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Player reportPremier League 2026
IPS

Dara O'Shea

Ipswich
Ball-playing centre-back CB
5.0 progressive passes/90 · 1.2 line-breaking/90
Capability Analysis
Aerial & Box Defending27%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 /905.3454%
Ball-Winning74%vs 50 centre-backs
"How actively does he win the ball back?"
Interceptions /901.3990%
Ball recoveries /903.7176%
Tackles /901.6274%
Duels won /902.5556%
Breaking Pressure
only 31 pressured-passing actions across 1 high-press match -- not enough sample (needs 5+ matches and 12+ actions)
Progression60%vs 50 centre-backs
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /904.2980%
Line-breaking passes /901.1682%
Threat added by passing /901.15xT70%
Pass accuracy77.58%8%
Ball-Carrying11%vs 50 centre-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /902.910%
Carry distance /9068.23m12%
centre-backstopper centre-backbuild-upline-breaking
776
minutes
8 apps
397
passes
78% completed
78%
pass completion
397 passes
43
progressive passes
5.0/90
65
line-breaking passes
7.5/90
159
defensive actions
18.4/90
26
tackles + interceptions
29% tackle win
46
clearances
5.3/90
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 (58% of his 397 passes)
78% completion · 397× in 8/8 matches
↓
CARRY OUT
step into midfield to commit a presser
4 carries · 8× in 4/8 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
5.0 prog/90 · 65× in 8/8 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 9× in 7/8 matches
↓
PROGRESS
entries into the final third
3.5/90 · 30× in 8/8 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.
18

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 →
50
passes / match
18.4
def actions / 90
34–64
pass range (matches)
46
clearances
Pass range = his fewest and most passes in any single match this season (34 at the low end, 64 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.

09

How dangerous are his carries?

Real ball-carries

58 tracked carries (6.7/90, 17 progressive, 588m 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.

2%10%7%3%21%16%7%2%3%9%12%9%
progressivelateral/short% of his 58 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 34m
By zone — where the carry started → where it ended
8Outside → Inside
41Inside → Inside
9Outside → Outside
First (24)Second (22)Third (10)Fourth (2)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).

14
tackle duels
4
won
10
beaten · 71%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 57%
OUTSIDE 43%
Tackle-duel location — 8 inside · 6 outside
Right Wing
5 · 36%
Right Half-Space
4 · 29%
Central
3 · 21%
Left Half-Space
1 · 7%
Left Wing
1 · 7%
Vision AI beaten in 10 of 14 tackle duels (71% loss rate) — a real defensive leak worth flagging.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 4 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.

03

How does he build & move the ball?

How does he escape the first line?

17%
vertical passes
33×
3%
switches
5×
24%
carries
46×
56%
short circulation
107×
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 →RWRHSCLHSLWRW12063%7626%319%111%11%1RHS3534%1229%1034%123%1C6116%1031%1943%2610%6LHS731%118%1332%2314%1036%26LW1937%763%12FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right wing in the middle third → the right half-space in the middle third — 6 progressive passes (16% of his progression) at 0.028 xT each. He moves it inside.

His progression is inward: 51% of progressive passes move the ball toward the middle versus 8% 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.

Quality behind the volume: 10 line-breaking passes and 30 final-third entries, 7.7 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
2%12%13%15%6%3%2%6%9%6%1%3%7%8%6%1%
completedincomplete397 passes · any zone → any zone · own goal left, attacking →
397
passes
78%
completed
89
lost
Vision AIIn line with his 78% season completion rate.
04

How does he progress play?

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

43
progressive · 5.0/90
30
final-third entries · 3.5/90
6
box entries · 0.70/90
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.
13

How does he create chances?

4 key passes (0.46/90), 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:
25%25%50%
chance creation (4)assist (0)% of the selected group's key passes originating in each zone
05

Where does he become vulnerable?

91 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.

11
attacking third (cheap)
51
middle third
29
own third (dangerous)
Vision AI 12% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 4.70 danger-index/90 · 0.445 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
06

What is his passing profile?

397
passes attempted
54%
mostly forward
50%
mostly short
Direction
Forward
215 · 54%
Sideways
121 · 30%
Backward
61 · 15%
Length (completed)
Short (<15m)
155 · 50%
Medium
133 · 43%
Long (>30m)
20 · 6%
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.

0.830.420.410.360.340.34
own goal left, attacking →
Highest-value routes (xT)
0.83
Right Wing Mid third → Right Wing Att third
5 passes · 1 to a shot
0.42
Central Def third → Left Half-Space Att third
1 passes
0.41
Left Wing Mid third → Left Half-Space Att third
1 passes
0.36
Right Wing Mid third → Right Wing Mid third
5 passes
0.34
Right Wing Att third → Left Half-Space Att third
1 passes
0.34
Right Wing Def third → Right Wing Mid third
6 passes
07

Where Does He Receive?

The zones where Dara O'Shea 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
23%
Primary
Right Wing, Middle third
13%
Secondary
Left Half-Space, Middle third
12%
Third
Central, Middle third
These are the zones where he collected the ball most.
08

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Dara O'Shea 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:
1027332549263525495053592410
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.

2%12%13%15%6%3%2%6%9%6%1%3%7%8%6%1%
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.

