AI correctly predicted the Druzhba win.
The match finished 1–0, validating the model's directional assessment.
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 Under 2.5 (1 goals) ✔ Correct
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 Druzhba Druzhba ✔ Correct
- Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 1-0 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Druzhba | 41.9% | 48.4% | -6.5 pp | Market Higher |
| Draw | 29.3% | 30.0% | -0.7 pp | Aligned |
| Angust Nazran | 28.8% | 21.7% | +7.1 pp | Model Higher |
The statistical model estimates Angust Nazran's win probability at 28.8%, compared with the closing market's implied probability of 21.7%, a difference of 7.1 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: PRE5.
After full time, the model's directional lean matched the result (Druzhba win 1–0).
Market Assessment
The fair estimate shows a modest edge over current market pricing on Angust Nazran.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Under 2.5 goals aligned with the xG profile
- Exact score 1–0 fell within the model's highlighted bins
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Druzhba more conservatively (34.8% vs model 41.9%, 7.1 pp), but the model's lean was validated (Druzhba win 1–0).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 05, 2026 · 14:55 UTC Forecast generated
- Model 1X2 · Druzhba 41.9% · Draw 29.3% · Angust Nazran 28.8%
- xG · Druzhba 1.44 — Angust Nazran 1.16
-
Sep 05, 2026 · 14:31 UTC Opening odds snapshot PRE30
- 1X2 odds · Druzhba 1.86 · Draw 3.00 · Angust Nazran 4.15
- Implied 1X2 · Druzhba 48.4% · Draw 30.0% · Angust Nazran 21.7%
- Bookmaker · Marathonbet
-
Sep 05, 2026 · 14:55 UTC Closing snapshot recorded PRE5
- 1X2 odds · Druzhba 1.86 · Draw 3.00 · Angust Nazran 4.15
- Implied 1X2 · Druzhba 48.4% · Draw 30.0% · Angust Nazran 21.7%
- Bookmaker · Marathonbet
-
Sep 05, 2026 · 15:00 UTC Kickoff
-
FT Full-time result Druzhba win · 1–0
-
FT Prediction validated Directional lean matched 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
- No strong statistical edge
- 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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Second League - Group 1 — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Sevastopol | 21 | 16 | 2 | 3 | 50 |
| 2 | Shahter Taganrog | 21 | 14 | 4 | 3 | 46 |
| 3 | Rostov II | 21 | 14 | 4 | 3 | 46 |
| 4 | Rubin Yalta | 20 | 9 | 7 | 4 | 34 |
| 5 | Pobeda | 20 | 10 | 3 | 7 | 33 |
| 6 | Kyzyltash | 21 | 9 | 4 | 8 | 31 |
| 7 | Nart Cherkessk | 20 | 9 | 3 | 8 | 30 |
| 8 | Spartak Nalchik | 20 | 7 | 7 | 6 | 28 |
| 9 | Druzhba | 20 | 7 | 6 | 7 | 27 |
| 10 | Lugansk | 21 | 6 | 6 | 9 | 24 |
| 11 | Astrakhan | 20 | 5 | 5 | 10 | 20 |
| 12 | Izberbash | 21 | 6 | 0 | 15 | 18 |
| 13 | Angust Nazran | 20 | 4 | 4 | 12 | 16 |
| 14 | FK Chayka 2 | 21 | 4 | 2 | 15 | 14 |
| 15 | Dynamo Makhachkala II | 21 | 3 | 5 | 13 | 14 |
| 16 | PSK Dinskaya | 0 | 0 | 0 | 0 | 0 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Rostov II | 21 | 45 | 16 | +29 | 46 |
| 2 | Shahter Taganrog | 21 | 42 | 20 | +22 | 46 |
| 3 | Sevastopol | 21 | 38 | 17 | +21 | 50 |
| 4 | Pobeda | 20 | 38 | 27 | +11 | 33 |
| 5 | Kyzyltash | 21 | 36 | 30 | +6 | 31 |
| 6 | Rubin Yalta | 20 | 29 | 19 | +10 | 34 |
| 7 | Nart Cherkessk | 20 | 27 | 19 | +8 | 30 |
| 8 | Spartak Nalchik | 20 | 27 | 20 | +7 | 28 |
| 9 | Lugansk | 21 | 24 | 30 | -6 | 24 |
| 10 | Druzhba | 20 | 23 | 25 | -2 | 27 |
| 11 | Astrakhan | 20 | 22 | 32 | -10 | 20 |
| 12 | Dynamo Makhachkala II | 21 | 19 | 39 | -20 | 14 |
| 13 | Izberbash | 21 | 19 | 57 | -38 | 18 |
| 14 | FK Chayka 2 | 21 | 17 | 43 | -26 | 14 |
| 15 | Angust Nazran | 20 | 9 | 21 | -12 | 16 |
| 16 | PSK Dinskaya | 0 | 0 | 0 | 0 | 0 |