nAsty

nAsty — CS2 Stats

DE76561197993412548[U:1:33146820]Steam profile ↗✓ No bans

2,877Tracked matches40%Win rate2020Tracked since
CSDB Rating4.5 DevelopingSupport
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

+20Tracked matches · now 2,877
−10.0ppWin rate · 50.0% → 40.0%

Rating over time

34Days played since 2026-06-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGnAstyFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim57
Positioning49
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY47–53Last 10047%Win rateWWLWWLLWLW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · +4.7pp headshot accuracy · +71ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 655ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 652ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 616ms

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: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim5.7
Utility5.1
Positioning4.9
Opening Duels1.4
Clutch3.4

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

sh1ro

Plays most like sh1ro 79% 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. 609ms 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

Aim5.7
Positioning4.9
Utility5.1
Mechanics5.3
Opening Duels1.1
Win Impact1.7

Composite 4.5/10 (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 rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time604ms−35ms
first ⅓ avg 639ms → last ⅓ avg 604ms
Headshot accuracy20.1%+2.2%
first ⅓ avg 17.9% → last ⅓ avg 20.1%

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.

Personal bests

0.04Best match rating · 13–6 · nuke, 26 Sept →
37%Best headshot accuracy · 9–13 · inferno, 30 Aug →
422msFastest reaction time · 13–8 · inferno, 11 Jul →
13–3Biggest win · dust2, 24 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
10–13In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 59% over 32nukeWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
dust2C4520–2544%-0.04
infernoA3219–1359%-0.03
nukeC187–1139%-0.04
cache—40–40%-0.06
overpass—11–0100%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,317Matches
52%Win rate
0.77Avg K/D
64.2ADR
46%Headshot %

Clutches & streaks

37%1v1 clutch win
16%1v2 clutch win
16Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust215554%0.7311.7
Inferno11752%0.8113.0
Anubis9255%0.7611.8
Nuke8251%0.7511.9
Ancient7762%0.7711.8
Overpass4349%0.7711.8
Mirage2763%0.7511.0
Vertigo1947%0.8012.5

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.

19.8%Headshot accuracy
31.9%Accuracy (enemy spotted)
34.1%Spray accuracy
73.9%Counter-strafing
10.4°Preaim
609msReaction time
30.6%T opening success
38.3%CT opening success
0.60Enemies flashed / flash
3.7%Flash assists
8.93HE damage / grenade
6.70Flashes / 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 30.61% — 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.

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.0327%29 Sept →
inferno13–5-0.0122%29 Sept →
dust29–13-0.0517%29 Sept →
dust213–8-0.0524%26 Sept →
inferno13–7-0.0111%26 Sept →
dust210–13-0.0424%26 Sept →
dust27–13-0.0814%26 Sept →
nuke13–60.0420%26 Sept →
cache2–13-0.1235%26 Sept →
dust213–7-0.0227%23 Sept →
dust25–13-0.0422%23 Sept →
dust210–130.0420%11 Sept →
inferno17–19-0.0710%11 Sept →
dust211–13-0.0221%8 Sept →
inferno9–13-0.0914%4 Sept →
nuke7–13-0.0114%4 Sept →
dust213–11-0.0714%4 Sept →
nuke4–13-0.0719%4 Sept →
inferno13–11-0.0223%4 Sept →
inferno11–13-0.1118%1 Sept →
inferno9–13-0.0137%30 Aug →
cache10–13-0.0814%30 Aug →
dust28–13-0.0621%30 Aug →
dust212–16-0.0222%23 Aug →
inferno16–13-0.0129%23 Aug →
nuke13–9-0.0719%23 Aug →
nuke8–13-0.0117%23 Aug →
dust213–110.0015%23 Aug →
nuke13–11-0.0616%23 Aug →
inferno17–19-0.0217%19 Aug →
dust213–7-0.0526%19 Aug →
nuke5–13-0.0618%19 Aug →
inferno10–13-0.0316%19 Aug →
inferno13–11-0.0126%18 Aug →
dust24–13-0.0516%18 Aug →
inferno14–16-0.1222%18 Aug →
inferno19–15-0.0023%2 Aug →
dust219–22-0.0517%2 Aug →
nuke13–40.0120%2 Aug →
cache11–13-0.066%2 Aug →
dust213–11-0.0436%31 Jul →
dust213–9-0.0514%31 Jul →
dust213–9-0.0610%31 Jul →
dust29–13-0.0327%30 Jul →
dust213–90.0314%30 Jul →
nuke10–13-0.087%28 Jul →
dust222–19-0.0426%27 Jul →
inferno13–90.0126%26 Jul →
nuke7–13-0.0533%26 Jul →
inferno13–10-0.0416%26 Jul →
cache10–130.0210%26 Jul →
inferno13–5-0.0016%24 Jul →
inferno13–8-0.0225%24 Jul →
dust213–3-0.0228%24 Jul →
dust27–130.0011%23 Jul →
inferno13–10-0.0522%23 Jul →
inferno13–7-0.0520%23 Jul →
inferno9–13-0.0526%22 Jul →
inferno13–40.0415%22 Jul →
dust210–13-0.0814%22 Jul →
dust213–4-0.0624%22 Jul →
dust28–13-0.0117%20 Jul →
dust213–30.0313%20 Jul →
nuke9–13-0.0615%20 Jul →
nuke8–13-0.0817%20 Jul →
dust28–13-0.0123%20 Jul →
inferno11–13-0.0022%19 Jul →
nuke16–19-0.0314%19 Jul →
dust214–16-0.0413%19 Jul →
nuke4–13-0.025%17 Jul →
dust213–10-0.029%17 Jul →
dust213–7-0.0123%17 Jul →
inferno9–13-0.0713%15 Jul →
nuke16–130.0133%15 Jul →
dust25–13-0.0613%14 Jul →
inferno13–100.0215%14 Jul →
inferno14–16-0.0514%13 Jul →
inferno13–110.0128%12 Jul →
dust213–90.0123%12 Jul →
inferno13–10-0.0514%12 Jul →
inferno13–8-0.0324%11 Jul →
inferno11–13-0.0316%11 Jul →
dust216–14-0.0624%11 Jul →
dust29–13-0.0711%7 Jul →
dust213–8-0.0819%7 Jul →
dust26–13-0.088%5 Jul →
nuke11–13-0.0718%5 Jul →
dust28–13-0.0812%5 Jul →
inferno11–130.0315%5 Jul →
dust210–13-0.0517%4 Jul →
inferno13–11-0.0420%4 Jul →
dust213–7-0.0327%4 Jul →
dust29–13-0.0521%3 Jul →
nuke13–5-0.0313%3 Jul →
dust211–13-0.0718%3 Jul →
dust216–120.0027%3 Jul →
dust29–13-0.0421%1 Jul →
inferno13–110.0319%1 Jul →
overpass13–70.0218%30 Jun →
dust27–13-0.0423%30 Jun →

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 →

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