UTSA Roadrunners Football · 2026 Season Preview

UTSA Roadrunners

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+
#73
-1.5 overall · 3rd of 15 in the American
Projection
7.8
Expected wins across 12 games
Most Likely
8-4
27.1% of outcomes
Off / Def
47/102
National ranks · Connelly model: 7.5 avg wins

Executive read

UTSA Roadrunners enters 2026 rated 3rd in the American (#73 nationally). The profile is a below average defense (#102) paired with an above average offense (#47). Schedule math puts the season at 7.8 expected wins, against Connelly's independent 7.5. 1 game project as clear underdog spots (Texas). The season turns on 5 close games: Texas State, South Florida, Navy, Tulane, Florida Atlantic.

Page 2 · Team Quality

What the Ratings Say

Overall SP+
#73
-1.5 rating
Offense
#47
29.5 pts/gm · above average
Defense
#102
31.2 allowed · below average
Special teams
#59
+0.1 value

Unit ranks, 1–138 national

Offense#47
Defense#102
Special teams#59

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 4-4 #62 #28 #92 #59

Sideline

Jeff Traylor — year 7, 53-26 career.

OC: returning
DC: Jess Loepp

Loepp seeks havoc and turnovers; OK with giving up big plays to get ball back; defense outside top 80 in 4 of 5 years

Returning production

54% overall, ranked #57 nationally.

Offense 64% · Defense 44%

116 returning starts, 8 redshirt freshmen.

Two models, one slate. This report's schedule math projects 7.79 wins; Connelly's published model projects 7.5 (5.3 in conference) with a strength-of-schedule rank of #82. His model gives 90.3% odds of six-plus wins and 1.5% 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 UT Rio Grande ValleyFCS+26.096%Should win
Wk 22026-09-12@ Texas State#89 / -5.9+1.956%Swing
Wk 32026-09-20@ Texas#6 / +23.7-27.73%Upset needed
Wk 42026-09-26vs Colorado State#99 / -8.3+9.376%Lean win
Wk 52026-10-03@ Rice#120 / -14.7+10.779%Lean win
Wk 62026-10-08vs South Florida#80 / -2.8+3.862%Swing
Wk 72026-10-17vs Navy#63 / +1.1-0.150%Swing
Wk 82026-10-24@ Tulane#87 / -5.5+1.555%Swing
Wk 102026-11-06@ Florida Atlantic#94 / -7.1+3.160%Swing
Wk 112026-11-14vs North Texas#109 / -11.8+12.883%Should win
Wk 122026-11-21@ UAB#124 / -18.1+14.185%Should win
Wk 132026-11-28vs Tulsa#96 / -7.6+8.675%Lean win

Opening third

2.31

expected wins across 4 games
UT Rio Grande Valley, Texas State, Texas, Colorado State

Middle third

2.45

expected wins across 4 games
Rice, South Florida, Navy, Tulane

Closing third

3.03

expected wins across 4 games
Florida Atlantic, North Texas, UAB, Tulsa

How to read the margin column. It is the SP+ rating gap plus home field, in points — a positive number means the model favors UTSA. 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
7.79
across 12 games
Bowl odds
94%
six or more wins
Total mass
100%
distribution sums to 100%
Conference
American
15 teams rated

Win-total probability

4 wins1.1%
5 wins4.6%
6 wins12.3%
7 wins22.4%
8 wins27.1%
9 wins20.9%
10 wins9.4%
11 wins1.9%

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

Quarterback

Owen McCown

returning starter experienced

Inconsistent with duds but incredible peaks; 618 yds 9 TDs vs Tulane/ECU combined; QBR over 95.0 in those games

Program context

Off Sp Plus Avg · 31.8
Average offensive SP+ ranking of 31.8 over 5 seasons; model of stability; 23-5 in last 2 CUSA seasons

One Score Record · 2-6
2-6 in one-score finishes in 2024-25; if close-game fortunes reverse could contend

Home Overachieve · 15.4
Overachieved SP+ projections by 15.4 PPG at home; underachieved by 12.3 on road; Alamo Dome advantage

DateMatchupWhy it matters
Oct. 17Navy at UTSAFirst-ever Navy-UTSA game; UTSA overachieves by 15.4 PPG at home; could hitch Navy's title plans
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.