androxe

androxe — CS2 Stats

PT76561198351644666[U:1:391378938]Steam profile ↗✓ No bans

6,359Tracked matches63%Win rate2020Tracked since
12,146Hours in CS98Hrs last 2 wks
CSDB Rating6.8 SolidSupport
FaceitLevel 10 · 2,770 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

−114Faceit ELO · 2,884 → 2,770

Rating over time

2,884Highest Faceit ELO seen on CSDB
79Days played since 2025-12-31

Faceit ELO

  • 114 below peak (2,884)
  • Next: 3,000 ELO at 3,000 — 230 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-03
  • Level 10 first seen 2026-09-03

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches142150−8
Win rate61%49%+12pp
K/D0.770.85−0.08
Headshot %60%50%+10pp

Measured 3 Oct 2026 → 29 Oct 2026; previous 31 Aug 2026 → 3 Oct 2026.

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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate44.3%50.9%
Shot accuracy14.0%13.7%
Kill/death ratio0.901.09
Match win rate46.9%48.4%

Share this profile

CSDB.GGandroxeFACEITLevel 10 · 2,770 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,884csdb.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

Aim79
Positioning50
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY60–40Last 10060%Win rateLWLWLLWWWW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +10.1pp headshot accuracy · −0ms 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 0.00
  • Avg headshot accuracy 35%
  • Avg reaction 608ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 609ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 610ms

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 (+2.1 against its own average).

Aim7.9
Utility6.3
Positioning5.0
Opening Duels1.7
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

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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 44% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 613ms 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

Aim7.9
Positioning5.0
Utility6.3
Mechanics8.1
Opening Duels1.7
Win Impact9.4

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time617ms−33ms
first ⅓ avg 649ms → last ⅓ avg 617ms
Headshot accuracy23.8%+0.3%
first ⅓ avg 23.5% → last ⅓ avg 23.8%

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

0.11Best match rating · 13–1 · dust2, 25 Jul →
60%Best headshot accuracy · 8–13 · ancient, 24 Oct →
438msFastest reaction time · 8–13 · inferno, 14 Apr →
13–1Biggest win · dust2, 25 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
16–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 100% over 6infernoWeakest map · 21% over 19
MapGradePlayedRecordWin rateAvg rating
mirageS2820–871%0.01
infernoD194–1521%-0.01
dust2A1811–761%0.00
ancientA159–660%0.01
nukeS64–267%0.01
anubisS66–0100%0.03
cacheS55–0100%0.02
overpass—31–233%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

298,685Lifetime kills
0.90K/D
14,559Matches
46.9%Match win rate
44.3%Headshot %
14.0%Shot accuracy · Top 50% of Level 10 players
39,941MVPs
7,651Hours (in match)
21,579Bombs planted
4,165Bombs defused

Most-used weapons

AK-4792,032
AWP54,224
Glock-1810,057
Knife8,792
P905,872
MAC-105,520

Lifetime map wins

33,923dust2
23,055inferno
5,199train
5,150vertigo
3,834nuke
414cbble
173office
128lake

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

Faceit stats

Combat

8,523Matches
51%Win rate
1.07Avg K/D
77.0ADR
49%Headshot %

Clutches & streaks

40%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage123755%1.1616.5
Dust274652%1.0515.7
Ancient69953%1.0716.6
Anubis41047%1.0416.5
Inferno36348%1.0515.6
Nuke15451%0.9915.1
Overpass11643%1.0616.8
Cache7560%1.0115.4

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.

24.2%Headshot accuracy
37.8%Accuracy (enemy spotted)
38.3%Spray accuracy
86.5%Counter-strafing
11.6°Preaim
613msReaction time
27.4%T opening success
43.6%CT opening success
0.66Enemies flashed / flash
11.4%Flash assists
8.54HE damage / grenade
10.10Flashes / 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 27.4169% — 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.

21% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient8–130.0260%24 Oct →
inferno13–10-0.0140%23 Oct →
dust27–130.0121%23 Oct →
ancient13–70.0021%17 Oct →
inferno7–13-0.0130%12 Oct →
inferno13–16-0.0225%4 Oct →
ancient13–90.0424%18 Sept →
mirage13–80.0019%7 Sept →
cache13–80.0920%15 Aug →
ancient13–110.0224%13 Aug →
inferno2–13-0.0615%13 Aug →
mirage13–110.0313%11 Aug →
cache13–7-0.0418%9 Aug →
ancient13–110.0325%7 Aug →
ancient9–130.0524%4 Aug →
nuke9–130.0717%3 Aug →
inferno8–13-0.0517%1 Aug →
mirage13–90.0117%31 Jul →
dust213–10.1126%25 Jul →
dust213–5-0.0011%24 Jul →
mirage13–11-0.0223%24 Jul →
dust28–130.0124%23 Jul →
mirage13–50.0526%22 Jul →
mirage13–60.0720%16 Jul →
ancient16–14-0.0423%15 Jul →
inferno5–13-0.0238%14 Jul →
ancient13–30.0448%14 Jul →
mirage13–70.0224%14 Jul →
dust213–7-0.0113%9 Jul →
mirage9–130.0023%9 Jul →
mirage13–9-0.0313%8 Jul →
dust216–130.0224%8 Jul →
dust213–80.0018%6 Jul →
overpass13–110.0628%2 Jul →
anubis13–70.0221%30 Jun →
dust26–13-0.118%30 Jun →
inferno8–13-0.0335%28 Jun →
anubis13–11-0.0120%28 Jun →
mirage11–13-0.0520%27 Jun →
mirage13–110.0822%24 Jun →
ancient13–30.0335%23 Jun →
overpass5–13-0.0311%20 Jun →
inferno13–110.0731%8 Jun →
mirage11–130.0523%7 Jun →
ancient7–13-0.0133%5 Jun →
dust216–140.0422%28 May →
ancient16–140.0616%27 May →
mirage13–5-0.0219%26 May →
cache13–110.0023%26 May →
mirage7–13-0.0316%24 May →
nuke13–10-0.0118%22 May →
mirage13–50.1041%18 May →
dust213–90.0529%17 May →
nuke13–110.0520%9 May →
anubis13–100.0322%7 May →
overpass3–13-0.0420%5 May →
mirage9–13-0.0020%2 May →
ancient4–13-0.0121%1 May →
cache13–8-0.0117%1 May →
mirage13–60.0633%1 May →
mirage13–90.0827%1 May →
cache13–70.0725%28 Apr →
dust213–20.1021%24 Apr →
inferno10–130.0423%22 Apr →
mirage11–13-0.0316%20 Apr →
inferno10–130.0528%20 Apr →
dust213–20.0126%15 Apr →
inferno8–130.0130%14 Apr →
mirage13–110.0729%13 Apr →
inferno13–8-0.0513%12 Apr →
anubis16–13-0.0226%12 Apr →
anubis13–80.0626%8 Apr →
ancient9–13-0.0729%6 Apr →
mirage13–90.0112%6 Apr →
inferno14–160.0028%31 Mar →
nuke13–40.0935%31 Mar →
inferno3–13-0.0350%30 Mar →
ancient13–80.0733%27 Mar →
mirage11–13-0.016%25 Mar →
inferno10–130.0126%21 Mar →
anubis13–30.0939%19 Mar →
inferno13–6-0.0424%13 Mar →
dust210–13-0.0528%6 Mar →
dust24–13-0.0821%19 Feb →
nuke5–9-0.1621%15 Feb →
mirage13–10-0.0511%15 Feb →
mirage13–110.0920%15 Feb →
dust22–130.000%14 Feb →
dust212–160.0413%14 Feb →
dust216–130.0223%10 Feb →
mirage13–7-0.0428%4 Feb →
mirage13–9-0.0229%1 Feb →
mirage13–60.0241%31 Jan →
nuke13–11-0.0023%26 Jan →
mirage6–13-0.0628%24 Jan →
inferno7–13-0.0319%7 Jan →
inferno11–130.0117%5 Jan →
ancient11–13-0.0710%3 Jan →
dust213–4-0.0913%31 Dec →
inferno7–13-0.0128%31 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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