Colombia vs Bolivia Head-to-Head Stats and Form Comparison
Compare Colombia vs Bolivia: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.
Colombia
Home Team
Bolivia
Away Team
Compare...
Performance Radar
Categories Won
Colombia
Draw
Bolivia
Statistical Comparison
6W, 2D, 2L
2W, 1D, 7L
15 / 10 matches
7 / 10 matches
7 / 10 matches
20 / 10 matches
+8
-13
6 / 10 matches
1 / 10 matches
5 / 10 matches
6 / 10 matches
4 / 10 matches
3 / 10 matches
5W / 8 matches
2W / 6 matches
1W / 2 matches
0W / 4 matches
League Difficulty: 82.5, Opponent Quality: 60.2
League Difficulty: 79.0, Opponent Quality: 61.9
0W / 3 matches
0W / 3 matches
Actual: 1.5 | Diff: -0.11
Actual: 0.7 | Diff: -0.1
Attack: 52.0, Defense: 79.8, Form: 62.5
Attack: 24.1, Defense: 34.4, Form: 20.7
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
Colombia
Bolivia
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
Surface-level numbers suggest a competitive matchup, but the Strength of Schedule correction tells a different story. The favorite has earned their metrics against stiffer competition, exposing a meaningful performance gap between these two sides.
The level of competition each team has encountered is broadly aligned (SoS: 54.1 vs 53.3), which adds credibility to any direct statistical comparisons drawn between these two sides.
Colombia holds the attacking edge with 1.5 goals per match versus Bolivia's 0.7, though the gap isn't insurmountable.
Colombia holds a clear defensive edge, limiting opponents to just 0.7 goals per game and recording 6 clean sheets, compared to Bolivia's leaky backline that surrenders 2.0 goals per match.
Colombia has struggled against elite opposition, winning only 0 of 3 matches. When the stakes are highest, their performance drops significantly.
Bolivia has struggled against elite opposition, winning only 0 of 3 matches. When the stakes are highest, their performance drops significantly.
Based on the combined statistics, expect 2.5 total goals. Under 2.5 goals is the statistical lean, with BTTS (Both Teams to Score) being unlikely.
📈 Form Momentum: Colombia has been remarkably consistent, maintaining a steady 2.0 points per game over their last 10 matches. This stability makes them a predictable but reliable force.
❄️ Form Momentum: Bolivia is struggling for form, winning just 2 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. Colombia is on the rise with 6W in last 10, while Bolivia shows signs of decline with 2W in last 10.
💡 Why This Matters: The 31.4-point power rating gap between these teams translates to approximately a 85% win probability for Colombia. In practical terms, Colombia would win 8 out of 10 such matchups.
Our opponent-adjusted metrics point overwhelmingly in one direction: Colombia holds a commanding advantage here. The power rating gap — 62.1 against 30.7 — reinforces what the underlying numbers already suggest, making Colombia a strong and justified favorite to win decisively.
Match Simulator
AI-powered match simulation based on real statistics
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Colombia
Bolivia
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.
Colombia
6W 2D 2L · 15 goals scored · 7 conceded
Bolivia
2W 1D 7L · 7 goals scored · 20 conceded
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