The model missed the final outcome (Velden win 2–3).
The model had projected Donau Klagenfurt at 36.1%, 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 Under 2.5 Over 2.5 (5 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Donau Klagenfurt Velden ✖ Incorrect
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-3 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Donau Klagenfurt | 36.1% | 24.2% | +11.9 pp | Model Edge |
| Draw | 29.6% | 24.3% | +5.4 pp | Model Higher |
| Velden | 34.2% | 51.5% | -17.3 pp | Market Higher |
The closing market estimates Velden's win probability at 51.5%, compared with the model's estimate of 34.2%, a difference of 17.3 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: PRE5.
After full time, the result was Velden win 2–3.
Market Assessment
The market is materially more optimistic about Velden than the current fair estimate.
- Investors may be incorporating information not fully reflected in the baseline model.
- Tournament-specific context can shift market pricing.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.60) — 5 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 (5 goals)
- 1X2: model leaned Donau Klagenfurt; match finished Velden
Market lesson
The closing market differed from the model on Donau Klagenfurt by 17.3 percentage points (53.4% vs model 36.1%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 29, 2026 · 15:58 UTC Forecast generated
- Model 1X2 · Donau Klagenfurt 36.1% · Draw 29.7% · Velden 34.2%
- xG · Donau Klagenfurt 1.32 — Velden 1.28
-
Aug 29, 2026 · 15:36 UTC Opening odds snapshot PRE30
- 1X2 odds · Donau Klagenfurt 3.67 · Draw 3.65 · Velden 1.72
- Implied 1X2 · Donau Klagenfurt 24.2% · Draw 24.3% · Velden 51.5%
- Bookmaker · Pinnacle
-
Aug 29, 2026 · 15:58 UTC Closing snapshot recorded PRE5
- 1X2 odds · Donau Klagenfurt 3.67 · Draw 3.65 · Velden 1.72
- Implied 1X2 · Donau Klagenfurt 24.2% · Draw 24.3% · Velden 51.5%
- Bookmaker · Pinnacle
-
Aug 29, 2026 · 16:00 UTC Kickoff
-
FT Full-time result Velden win · 2–3
-
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: Warning
- Large market gap (17 pp)
- No strong statistical edge
- Pricing remains divergent
- 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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Regionalliga - South — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Velden | 9 | 5 | 4 | 0 | 19 |
| 2 | Wolfsberger AC II | 2 | 1 | 1 | 0 | 4 |
| 2 | Austria Klagenfurt | 9 | 6 | 1 | 2 | 19 |
| 3 | Treibach | 9 | 5 | 2 | 2 | 17 |
| 4 | Kalsdorf | 8 | 5 | 2 | 1 | 17 |
| 5 | Deutschlandsberger SC | 8 | 5 | 2 | 1 | 17 |
| 6 | Völkermarkt | 9 | 4 | 2 | 3 | 14 |
| 7 | Weiz | 8 | 3 | 4 | 1 | 13 |
| 8 | SV Lafnitz | 8 | 3 | 3 | 2 | 12 |
| 9 | Wolfsberger AC | 9 | 3 | 3 | 3 | 12 |
| 10 | Allerheiligen | 8 | 2 | 3 | 3 | 9 |
| 11 | Tillmitsch | 8 | 2 | 3 | 3 | 9 |
| 12 | Wolfsberg | 9 | 1 | 4 | 4 | 7 |
| 13 | Bleiburg | 9 | 1 | 3 | 5 | 6 |
| 14 | Hartberg (Am) | 8 | 1 | 2 | 5 | 5 |
| 15 | Gleisdorf 09 | 8 | 1 | 1 | 6 | 4 |
| 16 | Donau Klagenfurt | 9 | 0 | 3 | 6 | 3 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Deutschlandsberger SC | 8 | 18 | 11 | +7 | 17 |
| 2 | Austria Klagenfurt | 9 | 18 | 12 | +6 | 19 |
| 3 | Treibach | 9 | 17 | 9 | +8 | 17 |
| 4 | Velden | 9 | 16 | 7 | +9 | 19 |
| 5 | Kalsdorf | 8 | 16 | 8 | +8 | 17 |
| 6 | Völkermarkt | 9 | 16 | 9 | +7 | 14 |
| 7 | SV Lafnitz | 8 | 16 | 16 | 0 | 12 |
| 8 | Allerheiligen | 8 | 16 | 16 | 0 | 9 |
| 9 | Weiz | 8 | 15 | 10 | +5 | 13 |
| 10 | Wolfsberger AC | 9 | 14 | 15 | -1 | 12 |
| 11 | Tillmitsch | 8 | 14 | 16 | -2 | 9 |
| 12 | Bleiburg | 9 | 12 | 17 | -5 | 6 |
| 13 | Hartberg (Am) | 8 | 10 | 18 | -8 | 5 |
| 14 | Gleisdorf 09 | 8 | 8 | 18 | -10 | 4 |
| 15 | Donau Klagenfurt | 9 | 7 | 17 | -10 | 3 |
| 16 | Wolfsberg | 9 | 6 | 20 | -14 | 7 |
| 17 | Wolfsberger AC II | 2 | 4 | 2 | +2 | 4 |