Naikou

Naikou — CS2 Stats

FI76561198013126303[U:1:52860575]Steam profile ↗✓ No bans

885Tracked matches41%Win rate2020Tracked since
1,207Hours in CS
CSDB Rating5.5 SolidPositional Player
Premier CS Rating22,205Top 50% of 213,399 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)
CSDB Leaderboard#53854 of 260024 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 885 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,205 +1,641 3 Sept – 2 Nov · 8 days played
20,56422,311peak 22,3113 Sept2 Nov
22,311Peak Premier in tracked matches
30Days played since 2026-07-18

Premier CS Rating

  • 106 below peak (22,311)
  • Next: Red band at 25,000 — 2,795 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-09
  • Purple band first seen 2026-09-09

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 medianRed band medianvs Red band
Headshot rate40.9%46.9%49.3%8.3% short
Shot accuracy12.3%13.0%13.4%1.1% short
Kill/death ratio0.941.081.120.18 short
Match win rate45.6%46.7%48.5%2.9% short

This profile sits below the typical Red band player on every metric we can compare.

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

Share this profile

CSDB.GGNaikouPREMIER22,205 · Pink bandcsdb.gg/stats

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Performance scores

Aim74
Positioning59
Utility46

0–100 skill scores via Leetify.

Recent form

COLD52–43–5Last 10052%Win rateWLLLLLLWLW

Last 10 vs previous 10: −40pp win rate · +0.00 avg rating · −6.1pp headshot accuracy · +59ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 572ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 575ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 546ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.3 against its own average).

Aim7.4
Utility4.6
Positioning5.9
Opening Duels3.5
Clutch0.6

Limited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.4
Positioning5.9
Utility4.6
Mechanics5.5
Opening Duels2.9
Win Impact2.1

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time535ms−90ms
first ⅓ avg 625ms → last ⅓ avg 535ms
Headshot accuracy17.3%+0.4%
first ⅓ avg 17.0% → last ⅓ avg 17.3%

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.

Personal bests

0.19Best match rating · 13–1 · nuke, 23 Jul →
39%Best headshot accuracy · 8–13 · cache, 8 Sept →
344msFastest reaction time · 5–13 · shelter, 23 Aug →
13–1Biggest win · inferno, 23 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
12–1In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 67% over 6nukeWeakest map · 41% over 22
MapGradePlayedRecordWin rateAvg rating
nukeC229–1341%0.01
dust2B2111–1052%0.00
cacheA169–756%0.02
infernoB105–550%0.04
anubisA74–357%0.02
ancientB63–350%0.00
overpassS64–267%0.03
shelter—42–250%0.03
mirage—33–0100%0.05
train—20–20%0.01
vertigo—11–0100%0.00
fachwerk—10–10%0.03
boulder—11–0100%0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (41% over 22). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,757Lifetime kills
0.94K/D
2,993Matches
45.6%Match win rate
40.9%Headshot %
12.3%Shot accuracy
5,512MVPs
1,207Hours (in match)
3,229Bombs planted
593Bombs defused

Most-used weapons

AK-4713,505
AWP3,641
Tec-91,749
P901,574
FAMAS1,173
P2501,128

Lifetime map wins

4,734dust2
2,915nuke
2,225inferno
493train
393vertigo
199office
147militia
133cbble

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

Faceit stats

Combat

59Matches
47%Win rate
0.93Avg K/D
77.4ADR
41%Headshot %

Clutches & streaks

23%1v1 clutch win
14%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke683%1.2314.0
Cache540%1.6320.6
Inferno50%0.6512.4
Mirage425%0.7611.3
Dust2367%0.8013.7
Anubis2100%1.0611.0

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.

