Betting Terminology
Learn the essential terms and concepts used in sports betting and how they apply to Lossbeater.
The probability of an outcome expressed as a number. Lower odds indicate a favorite, higher odds indicate an underdog.
Example
Odds of 1.50 mean you would win $1.50 for every $1 bet if correct.
A bet where our signal consensus probability is higher than the implied odds probability, giving you a positive edge. Detected by our Edge Detector for Match Winner and Over/Under markets.
Example
Signal consensus assigns 62% probability, but odds imply 50%. Edge = 12%. That's a value bet for Match Winner.
The difference between signal consensus probability and the implied odds probability. Positive edge means a statistical advantage over the bookmaker.
Example
Model says 60% chance, odds imply 50%. Edge = 10%. Larger edges indicate stronger value bet opportunities.
A tier system classifying each pick. Confirm: our signals agree with the market favorite. Contradict: our signals back the underdog against the market. Every tier's real, point-in-time record is public on the Performance page.
Example
A match where 5+ signals agree with the market favorite — this appears as a Confirm pick on the match card.
Filters on the matches page that let you narrow down by pick quality tier, Value Bet status, market type, or league. Use these to focus on the picks you care about.
Example
Filter by "Confirm + Value Bet" to see only matches where our signals agree with the favorite and we also flag a value gap vs the price — check the public record before following.
Time-based or count-based analysis periods used to calculate player and H2H statistics. Available windows: last5, last10, last20, last50, last100, last6Months, all_time.
Example
Player A has a 70% win rate in last5 matches but only 55% all_time — recent form is stronger than historical average.
The player most likely to win according to the odds. Usually has lower odds (closer to 1.00).
Example
A player with odds of 1.30 is the clear favorite.
The player less likely to win, usually at higher odds. A Contradict pick backs the underdog when our signals disagree with the market — these are high-variance by nature, so check the public record before following.
Example
A player with odds of 3.50 is the underdog. If our model gives them 40% (vs implied 28%), there's a 12% edge.
Historical record of matches between two specific players. Lossbeater provides H2H data across multiple temporal windows, including set-by-set win rates and scoreline distributions.
Example
Player A has won 8 out of 10 matches against Player B (80% win rate) in last10 H2H matches.
A mathematical formula to calculate optimal bet sizing based on your edge and bankroll. Our stake suggestions (0.25U–1.0U) use fractional Kelly math to balance growth and risk.
Example
If you have a 5% edge and $1000 bankroll, Kelly suggests betting ~5% of your bankroll. Fractional Kelly reduces this for safety.
The total amount of money you have set aside specifically for betting. Should be managed carefully using unit sizing and never mixed with living expenses.
Example
If you have $1000 bankroll, using 1-2% per bet = $10-$20 per bet. This protects you from ruin during downswings.
The percentage of profit or loss relative to your total amount wagered. The true measure of long-term betting profitability.
Example
If you bet $1000 total and profit $120, your ROI is +12%. Track this using the Bet Management tool.
The percentage of bets that result in a win. Note: a 60% win rate at low odds can be less profitable than a 50% win rate at higher odds. ROI is a better overall metric.
Example
ROI matters more than win rate: a 60% win rate at 1.40 odds loses money, while 50% at 2.10 profits. We track both, honestly, on the Performance page.
A market betting on whether the total points in a match will be over or under a bookmaker line. Lossbeater uses a mixture model (3/4/5 set distributions) to calculate O/U probabilities.
Example
Line is 195.5 total points. Our model gives 65% probability for Over based on H2H average of 208 points. Value bet detected.
Ready to Learn More?
Now that you understand the terminology, learn how to apply these concepts with our signal-based analysis.