enileda

enileda — CS2 Stats

76561198160495669[U:1:200229941]Steam profile ↗✓ No bans

1,979Tracked matches52%Win rate2020Tracked since
3,086Hours in CS21Hrs last 2 wks
CSDB Rating4.5 Developing
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=673), 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 2 medianLevel 3 medianvs Level 3
Headshot rate32.3%41.2%42.2%9.8% short
Shot accuracy10.9%12.5%11.9%1.0% short
Kill/death ratio0.970.960.98meets
Match win rate36.4%42.8%43.6%7.2% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGeniledaFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim41
Positioning55
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY41509Last 10041%Win rateLWWLLLTWLW

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Aim4.1
Aggression7.7
Utility3.5
Positioning5.5
Opening Duels4.3

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 82% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 596ms 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

Aim4.1
Positioning5.5
Utility3.5
Mechanics4.2
Opening Duels4.3
Win Impact5.6

Composite 4.5/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time599ms−58ms
first ⅓ avg 657ms → last ⅓ avg 599ms
Headshot accuracy11.0%−1.0%
first ⅓ avg 11.9% → last ⅓ avg 11.0%

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.

Highlights

0.16Best rating — mirage 13–3
131Biggest win — mirage
3Longest win streak
712In matches decided by ≤2 rounds

Map breakdown

overpassBest map · 60% over 5infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC29121741%0.02
nukeB189950%0.02
infernoD123925%0.01
shelterC94544%0.03
trainB84450%0.02
boulderC73443%0.05
overpassA53260%0.01
fachwerk43175%-0.01
vertigo3030%-0.03
ancient2020%-0.04
debris1010%-0.16
alpine1010%-0.02
cache1010%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

69,676Lifetime kills
0.97K/D · Top 50% of Level 2 players
4,860Matches
36.4%Match win rate
32.3%Headshot %
10.9%Shot accuracy
8,297MVPs
1,510Hours (in match)
5,172Bombs planted
1,045Bombs defused

Most-used weapons

AK-4715,721
Negev2,765
MP72,749
Knife2,264
AWP2,236
XM10142,224
MP91,649

Lifetime map wins

5,597dust2
4,917nuke
3,408inferno
1,323vertigo
695train
410office
344lake
181safehouse

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

Faceit stats

Combat

5Matches
0%Win rate
0.75Avg K/D
ADR
29%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

11.3%Headshot accuracy
34.2%Accuracy (enemy spotted)
39.0%Spray accuracy
68.9%Counter-strafing
13.4°Preaim
596msReaction time
44.7%T opening success
49.4%CT opening success
0.39Enemies flashed / flash
4.2%Flash assists
4.67HE damage / grenade
10.62Flashes / 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 13.3966° — 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 11.3363% — 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 0.3909 — below the 0.5 mark we flag

    Grenade Lineups
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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0112%29 Aug
overpass13–60.0114%29 Aug
train13–9-0.0210%29 Aug
overpass11–13-0.0310%29 Aug
train0–13-0.036%29 Aug
mirage7–130.0213%28 Aug
mirage12–120.0614%28 Aug
train13–30.0818%28 Aug
inferno9–130.0017%28 Aug
inferno13–60.018%28 Aug
overpass13–70.0513%28 Aug
train13–80.0310%28 Aug
mirage9–13-0.028%28 Aug
mirage13–10-0.027%26 Aug
train8–10.026%26 Aug
vertigo4–13-0.008%26 Aug
train11–130.1117%25 Aug
train11–13-0.0318%23 Aug
inferno12–120.1511%23 Aug
boulder13–110.049%22 Aug
inferno12–12-0.059%22 Aug
vertigo7–130.0114%20 Aug
inferno10–13-0.0314%19 Aug
mirage13–11-0.018%19 Aug
nuke13–100.028%18 Aug
mirage13–11-0.039%18 Aug
nuke8–130.047%16 Aug
mirage13–10.0714%16 Aug
nuke6–130.046%16 Aug
nuke13–90.0317%16 Aug
mirage7–130.0414%15 Aug
nuke13–8-0.038%15 Aug
mirage12–120.007%11 Aug
mirage13–20.0116%11 Aug
mirage13–4-0.0621%10 Aug
nuke2–60.009%10 Aug
mirage7–130.0110%9 Aug
nuke11–13-0.047%8 Aug
mirage11–130.1113%8 Aug
mirage1–13-0.0710%8 Aug
mirage13–70.0812%8 Aug
nuke11–40.0010%8 Aug
nuke13–90.0316%8 Aug
mirage11–130.0217%7 Aug
mirage13–20.0512%7 Aug
mirage8–130.059%3 Aug
inferno13–80.0017%3 Aug
inferno8–130.068%1 Aug
nuke11–130.0012%1 Aug
nuke13–5-0.035%1 Aug
boulder12–120.0418%1 Aug
boulder12–120.1313%1 Aug
shelter13–110.0611%1 Aug
boulder4–13-0.017%31 Jul
fachwerk10–13-0.0215%29 Jul
inferno11–130.0713%29 Jul
fachwerk13–11-0.0511%28 Jul
mirage7–13-0.086%28 Jul
boulder13–40.1212%28 Jul
nuke13–80.0514%28 Jul
debris2–9-0.1614%27 Jul
inferno13–8-0.0411%27 Jul
train3–13-0.0112%26 Jul
shelter5–13-0.029%26 Jul
mirage13–9-0.0216%26 Jul
mirage13–30.1616%26 Jul
nuke13–90.066%26 Jul
nuke5–130.0823%26 Jul
shelter6–30.0722%26 Jul
nuke8–130.0211%26 Jul
fachwerk13–11-0.038%26 Jul
nuke13–70.068%25 Jul
mirage11–13-0.0414%25 Jul
mirage13–110.0110%20 Jul
shelter12–120.089%20 Jul
mirage13–70.0510%16 Jul
boulder13–10.052%13 Jul
shelter13–7-0.068%13 Jul
boulder8–13-0.056%11 Jul
inferno9–130.036%11 Jul
shelter2–130.02100%11 Jul
shelter12–12-0.039%11 Jul
shelter12–120.0310%11 Jul
mirage11–13-0.056%10 Jul
fachwerk13–30.0614%10 Jul
shelter12–80.086%10 Jul
mirage7–130.0621%8 Jul
inferno7–13-0.059%6 Jul
alpine8–13-0.026%5 Jul
mirage7–130.0611%5 Jul
ancient11–13-0.0811%3 Jul
overpass1–13-0.020%3 Jul
vertigo5–13-0.111%1 Jul
mirage11–130.0412%30 Jun
cache4–13-0.080%30 Jun
nuke10–13-0.018%30 Jun
mirage2–90.008%25 Jun
nuke9–13-0.018%25 Jun
inferno7–130.039%24 Jun
overpass13–40.058%24 Jun

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 →