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Team reportLa Liga 2025/26
RS

Racing Santander

A balanced-territory side, aggressive high-press out of possession, with a moderate attack. Currently #13 of 20 on 11 points (3-2-5, 15:26). Tactical profile below is built from 10 matches of ball-by-ball event data, contextualised against the league.

balanced-territoryaggressive high-pressmoderate attack
D
L
W
L
W
L
L
D
L
W
11
points
#13 of 20 · 10 games
15:26
goals
-11 GD
3-2-5
record
W-D-L
1.10
points/game
#13 in the league
1.30
xG for/game
rank #8
1.97
xG against/game
rank #23
#2
press rank
of 23 · most aggressive
47%
field tilt
#12
Racing Santander
League average
Expected goals for / game
1.301.27
Expected goals against / game
1.971.33
Field tilt
47%49%
Pass retention
81%81%
Overview

The team

Who they are and how the season went.

Who Are They? — Identity

The question
In one read, what kind of team is Racing Santander and how good was the season?
Read. Racing Santander currently sit #13 of 20 on 11 points (3W-2D-5L, 1.10 pts/game), scoring 15 and conceding 26 for a goal difference of -11. On the ball they are a balanced-territory team (47% field tilt, #12 in the league); off it they defend with a aggressive high-press (#2 of 23 for press intensity). Across the 10 matches of event data, they create 1.30 xG/game (#8) and concede 1.97 (#23), a net of -0.67 xG/game — the underlying performance matches the actual goal difference.

Season Context — the league table

The question
Where did Racing Santander actually finish, and against whom?

The authoritative final table (full season), centred on Racing Santander.

#teamPWDLGFGAGDPts
10Villarreal103341514+112
11Deportivo102531313+011
12Osasuna103251020-1011
13Racing Santander103251526-1111
14Levante102441619-310
15Elche102441417-310
16Rayo Vallecano92341220-89

Match Momentum — when they create and concede danger

The question
Across a whole game, which periods does Racing Santander actually dominate for chances — and which periods hurt them?

Net xG (created minus conceded) in each 15-minute window, summed across the whole season's matches — above the line is time they dominate for chances, below is time it hurts them. Real on-clock shot timing.

dominant (net xG for)conceding (net xG against)
even0-15'16-30'31-45'46-60'61-75'76-90+'+1.43-4.12
Vision AI Model Insight
Racing Santander tend to come alive after the break — first-half net xG -6.60, second-half -0.10. Their strongest period is 46-60' (net +1.43 xG); their most dangerous period to face is 31-45' (net -4.12 xG against them).

xG Race — the season, match by match

Expected goals piling up over 10 matches: Racing Santander against what their opponents created. A line pulling away upwards is a side creating more than it gives away; the gap at the end is the season’s balance (-6.7 xG). Hover a point for that match.

07142113.019.7Villarreal (H) 2-2 · xG 2.04 to 0.74Getafe (A) 0-1 · xG 1.14 to 1.08Elche (H) 3-2 · xG 1.23 to 1.02Rayo Vallecano (A) 2-3 · xG 0.56 to 1.14Alaves (H) 2-1 · xG 1.34 to 1.70Barcelona (A) 2-7 · xG 1.69 to 5.85Celta Vigo (A) 0-5 · xG 0.66 to 2.04Valencia (H) 2-2 · xG 1.06 to 1.28Osasuna (A) 0-2 · xG 0.35 to 4.24Espanyol (H) 2-1 · xG 2.96 to 0.63M1M2M3M4M5M6M7M8M9M10
Racing SantanderOpponents against Racing Santander

Tactical DNA

The football question
In five genes, what is Racing Santander's footballing identity?

Each gene is a 0–100 score — the team's league percentile across the metrics that define that phase of play. It distils the whole report into an identity fingerprint: the taller the gene, the more that trait defines them.

48
Build-Up
possession control from the back
63
Progression
moving the ball upfield with threat
58
Creation
manufacturing chances
70
Press
winning the ball high & hard
0
Solidity
resisting the opponent's threat
Genetic identity
Racing Santander are defined most by their Press DNA (70/100 · strong at winning the ball high & hard), and least by their Solidity DNA (0/100). Percentiles vs the 23 teams in the league.

The Playstyle Wheel

Fifteen style metrics across five domains — Possess, Disrupt, Finish, Press, Defend — each a percentile against the rest of the league. Metrics marked ~proxy use the closest available event-data signal where the standard definition needs data this feed doesn't carry (explicit pressure events, offside/keeper-sweep incidents).

Possess64Disrupt55Finish62Press68Defend74
Possess
Deep buildup
91%
Possession
52%
Field tilt
48%
Disrupt
Central progression ~proxy
61%
Dribble tendency
43%
Progressive passes
61%
Finish
Final-third patience
65%
Shot quality
70%
Open-play xG
52%
Press
Forward press ~proxy
91%
High regains
35%
Pressing efficiency ~proxy
78%
Defend
Def-mid press ~proxy
83%
High line ~proxy
48%
PAdj defensive actions
91%
Racing Santander is defined most by Defend (74% in the league) and weakest on Disrupt (55%). Percentiles vs the 23 teams in the league this season.
In possession

In possession

How they keep the ball, build up, progress, create and finish, and where their attacks die.

Keeping the ball6 sections

Field Tilt — Territorial Control

The question
How much of the pitch does Racing Santander actually control, relative to the rest of the league?

Field tilt = share of final-third touches between the two sides across Racing Santander's matches, the standard proxy for territorial dominance. Plotted against points per game for every side in the league — the real question isn't just who controls territory, it's whether that control actually converts into results. Dashed lines mark the league average on each axis; Racing Santander highlighted. Hover any dot for the team.

