Combining every season — this one is larger, give it a moment.
Team reportSerie A 2025/26
Fiorentina
A balanced-territory side, aggressive high-press out of possession, with a moderate attack. Finished #15 of 20 on 42 points (9-15-14, 41:50). Tactical profile below is built from 38 matches of ball-by-ball event data, contextualised against the league.
In one read, what kind of team is Fiorentina and how good was the season?
Read. Fiorentina finished #15 of 20 on 42 points (9W-15D-14L, 1.11 pts/game), scoring 41 and conceding 50 for a goal difference of -9.
On the ball they are a balanced-territory team (48% field tilt, #10 in the league); off it they defend with a aggressive high-press (#13 of 20 for press intensity).
Across the 38 matches of event data, they create 1.30 xG/game (#8) and concede 1.33 (#12), a net of -0.03 xG/game — the underlying performance matches the actual goal difference.
Season Context — the league table
The question
Where did Fiorentina actually finish, and against whom?
The authoritative final table (full season), centred on Fiorentina.
#
team
P
W
D
L
GF
GA
GD
Pts
12
Parma Calcio 1913
38
11
12
15
28
46
-18
45
13
Torino
38
12
9
17
44
63
-19
45
14
Cagliari
38
11
10
17
40
53
-13
43
15
Fiorentina
38
9
15
14
41
50
-9
42
16
Genoa
38
10
11
17
41
51
-10
41
17
Lecce
38
10
8
20
28
50
-22
38
18
Cremonese
38
8
10
20
32
57
-25
34
Match Momentum — when they create and concede danger
The question
Across a whole game, which periods does Fiorentina 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
Fiorentina tend to stay fairly even across both halves — first-half net xG -0.54, second-half -0.61. Their strongest period is 61-75' (net +1.09 xG); their most dangerous period to face is 46-60' (net -1.58 xG against them).
xG Race — the season, match by match
Expected goals piling up over 38 matches: Fiorentina 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 (-1.1 xG). Hover a point for that match.
FiorentinaOpponents against Fiorentina
Tactical DNA
The football question
In five genes, what is Fiorentina'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.
52
Build-Up
possession control from the back
50
Progression
moving the ball upfield with threat
58
Creation
manufacturing chances
42
Press
winning the ball high & hard
40
Solidity
resisting the opponent's threat
Genetic identity
Fiorentina are defined most by their Creation DNA (58/100 · average at manufacturing chances), and least by their Solidity DNA (40/100). 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
39%
Possession
52%
Field tilt
48%
Disrupt
Central progression ~proxy
61%
Dribble tendency
78%
Progressive passes
43%
Finish
Final-third patience
26%
Shot quality
48%
Open-play xG
52%
Press
Forward press ~proxy
35%
High regains
13%
Pressing efficiency ~proxy
22%
Defend
Def-mid press ~proxy
35%
High line ~proxy
22%
PAdj defensive actions
35%
Fiorentina is defined most by Disrupt (61% in the league) and weakest on Press (23%). Percentiles vs the 23 teams in the league this season.
In possession
In possession
How they keep the ball, build up, progress, create and finish, and where their attacks die.
How much of the pitch does Fiorentina actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across Fiorentina'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; Fiorentina highlighted. Hover any dot for the team.
Vision AI Model Insight
Fiorentina post 48% field tilt, ranking #10 of 20 in the league — comfortably above the league mid-point for territorial control, and their 1.11 points/game sits below the league-average return — territory is genuinely converting into results.
Where the time goes — how long each phase lasts
The question
When Fiorentina has the ball, how much of that time is spent building, progressing and creating?
