العربيةSeason2025/262026 · this seasonAll seasons
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Player reportSerie A 2026

Boulaye Dia

Rennes
False 9 (dropping forward) ST
average position x=57 — drops deep · 2.29 key passes/90
strikerfalse 9box threatfinishing
157
minutes
2 apps
0
goals
0.00 xG
0.0
xG
0 shots
0
shots
0.00 xG/shot
0
box entries
0.00/90
4
key passes
2.29/90
1
dribbles
100% won
86%
pass completion
44 passes
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Boulaye Dia has played 2 matches (157 min) so far, so sections that need a bigger sample to say anything reliable are not shown here — they are missing on purpose, not broken. See all seasons combined →
01

What Patterns Define Him?

His repeatable signature. A step only appears if its reliability score (sample size × match coverage) reaches at least Medium confidence — pattern mining, not anecdotes.

LINK
lay-off and combine
4 key passes · 86% completion · 44× in 2/2 matches
Signature: Only Link shows a proven, repeatable pattern this season — too little evidence yet (2 matches loaded) for a fuller signature chain.
Not a pattern: receive / move — 0× (insufficient confidence, hidden — not enough evidence yet); finish — 0× (insufficient confidence, hidden — not enough evidence yet); convert — 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.

02

How does he create chances?

4 key passes (2.29/90), 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:
25%25%25%25%
chance creation (4)assist (0)% of the selected group's key passes originating in each zone
Box deliveries — key passes reaching the final third, by flank
from the left (2)from the right (2)of 4 key passes landing in the final thirdattacking ↑ toward goal
03

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 do his chances come from?
Of 4 key passes, his busiest route is a delivery where he switches from the right hs to the left hs, advancing it forward in the middle third — 1 times. The receiver isn't identifiable in this data, only where the pass started and ended.
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 central in the middle third: 11% of his 9 touches there are lost (1 times).
—1 touch · too few—1 touch · too few—1 touch · too few—0 touches · too few—0 touches · too few—3 touches · too few—4 touches · too few11%1/9 lost—7 touches · too few—3 touches · too few—2 touches · too few—3 touches · too few—5 touches · too few—4 touches · too few—1 touch · too fewRWRHSCLHSLWDEFMIDATT
Team

Team context

How much of the team runs through him, and what changes without him.

04

Impact on the Team

Rennes's output per match with Boulaye Dia (2 matches) versus without him (7 matches). Insufficient evidence — the without-sample is only 7 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.

WITH (2)
WITHOUT (7)
Δ
goals for /match
1.00
2.86
-1.86
xG for /match
0.88
0.00
+0.88
goals against /match
0.00
1.00
-1.00
points /match
3.00
2.71
+0.29
05

His Share of the Team

Of everything Rennes produced this season, the categories where the biggest share ran through Boulaye Dia specifically — his share of the team total, not a per-90 rate.

category
share
him / team
expected goals (xG)
6%
3.6 / 60.6
expected assists (xA)
6%
1.8 / 30.8
zone-14 entries
6%
15 / 265
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

06

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 299 strikers 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.

False 960%Target man42%Poacher33%Pressing forward27%
Why False 9 60%: a weighted blend of build-up 90 (weight 25%) + creativity 74 (weight 30%) + progression 28 (weight 20%) + box threat 22 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
build-up
Strong
retention, crossing, creativity
Average
receiving zones, ball-winning, through-balls, final-third threat, press resistance, line-breaking
Weak
dribbling, carrying, territory (wide vs central), progression, defensive aggression, transition, box threat, passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Build-up
90
Retention
84
Crossing
77
Creativity
74
Receiving zones
65
Ball-winning
60
Through-balls ~proxy
59
Final-third threat
58
Press resistance ~proxy
56
Line-breaking
41
Dribbling
37
Carrying
36
Territory (wide vs central)
34
Progression
28
Defensive aggression
26
Transition ~proxy
26
Box threat
22
Passing directness
17
07

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: 180 cm / 75 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 Serie A, Bundesliga, La Liga, Ligue 1 and Premier League, 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.

Danny Welbeck Chelsea · Premier League · 185 cm / 73 kg
75%
Driven by: build-up (24%), defensive aggression (13%), retention (12%). Different mechanism — Dia more via through-balls, crossing; Welbeck more via box threat.
Martijn Kaars St. Pauli · Bundesliga 25/26 · 183 cm / 74 kg
73%
Driven by: defensive aggression (19%), passing directness (14%), build-up (14%). Different mechanism — Dia more via ball-winning, final-third threat; Kaars more via territory (wide vs central), carrying.
Evanilson Bournemouth · Premier League · 183 cm / 80 kg
72%
Driven by: retention (19%), build-up (19%), passing directness (15%). Different mechanism — Dia more via build-up, crossing; Evanilson more via box threat, transition.
Gonzalo García Fulham · Premier League · 182 cm / 74 kg
67%
Driven by: build-up (35%), defensive aggression (14%), retention (11%). Different mechanism — Dia more via through-balls, crossing; García more via territory (wide vs central), progression.
Vladyslav Vanat Girona · La Liga 25/26 · 182 cm / 69 kg
66%
Driven by: defensive aggression (23%), transition (13%), passing directness (13%). Different mechanism — Dia more via ball-winning, final-third threat.
Gonçalo Ramos AC Milan · 185 cm / 79 kg
59%
Driven by: build-up (33%), retention (13%), transition (13%). Different mechanism — Dia more via through-balls, crossing; Ramos more via box threat, defensive aggression.
08

Summary

Boulaye Dia is a false 9: 0 goals from 0.00 xG (+0.00 vs expected), 0 shots, 0 box entries. A clinical finisher. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]

Based on 2 matches (157 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a false 9 — best used in a system built around that identity. His biggest room for growth is box threat — even a modest improvement there would meaningfully lift his overall false 9 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.

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