Looking for feedback on data-driven player trade values & rankings

Tools and Resources

Hey all, I’m looking for feedback on a new fantasy football value system I’ve been working on.

The goal is to assign players a value based on the market data, as opposed to creating my own arbitrary rankings based on stat projections. Every player gets a Market Index value based on real signals in the data, then the rankings are split out by format. Doing it this way opens the door to being able to do things like trade evaluations, team insights, etc.

Ranking pages:

The rankings cover redraft, dynasty, 1QB, superflex, PPR, half PPR, standard scoring, rookies, and rookie picks. Obviously there are other formats than these, I'll probably expand to include some of the ones I'm missing like SF redraft or TE premium leagues.

Here’s an example from the current Dynasty 1QB PPR top 24:

#	Player	Pos	Team	Age	Value	Tier
1	Bijan Robinson	RB	ATL	24	10,000	T1
2	Ja'Marr Chase	WR	CIN	26	9,399	T2
3	Jahmyr Gibbs	RB	DET	24	8,882	T2
4	Puka Nacua	WR	LAR	24	8,432	T2
5	Jaxon Smith-Njigba	WR	SEA	24	8,036	T2
6	Josh Allen	QB	BUF	29	7,683	T2
7	Amon-Ra St. Brown	WR	DET	26	7,368	T3
8	Malik Nabers	WR	NYG	22	7,083	T3
9	Drake Maye	QB	NE	23	6,825	T3
10	Brock Bowers	TE	LV	23	6,589	T3
11	Joe Burrow	QB	CIN	29	6,373	T3
12	Trey McBride	TE	ARI	26	6,174	T3
13	Justin Jefferson	WR	MIN	26	5,990	T3
14	Ashton Jeanty	RB	LV	22	5,819	T3
15	Jayden Daniels	QB	WAS	25	5,661	T4
16	Jeremiyah Love	RB	ARI	20	5,512	T4
17	Lamar Jackson	QB	BAL	29	5,374	T4
18	CeeDee Lamb	WR	DAL	27	5,243	T4
19	De'Von Achane	RB	MIA	24	5,121	T4
20	Omarion Hampton	RB	LAC	23	5,005	T4
21	Drake London	WR	ATL	24	4,896	T4
22	Jonathan Taylor	RB	IND	27	4,793	T4
23	Tetairoa McMillan	WR	CAR	23	4,695	T4
24	Colston Loveland	TE	CHI	22	4,602	T4

A few things I’m trying to do differently:

The values are computed, not manually adjusted. ADP is the main market signal, and each format gets its own snapshot. So QBs jump in superflex, receptions matter more in PPR, and dynasty values are treated differently from redraft values.

The rankings update automatically. During the season, the underlying player values, tiers, and 7-day / 30-day trends refresh roughly every 6 hours. In the offseason, they refresh about once per day. Each page shows a “Last updated” timestamp for the actual market snapshot being used.

The tiers are based on value cliffs, not arbitrary cutoffs. The idea is to show where the market actually drops off, because that is usually more useful for drafts and trades than debating whether someone should be WR17 or WR18.

Rookie picks are valued on the same scale as players. So a 2026 1.05, a 2027 early 1st, and a veteran WR can all be compared in the same system.

I originally built this for LeagueLogs because the app uses the same value engine for trade analysis, league recaps, and roster breakdowns. But the ranking pages themselves are free and public. You do not need to connect a league or create an account to use them. I also have exposed this data in a free and public API for anyone that wants to access the data that way!

Would love feedback on whether the values and tiers pass the eye test.

What players look too high? What players look too low? Are the tier breaks useful, or would you want them displayed differently?

Thanks!

Posted May 12, 2026, 2:45 PM UTC