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Ligue 1 · 2025/26

Data investigation · 2025/26 season

Ligue 1 —Beyond the table

The geography of club profiles in 2025/26

An investigation by Marcos Solon

Data Analyst · Data Scientist · BI

Analytical evidence · 2025/26
18 clubs7 characteristics1 MCA
Nicolás Tagliafico in action in a Lyon kit. Editorial opening image, not analytical data.
Editorial portrait of Achraf Hakimi in a blue-and-red PSG kit, hands on hips. Opening image, not analytical data.
Analytical universen = 18

Alphabetical list. Club order and position do not indicate league rank, geography or MCA coordinates.

  1. Angers
  2. Auxerre
  3. Brest
  4. Le Havre
  5. Lens
  6. Lille
  7. Lorient
  8. Lyon
  9. Marseille
  10. Metz
  11. Monaco
  12. Nantes
  13. Nice
  14. Paris FC
  15. Paris SG
  16. Rennes
  17. Strasbourg
  18. Toulouse

18 clubs. 7 characteristics. Another way to read Ligue 1.

Alphabetical order · non-analytical positions
Interior view of the Parc des Princes, looking from the stands towards the pitch.
Parc des Princes · atmospheric photograph, not analytical data

From faces to the league

Ligue 1, not a duel.

A football scene invites us in. Then the view widens: the analysis is structured by the profiles of all eighteen clubs in 2025/26, not by the photographed players.

The present

A new season, the same reading habits

The league table is already creating a sense of urgency. What if we began with what it leaves out?

As of 21 September, the first five matchdays of the 2026/27 Ligue 1 season had been completed; Matchday 6 is scheduled for 9–11 October. This current-season context is strictly editorial: the analysis uses 2025/26 data exclusively.

Those opening weeks give the league immediacy, but they do not yet provide the depth needed for a structural reading. Our starting point is therefore a question, not a result: before asking who will finish where, what distinguishes the clubs’ profiles?

Current context · 2026/27Analytical references · S12-C01

The field of inquiry

What are we trying to understand?

The league table summarises a season. On its own, it cannot describe the combinations of performance, possession, attacking production, defence, contact and European context that distinguish clubs.

18clubs · complete populationC01
7active characteristicsC04
1multiple correspondence analysis

The scope

The season we can analyse in full

A structural view requires a completed season and a complete universe.

The investigation returns to 2025/26: a completed season with 18 clubs observed on the same basis. They form the entire analytical population, not a sample selected to serve the narrative.

The 2026/27 season appears in the opening as editorial context. It enters neither the modalities, the coordinates nor the MCA. This separation is a visible methodological rule, not a qualification hidden in a footnote.

Analytical evidence · 2025/26Analytical references · S12-C02

The characteristics

7 ways to describe a club beyond its position

A competitive outcome alone does not show how a club uses possession, creates chances or defends.

Points summarise the season outcome. Possession helps describe how a club uses the ball. xG describes expected attacking production; goals conceded, the defensive outcome. Interceptions document a defensive process, fouls committed a volume of contact, and UEFA participation provides European context — nothing more.

Each measure was converted into categories using thresholds fixed before MCA. These 19 modalities make profiles comparable, while discarding differences that remain within each band.

Thresholds fixed before the map

Thresholds and roles were pre-registered before MCA. They preserve ties, but categorisation loses information within each band.

  1. 01 · MeasurePoints
  2. 02 · Pre-registered modality40 to 59 points
  3. 03 · ReadingMembership in a band, not a quality score.
Analytical evidence · 2025/26Analytical references · S12-C03 · S12-C04
01

Competitive outcome

Points

PTS
460 points or moreclubs out of 18
740 to 59 pointsclubs out of 18
7Fewer than 40 pointsclubs out of 18

Pre-registered rule · A single outcome indicator limits the weight of performance in the analysis.

02

Possession / build-up

Average possession

POS
950% possession or moreclubs out of 18
9Below 50% possessionclubs out of 18

Pre-registered rule · Rounded public percentage; the 50% boundary is preserved as registered.

