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Player reportSerie A 2025/26

Oliver Provstgaard

Lazio
Ball-playing centre-back CB
7.1 progressive passes/90 · 0.8 line-breaking/90
Capability Analysis
Aerial & Box Defending14%vs 45 centre-backs
"Can he win the individual defensive battle in his own box?"
Aerial duels won /900.00%
Aerial win rate: 0.0%
Clearances /903.6329%
Ball-Winning32%vs 45 centre-backs
"How actively does he win the ball back?"
Interceptions /900.9631%
Ball recoveries /903.0136%
Tackles /900.732%
Duels won /901.9358%
Breaking Pressure
only 87 pressured-passing actions across 2 high-press matches -- not enough sample (needs 5+ matches and 12+ actions)
Progression75%vs 45 centre-backs
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /903.7469%
Line-breaking passes /900.7758%
Threat added by passing /901.31xT89%
Pass accuracy91.84%84%
Ball-Carrying94%vs 45 centre-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /908.2296%
Carry distance /90171.04m91%
centre-backball-playing centre-backbuild-upline-breaking
2332
minutes
34 apps
1594
passes
92% completed
92%
pass completion
1594 passes
183
progressive passes
7.1/90
109
line-breaking passes
4.2/90
336
defensive actions
13.0/90
44
tackles + interceptions
58% tackle win
94
clearances
3.6/90
Overview

The player

Who he is and how he compares with his peers.

01

What Patterns Define Him?

His repeatable signature. A step only appears if its reliability score (sample size × match coverage) reaches at least Medium confidence — pattern mining, not anecdotes.

RECEIVE
in the first line of build-up — mostly in the middle third (59% of his 1594 passes)
92% completion · 1594× in 34/34 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
7.1 prog/90 · 109× in 28/34 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 60× in 23/34 matches
↓
PROGRESS
entries into the final third
5.4/90 · 140× in 25/34 matches
Signature: Receive → Break A Line → Switch Play → Progress — the only steps proven repeatable this season (4 of 5 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: carry out — 10× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
17

Where is he influential — vs where is he merely present?

Red fill = raw touch territory. Gold rings = zones where his influence (xT added, progression, line-breaks, key passes) outweighs how often he's actually there — one combined map instead of two separate maps to compare by eye. Red with no ring: present but not dangerous. A ring on faint red: rare touches, outsized impact.

own goal left, attacking →
47
passes / match
13.0
def actions / 90
2–123
pass range (matches)
94
clearances
Pass range = his fewest and most passes in any single match this season (2 at the low end, 123 at the high) — a measure of match-to-match involvement, not pass distance.
In possession

In possession

What he does with the ball: build-up, progression, creation, carrying and finishing.

10

How dangerous are his carries?

Real ball-carries

458 tracked carries (17.7/90, 122 progressive, 4178m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). even a player who rarely dribbles past a man can still carry the ball forward constantly in build-up; this is that.

0%0%1%0%3%16%22%10%0%5%17%17%8%0%
progressivelateral/short% of his 458 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 36m
By zone — where the carry started → where it ended
25Outside → Inside
376Inside → Inside
31Outside → Outside
26Inside → Outside
First (162)Second (150)Third (96)Fourth (50)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Beaten in the tackle

How often an attacker gets past him in a 1v1 defensive duel — the closest signal the data has to "dribbled past" (no attacker-beat-defender field exists directly, so this counts tackles he attempted and lost).

19
tackle duels
11
won
8
beaten · 42%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 58%
OUTSIDE 42%
Tackle-duel location — 11 inside · 8 outside
Right Wing
0 · 0%
Right Half-Space
2 · 11%
Central
6 · 32%
Left Half-Space
3 · 16%
Left Wing
8 · 42%
Vision AI beaten in 8 of 19 tackle duels (42% loss rate) — a real defensive leak worth flagging.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 5 dribbles of his own all season — dribbling is not part of this role; his ball-carrying is covered above, his defending against the dribble below.

02

How does he build & move the ball?

