Nasty

Nasty — CS2 Stats

SE76561198281371366[U:1:321105638]Steam profile ↗✓ No bans

1,719Tracked matches63%Win rate2020Tracked since
CSDB Rating6.9 SolidPositional Player
Premier CS Rating24,895Top 25% of 215,386 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)
CSDB Leaderboard#24582 of 261544 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 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: 24,895 +1,944 16 Aug – 12 Nov · 26 days played
19,89824,991peak 24,99116 Aug12 Nov
Faceit ELO: 1,990 +0 1 Sept – 29 Oct · 3 observations
1,9901,990peak 1,9901 Sept29 Oct
24,999Peak Premier in tracked matches
1,990Highest Faceit ELO seen on CSDB
26Days played since 2026-08-15

Faceit ELO

  • At peak — 1,990
  • Next: Level 10 at 2,001 — 11 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-01
  • Level 8 first seen 2026-09-01

Premier CS Rating

  • 96 below peak (24,991)
  • +4,702 over 30 days · improving
  • +1,944 over 90 days
  • Next: Red band at 25,000 — 105 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGNastyPREMIER24,895 · Pink bandPEAK ELO1,990csdb.gg/stats

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Performance scores

Aim71
Positioning70
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateLTWLWWLLWW

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +2.7pp headshot accuracy · +27ms reaction

Win rate down 30pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 571ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 560ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 547ms

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 (+1.5 against its own average).

Aim7.1
Utility5.8
Positioning7.0
Opening Duels5.4
Clutch3.6

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 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Areas to improve

Reaction time. 561ms 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

Aim7.1
Positioning7.0
Utility5.8
Mechanics5.1
Opening Duels6.9
Win Impact9.3

Composite 6.9/10 (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+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time560ms−6ms
first ⅓ avg 566ms → last ⅓ avg 560ms
Headshot accuracy13.9%−4.8%
first ⅓ avg 18.7% → last ⅓ avg 13.9%

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

0.17Best match rating · 13–8 · nuke, 16 Oct →
31%Best headshot accuracy · 6–13 · mirage, 16 Aug →
398msFastest reaction time · 13–4 · ancient, 15 Aug →
13–3Biggest win · ancient, 2 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
8–9In matches decided by ≤2 rounds
16Overtime games

Map breakdown

vertigoBest map · 60% over 5infernoWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB179–853%0.03
cacheA169–756%0.02
anubisC156–940%-0.01
ancientB137–654%0.03
dust2D124–833%-0.00
infernoD112–918%-0.01
nukeB105–550%0.02
vertigoA53–260%-0.00
train—11–0100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

501Matches
54%Win rate
1.04Avg K/D
72.2ADR
36%Headshot %

Clutches & streaks

38%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust24862%1.0015.3
Mirage3444%0.8312.9
Anubis2969%0.9914.6
Ancient2055%0.8713.9
Inferno2060%0.8112.1
Nuke1080%0.8912.9
Train520%0.7411.8
Overpass20%0.8616.0

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.

