4 am in London

4 am in London — CS2 Stats

BE76561198113792199[U:1:153526471]Steam profile ↗✓ No bans

2,434Tracked matches72%Win rate2020Tracked since
9,380Hours in CS66Hrs last 2 wks
CSDB Rating7.0 StrongSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

+16Tracked matches · now 2,434
0.0ppWin rate · 72.4% → 72.4%

Rating over time

17,593Peak Premier in tracked matches
2,766Highest Faceit ELO seen on CSDB
69Days played since 2024-03-07

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.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches24240
Win rate67%46%+21pp
K/D0.720.74−0.02
Headshot %65%72%−7pp

Measured 2 Oct 2026 → 7 Oct 2026; previous 23 Sep 2026 → 2 Oct 2026.

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches97——
Win rate53%——
K/D0.69——
Headshot %77%——

Measured 5 Sep 2026 → 7 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 Level 10 among CSDB-tracked players (n=29,304), 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 playerLevel 10 median
Headshot rate57.5%50.9%
Shot accuracy14.3%13.8%
Kill/death ratio0.751.09
Match win rate49.5%48.4%

Share this profile

CSDB.GG4 am in LondonFACEITLevel 10STANDINGTop 12.4% of rankedPEAK ELO2,766csdb.gg/stats

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Performance scores

Aim89
Positioning54
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLLWWTWWWWL

Last 10 vs previous 10: −20pp win rate · +0.03 avg rating · +2.1pp headshot accuracy · −21ms reaction

Win rate down 20pp 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 (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 511ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 492ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 502ms

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).

Aim8.9
Utility5.9
Positioning5.4
Opening Duels3.8
Clutch3.8

Sharp aimerEffective flashes

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

NiKo

Plays most like NiKo 93% playstyle similarity

Most alike: aim profile, 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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

Aim8.9
Positioning5.4
Utility5.9
Mechanics6.5
Opening Duels3.7
Win Impact10.0

Composite 7.0/10 (Strong), 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-0.01+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time532ms−61ms
first ⅓ avg 593ms → last ⅓ avg 532ms
Headshot accuracy22.3%+1.3%
first ⅓ avg 21.0% → last ⅓ avg 22.3%

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 · 13–2 · mirage, 6 Nov →
50%Best headshot accuracy · 13–11 · anubis, 1 Nov →
383msFastest reaction time · 13–4 · ancient, 3 Oct →
13–0Biggest win · dust2, 26 Feb →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
5–10In matches decided by ≤2 rounds
15Overtime games

Map breakdown

dust2Best map · 59% over 22anubisWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB3216–1650%-0.01
ancientB2312–1152%-0.01
dust2A2213–959%0.00
anubisC125–742%-0.01
nuke—42–250%-0.05
inferno—31–233%-0.01
overpass—32–167%-0.01
train—11–0100%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

256,714Lifetime kills
0.75K/D
6,987Matches
49.5%Match win rate · Top 50% of Level 10 players
57.5%Headshot % · Top 25% of Level 10 players
14.3%Shot accuracy · Top 50% of Level 10 players
18,295MVPs
26,737Hours (in match)
6,285Bombs planted
1,793Bombs defused

Most-used weapons

AK-4799,571
AWP46,491
Knife5,739
MP93,362
SSG 082,011

Lifetime map wins

11,850dust2
7,440inferno
4,075nuke
3,002vertigo
1,742train
10cbble
9office
8safehouse

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

Faceit stats

Combat

6,057Matches
52%Win rate
1.07Avg K/D
82.0ADR
48%Headshot %

Clutches & streaks

39%1v1 clutch win
17%1v2 clutch win
30Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage91256%1.1616.7
Ancient52255%1.1316.4
Anubis49256%1.2017.1
Dust249253%1.1216.0
Nuke19048%1.1415.9
Overpass8753%1.1116.5
Inferno4641%1.1014.7
Vertigo4238%1.0415.6

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.

