Lord Nelson

Lord Nelson — CS2 Stats

PE76561198164305921[U:1:204040193]Steam profile ↗✓ No bans

1,599Tracked matches70%Win rate2020Tracked since
5,702Hours in CS9Hrs last 2 wks
CSDB Rating7.0 StrongSupport
Premier CS Rating21,268Top 50% of 204,412 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)
CSDB Leaderboard#64056 of 251800 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (3 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: 21,268 +1,868 6 Sept – 12 Oct · 19 days played
19,10624,244peak 24,2446 Sept12 Oct
24,814Peak Premier in tracked matches
1,575Highest Faceit ELO seen on CSDB
32Days played since 2025-08-25

Faceit ELO

  • At peak — 1,575
  • Next: Level 9 at 1,751 — 176 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • 2,976 below peak (24,244)
  • Next: Red band at 25,000 — 3,732 to go
  • Reached: Pink band · 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate41.2%46.9%49.3%8.0% short
Shot accuracy15.2%13.0%13.4%above
Kill/death ratio1.041.081.120.08 short
Match win rate46.3%46.7%48.5%2.2% short

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

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

Share this profile

CSDB.GGLord NelsonPREMIER21,268 · Pink bandPEAK ELO1,575csdb.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

Aim71
Positioning58
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY61–38–1Last 10061%Win rateLLLWWWWLLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −5.6pp headshot accuracy · −7ms reaction

Win rate down 20pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 619ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 599ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 602ms

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 (+1.2 against its own average).

Aim7.1
Utility6.2
Positioning5.8
Opening Duels3.5
Clutch4.6

Excellent counter-strafing

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

ZywOo

Plays most like ZywOo 88% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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. 620ms 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
Positioning5.8
Utility6.2
Mechanics8.5
Opening Duels3.4
Win Impact10.0

Composite 7.0/10 (Strong), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time618ms−46ms
first ⅓ avg 663ms → last ⅓ avg 618ms
Headshot accuracy18.6%−0.5%
first ⅓ avg 19.1% → last ⅓ avg 18.6%

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

0.18Best match rating · 13–6 · dust2, 24 Nov →
56%Best headshot accuracy · 0–5 · dust2, 9 Sept →
398msFastest reaction time · 13–3 · dust2, 3 Oct →
13–0Biggest win · train, 30 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L3Current streak
12–1In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 66% over 38ancientWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2S3825–1366%0.01
mirageS3120–1165%0.02
ancientD155–1033%-0.02
infernoA95–456%0.01
cache—32–167%-0.01
train—22–0100%0.03
nuke—11–0100%0.05
overpass—11–0100%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

172,286Lifetime kills
1.04K/D
7,025Matches
46.3%Match win rate
41.2%Headshot %
15.2%Shot accuracy · Top 50% of Pink band
21,013MVPs
3,331Hours (in match)
6,727Bombs planted
2,595Bombs defused

Most-used weapons

AK-4767,129
AWP21,770
UMP-454,009
P2503,650
Knife2,816

Lifetime map wins

36,542dust2
5,904inferno
275train
181nuke
176cbble
134bank
118vertigo
116safehouse

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

Faceit stats

Combat

829Matches
51%Win rate
1.14Avg K/D
72.8ADR
45%Headshot %

Clutches & streaks

43%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage17949%1.1214.7
Dust214754%1.1315.2
Inferno8555%0.9813.8
Ancient6247%0.9414.1
Anubis825%1.0617.6
Nuke333%0.7410.7
Overpass1100%1.0014.0
Cache1100%1.0716.0

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.