Barcelona: 69% tilt, 2.52 pts/gReal Madrid: 61% tilt, 2.29 pts/gAtletico: 55% tilt, 1.96 pts/gVillarreal: 47% tilt, 1.75 pts/gReal Betis: 50% tilt, 1.67 pts/gCelta Vigo: 46% tilt, 1.38 pts/gReal Sociedad: 50% tilt, 1.35 pts/gRayo Vallecano: 50% tilt, 1.26 pts/gGetafe: 46% tilt, 1.25 pts/gSevilla: 52% tilt, 1.25 pts/gAthletic Club: 61% tilt, 1.21 pts/gAlaves: 48% tilt, 1.15 pts/gValencia: 45% tilt, 1.15 pts/gEspanyol: 46% tilt, 1.12 pts/gMallorca: 43% tilt, 1.11 pts/gElche: 52% tilt, 1.10 pts/gOsasuna: 47% tilt, 1.10 pts/gRacing Santander: 47% tilt, 1.10 pts/gDeportivo: 44% tilt, 1.10 pts/gLevante: 43% tilt, 1.08 pts/gGirona: 49% tilt, 1.08 pts/gReal Oviedo: 40% tilt, 0.76 pts/gMalaga: 46% tilt, 0.50 pts/gRacing Santander40%50%60%69%0.51.21.82.5FIELD TILT %POINTS / GAME
Vision AI Model Insight
Racing Santander post 47% field tilt, ranking #12 of 23 in the league — below the league mid-point, spending more of the game defending their own territory than dictating it, and their 1.10 points/game sits below the league-average return — territory is genuinely converting into results.

Where the time goes — how long each phase lasts

The question
When Racing Santander has the ball, how much of that time is spent building, progressing and creating?

The share of Racing Santander's time on the ball spent in each phase of play, in the order the phases happen. A phase is where the ball is on the pitch (own third, middle third, final third); a transition or a set piece skips the build-up and is counted on its own.

Build-up: 23.2% of the time on the ball23%Progression: 46.0% of the time on the ball46%Chance creation: 26.9% of the time on the ball27%Attacking transition: 3.8% of the time on the ball4%46%PROGRESSION
PhaseShare of the time
Build-up23.2%
Progression46.0%
Chance creation26.9%
Attacking transition3.8%
Vision AI Model Insight
Progression is where Racing Santander spends most of its time on the ball (46% of its time on the ball).

Passing Network

The question
Who actually plays with whom — the real on-pitch connections, not just average positions?

Every pass linked to its likely receiver (the next same-team touch), aggregated into player-pair combinations at each player's average position. Line width = how often the pair combines; colour = threat generated per pass (blue low → red high). Hover a line for the pair, or click a player to isolate their connections.

Iñigo Vicente ↔ Jorge Salinas: 147 passes, 2.9 combined xTIván Martín ↔ Iñigo Vicente: 109 passes, 1.7 combined xTSergio Canales ↔ Iñigo Vicente: 104 passes, 3.0 combined xTPablo Ramón ↔ Álvaro Mantilla: 98 passes, -0.4 combined xTPablo Ramón ↔ Julen Agirrezabala: 87 passes, 0.2 combined xTIván Martín ↔ Álvaro Mantilla: 83 passes, 0.0 combined xTPablo Ramón ↔ Jeanuël Belocian: 83 passes, -0.5 combined xTIñigo Vicente ↔ Álvaro Mantilla: 81 passes, 3.2 combined xTIván Martín ↔ Pablo Ramón: 78 passes, 0.8 combined xTSergio Canales ↔ Iván Martín: 77 passes, 0.5 combined xTJeanuël Belocian ↔ Jorge Salinas: 75 passes, 0.1 combined xTIñigo Vicente ↔ Matteo Prati: 70 passes, 1.3 combined xTIván Martín ↔ Matteo Prati: 61 passes, 0.3 combined xTIñigo Vicente ↔ Pablo Ramón: 58 passes, 0.4 combined xTIván Martín ↔ Jeanuël Belocian: 56 passes, 0.5 combined xTAndré Almeida ↔ Iñigo Vicente: 53 passes, 0.9 combined xTJulen Agirrezabala ↔ Jeanuël Belocian: 50 passes, 0.1 combined xTSergio Canales ↔ Matteo Prati: 47 passes, 0.4 combined xTIñigo Vicente ↔ Andrés Martín: 47 passes, 2.7 combined xTIñigo Vicente ↔ Jeanuël Belocian: 45 passes, 1.2 combined xTSergio Canales ↔ Álvaro Mantilla: 45 passes, 0.3 combined xTAndrés Martín ↔ Álvaro Mantilla: 41 passes, 1.6 combined xTPablo Ramón ↔ Jorge Salinas: 40 passes, -0.0 combined xTSergio Canales ↔ Jorge Salinas: 40 passes, 1.0 combined xTIván Martín — isolate this player's connectionsMartínJulen Agirrezabala — isolate this player's connectionsAgirrezabaAndré Almeida — isolate this player's connectionsAlmeidaPablo García — isolate this player's connectionsGarcíaYassir Zabiri — isolate this player's connectionsZabiriSergio Canales — isolate this player's connectionsCanalesIñigo Vicente — isolate this player's connectionsVicenteÁlvaro Mantilla — isolate this player's connectionsMantillaJorge Salinas — isolate this player's connectionsSalinasPablo Ramón — isolate this player's connectionsRamónMatteo Prati — isolate this player's connectionsPratiJeanuël Belocian — isolate this player's connectionsBelocianAndrés Martín — isolate this player's connectionsMartínAsier Villalibre — isolate this player's connectionsVillalibreManu Hernando — isolate this player's connectionsHernandoMaguette Gueye — isolate this player's connectionsGueye
width = passes between the paircolour = xT per pass: low → high

Top 10 combinations

Vicente ↔ Salinas
147p · 2.9xT
Martín ↔ Vicente
109p · 1.7xT
Canales ↔ Vicente
104p · 3.0xT
Ramón ↔ Mantilla
98p · -0.4xT
Ramón ↔ Agirrezabala
87p · 0.2xT
Martín ↔ Mantilla
83p · 0.0xT
Ramón ↔ Belocian
83p · -0.5xT
Vicente ↔ Mantilla
81p · 3.2xT
Martín ↔ Ramón
78p · 0.8xT
Canales ↔ Martín
77p · 0.5xT
Vision AI Model Insight
Busiest connection: Iñigo Vicente ↔ Jorge Salinas (147 passes). Most dangerous per pass: Iñigo Vicente ↔ Andrés Martín (0.06 xT/pass over 47 passes) — the combination that hurts opponents most when it fires, not just the one used most.

Touch Density — where Racing Santander had the ball

Every touch across 479 matches. Brighter means more touches.

Which Zones Do They Attack Through?

The question
Across the whole pitch, where does Racing Santander actually do its on-ball work?

Passes on one map, carries (the ball travelling with a player) on the other. Each is binned into the 15 pitch zones (three thirds × five vertical lanes) and shaded by its share of that kind of action; the arrows are the real actions.

