Statistics / Football / South-Africa. Premier Soccer League / Kruger United vs Durban City

Kruger United vs Durban City Statistics & Analysis

Kruger United Kruger United
Aug 25, 2026 - 17:30
0 1.04
2 0.98
xG Accuracy: 57%
Durban City Durban City
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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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 draw Durban City ✖ Incorrect
  • Correct Score Insights 1-0, 1-1, 0-0, 0-1, 2-0 0-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Aug 19, 2026 · 02:26 UTC Snapshot ID: dp-4552033

Closing Odds 3.47
AI Fair Odds —
CLV +0.0%
Final Result Durban City win · Kruger United 0–2 Durban City
Prediction ✖ Missed
Decision Grade C

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Kruger United (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Kruger United (1X2) by about 5.7 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Kruger United (1X2) 32.5 26.8 +5.7
Draw (1X2) 33.9 33.9 -0.0
Durban City (1X2) 33.7 39.4 -5.7
Over 2.5 goals 32.9 36.0 -3.1
Under 2.5 goals 67.1 64.0 +3.1
What this means

In plain terms: the model lands near 32.5% on Kruger United (1X2), while the closing snapshot implied about 26.8%. The difference — about 5.7 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Kruger United (1X2) 3.47 3.47 0.0
Draw (1X2) 2.74 2.74 0.0
Durban City (1X2) 2.36 2.36 0.0
Over 2.5 goals 2.6 2.6 0.0
Under 2.5 goals 1.46 1.46 0.0

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Premier Soccer League
  • Fixture: Kruger United vs Durban City
  • Kickoff: 2026-08-25 17:30:00
  • 1X2 (model): Home 32.5% · Draw 33.9% · Away 33.7%
  • xG (showing): Kruger United 1.04 — Durban City 0.98 (total xG ≈ 2.02)
  • Value headline: None (actionable) — best tracked EV is about +0.7%, still below the +2.0% minimum for a headline / default stake (no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 67.1% · Over 2.5 32.9%); BTTS No (Yes 42.1% · No 57.9%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 42.1% · No 57.9%
  • Correct score (top bin): 1-0 (13.8%)

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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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Back to Statistics
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