Nebraska Cornhuskers Football · 2026 Season Preview

Nebraska Cornhuskers

A data-backed preview built from the committed 2026 preseason SP+ snapshot, the CFBD schedule, and Bill Connelly's extracted conference preview tables. Every projection traces to a stored payload.

2026 SP+
#37
+7.7 overall · 10th of 18 in the Big Ten
Projection
6.1
Expected wins across 12 games
Most Likely
6-6
30.4% of outcomes
Off / Def
49/39
National ranks · Connelly model: 6.0 avg wins

Executive read

Nebraska Cornhuskers enters 2026 rated 10th in the Big Ten (#37 nationally). The profile is a strong defense (#39) paired with an above average offense (#49). Schedule math puts the season at 6.1 expected wins, against Connelly's independent 6.0. 4 games project as clear underdog spots (Indiana, Oregon, Ohio State, Iowa). The season turns on 3 close games: Washington, Illinois, Rutgers.

Page 2 · Team Quality

What the Ratings Say

Overall SP+
#37
+7.7 rating
Offense
#49
29.2 pts/gm · above average
Defense
#39
21.5 allowed · strong
Special teams
#69
+0.1 value

Unit ranks, 1–138 national

Offense#49
Defense#39
Special teams#69

Bars run left (worst) to right (best): a longer bar is a better national rank. Special-teams ratings are volatile year to year.

2025 resultRecordConfSP+ rank OffDefST
Where they finished7-6 4-5 #46 #57 #44 #69

Sideline

Matt Rhule — year 4, 19-19 career.

OC: Dana Holgorsen
DC: Rob Aurich (NEW)

Aurich is 4th DC in 5 seasons; fresh off massive course correction at SDSU; Rhule reliant on transfers for defensive turnaround

Returning production

69% overall, ranked #3 nationally.

Offense 69% · Defense 69%

145 returning starts, 12 redshirt freshmen.

Two models, one slate. This report's schedule math projects 6.09 wins; Connelly's published model projects 6.0 (3.3 in conference) with a strength-of-schedule rank of #12. His model gives 65.1% odds of six-plus wins and 0.0% of eleven-plus. Two independent methods landing close together is corroboration, not confirmation — they share SP+ as an input.
Page 3 · Schedule Math

Game-by-Game Projection

WeekDateOpponentOpp SP+ Proj marginWin %Tier
Wk 12026-09-05vs Ohio#117 / -13.6+23.895%Should win
Wk 22026-09-12vs Bowling Green#115 / -13.3+23.595%Should win
Wk 32026-09-19vs North DakotaFCS+35.299%Should win
Wk 42026-09-26@ Michigan State#67 / +0.4+4.865%Lean win
Wk 52026-10-03vs Maryland#55 / +3.8+6.469%Lean win
Wk 62026-10-10vs Indiana#5 / +24.5-14.314%Upset needed
Wk 72026-10-17@ Oregon#2 / +28.3-23.15%Upset needed
Wk 92026-10-31vs Washington#21 / +14.5-4.337%Lean loss
Wk 102026-11-07@ Illinois#33 / +9.3-4.137%Lean loss
Wk 112026-11-14@ Rutgers#62 / +1.8+3.460%Swing
Wk 122026-11-21vs Ohio State#1 / +31.8-21.66%Upset needed
Wk 132026-11-27@ Iowa#22 / +13.6-8.426%Upset needed

Opening third

3.54

expected wins across 4 games
Ohio, Bowling Green, North Dakota, Michigan State

Middle third

1.25

expected wins across 4 games
Maryland, Indiana, Oregon, Washington

Closing third

1.30

expected wins across 4 games
Illinois, Rutgers, Ohio State, Iowa

How to read the margin column. It is the SP+ rating gap plus home field, in points — a positive number means the model favors Nebraska. Win percentage is that margin mapped through a logistic calibrated so a seven-point favorite wins about 70% of the time.
Page 4 · Outlook

Season Distribution

Expected wins
6.09
across 12 games
Bowl odds
68%
six or more wins
Total mass
100%
distribution sums to 100%
Conference
Big Ten
18 teams rated

Win-total probability

3 wins1.7%
4 wins8.7%
5 wins22.0%
6 wins30.4%
7 wins23.7%
8 wins10.5%
9 wins2.6%

Exact Poisson-binomial over the projected game probabilities. Bars are scaled to the most likely outcome, and the percentages are absolute.

Quarterback

Anthony Colandrea

transfer (UNLV) experienced

Flawed but incredibly enjoyable; scramble-heavy; fewer sacks than Raiola; better big-play seeker; 9 career multi-INT games shows risk

Program context

Rhule Year3
At Temple/Baylor Year 3 was 21-7 34.0 avg SP+; at Nebraska Year 3 was 7-6 46th (stagnation)

Losing Streak · 9
Nine straight sub-.500 seasons before Rhule; two straight winning seasons now but sense of stagnation

Page 5 · Conference & Method

Where They Sit in the Big Ten

#TeamSP+ rankRatingOff DefRet prodRet rank
1Ohio State#1+31.8#2#160%#31
2Oregon#2+28.3#1#366%#12
3Indiana#5+24.5#9#656%#52
4USC#13+16.8#6#2965%#14
5Michigan#14+16.1#20#1363%#20
6Penn State#17+15.7#14#2352%#67
7Washington#21+14.5#22#1965%#16
8Iowa#22+13.6#38#1744%#104
9Illinois#33+9.3#28#4450%#76
10Nebraska#37+7.7#49#3969%#3
11Minnesota#45+5.2#71#2468%#8
12UCLA#46+5.1#52#5467%#10
13Northwestern#49+4.6#78#2857%#44
14Maryland#55+3.8#65#4371%#2
15Wisconsin#61+1.8#106#2259%#35
16Rutgers#62+1.8#37#9047%#92
17Michigan State#67+0.4#61#6946%#97
18Purdue#82-2.9#86#7958%#40

Method & Provenance

Sp 2026. Committed preseason SP+ snapshot data/external/cfbd_2026/sp_plus_2026.csv via cfb_model_lab.preseason.load_sp_plus; CFBD /ratings/sp returns zero rows for 2026.

Schedule. data/external/cfbd_2026/schedule_2026.csv (CFBD /games snapshot, regular season only).

Connelly. Bill Connelly ESPN+ 2026 conference previews extracted to data/external/connelly_*_2026/.

Projection Method. SP+ differential plus 2.5-point home field, mapped to win probability by a logistic with scale 8.0 (illustrative scale; not validated for this SP+ snapshot). Win distribution is an exact Poisson-binomial assuming independent games. Not a betting model and not the repo's StackedEnsemble forecast.

Lower Division. FCS/lower-division opponents absent from the FBS SP+ table are assigned a -25.0 rating placeholder.

Not betting advice. No market lines were pulled for this report and no edge is claimed. These are schedule-strength projections from public preseason ratings. If a real market exists, price it independently.