ImLucky (certified autist)

ImLucky (certified autist) — CS2 Stats

IQ76561198803886796[U:1:843621068]Steam profile ↗✓ No bans

430Tracked matches39%Win rate2020Tracked since
668Hours in CS
CSDB Rating4.0 DevelopingClutch Specialist
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 430 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 30 days played since 9 Dec 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 7,461 -1,799 9 Dec19 Jan · 24 days played
7,46110,112peak 10,1129 Dec19 Jan
10,112Peak Premier in tracked matches
30Days played since 2025-12-09

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.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=8,548), 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 3 medianLevel 4 medianvs Level 4
Headshot rate53.8%41.9%42.7%above
Shot accuracy8.2%12.2%11.2%3.0% short
Kill/death ratio1.200.980.99above
Match win rate41.3%43.3%43.9%2.7% short

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGImLucky (certified autist)FACEITLevel 3STANDINGTop 90.6% of rankedcsdb.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

Aim45
Positioning40
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY45523Last 10045%Win rateWLWLWLWLTL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +7.5pp headshot accuracy · +67ms reaction

Win rate 0pp 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

  • 32 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 795ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 757ms

Last 20

  • 8111 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 724ms

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 SpecialistLate-round 1vX conversion stands above the rest of this profile (+1.1 against its own average).

Aim4.5
Utility4.3
Positioning4.0
Opening Duels0.9
Clutch4.6

Strong CT-side opener

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 78% 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

T-side openings. Opening success drops from 48% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 695ms 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

Aim4.5
Positioning4.0
Utility4.3
Mechanics5.6
Opening Duels2.2
Win Impact1.4

Composite 4.0/10 (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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time693ms−2ms
first ⅓ avg 695ms → last ⅓ avg 693ms
Headshot accuracy15.0%−1.5%
first ⅓ avg 16.5% → last ⅓ avg 15.0%

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 · 13–2 · mirage, 29 Apr
50%Best headshot accuracy · 13–4 · nuke, 11 Jan
469msFastest reaction time · 12–16 · mirage, 14 Dec
13–1Biggest win · mirage, 11 Jan

Across the last 100 tracked matches.

Highlights

4Longest win streak
56In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 63% over 16dust2Weakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
mirageC2181338%-0.02
dust2D1861233%-0.00
nukeA1610663%-0.02
ancientA169756%-0.02
infernoC145936%-0.01
overpassC73443%-0.04
trainB63350%-0.01
anubis21150%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,957Lifetime kills
1.20K/D · Top 25% of Level 3 players
1,761Matches
41.3%Match win rate
53.8%Headshot % · Top 10% of Level 3 players
8.2%Shot accuracy
3,965MVPs
668Hours (in match)
1,758Bombs planted
371Bombs defused

Most-used weapons

Lifetime map wins

1,804inferno
1,672dust2
1,083nuke
483train
387vertigo
307cbble
117office
86lake

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

Faceit stats

Combat

53Matches
47%Win rate
1.00Avg K/D
75.6ADR
37%Headshot %

Clutches & streaks

43%1v1 clutch win
35%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1155%0.9814.4
Inferno850%1.0913.9
Ancient5100%1.3615.6
Dust2333%0.9716.7
Nuke1100%2.1415.0

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.

