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Player reportSerie A 2026

Eivind Helland

Bologna
Ball-playing centre-back CB
7.3 progressive passes/90 · 0.3 line-breaking/90
centre-backstopper centre-backbuild-upline-breaking
322
minutes
5 apps
222
passes
94% completed
94%
pass completion
222 passes
26
progressive passes
7.3/90
13
line-breaking passes
3.6/90
59
defensive actions
16.5/90
14
tackles + interceptions
56% tackle win
22
clearances
6.1/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Eivind Helland has played 5 matches (322 min) so far, so sections that need a bigger sample to say anything reliable are not shown here — they are missing on purpose, not broken. See all seasons combined →
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 defensive third (61% of his 222 passes)
94% completion · 222× in 5/5 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
7.3 prog/90 · 13× in 5/5 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 4× in 2/5 matches
↓
PROGRESS
entries into the final third
1.1/90 · 4× in 2/5 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 — 0× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
15

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 →
44
passes / match
16.5
def actions / 90
14–92
pass range (matches)
22
clearances
Pass range = his fewest and most passes in any single match this season (14 at the low end, 92 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

56 tracked carries (15.7/90, 7 progressive, 469m 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.

12%27%11%4%21%21%2%2%
progressivelateral/short% of his 56 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 27m
By zone — where the carry started → where it ended
5Outside → Inside
41Inside → Inside
3Outside → Outside
7Inside → Outside
First (17)Second (14)Third (14)Fourth (11)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).

9
tackle duels
5
won
4
beaten · 44%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 67%
OUTSIDE 33%
Tackle-duel location — 6 inside · 3 outside
Right Wing
2 · 22%
Right Half-Space
0 · 0%
Central
3 · 33%
Left Half-Space
3 · 33%
Left Wing
1 · 11%
Vision AI beaten in 4 of 9 tackle duels (44% loss rate) — a real defensive leak worth flagging.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 0 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?

12%
vertical passes
24×
2%
switches
3×
28%
carries
55×
58%
short circulation
114×
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 →RWRHSCLHSLWRW3450%1724%826%9RHS9133%3018%1637%3411%101%1C7211%817%1238%2731%224%3LHS128%142%542%58%1LW0FROM
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 defensive third → the right wing in the middle third — 1 progressive passes (11% of his progression) at 0.053 xT each. He keeps it in the same lane.

His progression is inward: 33% of progressive passes move the ball toward the middle versus 11% going wider — he cuts in rather than holding width.

Only 6% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 1 line-breaking passes and 4 final-third entries, 2.7 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
7%26%12%1%0%2%25%19%4%1%1%
completedincomplete222 passes · any zone → any zone · own goal left, attacking →
222
passes
94%
completed
13
lost
Vision AIIn line with his 94% 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 · 7.3/90
4
final-third entries · 1.1/90
0
box entries · 0.00/90
18
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.
11

How does he create chances?

0 key passes (0.00/90), 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:
chance creation (0)assist (0)% of the selected group's key passes originating in each zone
08

What is his passing profile?

222
passes attempted
50%
mostly forward
52%
mostly medium
Direction
Forward
112 · 50%
Sideways
82 · 37%
Backward
28 · 13%
Length (completed)
Short (<15m)
92 · 44%
Medium
108 · 52%
Long (>30m)
9 · 4%
09

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.

0.260.220.200.190.160.12
own goal left, attacking →
Highest-value routes (xT)
0.26
Right Wing Def third → Right Half-Space Att third
1 passes
0.22
Right Wing Mid third → Right Wing Mid third
3 passes
0.20
Right Half-Space Def third → Right Wing Mid third
3 passes
0.19
Right Wing Def third → Right Half-Space Mid third
2 passes
0.16
Right Wing Def third → Right Wing Mid third
2 passes
0.12
Right Half-Space Def third → Right Half-Space Mid third
2 passes
05

Where Does He Receive?

The zones where Eivind Helland 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
29%
Primary
Right Half-Space, Defensive third
20%
Secondary
Central, Defensive third
14%
Third
Central, Middle 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 Eivind Helland 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:
23456439216582731
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.

7%26%12%1%0%2%25%19%4%1%1%
own goal left, attacking →
10

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.

