HomeScoresLiveTonight's picksPlay
MLBTop 1
TEX 0@HOU 0
-0.2ppmedium
MLBTop 1
KC 0@COL 0
-2.0ppmedium
MLBEnd 7
PIT 4@CIN 5
+40.9ppmedium
MLBBot 5
PHI 3@BAL 2
-32.2ppmedium
MLBBot 5
STL 1@TOR 0
-30.5ppmedium
MLBTop 5
ARI 0@CLE 1
+25.6ppmedium
MLBTop 5
WSH 1@ATL 2
+27.4ppmedium
MLBBot 5
CHW 4@TB 1
-61.8pplow
MLBMid 5
MIA 4@NYM 0
-48.5pplow
WNBAHalftime
DAL 35@WSH 38
WNBA3:18 - 2nd
SEA 28@ATL 37
+3.2ppmedium
TONIGHTGraded picks 0-1 so far (MLB 0-1)
LAST NIGHT · MLBS. Burke (CHW): 6.0 IP · 10 K in a win over NYY — Standout Index 91
LAST NIGHT · WNBAA. Wilson (LV): 33 PTS · 10 REB · 6 AST in a win over NY
LAST NIGHT · MLBN. Cameron (KC): 8.0 IP · 7 K against MIN
TRANSACTION · MLBMariners: Placed SS J.P (Jul 31)
TRANSACTION · MLBAngels: Selected the contract of RHP Luke Murphy from Rocket City (SL) (Jul 31)
TRANSACTION · MLBTigers: Recalled LHP Enmanuel De Jesus from Toledo (IL) (Jul 31)
MLBTop 1
TEX 0@HOU 0
-0.2ppmedium
MLBTop 1
KC 0@COL 0
-2.0ppmedium
MLBEnd 7
PIT 4@CIN 5
+40.9ppmedium
MLBBot 5
PHI 3@BAL 2
-32.2ppmedium
MLBBot 5
STL 1@TOR 0
-30.5ppmedium
MLBTop 5
ARI 0@CLE 1
+25.6ppmedium
MLBTop 5
WSH 1@ATL 2
+27.4ppmedium
MLBBot 5
CHW 4@TB 1
-61.8pplow
MLBMid 5
MIA 4@NYM 0
-48.5pplow
WNBAHalftime
DAL 35@WSH 38
WNBA3:18 - 2nd
SEA 28@ATL 37
+3.2ppmedium
TONIGHTGraded picks 0-1 so far (MLB 0-1)
LAST NIGHT · MLBS. Burke (CHW): 6.0 IP · 10 K in a win over NYY — Standout Index 91
LAST NIGHT · WNBAA. Wilson (LV): 33 PTS · 10 REB · 6 AST in a win over NY
LAST NIGHT · MLBN. Cameron (KC): 8.0 IP · 7 K against MIN
TRANSACTION · MLBMariners: Placed SS J.P (Jul 31)
TRANSACTION · MLBAngels: Selected the contract of RHP Luke Murphy from Rocket City (SL) (Jul 31)
TRANSACTION · MLBTigers: Recalled LHP Enmanuel De Jesus from Toledo (IL) (Jul 31)
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THE ONE Analytics
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NCAA FootballHubScoresOddsPicksEdgesStandingsTeamsTrendsPlayersLeadersMethodologyGlossaryRoadmapAbout

NCAA Football·Trends

Stories the data
is telling tonight.

Hot streaks, cold spells, and statistical extremes the rating engine is currently weighting. The trends here show up in the model's confidence numbers a few days before they show up in the headlines.

Model ratings

SP+ · 2025 · cfbfastR

Top + bottom 10 by SP+ composite — the data-driven CFB rating that updates weekly during the season.

SP+ ratings · 2025

The data-driven CFB rating

136 FBS teams · via cfbfastR

Top 10

10
  1. 1

    Indiana

    Big Ten

    +32.4O +40.8 · D +9.9
  2. 2

    Ohio State

    Big Ten

    +30.1O +37.6 · D +7.7
  3. 3

    Texas Tech

    Big 12

    +27.6O +39.3 · D +12.3
  4. 4

    Oregon

    Big Ten

    +25.9O +38.7 · D +13.5
  5. 5

    Notre Dame

    FBS Independents

    +24.4O +40.0 · D +16.3
  6. 6

    Georgia

    SEC

    +24.1O +37.0 · D +14.8
  7. 7

    Ole Miss

    SEC

    +24.0O +40.4 · D +18.3
  8. 8

    Utah

    Big 12

    +22.2O +39.7 · D +17.5
  9. 9

    Miami

    ACC

    +20.7O +34.2 · D +14.3
  10. 10

    Texas A&M

    SEC

    +20.7O +38.0 · D +16.4

Bottom 10

10
  1. 136

    Massachusetts

    Mid-American

    -36.6O +7.8 · D +42.8
  2. 135

    Sam Houston

    Conference USA

    -27.8O +15.3 · D +41.8
  3. 134

    Charlotte

    American Athletic

    -26.7O +14.5 · D +39.8
  4. 133

    Georgia State

    Sun Belt

    -24.5O +18.6 · D +41.1
  5. 132

    Ball State

    Mid-American

    -23.0O +13.4 · D +34.4
  6. 131

    UL Monroe

    Sun Belt

    -21.6O +16.1 · D +35.7
  7. 130

    Kent State

    Mid-American

    -19.3O +17.0 · D +34.9
  8. 129

    UTEP

    Mountain West

    -17.5O +20.2 · D +36.3
  9. 128

    Northern Illinois

    Mountain West

    -16.7O +12.0 · D +28.1
  10. 127

    Middle Tennessee

    Conference USA

    -16.0O +20.4 · D +37.0

SP+ measures expected scoring margin vs an average FBS opponent at a neutral site. Composite = offense rating − defense rating (defense is the points-allowed component, so lower is better). Top-25-caliber teams clear +20; bottom-FBS sits below −15. The rating is updated weekly during the season by Bill Connelly.

Storylines

What the model is watching

Auto-generated narratives from team-level form, win/loss streaks, and statistical outliers.

Storylines aren't surfacing yet for NCAA Football — they appear once we have at least 5 games of context.

See the roadmap →

Season form

Hottest & coldest stretches

Last-5 / last-10 / last-20 win pct, plotted as a curve so you can see the trajectory at a glance.

Form curves need at least 10 games of season data per team — they unlock progressively as the season unfolds.

See the roadmap →
NCAA Football trends derived from rolling-window team form (last 5/10/20) + win-loss streak detection. The model picks the storyline; we surface it.

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