nakashiva

nakashiva — CS2 Stats

JP76561198103714659[U:1:143448931]Steam profile ↗✓ No bans

1,842Tracked matches45%Win rate2021Tracked since
4,385Hours in CS5Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating14,259Blue band · top ~32.3% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,259 -1,382 4 Sept – 5 Nov · 26 days played
13,12716,300peak 16,3004 Sept5 Nov
16,300Peak Premier in tracked matches
33Days played since 2026-09-04

Premier CS Rating

  • 2,041 below peak (16,300)
  • -740 over 30 days · declining
  • Next: Purple band at 15,000 — 741 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Level 6 among CSDB-tracked players (n=13,496), 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 playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate38.9%44.8%45.7%6.8% short
Shot accuracy10.7%12.4%12.7%2.0% short
Kill/death ratio1.051.031.05meets
Match win rate45.8%45.2%45.7%meets

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGnakashivaFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER14,259 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim73
Positioning56
Utility50

0–100 skill scores via Leetify.

Recent form

COLD42–54–4Last 10042%Win rateLTWLWLWLLT

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +1.5pp headshot accuracy · +23ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 514ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 552ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 541ms

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 (+1.4 against its own average).

Aim7.3
Utility5.0
Positioning5.6
Opening Duels2.0
Clutch4.2

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

iM

Plays most like iM 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

CT openings. Opening success drops from 56% on T to 38% on CT — first contacts on the defending side are being lost.

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

Aim7.3
Positioning5.6
Utility5.0
Mechanics4.9
Opening Duels4.2
Win Impact3.3

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time532ms−30ms
first ⅓ avg 562ms → last ⅓ avg 532ms
Headshot accuracy17.3%−1.2%
first ⅓ avg 18.5% → 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

0.30Best match rating · 9–1 · inferno, 7 Oct →
43%Best headshot accuracy · 2–9 · inferno, 5 Sept →
328msFastest reaction time · 9–13 · inferno, 20 Oct →
13–1Biggest win · mirage, 3 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
2–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 56% over 9dust2Weakest map · 33% over 24
MapGradePlayedRecordWin rateAvg rating
infernoC3213–1941%-0.00
dust2D248–1633%-0.02
mirageB147–750%-0.01
cacheB105–550%-0.00
ancientA95–456%-0.01
nukeC83–538%0.00
anubis—31–233%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

99,939Lifetime kills
1.05K/D · Top 50% of Level 6 players
5,076Matches
45.8%Match win rate · Top 50% of Level 6 players
38.9%Headshot %
10.7%Shot accuracy
12,265MVPs
2,088Hours (in match)
4,286Bombs planted
960Bombs defused

Most-used weapons

AK-4723,877
AWP22,935
MP92,295
FAMAS2,201
MAC-101,732
Knife1,474

Lifetime map wins

19,932dust2
7,629inferno
3,165nuke
976vertigo
545train
303cbble
274office
112dust

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

Faceit stats

Combat

438Matches
51%Win rate
1.04Avg K/D
77.8ADR
41%Headshot %

Clutches & streaks

41%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage8042%0.9714.4
Dust27851%1.0614.4
Ancient7242%1.1117.2
Inferno7163%1.0715.4
Anubis4255%1.0715.6
Nuke3549%1.0216.1
Vertigo1540%0.8614.1
Cache650%0.9515.0

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.

16.4%Headshot accuracy
36.4%Accuracy (enemy spotted)
37.2%Spray accuracy
71.8%Counter-strafing
8.9°Preaim
524msReaction time
55.7%T opening success
38.1%CT opening success
0.60Enemies flashed / flash
4.6%Flash assists
8.84HE damage / grenade
5.08Flashes / 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

