白い幽霊

白い幽霊 — CS2 Stats

76561198091530363[U:1:131264635]Steam profile ↗✓ No bans

2,367Tracked matches34%Win rate2020Tracked since
CSDB Rating5.6 SolidPositional Player
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (30 days ago). Ranks are recorded once per day this page is viewed.

+45Tracked matches · now 2,367
−21.1ppWin rate · 55.6% → 34.5%

Rating over time

25Days played since 2026-08-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GG白い幽霊FACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning65
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateLWLWWLLLWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +7.8pp headshot accuracy · +83ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 497ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 520ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 478ms

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 (+1.9 against its own average).

Aim7.5
Utility4.2
Positioning6.5
Opening Duels4.1
Clutch3.6

Strong CT-side openerLimited utility dependence

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

donk

Plays most like donk 96% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.5
Positioning6.5
Utility4.2
Mechanics5.3
Opening Duels6.3
Win Impact0.0

Composite 5.6/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time507ms−54ms
first ⅓ avg 561ms → last ⅓ avg 507ms
Headshot accuracy16.8%−1.4%
first ⅓ avg 18.2% → last ⅓ avg 16.8%

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

0.32Best match rating · 9–2 · inferno, 1 Aug →
36%Best headshot accuracy · 13–4 · dust2, 10 Aug →
328msFastest reaction time · 0–9 · dust2, 12 Sept →
13–2Biggest win · dust2, 9 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–7In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 50% over 6dust2Weakest map · 44% over 89
MapGradePlayedRecordWin rateAvg rating
dust2C8939–5044%0.01
infernoB63–350%-0.00
vertigo—22–0100%-0.01
ancient—10–10%-0.01
cache—11–0100%0.01
nuke—11–0100%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 89). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

551Matches
52%Win rate
1.02Avg K/D
87.2ADR
41%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust211559%1.1517.6
Vertigo10354%1.0015.5
Inferno8651%0.9115.0
Ancient8352%1.0416.2
Mirage5941%0.9414.4
Anubis5853%0.9815.9
Nuke2060%1.2216.9
Cache757%1.5313.1

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.

17.2%Headshot accuracy
36.3%Accuracy (enemy spotted)
37.3%Spray accuracy
73.9%Counter-strafing
8.8°Preaim
518msReaction time
55.1%T opening success
55.2%CT opening success
0.59Enemies flashed / flash
4.4%Flash assists
6.73HE damage / grenade
4.71Flashes / match

Recommended for you

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 89 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
dust24–13-0.0816%11 Oct →
dust213–70.0416%11 Oct →
dust22–13-0.0429%11 Oct →
dust213–110.1313%10 Oct →
dust213–50.1613%10 Oct →
dust27–130.0221%10 Oct →
dust29–130.0519%10 Oct →
dust23–13-0.0617%10 Oct →
dust213–30.0331%10 Oct →
dust26–130.0322%10 Oct →
dust27–13-0.0412%10 Oct →
dust27–13-0.0618%9 Oct →
dust213–20.089%9 Oct →
dust20–2-0.080%3 Oct →
dust24–130.0110%3 Oct →
dust210–13-0.0422%3 Oct →
dust26–130.0325%3 Oct →
dust213–90.033%2 Oct →
ancient11–13-0.0111%2 Oct →
dust213–90.057%2 Oct →
dust213–30.0235%2 Oct →
dust25–13-0.065%24 Sept →
dust28–13-0.0710%24 Sept →
dust210–13-0.0721%24 Sept →
dust26–13-0.0416%24 Sept →
dust211–13-0.0317%24 Sept →
dust213–50.1320%22 Sept →
dust26–13-0.0517%20 Sept →
dust213–50.0018%20 Sept →
dust212–120.0433%20 Sept →
dust213–5-0.0119%20 Sept →
dust213–50.1214%20 Sept →
dust213–70.0315%19 Sept →
dust213–8-0.0217%19 Sept →
dust212–12-0.0121%19 Sept →
dust26–130.0119%19 Sept →
dust27–130.038%19 Sept →
dust213–9-0.0413%19 Sept →
dust212–120.0013%19 Sept →
dust213–100.0214%19 Sept →
dust27–130.0424%19 Sept →
dust211–130.0212%19 Sept →
dust211–130.0214%13 Sept →
dust210–130.0220%13 Sept →
dust213–90.0612%13 Sept →
dust24–13-0.1213%12 Sept →
dust212–120.0310%12 Sept →
dust213–90.0419%12 Sept →
dust20–9-0.100%12 Sept →
dust213–60.039%12 Sept →
dust213–70.0527%12 Sept →
dust213–70.0724%12 Sept →
dust213–110.0123%11 Sept →
dust24–13-0.0424%11 Sept →
dust213–60.1231%11 Sept →
dust213–110.0221%11 Sept →
dust28–130.0120%11 Sept →
dust213–60.0320%11 Sept →
dust213–80.0418%4 Sept →
dust213–90.0115%3 Sept →
dust213–90.0716%2 Sept →
dust211–13-0.0310%2 Sept →
dust213–50.0113%30 Aug →
dust212–120.0621%30 Aug →
dust27–13-0.0614%30 Aug →
dust212–120.0117%30 Aug →
dust213–8-0.0023%30 Aug →
dust210–130.0411%30 Aug →
dust210–13-0.0421%28 Aug →
dust26–130.0323%28 Aug →
dust213–11-0.0117%28 Aug →
dust29–13-0.0217%28 Aug →
dust213–60.0712%28 Aug →
dust24–130.0233%28 Aug →
dust213–20.2011%28 Aug →
dust211–130.0411%26 Aug →
vertigo13–60.0120%26 Aug →
cache13–60.017%25 Aug →
dust213–80.0218%25 Aug →
dust213–11-0.0213%16 Aug →
vertigo13–6-0.0412%15 Aug →
inferno13–11-0.0114%15 Aug →
dust28–13-0.0018%10 Aug →
dust27–13-0.0324%10 Aug →
dust213–80.1228%10 Aug →
dust213–40.1036%10 Aug →
dust25–13-0.0717%9 Aug →
dust24–13-0.0226%9 Aug →
dust26–13-0.0319%9 Aug →
dust213–70.0713%9 Aug →
dust213–100.1024%9 Aug →
nuke9–60.0610%9 Aug →
dust26–130.0122%9 Aug →
dust23–130.0424%8 Aug →
dust210–130.0113%8 Aug →
inferno3–90.0125%1 Aug →
inferno6–9-0.0612%1 Aug →
inferno1–9-0.2220%1 Aug →
inferno9–6-0.0512%1 Aug →
inferno9–20.3218%1 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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