Shady

Shady — CS2 Stats

76561198015911388[U:1:55645660]Steam profile ↗✓ No bans

513Tracked matches48%Win rate2020Tracked since
3,029Hours in CS7Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating25,529Top 10% of 205,416 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#16350 of 252624 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (5 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: 25,529 +2,803 3 Aug – 12 Oct · 31 days played
22,65826,193peak 26,1933 Aug12 Oct
26,193Peak Premier in tracked matches
41Days played since 2026-07-10

Premier CS Rating

  • 664 below peak (26,193)
  • +1,494 over 30 days · improving
  • Next: Gold band at 30,000 — 4,471 to go
  • Reached: Red band · Pink band · Purple band · 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 8 among CSDB-tracked players (n=15,126), 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 8 medianLevel 9 medianvs Level 9
Headshot rate42.1%46.8%48.2%6.1% short
Shot accuracy12.0%13.0%13.2%1.3% short
Kill/death ratio0.801.061.070.27 short
Match win rate39.3%46.3%46.9%7.6% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGShadyFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER25,529 · Red 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

Aim56
Positioning67
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateWWWLLWWLLW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating · +6.9pp headshot accuracy · −25ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 24%
  • Avg reaction 525ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 22%
  • Avg reaction 554ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 567ms

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 (+1.6 against its own average).

Aim5.6
Utility6.2
Positioning6.7
Opening Duels2.8
Clutch4.6

Effective 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 73% 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

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 60% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 566ms 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

Aim5.6
Positioning6.7
Utility6.2
Mechanics5.1
Opening Duels4.2
Win Impact4.4

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time558ms−26ms
first ⅓ avg 584ms → last ⅓ avg 558ms
Headshot accuracy18.0%+0.2%
first ⅓ avg 17.8% → last ⅓ avg 18.0%

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

0.13Best match rating · 13–9 · inferno, 12 Oct →
50%Best headshot accuracy · 5–1 · shelter, 18 Jul →
406msFastest reaction time · 13–7 · ancient, 26 Sept →
13–0Biggest win · dust2, 30 Sept →

Across the last 100 tracked matches.

Highlights

11Longest win streak
W3Current streak
10–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 58% over 12anubisWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A4123–1856%0.01
infernoC177–1041%0.02
nukeA127–558%0.02
mirageA116–555%0.01
anubisC114–736%0.02
cache—31–233%-0.01
ancient—32–167%0.02
boulder—11–0100%0.11
shelter—11–0100%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

120,661Lifetime kills
0.80K/D
6,103Matches
39.3%Match win rate
42.1%Headshot %
12.0%Shot accuracy
11,158MVPs
2,172Hours (in match)
6,373Bombs planted
1,005Bombs defused

Most-used weapons

AK-4737,194
AWP20,668
P2502,337
MP91,814
FAMAS1,660
MAC-101,630

Lifetime map wins

23,279dust2
8,119inferno
2,079nuke
499train
380vertigo
379cbble
108office
50stmarc

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

Faceit stats

Combat

106Matches
51%Win rate
1.21Avg K/D
83.2ADR
42%Headshot %

Clutches & streaks

43%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust21953%1.1117.5
Inferno1464%1.1315.4
Mirage967%1.3715.6
Ancient743%1.0016.4
Cache425%0.7112.3
Anubis30%0.8415.3
Nuke250%0.9916.5

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.