Passes
the ball moved by a pass
4791
ACTIONS
4%5%10%5%5%10%9%10%10%10%6%4%3%4%7%PASSES
Carries
the ball moved with a player
1843
ACTIONS
3%7%10%5%2%11%11%13%9%9%6%4%2%4%5%CARRIES
Vision AI Model Insight
Their single busiest zone is the centre of the middle third (10.7% of all actions). 60% of actions run through the inside lanes (centre + both half-spaces) versus 40% down the two wings — an inside-dominant, half-space build. By third: 28% defensive, 50% middle, 22% attacking.

Attack Sides

Which channel they attacked through this season: the share of every action made in the opponent’s half, down the left, through the middle and down the right. Racing Santander leaned on their left (41%). The bars under the pitch put the league’s share beside theirs.

41%Left side21%Middle38%Right sideATTACKING →
Racing Santander
41%21%38%
League
39%22%38%

Final-Third Entries

Every completed pass or carry that took the ball from outside the final third into it, by the channel it arrived in. Racing Santander made 412 this season (41.2 a match); 28% came into the right wing. Longer, bolder arrows mean more entries. Entries by carrying the ball in count as well as completed passes; dribbles are not counted.

Left wing: 107 entries (26%)10726%LEFT WINGLeft half-space: 57 entries (14%)5714%LEFT HALF-SPACECentre: 54 entries (13%)5413%CENTRERight half-space: 79 entries (19%)7919%RIGHT HALF-SPACERight wing: 115 entries (28%)11528%RIGHT WINGATTACKING ↑
ChannelEntriesPer matchShareLeague share
Left wing10710.726%30%
Left half-space575.714%15%
Centre545.413%12%
Right half-space797.919%14%
Right wing11511.528%29%
Build-up2 sections

Build-Up — the pass map

The football question
How does Racing Santander progress possession from defence into attack — and who runs it?

Build-up passes grouped into 5 real categories — not the old zone grid, not raw individual lines: CB (passer is a centre-back), Wide→FB, Central, Long Wide, Long Central. Each gets its own panel below, so nothing competes for attention. Arrow width = volume, labelled with the exact count; hover for the top passer.

1374build-up passes attempted
82%completed
29%reach the middle third
1%go long into the final third

Pass types

417CB · 37%
38Long Wide · 3%
13Long Central · 1%
528Wide → FB · 47%
137Central · 12%
CB417 · 37%
right: 210 passes, most from Ramón210left: 207 passes, most from Ramón207
Long Wide38 · 3%
left: 20 passes, most from Salinas20right: 18 passes, most from Agirrezabala18
Long Central13 · 1%
right: 8 passes, most from Agirrezabala8left: 5 passes, most from Agirrezabala5
Wide → FB528 · 47%
left: 287 passes, most from Salinas287right: 241 passes, most from Agirrezabala241
Central137 · 12%
left: 69 passes, most from Agirrezabala69right: 68 passes, most from Agirrezabala68
◆ Vision AI Insight
Racing Santander build predominantly down the left, with Agirrezabala as the fulcrum (231 build-up passes). Only 30% of their build-up passes actually advance a third — the rest is lateral circulation, the hallmark of a possession-controlling side that circulates patiently in midfield before progressing. Their single most-repeated pattern is C def → RHS def (90×).

Pass Explorer

Every pass of Racing Santander’s last 10 matches as an arrow, theirs first and the opponents’ with other team, each side attacking left to right (solid = completed, dashed grey = failed). Eight families per team — click any map to open it wide, then filter by channel or third, from one to another (or click a cell of the flow grids), by outcome, half, minute and passer. Channels: right wing, right half-space, centre, left half-space, left wing.

Progression4 sections

How They Progress — the mechanism

Not just how many progressive passes, but where they start, who plays them, and whether they actually penetrate. 435 progressive passes across 10 matches (43.5/game).

Origin lane

Right wing
35%
Right half-space
10%
Central
11%
Left half-space
13%
Left wing
31%
Progression is right-dominant: 45% right side · 11% central · 44% left.

Who generates it

Iñigo Vicente
126 · 29%
Álvaro Mantilla
66 · 15%
Jorge Salinas
29 · 7%
Iván Martín
28 · 6%
Pablo Ramón
25 · 6%
Top two — Iñigo Vicente & Álvaro Mantilla — account for 44% of all progression.
PROGRESSION
43.5 prog passes/game
mostly right
→
PENETRATION
27% reach final third
17% reach the box
→
THREAT
the other 73% is recycled
progress ≠ danger
What came of it. 27% of progressive passes reached the final third and 17% the box; the rest was recycled in front of the block. 44% of the progression ran through two players, mostly down the right side.

Which lanes actually create the threat

Share of passes played from each lane against its share of the threat (xT) they add. Efficient = more threat than volume, sterile = lots of the ball, little damage.

Per lane — volume vs threat
Right wingbalanced
Right half-spacebalanced
Centralbalanced
Left half-spacebalanced
Left wingbalanced

Progression — the pass map

The football question
Once Racing Santander have the ball in midfield, how do they actually break into the final third — and who carries that job?

Progression passes grouped into 5 real categories: CB, Wide→FB, Central, Long Wide, Long Central. Each gets its own panel below, so nothing competes for attention. Arrow width = volume, labelled with the exact count; hover for the top passer.

2345progression passes attempted
84%completed
16%break into the final third
9%go backward into the defensive third

Pass types

366CB · 19%
51Long Wide · 3%
12Long Central · 1%
1259Wide → FB · 64%
288Central · 15%
CB366 · 19%
left: 205 passes, most from Belocian205right: 161 passes, most from Ramón161
Long Wide51 · 3%
right: 33 passes, most from Vicente33left: 18 passes, most from Vicente18
Long Central12 · 1%
right: 9 passes, most from Vicente9left: 3 passes, most from Zabiri3
Wide → FB1259 · 64%
right: 635 passes, most from Mantilla635left: 624 passes, most from Vicente624
Central288 · 15%
right: 151 passes, most from Martín151left: 137 passes, most from Martín137
◆ Vision AI Insight
Racing Santander progress predominantly down the left, with Vicente the busiest midfield outlet (261 progression passes). Only 16% of passes that start in midfield actually break the final-third line — the rest (75%) is recycled back into midfield or (9%) played backward, the hallmark of a side that carries progression itself through midfield rather than just passing through it. Their most-repeated pattern is LHS mid → LW mid (126×) — press that lane and midfield progression stalls.

Decision Quality — not all completed passes are equal

A 90% pass completion can hide a sideways habit. Grading every pass by the threat it adds separates value creation from safe circulation.

