Botswana vs Zimbabwe Head-to-Head Stats and Form Comparison
Compare Botswana vs Zimbabwe: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.
Botswana
Home Team
Zimbabwe
Away Team
Compare...
Performance Radar
Categories Won
Botswana
Draw
Zimbabwe
Statistical Comparison
1W, 1D, 8L
4W, 1D, 5L
5 / 10 matches
12 / 10 matches
20 / 10 matches
13 / 10 matches
-15
-1
1 / 10 matches
3 / 10 matches
6 / 10 matches
5 / 10 matches
3 / 10 matches
5 / 10 matches
1W / 4 matches
2W / 3 matches
0W / 6 matches
2W / 7 matches
League Difficulty: 61.5, Opponent Quality: 51.9
League Difficulty: 67.5, Opponent Quality: 54.7
0W / 0 matches
0W / 2 matches
Actual: 0.5 | Diff: -0.05
Actual: 1.2 | Diff: -0.02
Attack: 17.6, Defense: 35.2, Form: 10.6
Attack: 38.4, Defense: 54.5, Form: 38.4
Goal Timing Analysis
0-15'
16-30'
31-45'
46-60'
61-75'
76-90+'
Power Rating Breakdown
Overall
Power Rating Breakdown
Overall
Strength of Schedule
Measures the difficulty of opponents faced. Higher = tougher schedule.
League Difficulty
Opponent Quality
Elite Opponent Record
Botswana
Zimbabwe
Opponent Quality: Quality blends league strength, recent points form, goal difference, and home/away context. It is not only club size or reputation.
AI Analysis
A statistical edge is evident here, but the trailing side carries enough threat to keep this competitive. Once opponent quality is accounted for, the differential softens somewhat without fundamentally altering the overall outlook.
The level of competition each team has encountered is broadly aligned (SoS: 55.7 vs 46.1), which adds credibility to any direct statistical comparisons drawn between these two sides.
Zimbabwe leads the attacking statistics, averaging 1.2 goals per game compared to Botswana's 0.5 — a meaningful but far from decisive advantage.
Zimbabwe's backline outperforms Botswana's, with 1.3 goals conceded per match versus 2.0.
Botswana has not faced any elite-level opponents in their recent matches, making it difficult to assess their ceiling.
Crunching the numbers, this match averages out to 2.5 total goals. Going Under 2.5 carries the stronger statistical case, with the BTTS market looking possible given current form.
❄️ Form Momentum: Botswana is struggling for form, winning just 1 of their last 10 matches. Teams in this state often lack the confidence to compete in tight moments.
📊 Key Trend: The form trajectories are diverging. Zimbabwe is on the rise with 4W in last 10, while Botswana shows signs of decline with 1W in last 10.
💡 Why This Matters: The 14.1-point power rating gap between these teams translates to approximately a 85% win probability for Zimbabwe. In practical terms, Zimbabwe would win 8 out of 10 such matchups.
The numbers lean toward Zimbabwe, with a 14.1-point power rating gap pointing to a genuine advantage — though not one that makes this contest a formality.
In their recent Internationals match (2026-03-28), Zimbabwe prevailed 0-3 against Botswana. This result provides valuable insight into how these teams match up against each other. Notably, Zimbabwe achieved this result away from home, which is particularly impressive. Winning on the road against Botswana shows genuine quality and mental strength. The 0-3 scoreline was emphatic — Zimbabwe completely dominated Botswana in that encounter, raising serious questions about Botswana's ability to compete at this level. Botswana 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. Zimbabwe 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
Botswana
Zimbabwe
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.
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.
Botswana
1W 1D 8L · 5 goals scored · 20 conceded
Zimbabwe
4W 1D 5L · 12 goals scored · 13 conceded
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