i will go to bed before 12

i will go to bed before 12 — CS2 Stats

76561198098530368[U:1:138264640]Steam profile ↗✓ No bans

1,606Tracked matches50%Win rate2020Tracked since
CSDB Rating4.9 DevelopingClutch Specialist
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 1,606
−3.3ppWin rate · 53.3% → 50.0%

Rating over time

Premier CS Rating: 25,465 +915 5 Mar – 24 Mar · 9 days played
24,55025,465peak 25,4655 Mar24 Mar
25,666Peak Premier in tracked matches
970Highest Faceit ELO seen on CSDB
40Days played since 2026-02-05

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.GGi will go to bed before 12FACEITLevel 4STANDINGTop 81.0% of rankedPEAK ELO970csdb.gg/stats

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Performance scores

Aim73
Positioning39
Utility36

0–100 skill scores via Leetify.

Recent form

COLD52–47–1Last 10052%Win rateLWLLLLWLWL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −1.5pp headshot accuracy · −50ms reaction

Win rate down 30pp 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 -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 477ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 501ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 526ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.2 against its own average).

Aim7.3
Utility3.6
Positioning3.9
Opening Duels0.5
Clutch4.2

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

b1t

Plays most like b1t 96% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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

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

Aim7.3
Positioning3.9
Utility3.6
Mechanics5.6
Opening Duels0.7
Win Impact5.0

Composite 4.9/10 (Developing), 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-0.02+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time544ms−68ms
first ⅓ avg 612ms → last ⅓ avg 544ms
Headshot accuracy17.3%−0.5%
first ⅓ avg 17.9% → last ⅓ avg 17.3%

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

0.15Best match rating · 13–4 · dust2, 16 Mar →
48%Best headshot accuracy · 13–6 · nuke, 10 Feb →
352msFastest reaction time · 13–2 · ancient, 7 Sept →
13–2Biggest win · ancient, 7 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 64% over 11dust2Weakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageA2012–860%0.01
ancientC198–1142%-0.01
anubisA159–660%-0.01
infernoB147–750%-0.02
nukeA117–464%-0.03
dust2D93–633%0.01
cache—42–250%-0.04
vertigo—43–175%-0.03
overpass—21–150%-0.06
warden—10–10%-0.07
office—10–10%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

489Matches
51%Win rate
0.88Avg K/D
62.7ADR
42%Headshot %

Clutches & streaks

41%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6655%0.9313.3
Ancient5959%0.7412.0
Anubis3746%0.7511.6
Nuke2959%0.7911.4
Dust22250%0.9012.4
Vertigo1958%0.9013.1
Inferno1932%0.7311.4
Overpass757%0.8712.6

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.

16.8%Headshot accuracy
35.4%Accuracy (enemy spotted)
42.4%Spray accuracy
75.1%Counter-strafing
10.2°Preaim
538msReaction time
22.7%T opening success
35.4%CT opening success
0.45Enemies flashed / flash
6.1%Flash assists
8.12HE damage / grenade
3.09Flashes / 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. 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 0.4466 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 22.7273% — below the 40% mark we flag

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.

33% 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
mirage10–13-0.0223%12 Oct →
ancient13–20.0512%7 Sept →
mirage10–130.0115%29 Aug →
nuke8–13-0.0620%29 Aug →
cache11–13-0.0812%27 Aug →
ancient7–13-0.036%27 Aug →
mirage19–16-0.0117%27 Aug →
inferno5–13-0.0717%23 Aug →
vertigo13–9-0.0219%23 Aug →
inferno8–13-0.0115%17 Aug →
anubis8–130.0414%16 Aug →
ancient8–13-0.0617%16 Aug →
mirage13–10-0.0122%16 Aug →
cache19–16-0.0412%15 Aug →
anubis13–60.047%15 Aug →
dust29–13-0.0112%14 Aug →
mirage13–110.0718%14 Aug →
vertigo13–90.0119%14 Aug →
anubis9–130.0038%14 Aug →
nuke13–10-0.0611%13 Aug →
mirage13–80.0122%13 Aug →
ancient13–8-0.0221%13 Aug →
anubis13–5-0.0415%13 Aug →
cache13–9-0.0524%12 Aug →
ancient9–13-0.0714%12 Aug →
nuke13–11-0.1016%9 Aug →
ancient10–13-0.0110%8 Aug →
inferno10–130.0119%8 Aug →
mirage14–16-0.0317%8 Aug →
anubis13–11-0.0720%8 Aug →
inferno13–5-0.0121%8 Aug →
inferno3–10-0.0725%8 Aug →
vertigo13–8-0.0823%17 Jul →
anubis4–13-0.030%17 Jul →
cache10–130.0015%24 May →
nuke10–130.0327%6 Apr →
warden11–13-0.078%1 Apr →
office4–13-0.0715%1 Apr →
nuke6–13-0.0333%1 Apr →
mirage13–90.0513%29 Mar →
mirage13–50.0617%29 Mar →
mirage16–120.0113%28 Mar →
mirage13–60.128%28 Mar →
mirage13–100.0611%28 Mar →
overpass10–13-0.0721%26 Mar →
ancient9–130.0415%26 Mar →
ancient13–70.1420%26 Mar →
ancient13–60.0226%26 Mar →
nuke13–100.0015%24 Mar →
ancient13–8-0.056%24 Mar →
ancient8–130.0418%24 Mar →
dust213–7-0.0410%23 Mar →
dust213–100.0416%23 Mar →
dust25–13-0.0119%23 Mar →
anubis13–100.0310%23 Mar →
ancient10–130.0114%23 Mar →
inferno13–100.026%23 Mar →
dust29–130.0211%22 Mar →
inferno7–13-0.0114%20 Mar →
mirage10–130.0324%20 Mar →
vertigo12–12-0.0230%17 Mar →
anubis7–13-0.0326%17 Mar →
mirage7–13-0.0918%17 Mar →
ancient11–13-0.0012%17 Mar →
inferno13–4-0.0017%17 Mar →
dust213–40.1515%16 Mar →
anubis13–110.0510%12 Mar →
mirage13–80.0512%12 Mar →
dust25–13-0.0116%12 Mar →
nuke13–100.1015%12 Mar →
dust26–13-0.0222%12 Mar →
ancient11–13-0.109%12 Mar →
anubis13–10-0.0313%12 Mar →
nuke13–11-0.0713%11 Mar →
overpass13–11-0.0613%11 Mar →
inferno13–80.0324%11 Mar →
mirage13–30.0117%11 Mar →
ancient6–13-0.0614%11 Mar →
ancient9–13-0.0018%11 Mar →
dust29–130.0026%9 Mar →
mirage13–7-0.0516%8 Mar →
inferno11–13-0.0515%7 Mar →
mirage10–13-0.0523%6 Mar →
nuke13–10-0.0842%6 Mar →
anubis13–8-0.0214%5 Mar →
inferno13–30.0111%5 Mar →
ancient13–90.019%5 Mar →
anubis13–5-0.0222%5 Mar →
mirage4–13-0.0723%26 Feb →
anubis3–13-0.0813%26 Feb →
ancient13–7-0.0416%25 Feb →
nuke10–13-0.0514%24 Feb →
ancient13–10-0.0211%12 Feb →
inferno7–13-0.0113%12 Feb →
inferno13–8-0.0315%11 Feb →
anubis4–13-0.0117%11 Feb →
anubis13–6-0.052%10 Feb →
mirage9–13-0.0332%10 Feb →
nuke13–60.0148%10 Feb →
inferno13–9-0.0821%5 Feb →

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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