ム wh1ter0se

ム wh1ter0se — CS2 Stats

76561198030825968[U:1:70560240]Steam profile ↗✓ No bans

1,377Tracked matches47%Win rate2020Tracked since
2,623Hours in CS13Hrs last 2 wks
CSDB Rating6.6 SolidSupport
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (49 days ago). Ranks are recorded once per day this page is viewed.

+34Tracked matches · now 1,377
−10.0ppWin rate · 56.7% → 46.7%

Rating over time

Premier CS Rating: 20,590 -2,232 15 May – 23 Jun · 12 days played
20,59023,606peak 23,60615 May23 Jun
23,979Peak Premier in tracked matches
50Days played since 2026-05-15

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
Matches3325+8
Win rate48%52%−4pp
K/D0.890.93−0.04
Headshot %57%59%−2pp

Measured 23 Sep 2026 → 26 Oct 2026; previous 28 Aug 2026 → 23 Sep 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 rate56.1%48.2%50.9%above
Shot accuracy14.6%13.2%13.7%above
Kill/death ratio1.071.071.09meets
Match win rate45.8%46.9%48.4%2.6% short

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGム wh1ter0seFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.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

Aim87
Positioning57
Utility67

0–100 skill scores via Leetify.

Recent form

COLD48–52Last 10048%Win rateLLLWLLWLLW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −7.2pp headshot accuracy · −15ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 21%
  • Avg reaction 510ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 525ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 533ms

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 (+1.7 against its own average).

Aim8.7
Utility6.7
Positioning5.7
Opening Duels4.0
Clutch3.6

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

ZywOo

Plays most like ZywOo 94% playstyle similarity

Most alike: opening-duel success, 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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 31 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

Aim8.7
Positioning5.7
Utility6.7
Mechanics7.2
Opening Duels3.5
Win Impact3.9

Composite 6.6/10 (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 rating-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time557ms−37ms
first ⅓ avg 594ms → last ⅓ avg 557ms
Headshot accuracy25.1%−0.1%
first ⅓ avg 25.2% → last ⅓ avg 25.1%

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

0.12Best match rating · 13–5 · ancient, 6 Sept →
48%Best headshot accuracy · 13–5 · ancient, 6 Sept →
344msFastest reaction time · 0–13 · inferno, 12 Jul →
13–2Biggest win · dust2, 5 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
5–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 67% over 21mirageWeakest map · 38% over 26
MapGradePlayedRecordWin rateAvg rating
mirageC2610–1638%-0.02
infernoS2114–767%-0.00
dust2B189–950%-0.01
ancientB189–950%0.01
cacheB136–746%-0.02
nuke—30–30%0.00
anubis—10–10%-0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 26). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,453Lifetime kills
1.07K/D
3,695Matches
45.8%Match win rate
56.1%Headshot % · Top 25% of Level 9 players
14.6%Shot accuracy · Top 50% of Level 9 players
9,455MVPs
78,071Hours (in match)
4,145Bombs planted
913Bombs defused

Most-used weapons

AK-4730,527
AWP4,746
FAMAS1,879
P2501,653
Knife1,204

Lifetime map wins

9,065inferno
4,635dust2
1,860train
1,749cbble
1,679nuke
635vertigo
116aztec
109office

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

Faceit stats

Combat

699Matches
52%Win rate
1.03Avg K/D
77.7ADR
59%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4058%0.9314.9
Inferno3459%0.9616.4
Ancient3244%0.9815.4
Dust22544%0.9815.5
Cache1533%0.9215.5
Anubis1060%1.0213.9
Vertigo967%1.0314.2
Train771%0.8816.4

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.

24.0%Headshot accuracy
35.5%Accuracy (enemy spotted)
43.3%Spray accuracy
82.2%Counter-strafing
8.7°Preaim
539msReaction time
41.4%T opening success
46.6%CT opening success
0.71Enemies flashed / flash
9.1%Flash assists
13.09HE damage / grenade
9.18Flashes / match

Recommended for you

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.

38% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0521%23 Oct →
dust25–13-0.0916%16 Oct →
cache11–13-0.0518%10 Oct →
mirage16–13-0.0118%3 Oct →
dust211–13-0.0630%3 Oct →
dust24–13-0.0117%2 Oct →
mirage13–60.0517%2 Oct →
cache11–13-0.0522%17 Sept →
ancient7–130.0129%13 Sept →
dust213–10-0.0329%12 Sept →
mirage7–13-0.0535%12 Sept →
inferno17–19-0.0226%10 Sept →
mirage13–50.0026%10 Sept →
ancient13–50.1248%6 Sept →
dust29–13-0.0133%6 Sept →
ancient13–90.0224%5 Sept →
inferno13–9-0.0124%5 Sept →
mirage8–130.0223%5 Sept →
cache6–13-0.0217%5 Sept →
ancient9–13-0.0332%4 Sept →
inferno13–11-0.0325%4 Sept →
mirage6–130.0020%4 Sept →
inferno13–100.0123%4 Sept →
ancient13–100.0319%3 Sept →
inferno13–7-0.0222%2 Sept →
inferno13–11-0.0214%31 Aug →
dust216–130.0121%29 Aug →
cache7–13-0.0322%29 Aug →
mirage9–13-0.0425%29 Aug →
dust213–90.0529%27 Aug →
ancient10–13-0.0423%27 Aug →
dust213–80.0147%14 Aug →
cache13–70.0535%14 Aug →
mirage19–22-0.0036%14 Aug →
inferno16–130.0430%8 Aug →
inferno16–140.0424%7 Aug →
dust26–13-0.0827%7 Aug →
mirage13–10-0.0315%3 Aug →
ancient10–13-0.0416%1 Aug →
cache13–4-0.0443%1 Aug →
mirage10–13-0.0523%29 Jul →
ancient13–50.0526%27 Jul →
mirage13–6-0.0614%27 Jul →
inferno13–9-0.0113%26 Jul →
inferno9–130.0224%24 Jul →
ancient11–13-0.0319%24 Jul →
cache13–100.0528%23 Jul →
inferno13–5-0.0526%23 Jul →
mirage13–11-0.0224%21 Jul →
cache13–9-0.0219%21 Jul →
inferno10–130.0238%18 Jul →
cache10–13-0.0523%18 Jul →
ancient13–80.0226%16 Jul →
ancient9–13-0.0131%14 Jul →
mirage13–5-0.0130%14 Jul →
cache0–3-0.110%14 Jul →
dust213–40.0122%13 Jul →
inferno13–100.0034%13 Jul →
cache13–50.1026%13 Jul →
inferno0–13-0.0810%12 Jul →
mirage9–13-0.0620%12 Jul →
cache6–13-0.0327%10 Jul →
ancient13–100.0112%10 Jul →
inferno13–50.0638%10 Jul →
mirage5–13-0.1318%10 Jul →
mirage13–4-0.0123%9 Jul →
cache13–9-0.0130%9 Jul →
ancient13–8-0.0134%8 Jul →
dust210–13-0.0325%8 Jul →
ancient13–70.0241%23 Jun →
mirage7–130.0527%6 Jun →
mirage0–9-0.0120%6 Jun →
nuke9–130.0525%5 Jun →
dust213–20.0335%5 Jun →
ancient13–160.0040%4 Jun →
nuke10–13-0.0626%4 Jun →
mirage10–13-0.0326%1 Jun →
mirage13–16-0.0822%29 May →
inferno7–130.0533%29 May →
ancient10–130.0529%27 May →
mirage5–13-0.0919%27 May →
anubis7–13-0.108%26 May →
dust27–130.0014%26 May →
inferno13–100.0222%26 May →
mirage3–13-0.0237%23 May →
ancient13–80.0141%23 May →
dust213–40.0531%23 May →
ancient2–13-0.0321%23 May →
inferno13–9-0.0113%22 May →
mirage13–30.0419%22 May →
dust213–7-0.0017%22 May →
dust26–13-0.0125%19 May →
mirage4–13-0.0419%19 May →
mirage8–130.0233%18 May →
dust211–130.0529%18 May →
inferno16–14-0.0219%16 May →
dust213–60.0025%16 May →
inferno11–130.0225%16 May →
mirage13–5-0.0514%15 May →
nuke10–130.0114%15 May →

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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