Compare Westerlo vs Hamburg

Westerlo vs Hamburg Head-to-Head Stats and Form Comparison

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

Westerlo Home Team

Hamburg Away Team

Westerlo

45.7

L D L W L W W D L W

Last 10 Matches

Hamburg

41.5

W W L L L D L D W L

Categories Won

Westerlo

Draw

Hamburg

Performance Radar

Westerlo

Hamburg

Statistical Comparison

Win Percentage

40%

4W, 2D, 4L

30%

3W, 2D, 5L

Goals Scored / Match

1.4

14 / 10 matches

1.3

13 / 10 matches

Goals Conceded / Match

1.5

15 / 10 matches

1.9

19 / 10 matches

Goal Difference

-1

-6

Clean Sheet

40%

4 / 10 matches

0 / 10 matches

Over 2.5 Goals

60%

6 / 10 matches

70%

7 / 10 matches

Both Teams to Score

50%

5 / 10 matches

80%

8 / 10 matches

Top Scorer

Nacho Ferri (4 goals)

R. Glatzel (2 goals)

Most Goals by Half

1st Half: 3 / 2nd Half: 11

1st Half: 7 / 2nd Half: 6

Home Win Rate

20%

1W / 5 matches

20%

1W / 5 matches

Away Win Rate

60%

3W / 5 matches

40%

2W / 5 matches

Schedule Strength (SoS)

51.3

League Difficulty: 59.5, Opponent Quality: 54.9

59.5

League Difficulty: 91.0, Opponent Quality: 66.0

Elite Opponent Record

33%

1W / 3 matches

0W / 2 matches

Expected Goals (xG)

1.42

Actual: 1.4 | Diff: -0.02

1.67

Actual: 1.3 | Diff: -0.37

Adjusted Power Rating

45.7

Attack: 47.3, Defense: 50.6, Form: 40.5

41.5

Attack: 47.5, Defense: 40.2, Form: 32.9

Goal Timing Analysis

0-15'

16-30'

31-45'

46-60'

61-75'

76-90+'

Westerlo

Hamburg

Power Rating Breakdown

45.7

Overall

Attack 47.3

Defense 50.6

Form 40.5

Consistency 44.8

Power Rating Breakdown

41.5

Overall

Attack 47.5

Defense 40.2

Form 32.9

Consistency 49.3

Strength of Schedule

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

League Difficulty

59.5 vs 91.0

Opponent Quality

54.9 vs 66.0

Elite Opponent Record

33% vs 0%

Westerlo

Hamburg

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

Genk A

Belgian First Division A

0 - 3 L

54%

OHL H

Belgian First Division A

3 - 3 D

35%

Antwerp H

Belgian First Division A

2 - 4 L

40%

OHL A

Belgian First Division A

2 - 0 W

40%

Genk H

Belgian First Division A

1 - 2 L

49%

Standard A

Belgian Jupiler Pro League

2 - 1 W

72%

Charleroi H

Belgian Jupiler Pro League

2 - 0 W

57%

Standard A

Belgian Jupiler Pro League

0 - 0 D

72%

Club Brugge H

Belgian Jupiler Pro League

1 - 2 L

78%

OHL A

Belgian Jupiler Pro League

1 - 0 W

52%

Opponent Breakdown

League

Score

Opp. Quality

Freiburg H

German Bundesliga

3 - 2 W

67%

Frankfurt A

German Bundesliga

2 - 1 W

67%

Hoffenheim H

German Bundesliga

1 - 2 L

65%

Bremen A

German Bundesliga

1 - 3 L

67%

Stuttgart A

German Bundesliga

0 - 4 L

75%

Augsburg H

German Bundesliga

1 - 1 D

66%

Dortmund A

German Bundesliga

2 - 3 L

76%

Köln H

German Bundesliga

1 - 1 D

57%

Wolfsburg A

German Bundesliga

2 - 1 W

55%

Leverkusen H

German Bundesliga

0 - 1 L

65%

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: 51.3 vs 59.5), making the raw statistics a reliable basis for comparison.

Both teams are evenly matched in attack, with Westerlo averaging 1.4 and Hamburg averaging 1.3 goals per match.

Westerlo has the defensive edge, conceding 1.5 per match compared to Hamburg's 1.9.

Westerlo has struggled against elite opposition, winning only 1 of 3 matches. When the stakes are highest, their performance drops significantly.

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

Based on the combined statistics, expect 3.0 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

Westerlo

Hamburg

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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