.sleeper

.sleeper — CS2 Stats

76561197984887535[U:1:24621807]Steam profile ↗✓ No bans

1,166Tracked matches57%Win rate2020Tracked since
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating13,190Blue band · top ~38% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (yesterday). 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: 13,190 +2,506 14 Aug – 9 Oct · 35 days played
10,68413,551peak 13,55114 Aug9 Oct
13,711Peak Premier in tracked matches
37Days played since 2026-08-14

Premier CS Rating

  • 361 below peak (13,551)
  • +2,034 over 30 days · improving
  • Next: Purple band at 15,000 — 1,810 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-19
  • Light Blue band first seen 2026-09-19

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GG.sleeperFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,190 · Blue bandcsdb.gg/stats

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Performance scores

Aim32
Positioning60
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateLLWLWWWLWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −4.1pp headshot accuracy · −10ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 677ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 738ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 743ms

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 (+1.7 against its own average).

Aim3.2
Utility5.7
Positioning6.0
Opening Duels3.0
Clutch2.6

Limited 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

ZywOo

Plays most like ZywOo 57% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

CT openings. Opening success drops from 67% on T to 45% on CT — first contacts on the defending side are being lost.

Reaction time. 768ms 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

Aim3.2
Positioning6.0
Utility5.7
Mechanics6.7
Opening Duels6.4
Win Impact7.2

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time772ms−14ms
first ⅓ avg 786ms → last ⅓ avg 772ms
Headshot accuracy14.5%−4.0%
first ⅓ avg 18.5% → last ⅓ avg 14.5%

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

0.08Best match rating · 10–4 · dust2, 17 Aug →
36%Best headshot accuracy · 1–13 · dust2, 10 Sept →
484msFastest reaction time · 3–9 · inferno, 7 Sept →
13–1Biggest win · inferno, 19 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
14–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 57% over 7dust2Weakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB3116–1552%-0.03
nukeB2210–1245%-0.03
anubisB136–746%-0.03
dust2C114–736%-0.02
cacheA74–357%-0.01
ancientB63–350%-0.04
mirageB63–350%-0.01
vertigo—30–30%-0.03
overpass—10–10%-0.25

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

26Matches
35%Win rate
0.82Avg K/D
72.8ADR
38%Headshot %

Clutches & streaks

33%1v1 clutch win
25%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno30%0.558.3
Mirage367%0.9212.7
Nuke250%0.9415.5
Dust210%0.6511.0

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.

15.1%Headshot accuracy
33.3%Accuracy (enemy spotted)
27.5%Spray accuracy
80.0%Counter-strafing
12.3°Preaim
768msReaction time
66.6%T opening success
44.7%CT opening success
0.54Enemies flashed / flash
1.1%Flash assists
17.79HE damage / grenade
3.04Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.287° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 767.8684ms — above the 700ms mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.0385 — below the 4 mark we flag

    Grenade Lineups →
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.

36% win rate across 11 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
nuke10–13-0.0310%9 Oct →
inferno4–13-0.089%8 Oct →
nuke13–11-0.0412%8 Oct →
dust24–13-0.0812%7 Oct →
inferno13–11-0.0110%7 Oct →
nuke13–2-0.0213%7 Oct →
inferno13–90.0018%7 Oct →
anubis8–13-0.047%6 Oct →
nuke13–50.0210%6 Oct →
inferno13–80.0317%6 Oct →
ancient5–13-0.030%5 Oct →
nuke6–13-0.0618%5 Oct →
inferno13–9-0.0413%5 Oct →
dust213–4-0.0220%1 Oct →
vertigo6–13-0.0822%1 Oct →
nuke11–13-0.0117%1 Oct →
mirage13–50.0511%1 Oct →
nuke10–130.0019%29 Sept →
cache13–6-0.0016%28 Sept →
inferno13–110.0124%28 Sept →
mirage13–30.0523%26 Sept →
inferno13–6-0.0811%26 Sept →
nuke10–13-0.0612%26 Sept →
cache7–130.0413%26 Sept →
inferno8–13-0.0319%23 Sept →
inferno13–50.0010%23 Sept →
mirage13–11-0.0617%23 Sept →
anubis16–14-0.0216%22 Sept →
inferno16–14-0.0324%21 Sept →
nuke4–13-0.0626%21 Sept →
anubis0–13-0.076%21 Sept →
anubis9–13-0.0515%20 Sept →
inferno13–1-0.0810%19 Sept →
anubis13–10-0.066%19 Sept →
mirage11–13-0.0913%19 Sept →
overpass4–9-0.2510%19 Sept →
ancient6–13-0.129%17 Sept →
inferno13–7-0.0221%17 Sept →
dust27–13-0.0023%17 Sept →
anubis13–110.0019%15 Sept →
inferno11–13-0.0330%15 Sept →
nuke10–13-0.0222%15 Sept →
cache5–13-0.0518%15 Sept →
mirage9–130.0122%15 Sept →
cache13–9-0.0124%13 Sept →
anubis6–13-0.0222%13 Sept →
nuke13–110.0025%12 Sept →
inferno13–80.0316%12 Sept →
ancient13–10-0.0319%12 Sept →
inferno9–13-0.048%12 Sept →
anubis13–11-0.0120%10 Sept →
dust21–13-0.1436%10 Sept →
inferno8–13-0.0117%10 Sept →
cache13–50.0728%10 Sept →
nuke1–13-0.0413%8 Sept →
inferno13–3-0.073%8 Sept →
inferno10–13-0.0318%7 Sept →
vertigo8–80.0423%7 Sept →
inferno3–9-0.117%7 Sept →
anubis1–13-0.0230%6 Sept →
nuke13–11-0.0620%6 Sept →
nuke13–80.0511%6 Sept →
anubis1–13-0.073%6 Sept →
inferno6–13-0.0310%6 Sept →
inferno15–150.0119%6 Sept →
nuke13–60.0414%4 Sept →
nuke6–13-0.0815%3 Sept →
inferno11–13-0.074%3 Sept →
inferno10–13-0.0823%1 Sept →
inferno7–13-0.0621%31 Aug →
inferno9–13-0.0617%31 Aug →
dust29–130.0218%30 Aug →
cache11–13-0.0634%30 Aug →
ancient11–13-0.0913%29 Aug →
nuke13–110.0020%29 Aug →
ancient13–60.0218%28 Aug →
anubis8–13-0.0120%28 Aug →
mirage9–13-0.0421%28 Aug →
dust216–14-0.0213%27 Aug →
nuke13–10-0.0213%27 Aug →
cache13–5-0.0520%27 Aug →
nuke7–13-0.1326%27 Aug →
inferno13–80.0123%25 Aug →
vertigo5–13-0.0620%21 Aug →
inferno13–5-0.097%20 Aug →
anubis16–140.0215%20 Aug →
dust21–8-0.075%17 Aug →
nuke9–13-0.0132%17 Aug →
ancient13–100.0114%17 Aug →
dust210–40.0816%17 Aug →
nuke3–13-0.1024%17 Aug →
dust216–13-0.0422%16 Aug →
nuke16–120.0016%16 Aug →
inferno9–3-0.0123%16 Aug →
dust23–130.0323%15 Aug →
inferno11–130.0420%15 Aug →
inferno13–10-0.0123%15 Aug →
anubis13–11-0.0316%15 Aug →
dust27–13-0.0414%15 Aug →
inferno5–13-0.1015%14 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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