лито — CS2 Stats

US76561198285569130[U:1:325303402]Steam profile ↗✓ No bans

1,683Tracked matches50%Win rate2020Tracked since

2,307Hours in CS7Hrs last 2 wks

CSDB Rating7.0 StrongAggressive Rifler

Premier CS Rating24,884Top 50% of 819 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)

CSDB Leaderboard#1964 of 10908 tracked

FaceitLevel 8 · 1,610 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim89

Positioning57

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateLWWWTWLLWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.9

Aggression9.0

Utility6.6

Positioning5.7

Opening Duels4.3

Clutch4.2

Sharp aimer

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 jL 96% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Aim8.9

Positioning5.7

Utility6.6

Mechanics7.4

Opening Duels4.3

Win Impact5.0

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time520ms−59ms

first ⅓ avg 579ms → last ⅓ avg 520ms

Headshot accuracy20.3%−0.4%

first ⅓ avg 20.7% → last ⅓ avg 20.3%

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

0.13Best rating — dust2 13–5

13–0Biggest win — mirage

5Longest win streak

9–5In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 80% over 5infernoWeakest map · 32% over 22

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	26	16–10	62%	0.01
inferno	D	22	7–15	32%	-0.00
mirage	C	20	8–12	40%	0.01
ancient	B	17	9–8	53%	0.00
anubis	C	7	3–4	43%	-0.00
nuke	S	5	4–1	80%	0.03
cache	—	3	1–2	33%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,233Lifetime kills

1.14K/D · Top 50% of Pink band

2,967Matches

48.0%Match win rate · Top 50% of Pink band

49.3%Headshot % · Top 50% of Pink band

15.8%Shot accuracy · Top 50% of Pink band

7,710MVPs

1,271Hours (in match)

3,855Bombs planted

793Bombs defused

Most-used weapons

AK-4716,553

M4A4 / M4A1-S10,790

AWP7,119

Desert Eagle6,383

P2000 / USP-S3,414

P2502,955

SSG 082,502

Glock-182,369

MP91,756

MAC-101,565

Lifetime map wins

8,196dust2

5,400inferno

1,382nuke

901train

503italy

444vertigo

363office

227cbble

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

Faceit stats

Combat

182Matches

58%Win rate

1.32Avg K/D

89.0ADR

47%Headshot %

Clutches & streaks

41%1v1 clutch win

35%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	25	72%	1.26	17.4
Inferno	18	67%	1.45	18.2
Mirage	17	53%	1.10	16.4
Ancient	7	57%	1.00	13.7
Overpass	4	50%	0.83	16.3
Anubis	4	50%	0.75	12.3
Train	3	33%	1.44	23.3
Nuke	2	100%	2.00	18.0

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.

20.3%Headshot accuracy

40.0%Accuracy (enemy spotted)