18.2%Headshot accuracy
30.4%Accuracy (enemy spotted)
33.3%Spray accuracy
73.0%Counter-strafing
10.4°Preaim
566msReaction time
60.1%T opening success
33.5%CT opening success
0.75Enemies flashed / flash
13.7%Flash assists
11.37HE damage / grenade
8.07Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.5106% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–90.0414%12 Oct →
mirage13–10.1324%12 Oct →
inferno13–90.1340%12 Oct →
mirage3–13-0.0514%10 Oct →
dust25–13-0.0128%10 Oct →
dust213–80.0917%4 Oct →
inferno6–10.1045%4 Oct →
dust211–130.0217%4 Oct →
anubis9–13-0.019%1 Oct →
nuke13–60.0613%1 Oct →
cache1–4-0.089%30 Sept →
inferno7–13-0.0413%30 Sept →
dust213–00.0930%30 Sept →
anubis2–13-0.065%30 Sept →
ancient13–10.037%30 Sept →
dust29–13-0.0229%30 Sept →
inferno5–13-0.0115%30 Sept →
mirage3–13-0.0812%30 Sept →
dust213–110.0319%30 Sept →
dust26–130.1013%28 Sept →
dust211–13-0.0423%27 Sept →
dust29–130.0113%27 Sept →
ancient13–70.1011%26 Sept →
dust215–15-0.0226%25 Sept →
dust213–20.0116%25 Sept →
ancient8–13-0.0724%25 Sept →
nuke13–60.0314%25 Sept →
inferno13–90.0413%25 Sept →
cache13–30.0621%24 Sept →
dust211–13-0.0016%24 Sept →
inferno9–13-0.0118%22 Sept →
dust211–130.0713%22 Sept →
dust213–110.0615%21 Sept →
nuke13–100.0416%21 Sept →
dust213–110.0417%21 Sept →
dust216–140.029%21 Sept →
dust213–7-0.0424%18 Sept →
inferno13–90.0726%18 Sept →
nuke13–70.0914%18 Sept →
dust216–130.0616%16 Sept →
nuke13–40.0917%16 Sept →
anubis13–8-0.0219%16 Sept →
inferno16–130.0413%16 Sept →
dust210–13-0.0116%16 Sept →
dust29–130.0412%15 Sept →
inferno8–13-0.098%15 Sept →
inferno7–130.017%13 Sept →
inferno9–130.0216%12 Sept →
dust26–13-0.0126%12 Sept →
anubis11–130.0213%12 Sept →
nuke13–6-0.0215%12 Sept →
dust213–160.0217%12 Sept →
inferno13–1-0.0010%12 Sept →
anubis9–130.0919%11 Sept →
nuke13–60.0922%10 Sept →
dust23–13-0.0823%10 Sept →
mirage5–13-0.079%10 Sept →
mirage13–110.0011%2 Sept →
dust22–13-0.0333%2 Sept →
dust213–40.0215%2 Sept →
mirage13–110.0914%2 Sept →
inferno8–13-0.0020%2 Sept →
dust213–70.0319%1 Sept →
mirage11–130.0018%1 Sept →
mirage13–30.0118%31 Aug →
dust216–140.0319%26 Aug →
nuke9–13-0.026%26 Aug →
dust213–2-0.016%26 Aug →
inferno2–13-0.0417%25 Aug →
dust213–2-0.0515%25 Aug →
nuke8–13-0.0314%24 Aug →
inferno13–110.0416%19 Aug →
anubis8–13-0.0414%19 Aug →
dust213–00.000%18 Aug →
anubis7–13-0.0427%17 Aug →
nuke3–13-0.043%14 Aug →
dust213–20.0233%14 Aug →
mirage11–13-0.0322%14 Aug →
anubis13–80.088%14 Aug →
anubis13–100.0617%13 Aug →
dust213–110.0621%10 Aug →
dust28–13-0.0315%10 Aug →
dust213–60.0632%8 Aug →
nuke10–130.0114%8 Aug →
dust28–130.0212%8 Aug →
dust213–11-0.0417%3 Aug →
dust212–3-0.0023%3 Aug →
dust213–70.0533%2 Aug →
cache4–13-0.0120%2 Aug →
mirage13–70.0119%29 Jul →
dust28–13-0.0317%24 Jul →
dust213–50.0622%24 Jul →
anubis13–60.1017%23 Jul →
dust213–90.0125%22 Jul →
boulder13–40.1113%18 Jul →
shelter5–10.0150%18 Jul →
nuke3–13-0.0513%18 Jul →
inferno10–130.056%18 Jul →
anubis8–130.098%12 Jul →
inferno10–13-0.0217%10 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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