Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Michael Schulz

Michael Schulz (born 3 September 1961) is a German former professional footballer who played as a central defender. He played 243 matches in the Bundesliga for Borussia Dortmund, Werder Bremen and 1. FC Kaiserslautern and scored eight goals.

Career, Honours & Club career

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Michael Schulz. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Honours

9 related topics

Club career

3 related topics

Post-playing career

2 related topics

International career

1 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

1967–1972
TuS Nettlingen
1972–1980
TuS Sulingen
1980–1984
TuS Syke
1984–1987
VfB Oldenburg
1987–1989
1. FC Kaiserslautern
1988
West Germany Olympic

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Club career

International career

Post-playing career

"Curse" of Michael Schulz

Honours

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Michael Schulz

Nodes32
Edges31
Triples34
Avg. degree1.94
Density0.0625
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Michael Schulz

Top relations

related to Club career · 15
Michael Schulz → Borussia Dortmund, Bundesliga, Christian Schulz, Dortmund, Fellow Bremen, German, He, In Panini's World Championship, Nico Schulz, Schulz, Schuuuuuuuuuulz, The Charles Bronson, Werder Bremen, West, Witten
related to External links · 5
Michael Schulz → National-Football-Teams, Olympics, Schulz, Sports-Reference, WorldFootball
1967–1972 · 1
Michael Schulz → TuS Nettlingen
1972–1980 · 1
Michael Schulz → TuS Sulingen
1980–1984 · 1
Michael Schulz → TuS Syke
1984–1987 · 1
Michael Schulz → VfB Oldenburg
1987–1989 · 1
Michael Schulz → 1. FC Kaiserslautern
1988 · 1
Michael Schulz → West Germany Olympic
1989–1994 · 1
Michael Schulz → Borussia Dortmund
1992–1993 · 1
Michael Schulz → Germany

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

schulz german dortmund werder bremen borussia 1994 michael 1989 germany west played fc kaiserslautern team won cup 1997 1992 1993

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Michael Schulz1967–1972TuS Nettlingen1.00infobox
Michael Schulz1972–1980TuS Sulingen1.00infobox
Michael Schulz1980–1984TuS Syke1.00infobox
Michael Schulz1984–1987VfB Oldenburg1.00infobox
Michael Schulz1987–19891. FC Kaiserslautern1.00infobox
Michael Schulz1988West Germany Olympic1.00infobox
Michael Schulz1989–1994Borussia Dortmund1.00infobox
Michael Schulz1992–1993Germany1.00infobox
Michael Schulz1994–1997Werder Bremen1.00infobox
Michael SchulzDate of birth(1961-09-03) 3 September 1961 (age 64)1.00infobox
Michael SchulzHeight1.94 m (6 ft 4 in)1.00infobox
Michael SchulzPlace of birthWitten, West Germany1.00infobox
Michael SchulzPositionCentre-back1.00infobox
Michael SchulzYearsTeam1.00infobox

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.