His repeatable signature. A step only appears if its reliability score (sample size × match coverage) reaches at least Medium confidence — pattern mining, not anecdotes.
RECEIVE
Left Wing, Middle third — between the lines — mostly in the attacking third (51% of his 73 passes)
56% completion · 73× in 8/8 matches
↓
TURN / BEAT MAN
face forward in the pocket
41% won · 17× in 7/8 matches
↓
FINISH
arrive and shoot from central zones
0 goals · 0.68 xG · 11× in 5/8 matches
Signature: Receive → Turn / Beat Man → Finish — the only steps proven repeatable this season (3 of 4 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: create — 0× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
In possession
In possession
What he does with the ball: build-up, progression, creation, carrying and finishing.
29 tracked carries (5.3/90, 10 progressive, 266m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). this counts every touch-carry, not just his dribble attempts below — a fuller picture of how much of his ball-carrying is control-and-move rather than beating a man.
progressivelateral/short% of his 29 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 22m
By zone — where the carry started → where it ended
First (21)Second (8)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Dribbles (1v1s)
Does he carry to create or drift wide? Dribbles by channel. Season rate: 3.13 dribbles attempted /90.
brighter band = more dribbles · own goal left, attacking →
INSIDE 24%
OUTSIDE 76%
Dribble location — 4 inside · 13 outside
Right Wing
1 · 6%
Right Half-Space
1 · 6%
Central
1 · 6%
Left Half-Space
2 · 12%
Left Wing
12 · 71%
Vision AI His carries cluster wide — a drifting playmaker.
02
How does he create chances?
0 key passes (0.00/90), 0 of them assists — where his chance creation specifically comes from, 18 zones (6×3), showing his share of key passes originating there.
Chance creation — key pass origin zone share
Filter:
chance creation (0)assist (0)% of the selected group's key passes originating in each zone
08
Where does he become vulnerable?
42 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.
23
attacking third (cheap)
15
middle third
4
own third (dangerous)
Vision AI 55% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.74 danger-index/90 · 0.225 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
06
Tactical patterns — how his football actually looks
Three clustered sequence diagrams from his own event data — his three busiest routes: the way he progresses, the pattern behind his chances, and where a turnover turns dangerous.
own goal left, attacking →
Where does he lose the ball most?
This is a RATE, not a raw count — the share of his touches in each zone that end in a turnover, so a zone he simply plays in more often doesn't automatically look riskier. His weakest zone is the left half-space in the final third: 67% of his 9 touches there are lost (6 times).
05
Does he carry inside or outside — his ball-carries across the pitch
Four arrows, one per movement class of his ball-carries: outside→inside (cutting in with the ball), inside→outside (carrying wide), outside→outside (down the touchline) and inside→inside (through the middle). Each count is measured from the carry's real start and end coordinates.
own goal left, attacking →
Across 29 ball-carries, his dominant tendency is that he drives along the touchline (59%). He carries from outside into the middle 1 times and out toward the touchline 3 — a width-holder who drives down the line.
04
What happens right after he carries the ball
Every carry's end point matched against his own very next pass or shot in the same match, when one starts almost exactly there — the direct continuation of that touch, not a separate stat. “No clean link” means no pass or shot of his own started close enough to count (often the carry ended in a tackle or a loss); it isn't a claim about exactly what happened, only that nothing traceable followed.
Shot
1 · 3%
Progressive / key pass
3 · 10%
Simple pass
10 · 34%
No clean link
15 · 52%
Of 29 carries, 3% flow straight into a shot of his own, 10% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 52% have no clean link to a next touch of his own close to where the carry ended.
07
Crosses & Cutbacks
4 crosses (0.74/90, 0 completed) and 3 cutbacks (0.55/90, 1 completed) — two separate wide-delivery patterns into the box, each its own map with a completed/failed filter. Neither is a tagged event, so both are inferred from pass geometry — the intended end point of a failed attempt is still real data (an interception doesn’t erase where the ball was aimed): a cross is a pass aimed into the box starting from a wide channel; a cutback starts almost on the byline but is squared back rather than driven forward, aimed centrally around the box. The completed-cross count was checked against this platform’s own real match-level cross totals and lands within about 1 cross of the true count.
Crosses — close-up on the final third
Cutbacks — close-up on the final third
completedfailed (dashed)close-up on the box — attacking ↑ toward goal
100 defensive actions across the season (18.4/90). Where he wins the ball, and how — the core question for a defender. Aerial duels are not recorded for this competition, so aerial dominance is not measured here.
click a card to isolate that action type · own goal left, attacking →
7
tackles · 14% won
13
interceptions · 2.4/90
18
recoveries · 3.3/90
5
clearances · 0.9/90
0
blocks
49
avg action height
26
won high (att 3rd)
41
middle third
33
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 38 proactive ball-wins (7.0/90), tackle success 14%. He defends high, stepping out to intercept — suits a high line.
Defensive work in the attacking half
Ball-wins in the attacking half only (own half vs. attacking half, a simple 2-way split, not the usual thirds) — the clearest single signal of how much he presses and recovers the ball high up the pitch.
