Kruger United vs Stellenbosch Statistics & Analysis

Kruger United

Sep 19, 2026 - 18:00

0 1.09

1 1.06

xG Accuracy: 73%

Stellenbosch

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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 Over 2.5 Under 2.5 (1 goals) ✖ Incorrect
Both Teams To Score BTTS Yes No ✖ Incorrect
1X2 Kruger United Stellenbosch ✖ Incorrect
Correct Score Insights 1-1, 1-0, 0-1, 0-0, 2-1 0-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 03:29 UTC Snapshot ID: dp-8707267

Closing Odds 2.8

AI Fair Odds —

CLV +0.0%

Final Result Stellenbosch win · Kruger United 0–1 Stellenbosch

Prediction ✖ Missed

Decision Grade F

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 PRE5 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Over 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 Over 2.5 goals by about 1.8 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market	Model %	Closing impl. %	Gap (pp)
Kruger United (1X2)	34.0	33.1	+0.9
Draw (1X2)	33.1	33.9	-0.8
Stellenbosch (1X2)	32.9	33.0	-0.1
Over 2.5 goals	36.4	34.6	+1.8
Under 2.5 goals	63.6	65.4	-1.8

What this means

In plain terms: the model lands near 36.4% on Over 2.5 goals, while the closing snapshot implied about 34.6%. The difference — about 1.8 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 → PRE5 · 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 (PRE5)
Kruger United (1X2)	2.8	2.8
Draw (1X2)	2.74	2.74
Stellenbosch (1X2)	2.81	2.81
Over 2.5 goals	2.7	2.7
Under 2.5 goals	1.43	1.43

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 Stellenbosch
Kickoff: 2026-09-19 18:00:00
1X2 (model): Home 34.0% · Draw 33.1% · Away 32.9%
xG (showing): Kruger United 1.09 — Stellenbosch 1.06 (total xG ≈ 2.15)
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 63.6% · Over 2.5 36.4%); BTTS No (Yes 45.1% · No 54.9%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
BTTS (model): Yes 45.1% · No 54.9%
Correct score (top bin): 1-1 (13.5%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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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Back to Statistics

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