How does he escape the first line?

15%
vertical passes
157×
4%
switches
47×
35%
carries
367×
46%
short circulation
484×
Answer: he escapes the press primarily through carrying — stepping out with the ball.

How he moves the ball — his 4 busiest progression routes, not where every pass starts and ends separately. Arrow width = how often, colour = xT gained, dashed = switch of play. The full breakdown is in the lane matrix below.

own goal left, attacking →
Lane transition matrix — when he receives in a lane, where does it go?
TO →RWRHSCLHSLWRW1443%636%521%3RHS5229%1531%1623%1212%66%3C43310%4220%8541%17916%6814%59LHS7161%98%5532%23122%15937%262LW2490%121%5327%6751%128FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the left half-space in the middle third → central areas in the middle third — 12 progressive passes (12% of his progression) at 0.015 xT each. He moves it inside.

His progression is inward: 36% of progressive passes move the ball toward the middle versus 18% going wider — he cuts in rather than holding width.

10% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 20 line-breaking passes and 140 final-third entries, 26.5 total xT added.

Origin and destination are measured on the same event row — no receiver inference. Receiver identity is not recoverable from this data source.
All passes — origin zone share
Filter: from to
0%1%1%1%0%0%5%10%14%9%1%0%5%17%19%15%1%0%
completedincomplete1594 passes · any zone → any zone · own goal left, attacking →
1594
passes
92%
completed
130
lost
Vision AIIn line with his 92% season completion rate.
03

How does he progress play?

How much he drives the ball forward. Progressive = completed pass advancing ≥15 toward goal.

183
progressive · 7.1/90
140
final-third entries · 5.4/90
1
box entries · 0.04/90
24
progression index /90
Progression index: one composite number — progressive passes + progressive carries + 2% of total distance progressed + 8× positive xT added, all per 90. Weights VOLUME and THREAT together rather than counting progressive actions alone.
12

How does he create chances?

5 key passes (0.19/90), 0 of them assists — where his chance creation specifically comes from, 18 zones (6×3), showing his share of key passes originating there.

Chance creation — key pass origin zone share
Filter:
20%20%20%20%20%
chance creation (5)assist (0)% of the selected group's key passes originating in each zone
06

Where does he become vulnerable?

133 times he gave the ball away. For a defender the danger is where — a loss in his own third can turn into a chance against; higher up it costs little.

9
attacking third (cheap)
72
middle third
52
own third (dangerous)
Vision AI 7% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.49 danger-index/90 · 0.485 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
05

What is his passing profile?

1594
passes attempted
54%
mostly forward
49%
mostly medium
Direction
Forward
867 · 54%
Sideways
521 · 33%
Backward
206 · 13%
Length (completed)
Short (<15m)
668 · 46%
Medium
711 · 49%
Long (>30m)
85 · 6%
07

Preferred Progression Routes — xT-weighted

His progressive passes as zone→zone routes, weighted by expected threat (xT) added — arrow width and the number are the total xT generated on each route, not just how often he plays it. This is where he actually moves the needle.

1.591.301.080.890.820.70
own goal left, attacking →
Highest-value routes (xT)
1.59
Left Half-Space Mid third → Left Wing Mid third
28 passes · 1 to a shot
1.30
Left Half-Space Mid third → Left Wing Att third
14 passes
1.08
Left Half-Space Mid third → Left Half-Space Mid third
12 passes
0.89
Left Wing Mid third → Left Wing Mid third
15 passes
0.82
Left Wing Mid third → Left Wing Att third
5 passes
0.70
Central Def third → Central Mid third
6 passes · 1 to a shot
08

Where Does He Receive?

The zones where Oliver Provstgaard gets on the ball — his top three ball-collection areas highlighted (gold = primary). Reception is proxied by where his on-ball actions begin (no explicit receiver is recorded).

123
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
31%
Primary
Left Half-Space, Middle third
16%
Secondary
Central, Middle third
16%
Third
Left Half-Space, Defensive third
These are the zones where he collected the ball most.
09

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Oliver Provstgaard actually gets on the ball. Hover any zone for its breakdown by action type, its share of all touches, and the exact coordinate range it covers.

