Jxyy — CS2 Stats

76561199382407507[U:1:1422141779]

810Tracked matches40%Win rate2022Tracked since
1,044Hours in CS42Hrs last 2 wks
CSDB Rating5.6 SolidHybrid Rifler
Premier CS Rating18,633Purple band · top ~13.9% of ranked players (population est.)
CSDB Leaderboard#7994 of 15409 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band medianvs Pink band
Headshot rate55.3%48.1%above
Shot accuracy1.9%12.9%11.0% short
Kill/death ratio1.061.08meets
Match win rate50.2%46.5%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGJxyyPREMIER18,633 · Purple bandcsdb.gg/stats

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Performance scores

Aim78
Positioning55
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY49474Last 10049%Win rateWLWLWLLWWL

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

Player DNA

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

Aim7.8
Aggression5.6
Utility4.6
Positioning5.5
Opening Duels1.0
Clutch3.2

Strong CT-side opener

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 89% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 45% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim7.8
Positioning5.5
Utility4.6
Mechanics7.2
Opening Duels1.9
Win Impact1.7

Composite 5.6/10 (Solid), 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-0.02−0.06
first ⅓ avg 0.04 → last ⅓ avg -0.02
Reaction time572ms−35ms
first ⅓ avg 607ms → last ⅓ avg 572ms
Headshot accuracy19.4%−2.4%
first ⅓ avg 21.8% → last ⅓ avg 19.4%

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 — cache 13–5
130Biggest win — cache
8Longest win streak
55In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 75% over 8infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB34181653%0.01
dust2C24101442%-0.01
cacheC1661038%0.03
anubisS86275%0.00
infernoD62433%0.04
ancient43175%-0.00
overpass42250%0.07
train21150%0.05
vertigo110100%-0.01
nuke1010%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,346Lifetime kills
1.06K/D · Top 50% of tracked players
922Matches
50.2%Match win rate · Top 25% of tracked players
55.3%Headshot % · Top 25% of tracked players
1.9%Shot accuracy
2,552MVPs
798Hours (in match)
679Bombs planted
525Bombs defused

Most-used weapons

Lifetime map wins

2,586dust2
1,090inferno
406nuke
240vertigo
214train
3ar_shoots
2ar_baggage
1ar_monastery

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

Faceit stats

Combat

31Matches
35%Win rate
0.79Avg K/D
64.8ADR
46%Headshot %

Clutches & streaks

36%1v1 clutch win
14%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient825%0.6613.1
Mirage757%0.9215.3
Dust250%0.466.6
Inferno425%0.7212.5
Anubis367%0.9112.7
Cache1100%0.8117.0
Nuke10%0.8727.0

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.

19.2%Headshot accuracy
36.3%Accuracy (enemy spotted)
34.2%Spray accuracy
82.3%Counter-strafing
8.3°Preaim
576msReaction time
22.7%T opening success
45.4%CT opening success
0.55Enemies flashed / flash
3.6%Flash assists
11.56HE damage / grenade
7.52Flashes / 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 22.658% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–8-0.0317%21 Aug
mirage7–13-0.0418%21 Aug
mirage13–90.0118%19 Aug
cache10–13-0.0313%19 Aug
dust213–11-0.0316%19 Aug
mirage8–130.0714%19 Aug
dust25–13-0.077%16 Aug
mirage13–6-0.029%16 Aug
mirage13–70.0728%16 Aug
dust22–13-0.0418%15 Aug
dust213–110.0021%15 Aug
anubis5–13-0.0624%15 Aug
anubis13–10-0.0330%14 Aug
cache13–8-0.0322%14 Aug
dust26–13-0.0131%14 Aug
mirage14–16-0.029%13 Aug
mirage6–13-0.0215%12 Aug
dust210–13-0.0131%12 Aug
ancient13–10-0.0114%12 Aug
inferno5–13-0.0418%11 Aug
mirage5–13-0.0315%10 Aug
mirage10–130.0318%9 Aug
inferno13–90.0116%9 Aug
dust211–13-0.0119%9 Aug
mirage13–16-0.0014%9 Aug
mirage2–13-0.0840%9 Aug
mirage13–70.0217%9 Aug
anubis13–80.0434%7 Aug
mirage5–13-0.1227%2 Aug
dust22–13-0.0714%1 Aug
mirage8–13-0.0518%1 Aug
dust24–13-0.0329%31 Jul
dust213–9-0.047%30 Jul
cache4–13-0.0813%29 Jul
anubis10–130.0120%29 Jul
mirage13–50.0224%29 Jul
ancient13–11-0.0119%26 Jul
dust213–30.0413%26 Jul
dust213–90.0827%26 Jul
mirage13–50.1132%25 Jul
mirage13–5-0.0341%25 Jul
dust27–13-0.0812%26 May
overpass13–60.1234%14 May
dust24–130.0429%14 May
dust213–100.0523%14 May
mirage13–7-0.0120%14 May
inferno9–130.0719%14 May
cache12–120.0314%12 May
dust29–13-0.0617%12 May
ancient16–14-0.0113%12 May
cache13–50.1921%12 May
inferno11–130.0632%11 May
mirage7–13-0.0227%11 May
ancient9–130.0114%7 May
dust213–100.0620%7 May
dust211–13-0.0220%6 May
mirage16–120.0311%6 May
mirage13–11-0.0221%6 May
cache9–13-0.0024%4 May
dust23–130.0311%4 May
vertigo13–10-0.0135%3 May
cache9–130.0921%3 May
cache7–130.0158%2 May
mirage8–130.0413%1 May
mirage2–13-0.0738%1 May
mirage12–120.0431%1 May
cache12–120.0525%1 May
cache4–13-0.0725%30 Apr
cache13–7-0.0113%30 Apr
cache12–120.0712%29 Apr
cache13–30.1220%29 Apr
cache13–00.1825%29 Apr
cache13–50.0124%29 Apr
cache8–13-0.0116%29 Apr
train9–130.0021%28 Apr
mirage13–40.1028%27 Apr
nuke8–13-0.0814%27 Apr
mirage6–00.0118%27 Apr
mirage13–30.1833%27 Apr
dust213–90.0416%27 Apr
mirage7–13-0.084%27 Apr
overpass13–30.1219%27 Apr
dust26–13-0.0515%26 Apr
mirage13–100.1016%26 Apr
inferno10–130.0017%26 Apr
mirage13–60.0528%25 Apr
inferno13–50.1652%25 Apr
overpass8–130.0125%25 Apr
anubis13–40.0119%25 Apr
mirage13–50.0824%25 Apr
anubis13–90.0116%25 Apr
mirage13–40.0927%25 Apr
mirage13–80.0113%25 Apr
train13–20.1027%24 Apr
dust213–10-0.0229%23 Apr
anubis13–20.0429%23 Apr
overpass8–100.0328%23 Apr
mirage6–130.0121%22 Apr
dust28–13-0.0019%22 Apr
dust213–9-0.0228%22 Apr

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 →