03

Attacking process

Expected goals (xG)

xG
6xG production of 55 or moreclubs out of 18
6xG production from 45 to below 55clubs out of 18
6xG production below 45clubs out of 18

Pre-registered rule · Expected attacking production across the season under the provider model.

04

Defensive outcome

Goals conceded

GA
651 or more goals concededclubs out of 18
645 to 50 goals concededclubs out of 18
6Fewer than 45 goals concededclubs out of 18

Pre-registered rule · A defensive-outcome indicator, kept distinct from defensive mechanisms.

05

Defensive process

Interceptions

INT
5320 interceptions or moreclubs out of 18
7280 to 319 interceptionsclubs out of 18
6Fewer than 280 interceptionsclubs out of 18

Pre-registered rule · A higher volume of actions does not automatically mean better defending.

06

Contact volume

Fouls committed

FLS
5440 fouls committed or moreclubs out of 18
8380 to 439 fouls committedclubs out of 18
5Fewer than 380 fouls committedclubs out of 18

Pre-registered rule · A neutral contact-volume measure, not aggression.

07

European context

UEFA participation

UEFA
11UEFA participation: noclubs out of 18
7UEFA participation: yesclubs out of 18

Pre-registered rule · Participation in 2025/26 only; it does not measure prestige, wealth or quality.

Before the map

What tends to travel together?

The first associations appear pair by pair, with signals of different intensity.

Cramér’s V summarises the strength of the observed relationship between two categorical variables. A larger value means their distributions depart further from what we would expect without association; on its own, it indicates no direction, establishes no causality and offers no football explanation.

In this season, points–possession and possession–xG are among the stronger signals. Yet all 21 tables are sparse. The results are exploratory: they guide the MCA reading, but they do not deliver a verdict.

Analytical evidence · 2025/26Analytical references · S12-C05 · S12-C06

The printed number and pattern density encode the same value. A crossed cell means corrected V equals zero, not proven independence.

PTSPOSxGGAINTFLSUEFA
PTSPoints
POSAverage possession0.77
xGExpected goals (xG)0.430.76
GAGoals conceded0.590.330.00
INTInterceptions0.000.350.000.00
FLSFouls committed0.000.000.000.000.00
UEFAUEFA participation0.340.530.630.000.310.00

Pair by pair, relationships emerge.

MCA asks what happens when these categorical relationships are considered together.

The method

Why turn modalities into a map?

Because associations are not limited to pairs: they intersect within the same clubs.

Each club is an observation. For every characteristic, it belongs to one modality. Multiple Correspondence Analysis places clubs and modalities in a common geometry to summarise the combinations that structure the whole league.

The map does not rank clubs, calculate a quality score or predict results. Projected proximity is not sufficient proof of similarity: coordinates, contributions, cos² and the underlying modalities must be read together.

Analytical evidence · 2025/26Analytical references · S12-C07 · S12-C08
  1. 18

    Observations

    The 18 clubs, each defined by one modality for each characteristic.

  2. 19

    Modalities

    The 19 active modalities that construct the axes.

  3. D1—D3

    Geometry

    Coordinates and distances that summarise profiles, not a hierarchy.

The map positions combinations of modalities. It does not rank club quality.

Choose the plane
Inspect a reference club
D1

Possession · production · outcome

This axis notably combines possession, xG, points and UEFA participation. It describes a profile contrast, not quality.

Raw inertia
29.4 %
Benzécri inertia
78.6 %
D2

Defensive outcome · points

This axis mainly separates goals-conceded and points bands, with defensive actions and contact secondary.

Raw inertia
17.1 %
Benzécri inertia
13.6 %
The Ligue 1 map · D1 × D2Distance on the map is geometric. Interpretation depends on coordinates, contributions, cos² and the underlying categorical profiles.PTS · ≥60PTS · 40–59PTS · <40POS · ≥50%POS · <50%xG · ≥55xG · 45–<55xG · <45GA · ≥51GA · 45–50GA · <45INT · ≥320INT · 280–319INT · <280FLS · ≥440FLS · 380–439FLS · <380UEFA · NOUEFA · YESAJAASMANGLORMETNANHACLILNICLYOOMPFCPSGLENSTRBRERENTFC
ClubModalityDashed ring or outline: plane cos² below 0.40

What constructs the axes

The listed modalities support the pre-established interpretation. Contribution and quality of representation remain distinct.

