The model missed the final outcome (Aragvi Dusheti win 1–2).
The model had projected Sioni at 39.5%, 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 (3 goals) ✖ Incorrect
- Both Teams To Score BTTS No Yes ✖ Incorrect
- 1X2 Sioni Aragvi Dusheti ✖ Incorrect
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-2 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Sioni | 39.5% | 50.4% | -10.9 pp | Market Higher |
| Draw | 29.5% | 26.1% | +3.4 pp | Aligned |
| Aragvi Dusheti | 31.0% | 23.5% | +7.5 pp | Model Higher |
The closing market estimates Sioni's win probability at 50.4%, compared with the model's estimate of 39.5%, a difference of 10.9 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 Aragvi Dusheti win 1–2.
Market Assessment
The market is materially more optimistic about Sioni 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) — 3 goals materialised
- Exact score 1–2 fell within the model's highlighted bins
What failed
- Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
Market lesson
The closing market differed from the model on Sioni by 10.9 percentage points (50.4% vs model 39.5%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 20, 2026 · 15:01 UTC Forecast generated
- Model 1X2 · Sioni 39.5% · Draw 29.5% · Aragvi Dusheti 31.0%
- xG · Sioni 1.39 — Aragvi Dusheti 1.21
-
Sep 20, 2026 · 14:36 UTC Opening odds snapshot PRE30
- 1X2 odds · Sioni 1.76 · Draw 3.40 · Aragvi Dusheti 3.77
- Implied 1X2 · Sioni 50.4% · Draw 26.1% · Aragvi Dusheti 23.5%
- Bookmaker · Pinnacle
-
Sep 20, 2026 · 15:01 UTC Closing snapshot recorded PRE5
- 1X2 odds · Sioni 1.76 · Draw 3.40 · Aragvi Dusheti 3.77
- Implied 1X2 · Sioni 50.4% · Draw 26.1% · Aragvi Dusheti 23.5%
- Bookmaker · Pinnacle
-
Sep 20, 2026 · 15:00 UTC Kickoff
-
FT Full-time result Aragvi Dusheti win · 1–2
-
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 (11 pp)
- No strong statistical edge
- 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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Erovnuli Liga 2 — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Gareji | 27 | 14 | 8 | 5 | 50 |
| 2 | Telavi | 27 | 11 | 10 | 6 | 43 |
| 3 | Shturmi | 27 | 11 | 10 | 6 | 43 |
| 4 | Merani Martvili | 27 | 10 | 7 | 10 | 37 |
| 5 | Samtredia | 27 | 11 | 4 | 12 | 37 |
| 6 | Aragvi Dusheti | 27 | 10 | 5 | 12 | 35 |
| 7 | Sioni | 27 | 8 | 9 | 10 | 33 |
| 8 | Odishi 1919 | 27 | 8 | 8 | 11 | 32 |
| 9 | Kolkheti Poti | 27 | 6 | 10 | 11 | 28 |
| 10 | Gori | 27 | 6 | 9 | 12 | 27 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Samtredia | 27 | 48 | 40 | +8 | 37 |
| 2 | Gareji | 27 | 35 | 28 | +7 | 50 |
| 3 | Sioni | 27 | 35 | 34 | +1 | 33 |
| 4 | Kolkheti Poti | 27 | 34 | 33 | +1 | 28 |
| 5 | Merani Martvili | 27 | 30 | 34 | -4 | 37 |
| 6 | Aragvi Dusheti | 27 | 30 | 37 | -7 | 35 |
| 7 | Shturmi | 27 | 29 | 23 | +6 | 43 |
| 8 | Telavi | 27 | 29 | 25 | +4 | 43 |
| 9 | Odishi 1919 | 27 | 29 | 37 | -8 | 32 |
| 10 | Gori | 27 | 27 | 35 | -8 | 27 |