luro — CS2 Stats

76561197975991149[U:1:15725421]

589Tracked matches37%Win rate2020Tracked since
CSDB Rating5.7 SolidHybrid Rifler
Premier CS Rating12,375Blue band · top ~42.3% of ranked players (population est.)
CSDB Leaderboard#21854 of 31694 tracked
Ladder ranks via Leetify

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CSDB.GGluroPREMIER12,375 · Blue bandcsdb.gg/stats

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Performance scores

Aim80
Positioning55
Utility57

0–100 skill scores via Leetify.

Recent form

COLD39556Last 10039%Win rateLWLLWLLWLL

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

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

Aim8.0
Aggression5.7
Utility5.7
Positioning5.5
Opening Duels3.2

Strong CT-side openerLimited 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.

Your pro match

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower aim profile; 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

T-side openings. Opening success drops from 52% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 637ms 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

Aim8.0
Positioning5.5
Utility5.7
Mechanics8.1
Opening Duels3.2
Win Impact0.6

Composite 5.7/10 (Solid), 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 rating0.02−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time636ms−37ms
first ⅓ avg 673ms → last ⅓ avg 636ms
Headshot accuracy20.6%+0.7%
first ⅓ avg 19.9% → last ⅓ avg 20.6%

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

0.24Best rating — italy 13–2
132Biggest win — italy
8Longest win streak
71In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 63% over 8cacheWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB189950%0.01
dust2B158753%0.00
italyD113827%0.06
anubisD82625%0.03
ancientA85363%0.03
cacheD81713%-0.00
trainB84450%0.05
nukeC73443%0.04
edin42250%0.08
inferno2020%0.00
grail2020%-0.01
fachwerk1010%-0.01
shelter110100%0.02
boulder1010%-0.01
alpine1010%-0.07
stronghold1010%-0.05
palacio1010%0.07
golden1010%-0.02
jura1010%0.03
basalt110100%0.03

Across the last 100 tracked matches.

Skill profile

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

20.8%Headshot accuracy
37.7%Accuracy (enemy spotted)
41.8%Spray accuracy
86.6%Counter-strafing
9.7°Preaim
637msReaction time
33.6%T opening success
52.1%CT opening success
0.62Enemies flashed / flash
11.9%Flash assists
17.60HE damage / grenade
4.92Flashes / 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 33.5843% — below the 40% mark we flag

Spend your practice time on Cache

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
anubis8–13-0.0220%25 Aug
mirage13–60.098%25 Aug
dust20–13-0.065%25 Aug
ancient6–13-0.0322%25 Aug
cache16–130.0018%22 Aug
dust210–130.0319%22 Aug
cache4–13-0.0015%22 Aug
dust216–140.0413%22 Aug
dust210–13-0.0636%17 Aug
mirage3–130.0152%17 Aug
dust22–13-0.007%17 Aug
ancient13–110.1123%17 Aug
nuke10–13-0.0128%17 Aug
anubis4–13-0.0827%16 Aug
cache10–130.0225%14 Aug
anubis13–40.1117%14 Aug
nuke2–130.0224%14 Aug
mirage1–13-0.0437%14 Aug
dust21–13-0.0733%14 Aug
ancient13–4-0.0525%14 Aug
cache2–130.0321%14 Aug
cache3–13-0.0523%13 Aug
dust216–140.0220%13 Aug
nuke13–90.0628%13 Aug
mirage4–13-0.0331%13 Aug
ancient8–10.1119%13 Aug
ancient13–100.0710%12 Aug
cache8–130.049%12 Aug
anubis11–130.088%12 Aug
dust213–80.1012%12 Aug
mirage13–70.1011%11 Aug
ancient8–130.0218%11 Aug
nuke2–13-0.0312%11 Aug
dust24–13-0.0416%11 Aug
inferno10–13-0.009%10 Aug
nuke13–50.1517%10 Aug
fachwerk12–12-0.0113%8 Aug
cache2–13-0.0417%8 Aug
shelter13–110.0222%8 Aug
boulder9–13-0.0119%8 Aug
cache10–13-0.0228%15 May
alpine5–13-0.074%24 Jan
stronghold4–13-0.058%24 Jan
mirage9–13-0.0219%10 Jan
dust213–70.0420%4 Jan
dust216–14-0.0115%4 Jan
mirage13–8-0.049%4 Jan
mirage13–60.119%4 Jan
mirage6–13-0.0617%4 Jan
mirage1–13-0.1216%4 Jan
mirage13–70.0416%4 Jan
mirage13–10-0.0327%3 Jan
mirage13–80.019%3 Jan
mirage16–130.0415%2 Jan
mirage13–100.0317%31 Dec
dust213–4-0.0515%18 Dec
nuke16–130.0423%5 Oct
train13–60.2118%4 Oct
palacio8–130.0715%4 Oct
golden6–13-0.0210%4 Oct
nuke10–130.0525%19 Sept
italy12–120.1114%30 Aug
dust29–8-0.0325%30 Aug
italy6–130.058%23 Aug
anubis9–130.0318%21 Aug
italy9–13-0.0317%27 Jul
inferno7–130.0017%27 Jul
mirage12–120.0119%29 Jun
italy13–30.0439%21 Jun
italy4–130.0018%21 Jun
grail6–13-0.0419%21 Jun
anubis5–130.0423%21 Jun
italy12–120.1020%15 Jun
grail8–130.0118%8 Jun
jura12–120.0318%8 Jun
train13–40.079%8 Jun
train5–130.0221%22 Dec
mirage8–130.0826%21 Dec
dust213–90.1418%21 Dec
edin8–130.0221%14 Dec
italy3–130.0312%14 Dec
train1–13-0.0426%14 Dec
anubis12–50.1426%1 Dec
ancient12–120.0728%1 Dec
train13–50.1219%1 Dec
italy6–130.0413%23 Nov
edin13–70.1324%23 Nov
anubis5–13-0.049%23 Nov
train10–130.0315%23 Nov
mirage7–13-0.088%17 Nov
italy13–20.2426%17 Nov
italy13–70.1418%17 Nov
train8–3-0.0225%17 Nov
edin5–130.0523%17 Nov
ancient5–1-0.047%17 Nov
dust24–130.0326%17 Nov
edin13–110.1129%16 Nov
train8–13-0.0118%16 Nov
italy10–13-0.0118%16 Nov
basalt13–90.0317%15 Nov

Match data via Leetify.

Recent teammates

Milestones

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