Vision AI ← BACK TO SEARCH
Team reportLigue 1 2025/26
TRO

Troyes

A balanced-territory side, aggressive high-press out of possession, with a moderate attack. Currently #17 of 18 on 5 points (1-2-5, 5:16). Tactical profile below is built from 8 matches of ball-by-ball event data, contextualised against the league.

balanced-territoryaggressive high-pressmoderate attack
D
W
L
L
L
L
L
D
5
points
#17 of 18 · 8 games
5:16
goals
-11 GD
1-2-5
record
W-D-L
0.62
points/game
#17 in the league
1.13
xG for/game
rank #15
1.41
xG against/game
rank #15
#9
press rank
of 20 · most aggressive
54%
field tilt
#5
Troyes
League average
Expected goals for / game
1.131.31
Expected goals against / game
1.411.34
Field tilt
54%50%
Pass retention
77%82%
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 Troyes and how good was the season?
Read. Troyes currently sit #17 of 18 on 5 points (1W-2D-5L, 0.62 pts/game), scoring 5 and conceding 16 for a goal difference of -11. On the ball they are a balanced-territory team (54% field tilt, #5 in the league); off it they defend with a aggressive high-press (#9 of 20 for press intensity). Across the 8 matches of event data, they create 1.13 xG/game (#15) and concede 1.41 (#15), a net of -0.29 xG/game — the underlying performance diverges from the actual goal difference.

Season Context — the league table

The question
Where did Troyes actually finish, and against whom?

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

#teamPWDLGFGAGDPts
14Angers8224915-68
15Le Mans81431116-57
16Strasbourg82151218-67
17Troyes8125516-115
18Le Havre8026815-72

Match Momentum — when they create and concede danger

The question
Across a whole game, which periods does Troyes 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+'+1.69-1.77
Vision AI Model Insight
Troyes tend to fade after a strong start — first-half net xG -0.29, second-half -2.00. Their strongest period is 16-30' (net +1.69 xG); their most dangerous period to face is 31-45' (net -1.77 xG against them).

xG Race — the season, match by match

Expected goals piling up over 8 matches: Troyes 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 (-2.3 xG). Hover a point for that match.

048129.011.3Paris FC (H) 0-0 · xG 0.48 to 1.25Lorient (A) 2-1 · xG 1.83 to 1.13Strasbourg (H) 2-6 · xG 2.41 to 2.98Lille (A) 0-2 · xG 0.53 to 1.28Angers (A) 0-2 · xG 1.28 to 1.45Marseille (H) 0-2 · xG 0.92 to 1.17Lens (H) 1-3 · xG 1.13 to 1.37Toulouse (A) 0-0 · xG 0.41 to 0.65M1M2M3M4M5M6M7M8
TroyesOpponents against Troyes

Tactical DNA

The football question
In five genes, what is Troyes'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.

38
Build-Up
possession control from the back
60
Progression
moving the ball upfield with threat
55
Creation
manufacturing chances
65
Press
winning the ball high & hard
25
Solidity
resisting the opponent's threat
Genetic identity
Troyes are defined most by their Press DNA (65/100 · average at winning the ball high & hard), and least by their Solidity DNA (25/100). Percentiles vs the 20 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).

Possess25Disrupt57Finish27Press67Defend57
Possess
Deep buildup
0%
Possession
0%
Field tilt
75%
Disrupt
Central progression ~proxy
30%
Dribble tendency
70%
Progressive passes
70%
Finish
Final-third patience
60%
Shot quality
0%
Open-play xG
20%
Press
Forward press ~proxy
55%
High regains
90%
Pressing efficiency ~proxy
55%
Defend
Def-mid press ~proxy
60%
High line ~proxy
95%
PAdj defensive actions
15%
Troyes is defined most by Press (67% in the league) and weakest on Possess (25%). Percentiles vs the 20 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 Troyes actually control, relative to the rest of the league?

Field tilt = share of final-third touches between the two sides across Troyes'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; Troyes highlighted. Hover any dot for the team.

PSG: 71% tilt, 2.21 pts/gLens: 55% tilt, 1.98 pts/gLille: 58% tilt, 1.81 pts/gRennes: 53% tilt, 1.79 pts/gLyon: 52% tilt, 1.76 pts/gMarseille: 60% tilt, 1.69 pts/gMonaco: 54% tilt, 1.64 pts/gStrasbourg: 50% tilt, 1.43 pts/gParis FC: 47% tilt, 1.38 pts/gLorient: 42% tilt, 1.36 pts/gToulouse: 49% tilt, 1.31 pts/gBrest: 43% tilt, 1.14 pts/gAngers: 40% tilt, 1.05 pts/gAuxerre: 49% tilt, 1.05 pts/gNice: 46% tilt, 1.02 pts/gLe Havre: 45% tilt, 0.88 pts/gLe Mans: 41% tilt, 0.88 pts/gNantes: 41% tilt, 0.71 pts/gTroyes: 54% tilt, 0.62 pts/gMetz: 43% tilt, 0.50 pts/gTroyes40%50%60%71%0.51.11.62.2FIELD TILT %POINTS / GAME
Vision AI Model Insight
Troyes post 54% field tilt, ranking #5 of 20 in the league — comfortably above the league mid-point for territorial control, and their 0.62 points/game sits below the league-average return — a real disconnect: their territorial control isn't showing up on the scoreboard the way it should.

