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Player reportPremier League 2026

Conor Gallagher

Tottenham
Half-space creator CM
39% of actions in the half-spaces
central midtempo controllerprogressionbox-to-box
293
minutes
6 apps
6
progressive passes
1.8/90
84%
pass completion
140 passes
1
key passes
0.31/90
2
box entries
0.61/90
4
final-3rd entries
1.2/90
7
dribbles
14% won
28
possessions lost
2.01 danger/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Conor Gallagher has played 6 matches (293 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.

RECEIVE
Left Half-Space, Middle third — mostly in the middle third (61% of his 140 passes)
84% completion · 140× in 6/6 matches
↓
PROGRESS
drive or pass into the final third
1.8 prog/90 · 6× in 3/6 matches
↓
CREATE / FINISH
cut-back or shot from inside
0.31 key passes /90 · 1 goals · 7× in 1/6 matches
Signature: Receive → Progress → Create / 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: arrive — 2× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
15

Where is he influential — vs where is he merely present?

Red fill = raw touch territory. Gold rings = zones where his influence (xT added, progression, line-breaks, key passes) outweighs how often he's actually there — one combined map instead of two separate maps to compare by eye. Red with no ring: present but not dangerous. A ring on faint red: rare touches, outsized impact.

own goal left, attacking →
23
passes / match
1.8
dribbles / match
11–46
pass range (matches)
1–2
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (11 at the low end, 46 at the high) — a measure of match-to-match involvement, not pass distance. Dribble range works the same way, for dribbles/carries per match.
In possession

In possession

What he does with the ball: build-up, progression, creation, carrying and finishing.

07

How dangerous are his carries?

Real ball-carries

25 tracked carries (7.7/90, 7 progressive, 226m 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.

12%12%4%8%8%8%4%4%4%28%8%
progressivelateral/short% of his 25 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 22m
By zone — where the carry started → where it ended
3Outside → Inside
9Inside → Inside
6Outside → Outside
7Inside → Outside
First (15)Second (10)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Only 7 dribbles attempted this season — too little volume to map a location pattern.

03

How does he create chances?

1 key passes (0.31/90), 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:
100%
chance creation (1)assist (0)% of the selected group's key passes originating in each zone
09

Where does he become vulnerable?

28 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.

14
attacking third (cheap)
13
middle third
1
own third (dangerous)
Vision AI 50% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 2.01 danger-index/90 · 0.234 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
05

Where Does He Receive?

The zones where Conor Gallagher gets on the ball — his top three ball-collection areas highlighted (gold = primary). Reception is proxied by where his on-ball actions begin (no explicit receiver is recorded).

123
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
15%
Primary
Left Half-Space, Middle third
14%
Secondary
Left Wing, Attacking third
13%
Third
Central, Middle third
These are the zones where he collected the ball most.
06

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Conor Gallagher actually gets on the ball. Hover any zone for its breakdown by action type, its share of all touches, and the exact coordinate range it covers.

Filter:
472323231391625171766
own goal left, attacking → · brighter + higher number = more touches

Passes only — completed vs incomplete, by zone

Same zone grid, restricted to passes so completed/incomplete and match filters actually mean something — a shot or a dribble has no "completed" in the pass sense.

4%12%12%3%4%1%9%6%9%3%5%16%16%
own goal left, attacking →
10

Every Pass This Season — completed vs incomplete

Every pass this season, plotted individually — green = completed, grey (dashed) = incomplete, gold = key pass. Filter by outcome or isolate one match below.

1Key pass
1Cross
1Cutback
6Progressive
7Long ball
4Switch
By zone — where the pass started → where it landed
25Outside → Inside
46Inside → Inside
28Outside → Outside
19Inside → Outside
By direction
43Forward
45Backward
52Sideways
own goal left, attacking →
02

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 1 key passes, his busiest route is a delivery where he switches it out from the central to the left hs in the final 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 right half-space in the final third: 50% of his 8 touches there are lost (4 times).
—3 touches · too few—2 touches · too few—1 touch · too few—1 touch · too few—3 touches · too few5%1/19 lost18%3/17 lost17%3/18 lost18%4/22 lost10%1/10 lost—3 touches · too few50%4/8 lost25%2/8 lost—5 touches · too few10%2/20 lostRWRHSCLHSLWDEFMIDATT
04

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 25 ball-carries, his dominant tendency is that he carries through central areas (36%). He carries from outside into the middle 3 times and out toward the touchline 7 — a width-holder who drives down the line.
08

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 · 4%
Progressive / key pass
0 · 0%
Simple pass
18 · 72%
No clean link
6 · 24%
Of 25 carries, 4% flow straight into a shot of his own, 0% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 24% have no clean link to a next touch of his own close to where the carry ended.
Out of possession

Out of possession

Where and how he defends and presses.

