Sleepallday

Sleepallday — CS2 Stats

DK76561197973630331[U:1:13364603]Steam profile ↗✓ No bans

3,855Tracked matches59%Win rate2021Tracked since
8,191Hours in CS42Hrs last 2 wks
CSDB Rating3.7 LearningSupport
Premier CS Rating7,741Light Blue band · top ~65.7% of ranked players (population est.)
FaceitLevel 4 · 790 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (3 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: 7,741 +1,483 16 Sept – 23 Oct · 15 days played
3,7588,196peak 8,19616 Sept23 Oct
8,567Peak Premier in tracked matches
790Highest Faceit ELO seen on CSDB
15Days played since 2026-09-16

Faceit ELO

  • At peak — 790
  • Next: Level 4 at 901 — 111 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • 455 below peak (8,196)
  • +1,925 over 30 days · improving
  • Next: Blue band at 10,000 — 2,259 to go
  • Reached: 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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate35.4%42.7%43.8%8.3% short
Shot accuracy9.9%11.2%12.0%2.1% short
Kill/death ratio0.720.991.020.29 short
Match win rate37.1%43.9%44.7%7.6% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSleepalldayFACEITLevel 4 · 790 ELOSTANDINGTop 81.0% of rankedPREMIER7,741 · Light Blue bandPEAK ELO790csdb.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

Aim33
Positioning41
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateWLWWLLLWLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −2.4pp headshot accuracy · +8ms 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 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 664ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 670ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 666ms

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: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim3.3
Utility5.1
Positioning4.1
Opening Duels1.5
Clutch3.2

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

Twistzz

Plays most like Twistzz 71% 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

Areas to improve

Reaction time. 644ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim3.3
Positioning4.1
Utility5.1
Mechanics4.0
Opening Duels1.3
Win Impact7.9

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time650ms+22ms
first ⅓ avg 628ms → last ⅓ avg 650ms
Headshot accuracy13.3%+2.0%
first ⅓ avg 11.3% → last ⅓ avg 13.3%

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

0.09Best match rating · 13–5 · inferno, 23 Oct →
36%Best headshot accuracy · 1–10 · office, 22 Oct →
484msFastest reaction time · 10–13 · office, 20 Oct →
13–0Biggest win · office, 13 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 64% over 11officeWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B178–947%-0.02
infernoA1610–663%-0.00
nukeB126–650%0.01
cacheA117–464%-0.01
officeC114–736%0.00
mirageB115–645%-0.01
ancientA106–460%-0.01
anubisB105–550%-0.02
train—21–150%0.02

Across the last 100 tracked matches.

Lifetime stats

144,009Lifetime kills
0.72K/D
9,288Matches
37.1%Match win rate
35.4%Headshot %
9.9%Shot accuracy
12,978MVPs
3,841Hours (in match)
12,932Bombs planted
1,881Bombs defused

Most-used weapons

AK-4726,362
Galil AR11,864
AWP7,039
FAMAS7,035
P905,699
MAC-103,954
MAG-73,819

Lifetime map wins

18,681inferno
18,435nuke
10,268dust2
5,134vertigo
4,276office
2,579train
104italy
38dust

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

Faceit stats

Combat

100Matches
51%Win rate
0.88Avg K/D
68.9ADR
35%Headshot %

Clutches & streaks

36%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke2467%0.8511.0
Inferno2339%0.7111.3
Anubis1753%0.9012.7
Mirage1060%1.8110.8
Ancient714%0.6010.1
Overpass650%0.6010.8
Dust2560%0.8712.8
Vertigo367%0.619.7

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.

