How to Rank the Greatest Shots in March Madness History
A framework, a debate, and a live case study
Into the Corn - Issue #2
---
Braylon Mullins’ 35-foot game-winning shot last night — capping a 19-point UConn comeback against #1 overall seed Duke in the Elite Eight — demands a reckoning. Not just with where it ranks among the greatest shots in tournament history, but with how we rank shots at all.
So before we rank anything, we need to build the framework. And building the framework turns out to be quite interesting.
---
The Starting Point
The first four factors are relatively uncontroversial:
Stakes. What round? What’s on the line? A championship game winner outranks a Final Four winner, which outranks an Elite Eight winner, and so on. This is the most objective factor on the list.
Difficulty. Distance, time on clock, shot type, defensive pressure, and game situation. A 35-foot heave off a steal with 3 seconds left is harder than a catch-and-shoot off a designed play. This is also largely objective, though the weighting of individual components requires judgment.
Margin impact. Does the shot win the game outright from a deficit? Win from a tie? Force overtime? Cut a lead? Winning from a deficit scores highest, because the shot has to be a specific value — Mullins had to hit a three. A buzzer-beater to tie is structurally less valuable than one to win.
Game context. How improbable was the situation entering the final possession? A 19-point comeback amplifies a shot’s meaning in a way that a back-and-forth one-possession game doesn’t. This captures the arc of the game, not just the moment.
Four factors. Clean, defensible, mostly objective. The problem is they are not enough.
---
The Hard Part: What’s Missing
The first instinct is to add cultural significance — how famous is the shot, how often does it appear in highlight reels, how many people recognize it on sight? The problem is that cultural significance is just the *output* of scoring well on the first four factors over time. It doesn’t add information; it double-counts what’s already been measured. A shot that scores at the top of all four objective factors will, almost by definition, accumulate cultural weight. Using that weight as a separate input is circular.
The second instinct is narrative coherence — does the shot have a story structure that gives it meaning beyond the result? The Mullins shot has it: a freshman from Indiana going back to Indianapolis, 36 years of UConn-Duke history collapsing into a single possession, a 19-point comeback win. Laettner has it: a perfect 10-for-10 game for FG and 10-10 on FT as the backdrop for the most famous shot in tournament history.
But narrative coherence partially overlaps with game context and partially overlaps with what I actually wanted, which is something more precise: consequences.
---
The Fifth Factor
What did the shot actually lead to? Did it send a team to a championship they won? Did it establish or eliminate a dynasty? Did it change the trajectory of a program?
This is genuinely independent of the first four factors. A 35-foot buzzer-beater in an Elite Eight game scores identically on stakes, difficulty, margin impact, and game context regardless of what happens in the next three weeks. But what happens next is real information about the shot’s place in history. Laettner’s shot sent Duke to an eventual title. Jenkins’ shot *was* the title. Chalmers’ shot — a three to tie rather than win — led to a title in OT.
The obvious objection: consequences aren’t knowable at the time of the shot. Mullins is the #1 shot on the four objective factors right now. Whether he stays there depends on what happens in Indianapolis. That feels unstable. But this instability is a feature, not a bug.
This also retroactively explains why Laettner has held the top spot for 34 years. It’s not just that the shot was great on the four objective factors. It’s that Duke won the title, Kentucky was a re-emergent powerhouse, and the consequences compounded the meaning over time. The framework earns its keep by making that explicit rather than leaving it implicit in “cultural significance.”
---
The Final Framework
1. Stakes — Round and what’s on the line.
2. Difficulty — Distance, time, shot type, pressure, game situation.
3. Margin impact — Win from deficit > win from tie > force OT > cut lead.
4. Game context — How improbable was the situation entering the final possession?
5. Consequences — What did the shot actually lead to?
---
The Rankings
1. Christian Laettner, Duke vs. Kentucky — 1992 Elite Eight
Thirty-four years of accumulated consequences put him here. The shot itself scores near the top on all five factors: Elite Eight with Final Four on the line, a perfectly designed and executed play under maximum pressure, a winner from a tied game against a powerhouse opponent, capping one of the great individual tournament performances ever (10-for-10 from the field, 10-for-10 from the line). And Duke won the title. The consequences are fully known and they’re maximum. The only knock is that it came off a perfect setup — Grant Hill’s three-quarter-court pass was flawless — which marginally reduces the difficulty score relative to pure improvisation.
2. Braylon Mullins, UConn vs. Duke — 2026 Elite Eight
On the four objective factors, this is the greatest shot ever made in the NCAA Tournament. Thirty-five feet. Off a steal. No set play — pure improvisation with 3 seconds left. Down two, so the shot had to be a three. Capping a 19-point comeback against the #1 overall seed. What is also a factor is consequences, and those are unsettled. If UConn wins the national title, this shot moves to #1. UConn wins its third title in four years, and the shot made the dynasty possible. The consequences matter. If they lose in the Final Four, it stays in the second spot (or moves down in time).
3. Kris Jenkins, Villanova vs. North Carolina — 2016 National Championship
The highest stakes of any shot on this list — a national championship winner at the buzzer. Difficulty is lower than the top two (catch-and-shoot off a designed inbound play with a relatively clean look), but the margin impact is maximum and the game context is excellent. What elevates it is the sequence: Marcus Paige’s miraculous double-clutch three to tie with five seconds left set up Jenkins’ answer. Consequences are fully known: national champion.
4. Jalen Suggs, Gonzaga vs. UCLA — 2021 Final Four
The difficulty argument for Suggs is strong — half-court, off the dribble, in overtime, against a team that had just tied the game. The problem is stakes (one round below a championship) and consequences (Gonzaga lost the title game to Baylor). A half-court shot to reach a championship you don’t win ranks below a shorter shot that wins one. The shot itself is extraordinary. The full five-factor score puts it fourth.
5. Mario Chalmers, Kansas vs. Memphis — 2008 National Championship
Maximum stakes, clean execution under the most pressure-packed situation in college basketball. The margin impact is the weakest of the five — it ties the game rather than wins it, and Kansas still had to win in overtime — but the consequences are complete: national champion. What keeps Chalmers out of the top three is difficulty (a relatively conventional three off a set play with a clean look) and the structural fact that the shot required additional basketball to become a championship moment.
---
The Live Case
The Mullins ranking will be unsettled for as long as UConn remains alive in the Final Four (and will likely be debated for the rest of time). The framework makes the stakes of the Final Four explicit in a way they usually aren’t. UConn isn’t just playing for a national championship in Indianapolis. If they win, Mullins’ shot will be seen as a key moment in their dynasty -- winning three titles in four years -- and will likely surpass Laettner’s as the greatest in NCAA tournament history.
---
Into the Corn covers sports analytics, methodology, and the numbers behind the moments.
If you found this useful, share it with someone who takes sports analytics seriously. If you found something wrong with the methodology, tell me — that’s how the model gets better.

