How my picks are doing
Plain-English. It describes how your past picks did — it never tells you what to pick next. Every number shows how many bets it's based on.
Are your picks beating the market?
You've won 47% of your picks. The market expected 43%. That's +3%, based on 45 settled bets.
This measures whether the sides you pick win more often than the betting market predicted. Above 0 means you may be reading games better than the market. It takes a real sample (at least 30 bets) to trust — one hot week means nothing.
MLB: won 48%, market expected 48% (-0%, 31 bets).
Not enough WNBA bets yet — 13 of 30.
Not enough World Cup bets yet — 1 of 30.
Did you get good prices?
based on 59 settled bets
This is your CLV — it measures whether the price you got beat the final price right before the game started. Positive means you tend to get good numbers. It's about price, not about picking winners.
What your bets cost vs. fair
based on 45 bets
On average, the prices you took were this far from the true fair price (the sharp, no-margin line). Negative is normal — it's the bookmaker's built-in cut. Closer to zero means you paid less to play.
Do the signals agree with your good picks?
You pick blind, without seeing these. This checks whether — when a signal happened to agree with your pick — you actually did better. If yes over enough bets, the signal might be worth watching. If not, it's noise. Signals are logged at zero weight until this says otherwise.
When bigger share of the money was on your side, your picks did — — — CLV when it agreed vs — when it didn't.
Agreed on 0 bets, didn't on 0. Edge for each group: — vs — — if the CLV gap just tracks the edge gap, the signal isn't adding anything on its own.
When reverse line movement was in your favor, your picks did — — — CLV when it agreed vs — when it didn't.
Agreed on 0 bets, didn't on 0. Edge for each group: — vs — — if the CLV gap just tracks the edge gap, the signal isn't adding anything on its own.
When the price moved toward your side, your picks did — — — CLV when it agreed vs — when it didn't.
Agreed on 0 bets, didn't on 0. Edge for each group: — vs — — if the CLV gap just tracks the edge gap, the signal isn't adding anything on its own.
A flat or empty result can mean two very different things: the signal doesn't help, OR our signal data is still too thin/coarse to tell (public-money readings are sparse and laggy). Don't conclude either way until the counts are real.