17.3%Headshot accuracy
35.7%Accuracy (enemy spotted)
37.1%Spray accuracy
74.9%Counter-strafing
8.9°Preaim
531msReaction time
44.1%T opening success
38.8%CT opening success
0.46Enemies flashed / flash
6.1%Flash assists
8.23HE damage / grenade
4.79Flashes / 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 0.4586 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.8449% — below the 40% mark we flag

Spend your practice time on Nuke

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

41% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–9-0.009%18 Sept →
nuke4–13-0.0310%12 Sept →
ancient10–13-0.026%12 Sept →
train4–130.0117%11 Sept →
anubis5–13-0.0610%11 Sept →
nuke4–130.0111%9 Sept →
dust26–13-0.0429%9 Sept →
inferno13–20.1217%9 Sept →
cache7–130.1317%9 Sept →
dust213–100.0012%9 Sept →
nuke6–130.0217%9 Sept →
cache8–13-0.0139%8 Sept →
dust213–11-0.0413%8 Sept →
dust213–7-0.0112%7 Sept →
cache13–50.0222%7 Sept →
mirage13–11-0.0117%7 Sept →
ancient13–11-0.0122%5 Sept →
nuke13–100.0422%5 Sept →
cache13–110.0221%5 Sept →
dust210–130.0614%5 Sept →
cache14–16-0.049%3 Sept →
inferno13–80.0313%3 Sept →
nuke5–13-0.0224%2 Sept →
inferno4–130.0326%2 Sept →
cache8–130.0622%2 Sept →
cache7–10.0915%2 Sept →
anubis6–130.0830%2 Sept →
dust25–13-0.0917%2 Sept →
inferno12–12-0.0019%2 Sept →
nuke6–13-0.0712%2 Sept →
nuke13–110.0114%30 Aug →
dust212–120.0417%30 Aug →
cache10–13-0.0317%30 Aug →
nuke7–130.0312%23 Aug →
shelter5–13-0.0112%23 Aug →
nuke13–8-0.0312%23 Aug →
dust23–13-0.0622%23 Aug →
anubis13–110.0318%23 Aug →
cache13–60.0416%23 Aug →
inferno13–10.0615%23 Aug →
overpass13–50.0812%23 Aug →
ancient13–90.0517%23 Aug →
nuke3–13-0.0332%23 Aug →
dust25–13-0.0113%23 Aug →
overpass9–130.0318%19 Aug →
mirage13–70.1311%19 Aug →
nuke13–20.116%19 Aug →
cache13–70.045%19 Aug →
anubis10–10.0412%19 Aug →
inferno13–110.0824%19 Aug →
dust213–110.0320%19 Aug →
nuke9–130.0314%17 Aug →
dust213–70.0216%17 Aug →
inferno7–130.0520%16 Aug →
dust212–120.0014%13 Aug →
vertigo13–90.0019%9 Aug →
shelter8–130.0314%7 Aug →
nuke10–13-0.0314%7 Aug →
overpass9–130.0230%7 Aug →
inferno8–13-0.0515%7 Aug →
dust27–13-0.0516%7 Aug →
nuke12–120.0623%7 Aug →
anubis13–7-0.0112%6 Aug →
cache5–13-0.0313%6 Aug →
nuke6–130.0020%6 Aug →
overpass13–80.0115%6 Aug →
cache12–12-0.0214%5 Aug →
overpass13–70.0122%5 Aug →
nuke13–60.0619%5 Aug →
dust22–13-0.0619%4 Aug →
inferno6–13-0.0319%1 Aug →
dust213–30.0318%1 Aug →
dust213–80.0427%30 Jul →
cache9–40.0013%30 Jul →
ancient9–130.0411%29 Jul →
dust213–110.0213%29 Jul →
anubis9–130.0110%29 Jul →
train7–130.0114%28 Jul →
cache13–10.0724%28 Jul →
dust29–20.0315%28 Jul →
nuke13–11-0.0214%28 Jul →
overpass13–110.0413%26 Jul →
cache13–70.0117%26 Jul →
dust213–80.0819%26 Jul →
ancient13–90.0210%26 Jul →
inferno13–80.1419%26 Jul →
dust20–13-0.046%23 Jul →
nuke13–10.1932%23 Jul →
nuke4–13-0.104%23 Jul →
nuke10–13-0.0717%21 Jul →
mirage13–80.0427%21 Jul →
dust216–120.0622%20 Jul →
nuke13–110.0219%19 Jul →
ancient7–13-0.069%19 Jul →
nuke13–5-0.0120%19 Jul →
shelter13–60.0726%18 Jul →
fachwerk9–130.0320%18 Jul →
boulder13–50.0619%18 Jul →
shelter13–10.0110%18 Jul →
anubis13–100.0413%18 Jul →

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 →

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