Chess Engine Nations Cup — National Superfinals Series

[Zigoto]

Hi, a candidate for a Brazilian Superfinal: Caipora 3.8, an original UCI NNUE engine from Brazil, written from scratch in Rust, public and GPL-3.0: https://github.com/ComputecOrg/caipora/ ... s/tag/v3.8 (Windows and Linux builds, network embedded).

Brazil also has Tucano, so the country may now qualify with two engines. Our own estimate puts Caipora at about 3600 on the CCRL Blitz scale (gauntlet against Stash 33 and 37), and an independent test by Sylwy here on TalkChess (4'+2", still in progress) has it at 31/42 in a field that includes Shredder 14 and HIARCS 15.4. Both are only early numbers, of course.

Transparency note: the code is written by Claude Code (AI) under my direction, as declared in AI_USAGE.md in the repository.

If it qualifies on your list, a Caipora vs Tucano Superfinal would be a lot of fun to watch. Thanks for running the series!

[goni-K26]

Hi Zigoto,
Thank you for your interest and for suggesting Caipora!
It looks like a very promising project with strong early numbers.
However, Caipora cannot be included in the Chess Engine Nations Cup for two reasons based on my tournament rules:
1. Eligibility Rules: According to my entry criteria, a country needs at least two qualifying engines on my personal rating list (built from a 1.85M+ game database).
For Brazil, the gap between #2 (Minke) and #3 (Tucano) was larger than 70 Elo.
According to rule [3b], this triggered a direct Superfinal between Cinder and Minke, meaning the Brazilian cycle for this series is already officially finalized and closed.

2. AI Usage Policy: As explicitly stated in your repository's AI_USAGE.md, the source code for Caipora is written by an AI coding agent (Claude Code).
My testing framework is strictly dedicated to evaluating and ranking human-written chess software architectures.
For this reason, I do not include or test engines that rely on AI-generated source code.

Also, I apologize for previously testing Coda Chess Engine in my database, as I wasn't aware at the time that it was an AI-assisted project.
Thanks again for the transparency regarding your development process, and I appreciate you following the series!
Best regards,
Agron Kovaci (goni-K26).

[goni-K26]

Ukraine SUPERFINAL

Ukraine brought together two engines with strong European pedigree: Igel 3.8.0 and Booot 7.4. Both are well-known in the testing community, but over 300 games at 9s+0.1s the gap turned out to be enormous. Igel was simply on another level — clinical from both sides of the board, winning in bulk and barely dropping a game.

Standings

Code: Select all

+------+---------------------------+--------+-------+----------+-----------+--------+--------+
| Rank | Name                      | Points | Games | Live Elo | Start Elo |    +/- | Score% |
+------+---------------------------+--------+-------+----------+-----------+--------+--------+
|    1 | Igel 3.8.0 x64(BMI2-5Pct) |  205,5 |   300 |   2918,7 |    2786,0 | +132,7 |  68,5% |
|    2 | Booot 7.4 x64(BMI2-5Pct)  |   94,5 |   300 |   2573,3 |    2706,0 | -132,7 |  31,5% |
+------+---------------------------+--------+-------+----------+-----------+--------+--------+

205.5 out of 300 — that is 68.5%, one of the most dominant Superfinal performances in the entire CENC series. Igel lost only 6 games across the full match. As White: 75W 73D 2L — as Black: 42W 104D 4L. Booot had no answer from either colour.

Head to Head

Code: Select all

+----+---------------------------+---------------------------+-----+------+------+------+--------+
| No | Name                      | Opponent                  | Win | Loss | Draw | Game | Score% |
+----+---------------------------+---------------------------+-----+------+------+------+--------+
|  1 | Igel 3.8.0 x64(BMI2-5Pct) | Booot 7.4 x64(BMI2-5Pct)  | 117 |    6 |  177 |  300 | 68,50% |
|  2 | Booot 7.4 x64(BMI2-5Pct)  | Igel 3.8.0 x64(BMI2-5Pct) | 6   |  117 |  177 |  300 | 31,50% |
+----+---------------------------+---------------------------+-----+------+------+------+--------+

Statistics: 300 Games Played | White Wins 79(26,33%) | Black Wins 44(14,67%) | Draws 177(59,00%)
________________________________________________________________________________
Ukraine — National Champion: ♛ Igel 3.8
_____________________________________________________