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

Compare players

Player one
Isaiah LikelyTE · NYG
Player two
Sam RoushTE · CHI
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Isaiah LikelyTE · NYGSam RoushTE · CHI
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Isaiah Likely
Giants logoNew York Giants

Isaiah Likely

TEpos#9jersey26age6'4"height241lbs5seasons

Coastal Carolina · 2022 draft, round 4, pick 139

VS4of 8 shown metrics led4
Sam Roush
Bears logoChicago Bears

Sam Roush

TEpos#87jersey23age6'5"height267lbsRrookie

Stanford · 2026 draft, round 3, pick 69

Across the 8 shown metrics with numbers for at least two players (2026 season, per opportunity): Likely leads in 4 and Roush leads in 4. A count of who is ahead, not a verdict: the metrics overlap and do not weigh the same.

Usage

LikelyRoush

Percentile chips: vs 75 TEs who played half the games, 2026 season

75.0%81stSnap share · average share of team snaps in the games he played28.1%17th

Receiving

LikelyRoush

Percentile chips: vs 42 TEs who have 2.5+ targets a week (tight ends 2+), 2026 season

8.694thTargets per game1.4
0.66724thReceptions per target0.714
6.4942ndReceiving yards per target8.00
0.08775thReceiving TD per target0.000
26.6%94thTarget share · of team targets in his games5.4%
+0.26058thEPA per target+0.579
3.315thYAC per catch10.6
Advanced metrics13 more · tap to open

Usage

8Games with stats5
8.897thPlays with EPA per game1.421st
+2.27989thTotal EPA per game+0.81057th

Receiving

66.7%24thCatch rate71.4%
20.9%89thAir yards share2.4%
7.677thaDOT3.1

Defense

0.0Tackles per game0.6
0.0Solo tackles per game0.6
0.00Sacks per game0.00
0.0Tackles for loss per game0.0
0.0QB hits per game0.0
0.0Passes defended per game0.0
0.0Interceptions per game0.0

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)Isaiah LikelySam Roush
●Wk 1●Wk 2●Wk 3●Wk 4●Wk 5●Wk 6●Wk 7Wk 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.