Opening Explorer: How to Read Move Trees and Win Rates

This guide explains how to use an external opening explorer, such as the Lichess opening explorer. ChessHotel does not currently have its own opening explorer. Use the external tool to research moves, then return to ChessHotel to practise them.

Read move trees in three quick steps

Opening the explorer and reading its data takes only a few moments once you know what to look for. Open the Lichess analysis board and opening explorer, then enter the moves of the position you want to study — either by typing them in algebraic notation or by playing them out on the interactive board. The explorer immediately displays a move tree: a ranked list of candidate moves from that position, each accompanied by a frequency column showing how often that move has been played and an outcome column breaking down the resulting wins, draws, and losses. To decide what to play next, scan the frequency column to find the moves opponents are most likely to choose, then check the outcome stats to see which responses score well from your side of the board.

What you need before you start

An opening explorer is a searchable database of chess positions that shows you which moves have been played from any given position, how often each move appears, and what results those moves tend to produce. Before you open one and start clicking through lines, three things will make the experience immediately more useful.

White's first move: 1.e4

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• An explorer and a suitable database. You can browse the public Lichess explorer without an account. Select the database and, where available, rating and time-control filters that fit your study goal. Account and saved-study requirements depend on the tool; they are not prerequisites for understanding a move tree.
• A basic grasp of algebraic notation. The explorer displays moves as standard algebraic notation — for example, 1.e4 e5 2.Nf3 — so recognising piece symbols (K, Q, R, B, N) and square coordinates (a1–h8) lets you follow any line without confusion.
• A position or opening name to search. You can start from the initial position and play moves on the board. Some tools also support opening-name search; do not assume every explorer does. Either approach works; having at least one concrete starting point stops you from browsing aimlessly.

If you want deeper context on specific named openings beyond what the explorer shows you, the ChessHotel openings page covers individual opening choices in detail.

How to open and navigate the explorer

The opening explorer is the starting point for any structured opening study session, and getting comfortable with its interface takes only a few minutes. The interface can show moves alongside the board as you explore positions.

Entering a position or opening name

Start from the initial position and play the opening moves on the board. For the Queen's Gambit, enter 1.d4 d5 2.c4. Each move changes the position whose continuations you are inspecting. If your chosen tool supports importing a FEN or PGN, you can also use a position or game you already have. Opening-name search and saved repertoires are separate features that vary by tool.

Once you reach a position, the explorer can show recorded responses and related statistics. This is the move tree in its most basic form: a branching list of options rooted in the current position.

Browsing branches and continuations

Clicking any move advances the board to the resulting position and shows the next continuations. This is how you walk down a branch of the tree. To step back up, use the board's navigation arrows or click a previous move in the move sequence shown above the board.

As you move deeper into the tree, the branch narrows and the move counts typically decrease, reflecting how quickly games diverge from the most common paths. Explorers such as the one at Chess opening explorer and repertoire builder - Chesstree.net also offer the option to view lines as overlays directly on the board, which can make it easier to see multiple candidate moves at a glance without losing your place in the tree.

Reading move popularity and outcome stats

Each row in the opening explorer represents a candidate move from the current position, and the columns alongside it tell a story about how that move performs in practice. Understanding what each column means lets you make informed decisions rather than guessing which continuation to study or play.

Frequency and move popularity

Frequency shows how often a particular move has been played across all the games in the database. It is usually expressed as a raw game count or a percentage of games reaching that position. A move with high frequency is one that many players have chosen, which tells you it is well-tested and unlikely to lead you into completely unknown territory. A move with low frequency might be a rare sideline — sometimes a deliberate surprise weapon, sometimes a move that simply does not hold up well under scrutiny. When you are building familiarity with a new opening, starting with the highest-frequency moves gives you the most practical preparation, because those are the lines you are most likely to encounter across the board.

Win rate and draw rate

Outcome columns can show how games ended after a move, such as wins, draws, or losses. These figures are worth reading together rather than in isolation. A move with very few games behind it should be treated cautiously. Conversely, a move played thousands of times with a modest win rate gives you a much more reliable signal about what to expect. Draw rate is particularly useful if you need a specific result: a line with a high draw rate might suit you perfectly when you need a half-point, but it is the wrong choice when you need to press for a win.

Watch out: Win rate figures in the explorer reflect the full sample of players who reached that position, not just players at your level. Always cross-reference with the rating filter before drawing conclusions about which move is objectively better for your games.

Filtering by your rating band

Filtering by your rating range can make the explorer more relevant to your games. Grandmaster games and club-level games can diverge sharply in which moves appear and how they perform, so filtering by rating band ensures the frequency and outcome stats you are reading actually reflect the decisions players at your level make. Some explorers let you set a minimum and maximum rating threshold, and applying that filter before comparing candidate moves gives you a far more relevant picture of what works in practice at your level.

Comparing candidate moves side by side

The real power of an opening explorer becomes clear when you hold two or more candidate moves up against each other from the same position. Rather than relying on intuition alone, you can read the data for each option and make a more grounded decision about what belongs in your repertoire.

