Chess Stalker — Free Chess Opponent Analysis

Analyze any Lichess, Chess.com or FIDE player's openings, weaknesses, blunder patterns and psychological profile. Train against a Twin Bot that replicates your opponent's style. Search by username or FIDE ID across 11 million+ games. Free to use, no signup required.

What you get

Opponent weakness analysis — opening repertoire, common blunders, time pressure patterns
Twin Bot — practice against an AI clone of your opponent's exact playing style
FIDE OTB database — 11 million+ tournament games and 1.7 million+ rated players
Stockfish-powered analysis with depth-25 evaluations
Multi-platform: Lichess, Chess.com, and FIDE in one place
Head-to-head comparison, Nemesis detection, Stalker Score

How it works

Search any Lichess, Chess.com username or FIDE player
Get instant scouting report with weaknesses and patterns
Prepare your strategy and practice against the Twin Bot

GM

Nakamura, Hikaru

#2 World

USA USA·Born 1987·FIDE #2016192·9,745 Games

Classical27927,885 Games

Rapid2742723 Games

Blitz28381,200 Games

Statistics

9745

Total

5472

Wins

2805

Draws

1465

Losses

56%29%15%

Play Style

What you need to know before facing them

Elite accuracy: 93.8% average

High resilience (67%): Dangerous even when losing

Solid conversion: 93%

Very consistent (89%)

Very precise: only 0.1 blunders/game

Dominates 1.h3 ♔ (96% in 35 games)

Deep Analysis

Stockfish 18 · Classical games · 2,670 analyzed

Accuracy by phase

Opening96.0%

Middlegame93.8%

Endgame95.5%

Clutch Factor

Performance under pressure

+4%

Winning (+2 or more)95%

184 Games

Equal position96%

254 Games

Losing (-2 or more)91%

62 Games

Problematic Pieces

Which pieces cause most errors?

♖

22%

53 errors

♙

21%

51 errors

♕

16%

39 errors

♗

15%

36 errors

♞

13%

32 errors

♔

11%

27 errors

Critical Moment

When does the first serious error occur?

Move 37average

1-15

16-25

26-35

36-45

46+

40% of blunders occur between move 26-35. Keep tension until that moment.

Error Heatmap

Where do most errors occur?

8

7

7

8

7

7

7

8

7

10

abcdefgh

Many

Few

Critical squares

b310 err

d88 err

e58 err

f48 err

a37 err

b3/d8 concentrate most errors. Force decisions in those zones.

Recent Games

L

Ter-Sahakyan, Samvel2613

Titled Tue 26th May 2026 · 26 May 2026

0-1

W

Vlassov, Nikolai2322

Titled Tue 26th May 2026 · 26 May 2026

1-0

W

Negrean, Andrei2353

Titled Tue 26th May 2026 · 26 May 2026

0-1

L

Dau Khuong Duy2521

Titled Tue 26th May 2026 · 26 May 2026

0-1

W

Rustemov, Alexander2525

Titled Tue 26th May 2026 · 26 May 2026

0-1

W

Ibarra Jerez, Jose Carlos2533

Titled Tue 26th May 2026 · 26 May 2026

1-0

Openings

Based on player games

Weaknesses

EXPLOIT!

White

No significant weaknesses detected as White

Black

Grünfeld

69.2%

13 Games·Loses

1.d4 Nf6 2.c4 g6 3.Nc3 d5

London System

66.7%

12 Games·Loses

1.d4 Nf6 2.Bf4 d5

Strengths

AVOID

White

1.h3 d5 2.d4 Nf6

100.0%

10 Games·Wins

1.h3 d5 2.d4 Nf6

1.g3 d5 2.Bg2 Nf6

92.9%

14 Games·Wins

1.g3 d5 2.Bg2 Nf6

Black

Reti: KIA

60.0%

50 Games·Wins

1.Nf3 d5 2.g3 g6

Sicilian: e6 Systems

53.3%

92 Games·Wins

1.e4 c5 2.Nf3 e6

Critical Blunders

Tactical errors analyzed with Stockfish

10 errors

▶

#8Bg4??

Tactics

vs Martinez Alcantara

OTB·2026

▶

#27Nxf4??

Tactics

vs Xiong

OTB·2026

▶

#20Bxh6??

Tactics

vs Deac

OTB·2026

▶

#99Kf5??

Endgame

vs Caruana

OTB·2026

▶

#33Kg7??

Tactics

vs Pakleza

OTB·2026

▶

#30Qf4??

Tactics

vs Moosavifar

OTB·2026

▶

#64b3??

Endgame

vs Dau Khuong Duy

OTB·2025

▶

#66Kd3??

Endgame

vs Ismayilova

OTB·2025

▶

#67a5??

Endgame

vs Caruana

Rapid·2025

▶

#45h4??

Endgame

vs Gukesh D

OTB·2025

Endgame Statistics

23 endgame categories analyzed — discover where they collapse under pressure

Repertoire

☰ All

♟ Classical

⚡ Rapid

🔥 Blitz

PRO

·

2026

2025

2024

2023

2022

2021

PRO

8

7

6

5

4

3

2

1a

b

c

d

e

f

g

h

Starting Position

4919 Games

61%27%12%

Move	Games	Performance	%
1.e4	1546		69%
1.Nf3 Strong	1502		81%
1.d4	877		67%
1.b3 Strong	394		83%
1.c4 Strong	278		70%
1.g3 Strong	109		89%
1.a3 Strong	49		84%
1.h4 Strong	47		84%
1.h3 Strong	35		96%
1.b4 Strong	25		86%
1.g4 Strong	19		76%
1.f4	18		69%
1.e3 Strong	6		92%
1.a4 Strong	5		80%
1.Nc3	3		50%
1.c3 Weak	2		0%
1.f3	2		50%
1.d3 Strong	1		100%
1.Nh3 Strong	1		100%

1.e4

69%

1546

1.Nf3

81%

1502

1.d4

67%

877

1.b3

83%

394

1.c4

70%

278

1.g3

89%

109

1.a3

84%

49

1.h4

84%

47

1.h3

96%

35

1.b4

86%

25

1.g4

76%

19

1.f4

69%

18

1.e3

92%

6

1.a4

80%

5

1.Nc3

50%

3

1.c3

0%

2

1.f3

50%

2

1.d3

100%

1

1.Nh3

100%

1

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