If you've ever read a football statistics report and felt lost in alphabet soup (xG, xGOT, NPxG, PPDA, PSxG, xGD90, EPV...), this glossary is for you.
Plenty of bettors lose money because they don't understand the metric they're betting on. xG ≠ xGOT. NPxG ≠ xG. Form ≠ xPTS. Confusing them costs money.
This is the most complete football betting statistics glossary on the internet - 80+ metrics, plain-English definitions, formulas, betting use-cases, and the psychological trap each one helps you avoid. Bookmark it.
Check the core stats (shots, corners, cards, fouls, saves) in StatPair →
How to use this glossary
- Each metric has a one-line definition, a formula or example, and the edge it gives you over a casual bettor.
- Sections go from beginner (Goals, Possession) to elite (PSxG, EPV, GAR).
- Wherever a deeper guide exists, you'll see "Read more →" linking to a dedicated article.
- Search this page (Ctrl/Cmd + F) for any acronym.
Section 1 - Core Goal & Shot Metrics
Goals (G)
Total goals scored or conceded. The most basic metric, often misleading because it doesn't account for chance quality.
Edge: None on its own. Pair with xG to find lucky/unlucky teams.
xG (Expected Goals)
Probability that a given shot results in a goal, between 0 and 1. A penalty = 0.76 xG, a long-range shot = 0.03 xG. Match xG = sum of all shot xG values.
Edge: over a season, a better predictor of future goals than actual goals scored. Read full xG guide →
xGA (Expected Goals Against)
xG conceded by a team or goalkeeper. Measures defensive chance quality allowed.
Edge: Identifies defenses that are lucky (xGA > goals conceded) or genuinely strong.
NPxG (Non-Penalty xG)
xG excluding penalties. Penalties skew xG (each is worth ~0.76) so NPxG isolates open-play creativity.
Edge: Use this when comparing strikers - penalty takers look better than they are.
xGOT (Expected Goals on Target)
xG considering only the part of the shot that's on target plus where it's placed in the goal frame. xG asks "how good was this chance?" - xGOT asks "how well was it executed?".
Edge: Spot finishing form. Striker with xGOT > xG = clinical. xGOT < xG = wasteful.
PSxG (Post-Shot xG)
Same as xGOT, used by goalkeepers. PSxG conceded vs goals conceded shows GK form.
Edge: GK preventing goals (PSxG conceded > goals conceded) = clean sheet props value.
xPTS (Expected Points)
Points a team would win if matches were decided by xG over thousands of simulations.
Edge: Find under-/over-performing teams in the league table for value bets.
Shots
Total attempts at goal. Volume metric.
Edge: Combine with shot location - 20 shots from outside the box ≠ 20 shots inside.
Shots on Target (SOT)
Shots that would go in if not stopped by the keeper.
Edge: Direct input for shots on target props.
Shot Conversion Rate
Goals ÷ Shots. Industry average: ~10%.
Edge: A conversion rate far above average over a small sample is usually unsustainable - expect it to regress.
Big Chances Created
A situation where a player should reasonably be expected to score (Opta's definition is judgement-based, not an xG cut-off).
Edge: Signals dangerous attacks. Teams that create lots of big chances tend to score plenty over a season.
Shot Location
Where on the pitch a shot is taken. Inside box vs outside box, central vs angle.
Edge: Teams that take many shots from poor locations can look "active" in the shot count without scoring much. Don't judge attacks on volume alone.
Shot Quality (Average xG per shot)
Total xG ÷ Total Shots. League average: ~0.10.
Edge: Above 0.13 = patient, smart attack. Below 0.08 = desperate, low-quality team.
Section 2 - Possession & Build-up Metrics
Possession %
Time on the ball divided by total active time.
Edge: Possession alone is meaningless (read why →). Pair with progressive metrics.
Progressive Passes
Passes that move the ball significantly towards the opponent's goal (one common definition uses at least 10 yards).
Edge: Best single proxy for attacking intent.
Progressive Carries
Same idea but with the ball at the player's feet.
Edge: Identify true playmakers - high progressive carries + key passes = playmaker bets.
Pass Completion %
Successful passes ÷ Attempted passes.
