Most padel statistics tell you who won. Point statistics tell you what to train. Here is what Padlo records on every point, and what to look for afterwards.
How the data gets in
Everything starts courtside. Whoever is scoring taps each point on a phone, and one tap, saying who won the point, is enough for a full, correct result. Everything below is optional on top. Golden Point and super tie-breaks are modeled natively, so the app tracks serve order and changes of ends by itself, and the screen stays awake while a match is open.
The six point types
Each point can be tagged with how it ended: Ace, Winner, Forced Error, Unforced Error, Serve Return Error, or Double Fault. The vocabulary is deliberately small, because a rough taxonomy applied consistently beats a fine one nobody can apply at speed.
The distinction that matters most is forced against unforced. A pair losing forty points can be cracking under pressure or missing on their own, opposite problems with opposite training answers, and a plain error count cannot tell them apart. Return errors get their own type because the return is a skill you coach separately.
Makers: who ended it and who set it up
Padlo records two roles per point. The finisher played the last shot. The assist maker played the shot before, when it created the opportunity: the lob that forced the smash, the wall ball that pulled a player out of position.
Padel is doubles with heavy shared responsibility, and finisher-only statistics misdescribe it: a player can look invisible in a winner count while creating most of their pair’s chances. For a coach with a fixed pair, makers answer what watching cannot: is the pair building points together, or playing two separate matches on the same court?
Shot type and serve square
Each point also carries the shot that ended it and, on serves, the target square. Patterns surface fast. A pair that struggles with wide serves on the deuce court will struggle all match. Better to find that in your own data on Monday than have the opponents find it first.
The court map
The court map plots every point by where it was won or lost, so a ninety-minute match becomes one picture. Filter it down to one player’s unforced errors, only winners, only the third set. Clusters appear that no table would show, and each links back to the rallies behind it.
Four checks after every match
Unforced errors by set. Climbing in the third points to fitness or concentration, not technique.
Forced-to-unforced ratio per player. High forced means real pressure from the opponents. High unforced means points given away.
Assist distribution within a pair. Very lopsided usually means one player has stopped participating in point construction.
Return errors as a share of lost points. Returns train well in isolation, so a big number here is an easy win.
Free and Pro
Simple statistics come with the free tier; full court map filtering and exports sit in Pro. The raw material is the same: one person tapping the right button between rallies, repaid within one match.