The share of Fiorentina'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
26.8%
Progression
48.0%
Chance creation
22.3%
Attacking transition
2.9%
Vision AI Model Insight
Progression is where Fiorentina spends most of its time on the ball (48% 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
Pongracic ↔ Comuzzo
396p · 6.1xT
Pongracic ↔ Fagioli
372p · 9.9xT
Dodô ↔ Pongracic
372p · 20.0xT
Pongracic ↔ Ranieri
366p · 6.2xT
Gea ↔ Pongracic
341p · 13.8xT
Dodô ↔ Fagioli
340p · 15.7xT
Dodô ↔ Comuzzo
300p · 15.3xT
Ranieri ↔ Fagioli
264p · 8.0xT
Mandragora ↔ Dodô
251p · 10.8xT
Gosens ↔ Ranieri
247p · 10.9xT
Vision AI Model Insight
Busiest connection: Marin Pongracic ↔ Pietro Comuzzo (396 passes). Most dangerous per pass: Albert Gudmundsson ↔ Luca Ranieri (0.08 xT/pass over 149 passes) — the combination that hurts opponents most when it fires, not just the one used most.
Touch Density — where Fiorentina had the ball
Every touch across 380 matches. Brighter means more touches.
Which Zones Do They Attack Through?
The question
Across the whole pitch, where does Fiorentina 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
17565
ACTIONS
Carries
the ball moved with a player
4483
ACTIONS
Vision AI Model Insight
Their single busiest zone is the centre of the middle third (11.8% of all actions). 64% of actions run through the inside lanes (centre + both half-spaces) versus 36% down the two wings — an inside-dominant, half-space build. By third: 30% defensive, 50% middle, 20% 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. Fiorentina leaned on their right (38%). The bars under the pitch put the league’s share beside theirs.
Fiorentina
38%25%38%
League
38%23%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. Fiorentina made 1453 this season (38.2 a match); 29% came into the right wing. Longer, bolder arrows mean more entries. Entries by carrying the ball in count as well as completed passes; dribbles are not counted.
Channel
Entries
Per match
Share
League share
Left wing
347
9.1
24%
28%
Left half-space
245
6.4
17%
15%
Centre
227
6.0
16%
13%
Right half-space
214
5.6
15%
15%
Right wing
420
11.1
29%
29%
Build-up2 sections
Build-Up — the pass map
The football question
How does Fiorentina 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.
5314build-up passes attempted
82%completed
27%reach the middle third
1%go long into the final third
Pass types
1930CB · 44%
282Long Wide · 6%
68Long Central · 2%
1585Wide → FB · 36%
489Central · 11%
Sequence success — build-up
989build-up sequences this season
10%succeed — reach the next third or a shot
40%turned over with nothing to show
CB1930 · 44%
Long Wide282 · 6%
Long Central68 · 2%
Wide → FB1585 · 36%
Central489 · 11%
◆ Vision AI Insight
Fiorentina build predominantly down the left, with Gea as the fulcrum (844 build-up passes). Only 28% of their build-up passes actually advance a third — the rest is lateral circulation, the hallmark of a possession-controlling side that circulates patiently in midfield before progressing. Their single most-repeated pattern is C def → RHS def (287×).
Pass Explorer
Every pass of Fiorentina’s last 10 matches as an arrow, theirs first and the opponents’ with other team, each side attacking left to right (solid = completed, dashed grey = failed). Eight families per team — click any map to open it wide, then filter by channel or third, from one to another (or click a cell of the flow grids), by outcome, half, minute and passer. Channels: right wing, right half-space, centre, left half-space, left wing.
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. 1574 progressive passes across 38 matches (41.4/game).
Origin lane
Right wing
27%
Right half-space
14%
Central
16%
Left half-space
14%
Left wing
29%
Progression is left-dominant: 41% right side · 16% central · 44% left.
Who generates it
Dodô
237 · 15%
Nicolò Fagioli
159 · 10%
Robin Gosens
132 · 8%
David de Gea
130 · 8%
Luca Ranieri
124 · 8%
Top two — Dodô & Nicolò Fagioli — account for 25% of all progression.
PROGRESSION
41.4 prog passes/game
mostly left
→
PENETRATION
27% reach final third
20% reach the box
→
THREAT
the other 73% is recycled
progress ≠ danger
What came of it.27% of progressive passes reached the final third and 20% the box; the rest was recycled in front of the block. 25% of the progression ran through two players, mostly down the left 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-spacebalanced
Left wingbalanced
Progression — the pass map
The football question
Once Fiorentina 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.