49
attacking-half actions · 9.02/90
09
Against Different Pressing Intensities
Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Brandon Thomas-Asante keep producing when the game is tight and the press is high? Tiers of ~2-4 matches — directional evidence, not proof.
press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 2.8, 2m)
0.09
0.0
0.00
100%
Mid press (PPDA 3.2, 2m)
0.33
2.1
0.00
25%
Low press (PPDA 5.0, 4m)
0.25
0.7
0.00
50%
Team
Team context
How much of the team runs through him, and what changes without him.
Insufficient sample: Brandon Thomas-Asante played nearly every Coventry match in the loaded data, so there is no meaningful "without him" comparison yet. This section fills in as more matches (and the rest of the season) are scraped.
12
His Share of the Team
Of everything Coventry produced this season, the categories where the biggest share ran through Brandon Thomas-Asante specifically — his share of the team total, not a per-90 rate.
category
share
him / team
interceptions
9%
13 / 137
shots
5%
11 / 222
successful take-ons
5%
7 / 144
Recruitment
Style and verdict
Style profile, closest comparables, and the summary.
Not raw event counts — football style scores: weighted models scored 0–100 against the 247 attacking mids in the pool (min 450 min). This is what separates players who post similar numbers but play differently. Proxy dimensions are inferred from on-ball data; true off-ball running / under-pressure context is not measured.
Half-space creator14%Advanced playmaker (8)9%
Why Half-space creator 14%: a weighted blend of dribbling 69 (weight 15%) + box threat 26 (weight 15%) + final-third threat 10 (weight 30%) + creativity 4 (weight 40%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
passing directness, defensive aggression
Strong
—
Average
dribbling, ball-winning, territory (wide vs central), press resistance, transition
aerial ability, marking, off-ball running — not in event data
Passing directness
100
Defensive aggression
87
Dribbling
69
Ball-winning
64
Territory (wide vs central)
58
Press resistance ~proxy
47
Transition ~proxy
44
Box threat
26
Retention
21
Carrying
18
Final-third threat
10
Line-breaking
7
Build-up
6
Progression
5
Creativity
4
Crossing
3
Through-balls ~proxy
3
Receiving zones
3
14
Similar Players — in style space
Closest comparables measured on the style scores above, within the same position family — so it separates how players are alike, not just how much they touch the ball. Each line explains the shared strength and the divergent mechanism. A light physical-profile term (height / weight; this player: 182 cm / 72 kg) is included at a quarter of one style axis's weight — enough to break ties between stylistic twins, not to override style.Scope: pooled across the Premier League, Bundesliga, La Liga, Ligue 1 and Serie A, percentiled within each player's own league before comparing — a match from another league is marked with its league name.
Style, not quality:a high match here means two players tend to produce the ball in similar ways — it is not a ranking, a scouting recommendation, or a claim that they are equally good.
Vítinha Genoa · Serie A · 178 cm / 74 kg
88%
Driven by: crossing (13%), build-up (13%), creativity (11%). Different mechanism — Thomas-Asante more via dribbling, defensive aggression; Vítinha more via box threat.
Cyril Ngonge Monza · Serie A · 179 cm / 73 kg
84%
Driven by: build-up (16%), crossing (16%), creativity (12%). Different mechanism — Thomas-Asante more via defensive aggression, passing directness; Ngonge more via line-breaking, receiving zones.
Cala Espanyol · La Liga · 175 cm / 69 kg
83%
Driven by: crossing (17%), defensive aggression (13%), through-balls (12%). Different mechanism — Thomas-Asante more via territory (wide vs central); Cala more via build-up, receiving zones.
Evann Guessand Crystal Palace · 188 cm / 82 kg
82%
Driven by: progression (13%), crossing (12%), final-third threat (11%). Different mechanism — Thomas-Asante more via passing directness, defensive aggression; Guessand more via retention, receiving zones.
Kevin Schade Brentford · 183 cm / 74 kg
78%
Driven by: creativity (11%), receiving zones (10%), progression (10%). Different mechanism — Thomas-Asante more via dribbling, press resistance; Schade more via box threat, build-up.
Kareem Tunde Levante · La Liga · 177 cm
77%
Driven by: creativity (16%), defensive aggression (12%), progression (11%). Different mechanism — Thomas-Asante more via passing directness, dribbling; Tunde more via build-up, crossing.
15
Summary
Brandon Thomas-Asante is a half-space creator: 0.00 key passes /90, 1.1 progressive passes, 0 goals from 0.68 xG. A between-the-lines creator. [Off-ball movement into pockets needs tracking.]
Based on 8 matches (489 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a half-space creator — best used in a system built around that identity.
His biggest room for growth is creativity — even a modest improvement there would meaningfully lift his overall half-space creator profile.
✨ This report is interactive
Click any stat card to filter its map, hover a dot for the exact match, and use the dropdowns to slice passes zone-to-zone. Nothing here is static.