White_Shadow

White_Shadow — CS2 Stats

BD76561198295529191[U:1:335263463]Steam profile ↗✓ No bans

1,199Tracked matches66%Win rate2020Tracked since
3,382Hours in CS
CSDB Rating7.0 StrongPositional Player
Premier CS Rating17,750Purple band · top ~17.5% of ranked players (population est.)
FaceitLevel 6 · 1,245 ELOTop 54.0% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (11 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: 17,750 -1,897 6 May – 3 Nov · 16 days played
15,88819,679peak 19,6796 May3 Nov
19,679Peak Premier in tracked matches
1,245Highest Faceit ELO seen on CSDB
53Days played since 2026-05-05

Faceit ELO

  • At peak — 1,245
  • Next: Level 7 at 1,351 — 106 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 1,929 below peak (19,679)
  • +1,184 over 30 days · improving
  • Next: Pink band at 20,000 — 2,250 to go
  • Reached: Purple band · Blue band · 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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate29.1%44.8%45.7%16.5% short
Shot accuracy13.8%12.4%12.7%above
Kill/death ratio0.941.031.050.11 short
Match win rate41.2%45.2%45.7%4.5% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWhite_ShadowFACEITLevel 6 · 1,245 ELOSTANDINGTop 54.0% of rankedPREMIER17,750 · Purple bandPEAK ELO1,245csdb.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

Aim67
Positioning82
Utility64

0–100 skill scores via Leetify.

Recent form

HOT52–45–3Last 10052%Win rateWWLWLWWWWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −3.4pp headshot accuracy · −88ms reaction

Win rate up 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 486ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 463ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 507ms

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 (+2.2 against its own average).

Aim6.7
Utility6.4
Positioning8.2
Opening Duels6.2
Clutch3.0

Strong positioning

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 80% 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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
Positioning8.2
Utility6.4
Mechanics3.6
Opening Duels8.5
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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time508ms−99ms
first ⅓ avg 606ms → last ⅓ avg 508ms
Headshot accuracy17.2%+0.1%
first ⅓ avg 17.1% → last ⅓ avg 17.2%

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

0.16Best match rating · 13–5 · cache, 24 Sept →
44%Best headshot accuracy · 11–13 · dust2, 21 Oct →
375msFastest reaction time · 16–14 · mirage, 4 Nov →
13–2Biggest win · mirage, 23 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
11–11In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 78% over 9anubisWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C3113–1842%0.02
mirageS2416–867%0.02
infernoA1710–759%0.02
anubisD103–730%0.03
cacheS97–278%0.02
ancientC52–340%-0.00
nuke—41–325%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

149,060Lifetime kills
0.94K/D
8,442Matches
41.2%Match win rate
29.1%Headshot %
13.8%Shot accuracy · Top 50% of Level 6 players
21,569MVPs
3,382Hours (in match)
9,470Bombs planted
1,736Bombs defused

Most-used weapons

AWP69,640
AK-4717,630
P25017,392
FAMAS3,735
MP73,268

Lifetime map wins

26,931dust2
20,243inferno
6,511nuke
817vertigo
557train
277office
112cbble
85lake

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

Faceit stats

Combat

462Matches
51%Win rate
1.13Avg K/D
86.7ADR
31%Headshot %

Clutches & streaks

35%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust28158%1.2318.5
Mirage7258%1.1218.0
Inferno5848%1.1416.9
Anubis1724%1.0317.8
Cache1267%1.0515.8
Ancient944%1.1819.1
Nuke944%1.0619.4
Overpass333%1.3818.0

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.

