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Player reportLigue 1 2026

Tyler Morton

Lyon
Half-space creator CM
45% of actions in the half-spaces
Capability Analysis
Successful Dribble60%vs 31 central mids
"Can he beat a man in a straight 1v1?"
Successful take-ons /900.3926%
Take-on success63.64%94%
Progression65%vs 31 central mids
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /903.5955%
Line-breaking passes /901.6768%
Threat added by passing /901.13xT77%
Pass accuracy84.33%61%
Ball-Carrying72%vs 31 central mids
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /905.7984%
Carry distance /90153.58m84%
Successful take-ons /900.3926%
Take-on success63.64%94%
Chance Creation36%vs 31 central mids
"Does he create real chances for others?"
Expected assists /900.04xA16%
Through balls /900.00%
Threat added by passing /901.13xT77%
Box entries (pass) /901.4552%
central middeep-lying playmakerprogressionbox-to-box
548
minutes
7 apps
33
progressive passes
5.4/90
84%
pass completion
289 passes
6
key passes
0.99/90
2
box entries
0.33/90
37
final-3rd entries
6.1/90
1
dribbles
0% won
48
possessions lost
2.17 danger/90
Overview

The player

Who he is and how he compares with his peers.

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
Central, Middle third — mostly in the middle third (66% of his 289 passes)
84% completion · 289× in 7/7 matches
↓
PROGRESS
drive or pass into the final third
5.4 prog/90 · 33× in 7/7 matches
↓
CREATE / FINISH
cut-back or shot from inside
0.99 key passes /90 · 0 goals · 10× in 4/7 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.
19

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 →
41
passes / match
1.0
dribbles / match
10–60
pass range (matches)
1–1
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (10 at the low end, 60 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.

09

How dangerous are his carries?

Real ball-carries

82 tracked carries (13.5/90, 13 progressive, 755m 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.

5%2%7%1%13%16%10%1%18%9%12%5%
progressivelateral/short% of his 82 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 37m
By zone — where the carry started → where it ended
9Outside → Inside
61Inside → Inside
8Outside → Outside
4Inside → Outside
First (27)Second (22)Third (19)Fourth (14)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Only 1 dribble attempted this season — too little volume to map a location pattern.

10

How does he build & move the ball?

How he moves the ball — his 4 busiest progression routes, not where every pass starts and ends separately. Arrow width = how often, colour = xT gained, dashed = switch of play. The full breakdown is in the lane matrix below.

own goal left, attacking →
Lane transition matrix — when he receives in a lane, where does it go?
TO →RWRHSCLHSLWRW1242%533%417%28%1RHS4132%1329%1224%107%37%3C8818%1619%1730%2623%2010%9LHS693%26%419%1341%2832%22LW3212%419%669%22FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: central areas in the middle third → central areas in the final third — 3 progressive passes (14% of his progression) at 0.128 xT each. He keeps it in the same lane.

His progression is inward: 41% of progressive passes move the ball toward the middle versus 18% going wider — he cuts in rather than holding width.

11% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 12 line-breaking passes and 37 final-third entries, 3.3 total xT added.

Origin and destination are measured on the same event row — no receiver inference. Receiver identity is not recoverable from this data source.
All passes — origin zone share
Filter: from to
3%6%6%4%1%1%9%17%11%4%1%4%13%12%4%3%
completedincomplete289 passes · any zone → any zone · own goal left, attacking →
289
passes
84%
completed
47
lost
Vision AIIn line with his 84% season completion rate.
03

How does he progress play?

How much he drives the ball forward. Progressive = completed pass advancing ≥15 toward goal.

33
progressive · 5.4/90
37
final-third entries · 6.1/90
2
box entries · 0.33/90
19
progression index /90
Progression index: one composite number — progressive passes + progressive carries + 2% of total distance progressed + 8× positive xT added, all per 90. Weights VOLUME and THREAT together rather than counting progressive actions alone.
04

How does he create chances?

6 key passes (0.99/90), 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:
20%20%20%40%
chance creation (5)assist (0)% of the selected group's key passes originating in each zone
12

Where does he become vulnerable?

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

23
attacking third (cheap)
21
middle third
4
own third (dangerous)
Vision AI 48% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 2.17 danger-index/90 · 0.275 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
13

What is his passing profile?

289
passes attempted
40%
mostly forward
55%
mostly short
Direction
Forward
116 · 40%
Sideways
104 · 36%
Backward
69 · 24%
Length (completed)
Short (<15m)
133 · 55%
Medium
81 · 33%
Long (>30m)
28 · 12%
11

Preferred Progression Routes — xT-weighted

His progressive passes as zone→zone routes, weighted by expected threat (xT) added — arrow width and the number are the total xT generated on each route, not just how often he plays it. This is where he actually moves the needle.

0.480.310.290.280.280.26
own goal left, attacking →
Highest-value routes (xT)
0.48
Central Mid third → Central Att third
3 passes
0.31
Central Mid third → Right Wing Att third
3 passes
0.29
Right Wing Att third → Left Half-Space Att third
1 passes
0.28
Left Half-Space Mid third → Left Half-Space Att third
2 passes
0.28
Left Half-Space Att third → Right Half-Space Att third
1 passes
0.26
Central Def third → Right Half-Space Att third
1 passes
07

Where Does He Receive?

The zones where Tyler Morton 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
22%
Primary
Central, Middle third
19%
Secondary
Left Half-Space, Middle third
14%
Third
Right Half-Space, Middle third
These are the zones where he collected the ball most.
08

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Tyler Morton 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:
3133934131032749311391817114
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.

