Compare Monaco vs Silkeborg

Monaco vs Silkeborg Head-to-Head Stats and Form Comparison

Compare Monaco vs Silkeborg: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.

Monaco Home Team

Silkeborg Away Team

Monaco

67.7

L W D D L W W W W W

Last 10 Matches

Silkeborg

48.2

L W W W D W L W D L

Categories Won

Monaco

Draw

Silkeborg

Performance Radar

Monaco

Silkeborg

Statistical Comparison

Win Percentage

60%

6W, 2D, 2L

50%

5W, 2D, 3L

Goals Scored / Match

1.8

18 / 10 matches

1.7

17 / 10 matches

Goals Conceded / Match

1.3

13 / 10 matches

2.0

20 / 10 matches

Goal Difference

-3

Clean Sheet

20%

2 / 10 matches

20%

2 / 10 matches

Over 2.5 Goals

70%

7 / 10 matches

80%

8 / 10 matches

Both Teams to Score

70%

7 / 10 matches

60%

6 / 10 matches

Top Scorer

F. Balogun (8 goals)

T. Adamsen (6 goals)

Most Goals by Half

1st Half: 5 / 2nd Half: 13

1st Half: 7 / 2nd Half: 10

Home Win Rate

60%

3W / 5 matches

40%

2W / 5 matches

Away Win Rate

60%

3W / 5 matches

60%

3W / 5 matches

Schedule Strength (SoS)

69.4

League Difficulty: 86.0, Opponent Quality: 64.4

52.5

League Difficulty: 55.0, Opponent Quality: 50.8

Elite Opponent Record

50%

2W / 4 matches

0W / 0 matches

Expected Goals (xG)

2.08

Actual: 1.8 | Diff: -0.28

1.72

Actual: 1.7 | Diff: -0.02

Adjusted Power Rating

67.7

Attack: 71.6, Defense: 67.7, Form: 71.6

48.2

Attack: 58.1, Defense: 34.2, Form: 51.2

Goal Timing Analysis

0-15'

16-30'

31-45'

46-60'

61-75'

76-90+'

Monaco

Silkeborg

Power Rating Breakdown

67.7

Overall

Attack 71.6

Defense 67.7

Form 71.6

Consistency 52.0

Power Rating Breakdown

48.2

Overall

Attack 58.1

Defense 34.2

Form 51.2

Consistency 45.7

Strength of Schedule

Measures the difficulty of opponents faced. Higher = tougher schedule.

League Difficulty

86.0 vs 55.0

Opponent Quality

64.4 vs 50.8

Elite Opponent Record

50% vs 0%

Monaco

Silkeborg

Opponent Quality: Quality blends league strength, recent points form, goal difference, and home/away context. It is not only club size or reputation.

Opponent Breakdown

League

Score

Opp. Quality

Lille H

French Ligue 1

0 - 1 L

73%

Metz A

French Ligue 1

2 - 1 W

48%

Toulouse A

French Ligue 1

2 - 2 D

62%

Auxerre H

French Ligue 1

2 - 2 D

66%

Paris FC A

French Ligue 1

1 - 4 L

77%

Marseille H

French Ligue 1

2 - 1 W

61%

Lyon A

French Ligue 1

2 - 1 W

70%

Brest H

French Ligue 1

2 - 0 W

56%

Paris SG A

French Ligue 1

3 - 1 W

84%

Angers H

French Ligue 1

2 - 0 W

47%

Opponent Breakdown

League

Score

Opp. Quality

Copenhagen H

Danish Superligaen

0 - 4 L

63%

OB A

Danish Superligaen

3 - 2 W

55%

Randers H

Danish Superligaen

2 - 0 W

46%

Vejle A

Danish Superligaen

2 - 1 W

44%

Fredericia H

Danish Superligaen

2 - 2 D

43%

OB H

Danish Superligaen

3 - 1 W

50%

Copenhagen A

Danish Superligaen

0 - 7 L

68%

Randers A

Danish Superligaen

3 - 0 W

52%

Vejle H

Danish Superligaen

1 - 1 D

39%

Fredericia A

Danish Superligaen

1 - 2 L

48%

AI Analysis

When we look at the raw statistics, both teams appear to be in form, but applying the Strength of Schedule filter reveals a much clearer picture.

Monaco has faced significantly tougher opposition (SoS: 69.4) compared to Silkeborg (SoS: 52.5). This means Monaco's statistics carry more weight, as they were achieved against higher-caliber opponents.

Both teams are evenly matched in attack, with Monaco averaging 1.8 and Silkeborg averaging 1.7 goals per match.

Monaco has the defensive edge, conceding 1.3 per match compared to Silkeborg's 2.0.

Monaco has proven their mettle against elite opponents, winning 2 of 4 matches against top-tier teams. This is a crucial indicator of their ability to perform under pressure.

Silkeborg has not faced any elite-level opponents in their recent matches, making it difficult to assess their ceiling.

Silkeborg is a strong road team with a 60% away win rate, suggesting they can perform regardless of venue.

Based on the combined statistics, expect 3.4 total goals. Over 2.5 goals is the statistical lean, with both teams to score being likely.

Monaco emerges as the favorite in this matchup. With a stronger overall power rating (67.7 vs 48.2) and better performance against quality opposition, they should control the game. However, football always has room for surprises.

Match Simulator

AI-powered match simulation based on real statistics

Monaco

Silkeborg

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.

Compare Another Pair