Laki — CS2 Stats

76561199347858310[U:1:1387592582]Steam profile ↗✓ No bans

572Tracked matches37%Win rate2023Tracked since

943Hours in CS1Hrs last 2 wks

CSDB Rating3.7 Learning

WingmanMaster Guardian I

Ladder ranks via Leetify

Performance scores

Aim34

Positioning38

Utility58

0–100 skill scores via Leetify.

Recent form

COLD51–42–7Last 10051%Win rateLWLLLWLLLW

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Aim3.4

Aggression2.2

Utility5.8

Positioning3.8

Opening Duels0.0

Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like NiKo 73% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 653ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim3.4

Positioning3.8

Utility5.8

Mechanics6.9

Opening Duels0.0

Win Impact0.6

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time651ms+27ms

first ⅓ avg 624ms → last ⅓ avg 651ms

Headshot accuracy12.7%−0.1%

first ⅓ avg 12.8% → last ⅓ avg 12.7%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.12Best rating — dust2 13–7

13–1Biggest win — ancient

6Longest win streak

10–4In matches decided by ≤2 rounds

4Overtime games

Map breakdown

mirageBest map · 69% over 16anubisWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	20	10–10	50%	0.01
dust2	S	20	13–7	65%	0.00
mirage	S	16	11–5	69%	-0.01
inferno	A	14	8–6	57%	-0.01
anubis	D	14	4–10	29%	0.00
office	C	5	2–3	40%	-0.04
nuke	—	4	1–3	25%	0.04
overpass	—	3	1–2	33%	-0.06
vertigo	—	2	0–2	0%	-0.05
cache	—	1	0–1	0%	-0.03
warden	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,431Lifetime kills

0.91K/D

1,449Matches

45.8%Match win rate

44.5%Headshot %

1.4%Shot accuracy

2,838MVPs

502Hours (in match)

1,854Bombs planted

361Bombs defused

Most-used weapons

AK-477,413

M4A4 / M4A1-S3,503

MP91,355

Glock-18878

P2000 / USP-S834

MAC-10820

AWP742

Desert Eagle560

Galil AR531

XM1014448

Lifetime map wins

2,557inferno

1,524office

1,477dust2

861vertigo

588nuke

181italy

135lake

98train

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

2Matches

0%Win rate

0.74Avg K/D

65.9ADR

34%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1	0%	0.76	13.0
Inferno	1	0%	0.71	10.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.6%Headshot accuracy

26.6%Accuracy (enemy spotted)

