Top 25
4-5
- Games
- 9
- Win rate
- 44.4%
Back to Coaches
Consistent WinnerOffense-First
Coach Profile
Rhett Lashlee
2022-2025 • SMU
One defining program at SMU.
Rhett Lashlee's coaching record is 38-16, highlighted by seasons at SMU from 2022 to 2025.
Rhett Lashlee coached 4 seasons, won 70.4%, and posted an average SRS of 9.4. Best season: 2024 SMU. The profile was offense-first with a very steady week-to-week shape. One primary stint defined the run.
- Career record
- 38-16
- Career win rate
- 70.4%
- Average SRS
- 9.4
- Peak SRS
- 15.7
Career Dossier
One glance at the full arc.
The profile below keeps the headline numbers visible, then moves into tenure shape, school impact, and full season detail.
- Seasons coached
- 4
- Career span
- 4 years
- Best finish
- #12
- Consistency
- 75.1
Primary school anchor
SMU
Offense-First profile with 1 program stop and a peak score of 75.2.
Quick Answers
Records fans search first
Headline records use countable season rows after completed-game fallback. Partial seasons and provisional placeholders are called out separately.
- Overall record
- 38-16
- SMU record
- 38-16
- Full-season record
- 29-12
- Vs AP Top 10
- 1-1
- Vs AP Top 5
- 0-1
- Vs TCU
- 1-3
- Postseason / bowl record
- 1-3
- CFP record
- 0-1
- National titles
- 0
54 countable games, 70.4% win rate.
4 countable seasons at SMU.
3 full season rows; partial and backfilled current rows are separated.
2 games using AP ranking at game time.
1 games using AP ranking at game time.
Battle for the Iron Skillet games in this dataset.
4 scored postseason games in this dataset.
1 College Football Playoff-labeled games since 2014.
Matched by coach team-season against the national championship dataset.
Record definition and data status
Career records use countable coach-season rows. Zero-game placeholders are excluded from aggregates until a completed-game fallback can verify the record.
Completed-game fallback uses scored games joined by coach, team, and season; advanced ratings are left blank when the season summary has not supplied them.
Latest completed coached game in this dataset: Jan 3, 2026. At least one season record was backfilled from completed games, so current-season totals may move as more scores are loaded.
Career Arc
Track how the coach's season-to-season performance changed over time, where the peak landed, and where each school stint appears.
Focus on where peaks separate, where floors hold, and how the shape of each career changed over time.
Rhett Lashlee
EliteStrongAverageLean
2022Actual season year • SRS range 1.9 to 15.72025
Active comparison point
Rhett Lashlee • 2024
2024 SMU
Best season11-3 • SRS 15.7 • SP Overall 17.5
Win %
78.6%
YoY SRS
+6.8
SP Off / Def
38.2 / 21.1
Finish
#12
Comparison context
Focus a point to inspect how it stacks up against the rest of the field.
Ranked opponent record
Track career record against ranked opponents with switchable poll source and ranking timing.
Using AP Top 25 rankings at the time of each game; week-one games use the week-one ranking release when available.
Top 10
1-1
- Games
- 2
- Win rate
- 50.0%
Top 5
0-1
- Games
- 1
- Win rate
- 0.0%
View ranked game results9
| 2025 Regular Week 10 | SMU | Miami | #10 | W26-20 |
| 2024 Regular Week 15 | SMU | Clemson | #18 | L31-34 |
| 2024 Regular Week 10 | SMU | Pittsburgh | #18 | W48-25 |
| 2024 Regular Week 6 | SMU | Louisville | #22 | W34-27 |
| 2024 Postseason Week 1 | SMU | Penn State | #5 | L10-38 |
| 2023 Regular Week 14 | SMU | Tulane | #17 | W26-14 |
| 2023 Regular Week 2 | SMU | Oklahoma | #18 | L11-28 |
| 2022 Regular Week 12 | SMU | Tulane | #21 | L24-59 |
| 2022 Regular Week 8 | SMU | Cincinnati | #21 | L27-29 |
Tenure map
Each stint expands by seasons coached. Deeper color signals a stronger average SRS over that stretch.