8671progression passes attempted
87%completed
14%break into the final third
12%go backward into the defensive third
Pass types
2539CB · 34%
250Long Wide · 3%
57Long Central · 1%
3604Wide → FB · 48%
1098Central · 15%
Sequence success — progression
1612progression sequences this season
27%succeed — reach the next third or a shot
41%turned over with nothing to show
CB2539 · 34%
Long Wide250 · 3%
Long Central57 · 1%
Wide → FB3604 · 48%
Central1098 · 15%
◆ Vision AI Insight
Fiorentina progress predominantly down the left, with Fagioli the busiest midfield outlet (964 progression passes). Only 14% of passes that start in midfield actually break the final-third line — the rest (74%) is recycled back into midfield or (12%) played backward, the hallmark of a side that carries progression itself through midfield rather than just passing through it. Their most-repeated pattern is LHS mid → LW mid (398×) — 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)
13%
Progressive
1%
Neutral / sideways
50%
Safe / backward
37%
14% of passes are progressive-or-better; the remaining 86% keep possession without advancing it. A control-first side — safe in build-up, reliant on a few players for the incision.
Where does Fiorentina actually progress the ball with their feet, not a pass?
995 progressive carries this season across the whole squad (24% of 4181 tracked carries total), grouped into up to 4 spatial patterns by where each carry starts and ends together — not just its origin zone. Median 15m, longest 55m. Most active carrier: Dodô (179). Filter to one player below.
First (299)Second (285)Third (214)Fourth (197)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 Fiorentina'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.
489shots
49.4xG
0.10xG per shot
30big chances (0.3+ xG)
40goals
#9key passes / game in the league
#8box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition19% of shots
95
11
9.85
0.10
Cross
9
1
1.03
0.11
Cut-back
2
1
0.55
0.27
Long ball
7
2
0.98
0.14
Pass into the box / short pass
52
5
4.60
0.09
Own creation (carry, dribble, rebound)
25
2
2.69
0.11
Settled attack61% of shots
297
19
27.44
0.09
Cross
61
3
7.64
0.13
Cut-back
16
1
1.70
0.11
Long ball
14
0
1.39
0.10
Pass into the box / short pass
135
10
10.97
0.08
Own creation (carry, dribble, rebound)
71
5
5.74
0.08
Set piece20% of shots
97
10
12.12
0.12
Corner
70
3
6.77
0.10
Free kick
21
1
0.59
0.03
Penalty
6
6
4.76
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
Dodô
52
5.98
3
Nicolò Fagioli
52
4.53
3
Manor Solomon
23
3.30
2
Albert Gudmundsson
24
2.19
2
Robin Gosens
14
1.77
1
Who takes them
Player
Shots
xG
Goals
Moise Kean
98
13.84
8
Albert Gudmundsson
41
5.98
5
Roberto Piccoli
47
5.69
4
Rolando Mandragora
64
4.41
7
Robin Gosens
18
2.36
3
Vision AI Model Insight
The biggest source of Fiorentina's chances, by xG, is settled attack (27.4 of 49.4 xG, 297 of 489 shots), mostly pass into the box / short pass. 95 of the 489 shots (19%) came within 15 seconds of winning the ball. 97 of the 489 shots came from set pieces; 40 goals from 49.4 xG (-9.4).
