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

Compare players

Player one
Jonathan TaylorRB · IND
Player two
Kaelon BlackRB · SF
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Jonathan TaylorRB · INDKaelon BlackRB · SF
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Jonathan Taylor
Colts logoIndianapolis Colts

Jonathan Taylor

RBpos#28jersey27age5'10"height226lbs7seasons

Wisconsin · 2020 draft, round 2, pick 41

VS5of 8 shown metrics led3
Kaelon Black
49ers logoSan Francisco 49ers

Kaelon Black

RBpos#26jersey25age5'9"height208lbsRrookie

Indiana · 2026 draft, round 3, pick 90

Across the 8 shown metrics with numbers for at least two players (2026 season, per opportunity): Taylor leads in 5 and Black leads in 3. A count of who is ahead, not a verdict: the metrics overlap and do not weigh the same.

Usage

TaylorBlack

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 played28.7%41st

Rushing

TaylorBlack

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

17.988thCarries per game · official rush attempts8.521st
4.0747thRush yards per carry4.4669th
4.147thYards per carry4.569th
0.05084thRush TD per carry0.01514th
-0.09247thEPA per designed run-0.08249th

Receiving

TaylorBlack

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

4.048thTargets per game0.9
6.1168thReceiving yards per target0.57
Advanced metrics14 more · tap to open

Usage

9Games with stats8
21.895thPlays with EPA per game9.351st
-2.19117thTotal EPA per game-1.10635th

Rushing

17.888thDesigned runs in EPA per game · QB scrambles count as dropbacks, kneels are left out8.521st
41.3%60thSuccess rate44.1%79th
0.11268th10+ yard runs per carry0.08843rd

Receiving

0.72215thReceptions per target0.429
0.00015thReceiving TD per target0.000
72.2%15thCatch rate42.9%
12.5%33rdTarget share · of team targets in his games4.7%
-2.4%18thAir yards share-1.2%
-0.14028thEPA per target-0.549
10.388thYAC per catch4.7
-1.433rdaDOT-2.0

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 TaylorKaelon Black
●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
Brock Purdy vs Trevor LawrenceJoe Burrow vs Josh AllenJared Goff vs Caleb WilliamsC.J. Stroud vs Jordan LoveCeeDee Lamb vs Jaxon Smith-NjigbaMatthew Golden vs Puka NacuaMichael Wilson vs Amon-Ra St. BrownChris Olave vs Malik Nabers

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.