Length = seasons coachedDeeper color = stronger stint
SMU
2022-2025 • 4 seasons
Avg SRS 9.4 • Win % 70.4%
- Longest tenure
- SMU • 4 seasons
- Best tenure
- SMU • 9.4 SRS
- Best tenure win rate
- SMU • 70.4%
Style and Strength Profile
Compare strength, identity, steadiness, and ceiling through normalized bars with raw SP and SRS context underneath.
These bars are normalized against the full coach dataset. Raw SP and SRS values stay visible so the profile reads as evidence, not decoration.
Overall Strength
Start with total quality before splitting style and variance.
Rhett Lashlee sets the reference point in overall strength.
Overall Strength
Decisive edgeRhett Lashlee sets the reference point in overall strength.
Normalized score; raw SP overall stays underneath for reference.
Rhett Lashlee
Elite
- Raw avg SP Overall
- 11.4
- Percentile
- 88th pct
Elite
Normalized against the full tracked coach pool.
Impact by school
See how each stint compared with what that program usually looked like outside that same span.
SMU
2022-2025 • 38-16
Compared with this school's baseline outside that stint over the prior 5 seasons (5 baseline seasons found).
Avg SRS 9.4Win % 70.4%
Avg wins
Higher is better
9.5 during vs 7.4 baseline
+2.1
Avg SRS
Higher is better
9.4 during vs 0.6 baseline
+8.8
Avg SP Overall
Higher is better
11.4 during vs 1.3 baseline
+10.2
Ranked finish rate
Higher is better
50.0% during vs 0.0% baseline
+50.0%
Career highs and lows
High Points
Best Season
SMU 2024
11-3 • SRS 15.7
Biggest Improvement
SMU 2023
11-3 • 7.0 SRS
Best Offensive Season
SMU 2022
7-6 • SP Off 42.0
Best Defensive Season
SMU 2025
9-4 • SP Def 19.5
Setbacks
Lowest SRS Season
SMU 2022
7-6 • SRS 1.9
Biggest Drop
SMU 2025
9-4 • -4.7 SRS
Season-by-season results
Full transparency into every season in the coaching record. Positive YoY values indicate improvement from the prior season.
| SMU | 2025 | 13 | 9 | 4 | 0 | 69.2% | — | — | 11.0 | 13.4 | 34.2 | 19.5 | -4.7 | -9.3% | Completed-game fallback |
| SMU | 2024 | 14 | 11 | 3 | 0 | 78.6% | — | #12 | 15.7 | 17.5 | 38.2 | 21.1 | +6.8 | 0.0% | Season summary |
| SMU | 2023 | 14 | 11 | 3 | 0 | 78.6% | — | #22 | 8.9 | 10.1 | 34.1 | 23.0 | +7.0 | +24.7% | Season summary |
| SMU | 2022 | 13 | 7 | 6 | 0 | 53.8% | — | — | 1.9 | 4.7 | 42.0 | 38.1 | — | — | Season summary |
Similar coaches
Popular comparisons are fan-facing matchups. Statistical comps are matched by style, strength band, volatility band, peak range, and career length.
Statistical comps
Jim Donnan
same offense-first identity • avg SRS within 0.1
Avg SRS 9.3 • Peak SRS 18.5 • 5 seasons
Best finish #10 • Volatility 5.5
Open profile →Floyd Gass
same offense-first identity • avg SRS within 1.2
Avg SRS 8.2 • Peak SRS 16.5 • 3 seasons
Best finish Unranked • Volatility 6.2
Open profile →Joey McGuire
same offense-first identity • avg SRS within 1.4
Avg SRS 10.8 • Peak SRS 22.3 • 4 seasons
Best finish Unranked • Volatility 7.0
Open profile →Kalen DeBoer
same offense-first identity • avg SRS within 0.3
Avg SRS 9.6 • Peak SRS 18.1 • 6 seasons
Best finish #2 • Volatility 8.4
Open profile →Bo Rein
avg SRS within 0.6 • volatility within 0.4
Avg SRS 10.0 • Peak SRS 13.8 • 4 seasons
Best finish #18 • Volatility 4.5
Open profile →Tom Coughlin
same offense-first identity • career span within 1 years
Avg SRS 7.4 • Peak SRS 10.2 • 3 seasons
Best finish #13 • Volatility 2.4
Open profile →