3x s.lain

3x s.lain — CS2 Stats

RU76561198201620502[U:1:241354774]Steam profile ↗✓ No bans

335Tracked matches43%Win rate2022Tracked since
2,232Hours in CS10Hrs last 2 wks
CSDB Rating4.2 DevelopingPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 14,879 +2,388 18 Sept – 20 Nov · 24 days played
12,38716,017peak 16,01718 Sept20 Nov
16,017Peak Premier in tracked matches
46Days played since 2024-09-18

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,636), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate36.2%43.8%44.8%8.6% short
Shot accuracy15.7%12.0%12.4%above
Kill/death ratio0.891.021.030.14 short
Match win rate33.5%44.7%45.2%11.7% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG3x s.lainFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim53
Positioning43
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateWLLLWWWLWW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −6.0pp headshot accuracy · −120ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 12%
  • Avg reaction 503ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 506ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 566ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim5.3
Utility3.0
Positioning4.3
Opening Duels1.4
Clutch2.6

Limited utility dependence

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 597ms 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

Aim5.3
Positioning4.3
Utility3.0
Mechanics6.1
Opening Duels1.4
Win Impact2.8

Composite 4.2/10 (Developing), 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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time602ms−16ms
first ⅓ avg 618ms → last ⅓ avg 602ms
Headshot accuracy18.8%−2.9%
first ⅓ avg 21.7% → last ⅓ avg 18.8%

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.

Personal bests

0.08Best match rating · 13–5 · ancient, 29 Sept →
50%Best headshot accuracy · 13–4 · italy, 3 Oct →
359msFastest reaction time · 0–13 · dust2, 30 Sept →
13–3Biggest win · anubis, 7 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 69% over 16dust2Weakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA2515–1060%-0.01
infernoC218–1338%-0.04
anubisS1611–569%-0.01
ancientD133–1023%-0.03
officeC114–736%-0.01
dust2D50–50%-0.07
cache—32–167%-0.02
nuke—32–167%-0.02
overpass—11–0100%-0.08
vertigo—10–10%-0.13
italy—11–0100%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,143Lifetime kills
0.89K/D
3,551Matches
33.5%Match win rate
36.2%Headshot %
15.7%Shot accuracy · Top 25% of Level 5 players
5,876MVPs
1,190Hours (in match)
1,930Bombs planted
472Bombs defused

Most-used weapons

AWP11,222
AK-4710,646
P902,182
SG 5531,778
MP91,713
Knife1,579

Lifetime map wins

3,884dust2
2,287inferno
548office
461cbble
149nuke
129train
124safehouse
72vertigo

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

Faceit stats

Combat

66Matches
56%Win rate
0.79Avg K/D
67.2ADR
44%Headshot %

Clutches & streaks

33%1v1 clutch win
23%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis2050%0.8813.1
Mirage1953%0.7111.7
Ancient888%0.9213.6
Dust2757%0.9614.0
Inferno650%0.629.7
Nuke1100%0.9313.0

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.

18.8%Headshot accuracy
30.0%Accuracy (enemy spotted)
28.3%Spray accuracy
77.5%Counter-strafing
10.3°Preaim
597msReaction time
32.2%T opening success
39.2%CT opening success
0.50Enemies flashed / flash
2.4%Flash assists
11.13HE damage / grenade
4.07Flashes / 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.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4997 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 32.1522% — below the 40% mark we flag