Where the time goes — how long each phase lasts

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

The share of Troyes'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: 23.0% of the time on the ball23%Progression: 39.3% of the time on the ball39%Chance creation: 35.1% of the time on the ball35%Attacking transition: 2.7% of the time on the ball39%PROGRESSION
PhaseShare of the time
Build-up23.0%
Progression39.3%
Chance creation35.1%
Attacking transition2.7%
Vision AI Model Insight
Progression is where Troyes spends most of its time on the ball (39% 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.

Adrien Monfray ↔ Junior Diaz: 141 passes, -0.4 combined xTAdrien Monfray ↔ Lucas Maronnier: 62 passes, 0.1 combined xTAdrien Monfray ↔ Patrick Beach: 60 passes, -0.5 combined xTAdrien Monfray ↔ Antoine Mille: 60 passes, 0.7 combined xTJunior Diaz ↔ Anis Ouzenadji: 56 passes, -0.6 combined xTLucas Maronnier ↔ Antoine Mille: 52 passes, 1.2 combined xTAdrien Monfray ↔ Merwan Ifnaoui: 50 passes, 1.8 combined xTAdrien Monfray ↔ Dermane Karim: 47 passes, -0.6 combined xTAdrien Monfray ↔ Mouhamed Diop: 46 passes, -0.5 combined xTDermane Karim ↔ Mouhamed Diop: 45 passes, 0.2 combined xTHugo Picard ↔ Anis Ouzenadji: 39 passes, 0.6 combined xTMouhamed Diop ↔ Antoine Mille: 39 passes, 0.8 combined xTAntoine Mille ↔ Merwan Ifnaoui: 39 passes, 1.7 combined xTMouhamed Diop ↔ Junior Diaz: 32 passes, -0.3 combined xTDermane Karim ↔ Antoine Mille: 31 passes, 0.4 combined xTKandet Diawara ↔ Anis Ouzenadji: 30 passes, 0.3 combined xTLucas Maronnier ↔ Merwan Ifnaoui: 29 passes, 1.1 combined xTDermane Karim ↔ Junior Diaz: 26 passes, -0.4 combined xTDermane Karim ↔ Lucas Maronnier: 26 passes, -0.0 combined xTJunior Diaz ↔ Patrick Beach: 25 passes, 0.0 combined xTMouhamed Diop ↔ Anis Ouzenadji: 20 passes, 0.4 combined xTMouhamed Diop ↔ Merwan Ifnaoui: 19 passes, 0.2 combined xTHugo Picard ↔ Antoine Mille: 18 passes, 1.1 combined xTRenaud Ripart ↔ Merwan Ifnaoui: 18 passes, 0.3 combined xTDermane Karim — isolate this player's connectionsKarimJunior Diaz — isolate this player's connectionsDiazKandet Diawara — isolate this player's connectionsDiawaraAntoine Mille — isolate this player's connectionsMilleMouhamed Diop — isolate this player's connectionsDiopRenaud Ripart — isolate this player's connectionsRipartAdrien Monfray — isolate this player's connectionsMonfrayPatrick Beach — isolate this player's connectionsBeachLucas Maronnier — isolate this player's connectionsMaronnierHugo Picard — isolate this player's connectionsPicardJérémy Le Douaron — isolate this player's connectionsDouaronIron Gomis — isolate this player's connectionsGomisTimothé Nkada — isolate this player's connectionsNkadaMerwan Ifnaoui — isolate this player's connectionsIfnaouiAnis Ouzenadji — isolate this player's connectionsOuzenadjiNoah Donkor — isolate this player's connectionsDonkor
width = passes between the paircolour = xT per pass: low → high

Top 10 combinations

Monfray ↔ Diaz
141p · -0.4xT
Monfray ↔ Maronnier
62p · 0.1xT
Monfray ↔ Beach
60p · -0.5xT
Monfray ↔ Mille
60p · 0.7xT
Diaz ↔ Ouzenadji
56p · -0.6xT
Maronnier ↔ Mille
52p · 1.2xT
Monfray ↔ Ifnaoui
50p · 1.8xT
Monfray ↔ Karim
47p · -0.6xT
Monfray ↔ Diop
46p · -0.5xT
Karim ↔ Diop
45p · 0.2xT
Vision AI Model Insight
Busiest connection: Adrien Monfray ↔ Junior Diaz (141 passes). Most dangerous per pass: Hugo Picard ↔ Antoine Mille (0.06 xT/pass over 18 passes) — the combination that hurts opponents most when it fires, not just the one used most.

