The model missed the final outcome (UN Kaerjeng 97 win 0–3).
The model had projected Rodange 91 at 41.8%, 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 (3 goals) ✔ Correct
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 Rodange 91 UN Kaerjeng 97 ✖ Incorrect
- Correct Score Insights 1-1, 1-0, 2-1, 0-1, 1-2 0-3 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Rodange 91 | 41.8% | 32.8% | +9.0 pp | Model Higher |
| Draw | 25.7% | 28.3% | -2.6 pp | Aligned |
| UN Kaerjeng 97 | 32.6% | 39.0% | -6.4 pp | Market Higher |
The statistical model estimates Rodange 91's win probability at 41.8%, compared with the closing market's implied probability of 32.8%, a difference of 9.0 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 UN Kaerjeng 97 win 0–3.
Market Assessment
The fair estimate shows a modest edge over current market pricing on Rodange 91.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.70) — 3 goals materialised
- Over 2.5 goals aligned with the xG profile
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- 1X2: model leaned Rodange 91; match finished UN Kaerjeng 97
Market lesson
The closing market differed from the model on Rodange 91 by 9.0 percentage points (32.8% vs model 41.8%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Before kickoff Forecast generated
- Model 1X2 · Rodange 91 41.8% · Draw 25.7% · UN Kaerjeng 97 32.6%
- xG · Rodange 91 1.45 — UN Kaerjeng 97 1.25
-
May 03, 2026 · 13:50 UTC Opening odds snapshot PRE10
- 1X2 odds · Rodange 91 2.83 · Draw 3.28 · UN Kaerjeng 97 2.38
- Implied 1X2 · Rodange 91 32.8% · Draw 28.3% · UN Kaerjeng 97 39.0%
- Bookmaker · Pinnacle
-
May 03, 2026 · 13:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Rodange 91 2.83 · Draw 3.28 · UN Kaerjeng 97 2.38
- Implied 1X2 · Rodange 91 32.8% · Draw 28.3% · UN Kaerjeng 97 39.0%
- Bookmaker · Pinnacle
-
May 03, 2026 · 14:00 UTC Kickoff
-
FT Full-time result UN Kaerjeng 97 win · 0–3
-
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: Pass
- Statistical edge detected
- Direction agrees with model lean
- Validation passed
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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National Division — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Atert Bissen | 30 | 20 | 5 | 5 | 65 |
| 2 | FC Differdange 03 | 30 | 19 | 8 | 3 | 65 |
| 3 | US Mondorf-les-bains | 30 | 19 | 3 | 8 | 60 |
| 4 | UNA Strassen | 30 | 17 | 7 | 6 | 58 |
| 5 | F91 Dudelange | 30 | 17 | 7 | 6 | 58 |
| 6 | AS Jeunesse Esch | 30 | 10 | 10 | 10 | 40 |
| 7 | Racing FC Union Luxembourg | 30 | 11 | 7 | 12 | 40 |
| 8 | UN Kaerjeng 97 | 30 | 11 | 5 | 14 | 38 |
| 9 | US Hostert | 30 | 10 | 6 | 14 | 36 |
| 10 | Victoria Rosport | 30 | 10 | 5 | 15 | 35 |
| 11 | Progres Niederkorn | 30 | 9 | 7 | 14 | 34 |
| 12 | Swift Hesperange | 30 | 9 | 5 | 16 | 32 |
| 13 | Jeunesse Canach | 30 | 9 | 4 | 17 | 31 |
| 14 | Mamer | 30 | 8 | 5 | 17 | 29 |
| 15 | Union Titus Petange | 30 | 6 | 7 | 17 | 25 |
| 16 | Rodange 91 | 30 | 6 | 7 | 17 | 25 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Atert Bissen | 30 | 70 | 27 | +43 | 65 |
| 2 | FC Differdange 03 | 30 | 63 | 22 | +41 | 65 |
| 3 | F91 Dudelange | 30 | 59 | 38 | +21 | 58 |
| 4 | UNA Strassen | 30 | 57 | 26 | +31 | 58 |
| 5 | US Mondorf-les-bains | 30 | 51 | 24 | +27 | 60 |
| 6 | Racing FC Union Luxembourg | 30 | 48 | 50 | -2 | 40 |
| 7 | Progres Niederkorn | 30 | 44 | 47 | -3 | 34 |
| 8 | UN Kaerjeng 97 | 30 | 43 | 48 | -5 | 38 |
| 9 | AS Jeunesse Esch | 30 | 35 | 34 | +1 | 40 |
| 10 | US Hostert | 30 | 35 | 56 | -21 | 36 |
| 11 | Victoria Rosport | 30 | 33 | 50 | -17 | 35 |
| 12 | Mamer | 30 | 33 | 59 | -26 | 29 |
| 13 | Swift Hesperange | 30 | 31 | 46 | -15 | 32 |
| 14 | Jeunesse Canach | 30 | 29 | 44 | -15 | 31 |
| 15 | Rodange 91 | 30 | 28 | 65 | -37 | 25 |
| 16 | Union Titus Petange | 30 | 26 | 49 | -23 | 25 |