eLaxd

eLaxd — CS2 Stats

76561198001604639[U:1:41338911]Steam profile ↗✓ No bans

636Tracked matches37%Win rate2020Tracked since
2,680Hours in CS
CSDB Rating3.9 LearningSupport
Premier CS Rating19,881Top 50% of 210,584 CSDB-tracked playersPurple band · top ~9% of ranked players (population est.)
CSDB Leaderboard#87325 of 257641 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 May 2026 (165 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,881 +179 3 Feb – 14 May · 30 days played
18,61920,639peak 20,6393 Feb14 May
20,740Peak Premier in tracked matches
1,182Highest Faceit ELO seen on CSDB
41Days played since 2025-12-28

Premier CS Rating

  • 758 below peak (20,639)
  • -758 over 30 days · declining
  • +612 over 90 days
  • Next: Pink band at 20,000 — 119 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate46.3%44.4%46.9%meets
Shot accuracy16.8%11.9%13.0%above
Kill/death ratio0.991.031.080.09 short
Match win rate43.8%45.2%46.7%2.9% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGeLaxdPREMIER19,881 · Purple bandPEAK ELO1,182csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim42
Positioning38
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateLLWLWWWLLW

Last 10 vs previous 10: +20pp win rate · +0.06 avg rating · +0.4pp headshot accuracy · +11ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 676ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 690ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 684ms

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: Support — Utility contribution stands above the rest of this profile (+2.6 against its own average).

Aim4.2
Utility6.2
Positioning3.8
Opening Duels2.3
Clutch2.0

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 71% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 47% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 673ms 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

Aim4.2
Positioning3.8
Utility6.2
Mechanics4.8
Opening Duels2.1
Win Impact0.6

Composite 3.9/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time673ms−11ms
first ⅓ avg 685ms → last ⅓ avg 673ms
Headshot accuracy20.1%+1.0%
first ⅓ avg 19.1% → last ⅓ avg 20.1%

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

0.10Best match rating · 13–2 · overpass, 30 Mar →
41%Best headshot accuracy · 13–10 · mirage, 22 Feb →
453msFastest reaction time · 13–10 · mirage, 22 Feb →
13–2Biggest win · inferno, 2 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
15–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 71% over 21ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB2814–1450%-0.02
mirageS2115–671%-0.02
nukeC135–838%-0.03
dust2C114–736%-0.03
overpassS96–367%-0.00
anubisC94–544%-0.04
ancientD51–420%-0.04
cache—20–20%-0.01
cache_b—21–150%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

123,476Lifetime kills
0.99K/D
5,978Matches
43.8%Match win rate
46.3%Headshot % · Top 50% of Purple band
16.8%Shot accuracy · Top 25% of Purple band
9,222MVPs
2,680Hours (in match)
4,556Bombs planted
1,128Bombs defused

Most-used weapons

AK-4743,547
AWP16,899
P2503,694
Tec-92,093
FAMAS1,767

Lifetime map wins

12,982dust2
10,773inferno
4,510nuke
1,919train
1,767cbble
73vertigo
69aztec
69bank

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

Faceit stats

Combat

497Matches
51%Win rate
0.95Avg K/D
72.0ADR
48%Headshot %

Clutches & streaks

30%1v1 clutch win
16%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1547%0.8413.5
Inferno1050%0.9213.6
Nuke825%0.8213.4
Dust2650%1.5016.5
Cache540%0.8813.6
Anubis425%0.589.0
Ancient367%1.2215.0
Overpass1100%1.2123.0

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.

20.5%Headshot accuracy
29.7%Accuracy (enemy spotted)
25.8%Spray accuracy
71.4%Counter-strafing
9.6°Preaim
673msReaction time
24.2%T opening success
46.8%CT opening success
0.65Enemies flashed / flash
6.1%Flash assists
9.45HE damage / grenade
11.72Flashes / 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. 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 24.1523% — below the 40% mark we flag