Filter:
83269300240226781622301461310113191123
own goal left, attacking → · brighter + higher number = more touches

Passes only — completed vs incomplete, by zone

Same zone grid, restricted to passes so completed/incomplete and match filters actually mean something — a shot or a dribble has no "completed" in the pass sense.

0%1%1%1%0%0%5%10%14%9%1%0%5%17%19%15%1%0%
own goal left, attacking →
11

Every Pass This Season — completed vs incomplete

Every pass this season, plotted individually — green = completed, grey (dashed) = incomplete, gold = key pass. Filter by outcome or isolate one match below.

5Key pass
1Cross
1Cutback
183Progressive
109Long ball
60Switch
By zone — where the pass started → where it landed
128Outside → Inside
811Inside → Inside
135Outside → Outside
390Inside → Outside
By direction
867Forward
206Backward
521Sideways
own goal left, attacking →
04

Tactical patterns — how his football actually looks

Three clustered sequence diagrams from his own event data — his three busiest routes: the way he progresses, the pattern behind his chances, and where a turnover turns dangerous.

own goal left, attacking →
How does he progress the ball forward?
His most common route for progressing play: he switches it out from the left hs to the left wing in the middle third — 28 passes worth 1.59 xT.
Where do his chances come from?
Of 5 key passes, his busiest route is a delivery where he plays straight through the central, advancing it forward in the defensive third — 1 times. The receiver isn't identifiable in this data, only where the pass started and ended.
Where does he lose the ball most?
This is a RATE, not a raw count — the share of his touches in each zone that end in a turnover, so a zone he simply plays in more often doesn't automatically look riskier. His weakest zone is the central in the final third: 23% of his 13 touches there are lost (3 times).
—4 touches · too few0%0/21 lost4%8/185 lost8%20/262 lost18%23/128 lost22%2/9 lost0%0/29 lost6%16/262 lost6%32/495 lost14%21/152 lost—3 touches · too few—4 touches · too few23%3/13 lost15%2/13 lost7%1/14 lostRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

336 defensive actions across the season (13.0/90). Where he wins the ball, and how — the core question for a defender. Aerial duels are not recorded for this competition, so aerial dominance is not measured here.

click a card to isolate that action type · own goal left, attacking →
19
tackles · 58% won
25
interceptions · 1.0/90
78
recoveries · 3.0/90
94
clearances · 3.6/90
9
blocks
33
avg action height
24
won high (att 3rd)
124
middle third
188
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 122 proactive ball-wins (4.7/90), tackle success 58%. He defends mostly around the middle third.
14

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Oliver Provstgaard still play out when the opponent presses high? His build-up quality split by press intensity — the key question for a ball-playing defender. Tiers of ~11-12 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 4.9, 11m)
91%
6.3
3.9
1.02
Mid press (PPDA 7.0, 11m)
92%
7.6
4.3
1.19
Low press (PPDA 10.8, 12m)
92%
7.3
4.4
1.62
Team

Team context

How much of the team runs through him, and what changes without him.

15

Impact on the Team

Lazio's output per match with Oliver Provstgaard (8 matches) versus without him (1 matches). Insufficient evidence — the without-sample is only 1 matches; treat every Δ below as noise until more games exist. What his own defending should move — goals conceded and results — leads; attacking output (largely out of a defender's hands) is shown after, for context. A proper on-off model needs many more minutes.

WITH (8)
WITHOUT (1)
Δ
goals against /match
0.62
2.00
-1.38
points /match
2.75
3.00
-0.25
goals for /match
2.00
6.00
-4.00
xG for /match
1.28
2.90
-1.62
16

His Share of the Team

Of everything Lazio produced this season, the categories where the biggest share ran through Oliver Provstgaard specifically — his share of the team total, not a per-90 rate.

category
share
him / team
clearances
6%
94 / 1526
final-third entries
6%
147 / 2573
threat added by passing (xT)
5%
33.8 / 628.7
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

18

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 515 centre-backs in the pool (min 450 min). This is what separates players who post similar numbers but play differently. Proxy dimensions are inferred from on-ball data; true off-ball running / under-pressure context is not measured.