Touch Density — where Troyes had the ball

Every touch across 378 matches. Brighter means more touches.

Which Zones Do They Attack Through?

The question
Across the whole pitch, where does Troyes 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
3223
ACTIONS
5%5%9%4%4%11%9%7%8%7%9%4%2%5%9%PASSES
Carries
the ball moved with a player
1185
ACTIONS
3%4%6%6%5%9%7%9%14%11%7%2%2%4%12%CARRIES
Vision AI Model Insight
Their single busiest zone is the right wing of the middle third (10.3% of all actions). 54% of actions run through the inside lanes (centre + both half-spaces) versus 46% down the two wings — an inside-dominant, half-space build. By third: 27% defensive, 44% middle, 29% 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. Troyes leaned on their right (42%). The bars under the pitch put the league’s share beside theirs.

41%Left side18%Middle42%Right sideATTACKING →
Troyes
41%18%42%
League
39%22%39%

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. Troyes made 349 this season (43.6 a match); 37% came into the left 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: 130 entries (37%)13037%LEFT WINGLeft half-space: 46 entries (13%)4613%LEFT HALF-SPACECentre: 20 entries (6%)206%CENTRERight half-space: 34 entries (10%)3410%RIGHT HALF-SPACERight wing: 119 entries (34%)11934%RIGHT WINGATTACKING ↑
ChannelEntriesPer matchShareLeague share
Left wing13016.237%30%
Left half-space465.813%15%
Centre202.56%11%
Right half-space344.210%14%
Right wing11914.934%31%
Build-up2 sections

Build-Up — the pass map

The football question
How does Troyes 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.

910build-up passes attempted
76%completed
33%reach the middle third
2%go long into the final third

Pass types

311CB · 45%
60Long Wide · 9%
9Long Central · 1%
277Wide → FB · 40%
35Central · 5%
CB311 · 45%
right: 201 passes, most from Monfray201left: 110 passes, most from Diaz110
Long Wide60 · 9%
left: 33 passes, most from Beach33right: 27 passes, most from Beach27
Long Central9 · 1%
left: 5 passes, most from Diop5right: 4 passes, most from Beach4
Wide → FB277 · 40%
left: 144 passes, most from Ouzenadji144right: 133 passes, most from Maronnier133
Central35 · 5%
right: 20 passes, most from Beach20left: 15 passes, most from Ouzenadji15
◆ Vision AI Insight
Troyes build predominantly down the right, with Monfray as the fulcrum (176 build-up passes). Only 36% 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 RHS def → C def (40×).

Pass Explorer

Every pass of Troyes’s last 8 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. 348 progressive passes across 8 matches (43.5/game).

Origin lane

Right wing
42%
Right half-space
11%
Central
14%
Left half-space
8%
Left wing
25%
Progression is right-dominant: 53% right side · 14% central · 33% left.

Who generates it

Adrien Monfray
45 · 13%
Lucas Maronnier
41 · 12%
Antoine Mille
37 · 11%
Merwan Ifnaoui
35 · 10%
Patrick Beach
32 · 9%
Top two — Adrien Monfray & Lucas Maronnier — account for 25% of all progression.
PROGRESSION
43.5 prog passes/game
mostly right
→
PENETRATION
29% reach final third
21% reach the box
→
THREAT
the other 71% is recycled
progress ≠ danger
What came of it. 29% of progressive passes reached the final third and 21% the box; the rest was recycled in front of the block. 25% 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 wingefficient
Right half-spacebalanced
Centralbalanced
Left half-spacesterile
Left wingbalanced

Progression — the pass map

The football question
Once Troyes 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.

1368progression passes attempted
83%completed
23%break into the final third
13%go backward into the defensive third

Pass types

374CB · 33%
64Long Wide · 6%
7Long Central · 1%
584Wide → FB · 51%
113Central · 10%
CB374 · 33%
right: 233 passes, most from Monfray233left: 141 passes, most from Diaz141
Long Wide64 · 6%
left: 45 passes, most from Mille45right: 19 passes, most from Karim19
Long Central7 · 1%
left: 4 passes, most from Karim4right: 3 passes, most from Ouzenadji3
Wide → FB584 · 51%
right: 313 passes, most from Mille313left: 271 passes, most from Ouzenadji271
Central113 · 10%
right: 58 passes, most from Mille58left: 55 passes, most from Diop55
◆ Vision AI Insight
Troyes progress predominantly down the right, with Monfray the busiest midfield outlet (199 progression passes). Only 23% of passes that start in midfield actually break the final-third line — the rest (65%) is recycled back into midfield or (13%) played backward, the hallmark of a side that carries progression itself through midfield rather than just passing through it. Their most-repeated pattern is RW mid → RHS mid (72×) — 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)
16%
Progressive
1%
Neutral / sideways
49%
Safe / backward
34%
17% of passes are progressive-or-better; the remaining 83% 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 Troyes actually progress the ball with their feet, not a pass?

