atrax

atrax — CS2 Stats

76561198267566529[U:1:307300801]Steam profile ↗✓ No bans

351Tracked matches21%Win rate2020Tracked since
978Hours in CS1Hrs last 2 wks
CSDB Rating2.4 LearningSupport
FaceitLevel 3 · 818 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 40 days played since 4 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 13,278 -338 8 Aug14 Aug · 3 days played
13,27813,616peak 13,6168 Aug14 Aug
13,616Peak Premier in tracked matches
818Highest Faceit ELO seen on CSDB
40Days played since 2026-03-04

Faceit ELO

  • At peak — 818
  • Next: Level 4 at 901 83 to go
  • Reached: Level 3 · Level 2

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 3 among CSDB-tracked players (n=9,584), 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 3 medianLevel 4 medianvs Level 4
Headshot rate36.9%41.9%42.7%5.8% short
Shot accuracy16.1%12.2%11.3%above
Kill/death ratio0.900.980.990.10 short
Match win rate41.2%43.3%43.9%2.7% short

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

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGatraxFACEITLevel 3 · 818 ELOSTANDINGTop 90.6% of rankedPEAK ELO818csdb.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

Aim20
Positioning35
Utility41

0–100 skill scores via Leetify.

Recent form

COLD42535Last 10042%Win rateLLLLWLWLLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +1.1pp headshot accuracy · +27ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 711ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 15%
  • Avg reaction 685ms

Last 20

  • 4142 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 672ms

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: SupportUtility contribution stands above the rest of this profile (+1.5 against its own average).

Aim2.0
Utility4.1
Positioning3.5
Opening Duels0.0
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

NiKo

Plays most like NiKo 61% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 683ms 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

Aim2.0
Positioning3.5
Utility4.1
Mechanics4.8
Opening Duels0.0
Win Impact0.0

Composite 2.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.06−0.00
first ⅓ avg -0.06 → last ⅓ avg -0.06
Reaction time680ms−9ms
first ⅓ avg 689ms → last ⅓ avg 680ms
Headshot accuracy14.8%+1.1%
first ⅓ avg 13.7% → last ⅓ avg 14.8%

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 · 8–8 · inferno, 11 Apr
34%Best headshot accuracy · 13–7 · inferno, 1 Sept
469msFastest reaction time · 13–6 · nuke, 19 Apr
13–2Biggest win · inferno, 7 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
55In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 62% over 13infernoWeakest map · 29% over 28
MapGradePlayedRecordWin rateAvg rating
infernoD2882029%-0.06
mirageC25111444%-0.06
dust2C156940%-0.05
cacheA138562%-0.05
nukeA95456%-0.06
anubis4040%-0.08
overpass32167%-0.05
ancient32167%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 28). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,116Lifetime kills
0.90K/D
1,946Matches
41.2%Match win rate
36.9%Headshot %
16.1%Shot accuracy · Top 25% of Level 3 players
4,218MVPs
537Hours (in match)
1,567Bombs planted
281Bombs defused

Most-used weapons

AK-472,623
P902,330
AWP2,297
SG 5532,197
AUG1,866
MP71,514

Lifetime map wins

2,646inferno
2,224dust2
1,319nuke
1,007cbble
989vertigo
290train
124safehouse
93lake

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

Faceit stats

Combat

15Matches
33%Win rate
0.56Avg K/D
61.8ADR
36%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2333%0.476.0
Inferno367%0.8621.0
Mirage333%0.508.3
Anubis250%0.609.5
Nuke10%0.5815.0

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.

14.7%Headshot accuracy
23.4%Accuracy (enemy spotted)
24.1%Spray accuracy
71.7%Counter-strafing
11.1°Preaim
683msReaction time
29.5%T opening success
17.9%CT opening success
0.45Enemies flashed / flash
2.2%Flash assists
7.89HE damage / grenade
4.15Flashes / 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. 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 14.6939% — below the 15% mark we flag

    Aim Training
  2. 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 0.4466 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 29.5461% — 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.

29% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0429%18 Sept
nuke9–13-0.048%7 Sept
mirage9–13-0.0913%2 Sept
inferno7–13-0.0711%2 Sept
mirage13–5-0.078%1 Sept
inferno7–13-0.0610%1 Sept
inferno13–7-0.0134%1 Sept
inferno6–13-0.0911%30 Aug
inferno5–13-0.0913%26 Aug
dust210–13-0.0912%26 Aug
mirage5–13-0.030%23 Aug
inferno12–12-0.0519%23 Aug
dust26–13-0.0912%23 Aug
inferno11–13-0.1212%21 Aug
dust210–13-0.068%21 Aug
inferno12–12-0.0419%15 Aug
cache10–13-0.0517%15 Aug
dust213–40.0128%15 Aug
mirage8–13-0.0611%15 Aug
mirage13–9-0.0715%15 Aug
mirage8–13-0.0421%15 Aug
inferno5–13-0.0527%14 Aug
nuke3–13-0.0814%14 Aug
cache7–13-0.0810%14 Aug
dust28–13-0.0516%14 Aug
inferno5–13-0.100%13 Aug
nuke5–13-0.1225%9 Aug
cache5–13-0.0212%9 Aug
mirage16–12-0.0815%8 Aug
cache13–5-0.028%8 Aug
mirage13–6-0.0512%8 Aug
dust213–9-0.0325%8 Aug
mirage5–1-0.0415%8 Aug
inferno13–70.0215%8 Aug
cache9–13-0.0513%8 Aug
mirage13–3-0.0025%8 Aug
cache13–4-0.0216%7 Aug
dust213–40.0515%7 Aug
inferno13–2-0.047%7 Aug
mirage5–13-0.092%7 Aug
inferno2–13-0.0010%7 Aug
mirage12–16-0.0521%5 Aug
dust20–8-0.0220%16 Jul
inferno4–13-0.062%15 Jul
nuke13–7-0.069%15 Jul
inferno9–7-0.116%9 Jul
inferno11–13-0.128%29 Jun
dust23–13-0.1111%29 Jun
cache13–8-0.098%29 Jun
mirage7–13-0.0214%21 Jun
dust213–9-0.0618%21 Jun
inferno5–13-0.0819%21 Jun
mirage2–13-0.1421%21 Jun
inferno3–9-0.1413%14 Jun
inferno8–8-0.1318%14 Jun
inferno6–13-0.0411%3 Jun
nuke13–5-0.0321%17 May
cache13–4-0.0222%17 May
cache13–10-0.078%17 May
inferno13–11-0.0620%16 May
nuke13–20.0115%16 May
dust27–13-0.0917%16 May
anubis8–13-0.088%16 May
cache6–13-0.0824%9 May
cache13–9-0.0118%9 May
cache13–11-0.1110%9 May
cache13–4-0.0313%9 May
mirage9–13-0.144%28 Apr
nuke11–13-0.1011%21 Apr
nuke13–6-0.1023%19 Apr
dust213–6-0.0616%19 Apr
mirage3–13-0.0816%19 Apr
overpass13–2-0.0623%18 Apr
mirage10–13-0.0920%18 Apr
ancient9–13-0.0520%12 Apr
mirage13–40.0113%12 Apr
dust212–12-0.0813%12 Apr
inferno8–80.0815%11 Apr
mirage3–13-0.068%4 Apr
nuke13–5-0.0113%29 Mar
ancient13–10-0.053%29 Mar
anubis5–13-0.084%29 Mar
dust29–13-0.0715%29 Mar
inferno2–13-0.086%28 Mar
inferno4–13-0.1013%28 Mar
mirage6–13-0.0623%28 Mar
inferno13–40.0115%26 Mar
mirage13–5-0.0411%26 Mar
overpass13–8-0.0818%22 Mar
anubis3–13-0.0810%22 Mar
mirage16–14-0.0713%21 Mar
dust213–6-0.0417%21 Mar
inferno13–8-0.0424%21 Mar
ancient13–9-0.0612%21 Mar
inferno13–11-0.0514%21 Mar
overpass11–13-0.030%15 Mar
inferno2–13-0.0722%15 Mar
mirage13–10-0.0519%7 Mar
anubis10–13-0.0710%7 Mar
mirage13–5-0.0610%4 Mar

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 →