whitey :)

whitey :) — CS2 Stats

DE76561198003331273[U:1:43065545]Steam profile ↗✓ No bans

1,240Tracked matches41%Win rate2024Tracked since
2,852Hours in CS17Hrs last 2 wks
CSDB Rating5.5 SolidSupport
CSDB Leaderboard#32065 of 258955 tracked
FaceitLevel 9 · 2,034 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,029 +963 1 Jul – 6 Jul · 2 days played
23,06624,029peak 24,0291 Jul6 Jul
24,029Peak Premier in tracked matches
2,034Highest Faceit ELO seen on CSDB
26Days played since 2026-06-11

Faceit ELO

  • At peak — 2,034
  • Next: 2,500 ELO at 2,500 — 466 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

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
Matches3444−10
Win rate32%50%−18pp
K/D0.951.04−0.09
Headshot %49%52%−3pp

Measured 3 Oct 2026 → 31 Oct 2026; previous 5 Sep 2026 → 3 Oct 2026.

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 9 among CSDB-tracked players (n=15,132), 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 rate45.1%48.2%50.9%5.9% short
Shot accuracy11.6%13.2%13.7%2.1% short
Kill/death ratio1.051.071.090.04 short
Match win rate49.7%46.9%48.4%above

This profile matches the typical Level 10 player on 1 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.GGwhitey :)FACEITLevel 9 · 2,034 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,034csdb.gg/stats

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Performance scores

Aim67
Positioning50
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateLWLLWLWLWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +2.7pp headshot accuracy · −39ms reaction

Win rate up 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 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 561ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 563ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 582ms

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 (+3.2 against its own average).

Aim6.7
Utility7.2
Positioning5.0
Opening Duels1.3
Clutch2.6

Strong CT-side opener

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

iM

Plays most like iM 74% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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. 557ms 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

Aim6.7
Positioning5.0
Utility7.2
Mechanics6.6
Opening Duels2.3
Win Impact2.1

Composite 5.5/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time578ms−20ms
first ⅓ avg 598ms → last ⅓ avg 578ms
Headshot accuracy19.0%−3.3%
first ⅓ avg 22.3% → last ⅓ avg 19.0%

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

0.23Best match rating · 13–6 · inferno, 5 Jul →
40%Best headshot accuracy · 13–2 · dust2, 6 Jul →
422msFastest reaction time · 13–6 · inferno, 25 Sept →
13–1Biggest win · dust2, 22 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 75% over 8anubisWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B3315–1845%0.01
infernoB209–1145%0.04
cacheB158–753%0.04
mirageS96–367%0.03
anubisD82–625%-0.00
ancientS86–275%0.02
nukeC52–340%-0.00
overpass—20–20%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,955Lifetime kills
1.05K/D
3,228Matches
49.7%Match win rate · Top 25% of Level 9 players
45.1%Headshot %
11.6%Shot accuracy
7,523MVPs
1,769Hours (in match)
6,068Bombs planted
1,101Bombs defused

Most-used weapons

AK-4720,459
AWP2,403
P2502,329
MAC-101,742
MP91,706

Lifetime map wins

8,083dust2
7,666inferno
2,035nuke
905train
808cbble
180vertigo
43italy
23safehouse

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

Faceit stats

Combat

814Matches
53%Win rate
1.03Avg K/D
74.9ADR
47%Headshot %

Clutches & streaks

33%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno10557%1.0014.1
Dust28850%0.9714.7
Ancient7254%1.0315.4
Nuke5161%1.0013.7
Mirage5040%1.0014.7
Anubis4245%1.0815.9
Overpass2458%0.8814.6
Train838%0.9415.4

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.

