.sleeper

.sleeper — CS2 Stats

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

1,195Tracked matches38%Win rate2020Tracked since
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating12,660Blue band · top ~40.8% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 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: 12,660 +782 31 Aug – 30 Oct · 34 days played
10,70614,689peak 14,68931 Aug30 Oct
14,865Peak Premier in tracked matches
35Days played since 2026-08-31

Premier CS Rating

  • 2,029 below peak (14,689)
  • +587 over 30 days · improving
  • Next: Purple band at 15,000 — 2,340 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 rankedPREMIER12,660 · Blue bandcsdb.gg/stats

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Performance scores

Aim40
Positioning54
Utility41

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateLLWLLLLLLT

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −3.2pp headshot accuracy · −10ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 906ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 794ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 799ms

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 against its own average).

Aim4.0
Utility4.1
Positioning5.4
Opening Duels1.4
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

NiKo

Plays most like NiKo 72% 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

CT openings. Opening success drops from 57% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 765ms 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

Aim4.0
Positioning5.4
Utility4.1
Mechanics7.8
Opening Duels3.9
Win Impact1.0

Composite 4.3/10 (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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time772ms+17ms
first ⅓ avg 755ms → last ⅓ avg 772ms
Headshot accuracy15.7%−2.6%
first ⅓ avg 18.3% → last ⅓ avg 15.7%

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

0.10Best match rating · 9–5 · nuke, 22 Oct →
36%Best headshot accuracy · 1–13 · dust2, 10 Sept →
484msFastest reaction time · 3–9 · inferno, 7 Sept →
13–0Biggest win · nuke, 25 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
10–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 55% over 31dust2Weakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoA3117–1455%-0.03
nukeB2312–1152%-0.01
anubisC145–936%-0.05
dust2D92–722%-0.05
mirageC83–538%-0.02
cacheC83–538%-0.01
ancient—41–325%-0.06
vertigo—20–20%-0.02
overpass—10–10%-0.25

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). 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.

15.7%Headshot accuracy
33.9%Accuracy (enemy spotted)
32.9%Spray accuracy
85.0%Counter-strafing
12.8°Preaim
765msReaction time
57.3%T opening success
33.6%CT opening success
0.36Enemies flashed / flash
1.0%Flash assists
13.63HE damage / grenade
3.64Flashes / 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 12.7717° — 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 764.6711ms — above the 700ms mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.357 — below the 0.5 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.

22% win rate across 9 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
dust28–13-0.0216%30 Oct →
mirage9–13-0.0215%30 Oct →
nuke16–13-0.0513%29 Oct →
nuke5–130.0024%29 Oct →
nuke3–13-0.0410%29 Oct →
anubis11–13-0.0615%26 Oct →
dust27–13-0.057%26 Oct →
dust23–13-0.0611%26 Oct →
inferno7–13-0.0415%26 Oct →
anubis15–15-0.106%26 Oct →
mirage1–13-0.133%26 Oct →
inferno13–8-0.0519%25 Oct →
cache10–13-0.0713%25 Oct →
ancient8–13-0.0521%25 Oct →
nuke13–00.0518%25 Oct →
nuke13–3-0.0217%25 Oct →
nuke13–50.0224%25 Oct →
anubis2–13-0.1319%23 Oct →
inferno13–60.0117%23 Oct →
mirage8–130.0115%23 Oct →
nuke9–50.1022%22 Oct →
dust213–50.0119%22 Oct →
inferno13–40.0221%22 Oct →
inferno13–80.0214%22 Oct →
dust28–13-0.0722%20 Oct →
inferno13–10-0.0413%19 Oct →
cache11–13-0.0319%18 Oct →
anubis16–120.0122%18 Oct →
cache6–13-0.0124%18 Oct →
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 →

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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