Luckster

Luckster — CS2 Stats

CY76561197995177228[U:1:34911500]Steam profile ↗✓ No bans

1,710Tracked matches37%Win rate2020Tracked since
CSDB Rating5.3 DevelopingHybrid Rifler
FaceitLevel 9 · 1,674 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

Share this profile

CSDB.GGLucksterFACEITLevel 9 · 1,674 ELOSTANDINGTop 20.7% 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

Aim81
Positioning52
Utility49

0–100 skill scores via Leetify.

Recent form

COLD52453Last 10052%Win rateLLLLLLLWWW

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.1
Aggression6.0
Utility4.9
Positioning5.2
Opening Duels1.7
Clutch3.0

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

Twistzz

Plays most like Twistzz 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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. 564ms 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

Aim8.1
Positioning5.2
Utility4.9
Mechanics7.3
Opening Duels1.7
Win Impact0.6

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.03
first ⅓ avg 0.02 → last ⅓ avg 0.05
Reaction time560ms−64ms
first ⅓ avg 624ms → last ⅓ avg 560ms
Headshot accuracy23.2%+3.6%
first ⅓ avg 19.6% → last ⅓ avg 23.2%

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

0.26Best rating — anubis 10–0
130Biggest win — cache
7Longest win streak
L7Current streak
68In matches decided by ≤2 rounds
16Overtime games

Map breakdown

nukeBest map · 71% over 7infernoWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB26121446%0.02
dust2A1911858%0.02
infernoC146843%0.03
anubisA148657%0.04
cacheB115645%0.06
nukeS75271%0.06
ancientS64267%0.02
overpass31233%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

326Matches
55%Win rate
1.40Avg K/D
87.4ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
27%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust28259%1.4419.6
Mirage7951%1.3419.1
Inferno6659%1.4517.8
Ancient2552%1.2117.8
Anubis2442%1.3517.8
Nuke2462%1.4120.2
Cache1759%1.6220.2
Overpass714%1.1117.1

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.

22.3%Headshot accuracy
37.1%Accuracy (enemy spotted)
33.8%Spray accuracy
82.7%Counter-strafing
9.1°Preaim
564msReaction time
31.1%T opening success
42.8%CT opening success
0.57Enemies flashed / flash
3.6%Flash assists
9.29HE damage / grenade
5.77Flashes / 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 31.1368% — below the 40% mark we flag

Spend your practice time on Inferno

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0529%26 Aug
cache8–130.1442%26 Aug
ancient8–130.1131%23 Aug
dust210–130.0127%15 Aug
inferno8–13-0.0329%15 Aug
dust23–130.0127%15 Aug
nuke7–130.0519%15 Aug
nuke16–140.0727%14 Aug
cache13–00.1440%10 Aug
mirage13–40.0713%10 Aug
dust28–130.1238%10 Aug
dust213–70.0435%10 Aug
inferno11–130.0312%10 Aug
cache13–60.0122%9 Aug
dust219–15-0.0115%9 Aug
anubis11–13-0.0013%28 Jul
anubis7–130.0510%28 Jul
anubis10–130.0122%25 Jul
cache9–130.0527%25 Jul
mirage9–13-0.0416%24 Jul
anubis10–00.2644%24 Jul
inferno3–130.0019%24 Jul
nuke13–100.0921%24 Jul
inferno8–13-0.0314%20 Jul
mirage8–13-0.088%19 Jul
mirage13–40.0427%18 Jul
mirage11–130.0826%18 Jul
inferno20–220.0719%18 Jul
mirage13–80.037%18 Jul
anubis13–40.2215%18 Jul
inferno13–60.1730%18 Jul
dust219–17-0.0122%18 Jul
ancient13–10-0.0422%17 Jul
mirage16–14-0.0215%17 Jul
nuke13–100.0817%17 Jul
inferno8–130.0621%17 Jul
anubis13–70.1021%15 Jul
mirage9–130.0027%13 Jul
cache11–130.0524%12 Jul
anubis8–13-0.0022%12 Jul
mirage22–250.0727%11 Jul
mirage13–30.0512%10 Jul
cache13–10.0625%10 Jul
cache13–70.1516%10 Jul
ancient9–130.0133%4 Jul
ancient13–20.0118%4 Jul
overpass16–19-0.069%4 Jul
dust213–8-0.0213%4 Jul
nuke13–110.0419%4 Jul
anubis13–90.0121%3 Jul
mirage15–150.0327%3 Jul
mirage11–130.0427%3 Jul
anubis16–14-0.0121%29 Jun
mirage12–16-0.0119%29 Jun
dust210–130.0519%27 Jun
dust213–16-0.0021%20 Jun
dust210–13-0.0026%20 Jun
mirage13–70.0320%20 Jun
mirage13–6-0.0115%19 Jun
dust213–50.0023%19 Jun
cache13–160.0716%19 Jun
ancient13–70.0323%15 Jun
inferno13–50.0421%15 Jun
cache13–11-0.0316%13 Jun
mirage10–130.0217%12 Jun
overpass9–130.0125%12 Jun
dust213–40.1013%6 Jun
inferno12–160.0011%5 Jun
dust215–150.0116%5 Jun
inferno13–50.0512%25 May
cache10–130.0414%22 May
nuke12–120.0722%22 May
dust213–4-0.0222%22 May
anubis8–20.0411%22 May
ancient13–50.0325%22 May
mirage13–80.0526%22 May
anubis8–13-0.0516%22 May
inferno13–40.0525%20 May
anubis13–80.000%18 May
overpass13–30.107%16 May
mirage13–30.1124%16 May
inferno13–40.0919%16 May
anubis6–130.0230%16 May
dust213–70.0723%16 May
dust213–100.0725%10 May
mirage13–60.0618%9 May
mirage10–13-0.0423%9 May
nuke13–2-0.0113%9 May
dust213–7-0.0021%2 May
mirage13–00.0426%2 May
mirage16–120.0426%26 Apr
cache11–13-0.0213%23 Apr
mirage14–16-0.0019%22 Apr
mirage10–13-0.0914%21 Apr
inferno2–13-0.0825%21 Apr
inferno13–50.0341%20 Apr
dust213–80.0429%20 Apr
dust22–13-0.0413%19 Apr
mirage10–130.0021%19 Apr
anubis13–10-0.0418%19 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 →