Compare Lorient vs Silkeborg

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

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

Lorient Home Team

Silkeborg Away Team

Lorient

51.4

W D L W L D L W D D

Last 10 Matches

Silkeborg

48.2

L W W W D W L W D L

Categories Won

Lorient

Draw

Silkeborg

Performance Radar

Lorient

Silkeborg

Statistical Comparison

Win Percentage

30%

3W, 4D, 3L

50%

5W, 2D, 3L

Goals Scored / Match

1.4

14 / 10 matches

1.7

17 / 10 matches

Goals Conceded / Match

1.1

11 / 10 matches

2.0

20 / 10 matches

Goal Difference

-3

Clean Sheet

30%

3 / 10 matches

20%

2 / 10 matches

Over 2.5 Goals

40%

4 / 10 matches

80%

8 / 10 matches

Both Teams to Score

50%

5 / 10 matches

60%

6 / 10 matches

Top Scorer

B. Dieng (4 goals)

T. Adamsen (6 goals)

Most Goals by Half

1st Half: 5 / 2nd Half: 9

1st Half: 7 / 2nd Half: 10

Home Win Rate

40%

2W / 5 matches

40%

2W / 5 matches

Away Win Rate

20%

1W / 5 matches

60%

3W / 5 matches

Schedule Strength (SoS)

60.2

League Difficulty: 81.9, Opponent Quality: 64.0

52.5

League Difficulty: 55.0, Opponent Quality: 50.8

Elite Opponent Record

20%

1W / 5 matches

0W / 0 matches

Expected Goals (xG)

1.78

Actual: 1.4 | Diff: -0.38

1.72

Actual: 1.7 | Diff: -0.02

Adjusted Power Rating

51.4

Attack: 51.4, Defense: 69.8, Form: 33.1

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+'

Lorient

Silkeborg

Power Rating Breakdown

51.4

Overall

Attack 51.4

Defense 69.8

Form 33.1

Consistency 57.7

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

81.9 vs 55.0

Opponent Quality

64.0 vs 50.8

Elite Opponent Record

20% vs 0%

Lorient

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

Metz A

French Ligue 1

4 - 0 W

48%

Paris SG A

French Ligue 1

2 - 2 D

84%

Strasbourg H

French Ligue 1

2 - 3 L

55%

Marseille H

French Ligue 1

2 - 0 W

61%

Lyon A

French Ligue 1

0 - 2 L

70%

Paris FC H

French Ligue 1

1 - 1 D

72%

Toulouse A

French Ligue 1

0 - 1 L

62%

Lens H

French Ligue 1

2 - 1 W

71%

Lille A

French Ligue 1

1 - 1 D

78%

Nice H

Coupe de France

0 - 0 D

39%

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

This is a fascinating matchup between two evenly-matched teams. The raw numbers tell one story, but the opponent quality analysis adds crucial context.

Both teams have faced similar levels of opposition (SoS: 60.2 vs 52.5), making the raw statistics a reliable basis for comparison.

Silkeborg holds the attacking edge with 1.7 goals per match versus Lorient's 1.4, though the gap is not insurmountable.

Defensively, Lorient is far superior, conceding just 1.1 goals per match with 3 clean sheets, while Silkeborg leaks 2.0 per match.

Lorient has struggled against elite opposition, winning only 1 of 5 matches. When the stakes are highest, their performance drops significantly.

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 3.1 total goals. Over 2.5 goals is the statistical lean, with both teams to score being likely.

Match Simulator

AI-powered match simulation based on real statistics

Lorient

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.

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