العربيةSeason2025/262026 · this seasonAll seasons
Building the full report
Combining every season — this one is larger, give it a moment.
Vision AI ← BACK TO SEARCH
Player reportPremier League 2026

Tyrone Mings

Aston Villa
Ball-playing centre-back CB
4.9 progressive passes/90 · 0.0 line-breaking/90
Capability Analysis
Aerial & Box Defending28%vs 50 centre-backs
"Can he win the individual defensive battle in his own box?"
Aerial duels won /900.00%
Aerial win rate: 0.0%
Clearances /905.3556%
Ball-Winning22%vs 50 centre-backs
"How actively does he win the ball back?"
Interceptions /900.576%
Ball recoveries /902.8428%
Tackles /900.430%
Duels won /902.3754%
Breaking Pressure
only 124 pressured-passing actions across 4 high-press matches -- not enough sample (needs 5+ matches and 12+ actions)
Progression54%vs 50 centre-backs
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /903.5162%
Line-breaking passes /900.5222%
Threat added by passing /901.02xT56%
Pass accuracy89.07%76%
Ball-Carrying75%vs 50 centre-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /906.8772%
Carry distance /90170.03m78%
centre-backball-playing centre-backbuild-upline-breaking
477
minutes
6 apps
246
passes
87% completed
87%
pass completion
246 passes
26
progressive passes
4.9/90
21
line-breaking passes
4.0/90
73
defensive actions
13.8/90
5
tackles + interceptions
75% tackle win
29
clearances
5.5/90
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 (49% of his 246 passes)
87% completion · 246× in 5/5 matches
↓
CARRY OUT
step into midfield to commit a presser
3 carries · 6× in 2/5 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
4.9 prog/90 · 21× in 5/5 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 4× in 4/5 matches
↓
PROGRESS
entries into the final third
2.6/90 · 14× in 5/5 matches
Signature: receive in the first line → break the midfield line vertically → switch or progress. Press him early and shut the vertical lane to force the safe sideways ball.
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 →
49
passes / match
13.8
def actions / 90
34–80
pass range (matches)
29
clearances
Pass range = his fewest and most passes in any single match this season (34 at the low end, 80 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.

07

How dangerous are his carries?

Real ball-carries

84 tracked carries (15.8/90, 20 progressive, 793m 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.

1%5%15%13%8%1%15%17%7%13%2%1%
progressivelateral/short% of his 84 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 30m
By zone — where the carry started → where it ended
6Outside → Inside
60Inside → Inside
10Outside → Outside
8Inside → Outside
First (34)Second (19)Third (18)Fourth (13)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).

4
tackle duels
3
won
1
beaten · 25%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 75%
OUTSIDE 25%
Tackle-duel location — 3 inside · 1 outside
Right Wing
0 · 0%
Right Half-Space
2 · 50%
Central
1 · 25%
Left Half-Space
0 · 0%
Left Wing
1 · 25%
Vision AI beaten in 1 of 4 tackle duels (25% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 3 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?

17%
vertical passes
25×
1%
switches
2×
42%
carries
62×
40%
short circulation
60×
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 →RWRHSCLHSLWRW1100%1RHS250%150%1C575%319%1158%339%59%5LHS1137%839%4412%1442%47LW402%112%542%1742%17FROM
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 → the left half-space in the middle third — 4 progressive passes (22% of his progression) at 0.057 xT each. He keeps it in the same lane.

His progression is inward: 39% of progressive passes move the ball toward the middle versus 22% going wider — he cuts in rather than holding width.

Only 5% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

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
1%0%1%9%9%12%7%1%0%9%17%13%16%5%
completedincomplete246 passes · any zone → any zone · own goal left, attacking →
246
passes
87%
completed
33
lost
Vision AIIn line with his 87% season completion rate.
04

How does he progress play?

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

26
progressive · 4.9/90
14
final-third entries · 2.6/90
0
box entries · 0.00/90
17
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?

1 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:
100%
chance creation (1)assist (0)% of the selected group's key passes originating in each zone
09

Where does he become vulnerable?

34 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.

5
attacking third (cheap)
14
middle third
15
own third (dangerous)
Vision AI 15% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 3.06 danger-index/90 · 0.477 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
08

What is his passing profile?

246
passes attempted
47%
mostly forward
58%
mostly medium
Direction
Forward
115 · 47%
Sideways
80 · 33%
Backward
51 · 21%
Length (completed)
Short (<15m)
81 · 38%
Medium
124 · 58%
Long (>30m)
8 · 4%
10

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.

0.380.280.240.160.160.14
own goal left, attacking →
Highest-value routes (xT)
0.38
Left Half-Space Mid third → Left Half-Space Mid third
4 passes
0.28
Left Half-Space Mid third → Left Wing Mid third
5 passes
0.24
Left Half-Space Def third → Left Wing Mid third
4 passes
0.16
Left Half-Space Mid third → Central Att third
1 passes
0.16
Left Half-Space Def third → Left Half-Space Mid third
2 passes
0.14
Left Wing Def third → Left Half-Space Mid third
1 passes
05

Where Does He Receive?

The zones where Tyrone Mings 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
27%
Primary
Left Half-Space, Middle third
19%
Secondary
Left Half-Space, Defensive third
15%
Third
Central, Defensive third
These are the zones where he collected the ball most.
06

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Tyrone Mings 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:
224133401323213017342112
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.