Spend your practice time on Ancient

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache4–13-0.0411%14 May →
overpass6–130.0117%14 May →
ancient13–4-0.0317%11 May →
anubis7–13-0.0524%6 May →
overpass13–100.0319%1 May →
inferno13–90.0513%30 Apr →
inferno13–110.0927%29 Apr →
cache10–130.0122%29 Apr →
overpass9–13-0.0128%28 Apr →
anubis13–70.0216%27 Apr →
mirage16–14-0.0313%26 Apr →
dust23–13-0.1032%26 Apr →
inferno13–10-0.1114%26 Apr →
anubis11–13-0.0327%25 Apr →
inferno2–13-0.0717%25 Apr →
ancient10–13-0.0216%22 Apr →
nuke6–13-0.069%22 Apr →
nuke12–16-0.0221%18 Apr →
ancient8–13-0.1021%17 Apr →
inferno13–110.0221%16 Apr →
dust213–16-0.0535%16 Apr →
mirage11–130.0227%16 Apr →
inferno13–100.0321%11 Apr →
mirage8–13-0.0625%10 Apr →
nuke10–13-0.0218%10 Apr →
ancient6–13-0.0113%10 Apr →
dust23–130.0016%10 Apr →
inferno13–90.0024%10 Apr →
dust213–7-0.0130%10 Apr →
nuke9–13-0.0511%10 Apr →
overpass13–70.0113%10 Apr →
inferno8–13-0.0722%10 Apr →
overpass11–13-0.0421%5 Apr →
nuke13–8-0.0424%4 Apr →
mirage13–110.0222%3 Apr →
cache_b1–13-0.0121%3 Apr →
mirage13–11-0.0228%3 Apr →
dust213–10-0.0710%3 Apr →
mirage13–11-0.0329%3 Apr →
mirage13–3-0.0111%2 Apr →
mirage13–100.0114%2 Apr →
inferno13–20.0423%2 Apr →
dust213–5-0.0629%1 Apr →
inferno11–130.0724%1 Apr →
dust211–130.0223%30 Mar →
mirage5–13-0.0126%30 Mar →
overpass13–20.1029%30 Mar →
mirage13–110.0018%30 Mar →
inferno13–8-0.0212%30 Mar →
inferno2–13-0.1027%30 Mar →
mirage8–13-0.0429%29 Mar →
anubis9–130.0323%28 Mar →
dust213–30.0131%28 Mar →
anubis9–13-0.0715%22 Mar →
inferno6–13-0.0516%18 Mar →
mirage13–11-0.0713%18 Mar →
nuke13–2-0.0313%13 Mar →
inferno14–16-0.0415%13 Mar →
nuke13–60.0013%13 Mar →
mirage13–11-0.0524%13 Mar →
inferno3–13-0.0213%13 Mar →
inferno13–30.0119%12 Mar →
mirage9–130.0219%12 Mar →
inferno13–90.0125%12 Mar →
dust28–130.0117%12 Mar →
mirage13–11-0.0237%12 Mar →
nuke8–13-0.0322%12 Mar →
inferno11–13-0.0611%12 Mar →
anubis13–11-0.0724%11 Mar →
mirage13–90.0318%11 Mar →
nuke6–13-0.0116%28 Feb →
inferno13–8-0.0711%28 Feb →
overpass13–11-0.1116%28 Feb →
dust27–13-0.0726%28 Feb →
inferno13–10-0.0116%27 Feb →
inferno11–13-0.0432%27 Feb →
nuke10–13-0.0031%27 Feb →
inferno10–13-0.0416%22 Feb →
mirage13–10-0.0241%22 Feb →
anubis13–8-0.0714%22 Feb →
cache_b13–9-0.0425%22 Feb →
anubis13–7-0.0515%22 Feb →
mirage13–8-0.0524%21 Feb →
mirage13–11-0.0521%7 Feb →
anubis4–13-0.0710%7 Feb →
inferno8–13-0.0114%7 Feb →
inferno14–16-0.0118%6 Feb →
nuke13–16-0.0612%6 Feb →
overpass13–110.0020%3 Feb →
inferno13–110.0214%3 Feb →
inferno13–80.0023%1 Feb →
mirage3–13-0.0414%1 Feb →
mirage13–6-0.009%30 Jan →
inferno10–13-0.0222%29 Jan →
overpass13–4-0.0012%29 Jan →
ancient10–13-0.0517%29 Jan →
nuke13–70.0321%29 Jan →
inferno7–13-0.0513%27 Jan →
nuke13–7-0.0920%27 Jan →
dust25–13-0.0533%28 Dec →

Match data via Leetify.

Recent teammates

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.