Indiana at UCLA Week 3 College Football Matchup Indiana at UCLA Matchup - Week 3
Sat, Sep 14 2024 · Week 3 · 🏟 Rose Bowl Pasadena, CA · Turf · 92,542 cap
Indiana✈ 1,778 mi-3 hr TZ
Away
42 13
Final
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📊 Punt & Rally Projection
Indiana
33
IND -3.5
UCLA
16
P&R Line Indiana -16.5
P&R Total O/U 48.5
Confidence 90 High
Vegas Indiana -3.5 · O/U 46.5
Matchup Prediction
Indiana has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Indiana entering this game.
Momentum Control
73.7%
Indiana wins
Solid
Game Control
75.9%
Indiana wins
Solid
Vegas Spread
Indiana -3.5
O/U 46.5
ESPN Bet
Advanced Stats
All 4 factors agree → Indiana · 83.1% ATS historically when all four align
↓ See full breakdown
🛋 UCLA Coming off BYE
Indiana 2024 Schedule
Indiana's 2024 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/31Indiana vs Florida International-20.5W31–750.5W31–7UY
Fri 9/6Indiana vs Western Illinois-44.5W77–352.5W77–3OY
Sat 9/14Indiana at UCLA-3.5W42–1346.5W42–13OY
Sat 9/21Indiana vs Charlotte-28.5W52–1450.0W52–14OY
Sat 9/28Indiana vs Maryland-7.5W42–2850.0W42–28OY
Sat 10/5Indiana vs Northwestern-12.5W41–2440.5W41–24OY
— Bye Week —
Sat 10/19Indiana vs Nebraska-6.5W56–748.0W56–7OY
Sat 10/26Indiana vs Washington-5.5W31–1754.0W31–17UY
Sat 11/2Indiana at Michigan State-7.5W47–1053.5W47–10OY
Sat 11/9Indiana vs Michigan-14.5W20–1547.5W20–15UN
— Bye Week —
Sat 11/23Indiana at Ohio State+10.5L15–3852.5L15–38ON
Sat 11/30Indiana vs Purdue-28.5W66–056.5W66–0OY
Fri 12/20Indiana at Notre Dame+7.0L17–2750.0L17–27UN
UCLA 2024 Schedule
UCLA's 2024 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/31UCLA at Hawai'i-13.5W16–1355.5W16–13UN
— Bye Week —
Sat 9/14UCLA vs Indiana+3.5L13–4246.5L13–42ON
Sat 9/21UCLA at LSU+21.5L17–3456.5L17–34UY
Sat 9/28UCLA vs Oregon+23.5L13–3454.5L13–34UY
Sat 10/5UCLA at Penn State+30.0L11–2748.0L11–27UY
Sat 10/12UCLA vs Minnesota+3.5L17–2139.0L17–21UN
Sat 10/19UCLA at Rutgers+4.0W35–3242.5W35–32OY
— Bye Week —
Sat 11/2UCLA at Nebraska+7.5W27–2038.5W27–20OY
Fri 11/8UCLA vs Iowa+6.5W20–1744.5W20–17UY
Fri 11/15UCLA at Washington+4.5L19–3147.0L19–31ON
Sat 11/23UCLA vs USC+5.0L13–1953.0L13–19UN
Sat 11/30UCLA vs Fresno State-7.5W20–1346.5W20–13UN
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2024 season
Indiana PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Indiana
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Indiana
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Indiana
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Indiana #6
+0.498
UCLA #99
+0.225
Indiana Edge
PPA Passing
Pass efficiency edge · Strong predictor
Indiana #2
+0.793
UCLA #62
+0.418
Indiana Edge
Havoc Total
Def. disruption rate · Strong predictor
Indiana #6
0.207
UCLA #37
0.181
TFLs, sacks, PBUs, forced fumbles — higher is better
Indiana Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Indiana #1
+9.485
UCLA #123
+6.813
Indiana Edge
Success Rate
Play consistency edge · Solid predictor
Indiana #2
+0.983
UCLA #112
+0.771
Indiana Edge
Field Position
Avg start (lower=better) · Solid predictor
Indiana #4
65.5
UCLA #98
72.2
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Indiana Edge
Advanced stats sourced from CFBD · 2024 season · Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Indiana Rated Higher
Overall Power Rating
Indiana
25.7
UCLA
6.6
Offense Rating
Indiana
27.6
UCLA
19.6
Defense Rating (lower = better defense)
Indiana
1.9
UCLA
13.0
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Indiana Edge
Avg sequences created per game
Indiana #37
2.00
UCLA #89
1.00
Avg sequences allowed per game (lower is better)
Indiana #8
0.00
UCLA #98
0.00
Indiana +1.00
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 1 game this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Indiana Edge
Avg GC score per game (offense)
Indiana #1
91.5
UCLA #1
18.1
Avg GC score allowed per game (lower is better)
Indiana #9
4.0
UCLA #100
55.6
Indiana +73.4
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 1 game this season
Actual Result
CSS Battle
Indiana
1 — 2 sequences
✓ Predicted correctly
GC Battle
Indiana
5.7 — 88.2 GC score
✓ Predicted correctly
Game Result
Indiana won by 29
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Indiana with a large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.

ATS data is informational only. Past cover rates do not guarantee future results.

Coaching Matchup
Indiana
Curt Cignetti #1
0–0 (0%) · Yr 1 at school
OC Mike Shanahan Yr 1 #1
DC Bryant Haines Yr 1 #1
Staff Rating
0.00 #1
UCLA
DeShaun Foster #1
0–0 (0%) · Yr 1 at school
OC Eric Bieniemy Yr 1 #1
DC Ikaika Malloe Yr 1 #1
Staff Rating
0.00 #1
About these metrics
Advanced Stats shows matchup-adjusted factor edges (offense vs opponent defense). Combination signals — when PPA, PPO, Success Rate, and Havoc all point the same direction — have historically predicted the SU winner in 95–97% of games and the ATS winner in 82–83% of games (2021–2025, FBS vs FBS, regular season).
Impact: Advanced Stats are the best performance based metric used to predict the outcome of games.

Momentum Control (CSS) measures consecutive scoring sequences — when a team scores, holds the opponent scoreless, then scores again. Teams entering a game with a CSS edge of +1.0 or more have won 71–78% of games historically (2021–2025, FBS vs FBS).
Impact: Momentum Control is a great measure for predicting game outcome but NOT an ATS advantage, data shows this is already considered when lines are set.

Game Control (GC) measures win probability dominance — how thoroughly a team controlled the game from start to finish. Teams with a GC edge of +12 or more have won 67–76% of games historically. When both metrics agree, combined confidence is higher. When they split, treat as a lean at best.
Impact: Game Control is another great measure for predicting game outcome but NOT an ATS advantage, data shows this is already considered when lines are set.

Power Ratings are a custom-built composite of a Teams Talent, Experience & Production, Coaching & Performance Metrics. These are updated constantly with roster changes, performance once the games start for the 2026 season, injuries the team is dealing with and scheduling situations.
Impact: There are a wide range of power ratings available, we think ours is the best, you can decide for yourself