210 progressive carries this season across the whole squad (27% of 774 tracked carries total), grouped into up to 4 spatial patterns by where each carry starts and ends together — not just its origin zone. Median 16m, longest 59m. Most active carrier: Diawara (30). Filter to one player below.

First (78)Second (53)Third (51)Fourth (28)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 Troyes'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.

109shots
9.0xG
0.08xG per shot
3big chances (0.3+ xG)
5goals
#5key passes / game in the league
#7box entries / game in the league
Attacking transition: 19 shots (17%)17%19Settled attack: 56 shots (51%)51%56Set piece: 34 shots (31%)31%34109SHOTS
Kind of attack, then how the shot was set upShotsGoalsxGxG / shot
Attacking transition 17% of shots1901.570.08
Cross400.430.11
Cut-back400.290.07
Pass into the box / short pass600.480.08
Own creation (carry, dribble, rebound)500.370.07
Settled attack 51% of shots5644.860.09
Cross1611.110.07
Cut-back500.440.09
Long ball300.120.04
Pass into the box / short pass2322.060.09
Own creation (carry, dribble, rebound)911.140.13
Set piece 31% of shots3412.570.08
Corner3101.730.06
Free kick200.050.03
Penalty110.790.79

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
Antoine Mille100.831
Kandet Diawara20.651
Lucas Maronnier70.560
Merwan Ifnaoui70.470
Jérémy Le Douaron40.330

Who takes them

PlayerShotsxGGoals
Renaud Ripart152.271
Jérémy Le Douaron111.371
Timothé Nkada141.081
Mouhamed Diop80.800
Adrien Monfray90.610
Vision AI Model Insight
The biggest source of Troyes's chances, by xG, is settled attack (4.9 of 9.0 xG, 56 of 109 shots), mostly pass into the box / short pass. 19 of the 109 shots (17%) came within 15 seconds of winning the ball. 34 of the 109 shots came from set pieces; 5 goals from 9.0 xG (-4.0).

Chance Creation — the pass map

The football question
How does Troyes 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

7CB · 9%
6Long Wide · 8%
4Long Central · 5%
17Wide → FB · 22%
44Central · 56%

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
CB7 · 9%
right: 4 passes, most from Monfray4left: 3 passes, most from Diaz3
Long Wide6 · 8%
left: 3 passes, most from Mille3right: 3 passes, most from Diop3
Long Central4 · 5%
left: 3 passes, most from Picard3
Wide → FB17 · 22%
left: 10 passes, most from Ouzenadji10right: 7 passes, most from Ripart7
Central44 · 56%
left: 23 passes, most from Mille23right: 21 passes, most from Mille21

Who creates — volume × threat

13Mille
13Picard
10Ifnaoui
8Maronnier
5Ouzenadji
4Karim
4Douaron
78key passes #5 of 20
13.4box entries/game #7 of 20
34.4final-3rd entries/game #6 of 20
1.13xG/game #15 of 20
5goals #20 of 20
-4.0finishing vs xG #18 of 20
◆ Vision AI Insight
Troyes lean right — 49% of their key passes come from that flank and its half-space (38 of 78), most often from Maronnier (8). They funnel chances into the c of the final third, most often via RW att → C att (17 key passes, most often from Maronnier). Mille is the primary source overall. They generate 1.13 xG a game and finish it wasteful — they under-perform their xG, led by Renaud Ripart (1G), Timothé Nkada (1G), Jérémy Le Douaron (1G).

Crosses & Cutbacks — squad-wide

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

132 crosses: 49 found a team-mate (37%), 25 led to a shot (19%). 27 cut-backs: 11 found a team-mate (41%), 8 led to a shot (30%). 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 Troyes actually cross from?

132 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. 27% come from one territory, the byline right wing; 6 come from the half-spaces and 0 from the centre.

deep right wing: 3 crosses (2%)2%3deep right half-space: 0 crosses (0%)deep centre: 0 crosses (0%)deep left half-space: 0 crosses (0%)deep left wing: 4 crosses (3%)3%4advanced right wing: 21 crosses (16%)16%21advanced right half-space: 0 crosses (0%)advanced centre: 0 crosses (0%)advanced left half-space: 0 crosses (0%)advanced left wing: 27 crosses (20%)20%27byline right wing: 36 crosses (27%)27%36byline right half-space: 2 crosses (2%)2%2byline centre: 0 crosses (0%)byline left half-space: 4 crosses (3%)3%4byline left wing: 35 crosses (27%)27%35
TerritoryCrossesShareLed to a shot
byline · right wing3627%10
byline · left wing3527%7
advanced · left wing2720%1
advanced · right wing2116%7
deep · left wing43%0
byline · left half-space43%0
deep · right wing32%0
byline · right half-space22%0
Finishing3 sections

Shot Map

109 shots for 9.0 xG (1.13/game, #15 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.

