Predictions / Football / Israel. Ligat Ha'al / Hapoel Katamon vs Ironi Kiryat Shmona

Prediction Audit: Hapoel Katamon vs Ironi Kiryat Shmona Prediction, Odds & AI Betting Tips

Sep 05, 2026 - 16:45
4 1.32
2 1.28
xG Accuracy: 39%

AI correctly predicted the Hapoel Katamon win.

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

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Ironi Kiryat Shmona -1.3 pp

Outcome Model Closing Market Difference Signal
Hapoel Katamon 36.1% 34.8% +1.3 pp Aligned
Draw 29.6% 29.6% +0.0 pp Aligned
Ironi Kiryat Shmona 34.2% 35.6% -1.3 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 Katamon win 4–2).

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

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (6 goals)
  • Exact score: outside the model's top score bins

Market lesson

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

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Prediction Timeline

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

  1. Sep 05, 2026 · 16:44 UTC Forecast generated
    • Model 1X2 · Hapoel Katamon 36.1% · Draw 29.7% · Ironi Kiryat Shmona 34.2%
    • xG · Hapoel Katamon 1.32 — Ironi Kiryat Shmona 1.28
  2. Sep 05, 2026 · 16:14 UTC Opening odds snapshot PRE30
    • 1X2 odds · Hapoel Katamon 2.74 · Draw 3.22 · Ironi Kiryat Shmona 2.68
    • Implied 1X2 · Hapoel Katamon 34.8% · Draw 29.6% · Ironi Kiryat Shmona 35.6%
    • Bookmaker · Pinnacle
  3. Sep 05, 2026 · 16:44 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Hapoel Katamon 2.74 · Draw 3.22 · Ironi Kiryat Shmona 2.68
    • Implied 1X2 · Hapoel Katamon 34.8% · Draw 29.6% · Ironi Kiryat Shmona 35.6%
    • Bookmaker · Pinnacle
  4. Sep 05, 2026 · 16:45 UTC Kickoff
  5. FT Full-time result Hapoel Katamon win · 4–2
  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: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 78/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 32/100
Monitoring Confidence 35/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 03:54 UTC Snapshot ID: dp-6163835

Closing Odds 2.68
AI Fair Odds —
CLV Pending
Final Result Hapoel Katamon win · Hapoel Katamon 4–2 Ironi Kiryat Shmona
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

Quick read on how the model reads this matchup.

  • League: Ligat Ha'al
  • Fixture: Hapoel Katamon vs Ironi Kiryat Shmona
  • Kickoff: 2026-09-05 16:45:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Hapoel Katamon 1.32 — Ironi Kiryat Shmona 1.28 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • 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 (12.5%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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

Historical Recommendation

Historical Decision: Monitor

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

September 30, 2026 (UTC)

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Ligat Ha'al Ligat Ha'al — Standings
# TEAM MP W D L PTS
1 Maccabi Tel Aviv 5 5 0 0 15
2 Maccabi Haifa 5 4 0 1 12
3 Hapoel Tel Aviv 5 3 1 1 10
4 Hapoel Beer Sheva 5 3 1 1 10
5 Beitar Jerusalem 5 3 0 2 9
6 Hapoel Katamon 5 2 1 2 7
7 Hapoel Haifa 5 1 3 1 6
8 Maccabi Petah Tikva 5 2 0 3 6
9 Maccabi Netanya 5 1 2 2 5
10 Bnei Sakhnin 5 1 1 3 4
11 Hapoel Ramat Gan 5 1 0 4 3
12 Ironi Kiryat Shmona 5 1 0 4 3
13 Hapoel Petah Tikva 5 1 0 4 3
14 Ironi Tiberias 5 2 1 2 1
# TEAM MP GS GC +/- PTS
1 Maccabi Tel Aviv 5 18 6 +12 15
2 Maccabi Haifa 5 12 7 +5 12
3 Hapoel Katamon 5 12 12 0 7
4 Hapoel Tel Aviv 5 11 4 +7 10
5 Hapoel Beer Sheva 5 8 7 +1 10
6 Maccabi Petah Tikva 5 8 11 -3 6
7 Hapoel Haifa 5 7 6 +1 6
8 Ironi Tiberias 5 7 8 -1 1
9 Beitar Jerusalem 5 7 9 -2 9
10 Maccabi Netanya 5 6 6 0 5
11 Ironi Kiryat Shmona 5 5 11 -6 3
12 Hapoel Ramat Gan 5 4 9 -5 3
13 Bnei Sakhnin 5 3 6 -3 4
14 Hapoel Petah Tikva 5 2 8 -6 3