40.7%Spray accuracy

83.5%Counter-strafing

8.5°Preaim

517msReaction time

41.5%T opening success

52.9%CT opening success

0.65Enemies flashed / flash

10.3%Flash assists

9.01HE damage / grenade

10.99Flashes / match

Recommended for you

Spend your practice time on Inferno

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

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	5–13	0.04	16%	28 Aug →
anubis	13–5	0.08	23%	28 Aug →
dust2	13–8	-0.01	20%	27 Aug →
dust2	13–10	0.02	22%	26 Aug →
mirage	15–15	-0.01	20%	25 Aug →
dust2	13–9	0.01	24%	16 Aug →
ancient	8–13	-0.02	21%	16 Aug →
ancient	7–13	0.05	23%	15 Aug →
ancient	13–5	0.08	13%	15 Aug →
inferno	10–13	0.01	29%	15 Aug →
mirage	8–13	0.04	24%	14 Aug →
mirage	13–11	0.01	18%	9 Aug →
mirage	15–15	0.05	19%	9 Aug →
ancient	9–13	-0.02	26%	9 Aug →
inferno	13–5	0.05	20%	9 Aug →
ancient	13–11	-0.03	13%	9 Aug →
dust2	13–1	-0.01	16%	9 Aug →
inferno	11–13	-0.00	21%	9 Aug →
ancient	10–13	0.04	14%	8 Aug →
anubis	5–13	-0.05	23%	2 Aug →
ancient	13–4	-0.03	16%	2 Aug →
dust2	13–6	0.04	16%	2 Aug →
inferno	8–13	0.01	25%	2 Aug →
nuke	13–3	0.07	17%	2 Aug →
ancient	13–5	0.03	18%	2 Aug →
ancient	11–13	-0.01	25%	2 Aug →
ancient	5–13	-0.03	13%	28 Jul →
mirage	3–13	0.00	26%	28 Jul →
inferno	7–13	-0.02	17%	28 Jul →
cache	13–2	0.08	31%	26 Jul →
nuke	10–13	0.02	23%	26 Jul →
inferno	13–9	-0.03	17%	26 Jul →
dust2	8–13	0.04	22%	25 Jul →
ancient	13–8	0.02	20%	25 Jul →
inferno	15–15	0.02	20%	25 Jul →
inferno	13–7	-0.03	21%	23 Jul →
dust2	9–13	-0.00	30%	23 Jul →
dust2	13–3	0.09	17%	22 Jul →
anubis	4–13	0.01	22%	22 Jul →
mirage	0–13	-0.04	33%	21 Jul →
mirage	13–6	0.11	23%	21 Jul →
dust2	10–13	0.03	21%	20 Jul →
cache	13–16	-0.05	32%	20 Jul →
ancient	0–8	-0.01	0%	20 Jul →
mirage	0–13	0.00	33%	20 Jul →
ancient	13–9	-0.03	19%	20 Jul →
dust2	13–10	0.08	23%	20 Jul →
mirage	13–5	0.03	21%	20 Jul →
dust2	13–8	0.03	27%	20 Jul →
inferno	6–13	-0.01	20%	19 Jul →
ancient	13–11	-0.00	6%	19 Jul →
inferno	13–8	0.06	24%	19 Jul →
mirage	7–13	-0.02	26%	19 Jul →
mirage	10–13	0.08	16%	19 Jul →
dust2	7–13	0.02	20%	19 Jul →
inferno	13–5	-0.06	33%	17 Jul →
anubis	4–13	-0.01	24%	17 Jul →
inferno	0–2	-0.09	0%	17 Jul →
cache	11–13	0.02	18%	17 Jul →
dust2	13–11	0.04	32%	16 Jul →
anubis	7–13	-0.07	20%	16 Jul →
dust2	9–13	-0.02	37%	16 Jul →
inferno	10–13	-0.02	30%	16 Jul →
inferno	13–3	0.01	33%	14 Jul →
mirage	6–13	-0.03	13%	14 Jul →
mirage	13–11	-0.05	11%	13 Jul →
anubis	13–7	-0.02	23%	13 Jul →
inferno	5–13	-0.03	13%	13 Jul →
inferno	6–13	0.04	20%	13 Jul →
mirage	13–0	-0.01	24%	12 Jul →
inferno	8–13	0.02	33%	12 Jul →
dust2	13–4	-0.01	13%	12 Jul →
inferno	8–13	-0.01	27%	12 Jul →
dust2	14–16	0.01	23%	12 Jul →
inferno	6–13	0.03	31%	10 Jul →
dust2	13–5	0.13	22%	10 Jul →
ancient	13–8	0.02	17%	10 Jul →
anubis	13–8	0.03	21%	9 Jul →
dust2	13–3	-0.01	33%	9 Jul →
nuke	13–5	-0.02	21%	28 Jun →
mirage	6–13	-0.05	11%	28 Jun →
inferno	13–4	0.02	19%	27 Jun →
dust2	1–13	-0.09	27%	27 Jun →
inferno	10–13	0.04	7%	27 Jun →
dust2	5–13	-0.04	19%	27 Jun →
dust2	15–15	0.02	21%	27 Jun →
dust2	13–10	-0.00	18%	27 Jun →
mirage	13–10	0.03	11%	24 Jun →
nuke	16–13	0.04	19%	24 Jun →
mirage	13–7	0.06	12%	24 Jun →
mirage	13–11	-0.04	17%	23 Jun →
mirage	15–15	0.06	19%	17 Jun →
nuke	13–10	0.02	33%	15 Jun →
dust2	13–10	-0.03	22%	15 Jun →
ancient	8–13	-0.03	18%	15 Jun →
dust2	16–14	0.02	24%	15 Jun →
dust2	13–11	0.04	24%	14 Jun →
inferno	1–13	-0.07	38%	14 Jun →
ancient	13–11	-0.01	14%	13 Jun →
dust2	12–16	-0.06	13%	11 Jun →