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.

Van Jefferson

WR — Washington Commanders · 2025 Season Final

Season Log

Van Jefferson season-by-season stats
Season Team GP PPG Finish Tgt Rec Rec Yd Rec TD Rush Att Rush Yd Rush TD
2025 TEN 16 4.4 52 29 350 1 0 0 0
2024 PIT 17 3.7 40 24 276 2 0 0 0
2023 ATL 17 2.4 43 20 209 0 1 4 0
2022 LAR 11 7.2 44 24 369 3 0 0 0
2021 LAR 17 9.9 89 50 802 6 2 20 0
2020 LAR 15 3.1 31 19 220 1 1 -1 0

Weekly Game Log — 2025

Van Jefferson 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 Denver Broncos W 21-6 0.0 #134 #9 0 0 0 0 0 0 0
2 Los Angeles Rams L 18-27 3.0 #98 #28 2 2 10 0 0 0 0
3 Indianapolis Colts W 41-24 1.8 #110 #27 1 1 8 0 0 0 0
4 Houston Texans L 27-34 1.6 #106 #1 1 1 6 0 0 0 0
5 Arizona Cardinals W 27-10 0.0 #109 #15 0 0 0 0 0 0 0
6 Las Vegas Raiders L 24-25 11.5 #26 #19 6 4 75 0 0 0 0
7 New England Patriots L 22-44 8.1 #41 #14 4 4 41 0 0 0 0
8 Indianapolis Colts L 7-28 1.6 #85 #27 8 1 6 0 0 0 0
9 Los Angeles Chargers L 14-38 3.1 #73 #12 4 1 21 0 0 0 0
10 \u2014 Inactive
11 Houston Texans L 13-16 11.2 #24 #1 7 3 22 1 0 0 0
12 Seattle Seahawks 2.1 #82 #8 1 1 11 0 0 0 0
13 Jacksonville Jaguars L 26-27 5.0 #64 #17 4 3 20 0 0 0 0
14 Cleveland Browns L 0-31 3.7 #69 #10 4 2 17 0 0 0 0
15 San Francisco 49ers W 29-21 5.3 #69 #24 5 1 43 0 0 0 0
16 Kansas City Chiefs L 18-29 4.4 #78 #4 2 2 24 0 0 0 0
17 New Orleans Saints L 23-30 7.6 #48 #11 3 3 46 0 0 0 0
18 \u2014 Inactive

Advanced Stats — 2025

Van Jefferson advanced stats, 2025
G 14
Snap % 58.6
Routes 354
Route % 56.8
TGT 52
TPRR 0.1
TGT Share % 9.8
AY/TGT 12.0
AY/Rec 21.5
AY Share % 15.5
WOPR 0.3
REC 29
RZ TGT 3
EZ TGT 1
Catch % 55.8
Rec YDS 350
Total YDS 350
Y/R 12.1
YBC/R 9.2
YAC/R 2.9
YPRR 1.0
Rec TDs 1
EPA/Play 0.2
Success % 50.0
FPTS 41.0
Avoid Tkl % 0.0
BRKTKL 0
Drops 1
Catchable 30
Drop % 1.9
INT (tgt) 0
FUM 0
20+ YDS 6
LNG 43
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.")