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2026 season · box score + nflverse play-by-play

Compare players

Player one
Jonathan TaylorRB · IND
Player two
Lew NicholsRB · PIT
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Lineup · up to 4
Jonathan TaylorRB · INDLew NicholsRB · PIT
Span
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Metrics29/29
Usage
Rushing
Receiving
Defense
Jonathan Taylor
Colts logoIndianapolis Colts

Jonathan Taylor

RBpos#28jersey27age5'10"height226lbs7seasons

Wisconsin · 2020 draft, round 2, pick 41

VS8of 8 shown metrics led0
Lew Nichols
Steelers logoPittsburgh Steelers

Lew Nichols

RBpos#31jersey25age5'10"height220lbs1seasons

Central Michigan · 2023 draft, round 7, pick 235

Across the 8 shown metrics with numbers for at least two players (2026 season): Taylor leads in 8 and Nichols leads in 0. A count of who is ahead, not a verdict: the metrics overlap and do not weigh the same.

Usage

TaylorNichols

Percentile chips: vs 92 RBs who played half the games, 2026 season

76.4%97thSnap share · average share of team snaps in the games he played6.3%7th

Rushing

TaylorNichols

Percentile chips: vs 54 RBs who have 4.5+ carries a week, 2026 season

16190thCarries · official rush attempts2
65686thRush yards6
4.147thYards per carry3.0
890thRush TD0
-0.09247thEPA per designed run-0.221

Receiving

TaylorNichols

Percentile chips: vs 20 RBs who have 2.5+ targets a week (tight ends 2+), 2026 season

3663rdTargets0
22063rdReceiving yards0
Advanced metrics21 more · tap to open

Usage

9Games with stats5
19697thPlays with EPA21st
-19.711thTotal EPA-0.468th

Rushing

16090thDesigned runs in EPA · QB scrambles count as dropbacks, kneels are left out2
41.3%60thSuccess rate50.0%

Receiving

2660thReceptions0
015thReceiving TD0
72.2%15thCatch rate–
12.5%33rdTarget share · of team targets in his games–
-2.4%18thAir yards share–
-0.14028thEPA per target–
10.388thYAC per catch–
-1.433rdaDOT–

Defense

0Tackles3
0Solo tackles2
0.0Sacks0.0
0Tackles for loss0
0QB hits0
0Passes defended0
0Interceptions0

Advanced rows are not part of the “metrics led” count. Pick exactly what you want under “Choose”.

Total EPA by week (bars) and running total (lines)Jonathan TaylorLew Nichols
●Wk 1●Wk 2●Wk 3●Wk 4●Wk 5●Wk 6●Wk 7●Wk 8●Wk 9

Expected points added across every role (passing, rushing, receiving) in the nflverse play-by-play model, in the period you picked. Lines run the total; a missing bar is a week without plays. The dot marks the best week among the 2 players.

Matchups to start with

top passers · most targeted

Box score totals from ESPN (regular season and playoffs; “last 4” is each player's four most recent games with a box score line). EPA, success rate, CPOE, aDOT, target and air-yard share from the nflverse play-by-play over the same games; snap share from nflverse snap counts. EPA per dropback includes sacks and scrambles. Carries are the official ESPN rush attempts; EPA per designed run leaves out quarterback scrambles (they count as dropbacks) and kneel-downs, so for a quarterback the two counts differ. Per opportunity divides counting stats by nflverse dropbacks (passing), ESPN targets (receiving) and ESPN carries (rushing); other counts go per game. Percentiles rank each value among players at the same position with enough volume in the same period (the same groups as the player cards: QBs 12 dropbacks a week, RBs 4.5 carries, wide receivers 2.5 targets, tight ends 2, defenders half the games; fewer than 8 peers, no percentile). The bars compare the players on the page only, not the league.