Elite and steady
Upper-left is the premium zone: strong average results without much season-to-season swing.
Coaches Research Hub
Turn coach-season records into career arcs, school-by-school tenures, style profiles, and side-by-side comparisons.
Jump from the broad landscape to the highest single-season ceilings.
See where coaches built, inherited, or stabilized a program.
Stack up to four coaches on the same profile and arc surfaces.
Current Research Window
These totals update with every filter so the discovery visuals and the table below stay on the same coach universe. Start from the recommended sample, then tighten the field around identity, school, time span, or quality.
1271
Coaches in view
1786 indexed coaches available
11703
Coach-seasons
12402 total coach-season rows
2/51
Page position
1271 coaches in the current filtered result set
Summary and Filtering
Coach search stays primary, then school, archetype, time span, and quality sharpen the list. The recommended starting point is 3+ seasons.
Primary Discovery
Start with career shape or flip to identity. Either way, the chart, the coach summary, the outlier list, and the table context all stay synchronized.
Start with the simplest question: who paired real strength with a repeatable week-to-week shape?
Mike Knoll
Volatility: 4.22 • Average SRS: -30.12
9.1% win rate • -25.6 peak SRS
Hover or focus a point to isolate it. Click a coach to carry that selection into the results table.
Average SRS reads overall strength. Volatility is the spread of season-to-season SRS, so lower values mean a steadier profile.
Career shape lens
This is the clearest first-pass view for peak versus stability. It is the best place to start browsing.
Mike Knoll is currently highlighted in the success vs volatility view.
These callouts update with the active discovery mode and filtered coach set.
Highest peak
John Corbett
Single-season ceiling leader in the current filtered set.
Most consistent elite coach
Craig Fertig
High average strength without the season-to-season swing.
Steadiest floor
Mike Sanford Jr
Lowest volatility in the view. Lower is more stable.
Elite but volatile
Todd Monken
Big ceiling, but the weekly shape moved around more than the steady tier.
Keep the ceiling board in view, but as a support module for the active lens, not the main destination.
1. Harry Hughes
1916
2. Red Blaik
1945
3. Nelson Norgren
1916
4. Henry Williams
1905
5. Amos Alonzo Stagg
1905
Upper-left is the premium zone: strong average results without much season-to-season swing.
Upper-right still reaches major heights, but the shape was less repeatable.
Lower-left profiles stayed steady even if the absolute ceiling never reached the very top tier.
Lower-right is where the career shape had neither a high average peak nor reliable steadiness.
Supporting Insights
These are shortcuts into the same table below. Performance leads the stack, while stability and longevity stay visible without competing with the main chart.
Performance
The fastest path into peak and results leaders.
Single-season ceiling leaders.
1. Harry Hughes
1916 Colorado State (6-0-1)
2. Red Blaik
1945 Army (9-0)
3. Nelson Norgren
1916 Utah (3-2)
4. Henry Williams
1905 Minnesota (10-1)
5. Amos Alonzo Stagg
1905 Chicago (11-0)
Who won the most across a meaningful sample.
1. Walter Camp
5 seasons
2. Knute Rockne
1924 Notre Dame (10-0)
3. Ryan Day
2019 Ohio State (13-1)
4. Frank Leahy
1946 Notre Dame (8-0-1)
5. Jesse Harper
1913 Notre Dame (7-0)
Coaches who stacked elite endings.
1. Bear Bryant
1971 Alabama (11-1)
2. Joe Paterno
1994 Penn State (12-0)
3. Tom Osborne
1995 Nebraska (12-0)
4. Nick Saban
2016 Alabama (14-1)
5. Bo Schembechler
1973 Michigan (10-0-1)
Stability
Who stays in control year after year.
Low-volatility coaches with enough sample.
1. Parke Davis
1897 Lafayette (9-2-1)
2. DM Balliet
1901 Purdue (4-4-1)
3. Mike Sanford Jr
2022 Colorado (1-6)
4. Henry Shenk
1943 Kansas (4-5-1)
5. Jerry Baldwin
2001 Louisiana (3-8)
Longevity
Long arcs, big samples, and durable careers.
Big careers and long arcs.
1. John Anderson
1976 Brown (8-1)
2. Paul Davis
1963 Mississippi State (7-2-2)
3. Amos Alonzo Stagg
1905 Chicago (11-0)
4. George Barclay
1951 Washington and Lee (6-4)
5. Joe Paterno
1994 Penn State (12-0)
Results Table
1271 filtered coaches in view. Lower rank numbers are better. Lower volatility means more stable. Lower SP Def numbers are better on the identity chart.
