Seven matches into the League Two season, several teams have already moved above or below early expectations. The table records those results, but it does not explain how they were achieved. We have examined the difference between actual and expected points before comparing goals scored and conceded with xG and xGA.
Open-play and set-piece figures show how chances are being created. Shot volume, efforts on target, attempts inside the box and big chances reveal whether results are supported by repeatable performances.
Barnet lead League Two with 15 points and remain unbeaten. Their attacking numbers support a strong season, although their scoring rate is running above expectation. Barnet have scored 17 goals from 13.04 xG and collected 15 points from 11.83 xPTS. They average 15.6 shots, 11.1 attempts inside the box and three big chances per game. Their results are slightly ahead of the data, but their attacking process remains strong.
Grimsby Town’s position looks more sustainable. Their 13 points closely match 12.90 xPTS. They lead the division with four big chances per game and allow only 0.66 open-play xG, 2.6 shots on target and 6.9 attempts inside the box. Grimsby’s performances support their place among the leading teams.
Walsall also have 13 points, but their four goals conceded came from 9.35 xGA. They lead League Two for set-piece xG at 0.82 per game, although they have scored 10 goals from 13.03 overall xG. Their attack has room to improve, but the current defensive record relies on opponents failing to convert chances.
Cheltenham Town and Swindon Town are significant overachievers.
Cheltenham have scored 14 goals from 9.35 xG and taken 12 points from 8.68 xPTS. They average only 10.1 shots and 5.7 attempts inside the box, leaving their results dependent on clinical finishing.
Swindon have 10 points from 6.17 xPTS despite averaging only 0.96 xG per game. They face 16.3 shots, 12.1 attempts inside the box and six shots on target per match. Their 1.36 open-play xGA is the worst figure in League Two. The table places Swindon 13th, but the underlying numbers rank them among the division’s weakest performers.
Chesterfield are the leading under-the-radar team. They have 11 points from 13.22 xPTS and have scored 10 goals from 14.50 xG. Their 1.54 open-play xG is the highest figure in the division. Chesterfield also average 16.4 shots, 11.1 attempts inside the box and 5.4 efforts on target. Their performances point towards more goals if their finishing improves.
Exeter City have scored four goals from 8.84 xG and collected six points from 10.03 xPTS. Their defensive return is stronger, with five conceded from 8.25 xGA. Poor finishing has hidden a mid-table performance level.
Port Vale have five points from 9.78 xPTS and only three goals from 7.59 xG. Their attack has struggled, but their defensive numbers offer encouragement. They own League Two’s best open-play defensive figure at 0.62 xGA per game and allow only 6.6 shots inside the box. Their results are weaker than their overall performances.
Crawley Town have four points from 8.17 xPTS and have scored six goals from 10.75 xG. Their attack has underperformed, but their defence remains vulnerable. Crawley allow 3.7 big chances per game and have the league’s worst set-piece xGA at 0.84. Improved finishing alone will not solve those defensive problems.
Several defensive records look difficult to sustain. Fleetwood Town have conceded seven goals from 12.81 xGA, Crewe Alexandra five from 10.50 xGA and Walsall four from 9.35 xGA. Crewe face 16.1 shots and five efforts on target per match. Their five goals conceded provide a better picture than their defensive performances.
Shrewsbury Town sit 18th, but their defensive process is among the division’s strongest. They allow 0.71 open-play xG, 0.25 set-piece xG and 6.1 shots inside the box per game. Their 11 goals conceded from 6.77 xGA have distorted their record. Shrewsbury’s results have been poor, but the underlying data does not describe one of League Two’s weakest defensive teams.
The Betting Desk is run by Neil Potter. Neil built and refined all of the site’s data models, helping it grow into a trusted source of analysis across the Premier League, EFL and major tournaments. His models track key metrics, long term trends and areas where market prices move away from underlying performance.
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