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Player reportLa Liga 2025/26

Moi Gómez

Osasuna
Advanced playmaker CM
1.10 key passes/90 · 0.95 xT/90
central midadvanced playmaker (8)progressionbox-to-box
1721
minutes
32 apps
111
progressive passes
5.8/90
86%
pass completion
1131 passes
21
key passes
1.10/90
28
box entries
1.46/90
149
final-3rd entries
7.8/90
35
dribbles
40% won
183
possessions lost
2.97 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
Left Half-Space, Middle third — mostly in the middle third (64% of his 1131 passes)
86% completion · 1131× in 32/32 matches
↓
PROGRESS
drive or pass into the final third
5.8 prog/90 · 111× in 27/32 matches
↓
ARRIVE
get into the box late
21 key passes · 28× in 18/32 matches
↓
CREATE / FINISH
cut-back or shot from inside
1.10 key passes /90 · 0 goals · 32× in 13/32 matches
Signature: receive → progress → arrive in the box → create or finish. A box-to-box midfielder judged across every phase.
20

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 →
35
passes / match
1.6
dribbles / match
1–93
pass range (matches)
1–4
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (1 at the low end, 93 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.

12

How dangerous are his carries?

Real ball-carries

348 tracked carries (18.2/90, 55 progressive, 3397m 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.

0%1%6%11%5%5%15%11%2%4%15%14%8%2%
progressivelateral/short% of his 348 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 45m
By zone — where the carry started → where it ended
54Outside → Inside
199Inside → Inside
68Outside → Outside
27Inside → Outside
First (100)Second (98)Third (81)Fourth (69)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Moi Gómez's signature is the dribble. Does he carry outside (down the left wing) or inside (into the half-space / centre)? Every dribble classified by channel. Season rate: 1.83 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 69%
OUTSIDE 31%
Dribble location — 24 inside · 11 outside
Right Wing
5 · 14%
Right Half-Space
7 · 20%
Central
7 · 20%
Left Half-Space
10 · 29%
Left Wing
6 · 17%
Vision AI 31% of his dribbles are in the wide left lane — he attacks the full-back on the outside, then threatens to cut inside onto his right foot.
07

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 →RWRHSCLHSLWRW8162%5028%237%61%11%1RHS14841%6024%3624%359%142%3C25914%3519%4836%9318%4714%36LHS2517%184%1028%7027%6933%84LW2301%31%313%3136%8348%110FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the left wing in the final third → the left half-space in the final third — 10 progressive passes (9% of his progression) at 0.098 xT each. He moves it inside.

His progression is inward: 56% of progressive passes move the ball toward the middle versus 11% going wider — he cuts in rather than holding width.

10% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 53 line-breaking passes and 149 final-third entries, 18.3 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
0%2%4%9%6%1%0%4%11%11%5%0%0%5%12%16%11%1%
completedincomplete1131 passes · any zone → any zone · own goal left, attacking →
1131
passes
86%
completed
162
lost
Vision AIIn line with his 86% season completion rate.
02

How does he progress play?

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

111
progressive · 5.8/90
149
final-third entries · 7.8/90
28
box entries · 1.46/90
26
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.
05

How does he create chances?

21 key passes (1.10/90), 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:
5%5%5%26%11%5%5%21%16%
chance creation (19)assist (0)% of the selected group's key passes originating in each zone
09

Where does he become vulnerable?

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

63
attacking third (cheap)
94
middle third
26
own third (dangerous)
Vision AI 34% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.97 danger-index/90 · 0.310 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?

1131
passes attempted
48%
mostly forward
52%
mostly short
Direction
Forward
540 · 48%
Sideways
355 · 31%
Backward
236 · 21%
Length (completed)
Short (<15m)
505 · 52%
Medium
373 · 38%
Long (>30m)
91 · 9%
04

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.

0.940.910.870.740.700.63
own goal left, attacking →
Highest-value routes (xT)
0.94
Central Mid third → Central Att third
4 passes · 1 to a shot
0.91
Right Half-Space Mid third → Left Half-Space Att third
3 passes
0.87
Left Half-Space Mid third → Right Wing Att third
7 passes
0.74
Left Half-Space Mid third → Left Wing Att third
7 passes
0.70
Right Half-Space Mid third → Right Half-Space Att third
3 passes
0.63
Left Wing Att third → Central Att third
2 passes · 1 to a shot
10

Where Does He Receive?

The zones where Moi Gómez 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
17%
Primary
Left Half-Space, Middle third
17%
Secondary
Central, Middle third
14%
Third
Left Wing, Middle third
These are the zones where he collected the ball most.
11

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Moi Gómez 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:
55613919112917152123131613527461096517
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.

0%2%4%9%6%1%0%4%11%11%5%0%0%5%12%16%11%1%
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.