Start by reaching the position where your choices diverge. Suppose after 1. e4 e5 you are deciding between 2. Nf3 and 2. Bc4. Both moves appear as separate rows in the explorer, each with its own frequency count and outcome breakdown.

Candidate move: 2.Nf3 after 1.e4 e5

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Candidate move: 2.Bc4 after 1.e4 e5

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These two boards show the resulting positions. The explorer supplies the game counts and outcomes for each move. When reading those rows side by side, focus on three things in sequence:

• Frequency: How often is each move played at your target level? A move with very few games in the database gives you less reliable outcome data to work with.
• Win rate: What percentage of games does each move win, draw, and lose? Look at the full three-way split, not just the win column, because a high draw rate can matter depending on your goals.
• Continuations: Click into each candidate to see what the opponent's most common responses are. A move that looks strong in isolation may lead to a sharp branch you are not prepared to handle.

After stepping through both lines, return to the branching position and compare what you found. If one candidate leads to well-documented continuations and the other quickly enters territory with sparse data, that contrast itself is useful information. Some explorers, including those that categorize openings by Elo rating, let you filter results by playing level, which sharpens the comparison further for your specific context.

Common mistakes when using the explorer

New users often approach the opening explorer in ways that undermine the very insights the tool is designed to provide. Three errors come up repeatedly, and recognising them early will save you from building a flawed preparation routine.

Trusting master-level stats without filtering by rating

If the database is drawn from stronger games, its frequencies and results may not match your own games. A line that is rare in one rating pool can still be common in another. Before drawing any conclusions from the statistics, apply the rating filter to match the pool of games to your own level. The numbers will often look quite different, and your preparation will be far more relevant.

Memorising long lines without understanding the ideas

The move tree makes it tempting to follow the most popular branch as deep as it goes and commit every move to memory. The problem is that opponents deviate, and a player who has only memorised moves has no idea what to do when the position shifts. Use the explorer to identify the key moments in a line — the branch points where several moves are genuinely popular — and focus your study on understanding why each candidate move makes sense rather than drilling a single sequence.

Ignoring low-frequency but dangerous sidelines

Sorting the move list by popularity and studying only the top two or three responses is a natural shortcut, but it leaves gaps. A sideline that appears in five percent of games at your level can still catch you completely unprepared if you have never looked at it. Spend a few minutes clicking through the less common branches to check whether any of them lead to positions you would find uncomfortable. A quick scan now is far cheaper than losing a game to a line you never considered.

Filtering by rating range is the single most impactful adjustment beginners can make in the explorer — without it, the stats describe a game that may look nothing like yours.

Frequently asked questions

What is an opening explorer?

An opening explorer is an interactive database tool that lets you browse chess positions move by move and see how games have continued from each point. Rather than reading static theory from a book, you navigate a live move tree: click a move, and the board updates to show the resulting position along with every recorded response and how often each one has been played. The tool also shows outcome data for continuations, so you can evaluate moves not just by their popularity but by their practical results. Some chess platforms and study sites offer opening explorers, and they are designed to make opening research interactive and data-driven rather than purely memorization-based.

How do I search for a specific opening?

There are two straightforward ways to reach any position in the explorer. The first is to enter moves directly on the board, playing through the sequence you want to study one move at a time. If you know the opening starts with 1.e4 e5, for example, you simply make those moves and the explorer updates with each click. The second approach is to search by name if the platform supports it: typing a recognized opening name into the search field jumps the board to the starting position of that line. From either entry point you can then navigate forward through the move tree by clicking any listed continuation, or step backward using the move history to explore a different branch. Saving your trees for future reference, a feature available on some explorer tools, means you can return to a line without retracing every step.

What do the percentages next to each move mean?

The percentages displayed beside each move in the explorer represent outcome statistics drawn from the games in the database. Typically you will see three figures: the share of games that White won, the share that ended in a draw, and the share that Black won. These numbers let you compare candidate moves at a glance — a move played frequently but with a poor win rate for your side is worth scrutinizing before adding it to your repertoire. Frequency data (how often a move appears relative to alternatives) tells you what players actually choose in practice, while the outcome split tells you how those choices tend to resolve. Reading both figures together gives a more complete picture than either statistic alone.

Turning explorer insights into a plan

Once you have spent time reading move trees and comparing candidate moves, the next step is converting those observations into something you can actually use at the board. A practical workflow keeps the process manageable and focused on your real games rather than abstract theory.

• Pick one position to study. Choose a branching point you reached in a recent game and use the explorer to see which continuations are played and how they score.
• Note your preferred response to each main reply. You do not need to memorise every line — identifying one solid answer per common opponent move is enough to start.
• Record your choices outside the explorer. Write down the move order in a notebook or a study tool so you can review it before your next session.
• Return after your next game. Use the explorer to check whether the game followed your prepared line and where it diverged.

For deeper guidance on a line you find, browse the ChessHotel openings directory. Then use an interactive opening lesson to practise a named system before testing it in your own games.