Spend your practice time on Dust 2

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–7-0.0115%30 Sept →
dust20–13-0.130%30 Sept →
mirage11–13-0.0218%24 Sept →
dust210–13-0.0616%24 Sept →
inferno13–6-0.1211%24 Sept →
mirage13–10-0.0433%23 Sept →
mirage13–70.0013%23 Sept →
inferno8–130.0413%23 Sept →
cache13–11-0.0018%22 Sept →
mirage13–70.0216%22 Sept →
dust29–130.0023%22 Sept →
cache5–13-0.0328%13 Sept →
ancient14–16-0.0612%9 Sept →
ancient9–13-0.0414%7 Sept →
anubis13–30.0414%7 Sept →
mirage13–110.0532%27 Aug →
overpass13–7-0.0827%18 Sept →
inferno3–13-0.0717%23 Jul →
mirage13–50.0621%23 Jul →
office4–13-0.0223%18 Apr →
office9–13-0.0812%18 Apr →
ancient14–16-0.0118%23 Feb →
inferno6–13-0.0514%23 Feb →
ancient7–13-0.0925%23 Feb →
mirage13–50.0211%20 Feb →
anubis13–60.0118%20 Feb →
inferno9–13-0.0117%12 Feb →
ancient5–130.0039%29 Dec →
office13–100.0516%17 Dec →
inferno7–130.0128%16 Dec →
nuke5–13-0.0330%16 Dec →
inferno10–13-0.0416%20 Nov →
mirage5–13-0.0613%18 Nov →
anubis13–11-0.018%12 Nov →
mirage13–50.0329%12 Nov →
dust213–16-0.0626%11 Nov →
anubis13–16-0.0612%10 Nov →
inferno13–10-0.0338%5 Nov →
inferno10–13-0.0811%4 Nov →
anubis13–90.0111%4 Nov →
mirage8–130.0524%3 Nov →
inferno2–13-0.088%3 Nov →
mirage10–130.0121%30 Oct →
inferno2–13-0.0720%30 Oct →
anubis12–16-0.0810%30 Oct →
office13–90.0222%29 Oct →
anubis13–8-0.0124%29 Oct →
ancient13–9-0.009%29 Oct →
mirage13–70.0017%29 Oct →
ancient7–13-0.0026%28 Oct →
mirage11–130.0126%23 Oct →
inferno13–9-0.0318%20 Oct →
mirage13–8-0.0329%15 Oct →
office13–40.0732%15 Oct →
anubis4–13-0.0127%14 Oct →
mirage4–13-0.0323%13 Oct →
office12–120.0232%12 Oct →
inferno13–70.0312%10 Oct →
anubis13–11-0.0110%10 Oct →
anubis13–9-0.0311%10 Oct →
mirage13–9-0.0519%8 Oct →
inferno8–13-0.0619%8 Oct →
anubis5–13-0.0627%8 Oct →
ancient13–50.0616%8 Oct →
inferno13–7-0.0227%7 Oct →
mirage5–13-0.0010%7 Oct →
inferno11–13-0.0223%7 Oct →
mirage8–13-0.0617%7 Oct →
vertigo5–9-0.1340%7 Oct →
nuke13–110.0222%6 Oct →
inferno13–9-0.0236%6 Oct →
anubis13–7-0.027%6 Oct →
office7–13-0.0421%6 Oct →
anubis13–70.0614%3 Oct →
inferno10–13-0.0528%3 Oct →
mirage13–11-0.0323%3 Oct →
ancient10–13-0.0817%3 Oct →
office12–12-0.0511%3 Oct →
italy13–4-0.0750%3 Oct →
inferno13–11-0.0021%3 Oct →
dust22–13-0.0831%3 Oct →
mirage13–7-0.0430%3 Oct →
nuke13–9-0.0426%3 Oct →
ancient10–13-0.1013%3 Oct →
office9–13-0.014%1 Oct →
anubis13–50.0516%1 Oct →
mirage13–60.0233%1 Oct →
mirage11–130.0221%1 Oct →
ancient10–13-0.0528%30 Sept →
office9–130.0011%29 Sept →
ancient13–50.0823%29 Sept →
mirage8–13-0.0718%29 Sept →
anubis13–10-0.0827%29 Sept →
mirage13–60.0213%29 Sept →
anubis9–13-0.0118%28 Sept →
office7–4-0.0514%22 Sept →
mirage13–6-0.0227%22 Sept →
inferno10–13-0.0515%20 Sept →
ancient2–13-0.0827%18 Sept →
inferno13–7-0.0212%18 Sept →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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