22.3%Headshot accuracy
40.3%Accuracy (enemy spotted)
41.1%Spray accuracy
79.1%Counter-strafing
8.5°Preaim
519msReaction time
39.5%T opening success
50.2%CT opening success
0.72Enemies flashed / flash
11.6%Flash assists
6.83HE damage / grenade
7.93Flashes / 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 39.4535% — below the 40% mark we flag

Spend your practice time on Anubis

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis20–220.0335%6 Oct →
ancient6–13-0.0618%5 Oct →
ancient13–40.0435%3 Oct →
ancient13–90.0222%30 Sept →
inferno15–150.0818%23 Sept →
dust213–80.0432%17 Sept →
mirage13–90.0120%7 Sept →
inferno13–9-0.0717%7 Sept →
mirage13–80.0211%4 Sept →
ancient4–13-0.0222%3 Sept →
mirage13–100.0420%30 Aug →
mirage9–13-0.0811%30 Aug →
ancient13–9-0.0226%30 Aug →
dust213–11-0.0223%30 Aug →
anubis13–10-0.0518%29 Aug →
anubis13–6-0.0218%29 Aug →
dust213–70.0433%27 Aug →
ancient13–9-0.0318%26 Aug →
ancient11–13-0.0113%26 Aug →
ancient13–6-0.0528%26 Aug →
anubis4–13-0.0213%26 Aug →
mirage7–13-0.0713%25 Aug →
ancient13–9-0.0320%19 Aug →
mirage13–50.0323%31 Mar →
dust213–30.0519%27 Mar →
dust213–0-0.0319%26 Feb →
dust210–130.1025%13 Nov →
mirage13–9-0.0222%11 Sept →
dust213–70.0143%11 Sept →
mirage13–60.0426%11 Sept →
mirage13–16-0.0327%11 Sept →
ancient2–13-0.0125%10 Sept →
dust213–7-0.0525%10 Sept →
mirage14–16-0.0322%29 Aug →
nuke13–9-0.038%29 Aug →
dust211–13-0.0119%27 Aug →
overpass4–13-0.0215%27 Aug →
mirage13–4-0.0621%27 Aug →
mirage9–12-0.0322%27 Aug →
mirage13–10-0.0627%26 Aug →
mirage16–12-0.0426%26 Aug →
dust213–40.0325%26 Aug →
anubis9–13-0.0022%5 May →
ancient13–60.0319%26 Mar →
ancient3–12-0.0620%7 Mar →
mirage5–13-0.0224%5 Mar →
ancient7–13-0.0715%19 Feb →
dust213–40.0525%13 Jan →
mirage7–13-0.0527%13 Jan →
anubis4–13-0.0622%7 Jan →
mirage10–13-0.0312%1 Jan →
dust213–100.0731%30 Dec →
mirage13–70.0519%28 Dec →
train13–10-0.0219%24 Dec →
mirage11–13-0.0319%10 Dec →
dust21–13-0.1226%16 Nov →
ancient8–130.0118%11 Nov →
dust219–22-0.0230%6 Nov →
mirage14–16-0.0128%6 Nov →
dust214–160.0917%6 Nov →
mirage13–20.1543%6 Nov →
mirage13–100.0526%5 Nov →
mirage13–50.1027%5 Nov →
anubis13–110.0850%1 Nov →
mirage13–10-0.0130%1 Nov →
dust210–13-0.0424%28 Sept →
mirage10–130.0323%24 Sept →
dust213–40.0515%24 Sept →
ancient2–13-0.104%3 Sept →
ancient13–8-0.0012%16 Aug →
mirage13–16-0.0918%8 Aug →
nuke13–11-0.029%24 Jul →
anubis13–80.0423%30 Jun →
dust24–13-0.0613%17 Jun →
inferno6–13-0.0433%12 Jun →
mirage16–190.0336%10 Jun →
dust211–13-0.0626%1 Jun →
anubis14–16-0.0117%26 May →
ancient5–130.0022%10 May →
ancient16–140.0316%8 May →
dust25–13-0.0125%7 May →
dust213–6-0.068%3 May →
dust213–9-0.0117%29 Apr →
nuke11–13-0.0227%24 Apr →
mirage13–7-0.0614%18 Apr →
ancient16–130.0223%15 Apr →
anubis9–13-0.0324%10 Apr →
mirage5–13-0.0914%7 Apr →
ancient16–140.0125%7 Apr →
mirage13–6-0.0228%5 Apr →
ancient8–130.0133%1 Apr →
ancient13–70.0720%10 Mar →
nuke5–12-0.1242%9 Mar →
overpass13–7-0.0125%9 Mar →
ancient6–13-0.1026%9 Mar →
anubis5–13-0.0738%9 Mar →
overpass13–90.0117%8 Mar →
mirage9–13-0.066%8 Mar →
mirage12–160.0229%7 Mar →
anubis13–60.0411%7 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.