Moderate attack. 13.6 shots/game at 0.083 xG/shot. Box entries 13/game (#7). Threat created 10.2 xT/game (#10).

Goal Sequences

The move behind each of Troyes’s 5 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 — 5 goals traced.

How Do They Score?

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

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

By situation

Open play
4 · 80%
Set pieces
0 · 0%
Penalties
1 · 20%

By finish

Right foot
1 · 20%
Left foot
4 · 80%
Header
0 · 0%
Vision AI Model Insight
5 goals scored. 80% come in open play; set pieces add 0%. 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

31 of 161 pass attempts lost here (19%).19%31/161Maronnier26 of 162 pass attempts lost here (16%).16%26/162Monfray89 of 304 pass attempts lost here (29%).29%89/304Beach22 of 141 pass attempts lost here (16%).16%22/141Beach50 of 142 pass attempts lost here (35%).35%50/142Ouzenadji66 of 346 pass attempts lost here (19%).19%66/346Maronnier26 of 297 pass attempts lost here (9%).9%26/297Monfray48 of 239 pass attempts lost here (20%).20%48/239Monfray44 of 245 pass attempts lost here (18%).18%44/245Diaz42 of 241 pass attempts lost here (17%).17%42/241Ouzenadji70 of 294 pass attempts lost here (24%).24%70/294Mille38 of 130 pass attempts lost here (29%).29%38/130Douaron20 of 66 pass attempts lost here (30%).30%20/66Ripart68 of 164 pass attempts lost here (41%).41%68/164Nkada108 of 291 pass attempts lost here (37%).37%108/291Diawaraattacking →

How they lose it

Incomplete pass — attacking third
304
Failed forward pass
196
Failed take-on
77
Lost in the defensive third
218
Their weakest zone is the left half-space in the attacking third: 41% of 164 pass attempts there are lost (68 times). Separately, 41% 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 Troyes 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.

70
Pressing Index
/100 · strong
Intensity82
PPDA, high-press share, high-zone actions
Height95
how high up the pitch they defend
Effectiveness58
high recoveries & high-regain share
Disruption48
opponent completion & progression allowed

Every defensive action & where it happens

Where they win the ball back — by lane

RW
18%
RHS
18%
C
23%
LHS
22%
LW
19%
By third (high / mid / low regain)
Def 42%
Mid 39%
Att 20%
Read
Ranked #9 of 20 for press intensity, this is a high press. 58% of defensive actions happen in the middle & attacking thirds, at an average height of 43. Of recoveries, 54% are won high up the pitch.

Every pressing metric, ranked in the league

metricvaluerankmeaning
PPDA (opp passes per def action)—#9/20lower = more intense; rank is what matters
Defensive actions / game155#2/20
High-press share30%#1/20def actions won high up
Defensive-action height (0–100)42.9#1/20avg pitch height of actions
High recoveries / game23.6#8/20ball won in mid+att third
High-recovery share54%#9/20share of recoveries won high
Opponent completion allowed87%#20/20lower = more disruptive
Opponent progressive allowed6.6%#1/20of 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 Troyes win it back with a defensive action?

Counted over the 289 opposition possessions that Troyes 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 Troyes step in. Troyes win it after 7.0 opponent passes in the first half-hour and after 6.0 after the hour mark (sooner).

PASSES THEY GET
6.8passes
median 4 · before Troyes win it
TIME THEY KEEP IT
19sec
median 10s · 36.1 wins per game
How many passes the opponent got in before the ball was won
36%
21%
20%
24%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
8.3
23s
15–30′
5.8
17s
30–45+′
9.4
29s
45–60′
5.1
13s
60–75′
6.9
17s
75–90+′
5.4
14s
average passesaverage seconds

