Sparta Prague vs Plzeň Head-to-Head Stats and Form Comparison
Compare Sparta Prague vs Plzeň: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.
Sparta Prague
Home Team
Plzeň
Away Team
Compare...
Performance Radar
Categories Won
Sparta Prague
Draw
Plzeň
Statistical Comparison
4W, 2D, 4L
5W, 2D, 3L
11 / 10 matches
14 / 10 matches
13 / 10 matches
8 / 10 matches
-2
+6
4 / 10 matches
6 / 10 matches
4 / 10 matches
4 / 10 matches
4 / 10 matches
2 / 10 matches
3W / 4 matches
3W / 5 matches
1W / 6 matches
2W / 5 matches
League Difficulty: 55.4, Opponent Quality: 55.5
League Difficulty: 56.7, Opponent Quality: 55.1
0W / 0 matches
0W / 0 matches
Actual: 1.1 | Diff: +0.01
Actual: 1.4 | Diff: -0.05
Attack: 38.7, Defense: 59.8, Form: 42.2
Attack: 49.3, Defense: 77.5, Form: 52.8
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
Sparta Prague
Plzeň
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.
With comparable strength of schedule figures (55.5 vs 55.7), the opposition quality faced by both sides has been largely equivalent, giving these head-to-head stats greater analytical validity.
The attacking output of Sparta Prague and Plzeň is virtually identical, with both sides posting averages of 1.1 and 1.4 goals per game respectively.
Plzeň's backline outperforms Sparta Prague's, with 0.8 goals conceded per match versus 1.3.
Sparta Prague has not faced any elite-level opponents in their recent matches, making it difficult to assess their ceiling.
Plzeň has not faced any elite-level opponents in their recent matches, making it difficult to assess their ceiling.
Sparta Prague has an exceptional home record with a 75% win rate at their home ground. When playing at home, they become significantly more dangerous.
Statistical modeling projects 2.3 goals in this fixture. The data points Under 2.5 as the value threshold, while BTTS stands at unlikely based on both sides' scoring records.
📈 Form Momentum: Plzeň has been remarkably consistent, maintaining a steady 1.7 points per game over their last 10 matches. This stability makes them a predictable but reliable force.
💡 Why This Matters: The 11.0-point power rating gap between these teams translates to approximately a 78% win probability for Plzeň. In practical terms, Plzeň would win 8 out of 10 such matchups.
Plzeň has the edge based on adjusted metrics, but this is far from a foregone conclusion. The 11.0-point power gap suggests an advantage without guaranteeing victory.
These two teams drew 0-0 in the Czech First League (2026-05-12). 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
Sparta Prague
Plzeň
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.
Sparta Prague
4W 2D 4L · 11 goals scored · 13 conceded
Plzeň
5W 2D 3L · 14 goals scored · 8 conceded
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