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⚠️ 3 predictable outlets: Emil Peter Forsberg → Ludwig Augustinsson (53.8% of their passing); John Guidetti → Martin Olsson (66.7% of their passing); Pontus Jansson → John Guidetti (66.7% of their passing)
Tactical Metrics
| Player | Engine | Bridge | Dependency |
|---|---|---|---|
| Ludwig Augustinsson | 84.6% | 81.6% | → Albin Ekdal (19.4%) |
| Emil Krafth | 69.2% | 24.5% | → Sebastian Larsson (23.5%) |
| Victor Lindelöf | 69.2% | 12.8% | → Emil Krafth (28.2%) |
| Sebastian Larsson | 100% | 100% | → Viktor Claesson (19.4%) |
| Viktor Claesson | 84.6% | 61.1% | → Emil Krafth (30%) |
| Andreas Granqvist | 76.9% | 92.3% | → Ludwig Augustinsson (27.6%) |
| Albin Ekdal | 76.9% | 18.5% | → Ludwig Augustinsson (28%) |
| Robin Olsen | 76.9% | 16.4% | → Victor Lindelöf (20%) |
| Ola Toivonen | 61.5% | 8.6% | → Marcus Berg (27.3%) |
| Emil Peter Forsberg | 69.2% | 15.3% | → Ludwig Augustinsson (53.8%) ⚠️ |
| Marcus Berg | 69.2% | 57.5% | → Viktor Claesson (27.3%) |
| Martin Olsson | 46.2% | 24.9% | → Sebastian Larsson (33.3%) |
| John Guidetti | 38.5% | 13.1% | → Martin Olsson (66.7%) ⚠️ |
| Pontus Jansson | 46.2% | 10.3% | → John Guidetti (66.7%) ⚠️ |
Engine = share of teammates directly connected to (degree centrality). Bridge = how much play is forced through this player (betweenness). ⚠️ flags a player sending ≥50% of their passes to one target.
AI Tactical Dossier
Turns the metrics above into a plain-English read, written from this data only.
Data: StatsBomb Open Data (public, non-commercial license), stored in Supabase · Completed passes only · Node size = total involvement (out + in volume) · Line thickness = pass volume between the pair.