Attitude in each third

Every other style number here says how much Troyes 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 Troyes 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) 910 passes

nothing unusual in this zone

Width of use+0.6322.30
Wide-channel share+0.470.33
Side bias-0.51-1.77
Pass length+0.8025.59
Long-ball share+0.600.29
Forward gain per pass+0.7614.75
Backward-pass share-0.460.18
Deep-pass share+0.530.34
Completion-0.510.75
Seconds between passes+0.293.50
Side used

left 27% · central 42% · right 31%

Progression (middle third) 1,368 passes

longer passing, slower, trying to break lines

Width of use+0.8327.33
Wide-channel share+0.570.44
Side bias-1.02-3.96
Pass length+1.6519.52
Long-ball share+0.940.14
Forward gain per pass+0.804.81
Backward-pass share-0.200.32
Deep-pass share+1.140.22
Completion-0.160.83
Seconds between passes+1.263.75
Side used

left 31% · central 26% · right 43%

Final third 945 passes

nothing unusual in this zone

Width of use+0.7033.33
Wide-channel share+0.570.63
Side bias+0.110.32
Pass length+0.2115.79
Long-ball share-0.370.08
Forward gain per pass+0.411.59
Backward-pass share-0.280.37
Deep-pass share+0.160.09
Completion-0.290.67
Seconds between passes+0.303.62
Side used

left 46% · central 10% · right 44%

Reference measured across roughly 3,500 match-teams in this competition, per third, so the comparison is with Troyes'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 Troyes 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 share20%
#2 of 20 · reaches final third in ≤3 passes
Patient build-up share23%
#17 of 20 · spells of 6+ passes
Tempo (possession length)15.6s
#2 of 20 · shorter = faster tempo
Passes per possession3.8
#19 of 20
Counter-attack shots /game0.38
#20 of 20 · shot within 12s of a regain in own half
Press→shot /game4.25
#1 of 20 · shot within 8s of a high regain
Speed to final third after regain9.2s
#1 of 20 · lower = faster break
Vision AI Model Insight
Troyes are a direct, fast-break side: 20% of possessions reach the final third in 3 passes or fewer (#2 of 20), against 23% built patiently over 6+ passes (#17 of 20). Winning the ball back leads to a shot inside 12 seconds 0.38 times a game (#20), and a high regain converts to a shot within 8 seconds 4.25 times a game (#1 of 20) — a genuine transition weapon.
Defending the box2 sections

Vulnerability Map — how opponents hurt them

The report flipped: where do opponents create their threat against Troyes? 333 opponent progressive passes and 94 shots faced (11.3 xG against) across the season.

Opponent threat by lane (attacking into Troyes)

Right wing
25%
Right half-space
19%
Central
17%
Left half-space
10%
Left wing
28%
Where the danger came from. Opponents generated most of their threat through the left wing (28% of the danger conceded).

How Do They Concede?

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

Every goal Troyes conceded across the loaded matches — the opponent's shots in Troyes'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 (70 total)

10%11%1%3%7%21%16%11%19%Florian ThauvinFlorian SotocaFlorian ThauvinFlorian ThauvinFlorian ThauvinFlorian ThauvinFlorian ThauvinFranjo IvanovicAron DønnumThomas JørgensenCristian CásseresAron DønnumCristian CásseresCristian CásseresCristian CásseresPape DiopSebastian NanasiGessime YassineGessime YassineOsoSebastian NanasiGiovanni ReynaJacobo OrtegaDário EssugoGessime YassineSam Amo-AmeyawPape DiopOsoDário EssugoDiogo SousaAdama CamaraLassine SinayokoRudy MatondoLuca KoleoshoIlan KebbalLassine SinayokoMoses SimonMoses SimonDilane BakwaDilane BakwaNabil BentalebHákon HaraldssonBasar ÖnalMaurits KjærgaardMaurits KjærgaardNabil BentalebEthan MbappéNabil BentalebMaurits KjærgaardGabin BernardeauMamadou KonéMamadou KonéArthur AvomArsène KouassiArsène KouassiGabin BernardeauArsène KouassiPanos KatserisAmine HaritEmersonEmersonAmine El OuazzaniJoseph KaluluAmine SbaïJoseph KaluluAmine SbaïAmine El OuazzaniHarouna DjibirinCarlens ArcusAmine Sbaï← own goal

By situation

Open play
14 · 93%
Set pieces
0 · 0%
Penalties
1 · 7%
Vision AI Model Insight
15 goals conceded. 93% come in open play; set pieces account for only 0%, so dead-ball defending is not the main issue. 13% 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 (21% 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
4 g · 6.4 xG
Set pieces
0 g · 1.8 xG
Penalties
1 g
0% of goals come from set pieces (0 of 5), worth 1.8 xG from 33 shots. Set pieces are a secondary threat; the danger is in open play.

Where do Troyes's corners go?

52 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 (15)

13%20%47%13%
Delivered into the box 93%Short 7%

Left side (37)

3%11%19%24%11%11%11%8%
Delivered into the box 97%Short 3%

Where opponents attack Troyes from set pieces

8 shots from opponent corners against Troyes, 0 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 (5)

20%40%40%
Shot 5Goals 0

Left flag (3)

33%33%33%
Shot 3Goals 0

Tactical Strengths & Weaknesses

Strengths (top-third vs league)
  • field tilt % — 54.14 (75th pct)
  • shots /game — 13.62 (75th pct)
  • progression /game — 43.50 (70th pct)
  • box entries /game — 13.38 (65th pct)
Weaknesses (bottom-third vs league)
  • pass retention % — 76.79 (0th pct)
  • xG created /game — 1.13 (25th pct)
  • xG conceded /game — 1.41 (25th 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.

