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.
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.
#
team
P
W
D
L
GF
GA
GD
Pts
14
Angers
8
2
2
4
9
15
-6
8
15
Le Mans
8
1
4
3
11
16
-5
7
16
Strasbourg
8
2
1
5
12
18
-6
7
17
Troyes
8
1
2
5
5
16
-11
5
18
Le Havre
8
0
2
6
8
15
-7
2
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)
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.
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).
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.
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.
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.
Phase
Share of the time
Build-up
23.0%
Progression
39.3%
Chance creation
35.1%
Attacking transition
2.7%
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.
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
Carries
the ball moved with a player
1185
ACTIONS
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.
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.
Channel
Entries
Per match
Share
League share
Left wing
130
16.2
37%
30%
Left half-space
46
5.8
13%
15%
Centre
20
2.5
6%
11%
Right half-space
34
4.2
10%
14%
Right wing
119
14.9
34%
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%
Long Wide60 · 9%
Long Central9 · 1%
Wide → FB277 · 40%
Central35 · 5%
◆ 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.
From channel
To channel
From third
To third
Outcome
Minutes
Channel to channel · click a cell
Third to third · click a cell
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%
Long Wide64 · 6%
Long Central7 · 1%
Wide → FB584 · 51%
Central113 · 10%
◆ 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.
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
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition17% of shots
19
0
1.57
0.08
Cross
4
0
0.43
0.11
Cut-back
4
0
0.29
0.07
Pass into the box / short pass
6
0
0.48
0.08
Own creation (carry, dribble, rebound)
5
0
0.37
0.07
Settled attack51% of shots
56
4
4.86
0.09
Cross
16
1
1.11
0.07
Cut-back
5
0
0.44
0.09
Long ball
3
0
0.12
0.04
Pass into the box / short pass
23
2
2.06
0.09
Own creation (carry, dribble, rebound)
9
1
1.14
0.13
Set piece31% of shots
34
1
2.57
0.08
Corner
31
0
1.73
0.06
Free kick
2
0
0.05
0.03
Penalty
1
1
0.79
0.79
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
Player
Set-ups
xG created
Goals
Antoine Mille
10
0.83
1
Kandet Diawara
2
0.65
1
Lucas Maronnier
7
0.56
0
Merwan Ifnaoui
7
0.47
0
Jérémy Le Douaron
4
0.33
0
Who takes them
Player
Shots
xG
Goals
Renaud Ripart
15
2.27
1
Jérémy Le Douaron
11
1.37
1
Timothé Nkada
14
1.08
1
Mouhamed Diop
8
0.80
0
Adrien Monfray
9
0.61
0
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%
Long Wide6 · 8%
Long Central4 · 5%
Wide → FB17 · 22%
Central44 · 56%
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.
Territory
Crosses
Share
Led to a shot
byline · right wing
36
27%
10
byline · left wing
35
27%
7
advanced · left wing
27
20%
1
advanced · right wing
21
16%
7
deep · left wing
4
3%
0
byline · left half-space
4
3%
0
deep · right wing
3
2%
0
byline · right half-space
2
2%
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
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.
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
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#9/20
lower = more intense; rank is what matters
Defensive actions / game
155
#2/20
High-press share
30%
#1/20
def actions won high up
Defensive-action height (0–100)
42.9
#1/20
avg pitch height of actions
High recoveries / game
23.6
#8/20
ball won in mid+att third
High-recovery share
54%
#9/20
share of recoveries won high
Opponent completion allowed
87%
#20/20
lower = more disruptive
Opponent progressive allowed
6.6%
#1/20
of 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
Every opponent key pass against them (70 total)
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.
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.
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)
Delivered into the box 93%Short 7%
Left side (37)
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)
Shot 5Goals 0
Left flag (3)
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 type
goals for/g
goals against/g
points/g
vs high-pressing opponents (2m)
1.00
1.50
1.50
vs mid-block opponents (2m)
0.00
2.00
0.00
vs low-block opponents (4m)
0.75
2.25
0.50
Behaviour — how Troyes actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
74%
20%
46
10.0
10.0
vs mid-block opponents
76%
15%
42
9.2
13.0
vs low-block opponents
78%
15%
43
10.7
15.2
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.]