D1 · Possession · production · outcome

  1. POS · ≥50%12.3 %
  2. POS · <50%12.3 %
  3. xG · ≥5511.6 %
  4. PTS · <4011.2 %
  5. xG · <4510.1 %

D2 · Defensive outcome · points

  1. GA · <4521.3 %
  2. GA · 45–5021.1 %
  3. PTS · 40–5918.6 %
  4. PTS · ≥6012.7 %
  5. INT · ≥3207.3 %

Distance on the map is geometric. Interpretation depends on coordinates, contributions, cos² and the underlying categorical profiles.

Cos² indicates the quality of representation of a point on the selected plane. The 0.40 threshold is a reading aid, not a statistical test.

Accessible list of all 18 clubs on the map
Accessible list of all 19 modalities on the map

The first contrast

Axis 1 — possession, attacking production and season outcome

The principal contrast combines several aspects of play and outcome; it does not collapse them into a scale of “quality”.

The positive side notably contains the modalities for at least 50% possession, higher xG, higher points and UEFA participation. The negative side contains their lower bands and no UEFA participation.

The axis therefore describes a possession, attacking-production and season-outcome profile. UEFA participation is contextual only: it measures neither wealth nor prestige and establishes no causal relationship. Interception volume also contributes, preventing a one-note reading.

D1

Modalities that construct this axis

Interceptions also contribute; UEFA participation remains strictly contextual.

Return to the map ↗
  • 50% possession or more+0.93412.3%0.87
  • xG production of 55 or more+1.11111.6%0.62
  • 60 points or more+1.2089.2%0.42
  • UEFA participation: yes+0.9169.2%0.53
  • Below 50% possession−0.93412.3%0.87
  • xG production below 45−1.03610.1%0.54
  • Fewer than 40 points−1.00711.2%0.65
  • UEFA participation: no−0.5835.9%0.53
Analytical evidence · 2025/26Analytical references · S12-C09 · S12-C10

The second contrast

Axis 2 — defensive outcome and points-band separation

The second axis adds configurations of goals conceded, points and defensive activity to the reading of the first.

One side is built mainly by the lower goals-conceded band and the higher points band. The other brings out the intermediate goals-conceded, points and xG bands. Interceptions and fouls committed complete the configuration.

Calling it simply “defensive quality” would mislead. Defensive actions may also reflect exposure or match context, while fouls measure contact volume here — not aggression. This is a composite contrast, not a defensive rating.

D2

Modalities that construct this axis

It is not a ‘defensive quality’ axis, and only six clubs have Dimension 2 cos² of at least 0.20.

Return to the map ↗
  • Fewer than 45 goals conceded+1.14521.3%0.66
  • 60 points or more+1.08212.7%0.33
  • 320 interceptions or more+0.7357.3%0.21
  • 440 fouls committed or more+0.6375.5%0.16
  • 45 to 50 goals conceded−1.13921.1%0.65
  • 40 to 59 points−0.99118.6%0.63
  • xG production from 45 to below 55−0.4212.9%0.09
Analytical evidence · 2025/26Analytical references · S12-C11 · S12-C12

Additional view

A third direction to explore

D3

Modalities that construct this axis

Pairwise association support is limited; this remains a secondary axis.

Return to the map ↗
  • 320 interceptions or more+1.04217.0%0.42
  • 51 or more goals conceded+0.92115.9%0.42
  • 380 to 439 fouls committed+0.75614.3%0.46
  • 280 to 319 interceptions−0.78513.5%0.39
  • Fewer than 380 fouls committed−0.7769.4%0.23
  • xG production below 45−0.6367.6%0.20

D4 reveals only weak residual structure: it remains in the methodology, not the main narrative.

