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Compare Zimbabwe vs South Africa

Zimbabwe vs South Africa Head-to-Head Stats and Form Comparison

Compare Zimbabwe vs South Africa: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.

Zimbabwe Zimbabwe Home Team
South Africa South Africa Away Team
Zimbabwe
42.6
W L W W L D L W L L

Last 10 Matches

South Africa
42.2
L W D L W D L D L W

Performance Radar

Zimbabwe
South Africa

Categories Won

7

Zimbabwe

5

Draw

3

South Africa

Statistical Comparison

Win Percentage
40%

4W, 1D, 5L

30%

3W, 3D, 4L

Goals Scored / Match
1.2

12 / 10 matches

0.9

9 / 10 matches

Goals Conceded / Match
1.3

13 / 10 matches

1.1

11 / 10 matches

Goal Difference
-1

-1

-2

-2

Clean Sheet
30%

3 / 10 matches

30%

3 / 10 matches

Over 2.5 Goals
50%

5 / 10 matches

30%

3 / 10 matches

Both Teams to Score
50%

5 / 10 matches

50%

5 / 10 matches

Top Scorer
P. Dube (2 goals)
O. Appollis (2 goals)
Most Goals by Half
1st Half: 5 / 2nd Half: 7
1st Half: 1 / 2nd Half: 8
Home Win Rate
67%

2W / 3 matches

17%

1W / 6 matches

Away Win Rate
29%

2W / 7 matches

50%

2W / 4 matches

Schedule Strength (SoS)
46.1

League Difficulty: 67.5, Opponent Quality: 54.7

51.0

League Difficulty: 75.0, Opponent Quality: 60.0

Elite Opponent Record
0%

0W / 2 matches

0%

0W / 2 matches

Expected Goals (xG)
1.22

Actual: 1.2 | Diff: -0.02

0.78

Actual: 0.9 | Diff: +0.12

Adjusted Power Rating
42.6

Attack: 38.4, Defense: 54.5, Form: 38.4

42.2

Attack: 30.3, Defense: 64.0, Form: 30.3

Goal Timing Analysis

0-15'

1
3

16-30'

1

31-45'

1

46-60'

2
2

61-75'

2
2

76-90+'

3
Zimbabwe
South Africa
Zimbabwe

Power Rating Breakdown

42.6

Overall

Attack 38.4
Defense 54.5
Form 38.4
Consistency 39.7
South Africa

Power Rating Breakdown

42.2

Overall

Attack 30.3
Defense 64.0
Form 30.3
Consistency 53.2

Strength of Schedule

Measures the difficulty of opponents faced. Higher = tougher schedule.

League Difficulty

67.5 vs 75.0

Opponent Quality

54.7 vs 60.0

Elite Opponent Record

0% vs 0%
Zimbabwe logo Zimbabwe
W
India (62%)
L
Nigeria (77%)
W
Zambia (40%)
W
Botswana (45%)
L
South Africa (43%)
D
Angola (55%)
L
Egypt (55%)
W
Qatar (52%)
South Africa logo South Africa
L
Canada (68%)
W
South Korea (68%)
D
Czech Republic (71%)
L
Mexico (84%)
W
Jamaica (65%)
D
Nicaragua (41%)
L
Panama (52%)
D
Panama (52%)

Opponent Quality: Quality blends league strength, recent points form, goal difference, and home/away context. It is not only club size or reputation.

Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
India H
1 - 0 W
62%
Nigeria A
0 - 2 L
77%
Zambia H
1 - 0 W
40%
Botswana A
3 - 0 W
45%
South Africa H
2 - 3 L
43%
Angola A
1 - 1 D
55%
Egypt A
1 - 2 L
55%
Qatar A
2 - 1 W
52%
Algeria A
1 - 3 L
72%
Lesotho A
0 - 1 L
46%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Canada H
0 - 1 L
68%
South Korea H
1 - 0 W
68%
Czech Republic A
1 - 1 D
71%
Mexico A
0 - 2 L
84%
Jamaica A
1 - 0 W
65%
Nicaragua H
0 - 0 D
41%
Panama H
1 - 2 L
52%
Panama H
1 - 1 D
52%
Cameroon H
1 - 2 L
51%
Zimbabwe A
3 - 2 W
48%

AI Analysis

Two well-matched sides make for a compelling statistical comparison here. Surface-level metrics only scratch the surface — once we factor in strength of schedule, the analysis gains real depth. The numbers both teams have posted reflect performances against broadly similar competition.

Both teams have faced similar levels of opposition (SoS: 46.1 vs 51.0), making the raw statistics a reliable comparison tool in this matchup.

The attacking output of Zimbabwe and South Africa is virtually identical, with both sides posting averages of 1.2 and 0.9 goals per game respectively.

The defensive records are closely aligned, with Zimbabwe giving up 1.3 and South Africa giving up 1.1 per fixture.

Crunching the numbers, this match averages out to 2.2 total goals. Going Under 2.5 carries the stronger statistical case, with the BTTS market looking possible given current form.

⚠️ Risk Factor: In matches this evenly balanced, the deciding factor often comes down to set pieces and individual errors. Both teams should be wary of complacency in a match where neither side has a clear edge.

💡 Why This Matters: South Africa's superior Strength of Schedule means their statistics were earned against tougher opponents. A team that performs well against strong opposition is more likely to maintain that level in any given match.

Statistically, there is very little to choose between these two teams. The numbers point to an evenly contested match where fine details and in-game decisions will likely prove decisive.

In the CAF Africa Cup of Nations (2025-12-29), South Africa eliminated Zimbabwe with a 2-3 result. Cup matches bring a unique intensity, and South Africa showed they can handle the pressure. Notably, South Africa achieved this result away from home, which is particularly impressive. Winning on the road against Zimbabwe shows genuine quality and mental strength. The narrow 2-3 result shows how tight these encounters are. A single moment of quality or a tactical tweak could swing the next meeting either way. Zimbabwe will be eager to avenge this defeat. The desire for revenge can be a powerful motivator, and they may come into the next meeting with extra determination. South Africa will carry a psychological advantage from this recent victory. Knowing you've beaten your opponent recently provides a significant confidence boost.

Match Simulator

AI-powered match simulation based on real statistics

Zimbabwe

Zimbabwe

VS
South Africa

South Africa

In H2H (head-to-head) matchups, to eliminate momentary fluctuations and coincidences, we limit our analyses to an optimal depth of exactly 10 matches. Neither less, nor more. This focused approach is our undisputed gold standard, revealing the tactical and psychological supremacy teams hold over each other in its purest form. We do not dwell on the noise of the past; we concentrate on the millimetric precision of current form.

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Comparison Summary

This head-to-head comparison analyzes the last 10 matches of each team, evaluating attack power, defensive strength, form consistency, and overall performance metrics. The power ratings are calculated using a weighted algorithm that considers goals scored, goals conceded, win rate, and recent form trends.

Zimbabwe

4W 1D 5L · 12 goals scored · 13 conceded

South Africa

3W 3D 4L · 9 goals scored · 11 conceded

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