FROZEN PREDICTION

Baylor vs Kansas

My CFB Baseline · 2026 Week 8 · revision 3 · Independent

Open this immutable run

Baylor by 2.4

Why this pick?

Game controlModerately leans away

Avoiding bad lossesModerately leans away

Close-game gritNeutral effect

Defensive toughnessModerately leans away

Scoring punchSmall effect

Transfer portal impactSmall effect

Previous-season performanceSmall effect

Recruiting strengthSmall effect

Returning productionSmall effect

Team talentSmall effect

Big-game winsModerately leans away

Recent formModerately leans away

Wins away from homeSmall effect

Tough schedulesModerately leans home

Statement winsSmall effect

WinningModerately leans away

Show the technical details

Frozen 2026-10-16T22:28:34.045739-05:00 · Snapshot 515 · Home win probability 0.4282 · 80% margin interval -19.0 to 14.3.

Provisional calibration: real-season accuracy is not established.

Model configuration used

Configuration: Revision 3
Engine version: 3.8.0-kickoff-chronology
Evidence cutoff: Oct 16, 2026 · 10:28 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 key	Normalized share
`adj_margin`	0.108108
`avoid_bad_losses`	0.040541
`close_game_wins`	0.027027
`defense_ppg`	0.067568
`offense_ppg`	0.067568
`preseason_portal`	0.040541
`preseason_previous_performance`	0.054054
`preseason_recruiting`	0.067568
`preseason_returning`	0.054054
`preseason_talent`	0.067568
`quality_wins`	0.081081
`recent_form`	0.054054
`road_neutral_wins`	0.040541
`sos`	0.081081
`statement_wins`	0.040541
`win_pct`	0.108108

Retained calibration/context	Frozen value
`version`	provisional-all-slates-policy-v1
`calibration_kind`	documented_policy
`validation_status`	not_historically_validated
`applied_home_field_points`	2.5
`applied_fcs_baseline_z`	-1.5
`residual_scale`	13.0
`residual_scale_source`	documented_policy_not_validated
`intercept`	0.0
`difference_coefficient`	7.0
`home_field_coefficient`	2.5

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

Factor	Home evidence	Away evidence	Normalized share	Home effective share	Away effective share	Weighted difference
Game control	Measured	Measured	0.108108	0.13488016318204998	0.13488016318204998	-0.10277871816130704
Avoiding bad losses	Measured	Measured	0.040541	0.050580061193268744	0.050580061193268744	-0.064430818676437
Close-game grit	Measured	Measured	0.027027	0.033720040795512496	0.033720040795512496	0.0
Defensive toughness	Measured	Measured	0.067568	0.08430010198878124	0.08430010198878124	-0.0565426755829842
Scoring punch	Measured	Measured	0.067568	0.08430010198878124	0.08430010198878124	-0.0025965800157048344
Transfer portal impact	Measured	Measured	0.040541	0.015202702702702704	0.015202702702702704	0.011263698301337124
Previous-season performance	Measured	Measured	0.054054	0.02027027027027027	0.02027027027027027	0.0043059245101349595
Recruiting strength	Measured	Measured	0.067568	0.02533783783783784	0.02533783783783784	-0.005645819890816695
Returning production	Measured	Measured	0.054054	0.02027027027027027	0.02027027027027027	-0.03278829670982071
Team talent	Measured	Measured	0.067568	0.02533783783783784	0.02533783783783784	-0.003970140457204488
Big-game wins	Measured	Measured	0.081081	0.10116012238653749	0.10116012238653749	-0.15123084911287474
Recent form	Measured	Measured	0.054054	0.06744008159102499	0.06744008159102499	-0.08812537191794928
Wins away from home	Measured	Measured	0.040541	0.050580061193268744	0.050580061193268744	-0.03612403431532375
Tough schedules	Measured	Measured	0.081081	0.10116012238653749	0.10116012238653749	0.11528302406290122
Statement wins	Measured	Measured	0.040541	0.050580061193268744	0.050580061193268744	-0.04618506171771718
Winning	Measured	Measured	0.108108	0.13488016318204998	0.13488016318204998	-0.23356027597724735

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.