12.9%Headshot accuracy
29.2%Accuracy (enemy spotted)
29.0%Spray accuracy
67.8%Counter-strafing
10.2°Preaim
644msReaction time
27.9%T opening success
40.2%CT opening success
0.48Enemies flashed / flash
7.3%Flash assists
10.98HE damage / grenade
6.51Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.8716% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4763 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 27.9107% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0110%23 Oct →
ancient9–130.0119%23 Oct →
inferno13–50.094%23 Oct →
ancient16–130.026%23 Oct →
anubis2–13-0.0912%23 Oct →
cache6–13-0.0317%23 Oct →
nuke14–160.0513%22 Oct →
inferno13–90.028%22 Oct →
dust211–130.0618%22 Oct →
cache13–80.0614%22 Oct →
office1–10-0.0736%22 Oct →
inferno13–90.0114%21 Oct →
cache13–8-0.007%21 Oct →
dust23–13-0.0318%21 Oct →
inferno13–30.027%21 Oct →
mirage13–30.0812%21 Oct →
mirage11–130.0418%20 Oct →
anubis13–50.008%20 Oct →
mirage13–40.0712%20 Oct →
anubis14–16-0.0413%20 Oct →
ancient13–6-0.067%20 Oct →
mirage6–2-0.030%20 Oct →
office10–130.0120%20 Oct →
inferno12–16-0.0413%19 Oct →
dust28–130.0017%19 Oct →
anubis15–15-0.0211%19 Oct →
dust213–1-0.008%19 Oct →
dust213–10-0.0520%19 Oct →
cache13–11-0.0716%19 Oct →
ancient13–90.019%19 Oct →
cache13–10-0.0121%19 Oct →
ancient7–13-0.0611%19 Oct →
inferno13–90.0122%18 Oct →
dust213–8-0.027%18 Oct →
nuke13–60.048%18 Oct →
mirage13–80.0110%18 Oct →
nuke13–40.029%18 Oct →
mirage9–13-0.0125%16 Oct →
office10–13-0.0416%16 Oct →
anubis13–90.019%16 Oct →
office13–70.0215%16 Oct →
nuke13–8-0.049%16 Oct →
cache9–13-0.069%16 Oct →
dust28–13-0.0612%13 Oct →
inferno2–13-0.014%13 Oct →
nuke4–13-0.018%13 Oct →
train10–130.068%13 Oct →
nuke13–50.0517%13 Oct →
dust213–80.0215%13 Oct →
ancient7–13-0.038%13 Oct →
office13–00.0214%13 Oct →
anubis13–50.017%12 Oct →
dust213–30.018%12 Oct →
nuke4–13-0.068%12 Oct →
office5–130.0417%12 Oct →
dust215–15-0.0614%11 Oct →
inferno13–8-0.0213%11 Oct →
mirage16–13-0.0115%11 Oct →
anubis11–13-0.034%11 Oct →
mirage1–13-0.130%11 Oct →
inferno7–13-0.003%11 Oct →
cache3–13-0.0016%11 Oct →
inferno9–13-0.0514%11 Oct →
mirage10–13-0.077%11 Oct →
mirage14–16-0.035%10 Oct →
nuke4–13-0.039%10 Oct →
inferno15–15-0.038%10 Oct →
office11–130.0416%10 Oct →
inferno11–13-0.0517%10 Oct →
anubis13–80.0112%10 Oct →
office12–12-0.0512%10 Oct →
dust26–13-0.0810%9 Oct →
cache13–80.0419%9 Oct →
inferno13–11-0.0411%9 Oct →
dust210–13-0.0412%9 Oct →
inferno13–110.0315%9 Oct →
office13–60.027%9 Oct →
dust213–3-0.013%9 Oct →
inferno13–5-0.0015%9 Oct →
ancient13–9-0.0310%9 Oct →
nuke9–130.068%9 Oct →
office3–60.0313%9 Oct →
dust210–130.0212%9 Oct →
anubis11–13-0.017%9 Oct →
ancient16–120.0114%9 Oct →
nuke13–16-0.0416%24 Sept →
nuke13–40.0112%24 Sept →
train13–3-0.014%24 Sept →
mirage7–13-0.016%24 Sept →
ancient13–10.0311%24 Sept →
cache13–60.0411%24 Sept →
dust211–13-0.0110%24 Sept →
cache7–13-0.036%24 Sept →
ancient10–130.0215%17 Sept →
nuke13–90.079%17 Sept →
office13–11-0.0113%17 Sept →
dust213–10-0.036%16 Sept →
cache13–6-0.0612%16 Sept →
inferno13–30.0110%16 Sept →
anubis16–12-0.0520%16 Sept →

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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