13.7%Headshot accuracy
37.0%Accuracy (enemy spotted)
42.4%Spray accuracy
73.1%Counter-strafing
9.1°Preaim
561msReaction time
57.1%T opening success
57.9%CT opening success
0.47Enemies flashed / flash
5.2%Flash assists
7.40HE damage / grenade
20.42Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.6504% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4696 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0130%12 Nov →
cache15–150.0314%12 Nov →
dust213–80.0112%12 Nov →
dust213–16-0.0414%12 Nov →
cache13–110.0615%11 Nov →
ancient13–4-0.0412%11 Nov →
cache13–160.0720%10 Nov →
anubis13–16-0.076%10 Nov →
anubis13–8-0.0111%2 Nov →
ancient13–30.1514%2 Nov →
cache13–50.0514%2 Nov →
inferno13–90.0711%1 Nov →
vertigo13–80.0618%1 Nov →
cache13–70.0410%1 Nov →
anubis13–10-0.0318%31 Oct →
nuke13–60.0510%31 Oct →
inferno10–13-0.0414%31 Oct →
dust213–7-0.0511%31 Oct →
anubis14–16-0.064%31 Oct →
cache13–9-0.0111%31 Oct →
mirage10–130.0816%31 Oct →
anubis13–11-0.0315%31 Oct →
ancient13–9-0.0212%31 Oct →
mirage13–40.0322%31 Oct →
mirage15–150.0315%31 Oct →
anubis5–13-0.049%31 Oct →
ancient15–150.0511%30 Oct →
ancient8–13-0.019%30 Oct →
anubis11–130.0117%30 Oct →
cache16–140.0117%30 Oct →
ancient14–16-0.0314%30 Oct →
dust28–13-0.0221%30 Oct →
ancient7–13-0.0412%30 Oct →
inferno13–30.0122%30 Oct →
anubis13–90.019%30 Oct →
anubis13–80.0410%26 Oct →
ancient16–13-0.0313%20 Oct →
mirage11–130.0615%20 Oct →
nuke13–90.0211%19 Oct →
mirage13–70.0713%19 Oct →
mirage13–60.0311%19 Oct →
cache13–11-0.0221%19 Oct →
inferno9–13-0.0214%18 Oct →
nuke10–13-0.0517%18 Oct →
ancient13–110.1015%18 Oct →
mirage13–110.0119%18 Oct →
cache11–130.0011%18 Oct →
mirage13–100.0319%18 Oct →
mirage7–13-0.0321%18 Oct →
anubis7–13-0.0312%18 Oct →
dust215–15-0.0221%17 Oct →
dust213–50.0721%17 Oct →
ancient13–30.0314%16 Oct →
nuke13–80.1715%16 Oct →
mirage13–110.0217%16 Oct →
cache13–70.0124%16 Oct →
dust211–130.0720%15 Oct →
dust210–13-0.0220%15 Oct →
inferno10–13-0.066%14 Oct →
cache13–70.0721%14 Oct →
nuke13–10-0.0121%14 Oct →
cache12–16-0.0110%4 Oct →
inferno5–130.029%4 Oct →
nuke9–13-0.0024%4 Oct →
anubis12–120.0519%4 Oct →
mirage7–130.0125%4 Oct →
cache16–120.0011%4 Oct →
cache12–12-0.018%3 Oct →
nuke16–14-0.0218%1 Oct →
dust210–130.0115%1 Oct →
dust28–130.0117%1 Oct →
inferno10–130.0529%27 Sept →
inferno6–13-0.0715%27 Sept →
mirage11–130.0022%27 Sept →
nuke1–13-0.0126%27 Sept →
anubis13–6-0.0111%27 Sept →
vertigo4–13-0.0613%25 Sept →
mirage13–60.0628%20 Sept →
ancient3–13-0.0116%20 Sept →
vertigo13–8-0.0221%27 Aug →
mirage13–70.0711%27 Aug →
inferno11–130.0321%27 Aug →
anubis9–13-0.0512%20 Aug →
anubis14–160.0616%18 Aug →
ancient13–160.0319%18 Aug →
inferno7–13-0.1020%18 Aug →
dust213–100.0117%18 Aug →
nuke7–130.0617%16 Aug →
cache6–130.0312%16 Aug →
inferno10–13-0.0227%16 Aug →
mirage2–130.0422%16 Aug →
anubis2–6-0.0629%16 Aug →
mirage13–30.0320%16 Aug →
dust21–13-0.0514%16 Aug →
mirage6–13-0.0131%16 Aug →
vertigo4–13-0.0315%15 Aug →
ancient13–40.1619%15 Aug →
train13–80.0221%15 Aug →
cache4–13-0.0123%15 Aug →
vertigo13–100.0414%15 Aug →

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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