29.4%Spray accuracy

81.2%Counter-strafing

11.5°Preaim

653msReaction time

30.1%T opening success

20.4%CT opening success

0.51Enemies flashed / flash

5.7%Flash assists

11.58HE damage / grenade

6.76Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.6085% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 30.1243% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	4–13	-0.02	16%	27 Aug →
inferno	13–11	0.06	11%	12 Aug →
mirage	4–13	-0.02	26%	12 Aug →
anubis	4–13	-0.01	6%	12 Aug →
cache	2–13	-0.03	13%	12 Aug →
mirage	13–11	-0.04	16%	11 Aug →
ancient	10–13	-0.04	16%	3 Aug →
dust2	5–13	-0.06	12%	3 Aug →
mirage	8–13	-0.03	2%	3 Aug →
mirage	16–14	-0.02	10%	24 Jul →
ancient	13–5	0.11	15%	18 Jul →
ancient	8–13	-0.02	13%	18 Jul →
anubis	12–16	-0.00	14%	12 Jul →
inferno	5–13	-0.09	6%	12 Jul →
office	3–13	-0.02	15%	9 Jul →
office	13–9	0.02	11%	9 Jul →
ancient	6–1	0.01	7%	6 Jul →
dust2	13–5	-0.00	25%	30 Jun →
dust2	13–10	0.01	15%	30 Jun →
anubis	3–13	0.06	11%	25 Jun →
nuke	8–8	-0.02	11%	20 Jun →
dust2	13–3	0.08	17%	17 Jun →
mirage	13–5	0.03	12%	7 Jun →
overpass	6–13	-0.09	9%	7 Jun →
ancient	10–13	-0.07	12%	7 Jun →
ancient	13–11	-0.03	9%	7 Jun →
dust2	6–13	0.04	12%	7 Jun →
dust2	6–13	-0.07	11%	7 Jun →
inferno	3–13	-0.04	16%	7 Jun →
ancient	7–13	0.01	15%	7 Jun →
vertigo	8–8	-0.07	16%	6 Jun →
inferno	9–6	-0.04	14%	6 Jun →
anubis	10–13	-0.03	7%	6 Jun →
dust2	13–7	-0.04	9%	5 Jun →
vertigo	7–13	-0.04	8%	5 Jun →
inferno	13–10	0.01	10%	24 May →
dust2	13–10	0.02	17%	22 May →
dust2	13–6	-0.02	7%	22 May →
inferno	7–9	-0.02	11%	19 Apr →
nuke	13–4	0.09	17%	19 Apr →
ancient	13–8	0.05	16%	19 Apr →
ancient	13–4	0.02	17%	11 Apr →
ancient	13–9	-0.01	17%	11 Apr →
mirage	13–6	-0.05	23%	11 Apr →
anubis	8–13	0.03	8%	5 Apr →
inferno	9–5	-0.03	13%	5 Apr →
dust2	12–12	-0.03	9%	5 Apr →
ancient	12–12	0.03	14%	19 Mar →
anubis	13–2	-0.03	0%	19 Mar →
inferno	13–8	-0.07	15%	19 Mar →
inferno	13–6	-0.03	18%	14 Mar →
mirage	6–13	-0.00	14%	14 Mar →
office	8–13	-0.09	9%	14 Mar →
anubis	13–4	0.07	20%	13 Mar →
dust2	13–9	-0.04	15%	13 Mar →
mirage	13–11	0.03	24%	12 Mar →
inferno	3–13	-0.02	23%	12 Mar →
ancient	12–12	-0.01	20%	12 Mar →
inferno	13–11	-0.00	16%	28 Feb →
ancient	13–4	-0.01	18%	28 Feb →
ancient	5–12	0.09	18%	28 Feb →
anubis	3–13	-0.05	7%	28 Feb →
ancient	8–13	-0.01	15%	28 Feb →
mirage	13–6	0.04	16%	25 Feb →
inferno	9–13	0.03	8%	17 Feb →
dust2	13–7	0.12	14%	17 Feb →
inferno	8–13	0.04	7%	17 Feb →
mirage	16–14	-0.01	14%	17 Feb →
dust2	11–13	-0.02	11%	16 Feb →
anubis	11–13	0.00	10%	16 Feb →
mirage	5–13	-0.06	5%	16 Feb →
nuke	15–15	0.04	8%	15 Feb →
mirage	3–13	-0.10	19%	15 Feb →
dust2	13–10	0.01	10%	15 Feb →
mirage	13–10	0.02	9%	15 Feb →
anubis	5–13	-0.00	9%	15 Feb →
office	12–12	-0.08	16%	15 Feb →
anubis	13–9	0.03	10%	15 Feb →
dust2	13–6	0.02	16%	15 Feb →
overpass	13–8	-0.02	3%	15 Feb →
dust2	13–5	0.08	14%	14 Feb →
mirage	13–11	0.02	11%	14 Feb →
ancient	3–13	-0.03	24%	14 Feb →
anubis	6–13	0.01	4%	13 Feb →
warden	13–11	-0.04	9%	13 Feb →
dust2	5–13	-0.04	17%	13 Feb →
mirage	13–7	0.03	15%	12 Feb →
ancient	13–5	0.04	11%	12 Feb →
anubis	8–13	-0.04	9%	12 Feb →
anubis	13–9	-0.00	13%	12 Feb →
office	13–11	-0.03	16%	29 Jan →
dust2	3–13	-0.04	11%	22 Jan →
nuke	11–13	0.03	15%	18 Jan →
overpass	1–7	-0.08	10%	18 Jan →
ancient	13–1	-0.01	27%	18 Jan →
dust2	13–6	0.08	27%	18 Jan →
dust2	13–8	-0.02	20%	18 Jan →
mirage	13–9	-0.04	9%	18 Jan →
ancient	13–3	0.07	12%	18 Jan →
inferno	13–1	0.07	10%	18 Jan →