26Progressive
13Long ball
4Switch
By zone — where the pass started → where it landed
17Outside → Inside
132Inside → Inside
17Outside → Outside
43Inside → Outside
By direction
112Forward
28Backward
82Sideways
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 inside from the right wing toward the right hs, advancing it forward in the defensive third — 1 passes worth 0.26 xT.
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 wing in the middle third: 20% of his 15 touches there are lost (3 times).
8%2/24 lost3%2/65 lost5%2/44 lost—2 touches · too few—0 touches · too few20%3/15 lost7%2/29 lost6%2/32 lost0%0/10 lost—0 touches · too few—0 touches · too few—1 touch · too few—0 touches · too few—0 touches · too few—0 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

12

How & where does he defend?

59 defensive actions across the season (16.5/90). 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 →
9
tackles · 56% won
5
interceptions · 1.4/90
8
recoveries · 2.2/90
22
clearances · 6.1/90
1
blocks
27
avg action height
2
won high (att 3rd)
14
middle third
43
own third
Vision AI A deep-defending defender. He wins the ball mainly by clearing and blocking — a reactive, protect-the-box profile. 22 proactive ball-wins (6.1/90), tackle success 56%. He defends deep, protecting his box — a last-line stopper.
Team

Team context

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

13

Impact on the Team

Bologna's output per match with Eivind Helland (5 matches) versus without him (3 matches). Insufficient evidence — the without-sample is only 3 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 (5)
WITHOUT (3)
Δ
goals against /match
1.40
1.00
+0.40
points /match
0.80
1.33
-0.53
goals for /match
0.80
1.33
-0.53
xG for /match
1.40
1.19
+0.20
14

His Share of the Team

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

category
share
him / team
clearances
4%
42 / 1082
interceptions
3%
11 / 364
tackles
2%
16 / 641
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

16

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.

Stopper centre-back72%Ball-playing centre-back67%
Why Stopper centre-back 72%: a weighted blend of ball-winning 72 (weight 40%) + defensive aggression 63 (weight 35%) + retention 56 (weight 15%) + transition 66 (weight 10%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
build-up, ball-winning, carrying
Average
transition, progression, defensive aggression, retention, line-breaking, creativity, receiving zones
Weak
box threat, territory (wide vs central), final-third threat, passing directness, press resistance, through-balls, crossing, dribbling
Unknown
aerial ability, marking, off-ball running — not in event data
Build-up
84
Ball-winning
72
Carrying
70
Transition ~proxy
66
Progression
64
Defensive aggression
63
Retention
56
Line-breaking
54
Creativity
54
Receiving zones
45
Box threat
30
Territory (wide vs central)
30
Final-third threat
29
Passing directness
27
Press resistance ~proxy
27
Through-balls ~proxy
11
Crossing
9
Dribbling
8
17

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) 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.

Juan Jesus Venezia · 185 cm / 83 kg
80%
Driven by: dribbling (21%), build-up (17%), ball-winning (12%). Different mechanism — Helland more via creativity; Jesus more via crossing, passing directness.
Maximilian Rohr Elversberg · Bundesliga · 193 cm / 85 kg
77%
Driven by: dribbling (22%), build-up (19%), through-balls (15%). Different mechanism — Helland more via line-breaking, progression; Rohr more via crossing.
Tosin Adarabioyo Tottenham · Premier League · 197 cm / 80 kg
77%
Driven by: build-up (20%), dribbling (17%), crossing (17%). Different mechanism — Helland more via territory (wide vs central), line-breaking; Adarabioyo more via passing directness, through-balls.
El Chadaille Bitshiabu RBL · Bundesliga 25/26 · 196 cm / 95 kg
74%
Driven by: build-up (19%), dribbling (17%), crossing (16%). Different mechanism — Helland more via ball-winning, defensive aggression; Bitshiabu more via final-third threat, progression.
Alessandro Buongiorno Napoli 25/26 · 190 cm / 86 kg
68%
Driven by: dribbling (28%), build-up (16%), press resistance (10%). Different mechanism — Helland more via build-up; Buongiorno more via crossing, final-third threat.
Alexsandro Lille · Ligue 1 · 191 cm / 82 kg
66%
Driven by: dribbling (22%), build-up (22%), crossing (12%). Different mechanism — Helland more via line-breaking, ball-winning; Alexsandro more via passing directness.
18

Summary

Eivind Helland is a stopper centre-back / ball-playing centre-back: 94% pass completion, 13 line-breaking passes and 7.3 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 5 matches (322 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a stopper centre-back / ball-playing 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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