Chance Creation — the pass map
The football question
How does Fiorentina 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
18CB · 6%
19Long Wide · 6%
40Long Central · 12%
85Wide → FB · 26%
163Central · 50%
Sequence success — final-third
1111final-third sequences this season
24%succeed — produce a shot
36%turned over with nothing to show
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
CB18 · 6%
Long Wide19 · 6%
Long Central40 · 12%
Wide → FB85 · 26%
Central163 · 50%
Who creates — volume × threat
58Fagioli
50Dodô
31Gudmundsson
30Mandragora
24Solomon
18Parisi
14Harrison
325key passes #9 of 20
11.5box entries/game #8 of 20
29.8final-3rd entries/game #10 of 20
1.30xG/game #8 of 20
40goals #12 of 20
-9.4finishing vs xG #18 of 20
◆ Vision AI Insight
Fiorentina lean right — 42% of their key passes come from that flank and its half-space (138 of 325), most often from Dodô (46). They funnel chances into the c of the final third, most often via RW att → C att (45 key passes, most often from Dodô). Fagioli is the primary source overall. They generate 1.30 xG a game and finish it wasteful — they under-perform their xG, led by Moise Kean (8G), Rolando Mandragora (7G), Albert Gudmundsson (5G).
Crosses & Cutbacks — squad-wide
The question
How does Fiorentina deliver into the box from wide areas, and what comes of it?
506 crosses: 164 found a team-mate (32%), 65 led to a shot (13%). 83 cut-backs: 34 found a team-mate (41%), 19 led to a shot (23%). 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 Fiorentina actually cross from?
506 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. 25% come from one territory, the advanced right wing; 31 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
advanced · right wing
126
25%
21
byline · right wing
115
23%
12
byline · left wing
96
19%
17
advanced · left wing
76
15%
9
deep · right wing
32
6%
2
deep · left wing
30
6%
2
advanced · right half-space
10
2%
1
byline · right half-space
7
1%
1
advanced · left half-space
6
1%
0
byline · left half-space
6
1%
0
deep · left half-space
2
0%
0
Finishing3 sections
Shot Map
489 shots for 49.4 xG (1.30/game, #8 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Moderate attack. 12.9 shots/game at 0.101 xG/shot. Box entries 11/game (#8). Threat created 9.8 xT/game (#10).
Goal Sequences
The move behind each of Fiorentina’s 41 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 — 41 goals traced.
How Do They Score?
The question
Where do the goals actually come from — open play, dead balls, which foot?
Every goal Fiorentina scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
30 · 75%
Set pieces
4 · 10%
Penalties
6 · 15%
By finish
Right foot
21 · 52%
Left foot
15 · 38%
Header
4 · 10%
Vision AI Model Insight
40 goals scored. 75% come in open play; set pieces add 10%. 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
1069
Failed forward pass
754
Failed take-on
365
Lost in the defensive third
960
Their weakest zone is the left half-space in the attacking third: 34% of 602 pass attempts there are lost (205 times). Separately, 34% of all losses happen in the attacking third — a fair share happen deeper, which invites transitions.
Out of possession
Out of possession
How they press, where they win the ball back, and how they concede.
How hard does Fiorentina 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.
26
Pressing Index /100 · passive
Intensity32
PPDA, high-press share, high-zone actions
Height30
how high up the pitch they defend
Effectiveness20
high recoveries & high-regain share
Disruption25
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
18%
RHS
21%
C
23%
LHS
21%
LW
17%
By third (high / mid / low regain)
Def 52%
Mid 35%
Att 13%
Read
Ranked #13 of 20 for press intensity, this is a high press. Note the tension: 52% of their raw defensive actions still occur in their own third — a possession effect, not a passive one. Dominating the ball (20% high-press share) means that when they do defend, it is often deep. Of recoveries, 52% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#13/20
lower = more intense; rank is what matters
Defensive actions / game
117
#16/20
High-press share
20%
#11/20
def actions won high up
Defensive-action height (0–100)
36.2
#14/20
avg pitch height of actions
High recoveries / game
19.0
#16/20
ball won in mid+att third
High-recovery share
52%
#16/20
share of recoveries won high
Opponent completion allowed
82%
#12/20
lower = more disruptive
Opponent progressive allowed
10.1%
#18/20
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 Fiorentina win it back with a defensive action?
Counted over the 1093 opposition possessions that Fiorentina 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 Fiorentina step in. Fiorentina win it after 6.4 opponent passes in the first half-hour and after 3.9 after the hour mark (sooner).