Excellent (high xT gain)
14%
Progressive
1%
Neutral / sideways
54%
Safe / backward
31%
15% of passes are progressive-or-better; the remaining 85% keep possession without advancing it. A control-first side — safe in build-up, reliant on a few players for the incision.

Carries Map — progressive ball-carries, squad-wide

The question
Where does Racing Santander actually progress the ball with their feet, not a pass?

252 progressive carries this season across the whole squad (23% of 1084 tracked carries total), grouped into up to 4 spatial patterns by where each carry starts and ends together — not just its origin zone. Median 14m, longest 41m. Most active carrier: Martín (41). Filter to one player below.

First (88)Second (69)Third (57)Fourth (38)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Chance creation4 sections

Chance creation — how the shots come

The question
Where do Racing Santander's chances actually come from?

Every shot sorted twice. First by the kind of attack: an attacking transition (the shot came within 15 seconds of winning the ball), a settled attack (open play after the team had the ball), or a set piece. Then by how it was set up: a cross, a cut-back, a long ball, a pass into the box, or no pass at all (the player created it himself). So a cut-back from an attacking transition is counted apart from a cut-back in a settled attack.

124shots
13.0xG
0.11xG per shot
7big chances (0.3+ xG)
15goals
#14key passes / game in the league
#10box entries / game in the league
Attacking transition: 32 shots (26%)26%32Settled attack: 70 shots (56%)56%70Set piece: 22 shots (18%)18%22124SHOTS
Kind of attack, then how the shot was set upShotsGoalsxGxG / shot
Attacking transition 26% of shots3243.140.10
Cross310.290.10
Long ball100.140.14
Pass into the box / short pass2011.400.07
Own creation (carry, dribble, rebound)821.310.16
Settled attack 56% of shots7086.110.09
Cross810.580.07
Cut-back500.540.11
Long ball200.130.06
Pass into the box / short pass3442.920.09
Own creation (carry, dribble, rebound)2131.950.09
Set piece 18% of shots2233.780.17
Corner1712.110.12
Free kick310.080.03
Penalty211.590.79

Every attempt to create — and what came of it

Every pass into the box, every cut-back and every pass before a shot. Red led to a shot, gold to a goal; grey ones were tried but no shot came: solid found a team-mate, dashed lost the ball. Filter by outcome, type or player; tap an arrow for the detail.

Who sets the shots up

PlayerSet-upsxG createdGoals
Iñigo Vicente292.314
Jorge Salinas51.301
Andrés Martín70.630
Iván Martín40.270
Yassir Zabiri40.270

Who takes them

PlayerShotsxGGoals
Yassir Zabiri224.038
Andrés Martín152.841
Sergio Canales221.361
Pablo García130.771
Maguette Gueye30.561
Vision AI Model Insight
The biggest source of Racing Santander's chances, by xG, is settled attack (6.1 of 13.0 xG, 70 of 124 shots), mostly pass into the box / short pass. 32 of the 124 shots (26%) came within 15 seconds of winning the ball. 22 of the 124 shots came from set pieces; 15 goals from 13.0 xG (+2.0).

Chance Creation — the pass map

The football question
How does Racing Santander consistently create dangerous chances — from which zones, and who creates them?

Key passes (the pass immediately before a shot) grouped into 5 real categories: CB, Wide→FB, Central, Long Wide, Long Central. Each gets its own panel below, so nothing competes for attention. Arrow width = volume, labelled with the exact count; hover for the top creator.

Pass types

2CB · 3%
1Long Wide · 1%
5Long Central · 6%
28Wide → FB · 35%
43Central · 54%

Danger Funnel — which service carries threat

Every key pass pooled by where it was played FROM, then drawn with its arrow width set by total xT rather than by count. A zone that produces a lot of cheap balls shrinks; one that produces a few decisive ones dominates. Where this disagrees with the volume map, the volume map is the misleading one.

0 key passes shown● low threat● mid● high threatarrow width = total xT, not count
CB2 · 3%
right: 2 passes, most from Ramón2
Long Wide1 · 1%
Long Central5 · 6%
right: 5 passes, most from Vicente5
Wide → FB28 · 35%
left: 15 passes, most from Vicente15right: 13 passes, most from Vicente13
Central43 · 54%
right: 23 passes, most from Vicente23left: 20 passes, most from Vicente20

Who creates — volume × threat

30Vicente
8Martín
7Canales
5Prati
5Salinas
4Martín
4Zabiri
79key passes #14 of 23
11.5box entries/game #10 of 23
32.7final-3rd entries/game #12 of 23
1.30xG/game #8 of 23
15goals #21 of 23
+2.0finishing vs xG #12 of 23
◆ Vision AI Insight
Racing Santander lean left — 38% of their key passes come from that flank and its half-space (30 of 79), most often from Vicente (15). They funnel chances into the lhs of the final third, most often via LW att → LHS att (8 key passes, most often from Vicente). Vicente is the primary source overall. They generate 1.30 xG a game and finish it clinical — they beat their xG, led by Yassir Zabiri (8G), Andrés Martín (1G), Pablo García (1G).

Crosses & Cutbacks — squad-wide

The question
How does Racing Santander deliver into the box from wide areas, and what comes of it?

125 crosses: 43 found a team-mate (34%), 12 led to a shot (10%). 28 cut-backs: 13 found a team-mate (46%), 5 led to a shot (18%). A cross starts wide and is aimed into the box; a cut-back starts near the byline and is squared back. Grey ones were tried but no shot came: solid found a team-mate, dashed lost the ball.

Crosses by Territory

The question
Which part of the final third does Racing Santander actually cross from?

125 crosses this season (the same crosses as the map above), split into fifteen territories — five channels (both wings, both half-spaces and the centre) by three depths from the halfway line to the byline. 26% come from one territory, the byline left wing; 6 come from the half-spaces and 0 from the centre.

deep right wing: 5 crosses (4%)4%5deep right half-space: 0 crosses (0%)deep centre: 0 crosses (0%)deep left half-space: 1 crosses (1%)1%1deep left wing: 10 crosses (8%)8%10advanced right wing: 27 crosses (22%)22%27advanced right half-space: 1 crosses (1%)1%1advanced centre: 0 crosses (0%)advanced left half-space: 0 crosses (0%)advanced left wing: 23 crosses (18%)18%23byline right wing: 21 crosses (17%)17%21byline right half-space: 2 crosses (2%)2%2byline centre: 0 crosses (0%)byline left half-space: 2 crosses (2%)2%2byline left wing: 33 crosses (26%)26%33
TerritoryCrossesShareLed to a shot
byline · left wing3326%4
advanced · right wing2722%2
advanced · left wing2318%4
byline · right wing2117%0
deep · left wing108%0
deep · right wing54%1
byline · right half-space22%0
byline · left half-space22%0
deep · left half-space11%0
advanced · right half-space11%1
Finishing3 sections

Shot Map

124 shots for 13.0 xG (1.30/game, #8 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.

