University of Fort Hare W vs University of Johannesburg W Prediction, Odds & Statistics

Our Poisson-based model projects 0.87 expected goals for University of Fort Hare W and 1.04 for University of Johannesburg W, a combined total of 1.91. That distribution gives University of Johannesburg W the largest share of the 1X2 market at 39%, with the draw at 32%. Goals markets follow the same shape: 30% for over 2.5 goals and 38% for both teams to score, with 0–1 the single most likely scoreline at 15%. Probabilities are statistical estimates and carry meaningful uncertainty — a 39% favourite still loses or draws a large share of the time.

This match has finished. The figures below are the model's estimate for the fixture, kept on the page for reference and study — they are not a betting tip, and nothing here has been edited after the final whistle.

Model pick

Draw/Away

70.3% probability

High confidenceLow data42/100

Expected goals

0.87 – 1.04

Model version

poisson-v2

Cold start: only league-table or short-form data was available for these teams.

Probabilities are statistical estimates, not guarantees.

Why the model likes this

Each point below is derived from this fixture's own data — recent results, home and away splits, scoring and defensive rates and head-to-head history where it exists. Points only appear when the underlying data supports them.

University of Fort Hare W home form
7 points from their last 4 home matches in our dataset.
Most likely outcome
The model rates University of Johannesburg W to win the strongest 1X2 selection at 39%, against 30% / 32% / 39% for home, draw and away.
Expected goals balance
Projected 0.87 goals for University of Fort Hare W and 1.04 for University of Johannesburg W, a combined 1.91 — a tighter, lower-scoring profile.
Goals markets
Over 2.5 goals lands at 30% and both teams to score at 38%, with 0–1 the single most likely scoreline at 15%.

Match result (1X2)

University of Fort Hare W win30%

Draw32%

University of Johannesburg W win39%

Double chance 1X

61%

Double chance 12

68%

Double chance X2

70%

Goals markets

Over 1.5 goals57%

Over 2.5 goals30%

Over 3.5 goals13%

Both teams to score38%

Correct score

0–115.4%
0–014.8%
1–113.4%
1–012.9%
0–28.0%

Recent form

University of Fort Hare W

2026-09-19T09:00:00.000Z · A vs University of Johannesburg W · 2-1 (W)
2026-09-13T09:00:00.000Z · A vs First Touch W · 1-0 (W)
2026-09-05T07:00:00.000Z · H vs City Lads W · 2-0 (W)
2026-08-30T13:00:00.000Z · A vs Tshwane University W · 0-0 (D)
2026-07-11T13:00:00.000Z · A vs JVW FC W · 2-2 (D)

University of Johannesburg W

Head-to-head

Head-to-head history is temporarily unavailable. The prediction is unaffected — it is built from current form, home and away performance, goals data and competition statistics.

Super League Women table

Full league page →

#	Team	P	W	D	L	GD	Pts
1	Mamelodi Sundowns W	5	5	0	0	21	15
2	JVW FC W	6	4	2	0	13	14
3	TS Galaxy W	6	4	1	1	7	13
4	University of Johannesburg W	6	3	2	1	5	11
5	Tshwane University W	6	3	2	1	4	11
6	Pretoria U. W	6	3	1	2	1	10
7	Ramatlaohle W	6	3	1	2	0	10
8	UWC W	6	3	1	2	-3	10
9	Copperbelt Ladies W	5	3	0	2	0	9
10	University of Fort Hare W	6	1	4	1	0	7
11	Richmond United W	6	2	1	3	-5	7
12	Ezemvelo W	6	2	0	4	-4	6
13	First Touch W	6	1	3	2	-4	6
14	Diepkloof W	6	1	0	5	-10	3
15	Stellenbosch W	6	0	0	6	-11	0
16	City Lads W	6	0	0	6	-14	0

Prediction conclusion

The model's leading selection is Draw/Away, at 70.3%. Its single most likely scoreline is 0–1.

It puts both teams scoring at 38% and over 2.5 goals at 30%.

A 70% selection is expected to miss in the remaining share of matches, and football regularly produces red cards, injuries and tactical changes the data cannot see. Treat this as a probability, not a forecast of the result.

Methodology Results Log

Predictions are statistical estimates generated from historical and current team data. They are provided for information and entertainment only and are not betting advice. 18+ only.