Editorial reference points · final 2025/26 table

Four reference points within a whole league

The top four finishers in 2025/26 make the geography more concrete — without becoming four categories.

PSG, Lens, LOSC and Lyon appear in final-table order. Their selection is editorial: it was not produced by MCA and does not define groups, models or archetypes.

Each reference point is read through its coordinates, the modalities associated with the seven active characteristics and its cos², all drawn from the analysis. All eighteen clubs remain on the map, and no crest replaces an analytical point.

Analytical evidence · 2025/26Analytical references · S17-C01 · S17-C02 · S17-C03 · S17-C04 · S17-C05 · S17-C06

Editorial order: final 2025/26 table. Equal visual weight for all four clubs.

Final 2025/26 position1st place

Paris Saint-Germain

On D1 × D2, Paris lies on the positive side of both axes. Active modalities and cos² provide context for that position, not a superiority score.

D1
+1.163
D2
+0.518
cos² · D1 × D2
0.774
Active modalities
  • Points · 60 points or more
  • Average possession · 50% possession or more
  • Expected goals (xG) · xG production of 55 or more
  • Goals conceded · Fewer than 45 goals conceded
  • Interceptions · Fewer than 280 interceptions
  • Fouls committed · Fewer than 380 fouls committed
  • UEFA participation · UEFA participation: yes
View on the map ↗

Final 2025/26 position2nd place

RC Lens

Lens also lies on the positive side of D1 and D2. The principal plane does not exhaust its profile: active modalities and representation quality remain essential.

D1
+0.560
D2
+0.705
cos² · D1 × D2
0.437
Active modalities
  • Points · 60 points or more
  • Average possession · 50% possession or more
  • Expected goals (xG) · xG production of 55 or more
  • Goals conceded · Fewer than 45 goals conceded
  • Interceptions · 320 interceptions or more
  • Fouls committed · 380 to 439 fouls committed
  • UEFA participation · UEFA participation: no
View on the map ↗

Final 2025/26 position3rd place

LOSC Lille

LOSC lies on the positive side of D1 and D2. This descriptive reading rests on its coordinates, active modalities and quality of representation on the plane.

D1
+0.908
D2
+0.541
cos² · D1 × D2
0.549
Active modalities
  • Points · 60 points or more
  • Average possession · 50% possession or more
  • Expected goals (xG) · xG production of 55 or more
  • Goals conceded · Fewer than 45 goals conceded
  • Interceptions · 280 to 319 interceptions
  • Fouls committed · Fewer than 380 fouls committed
  • UEFA participation · UEFA participation: yes
View on the map ↗

Final 2025/26 position4th place

Olympique Lyonnais

Lyon lies on the positive side of D1 and D2. This reference remains strictly descriptive: coordinates, active modalities and cos², without extrapolating beyond the analysis.

D1
+0.803
D2
+0.579
cos² · D1 × D2
0.467
Active modalities
  • Points · 60 points or more
  • Average possession · 50% possession or more
  • Expected goals (xG) · xG production from 45 to below 55
  • Goals conceded · Fewer than 45 goals conceded
  • Interceptions · Fewer than 280 interceptions
  • Fouls committed · 440 fouls committed or more
  • UEFA participation · UEFA participation: yes
View on the map ↗

Focused reading · 2025/26 evidence

Paris and Lens, two points of reference on the map

First- and second-place finishers in the final table, within a space built from all eighteen clubs.

MCA coordinates · D1 × D2

Final 2025/26 position · 1st place

Paris Saint-Germain

D1
+1.163
D2
+0.518
cos² on the plane
0.774

Final 2025/26 position · 2nd place

RC Lens

D1
+0.560
D2
+0.705
cos² on the plane
0.437

On D1 × D2, both clubs lie on the positive side of each axis, without occupying the same position. The quality of representation on the main plane is higher for Paris than for Lens: cos² reminds us that a projection does not show an entire profile.

