Predictions / Football / Israel. Liga Alef / Maccabi Nujeidat Ahmed vs Hapoel Migdal HaEmek

Prediction Audit: Maccabi Nujeidat Ahmed vs Hapoel Migdal HaEmek Prediction, Odds & AI Betting Tips

Maccabi Nujeidat Ahmed Maccabi Nujeidat Ahmed
Sep 18, 2026 - 12:00
2 1.15
4 1.45
xG Accuracy: 39%
Hapoel Migdal HaEmek Hapoel Migdal HaEmek

AI correctly predicted the Hapoel Migdal HaEmek win.

The match finished 2–4, 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 Over 2.5 Over 2.5 (6 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Hapoel Migdal HaEmek Hapoel Migdal HaEmek ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 2-4 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Maccabi Nujeidat Ahmed +3.8 pp

Outcome Model Closing Market Difference Signal
Maccabi Nujeidat Ahmed 28.4% 24.6% +3.8 pp Aligned
Draw 29.3% 29.4% -0.1 pp Aligned
Hapoel Migdal HaEmek 42.4% 46.1% -3.7 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 (Hapoel Migdal HaEmek win 2–4).

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 6 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Over 2.5 goals aligned with the xG profile

What failed

  • Exact score: outside the model's top score bins

Market lesson

The model's directional lean matched the full-time result (Hapoel Migdal HaEmek win 2–4).

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Prediction Timeline

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

  1. Sep 18, 2026 · 12:00 UTC Forecast generated
    • Model 1X2 · Maccabi Nujeidat Ahmed 28.4% · Draw 29.2% · Hapoel Migdal HaEmek 42.4%
    • xG · Maccabi Nujeidat Ahmed 1.15 — Hapoel Migdal HaEmek 1.45
  2. Sep 18, 2026 · 11:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Maccabi Nujeidat Ahmed 3.62 · Draw 3.03 · Hapoel Migdal HaEmek 1.93
    • Implied 1X2 · Maccabi Nujeidat Ahmed 24.6% · Draw 29.4% · Hapoel Migdal HaEmek 46.1%
    • Bookmaker · Pinnacle
  3. Sep 18, 2026 · 12:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Maccabi Nujeidat Ahmed 3.62 · Draw 3.03 · Hapoel Migdal HaEmek 1.93
    • Implied 1X2 · Maccabi Nujeidat Ahmed 24.6% · Draw 29.4% · Hapoel Migdal HaEmek 46.1%
    • Bookmaker · Pinnacle
  4. Sep 18, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result Hapoel Migdal HaEmek win · 2–4
  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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 81/100
Betting Confidence 80/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 07:41 UTC Snapshot ID: dp-8735086

Closing Odds 3.62
AI Fair Odds —
CLV Pending
Final Result Hapoel Migdal HaEmek win · Maccabi Nujeidat Ahmed 2–4 Hapoel Migdal HaEmek
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

Pre-match snapshot for this fixture.

  • League: Liga Alef
  • Fixture: Maccabi Nujeidat Ahmed vs Hapoel Migdal HaEmek
  • Kickoff: 2026-09-18 12:00:00
  • 1X2 (model): Home 28.4% · Draw 29.2% · Away 42.4%
  • xG (showing): Maccabi Nujeidat Ahmed 1.15 — Hapoel Migdal HaEmek 1.45 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS Yes
  • Model: 53.9% · Implied: 49.7% · Probability edge: +4.2 pts · Est. EV: +2.9%
  • BTTS (model): Yes 53.9% · No 46.1%
  • Correct score (top bin): 1-1 (12.4%)

Totals and BTTS are evaluated against current market prices where available.

Correct score remains high-variance even when a line is most likely on paper.

Historical Recommendation

Historical Decision: No Primary Bet

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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