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CYHSM
chess-surprise-analysis
Jupyter Notebook2016–2023
CYHSM / chess-surprise-analysis

chess-surprise-analysis

Find surprising moves in chess games

3Distinct people
5Mentions
0Explicit recommenders
180GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Find surprising moves in chess games

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year5 dated mentions

Observed mentions: 2016-12-14 00:47:40 UTC to 2023-01-12 14:24:59 UTC.

0122016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 2 submissions, 0 comments2023

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC110
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC110
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC110
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC220

What Hacker News says

5 sources
CYHSM·Jan 12, 2023Submission

Show HN: New Visualizations for Chess Enthusiasts

Hello HackerNews, I'm happy to share my newest analysis video of the recent Chess game between Magnus Carlsen and Nodirbek Abdusattorov in the World Blitz 2022 Link: https://www.youtube.com/watch?v=bMV0GY-Sicw I had previously put out some videos in a similar style on the channel but wanted to see how far I can get the visualizations and how much I can automate it with python. The biggest time sink when creating these videos is adjusting the individual parts of the video using matplotlib, which I can mostly reuse across videos. Here is what I show in the video beside the chessboard: The bottom visualization shows the engine evaluation across different depths, which allows you to (1) follow the engine evaluation of the game and (2) compare evaluations across depths to find surprising moves (which I originally implemented for this repo: htt
Read the rest
ps://github.com/CYHSM/chess-surprise-analysis). The right lineplot indicates the number of games which have previously reached the highlighted position. This allows you to see when a completely new game starts (Thanks Agadmator) with steep drops indicating more exotic lines. The title in the plot also indicates the opening name, for as long as they are identified. Please let me know what you think and if I should upload more videos in the same style.
2 points · Open discussion
CYHSM·Jan 12, 2023Submission

Show HN: New Visualizations for Chess Enthusiasts (Link only)

Hello HackerNews, I'm happy to share my newest analysis video of the recent Chess game between Magnus Carlsen and Nodirbek Abdusattorov in the World Blitz 2022. I had previously put out some videos in a similar style on the channel but wanted to see how far I can get the visualizations and how much I can automate it with python. The biggest time sink when creating these videos is adjusting the individual parts of the video using matplotlib, which I can mostly reuse across videos. Here is what I show in the video beside the chessboard: The bottom visualization shows the engine evaluation across different depths, which allows you to (1) follow the engine evaluation of the game and (2) compare evaluations across depths to find surprising moves (which I originally implemented for this repo: https://github.com/CYHSM/chess-surprise-analysis). T
Read the rest
he right lineplot indicates the number of games which have previously reached the highlighted position. This allows you to see when a completely new game starts (Thanks Agadmator) with steep drops indicating more exotic lines. The title in the plot also indicates the opening name, for as long as they are identified. Please let me know what you think and if I should upload more videos in the same style.
3 points · Open discussion

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