N3rV

N3rV — CS2 Stats

DK76561199061809663[U:1:1101543935]Steam profile ↗✓ No bans

201Tracked matches59%Win rate2020Tracked since
377Hours in CS3Hrs last 2 wks
CSDB Rating6.3 SolidSupport
Premier CS Rating15,084Purple band · top ~28.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (10 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: 15,084 +3,716 22 Mar – 16 Oct · 25 days played
11,36817,047peak 17,04722 Mar16 Oct
17,047Peak Premier in tracked matches
42Days played since 2026-03-17

Premier CS Rating

  • 1,963 below peak (17,047)
  • -474 over 30 days · declining
  • Next: Pink band at 20,000 — 4,916 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-24
  • Blue band first seen 2026-09-24

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches12——
Win rate33%——
K/D1.02——
Headshot %42%——

Measured 24 Sep 2026 → 26 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate40.4%44.4%46.9%6.6% short
Shot accuracy7.6%11.9%13.0%5.3% short
Kill/death ratio1.181.031.08above
Match win rate51.9%45.2%46.7%above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGN3rVPREMIER15,084 · Purple bandcsdb.gg/stats

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Performance scores

Aim81
Positioning45
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY55–39–6Last 10055%Win rateTLLWLWWLWW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · +0.3pp headshot accuracy · −25ms 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 534ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 560ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 572ms

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 (+2.2 against its own average).

Aim8.1
Utility6.3
Positioning4.5
Opening Duels1.4

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

b1t

Plays most like b1t 79% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Reaction time. 611ms 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

Aim8.1
Positioning4.5
Utility6.3
Mechanics6.8
Opening Duels1.8
Win Impact7.9

Composite 6.3/10 (Solid), 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 rating0.02−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time604ms−50ms
first ⅓ avg 655ms → last ⅓ avg 604ms
Headshot accuracy15.7%−0.7%
first ⅓ avg 16.4% → last ⅓ avg 15.7%

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

0.15Best match rating · 13–11 · cache, 19 Jun →
35%Best headshot accuracy · 3–13 · dust2, 29 Jun →
406msFastest reaction time · 10–13 · inferno, 16 Oct →
13–0Biggest win · mirage, 19 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 83% over 6dust2Weakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2212–1055%0.01
ancientS1611–569%0.01
nukeS1510–567%0.03
mirageD124–833%0.00
anubisC104–640%0.02
cacheS96–367%0.04
dust2D70–70%-0.01
overpassS65–183%0.04
vertigo—22–0100%0.03
italy—11–0100%0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,160Lifetime kills
1.18K/D · Top 25% of Purple band
424Matches
51.9%Match win rate · Top 10% of Purple band
40.4%Headshot %
7.6%Shot accuracy
1,099MVPs
208Hours (in match)
575Bombs planted
155Bombs defused

Most-used weapons

Lifetime map wins

788inferno
618nuke
541vertigo
540dust2
129train
80office
16safehouse
13italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.8%Headshot accuracy
41.2%Accuracy (enemy spotted)
46.7%Spray accuracy
80.7%Counter-strafing
9.6°Preaim
611msReaction time
43.2%T opening success
31.6%CT opening success
0.66Enemies flashed / flash
4.5%Flash assists
6.64HE damage / grenade
14.26Flashes / 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 31.5568% — 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.

0% win rate across 7 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
anubis12–120.0116%24 Oct →
inferno8–130.0217%16 Oct →
inferno10–13-0.0012%16 Oct →
mirage13–80.0813%2 Oct →
mirage4–13-0.0513%2 Oct →
inferno13–110.0212%2 Oct →
cache13–80.0818%29 Sept →
ancient9–130.0216%26 Sept →
vertigo13–30.0914%25 Sept →
anubis13–110.0423%19 Sept →
mirage13–00.0721%19 Sept →
ancient13–30.1116%19 Sept →
ancient3–13-0.093%19 Sept →
dust28–13-0.0119%19 Sept →
ancient13–90.0523%15 Aug →
mirage13–90.0119%14 Aug →
nuke3–13-0.019%14 Aug →
mirage8–13-0.0216%14 Aug →
nuke13–30.1117%5 Aug →
inferno13–30.048%5 Aug →
inferno13–70.0113%5 Aug →
inferno13–30.0518%5 Aug →
nuke3–130.0717%5 Aug →
mirage13–4-0.0318%5 Aug →
ancient13–90.0115%5 Aug →
mirage9–13-0.0314%4 Aug →
mirage2–13-0.0527%4 Aug →
vertigo13–11-0.0321%2 Aug →
anubis5–13-0.008%2 Aug →
nuke13–80.0413%29 Jul →
ancient9–130.0122%29 Jul →
dust24–13-0.000%29 Jul →
mirage2–13-0.0526%29 Jul →
cache8–130.0214%19 Jul →
nuke13–40.0612%19 Jul →
inferno8–13-0.0513%19 Jul →
cache13–80.0417%19 Jul →
ancient11–13-0.0119%17 Jul →
ancient13–110.0425%17 Jul →
cache13–100.007%17 Jul →
inferno13–50.0216%10 Jul →
ancient16–14-0.0115%10 Jul →
anubis4–130.0119%10 Jul →
inferno13–9-0.0118%3 Jul →
overpass13–40.0315%3 Jul →
nuke13–30.0613%3 Jul →
nuke13–3-0.0212%3 Jul →
cache2–7-0.087%2 Jul →
ancient16–130.0517%30 Jun →
ancient13–60.0615%29 Jun →
mirage8–130.0225%29 Jun →
dust23–13-0.0035%29 Jun →
ancient13–100.0512%28 Jun →
inferno5–130.0720%20 Jun →
cache13–110.1531%19 Jun →
nuke9–13-0.0115%10 Jun →
dust28–13-0.0220%31 May →
inferno5–00.0913%31 May →
cache13–30.0618%24 May →
cache3–130.1023%24 May →
cache13–8-0.048%24 May →
italy13–20.0918%23 May →
ancient13–9-0.0310%29 Apr →
ancient16–12-0.025%29 Apr →
inferno4–13-0.120%17 Apr →
inferno11–13-0.1010%17 Apr →
overpass13–90.0314%15 Apr →
nuke13–90.025%15 Apr →
anubis11–13-0.0215%15 Apr →
nuke15–150.0414%15 Apr →
dust210–130.0019%11 Apr →
inferno13–40.0418%8 Apr →
nuke13–110.0213%8 Apr →
inferno13–20.0923%8 Apr →
overpass13–90.0515%5 Apr →
inferno13–40.0110%5 Apr →
overpass11–130.0418%5 Apr →
anubis13–80.0612%1 Apr →
overpass13–00.0920%1 Apr →
dust28–13-0.0120%31 Mar →
mirage15–150.0316%31 Mar →
inferno11–130.0411%30 Mar →
overpass13–30.0219%30 Mar →
nuke13–8-0.0224%30 Mar →
inferno8–130.0113%29 Mar →
inferno13–80.0220%29 Mar →
mirage4–130.0318%29 Mar →
inferno15–150.0118%28 Mar →
nuke13–60.1417%28 Mar →
anubis8–13-0.0516%28 Mar →
anubis13–100.0916%28 Mar →
anubis5–110.0114%28 Mar →
ancient7–13-0.0316%27 Mar →
anubis13–20.1017%25 Mar →
inferno13–70.0116%25 Mar →
inferno15–150.0018%22 Mar →
nuke13–10-0.038%22 Mar →
ancient13–70.0121%22 Mar →
nuke12–120.0219%17 Mar →
dust24–13-0.0425%17 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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