The model missed the final outcome (Draw 2–2).
The model had projected Faroe Islands at 41.2%, but the full-time result went the other way.
Tracked markets vs full-time result
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 (4 goals) ✔ Correct
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Faroe Islands Draw ✖ Incorrect
- Correct Score Insights 1-1, 0-1, 1-0, 0-0, 1-2 2-2 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Kazakhstan | 28.2% | 39.8% | -11.6 pp | Market Higher |
| Draw | 30.6% | 31.6% | -0.9 pp | Aligned |
| Faroe Islands | 41.2% | 28.7% | +12.5 pp | Model Edge |
The statistical model estimates Faroe Islands's win probability at 41.2%, compared with the closing market's implied probability of 28.7%, a difference of 12.5 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 2–2.
Market Assessment
The statistical fair estimate is materially higher than the market on Faroe Islands.
- The model may see a slower-scoring or closer matchup than the market.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Both Teams To Score (Yes) matched the full-time result
- Over 2.5 goals aligned with the xG profile
What failed
- 1X2: model leaned Faroe Islands; match finished Draw
- Exact score: outside the model's top score bins
Market lesson
The closing market differed from the model on Faroe Islands by 12.5 percentage points (28.7% vs model 41.2%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Oct 06, 2026 · 01:11 UTC Forecast generated
- Model 1X2 · Kazakhstan 28.2% · Draw 30.7% · Faroe Islands 41.1%
- xG · Kazakhstan 1.07 — Faroe Islands 1.34
-
Oct 06, 2026 · 13:40 UTC Opening odds snapshot PRE20
- 1X2 odds · Kazakhstan 2.38 · Draw 3.00 · Faroe Islands 3.30
- Implied 1X2 · Kazakhstan 39.8% · Draw 31.6% · Faroe Islands 28.7%
- Bookmaker · bet365 us
-
Oct 06, 2026 · 13:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Kazakhstan 2.38 · Draw 3.00 · Faroe Islands 3.30
- Implied 1X2 · Kazakhstan 39.8% · Draw 31.6% · Faroe Islands 28.7%
- Bookmaker · bet365 us
-
Oct 06, 2026 · 14:00 UTC Kickoff
-
FT Full-time result Draw · 2–2
-
FT Prediction missed 1X2 lean did not match full-time result
-
Archived Prediction review
Historical Snapshot
Frozen at kickoff — the model output as it stood before the match started.
Pre-match metrics (historical context)
- Validation: Warning
- Large market gap (13 pp)
- Statistical edge detected
- Market has already priced much of the edge
- Validation warning
Validation Report
Immutable SnapshotModel 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.
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UEFA Nations League — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | France | 4 | 3 | 1 | 0 | 10 |
| 2 | Italy | 4 | 2 | 1 | 1 | 7 |
| 3 | Belgium | 4 | 2 | 0 | 2 | 6 |
| 4 | Türkiye | 4 | 0 | 0 | 4 | 0 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Italy | 4 | 8 | 5 | +3 | 7 |
| 2 | France | 4 | 7 | 2 | +5 | 10 |
| 3 | Belgium | 4 | 6 | 5 | +1 | 6 |
| 4 | Türkiye | 4 | 2 | 11 | -9 | 0 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | France | 4 | 2.0 | 0.6 | +1.4 | 10 |
| 2 | Italy | 4 | 2.0 | 1.4 | +0.6 | 7 |
| 3 | Türkiye | 4 | 1.4 | 2.0 | -0.6 | 0 |
| 4 | Belgium | 4 | 0.6 | 2.0 | -1.4 | 6 |
