Off-season: Explore the unlocked site! Projections reflect re-calculations of 2022, based on end-of-season knowledge.

By Subvertadown

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How to UseThe flex position models are meant to improve upon making lineup decisions according to “fantasy-points-allowed to this position by the opposing defense”. Instead of that weakly-predictive number, these models are more complex and more accurate. **So really that’s it! If you previously used “fantasy points allowed” indicators, then think of using these in a similar way.**

If you need more than that, then here are some other FAQs:

**Are the numbers for PPR or standard?**So far, the models are only developed for standard scoring.

**Can you compare players within the same week?**You can, but you need to process the numbers with some interpretation, since the projections represent the total-team fantasy points, for the given position.

To gauge your player’s likely scoring, you need to guess if he will get 20% or 80% or X% of those points. (Some of the low-point teams will load the opportunity onto 1 player, e.g. a single RB.

Some rare leagues use rosters with “Team-RB”, “Team-WR”, and “Team-TE”. If that is your case, then just proceed and use them as usual!

For WRs, I recommend factoring in the opposing CB, for the player you are considering.

**How do you recommend using the charts?**This is what I do:Compare the current week to all the other weeks of the season. (Does this week give more opportunity? Or less?)

Compare how your player performed in previous games, relative to expectations.

Observe a player’s outlook for the rest of the season. (Does scoring opportunity appear to decrease in the second half of the season?)

**Comparison to “points-allowed”**: I have written previously about how fantasy-points-allowed is a weak predictive indicator, concluding the following:*For most positions, Points-allowed is a poor measure, with correlation less than 0.10. (Therefore little improvement over a coin-flip.) In comparison, the offensive fantasy "points-for" are more predictive, correlations in the range of 0.15-0.20. Finally, by combining raw data, points-gained, and points-allowed into a single cross-validated prediction model, correlations can reach 0.35 for most positions.*

**What situation is considered for projecting Future weeks?**The number projections for future weeks reflect how all scores would project if they were played

*within the current week*. This means they account for current-week injuries/absences etc. Maybe not ideal, but it would get very complicated otherwise.

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