The model missed the final outcome (Adelaide Comets win 1–0).
The model had projected White City Woodville at 40.8%, 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 (1 goals) ✔ Correct
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 White City Woodville Adelaide Comets ✖ Incorrect
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-0 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Adelaide Comets | 31.5% | 28.8% | +2.6 pp | Aligned |
| Draw | 27.7% | 21.7% | +6.0 pp | Model Higher |
| White City Woodville | 40.8% | 49.5% | -8.7 pp | Market Higher |
The closing market estimates White City Woodville's win probability at 49.5%, compared with the model's estimate of 40.8%, a difference of 8.7 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 result was Adelaide Comets win 1–0.
Market Assessment
The market and model broadly agree on White City Woodville. 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
- Under 2.5 goals aligned with the xG profile
- Exact score 1–0 fell within the model's highlighted bins
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- 1X2: model leaned White City Woodville; match finished Adelaide Comets
Market lesson
The closing market differed from the model on White City Woodville by 8.7 percentage points (49.5% vs model 40.8%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Jul 25, 2026 · 19:32 UTC Forecast generated
- Model 1X2 · Adelaide Comets 31.5% · Draw 27.7% · White City Woodville 40.8%
- xG · Adelaide Comets 1.25 — White City Woodville 1.35
-
Jul 25, 2026 · 05:00 UTC Opening odds snapshot PRE30
- 1X2 odds · Adelaide Comets 3.18 · Draw 4.23 · White City Woodville 1.85
- Implied 1X2 · Adelaide Comets 28.8% · Draw 21.7% · White City Woodville 49.5%
- Bookmaker · Pinnacle
-
Jul 25, 2026 · 05:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · Adelaide Comets 3.18 · Draw 4.23 · White City Woodville 1.85
- Implied 1X2 · Adelaide Comets 28.8% · Draw 21.7% · White City Woodville 49.5%
- Bookmaker · Pinnacle
-
Jul 25, 2026 · 05:30 UTC Kickoff
-
FT Full-time result Adelaide Comets win · 1–0
-
FT Prediction missed 1X2 lean did not match 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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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 |