How the KJPI works
The KJ Predictive Index turns the factors that drive daily fantasy output into a single number per player, per site.
Box score statistics are useful for predicting performance, but they only describe what already happened. The KJPI looks at the conditions around a player — the game's betting line, the defense across from them, how much work they are getting, and what they cost — and scores each one against that player's same-position peers.
How the score is built
Each component is a 0–100 percentile. The KJPI is their weighted blend. These are the NFL weights; the NBA model reweights depending on which components have data for a given player.
- Value — production earned per dollar of salary.
- Matchup — how the opposing defense has handled this position.
- Opportunity — volume: pass attempts, touches, targets.
- Projections — the consensus site projection, blended with recent form.
- Vegas — the game's implied total and spread.
Every player page shows these five components individually, so you can see why a player rates where they do rather than taking the composite on faith.
Reading a slate
Three columns on the projections table are ours, and worth knowing:
KJPI — the composite score, 0–100. Higher is better. Slates are sorted by it out of the box.
Val — projected fantasy points per $1,000 of salary, colored against the target for that position and salary tier. Green cleared the target; grey did not.
KJ/$ — KJPI per $1,000 of salary. Use it when you are hunting value rather than ceiling.
Questions
Is KJPI Analytics free?
Which leagues and sites are covered?
How often do the projections update?
What is a good KJPI?
Is there a mobile app?
We play too
Beyond building the software and the algorithms, most of our development team actively plays DFS. We use the KJPI daily, so our own results are tied to the quality of the product — which keeps it actively maintained and improved.
Projections are for entertainment and informational purposes only and are not betting advice.