The Woodpecker Method: a complete guide to chess tactics training

The Woodpecker Method is a way of training chess tactics by repetition, from the 2018 book "The Woodpecker Method" by Swedish grandmasters Axel Smith and Hans Tikkanen. Instead of solving thousands of different puzzles once each, you take one fixed set and solve it again and again, faster every time.

Tikkanen developed it while he was an International Master who felt his tactics were not good enough for grandmaster level. After training this way he scored three GM norms in about seven weeks, and Smith used the same system on his way to the GM title. The name comes from a woodpecker hitting the same spot on a tree until it breaks through.

You pick a set of puzzles (the book uses about 1,000) and solve all of them. That is cycle 1. Then you solve the same puzzles in the same order again, aiming for roughly half the time, and keep going for seven cycles. The book also suggests a rest day between cycles so your memory settles.

Cycle 1 is slow on purpose: you work every puzzle out properly, which is where you actually learn the patterns. By the last cycles you are solving the whole set in a day, because you recognise most positions in a glance.

Strong players do not calculate everything from scratch. They recognise a loose piece, an overloaded defender or a weak back rank almost instantly, and only then calculate to check it. That recognition is a stored pattern, and patterns are stored by repetition, not by seeing something once.

Solving a puzzle once teaches you its answer. Solving it seven times, faster each time, moves the idea from slow calculation into instant recognition. In a real game nobody tells you there is a tactic on the board, so instant recognition is what actually wins you points.

Remembering puzzles in later cycles is not cheating. Recognising a pattern immediately is exactly what the method is training.

The set matters more than anything else, because you will spend weeks on it. It should be hard enough that cycle 1 takes real effort, but not so hard that you fail most puzzles: if you are guessing, you are training guessing.

Size is a trade-off between coverage and time. A smaller set gets you through all seven cycles sooner; a larger one covers more patterns.

A ready-made set is the same for everyone. It assumes every player needs the same tactics in the same amounts, so a player who keeps missing knight forks spends most of their seven cycles on patterns they already see.

The method works best when the set targets the patterns you personally miss. That is hard to do by hand: you would need to review every game, tag each mistake by tactic, and then find hundreds of puzzles for each one.

Audit Chess has a free Woodpecker trainer. Pick a level (Beginner, Intermediate, Advanced or Expert) and a set of 500, 700 or 1,000 puzzles from the Lichess puzzle database, where every solution is checked by Stockfish. The set is fixed, so every cycle is the same puzzles in the same order.

What makes it different is that your set is catered to you and built only for you. With "Focus on my weaknesses", Audit Chess reviews your Lichess or Chess.com games with Stockfish, and its Themes tab ranks the tactics you miss or allow. Your set then takes 60% of its puzzles from your five most-missed tactics, in proportion to how often you miss each, 1% each from your other weak spots, and the rest as a balanced mix of openings, middlegames and endgames. Two players at the same rating get two different sets.

The trainer tracks each cycle for you: solving time, days against the target, first-try accuracy and the puzzles you missed, with a chart of your time shrinking. It is free, needs no account, and your progress follows you across devices if you sign in.

Find the whole line before you move; speed should come from recognition, not rushing. Train a little every day, especially during the long first cycle. Look closely at the puzzles you miss on the first try in later cycles: those are the patterns that have not stuck yet. If cycle 1 feels impossible, reset and pick a lower level; the method only works when you can solve most of the set with effort.