 2026 - 12:30
0 0.93
3 1.50
xG Accuracy: 51%

AI correctly predicted the Al Ansar win.

The match finished 0–3, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Al Ansar Al Ansar ✔ Correct
  • Correct Score Insights 0-1, 1-1, 0-2, 1-2, 0-0 0-3 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Al Ansar higher than the statistical model.

Largest probability gap: Al Ansar -22.9 pp

Outcome Model Closing Market Difference Signal
Tadamon Sour 14.8% 4.7% +10.1 pp Model Edge
Draw 24.0% 11.2% +12.8 pp Model Edge
Al Ansar 61.2% 84.1% -22.9 pp Market Higher

The closing market estimates Al Ansar's win probability at 84.1%, compared with the model's estimate of 61.2%, a difference of 22.9 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 (Al Ansar win 0–3).

Post Match Insights

What worked

  • Al Ansar attacking xG significantly stronger (1.50 vs 0.93)
  • Both Teams To Score (No) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Al Ansar higher (84.1% vs model 61.2%, 22.9 pp), but the model's lean was validated (Al Ansar win 0–3).

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Prediction Timeline

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

  1. Jul 03, 2026 · 19:28 UTC Forecast generated
    • Model 1X2 · Tadamon Sour 14.8% · Draw 23.9% · Al Ansar 61.3%
    • xG · Tadamon Sour 0.93 — Al Ansar 1.50
  2. Jul 03, 2026 · 11:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · Tadamon Sour 19.08 · Draw 8.03 · Al Ansar 1.07
    • Implied 1X2 · Tadamon Sour 4.7% · Draw 11.2% · Al Ansar 84.1%
    • Bookmaker · Pinnacle
  3. Jul 03, 2026 · 12:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Tadamon Sour 19.08 · Draw 8.03 · Al Ansar 1.07
    • Implied 1X2 · Tadamon Sour 4.7% · Draw 11.2% · Al Ansar 84.1%
    • Bookmaker · Pinnacle
  4. Jul 03, 2026 · 12:30 UTC Kickoff
  5. FT Full-time result Al Ansar win · 0–3
  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 52/100 · Moderate
  • Validation: Warning
  • Large market gap (23 pp)
Evidence ★★★★★
  • Moderate model lean
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 19:00 UTC Snapshot ID: dp-1627304

Closing Odds 1.07
AI Fair Odds —
CLV Pending
Final Result Al Ansar win · Tadamon Sour 0–3 Al Ansar
Prediction ✔ Correct
Decision Grade B-

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

Pre-match snapshot for this fixture.

  • League: Premier League
  • Fixture: Tadamon Sour vs Al Ansar
  • Kickoff: 2026-07-03 12:30:00
  • 1X2 (model): Home 0.0% · Draw 50.0% · Away 50.0%
  • xG (showing): Tadamon Sour 0.93 — Al Ansar 1.5 (total xG ≈ 2.43)
  • 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

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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 02, 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