14.9%Headshot accuracy
31.4%Accuracy (enemy spotted)
32.9%Spray accuracy
75.2%Counter-strafing
9.3°Preaim
695msReaction time
19.2%T opening success
48.0%CT opening success
0.45Enemies flashed / flash
2.8%Flash assists
7.45HE damage / grenade
8.21Flashes / 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 14.879% — 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 0.4536 — 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 19.2119% — 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 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–80.0013%1 May
dust210–13-0.0112%1 May
anubis16–140.0314%29 Apr
dust25–13-0.0717%29 Apr
mirage13–20.0927%29 Apr
nuke6–13-0.0739%29 Apr
dust213–100.0616%15 Apr
anubis7–13-0.058%14 Mar
dust212–12-0.0126%14 Mar
mirage5–13-0.0123%14 Mar
mirage13–4-0.004%22 Jan
inferno9–130.0313%22 Jan
mirage14–16-0.0510%22 Jan
mirage4–13-0.0315%20 Jan
dust213–60.0710%19 Jan
dust21–13-0.068%19 Jan
ancient6–130.0117%19 Jan
ancient13–90.0312%19 Jan
ancient13–10-0.0311%18 Jan
dust29–130.0219%18 Jan
mirage13–90.0410%18 Jan
overpass15–15-0.0710%18 Jan
nuke9–13-0.0812%18 Jan
mirage0–13-0.1033%18 Jan
inferno8–13-0.0311%16 Jan
ancient5–13-0.0420%16 Jan
mirage7–13-0.0410%15 Jan
overpass4–13-0.1014%14 Jan
inferno13–20.0314%13 Jan
mirage13–20.0213%13 Jan
ancient11–13-0.0113%13 Jan
inferno13–10-0.048%13 Jan
dust213–90.0513%13 Jan
ancient10–13-0.0511%13 Jan
nuke12–160.0212%12 Jan
dust210–13-0.004%12 Jan
ancient7–13-0.0711%12 Jan
inferno4–130.0123%12 Jan
mirage1–13-0.059%11 Jan
nuke13–100.018%11 Jan
nuke13–40.0050%11 Jan
dust26–13-0.0416%11 Jan
mirage13–1-0.0433%11 Jan
dust27–130.006%11 Jan
nuke13–70.078%11 Jan
overpass13–100.0020%11 Jan
mirage13–6-0.028%11 Jan
overpass16–140.0219%9 Jan
mirage3–13-0.047%9 Jan
mirage10–13-0.0120%9 Jan
overpass13–11-0.0015%8 Jan
dust213–5-0.025%7 Jan
ancient4–13-0.0724%7 Jan
inferno3–13-0.0213%7 Jan
ancient13–2-0.0521%7 Jan
nuke13–10-0.0515%7 Jan
dust26–00.0517%7 Jan
dust212–120.0212%7 Jan
ancient13–4-0.0111%6 Jan
nuke11–130.0320%6 Jan
nuke13–6-0.0617%6 Jan
train13–40.0315%6 Jan
mirage5–13-0.0116%6 Jan
ancient16–14-0.0013%6 Jan
nuke10–13-0.1521%5 Jan
inferno7–130.0325%5 Jan
train13–9-0.0032%5 Jan
overpass7–13-0.0511%5 Jan
inferno9–130.0121%5 Jan
nuke13–80.0124%5 Jan
ancient13–70.0219%22 Dec
inferno8–13-0.0314%22 Dec
train7–130.0229%22 Dec
nuke13–80.0211%21 Dec
train13–60.0324%18 Dec
train5–13-0.0521%17 Dec
inferno13–70.0215%17 Dec
dust29–13-0.0314%17 Dec
ancient11–13-0.0316%17 Dec
mirage7–13-0.0314%16 Dec
inferno5–13-0.1023%16 Dec
mirage9–130.0215%15 Dec
dust28–130.0114%15 Dec
nuke13–4-0.0322%14 Dec
inferno16–13-0.0713%14 Dec
ancient13–10-0.0015%14 Dec
mirage12–16-0.0410%14 Dec
nuke13–90.0614%14 Dec
inferno11–13-0.0314%14 Dec
mirage13–9-0.1013%14 Dec
nuke11–13-0.0311%12 Dec
ancient13–90.0815%12 Dec
overpass6–13-0.087%12 Dec
ancient13–9-0.0719%11 Dec
dust28–13-0.0718%10 Dec
train8–13-0.0911%10 Dec
mirage7–13-0.059%10 Dec
mirage13–90.0114%10 Dec
inferno13–11-0.0135%10 Dec
nuke13–7-0.0517%9 Dec

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →