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South Africa · Premier Soccer League

09 May 2026 15:30 UTC

MAMELODI SUNDOWNS FC vs SIWELELE

Final 7:4

Mamelodi Sundowns FC won Last goal: Siwelele

Match timeline

1st half

  1. ⚽ Teboho Mokoena — Mamelodi Sundowns FC
  2. ⚽ Tashreeq Matthews — Mamelodi Sundowns FC
  3. ⚽ Nyiko Mobbie (own goal) — Mamelodi Sundowns FC
  4. ⚽ Gamphani Lungu — Siwelele
  5. ⚽ Tashreeq Matthews — Mamelodi Sundowns FC
  6. ⚽ Brayan Leon — Mamelodi Sundowns FC

2nd half

  1. ⚽ Gamphani Lungu — Siwelele
  2. ⚽ Brayan Leon — Mamelodi Sundowns FC
  3. ⚽ Brayan Leon — Mamelodi Sundowns FC
  4. ⚽ Relebogile Mokhuoane — Siwelele
  5. ⚽ Gamphani Lungu (penalty) — Siwelele

Model predictions were

Predictions are settled on the 90-minute result, including stoppage time but excluding extra time and penalties.

On point
51%
1X2
Mamelodi Sundowns FC
90-minute result: Mamelodi Sundowns FC
Lucky hit
44%
Both teams to score
Yes

Chance that both teams score

Result: Yes
Solid call
65%
Total 1.5
Over

Chance of 2 or more goals

Result: Over
Lucky hit
37%
Total 2.5
Over

Chance of 3 or more goals

Result: Over
Lucky hit
31%
Total 3.5
Over

Chance of 4 or more goals

Result: Over
Big miss
89%
Total 4.5
Under

Chance of 4 or fewer goals

Result: Over
As expected
9%
Score
3:1

Chance of this exact score

Result: 7:4

Model Context Was

Match prediction context

Probability in similar matches 64% (Good)

How often the predicted 1X2 outcome matched the final result in past matches in this league when the model’s predicted score line had the same home-minus-away goal difference (+2; home goals minus away goals).

Based on 33 past matches with this goal margin in this league.

Draw likelihood 31% (High)

Historical draw rate in this league. Low / Typical / High is relative to usual draw frequencies, not model accuracy.

Based on 216 finished matches in this league.

League

Historical model performance in this league before this match date.

Based on 215 completed matches.

1X2 48% (Average)
Both teams to score 44% (Weak)
Total 1.5 56% (Good)
Total 2.5 58% (Good)
Total 3.5 77% (Strong)
Total 4.5 92% (Strong)
Score 13% (Good)

More stats

Teams

This shows how the model performed in matches with these teams.

Based on 53 past matches

1X2 45% (Average)
Both teams to score 38% (Weak)
Total 1.5 58% (Good)
Total 2.5 60% (Good)
Total 3.5 81% (Strong)
Total 4.5 92% (Strong)
Score 9% (Weak)

Markets

This shows how often each type of prediction was correct in this league.

1X2 48% (Average)
145 predictions
Both teams to score 33% (Weak)
103 predictions
Total 1.5 61% (Good)
150 predictions
Total 2.5 36% (Weak)
76 predictions
Total 3.5 25% (Weak)
32 predictions
Total 4.5 95% (Strong)
208 predictions

Match overview