Published school statistics

Football stat leaders

Historical 2021 season. Season and game values are shown as each school published them. 148 of 162 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, 11:35 AM CT. Oldest snapshot Sep 25, 6:00 PM CT.

14 schools missing

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

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Rushing yards in a game · 2021

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
Harding University Sat Oct 30 vs Northwestern Okla. School stats (opens in a new tab)
689
2
Kentucky State University Sat Oct 16 vs Edward Waters School stats (opens in a new tab)
626
3
Kentucky State University Sat Oct 9 vs Lane College School stats (opens in a new tab)
472
4
Harding University Sat Nov 6 vs Southwestern Okla. School stats (opens in a new tab)
459
5
Kentucky State University Sat Sep 25 vs Benedict School stats (opens in a new tab)
450
6
University of Indianapolis Sat Oct 2 vs Southwest Baptist School stats (opens in a new tab)
448
7
Harding University Sat Sep 18 vs Southern Ark. School stats (opens in a new tab)
442
8
Ouachita Baptist University Sat Oct 2 vs Northwestern Okla. School stats (opens in a new tab)
442
9
Harding University Sat Oct 16 vs Henderson St. School stats (opens in a new tab)
438
10
University of Indianapolis Sat Oct 9 vs McKendree School stats (opens in a new tab)
432
11
University of Nebraska at Kearney Sat Oct 23 vs Lincoln (Mo.) School stats (opens in a new tab)
432
12
North Greenville University Sat Sep 25 vs ERSKINE School stats (opens in a new tab)
427
13
Kentucky State University Sat Nov 6 vs Central State School stats (opens in a new tab)
426
14
University of Indianapolis Sat Oct 23 vs Quincy School stats (opens in a new tab)
425
15
Harding University Sat Nov 20 vs Washburn School stats (opens in a new tab)
419
16
Missouri Western State University Sat Oct 30 vs Mo. Southern St. School stats (opens in a new tab)
412
17
Missouri Western State University Sat Nov 13 vs Lincoln (MO) School stats (opens in a new tab)
411
18
Harding University Sat Sep 25 vs #8 Ouachita Baptist School stats (opens in a new tab)
409
19
West Texas A&M University Thu Sep 2 vs Texas Col. School stats (opens in a new tab)
402
20
Valdosta State University Sat Oct 9 vs Delta State School stats (opens in a new tab)
401
21
Western Colorado University Sat Oct 16 vs Black Hills St. School stats (opens in a new tab)
400
22
Bowie State Sat Nov 6 vs Elizabeth City State School stats (opens in a new tab)
398
23
Mississippi Christian University Sat Oct 2 vs North Greenville School stats (opens in a new tab)
398
24
Missouri S&T Sat Sep 11 vs Arkansas Baptist School stats (opens in a new tab)
392
25
Kutztown University Sat Nov 13 vs Slippery Rock School stats (opens in a new tab)
389

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.