AI correctly predicted the Draw.
The match finished 1–1, 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 (2 goals) ✔ Correct
- Both Teams To Score BTTS No Yes ✖ Incorrect
- 1X2 Draw Draw ✔ Correct
- Correct Score Insights 0-0, 1-0, 0-1, 1-1, 2-0 1-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Sidama Bunna | 34.4% | 39.6% | -5.2 pp | Market Higher |
| Draw | 36.4% | 33.9% | +2.5 pp | Aligned |
| Negelle Arsi | 29.2% | 26.6% | +2.7 pp | Aligned |
The closing market estimates Sidama Bunna's win probability at 39.6%, compared with the model's estimate of 34.4%, a difference of 5.2 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: PRE1.
After full time, the model's directional lean matched the result (Draw 1–1).
Market Assessment
The market and model broadly agree on Sidama Bunna. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Low-scoring profile materialised (ΣxG 1.71, 2 goals)
- Under 2.5 goals aligned with the xG profile
- Exact score 1–1 fell within the model's highlighted bins
What failed
- Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Draw higher (41.5% vs model 36.4%, 5.2 pp), but the model's lean was validated (Draw 1–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Jun 20, 2026 · 20:12 UTC Forecast generated
- Model 1X2 · Sidama Bunna 34.4% · Draw 36.4% · Negelle Arsi 29.2%
- xG · Sidama Bunna 0.87 — Negelle Arsi 0.84
-
Jun 20, 2026 · 12:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Sidama Bunna 2.31 · Draw 2.70 · Negelle Arsi 3.44
- Implied 1X2 · Sidama Bunna 39.6% · Draw 33.9% · Negelle Arsi 26.6%
- Bookmaker · Pinnacle
-
Jun 20, 2026 · 12:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Sidama Bunna 2.31 · Draw 2.70 · Negelle Arsi 3.44
- Implied 1X2 · Sidama Bunna 39.6% · Draw 33.9% · Negelle Arsi 26.6%
- Bookmaker · Pinnacle
-
Jun 20, 2026 · 13:00 UTC Kickoff
-
FT Full-time result Draw · 1–1
-
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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Premier League — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Sidama Bunna | 38 | 19 | 11 | 8 | 68 |
| 2 | Negelle Arsi | 38 | 15 | 15 | 8 | 60 |
| 3 | Mekelakeya | 38 | 14 | 15 | 9 | 57 |
| 4 | Fasil Ketema | 38 | 14 | 13 | 11 | 55 |
| 5 | Mebrat Hayl | 38 | 13 | 15 | 10 | 54 |
| 6 | Kedus Giorgis | 38 | 14 | 12 | 12 | 54 |
| 7 | Welayta Dicha | 38 | 11 | 18 | 9 | 51 |
| 8 | Ethiopia Bunna | 38 | 13 | 12 | 13 | 51 |
| 9 | Awassa Kenema | 38 | 12 | 14 | 12 | 50 |
| 10 | Sheger Ketema | 38 | 11 | 17 | 10 | 50 |
| 11 | Bahardar | 38 | 9 | 21 | 8 | 48 |
| 12 | Hadiya Hosaena | 38 | 11 | 15 | 12 | 48 |
| 13 | Ethiopia Nigd Bank | 38 | 11 | 14 | 13 | 47 |
| 14 | Ethiopian Medhin | 38 | 10 | 16 | 12 | 46 |
| 15 | Adama Kenema | 38 | 10 | 16 | 12 | 46 |
| 16 | Welwalo Adigrat Uni | 38 | 10 | 16 | 12 | 46 |
| 17 | Suhul Shire | 38 | 9 | 15 | 14 | 42 |
| 18 | Dire Dawa Kenema | 38 | 9 | 15 | 14 | 42 |
| 19 | Wolkite Ketema | 0 | 0 | 0 | 0 | 0 |
| 19 | Mekelle Kenema | 38 | 8 | 16 | 14 | 40 |
| 20 | Arba Minch Kenema | 38 | 7 | 14 | 17 | 35 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Ethiopia Nigd Bank | 38 | 45 | 45 | 0 | 47 |
| 2 | Mekelakeya | 38 | 44 | 31 | +13 | 57 |
| 3 | Sidama Bunna | 38 | 43 | 23 | +20 | 68 |
| 4 | Ethiopia Bunna | 38 | 40 | 39 | +1 | 51 |
| 5 | Negelle Arsi | 38 | 37 | 30 | +7 | 60 |
| 6 | Welayta Dicha | 38 | 37 | 31 | +6 | 51 |
| 7 | Awassa Kenema | 38 | 37 | 32 | +5 | 50 |
| 8 | Adama Kenema | 38 | 35 | 39 | -4 | 46 |
| 9 | Sheger Ketema | 38 | 34 | 31 | +3 | 50 |
| 10 | Kedus Giorgis | 38 | 33 | 31 | +2 | 54 |
| 11 | Mebrat Hayl | 38 | 32 | 26 | +6 | 54 |
| 12 | Welwalo Adigrat Uni | 38 | 32 | 36 | -4 | 46 |
| 13 | Hadiya Hosaena | 38 | 31 | 35 | -4 | 48 |
| 14 | Ethiopian Medhin | 38 | 30 | 31 | -1 | 46 |
| 15 | Arba Minch Kenema | 38 | 30 | 46 | -16 | 35 |
| 16 | Fasil Ketema | 38 | 28 | 28 | 0 | 55 |
| 17 | Bahardar | 38 | 28 | 28 | 0 | 48 |
| 18 | Dire Dawa Kenema | 38 | 27 | 41 | -14 | 42 |
| 19 | Mekelle Kenema | 38 | 26 | 38 | -12 | 40 |
| 20 | Suhul Shire | 38 | 24 | 32 | -8 | 42 |
| 21 | Wolkite Ketema | 0 | 0 | 0 | 0 | 0 |