The league table summarises the season’s competitive outcome. MCA describes associations among the selected modalities. This reading remains descriptive and exploratory: projected proximity proves neither overall resemblance nor causation.

Return to the 18-club map ↗

The caution

What the map does not tell us

A projection becomes more useful when its losses and uncertainties remain visible.

The D1 × D2 plane represents 46.56% of raw inertia. The remaining structure does not disappear: some clubs and modalities are better represented on D3, while cos² signals what the plane shows well — or poorly.

The population contains only 18 clubs. Thresholds turn continuous values into categories; public possession is rounded; every contingency table is sparse. Sensitivity analyses support some readings without making the geometry invariant. Nothing here establishes causality.

Analytical evidence · 2025/26Analytical references · S12-C06 · S12-C08 · S12-C13 · S12-C18 · S12-C19 · S12-C20 · S12-C22

The hypothesis tested

Ligue 1 is more complex than two models

The analysis qualified the original hypothesis instead of trying to confirm it.

The principal contrast is clear, but it does not create two sealed camps. Some clubs occupy intermediate positions; others differ more on D2 or D3; some apparent proximity on the principal plane weakens once projection quality is considered.

The most faithful reading is a continuum of overlapping profiles shaped by several defensive and contact configurations. MCA is not a classification algorithm: it does not decide how many club “types” exist.

Analytical evidence · 2025/26Analytical references · S12-C21 · S12-C23

The takeaway

A geography, not a new ranking

The league table orders a season. The map reveals the characteristics that tend to vary together.

In 2025/26, Ligue 1’s main structure was organised around possession, attacking production and season outcome. Defensive outcome, defensive actions and contact revealed other directions that prevent a binary reading.

Looking beyond the league table does not replace it. It changes the question: not only “where did the club finish?”, but “which associations make up its profile?”

Analytical evidence · 2025/26Analytical references · S12-C23

Methodology

Methodology — reading a geography of profiles

The method summarises associations between modalities. It produces neither a ranking, a rigid typology nor a causal explanation.

Analytical evidence · 2025/26Each club played 34 matches; this was verified against the official final table.LFP · official final table
A complete scope

The population contains every club from the 2025/26 Ligue 1 season. The 2026/27 season serves only as editorial context and remains outside the analysis.

Complementary characteristics

The active variables cover outcome, possession, attacking production, defensive outcome, a defensive process, contact and UEFA context.

Thresholds fixed before the map

Thresholds and roles were pre-registered before MCA. They preserve ties, but categorisation loses information within each band.

Exploratory associations

Bias-corrected Cramér’s V describes the strength of a relationship between two categorical variables. Every table is sparse, so no result is treated as causal proof.

A common geometry

MCA begins with the complete disjunctive table. Clubs are observations; active modalities construct the axes. Python generates the coordinates, which are never recalculated in the browser.

Coordinate, contribution and cos²

A coordinate locates an element. Contribution shows what constructs an axis. Cos² indicates the quality of representation of an element on the plane. No diagnostic is sufficient on its own.

More than one plane

D1 × D2 is the entry plane. D1 × D3 and D2 × D3 recover some defensive and contact structure. D4 remains secondary.

Stability tested, not assumed

Pre-registered alternative thresholds and leave-one-club-out runs assess sensitivity without replacing the primary analysis.

Visible limitations

The small population, categorisation, rounded possession, sparse tables, partial projection and absence of variables on squad composition or physical attributes limit the scope of the conclusions.

Inertia and corrections

The corrections change the shares of inertia to be interpreted, but never the primary MCA coordinates. Corrected percentages must not be confused with raw inertia.

DimensionRaw inertiaBenzécri correctionGreenacre adjustment
D129.4%78.6%64.6%
D217.1%13.6%11.1%
D314.8%7.4%6.1%
D49.8%0.4%0.3%

Official source

Sources and provenance

Analytical data comes from the sources documented in the methodology and analytical process. Raw LFP data remains outside public content until reuse is authorised.

Raw LFP tables are not distributed. For local review, the site uses an analytical dataset limited to what is strictly necessary; publication remains subject to rights verification.