Dakota Dixon vs Andrew Tang
116. US Open 2015, 2015 · Result 1–0 · King's Indian Defense: Orthodox Variation, Classical System, Benko Attack (E99).
Turn this game into your next win
Replay Dakota Dixon vs Andrew Tang with deep analysis, save the moments that matter, fold the ideas into your own opening repertoire, and drill the positions until they're second nature. CipherChess turns the games you study into the results you get — free to start.
Start Free on CipherChessMore Games By These Players
Game details
- White
- Dakota Dixon (2076)
- Black
- Andrew Tang (1493)
- Result
- 1–0
- Event
- 116. US Open 2015
- Year
- 2015
- Opening
- King's Indian Defense: Orthodox Variation, Classical System, Benko Attack (E99)
About this chess game
This chess game between Dakota Dixon (2076) and Andrew Tang (1493) was played at 116. US Open 2015 in 2015 and finished 1–0. The opening was the King's Indian Defense: Orthodox Variation, Classical System, Benko Attack (E99). You can replay the full game move by move on the interactive board above, or open it on the CipherChess analysis board to study every move with the Stockfish engine.
Looking for more Dakota Dixon games or Andrew Tang games? This Dakota Dixon vs Andrew Tang encounter is one of millions of chess games indexed in the CipherChess mega database. Browse both players' full records, the openings they play most, and head-to-head results, then load any game onto the board to prepare your own lines against the King's Indian Defense: Orthodox Variation, Classical System, Benko Attack.
Frequently asked questions
Who won Dakota Dixon vs Andrew Tang?
Dakota Dixon vs Andrew Tang (2015) finished 1–0, a win for Dakota Dixon.
What opening was played in Dakota Dixon vs Andrew Tang?
The game opened with the King's Indian Defense: Orthodox Variation, Classical System, Benko Attack (ECO E99).
Can I replay this chess game move by move?
Yes. Use the interactive board on this page to step through every move of Dakota Dixon vs Andrew Tang, or open it on the CipherChess analysis board to review it with the Stockfish engine.