Edge: Useful only by zone. Final third pass % > 75% = elite ball circulation.
Final Third Entries
How often a team gets the ball into the opponent's final third.
Edge: Predicts shot volume better than possession.
Penalty Area Entries (Box Entries)
Times the ball enters the 18-yard box per match.
Edge: Direct input for over/under goals betting.
Touches in Opposition Box
Edge: Fantasy and player-prop gold. Strikers who regularly get touches in the box get more shooting chances. Touches & possession analysis →
xT (Expected Threat)
Probability that an action (pass or carry) leads to a goal in the next few seconds.
Edge: Used by elite analysts to find under-the-radar playmakers before bookmakers price them up.
Section 3 - Pressing & Defensive Metrics
PPDA (Passes Per Defensive Action)
Opponent passes allowed in their own 60% of pitch ÷ defensive actions a team makes there. Lower = harder press.
Edge: A low PPDA means an aggressive press; a high PPDA means passive defending. Compare against the league average.
Defensive Actions
Tackles + Interceptions + Blocks + Clearances + Pressures.
Edge: Direct stat for tackles & interceptions player props.
Tackles
Successful challenges resulting in possession.
Edge: Defensive midfielders 4+ tackles/game = consistent prop value.
Interceptions
Reading a pass and stopping it.
Edge: Centre-backs with 2+ interceptions/game = positional masters.
Blocks
Defender's body stops a shot or cross.
Edge: Underrated stat for low-scoring matches.
Clearances
Defensive boots clearing the ball under pressure.
Edge: High clearances = team under siege; correlates with BTTS no.
Aerial Duels Won
Headed challenges won.
Edge: Critical for set-piece markets and specific player goal props.
Recoveries
Loose-ball gains, often by midfielders.
Edge: Fantasy / midfielder props.
High Turnovers
Possessions won within 40m of opponent's goal.
Edge: Strong predictor of high-pressing teams scoring within 5 minutes of regain.
Section 4 - Set-piece & Discipline Metrics
Corners
Corners taken per match. League average: ~5 per team.
Edge: Total corners betting guide →
Set-piece xG
xG generated only from corners and free kicks.
Edge: Some teams score a much bigger share of their goals from set pieces than others - relevant for headed-goal and defender goalscorer markets.
Yellow Cards
Edge: Cards betting deep dive →
Red Cards
Edge: Rare events but completely flip in-play markets when they happen.
Booking Points
Yellow = 10 points, red = 25 points (varies by bookmaker).
Edge: Booking points strategy →
Fouls Committed / Won
Edge: Fouls are among the most repeatable player stats, and fewer bettors study them than goals. Fouls betting guide →
Offsides
Edge: Big-five matches averaged 3.1 offsides per match in 2025/26. Teams that play a high defensive line tend to catch opponents offside more often. Offsides betting →
Free Kicks Conceded
Edge: Predicts both card and set-piece markets.
Key Passes
Passes that lead directly to a shot (not necessarily a goal).
Edge: Best single playmaker stat. Dribbles & key passes props →
Assists
Edge: Assists are noisy short-term - use xA instead.
xA (Expected Assists)
xG of the shot a pass created. Probability that pass leads to a goal.
Edge: Generally a better guide to future assists than actual assists, which depend on teammates finishing.
Dribbles Completed
Successful 1v1 take-ons.
Edge: Wingers averaging 3+ successful dribbles = consistent shot-creating volume.
Touches
Total ball contacts. Volume metric.
Edge: Useful for midfielder props.
Carries
Player moving the ball with their feet.
Edge: See progressive carries.
Crosses Completed
Edge: Predicts headed goal markets and aerial-strong striker props.
Shot-Creating Actions (SCA)
Last two actions (pass, dribble, foul drawn) leading to a shot.
Edge: Underrated playmaker metric.
Goal-Creating Actions (GCA)
Same as SCA but only when a goal is scored.
Edge: Top-5 GCA leaders are usually top-5 in assists by season's end.
Pressures
Times a player closed down an opponent.
Edge: Identifies high-energy forwards - fantasy gold.
Take-Ons Attempted vs Won
Edge: Take-on % > 60% on 4+ attempts/game = elite dribbler.
