The model missed the final outcome (South Melbourne win 2–1).
The model had projected Heidelberg United at 40.9%, 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 Over 2.5 (3 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Heidelberg United South Melbourne ✖ Incorrect
- Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 2-1 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| South Melbourne | 29.7% | 44.7% | -15.0 pp | Market Higher |
| Draw | 29.4% | 25.8% | +3.6 pp | Aligned |
| Heidelberg United | 40.9% | 29.5% | +11.4 pp | Model Edge |
The closing market estimates South Melbourne's win probability at 44.7%, compared with the model's estimate of 29.7%, a difference of 15.0 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 South Melbourne win 2–1.
Market Assessment
The market is materially more optimistic about South Melbourne than the current fair estimate.
- Investors may be incorporating information not fully reflected in the baseline model.
- Tournament-specific context can shift market pricing.
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
What failed
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
- 1X2: model leaned Heidelberg United; match finished South Melbourne
Market lesson
The closing market differed from the model on Heidelberg United by 15.0 percentage points (55.9% vs model 40.9%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 06, 2026 · 06:59 UTC Forecast generated
- Model 1X2 · South Melbourne 29.6% · Draw 29.4% · Heidelberg United 41.0%
- xG · South Melbourne 1.18 — Heidelberg United 1.42
-
Sep 06, 2026 · 06:29 UTC Opening odds snapshot PRE30
- 1X2 odds · South Melbourne 2.05 · Draw 3.55 · Heidelberg United 3.10
- Implied 1X2 · South Melbourne 44.7% · Draw 25.8% · Heidelberg United 29.5%
- Bookmaker · Pinnacle
-
Sep 06, 2026 · 06:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · South Melbourne 2.05 · Draw 3.55 · Heidelberg United 3.10
- Implied 1X2 · South Melbourne 44.7% · Draw 25.8% · Heidelberg United 29.5%
- Bookmaker · Pinnacle
-
Sep 06, 2026 · 07:00 UTC Kickoff
-
FT Full-time result South Melbourne win · 2–1
-
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: Warning
- Large market gap (15 pp)
- No strong statistical edge
- Market has already priced much of the edge
- Validation warning
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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Victoria NPL — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Oakleigh Cannons | 26 | 16 | 6 | 4 | 54 |
| 2 | Preston Lions | 26 | 15 | 6 | 5 | 51 |
| 3 | Hume City | 26 | 15 | 4 | 7 | 49 |
| 4 | Avondale | 26 | 15 | 2 | 9 | 47 |
| 5 | South Melbourne | 26 | 13 | 2 | 11 | 41 |
| 6 | Heidelberg United | 26 | 11 | 7 | 8 | 40 |
| 7 | Sunshine Georgies | 26 | 9 | 11 | 6 | 38 |
| 8 | Dandenong City | 26 | 10 | 7 | 9 | 37 |
| 9 | St. Albans Saints | 26 | 9 | 7 | 10 | 34 |
| 10 | Melbourne City II | 26 | 8 | 6 | 12 | 30 |
| 11 | Altona Magic | 26 | 7 | 7 | 12 | 28 |
| 12 | Bentleigh Greens | 26 | 6 | 6 | 14 | 24 |
| 13 | Green Gully | 26 | 4 | 6 | 16 | 18 |
| 14 | Dandenong Thunder | 26 | 4 | 3 | 19 | 15 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Avondale | 26 | 65 | 34 | +31 | 47 |
| 2 | Oakleigh Cannons | 26 | 56 | 24 | +32 | 54 |
| 3 | Hume City | 26 | 51 | 36 | +15 | 49 |
| 4 | Heidelberg United | 26 | 42 | 34 | +8 | 40 |
| 5 | Melbourne City II | 26 | 42 | 42 | 0 | 30 |
| 6 | Preston Lions | 26 | 41 | 19 | +22 | 51 |
| 7 | South Melbourne | 26 | 39 | 36 | +3 | 41 |
| 8 | St. Albans Saints | 26 | 36 | 43 | -7 | 34 |
| 9 | Dandenong City | 26 | 35 | 31 | +4 | 37 |
| 10 | Sunshine Georgies | 26 | 35 | 34 | +1 | 38 |
| 11 | Altona Magic | 26 | 28 | 42 | -14 | 28 |
| 12 | Bentleigh Greens | 26 | 27 | 51 | -24 | 24 |
| 13 | Green Gully | 26 | 23 | 52 | -29 | 18 |
| 14 | Dandenong Thunder | 26 | 23 | 65 | -42 | 15 |