SubSleepy

SubSleepy — CS2 Stats

CC76561198136910753[U:1:176645025]Steam profile ↗✓ No bans

3,160Tracked matches48%Win rate2020Tracked since
2,588Hours in CS
CSDB Rating5.6 SolidAggressive Rifler
Premier CS Rating17,038Purple band · top ~20.3% of ranked players (population est.)
CSDB Leaderboard#28069 of 53303 tracked
FaceitLevel 9 · 1,833 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,892), 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 9 medianLevel 10 medianvs Level 10
Headshot rate44.9%48.5%51.9%7.1% short
Shot accuracy10.9%13.3%13.7%2.8% short
Kill/death ratio1.091.071.08meets
Match win rate47.2%47.0%48.7%1.5% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSubSleepyFACEITLevel 9 · 1,833 ELOSTANDINGTop 20.7% of rankedPREMIER17,038 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning56
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY47467Last 10047%Win rateLLWWWLLWWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.5
Aggression7.6
Utility3.5
Positioning5.6
Opening Duels2.2
Clutch1.6

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.

Your pro match

b1t

Plays most like b1t 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 597ms 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

Aim7.5
Positioning5.6
Utility3.5
Mechanics6.8
Opening Duels2.2
Win Impact4.4

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time610ms−131ms
first ⅓ avg 741ms → last ⅓ avg 610ms
Headshot accuracy19.7%−7.1%
first ⅓ avg 26.8% → last ⅓ avg 19.7%

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.

Highlights

0.31Best rating — sanctum 9–3
132Biggest win — inferno
4Longest win streak
L2Current streak
510In matches decided by ≤2 rounds
16Overtime games

Map breakdown

infernoBest map · 58% over 31cacheWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA31181358%-0.00
ancientB20101050%-0.01
dust2C145936%-0.00
anubisB137654%-0.00
cacheD71614%0.00
nukeC52340%0.00
poseidon41325%0.06
sanctum32167%0.13
overpass21150%0.03
mirage1010%-0.09

Across the last 100 tracked matches.

Lifetime stats

121,139Lifetime kills
1.09K/D · Top 50% of Level 9 players
6,034Matches
47.2%Match win rate · Top 50% of Level 9 players
44.9%Headshot %
10.9%Shot accuracy
15,661MVPs
2,588Hours (in match)
10,476Bombs planted
1,444Bombs defused

Most-used weapons

AK-4729,617
UMP-458,106
AWP7,970
MP74,589
FAMAS3,521
P2502,740

Lifetime map wins

27,015inferno
9,171dust2
2,395vertigo
2,230cbble
1,323train
930nuke
232italy
208lake

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

Faceit stats

Combat

319Matches
53%Win rate
1.22Avg K/D
80.7ADR
44%Headshot %

Clutches & streaks

28%1v1 clutch win
29%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno6549%1.1416.5
Anubis5353%1.0916.2
Ancient3850%1.1317.2
Vertigo2241%1.3519.3
Mirage2055%0.9314.9
Overpass1267%1.1715.1
Dust21060%0.9412.5
Train560%1.9118.4

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.

20.5%Headshot accuracy
33.9%Accuracy (enemy spotted)
40.9%Spray accuracy
80.8%Counter-strafing
9.6°Preaim
597msReaction time
33.9%T opening success
43.8%CT opening success
0.50Enemies flashed / flash
2.7%Flash assists
5.61HE damage / grenade
4.17Flashes / 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

    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 33.9102% — below the 40% mark we flag

Spend your practice time on Cache

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient13–16-0.0327%27 Aug
cache10–13-0.0427%26 Aug
anubis13–50.069%26 Aug
inferno13–2-0.0226%26 Aug
inferno13–30.0622%26 Aug
dust211–130.0311%26 Aug
mirage10–13-0.0917%26 Aug
dust213–10-0.0610%26 Aug
nuke13–11-0.0529%20 Aug
cache13–20.0826%20 Aug
dust210–130.0334%16 Aug
inferno13–8-0.0224%16 Aug
ancient16–14-0.0226%2 Aug
inferno12–160.0625%2 Aug
cache7–13-0.0524%2 Aug
ancient9–13-0.0815%2 Aug
anubis4–130.0320%1 Aug
dust213–6-0.0216%1 Aug
inferno11–13-0.0411%1 Aug
cache9–130.0129%1 Aug
ancient13–100.0113%1 Aug
dust215–150.0322%1 Aug
inferno5–13-0.086%1 Aug
dust213–10-0.0317%31 Jul
ancient2–13-0.0210%31 Jul
nuke13–100.0224%31 Jul
ancient13–40.0324%30 Jul
inferno1–13-0.0824%23 Jul
inferno13–3-0.0516%12 Jul
ancient7–13-0.0323%12 Jul
ancient14–160.0119%10 Jul
anubis7–13-0.0710%10 Jul
inferno13–80.0412%10 Jul
anubis13–6-0.0228%10 Jul
ancient3–13-0.0817%10 Jul
inferno13–9-0.036%10 Jul
ancient16–120.0326%4 Jul
anubis13–5-0.024%4 Jul
inferno13–50.0721%4 Jul
inferno11–130.0616%4 Jul
inferno13–90.0016%4 Jul
ancient15–15-0.0316%4 Jul
ancient13–100.0012%4 Jul
ancient15–15-0.0315%17 Jun
inferno10–13-0.0419%16 Jun
inferno12–16-0.0216%16 Jun
anubis12–160.0023%16 Jun
dust216–130.0514%16 Jun
anubis10–130.0420%9 Jun
overpass13–70.0120%9 Jun
anubis13–60.0113%9 Jun
inferno13–110.0126%9 Jun
inferno6–13-0.0223%9 Jun
inferno13–70.0035%9 Jun
ancient13–9-0.047%8 Jun
inferno13–90.0126%8 Jun
inferno11–13-0.0217%8 Jun
anubis13–10-0.079%2 Jun
inferno13–50.1320%31 May
inferno13–80.0419%31 May
ancient13–5-0.0413%21 May
dust215–150.0118%16 May
ancient10–130.0325%16 May
ancient16–120.1029%10 May
ancient13–70.0421%10 May
dust215–150.0219%10 May
anubis11–13-0.0023%10 May
inferno13–8-0.0213%10 May
dust28–13-0.0430%6 May
inferno13–4-0.0434%5 May
dust213–100.0326%5 May
ancient1–13-0.1113%5 May
cache5–130.0225%5 May
inferno10–13-0.0332%4 May
anubis8–13-0.0327%4 May
dust29–130.0226%4 May
inferno13–11-0.0322%4 May
anubis13–6-0.0028%4 May
inferno8–80.0543%3 May
inferno9–4-0.0130%3 May
sanctum9–30.3121%3 May
sanctum7–9-0.0321%3 May
poseidon9–50.1628%3 May
poseidon7–90.0846%3 May
poseidon5–9-0.0431%2 May
poseidon8–80.0235%2 May
sanctum9–20.1128%2 May
dust28–13-0.0329%2 May
nuke4–13-0.0531%2 May
overpass10–130.0417%2 May
inferno2–13-0.0416%2 May
inferno14–16-0.0220%1 May
cache6–13-0.0136%30 Apr
nuke10–130.0322%30 Apr
inferno13–50.0716%30 Apr
anubis13–110.0722%29 Apr
dust214–16-0.0532%29 Apr
ancient13–90.0731%29 Apr
nuke8–130.0626%29 Apr
cache8–130.0229%29 Apr

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 →