Ball-playing centre-back76%Stopper centre-back45%
Why Ball-playing centre-back 76%: a weighted blend of retention 77 (weight 30%) + build-up 68 (weight 30%) + progression 78 (weight 25%) + press resistance 55 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
receiving zones, passing directness, carrying, creativity, progression, transition, retention
Average
final-third threat, build-up, line-breaking, crossing, press resistance, defensive aggression
Weak
dribbling, box threat, ball-winning, through-balls, territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Receiving zones
83
Passing directness
83
Carrying
83
Creativity
83
Progression
78
Transition ~proxy
77
Retention
77
Final-third threat
69
Build-up
68
Line-breaking
65
Crossing
64
Press resistance ~proxy
55
Defensive aggression
51
Dribbling
38
Box threat
27
Ball-winning
27
Through-balls ~proxy
26
Territory (wide vs central)
24
19

Similar Players — in style space

Closest comparables measured on the style scores above, within the same position family — so it separates how players are alike, not just how much they touch the ball. Each line explains the shared strength and the divergent mechanism. A light physical-profile term (height / weight; this player: 194 cm / 70 kg) is included at a quarter of one style axis's weight — enough to break ties between stylistic twins, not to override style. Scope: pooled across the Serie A, Bundesliga, La Liga, Ligue 1 and Premier League, percentiled within each player's own league before comparing — a match from another league is marked with its league name.

Style, not quality: a high match here means two players tend to produce the ball in similar ways — it is not a ranking, a scouting recommendation, or a claim that they are equally good.

Pau Cubarsí Barcelona · La Liga · 183 cm / 79 kg
81%
Driven by: transition (16%), carrying (11%), passing directness (11%). Different mechanism — Provstgaard more via dribbling, crossing; Cubarsí more via through-balls, ball-winning.
Edmond Tapsoba Leverkusen · Bundesliga · 192 cm / 84 kg
79%
Driven by: transition (18%), carrying (13%), receiving zones (11%). Different mechanism — Tapsoba more via box threat, dribbling.
Rúben Dias Man City · Premier League · 187 cm / 86 kg
78%
Driven by: carrying (13%), transition (13%), passing directness (11%). Different mechanism — Provstgaard more via line-breaking, defensive aggression; Dias more via through-balls.
Kim Min-Jae Bayern · Bundesliga · 190 cm / 81 kg
75%
Driven by: transition (19%), receiving zones (12%), retention (12%). Different mechanism — Provstgaard more via creativity; Min-Jae more via ball-winning, through-balls.
Moussa Niakhaté Lyon · Ligue 1 · 190 cm / 82 kg
75%
Driven by: transition (17%), progression (12%), carrying (12%). Different mechanism — Niakhaté more via through-balls, dribbling.
Dean Huijsen Real Madrid · La Liga · 195 cm / 87 kg
73%
Driven by: progression (13%), transition (11%), retention (10%). Different mechanism — Huijsen more via box threat, line-breaking.
20

Summary

Oliver Provstgaard is a ball-playing centre-back: 92% pass completion, 109 line-breaking passes and 7.1 progressive passes /90. A build-and-progress centre-back whose value is in beating the first line with the pass, not in raw defensive volume. [Aerial duels, marking, line-height and 1v1 recovery need aerial-event + tracking data, absent here.]

Based on 34 matches (2332 minutes) this season — a reliable read. He profiles as a ball-playing centre-back — best used in a system built around that identity. His biggest room for growth is press resistance — even a modest improvement there would meaningfully lift his overall ball-playing centre-back profile.
✨ This report is interactive

Click any stat card to filter its map, hover a dot for the exact match, and use the dropdowns to slice passes zone-to-zone. Nothing here is static.

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