Measured, not claimed
When we say 70%,
it happens
70%
of the time.
Every probability on this site has been graded against what actually happened, out of sample, match by match. The plot below is that grading, not a promise about it.
This sport has no calibration record yet, so there is nothing here worth showing.
Next up 10,630 fixtures priced ahead
National Basketball Association
Boston Celtics
v
New York Knicks
47%0%53%
National Basketball Association
Charlotte Hornets
v
Atlanta Hawks
63%0%37%
National Basketball Association
Indiana Pacers
v
Dallas Mavericks
54%0%46%
National Basketball Association
Orlando Magic
v
Minnesota Timberwolves
51%0%49%
Boston Celtics
v
New York Knicks
47%0%53%
National Basketball Association
Charlotte Hornets
v
Atlanta Hawks
63%0%37%
National Basketball Association
Indiana Pacers
v
Dallas Mavericks
54%0%46%
National Basketball Association
Orlando Magic
v
Minnesota Timberwolves
51%0%49%
Strongest on the board ranked by evidence, not by odds
The record every out-of-sample selection, settled
6,023,971
selections settled
49.40%we said they would land
49.37%actually landed
0.03points apart
Graded by a model fitted only on matches played before each one it priced, so the number on the left is a forecast rather than hindsight. Where a model has stopped beating its own baseline, the page for that sport says so above its numbers. See it broken down →
What you can do here
Scan the board
Every market across every league, ranked by how much evidence sits behind
the call rather than by how big the price is.
Price one match
Open a fixture and the model reads both sides' whole recorded history,
then prices every market on it and shows its working.
Check a slip you already have
Paste a booking code. Each leg is judged against our own number, and the
weak ones can be swapped for something the record supports.
Every figure on this page is a model estimate, not a certainty. A 70% call loses three times in ten, and this page exists to show you exactly how often. Please bet responsibly, and only what you can afford to lose.