Goalkeeper Saves
Edge: Save props correlate with team defensive frailty →.
Save Percentage
Saves ÷ Shots on Target Faced.
Edge: Save percentage swings a lot over small samples - use a season or more before judging a goalkeeper.
Clean Sheets
Edge: Compare clean sheet odds with the team's goals and shots conceded rather than its recent clean sheet run.
Section 6 - Advanced Modelling & Market Metrics
EV (Expected Value)
(Probability × Payout) − Stake. Positive EV = bet worth taking long-term.
Edge: The only metric that matters for profitability. Use our EV calculator →
True Probability
Your model's estimate of an outcome's likelihood, before bookmaker margin.
Edge: Compare to bookmaker implied probability to find value.
Implied Probability
1 ÷ Decimal Odds × 100%. Includes bookmaker margin.
Edge: Always compare implied probability across bookmakers - gaps reveal value.
Bookmaker Margin (Overround / Vig)
Sum of implied probabilities across all outcomes − 100%.
Edge: Lower margin = better odds and a better expected return. Margins vary a lot between bookmakers and markets, so compare.
CLV (Closing Line Value)
Difference between the odds you took and the closing odds.
Edge: The single best predictor of long-term profit. CLV strategy → · CLV calculator →
Kelly Stake
Fraction of bankroll to bet to maximise long-term growth. f = (bp − q) ÷ b.
Edge: Most bettors over-stake. Kelly mathematically prevents ruin. Kelly calculator →
ROI (Return on Investment)
Net profit ÷ Total stake × 100%.
Edge: 5% ROI over 1,000+ bets = professional level. Anyone above 10% is either elite or lucky.
Yield
Industry term for ROI in betting context.
Edge: Same metric, different name. Don't get confused on tipster sites.
Variance
Statistical deviation from expected results.
Edge: Even +EV bettors go through long downswings. Variance & Kelly guide →
Standard Deviation (σ)
Square root of variance.
Edge: Helps you understand how big your swings can be, and so how large a bankroll you need for your stake size.
Z-Score
How many standard deviations from expected. Z > 2 = unusual.
Edge: Detect statistical outliers (lucky/unlucky form streaks).
Poisson Distribution
Probability model for goal counts in football. Used to model over/under markets.
Edge: Foundation of every football betting model. Build one in Excel →
Dixon-Coles Adjustment
Refinement of Poisson that corrects under-counting of low-scoring draws (0-0, 1-1).
Edge: Useful for correct score and low-scoring markets, where basic Poisson misprices 0-0 and 1-1.
Monte Carlo Simulation
Running thousands of simulated matches to estimate outcome probabilities.
Edge: Standard approach in elite syndicates.
Elo Rating
Team strength rating updated after each match.
Edge: Better than league position for true form.
Power Rating
Custom team-strength rating combining xG, form, and rest days.
Edge: What pros build privately, usually in a spreadsheet or their own model.
Section 7 - Form, Context & Schedule Metrics
PPG (Points Per Game)
Edge: Use rolling 6/10-game window. 10-match rule explained →
xPPG (Expected Points Per Game)
Average expected points based on xG.
Edge: Diverges from PPG when teams over/under-perform xG → mean reversion bets.
Weighted recent results (5-10 games), with newer games counted more.
Edge: Avoid season-long averages alone - they bury current trends.
Rest Days
Days since last competitive match.
Edge: Short rest means heavy rotation. In StatPair's study of 7,164 team games, teams on 2-3 days' rest made 4+ changes in 64.6% of matches, vs 19.1% on 7-9 days' rest. Fixture congestion study →
Travel Distance / Time Zones
Edge: Long trips and midweek European away games add fatigue - factor them in alongside rest days.
Squad Rotation
Number of starting XI changes vs previous match.
Edge: 4+ changes = unsettled side; bet against in tight matches.
Injuries (Key Player Index)
Composite metric for team strength accounting for unavailable starters.
Edge: Injury and key player absence analysis →
Motivation Factor
Stakes (relegation, top-4, dead-rubber).
Edge: Match context & motivation →
Home Advantage
Average home boost. Across the big five European leagues in 2025/26, home teams scored 1.53 goals per match vs 1.23 for away teams (about 0.3 goals).
