Lucky Luciano

Lucky Luciano — CS2 Stats

LV76561197985838365[U:1:25572637]Steam profile ↗✓ No bans

3,605Tracked matches50%Win rate2020Tracked since
3,541Hours in CS0Hrs last 2 wks
CSDB Rating3.5 LearningSupport
FaceitLevel 6 · 1,235 ELOTop 54.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,235 → 1,235
+21Tracked matches · now 3,605
0.0ppWin rate · 50.0% → 50.0%

Rating over time

1,235Highest Faceit ELO seen on CSDB
59Days played since 2026-05-20

Faceit ELO

  • At peak — 1,235
  • Next: Level 7 at 1,351 — 116 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-13
  • Level 5 first seen 2026-09-13

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate27.3%44.8%45.7%18.4% short
Shot accuracy7.7%12.4%12.7%5.0% short
Kill/death ratio0.741.031.050.31 short
Match win rate44.5%45.2%45.7%1.2% short

This profile sits below the typical Level 7 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLucky LucianoFACEITLevel 6 · 1,235 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,235csdb.gg/stats

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Performance scores

Aim38
Positioning43
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY60–40Last 10060%Win rateWLWWLLWLLW

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · +4.1pp headshot accuracy · −10ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 548ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 525ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 530ms

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 (+1.9 against its own average).

Aim3.8
Utility4.8
Positioning4.3
Opening Duels0.4
Clutch2.2

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

iM

Plays most like iM 69% 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 43% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 64% 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

Aim3.8
Positioning4.3
Utility4.8
Mechanics3.2
Opening Duels1.6
Win Impact5.0

Composite 3.5/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time547ms−11ms
first ⅓ avg 559ms → last ⅓ avg 547ms
Headshot accuracy11.0%−3.6%
first ⅓ avg 14.6% → last ⅓ avg 11.0%

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

0.08Best match rating · 13–8 · dust2, 30 Jun →
33%Best headshot accuracy · 13–7 · cache, 27 Jul →
375msFastest reaction time · 2–13 · inferno, 29 Aug →
13–1Biggest win · dust2, 17 Jun →

Across the last 100 tracked matches.

Highlights

9Longest win streak
13–13In matches decided by ≤2 rounds
16Overtime games

Map breakdown

cacheBest map · 78% over 9ancientWeakest map · 52% over 21
MapGradePlayedRecordWin rateAvg rating
dust2S2919–1066%-0.02
ancientB2111–1052%-0.03
infernoA1911–858%-0.03
nukeA138–562%-0.04
cacheS97–278%-0.04
mirage—42–250%-0.02
anubis—32–167%-0.03
vertigo—20–20%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (52% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

70,972Lifetime kills
0.74K/D
4,911Matches
44.5%Match win rate
27.3%Headshot %
7.7%Shot accuracy
9,324MVPs
2,210Hours (in match)
8,757Bombs planted
1,225Bombs defused

Most-used weapons

AWP17,774
AK-4712,289
MAC-102,522
MP91,756
Knife1,719

Lifetime map wins

18,849inferno
10,026dust2
5,581nuke
2,817vertigo
1,135train
511office
28cbble
13italy

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

Faceit stats

Combat

2,145Matches
50%Win rate
0.84Avg K/D
65.4ADR
28%Headshot %

Clutches & streaks

31%1v1 clutch win
14%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust245949%0.8312.5
Inferno35854%0.9013.2
Ancient34350%0.8312.7
Nuke26855%0.8613.3
Anubis23646%0.8112.7
Mirage9440%0.7412.1
Overpass3348%0.8311.6
Vertigo3339%0.7711.6

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.

