Data-driven fantasy point forecasts, player projections, and lineup recommendations.
FIJ
SKO
SLAW
ROM
BUL
CHW
ML-W
VAN
COI
PNG
SAMOA
JPN
IDN
SAMOA
VAN
PNG
COI
JPN
FIJ
SAMOA
PHL
GW
DW
GW
DW
PAKW
ZIMW
NEP
SCO
RCBW
KKR
GT
SRH
PBKS
DC
RCBW
MI
CSK
LSG
GW
ENGW
NZW
ENGW
NZW
Our fantasy cricket prediction model uses machine learning to forecast player scores. It weighs recent form, venue history, opponent weakness, and match context to generate point projections.
Key inputs: Last 5 match averages, strike rate vs specific bowling attacks, death-over involvement, fielding position, and toss outcome probability.
How to use projections: Don't blindly pick the highest-projected players. Look for value — players with high projections but low credit costs, or players with high upside but moderate ownership. The fantasy cricket app highlights value picks automatically.
Variance matters: In small leagues, prioritize high-floor players. In grand leagues, target high-ceiling, low-ownership differentials. Our model tags each player with a floor/ceiling rating to guide your strategy.