19.7%Headshot accuracy
31.9%Accuracy (enemy spotted)
33.9%Spray accuracy
79.9%Counter-strafing
10.4°Preaim
557msReaction time
34.4%T opening success
44.0%CT opening success
0.60Enemies flashed / flash
6.4%Flash assists
11.36HE damage / grenade
15.38Flashes / 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 34.3587% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–16-0.0525%28 Oct →
cache13–50.0817%28 Oct →
dust211–130.0314%28 Oct →
dust25–130.0220%28 Oct →
anubis13–90.1016%27 Oct →
inferno11–13-0.0722%27 Oct →
cache13–100.0823%27 Oct →
nuke8–130.0123%27 Oct →
cache13–60.0325%27 Oct →
dust25–130.0427%12 Oct →
mirage0–6-0.050%12 Oct →
ancient13–11-0.0119%12 Oct →
cache8–13-0.0119%12 Oct →
dust212–12-0.0119%12 Oct →
dust23–130.0128%12 Oct →
inferno13–80.0621%12 Oct →
inferno4–13-0.0221%11 Oct →
anubis9–130.0226%11 Oct →
cache8–13-0.0015%11 Oct →
ancient11–13-0.0415%29 Sept →
anubis12–16-0.0320%29 Sept →
nuke13–110.0131%29 Sept →
anubis5–13-0.1021%29 Sept →
dust213–80.0513%29 Sept →
dust213–10-0.025%29 Sept →
inferno7–130.0824%28 Sept →
mirage13–50.2126%28 Sept →
dust213–11-0.0615%28 Sept →
inferno10–130.0716%28 Sept →
cache13–10-0.0115%28 Sept →
inferno13–60.0718%28 Sept →
dust212–120.0120%28 Sept →
inferno2–8-0.036%28 Sept →
dust213–10-0.0416%27 Sept →
nuke5–13-0.0316%26 Sept →
cache16–120.0313%26 Sept →
mirage13–11-0.0124%26 Sept →
nuke7–13-0.0626%26 Sept →
inferno13–5-0.0213%26 Sept →
cache10–130.0926%25 Sept →
dust213–30.0828%25 Sept →
inferno13–6-0.0117%25 Sept →
mirage13–70.0518%25 Sept →
inferno13–80.0322%23 Sept →
dust21–130.0235%23 Sept →
dust25–13-0.0716%22 Sept →
dust28–13-0.0932%22 Sept →
cache6–130.0620%22 Sept →
anubis13–30.1217%22 Sept →
dust213–10.2032%22 Sept →
dust212–12-0.0424%13 Sept →
inferno6–130.0827%10 Sept →
ancient13–110.0434%10 Sept →
dust210–13-0.0621%10 Sept →
anubis11–130.0220%10 Sept →
cache13–10-0.0626%9 Sept →
inferno11–13-0.0321%16 Jul →
cache4–90.0422%8 Jul →
mirage13–90.1129%8 Jul →
dust211–130.0133%8 Jul →
dust213–110.0528%7 Jul →
dust213–20.0440%6 Jul →
ancient13–50.1020%6 Jul →
inferno13–40.0625%6 Jul →
anubis1–13-0.0933%6 Jul →
ancient13–20.0931%6 Jul →
inferno12–120.0116%6 Jul →
inferno3–100.0730%6 Jul →
mirage13–80.0217%5 Jul →
inferno13–60.2324%5 Jul →
dust213–11-0.0324%5 Jul →
dust213–90.0920%5 Jul →
mirage2–13-0.0214%5 Jul →
dust25–13-0.0110%5 Jul →
nuke13–110.0419%4 Jul →
inferno13–40.1319%4 Jul →
inferno11–130.0733%4 Jul →
dust213–30.0920%4 Jul →
dust213–5-0.0310%4 Jul →
ancient13–7-0.0423%1 Jul →
inferno13–10.0126%1 Jul →
ancient4–130.0325%1 Jul →
cache9–130.0418%1 Jul →
dust29–13-0.0721%1 Jul →
mirage13–3-0.0124%30 Jun →
overpass12–120.0723%30 Jun →
dust213–60.0324%30 Jun →
overpass4–130.0126%30 Jun →
cache13–110.0622%30 Jun →
dust210–130.0434%30 Jun →
cache10–13-0.0021%24 Jun →
dust213–110.0119%24 Jun →
dust26–130.0127%24 Jun →
dust29–13-0.0237%18 Jun →
inferno3–13-0.0610%18 Jun →
dust213–30.1337%17 Jun →
cache13–30.1321%17 Jun →
mirage10–13-0.0019%17 Jun →
ancient11–00.0019%17 Jun →
dust29–130.0319%11 Jun →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 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.