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College Football
NCAA FBS Hub
2026 Season & Measurements
Draft Simulator Stats
No scouting note for Locklan Hewlett yet — see the full profile for stats and stock.
13-20 and 1 TD in win vs Texas, in a role as highly conservative, mistake-free game-manager, but 25-32 3TD 2 INT vs Ohio U in a blowout win. Pocket movement 92.5 Passing Grade (1st in P4); 80% completion rate (6% better than the next best FBS QB). 81.2% Adjusted Comp (1st in P4); 73.9% Accurate-Throw Rate (1st in P4); 32 passing TDS. Some analysts like Yahoo's Nate Tice are slightly lower on his pro translating skills, projecting him as a Day 2 (third-to-fourth round) pick due to concerns about arm strength and creating outside the pocket. The Ohio State Buckeyes quarterback publicly praised the franchise's centerpiece, naming Buffalo's Josh Allen as one of his top favorite NFL quarterbacks to watch and study.
Put any two prospects head-to-head — a 2027 NFL Draft hopeful or anyone on a 2026 NCAA roster — and Fanspeak stacks their position-relevant stats and Draft Simulator signals in one view.
Choose any two players from the 2027 NFL Draft class or the 2026 NCAA roster — search by name or tap a suggestion. Pick one and the other slot narrows to the same position so the matchup stays like-for-like.
Their measurements and 2026 college production line up side-by-side — only the stats that matter for the position, with the winner of each row checked.
Weigh the community's read: Fanspeak Consensus rank, position rank, ADP, mock-draft volume, hype, and the NFL team each prospect gets drafted to most.
Locklan Hewlett and Julian Sayin are compared here on Fanspeak's 2027 NFL Draft data — body measurements, position-relevant college production, the community consensus big board, average draft position across thousands of mock drafts, and how often each prospect shows up in those mocks. Rather than one scout's take, the matchup reflects where the draft community as a whole values each player.
Consensus rank is the cleanest single signal: a lower number means the crowd boards the prospect earlier. ADP layers in mock-draft behavior, and mock-draft volume tells you which prospect the community is paying attention to. The stat comparison checks the winner of each metric.
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