FROZEN PREDICTION

Texas Tech vs Oklahoma State

My CFB Baseline · 2026 Week 11 · revision 3 · Independent

Open this immutable run

Texas Tech by 0.7

Why this pick?

Game controlModerately leans away
Avoiding bad lossesModerately leans away
Close-game gritNeutral effect
Defensive toughnessSmall effect
Scoring punchSmall effect
Transfer portal impactSmall effect
Previous-season performanceModerately leans away
Recruiting strengthSmall effect
Returning productionSmall effect
Team talentSmall effect
Big-game winsSmall effect
Recent formSmall effect
Wins away from homeModerately leans away
Tough schedulesSmall effect
Statement winsNeutral effect
WinningModerately leans away
Show the technical details

Frozen 2026-10-17T15:32:44.775165-05:00 · Snapshot 531 · Home win probability 0.4777 · 80% margin interval -17.4 to 15.9.

Provisional calibration: real-season accuracy is not established.

Model configuration used
Configuration
Revision 3
Engine version
3.8.0-kickoff-chronology
Evidence cutoff
Oct 17, 2026 · 3:31 PM CDT

Factors unavailable across the whole snapshot are excluded. Their weight is redistributed among available factors, so the effective model can differ from the configured sliders. Missing evidence for just one team remains neutral. The tables show saved weights; omitted factors are not reconstructed from current model settings.

Factor keyNormalized share
adj_margin0.108108
avoid_bad_losses0.040541
close_game_wins0.027027
defense_ppg0.067568
offense_ppg0.067568
preseason_portal0.040541
preseason_previous_performance0.054054
preseason_recruiting0.067568
preseason_returning0.054054
preseason_talent0.067568
quality_wins0.081081
recent_form0.054054
road_neutral_wins0.040541
sos0.081081
statement_wins0.040541
win_pct0.108108
Retained calibration/contextFrozen value
versionprovisional-all-slates-policy-v1
calibration_kinddocumented_policy
validation_statusnot_historically_validated
applied_home_field_points2.5
applied_fcs_baseline_z-1.5
residual_scale13.0
residual_scale_sourcedocumented_policy_not_validated
intercept0.0
difference_coefficient7.0
home_field_coefficient2.5

These values came from this immutable run, not the model’s current settings.

FactorHome evidenceAway evidenceNormalized shareHome effective shareAway effective shareWeighted difference
Game controlMeasuredMeasured0.1081080.134880163182049980.13488016318204998-0.06633670324817631
Avoiding bad lossesMeasuredMeasured0.0405410.0505800611932687440.050580061193268744-0.06495273974905598
Close-game gritMeasuredMeasured0.0270270.0337200407955124960.0337200407955124960.0
Defensive toughnessMeasuredMeasured0.0675680.084300101988781240.08430010198878124-0.003497474452792332
Scoring punchMeasuredMeasured0.0675680.084300101988781240.084300101988781240.027702867298131637
Transfer portal impactMeasuredMeasured0.0405410.0152027027027027040.015202702702702704-0.035884104857316065
Previous-season performanceMeasuredMeasured0.0540540.020270270270270270.02027027027027027-0.05922222993413797
Recruiting strengthMeasuredMeasured0.0675680.025337837837837840.02533783783783784-0.020128954002244438
Returning productionMeasuredMeasured0.0540540.020270270270270270.02027027027027027-0.0396808483934766
Team talentMeasuredMeasured0.0675680.025337837837837840.02533783783783784-0.010360590563963136
Big-game winsMeasuredMeasured0.0810810.101160122386537490.10116012238653749-0.026781041992617494
Recent formMeasuredMeasured0.0540540.067440081591024990.067440081591024990.010801258357137328
Wins away from homeMeasuredMeasured0.0405410.0505800611932687440.050580061193268744-0.08148258892344973
Tough schedulesMeasuredMeasured0.0810810.101160122386537490.101160122386537490.028581150595210936
Statement winsMeasuredMeasured0.0405410.0505800611932687440.0505800611932687440.0
WinningMeasuredMeasured0.1081080.134880163182049980.13488016318204998-0.11960738762806342

Missing team data was represented neutrally in the calculation; it was not a measured neutral result. Measured equal or offsetting inputs can also have zero effect.

This is the exact saved prediction. Current model settings and current prediction selection are not used here.