AI correctly predicted the Sutherland Sharks 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 Sutherland Sharks Sutherland Sharks ✔ Correct
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Sutherland Sharks | 37.0% | 49.4% | -12.5 pp | Market Higher |
| Draw | 28.6% | 24.8% | +3.8 pp | Aligned |
| Wollongong Wolves | 34.5% | 25.8% | +8.6 pp | Model Higher |
The closing market estimates Sutherland Sharks's win probability at 49.4%, compared with the model's estimate of 37.0%, a difference of 12.5 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 (Sutherland Sharks win 2–1).
Market Assessment
The market is materially more optimistic about Sutherland Sharks 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
- 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 Sutherland Sharks higher (49.5% vs model 37.0%, 12.5 pp), but the model's lean was validated (Sutherland Sharks win 2–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 02, 2026 · 00:10 UTC Forecast generated
- Model 1X2 · Sutherland Sharks 36.9% · Draw 28.6% · Wollongong Wolves 34.5%
- xG · Sutherland Sharks 1.24 — Wollongong Wolves 1.36
-
Aug 01, 2026 · 05:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Sutherland Sharks 1.85 · Draw 3.69 · Wollongong Wolves 3.54
- Implied 1X2 · Sutherland Sharks 49.4% · Draw 24.8% · Wollongong Wolves 25.8%
- Bookmaker · Pinnacle
-
Aug 01, 2026 · 05:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Sutherland Sharks 1.85 · Draw 3.69 · Wollongong Wolves 3.54
- Implied 1X2 · Sutherland Sharks 49.4% · Draw 24.8% · Wollongong Wolves 25.8%
- Bookmaker · Pinnacle
-
Aug 01, 2026 · 06:00 UTC Kickoff
-
FT Full-time result Sutherland Sharks 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: Warning
- Large market gap (12 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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New South Wales NPL — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | APIA Leichhardt Tigers | 30 | 21 | 5 | 4 | 68 |
| 2 | Sydney United | 30 | 20 | 4 | 6 | 64 |
| 3 | Marconi Stallions | 30 | 19 | 5 | 6 | 62 |
| 4 | Sutherland Sharks | 30 | 14 | 4 | 12 | 46 |
| 5 | Manly United | 30 | 12 | 8 | 10 | 44 |
| 6 | Rockdale City Suns | 30 | 13 | 4 | 13 | 43 |
| 7 | NWS Spirit | 30 | 12 | 5 | 13 | 41 |
| 8 | SD Raiders | 30 | 12 | 5 | 13 | 41 |
| 9 | Sydney II | 30 | 11 | 8 | 11 | 41 |
| 10 | Western Sydney W. II | 30 | 11 | 5 | 14 | 38 |
| 11 | Wollongong Wolves | 30 | 11 | 5 | 14 | 38 |
| 12 | St George City FA | 30 | 10 | 7 | 13 | 37 |
| 13 | Blacktown City | 30 | 8 | 8 | 14 | 32 |
| 14 | UNSW | 30 | 9 | 5 | 16 | 32 |
| 15 | St. George Saints | 30 | 8 | 3 | 19 | 27 |
| 16 | Sydney Olympic | 30 | 6 | 5 | 19 | 23 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | APIA Leichhardt Tigers | 30 | 66 | 35 | +31 | 68 |
| 2 | Western Sydney W. II | 30 | 55 | 49 | +6 | 38 |
| 3 | Marconi Stallions | 30 | 50 | 22 | +28 | 62 |
| 4 | Rockdale City Suns | 30 | 48 | 42 | +6 | 43 |
| 5 | Sydney United | 30 | 47 | 20 | +27 | 64 |
| 6 | Sutherland Sharks | 30 | 46 | 38 | +8 | 46 |
| 7 | SD Raiders | 30 | 44 | 49 | -5 | 41 |
| 8 | Blacktown City | 30 | 41 | 48 | -7 | 32 |
| 9 | Manly United | 30 | 39 | 35 | +4 | 44 |
| 10 | Sydney II | 30 | 38 | 43 | -5 | 41 |
| 11 | UNSW | 30 | 38 | 49 | -11 | 32 |
| 12 | NWS Spirit | 30 | 37 | 38 | -1 | 41 |
| 13 | Wollongong Wolves | 30 | 35 | 43 | -8 | 38 |
| 14 | Sydney Olympic | 30 | 32 | 62 | -30 | 23 |
| 15 | St George City FA | 30 | 30 | 46 | -16 | 37 |
| 16 | St. George Saints | 30 | 28 | 55 | -27 | 27 |