Prediction Audit: Durban City vs Stellenbosch Prediction, Odds & AI Betting Tips

Sep 01, 2026 - 17:30
0 1.21
0 0.76
xG Accuracy: 58%

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

The model had projected Durban City at 43.1%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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 No No ✔ Correct
  • 1X2 Durban City Draw ✖ Incorrect
  • Correct Score Insights 1-0, 0-0, 1-1, 0-1, 2-0 0-0 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The closing market prices Stellenbosch higher than the statistical model.

Largest probability gap: Stellenbosch -9.4 pp

Outcome Model Closing Market Difference Signal
Durban City 43.1% 34.4% +8.7 pp Model Higher
Draw 33.2% 32.4% +0.8 pp Aligned
Stellenbosch 23.8% 33.2% -9.4 pp Market Higher

The closing market estimates Stellenbosch's win probability at 33.2%, compared with the model's estimate of 23.8%, a difference of 9.4 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 Draw 0–0.

Market Assessment

The market and model broadly agree on Stellenbosch. 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

  • Low-scoring profile materialised (ΣxG 1.97, 0 goals)
  • Both Teams To Score (No) matched the full-time result
  • Under 2.5 goals aligned with the xG profile

What failed

  • 1X2: model leaned Durban City; match finished Draw

Market lesson

The closing market differed from the model on Durban City by 9.4 percentage points (52.5% vs model 43.1%) — 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. Sep 01, 2026 · 19:14 UTC Forecast generated
    • Model 1X2 · Durban City 43.1% · Draw 33.2% · Stellenbosch 23.7%
    • xG · Durban City 1.21 — Stellenbosch 0.76
  2. Sep 01, 2026 · 17:00 UTC Opening odds snapshot PRE30
    • 1X2 odds · Durban City 2.64 · Draw 2.94 · Stellenbosch 2.73
    • Implied 1X2 · Durban City 34.9% · Draw 31.3% · Stellenbosch 33.8%
    • Bookmaker · Pinnacle
  3. Sep 01, 2026 · 17:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Durban City 2.73 · Draw 2.90 · Stellenbosch 2.83
    • Implied 1X2 · Durban City 34.4% · Draw 32.4% · Stellenbosch 33.2%
    • Bookmaker · Pinnacle
  4. Sep 01, 2026 · 17:30 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 ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 52/100
Betting Confidence 77/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 26, 2026 · 02:22 UTC Snapshot ID: dp-5504434

Closing Odds 2.83
AI Fair Odds —
CLV Pending
Final Result Draw · Durban City 0–0 Stellenbosch
Prediction ✖ Missed
Decision Grade C

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: Premier Soccer League
  • Fixture: Durban City vs Stellenbosch
  • Kickoff: 2026-09-01 17:30:00
  • 1X2 (model): Home 43.1% · Draw 33.2% · Away 23.7%
  • xG (showing): Durban City 1.21 — Stellenbosch 0.76 (total xG ≈ 1.97)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 68.5% · Over 2.5 31.5%); BTTS No (Yes 39.0% · No 61.0%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 39.0% · No 61.0%
  • Correct score (top bin): 1-0 (16.9%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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 30, 2026 (UTC)

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Premier Soccer League Premier Soccer League — Standings
# TEAM MP W D L PTS
1 Mamelodi Sundowns 8 6 2 0 20
2 Orlando Pirates 7 6 1 0 19
3 Amazulu 7 5 1 1 16
4 Kaizer Chiefs 7 3 4 0 13
5 Milford FC 8 3 3 2 12
6 Sekhukhune United 7 3 2 2 11
7 Stellenbosch 7 2 3 2 9
8 Golden Arrows 7 1 5 1 8
9 Chippa United 7 1 5 1 8
10 Durban City 7 1 4 2 7
11 Polokwane City 7 1 4 2 7
12 TS Galaxy 7 1 3 3 6
13 Kruger United 7 1 1 5 4
14 Richards Bay 7 0 3 4 3
15 Siwelele 7 0 3 4 3
16 Marumo Gallants 7 0 2 5 2
# TEAM MP GS GC +/- PTS
1 Mamelodi Sundowns 8 19 7 +12 20
2 Orlando Pirates 7 16 1 +15 19
3 Kaizer Chiefs 7 12 7 +5 13
4 Amazulu 7 10 7 +3 16
5 Milford FC 8 9 7 +2 12
6 Richards Bay 7 9 16 -7 3
7 Stellenbosch 7 8 7 +1 9
8 Polokwane City 7 8 10 -2 7
9 Sekhukhune United 7 7 7 0 11
10 TS Galaxy 7 7 9 -2 6
11 Siwelele 7 6 13 -7 3
12 Marumo Gallants 7 5 13 -8 2
13 Durban City 7 4 5 -1 7
14 Chippa United 7 4 6 -2 8
15 Golden Arrows 7 3 3 0 8
16 Kruger United 7 3 12 -9 4
# TEAM MP xG xGC +/- PTS
1 Mamelodi Sundowns 8 13.8 4.3 +9.5 20
2 Orlando Pirates 7 5.7 2.6 +3.1 19
3 Durban City 7 5.3 2.7 +2.6 7
4 Kaizer Chiefs 7 4.9 3.0 +1.9 13
5 Sekhukhune United 7 3.4 2.8 +0.6 11
6 Golden Arrows 7 4.4 4.3 +0.1 8
7 Polokwane City 7 4.0 3.9 +0.1 7
8 Amazulu 7 4.7 5.8 -1.1 16
9 Stellenbosch 7 3.4 4.5 -1.1 9
10 Kruger United 7 2.4 3.7 -1.3 4
11 Chippa United 7 1.7 3.4 -1.7 8
12 TS Galaxy 7 5.0 6.8 -1.8 6
13 Milford FC 8 4.0 6.2 -2.2 12
14 Marumo Gallants 7 2.1 4.4 -2.3 2
15 Siwelele 7 4.8 7.7 -2.9 3
16 Richards Bay 7 3.4 7.0 -3.6 3