naksu

naksu — CS2 Stats

FI76561198007651327[U:1:47385599]Steam profile ↗✓ No bans

411Tracked matches48%Win rate2020Tracked since
3,941Hours in CS1Hrs last 2 wks
CSDB Rating3.9 Learning
Premier CS Rating18,666Purple band · top ~13.8% of ranked players (population est.)
CSDB Leaderboard#26366 of 58605 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=7,746), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate41.8%44.2%47.1%5.3% short
Shot accuracy16.2%11.7%12.8%above
Kill/death ratio1.081.031.08meets
Match win rate49.4%45.2%46.7%above

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

Widest gap: Headshot rate. 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.

Share this profile

CSDB.GGnaksuPREMIER18,666 · Purple bandcsdb.gg/stats

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Performance scores

Aim42
Positioning36
Utility58

0–100 skill scores via Leetify.

Recent form

HOT49483Last 10049%Win rateWWWWWLWLWL

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

Aim4.2
Aggression2.8
Utility5.8
Positioning3.6
Opening Duels0.0
Clutch0.0

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 72% 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. 595ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2
Positioning3.6
Utility5.8
Mechanics3.9
Opening Duels0.3
Win Impact4.4

Composite 3.9/10 (Learning), 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-0.03−0.05
first ⅓ avg 0.02 → last ⅓ avg -0.03
Reaction time594ms−20ms
first ⅓ avg 614ms → last ⅓ avg 594ms
Headshot accuracy16.8%−1.3%
first ⅓ avg 18.1% → last ⅓ avg 16.8%

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

0.17Best rating — inferno 13–4
131Biggest win — inferno
7Longest win streak
W5Current streak
1112In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 73% over 15mirageWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
infernoC43192444%0.00
nukeS1511473%-0.01
cacheA117464%-0.02
ancientB105550%-0.01
mirageD102820%0.00
overpassC52340%-0.04
anubisA53260%-0.03
dust21010%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

125,402Lifetime kills
1.08K/D · Top 50% of Purple band
4,520Matches
49.4%Match win rate · Top 25% of Purple band
41.8%Headshot %
16.2%Shot accuracy · Top 25% of Purple band
10,954MVPs
2,522Hours (in match)
5,004Bombs planted
1,336Bombs defused

Most-used weapons

AK-4734,132
AWP12,523
P2504,472
MAC-102,188
Tec-91,998
FAMAS1,793

Lifetime map wins

12,502inferno
3,976nuke
2,898dust2
1,049cbble
988train
210vertigo
139office
95lake

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

Faceit stats

Combat

1,086Matches
52%Win rate
1.06Avg K/D
67.0ADR
41%Headshot %

Clutches & streaks

20%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno683%0.8012.2
Mirage650%0.568.8
Ancient580%1.2814.4
Train475%0.9611.0
Nuke333%0.8512.7
Cache20%0.437.5
Overpass250%0.6210.5
Anubis1100%0.6813.0

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.

16.8%Headshot accuracy
27.9%Accuracy (enemy spotted)
36.1%Spray accuracy
67.7%Counter-strafing
11.2°Preaim
595msReaction time
17.7%T opening success
32.6%CT opening success
0.45Enemies flashed / flash
3.2%Flash assists
9.12HE damage / grenade
11.06Flashes / 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 0.4488 — 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 17.718% — 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–4-0.0613%14 Aug
inferno13–50.0216%14 Aug
nuke16–140.0416%9 Aug
inferno13–11-0.0821%9 Aug
inferno13–9-0.0723%9 Aug
ancient2–13-0.0717%9 Aug
inferno13–9-0.0224%30 Jul
inferno6–13-0.0412%26 Jul
inferno13–50.0033%26 Jul
inferno5–13-0.0814%26 Jul
nuke16–14-0.0220%26 Jul
inferno6–13-0.0616%26 Jul
inferno13–10.0529%25 Jul
inferno0–8-0.0928%23 Jul
nuke14–16-0.0715%21 Jul
inferno15–15-0.0913%21 Jul
cache11–13-0.0617%21 Jul
inferno13–16-0.0916%18 Jul
ancient13–11-0.057%18 Jul
nuke9–13-0.1117%18 Jul
mirage4–13-0.0512%17 Jul
nuke13–5-0.0115%17 Jul
inferno13–16-0.0216%17 Jul
cache8–13-0.0216%17 Jul
inferno11–13-0.0019%16 Jul
cache11–130.0122%12 Jul
nuke13–100.0416%12 Jul
mirage13–20.059%12 Jul
cache13–11-0.0212%12 Jul
inferno11–13-0.0314%12 Jul
inferno12–16-0.0218%12 Jul
nuke13–4-0.028%12 Jul
cache13–11-0.0514%12 Jul
inferno9–13-0.0421%12 Jul
cache13–10-0.0115%12 Jul
inferno13–40.0217%3 Jul
inferno6–13-0.023%8 Jun
inferno13–30.0114%7 Jun
inferno13–6-0.0020%29 May
inferno11–13-0.0418%24 May
overpass5–13-0.084%24 May
inferno13–8-0.0313%24 May
mirage2–13-0.0519%24 May
ancient9–13-0.0613%24 May
cache13–11-0.0223%22 May
overpass7–13-0.1317%14 May
ancient13–100.0916%14 May
inferno7–13-0.0520%14 May
mirage8–13-0.0813%14 May
cache13–5-0.0016%9 May
cache13–80.0216%2 May
cache13–50.0522%1 May
cache9–13-0.0617%26 Apr
ancient13–40.1318%26 Apr
anubis13–10-0.0315%26 Apr
inferno16–120.0113%26 Apr
overpass13–7-0.028%26 Apr
ancient13–9-0.0513%26 Apr
inferno13–70.0420%14 Apr
inferno13–60.0322%14 Apr
inferno3–130.0924%14 Apr
inferno8–130.0013%13 Apr
nuke11–130.0213%5 Apr
overpass5–13-0.0015%5 Apr
nuke8–130.0424%5 Apr
inferno15–150.0418%5 Apr
dust211–13-0.0118%5 Apr
ancient11–13-0.0118%4 Apr
inferno10–13-0.0517%4 Apr
anubis13–90.0114%4 Apr
ancient4–13-0.0213%4 Apr
anubis11–130.0114%4 Apr
mirage7–13-0.0322%4 Apr
inferno13–30.0714%4 Apr
inferno13–7-0.0210%4 Apr
inferno7–13-0.0220%2 Apr
mirage3–130.0417%2 Apr
nuke13–90.0924%2 Apr
inferno7–130.1011%30 Mar
inferno10–130.0636%28 Mar
inferno13–70.1220%28 Mar
inferno13–110.1020%26 Mar
nuke13–9-0.0019%22 Mar
ancient7–13-0.057%22 Mar
nuke12–7-0.0519%22 Mar
mirage8–130.0023%22 Mar
inferno13–40.0519%22 Mar
anubis13–8-0.0517%22 Mar
ancient13–11-0.0319%22 Mar
inferno12–120.0517%18 Mar
inferno13–40.1716%18 Mar
nuke13–110.0120%15 Mar
mirage11–130.1215%15 Mar
inferno3–13-0.0128%14 Mar
mirage6–13-0.0219%14 Mar
anubis1–13-0.0815%14 Mar
mirage13–50.0127%14 Mar
overpass16–130.0522%14 Mar
nuke16–14-0.0110%14 Mar
inferno11–130.0918%13 Mar

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 →