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Isaiah LikelyTE Ā· NYG
Patrick GurdTE Ā· LV
New York GiantsIsaiah Likely
Coastal Carolina Ā· 2022 draft, round 4, pick 139
Not enough numbers in this view to set Likely and Gurd against each other.
Usage
LikelyGurdPercentile chips: vs 111 TEs who played half the games, last 4 games
Receiving
LikelyGurdPercentile chips: vs 58 TEs who have 2.5+ targets a week (tight ends 2+), last 4 games
Advanced metrics6 more Ā· tap to open
Usage
Receiving
Advanced rows are not part of the āmetrics ledā count. Pick exactly what you want under āChooseā.
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 Ā· most targetedBox score totals from ESPN (regular season and playoffs; ālast 4ā 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.