stud — CS2 Stats

76561198038332285[U:1:78066557]

2,262Tracked matches57%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPassive Rifler
Premier CS Rating18,984Purple band · top ~12.5% of ranked players (population est.)
CSDB Leaderboard#9771 of 19904 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGstudFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER18,984 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning48
Utility32

0–100 skill scores via Leetify.

Recent form

COLD54442Last 10054%Win rateWLLWLLWLLL

Last 10 vs previous 10: -40pp win rate · -0.05 avg rating

Player DNA

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

Aim6.9
Aggression3.7
Utility3.2
Positioning4.8
Opening Duels0.5
Clutch3.8

Strong CT-side openerLimited utility dependence

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 81% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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 41% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 587ms 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

Aim6.9
Positioning4.8
Utility3.2
Mechanics7.2
Opening Duels1.3
Win Impact7.2

Composite 5.4/10 (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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time583ms−51ms
first ⅓ avg 634ms → last ⅓ avg 583ms
Headshot accuracy18.1%−1.4%
first ⅓ avg 19.6% → last ⅓ avg 18.1%

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

0.20Best rating — nuke 9–1
131Biggest win — cache
7Longest win streak
59In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 69% over 13mirageWeakest map · 46% over 24
MapGradePlayedRecordWin rateAvg rating
mirageB24111346%0.00
dust2A1710759%0.01
anubisB168850%-0.00
nukeS139469%0.02
infernoB126650%-0.02
cacheA116555%0.02
ancientA74357%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (46% over 24). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

127Matches
51%Win rate
0.97Avg K/D
83.5ADR
36%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2763%1.1815.2
Dust21258%1.2317.3
Inferno1050%1.1917.7
Overpass838%0.8414.8
Nuke633%0.6711.8
Vertigo540%0.9215.0
Anubis2100%1.1116.5
Ancient10%0.6111.0

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.

18.2%Headshot accuracy
35.9%Accuracy (enemy spotted)
37.3%Spray accuracy
82.3%Counter-strafing
11.3°Preaim
587msReaction time
23.3%T opening success
40.6%CT opening success
0.31Enemies flashed / flash
5.1%Flash assists
8.33HE damage / grenade
4.03Flashes / 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. 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 0.3093 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 23.3176% — below the 40% mark we flag

Spend your practice time on Mirage

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

46% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–9-0.0311%28 Aug
mirage10–13-0.0320%28 Aug
anubis10–130.0217%28 Aug
mirage16–12-0.0114%28 Aug
mirage8–13-0.0229%28 Aug
anubis6–13-0.0313%27 Aug
anubis8–00.0524%27 Aug
nuke7–13-0.0735%27 Aug
mirage10–13-0.1116%27 Aug
cache9–13-0.0311%26 Aug
inferno13–90.0529%26 Aug
nuke13–70.0217%26 Aug
mirage2–13-0.0215%26 Aug
cache13–80.0819%26 Aug
mirage13–80.0417%26 Aug
dust211–130.0518%26 Aug
dust213–6-0.0035%26 Aug
inferno13–70.0423%26 Aug
ancient13–10-0.0010%25 Aug
ancient4–13-0.0427%25 Aug
dust213–9-0.0515%24 Aug
dust27–130.0123%24 Aug
mirage14–16-0.0120%24 Aug
anubis13–5-0.107%23 Aug
inferno8–130.0313%23 Aug
mirage13–70.0723%23 Aug
dust213–50.108%23 Aug
dust213–7-0.029%22 Aug
cache13–80.0523%22 Aug
mirage13–10-0.0113%21 Aug
dust216–140.0218%21 Aug
nuke8–13-0.0111%21 Aug
anubis13–10-0.0319%21 Aug
nuke13–50.0728%21 Aug
inferno10–130.0114%19 Aug
dust23–130.0315%19 Aug
mirage7–13-0.0220%19 Aug
inferno13–6-0.0423%18 Aug
mirage5–130.0827%17 Aug
mirage8–130.0114%17 Aug
mirage13–80.0120%17 Aug
anubis13–80.0826%17 Aug
nuke9–10.2022%17 Aug
ancient13–60.0515%17 Aug
mirage11–130.0315%17 Aug
mirage10–13-0.0620%16 Aug
anubis13–10-0.0421%16 Aug
cache8–13-0.0220%16 Aug
anubis5–130.0326%16 Aug
inferno13–11-0.0537%16 Aug
anubis9–130.0223%15 Aug
nuke13–30.0014%15 Aug
anubis13–100.0623%15 Aug
dust213–60.0142%15 Aug
inferno13–6-0.0440%15 Aug
cache13–100.0734%14 Aug
mirage13–7-0.0211%14 Aug
cache13–70.0241%14 Aug
anubis8–13-0.0120%14 Aug
anubis13–10-0.0219%14 Aug
inferno4–13-0.0311%14 Aug
inferno15–15-0.0310%14 Aug
cache13–7-0.0121%13 Aug
mirage16–13-0.0310%13 Aug
dust213–110.0824%13 Aug
dust213–6-0.0111%13 Aug
dust210–13-0.0129%13 Aug
inferno13–7-0.0825%11 Aug
anubis9–13-0.0022%10 Aug
ancient13–110.0814%10 Aug
cache15–15-0.0118%9 Aug
cache12–16-0.0419%9 Aug
ancient14–16-0.0315%9 Aug
nuke16–120.0727%9 Aug
mirage13–100.0225%8 Aug
ancient13–70.0435%8 Aug
dust29–13-0.0311%8 Aug
cache13–10.0633%7 Aug
anubis8–13-0.0415%6 Aug
ancient11–130.0115%6 Aug
nuke13–110.0313%6 Aug
dust211–13-0.0118%6 Aug
dust213–10.0529%6 Aug
anubis10–13-0.0317%6 Aug
nuke11–13-0.0119%5 Aug
nuke13–9-0.0420%5 Aug
mirage13–80.0316%5 Aug
inferno7–13-0.0526%5 Aug
nuke9–13-0.0135%5 Aug
inferno8–13-0.0613%5 Aug
mirage14–16-0.0013%4 Aug
nuke13–50.0616%4 Aug
cache13–160.0121%4 Aug
mirage10–130.0014%4 Aug
mirage13–40.0630%4 Aug
anubis13–7-0.0112%3 Aug
mirage13–5-0.0414%3 Aug
dust213–90.0310%3 Aug
mirage4–130.028%3 Aug
dust211–13-0.0226%3 Aug

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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