AI correctly predicted the Monaro Panthers win.
The match finished 0–3, 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 No ✖ Incorrect
- 1X2 Monaro Panthers Monaro Panthers ✔ Correct
- Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 0-3 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Canberra Juventus | 26.6% | 20.4% | +6.2 pp | Model Higher |
| Draw | 26.5% | 19.2% | +7.3 pp | Model Higher |
| Monaro Panthers | 46.9% | 60.4% | -13.5 pp | Market Higher |
The closing market estimates Monaro Panthers's win probability at 60.4%, compared with the model's estimate of 46.9%, a difference of 13.5 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 (Monaro Panthers win 0–3).
Market Assessment
The market is materially more optimistic about Monaro Panthers 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
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- 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 Monaro Panthers higher (60.4% vs model 46.9%, 13.5 pp), but the model's lean was validated (Monaro Panthers win 0–3).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Jul 26, 2026 · 19:18 UTC Forecast generated
- Model 1X2 · Canberra Juventus 26.6% · Draw 26.5% · Monaro Panthers 46.9%
- xG · Canberra Juventus 1.18 — Monaro Panthers 1.42
-
Jul 26, 2026 · 05:59 UTC Opening odds snapshot PRE30
- 1X2 odds · Canberra Juventus 4.35 · Draw 4.62 · Monaro Panthers 1.47
- Implied 1X2 · Canberra Juventus 20.4% · Draw 19.2% · Monaro Panthers 60.4%
- Bookmaker · Pinnacle
-
Jul 26, 2026 · 06:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · Canberra Juventus 4.35 · Draw 4.62 · Monaro Panthers 1.47
- Implied 1X2 · Canberra Juventus 20.4% · Draw 19.2% · Monaro Panthers 60.4%
- Bookmaker · Pinnacle
-
Jul 26, 2026 · 06:30 UTC Kickoff
-
FT Full-time result Monaro Panthers win · 0–3
-
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 (14 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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Capital Territory NPL — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Canberra FC | 20 | 17 | 1 | 2 | 52 |
| 2 | Monaro Panthers | 20 | 15 | 1 | 4 | 46 |
| 3 | Cooma Tigers FC | 20 | 14 | 2 | 4 | 44 |
| 4 | Tuggeranong United | 20 | 14 | 0 | 6 | 42 |
| 5 | Queanbeyan City | 20 | 12 | 2 | 6 | 38 |
| 6 | Canberra Juventus | 20 | 11 | 0 | 9 | 33 |
| 7 | Canberra Olympic | 20 | 7 | 2 | 11 | 23 |
| 8 | O'Connor Knights | 20 | 6 | 2 | 12 | 20 |
| 9 | Belconnen United | 20 | 2 | 3 | 15 | 9 |
| 10 | Brindabella | 20 | 3 | 0 | 17 | 9 |
| 11 | Canberra White Eagles | 20 | 2 | 1 | 17 | 7 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Monaro Panthers | 20 | 71 | 26 | +45 | 46 |
| 2 | Canberra FC | 20 | 64 | 24 | +40 | 52 |
| 3 | Cooma Tigers FC | 20 | 59 | 24 | +35 | 44 |
| 4 | Tuggeranong United | 20 | 49 | 39 | +10 | 42 |
| 5 | Canberra Olympic | 20 | 45 | 55 | -10 | 23 |
| 6 | Queanbeyan City | 20 | 42 | 28 | +14 | 38 |
| 7 | Canberra Juventus | 20 | 39 | 39 | 0 | 33 |
| 8 | Belconnen United | 20 | 25 | 50 | -25 | 9 |
| 9 | O'Connor Knights | 20 | 24 | 39 | -15 | 20 |
| 10 | Canberra White Eagles | 20 | 17 | 60 | -43 | 7 |
| 11 | Brindabella | 20 | 15 | 66 | -51 | 9 |