Tottenham vs Aston Villa Preview: What the xG Data Says

The season has not kicked off until 19 Sep. The verdict below runs on last season's ratings. Everything else fills in from gameweek 1, and each card says what it is waiting for.

Tottenham HotspurTottenham1.4Aston VillaVilla1.2

The channel one side attacks most, set against the position the other concedes most through.After gameweek 1

How often the model's pick has been right this season, and how well its stated confidence matched what happened.From 20 settled matches

Player	Score	Assist	xGI/90	Mins
O. Watkins · Aston Villa	32%	3%	0.53	80%
Richarlison · Tottenham Hotspur	13%	3%	0.43	40%
Mateus Fernandes · Tottenham Hotspur	10%	6%	0.17	92%
M. van de Ven · Tottenham Hotspur	9%	2%	0.13	92%
J. McGinn · Aston Villa	9%	5%	0.23	63%
M. Senesi · Tottenham Hotspur	8%	5%	0.14	98%

43 more players, sort by any column, split by opponent qualityExpand · PRO

Attacking zones, vulnerabilities and style

Each side's share of attacking actions down the left, centre and right, on a pitch map.After gameweek 1

A pitch-shaped map per side, shaded by how much each position concedes against them.After gameweek 1

Possession-based ↔ Direct

Player	Score	Assist	xGI/90	Mins
O. Watkins · Aston Villa	32%	3%	0.53	80%
Richarlison · Tottenham Hotspur	13%	3%	0.43	40%
Mateus Fernandes · Tottenham Hotspur	10%	6%	0.17	92%
M. van de Ven · Tottenham Hotspur	9%	2%	0.13	92%
J. McGinn · Aston Villa	9%	5%	0.23	63%
M. Senesi · Tottenham Hotspur	8%	5%	0.14	98%

43 more players, sort by any column, split by opponent qualityExpand · PRO

Model verdict

Biggest mismatch

Model accuracy

Most likely to score

Position vs Expected Position

Form & Head-to-head

What this match is worth to you

Attacking zones, vulnerabilities and style

Where they attack

Goal involvements conceded per position

Style ranks

What this match is worth to you

TottenhamTottenham
vs
Aston VillaVilla

Most likely to score