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

    CT opening duels 38.0516% — below the 40% mark we flag

Spend your practice time on Dust 2

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 24 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust23–13-0.100%13 Nov →
dust212–12-0.0430%13 Nov →
dust213–40.1819%5 Nov →
dust25–13-0.0317%5 Nov →
cache13–80.0313%3 Nov →
inferno7–130.0310%28 Oct →
nuke13–50.0628%23 Oct →
inferno3–9-0.2623%21 Oct →
inferno6–9-0.0719%21 Oct →
inferno8–8-0.1117%21 Oct →
inferno4–9-0.0325%21 Oct →
inferno9–60.0215%21 Oct →
cache13–70.0017%21 Oct →
cache0–13-0.0732%21 Oct →
dust213–11-0.0217%21 Oct →
nuke5–130.0119%20 Oct →
inferno9–13-0.037%20 Oct →
mirage4–13-0.0212%20 Oct →
anubis1–13-0.084%20 Oct →
cache13–70.0712%18 Oct →
inferno13–30.0540%18 Oct →
anubis7–130.018%17 Oct →
ancient13–60.0825%16 Oct →
cache13–40.0112%16 Oct →
dust25–13-0.0110%16 Oct →
inferno7–130.0615%16 Oct →
inferno6–13-0.0133%16 Oct →
ancient8–13-0.0311%14 Oct →
inferno8–80.0212%11 Oct →
cache7–13-0.0212%11 Oct →
nuke13–9-0.0313%11 Oct →
nuke13–16-0.0321%11 Oct →
inferno9–50.1924%10 Oct →
ancient13–4-0.0215%10 Oct →
mirage13–8-0.0020%10 Oct →
inferno9–50.0121%10 Oct →
inferno9–6-0.1133%10 Oct →
inferno6–90.0426%10 Oct →
inferno6–9-0.0415%10 Oct →
inferno7–90.0124%10 Oct →
dust213–40.0210%9 Oct →
ancient11–13-0.0212%9 Oct →
dust29–13-0.0322%8 Oct →
dust25–13-0.0722%8 Oct →
dust213–7-0.048%8 Oct →
mirage5–13-0.0411%8 Oct →
inferno13–6-0.0210%7 Oct →
ancient9–130.017%7 Oct →
dust213–10-0.0011%7 Oct →
dust25–13-0.0122%7 Oct →
inferno13–10-0.0512%7 Oct →
inferno9–10.3023%7 Oct →
mirage13–10-0.0113%7 Oct →
ancient13–4-0.047%6 Oct →
mirage16–13-0.045%6 Oct →
dust213–60.0323%6 Oct →
inferno9–50.2313%5 Oct →
mirage13–10-0.0717%5 Oct →
anubis13–60.017%3 Oct →
mirage13–16-0.035%3 Oct →
ancient13–10-0.0532%3 Oct →
mirage13–10.1027%3 Oct →
nuke11–130.0510%1 Oct →
inferno4–13-0.0622%1 Oct →
ancient3–13-0.039%30 Sept →
dust27–13-0.0316%30 Sept →
inferno13–8-0.094%30 Sept →
dust28–13-0.0621%29 Sept →
inferno4–9-0.0325%29 Sept →
mirage11–130.0617%28 Sept →
ancient13–50.0011%28 Sept →
inferno3–13-0.1029%25 Sept →
mirage8–13-0.0220%24 Sept →
cache13–80.0015%24 Sept →
cache6–13-0.0121%23 Sept →
dust213–7-0.0510%23 Sept →
mirage7–13-0.0215%23 Sept →
nuke15–15-0.0611%18 Sept →
cache14–16-0.0016%18 Sept →
dust211–13-0.0121%10 Sept →
mirage3–13-0.0120%10 Sept →
inferno5–90.0213%10 Sept →
dust211–130.0117%8 Sept →
dust211–13-0.0714%7 Sept →
inferno13–60.1017%7 Sept →
dust211–13-0.0317%7 Sept →
inferno6–13-0.0321%7 Sept →
dust210–13-0.0415%6 Sept →
dust213–30.0113%6 Sept →
inferno9–30.1220%6 Sept →
dust24–13-0.0513%6 Sept →
nuke2–70.0225%6 Sept →
inferno2–9-0.1743%5 Sept →
inferno13–11-0.0510%5 Sept →
mirage16–13-0.023%5 Sept →
cache4–13-0.0230%5 Sept →
inferno9–13-0.0123%5 Sept →
dust210–130.0317%5 Sept →
nuke13–8-0.0118%4 Sept →
mirage13–40.0230%4 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.