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Analysis · HNL vs Premier League · 2025/26

Closer to the line: how HNL and Premier League teams attack a defensive block

Tracking data from 318 matches shows Premier League attacks getting the ball nearer the last defensive line, against tighter blocks — while Croatian attacks run more and occupy the space between the lines no worse.

Every coach has heard it: the Premier League is quicker, tighter, more intense. But "quicker" is not a tactical instruction. What does an attack actually look like, in metres, when a Croatian or an English team has the ball and the opponent has dropped into a block?

We measured both leagues with the same rules: 2025/26 tracking data, every player and the ball five times a second, and only moments when the attacking team faced a set defence — at least eight opponents behind the ball, ball in front of their last line.

Sample. HNL: 71 of the 180 league matches, all ten clubs (10–20 matches each). Premier League: 247 matches — every league match of eight clubs (Liverpool, Manchester City, Aston Villa, Crystal Palace, Brentford, Brighton, Bournemouth, Nottingham Forest; one match without tracking). The other twelve clubs appear only against those eight. Neither sample is a whole league. 82,515 HNL and 326,074 Premier League moments (one per second) against a low or mid block.

Every moment is split by block depth (low: last line within 25 m of goal; mid: 25–40 m) and phase (set attack: ball held for 10 s or more; transition: under 10 s). Where a measure depends on the ball's position, we compare like with like: same block, phase, ball distance to the line and lane.

Four differences that held up

01 · BALL DISTANCE TO THE LAST LINE

Premier League attacks get the ball closer to the line

Against a low block in a set attack, the ball was on average 16.1 m in front of the last defensive line in the Premier League sample and 17.9 m in the HNL sample. The ball was within 15 m of the line in 48% of Premier League moments and 38% of HNL moments.

HNL · low block, set attack
17.9 m
ball in front of the last line · 38% of moments within 15 m
Premier League · same situation
16.1 m
ball in front of the last line · 48% within 15 m

The gap is about the same in transition (17.5 vs 16.1 m) and against a mid block (25.2 vs 23.6 m). It is not one or two clubs: none of the ten HNL clubs got the ball as close to the line as the median Premier League club in this sample.

02 · THE BLOCK ITSELF

The blocks are tighter — and that explains where attackers stand

The distance between the defending team's midfield line and its last line was 7.4 m against a low block in the Premier League sample and 8.7 m in the HNL sample. Every HNL club faced looser blocks than the median Premier League club.

That changes how to read the attackers. HNL players between the lines stood about 0.4 m further from the last line (4.2 vs 3.8 m). But measured as a share of the space they had, they stood in the same place: about halfway between the two lines in both leagues (51% vs 52% of the gap from the last line). HNL attacks also had slightly more players in the central corridor between the lines (1.6 vs 1.5 per moment). The Croatian attackers were not standing too deep; there was simply more room.

03 · TRANSITION

In transition, Premier League attacks are already on the last line

When a team won the ball and found a low block in front of it within 10 seconds, Premier League attacks had 1.31 players on or beyond the last line per moment, HNL attacks 1.13. HNL attacks kept more players between the lines (2.8 vs 2.6) and more players wide (0.78 vs 0.65). The pattern was consistent across clubs: no HNL club was above the Premier League median for players on the last line in transition.

Put simply: in the Premier League sample, the space behind the defence was occupied earlier, before the block had settled.

04 · MOVEMENT VS OCCUPATION

More running in behind did not mean better occupation

In set attacks against a low block, HNL teams made more forward runs near the last line (0.31 vs 0.26 runners per moment) and their outfield players moved slightly more on average. Premier League attacks had more players standing still between the lines: 0.73 vs 0.63 per moment.

The outcomes in the next ten seconds were mixed. The ball reached the penalty area equally often (28% vs 27%). HNL attacks got the ball behind the last line a little more often (17% vs 15%), but also lost possession more often (20% vs 15%).

Within each league, the link between how much a team moved in a match and how many players it had in the central corridor between the lines was weak (rank correlation 0.24 in the HNL, 0.06 in the Premier League), and so was the link with reaching the box (0.09 and 0.11). In this sample, more movement went with more players at the line — not with clearly better occupation of the space in front of it, and not with clearly better outcomes.

Movement = average speed of outfield players over the previous second, processed identically in both leagues. It describes one game situation and says nothing about physical capacity.

What did not differ

Box entries were about equal in both samples, in set attacks and in transition, and so was the number of players wide in set attacks. The differences are in how teams get there, not how often.

Three examples

Each replay is a real sequence: recorded positions of all players and the ball. Examples were picked by a fixed rule before watching — same block and phase in both leagues, ball 10–20 m in front of the line, the moment closest to that league's typical values. Outcomes played no part, and one example proves nothing on its own.

  1. Space between the lines (low block, set attack). HNL: Slaven Koprivnica – Lokomotiva Zagreb, 23 Aug 2025, second half, 88:42. Premier League: Bournemouth – Fulham, 3 Oct 2025, first half, 32:44.
  2. Transition into a low block. HNL: Rijeka – Varaždin, 14 Feb 2026, first half, 34:05. Premier League: Aston Villa – Nottingham Forest, 3 Jan 2026, second half, 50:48.
  3. Runners vs occupiers (low block, set attack). HNL: Rijeka – Dinamo Zagreb, 8 Feb 2026, first half, 20:29. Premier League: Manchester United – Liverpool, 3 May 2026, second half, 92:35.

What a club can check on its own team

None of this needs a model. With your own tracking data you can measure:

  1. Ball distance to the last line against a low block — nearer 16 m or 18 m?
  2. The block you face: the gap between the opponent's midfield and last line.
  3. Position between the lines as a share of that gap, not in metres.
  4. Players on the last line in the first 10 seconds after winning the ball.
  5. Runners vs stationary occupiers — and whether matches with more running also had more central occupation and better outcomes.

Method and limits

  • Data. Tracking data, 2025/26: all players and the ball at 5 Hz, with the tracking's team-in-possession flag. No third-party model values are used.
  • Definitions. Last line: second-deepest defending player, goalkeeper included. Midfield line: median position of the defending outfield players ranked 5th–8th by depth. Between the lines: an attacking outfield player between those two lines (and more than 1 m in front of the last line). Central corridor: the middle third of the pitch width. Runner: within 8 m of the last line, moving towards goal at 2.5 m/s or more over the previous second. Stationary: under 1 m/s.
  • Outcomes are counted in the next 10 seconds of the same possession: ball in the penalty area, ball behind the last line, possession lost.
  • Comparisons are made within block depth and phase, and where relevant within ball distance and lane. Uncertainty comes from resampling whole matches; every difference reported has a 95% interval excluding zero.
  • Limits. Neither league is covered in full; the Premier League sample is built around eight clubs. Teams, goalkeepers and attacking direction are derived from the tracking; frames with tracking problems are excluded. Differences are associations in this sample, not causes. In the replays, positions are recorded and body movement is illustrative.

See your own attacks this way

SolveXI turns your tracking data into the same measures — ball distance to the line, occupation between the lines, runners vs occupiers — and lets your staff replay every situation in 3D.

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