Moderate attack. 12.4 shots/game at 0.105 xG/shot. Box entries 12/game (#10). Threat created 10.7 xT/game (#8).

Goal Sequences

The move behind each of Racing Santander’s 15 goals this season, from the moment they got the ball to the finish. Pick a goal from the list, then step through it or press Play: numbered circles are passes and touches, dotted lines are carries (the ball travelling with a player), dashed grey is a pass that was lost, the star is the shot.

Each goal’s possession, rebuilt from the raw event feed — 15 goals traced.

How Do They Score?

The question
Where do the goals actually come from — open play, dead balls, which foot?

Every goal Racing Santander scored across the loaded matches, broken down by how it was created and finished.

By situation

Open play
12 · 80%
Set pieces
2 · 13%
Penalties
1 · 7%

By finish

Right foot
4 · 27%
Left foot
11 · 73%
Header
0 · 0%
Vision AI Model Insight
15 goals scored. 80% come in open play; set pieces add 13%. Open play is clearly their main route to goal.
When they lose it1 section

Ball-Loss Map — where attacks die

Every turnover has a location and a cause. This is a rate, not a raw count — the share of pass attempts from each zone that end in a turnover, so a zone they simply play through more often doesn't automatically look riskier. Grey cells are real zones with too few attempts to trust a rate.

Loss rate by zone

54 of 181 pass attempts lost here (30%).30%54/181Mantilla33 of 225 pass attempts lost here (15%).15%33/225Ramón53 of 478 pass attempts lost here (11%).11%53/478Agirrezaba32 of 258 pass attempts lost here (12%).12%32/258Salinas69 of 232 pass attempts lost here (30%).30%69/232Salinas92 of 471 pass attempts lost here (20%).20%92/471Mantilla53 of 430 pass attempts lost here (12%).12%53/430Vicente59 of 469 pass attempts lost here (13%).13%59/469Vicente72 of 488 pass attempts lost here (15%).15%72/488Vicente93 of 487 pass attempts lost here (19%).19%93/487Vicente97 of 281 pass attempts lost here (35%).35%97/281Mantilla53 of 168 pass attempts lost here (32%).32%53/168Vicente28 of 128 pass attempts lost here (22%).22%28/128Canales56 of 173 pass attempts lost here (32%).32%56/173Vicente80 of 322 pass attempts lost here (25%).25%80/322Vicenteattacking →

How they lose it

Incomplete pass — attacking third
314
Failed forward pass
205
Failed take-on
101
Lost in the defensive third
241
Their weakest zone is the right wing in the attacking third: 35% of 281 pass attempts there are lost (97 times). Separately, 34% of all losses happen in the attacking third — a fair share happen deeper, which invites transitions.
Out of possession

Out of possession

How they press, where they win the ball back, and how they concede.

Pressing2 sections

Pressing — the full picture

The football question
How hard does Racing Santander press, where, and does it actually work — beyond a single PPDA number?

A composite Pressing Index built from four event-derived dimensions, each ranked against the league. Not one metric — intensity, height, effectiveness and opponent disruption together. The pitch shows every defensive action (the only five events this data records); the white line is the average height that feeds the score. Toggle by action type below, hover any dot for the player.

57
Pressing Index
/100 · average
Intensity64
PPDA, high-press share, high-zone actions
Height48
how high up the pitch they defend
Effectiveness67
high recoveries & high-regain share
Disruption41
opponent completion & progression allowed

Every defensive action & where it happens

Where they win the ball back — by lane

RW
15%
RHS
16%
C
26%
LHS
23%
LW
20%
By third (high / mid / low regain)
Def 52%
Mid 35%
Att 13%
Read
Ranked #2 of 23 for press intensity, this is a high press. Note the tension: 52% of their raw defensive actions still occur in their own third — a possession effect, not a passive one. Dominating the ball (19% high-press share) means that when they do defend, it is often deep. Of recoveries, 55% are won high up the pitch.

Every pressing metric, ranked in the league

metricvaluerankmeaning
PPDA (opp passes per def action)—#2/23lower = more intense; rank is what matters
Defensive actions / game163#1/23
High-press share19%#17/23def actions won high up
Defensive-action height (0–100)36.6#12/23avg pitch height of actions
High recoveries / game21.9#10/23ball won in mid+att third
High-recovery share55%#5/23share of recoveries won high
Opponent completion allowed81%#7/23lower = more disruptive
Opponent progressive allowed10.0%#20/23of opp passes, lower = better
Transition timing
This source carries per-event timestamps, so genuine transition metrics — counter-attack shots, press→shot conversions, time-to-recover — are measured; see the dedicated Transitions section below.

How long they keep it — passes and seconds until the ball is won

The question
Once the opponent has the ball, how many passes and how many seconds pass before Racing Santander win it back with a defensive action?

Counted over the 311 opposition possessions that Racing Santander ended with a tackle, interception, recovery or challenge. Fewer passes and seconds means the ball is won quickly (a press); more means the opponent is allowed to play before Racing Santander step in. Racing Santander win it after 5.3 opponent passes in the first half-hour and after 5.1 after the hour mark (about the same).

PASSES THEY GET
4.9passes
median 3 · before Racing Santander win it
TIME THEY KEEP IT
15sec
median 8s · 31.1 wins per game
How many passes the opponent got in before the ball was won
42%
24%
17%
16%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
5.2
15s
15–30′
5.6
17s
30–45+′
5.1
14s
45–60′
3.6
11s
60–75′
5.4
17s
75–90+′
4.8
14s
average passesaverage seconds

Attitude in each third

Every other style number here says how much Racing Santander does. This says how: wide or central, short or long, patient or direct. Bars are standard deviations from the league mean for passes played from that third; a solid bar marks a dimension where Racing Santander are genuinely unusual, and a verdict is only written where something clears 0.85 sd — a side that is ordinary in a third is told so rather than given a label for average play.