21Key pass
23Cross
6Cutback
111Progressive
127Long ball
68Switch
By zone — where the pass started → where it landed
147Outside → Inside
422Inside → Inside
164Outside → Outside
236Inside → Outside
By direction
540Forward
236Backward
355Sideways
own goal left, attacking →
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 →
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 — 4 passes worth 0.94 xT.
Where do his chances come from?
Of 21 key passes, his busiest route is a delivery where he plays inside from the left wing toward the central in the final third — 4 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 wing in the final third: 28% of his 40 touches there are lost (11 times).
22%2/9 lost26%5/19 lost5%2/39 lost10%3/30 lost26%9/34 lost21%12/57 lost16%18/116 lost9%18/201 lost8%15/193 lost12%19/156 lost28%11/40 lost18%8/44 lost15%7/46 lost19%11/57 lost24%22/90 lostRWRHSCLHSLWDEFMIDATT
06

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 348 ball-carries, his dominant tendency is that he carries through central areas (57%). He carries from outside into the middle 54 times and out toward the touchline 27 — a genuine inside forward who cuts in with the ball.
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
2 · 1%
Progressive / key pass
38 · 11%
Simple pass
276 · 79%
No clean link
32 · 9%
Of 348 carries, 1% flow straight into a shot of his own, 11% 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.
15

Crosses & Cutbacks

23 crosses (1.20/90, 9 completed) and 6 cutbacks (0.31/90, 4 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
Out of possession

Out of possession

Where and how he defends and presses.

16

How & where does he defend?

244 defensive actions across the season (12.8/90). 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 →
26
tackles · 46% won
14
interceptions · 0.7/90
116
recoveries · 6.1/90
16
clearances · 0.8/90
20
blocks
42
avg action height
37
won high (att 3rd)
112
middle third
95
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 156 proactive ball-wins (8.2/90), tackle success 46%. He defends high, stepping out to intercept — suits a high line.
17

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Moi Gómez keep producing when the game is tight and the press is high? Tiers of ~10-12 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 4.1, 10m)
1.12
5.0
0.76
40%
Mid press (PPDA 5.3, 10m)
1.51
5.2
1.07
33%
Low press (PPDA 9.0, 12m)
2.24
7.2
1.41
50%
Team

Team context

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

18

Impact on the Team

Osasuna's output per match with Moi Gómez (6 matches) versus without him (3 matches). Insufficient evidence — the without-sample is only 3 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.

WITH (6)
WITHOUT (3)
Δ
goals for /match
1.50
0.33
+1.17
xG for /match
1.95
0.65
+1.29
goals against /match
1.83
2.33
-0.50
points /match
1.67
0.33
+1.33
19

His Share of the Team

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

category
share
him / team
zone-14 entries
10%
28 / 275
final-third entries
9%
181 / 2050
half-space entries
7%
83 / 1146
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

21

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 382 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.

Advanced playmaker (8)82%Box-to-box runner79%Transition runner74%Deep-lying playmaker73%
Why Advanced playmaker (8) 82%: a weighted blend of creativity 85 (weight 35%) + progression 92 (weight 25%) + final-third threat 88 (weight 25%) + box threat 22 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
passing directness, line-breaking, transition, progression, final-third threat
Strong
creativity, receiving zones, carrying, through-balls
Average
build-up, defensive aggression, ball-winning, retention, territory (wide vs central), crossing, press resistance, dribbling
Weak
box threat
Unknown
aerial ability, marking, off-ball running — not in event data
Passing directness
97
Line-breaking
94
Transition ~proxy
93
Progression
92
Final-third threat
88
Creativity
85
Receiving zones
84
Carrying
83
Through-balls ~proxy
79
Build-up
68
Defensive aggression
64
Ball-winning
62
Retention
62
Territory (wide vs central)
49
Crossing
49
Press resistance ~proxy
48
Dribbling
43
Box threat
22
22

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: 176 cm / 71 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 La Liga, Bundesliga, Ligue 1, 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.

Luka Modric AC Milan · Serie A · 172 cm / 66 kg
90%
Driven by: transition (19%), progression (11%), passing directness (10%). Different mechanism — Gómez more via territory (wide vs central); Modric more via crossing, build-up.
Sandro Tonali Tottenham · Premier League · 181 cm / 79 kg
88%
Driven by: transition (21%), passing directness (15%), creativity (13%). Different mechanism — Gómez more via territory (wide vs central), line-breaking; Tonali more via box threat.
Angelo Stiller Stuttgart · Bundesliga · 183 cm / 77 kg
86%
Driven by: transition (16%), creativity (11%), progression (11%). Different mechanism — Gómez more via territory (wide vs central); Stiller more via press resistance, crossing.
Declan Rice Arsenal · Premier League · 188 cm / 76 kg
85%
Driven by: transition (19%), progression (13%), final-third threat (13%). Different mechanism — Gómez more via creativity, defensive aggression; Rice more via box threat.
Valentín Barco Chelsea · Premier League · 170 cm / 67 kg
81%
Driven by: transition (17%), progression (13%), final-third threat (11%). Different mechanism — Gómez more via defensive aggression, passing directness; Barco more via box threat, dribbling.
Joshua Kimmich Bayern · Bundesliga · 177 cm / 75 kg
81%
Driven by: transition (16%), progression (13%), final-third threat (11%). Different mechanism — Gómez more via territory (wide vs central), defensive aggression; Kimmich more via box threat, retention.
23

Summary

Moi Gómez is an advanced playmaker (8) / box-to-box runner: 5.8 progressive passes, 1.10 key passes /90, 28 box entries, 0 goals from 0.48 xG. A box-to-box contributor across every phase.

Based on 32 matches (1721 minutes) this season — a reliable read. He profiles as an advanced playmaker (8) / box-to-box runner — 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 advanced playmaker (8) 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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