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afeno

afeno — CS2 Stats

BT76561199163930695[U:1:1203664967]Steam profile ↗✓ No bans

759Tracked matches61%Win rate2024Tracked since
1,182Hours in CS20Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating15,684Purple band · top ~25.7% of ranked players (population est.)
CSDB Leaderboard#139010 of 257910 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (yesterday). 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

15,684Peak Premier in tracked matches
38Days played since 2026-09-03

Premier CS Rating

  • At peak — 15,684
  • Next: Pink band at 20,000 — 4,316 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 Level 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate49.7%42.7%43.8%above
Shot accuracy1.1%11.2%12.0%10.9% short
Kill/death ratio0.900.991.020.11 short
Match win rate43.8%43.9%44.7%0.9% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGafenoFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,684 · 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

Aim46
Positioning59
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateWWWWLLLLWL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −3.3pp headshot accuracy · +91ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 11%
  • Avg reaction 750ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 724ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 678ms

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 (+2.7 against its own average).

Aim4.6
Utility2.3
Positioning5.9
Opening Duels4.5
Clutch0.0

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

s1mple

Plays most like s1mple 81% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 669ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.6
Positioning5.9
Utility2.3
Mechanics4.3
Opening Duels4.4
Win Impact8.6

Composite 4.9/10 (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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time690ms−71ms
first ⅓ avg 760ms → last ⅓ avg 690ms
Headshot accuracy16.6%−4.9%
first ⅓ avg 21.5% → last ⅓ avg 16.6%

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

0.17Best match rating · 13–1 · mirage, 5 Sept →
100%Best headshot accuracy · 13–0 · nuke, 16 Sept →
422msFastest reaction time · 13–3 · nuke, 29 Sept →
13–0Biggest win · nuke, 29 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
5–5In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 80% over 5nukeWeakest map · 49% over 86
MapGradePlayedRecordWin rateAvg rating
nukeB8642–4449%0.01
mirageS54–180%0.06
dust2—42–250%0.03
shelter—21–150%-0.04
anubis—11–0100%0.10
office—10–10%0.00
inferno—11–0100%0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (49% over 86). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,136Lifetime kills
0.90K/D
1,486Matches
43.8%Match win rate
49.7%Headshot % · Top 25% of Level 4 players
1.1%Shot accuracy
3,174MVPs
703Hours (in match)
1,039Bombs planted
472Bombs defused

Most-used weapons

AK-476,085
Desert Eagle3,681
M4A4 / M4A1-S2,605
AWP2,410
P2000 / USP-S2,007
Glock-181,315
SSG 081,037
MAG-7690
Tec-9490
Galil AR306

Lifetime map wins

7,412nuke
868inferno
836dust2
440vertigo
217office
125train
9lake
2ar_shoots

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

Faceit stats

Combat

16Matches
62%Win rate
0.89Avg K/D
71.1ADR
48%Headshot %

Clutches & streaks

18%1v1 clutch win
17%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust2560%0.9713.4
Mirage450%0.5210.0
Anubis333%1.1719.3
Ancient2100%0.8418.5
Inferno2100%1.0415.5

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.

17.2%Headshot accuracy
33.8%Accuracy (enemy spotted)
38.0%Spray accuracy
69.2%Counter-strafing
11.6°Preaim
669msReaction time
49.7%T opening success
45.4%CT opening success
0.30Enemies flashed / flash
2.2%Flash assists
7.57HE damage / grenade
3.35Flashes / 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 0.296 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

