=========================================
...................Waterloo..................

Match conditions:
-TC=4'+2"
-Hash=256 MB
-GUI: Arena 3.5.1
-Book: SuperGM_4mvs.abk (8 plies book) (only for Stockfish_23040114_x64_bmi2)
-1 thread-CPU=Intel i5-7400-3GHz (Kaby Lake)
-TBS: 6-men Syzygy bases for both engines
-NNs: defaults (Stockfish_23040114_x64_bmi2 uses the new nn-dabb1ed23026.nnue net; Dark SisTer 4.6 bmi2 uses the SF net:
nn-52471d67216a.nnue)
-Dark SisTer 4.6 bmi2 uses a special experience file
-Ponder: off
-OS: Windows 10 Home.
The final result:


+0 -16 =84
+56 Elo points in 100 games for Dark SisTer 4.6 bmi2
A sample (interesting):
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Disclaimer
==========
The architecture of a chess engine is a choice of its programmer(s). If chess engines can (or can't) use:
-endgame databases (Syzygy, Gaviota, Nalimov, various bitbases...);
-evaluation based on 1-n data accumulators (NNUEs, NNs, DCNNs) or HCE;
-experience files;
-internal or external books;
-etc, etc, etc......
does not imply unfairness in matches/tournaments. Each chess engine programmer achieves what he wants, given the skills he
has.