| Compare | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Frank Thompson 5-19 • 1911-1913 | Wake Forest | 3 | 24 | 5 | 19 | 20.8% | -20.0 | -15.2 1911 peak | 5.6 | — | — | — | 0 | Balanced — | |
Don Brown 6-28 • 2022-2024 | Massachusetts | 3 | 34 | 6 | 28 | 17.6% | -18.8 | -15.2 2023 peak | 3.6 | 16.3 | 37.6 | — | 0 | Balanced — | |
Rick Venturi 1-31-1 • 1978-1980 | Northwestern | 3 | 33 | 1 | 31 | 4.5% | -17.1 | -14.6 1979 peak | 2.4 | 18.7 | 39.7 | — | 0 | Balanced — | |
Joe Hollis 13-43 • 1997-2001 | Arkansas State | 5 | 56 | 13 | 43 | 23.2% | -21.4 | -14.3 1999 peak | 6.2 | 19.7 | 41.0 | — | 0 | Offense-First Offense-First | |
Julius Wagner 8-15-1 • 1942-1946 | Colorado State | 3 | 24 | 8 | 15 | 35.4% | -26.9 | -23.8 1942 peak | 3.6 | — | — | — | 0 | Balanced — | |
John Bobo 13-30-1 • 1993-1996 | Arkansas State | 4 | 44 | 13 | 30 | 30.7% | -22.1 | -20.0 1993 peak | 1.4 | 18.0 | 38.7 | — | 0 | Balanced — | |
Brad Lambert 12-36 • 2015-2018 | Charlotte | 4 | 48 | 12 | 36 | 25.0% | -21.3 | -12.2 2018 peak | 6.0 | 14.6 | 35.0 | — | 0 | Defense-First Defense-First | |
Charles Atkinson 18-49-3 • 1949-1955 | BYU | 7 | 70 | 18 | 49 | 27.9% | -23.0 | -14.0 1953 peak | 6.8 | — | — | — | 0 | Balanced — | |
Robert McNeish 1-25-3 • 1948-1950 | Virginia Tech | 3 | 29 | 1 | 25 | 8.6% | -17.8 | -10.6 1949 peak | 7.5 | — | — | — | 0 | Balanced — | |
Berl Huffman 8-22-1 • 1947-1949 | New Mexico | 3 | 31 | 8 | 22 | 27.4% | -20.0 | -17.2 1947 peak | 3.6 | — | — | — | 0 | Balanced — | |
Trent Miles 8-38 • 2013-2016 | Georgia State | 4 | 47 | 8 | 38 | 17.0% | -18.7 | -11.0 2015 peak | 6.2 | 20.4 | 37.2 | — | 0 | Balanced — | |
Vic Koenning 5-29 • 2000-2002 | Wyoming | 3 | 34 | 5 | 29 | 14.7% | -17.0 | -13.1 2002 peak | 3.1 | 25.9 | 40.5 | — | 0 | Offense-First Offense-First | |
David Elson 9-27 • 2007-2009 | Western Kentucky | 3 | 36 | 9 | 27 | 25.0% | -19.7 | -13.9 2007 peak | 4.1 | 15.2 | 38.6 | — | 0 | Balanced — | |
CJ Hart 6-12-2 • 1925-1927 | BYU | 3 | 20 | 6 | 12 | 35.0% | -24.0 | -20.2 1925 peak | 2.7 | — | — | — | 0 | Balanced — | |
Fred Zechman 8-25 • 1983-1985 | New Mexico State | 3 | 33 | 8 | 25 | 24.2% | -20.6 | -11.2 1983 peak | 6.7 | 19.9 | 38.6 | — | 0 | Balanced — | |
Keith Burns 7-28 • 2000-2002 | Tulsa | 3 | 35 | 7 | 28 | 20.0% | -20.2 | -9.2 2000 peak | 8.0 | 19.8 | 39.2 | — | 0 | Offense-First Offense-First | |
Jim Hess 22-55 • 1990-1996 | New Mexico State | 7 | 77 | 22 | 55 | 28.6% | -20.4 | -15.1 1992 peak | 5.3 | 24.5 | 42.1 | — | 0 | Offense-First Offense-First | |
Brent Guy 9-38 • 2005-2008 | Utah State | 4 | 47 | 9 | 38 | 19.1% | -17.7 | -12.3 2008 peak | 4.0 | 13.4 | 38.4 | — | 0 | Balanced — | |
Mike DeBord 12-34 • 2000-2003 | Central Michigan | 4 | 46 | 12 | 34 | 26.1% | -18.6 | -16.0 2001 peak | 2.2 | 23.6 | 39.1 | — | 0 | Offense-First Offense-First | |
Tom Lovat 5-28 • 1974-1976 | Utah | 3 | 33 | 5 | 28 | 15.2% | -16.0 | -13.1 1976 peak | 3.3 | 16.8 | 38.0 | — | 0 | Balanced — | |
Scotty Walden 4-12 • 2020-2025 | Southern Miss, UTEP | 3 | 16 | 4 | 12 | 25.0% | -17.6 | -15.0 2020 peak | 2.1 | 19.4 | 34.2 | — | 0 | Balanced — | |
Matt Simon 11-22 • 1995-1997 | North Texas | 3 | 33 | 11 | 22 | 33.3% | -20.0 | -17.6 1996 peak | 3.4 | 20.4 | 39.0 | — | 0 | Offense-First Offense-First | |
Dick Scesniak 8-25 • 1983-1985 | Kent State | 3 | 33 | 8 | 25 | 24.2% | -16.5 | -14.5 1985 peak | 1.6 | 18.0 | 28.4 | — | 0 | Defense-First Defense-First | |
Norm Chow 10-36 • 2012-2015 | Hawai'i | 4 | 46 | 10 | 36 | 21.7% | -16.6 | -11.7 2014 peak | 4.5 | 17.6 | 33.5 | — | 0 | Defense-First Defense-First | |
Mike Jinks 7-24 • 2016-2018 | Bowling Green | 3 | 31 | 7 | 24 | 22.6% | -16.0 | -12.7 2016 peak | 3.6 | 25.7 | 38.2 | — | 0 | Offense-First Offense-First |
About This Data
Every number, chart callout, and leaderboard on this page reflects the current filter state, not the full indexed universe.
Lower volatility means more stable. Lower finish rank numbers are better. On identity, lower SP Def numbers indicate stronger defense.
Use the active chart to form a hypothesis, then drop into the table to sort, compare, and export the exact slice you are studying.