Minnesota vs San Diego Head-to-Head Stats and Form Comparison
Compare Minnesota vs San Diego: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.
Minnesota
Home Team
San Diego
Away Team
Compare...
Performance Radar
Categories Won
Minnesota
Draw
San Diego
Statistical Comparison
1W, 5D, 4L
4W, 3D, 3L
13 / 10 matches
18 / 10 matches
13 / 10 matches
13 / 10 matches
0
+5
1 / 10 matches
4 / 10 matches
5 / 10 matches
5 / 10 matches
8 / 10 matches
5 / 10 matches
0W / 6 matches
3W / 5 matches
1W / 4 matches
1W / 5 matches
League Difficulty: 55.0, Opponent Quality: 47.9
League Difficulty: 55.0, Opponent Quality: 50.6
0W / 0 matches
0W / 0 matches
Actual: 1.3 | Diff: -0.05
Actual: 1.8 | Diff: +0.11
Attack: 43.6, Defense: 57.1, Form: 10.1
Attack: 61.4, Defense: 58.0, Form: 41.0
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
Minnesota
San Diego
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
While the data leans decisively toward one side, dismissing the underdog would be premature. Adjusting for strength of schedule brings the margins closer together, yet the broader trend holds firm throughout the analysis.
With comparable strength of schedule figures (50.7 vs 52.4), the opposition quality faced by both sides has been largely equivalent, giving these head-to-head stats greater analytical validity.
San Diego leads the attacking statistics, averaging 1.8 goals per game compared to Minnesota's 1.3 — a meaningful but far from decisive advantage.
The defensive records are closely aligned, with Minnesota giving up 1.3 and San Diego giving up 1.3 per fixture.
Minnesota has not faced any elite-level opponents in their recent matches, making it difficult to assess their ceiling.
San Diego has not faced any elite-level opponents in their recent matches, making it difficult to assess their ceiling.
Statistical modeling projects 2.9 goals in this fixture. The data points Over 2.5 as the value threshold, while BTTS stands at likely based on both sides' scoring records.
❄️ Form Momentum: Minnesota 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.
📈 Form Momentum: San Diego has been remarkably consistent, maintaining a steady 1.5 points per game over their last 10 matches. This stability makes them a predictable but reliable force.
📊 Key Trend: The form trajectories are diverging. San Diego is on the rise with 4W in last 10, while Minnesota shows signs of decline with 1W in last 10.
💡 Why This Matters: The 10.8-point power rating gap between these teams translates to approximately a 77% win probability for San Diego. In practical terms, San Diego would win 8 out of 10 such matchups.
While San Diego holds a measurable edge in the adjusted standings, the 10.8-point differential in power ratings indicates a competitive matchup rather than a clear-cut outcome.
These two teams drew 1-1 in the Major League Soccer (2026-08-02). 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
Minnesota
San Diego
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.
Minnesota
1W 5D 4L · 13 goals scored · 13 conceded
San Diego
4W 3D 3L · 18 goals scored · 13 conceded
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