asix_

asix_ — CS2 Stats

76561198043467046[U:1:83201318]Steam profile ↗✓ No bans

234Tracked matches54%Win rate2020Tracked since
CSDB Rating4.8 DevelopingClutch Specialist
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 234 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,535 +3,050 18 Feb – 9 May · 18 days played
18,48523,457peak 23,45718 Feb9 May
23,711Peak Premier in tracked matches
33Days played since 2025-02-13

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

Share this profile

CSDB.GGasix_FACEITLevel 6STANDINGTop 54.0% of rankedcsdb.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

Aim60
Positioning49
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateLWTWWWLWLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −0.2pp headshot accuracy · −61ms 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 580ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 644ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 674ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.8 against its own average).

Aim6.0
Utility2.3
Positioning4.9
Opening Duels1.8
Clutch9.4

Limited utility dependenceReliable in 1v1s

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

donk

Plays most like donk 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 654ms 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

Aim6.0
Positioning4.9
Utility2.3
Mechanics6.2
Opening Duels1.6
Win Impact6.2

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-0.02−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time652ms+5ms
first ⅓ avg 647ms → last ⅓ avg 652ms
Headshot accuracy21.8%+1.8%
first ⅓ avg 20.0% → last ⅓ avg 21.8%

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 · 13–3 · dust2, 25 Feb →
43%Best headshot accuracy · 13–7 · ancient, 7 Mar →
414msFastest reaction time · 13–6 · inferno, 11 Sept →
13–1Biggest win · dust2, 23 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
2–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 67% over 12mirageWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
dust2A2716–1159%-0.00
mirageC187–1139%-0.01
nukeA1610–663%-0.01
infernoC156–940%-0.03
anubisS128–467%-0.01
ancientS64–267%-0.03
cache—21–150%0.03
overpass—21–150%0.00
train—20–20%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (39% over 18). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

20Matches
65%Win rate
1.16Avg K/D
64.7ADR
45%Headshot %

Clutches & streaks

67%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4100%1.0013.3
Anubis1100%0.8310.0
Nuke10%0.8916.0
Dust210%0.7213.0
Inferno1100%0.7911.0

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.

21.6%Headshot accuracy
31.8%Accuracy (enemy spotted)
34.2%Spray accuracy
78.0%Counter-strafing
9.9°Preaim
654msReaction time
29.4%T opening success
42.8%CT opening success
0.42Enemies flashed / flash
7.5%Flash assists
9.33HE damage / grenade
2.24Flashes / 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 0.422 — 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 29.3639% — 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.

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0719%4 Sept →
mirage13–40.1033%4 Sept →
cache15–15-0.0319%25 Aug →
dust213–50.0534%29 Jul →
cache13–100.0825%30 Apr →
nuke13–10-0.0223%23 Apr →
dust211–13-0.0626%23 Apr →
dust213–1-0.0135%23 Apr →
mirage4–13-0.0515%4 Mar →
dust28–13-0.0420%16 Jan →
nuke13–100.0322%22 Nov →
dust213–10-0.0441%22 Nov →
inferno13–6-0.0517%11 Sept →
dust213–6-0.0231%10 Sept →
overpass13–70.0228%30 Jul →
inferno5–13-0.0224%30 Jul →
overpass14–16-0.0224%30 Jul →
ancient13–8-0.0320%9 May →
nuke15–15-0.0326%2 Apr →
mirage13–9-0.0220%1 Apr →
nuke9–13-0.0213%27 Mar →
mirage1–13-0.0911%18 Mar →
dust211–13-0.0615%18 Mar →
anubis13–2-0.0316%18 Mar →
inferno8–13-0.0120%18 Mar →
dust211–13-0.0118%18 Mar →
ancient13–10-0.068%13 Mar →
dust27–130.0119%13 Mar →
mirage8–13-0.0912%12 Mar →
nuke13–4-0.0514%12 Mar →
nuke11–13-0.0928%12 Mar →
inferno13–50.0022%12 Mar →
anubis13–7-0.0222%12 Mar →
dust28–130.0333%12 Mar →
nuke13–70.0436%12 Mar →
mirage15–150.0122%11 Mar →
inferno11–130.0011%11 Mar →
mirage10–130.0022%11 Mar →
dust213–8-0.0522%11 Mar →
mirage14–160.0226%11 Mar →
dust213–90.1028%10 Mar →
anubis5–13-0.0431%10 Mar →
mirage13–60.0410%10 Mar →
dust213–10.1028%10 Mar →
dust213–100.0125%10 Mar →
dust213–16-0.0517%9 Mar →
ancient13–7-0.0343%7 Mar →
dust213–20.0330%7 Mar →
inferno9–130.0015%7 Mar →
anubis13–10-0.0322%28 Feb →
dust25–13-0.0428%28 Feb →
mirage8–13-0.0621%28 Feb →
ancient2–13-0.0322%27 Feb →
mirage3–13-0.0817%27 Feb →
inferno7–13-0.068%26 Feb →
nuke13–60.0424%26 Feb →
anubis13–10-0.0323%26 Feb →
ancient13–9-0.0227%26 Feb →
nuke13–60.0629%26 Feb →
dust28–130.0121%26 Feb →
train1–13-0.1112%26 Feb →
anubis6–13-0.0228%26 Feb →
nuke13–9-0.0310%26 Feb →
inferno13–5-0.0422%26 Feb →
anubis14–16-0.0219%26 Feb →
dust213–10-0.0613%26 Feb →
mirage13–90.0228%25 Feb →
inferno15–12-0.0226%25 Feb →
dust213–30.1135%25 Feb →
mirage13–7-0.0615%25 Feb →
train10–130.0918%25 Feb →
dust212–12-0.028%25 Feb →
mirage15–15-0.0220%24 Feb →
anubis13–8-0.0016%24 Feb →
inferno13–6-0.0415%24 Feb →
anubis13–30.0120%23 Feb →
mirage10–13-0.0312%21 Feb →
ancient14–16-0.0112%21 Feb →
inferno5–13-0.0519%21 Feb →
mirage16–120.0124%21 Feb →
anubis13–80.0621%20 Feb →
dust213–7-0.0519%20 Feb →
nuke9–13-0.059%20 Feb →
dust213–80.0218%19 Feb →
nuke13–90.0015%19 Feb →
inferno7–13-0.0628%19 Feb →
nuke4–13-0.0524%19 Feb →
anubis13–90.0132%19 Feb →
mirage3–13-0.0614%19 Feb →
nuke13–110.0022%19 Feb →
dust213–50.0219%19 Feb →
dust213–11-0.0323%19 Feb →
dust210–130.0130%18 Feb →
anubis11–13-0.0217%18 Feb →
inferno13–70.0527%18 Feb →
mirage7–00.0927%18 Feb →
nuke13–100.0426%18 Feb →
dust213–7-0.0413%18 Feb →
nuke8–13-0.0521%18 Feb →
inferno7–13-0.0614%13 Feb →

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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