PASSES THEY GET
5.1passes
median 3 · before Fiorentina win it
TIME THEY KEEP IT
16sec
median 8s · 28.8 wins per game
How many passes the opponent got in before the ball was won
44%
26%
16%
15%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
6.2
18s
15–30′
6.6
19s
30–45+′
5.5
17s
45–60′
4.9
15s
60–75′
3.9
11s
75–90+′
3.9
14s
average passesaverage seconds
Phases of play
Every moment of the match read twice — what Fiorentina were doing with the
ball, and what the opposition were doing about it at that exact moment. Built from the
real action sequence in time order, so one possession is split across the phases it
genuinely passed through rather than labelled once by where it began.
6,594phase segments analysed
9.0smedian time before the opposition engage
2.0their passes per defensive action when pressed
#11of 20 for share of defending spent pressing high
High press 6.5%Mid block 8.5%Low block 51.1%Unopposed 33.9%
What opponents do against Fiorentina
The mirror image, and the part no other section can show: whether teams come
out to press Fiorentina or sit in and invite them on. A side that is always faced with a low
block is playing a different sport from one that is pressed every week.
High press 5.8%Mid block 11.9%Low block 49.1%Unopposed 33.1%
Which phases actually produce
Phase
Segments
Avg length
Avg actions
Ends in shot
Turned over
Build-up
2,078
5.3s
3.1
0.3%
49.9%
Progression
2,771
7.1s
4.1
0.4%
45.5%
Chance creation
1,584
5.8s
3.2
28.0%
50.4%
Attacking transition
161
7.4s
4.5
5.0%
36.0%
Most common routes through the phases
How a possession actually travelled, in order. The chain is the tactical signature — a move that climbs all three thirds is a different thing from one that never leaves the first.
Route
Times
Ends in shot
build_up
814
0.2%
progression
684
0.0%
progression → chance_creation
347
32.3%
build_up → progression
328
0.0%
chance_creation
318
39.9%
build_up → progression → chance_creation
195
30.8%
Attitude in each third
Every other style number here says how much Fiorentina 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 Fiorentina 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) 5,314 passes
nothing unusual in this zone
Width of use-0.2820.41
Wide-channel share-0.200.29
Side bias+0.241.06
Pass length-0.0322.61
Long-ball share-0.210.21
Forward gain per pass-0.2410.42
Backward-pass share+0.360.22
Deep-pass share-0.190.27
Completion+0.280.82
Seconds between passes-0.323.13
Side used
left 28% · central 46% · right 25%
Progression (middle third) 8,671 passes
nothing unusual in this zone
Width of use-0.3024.93
Wide-channel share-0.310.38
Side bias+0.441.80
Pass length+0.2717.61
Long-ball share-0.160.09
Forward gain per pass-0.253.22
Backward-pass share+0.180.34
Deep-pass share-0.220.15
Completion+0.330.86
Seconds between passes-0.273.08
Side used
left 37% · central 31% · right 32%
Final third 3,580 passes
nothing unusual in this zone
Width of use-0.5930.16
Wide-channel share-0.600.53
Side bias-0.17-1.65
Pass length+0.3416.00
Long-ball share+0.040.10
Forward gain per pass+0.151.24
Backward-pass share+0.020.39
Deep-pass share+0.140.09
Completion-0.020.70
Seconds between passes+0.173.53
Side used
left 38% · central 19% · right 43%
Reference measured across roughly 3,500 match-teams
in this competition, per third, so the comparison is with Fiorentina'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 Fiorentina 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 share16%
#14 of 20 · reaches final third in ≤3 passes
Patient build-up share30%
#9 of 20 · spells of 6+ passes
Tempo (possession length)19.6s
#14 of 20 · shorter = faster tempo
Passes per possession4.8
#9 of 20
Counter-attack shots /game1.13
#4 of 20 · shot within 12s of a regain in own half
Press→shot /game3.02
#7 of 20 · shot within 8s of a high regain
Speed to final third after regain14.5s
#17 of 20 · lower = faster break
Sequence success — attacking transition
116attacking transition sequences this season
22%succeed — produce a shot
37%turned over with nothing to show
Sequence success — defensive transition
326defensive transition sequences this season
59%succeed — reach the next third or a shot
11%turned over with nothing to show
Vision AI Model Insight
Fiorentina are a patient build-up side: 16% of possessions reach the final third in 3 passes or fewer (#14 of 20), against 30% built patiently over 6+ passes (#9 of 20). Winning the ball back leads to a shot inside 12 seconds 1.13 times a game (#4), and a high regain converts to a shot within 8 seconds 3.02 times a game (#7 of 20) — a modest but real source of chances.
