Atrix

Atrix — CS2 Stats

DE76561198157500057[U:1:197234329]Steam profile ↗✓ No bans

1,186Tracked matches43%Win rate2021Tracked since
1,968Hours in CS7Hrs last 2 wks
CSDB Rating5.8 SolidSupport
CSDB Leaderboard#41703 of 247841 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 22,962 -2,037 30 Apr – 3 Jul · 21 days played
21,79624,999peak 24,99930 Apr3 Jul
24,999Peak Premier in tracked matches
38Days played since 2026-04-30

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches14——
Win rate50%——
K/D1.14——
Headshot %42%——

Measured 2 Sep 2026 → 1 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,327), 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 9 medianLevel 10 medianvs Level 10
Headshot rate44.7%48.2%50.9%6.2% short
Shot accuracy14.5%13.3%13.8%above
Kill/death ratio1.181.071.09above
Match win rate28.0%46.9%48.4%20.4% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAtrixFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim73
Positioning52
Utility73

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateLLWWLWLWLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −1.1pp headshot accuracy · −35ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 534ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 546ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 564ms

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 (+2.9 against its own average).

Aim7.3
Utility7.3
Positioning5.2
Opening Duels1.2
Clutch4.0

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 80% 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. 553ms 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

Aim7.3
Positioning5.2
Utility7.3
Mechanics6.8
Opening Duels1.4
Win Impact2.8

Composite 5.8/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time548ms+6ms
first ⅓ avg 542ms → last ⅓ avg 548ms
Headshot accuracy18.3%+1.8%
first ⅓ avg 16.5% → last ⅓ avg 18.3%

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.

Personal bests

0.23Best match rating · 13–4 · ancient, 12 Jun →
35%Best headshot accuracy · 13–10 · dust2, 22 May →
375msFastest reaction time · 13–1 · dust2, 28 Jun →
13–1Biggest win · dust2, 28 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
5–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 58% over 12mirageWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B4019–2148%0.01
infernoC166–1038%0.01
anubisA127–558%0.02
ancientC104–640%0.04
cacheC73–443%-0.03
overpassC73–443%-0.01
mirageD62–433%0.01
nuke—21–150%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

74,990Lifetime kills
1.18K/D · Top 50% of Level 9 players
3,205Matches
28.0%Match win rate
44.7%Headshot %
14.5%Shot accuracy · Top 50% of Level 9 players
4,420MVPs
1,459Hours (in match)
3,384Bombs planted
482Bombs defused

Most-used weapons

Lifetime map wins

4,976inferno
4,766dust2
986nuke
434train
290vertigo
116cbble
44italy
23assault

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

Faceit stats

Combat

235Matches
54%Win rate
1.36Avg K/D
78.2ADR
38%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust25857%1.1815.1
Mirage4353%1.2015.9
Anubis3850%1.6017.5
Ancient2250%1.2316.4
Inferno1662%1.5519.1
Cache1258%1.4114.4
Train757%1.4915.9
Vertigo650%1.4020.0

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.

17.9%Headshot accuracy
34.2%Accuracy (enemy spotted)
37.6%Spray accuracy
80.7%Counter-strafing
9.9°Preaim
553msReaction time
30.0%T opening success
41.5%CT opening success
0.70Enemies flashed / flash
9.2%Flash assists
9.67HE damage / grenade
16.03Flashes / 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 30.0245% — below the 40% mark we flag

Spend your practice time on Mirage

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–130.0220%22 Sept →
cache11–13-0.0615%18 Sept →
dust213–40.1023%18 Sept →
dust213–30.1127%18 Sept →
anubis9–130.0115%6 Sept →
cache13–2-0.0213%30 Aug →
dust24–130.0119%30 Aug →
cache13–6-0.0017%11 Aug →
dust211–130.0517%10 Aug →
cache6–13-0.0318%8 Aug →
dust213–10-0.0021%1 Aug →
ancient10–130.0714%17 Jul →
anubis13–3-0.0018%16 Jul →
mirage8–130.0319%15 Jul →
cache8–13-0.0218%15 Jul →
nuke13–11-0.0125%13 Jul →
dust24–130.0120%13 Jul →
cache13–110.0312%13 Jul →
cache2–13-0.0826%11 Jul →
mirage11–13-0.0320%5 Jul →
dust213–100.0913%5 Jul →
dust28–13-0.0024%4 Jul →
dust213–40.046%3 Jul →
mirage9–130.0217%3 Jul →
dust213–80.0314%2 Jul →
dust213–1-0.0118%28 Jun →
dust217–19-0.0020%28 Jun →
inferno13–90.0516%26 Jun →
dust29–130.0817%26 Jun →
ancient5–13-0.0819%26 Jun →
anubis13–60.1131%26 Jun →
dust213–30.089%20 Jun →
dust23–130.0025%20 Jun →
overpass13–70.0313%13 Jun →
anubis13–100.0413%13 Jun →
inferno13–60.0426%13 Jun →
overpass10–13-0.007%13 Jun →
ancient11–130.0320%13 Jun →
dust213–10-0.0321%13 Jun →
ancient13–40.2329%12 Jun →
inferno10–130.0216%12 Jun →
dust215–15-0.0221%7 Jun →
dust213–16-0.0010%7 Jun →
inferno13–110.0715%6 Jun →
ancient13–40.0414%6 Jun →
dust213–10.0212%6 Jun →
anubis10–130.0113%6 Jun →
overpass13–40.0510%6 Jun →
overpass13–7-0.0420%5 Jun →
mirage4–13-0.0624%5 Jun →
inferno9–13-0.0420%3 Jun →
nuke11–13-0.028%3 Jun →
dust214–16-0.0320%3 Jun →
inferno14–160.0022%31 May →
dust23–13-0.0912%31 May →
dust210–130.0110%31 May →
inferno13–40.1215%30 May →
dust210–13-0.0718%30 May →
mirage13–30.0422%30 May →
dust25–130.0211%30 May →
dust213–80.0121%29 May →
mirage13–80.0612%29 May →
anubis6–130.0012%29 May →
inferno2–13-0.0230%22 May →
dust27–13-0.089%22 May →
inferno6–130.0315%22 May →
dust213–10-0.0635%22 May →
dust213–60.0217%22 May →
dust213–50.0215%21 May →
dust213–60.0312%21 May →
dust213–30.1921%21 May →
overpass15–15-0.0422%21 May →
inferno6–13-0.0012%21 May →
inferno13–5-0.0411%21 May →
dust26–13-0.0016%15 May →
dust211–130.0124%15 May →
inferno9–130.0120%15 May →
overpass10–13-0.0517%15 May →
dust23–13-0.0614%15 May →
inferno7–13-0.0415%14 May →
anubis13–90.0514%14 May →
dust27–13-0.0311%14 May →
ancient13–50.0318%14 May →
anubis5–13-0.0410%14 May →
dust27–13-0.0513%14 May →
inferno13–100.0413%11 May →
ancient10–130.0316%8 May →
dust213–60.0411%8 May →
anubis9–130.0419%8 May →
anubis13–10-0.0415%8 May →
ancient13–4-0.0219%8 May →
inferno4–13-0.0712%7 May →
anubis13–50.0620%7 May →
dust210–13-0.0016%7 May →
overpass8–13-0.0117%7 May →
dust213–11-0.0031%2 May →
anubis13–11-0.0018%2 May →
ancient11–130.0422%2 May →
dust213–90.0422%30 Apr →
inferno10–13-0.0216%30 Apr →

Match data via Leetify.

Recent teammates

Milestones

1,000 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.