NakanoMiku3

NakanoMiku3 — CS2 Stats

CA76561198401584717[U:1:441318989]Steam profile ↗✓ No bans

1,209Tracked matches46%Win rate2023Tracked since
CSDB Rating5.1 DevelopingPassive Rifler
CSDB Leaderboard#54312 of 55681 tracked
FaceitLevel 5 · 1,179 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

1,179Peak Faceit ELO on CSDB
1Days observed since 2026-08-30

Faceit ELO

  • At peak — 1,179
  • Next: Level 6 at 1,201 22 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-08-30
  • Level 4 first seen 2026-08-30

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGNakanoMiku3FACEITLevel 5 · 1,179 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,179csdb.gg/stats

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Performance scores

Aim77
Positioning44
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY44524Last 10044%Win rateWLLWWLWWLW

Last 10 vs previous 10: +20pp win rate · -0.03 avg rating

Player DNA

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

Aim7.7
Aggression3.7
Utility4.3
Positioning4.4
Opening Duels0.0
Clutch4.0

Excellent counter-strafing

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 80% playstyle similarity

Most alike: aim profile, opening-fight frequency.

Where you differ: lower utility contribution; lower opening-duel success.

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

Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

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

Reaction time. 667ms 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

Aim7.7
Positioning4.4
Utility4.3
Mechanics9.6
Opening Duels0.6
Win Impact3.8

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time679ms+34ms
first ⅓ avg 645ms → last ⅓ avg 679ms
Headshot accuracy19.5%−3.7%
first ⅓ avg 23.2% → last ⅓ avg 19.5%

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

0.13Best rating — nuke 13–2
132Biggest win — anubis
4Longest win streak
68In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 80% over 5mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B33161748%-0.00
ancientD2171433%-0.03
infernoC145936%-0.03
anubisA106460%-0.02
mirageD82625%-0.02
overpassD72529%-0.00
nukeS54180%-0.02
cache220100%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

179Matches
51%Win rate
0.92Avg K/D
69.0ADR
55%Headshot %

Clutches & streaks

40%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust26255%0.9114.7
Inferno4156%0.9613.2
Ancient3145%0.8313.6
Mirage2635%1.0513.4
Nuke967%1.0914.8
Overpass540%0.6511.6
Train475%0.6612.0
Anubis10%0.5413.0

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.

19.0%Headshot accuracy
36.3%Accuracy (enemy spotted)
39.5%Spray accuracy
93.3%Counter-strafing
9.9°Preaim
667msReaction time
20.8%T opening success
34.6%CT opening success
0.50Enemies flashed / flash
5.7%Flash assists
5.83HE damage / grenade
9.49Flashes / 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 20.7813% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–4-0.0415%29 Aug
mirage7–13-0.0217%29 Aug
dust27–13-0.0922%29 Aug
ancient13–80.0011%29 Aug
anubis13–100.0818%29 Aug
ancient7–13-0.0514%28 Aug
anubis13–2-0.0122%28 Aug
nuke13–3-0.0325%28 Aug
inferno7–13-0.073%28 Aug
dust213–8-0.0411%28 Aug
dust214–160.0717%15 Jun
dust213–10-0.0220%15 Jun
inferno13–6-0.0223%12 Jun
nuke13–3-0.0719%12 Jun
nuke13–20.1320%9 Jun
dust26–130.0119%9 Jun
dust213–16-0.0416%28 May
inferno10–13-0.0218%28 May
overpass6–13-0.0326%28 May
anubis6–130.0125%27 May
anubis13–3-0.008%27 May
nuke7–13-0.0716%24 May
dust27–13-0.0518%24 May
ancient13–11-0.0224%24 May
dust27–13-0.0423%20 May
inferno15–150.0221%20 May
mirage15–15-0.0733%12 May
mirage7–130.0313%12 May
anubis9–13-0.0817%12 May
dust213–80.1232%12 May
dust213–40.0938%7 May
dust213–90.0226%7 May
ancient6–13-0.1114%7 May
anubis8–13-0.0611%7 May
cache13–80.0320%6 May
dust213–8-0.0223%6 May
dust213–20.0422%6 May
ancient12–16-0.0129%6 May
inferno7–13-0.0726%6 May
cache13–6-0.0236%2 May
dust213–4-0.0222%22 Apr
anubis13–5-0.0130%22 Apr
mirage4–13-0.0431%22 Apr
ancient15–15-0.0315%22 Apr
mirage11–13-0.0036%21 Apr
ancient13–11-0.058%21 Apr
ancient14–16-0.0326%20 Apr
overpass15–15-0.0424%20 Apr
dust211–13-0.0026%20 Apr
dust213–70.0517%19 Apr
ancient9–13-0.0430%19 Apr
mirage7–13-0.0130%19 Apr
anubis7–13-0.0619%19 Apr
dust213–3-0.0119%19 Apr
ancient13–70.0228%18 Apr
inferno3–13-0.0613%18 Apr
dust213–80.0015%18 Apr
dust212–16-0.0121%18 Apr
overpass10–13-0.0915%18 Apr
overpass11–13-0.0218%18 Apr
ancient8–13-0.0016%18 Apr
ancient13–4-0.0325%18 Apr
mirage13–6-0.0130%18 Apr
dust26–13-0.0613%17 Apr
ancient8–13-0.0627%17 Apr
dust213–90.0025%17 Apr
dust28–13-0.0433%17 Apr
ancient11–13-0.0511%17 Apr
inferno9–13-0.0219%17 Apr
anubis13–9-0.0120%17 Apr
dust213–110.0017%16 Apr
inferno13–80.0235%16 Apr
inferno8–13-0.0429%16 Apr
anubis13–80.0016%16 Apr
dust213–70.0932%15 Apr
overpass11–13-0.0023%15 Apr
dust210–13-0.0417%15 Apr
overpass13–90.0738%14 Apr
ancient7–13-0.0817%14 Apr
dust25–13-0.0845%14 Apr
dust213–60.0221%14 Apr
mirage13–110.0028%14 Apr
overpass13–110.1128%14 Apr
ancient9–13-0.0425%13 Apr
dust214–16-0.0514%13 Apr
dust29–130.0013%13 Apr
ancient5–13-0.0326%13 Apr
ancient10–13-0.0713%13 Apr
dust213–9-0.0335%13 Apr
ancient7–13-0.0420%12 Apr
inferno13–16-0.0418%12 Apr
ancient13–20.0118%12 Apr
dust24–13-0.0218%12 Apr
dust26–130.0330%12 Apr
dust210–13-0.0024%12 Apr
inferno13–10-0.0117%12 Apr
ancient13–90.0022%11 Apr
inferno13–110.0226%11 Apr
inferno13–3-0.0624%10 Apr
inferno5–13-0.0826%10 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 →