stenarn

stenarn — CS2 Stats

SE76561197962318628[U:1:2052900]Steam profile ↗

1,141Tracked matches50%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPassive Rifler
Premier CS Rating17,640Purple band · top ~17.9% of ranked players (population est.)
CSDB Leaderboard#15586 of 29538 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGstenarnFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER17,640 · Purple bandcsdb.gg/stats

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Performance scores

Aim62
Positioning42
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY49492Last 10049%Win rateLLWWWLWWLL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.2
Aggression2.9
Utility4.8
Positioning4.2
Opening Duels0.0
Clutch4.8

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

NiKo

Plays most like NiKo 79% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 557ms 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

Aim6.2
Positioning4.2
Utility4.8
Mechanics6.2
Opening Duels0.0
Win Impact5.0

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 rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time567ms−15ms
first ⅓ avg 581ms → last ⅓ avg 567ms
Headshot accuracy14.5%+0.0%
first ⅓ avg 14.5% → last ⅓ avg 14.5%

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

0.13Best rating — ancient 13–3
130Biggest win — ancient
7Longest win streak
L2Current streak
58In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 80% over 20anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageS2016480%-0.00
dust2D1551033%-0.02
nukeB158753%0.01
ancientA138562%0.01
infernoA127558%-0.02
anubisD92722%-0.00
overpassC83538%0.01
vertigo4040%-0.04
cache_b3030%-0.01
train1010%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

199Matches
53%Win rate
1.11Avg K/D
76.3ADR
37%Headshot %

Clutches & streaks

44%1v1 clutch win
26%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis1080%1.3715.7
Dust2933%0.8915.0
Ancient729%0.9811.7
Mirage757%1.2214.6
Vertigo757%1.0517.9
Inferno714%0.7611.6
Nuke633%1.0714.2

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.

14.3%Headshot accuracy
33.4%Accuracy (enemy spotted)
32.0%Spray accuracy
77.7%Counter-strafing
9.4°Preaim
557msReaction time
26.0%T opening success
24.3%CT opening success
0.38Enemies flashed / flash
4.5%Flash assists
9.77HE damage / grenade
7.13Flashes / 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. 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 14.2797% — below the 15% mark we flag

    Aim Training
  2. 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 0.3759 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 25.9836% — below the 40% mark we flag

Spend your practice time on Anubis

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo11–130.0013%14 May
dust28–13-0.0116%14 May
inferno16–12-0.0216%29 Apr
ancient16–130.0115%29 Apr
dust213–100.0321%26 Apr
ancient13–16-0.046%26 Apr
dust216–14-0.0111%25 Apr
ancient13–00.0228%25 Apr
nuke8–13-0.0211%25 Apr
ancient16–19-0.0710%24 Apr
cache_b6–13-0.0210%24 Apr
mirage13–110.0416%23 Apr
ancient14–16-0.0513%22 Apr
anubis19–150.0321%22 Apr
mirage13–8-0.048%22 Apr
vertigo14–16-0.0716%22 Apr
dust20–13-0.0828%22 Apr
dust27–13-0.0517%22 Apr
dust213–9-0.0311%22 Apr
inferno13–50.005%15 Apr
vertigo7–13-0.0114%15 Apr
vertigo3–13-0.0911%8 Apr
ancient13–70.0621%8 Apr
overpass8–13-0.0217%8 Apr
cache_b10–130.0319%8 Apr
nuke13–40.1012%8 Apr
mirage13–10.0511%7 Apr
inferno13–9-0.0215%7 Apr
mirage13–100.0316%30 Mar
cache_b6–13-0.036%30 Mar
overpass3–130.0012%28 Mar
dust22–13-0.0115%28 Mar
mirage13–8-0.0017%28 Mar
nuke6–13-0.0339%28 Mar
anubis8–13-0.0614%28 Mar
inferno10–13-0.0211%28 Mar
ancient13–30.1317%28 Mar
anubis6–13-0.0414%28 Mar
nuke16–13-0.0012%28 Mar
nuke13–6-0.0114%26 Mar
mirage12–70.0119%26 Mar
nuke10–130.0521%23 Mar
dust29–13-0.0425%23 Mar
anubis3–13-0.0218%19 Mar
ancient13–70.0511%19 Mar
dust26–13-0.0719%19 Mar
nuke3–13-0.0423%19 Mar
mirage13–50.0729%17 Mar
dust210–130.0413%17 Mar
anubis11–13-0.0229%17 Mar
mirage13–40.0217%17 Mar
nuke7–13-0.0113%13 Mar
mirage8–13-0.049%13 Mar
dust211–13-0.0218%10 Mar
anubis6–13-0.0212%10 Mar
mirage13–9-0.0222%10 Mar
dust213–60.0619%9 Mar
anubis13–80.0519%9 Mar
ancient13–30.0511%9 Mar
nuke13–40.0216%9 Mar
mirage13–7-0.0513%3 Mar
mirage13–11-0.019%3 Mar
inferno5–13-0.0721%3 Mar
mirage13–11-0.0211%22 Feb
nuke8–13-0.0318%21 Feb
mirage2–13-0.058%21 Feb
overpass13–50.0311%21 Feb
inferno13–100.0411%21 Feb
anubis8–130.0222%21 Feb
nuke13–70.007%11 Jan
nuke11–130.0414%11 Jan
mirage8–130.0027%11 Jan
ancient8–13-0.0316%10 Jan
overpass13–30.0319%10 Jan
inferno13–7-0.0414%7 Jan
mirage13–20.0510%7 Jan
inferno15–15-0.0213%6 Jan
ancient13–110.0611%6 Jan
mirage8–13-0.0314%6 Jan
overpass11–13-0.0219%4 Jan
mirage13–10-0.0417%4 Jan
train10–13-0.0312%4 Jan
nuke13–10-0.007%4 Jan
inferno9–13-0.0213%3 Jan
mirage13–9-0.008%3 Jan
inferno13–7-0.0015%3 Jan
mirage13–20.008%3 Jan
overpass13–40.1131%3 Jan
nuke13–7-0.016%3 Jan
ancient2–130.0221%3 Jan
overpass15–15-0.0311%3 Jan
dust28–13-0.054%3 Jan
inferno13–8-0.0214%29 Dec
overpass11–130.0124%29 Dec
nuke13–50.0911%29 Dec
ancient16–12-0.0814%27 Jun
dust213–90.0623%27 Jun
anubis8–130.0419%27 Jun
dust24–13-0.0910%22 Jun
inferno7–13-0.0214%14 Feb

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 →