enana

enana — CS2 Stats

76561199572195766[U:1:1611930038]Steam profile ↗✓ No bans

572Tracked matches50%Win rate2024Tracked since
CSDB Rating2.7 LearningPositional Player
Premier CS Rating18,261Purple band · top ~15.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 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

Premier CS Rating: 18,261 +2,939 25 May – 7 Oct · 27 days played
14,33319,204peak 19,20425 May7 Oct
19,204Peak Premier in tracked matches
36Days played since 2026-05-25

Premier CS Rating

  • 943 below peak (19,204)
  • +1,558 over 30 days · improving
  • Next: Pink band at 20,000 — 1,739 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.

Share this profile

CSDB.GGenanaPREMIER18,261 · 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

Aim25
Positioning37
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY45–46–9Last 10045%Win rateLLLWWWWWLW

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · −1.5pp headshot accuracy · −63ms reaction

Win rate up 30pp 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 633ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 616ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 12%
  • Avg reaction 647ms

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 (+1.6 against its own average).

Aim2.5
Utility2.7
Positioning3.7
Opening Duels0.0

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

NiKo

Plays most like NiKo 71% 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. 661ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% 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

Aim2.5
Positioning3.7
Utility2.7
Mechanics2.0
Opening Duels0.3
Win Impact5.0

Composite 2.7/10 (Learning), 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-0.05+0.00
first ⅓ avg -0.06 → last ⅓ avg -0.05
Reaction time663ms+11ms
first ⅓ avg 652ms → last ⅓ avg 663ms
Headshot accuracy14.6%+2.8%
first ⅓ avg 11.9% → last ⅓ avg 14.6%

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

0.07Best match rating · 13–3 · cache, 7 Jun →
40%Best headshot accuracy · 1–6 · dust2, 24 Sept →
391msFastest reaction time · 5–13 · dust2, 31 May →
13–1Biggest win · nuke, 9 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
7–8In matches decided by ≤2 rounds
15Overtime games

Map breakdown

cacheBest map · 64% over 14overpassWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC249–1538%-0.05
dust2C187–1139%-0.06
cacheA149–564%-0.04
nukeA127–558%-0.04
infernoB84–450%-0.05
ancientD72–529%-0.07
anubisB63–350%-0.06
overpassD61–517%-0.07
vertigo—22–0100%-0.03
shelter—10–10%-0.05
office—10–10%-0.04
train—11–0100%-0.09

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.7%Headshot accuracy
33.3%Accuracy (enemy spotted)
34.0%Spray accuracy
59.0%Counter-strafing
14.1°Preaim
661msReaction time
32.1%T opening success
21.0%CT opening success
0.39Enemies flashed / flash
5.4%Flash assists
5.54HE damage / grenade
3.25Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.0977° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.6646% — below the 15% mark we flag

    Aim Training →
  3. 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 0.3886 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Overpass

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.1013%7 Oct →
cache9–13-0.0617%7 Oct →
mirage10–13-0.0512%5 Oct →
inferno13–10-0.048%4 Oct →
mirage13–40.0013%4 Oct →
anubis13–11-0.0521%4 Oct →
mirage13–5-0.109%4 Oct →
cache13–11-0.0511%4 Oct →
dust26–13-0.102%4 Oct →
dust213–4-0.058%4 Oct →
mirage11–13-0.0313%3 Oct →
dust26–13-0.115%1 Oct →
cache13–3-0.0317%1 Oct →
inferno10–13-0.0313%28 Sept →
anubis13–16-0.0711%28 Sept →
mirage13–4-0.0420%27 Sept →
cache15–15-0.1017%27 Sept →
ancient2–13-0.0712%27 Sept →
vertigo13–5-0.037%27 Sept →
mirage15–15-0.0512%27 Sept →
nuke13–11-0.069%27 Sept →
cache10–13-0.0737%26 Sept →
mirage2–13-0.0119%24 Sept →
dust21–6-0.0840%24 Sept →
anubis13–3-0.0017%24 Sept →
dust213–8-0.0722%24 Sept →
mirage13–11-0.0620%17 Sept →
nuke13–16-0.0213%17 Sept →
dust214–16-0.0516%16 Sept →
dust213–10-0.0420%16 Sept →
dust213–9-0.0226%9 Sept →
cache13–7-0.024%9 Sept →
anubis11–13-0.110%9 Sept →
inferno15–15-0.074%8 Sept →
mirage16–13-0.0710%8 Sept →
nuke10–13-0.0716%8 Sept →
anubis13–8-0.066%4 Sept →
nuke6–13-0.099%3 Sept →
cache13–11-0.099%1 Sept →
cache13–7-0.0421%1 Sept →
mirage13–8-0.0227%1 Sept →
ancient10–13-0.089%30 Aug →
cache13–8-0.0513%29 Aug →
dust213–5-0.0114%29 Aug →
mirage14–16-0.069%28 Aug →
nuke3–13-0.0920%28 Aug →
vertigo13–4-0.0414%11 Jul →
shelter12–12-0.0516%11 Jul →
nuke13–110.0111%11 Jul →
office6–13-0.044%11 Jul →
ancient13–8-0.109%11 Jul →
ancient15–15-0.078%16 Jun →
mirage8–13-0.0620%16 Jun →
dust211–13-0.0313%16 Jun →
dust24–13-0.0416%16 Jun →
ancient15–15-0.046%15 Jun →
nuke11–13-0.0317%14 Jun →
cache7–13-0.0911%14 Jun →
cache8–20.0115%14 Jun →
dust29–13-0.076%14 Jun →
mirage5–13-0.0614%14 Jun →
mirage8–13-0.0610%11 Jun →
nuke13–9-0.057%9 Jun →
nuke13–10.0111%9 Jun →
mirage8–13-0.064%8 Jun →
dust22–13-0.070%8 Jun →
mirage13–8-0.0113%8 Jun →
overpass7–13-0.0414%8 Jun →
ancient13–4-0.043%8 Jun →
anubis6–13-0.0813%8 Jun →
nuke6–1-0.030%8 Jun →
mirage6–13-0.064%8 Jun →
cache6–13-0.0316%7 Jun →
cache13–30.079%7 Jun →
mirage13–8-0.0719%7 Jun →
dust213–6-0.059%7 Jun →
inferno13–6-0.094%7 Jun →
mirage4–130.0113%5 Jun →
train13–6-0.0910%5 Jun →
dust23–13-0.1125%5 Jun →
dust213–3-0.0314%3 Jun →
overpass14–16-0.1024%2 Jun →
ancient10–13-0.066%2 Jun →
overpass13–8-0.0311%1 Jun →
inferno3–13-0.1020%1 Jun →
mirage16–14-0.0410%31 May →
nuke13–6-0.0716%31 May →
dust25–13-0.077%31 May →
inferno13–4-0.019%31 May →
overpass11–13-0.087%30 May →
inferno13–10-0.0515%30 May →
cache13–10-0.0213%29 May →
inferno12–12-0.0313%29 May →
nuke16–13-0.0613%29 May →
mirage6–13-0.119%28 May →
overpass15–15-0.0613%28 May →
mirage4–13-0.1019%28 May →
overpass8–13-0.1217%28 May →
mirage15–15-0.0311%25 May →
dust28–13-0.079%25 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.