Auxerre
63%
Le Havre
61%
Brest
59%
Nantes
47%
Le Mans
45%

Performance vs Opponent Styles

The question
Not just how Troyes 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 Troyes's own passing behaviour to the result.

Results

opponent typegoals for/ggoals against/gpoints/g
vs high-pressing opponents (2m)1.001.501.50
vs mid-block opponents (2m)0.002.000.00
vs low-block opponents (4m)0.752.250.50

Behaviour — how Troyes actually play against each

opponent typeretentiondirectness (long balls)prog. passes/gxT/gbox entries/g
vs high-pressing opponents74%20%4610.010.0
vs mid-block opponents76%15%429.213.0
vs low-block opponents78%15%4310.715.2
Vision AI Model Insight
Facing a high press, retention drops to 74% vs 78% against a low block (4pt lower under pressure), and directness (long-ball share) sits at 20% when pressed vs 15% against a low block — a real style switch: they go noticeably more direct when pressed rather than trying to play through it.

Scouting Summary — the team in brief

In brief. Troyes are balanced-territory with a aggressive high-press. Their attack creates 1.13 xG a game and they concede 1.41 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 Troyes’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.

Troyes
across 8 matches this season
Threat from passingat Toulouse · 0-0 · 2026-10-253.42avg 6.05
Passesvs Paris FC · 0-0 · 2026-08-22504avg 403
Defensive actionsvs Strasbourg · 2-6 · 2026-09-06136avg 155
Progressive carriesat Lorient · 2-1 · 2026-08-2915avg 39
Expected goalsvs Strasbourg · 2-6 · 2026-09-062.41avg 1.13
Progressive passesat Toulouse · 0-0 · 2026-10-2532avg 44
Pass accuracyvs Paris FC · 0-0 · 2026-08-2282%avg 77%
Final-third entriesat Lorient · 2-1 · 2026-08-2933avg 44

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 Troyes’s last 8 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).

+9.2on-ball value, 8 matches
Where the value came from
Passes3223 actions+2.72
Carries774 actions+0.40
Dribbles117 actions-0.05
Shots109 actions+3.52
Ball wins521 actions+2.66
Most on-ball value (OBV)ActionsOBVper 100
Renaud Ripart163+1.60+0.98
Adrien Monfray605+1.22+0.20
Hugo Picard223+0.91+0.41
Timothé Nkada137+0.87+0.64
Mouhamed Diop343+0.82+0.24
Antoine Mille465+0.57+0.12
Junior Diaz438+0.55+0.13
Dermane Karim411+0.53+0.13
123456
Biggest single movesOBV
1  Renaud Ripart · shot+0.650
2  Kandet Diawara · pass+0.627
3  Hugo Picard · pass+0.359
4  Renaud Ripart · shot+0.296
5  Adrien Monfray · shot+0.287
6  Timothé Nkada · shot+0.202

Set Pieces by Player

Who delivers Troyes’s dead balls and who finishes them this season. 52 corners taken, most by Antoine Mille (19); 33 shots from corners and free kicks, 0 goals. “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
Antoine Mille1917 (89%)5—0.182—
Adrien Monfray——7—0.29——
Dermane Karim——5—0.18——
Hugo Picard1310 (77%)——0.00——
Kandet Diawara128 (67%)——0.00——
Jérémy Le Douaron——3—0.27——
Mouhamed Diop——3—0.30——
Renaud Ripart——2—0.14—1/1
Merwan Ifnaoui85 (62%)——0.00——
Iron Gomis——2—0.08——
Lucas Maronnier——2—0.05——
Junior Diaz——2—0.22——
Timothé Nkada——1—0.04——
Yvann Titi——1—0.02——

Top Performers

Ranked by Vision AI Score — the same tactical behavioural evaluation each player's own report page shows (min 216 minutes). Coloured chips are that player's strongest capability blocks.

playerposminVision AI Scorecapability blocks
Adrien MonfrayCB7616.0Ball-Winning 79%Progression 74%Breaking Pressure 67%Aerial & Box Defending 12%
Anis OuzenadjiFB4754.8Ball-Winning 60%Breaking Pressure 38%Wide Delivery 31%Ball-Carrying 8%
Lucas MaronnierFB5144.7Ball-Winning 70%Breaking Pressure 62%Wide Delivery 22%Ball-Carrying 12%
Junior DiazCB7614.4Breaking Pressure 65%Ball-Winning 49%Ball-Carrying 32%Aerial & Box Defending 25%
Dermane KarimCM5573.4Ball-Carrying 73%Successful Dribble 71%Progression 40%Chance Creation 26%
Antoine MilleAM6562.2Chance Creation 62%Ball-Carrying 11%Box Threat 9%
Renaud RipartST4901.4Box Threat 55%Finishing 22%Ball-Carrying 12%Aerial Threat 0%
Patrick BeachGK6671.2Shot-Stopping 12%
Mouhamed DiopCM6671.0Progression 23%Chance Creation 8%Ball-Carrying 7%Successful Dribble 2%

