Football statistics are the raw material every OddVora tip is built from. The BTTS tips page does not simply guess — it draws from the BTTS rates per team and per league displayed on this page. The correct score model does not fabricate probabilities — it calculates them from xG averages, clean sheet rates and H2H scoreline histories. Understanding how to read these statistics lets you independently validate every tip and — more importantly — identify your own betting opportunities beyond what OddVora publishes daily.
The Five Statistics That Drive the Most Betting Value
BTTS Rate (Both Teams to Score %)
The single most predictive team-level stat for BTTS markets. When a team has scored in 75%+ of recent fixtures, they are structurally likely to score in the next one. When both teams in a fixture have BTTS rates above 70%, the combined GG probability exceeds 49% — above the 50% implied by evens pricing. That is where the value lives.
xG (Expected Goals)
xG tells you what a team deserved to score, not what they actually scored. A team averaging 2.1 xG per home game but only 1.4 actual goals is underperforming — they are likely to regress toward their true attacking output in upcoming games. xG is the best single variable for predicting correct score distributions and Over/Under goal lines.
Home / Away Win Rate Split
Home advantage varies enormously by team. Liverpool win 79% of home games; Manchester United win just 25%. Knowing the specific home/away split — not the aggregate season record — is what separates useful analysis from noise. The home/away split is the primary input to 1X2 and sure win selection.
How to Read the League Comparison Table
Using xG vs Actual Goals to Find Value
One of the most powerful applications of xG data is identifying regression candidates — teams whose actual goals scored diverge significantly from their xG output. A team averaging 2.4 xG per game but only 1.6 actual goals has been underperforming their attack by 33%. Over any 30-game season, xG and actual goals converge — the underperforming team is due a positive correction. This means their next few home fixtures carry higher goal probability than the bookmaker accounts for, because bookmakers price from recent results, not xG trends.
Conversely, a team averaging 0.8 xG per game but scoring 1.6 actual goals has been overperforming. Their results are partly driven by finishing luck. The bookmaker will price future fixtures based on these inflated actual results — offering value on the opposing team. xG regression identification is one of OddVora's primary mechanisms for finding odds that diverge from true probability.
Football statistics are provided for informational purposes. Past performance does not guarantee future results. All tips are published for informational and entertainment purposes only. Never bet money you cannot afford to lose. Bet responsibly.