Predictions / Football / Australia. Queensland NPL / Eastern Suburbs vs WDSC Wolves

Prediction Audit: Eastern Suburbs vs WDSC Wolves Prediction, Odds & AI Betting Tips

Eastern Suburbs Eastern Suburbs
Aug 08, 2026 - 08:00
0 1.32
0 1.28
xG Accuracy: 49%
WDSC Wolves WDSC Wolves

The model missed the final outcome (Draw 0–0).

The model had projected Eastern Suburbs at 36.1%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

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 (0 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Eastern Suburbs Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-0 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The model rates Draw considerably stronger than the closing betting market.

Largest probability gap: Draw +9.7 pp

Outcome Model Closing Market Difference Signal
Eastern Suburbs 36.1% 44.2% -8.1 pp Market Higher
Draw 29.6% 20.0% +9.7 pp Model Higher
WDSC Wolves 34.2% 35.8% -1.5 pp Aligned

The statistical model estimates Draw's win probability at 29.6%, compared with the closing market's implied probability of 20.0%, a difference of 9.7 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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: PRE5.

After full time, the result was Draw 0–0.

Market Assessment

The fair estimate shows a modest edge over current market pricing on Draw.

  • Monitor line movement before kickoff — not a betting recommendation.

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 Eastern Suburbs; match finished Draw

Market lesson

The closing market differed from the model on Eastern Suburbs by 9.7 percentage points (26.4% vs model 36.1%) — in this case the market view proved closer.

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Aug 08, 2026 · 07:56 UTC Forecast generated
    • Model 1X2 · Eastern Suburbs 36.1% · Draw 29.7% · WDSC Wolves 34.2%
    • xG · Eastern Suburbs 1.32 — WDSC Wolves 1.28
  2. Aug 08, 2026 · 07:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Eastern Suburbs 2.07 · Draw 4.58 · WDSC Wolves 2.56
    • Implied 1X2 · Eastern Suburbs 44.2% · Draw 20.0% · WDSC Wolves 35.8%
    • Bookmaker · Pinnacle
  3. Aug 08, 2026 · 07:56 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Eastern Suburbs 2.07 · Draw 4.58 · WDSC Wolves 2.56
    • Implied 1X2 · Eastern Suburbs 44.2% · Draw 20.0% · WDSC Wolves 35.8%
    • Bookmaker · Pinnacle
  4. Aug 08, 2026 · 08:00 UTC Kickoff
  5. FT Full-time result Draw · 0–0
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 74/100 · High
  • Validation: Pass
Evidence ★★★★★
  • Statistical edge detected
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 51/100
Betting Confidence 77/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 02, 2026 · 00:58 UTC Snapshot ID: dp-2807978

Closing Odds 4.58
AI Fair Odds —
CLV Pending
Final Result Draw · Eastern Suburbs 0–0 WDSC Wolves
Prediction ✖ Missed
Decision Grade F

Model 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.

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Queensland NPL
  • Fixture: Eastern Suburbs vs WDSC Wolves
  • Kickoff: 2026-08-08 08:00:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Eastern Suburbs 1.32 — WDSC Wolves 1.28 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 29, 2026 (UTC)

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Queensland NPL Queensland NPL — Standings
# TEAM MP W D L PTS
1 Lions 22 17 2 3 53
2 Peninsula Power 22 13 6 3 45
3 Moreton City Excelsior 22 12 3 7 39
4 Gold Coast Knights 22 11 5 6 38
5 Brisbane City 22 9 7 6 34
6 WDSC Wolves 22 9 6 7 33
7 Eastern Suburbs 22 9 2 11 29
8 Olympic 22 8 2 12 26
9 Magic United 22 7 1 14 22
10 Rochedale Rovers 22 6 3 13 21
11 Gold Coast United 22 6 2 14 20
12 Brisbane Roar II 22 5 1 16 16
# TEAM MP GS GC +/- PTS
1 Lions 22 57 22 +35 53
2 Moreton City Excelsior 22 51 35 +16 39
3 Peninsula Power 22 49 27 +22 45
4 Brisbane City 22 47 48 -1 34
5 Gold Coast Knights 22 46 32 +14 38
6 Olympic 22 39 43 -4 26
7 WDSC Wolves 22 36 40 -4 33
8 Eastern Suburbs 22 34 35 -1 29
9 Rochedale Rovers 22 34 52 -18 21
10 Magic United 22 33 59 -26 22
11 Brisbane Roar II 22 32 52 -20 16
12 Gold Coast United 22 26 39 -13 20