Uganda vs Tanzania Head-to-Head Stats and Form Comparison
Compare Uganda vs Tanzania: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.
Uganda
Home Team
Tanzania
Away Team
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Performance Radar
Categories Won
Uganda
Draw
Tanzania
Statistical Comparison
5W, 1D, 4L
1W, 2D, 7L
15 / 10 matches
12 / 10 matches
15 / 10 matches
14 / 10 matches
0
-2
3 / 10 matches
1 / 10 matches
7 / 10 matches
3 / 10 matches
6 / 10 matches
4 / 10 matches
4W / 6 matches
0W / 4 matches
1W / 4 matches
1W / 6 matches
League Difficulty: 61.5, Opponent Quality: 48.8
League Difficulty: 62.0, Opponent Quality: 53.4
0W / 1 matches
1W / 2 matches
Actual: 1.5 | Diff: +0.15
Actual: 1.2 | Diff: -0.41
Attack: 45.9, Defense: 45.9, Form: 45.9
Attack: 42.4, Defense: 56.5, Form: 10.6
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
Uganda
Tanzania
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
On paper, these teams are closely aligned, and the data backs that up. Raw statistics can be misleading without context, but strength-of-opponent adjustments reinforce just how competitive this matchup is. Neither side has padded their numbers against weak opposition.
Tanzania has faced significantly tougher opposition (SoS: 56.0) compared to Uganda (SoS: 41.7). This means Tanzania's statistics carry more weight - they've been battle-tested against quality opponents.
Uganda holds the attacking edge with 1.5 goals per match versus Tanzania's 1.2, though the gap isn't insurmountable.
The defensive records are closely aligned, with Uganda giving up 1.5 and Tanzania giving up 1.4 per fixture.
Crunching the numbers, this match averages out to 2.8 total goals. Going Over 2.5 carries the stronger statistical case, with the BTTS market looking possible given current form.
📈 Form Momentum: Uganda has been remarkably consistent, maintaining a steady 1.6 points per game over their last 10 matches. This stability makes them a predictable but reliable force.
❄️ Form Momentum: Tanzania 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. Uganda is on the rise with 5W in last 10, while Tanzania shows signs of decline with 1W in last 10.
⚠️ Risk Factor: Despite being the statistical favorite, Uganda faces a key vulnerability: their defense concedes 1.5 goals per match. If Tanzania can exploit this, an upset becomes plausible.
💡 Why This Matters: Tanzania'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.
These two teams drew 1-1 in the CAF Africa Cup of Nations (2025-12-27). The stalemate suggests these sides are closely matched, and another tight contest could be on the cards. With the previous match ending in a draw, neither side holds a psychological edge. Both teams will feel they have a genuine chance of winning.
Match Simulator
AI-powered match simulation based on real statistics
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Uganda
Tanzania
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.
Uganda
5W 1D 4L · 15 goals scored · 15 conceded
Tanzania
1W 2D 7L · 12 goals scored · 14 conceded
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