Lloyd

Lloyd — CS2 Stats

76561197976119193[U:1:15853465]Steam profile ↗✓ No bans

458Tracked matches52%Win rate2020Tracked since
CSDB Rating5.4 DevelopingHybrid Rifler
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

Share this profile

CSDB.GGLloydFACEITLevel 4STANDINGTop 81.0% 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

Aim62
Positioning45
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY45505Last 10045%Win rateLWWWLTLWLL

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

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

Aim6.2
Aggression5.2
Utility4.6
Positioning4.5
Opening Duels1.3

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.

Your pro match

NiKo

Plays most like NiKo 85% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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 44% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 668ms 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

Aim6.2
Positioning4.5
Utility4.6
Mechanics8.3
Opening Duels1.7
Win Impact5.6

Composite 5.4/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time676ms−5ms
first ⅓ avg 681ms → last ⅓ avg 676ms
Headshot accuracy18.8%−3.1%
first ⅓ avg 21.9% → last ⅓ avg 18.8%

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

0.12Best rating — overpass 16–12
130Biggest win — nuke
4Longest win streak
97In matches decided by ≤2 rounds
16Overtime games

Map breakdown

overpassBest map · 64% over 11ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B21101148%0.02
nukeA1710759%0.02
infernoC1761135%-0.01
mirageD113827%-0.01
overpassA117464%0.01
ancientD82625%-0.00
cacheC73443%-0.00
anubisC52340%0.03
train32167%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.7%Headshot accuracy
32.5%Accuracy (enemy spotted)
35.5%Spray accuracy
87.4%Counter-strafing
10.5°Preaim
668msReaction time
27.1%T opening success
43.6%CT opening success
0.46Enemies flashed / flash
2.2%Flash assists
5.95HE damage / grenade
9.31Flashes / 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 0.4604 — 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 27.1308% — below the 40% mark we flag

Spend your practice time on Ancient

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke9–130.0116%20 Aug
cache13–60.0210%20 Aug
mirage13–90.0818%20 Aug
dust213–90.0022%13 Aug
inferno4–13-0.0111%13 Aug
ancient15–150.029%13 Aug
cache10–13-0.0127%6 Aug
dust213–30.0720%6 Aug
inferno6–13-0.0316%6 Aug
anubis4–130.0420%6 Aug
nuke13–10.0822%23 Jul
dust213–10-0.0024%23 Jul
cache13–5-0.0025%23 Jul
ancient13–110.0315%16 Jul
inferno9–13-0.0233%16 Jul
cache12–16-0.0218%16 Jul
dust24–13-0.0413%9 Jul
nuke13–100.0227%9 Jul
cache10–13-0.0121%9 Jul
dust214–160.0118%2 Jul
overpass16–13-0.0216%2 Jul
cache10–13-0.015%2 Jul
nuke13–100.0029%4 Jun
dust29–13-0.0219%4 Jun
anubis13–110.1111%4 Jun
dust213–80.0111%28 May
inferno13–10-0.0219%28 May
dust216–130.0016%21 May
mirage5–130.0133%21 May
inferno7–13-0.0225%21 May
cache13–5-0.0121%21 May
dust24–130.0319%14 May
overpass15–15-0.0411%14 May
nuke8–130.0129%14 May
inferno13–8-0.0311%9 Apr
dust213–110.0321%9 Apr
nuke4–13-0.0125%9 Apr
anubis9–3-0.0117%9 Apr
dust211–130.0228%26 Mar
inferno9–130.0229%26 Mar
anubis10–130.0224%26 Mar
nuke13–60.0321%26 Mar
inferno3–13-0.0328%12 Mar
mirage1–13-0.0736%12 Mar
overpass12–60.0411%12 Mar
dust213–80.0737%29 Jan
inferno15–150.0426%29 Jan
overpass13–160.017%29 Jan
nuke7–130.0122%8 Jan
mirage13–70.0416%8 Jan
overpass16–140.0319%8 Jan
nuke13–50.0625%4 Dec
train13–40.0442%4 Dec
dust213–160.0424%25 Nov
inferno10–13-0.0522%25 Nov
mirage9–13-0.0219%2 Sept
nuke5–13-0.0216%2 Sept
inferno13–11-0.0628%2 Sept
overpass11–13-0.0830%26 Aug
nuke13–40.0527%26 Aug
mirage11–130.0312%26 Aug
dust213–40.0317%26 Aug
nuke10–130.0224%21 Aug
inferno13–110.0020%21 Aug
dust27–13-0.0325%21 Aug
overpass13–80.0220%21 Aug
inferno9–13-0.0418%31 Jul
dust216–130.0428%31 Jul
mirage8–13-0.067%31 Jul
inferno16–13-0.0229%29 Jul
overpass8–13-0.0720%29 Jul
ancient13–11-0.0227%29 Jul
ancient4–13-0.0227%24 Jul
overpass13–110.0413%24 Jul
dust24–130.0120%24 Jul
ancient9–13-0.0020%22 Jul
nuke13–00.0627%22 Jul
overpass16–120.1220%22 Jul
overpass13–20.0123%17 Jul
dust211–13-0.0127%17 Jul
nuke13–60.0115%17 Jul
train13–8-0.0022%10 Jul
nuke13–90.0933%10 Jul
mirage4–13-0.1115%10 Jul
mirage11–130.0620%3 Jul
dust27–13-0.006%3 Jul
inferno6–130.0529%3 Jul
ancient8–13-0.0023%3 Jul
ancient11–130.0317%19 Jun
mirage15–15-0.0227%19 Jun
nuke13–90.0224%19 Jun
train12–16-0.0521%12 Jun
dust213–70.1024%12 Jun
inferno13–40.0530%12 Jun
ancient7–13-0.0427%12 Jun
mirage13–11-0.0219%3 Jun
anubis10–13-0.0124%3 Jun
inferno4–13-0.0121%3 Jun
dust215–150.0417%29 May
nuke1–13-0.0621%29 May

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 →