Build-up (own third) 1,374 passes

less recycling, shorter passing, kept on the floor

Width of use+0.3621.74
Wide-channel share+0.200.32
Side bias+0.562.27
Pass length-1.1118.70
Long-ball share-0.870.15
Forward gain per pass-0.3110.10
Backward-pass share-1.430.13
Deep-pass share-0.560.23
Completion+0.360.82
Seconds between passes-0.543.00
Side used

left 32% · central 41% · right 27%

Progression (middle third) 2,345 passes

shorter passing, less recycling, kept on the floor

Width of use+0.4026.42
Wide-channel share+0.310.43
Side bias+0.190.82
Pass length-1.8414.66
Long-ball share-0.900.07
Forward gain per pass+0.464.30
Backward-pass share-1.130.28
Deep-pass share-0.350.14
Completion-0.110.84
Seconds between passes-0.672.90
Side used

left 38% · central 26% · right 35%

Final third 1,072 passes

kept on the floor

Width of use-0.1431.28
Wide-channel share-0.120.58
Side bias+0.221.09
Pass length-0.7914.25
Long-ball share-0.890.06
Forward gain per pass+0.832.15
Backward-pass share-0.730.34
Deep-pass share+0.350.10
Completion+0.060.70
Seconds between passes+0.063.44
Side used

left 44% · central 15% · right 41%

Reference measured across roughly 3,500 match-teams in this competition, per third, so the comparison is with Racing Santander's own league. The means behave as football should: width of use grows 21.0 → 25.6 → 31.6 going forward, pass length shrinks 22.7 → 17.2 → 15.5 m, and completion is hardest in the final third. Tempo is integer-resolution because the feed records whole seconds.

Transitions1 section

Transitions — attacking & defensive

The question
When Racing Santander win or lose the ball, what actually happens in the seconds after?

Reconstructed from the full timestamped event stream: real possession spells (not zone-clustered), and shots that follow a regain within a fixed window. This phase of play needs ordered, per-event timestamps — which every match here carries.

Direct play share17%
#15 of 23 · reaches final third in ≤3 passes
Patient build-up share27%
#12 of 23 · spells of 6+ passes
Tempo (possession length)16.1s
#4 of 23 · shorter = faster tempo
Passes per possession4.4
#12 of 23
Counter-attack shots /game0.80
#18 of 23 · shot within 12s of a regain in own half
Press→shot /game3.70
#3 of 23 · shot within 8s of a high regain
Speed to final third after regain12.9s
#11 of 23 · lower = faster break
Vision AI Model Insight
Racing Santander are balanced between tempo and patience: 17% of possessions reach the final third in 3 passes or fewer (#15 of 23), against 27% built patiently over 6+ passes (#12 of 23). Winning the ball back leads to a shot inside 12 seconds 0.80 times a game (#18), and a high regain converts to a shot within 8 seconds 3.70 times a game (#3 of 23) — a genuine transition weapon.
Defending the box2 sections

Vulnerability Map — how opponents hurt them

The report flipped: where do opponents create their threat against Racing Santander? 479 opponent progressive passes and 158 shots faced (19.7 xG against) across the season.

Opponent threat by lane (attacking into Racing Santander)

Right wing
30%
Right half-space
18%
Central
19%
Left half-space
13%
Left wing
21%
Where the danger came from. Opponents generated most of their threat through the right wing (30% of the danger conceded).

How Do They Concede?

The question
Where do the goals against Racing Santander actually come from — open play, dead balls, and who supplies them?

Every goal Racing Santander conceded across the loaded matches — the opponent's shots in Racing Santander's own matches — plus every individual opponent key pass faced, each drawn as its own real arrow (not zone-clustered) with the % share of each zone behind it.

Where the goals go in

← opponent shot at own goal

Every opponent key pass against them (109 total)

2%6%4%4%17%23%12%12%17%Alberto MoleiroGeorges MikautadzeGeorges MikautadzeAlberto MoleiroGerard MorenoGerard MorenoPape GueyePape GueyeRamón TerratsRamón TerratsJohan MojicaMartín SatrianoRamón TerratsJohan MojicaRamón TerratsDavid AffengruberFacundo BuonanotteGermán ValeraGonzalo VillarGermán ValeraGonzalo VillarGermán ValeraLucas CepedaTete MorenteJosanSergio CamelloAndrei RatiuFlorian LejeuneUnai LópezSergio CamelloUnai LópezUnai LópezUnai LópezSergio CamelloAdrià PedrosaUnai LópezHugo GonzálezHugo GonzálezHugo GonzálezMiguel RománBorja IglesiasHugo ÁlvarezPablo DuránSergio CarreiraJavi GalánHugo ÁlvarezNahuel TenagliaLucas BoyéÁngel PérezDenis SuárezDenis SuárezÁngel PérezJonnyToni MartínezKarim AdeyemiPedriPedriKarim AdeyemiLamine YamalDani OlmoLamine YamalDani OlmoKarim AdeyemiRodriPedriDani OlmoDani OlmoDani OlmoRodriJoão CanceloPedriPedriRaphinhaGaviLamine YamalEric GarcíaAlejandro BaldeKarim AdeyemiDani OlmoJustin de HaasDani RabaJosé GayàFilip UgrinicDavid OtorbiHarvey ElliottJavi GuerraJosé GayàDavid OtorbiEdu ExpósitoJavi HernándezJavi HernándezOmar El HilaliEdu ExpósitoEdu ExpósitoCalaRubén GarcíaValentin RosierMoi GómezRubén GarcíaRubén GarcíaJon MoncayolaJonathan DubasinRubén GarcíaRubén GarcíaRubén GarcíaAbel BretonesRubén GarcíaRaúl GarcíaEdu Expósito← own goal

By situation

Open play
20 · 80%
Set pieces
1 · 4%
Penalties
4 · 16%
Vision AI Model Insight
25 goals conceded. 80% come in open play; set pieces account for only 4%, so dead-ball defending is not the main issue. 4% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the right half-space of the attacking third (23% of key passes faced) — that is the zone to shut off.
Context

Shape and tactics

Set pieces, strengths and weaknesses, and who they resemble.

Premium
Tactical Phase Read
The tactical idea behind each phase of this team's play, written from the same numbers shown above — what they do in build-up, how they progress, where they create, and how they defend it.
Subscribe →

Set-Piece Threat

How much of the goal threat is manufactured from dead balls — a route to goal that bypasses their open-play mechanism entirely.

Open play
12 g · 9.2 xG
Set pieces
2 g · 2.2 xG
Penalties
1 g
13% of goals come from set pieces (2 of 15), worth 2.2 xG from 20 shots. Set pieces are a secondary threat; the danger is in open play.

