Neville

Neville — CS2 Stats

GB76561198074674591[U:1:114408863]Steam profile ↗✓ No bans

1,264Tracked matches54%Win rate2020Tracked since
3,626Hours in CS30Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating12,143Blue band · top ~43.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+90Premier CS Rating · 12,053 → 12,143

Rating over time

Premier CS Rating: 12,143 +1,207 22 Sept – 14 Nov · 29 days played
9,28512,899peak 12,89922 Sept14 Nov
12,899Peak Premier in tracked matches
29Days played since 2026-09-22

Premier CS Rating

  • 756 below peak (12,899)
  • +608 over 30 days · improving
  • Next: Purple band at 15,000 — 2,857 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-22
  • Light Blue band first seen 2026-09-22

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate40.6%42.0%44.4%3.8% short
Shot accuracy13.9%9.6%11.9%above
Kill/death ratio0.990.981.030.04 short
Match win rate41.4%43.8%45.2%3.8% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGNevillePREMIER12,143 · Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning58
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWLLLWLWLWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −2.9pp headshot accuracy · −47ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 545ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 532ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 556ms

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).

Aim4.8
Utility5.5
Positioning5.8
Opening Duels1.9

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

Twistzz

Plays most like Twistzz 69% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 57% on T to 36% on CT — first contacts on the defending side are being lost.

Reaction time. 570ms 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

Aim4.8
Positioning5.8
Utility5.5
Mechanics4.8
Opening Duels4.2
Win Impact6.2

Composite 4.9/10 (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 rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time575ms−15ms
first ⅓ avg 591ms → last ⅓ avg 575ms
Headshot accuracy18.8%+1.7%
first ⅓ avg 17.1% → last ⅓ avg 18.8%

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

0.16Best match rating · 13–5 · inferno, 9 Nov →
50%Best headshot accuracy · 3–0 · ancient, 8 Oct →
391msFastest reaction time · 5–13 · anubis, 20 Oct →
13–2Biggest win · cache, 7 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 69% over 13mirageWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
dust2A2112–957%-0.02
mirageD185–1328%-0.03
cacheA1810–856%-0.02
anubisS139–469%-0.01
ancientC125–742%0.01
infernoC104–640%-0.00
nukeA53–260%0.01
vertigo—10–10%0.02
office—10–10%-0.00
train—11–0100%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (28% over 18). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,450Lifetime kills
0.99K/D · Top 50% of Blue band
5,076Matches
41.4%Match win rate
40.6%Headshot %
13.9%Shot accuracy · Top 50% of Blue band
11,574MVPs
2,029Hours (in match)
4,584Bombs planted
1,497Bombs defused

Most-used weapons

AK-4723,851
AWP12,080
P903,134
P2502,963
Tec-92,433
SSG 082,055

Lifetime map wins

14,769dust2
4,011inferno
2,708nuke
2,136vertigo
1,252train
1,071cbble
598office
180lake

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

Faceit stats

Combat

100Matches
43%Win rate
1.01Avg K/D
—ADR
33%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWL

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.

18.4%Headshot accuracy
30.3%Accuracy (enemy spotted)
30.9%Spray accuracy
71.4%Counter-strafing
11.7°Preaim
570msReaction time
57.1%T opening success
36.2%CT opening success
0.51Enemies flashed / flash
6.3%Flash assists
8.40HE damage / grenade
11.12Flashes / 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 36.1863% — 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.

