Borussia Dortmund

The authoritative final table (full season), centred on Borussia Dortmund.

Each gene is a 0–100 score — the team's league percentile across the metrics that define that phase of play. It distils the whole report into an identity fingerprint: the taller the gene, the more that trait defines them.

Every pass linked to its likely receiver (the next same-team touch), aggregated into player-pair combinations at each player's average position. Line width = how often the pair combines; colour = threat generated per pass (blue low → red high). Hover a line for the pair, or click a player to isolate their connections.

Fifteen style metrics across five domains — Possess, Disrupt, Finish, Press, Defend — each a percentile against the rest of the league. Metrics marked ~proxy use the closest available event-data signal where the standard definition needs data this feed doesn't carry (explicit pressure events, offside/keeper-sweep incidents).

Field tilt = share of final-third touches between the two sides across Borussia Dortmund's matches, the standard proxy for territorial dominance. Plotted against points per game for every side in the league — the real question isn't just who controls territory, it's whether that control actually converts into results. Dashed lines mark the league average on each axis; Borussia Dortmund highlighted. Hover any dot for the team.

Every pass and carry Borussia Dortmund makes, binned into the 15 pitch zones (three thirds × five vertical lanes) and shown as a % share of all on-ball actions.

The board is the picture: each flow line is one of their most-repeated build-up passes — it brightens from blue to red toward its destination (where the threat lands), its width is how often it is played, and travelling particles show the direction. Toggle the overlays to isolate lateral, forward or switch passes; hover any line and the sidebar names its dominant passer.

Origin Fans — where they can actually go

The four busiest build-up origins, each fanning into the directions they really pass in. Blade width is how often that direction is used, colour is the threat it adds. The spread is the point: a narrow fan is a predictable side you can press on one shoulder, a wide one keeps its options open.

Not just how many progressive passes, but where they start, who plays them, and whether they actually penetrate. 100 progressive passes across 2 matches (50.0/game).

A 90% pass completion can hide a sideways habit. Grading every pass by the threat it adds separates value creation from safe circulation.

31 shots for 3.2 xG (1.60/game, #10 in the league). Size = shot xG · gold = goal. Hover a shot for the player, or filter to one below.

All 4 goals plotted at the point of the shot, coloured by how the chance began. Hover a goal for the scorer, or filter to one player below.

Each flow line is one of their most-repeated creation patterns (key passes — the pass before a shot). Watch the lines brighten from blue to red as they converge on the danger zone, which glows and pulses where the ball arrives; width = how often, particles show direction. Toggle to isolate the side it comes from; hover any line and the sidebar names its creator.

Danger Funnel — which service carries threat

Every key pass pooled by where it was played FROM, then drawn with its arrow width set by total xT rather than by count. A zone that produces a lot of cheap balls shrinks; one that produces a few decisive ones dominates. Where this disagrees with the volume map, the volume map is the misleading one.

Every goal Borussia Dortmund scored across the loaded matches, broken down by how it was created and finished.

41 progressive carries this season across the whole squad (15% of 276 tracked carries total), grouped into up to 4 spatial patterns by where each carry starts and ends together — not just its origin zone. Median 15m, longest 43m. Most active carrier: Ryerson (7). Filter to one player below.

18 crosses (5 completed) and 12 cutbacks (8 completed) this season across the whole squad — two separate wide-delivery patterns, each its own map with a completed/failed filter. Neither is a tagged event on this data source, so both are inferred from pass geometry — the intended end point of a failed attempt is still real data: a cross starts from a wide channel and is aimed into the box; a cutback starts almost on the byline but is squared back rather than driven forward, aimed centrally around the box.

A composite Pressing Index built from four event-derived dimensions, each ranked against the league. Not one metric — intensity, height, effectiveness and opponent disruption together. The pitch shows every defensive action (the only five events this data records); the white line is the average height that feeds the score. Toggle by action type below, hover any dot for the player.

Every pressing metric, ranked in the league

The report flipped: where do opponents create their threat against Borussia Dortmund? 109 opponent progressive passes and 27 shots faced (1.9 xG against) across the season.

Opponent threat by lane (attacking into Borussia Dortmund)

Every goal Borussia Dortmund conceded across the loaded matches — the opponent's shots in Borussia Dortmund's own matches — plus every individual opponent key pass faced, each drawn as its own real arrow (not zone-clustered) with the % share of each zone behind it.

Every turnover has a location and a cause. This is a rate, not a raw count — the share of pass attempts from each zone that end in a turnover, so a zone they simply play through more often doesn't automatically look riskier. Grey cells are real zones with too few attempts to trust a rate.

How much of the goal threat is manufactured from dead balls — a route to goal that bypasses their open-play mechanism entirely.

Team archetype: Direct / counter high-press. Their closest stylistic matches in the league (cosine similarity on style metrics) — sides that play a similar way.

Ranked by Vision AI Score — the same tactical behavioural evaluation each player's own report page shows (min 60 minutes). Coloured chips are that player's strongest capability blocks.

Chance creation leaders — key passes /90 and box entries.

Crosses and cutbacks — wingers and full-backs only (by real average position, not the raw D/M position code), ranked by combined volume.

Who does the defensive work — tackles, interceptions, recoveries.

Every player with 100+ minutes (10 players).

Each recruitment target is derived directly from the team's weakest areas vs the league — the gap, why it shows in the data, and the profile that closes it.

The nine most-used players (450+ minutes), each with the role their event fingerprint points to — not just their listed position.