Who racist?

Who racist? — CS2 Stats

EE76561199033466651[U:1:1073200923]Steam profile ↗✓ No bans

293Tracked matches63%Win rate2020Tracked since
987Hours in CS14Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
Premier CS Rating4,549Grey band · top ~80.7% of ranked players (population est.)
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Nov 2026 (8 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: 4,549 +3,163 16 Jun – 7 Nov · 25 days played
1,3865,000peak 5,00016 Jun7 Nov
5,108Peak Premier in tracked matches
43Days played since 2026-06-16

Premier CS Rating

  • 451 below peak (5,000)
  • +175 over 30 days · steady
  • +1,196 over 90 days
  • Next: Light Blue band at 5,000 — 451 to go
  • Reached: 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 Level 9 among CSDB-tracked players (n=15,553), 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 9 medianLevel 10 medianvs Level 10
Headshot rate62.6%48.2%50.9%above
Shot accuracy10.9%13.2%13.7%2.8% short
Kill/death ratio1.271.071.09above
Match win rate42.6%46.9%48.4%5.9% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWho racist?FACEITLevel 9STANDINGTop 20.7% of rankedPREMIER4,549 · Grey bandcsdb.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

Aim80
Positioning76
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY61–39Last 10061%Win rateWLWLLLWWWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −4.6pp headshot accuracy · −48ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.10
  • Avg headshot accuracy 27%
  • Avg reaction 542ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 33%
  • Avg reaction 561ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 35%
  • Avg reaction 585ms

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).

Aim8.0
Utility5.0
Positioning7.6
Opening Duels6.3
Clutch5.4

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

jL

Plays most like jL 91% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 583ms 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

Aim8.0
Positioning7.6
Utility5.0
Mechanics6.4
Opening Duels8.6
Win Impact9.4

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.08+0.01
first ⅓ avg 0.06 → last ⅓ avg 0.08
Reaction time579ms−64ms
first ⅓ avg 643ms → last ⅓ avg 579ms
Headshot accuracy31.5%−3.7%
first ⅓ avg 35.2% → last ⅓ avg 31.5%

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

0.25Best match rating · 5–13 · anubis, 20 Aug →
75%Best headshot accuracy · 13–8 · mirage, 16 Jun →
375msFastest reaction time · 13–4 · mirage, 16 Sept →
13–0Biggest win · dust2, 9 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
10–10In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 91% over 11dust2Weakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
mirageA2414–1058%0.04
nukeA1912–763%0.06
dust2C167–944%0.04
cacheA116–555%0.08
infernoS118–373%0.07
ancientS1110–191%0.09
anubisB84–450%0.12

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,845Lifetime kills
1.27K/D · Top 25% of Level 9 players
1,236Matches
42.6%Match win rate
62.6%Headshot % · Top 10% of Level 9 players
10.9%Shot accuracy
3,489MVPs
499Hours (in match)
1,008Bombs planted
406Bombs defused

Most-used weapons

AK-4710,444
AWP2,129
Knife503
MP9415

Lifetime map wins

1,413nuke
1,349inferno
1,151dust2
278vertigo
248office
137train
79cbble
9italy

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

Faceit stats

Combat

100Matches
72%Win rate
1.63Avg K/D
103.9ADR
61%Headshot %

Clutches & streaks

47%1v1 clutch win
25%1v2 clutch win
16Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3281%1.4821.0
Ancient1883%1.7020.9
Anubis1464%1.8518.7
Cache1127%1.4025.4
Dust21173%1.6121.6
Nuke1080%1.6023.7
Inferno367%3.0622.3

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.

31.9%Headshot accuracy
35.6%Accuracy (enemy spotted)
36.5%Spray accuracy
78.6%Counter-strafing
11.9°Preaim
583msReaction time
69.3%T opening success
59.4%CT opening success
0.44Enemies flashed / flash
5.1%Flash assists
10.20HE damage / grenade
13.76Flashes / 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. 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 0.4406 — below the 0.5 mark we flag

    Grenade Lineups →
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.

