SleepyMARS😴

SleepyMARS😴 — CS2 Stats

DE76561197962365960[U:1:2100232]Steam profile ↗✓ No bans

1,665Tracked matches57%Win rate2020Tracked since
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating22,077Top 50% of 201,122 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)
CSDB Leaderboard#52479 of 247969 tracked
FaceitLevel 8 · 1,617 ELOTop 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 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: 22,077 +931 25 Jul – 2 Oct · 26 days played
19,99822,547peak 22,54725 Jul2 Oct
22,783Peak Premier in tracked matches
1,617Highest Faceit ELO seen on CSDB
26Days played since 2026-07-25

Faceit ELO

  • At peak — 1,617
  • Next: Level 9 at 1,751 — 134 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-18
  • Level 7 first seen 2026-09-18

Premier CS Rating

  • 470 below peak (22,547)
  • +1,346 over 30 days · improving
  • Next: Red band at 25,000 — 2,923 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-18
  • Purple band first seen 2026-09-18

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGSleepyMARS😴FACEITLevel 8 · 1,617 ELOSTANDINGTop 31.2% of rankedPREMIER22,077 · Pink bandPEAK ELO1,617csdb.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

Aim32
Positioning73
Utility61

0–100 skill scores via Leetify.

Recent form

HOT47–46–7Last 10047%Win rateLWWLWWWLWW

Last 10 vs previous 10: +40pp win rate · +0.05 avg rating · −0.4pp headshot accuracy · −11ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 567ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 580ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 585ms

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 (+1.1 against its own average).

Aim3.2
Utility6.1
Positioning7.3
Opening Duels6.3
Clutch5.2

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

donk

Plays most like donk 50% 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

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim3.2
Positioning7.3
Utility6.1
Mechanics2.8
Opening Duels5.9
Win Impact7.2

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time574ms−55ms
first ⅓ avg 629ms → last ⅓ avg 574ms
Headshot accuracy11.8%−0.4%
first ⅓ avg 12.2% → last ⅓ avg 11.8%

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 · 8–8 · nuke, 15 Aug →
29%Best headshot accuracy · 8–13 · nuke, 28 Aug →
422msFastest reaction time · 8–8 · nuke, 15 Aug →
13–0Biggest win · inferno, 22 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–11In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 60% over 15ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeC2812–1643%0.00
infernoA1710–759%0.02
cacheC166–1038%0.00
dust2A159–660%-0.00
anubisA148–657%-0.00
ancientD82–625%-0.02
poseidon—10–10%-0.05
debris—10–10%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

140Matches
54%Win rate
1.12Avg K/D
75.2ADR
29%Headshot %

Clutches & streaks

46%1v1 clutch win
7%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust21631%1.0116.8
Nuke888%1.0416.1
Inferno650%1.2417.3
Ancient475%0.8115.3
Mirage30%0.569.0
Anubis3100%1.1915.0
Train250%0.8715.0

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.

11.8%Headshot accuracy
30.4%Accuracy (enemy spotted)
34.8%Spray accuracy
62.5%Counter-strafing
12.9°Preaim
571msReaction time
45.0%T opening success
62.4%CT opening success
0.49Enemies flashed / flash
3.8%Flash assists
9.15HE damage / grenade
16.17Flashes / 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 12.8534° — above the 12° mark we flag