10.8%Headshot accuracy
30.0%Accuracy (enemy spotted)
31.5%Spray accuracy
64.3%Counter-strafing
10.6°Preaim
543msReaction time
16.4%T opening success
42.8%CT opening success
0.41Enemies flashed / flash
2.6%Flash assists
11.01HE damage / grenade
6.83Flashes / 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 10.7914% — 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 0.4085 — 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 16.3982% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
ancient13–8-0.0815%2 Oct →
nuke5–13-0.074%30 Sept →
nuke13–90.0012%28 Sept →
nuke13–9-0.0514%28 Sept →
ancient11–130.0111%28 Sept →
vertigo9–13-0.0511%16 Sept →
dust213–10-0.0111%16 Sept →
inferno2–13-0.089%29 Aug →
dust210–13-0.0710%29 Aug →
ancient13–5-0.0215%20 Aug →
dust211–130.015%20 Aug →
dust213–70.0217%20 Aug →
dust213–11-0.026%19 Aug →
inferno13–3-0.005%19 Aug →
ancient10–13-0.018%18 Aug →
ancient13–6-0.025%16 Aug →
dust24–130.016%16 Aug →
inferno8–13-0.0513%12 Aug →
cache5–13-0.053%12 Aug →
inferno13–10-0.053%11 Aug →
vertigo4–13-0.0511%8 Aug →
inferno3–13-0.0118%3 Aug →
ancient14–16-0.0714%2 Aug →
nuke8–13-0.0713%2 Aug →
ancient13–80.0316%2 Aug →
inferno13–9-0.0714%28 Jul →
anubis13–7-0.047%28 Jul →
dust26–13-0.087%27 Jul →
cache13–7-0.0433%27 Jul →
dust213–9-0.058%26 Jul →
dust216–140.0110%26 Jul →
dust216–12-0.0615%23 Jul →
dust27–13-0.0315%22 Jul →
inferno9–13-0.0222%21 Jul →
nuke13–90.0214%21 Jul →
ancient8–13-0.063%21 Jul →
inferno13–70.013%20 Jul →
inferno16–14-0.0611%19 Jul →
nuke8–13-0.1110%19 Jul →
inferno13–4-0.0113%17 Jul →
dust210–130.0117%15 Jul →
inferno7–13-0.0418%15 Jul →
ancient2–13-0.110%15 Jul →
cache13–10-0.059%15 Jul →
ancient10–13-0.046%14 Jul →
dust213–11-0.055%14 Jul →
dust213–6-0.0417%14 Jul →
ancient19–16-0.032%13 Jul →
dust225–23-0.0315%12 Jul →
mirage10–130.005%11 Jul →
dust213–60.0128%11 Jul →
nuke13–5-0.033%8 Jul →
dust216–14-0.0111%7 Jul →
ancient13–10-0.060%7 Jul →
dust213–10-0.048%5 Jul →
ancient13–40.0020%2 Jul →
nuke14–16-0.0418%1 Jul →
ancient13–6-0.028%1 Jul →
mirage13–10-0.077%30 Jun →
dust211–13-0.065%30 Jun →
dust213–80.0817%30 Jun →
cache8–13-0.0512%30 Jun →
inferno11–13-0.0523%29 Jun →
nuke5–13-0.0110%28 Jun →
cache19–16-0.048%28 Jun →
dust213–5-0.038%28 Jun →
ancient13–11-0.0515%27 Jun →
mirage13–110.016%26 Jun →
dust213–11-0.0319%26 Jun →
cache13–10-0.0131%25 Jun →
nuke13–8-0.0218%25 Jun →
dust217–19-0.063%25 Jun →
inferno13–8-0.087%24 Jun →
dust211–13-0.0911%24 Jun →
dust210–130.0116%22 Jun →
ancient16–120.0317%22 Jun →
anubis13–10-0.0120%21 Jun →
nuke13–5-0.075%21 Jun →
inferno14–160.0317%20 Jun →
dust213–3-0.0314%19 Jun →
inferno16–14-0.0517%19 Jun →
dust213–10.017%17 Jun →
dust213–5-0.0013%17 Jun →
inferno19–16-0.0322%17 Jun →
cache16–14-0.0116%16 Jun →
ancient13–10-0.0326%15 Jun →
nuke13–6-0.0013%15 Jun →
dust213–8-0.0124%14 Jun →
ancient11–13-0.017%9 Jun →
anubis9–13-0.0432%9 Jun →
cache13–90.0114%7 Jun →
inferno22–20-0.0411%6 Jun →
ancient11–13-0.056%2 Jun →
inferno6–13-0.0717%31 May →
nuke13–11-0.0113%30 May →
mirage11–13-0.0221%27 May →
ancient7–130.018%26 May →
cache13–9-0.0813%25 May →
inferno13–100.0313%21 May →
ancient11–13-0.046%20 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.