Equisetum - UCI chess engine written in C++11, by Rhys Rustad-Elliott and Litov Alexander
Rating Chess Engines Diary CEDR=3488
Equisetum uses Fail-Hard AB-search and NNUE evaluation. This approach resulted in an engine of moderate strength. One of the few strong engines using a fail-hard approach
Equisetum uses an NNUE (efficiently updatable neural network) as an evaluation function.
## Strength
Current Equisetum is estimated to be somewhere before Stockfish 11 and Stockfish 12 strength.
Equisetum 1.15 JA vs other engines:
| Arasan 25.0 | 10/16 | +4 | 16 Games |
| Texel 1.12 | 7/14 | +0 | 14 Games |
| Patricia 4.0 | 8.5/12 | +5 | 12 Games |
| Fire 10 | 7/12 | +2 | 12 Games |
| Sting Black Hole 8 | 10/10 | +10 | 10 Games |
| Lizard 11.1.5 JA | 8/10 | +6 | 10 Games |
| Clarity 7.2.0 JA | 6/10 | +2 | 10 Games |
| Uralochka 3.42 dev7 | 4/10 | -2 | 10 Games |
| Toad 3.0.0 JA | 8/8 | +8 | 8 Games |
| Fatalii 0.8.0 | 8/8 | +8 | 8 Games |
| Critter 1.6a | 7.5/8 | +7 | 8 Games |
| Lizard 11.2 | 2.5/8 | -3 | 8 Games |
| Horsie 1.0 | 2/8 | -4 | 8 Games |
| EveAnn 3.0 | 5.5/6 | +5 | 6 Games |
| Akimbo 1.1.0 JA | 2.5/6 | -1 | 6 Games |
| Berserk 13 | 2.5/6 | -1 | 6 Games |
| SF-PRO 27.12.2024 | 2.5/6 | -1 | 6 Games |
| Private19sf | 2.5/6 | -1 | 6 Games |
| PlentyChess 3.0.1 | 2/6 | -2 | 6 Games |
| Stockfish 20241222 | 2/6 | -2 | 6 Games |
| SugaR AI 2.70 | 2/6 | -2 | 6 Games |
Jim Ablett compiles:
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