Predictions / Football / World. UEFA Nations League / Faroe Islands vs Kazakhstan

Prediction Audit: Faroe Islands vs Kazakhstan Prediction, Odds & AI Betting Tips

Sep 26, 2026 - 16:00
1 2.04
1 1.75
xG Accuracy: 61%

The model missed the final outcome (Draw 1–1).

The model had projected Faroe Islands at 44.1%, 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 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Faroe Islands Draw ✖ Incorrect
  • Correct Score Insights 2-1, 1-1, 2-2, 1-2, 3-1 1-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The closing market prices Draw higher than the statistical model.

Largest probability gap: Draw -6.2 pp

Outcome Model Closing Market Difference Signal
Faroe Islands 44.1% 42.3% +1.8 pp Aligned
Draw 23.2% 29.5% -6.2 pp Market Higher
Kazakhstan 32.7% 28.3% +4.4 pp Aligned

The closing market estimates Draw's win probability at 29.5%, compared with the model's estimate of 23.2%, a difference of 6.2 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 Draw 1–1.

Market Assessment

The market and model broadly agree on Draw. 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

  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)
  • 1X2: model leaned Faroe Islands; match finished Draw

Market lesson

The closing market differed from the model on Faroe Islands by 6.2 percentage points (50.4% vs model 44.1%) — 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 26, 2026 · 19:30 UTC Forecast generated
    • Model 1X2 · Faroe Islands 44.1% · Draw 23.2% · Kazakhstan 32.7%
    • xG · Faroe Islands 2.04 — Kazakhstan 1.75
  2. Sep 26, 2026 · 15:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Faroe Islands 2.28 · Draw 3.27 · Kazakhstan 3.41
    • Implied 1X2 · Faroe Islands 42.3% · Draw 29.5% · Kazakhstan 28.3%
    • Bookmaker · Pinnacle
  3. Sep 26, 2026 · 15:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Faroe Islands 2.28 · Draw 3.27 · Kazakhstan 3.41
    • Implied 1X2 · Faroe Islands 42.3% · Draw 29.5% · Kazakhstan 28.3%
    • Bookmaker · Pinnacle
  4. Sep 26, 2026 · 16:00 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 70/100 · High
  • Validation: Pass
  • High xG deviation from league baseline (51%+)
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 68/100
Betting Confidence 73/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 02:37 UTC Snapshot ID: dp-10114479

Closing Odds 3.27
AI Fair Odds —
CLV Pending
Final Result Draw · Faroe Islands 1–1 Kazakhstan
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

Quick read on how the model reads this matchup.

  • League: UEFA Nations League
  • Fixture: Faroe Islands vs Kazakhstan
  • Kickoff: 2026-09-26 16:00:00
  • 1X2 (model): Home 50.0% · Draw 50.0% · Away 0.0%
  • xG (showing): Faroe Islands 2.04 — Kazakhstan 1.75 (total xG ≈ 3.79)
  • 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: No Primary Bet

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

September 30, 2026 (UTC)

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