Edge: Smaller than many bettors assume, and it varies a lot between teams. Home/away stats analysis →
Head-to-Head (H2H)
Recent meetings between two sides.
Edge: Useful only when squads/managers are stable. H2H analysis →
Referee Index
Average cards / fouls / pens per match per referee.
Edge: Referee impact analysis →
Weather Impact
Rain, wind and heat can change how a match is played, mainly in extreme conditions.
Edge: Weather impact betting →
Section 8 - Live & In-play Metrics
In-play xG Rate
xG generated per minute live.
Edge: Top in-play strategy - back the team trailing but with higher xG rate.
Momentum Index
Composite of recent attacks, possession, shots in last 10 minutes.
Edge: Useful context for in-play betting, but in-play prices react quickly - don't assume the market is slow.
Game State
Score-dependent stats split: when leading, level, trailing.
Edge: Some teams flip from elite to terrible when chasing. Track game-state xG.
Pace of Play
Possessions per minute.
Edge: High-pace games (City vs Liverpool) blow through over/under lines fast.
Section 9 - Player Markets & Fantasy
Anytime Goalscorer
Edge: Goalscorer markets analysis →
First/Last Goalscorer
Edge: First-goalscorer is mostly luck; pros avoid it.
Player Shots Line
Edge: Player shots props →
Player Shots on Target Line
Edge: More predictable than total shots due to shot quality filter.
Cards Shown (Player)
Edge: Defensive midfielders averaging 2.5+ fouls/game = card prop value.
Player Tackles Line
Edge: Tackles props →
Saves (Goalkeeper)
Edge: Goalkeeper props →
Section 10 - Cutting-edge Metrics
EPV (Expected Possession Value)
Value of every on-ball action measured in expected goals.
Edge: Used in elite analyst rooms; rare in betting circles → still mispriced.
VAEP (Valuing Actions by Estimating Probabilities)
Reward each action by how much it changes the probability of scoring/conceding.
Edge: Best single metric for player ranking.
G+ (Goals Added)
A possession-value metric published by American Soccer Analysis.
Edge: Free advanced player ranking.
xG Difference per 90 (xGD90)
xG − xGA per 90 minutes.
Edge: Cleanest single team-strength metric. Try our xGD calculator →
Q: Which is the most important football betting metric?
A: xG, for most bettors. Over a season it's generally a better guide to future goals than actual goals scored, which makes it the foundation of most serious betting models.
Q: What's the difference between xG and xGOT?
A: xG measures chance quality (how good was the opportunity?). xGOT measures finishing quality (how well was the on-target shot placed?). xG > xGOT means a team created good chances but didn't execute. xG < xGOT means clinical finishing on weaker chances.
Q: Is PPDA reliable for betting?
A: PPDA is reliable for identifying tactical style, not for direct betting. Pair it with high-turnover xG to predict pressing teams that score quickly after winning the ball.
Q: How many games do I need for stats to be predictive?
A: For team metrics (xG, possession, PPDA), 8-10 games. For player metrics (key passes, shots), 12-15 starts. Below those thresholds you're betting on noise.
Q: Should I trust public xG sites or build my own model?
A: Public xG (Understat, FotMob) is good enough for retail bettors. Build your own only if you've already mastered using public xG profitably. Try building one in Excel →
Q: What metric do bookmakers fear the most?
A: Closing Line Value (CLV). If you consistently beat the closing line, you have an edge regardless of short-term results - and that's the only thing that gets accounts limited.
Bottom Line
Football statistics aren't magic, but they're the closest thing to it. The metrics in this glossary aren't theoretical - they're widely used by professional bettors and club analytics departments.
Next steps:
- Bookmark this glossary.
- Pick 3 metrics to learn deeply this month (recommend: xG, xPTS, CLV).
- Track them for 4 weeks before placing bets that use them.
- Open StatPair for player and team stats - shots, shots on target, corners, fouls, cards, offsides, tackles and saves with home/away and last-N filters. Use Understat or FotMob for xG.
P.S. Most bettors lose because they bet on the wrong stat. With this glossary, you no longer have that excuse.