xG vs xGOT: Expected Goals vs Expected Goals on Target

xG uses information available at the moment of the shot: location, angle, body part, assist type, and sometimes defender positions. It asks how often similar chances are scored, regardless of how well the shot was struck. Every shot, on or off target, has an xG value.

xGOT, sometimes called post-shot xG, is calculated only for shots on target. It adds information about where the shot ended up: a shot into the top corner is much harder to save than one at the goalkeeper's chest. xGOT can be higher or lower than the original xG for the same shot.

If a player's xGOT is consistently higher than their xG, they tend to place shots better than an average player would from those chances, a sign of finishing skill. If xGOT is lower, they may hit the target but too close to the goalkeeper. Large samples are needed, because shot placement varies a lot from shot to shot.

xGOT is the better baseline for goalkeepers because it reflects how saveable shots actually were. Goals prevented, xGOT faced minus goals conceded, estimates how many goals a goalkeeper saved compared with an average keeper. Using xG instead would blame or credit keepers for shooters' accuracy.

Use xG to judge how well teams create and prevent chances, which is the most stable indicator of team quality. Use xGOT to evaluate finishing and goalkeeping. For forecasting future results, team xG is usually more predictive, because shot placement and goalkeeping performance fluctuate more.

xGOT depends on accurate data about shot placement, which some providers capture better than others. Deflections complicate both metrics. Both are model outputs that differ between providers, so compare within one source.

A striker takes a shot with an xG of 0.15 from the edge of the box and places it in the top corner. The xGOT might be much higher, reflecting the difficulty of saving it. If the keeper saves it anyway, the keeper gets credit for preventing a likely goal.

Many shots are needed before xGOT minus xG becomes a reliable signal of finishing ability, because placement varies so much. Over a season, a striker's xGOT surplus may still be mostly noise. Over several seasons, consistent overperformance is more likely to reflect real skill, though even elite finishers usually beat xG by smaller margins than short streaks suggest.

Models that forecast match outcomes typically use team xG for and against as core inputs, because they are stable. Goalkeeper performance against xGOT can be added as an adjustment, particularly when a starting keeper changes. Market prices often already reflect these factors, so test any adjustment against closing odds.

Use xG to judge chances and teams, and xGOT to judge shots and goalkeepers, ideally over many matches.

This page describes what each metric measures and is not betting advice.