StatChasers

Fantasy Football Player Database

Search and explore fantasy football players by position, team, scoring format, and fantasy relevance. View player profiles, season stats, game logs, rankings, and roster context for quarterbacks, running backs, wide receivers, and tight ends.

Deebo Samuel

WR — San Francisco 49ers · 2025 Season Final

Season Log

Deebo Samuel season-by-season stats
Season Team GP PPG Finish Tgt Rec Rec Yd Rec TD Rush Att Rush Yd Rush TD
2025 WAS 16 11.8 99 72 727 5 17 75 1
2024 SF 15 10.2 81 51 670 3 42 136 1
2023 SF 15 16.2 89 60 892 7 37 225 5
2022 SF 13 12.8 94 56 632 2 42 232 3
2021 SF 16 20.9 120 77 1,405 6 59 365 8
2020 SF 7 11.5 44 33 391 1 8 26 0
2019 SF 15 12.5 81 57 802 3 14 159 3

Weekly Game Log — 2025

Deebo Samuel weekly game log, 2025
Week Opponent Result Fantasy Pts Pos Rank Opp Rank vs WR Tgt Rec Rec Yd Rec TD Rush Att Rush Yd Rush TD
1 New York Giants W 17-13 22.6 #6 #20 10 7 77 0 1 19 1
2 Green Bay Packers W 26-21 17.4 #17 #23 8 7 44 1 0 0 0
3 Las Vegas Raiders W 16-15 4.9 #71 #19 3 2 11 0 3 18 0
4 Atlanta Falcons L 21-26 20.1 #12 #22 6 6 72 1 3 9 0
5 Los Angeles Chargers W 26-23 23.6 #7 #12 11 8 96 1 0 0 0
6 Chicago Bears L 19-30 5.4 #60 #30 5 4 15 0 1 -1 0
7 \u2014 Inactive
8 Kansas City Chiefs L 15-26 4.2 #66 #4 6 3 11 0 1 1 0
9 Seattle Seahawks W 34-24 9.4 #38 #7 6 5 41 0 1 3 0
10 Detroit Lions L 26-42 12.9 #28 #29 5 4 29 1 0 0 0
11 Miami Dolphins W 41-22 20.7 #5 #13 8 7 74 1 1 3 0
12 \u2014 Inactive
13 Denver Broncos W 26-8 11.1 #32 #8 7 5 64 0 2 -3 0
14 Minnesota Vikings 6.7 #49 #2 6 4 27 0 0 0 0
15 New York Giants W 37-24 7.3 #53 #20 5 3 43 0 0 0 0
16 Philadelphia Eagles W 48-27 6.5 #61 #9 4 3 35 0 0 0 0
17 Dallas Cowboys W 42-38 11.3 #32 #32 4 2 68 0 2 25 0
18 Philadelphia Eagles L 3-13 4.1 #66 #9 5 2 20 0 2 1 0

Advanced Stats — 2025

Deebo Samuel advanced stats, 2025
G 16
Snap % 72.2
Routes 384
Route % 76.8
TGT 99
TPRR 0.3
TGT Share % 22.9
AY/TGT 5.3
AY/Rec 7.3
AY Share % 13.2
WOPR 0.4
REC 72
RZ TGT 12
EZ TGT 7
Catch % 72.7
Rec YDS 727
Total YDS 802
Y/R 10.1
YBC/R 3.6
YAC/R 6.5
YPRR 1.9
Rec TDs 5
EPA/Play 0.2
Success % 54.5
FPTS 116.2
Avoid Tkl % 8.3
BRKTKL 6
Drops 6
Catchable 78
Drop % 6.1
INT (tgt) 3
FUM 2
20+ YDS 10
LNG 41
from pathlib import Path cleaned = r''' ''' out = Path('/mnt/data/redraft-command-cleaned-code.txt') out.write_text(cleaned, encoding='utf-8') print(f"Created {out} ({len(cleaned.splitlines())} lines)") print("\nUse this cleaned block in place of the corrupted module.")