Defending the box2 sections
Vulnerability Map — how opponents hurt them
The report flipped: where do opponents create their threat against Fiorentina? 1740 opponent progressive passes and 514 shots faced (50.6 xG against) across the season.
Opponent threat by lane (attacking into Fiorentina)
Right wing
30%
Right half-space
14%
Central
17%
Left half-space
10%
Left wing
29%
Where the danger came from. Opponents generated most of their threat through the right wing (30% of the danger conceded).
How Do They Concede?
The question
Where do the goals against Fiorentina actually come from — open play, dead balls, and who supplies them?
Every goal Fiorentina conceded across the loaded matches — the opponent's shots in Fiorentina'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 (389 total)
By situation
Open play
35 · 73%
Set pieces
8 · 17%
Penalties
5 · 10%
Vision AI Model Insight
48 goals conceded. 73% come in open play; set pieces account for only 17%, so dead-ball defending is not the main issue. 27% 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 (18% of key passes faced) — that is the zone to shut off.
Context
Shape and tactics
Set pieces, strengths and weaknesses, and who they resemble.
How much of the goal threat is manufactured from dead balls — a route to goal that bypasses their open-play mechanism entirely.
Open play
30 g · 37.3 xG
Set pieces
4 g · 7.4 xG
Penalties
6 g
10% of goals come from set pieces (4 of 40), worth 7.4 xG from 91 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Fiorentina's corners go?
170 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 (79)
Delivered into the box 99%Short 1%
Left side (91)
Delivered into the box 96%Short 4%
Where opponents attack Fiorentina from set pieces
85 shots from opponent corners against Fiorentina, 8 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 (45)
Shot 45Goals 4
Left flag (40)
Shot 40Goals 4
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
none stand out
Weaknesses (bottom-third vs league)
press intensity (PPDA) — 7.31 (35th 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.
Sassuolo
65%
Lazio
55%
Cagliari
31%
AC Milan
31%
Udinese
27%
Performance vs Opponent Styles
The question
Not just how Fiorentina 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 Fiorentina's own passing behaviour to the result.
Results
opponent type
goals for/g
goals against/g
points/g
vs high-pressing opponents (12m)
1.00
1.25
1.50
vs mid-block opponents (12m)
0.92
1.42
0.75
vs low-block opponents (14m)
1.29
1.29
1.07
Behaviour — how Fiorentina actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
79%
16%
33
7.9
8.4
vs mid-block opponents
81%
14%
42
10.1
11.7
vs low-block opponents
84%
11%
48
11.3
13.9
Vision AI Model Insight
Facing a high press, retention drops to 79% vs 84% against a low block (5pt lower under pressure), and directness (long-ball share) sits at 16% when pressed vs 11% 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. Fiorentina are balanced-territory with a aggressive high-press.
Their attack creates 1.30 xG a game and they concede 1.33 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 Fiorentina’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.
Threat from passingvs Lecce · 0-1 · 2025-11-029.00avg 5.16
Progressive passesat Parma Calcio 1913 · 0-1 · 2025-12-2766avg 41
On-Ball Value — who moved the game
Every pass, carry, take-on, shot and ball win is worth the change it made to the chance of scoring minus the chance of conceding in the next 10 seconds. This is Fiorentina’s last 12 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).