17.6%Headshot accuracy
35.6%Accuracy (enemy spotted)
34.2%Spray accuracy
66.2%Counter-strafing
9.6°Preaim
507msReaction time
66.8%T opening success
61.2%CT opening success
0.67Enemies flashed / flash
11.2%Flash assists
12.23HE damage / grenade
15.37Flashes / match

Recommended for you

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–11-0.0211%7 Nov →
mirage13–100.0522%7 Nov →
anubis11–13-0.0118%6 Nov →
mirage13–7-0.0226%6 Nov →
anubis10–130.0410%5 Nov →
dust219–170.0317%4 Nov →
mirage16–14-0.009%4 Nov →
inferno13–100.0615%4 Nov →
inferno13–40.1020%3 Nov →
dust213–30.0518%3 Nov →
cache16–130.0616%1 Nov →
mirage13–110.0726%30 Oct →
dust27–130.0617%30 Oct →
inferno13–50.1015%29 Oct →
ancient5–130.009%29 Oct →
nuke10–130.1020%29 Oct →
cache13–11-0.0012%29 Oct →
inferno13–9-0.0023%27 Oct →
mirage22–19-0.0217%21 Oct →
dust211–13-0.0244%21 Oct →
nuke11–130.0517%20 Oct →
dust213–110.0231%19 Oct →
inferno9–130.0215%19 Oct →
mirage15–15-0.0122%18 Oct →
ancient3–13-0.074%18 Oct →
mirage3–130.0213%15 Oct →
anubis13–50.0211%15 Oct →
dust216–130.0214%14 Oct →
ancient13–90.017%14 Oct →
mirage13–40.0327%14 Oct →
cache13–80.0120%14 Oct →
anubis10–130.026%14 Oct →
dust25–13-0.0216%13 Oct →
mirage13–10-0.0121%13 Oct →
anubis6–13-0.0424%13 Oct →
ancient13–70.0215%13 Oct →
dust24–130.020%13 Oct →
mirage19–150.0319%12 Oct →
dust214–16-0.0121%12 Oct →
dust29–130.0322%11 Oct →
mirage16–190.0213%11 Oct →
inferno13–60.048%11 Oct →
dust213–8-0.0319%10 Oct →
inferno5–13-0.068%10 Oct →
anubis12–160.0419%9 Oct →
anubis13–100.0514%6 Oct →
ancient11–130.0215%6 Oct →
anubis13–80.0629%5 Oct →
mirage13–40.0921%5 Oct →
nuke10–130.0220%4 Oct →
dust213–80.0139%4 Oct →
inferno13–11-0.0120%3 Oct →
inferno3–13-0.0115%2 Oct →
dust211–130.0011%2 Oct →
mirage13–8-0.0613%2 Oct →
anubis9–130.049%30 Sept →
dust211–130.0619%30 Sept →
mirage9–13-0.0218%30 Sept →
mirage16–19-0.0115%29 Sept →
cache13–110.0018%28 Sept →
mirage13–80.0017%26 Sept →
cache13–80.0118%26 Sept →
dust210–130.0520%25 Sept →
cache13–50.1611%24 Sept →
mirage13–9-0.0228%24 Sept →
dust211–130.0524%24 Sept →
nuke13–80.008%23 Sept →
mirage13–20.1011%23 Sept →
dust213–110.0521%23 Sept →
dust213–80.0711%19 Sept →
dust29–130.0517%9 Sept →
inferno13–9-0.0214%9 Sept →
inferno6–130.0315%12 Aug →
dust213–40.0133%11 Aug →
inferno11–130.0616%9 Aug →
mirage7–130.0627%5 Aug →
dust26–13-0.0227%5 Aug →
dust214–160.0411%30 Jul →
mirage16–130.0727%30 Jul →
mirage4–130.069%27 Jul →
dust213–40.1336%25 Jul →
inferno13–5-0.0019%23 Jul →
dust210–13-0.0513%23 Jul →
mirage13–40.0716%23 Jul →
dust213–50.0823%16 Jul →
cache15–150.0416%16 Jul →
anubis5–130.0410%13 Jul →
dust213–60.0319%13 Jul →
mirage10–130.1216%4 Jul →
cache1–13-0.0710%4 Jul →
inferno10–13-0.0414%25 Jun →
dust213–4-0.0516%18 Jun →
dust211–13-0.0420%20 May →
dust24–13-0.0117%20 May →
mirage13–11-0.0421%16 May →
dust21–13-0.0215%15 May →
inferno8–80.089%11 May →
inferno9–7-0.002%11 May →
inferno13–10-0.0228%6 May →
dust210–13-0.009%5 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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