You are probably not improving because you are practising your existing game, errors included, rather than changing it. Repetition without feedback consolidates your leaks: in a controlled racket-sport study, a traditional technique-drill programme produced zero significant improvements in eight sessions, while feedback-rich, game-based methods improved six measured variables. Add two more truths, your rating lags your behaviour, and your level IS your error pattern, and the way out becomes clear: find your biggest recurring error, fix that one thing, then re-measure.
"I play twice a week and I've been the same level for a year." It is the most common sentence in club padel, and it deserves a straight answer rather than a pep talk. The straight answer has three parts.
Does playing more padel make you better?
Direct answer: only up to a point, and you have probably passed it. Match play without feedback does not just fail to fix your weaknesses; it rehearses them. Every time you retreat off the net under a lob, or over-hit a low ball, you are running a rep of exactly the habit that caps your level. Practice does not make perfect. Practice makes permanent.
The clearest experimental evidence we have comes from a racket-sport learning study that taught the same content to four matched groups using four methods over eight one-hour sessions. The traditional group, technique drills, prescribed repetitions, minimal game context, improved on precisely zero of the measured game variables. The constraints-led group (learning through modified games that force the target behaviour) significantly improved six variables, including cross-court play, volleys taken and forced errors induced, and cut unforced errors from 24 to 18 (Sintes, Torrents & Lacasa, 2024). The honest caveat, carried in full: this was a pickleball unit with 12-13-year-old school students, not adult padel players, so treat it as strong directional evidence about how racket skills are learned, not a padel-specific verdict. The direction, though, matches everything modern skill-acquisition research keeps finding: feedback and game context beat raw volume. The wider evidence is unpacked in how padel is actually learned.
So the first honest answer is: you are not improving because hours are not the input that drives improvement. Information is.
Why is my padel level stuck when I feel like I'm playing better?
Direct answer: because ratings lag behaviours, sometimes by months, and self-perception runs hot. Platform levels like Playtomic's are results-driven and reliability-damped: your number only moves as wins and losses pile up, casual matches excluded (Playtomic documentation). You can genuinely install a better bandeja in March and not see the number acknowledge it until May, especially if you keep playing the same circle of opponents whose results roughly cancel out.
There is also a harder edge to this. A 2026 study of 180 non-professional players compared self-assessed, results-updated platform ratings against a benchmark panel of five expert coaches: the platform levels averaged 0.95 levels higher than the coach judgement, with wide scatter (Fernandez-de-Osso & Sánchez-Trigo, 2026). The same study found a video-based AI rating tracked the coaches more closely than the results-based level on every agreement metric. Translation: the feeling "I'm better than my rating says" is common, occasionally true, and statistically more often the reverse. Neither your rating nor your feeling is a reliable improvement signal. Your behaviours on camera are.
What is actually keeping me at my level?
Direct answer: a small, stable set of recurring errors. Your level is not a talent ceiling; your level IS your error pattern. Change the pattern and the level follows.
The match-analysis data is blunt about this. At sub-elite competitive level, 65% of points end on an unforced error, and what separates winning pairs from losing pairs is not winners, it is error counts: 9.3 return errors per match for winners against 18.7 for losers, 11.0 volley errors against 14.6, an overall error ratio of 11.5% against 15.45% (Ungureanu, Lupo & Brustio, 2022). Losing at club level is mostly a donation problem, which means improving is mostly a donation-reduction problem, one specific, findable donation at a time.
This reframe matters because it changes what "getting better" means. It does not mean acquiring shots you do not have. It means locating the two or three situations, the lob you retreat from, the low ball you attack, the return you overcook, where your points leak, and closing them. That is a far smaller job than "improve at padel", and unlike "improve at padel", it is measurable. If your plateau has the specific flavour of being stuck at intermediate, the intermediate plateau digs into that stage in detail.
One more honest complication: not every bad match is a pattern. A single night of roughly halved sleep made elite youth padel players about 11% slower on court agility and around 10% slower in reaction time, while their hitting power was unchanged (Díaz-García et al., 2025). Some of your worst performances are state, not structure. This is exactly why single-match judgements, including harsh ones about yourself, mislead, and why trends across matches are the only readout worth trusting.
How do I start improving again?
Direct answer: run a feedback loop instead of a volume plan: measure, fix one thing, re-measure. The loop looks like this:
| Step | What you do | Why it works |
|---|---|---|
| 1. Measure | Film a real match and identify your single most expensive recurring error | You cannot fix a pattern you have not seen; memory keeps highlights, not patterns |
| 2. Fix one thing | Attack only that error, ideally through game-based practice that forces the new behaviour | One change gets reps; five changes get abandoned. Game-based methods beat drills in the learning data |
| 3. Re-measure | Film again after two or three weeks and check whether the pattern moved | Closes the loop, and catches state-noise (a tired match) before it rewrites your self-image |
Notice what this loop replaces: guessing. Most plateaued players are not short of effort, they are short of an accurate diagnosis, and they spend their practice budget on whatever a stronger opponent last punished, which is often not their most expensive leak at all. The broader improvement playbook lives in how to get better at padel, but every version of it starts the same way: with honest information about your own game.
That is the job PADEXA was built for: film your match on your phone, and the AI watches every rally, then gives you the one fix costing you the most points, with clips from your own match as evidence. First match free at padexa.ai.
If you want to keep pulling this thread: the bigger picture on an AI padel coach, then the best shots in padel, ranked by what actually wins points.
Sources
- Sintes M, Torrents C, Lacasa E (2024). Situación de aprendizaje de pickleball desde el constraints-led approach. Padel Scientific Journal, 2(2), 199-220.
- Fernandez-de-Osso AI, Sánchez-Trigo H (2026). Artificial intelligence in padel performance assessment: A comparative study of result-based and computer vision-derived rankings. International Journal of Sports Science & Coaching, 21(2), 941-949.
- Ungureanu AN, Lupo C, Brustio PR (2022). Padel Match Analysis: Notational and Time-Motion Analysis during Official Italian Sub-Elite Competitions. International Journal of Environmental Research and Public Health, 19(14), 8386.
- Díaz-García J, Parraca JA, Batalha N, Llanos-Muñoz R, Ramírez-Bravo I, López-Gajardo MA (2025). Efectos de la restricción del sueño sobre el rendimiento físico en jugadores de pádel de élite en categorías de formación. Padel Scientific Journal, 3(2), 123-134.
- Playtomic documentation (level mechanics).
More numbers: 45 padel statistics every player should know.