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I analyzed 20+ million games and found 10,000+ Opening Traps That even 2400+ Rated Players Fell For

Screenshot 2026-08-23 at 7.35.57 PM.png
I've been working on something pretty interesting with opening data.

I analyzed 20+ million games played by 2400+ rated players and looked for something different from the usual engine analysis.

Instead of asking only "what is the best move?", I wanted to know:

Where do really strong players actually go wrong?

This gave me a database of 10,000+ opening traps and inefficiencies, where 2400+ rated players repeatedly made moves that led to problems.

One interesting thing I'm experimenting with is using this data for opening preparation. So instead of simply showing that Stockfish prefers a certain move, you can identify moves where strong players have historically been caught out.

For example, if you're preparing a particular line, you might find that a certain response has repeatedly caused trouble for 2400+ players. That's a very different kind of information from an engine evaluation.
Screenshot 2026-08-23 at 7.38.32 PM.png

For openings, I've been building the workflow around:

Opening Tree to see where performance starts dropping
Opening Graph to see which branches cause problems
Lines to Improve to find recurring weak variations
Opening Trouble to identify positions where you consistently come out worse
Repertoire Builder to build and save your own lines
Exact Repertoire Prep to practice those lines
Dynamic Opening Prep to practice what happens when your opponent deviates

The 10,000+ trap database is the part I'm most curious about right now.

I think there is a lot of useful information hidden in how strong players actually play, not just in what an engine says they should play.

I've put it here if anyone wants to explore it:
https://auditchess.com

I'd be particularly interested in hearing what other players think about using real-game patterns from 2400+ players as part of opening preparation.
Screenshot 2026-08-08 at 12.51.46 AM.png

![Screenshot 2026-08-23 at 7.35.57 PM.png](https://image.lichess1.org/display?fmt=png&h=0&op=resize&path=YZEQ_vPIRgMj.png&w=864&sig=2cbbb747c4cd0644fc246caf62df2f722da03159) I've been working on something pretty interesting with opening data. I analyzed 20+ million games played by 2400+ rated players and looked for something different from the usual engine analysis. Instead of asking only "what is the best move?", I wanted to know: Where do really strong players actually go wrong? This gave me a database of 10,000+ opening traps and inefficiencies, where 2400+ rated players repeatedly made moves that led to problems. One interesting thing I'm experimenting with is using this data for opening preparation. So instead of simply showing that Stockfish prefers a certain move, you can identify moves where strong players have historically been caught out. For example, if you're preparing a particular line, you might find that a certain response has repeatedly caused trouble for 2400+ players. That's a very different kind of information from an engine evaluation. ![Screenshot 2026-08-23 at 7.38.32 PM.png](https://image.lichess1.org/display?fmt=png&h=0&op=resize&path=woZ9lrE9W5Ef.png&w=864&sig=da478d0086aef194ba2cca353062027e2dbc595a) For openings, I've been building the workflow around: Opening Tree to see where performance starts dropping Opening Graph to see which branches cause problems Lines to Improve to find recurring weak variations Opening Trouble to identify positions where you consistently come out worse Repertoire Builder to build and save your own lines Exact Repertoire Prep to practice those lines Dynamic Opening Prep to practice what happens when your opponent deviates The 10,000+ trap database is the part I'm most curious about right now. I think there is a lot of useful information hidden in how strong players actually play, not just in what an engine says they should play. I've put it here if anyone wants to explore it: https://auditchess.com I'd be particularly interested in hearing what other players think about using real-game patterns from 2400+ players as part of opening preparation. ![Screenshot 2026-08-08 at 12.51.46 AM.png](https://image.lichess1.org/display?fmt=png&h=0&op=resize&path=7Sqy5dzpkdL0.png&w=864&sig=eab40ccd803569309a281115d93220857d6164a9)

Can you post the images in full size? Can you sort by quantity? Can you sort by decreasing score difference? It is interesting to study popular mistakes and the most serious mistakes.

Can you post the images in full size? Can you sort by quantity? Can you sort by decreasing score difference? It is interesting to study popular mistakes and the most serious mistakes.

Dude you have already made several posts about your generic vibe coded site. Stop doing that or I’ll report you for spamming.

Dude you have already made several posts about your generic vibe coded site. Stop doing that or I’ll report you for spamming.

In the masters database there is no game with ...d6?
In the lichess database ...d6? is the most played move, but this seems most in 1+0 bullet.
What is the point of collecting traps that only work in 1+0 bullet?

https://lichess.org/PJvdgYMf#11

In the masters database there is no game with ...d6? In the lichess database ...d6? is the most played move, but this seems most in 1+0 bullet. What is the point of collecting traps that only work in 1+0 bullet? https://lichess.org/PJvdgYMf#11

@atulya000 said ^

Where do really strong players actually go wrong?

Can you attach this file?

@atulya000 said [^](/forum/redirect/post/EbQTBX2R) > Where do really strong players actually go wrong? Can you attach this file?

@atulya000 said ^

For example, if you're preparing a particular line, you might find that a certain response has repeatedly caused trouble for 2400+ players. That's a very different kind of information from an engine evaluation.

make this a blog post dude

@atulya000 said [^](/forum/redirect/post/EbQTBX2R) > For example, if you're preparing a particular line, you might find that a certain response has repeatedly caused trouble for 2400+ players. That's a very different kind of information from an engine evaluation. make this a blog post dude

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