Predictions / Football / Israel. Liga Alef / Ironi Nesher vs Tzeirei Umm al-Fahm

Prediction Audit: Ironi Nesher vs Tzeirei Umm al-Fahm Prediction, Odds & AI Betting Tips

Sep 18, 2026 - 08:50
5 1.27
1 1.33
xG Accuracy: 33%

The model missed the final outcome (Ironi Nesher win 5–1).

The model had projected Tzeirei Umm al-Fahm at 36.6%, 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 Over 2.5 (6 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Tzeirei Umm al-Fahm Ironi Nesher ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 5-1 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Ironi Nesher higher than the statistical model.

Largest probability gap: Ironi Nesher -8.6 pp

Outcome Model Closing Market Difference Signal
Ironi Nesher 33.8% 42.4% -8.6 pp Market Higher
Draw 29.6% 29.0% +0.7 pp Aligned
Tzeirei Umm al-Fahm 36.6% 28.7% +7.9 pp Model Higher

The closing market estimates Ironi Nesher's win probability at 42.4%, compared with the model's estimate of 33.8%, a difference of 8.6 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 result was Ironi Nesher win 5–1.

Market Assessment

The market and model broadly agree on Ironi Nesher. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 6 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (6 goals)

Market lesson

The closing market differed from the model on Tzeirei Umm al-Fahm by 8.6 percentage points (45.2% vs model 36.6%) — 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 18, 2026 · 08:49 UTC Forecast generated
    • Model 1X2 · Ironi Nesher 33.8% · Draw 29.6% · Tzeirei Umm al-Fahm 36.6%
    • xG · Ironi Nesher 1.27 — Tzeirei Umm al-Fahm 1.33
  2. Sep 18, 2026 · 08:19 UTC Opening odds snapshot PRE30
    • 1X2 odds · Ironi Nesher 2.10 · Draw 3.07 · Tzeirei Umm al-Fahm 3.10
    • Implied 1X2 · Ironi Nesher 42.4% · Draw 29.0% · Tzeirei Umm al-Fahm 28.7%
    • Bookmaker · Pinnacle
  3. Sep 18, 2026 · 08:49 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Ironi Nesher 2.10 · Draw 3.07 · Tzeirei Umm al-Fahm 3.10
    • Implied 1X2 · Ironi Nesher 42.4% · Draw 29.0% · Tzeirei Umm al-Fahm 28.7%
    • Bookmaker · Pinnacle
  4. Sep 18, 2026 · 08:50 UTC Kickoff
  5. FT Full-time result Ironi Nesher win · 5–1
  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 75/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 19/100
Monitoring Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 07:37 UTC Snapshot ID: dp-8734832

Closing Odds 2.1
AI Fair Odds —
CLV Pending
Final Result Ironi Nesher win · Ironi Nesher 5–1 Tzeirei Umm al-Fahm
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

Pre-match snapshot for this fixture.

  • League: Liga Alef
  • Fixture: Ironi Nesher vs Tzeirei Umm al-Fahm
  • Kickoff: 2026-09-18 08:50:00
  • 1X2 (model): Home 33.8% · Draw 29.6% · Away 36.6%
  • xG (showing): Ironi Nesher 1.27 — Tzeirei Umm al-Fahm 1.33 (total xG ≈ 2.6)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 51.8% · Implied: 47.3% · Probability edge: +4.5 pts · Est. EV: +6.2%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

Early match state can move realised goals away from pre-kick projections.

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 01, 2026 (UTC)

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