Top Creators

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

playerposminkey P /90box entriesxT
Antoine MilleM6561.78229.4
Hugo PicardM3553.30195.3
Merwan IfnaouiF4312.0996.0
Lucas MaronnierD5141.4096.9
Kandet DiawaraM3630.74103.4
Dermane KarimM5570.6565.3
Anis OuzenadjiD4750.9555.3
Mouhamed DiopM6670.2764.2

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)
Hugo PicardW3558 (50%)6 (67%)
Anis OuzenadjiFB4755 (20%)7 (29%)
Kandet DiawaraW3634 (25%)6 (17%)
Merwan IfnaouiW4312 (0%)7 (57%)
Timothé NkadaW2643 (33%)4 (25%)
Lucas MaronnierFB5141 (100%)5 (60%)

Defensive Volume Leaders

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

playerposmindef actionstacklesinterceptrecoveries
Adrien MonfrayD761142211436
Antoine MilleM65612324636
Dermane KarimM55711918651
Mouhamed DiopM66711314732
Junior DiazD761112111227
Renaud RipartF490896117
Anis OuzenadjiD4758712627
Lucas MaronnierD5148412723

Full Squad Data

Every player with 100+ minutes (17 players).

playerposappsmingoalsxGkey PprogdefxT
Adrien MonfrayD876100.634514213.3
Junior DiazD876101.02151124.7
Mouhamed DiopM866700.8281134.2
Patrick BeachG766700.0032196.0
Antoine MilleM865610.613371239.4
Dermane KarimM755711.84161195.3
Lucas MaronnierD751410.4841846.9
Renaud RipartF849012.3310891.9
Anis OuzenadjiD547500.1522875.3
Merwan IfnaouiF543100.11035376.0
Iron GomisM837200.328592.0
Kandet DiawaraM836300.2320393.4
Hugo PicardM635500.21326365.3
Jérémy Le DouaronF632211.440660.2
Timothé NkadaF626411.136291.0
Paolo GozziD325400.018322.1
Noah DonkorD519500.1212202.4

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.

Adrien Monfray
Ball-playing defender · Defender
minutes761
goals · xG0 · 0.6
prog passes /905.3
key passes /900.35
def actions /9016.8
pass accuracy87%
Junior Diaz
Stopper / marker · Defender
minutes761
goals · xG0 · 1.0
prog passes /901.8
key passes /900.24
def actions /9013.2
pass accuracy89%
Mouhamed Diop
Ball-winner / destroyer · Midfielder
minutes667
goals · xG0 · 0.8
prog passes /901.1
key passes /900.27
def actions /9015.2
pass accuracy88%
Patrick Beach
Goalkeeper · Goalkeeper
minutes667
goals · xG0 · 0.0
prog passes /904.3
key passes /900.00
def actions /902.6
pass accuracy58%
Antoine Mille
Ball-winner / destroyer · Midfielder
minutes656
goals · xG1 · 0.6
prog passes /905.1
key passes /901.78
def actions /9016.9
pass accuracy75%
Dermane Karim
Ball-winner / destroyer · Midfielder
minutes557
goals · xG1 · 1.8
prog passes /902.6
key passes /900.65
def actions /9019.2
pass accuracy84%
Lucas Maronnier
Ball-playing defender · Defender
minutes514
goals · xG1 · 0.4
prog passes /907.2
key passes /901.40
def actions /9014.7
pass accuracy75%
Renaud Ripart
Poacher / finisher · Forward
minutes490
goals · xG1 · 2.3
prog passes /901.8
key passes /900.55
def actions /9016.3
pass accuracy64%
Anis Ouzenadji
Stopper / marker · Defender
minutes475
goals · xG0 · 0.1
prog passes /904.2
key passes /900.95
def actions /9016.5
pass accuracy70%

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: pass retention % (0th pct)
Sign a secure ball-retaining midfielder. The data flags this because possession is turned over cheaply (76.79, 0th percentile vs the league).
Need — bottom-third: xG created /game (25th pct)
Sign a higher-volume goalscorer or chance creator. The data flags this because the attack under-produces xG (1.13, 25th percentile vs the league).
Need — bottom-third: xG conceded /game (25th pct)
Sign a defensive organiser / shot-suppressing centre-back. The data flags this because too much xG is conceded (1.41, 25th percentile vs the league).
Vision AI · building report