LX

LX — CS2 Stats

DE76561198072834195[U:1:112568467]Steam profile ↗✓ No bans

306Tracked matches43%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 306
+3.3ppWin rate · 40.0% → 43.3%

Rating over time

Premier CS Rating: 9,999 -603 13 Jan – 30 Jun · 10 days played
8,88412,511peak 12,51113 Jan30 Jun
12,813Peak Premier in tracked matches
34Days played since 2025-08-26

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

Performance scores

Aim61
Positioning42
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY42–56–2Last 10042%Win rateWLLLWLWWLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +4.5pp headshot accuracy · +9ms reaction

Win rate down 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 606ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 625ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 621ms

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 (+1.1 against its own average).

Aim6.1
Utility3.6
Positioning4.2
Opening Duels1.5

Strong CT-side openerLimited 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

NiKo

Plays most like NiKo 94% 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

T-side openings. Opening success drops from 47% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 630ms 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

Aim6.1
Positioning4.2
Utility3.6
Mechanics7.0
Opening Duels2.2
Win Impact2.8

Composite 4.8/10 (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+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time652ms−57ms
first ⅓ avg 709ms → last ⅓ avg 652ms
Headshot accuracy23.4%+0.5%
first ⅓ avg 22.9% → last ⅓ avg 23.4%

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

0.15Best match rating · 13–6 · dust2, 7 May →
42%Best headshot accuracy · 9–13 · dust2, 4 Jan →
313msFastest reaction time · 3–13 · mirage, 27 Jan →
13–1Biggest win · dust2, 30 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 63% over 8infernoWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B3115–1648%-0.01
mirageC198–1142%-0.02
ancientC176–1135%-0.04
anubisA85–363%-0.02
infernoD70–70%-0.01
cache—42–250%-0.01
nuke—42–250%-0.05
overpass—32–167%0.01
poseidon—20–20%-0.06
boulder—10–10%0.03
sanctum—11–0100%-0.01
vertigo—10–10%0.00
train—10–10%-0.03
italy—11–0100%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

23.7%Headshot accuracy
29.4%Accuracy (enemy spotted)
25.7%Spray accuracy
81.7%Counter-strafing
8.8°Preaim
630msReaction time
22.6%T opening success
47.5%CT opening success
0.50Enemies flashed / flash
3.3%Flash assists
13.72HE damage / grenade
2.61Flashes / 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 0.4975 — 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 22.6009% — below the 40% mark we flag

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.

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–110.0128%23 Sept →
boulder8–130.0319%7 Sept →
mirage8–13-0.0212%7 Sept →
ancient7–13-0.0523%13 Aug →
cache13–9-0.0622%13 Aug →
cache11–13-0.0337%11 Aug →
mirage13–10-0.0329%11 Aug →
dust213–5-0.0026%23 Jul →
mirage9–13-0.0431%23 Jul →
inferno8–13-0.0030%21 Jul →
anubis13–20.0120%21 Jul →
mirage6–13-0.0933%21 Jul →
ancient13–5-0.0222%30 Jun →
dust213–10.0228%30 Jun →
anubis13–11-0.0521%30 Jun →
anubis16–14-0.0422%23 Jun →
ancient9–13-0.0519%23 Jun →
dust213–10.0323%23 Jun →
dust210–130.0212%10 Jun →
ancient9–13-0.0713%10 Jun →
mirage3–13-0.1018%10 Jun →
dust24–13-0.0626%10 Jun →
poseidon7–9-0.0913%7 May →
sanctum9–5-0.0124%7 May →
poseidon7–9-0.0326%7 May →
dust213–60.1519%7 May →
cache13–10.0319%5 May →
cache9–130.0231%5 May →
dust27–130.0033%20 Apr →
ancient2–13-0.1017%20 Apr →
inferno6–13-0.0230%20 Apr →
anubis9–13-0.0521%19 Apr →
anubis13–110.0224%19 Apr →
ancient6–13-0.0620%19 Apr →
mirage13–7-0.0320%30 Mar →
mirage8–130.0914%30 Mar →
mirage7–130.0219%30 Mar →
dust213–8-0.0117%30 Mar →
ancient9–13-0.0720%29 Mar →
dust213–3-0.0521%29 Mar →
overpass16–13-0.0120%26 Mar →
mirage13–7-0.0321%26 Mar →
ancient13–8-0.0319%26 Mar →
anubis13–11-0.0130%17 Mar →
dust29–13-0.0318%17 Mar →
mirage13–7-0.0230%17 Mar →
overpass7–130.0029%16 Mar →
inferno8–130.0234%16 Mar →
dust23–13-0.0421%16 Mar →
dust213–50.0229%16 Mar →
dust23–13-0.0123%8 Mar →
mirage8–13-0.0711%8 Mar →
anubis9–13-0.0127%8 Mar →
nuke7–13-0.0513%8 Mar →
dust213–60.0018%1 Mar →
inferno11–13-0.0226%1 Mar →
dust26–13-0.1013%1 Mar →
dust213–90.0217%22 Feb →
mirage9–40.0121%22 Feb →
ancient13–100.0622%22 Feb →
ancient11–13-0.0416%22 Feb →
nuke13–100.0225%16 Feb →
dust215–150.0024%16 Feb →
anubis13–160.0015%16 Feb →
mirage13–10-0.0710%16 Feb →
ancient8–13-0.123%27 Jan →
mirage3–13-0.050%27 Jan →
mirage13–40.0520%26 Jan →
mirage16–13-0.017%26 Jan →
dust210–130.0027%26 Jan →
overpass13–50.0417%21 Jan →
vertigo11–130.0033%21 Jan →
mirage12–12-0.0321%21 Jan →
dust27–130.0038%21 Jan →
ancient16–120.0219%13 Jan →
dust216–12-0.0219%13 Jan →
nuke6–13-0.0924%13 Jan →
dust28–13-0.0513%13 Jan →
ancient14–16-0.0816%4 Jan →
mirage8–130.0123%4 Jan →
dust210–13-0.0911%4 Jan →
dust29–130.0242%4 Jan →
train9–13-0.0322%4 Jan →
ancient13–10-0.0521%4 Jan →
dust213–50.0232%4 Jan →
dust28–13-0.0613%5 Nov →
mirage3–13-0.0218%5 Nov →
dust211–13-0.0417%5 Nov →
italy13–8-0.0837%24 Oct →
ancient11–130.0323%24 Oct →
dust213–80.0216%24 Oct →
inferno4–13-0.0720%23 Oct →
dust213–110.0124%23 Oct →
ancient10–13-0.0232%7 Oct →
inferno10–13-0.0126%3 Oct →
nuke16–13-0.0722%3 Oct →
ancient13–2-0.0514%3 Oct →
inferno6–13-0.0126%29 Sept →
dust213–80.0327%29 Sept →
dust29–13-0.0833%26 Aug →

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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