purple

purple — CS2 Stats

US76561198027714166[U:1:67448438]Steam profile ↗

3,055Tracked matches63%Win rate2020Tracked since
CSDB Rating5.5 SolidPassive Rifler
Premier CS Rating14,509Blue band · top ~31% of ranked players (population est.)
CSDB Leaderboard#5302 of 7888 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGpurpleFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER14,509 · Blue bandcsdb.gg/stats

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Performance scores

Aim62
Positioning47
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY503713Last 10050%Win rateLTTLWLLWWW

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

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

Aim6.2
Aggression3.3
Utility6.7
Positioning4.7
Opening Duels0.3
Clutch3.2

Strong CT-side openerEffective 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 84% 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

Strengths

Flashes. 0.82 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 39% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 611ms 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
Positioning4.7
Utility6.7
Mechanics6.4
Opening Duels1.1
Win Impact9.3

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time617ms−42ms
first ⅓ avg 659ms → last ⅓ avg 617ms
Headshot accuracy18.0%+0.8%
first ⅓ avg 17.2% → last ⅓ avg 18.0%

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

0.07Best rating — dust2 13–4
130Biggest win — dust2
7Longest win streak
66In matches decided by ≤2 rounds

Map breakdown

MapGradePlayedRecordWin rateAvg rating
dust2B98504851%-0.01
cache2020%0.00

Across the last 100 tracked matches.

Faceit stats

Combat

588Matches
51%Win rate
1.00Avg K/D
66.4ADR
39%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient5147%0.8614.3
Anubis4132%0.7410.9
Dust23070%0.9913.5
Inferno1136%0.9712.6
Nuke1136%0.7812.7
Mirage367%0.9210.7

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.

17.9%Headshot accuracy
31.7%Accuracy (enemy spotted)
31.9%Spray accuracy
78.8%Counter-strafing
8.7°Preaim
611msReaction time
23.1%T opening success
39.0%CT opening success
0.82Enemies flashed / flash
6.5%Flash assists
14.06HE damage / grenade
6.38Flashes / 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 23.1118% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0213%23 Aug
dust212–120.0016%23 Aug
dust212–12-0.0522%23 Aug
dust210–130.0010%22 Aug
dust213–60.0212%22 Aug
dust29–130.0020%22 Aug
dust25–13-0.0628%22 Aug
dust213–110.0124%22 Aug
dust213–9-0.0435%15 Aug
dust213–50.0442%15 Aug
dust213–40.0211%15 Aug
dust213–60.0023%15 Aug
dust213–30.0320%15 Aug
dust213–4-0.0821%15 Aug
dust211–130.0111%9 Aug
dust21–13-0.0432%9 Aug
dust213–11-0.009%9 Aug
dust213–10.0618%9 Aug
dust213–60.0216%8 Aug
dust210–13-0.0315%8 Aug
dust212–12-0.0814%8 Aug
dust213–6-0.0212%8 Aug
dust210–130.0215%2 Aug
dust213–9-0.0113%2 Aug
dust213–80.0517%2 Aug
dust27–130.0226%1 Aug
dust213–90.0013%1 Aug
dust213–20.0610%1 Aug
dust213–10-0.0415%1 Aug
dust211–13-0.0617%1 Aug
dust21–7-0.0917%1 Aug
dust213–0-0.0016%1 Aug
dust213–20.0312%26 Jul
dust213–9-0.0211%26 Jul
dust213–40.0718%26 Jul
dust213–7-0.0416%26 Jul
dust213–6-0.0117%26 Jul
dust213–80.0118%25 Jul
dust26–13-0.0414%25 Jul
dust212–12-0.0312%25 Jul
dust213–50.0313%25 Jul
dust213–8-0.0119%25 Jul
dust211–13-0.0216%28 Jun
dust28–13-0.0810%28 Jun
dust25–13-0.0629%27 Jun
dust213–4-0.0113%27 Jun
dust25–13-0.0514%21 Jun
dust210–13-0.0425%21 Jun
dust211–130.0214%21 Jun
dust212–12-0.0215%21 Jun
dust29–13-0.0210%20 Jun
dust213–80.0121%20 Jun
dust212–12-0.065%20 Jun
dust213–7-0.0024%20 Jun
dust212–120.0615%20 Jun
dust213–5-0.068%20 Jun
dust210–130.0413%13 Jun
dust213–8-0.0417%13 Jun
dust29–13-0.065%13 Jun
dust213–11-0.0715%13 Jun
dust26–13-0.0213%7 Jun
dust24–13-0.0615%7 Jun
dust213–20.0626%7 Jun
dust210–13-0.0519%6 Jun
dust212–12-0.0216%6 Jun
dust213–30.0122%6 Jun
dust213–7-0.0717%6 Jun
cache12–120.0414%6 Jun
dust210–13-0.0116%6 Jun
dust213–90.0115%31 May
dust213–30.0415%31 May
dust212–12-0.066%31 May
dust29–13-0.0214%31 May
dust213–40.0513%30 May
dust213–9-0.0324%30 May
dust213–50.019%30 May
dust212–120.058%30 May
dust23–13-0.124%24 May
dust25–13-0.0020%24 May
dust213–11-0.0117%24 May
dust213–11-0.0318%24 May
dust26–130.0315%23 May
dust213–9-0.0413%23 May
dust213–8-0.0216%23 May
dust27–13-0.047%23 May
dust213–110.0111%17 May
dust212–120.0220%17 May
dust210–130.0515%17 May
dust213–7-0.0210%10 May
dust212–12-0.0022%10 May
dust213–10-0.0211%10 May
cache1–13-0.0339%10 May
dust25–13-0.1142%9 May
dust213–70.0015%9 May
dust211–13-0.0231%2 May
dust213–3-0.0119%2 May
dust28–13-0.0422%2 May
dust213–90.0426%2 May
dust23–13-0.0720%25 Apr
dust25–13-0.0520%25 Apr

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 →