+15.3on-ball value, 12 matches
Where the value came from
Passes5372 actions+9.07
Carries1292 actions-1.14
Dribbles169 actions+0.00
Shots129 actions+4.23
Ball wins579 actions+3.11
Most on-ball value (OBV)
Actions
OBV
per 100
Dodô
710
+3.35
+0.47
Jack Harrison
499
+1.97
+0.40
Albert Gudmundsson
458
+1.91
+0.42
Nicolò Fagioli
773
+1.62
+0.21
Cher Ndour
491
+1.26
+0.26
David de Gea
454
+1.23
+0.27
Luca Ranieri
722
+1.10
+0.15
Manor Solomon
272
+0.99
+0.37
Biggest single moves
OBV
1 Dodô · pass
+0.531
2 Dodô · pass
+0.460
3 Cher Ndour · shot
+0.442
4 Marco Brescianini · pass
+0.412
5 Cher Ndour · pass
+0.393
6 Moise Kean · shot
+0.330
Set Pieces by Player
Who delivers Fiorentina’s dead balls and who finishes them this season. 170 corners taken, most by Rolando Mandragora (47); 91 shots from corners and free kicks, 4 goals, led by Robin Gosens (1 goals, 1.53 xG). “Into the box” counts corners that landed inside the penalty area; free-kick takers are the players who shot from one, because this feed does not mark who delivers the others.
Player
Corners taken
Into the box
Set-piece shots
Goals
xG
Free-kick shots
Penalties
Rolando Mandragora
47
45 (96%)
24
1
0.86
14
1/1
Nicolò Fagioli
31
29 (94%)
9
—
0.24
4
—
Albert Gudmundsson
24
19 (79%)
3
—
0.11
2
3/3
Luca Ranieri
—
—
11
1
0.95
—
—
Moise Kean
—
—
7
—
1.44
—
2/2
Fabiano Parisi
11
10 (91%)
5
—
0.20
—
—
Hans Nicolussi Caviglia
19
17 (89%)
1
—
0.02
1
—
Robin Gosens
—
—
6
1
1.53
—
—
Manor Solomon
17
12 (71%)
—
—
0.00
—
—
Pietro Comuzzo
—
—
5
1
1.00
—
—
Jack Harrison
13
10 (77%)
—
—
0.00
—
—
Roberto Piccoli
1
0 (0%)
4
—
0.20
—
—
Jacopo Fazzini
4
4 (100%)
2
—
0.08
—
—
Dodô
—
—
3
—
0.07
—
—
Top Performers
Ranked by Vision AI Score — the same tactical behavioural evaluation each player's own report page shows (min 300 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
Nicolò Fagioli
M
2655
1.97
68
43.6
Dodô
D
3294
1.37
71
46.7
Rolando Mandragora
M
2499
1.08
38
21.2
Albert Gudmundsson
F
2349
1.19
37
17.9
Manor Solomon
F
950
2.27
26
10.1
Fabiano Parisi
M
1579
1.03
31
17.2
Jack Harrison
F
1039
1.21
27
10.7
Robin Gosens
D
1941
0.51
21
22.2
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)
Dodô
FB
3294
53 (34%)
44 (41%)
Jack Harrison
W
1039
23 (43%)
6 (50%)
Manor Solomon
W
950
5 (20%)
13 (46%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Marin Pongracic
D
3092
464
31
35
158
Dodô
D
3294
381
29
30
172
Luca Ranieri
D
2574
363
34
24
74
Pietro Comuzzo
D
1798
308
32
24
62
Robin Gosens
D
1941
290
31
25
46
Cher Ndour
M
1983
283
35
14
75
Nicolò Fagioli
M
2655
280
46
16
146
Rolando Mandragora
M
2499
253
45
13
69
Full Squad Data
Every player with 100+ minutes (25 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
David de Gea
G
37
3530
0
0.0
1
130
70
30.9
Dodô
D
36
3294
1
1.6
50
237
381
46.7
Marin Pongracic
D
35
3092
0
0.5
6
104
464
34.0
Nicolò Fagioli
M
33
2655
2
2.1
58
159
280
43.6
Luca Ranieri
D
34
2574
1
1.7
7
124
363
33.1
Rolando Mandragora
