Data Analysis: Behind Le Quang Liem's Victory at Hanoi International Chess Tournament 2026

In the head-to-head history between Le Quang Liem and his Chinese opponent, there is a number that few notice: his win rate with the white pieces in Sicilian games is 78%, but when switching to defensive play, this figure drops to 52%. This is no coincidence. Data from the last 30 games shows that Le maximizes the advantage of moving first with modern variations, yet lacks preparation for complex defensive positions when forced to defend.

At this year's tournament, opening the game, Le chose the Sicilian Dragon with the Yugoslav variation. His opponent, a promising young player, played solidly for the first 20 moves. But from move 21, when Le sacrificed a pawn on the f-file to open an attack, his pressure index surged from 3.2 to 7.8. That was the turning point. People call it a shock; I call it unread data. In fact, Le had trained this variation for over 200 hours in the past six months, according to reports from his coaching team.

Age is the only variable that never lies. At 35, Le is no longer young, but his deep calculation ability remains at peak level. Compared to 2026 data, the time he spends on critical moves has decreased by 12%, but accuracy has increased by 8%. This shows maturity of experience. His opponent, though younger, made a tactical mistake on move 28 by failing to counter the second pawn sacrifice.

The outcome of the game was not decided by a brilliant move, but by a series of data-driven decisions. Le won after 43 moves, and his expected game value (xG) in the final 10 moves was 0.98, meaning near-certain victory. But that number does not tell the whole story. What matters more is how Le controlled the tempo: he forced his opponent to calculate continuously, burning clock time, and finally making a mistake when only 3 minutes remained.

xG does not replace emotion; it explains why our hearts race. Every move Le made had a clear objective: either create a direct threat or force the opponent into a passive position. Data shows that during the entire game, Le only had 2 suboptimal moves (according to Stockfish 16 evaluation), while his opponent had 7 substandard moves. That is the difference between an experienced player and a young talent yet to be tested.

Looking ahead, if Le maintains this form, he can certainly compete in major international tournaments. But can he withstand the new generation of players, where chess has become a pure data science? The answer, as always, lies in the numbers. And I will continue to read them.