CBB FireFactor Accuracy
The settled ledger: for each of the last 10 completed slate days, the strongest pre-game FireFactor leans — recomputed from only the game logs available before that slate — checked against what actually happened. Every row links to the player’s full read.
No CBB games are scheduled right now (likely the off-season), so settled leans aren’t available. Here are the season’s CBB leaders instead, or browse all CBB players.
CBB Points leaders — this season
All leaders →- 1
AJ DybantsaBYU · F · 35 games25.5 PTS - 2
Dior JohnsonTAR · G · 20 games24.0 PTS - 3
Jordan RileyECU · G · 30 games23.6 PTS - 4
Darius Acuff Jr.ARK · G · 36 games23.5 PTS - 5
P.J. HaggertyKSU · G · 31 games23.4 PTS - 6
Daeshun RuffinJKST · G · 28 games23.3 PTS - 7
Dominique Daniels Jr.CBU · G · 33 games23.2 PTS - 8
Ebuka OkorieSTAN · G · 31 games23.2 PTS - 9
Nick MartinelliNU · F · 33 games23.0 PTS - 10
Cameron BoozerDUKE · F · 38 games22.5 PTS - 11
Josh HubbardMSST · G · 32 games22.1 PTS - 12
Labaron Philon Jr.ALA · G · 33 games22.0 PTS - 13
JT ToppinTTU · F · 25 games21.8 PTS - 14
Jack KarasinskiBELL · F · 30 games21.7 PTS - 15
Jadin BoothSAM · G · 30 games21.6 PTS - 16
Juke HarrisWAKE · G · 35 games21.4 PTS - 17
Michael JamesMVSU · G · 32 games21.4 PTS - 18
Camren HunterCARK · G · 34 games21.0 PTS - 19
Kamrin OriolUNF · G · 32 games20.9 PTS - 20
Lamar WilkersonIU · G · 32 games20.9 PTS - 21
Isaac BrunsSDAK · G · 20 games20.8 PTS - 22
Nick BoydWIS · G · 35 games20.7 PTS - 23
Darin Smith Jr.CCSU · F · 30 games20.7 PTS - 24
Dra Gibbs-LawhornUNLV · G · 35 games20.7 PTS - 25
Shelton Williams-DrydenWGA · F · 32 games20.7 PTS - 26
Money WilliamsMONT · G · 34 games20.6 PTS - 27
Nasir WhitlockLEH · G · 35 games20.5 PTS - 28
Corey Hadnot IIPFW · G · 32 games20.4 PTS - 29
Hamad MousaCP · G · 32 games20.4 PTS - 30
Colby GarlandSJSU · G · 29 games20.3 PTS - 31
Simeon CottleKENN · G · 17 games20.2 PTS - 32
Darryn PetersonKU · G · 24 games20.2 PTS - 33
Dontae HornePV · G · 37 games20.1 PTS - 34
Carson JohnsonDEN · G · 32 games20.1 PTS - 35
Cruz DavisHOF · G · 35 games20.1 PTS - 36
Bruce ThorntonOSU · G · 34 games19.9 PTS - 37
Terrence BrownUTAH · G · 32 games19.9 PTS - 38
Graham IkeGONZ · F · 31 games19.9 PTS - 39
Bennett StirtzIOWA · G · 37 games19.8 PTS - 40
Caleb WilsonUNC · F · 24 games19.8 PTS - 41
Daniel FreitagBUF · G · 23 games19.8 PTS - 42
Nolan MinessaleSTMN · G · 34 games19.8 PTS - 43
Chandler CuthrellELON · F · 32 games19.8 PTS - 44
Tylik WeeksTXST · F · 34 games19.7 PTS - 45
Baraka OkojieMER · G · 31 games19.7 PTS - 46
Jalen QuinnDRKE · G · 34 games19.7 PTS - 47
Tavari JohnsonAKR · G · 35 games19.7 PTS - 48
Cade TysonMINN · G · 32 games19.6 PTS - 49
Mostapha El MoutaouakkilJXST · G · 32 games19.5 PTS - 50
Kahmare HolmesWOF · G · 26 games19.5 PTS
How to read this honestly: rows are recomputed after the fact from the same public game logs the live board uses, settled at the line a book actually posted for that slate where we still have it (hover a line to see which) and at our own book-style half-point line otherwise. They omit the matchup / Vegas / pace context the live board folds in, because that context can’t be faithfully reconstructed later — so these are conservative reads. A small sample of settled days proves nothing either way; the point is transparency, not a win-rate claim. Descriptive research — never predictions, picks, or betting advice. See the methodology for the exact math.