44% win rate across 16 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
mirage13–90.0531%13 Nov →
cache14–160.0316%11 Nov →
nuke13–100.2034%7 Nov →
anubis5–130.1531%6 Nov →
anubis12–130.0722%1 Nov →
cache5–130.0133%28 Oct →
mirage13–11-0.0140%28 Oct →
nuke13–50.1725%27 Oct →
inferno13–11-0.0345%21 Oct →
nuke13–160.0847%21 Oct →
ancient13–60.2040%20 Oct →
mirage10–130.0741%16 Oct →
ancient14–160.0334%16 Oct →
cache13–100.0727%15 Oct →
mirage9–130.0238%14 Oct →
ancient13–40.1331%14 Oct →
ancient13–110.1735%14 Oct →
mirage4–130.0443%9 Oct →
dust213–00.2037%9 Oct →
nuke13–20.0145%9 Oct →
inferno13–60.2042%8 Oct →
dust213–30.0938%2 Oct →
nuke13–70.1031%2 Oct →
dust20–130.0220%30 Sept →
anubis13–90.0524%24 Sept →
mirage13–80.1619%24 Sept →
nuke13–110.1330%24 Sept →
ancient13–10-0.0416%24 Sept →
ancient13–50.0430%24 Sept →
cache11–130.0116%24 Sept →
dust211–130.0223%23 Sept →
cache25–230.0431%23 Sept →
ancient13–100.0222%23 Sept →
anubis13–20.1532%23 Sept →
mirage11–13-0.0031%23 Sept →
dust26–3-0.0133%23 Sept →
cache13–160.1331%22 Sept →
mirage13–100.1138%22 Sept →
nuke11–130.0131%22 Sept →
nuke13–50.0730%21 Sept →
mirage13–110.0544%21 Sept →
dust210–13-0.0035%18 Sept →
mirage6–13-0.0333%17 Sept →
inferno0–9-0.250%17 Sept →
anubis11–130.1023%16 Sept →
mirage8–13-0.0129%16 Sept →
ancient13–110.0723%16 Sept →
mirage13–40.0434%16 Sept →
mirage13–100.0623%14 Sept →
ancient13–50.1629%14 Sept →
mirage13–70.0333%14 Sept →
nuke5–130.0219%13 Sept →
nuke13–40.0132%12 Sept →
cache13–40.0925%12 Sept →
anubis13–60.0929%11 Sept →
nuke19–170.0622%11 Sept →
cache6–130.0526%11 Sept →
mirage13–30.0642%10 Sept →
dust21–13-0.1120%10 Sept →
nuke16–140.1127%10 Sept →
anubis13–50.1231%10 Sept →
dust213–80.0429%9 Sept →
nuke13–10.1219%9 Sept →
dust213–10.1836%9 Sept →
nuke1–80.0633%9 Sept →
mirage12–30.1535%9 Sept →
inferno13–30.1631%9 Sept →
nuke9–130.0528%9 Sept →
mirage2–130.0127%9 Sept →
dust20–6-0.060%9 Sept →
mirage13–80.0334%8 Sept →
inferno13–30.1632%1 Sept →
mirage4–130.1327%1 Sept →
ancient13–20.1854%30 Aug →
dust212–140.0354%30 Aug →
inferno13–10.1445%21 Aug →
dust213–100.0132%20 Aug →
nuke3–13-0.0833%20 Aug →
mirage12–16-0.0332%20 Aug →
inferno13–40.1038%20 Aug →
cache13–30.1642%20 Aug →
dust24–130.0851%20 Aug →
anubis5–130.2538%20 Aug →
dust213–80.1145%18 Aug →
inferno4–13-0.0512%14 Aug →
mirage1–13-0.0233%14 Aug →
dust211–12-0.0016%13 Aug →
inferno10–130.1323%13 Aug →
nuke13–90.0537%13 Aug →
cache13–70.1045%6 Aug →
inferno9–60.0738%6 Aug →
nuke13–80.0435%30 Jul →
inferno13–100.1443%27 Jul →
mirage13–20.1026%27 Jul →
dust213–30.0839%24 Jul →
cache13–70.1331%24 Jul →
nuke0–13-0.060%24 Jul →
mirage13–40.1329%26 Jun →
ancient13–11-0.0067%16 Jun →
mirage13–8-0.0675%16 Jun →

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 →

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