The belief and where it comes from
The hot hand is the idea that success tends to breed success: a player who has hit several shots in a row is more likely than usual to hit the next one. The term comes from basketball, where players, coaches and fans have long talked about a shooter “getting hot”. Esports players describe the same thing as being “in the zone”, “locked in” or “popping off”, in which aim feels effortless and reads keep coming off.
The belief is close to universal among competitors. Whether it is accurate is a more interesting question, and the answer has changed over the years.
What the early research found
In the 1980s, psychologists Thomas Gilovich, Robert Vallone and Amos Tversky studied basketball shooting data, including shots from professional games and a controlled shooting experiment. They reported that the chance of making a shot did not appear to depend on whether the previous shots were made. Their conclusion was that the hot hand was a cognitive illusion: people see patterns in sequences that are consistent with random chance.
This became one of the best known results in the study of judgement. It fitted a broader point, which is that human intuition expects random sequences to alternate more than they actually do. Real random sequences contain long streaks, and people tend to read meaning into them. This is why random clumping is such a reliable source of false patterns.
The revision
The story did not stop there. In later years, researchers re-examined the statistical methods used to test for streaks. One influential paper, by Joshua Miller and Adam Sanjurjo, argued that a common way of measuring how often a shooter hits after a hit was subtly biased when applied to short sequences, in a direction that would make the hot hand harder to detect. After correcting for it, they reported evidence of a modest hot hand effect in some data.
The debate that followed is still ongoing, and a careful summary is as follows:
- Some real streakiness in performance may exist, in some settings, but if so it is probably much smaller than people feel it to be.
- Detecting a small effect in noisy data is hard, and different datasets and methods give different answers.
- Players and fans almost certainly overestimate how strong and how predictable it is.
So the modern position is not that the hot hand is a pure myth, but that the belief is probably much stronger than the effect.
Why the feeling is so convincing
Even if a small effect exists, there are several reasons the belief feels far stronger than the evidence supports.
Humans expect randomness to look even. Most people think a fair coin alternates more than it does. When a streak appears, it feels like it must mean something. In reality, streaks of identical outcomes are a normal feature of random processes, a point that also underlies the gambler’s fallacy.
Streaks are vivid; ordinary stretches are not. A run of five good plays is memorable, while the quiet middle is forgotten, so the highlights dominate memory.
Feeling and result are linked in both directions. When you are hitting, you feel confident and focused, and the feeling is real. But it follows the success as much as it causes it. Reading the feeling as a signal about the next attempt is a leap.
Selecting the evidence. After a good run, a player notices the next success and counts it as confirmation. Failures after a streak are often explained away as exceptions.
Genuine causes of streakiness exist. Not all variation is luck. Sleep, warm-up, ping, mood or a favourable matchup can all change performance across a session. Those effects are real, but they are not the same as the hot hand in the sense of success causing success, and they do not make the next attempt predictable on their own.
What this means for competitive play
In shooters, tactical games and fighting games, there are a few practical consequences.
Treat hot feelings as weak evidence. If your aim feels sharp, it may be true, but a handful of hits is a small sample size. A perception of heat does not justify forcing difficult shots or taking duels you would otherwise decline.
Be careful with teammates. In team games, “feeding the hot player” is a common call. If the evidence of heat is a short run, the cost may be that you shift resources away from a better-positioned player. The idea has some value for morale, but weak value as a statistical edge.
Do not assume the opposite either. Believing a streak must end soon, because the player is “due” a miss, is the mirror error. Independent events have no memory. The same logic shows up in item farming, where a rare drop is never “due” just because many attempts have failed, and the expected attempts for a drop describe an average rather than a schedule.
Notice what can change. If you suspect heat in your own play, look for causes you can control: have you warmed up, are you rested, did you change settings? Those are more useful than the story that you are hot.
Avoid overconfidence. A run of good performance can push risk-taking beyond what is sensible, which is a common cost of overconfidence after a win streak.
Check the data when you can. If you track hit rates or round outcomes, you can compare your accuracy after a hit with your accuracy after a miss across many attempts. Be aware that the method matters, since the measurement bias described above was exactly this type of mistake, and that you need a lot of attempts for any difference to be reliable.
A balanced conclusion for players
Players probably do have better and worse stretches, and the sense of “flow” is a real experience. The evidence suggests, though, that the feeling is a poor predictor of the next result, and that random fluctuation explains much more of streaky performance than it seems to. A sensible stance is to enjoy playing well, stay sceptical of the claim that it will continue, and keep making each decision on its merits rather than on the shape of the last few results.