AI correctly predicted the Kaizer Chiefs win.
The match finished 0–1, 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 (1 goals) ✔ Correct
- Both Teams To Score BTTS No No ✔ Correct
- 1X2 Kaizer Chiefs Kaizer Chiefs ✔ Correct
- Correct Score Insights 0-1, 0-0, 0-2, 1-1, 1-0 0-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Amazulu | 14.2% | 23.4% | -9.2 pp | Market Higher |
| Draw | 30.4% | 30.4% | +0.1 pp | Aligned |
| Kaizer Chiefs | 55.4% | 46.2% | +9.2 pp | Model Higher |
The closing market estimates Amazulu's win probability at 23.4%, compared with the model's estimate of 14.2%, a difference of 9.2 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 (Kaizer Chiefs win 0–1).
Market Assessment
The market and model broadly agree on Amazulu. 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 1.99, 1 goals)
- Kaizer Chiefs attacking xG significantly stronger (1.40 vs 0.59)
- Both Teams To Score (No) matched the full-time result
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Kaizer Chiefs higher (64.6% vs model 55.4%, 9.2 pp), but the model's lean was validated (Kaizer Chiefs win 0–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
May 16, 2026 · 12:59 UTC Forecast generated
- Model 1X2 · Amazulu 14.2% · Draw 30.5% · Kaizer Chiefs 55.3%
- xG · Amazulu 0.59 — Kaizer Chiefs 1.40
-
May 16, 2026 · 12:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Amazulu 4.06 · Draw 3.13 · Kaizer Chiefs 2.06
- Implied 1X2 · Amazulu 23.4% · Draw 30.4% · Kaizer Chiefs 46.2%
- Bookmaker · Pinnacle
-
May 16, 2026 · 12:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Amazulu 4.06 · Draw 3.13 · Kaizer Chiefs 2.06
- Implied 1X2 · Amazulu 23.4% · Draw 30.4% · Kaizer Chiefs 46.2%
- Bookmaker · Pinnacle
-
May 16, 2026 · 13:00 UTC Kickoff
-
FT Full-time result Kaizer Chiefs win · 0–1
-
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
- Moderate model lean
- 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 Soccer League — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Orlando Pirates | 30 | 21 | 6 | 3 | 69 |
| 2 | Mamelodi Sundowns | 30 | 20 | 8 | 2 | 68 |
| 3 | Kaizer Chiefs | 30 | 15 | 9 | 6 | 54 |
| 4 | Amazulu | 30 | 13 | 8 | 9 | 47 |
| 5 | Sekhukhune United | 30 | 11 | 11 | 8 | 44 |
| 6 | Golden Arrows | 30 | 11 | 8 | 11 | 41 |
| 7 | Polokwane City | 30 | 9 | 13 | 8 | 40 |
| 8 | Durban City | 30 | 10 | 9 | 11 | 39 |
| 9 | Stellenbosch | 30 | 9 | 10 | 11 | 37 |
| 10 | Siwelele | 30 | 8 | 13 | 9 | 37 |
| 11 | Richards Bay | 30 | 7 | 13 | 10 | 34 |
| 12 | TS Galaxy | 30 | 8 | 8 | 14 | 32 |
| 13 | Chippa United | 30 | 6 | 10 | 14 | 28 |
| 14 | Marumo Gallants | 30 | 4 | 13 | 13 | 25 |
| 15 | Magesi | 30 | 5 | 9 | 16 | 24 |
| 16 | Orbit College | 30 | 6 | 6 | 18 | 24 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Orlando Pirates | 30 | 58 | 12 | +46 | 69 |
| 2 | Mamelodi Sundowns | 30 | 57 | 21 | +36 | 68 |
| 3 | Golden Arrows | 30 | 34 | 33 | +1 | 41 |
| 4 | Kaizer Chiefs | 30 | 33 | 19 | +14 | 54 |
| 5 | Sekhukhune United | 30 | 32 | 27 | +5 | 44 |
| 6 | Amazulu | 30 | 32 | 28 | +4 | 47 |
| 7 | TS Galaxy | 30 | 30 | 38 | -8 | 32 |
| 8 | Stellenbosch | 30 | 26 | 30 | -4 | 37 |
| 9 | Durban City | 30 | 25 | 26 | -1 | 39 |
| 10 | Siwelele | 30 | 24 | 28 | -4 | 37 |
| 11 | Magesi | 30 | 24 | 43 | -19 | 24 |
| 12 | Chippa United | 30 | 24 | 44 | -20 | 28 |
| 13 | Richards Bay | 30 | 23 | 30 | -7 | 34 |
| 14 | Polokwane City | 30 | 21 | 21 | 0 | 40 |
| 15 | Marumo Gallants | 30 | 21 | 38 | -17 | 25 |
| 16 | Orbit College | 30 | 21 | 47 | -26 | 24 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Kaizer Chiefs | 30 | 20.7 | 10.5 | +10.2 | 54 |
| 2 | Orlando Pirates | 30 | 16.4 | 7.7 | +8.7 | 69 |
| 3 | Mamelodi Sundowns | 30 | 19.2 | 11.2 | +8.0 | 68 |
| 4 | Magesi | 30 | 16.1 | 13.2 | +2.9 | 24 |
| 5 | Sekhukhune United | 30 | 16.9 | 14.2 | +2.7 | 44 |
| 6 | Durban City | 30 | 15.7 | 13.6 | +2.1 | 39 |
| 7 | Polokwane City | 30 | 14.0 | 12.2 | +1.8 | 40 |
| 8 | Stellenbosch | 30 | 15.0 | 14.6 | +0.4 | 37 |
| 9 | Richards Bay | 30 | 14.7 | 15.4 | -0.7 | 34 |
| 10 | Siwelele | 30 | 14.2 | 15.8 | -1.6 | 37 |
| 11 | Marumo Gallants | 30 | 11.8 | 15.6 | -3.8 | 25 |
| 12 | TS Galaxy | 30 | 16.6 | 21.2 | -4.6 | 32 |
| 13 | Golden Arrows | 30 | 15.2 | 20.4 | -5.2 | 41 |
| 14 | Amazulu | 30 | 12.8 | 18.1 | -5.3 | 47 |
| 15 | Orbit College | 30 | 12.2 | 19.1 | -6.9 | 24 |
| 16 | Chippa United | 30 | 11.4 | 20.4 | -9.0 | 28 |