Tulsa Golden Hurricane Football · 2026 Season Preview

Tulsa Golden Hurricane

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+
#96
-7.6 overall · 9th of 15 in the American
Projection
6.2
Expected wins across 12 games
Most Likely
6-6
27.8% of outcomes
Off / Def
91/103
National ranks · Connelly model: 6.4 avg wins

Executive read

Tulsa Golden Hurricane enters 2026 rated 9th in the American (#96 nationally). The profile is a below average defense (#103) paired with a below average offense (#91). Schedule math puts the season at 6.2 expected wins, against Connelly's independent 6.4. 4 games project as clear underdog spots (Oklahoma State, Arkansas, Navy, UTSA). The season turns on 3 close games: Army, Tulane, Florida Atlantic.

Page 2 · Team Quality

What the Ratings Say

Overall SP+
#96
-7.6 rating
Offense
#91
23.5 pts/gm · below average
Defense
#103
31.7 allowed · below average
Special teams
#23
+0.5 value

Unit ranks, 1–138 national

Offense#91
Defense#103
Special teams#23

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 finished4-8 1-7 #104 #105 #107 #23

Sideline

Tre Lamb — year 2, 4-8 career.

OC: returning
DC: returning

Lamb from ETSU; up-tempo offense; got 2158 pass yds from freshman Hayes; beat OSU for first time since 1998

Returning production

62% overall, ranked #23 nationally.

Offense 64% · Defense 60%

128 returning starts, 8 redshirt freshmen.

Two models, one slate. This report's schedule math projects 6.23 wins; Connelly's published model projects 6.4 (4.1 in conference) with a strength-of-schedule rank of #104. His model gives 72.9% odds of six-plus wins and 0.1% 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 Oklahoma State#38 / +7.1-12.218%Upset needed
Wk 22026-09-12@ Sam Houston#136 / -26.3+16.288%Should win
Wk 32026-09-20vs East Texas A&MFCS+19.992%Should win
Wk 42026-09-27@ Arkansas#47 / +5.0-15.113%Upset needed
Wk 52026-10-02vs North Texas#109 / -11.8+6.770%Lean win
Wk 62026-10-10@ Navy#63 / +1.1-11.220%Upset needed
Wk 72026-10-17@ Rice#120 / -14.7+4.664%Lean win
Wk 82026-10-24vs Army#83 / -3.0-2.143%Lean loss
Wk 102026-11-07@ Tulane#87 / -5.5-4.636%Lean loss
Wk 112026-11-14vs Florida Atlantic#94 / -7.1+2.056%Swing
Wk 122026-11-21vs Charlotte#138 / -32.4+27.397%Should win
Wk 132026-11-28@ UTSA#73 / -1.5-8.625%Upset needed

Opening third

2.12

expected wins across 4 games
Oklahoma State, Sam Houston, East Texas A&M, Arkansas

Middle third

1.97

expected wins across 4 games
North Texas, Navy, Rice, Army

Closing third

2.15

expected wins across 4 games
Tulane, Florida Atlantic, Charlotte, UTSA

How to read the margin column. It is the SP+ rating gap plus home field, in points — a positive number means the model favors Tulsa. 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
6.23
across 12 games
Bowl odds
70%
six or more wins
Total mass
100%
distribution sums to 100%
Conference
American
15 teams rated

Win-total probability

3 wins1.9%
4 wins8.3%
5 wins19.7%
6 wins27.8%
7 wins24.1%
8 wins12.9%
9 wins4.2%
10 wins0.8%

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

Quarterback

Baylor Hayes

returning starter limited sample

2158 pass yds as freshman; beat Oklahoma State first time since 1998; upset Oregon State and Army

Program context

Hayes Freshman Yds · 2158
Freshman Baylor Hayes threw for 2158 yds; beat Oklahoma State first time since 1998

Page 5 · Conference & Method

Where They Sit in the American

#TeamSP+ rankRatingOff DefRet prodRet rank
1Navy#63+1.1#58#7747%#93
2Memphis#70-1.1#56#9542%#111
3UTSA#73-1.5#47#10254%#57
4East Carolina#76-2.0#84#7142%#110
5South Florida#80-2.8#59#9841%#113
6Army#83-3.0#81#8250%#75
7Tulane#87-5.5#99#8640%#117
8Florida Atlantic#94-7.1#60#12064%#19
9Tulsa#96-7.6#91#10362%#23
10Temple#102-8.7#74#11753%#64
11UConn#107-11.2#107#10831%#134
12North Texas#109-11.8#89#12332%#132
13Rice#120-14.7#119#11039%#120
14UAB#124-18.1#108#13235%#125
15Charlotte#138-32.4#137#13843%#107

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.