3%6%6%4%1%1%9%17%11%4%1%4%13%12%4%3%
own goal left, attacking →
14

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.

6Key pass
3Cross
2Cutback
33Progressive
39Long ball
22Switch
By zone — where the pass started → where it landed
17Outside → Inside
133Inside → Inside
27Outside → Outside
65Inside → Outside
By direction
116Forward
69Backward
104Sideways
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 →
How does he progress the ball forward?
His most common route for progressing play: he plays straight through the central, advancing it forward in the middle third — 3 passes worth 0.48 xT.
Where do his chances come from?
Of 6 key passes, his busiest route is a delivery where he switches it out from the right hs to the right wing, 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 right half-space in the final third: 75% of his 8 touches there are lost (6 times).
—3 touches · too few—7 touches · too few0%0/24 lost0%0/14 lost—4 touches · too few—7 touches · too few15%6/39 lost6%4/64 lost9%5/54 lost15%4/26 lost—7 touches · too few75%6/8 lost50%4/8 lost40%4/10 lost50%7/14 lostRWRHSCLHSLWDEFMIDATT
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 82 ball-carries, his dominant tendency is that he carries through central areas (74%). He carries from outside into the middle 9 times and out toward the touchline 4 — a genuine inside forward who cuts in with the ball.
06

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
0 · 0%
Progressive / key pass
7 · 9%
Simple pass
68 · 83%
No clean link
7 · 9%
Of 82 carries, 0% flow straight into a shot of his own, 9% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 9% 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.

16

How & where does he defend?

59 defensive actions across the season (9.7/90). 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 →
8
tackles · 25% won
3
interceptions · 0.5/90
21
recoveries · 3.4/90
4
clearances · 0.7/90
3
blocks
42
avg action height
10
won high (att 3rd)
27
middle third
22
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 32 proactive ball-wins (5.3/90), tackle success 25%. He defends high, stepping out to intercept — suits a high line.
15

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Tyler Morton keep producing when the game is tight and the press is high? Tiers of ~2-3 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 4.7, 2m)
1.04
7.2
0.96
0%
Mid press (PPDA 5.7, 2m)
0.94
4.1
0.58
0%
Low press (PPDA 7.0, 3m)
1.35
4.8
1.32
0%
Team

Team context

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

17

Impact on the Team

Lyon's output per match with Tyler Morton (7 matches) versus without him (1 matches). Insufficient evidence — the without-sample is only 1 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.

WITH (7)
WITHOUT (1)
Δ
goals for /match
1.57
2.00
-0.43
xG for /match
1.39
1.27
+0.12
goals against /match
0.86
1.00
-0.14
points /match
1.57
3.00
-1.43
18

His Share of the Team

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

category
share
him / team
zone-14 entries
17%
39 / 232
final-third entries
13%
223 / 1681
box entries
12%
52 / 436
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

20

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.

Deep-lying playmaker79%Tempo controller79%Advanced playmaker (8)61%Box-to-box runner59%
Why Deep-lying playmaker 79%: a weighted blend of build-up 77 (weight 30%) + progression 77 (weight 30%) + retention 74 (weight 20%) + press resistance 69 (weight 20%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
through-balls
Strong
final-third threat, carrying, build-up, progression, passing directness, transition, line-breaking, retention, receiving zones
Average
press resistance, dribbling, creativity, crossing, ball-winning
Weak
defensive aggression, box threat, territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Through-balls ~proxy
88
Final-third threat
79
Carrying
78
Build-up
77
Progression
77
Passing directness
77
Transition ~proxy
76
Line-breaking
75
Retention
74
Receiving zones
70
Press resistance ~proxy
69
Dribbling
51
Creativity
48
Crossing
45
Ball-winning
41
Defensive aggression
29
Box threat
28
Territory (wide vs central)
11
21

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: 185 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 Ligue 1, Bundesliga, La Liga, Premier League 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.

Ísak Bergmann Jóhannesson Koln · Bundesliga · 180 cm / 72 kg
85%
Driven by: through-balls (11%), territory (wide vs central) (11%), final-third threat (10%). Different mechanism — Morton more via ball-winning; Jóhannesson more via crossing, creativity.
Joshua Kimmich Bayern · Bundesliga · 177 cm / 75 kg
85%
Driven by: transition (11%), final-third threat (10%), progression (10%). Different mechanism — Kimmich more via creativity, receiving zones.
Vitinha PSG · 172 cm / 64 kg
85%
Driven by: transition (13%), territory (wide vs central) (10%), build-up (10%). Different mechanism — Vitinha more via creativity, receiving zones.
Declan Rice Arsenal · Premier League · 188 cm / 76 kg
83%
Driven by: transition (14%), final-third threat (12%), progression (10%). Different mechanism — Rice more via ball-winning, territory (wide vs central).
Nikola Moro Bologna · Serie A · 183 cm / 77 kg
83%
Driven by: transition (13%), territory (wide vs central) (11%), build-up (10%). Different mechanism — Morton more via through-balls; Moro more via crossing, passing directness.
Angelo Stiller Stuttgart · Bundesliga · 183 cm / 77 kg
79%
Driven by: transition (12%), build-up (11%), final-third threat (9%). Different mechanism — Stiller more via creativity, defensive aggression.
22

Summary

Tyler Morton is a deep-lying playmaker / tempo controller: 5.4 progressive passes, 0.99 key passes /90, 2 box entries, 0 goals from 0.19 xG. A box-to-box contributor across every phase.

Based on 7 matches (548 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a deep-lying playmaker / tempo controller — best used in a system built around that identity. His biggest room for growth is press resistance — even a modest improvement there would meaningfully lift his overall deep-lying playmaker 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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