Purdue Boilermakers Football · 2026 Season Preview

Purdue Boilermakers

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+
#82
-2.9 overall · 18th of 18 in the Big Ten
Projection
3.2
Expected wins across 12 games
Most Likely
3-9
31.2% of outcomes
Off / Def
86/79
National ranks · Connelly model: 3.5 avg wins

Executive read

Purdue Boilermakers enters 2026 rated 18th in the Big Ten (#82 nationally). The profile is a below average defense (#79) paired with a below average offense (#86). Schedule math puts the season at 3.2 expected wins, against Connelly's independent 3.5. 7 games project as clear underdog spots (UCLA, Notre Dame, Illinois, Washington, Penn State, Iowa, Indiana). The season turns on 4 close games: Wake Forest, Minnesota, Maryland, Wisconsin.

Page 2 · Team Quality

What the Ratings Say

Overall SP+
#82
-2.9 rating
Offense
#86
23.8 pts/gm · below average
Defense
#79
27.4 allowed · below average
Special teams
#4
+0.6 value

Unit ranks, 1–138 national

Offense#86
Defense#79
Special teams#4

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 finished2-10 0-9 #90 #104 #90 #4

Sideline

Barry Odom — year 2, 2-10 career.

OC: returning
DC: Kevin Kane (returned)

Kane returns to job he held 2023-24 under Walters; Odom brought 54 transfers in 2025 then 29 more this offseason

Returning production

58% overall, ranked #40 nationally.

Offense 61% · Defense 55%

86 returning starts, 9 redshirt freshmen.

Two models, one slate. This report's schedule math projects 3.16 wins; Connelly's published model projects 3.5 (2.0 in conference) with a strength-of-schedule rank of #18. His model gives 6.5% 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 12026-09-04vs Indiana StateFCS+24.696%Should win
Wk 22026-09-12vs Wake Forest#58 / +3.6-4.038%Lean loss
Wk 32026-09-20@ UCLA#46 / +5.1-10.521%Upset needed
Wk 42026-09-26vs Notre Dame#3 / +25.8-26.24%Upset needed
Wk 52026-10-03@ Illinois#33 / +9.3-14.714%Upset needed
Wk 62026-10-10vs Minnesota#45 / +5.2-5.633%Lean loss
Wk 72026-10-17vs Washington#21 / +14.5-14.913%Upset needed
Wk 92026-10-31@ Penn State#17 / +15.7-21.17%Upset needed
Wk 102026-11-07vs Maryland#55 / +3.8-4.237%Lean loss
Wk 112026-11-14@ Iowa#22 / +13.6-19.09%Upset needed
Wk 122026-11-21vs Wisconsin#61 / +1.8-2.243%Lean loss
Wk 132026-11-28@ Indiana#5 / +24.5-29.92%Upset needed

Opening third

1.58

expected wins across 4 games
Indiana State, Wake Forest, UCLA, Notre Dame

Middle third

0.67

expected wins across 4 games
Illinois, Minnesota, Washington, Penn State

Closing third

0.91

expected wins across 4 games
Maryland, Iowa, Wisconsin, Indiana

How to read the margin column. It is the SP+ rating gap plus home field, in points — a positive number means the model favors Purdue. 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
3.16
across 12 games
Bowl odds
4%
six or more wins
Total mass
100%
distribution sums to 100%
Conference
Big Ten
18 teams rated

Win-total probability

1 wins7.7%
2 wins23.3%
3 wins31.2%
4 wins23.3%
5 wins10.6%
6 wins3.0%
7 wins0.6%

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

Quarterback

Ryan Browne

returning starter limited sample

Could be decent with better supporting cast; only 4 of 14 offensive players with 200+ snaps return

Top transfer

Mister Clark (NB, from FIU)
Do-it-all nickel; 12 breakups / 3 INT / 6 run stops / 48 solo tackles

Program context

Record 3Yr · 7-29
7-29 in past 3 years after winning 17 in Brohm's last 2; Indiana surging simultaneously

Transfer Volume · 83
Brought 54 transfers in 2025 then 29 more in 2026; extremely new two-deep; only 10 of 29 players with 200+ snaps return

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.