AI correctly predicted the PSM Makassar win.
The match finished 2–1, 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 Over 2.5 (3 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 PSM Makassar PSM Makassar ✔ Correct
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| PSM Makassar | 41.8% | 49.5% | -7.7 pp | Market Higher |
| Draw | 25.7% | 27.1% | -1.5 pp | Aligned |
| Bhayangkara FC | 32.6% | 23.4% | +9.2 pp | Model Higher |
The statistical model estimates Bhayangkara FC's win probability at 32.6%, compared with the closing market's implied probability of 23.4%, a difference of 9.2 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 model's directional lean matched the result (PSM Makassar win 2–1).
Market Assessment
The fair estimate shows a modest edge over current market pricing on Bhayangkara FC.
- 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
- Both Teams To Score (Yes) matched the full-time result
- Exact score 2–1 fell within the model's highlighted bins
What failed
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced PSM Makassar more conservatively (32.6% vs model 41.8%, 9.2 pp), but the model's lean was validated (PSM Makassar win 2–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
May 04, 2026 · 08:29 UTC Forecast generated
- Model 1X2 · PSM Makassar 41.8% · Draw 25.7% · Bhayangkara FC 32.6%
- xG · PSM Makassar 1.45 — Bhayangkara FC 1.25
-
May 04, 2026 · 07:59 UTC Opening odds snapshot PRE30
- 1X2 odds · PSM Makassar 1.92 · Draw 3.50 · Bhayangkara FC 4.07
- Implied 1X2 · PSM Makassar 49.5% · Draw 27.1% · Bhayangkara FC 23.4%
- Bookmaker · Pinnacle
-
May 04, 2026 · 08:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · PSM Makassar 1.92 · Draw 3.50 · Bhayangkara FC 4.07
- Implied 1X2 · PSM Makassar 49.5% · Draw 27.1% · Bhayangkara FC 23.4%
- Bookmaker · Pinnacle
-
May 04, 2026 · 08:30 UTC Kickoff
-
FT Full-time result PSM Makassar win · 2–1
-
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
- 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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Liga 1 — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Persib Bandung | 34 | 24 | 7 | 3 | 79 |
| 2 | Pusamania Borneo | 34 | 25 | 4 | 5 | 79 |
| 3 | Persija | 34 | 22 | 5 | 7 | 71 |
| 4 | Persebaya Surabaya | 34 | 16 | 10 | 8 | 58 |
| 5 | Bhayangkara FC | 34 | 16 | 5 | 13 | 53 |
| 6 | Malut United | 34 | 15 | 8 | 11 | 53 |
| 7 | Dewa United | 34 | 16 | 5 | 13 | 53 |
| 8 | Bali United | 34 | 14 | 9 | 11 | 51 |
| 9 | Arema FC | 34 | 13 | 9 | 12 | 48 |
| 10 | Persita | 34 | 13 | 6 | 15 | 45 |
| 11 | PSIM Yogyakarta | 34 | 11 | 12 | 11 | 45 |
| 12 | Persik Kediri | 34 | 11 | 6 | 17 | 39 |
| 13 | Persijap | 34 | 9 | 9 | 16 | 36 |
| 14 | Persepam Madura Utd | 34 | 9 | 8 | 17 | 35 |
| 15 | PSM Makassar | 34 | 8 | 10 | 16 | 34 |
| 16 | Persis Solo | 34 | 8 | 10 | 16 | 34 |
| 17 | Semen Padang | 34 | 5 | 5 | 24 | 20 |
| 18 | PSBS Biak Numfor | 34 | 4 | 6 | 24 | 18 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Pusamania Borneo | 34 | 74 | 31 | +43 | 79 |
| 2 | Malut United | 34 | 68 | 53 | +15 | 53 |
| 3 | Persija | 34 | 65 | 29 | +36 | 71 |
| 4 | Persebaya Surabaya | 34 | 61 | 35 | +26 | 58 |
| 5 | Persib Bandung | 34 | 59 | 22 | +37 | 79 |
| 6 | Bali United | 34 | 57 | 48 | +9 | 51 |
| 7 | Bhayangkara FC | 34 | 53 | 45 | +8 | 53 |
| 8 | Arema FC | 34 | 53 | 47 | +6 | 48 |
| 9 | Dewa United | 34 | 44 | 37 | +7 | 53 |
| 10 | PSIM Yogyakarta | 34 | 43 | 44 | -1 | 45 |
| 11 | Persik Kediri | 34 | 42 | 61 | -19 | 39 |
| 12 | PSM Makassar | 34 | 39 | 49 | -10 | 34 |
| 13 | Persis Solo | 34 | 39 | 59 | -20 | 34 |
| 14 | Persita | 34 | 38 | 37 | +1 | 45 |
| 15 | Persepam Madura Utd | 34 | 37 | 54 | -17 | 35 |
| 16 | Persijap | 34 | 31 | 45 | -14 | 36 |
| 17 | PSBS Biak Numfor | 34 | 31 | 95 | -64 | 18 |
| 18 | Semen Padang | 34 | 22 | 65 | -43 | 20 |