AI correctly predicted the North Star 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 North Star North Star ✔ Correct
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| North Star | 37.5% | 39.8% | -2.3 pp | Aligned |
| Draw | 29.6% | 21.2% | +8.4 pp | Model Higher |
| Caboolture | 32.9% | 39.0% | -6.1 pp | Market Higher |
The statistical model estimates Draw's win probability at 29.6%, compared with the closing market's implied probability of 21.2%, a difference of 8.4 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 (North Star win 2–1).
Market Assessment
The fair estimate shows a modest edge over current market pricing on Draw.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.60) — 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 North Star more conservatively (29.1% vs model 37.5%, 8.4 pp), but the model's lean was validated (North Star win 2–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 15, 2026 · 06:14 UTC Forecast generated
- Model 1X2 · North Star 37.6% · Draw 29.6% · Caboolture 32.9%
- xG · North Star 1.35 — Caboolture 1.25
-
Aug 15, 2026 · 05:44 UTC Opening odds snapshot PRE30
- 1X2 odds · North Star 2.30 · Draw 4.33 · Caboolture 2.35
- Implied 1X2 · North Star 39.8% · Draw 21.2% · Caboolture 39.0%
- Bookmaker · Pinnacle
-
Aug 15, 2026 · 06:14 UTC Closing snapshot recorded PRE1
- 1X2 odds · North Star 2.30 · Draw 4.33 · Caboolture 2.35
- Implied 1X2 · North Star 39.8% · Draw 21.2% · Caboolture 39.0%
- Bookmaker · Pinnacle
-
Aug 15, 2026 · 06:15 UTC Kickoff
-
FT Full-time result North Star 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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Queensland Premier League — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Brisbane Strikers | 22 | 17 | 3 | 2 | 54 |
| 2 | Broadbeach United | 22 | 16 | 4 | 2 | 52 |
| 3 | SC Wanderers | 22 | 10 | 7 | 5 | 37 |
| 4 | Ipswich | 22 | 10 | 5 | 7 | 35 |
| 5 | Robina City | 22 | 9 | 5 | 8 | 32 |
| 6 | Caboolture | 22 | 9 | 4 | 9 | 31 |
| 7 | Redlands United | 22 | 8 | 6 | 8 | 30 |
| 8 | Holland Park Hawks | 22 | 9 | 3 | 10 | 30 |
| 9 | Logan Lightning | 22 | 8 | 3 | 11 | 27 |
| 10 | North Star | 22 | 6 | 3 | 13 | 21 |
| 11 | St George Willawong | 22 | 4 | 1 | 17 | 13 |
| 12 | Capalaba | 22 | 3 | 2 | 17 | 11 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Brisbane Strikers | 22 | 52 | 18 | +34 | 54 |
| 2 | Broadbeach United | 22 | 51 | 20 | +31 | 52 |
| 3 | SC Wanderers | 22 | 46 | 28 | +18 | 37 |
| 4 | Caboolture | 22 | 45 | 38 | +7 | 31 |
| 5 | Redlands United | 22 | 40 | 38 | +2 | 30 |
| 6 | Holland Park Hawks | 22 | 40 | 48 | -8 | 30 |
| 7 | Logan Lightning | 22 | 39 | 41 | -2 | 27 |
| 8 | Robina City | 22 | 36 | 29 | +7 | 32 |
| 9 | Ipswich | 22 | 35 | 30 | +5 | 35 |
| 10 | North Star | 22 | 22 | 41 | -19 | 21 |
| 11 | Capalaba | 22 | 21 | 57 | -36 | 11 |
| 12 | St George Willawong | 22 | 13 | 52 | -39 | 13 |