M
34
2499
7
4.4
30
79
253
21.2
Albert Gudmundsson
F
33
2349
5
6.0
31
69
153
17.9
Moise Kean
F
26
2142
8
13.8
2
5
128
2.4
Cher Ndour
M
33
1983
3
2.0
6
44
283
12.5
Robin Gosens
D
26
1941
3
2.4
11
132
290
22.2
Roberto Piccoli
F
32
1811
4
5.7
12
5
203
1.3
Pietro Comuzzo
D
27
1798
1
1.2
3
37
308
14.4
Fabiano Parisi
M
23
1579
1
1.5
18
86
209
17.2
Jack Harrison
F
15
1039
1
0.9
14
65
91
10.7
Manor Solomon
F
16
950
2
0.8
24
64
68
10.1
Marco Brescianini
M
17
917
2
2.0
6
25
91
5.5
Pablo Marí
D
11
858
0
0.1
2
26
152
8.0
Jacopo Fazzini
M
20
653
0
0.7
9
22
100
6.3
Niccolò Fortini
M
16
630
0
0.3
4
37
96
6.7
Giovanni Fabbian
M
15
525
2
2.0
5
6
78
1.8
Daniele Rugani
D
6
346
0
0.1
0
9
56
2.3
Mattia Viti
D
10
316
0
0.0
0
14
55
3.3
Edin Dzeko
F
11
296
0
0.4
1
4
36
1.0
Luís Balbo
D
6
238
0
0.0
1
14
36
2.4
Riccardo Braschi
F
2
107
0
0.3
0
0
13
0.0
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.
David de Gea
Goalkeeper · Goalkeeper
minutes3530
goals · xG0 · 0.0
prog passes /903.3
key passes /900.03
def actions /901.8
pass accuracy70%
Dodô
Ball-playing defender · Defender
minutes3294
goals · xG1 · 1.6
prog passes /906.5
key passes /901.37
def actions /9010.4
pass accuracy78%
Marin Pongracic
Stopper / marker · Defender
minutes3092
goals · xG0 · 0.5
prog passes /903.0
key passes /900.17
def actions /9013.5
pass accuracy92%
Nicolò Fagioli
Advanced creator · Attacking mid
minutes2655
goals · xG2 · 2.1
prog passes /905.4
key passes /901.97
def actions /909.5
pass accuracy87%
Luca Ranieri
Stopper / marker · Defender
minutes2574
goals · xG1 · 1.7
prog passes /904.3
key passes /900.24
def actions /9012.7
pass accuracy85%
Rolando Mandragora
Ball-winner / destroyer · Midfielder
minutes2499
goals · xG7 · 4.4
prog passes /902.8
key passes /901.08
def actions /909.1
pass accuracy80%
Albert Gudmundsson
Box-to-box midfielder · Midfielder
minutes2349
goals · xG5 · 6.0
prog passes /902.6
key passes /901.19
def actions /905.9
pass accuracy83%
Moise Kean
Poacher / finisher · Forward
minutes2142
goals · xG8 · 13.8
prog passes /900.2
key passes /900.08
def actions /905.4
pass accuracy70%
Cher Ndour
Ball-winner / destroyer · Midfielder
minutes1983
goals · xG3 · 2.0
prog passes /902.0
key passes /900.27
def actions /9012.8
pass accuracy81%
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: press intensity (PPDA) (35th pct)
Sign a high-energy presser to lift defensive intensity. The data flags this because the press is passive (7.31, 35th percentile vs the league).
Need — below-average: xG conceded /game (40th pct)
Sign a defensive organiser / shot-suppressing centre-back. The data flags this because too much xG is conceded (1.33, 40th percentile vs the league).
Need — below-average: field tilt % (50th pct)
Sign a possession-controlling midfielder to win the territorial battle. The data flags this because they get pinned back (48.16, 50th percentile vs the league).
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