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–30.0412%14 Nov →
anubis10–130.0031%14 Nov →
inferno10–13-0.0515%14 Nov →
vertigo7–130.0220%14 Nov →
nuke13–10-0.0117%14 Nov →
office7–13-0.0012%14 Nov →
nuke13–90.0515%14 Nov →
ancient7–130.0215%14 Nov →
train13–110.0113%13 Nov →
anubis10–130.0218%13 Nov →
mirage5–130.0227%13 Nov →
cache11–13-0.0018%13 Nov →
cache13–6-0.0421%11 Nov →
dust21–13-0.0322%11 Nov →
cache15–150.0322%11 Nov →
inferno13–110.0515%10 Nov →
cache8–2-0.0512%10 Nov →
dust213–80.0325%10 Nov →
nuke8–130.0223%9 Nov →
ancient15–150.0011%9 Nov →
inferno13–50.1623%9 Nov →
mirage10–13-0.026%9 Nov →
dust213–40.0723%9 Nov →
dust213–110.0219%9 Nov →
dust28–13-0.0412%8 Nov →
cache13–80.0215%5 Nov →
ancient13–90.0117%5 Nov →
anubis13–7-0.0013%5 Nov →
dust213–90.0126%5 Nov →
inferno5–13-0.0340%3 Nov →
mirage10–13-0.0332%3 Nov →
mirage13–110.0124%2 Nov →
mirage13–16-0.038%2 Nov →
cache8–13-0.0614%1 Nov →
dust28–13-0.0614%1 Nov →
ancient13–10-0.0024%28 Oct →
dust213–3-0.0119%27 Oct →
cache15–15-0.0018%27 Oct →
ancient10–13-0.0113%27 Oct →
cache6–13-0.1210%27 Oct →
dust213–100.0017%27 Oct →
nuke13–6-0.0032%24 Oct →
cache13–30.0419%24 Oct →
mirage4–13-0.056%22 Oct →
mirage11–130.0220%22 Oct →
ancient11–13-0.0329%22 Oct →
anubis16–14-0.0120%22 Oct →
cache13–60.1032%22 Oct →
ancient4–130.0315%21 Oct →
dust211–130.0524%21 Oct →
anubis5–13-0.0514%20 Oct →
mirage1–6-0.050%20 Oct →
ancient9–13-0.0710%20 Oct →
dust29–13-0.0512%20 Oct →
inferno10–13-0.0321%19 Oct →
anubis13–8-0.0511%19 Oct →
ancient13–100.0217%19 Oct →
dust213–5-0.0425%18 Oct →
anubis13–8-0.0610%18 Oct →
mirage13–7-0.0716%18 Oct →
mirage10–13-0.0116%16 Oct →
inferno1–13-0.0324%16 Oct →
dust213–10-0.047%15 Oct →
mirage12–16-0.0229%15 Oct →
inferno13–11-0.0035%15 Oct →
mirage13–8-0.0224%15 Oct →
cache13–9-0.0119%14 Oct →
anubis13–90.013%14 Oct →
dust23–130.0525%14 Oct →
inferno11–13-0.1015%14 Oct →
cache13–9-0.0221%12 Oct →
dust213–11-0.0026%12 Oct →
mirage13–10-0.036%12 Oct →
dust213–11-0.0324%10 Oct →
anubis10–13-0.047%9 Oct →
ancient13–50.0514%9 Oct →
mirage3–13-0.0220%9 Oct →
cache5–11-0.094%9 Oct →
anubis13–4-0.0115%8 Oct →
cache8–13-0.0722%8 Oct →
mirage4–13-0.0820%8 Oct →
ancient5–13-0.0215%8 Oct →
cache15–15-0.1026%8 Oct →
mirage12–16-0.0216%8 Oct →
ancient3–00.0750%8 Oct →
dust24–13-0.0723%7 Oct →
cache13–9-0.0113%7 Oct →
nuke5–130.0011%7 Oct →
cache13–20.0313%7 Oct →
dust23–13-0.1213%7 Oct →
cache8–40.0150%6 Oct →
dust213–8-0.0112%6 Oct →
dust29–13-0.089%6 Oct →
mirage10–13-0.098%6 Oct →
mirage13–2-0.0016%6 Oct →
anubis13–90.0811%4 Oct →
dust213–50.0110%4 Oct →
inferno13–50.0116%3 Oct →
anubis13–11-0.0315%3 Oct →
inferno6–13-0.0018%3 Oct →

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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