4Key pass
4Cross
4Cutback
43Progressive
65Long ball
9Switch
By zone — where the pass started → where it landed
50Outside → Inside
124Inside → Inside
89Outside → Outside
45Inside → Outside
By direction
215Forward
61Backward
121Sideways
own goal left, attacking →
02

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 right wing, advancing it forward in the middle third — 5 passes worth 0.83 xT.
Where do his chances come from?
Of 4 key passes, his busiest route is a delivery where he plays inside from the right wing toward the central in the final third — 2 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 right half-space in the middle third: 30% of his 23 touches there are lost (7 times).
25%10/40 lost17%3/18 lost23%6/26 lost17%6/36 lost—7 touches · too few25%23/92 lost30%7/23 lost13%6/47 lost25%13/53 lost7%1/14 lost25%7/28 lost—6 touches · too few—2 touches · too few—3 touches · too few—2 touches · too fewRWRHSCLHSLWDEFMIDATT
12

Crosses & Cutbacks

4 crosses (0.46/90, 4 completed) and 4 cutbacks (0.46/90, 2 completed) — two separate wide-delivery patterns into the box, each its own map with a completed/failed filter. Neither is a tagged event, so both are inferred from pass geometry — the intended end point of a failed attempt is still real data (an interception doesn’t erase where the ball was aimed): a cross is a pass aimed into the box starting from a wide channel; a cutback starts almost on the byline but is squared back rather than driven forward, aimed centrally around the box. The completed-cross count was checked against this platform’s own real match-level cross totals and lands within about 1 cross of the true count.

Crosses — close-up on the final third
Cutbacks — close-up on the final third
completedfailed (dashed)close-up on the box — attacking ↑ toward goal
Out of possession

Out of possession

Where and how he defends and presses.

14

How & where does he defend?

159 defensive actions across the season (18.4/90). 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 →
14
tackles · 29% won
12
interceptions · 1.4/90
32
recoveries · 3.7/90
46
clearances · 5.3/90
2
blocks
32
avg action height
12
won high (att 3rd)
56
middle third
91
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 58 proactive ball-wins (6.7/90), tackle success 29%. He defends mostly around the middle third.
15

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Dara O'Shea 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 ~2-4 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 3.8, 2m)
71%
5.1
8.7
1.04
Mid press (PPDA 4.4, 2m)
75%
6.5
8.9
1.46
Low press (PPDA 5.4, 4m)
82%
4.2
6.3
1.04
Team

Team context

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

16

Impact on the Team

Insufficient sample: Dara O'Shea played nearly every Ipswich match in the loaded data, so there is no meaningful "without him" comparison yet. This section fills in as more matches (and the rest of the season) are scraped.

17

His Share of the Team

Of everything Ipswich produced this season, the categories where the biggest share ran through Dara O'Shea specifically — his share of the team total, not a per-90 rate.

category
share
him / team
clearances
10%
46 / 472
goals
8%
1 / 12
interceptions
6%
12 / 192
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

19

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.

Stopper centre-back77%Ball-playing centre-back27%
Why Stopper centre-back 77%: a weighted blend of ball-winning 78 (weight 40%) + defensive aggression 83 (weight 35%) + transition 55 (weight 10%) + retention 19 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
through-balls, crossing, passing directness
Strong
defensive aggression, line-breaking, ball-winning, territory (wide vs central), final-third threat
Average
progression, dribbling, transition
Weak
press resistance, box threat, receiving zones, creativity, carrying, build-up, retention
Unknown
aerial ability, marking, off-ball running — not in event data
Through-balls ~proxy
95
Crossing
94
Passing directness
87
Defensive aggression
83
Line-breaking
81
Ball-winning
78
Territory (wide vs central)
76
Final-third threat
71
Progression
62
Dribbling
56
Transition ~proxy
55
Press resistance ~proxy
38
Box threat
32
Receiving zones
25
Creativity
25
Carrying
23
Build-up
22
Retention
19
20

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: 189 cm / 75 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.

Adam Dzwigala St. Pauli · Bundesliga 25/26 · 185 cm / 72 kg
83%
Driven by: defensive aggression (17%), crossing (14%), ball-winning (13%). Different mechanism — O'Shea more via line-breaking, final-third threat; Dzwigala more via creativity, receiving zones.
James Hill Bournemouth · 184 cm / 73 kg
77%
Driven by: defensive aggression (15%), retention (13%), passing directness (11%). Different mechanism — O'Shea more via crossing, dribbling; Hill more via creativity.
Juan Iglesias Sevilla · La Liga · 187 cm / 77 kg
75%
Driven by: build-up (16%), defensive aggression (13%), through-balls (12%). Different mechanism — O'Shea more via ball-winning, crossing; Iglesias more via creativity, box threat.
Yerson Mosquera Wolves 25/26 · 188 cm / 84 kg
74%
Driven by: build-up (13%), retention (13%), ball-winning (12%). Different mechanism — O'Shea more via crossing, passing directness; Mosquera more via box threat.
Allan Nyom Getafe · La Liga 25/26 · 188 cm / 78 kg
73%
Driven by: crossing (15%), build-up (15%), through-balls (12%). Different mechanism — O'Shea more via ball-winning, dribbling; Nyom more via creativity, box threat.
Kyllian Antonio Lens · Ligue 1 · 183 cm / 75 kg
73%
Driven by: defensive aggression (18%), crossing (14%), ball-winning (13%). Different mechanism — O'Shea more via passing directness, crossing; Antonio more via retention, receiving zones.
21

Summary

Dara O'Shea is a stopper centre-back: 78% pass completion, 65 line-breaking passes and 5.0 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 8 matches (776 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a stopper centre-back — best used in a system built around that identity. His biggest room for growth is retention — even a modest improvement there would meaningfully lift his overall stopper 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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