Aneza

Aneza — CS2 Stats

US76561198804675885[U:1:844410157]Steam profile ↗✓ No bans

2,760Tracked matches55%Win rate2022Tracked since
3,476Hours in CS10Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating16,603Purple band · top ~22% of ranked players (population est.)
WingmanSilver II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (3 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: 16,603 +2,820 2 Aug – 13 Oct · 35 days played
13,78317,950peak 17,9502 Aug13 Oct
18,187Peak Premier in tracked matches
35Days played since 2026-08-02

Premier CS Rating

  • 1,347 below peak (17,950)
  • -421 over 30 days · declining
  • Next: Pink band at 20,000 — 3,397 to go
  • Reached: 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.

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 rate40.2%44.3%46.9%6.7% short
Shot accuracy5.3%11.9%13.0%7.7% short
Kill/death ratio0.981.031.080.10 short
Match win rate43.7%45.2%46.7%3.0% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Shot accuracy. 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.GGAnezaPREMIER16,603 · Purple bandcsdb.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

Aim69
Positioning56
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY57–40–3Last 10057%Win rateWLWWWLLLWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +1.0pp headshot accuracy · −15ms reaction

Win rate −10pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 578ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 570ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 578ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim6.9
Utility3.0
Positioning5.6
Opening Duels3.4
Clutch4.6

Strong CT-side openerLimited 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

donk

Plays most like donk 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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. 584ms 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

Aim6.9
Positioning5.6
Utility3.0
Mechanics6.9
Opening Duels6.1
Win Impact6.7

Composite 6.0/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time588ms−46ms
first ⅓ avg 635ms → last ⅓ avg 588ms
Headshot accuracy17.4%−1.2%
first ⅓ avg 18.7% → last ⅓ avg 17.4%

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

0.13Best match rating · 13–6 · inferno, 1 Oct →
37%Best headshot accuracy · 3–13 · dust2, 4 Oct →
453msFastest reaction time · 13–7 · ancient, 29 Sept →
13–0Biggest win · dust2, 2 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 64% over 11dust2Weakest map · 45% over 22
MapGradePlayedRecordWin rateAvg rating
mirageA2515–1060%0.00
dust2B2210–1245%-0.00
ancientA159–660%-0.00
infernoA127–558%0.01
cacheA117–464%0.01
nukeA106–460%-0.00
anubisA53–260%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (45% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,945Lifetime kills
0.98K/D
3,896Matches
43.7%Match win rate
40.2%Headshot %
5.3%Shot accuracy
7,515MVPs
1,926Hours (in match)
1,895Bombs planted
870Bombs defused

Most-used weapons

AK-4716,250
AWP10,755
SSG 082,034
MP91,954
MAC-101,458
P2501,022

Lifetime map wins

6,501nuke
5,405inferno
4,304dust2
2,715vertigo
340train
202office
49italy
28lake

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

Faceit stats

Combat

145Matches
48%Win rate
1.02Avg K/D
76.4ADR
38%Headshot %

Clutches & streaks

43%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4358%1.0113.8
Inferno2045%0.8311.7
Anubis1926%0.8914.5
Ancient1759%1.2715.3
Dust21735%1.0514.3
Vertigo1533%0.9214.2
Nuke1267%1.3917.2
Train2100%0.7817.5

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.

17.4%Headshot accuracy
33.7%Accuracy (enemy spotted)
34.2%Spray accuracy
81.2%Counter-strafing
9.1°Preaim
584msReaction time
56.3%T opening success
52.2%CT opening success
0.39Enemies flashed / flash
3.3%Flash assists
5.00HE damage / grenade
4.32Flashes / 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 0.3891 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

45% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno16–13-0.084%13 Oct →
dust29–13-0.0219%13 Oct →
mirage13–100.009%13 Oct →
cache13–80.0418%13 Oct →
mirage13–50.0719%7 Oct →
mirage1–130.0012%6 Oct →
ancient6–130.0927%5 Oct →
dust23–13-0.0437%4 Oct →
cache13–90.0722%2 Oct →
mirage13–6-0.0512%2 Oct →
mirage13–9-0.007%2 Oct →
dust213–00.065%2 Oct →
inferno13–11-0.0416%1 Oct →
ancient4–13-0.0214%1 Oct →
inferno13–60.1317%1 Oct →
inferno5–13-0.0319%1 Oct →
dust213–80.0419%30 Sept →
anubis13–100.0320%30 Sept →
ancient8–130.0432%30 Sept →
ancient13–7-0.0217%29 Sept →
dust28–13-0.0122%29 Sept →
mirage13–100.0818%29 Sept →
dust27–13-0.0423%29 Sept →
nuke5–13-0.0418%29 Sept →
dust213–50.0417%29 Sept →
ancient9–13-0.0313%28 Sept →
dust29–13-0.0113%26 Sept →
mirage15–150.0517%26 Sept →
anubis13–60.0227%25 Sept →
dust211–13-0.0318%25 Sept →
cache3–13-0.1518%25 Sept →
mirage13–60.0518%25 Sept →
cache13–50.0311%24 Sept →
mirage13–7-0.0124%24 Sept →
nuke13–50.0514%19 Sept →
ancient4–13-0.0522%19 Sept →
inferno11–13-0.0112%16 Sept →
nuke13–110.0118%15 Sept →
inferno7–13-0.029%15 Sept →
mirage6–130.0115%14 Sept →
mirage13–11-0.0622%14 Sept →
dust210–130.015%13 Sept →
mirage9–13-0.0610%13 Sept →
ancient13–40.0415%11 Sept →
mirage13–9-0.0319%11 Sept →
nuke8–13-0.0210%11 Sept →
mirage8–13-0.0211%10 Sept →
mirage13–11-0.0116%9 Sept →
ancient11–13-0.0520%9 Sept →
nuke13–11-0.0616%9 Sept →
mirage13–60.049%7 Sept →
cache11–130.0318%3 Sept →
mirage16–130.0021%3 Sept →
dust213–10-0.0125%3 Sept →
cache13–5-0.028%2 Sept →
mirage10–13-0.0315%2 Sept →
cache13–110.1010%22 Aug →
mirage6–13-0.0619%22 Aug →
cache13–40.0526%22 Aug →
dust26–13-0.0214%22 Aug →
inferno13–60.025%22 Aug →
ancient13–8-0.0015%22 Aug →
ancient13–11-0.0121%20 Aug →
inferno4–13-0.0325%20 Aug →
inferno13–100.1023%20 Aug →
cache8–13-0.0522%20 Aug →
dust213–90.0127%19 Aug →
dust213–10-0.068%19 Aug →
mirage13–5-0.0128%19 Aug →
ancient13–70.035%19 Aug →
anubis11–130.0129%19 Aug →
mirage13–110.0726%18 Aug →
nuke15–150.0321%18 Aug →
inferno12–160.0420%18 Aug →
dust213–40.0424%17 Aug →
ancient13–7-0.0610%17 Aug →
mirage1–130.0012%17 Aug →
mirage16–14-0.0313%17 Aug →
cache13–8-0.0112%17 Aug →
mirage7–130.0120%17 Aug →
dust211–13-0.0222%16 Aug →
dust213–110.0015%16 Aug →
inferno16–130.0121%16 Aug →
dust28–13-0.0722%15 Aug →
dust213–50.0530%15 Aug →
ancient13–5-0.0218%15 Aug →
nuke13–50.0124%15 Aug →
dust211–130.0214%15 Aug →
mirage15–150.0325%15 Aug →
nuke13–80.0129%15 Aug →
nuke6–13-0.0617%15 Aug →
nuke13–110.0719%15 Aug →
dust213–100.0119%11 Aug →
ancient5–1-0.0225%11 Aug →
anubis13–70.0219%4 Aug →
dust27–13-0.0131%3 Aug →
ancient13–60.0411%3 Aug →
inferno13–8-0.0013%3 Aug →
anubis5–13-0.090%2 Aug →
cache11–130.0017%2 Aug →

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.