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
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)
Actions
OBV
per 100
Renaud Ripart
163
+1.60
+0.98
Adrien Monfray
605
+1.22
+0.20
Hugo Picard
223
+0.91
+0.41
Timothé Nkada
137
+0.87
+0.64
Mouhamed Diop
343
+0.82
+0.24
Antoine Mille
465
+0.57
+0.12
Junior Diaz
438
+0.55
+0.13
Dermane Karim
411
+0.53
+0.13
Biggest single moves
OBV
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.
Player
Corners taken
Into the box
Set-piece shots
Goals
xG
Free-kick shots
Penalties
Antoine Mille
19
17 (89%)
5
—
0.18
2
—
Adrien Monfray
—
—
7
—
0.29
—
—
Dermane Karim
—
—
5
—
0.18
—
—
Hugo Picard
13
10 (77%)
—
—
0.00
—
—
Kandet Diawara
12
8 (67%)
—
—
0.00
—
—
Jérémy Le Douaron
—
—
3
—
0.27
—
—
Mouhamed Diop
—
—
3
—
0.30
—
—
Renaud Ripart
—
—
2
—
0.14
—
1/1
Merwan Ifnaoui
8
5 (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.
Chance creation leaders — key passes /90 and box entries.
player
pos
min
key P /90
box entries
xT
Antoine Mille
M
656
1.78
22
9.4
Hugo Picard
M
355
3.30
19
5.3
Merwan Ifnaoui
F
431
2.09
9
6.0
Lucas Maronnier
D
514
1.40
9
6.9
Kandet Diawara
M
363
0.74
10
3.4
Dermane Karim
M
557
0.65
6
5.3
Anis Ouzenadji
D
475
0.95
5
5.3
Mouhamed Diop
M
667
0.27
6
4.2
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.
player
pos
min
crosses (completed)
cutbacks (completed)
Hugo Picard
W
355
8 (50%)
6 (67%)
Anis Ouzenadji
FB
475
5 (20%)
7 (29%)
Kandet Diawara
W
363
4 (25%)
6 (17%)
Merwan Ifnaoui
W
431
2 (0%)
7 (57%)
Timothé Nkada
W
264
3 (33%)
4 (25%)
Lucas Maronnier
FB
514
1 (100%)
5 (60%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Adrien Monfray
D
761
142
21
14
36
Antoine Mille
M
656
123
24
6
36
Dermane Karim
M
557
119
18
6
51
Mouhamed Diop
M
667
113
14
7
32
Junior Diaz
D
761
112
11
12
27
Renaud Ripart
F
490
89
6
1
17
Anis Ouzenadji
D
475
87
12
6
27
Lucas Maronnier
D
514
84
12
7
23
Full Squad Data
Every player with 100+ minutes (17 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Adrien Monfray
D
8
761
0
0.6
3
45
142
13.3
Junior Diaz
D
8
761
0
1.0
2
15
112
4.7
Mouhamed Diop
M
8
667
0
0.8
2
8
113
4.2
Patrick Beach
G
7
667
0
0.0
0
32
19
6.0
Antoine Mille
M
8
656
1
0.6
13
37
123
9.4
Dermane Karim
M
7
557
1
1.8
4
16
119
5.3
Lucas Maronnier
D
7
514
1
0.4
8
41
84
6.9
Renaud Ripart
F
8
490
1
2.3
3
10
89
1.9
Anis Ouzenadji
D
5
475
0
0.1
5
22
87
5.3
Merwan Ifnaoui
F
5
431
0
0.1
10
35
37
6.0
Iron Gomis
M
8
372
0
0.3
2
8
59
2.0
Kandet Diawara
M
8
363
0
0.2
3
20
39
3.4
Hugo Picard
M
6
355
0
0.2
13
26
36
5.3
Jérémy Le Douaron
F
6
322
1
1.4
4
0
66
0.2
Timothé Nkada
F
6
264
1
1.1
3
6
29
1.0
Paolo Gozzi
D
3
254
0
0.0
1
8
32
2.1
Noah Donkor
D
5
195
0
0.1
2
12
20
2.4
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).