Where do Racing Santander's corners go?

51 corners taken this season, split by which flag they were taken from — arrows from the flag, dots at the delivery point, shaded by % of that side's corners landing in each zone (same treatment as the concede map below). No swing-direction (inswinger/outswinger) data is recorded here, only a start and end point per pass, which cannot show how the ball curved — so this shows what is genuinely knowable: where it lands, and short vs actually delivered. Tap or hover a dot for who took it and the match; filter to one match below and the shading recomputes for just that game.

Right side (28)

14%14%36%29%4%
Delivered into the box 96%Short 4%

Left side (23)

4%9%17%4%30%30%
Delivered into the box 96%Short 4%

Where opponents attack Racing Santander from set pieces

35 shots from opponent corners against Racing Santander, 1 conceded, split by the flag the corner came from — arrows from the flag, dots where the shot was taken (gold = goal), shaded by the % of that flag's shots in each zone. Tap or hover a shot for who took it, the minute and the match; filter to one match and the shading recomputes for just that game.

Right flag (21)

24%10%29%14%14%10%
Shot 21Goals 1

Left flag (14)

7%21%21%7%14%29%
Shot 14Goals 0

Tactical Strengths & Weaknesses

Strengths (top-third vs league)
  • press intensity (PPDA) — 5.41 (91th pct)
  • xG created /game — 1.30 (65th pct)
  • threat created /game — 10.74 (65th pct)
Weaknesses (bottom-third vs league)
  • xG conceded /game — 1.97 (0th pct)

Style Archetype & Similar Teams

Team archetype: Direct / counter high-press. Their closest stylistic matches in the league (cosine similarity on style metrics) — sides that play a similar way.

Real Sociedad
64%
Elche
56%
Malaga
45%
Mallorca
44%
Levante
38%

Performance vs Opponent Styles

The question
Not just how Racing Santander results against a high press or a low block — how does their own play actually change?

Every match split into three tiers by how hard that specific opponent pressed (opponent PPDA — lower means a more aggressive press), matching Racing Santander's own passing behaviour to the result.

Results

opponent typegoals for/ggoals against/gpoints/g
vs high-pressing opponents (3m)2.333.671.33
vs mid-block opponents (3m)1.332.001.00
vs low-block opponents (4m)1.002.251.00

Behaviour — how Racing Santander actually play against each

opponent typeretentiondirectness (long balls)prog. passes/gxT/gbox entries/g
vs high-pressing opponents79%10%399.010.7
vs mid-block opponents80%9%4110.710.7
vs low-block opponents82%8%4812.012.8
Vision AI Model Insight
Facing a high press, retention drops to 79% vs 82% against a low block (2pt lower under pressure), and directness (long-ball share) sits at 10% when pressed vs 8% against a low block — their passing style barely changes regardless of how the opponent sets up, for better or worse.

Scouting Summary — the team in brief

In brief. Racing Santander are balanced-territory with a aggressive high-press. Their attack creates 1.30 xG a game and they concede 1.97 a game. [Event-data based — no tracking, so off-ball structure and marking scheme need video.]
Squad

Players

Who drives the numbers.

Against Their Own Norm

For each of ten match numbers, the one match this season that departed furthest from Racing Santander’s own average, the eight biggest swings first. Bar right of centre means more than usual, left means less. It shows how much the way they play moves from game to game, and which opponent moved it.

Racing Santander
across 10 matches this season
Pass accuracyat Celta Vigo · 0-5 · 2026-09-1987%avg 80%
PPDAat Barcelona · 2-7 · 2026-09-1610.3avg 5.4
Progressive passesat Barcelona · 2-7 · 2026-09-1618avg 44
Field tiltat Barcelona · 2-7 · 2026-09-168%avg 47%
Threat from passingat Barcelona · 2-7 · 2026-09-162.78avg 6.83
Expected goalsvs Espanyol · 2-1 · 2026-10-242.96avg 1.30
Defensive actionsat Celta Vigo · 0-5 · 2026-09-19120avg 163
Final-third entriesat Barcelona · 2-7 · 2026-09-167avg 41

On-Ball Value — who moved the game

Every pass, carry, take-on, shot and ball win is worth the change it made to the chance of scoring minus the chance of conceding in the next 10 seconds. This is Racing Santander’s last 10 matches added up: where the value came from, who produced it, and the six biggest single moves. OBV only measures what a player does with the ball: it shows who added the most on-ball value, not who was the most important player (defending off the ball, positioning and pressing are not in it).

+16.7on-ball value, 10 matches
Where the value came from
Passes4791 actions+5.63
Carries1084 actions+0.15
Dribbles186 actions+0.73
Shots124 actions+6.14
Ball wins587 actions+4.03
Most on-ball value (OBV)ActionsOBVper 100
Andrés Martín232+2.97+1.28
Iñigo Vicente898+2.86+0.32
Jorge Salinas552+1.60+0.29
Yassir Zabiri150+1.44+0.96
Julen Agirrezabala321+1.11+0.35
Álvaro Mantilla574+0.77+0.13
André Almeida258+0.74+0.29
Pablo García128+0.73+0.57
123456
Biggest single movesOBV
1  Andrés Martín · shot+0.802
2  Andrés Martín · shot+0.779
3  Yassir Zabiri · ball win+0.490
4  Jorge Salinas · pass+0.404
5  Jorge Salinas · pass+0.382
6  Maguette Gueye · take-on+0.352

Set Pieces by Player

Who delivers Racing Santander’s dead balls and who finishes them this season. 51 corners taken, most by Iñigo Vicente (22); 20 shots from corners and free kicks, 2 goals, led by Yassir Zabiri (1 goals, 0.65 xG). “Into the box” counts corners that landed inside the penalty area; free-kick takers are the players who shot from one, because this feed does not mark who delivers the others.

