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College Football · MATCHUP PREVIEW

South Florida Bulls at UTSA Roadrunners

2026-10-08 · 6:30 PM CT · Scheduled

ESPN standings data retrieved October 6, 2026. 2026 season totals at this snapshot.

Season comparison · dated context, not live game statistics
MeasureSouth Florida BullsUTSA Roadrunners
Record4-14-1
Points scored / game26.631.4
Points allowed / game14.626.2
Points differential+60+26
THE LAB READ

How this game can be won

South Florida Bulls average 26.6 points scored and 14.6 allowed; UTSA Roadrunners average 31.4 scored and 26.2 allowed. The first question is whether each offense can make ordinary downs useful. Repeated manageable gains keep more of the playbook available.

Watch the long gains separately. An offense can move steadily without breaking a big play, or spend an afternoon waiting for one big play to rescue it. The more repeatable approach is the one that can still move the ball when the defense removes its easiest option.

Field position changes the job. Starting near midfield means fewer yards are needed before a scoring chance. Once the drive reaches threatening territory, watch whether the offense finishes it with useful points instead of wasting the trip.

Finally, count the lost possessions. Turnovers can change a close game without explaining every down that came before them. Our football model needs efficiency, explosive-play rate, starting field position, drive finishing and turnover margin together. A scoring average or a third-down rate cannot replace that set.

THE LAB · OUR SIMULATION

Our matchup simulation

ESPN 2026 college-football drive and play records, August 20–October 5. We apply the Lab measures, fit their relationship to the scoring margin, then sample possible results from the scoring errors observed in completed games.

South Florida Bulls31.9%
UTSA Roadrunners68.1%
Projected marginUTSA Roadrunners +10.8
Standard deviation20.6 points
Middle 80% of margins-14 to +38Home minus away · points
Market spreadUSF +7 / UTSA -7DraftKings via ESPN · October 6 snapshot

Standard deviation shows how widely the simulated scoring margins vary. A larger number means a less steady outcome; it is not the error bar on the win percentage.

HOW THE SIMULATED GAMES FINISHED
-45 to -41 points · 16 trials-40 to -36 points · 471 trials-35 to -31 points · 580 trials-30 to -26 points · 1,608 trials-25 to -21 points · 2,219 trials-20 to -16 points · 2,568 trials-15 to -11 points · 8,044 trials-10 to -6 points · 7,904 trials-5 to -1 points · 7,782 trials0 to 4 points · 8,002 trials5 to 9 points · 11,302 trials10 to 14 points · 9,134 trials15 to 19 points · 8,357 trials20 to 24 points · 7,556 trials25 to 29 points · 6,377 trials30 to 34 points · 4,960 trials35 to 39 points · 4,449 trials40 to 44 points · 4,059 trials45 to 49 points · 1,180 trials50 to 54 points · 488 trials55 to 59 points · 697 trials60 to 64 points · 1,197 trials65 to 69 points · 227 trials70 to 74 points · 31 trials75 to 79 points · 459 trials80 to 84 points · 333 trials85 to 89 points · 0 trials-40+0+80Home team margin · points

South Florida BullsUTSA Roadrunners

Where the factor edge comes from

Lab measureWeightHome − away · zBaseline margin effect
Efficiency40%+0.27+1.4 pts
Explosiveness25%+0.32+1.0 pts
Field position10%+0.43+0.5 pts
Finishing drives15%+0.90+1.7 pts
Turnovers10%-1.25-1.6 pts

Positive effects favor UTSA Roadrunners; negative effects favor South Florida Bulls. Both offense and defense enter the net factors. Home-court / field term +7.8 points. These effects explain the fitted baseline; the simulation also varies its fitted coefficients and game outcomes.

Model inputs, variability and validation

League-average play/drive priors; 50/70/100 percent success thresholds by down, 10-yard rushing and 20-yard passing explosive thresholds. Defensive rates are included. Turnovers use offensive drives ending in an interception or lost fumble; special-teams muffs are excluded. Football editorial weights 40/25/10/15/10 percent. Profiles use Completed games through October 5, 2026. Historical calibration uses only each game’s earlier factor data; 113 completed games fit the margin and home advantage.

Chronological check 85 held-out games; margin RMSE 20.7 points; Brier score 0.200 (50/50 baseline 0.250; lower is better). The final fit then uses all available earlier games. This check is not proof of future calibration.

Outcome noise resamples observed scoring-margin errors, preserving the shape of the available results instead of imposing a bell curve. Fifty bootstrap fits capture some uncertainty in the fitted coefficients. Between-batch win-rate standard deviation 3.3 percentage points. Monte Carlo sampling standard error 0.15 percentage points applies to the unsplit positive-margin frequency; it excludes model error. Zero-margin trials (1.4%) are split equally to estimate the final winner. That is an explicit overtime assumption, not a modeled overtime system.

Injuries, starting lineup changes, rest, travel and postseason rotation changes are not adjusted. The model uses no market odds. Forecast snapshot October 6 at 10:49 AM CT; only confirmed regular-season or playoff games in the following seven days qualify.

Full simulation method and league checks →

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