Loading games ...
New game

Latest search

   vs  

Stockfish main line

Date:  
Site:  
Event:  
Round:  
Eco:

📋 Games Table Overview

Armageddon Chess Database

BIG DB Version: 1.0

💾 Settings are saved locally in your browser. No cookies, no personal data.

Date Range

💡 Tip: From 1475 to 1950 we have a total of games around 200 000. then the number of games increases exponentially; and you can see the graph here:

Collection / Event

💡 Tip: Searching by "Collection / Event" is equally fast regardless of the selected time span. However, if you've searched by a collection, the autocomplete is NOT linked to the date range, and if you get "0 games found" you can set the time span to cover the full range — it won’t significantly affect the search speed.

Player Filters

💡 Tip: To ensure accurate player name suggestions, please select a timespan of 100 years or less for years before 1970. For contemporary periods, consider choosing a narrower timespan to speed up searches.


78%


ECO Code Range
Opening Name

💡 Tip: Searching by ECO code x–x should be fast across the entire date range, but just like with time span searches, the response time increases with the size of the range. For example, a search spanning C00–E99—which is a very large range—is best performed by significantly narrowing the time period. Naturally, smaller ranges are faster, and for a search like C67–C67, the time span should have little to no noticeable impact.

Current pieceset:


  Note:Submit this form with the pieces chosen


Choose a single year or an era (for example the years of Kasparov being a World Champion, or the era of the Cold War). Note: this submits the search

World-ch27 Fischer-Spassky +7-3=11

White wins

25 %

Draws

55 %

Black wins

20 %

No result: 0 %

20 games found

© armageddonpop.se 2026 All rights reserved.

How to search in the database

Introduction
Search by ECO code
Search by Event
Search by Player
Search by Move 
Load a single year
Stockfish
Load own game
Latest search box
Voice and Pieces
Download

⚠️ Stockfish Analysis in Your Browser

When you run Stockfish directly in your browser (via stockfish.js and a Web Worker), the analysis runs entirely on your local machine, using a single CPU core and no GPU acceleration. While this setup is technically impressive, there are key differences compared to using Stockfish inside a dedicated GUI like ChessBase, SCID, or lichess:

🔍 Key Differences

  • Processing Power: The browser-based engine uses only one CPU core. Unlike native applications, no GPU or multi-threading is utilized.
  • Limited Resources: Your browser restricts memory and CPU usage per tab. Long analysis sessions can lag or even stall the engine.
  • Slower Responsiveness: The engine might respond with a delay, especially if the page is running other scripts or animations.

🎬 Autoplay Warning

If you enable autoplay while Stockfish is analyzing each position in real-time, your system will be heavily taxed. For smooth performance, you should have:

  • A modern CPU (e.g., Intel i7/i9, AMD Ryzen)
  • Minimal background activity
  • An up-to-date browser (Chrome, Firefox, Edge)

Tip: If the evaluation bar lags behind or skips moves, pause autoplay or lower the analysis depth.

✅ Important Clarification

The quality of variations suggested by Stockfish is exactly the same as in a powerful local GUI. The only difference is speed — it simply takes longer to reach the same depth in the browser environment. This is not a “lite” version of Stockfish; it’s the same engine, just running with fewer resources.

Stockfish 💻 Autostart Engine
Waitning for Stockfish...





1475 – 2050
Performance in %
Loading PLAYER PERFORMANCE
Players score
Loading PLAYER DATA
Success rate in percent per ECO code
Loading ECO SCORE DATA