49% win rate across 86 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–50.1021%26 Oct →
nuke10–20.105%24 Oct →
nuke13–30.1023%24 Oct →
dust24–1-0.030%24 Oct →
nuke6–13-0.074%23 Oct →
nuke8–130.0426%22 Oct →
nuke5–13-0.0111%20 Oct →
office11–130.0022%20 Oct →
nuke13–11-0.0217%20 Oct →
mirage9–9-0.0414%20 Oct →
nuke13–100.0522%20 Oct →
nuke12–12-0.0315%20 Oct →
nuke13–70.0226%19 Oct →
nuke13–40.0622%18 Oct →
shelter5–13-0.0810%17 Oct →
nuke13–60.0121%17 Oct →
nuke13–60.1217%17 Oct →
nuke13–60.1516%17 Oct →
nuke12–12-0.0713%15 Oct →
nuke13–8-0.0316%15 Oct →
nuke4–13-0.0528%15 Oct →
nuke13–6-0.009%14 Oct →
nuke11–130.0825%14 Oct →
nuke10–130.0712%14 Oct →
nuke13–70.0424%13 Oct →
inferno13–100.0522%10 Oct →
mirage7–4-0.0318%10 Oct →
dust25–130.1117%10 Oct →
nuke10–130.039%8 Oct →
dust213–10.0811%7 Oct →
mirage13–20.0812%7 Oct →
nuke13–50.0718%4 Oct →
dust21–13-0.0324%2 Oct →
nuke4–13-0.105%2 Oct →
shelter13–7-0.0116%1 Oct →
nuke13–80.0619%30 Sept →
nuke6–12-0.068%30 Sept →
nuke4–13-0.0217%29 Sept →
nuke13–3-0.0414%29 Sept →
nuke13–0-0.0138%29 Sept →
nuke13–3-0.0120%29 Sept →
nuke4–13-0.0140%28 Sept →
nuke10–13-0.065%28 Sept →
nuke1–13-0.1850%28 Sept →
nuke4–13-0.0815%26 Sept →
nuke8–13-0.0160%25 Sept →
nuke10–13-0.060%25 Sept →
nuke13–110.0014%25 Sept →
mirage13–70.108%20 Sept →
nuke10–130.0413%20 Sept →
nuke4–130.0226%20 Sept →
nuke1–13-0.0719%20 Sept →
nuke13–80.1417%19 Sept →
nuke13–6-0.0510%18 Sept →
nuke8–13-0.0810%18 Sept →
nuke13–00.0075%16 Sept →
nuke12–12-0.0725%16 Sept →
nuke13–90.0316%16 Sept →
nuke7–13-0.0324%16 Sept →
nuke13–110.028%16 Sept →
nuke13–00.06100%16 Sept →
nuke13–8-0.0812%15 Sept →
nuke13–30.0415%14 Sept →
nuke6–13-0.0119%13 Sept →
nuke13–60.0724%12 Sept →
nuke3–13-0.1425%11 Sept →
nuke12–120.0617%11 Sept →
nuke9–2-0.0717%10 Sept →
nuke2–13-0.0714%10 Sept →
nuke4–13-0.0029%10 Sept →
nuke13–70.0823%10 Sept →
nuke13–20.0738%10 Sept →
nuke13–9-0.0222%10 Sept →
nuke4–13-0.0219%10 Sept →
nuke5–13-0.0214%9 Sept →
nuke12–12-0.0533%9 Sept →
nuke5–13-0.0221%9 Sept →
nuke10–130.0519%9 Sept →
nuke6–13-0.0721%9 Sept →
nuke13–11-0.0613%9 Sept →
nuke11–130.0824%8 Sept →
nuke13–1-0.0028%8 Sept →
nuke13–2-0.0129%6 Sept →
nuke10–130.0415%5 Sept →
nuke2–13-0.0326%5 Sept →
mirage13–10.1721%5 Sept →
nuke13–90.0421%5 Sept →
nuke13–70.0624%5 Sept →
nuke12–120.0926%4 Sept →
nuke13–70.0311%4 Sept →
nuke2–5-0.0333%4 Sept →
nuke13–40.0025%4 Sept →
nuke5–60.0828%4 Sept →
nuke9–130.0617%4 Sept →
nuke13–6-0.0224%4 Sept →
nuke10–50.0213%4 Sept →
nuke10–110.1114%4 Sept →
nuke12–12-0.0413%4 Sept →
nuke10–130.0813%4 Sept →
nuke13–80.0420%3 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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