Dark.

Dark. — CS2 Stats

76561198001223010[U:1:40957282]Steam profile ↗✓ No bans

143Tracked matches47%Win rate2023Tracked since
CSDB Rating4.9 DevelopingSupport
Ladder ranks via Leetify

Performance scores

Aim49
Positioning46
Utility74

0–100 skill scores via Leetify.

Recent form

COLD54433Last 10054%Win rateWWLWLLLLLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim4.9
Aggression2.3
Utility7.4
Positioning4.6
Opening Duels0.0

Effective flashes

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 77% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 590ms 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

Aim4.9
Positioning4.6
Utility7.4
Mechanics6.2
Opening Duels0.6
Win Impact3.9

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-0.03−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.03
Reaction time585ms−22ms
first ⅓ avg 607ms → last ⅓ avg 585ms
Headshot accuracy18.2%+1.5%
first ⅓ avg 16.7% → last ⅓ avg 18.2%

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

0.19Best rating — dust2 13–0
130Biggest win — mirage
8Longest win streak
W2Current streak
58In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 70% over 10infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B43232053%-0.00
mirageA1911858%0.02
ancientS107370%-0.02
cacheA95456%-0.01
infernoC83538%-0.03
anubisC52340%0.02
nuke31233%-0.06
overpass220100%-0.03
train1010%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno 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.

17.9%Headshot accuracy
29.5%Accuracy (enemy spotted)
29.7%Spray accuracy
77.7%Counter-strafing
11.5°Preaim
590msReaction time
20.8%T opening success
35.1%CT opening success
0.78Enemies flashed / flash
9.1%Flash assists
9.77HE damage / grenade
17.57Flashes / 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

    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 20.7664% — below the 40% mark we flag

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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–9-0.0016%28 Aug
dust213–8-0.0116%27 Aug
mirage2–130.0033%27 Aug
dust213–9-0.0119%13 Jul
inferno6–13-0.0611%13 Jul
cache5–13-0.0421%13 Jul
ancient10–13-0.0512%13 Jul
dust211–13-0.0619%12 Jul
cache4–13-0.0816%12 Jul
dust211–130.0114%12 Jul
dust23–13-0.0012%12 Jul
anubis11–13-0.0318%11 Jul
dust28–13-0.0721%11 Jul
dust213–11-0.035%11 Jul
dust213–8-0.0322%9 Jul
cache9–13-0.0415%9 Jul
cache13–100.0423%9 Jul
mirage4–13-0.0915%9 Jul
mirage13–90.0516%6 Jul
dust213–60.0222%6 Jul
dust216–140.0032%6 Jul
ancient13–8-0.0516%6 Jul
dust211–130.0417%6 Jul
mirage4–130.0419%5 Jul
mirage13–4-0.0215%5 Jul
ancient11–13-0.0326%5 Jul
inferno13–8-0.0713%5 Jul
anubis13–80.0431%5 Jul
nuke11–13-0.0818%4 Jul
overpass16–13-0.079%4 Jul
anubis13–9-0.0425%4 Jul
mirage13–7-0.0629%4 Jul
inferno5–13-0.0510%3 Jul
ancient13–11-0.089%3 Jul
ancient13–8-0.067%3 Jul
mirage13–40.0729%2 Jul
mirage13–40.0416%2 Jul
mirage13–00.1331%2 Jul
dust24–13-0.0227%2 Jul
dust213–9-0.0124%2 Jul
dust210–10.0225%2 Jul
ancient11–13-0.0413%1 Jul
dust214–16-0.0119%1 Jul
ancient13–7-0.0015%1 Jul
ancient13–10.0517%1 Jul
mirage13–80.0310%1 Jul
mirage13–100.0416%1 Jul
dust213–100.0115%1 Jul
mirage13–90.0024%1 Jul
ancient13–40.0326%29 Jun
mirage13–5-0.0014%29 Jun
dust25–130.0122%29 Jun
dust26–13-0.1025%29 Jun
dust22–130.0118%29 Jun
dust213–6-0.0118%29 Jun
dust212–12-0.034%28 Jun
dust213–90.0112%28 Jun
dust26–130.0122%28 Jun
dust213–8-0.0519%28 Jun
dust213–110.0420%28 Jun
dust213–100.0112%28 Jun
dust213–7-0.0422%28 Jun
dust212–120.0119%27 Jun
dust213–00.1921%27 Jun
dust210–13-0.038%27 Jun
dust213–10.0215%27 Jun
dust23–00.0638%25 Jun
dust213–80.0015%25 Jun
mirage7–13-0.0026%23 Jun
dust29–13-0.0311%22 Jun
nuke8–3-0.0833%22 Jun
mirage5–130.0220%22 Jun
mirage9–130.0212%22 Jun
dust28–130.0823%22 Jun
mirage8–13-0.0311%22 Jun
nuke6–13-0.0115%19 Jun
dust23–13-0.1114%19 Jun
inferno13–4-0.0114%19 Jun
mirage13–50.0411%19 Jun
ancient13–90.0017%19 Jun
dust213–90.0817%19 Jun
anubis3–130.0722%18 Jun
dust25–130.0828%18 Jun
cache13–70.0220%8 May
cache13–11-0.0510%8 May
overpass13–30.0112%3 May
mirage9–130.0319%3 May
cache13–10-0.0216%3 May
cache10–130.0317%2 May
cache13–100.0217%2 May
dust24–13-0.0724%2 May
inferno9–130.049%2 May
anubis7–130.0713%2 May
dust213–50.0422%2 May
inferno4–130.0318%1 May
train12–120.017%1 May
dust25–13-0.0921%1 May
dust213–5-0.029%1 May
dust213–70.019%1 May
inferno7–13-0.0919%1 May

Match data via Leetify.

Recent teammates

Milestones

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