How to analyze your Valorant gameplay

Most Valorant review is rewatching your own deaths and concluding you should have aimed better. This is a repeatable routine that looks at the decisions before the fight, the numbers that actually predict rank, and the habits you are repeating without noticing.

Why rewatching your deaths does not work

A death is the end of a chain of decisions, and by the time it happens the interesting part is already over. Watching the clip again mostly produces the same conclusion every time: the crosshair was slightly off, or the opponent was already holding the angle. Neither tells you what to do differently.

The useful question is not why you lost the duel. It is why you were in that duel, alone, at that moment, with that much information. That question is answered by the twenty seconds before the death, and by whether the same twenty seconds keep repeating across matches.

Start with the round, not the fight

Pick the rounds that decided the match rather than the ones you remember. A 13 to 11 game turns on a handful of rounds, and they are rarely the ones with the highlight in them. Look for rounds where your team lost a player before any real contact, rounds where you had a numbers advantage and lost anyway, and rounds where the spike went down and the retake never got organised.

For each one, watch it from the start of the buy phase, with everyone on screen rather than following yourself. What you are looking for is the moment the round became unwinnable, which is almost always earlier than the moment it was lost.

The four numbers worth tracking

Kill-death ratio is close to useless for improvement. It rewards you for being alive at the end of lost rounds and punishes you for entries that won them. These four say more:

• Opening duels. How often you take the first fight of the round and how often you win it. Taking many and winning few is a different problem from taking almost none.
• Trade rate. When a teammate dies near you, how often the killer dies immediately after. Low trade rates usually mean spacing, not aim: you were too far away to punish, or too close and died in the same spray.
• Damage that goes somewhere. Chip damage across a site inflates a damage average without winning anything. What matters is whether the damage set up a kill your team then took.
• Round impact. Kills weighted by how much they actually swung the round, so an entry onto a site counts for more than a mop-up after the round is decided.

A number on its own still does not tell you whether it is good, which is why it helps to see each one against a population of real matches rather than in isolation.

Hunt for habits, not mistakes

A mistake is a one-off. A habit costs you the same round repeatedly, and it is the only thing worth the effort of changing. Habits show up when you look across many matches at once instead of within one.

The ones that turn up most often:

• Always the same first move. If your first fifteen seconds on a map are identical every round, everyone who has played against you twice knows where you will be.
• The same angle every time. Holding one spot is fine. Holding it every round on defence is a free kill for anyone paying attention.
• Utility on a timer rather than for a reason. Throwing the same smoke at the same second of every round is a pattern, and it tells the other team when your team is committing.
• Saving that is not saving. Dying with a full rifle in a lost round costs the next round too.

This is the part that is genuinely hard to do by memory, because it requires comparing dozens of rounds you were not thinking about at the time. Heatmaps by map and by phase of the round make it obvious quickly: a heatmap that is one bright spot is a habit.

Scout the opposition, not just yourself

A replay holds all ten players, so the same file that shows your round shows what the enemy did during it. If you are about to play the same team again, or you queue into the same people regularly, their patterns are in the file already: which site they default to, who takes the first fight, where their sentinel sets up, how their utility comes out.

This is the single biggest advantage of reviewing data rather than watching your own screen back, and it is not available at all if your review consists of a recording of your own point of view.

A routine that survives contact

Twenty minutes after a session, not two hours once a month:

1. Pick the two rounds that swung the match. Watch each from the buy phase, all ten players.
2. Ask what the losing decision was and whether you have made it before. If you have not, it is a mistake; let it go.
3. Look at one map heatmap for your last ten matches. Find the brightest spot and decide whether you want to be that predictable.
4. Check opening duels and trades for the session against your own average.
5. Write down one thing to do differently. One. Not five.

The discipline is in the last step. A review that produces a list of five changes produces no changes at all.

Doing this with valab

Everything above is possible by hand with the in-client viewer and a notebook, and plenty of people have improved that way. It is slow because the comparisons across matches are the useful part and the client cannot make them.

valab exists to remove that specific friction. Upload the .vrf, get every round back as playback with the numbers alongside, heatmaps per map and per phase, opening duels and trades, round impact, and a scouting report for anyone in the match including yourself. Start with how to watch Valorant replays if you have not got the file yet, or read what the replay analyzer actually produces.