Not sure what a stat means or how to use it? This glossary covers every metric we track — what it is and why it matters for betting.
The total number of goals scored by a team in a match or across a season.
The foundation of over/under and correct-score markets. High-scoring teams suggest value in over bets.
A metric that assigns a probability to each shot based on factors like distance, angle, and assist type. An xG of 1.5 means the chances created were worth roughly 1.5 goals.
If a team consistently outperforms their xG, they may be clinical finishers — or due for regression. xG reveals underlying quality beyond raw scores.
A match outcome where both the home and away team score at least one goal.
BTTS percentages by league or team help you spot value in the "Both Teams to Score" market — one of the most popular football bets.
A bet on whether the total goals in a match will be over or under a set line (e.g., 2.5 goals).
League averages for Over 1.5, 2.5, and 3.5 give a baseline. Compare with individual team stats for an edge.
Total attempts at goal, including blocked, missed, and on-target shots.
High shot volumes signal attacking intent. Useful for shot-based markets and as a proxy for pressure.
Shots that would go in without a save — forces the goalkeeper to act.
Shots on target correlate more closely with goals than total shots. A key indicator for "shots on target" prop bets.
The percentage of total shots that are on target (shots on target / total shots).
High shot accuracy suggests clinical finishing. Low accuracy from a high-volume team could indicate regression towards more goals.
The share of time a team controls the ball during a match, expressed as a percentage.
Dominant possession teams control games but do not always win. Low-possession teams that still win suggest strong counter-attacking — useful for Asian handicap markets.
The total number of passes attempted by a team in a match.
Pass volume reflects game tempo. High pass counts often mean the team controls the game and reduces variance — useful for under-goals markets.
The percentage of passes that successfully reach a teammate.
Teams with high pass accuracy tend to be more consistent. A drop in accuracy can signal a change in formation or personnel.
Awarded when the defending team is the last to touch the ball before it crosses their goal line (outside the goal).
Corner markets are less efficiently priced than goals. Teams with high corner averages in attacking styles give an edge in over/under corner bets.
A caution issued by the referee for fouls, dissent, or time-wasting. Two yellows in one match equal a red card.
Card markets are popular in-play. High-card leagues and fiery derbies present opportunities in the booking points market.
A sending off — the player must leave the pitch and cannot be replaced. Issued for serious fouls or two yellow cards.
Red cards drastically change match dynamics. Historically, teams down to 10 men concede more — useful for live betting.
Infringements of the laws of the game. More fouls typically correlate with more cards.
Foul counts are a leading indicator for cards. High-foul teams in important matches tend to exceed booking lines.
A sequence of recent results, typically the last 5 matches, shown as W (win), D (draw), or L (loss).
Form is the most accessible predictor of short-term results. Hot teams are often over-backed, while teams ending losing streaks can offer value.
League standing points: 3 for a win, 1 for a draw, 0 for a loss.
Points-per-game is a fairer comparison than total points when teams have different games played.
Goals scored minus goals conceded. A positive GD indicates a net-positive attack–defence balance.
GD per match is a strong predictor of long-term results. Teams with high GD tend to maintain form over the season.
A match where a team concedes zero goals.
Clean sheet percentages help with under-goals and "team to keep a clean sheet" bets. Top defences with high CS% are reliable in these markets.