    Aim Training →
  2. 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 11.8443% — below the 15% 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 0.4947 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–130.0317%2 Oct →
inferno13–80.0310%2 Oct →
nuke13–30.0319%2 Oct →
anubis14–16-0.0119%2 Oct →
nuke13–80.0315%26 Sept →
nuke13–90.054%26 Sept →
anubis13–100.1013%26 Sept →
nuke6–130.044%19 Sept →
dust213–8-0.0113%19 Sept →
cache16–130.0213%19 Sept →
dust213–11-0.0113%19 Sept →
cache3–13-0.0617%18 Sept →
nuke7–13-0.0713%18 Sept →
anubis5–13-0.079%18 Sept →
nuke9–13-0.0210%12 Sept →
cache11–130.0316%12 Sept →
inferno3–13-0.0111%11 Sept →
ancient11–13-0.035%11 Sept →
inferno13–80.0215%6 Sept →
dust213–70.0523%6 Sept →
cache9–13-0.0413%6 Sept →
inferno13–110.0213%5 Sept →
cache13–110.0715%5 Sept →
anubis16–13-0.037%5 Sept →
inferno7–13-0.028%4 Sept →
nuke13–40.055%4 Sept →
nuke13–40.068%4 Sept →
dust213–60.077%4 Sept →
cache13–80.026%4 Sept →
dust211–13-0.0113%1 Sept →
cache8–13-0.017%1 Sept →
dust216–14-0.0315%1 Sept →
nuke13–110.0515%29 Aug →
anubis9–13-0.0513%29 Aug →
cache16–130.069%29 Aug →
nuke8–13-0.0129%28 Aug →
cache13–100.049%28 Aug →
nuke15–150.0812%28 Aug →
nuke8–8-0.067%28 Aug →
dust213–8-0.0011%22 Aug →
ancient6–13-0.024%22 Aug →
inferno13–00.0413%22 Aug →
nuke11–13-0.038%22 Aug →
dust213–7-0.0213%22 Aug →
anubis13–20.0525%22 Aug →
anubis6–130.0422%21 Aug →
ancient13–11-0.0310%21 Aug →
nuke10–13-0.0713%21 Aug →
dust27–13-0.0624%21 Aug →
ancient13–10-0.008%21 Aug →
inferno11–130.0616%18 Aug →
nuke5–13-0.0510%18 Aug →
nuke8–13-0.0410%18 Aug →
inferno8–13-0.0113%15 Aug →
nuke13–90.0617%15 Aug →
ancient10–13-0.032%15 Aug →
anubis13–40.0115%15 Aug →
cache11–130.0414%15 Aug →
nuke8–80.1323%15 Aug →
dust28–13-0.063%14 Aug →
ancient10–13-0.0018%14 Aug →
dust213–9-0.0012%14 Aug →
cache13–90.046%14 Aug →
inferno13–50.0613%14 Aug →
dust210–130.0519%8 Aug →
nuke13–100.008%8 Aug →
anubis13–110.0012%8 Aug →
inferno16–120.037%8 Aug →
nuke13–6-0.0016%8 Aug →
cache6–13-0.0821%7 Aug →
dust213–70.0115%7 Aug →
inferno13–20.0312%7 Aug →
inferno1–9-0.070%5 Aug →
nuke11–130.028%1 Aug →
nuke16–140.0313%1 Aug →
anubis7–2-0.029%1 Aug →
cache5–13-0.057%1 Aug →
anubis4–13-0.0712%1 Aug →
nuke6–9-0.0218%1 Aug →
cache13–160.0315%31 Jul →
inferno14–16-0.0014%31 Jul →
anubis16–12-0.034%31 Jul →
inferno13–4-0.0110%31 Jul →
ancient7–13-0.0620%29 Jul →
cache11–13-0.049%29 Jul →
inferno13–40.0518%29 Jul →
cache9–13-0.0410%29 Jul →
poseidon8–8-0.059%29 Jul →
nuke2–9-0.116%29 Jul →
dust215–150.0316%28 Jul →
inferno13–90.0117%26 Jul →
anubis13–11-0.0120%26 Jul →
nuke7–13-0.024%26 Jul →
nuke13–80.0412%26 Jul →
ancient15–150.0014%25 Jul →
dust27–13-0.038%25 Jul →
anubis11–130.0211%25 Jul →
nuke9–3-0.0818%25 Jul →
nuke8–8-0.0412%25 Jul →
debris6–90.0120%25 Jul →

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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