Published school statistics

Football stat leaders

Historical 2023 season. Season and game values are shown as each school published them. 149 of 160 Division II schools have a validated snapshot here. Schools without one are absent from these rankings.

Explore every player's season stats

Offense yards in a game Rushing yards in a game Passing yards in a game

Source: each school's published cumulative statistics. Newest snapshot Sep 29, 11:38 AM CT. Oldest snapshot Sep 25, 7:17 PM CT.

11 schools missing

These Division II schools are not in this table, so their players are not either.

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Offense yards in a game · 2023

Each row is one school's published game-by-game total. Offense yards add its rushing and passing yards for that game. A game link appears only when the date identifies one stored final for that school.

1
University of Central Missouri Sat Oct 21 vs Emporia St. School stats (opens in a new tab)
976
2
Colorado School of Mines Sat Nov 11 vs Fort Lewis School stats (opens in a new tab)
798
3
Emporia State University Sat Nov 4 vs Mo. Southern St. School stats (opens in a new tab)
795
4
Western Colorado University Sat Nov 4 vs Fort Lewis School stats (opens in a new tab)
770
5
Colorado State University Pueblo Sat Sep 30 vs Fort Lewis School stats (opens in a new tab)
764
6
University of Central Missouri Sat Nov 11 vs Lincoln (MO) School stats (opens in a new tab)
745
7
Texas Permian Basin Sat Oct 14 vs Eastern N.M. School stats (opens in a new tab)
677
8
Quincy University Sat Sep 9 vs Madonna School stats (opens in a new tab)
670
9
Slippery Rock Sat Nov 4 vs Edinboro School stats (opens in a new tab)
670
10
Eastern New Mexico University Thu Oct 26 vs Lincoln (MO) School stats (opens in a new tab)
669
11
Grand Valley State University Sat Oct 7 vs Kentucky St. School stats (opens in a new tab)
668
12
University of Central Missouri Sat Sep 23 vs Washburn School stats (opens in a new tab)
659
13
Harding University Sat Oct 21 vs Southern Ark. School stats (opens in a new tab)
653
14
University of Indianapolis Sat Oct 7 vs William Jewell School stats (opens in a new tab)
648
15
Valdosta State University Sat Sep 2 vs Point University School stats (opens in a new tab)
647
16
Colorado School of Mines Sat Sep 16 vs Adams St. School stats (opens in a new tab)
644
17
Minnesota State University, Mankato Thu Aug 31 vs Sioux Falls School stats (opens in a new tab)
642
18
University of Central Missouri Sat Oct 14 vs Northeastern St. School stats (opens in a new tab)
638
19
UNC Pembroke Sat Nov 11 vs Concord School stats (opens in a new tab)
637
20
University of Sioux Falls (S.D.) Sat Oct 14 vs MSU Moorhead School stats (opens in a new tab)
635
21
Colorado School of Mines Sat Nov 4 vs N.M. Highlands School stats (opens in a new tab)
634
22
Emporia State University Thu Aug 31 vs Lincoln (MO) School stats (opens in a new tab)
632
23
Texas Permian Basin Sat Nov 4 vs Western N.M. School stats (opens in a new tab)
631
24
University of Charleston Sat Oct 14 vs Notre Dame (OH) School stats (opens in a new tab)
631
25
Southern Arkansas University Sat Nov 11 vs Ark.-Monticello School stats (opens in a new tab)
622

Rankings include up to 25 published entries for the selected statistic. School snapshots are fetched at different times, so one school may be a game ahead of another; open “School stats” on a row for its source. Players appear as the school printed them; a player missing from the school's table is missing here. Live game state is provisional and is not added to these totals.

How to compare Division II football statistics

Choose Teams for season rates, Games for individual team game totals, or Players for published individual season totals. The selected statistic determines the order. Check the snapshot dates and missing-school list before comparing entries; a missing value is not a zero. Each row's School stats link opens the school's published source.

Find a school's schedule and results to put those totals in context. Use weekly player leaders for performances from stored final box scores, or the Super Region guide to understand the regional filters.