The model missed the final outcome (West Torrens Birkalla win 2–0).
The model had projected MetroStars at 39.5%, but the full-time result went the other way.
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 Yes No ✖ Incorrect
- 1X2 MetroStars West Torrens Birkalla ✖ Incorrect
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-0 ✖ Incorrect
Post Match Insights
What worked
- Under 2.5 goals aligned with the xG profile
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- 1X2: model leaned MetroStars; match finished West Torrens Birkalla
Market lesson
The full-time result was West Torrens Birkalla win 2–0, which did not match the model's pre-match lean on 1X2.
Prediction Timeline
How this prediction moved from forecast to full-time review.
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Sep 05, 2026 · 09:29 UTC Forecast generated
- xG · West Torrens Birkalla 1.21 — MetroStars 1.39
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Sep 05, 2026 · 09:30 UTC Kickoff
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FT Full-time result West Torrens Birkalla win · 2–0
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FT Prediction missed 1X2 lean did not match full-time result
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Archived Prediction review
Historical Snapshot
Frozen at kickoff — the model output as it stood before the match started.
Pre-match metrics (historical context)
- Validation: Pending
- No strong statistical edge
- Market has already priced much of the edge
- Validation pending
Validation Report
Immutable SnapshotReview 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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South Australia NPL — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Adelaide City | 22 | 14 | 6 | 2 | 48 |
| 2 | West Torrens Birkalla | 22 | 14 | 3 | 5 | 45 |
| 3 | MetroStars | 22 | 13 | 5 | 4 | 44 |
| 4 | Playford City Patriots | 22 | 10 | 5 | 7 | 35 |
| 5 | White City Woodville | 22 | 10 | 3 | 9 | 33 |
| 6 | Croydon Kings | 22 | 8 | 6 | 8 | 30 |
| 7 | Adelaide United II | 22 | 7 | 8 | 7 | 29 |
| 8 | Campbelltown City | 22 | 8 | 5 | 9 | 29 |
| 9 | Sturt Lions | 22 | 8 | 3 | 11 | 27 |
| 10 | West Adelaide | 22 | 6 | 7 | 9 | 25 |
| 11 | Adelaide Comets | 22 | 5 | 5 | 12 | 20 |
| 12 | Para Hills Knights | 22 | 0 | 2 | 20 | 2 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | West Torrens Birkalla | 22 | 54 | 29 | +25 | 45 |
| 2 | MetroStars | 22 | 53 | 23 | +30 | 44 |
| 3 | Croydon Kings | 22 | 46 | 41 | +5 | 30 |
| 4 | Adelaide City | 22 | 44 | 16 | +28 | 48 |
| 5 | Playford City Patriots | 22 | 42 | 31 | +11 | 35 |
| 6 | West Adelaide | 22 | 40 | 44 | -4 | 25 |
| 7 | White City Woodville | 22 | 35 | 30 | +5 | 33 |
| 8 | Campbelltown City | 22 | 35 | 36 | -1 | 29 |
| 9 | Sturt Lions | 22 | 35 | 36 | -1 | 27 |
| 10 | Adelaide United II | 22 | 33 | 32 | +1 | 29 |
| 11 | Adelaide Comets | 22 | 25 | 38 | -13 | 20 |
| 12 | Para Hills Knights | 22 | 16 | 102 | -86 | 2 |