PlayerCorners takenInto the boxSet-piece shotsGoalsxGFree-kick shotsPenalties
Iñigo Vicente2217 (77%)1—0.031—
Sergio Canales1111 (100%)410.112—
Andrés Martín99 (100%)——0.00—1/2
Jorge Salinas——4—0.30——
Yassir Zabiri——210.65——
Jeanuël Belocian——2—0.28——
Manu Hernando——2—0.07——
Pablo García54 (80%)——0.00——
Aarón Martín33 (100%)——0.00——
Pablo Ramón——1—0.08——
Pedro Felipe——1—0.14——
Álvaro Mantilla——1—0.30——
Asier Villalibre——1—0.22——
André Almeida——1—0.03——

Top Performers

Ranked by Vision AI Score — the same tactical behavioural evaluation each player's own report page shows (min 270 minutes). Coloured chips are that player's strongest capability blocks.

playerposminVision AI Scorecapability blocks
Pablo RamónCB6397.0Ball-Winning 90%Ball-Carrying 81%Progression 51%Aerial & Box Defending 48%
Iñigo VicenteAM8376.5Chance Creation 68%Ball-Carrying 66%Box Threat 3%
Jorge SalinasFB8526.2Ball-Winning 94%Breaking Pressure 35%Wide Delivery 14%Ball-Carrying 9%
Iván MartínCM6965.9Ball-Carrying 76%Successful Dribble 72%Progression 51%Chance Creation 36%
Sergio CanalesAM7394.4Ball-Carrying 82%Box Threat 69%Chance Creation 30%
Yassir ZabiriST6774.2Box Threat 86%Finishing 54%Ball-Carrying 50%Aerial Threat 0%
Matteo PratiCM5113.8Successful Dribble 58%Ball-Carrying 34%Progression 32%Chance Creation 28%
Julen AgirrezabalaGK9473.6Shot-Stopping 36%
Álvaro MantillaFB8162.9Breaking Pressure 60%Ball-Winning 57%Ball-Carrying 33%Wide Delivery 10%
Jeanuël BelocianCB5161.9Progression 45%Ball-Winning 42%Ball-Carrying 42%Aerial & Box Defending 16%

Top Creators

Chance creation leaders — key passes /90 and box entries.

playerposminkey P /90box entriesxT
Iñigo VicenteM8373.235027.1
Sergio CanalesM7390.85147.0
Andrés MartínM3941.83114.9
Jorge SalinasD8520.5376.6
Iván MartínM6960.5248.3
Yassir ZabiriF6770.5340.8
Álvaro MantillaD8160.1169.6
Matteo PratiM5110.8814.6

Wide Delivery Leaders

Crosses and cutbacks — wingers and full-backs only (by real average position, not the raw D/M position code), ranked by combined volume.

playerposmincrosses (completed)cutbacks (completed)
Álvaro MantillaFB8165 (20%)5 (40%)
Andrés MartínW3948 (50%)2 (0%)
Jorge SalinasFB8521 (0%)3 (100%)

Defensive Volume Leaders

Who does the defensive work — tackles, interceptions, recoveries.

playerposmindef actionstacklesinterceptrecoveries
Jorge SalinasD852215301547
Pablo RamónD639167171144
Álvaro MantillaD81613723830
Iñigo VicenteM83712214545
Iván MartínM69610721233
Sergio CanalesM739969434
Jeanuël BelocianD516932919
Manu HernandoD40783545

Full Squad Data

Every player with 100+ minutes (21 players).

playerposappsmingoalsxGkey PprogdefxT
Julen AgirrezabalaG1094700.0015305.0
Jorge SalinasD1085200.55292156.6
Iñigo VicenteM1083700.43012612227.1
Álvaro MantillaD981600.41661379.6
Sergio CanalesM1073911.4718967.0
Iván MartínM869610.94281078.3
Yassir ZabiriF1067784.042560.8
Pablo RamónD863900.12251679.0
Jeanuël BelocianD651610.4014935.4
Matteo PratiM751100.159824.6
Manu HernandoD540700.106831.9
Andrés MartínM639412.8824584.9
Pablo GarcíaM628922.304241.0
Asier VillalibreF828100.400260.2
Gustavo PuertaM327500.1324635.0
Facu GonzálezD526000.003561.5
André AlmeidaM625900.7413473.0
Maguette GueyeM719510.605351.4
Iker LuqueM418410.318280.8
Aarón MartínD517500.0413252.7
Sergio MartínezM211310.000180.4

Player Role Architecture

The question
Who does what — and what tactical job does each key player actually perform?

The nine most-used players (450+ minutes), each with the role their event fingerprint points to — not just their listed position.

Julen Agirrezabala
Goalkeeper · Goalkeeper
minutes947
goals · xG0 · 0.0
prog passes /901.4
key passes /900.00
def actions /902.9
pass accuracy82%
Jorge Salinas
Stopper / marker · Defender
minutes852
goals · xG0 · 0.5
prog passes /903.1
key passes /900.53
def actions /9022.7
pass accuracy77%
Iñigo Vicente
Advanced creator · Attacking mid
minutes837
goals · xG0 · 0.4
prog passes /9013.5
key passes /903.23
def actions /9013.1
pass accuracy73%
Álvaro Mantilla
Ball-playing defender · Defender
minutes816
goals · xG0 · 0.4
prog passes /907.3
key passes /900.11
def actions /9015.1
pass accuracy73%
Sergio Canales
Ball-winner / destroyer · Midfielder
minutes739
goals · xG1 · 1.4
prog passes /902.2
key passes /900.85
def actions /9011.7
pass accuracy82%
Iván Martín
Ball-winner / destroyer · Midfielder
minutes696
goals · xG1 · 0.9
prog passes /903.6
key passes /900.52
def actions /9013.8
pass accuracy87%
Yassir Zabiri
Poacher / finisher · Forward
minutes677
goals · xG8 · 4.0
prog passes /900.3
key passes /900.53
def actions /907.4
pass accuracy78%
Pablo Ramón
Stopper / marker · Defender
minutes639
goals · xG0 · 0.1
prog passes /903.5
key passes /900.28
def actions /9023.5
pass accuracy89%
Jeanuël Belocian
Stopper / marker · Defender
minutes516
goals · xG1 · 0.4
prog passes /902.4
key passes /900.00
def actions /9016.2
pass accuracy92%

Recruitment Intelligence — profiles to sign

The question
If you were sporting director, which player profiles would move the needle most?

Each recruitment target is derived directly from the team's weakest areas vs the league — the gap, why it shows in the data, and the profile that closes it.

Need — bottom-third: xG conceded /game (0th pct)
Sign a defensive organiser / shot-suppressing centre-back. The data flags this because too much xG is conceded (1.97, 0th percentile vs the league).
Need — below-average: field tilt % (48th pct)
Sign a possession-controlling midfielder to win the territorial battle. The data flags this because they get pinned back (47.02, 48th percentile vs the league).
Need — below-average: pass retention % (48th pct)
Sign a secure ball-retaining midfielder. The data flags this because possession is turned over cheaply (80.71, 48th percentile vs the league).
Vision AI · building report