1%0%1%9%9%12%7%1%0%9%17%13%16%5%
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.

1Key pass
1Cross
2Cutback
26Progressive
21Long ball
4Switch
By zone — where the pass started → where it landed
23Outside → Inside
117Inside → Inside
18Outside → Outside
55Inside → Outside
By direction
115Forward
51Backward
80Sideways
own goal left, attacking →
03

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 plays straight through the left hs in the middle third — 4 passes worth 0.38 xT.
Where do his chances come from?
Of 1 key passes, his busiest route is a delivery where he plays straight through the left wing in the middle 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 left wing in the defensive third: 41% of his 22 touches there are lost (9 times).
—0 touches · too few—1 touch · too few8%3/36 lost6%3/47 lost41%9/22 lost—1 touch · too few—2 touches · too few19%5/27 lost3%2/67 lost21%5/24 lost—1 touch · too few—2 touches · too few—2 touches · too few—6 touches · too few0%0/8 lostRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

73 defensive actions across the season (13.8/90). 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 →
4
tackles · 75% won
1
interceptions · 0.2/90
13
recoveries · 2.5/90
29
clearances · 5.5/90
1
blocks
26
avg action height
7
won high (att 3rd)
12
middle third
54
own third
Vision AI A deep-defending defender. He wins the ball mainly by clearing and blocking — a reactive, protect-the-box profile. 18 proactive ball-wins (3.4/90), tackle success 75%. He defends deep, protecting his box — a last-line stopper.
14

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Tyrone Mings 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 ~2-2 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 2.7, 2m)
77%
5.3
4.6
0.56
Mid press (PPDA 3.3, 2m)
88%
4.6
4.6
0.67
Low press (PPDA 6.5, 2m)
89%
4.9
2.7
1.06
Team

Team context

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

15

Impact on the Team

Aston Villa's output per match with Tyrone Mings (6 matches) versus without him (2 matches). Insufficient evidence — the without-sample is only 2 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 (6)
WITHOUT (2)
Δ
goals against /match
1.67
1.00
+0.67
points /match
1.33
1.50
-0.17
goals for /match
1.17
1.00
+0.17
xG for /match
1.22
0.50
+0.72
16

His Share of the Team

Of everything Aston Villa produced this season, the categories where the biggest share ran through Tyrone Mings specifically — his share of the team total, not a per-90 rate.

category
share
him / team
clearances
11%
113 / 1034
threat added by passing (xT)
5%
21.4 / 459.0
final-third entries
4%
76 / 1901
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 513 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-back68%Stopper centre-back15%
Why Ball-playing centre-back 68%: a weighted blend of build-up 69 (weight 30%) + retention 68 (weight 30%) + progression 56 (weight 25%) + press resistance 53 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
carrying
Average
build-up, retention, box threat, progression, transition, press resistance, crossing, final-third threat, through-balls, passing directness, dribbling
Weak
receiving zones, creativity, territory (wide vs central), line-breaking, ball-winning, defensive aggression
Unknown
aerial ability, marking, off-ball running — not in event data
Carrying
75
Build-up
69
Retention
68
Box threat
60
Progression
56
Transition ~proxy
53
Press resistance ~proxy
53
Crossing
51
Final-third threat
49
Through-balls ~proxy
49
Passing directness
46
Dribbling
45
Receiving zones
37
Creativity
34
Territory (wide vs central)
25
Line-breaking
24
Ball-winning
12
Defensive aggression
9
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: 196 cm / 77 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 Premier League, Bundesliga, La Liga, Ligue 1 and Serie A, 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.

Montassar Talbi Lorient · Ligue 1 · 190 cm / 80 kg
81%
Driven by: ball-winning (33%), defensive aggression (27%), carrying (12%). Different mechanism — Mings more via dribbling; Talbi more via defensive aggression.
Martin Valjent Mallorca · La Liga 25/26 · 187 cm / 70 kg
77%
Driven by: defensive aggression (42%), ball-winning (31%), carrying (10%). Different mechanism — Mings more via box threat; Valjent more via territory (wide vs central), line-breaking.
Felix Bacher Lyon · Ligue 1 · 190 cm / 82 kg
76%
Driven by: ball-winning (29%), defensive aggression (28%), carrying (13%). Different mechanism — Bacher more via territory (wide vs central), through-balls.
Victor Lindelöf Aston Villa · 187 cm / 82 kg
76%
Driven by: defensive aggression (29%), ball-winning (29%), build-up (10%). Different mechanism — Mings more via dribbling, box threat.
Koni De Winter AC Milan · Serie A · 191 cm / 78 kg
70%
Driven by: defensive aggression (27%), carrying (15%), build-up (13%). Different mechanism — Mings more via through-balls, box threat; Winter more via ball-winning, territory (wide vs central).
Matteo Gabbia AC Milan · Serie A · 185 cm / 78 kg
68%
Driven by: defensive aggression (28%), ball-winning (27%), territory (wide vs central) (9%). Different mechanism — Mings more via through-balls, final-third threat; Gabbia more via passing directness.
20

Summary

Tyrone Mings is a ball-playing centre-back: 87% pass completion, 21 line-breaking passes and 4.9 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 6 matches (477 minutes) — an early read, treat with caution until more minutes are logged. 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.

Vision AI · building report