Atalanta vs Dortmund Head-to-Head Stats and Form Comparison
Compare Atalanta vs Dortmund: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.
Atalanta
Home Team
Dortmund
Away Team
Compare...
Performance Radar
Categories Won
Atalanta
Draw
Dortmund
Statistical Comparison
3W, 4D, 3L
6W, 0D, 4L
12 / 10 matches
19 / 10 matches
10 / 10 matches
11 / 10 matches
+2
+8
3 / 10 matches
3 / 10 matches
3 / 10 matches
6 / 10 matches
5 / 10 matches
5 / 10 matches
1W / 5 matches
3W / 4 matches
2W / 5 matches
3W / 6 matches
League Difficulty: 85.5, Opponent Quality: 65.9
League Difficulty: 81.8, Opponent Quality: 64.1
1W / 4 matches
1W / 3 matches
Actual: 1.2 | Diff: -0.32
Actual: 1.9 | Diff: -0.34
Attack: 45.4, Defense: 75.7, Form: 34.0
Attack: 71.8, Defense: 71.8, Form: 68.0
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
Atalanta
Dortmund
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.
Both teams have faced similar levels of opposition (SoS: 63.5 vs 63.4), making the raw statistics a reliable comparison tool in this matchup.
Dortmund holds the attacking edge with 1.9 goals per match versus Atalanta's 1.2, though the gap isn't insurmountable.
Both defenses are comparable, with Atalanta conceding 1.0 and Dortmund conceding 1.1 per match.
Atalanta has struggled against elite opposition, winning only 1 of 4 matches. When the stakes are highest, their performance drops significantly.
Dortmund has struggled against elite opposition, winning only 1 of 3 matches. When the stakes are highest, their performance drops significantly.
Dortmund has an exceptional home record with a 75% win rate at their home ground. When playing at home, they become significantly more dangerous.
Crunching the numbers, this match averages out to 2.6 total goals. Going Over 2.5 carries the stronger statistical case, with the BTTS market looking possible given current form.
📈 Form Momentum: Dortmund has been remarkably consistent, maintaining a steady 1.8 points per game over their last 10 matches. This stability makes them a predictable but reliable force.
📊 Key Trend: The form trajectories are diverging. Dortmund is on the rise with 6W in last 10, while Atalanta shows signs of decline with 3W in last 10.
💡 Why This Matters: The 13.8-point power rating gap between these teams translates to approximately a 84% win probability for Dortmund. In practical terms, Dortmund would win 8 out of 10 such matchups.
While Dortmund holds a measurable edge in the adjusted standings, the 13.8-point differential in power ratings indicates a competitive matchup rather than a clear-cut outcome.
Match Simulator
AI-powered match simulation based on real statistics
Atalanta
Dortmund
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.
Atalanta
3W 4D 3L · 12 goals scored · 10 conceded
Dortmund
6W 0D 4L · 19 goals scored · 11 conceded
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