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Snap Share Leaders — and Why It Is the Most Reliable Number in Fantasy

Snap share is the single most reliable measure in this project. A player's share of his offense's snaps in the odd weeks of a season predicts his even weeks at 0.96 — closer to a fixed property than to a statistic.

0 is a coin flip and 1 is a fixed property. Each bar is one measure correlated with itself across the same season. Opportunity sits at the top and efficiency at the bottom, and that ordering is the single most useful thing on this page.

Which players are on the field the most?

#	Player	Games	Snap share (per-game average)
1	Gary Barnidge	16	93.9%
2	Ja'Marr Chase	88	90.8%
3	DeVonta Smith	93	89.1%
4	Justin Jefferson	99	89.0%
5	Larry Fitzgerald	77	88.8%
6	Garrett Wilson	61	88.8%
7	Cade Otton	70	88.2%
8	Michael Pittman	98	88.0%
9	Tetairoa McMillan	21	87.1%
10	Brandon LaFell	38	86.9%
11	Terry McLaurin	114	86.4%
12	Davante Adams	163	86.3%
13	DJ Moore	136	86.2%
14	Jordy Nelson	48	86.1%
15	DK Metcalf	120	86.0%
16	Sam LaPorta	49	85.8%
17	Malik Nabers	22	85.5%
18	Brandon Aiyuk	78	85.4%
19	Travis Kelce	185	85.3%
20	Brock Bowers	30	85.1%

2016-2026, 61,376 player-games. only those with at least 4 games, applied because the question set no minimum and a rate over a handful is not a ranking.

This season

#	Player	Games	Snap share (per-game average)
1	DK Metcalf	3	96.0%
2	DeVonta Smith	3	94.3%
3	Ja'Marr Chase	3	94.0%
4	Cade Otton	3	93.7%
5	Tyler Warren	3	92.0%
6	Devaughn Vele	3	91.7%
7	Denzel Boston	3	91.3%
8	Michael Wilson	3	90.7%
9	Sam LaPorta	3	90.3%
10	Jordan Addison	3	89.7%
11	Jonathan Taylor	3	89.3%
12	Caleb Douglas	2	88.5%
13	Jameson Williams	3	87.7%
14	AJ Barner	3	86.3%
15	Trey McBride	3	86.3%

2026 so far. everyone who matched -- the usual four-game minimum was dropped because nobody in this window has played that many yet, so read a one or two game rate as the small sample it is.

What this number is worth

It repeats because it is a DECISION, not an outcome. A coaching staff decides who is on the field, and staffs repeat decisions. Nothing that depends on where the ball bounces comes close.

Use it as the first thing you look at, especially early in a season: it is already reliable after two games (0.84) while most counting stats are still noise. A player whose snap share has moved is a player whose role has changed, and role change is the largest single source of error in a projection.

Split-half reliability 0.96 (0.98 projected to a full season) across 2,941 player-seasons, 2018–2025, every player with at least four games in each half of a season. Measured 2026-09-29 by tools/reliability_players.py; the boards above are built by the same query engine the assistant uses.

Target Share Leaders — the Best Receiving Signal There IsRepeats at 0.93 Targets Per Game LeadersRepeats at 0.92 Catches Per Game LeadersRepeats at 0.89 Receiving Yards Per Game LeadersRepeats at 0.87