18.5%Headshot accuracy
34.6%Accuracy (enemy spotted)
39.0%Spray accuracy
88.1%Counter-strafing
11.1°Preaim
620msReaction time
41.5%T opening success
45.5%CT opening success
0.68Enemies flashed / flash
7.8%Flash assists
8.89HE damage / grenade
9.40Flashes / match

Recommended for you

Spend your practice time on Ancient

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust20–13-0.0211%12 Oct →
cache9–13-0.0512%12 Oct →
dust210–130.0315%12 Oct →
dust213–50.0626%12 Oct →
dust213–70.0218%12 Oct →
dust213–60.029%11 Oct →
cache13–30.0115%11 Oct →
ancient12–160.0020%11 Oct →
ancient6–13-0.0218%11 Oct →
ancient16–14-0.027%6 Sept →
inferno5–13-0.0718%6 Sept →
ancient13–70.0221%6 Sept →
mirage13–6-0.0213%6 Sept →
cache13–80.0236%6 Sept →
dust24–13-0.0621%6 Sept →
dust213–20.0921%6 Sept →
dust213–90.0815%31 Aug →
mirage7–13-0.0619%31 Aug →
mirage13–60.1428%30 Aug →
mirage13–70.0916%30 Aug →
nuke13–60.0522%24 Nov →
dust213–60.1822%24 Nov →
dust212–40.0721%24 Nov →
inferno16–140.0116%16 Nov →
dust213–8-0.0229%16 Nov →
mirage13–11-0.0218%16 Nov →
mirage13–50.0931%16 Nov →
mirage5–13-0.0617%30 Oct →
train13–0-0.046%30 Oct →
dust213–9-0.0021%30 Oct →
dust213–8-0.0114%29 Oct →
dust29–00.0527%25 Oct →
mirage11–10.0214%25 Oct →
train13–80.1012%25 Oct →
mirage13–60.0016%25 Oct →
mirage13–60.0535%25 Oct →
dust213–100.0224%25 Oct →
mirage8–13-0.0111%20 Oct →
ancient8–13-0.0411%20 Oct →
mirage16–130.0914%20 Oct →
dust213–80.0221%20 Oct →
ancient6–13-0.0515%11 Oct →
mirage13–60.0720%10 Oct →
mirage13–70.0311%9 Oct →
ancient13–70.0111%9 Oct →
ancient13–110.009%8 Oct →
mirage13–100.0115%8 Oct →
dust24–13-0.0423%4 Oct →
dust213–80.0119%4 Oct →
mirage8–130.0122%4 Oct →
dust213–3-0.0117%3 Oct →
dust213–40.0410%3 Oct →
dust213–90.0727%3 Oct →
mirage6–13-0.044%3 Oct →
dust213–110.0217%3 Oct →
ancient13–16-0.0215%1 Oct →
ancient10–13-0.0534%1 Oct →
ancient5–130.019%25 Sept →
dust26–13-0.0413%25 Sept →
inferno9–130.0010%25 Sept →
ancient8–13-0.038%25 Sept →
mirage7–130.0313%23 Sept →
inferno13–50.0730%23 Sept →
dust24–13-0.0519%23 Sept →
dust213–11-0.0216%23 Sept →
mirage16–14-0.0311%22 Sept →
dust25–13-0.0216%22 Sept →
inferno16–140.0516%14 Sept →
mirage4–13-0.0314%14 Sept →
inferno13–80.0226%14 Sept →
ancient7–13-0.0515%13 Sept →
mirage7–130.0120%13 Sept →
inferno13–80.0916%11 Sept →
mirage8–00.0121%11 Sept →
dust20–5-0.1156%9 Sept →
mirage13–60.0213%9 Sept →
dust213–70.0130%9 Sept →
mirage13–40.1531%9 Sept →
dust213–10-0.0226%7 Sept →
mirage13–80.049%7 Sept →
dust29–130.0411%7 Sept →
inferno7–13-0.046%7 Sept →
dust219–150.0123%7 Sept →
mirage7–130.0319%6 Sept →
dust213–110.1719%6 Sept →
inferno14–16-0.0416%1 Sept →
dust24–130.0026%1 Sept →
dust29–13-0.0010%31 Aug →
dust26–13-0.0514%31 Aug →
mirage13–40.0314%31 Aug →
mirage13–10-0.026%31 Aug →
mirage12–160.0223%31 Aug →
dust210–13-0.0026%31 Aug →
dust213–60.0025%30 Aug →
mirage16–140.0215%30 Aug →
ancient13–11-0.009%28 Aug →
dust213–11-0.0127%28 Aug →
ancient12–12-0.0317%25 Aug →
mirage7–13-0.0215%25 Aug →
overpass13–10-0.0016%25 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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