12

How & where does he defend?

65 defensive actions across the season (20.0/90). 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 →
11
tackles · 55% won
4
interceptions · 1.2/90
19
recoveries · 5.8/90
2
clearances · 0.6/90
4
blocks
48
avg action height
9
won high (att 3rd)
40
middle third
16
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 34 proactive ball-wins (10.4/90), tackle success 55%. He defends high, stepping out to intercept — suits a high line.
11

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Conor Gallagher keep producing when the game is tight and the press is high? Tiers of ~2-2 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 4.1, 2m)
0.69
1.5
0.76
0%
Mid press (PPDA 5.0, 2m)
0.43
0.8
0.00
0%
Low press (PPDA 7.3, 2m)
0.52
4.4
0.00
100%
Team

Team context

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

13

Impact on the Team

Tottenham's output per match with Conor Gallagher (6 matches) versus without him (2 matches). Insufficient evidence — the without-sample is only 2 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.

WITH (6)
WITHOUT (2)
Δ
goals for /match
1.33
0.00
+1.33
xG for /match
1.04
0.95
+0.08
goals against /match
1.33
1.00
+0.33
points /match
1.33
0.50
+0.83
14

His Share of the Team

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

category
share
him / team
goals
14%
1 / 7
interceptions
7%
33 / 443
ball recoveries
6%
127 / 2129
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

16

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 383 central 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.

Tempo controller57%Transition runner56%Box-to-box runner55%Deep-lying playmaker51%
Why Tempo controller 57%: a weighted blend of retention 64 (weight 35%) + build-up 62 (weight 30%) + press resistance 51 (weight 20%) + progression 31 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
ball-winning, defensive aggression
Average
retention, build-up, territory (wide vs central), box threat, press resistance, dribbling, crossing, transition
Weak
final-third threat, carrying, progression, receiving zones, line-breaking, passing directness, creativity, through-balls
Unknown
aerial ability, marking, off-ball running — not in event data
Ball-winning
82
Defensive aggression
75
Retention
64
Build-up
62
Territory (wide vs central)
58
Box threat
55
Press resistance ~proxy
51
Dribbling
46
Crossing
42
Transition ~proxy
42
Final-third threat
37
Carrying
32
Progression
31
Receiving zones
30
Line-breaking
27
Passing directness
24
Creativity
23
Through-balls ~proxy
12
17

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: 183 cm / 77 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.

Pablo Ibáñez Alaves · La Liga · 179 cm / 74 kg
79%
Driven by: ball-winning (25%), creativity (16%), through-balls (12%). Different mechanism — Gallagher more via build-up, line-breaking; Ibáñez more via carrying, box threat.
Jon Guridi Sevilla · La Liga · 179 cm / 64 kg
72%
Driven by: creativity (21%), through-balls (12%), receiving zones (10%). Different mechanism — Gallagher more via retention, final-third threat; Guridi more via territory (wide vs central).
Joelinton Newcastle · 186 cm / 81 kg
64%
Driven by: ball-winning (22%), through-balls (20%), progression (13%). Different mechanism — Gallagher more via progression; Joelinton more via dribbling, receiving zones.
Felipe Loyola Pisa · Serie A 25/26 · 180 cm / 76 kg
64%
Driven by: through-balls (17%), ball-winning (11%), crossing (11%). Different mechanism — Gallagher more via territory (wide vs central), crossing; Loyola more via carrying.
Yassin Belkhdim Angers · Ligue 1 · 175 cm / 70 kg
64%
Driven by: creativity (16%), through-balls (13%), ball-winning (11%). Different mechanism — Gallagher more via dribbling, defensive aggression.
Yasin Ayari Brighton · 172 cm / 69 kg
64%
Driven by: creativity (13%), passing directness (13%), ball-winning (12%). Different mechanism — Gallagher more via territory (wide vs central), crossing; Ayari more via through-balls, box threat.
18

Summary

Conor Gallagher is a tempo controller / transition runner: 1.8 progressive passes, 0.31 key passes /90, 2 box entries, 1 goals from 0.71 xG. A box-to-box contributor across every phase.

Based on 6 matches (293 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a tempo controller / transition runner — best used in a system built around that identity. His biggest room for growth is progression — even a modest improvement there would meaningfully lift his overall tempo controller 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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