louro — CS2 Stats

76561198194510361[U:1:234244633]✓ No bans

2,011Tracked matches63%Win rate2020Tracked since
CSDB Rating7.3 StrongAggressive Rifler
Premier CS Rating26,094Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#2142 of 23502 tracked
FaceitLevel 10 · 3,027 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGlouroFACEITLevel 10 · 3,027 ELOSTANDINGTop 12.4% of rankedPREMIER26,094 · Red bandcsdb.gg/stats

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Performance scores

Aim79
Positioning66
Utility60

0–100 skill scores via Leetify.

Recent form

HOT58393Last 10058%Win rateWWLWWWWWLL

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

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.9
Aggression7.2
Utility6.0
Positioning6.6
Opening Duels3.1
Clutch3.4

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

b1t

Plays most like b1t 96% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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 52% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms 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

Aim7.9
Positioning6.6
Utility6.0
Mechanics7.2
Opening Duels3.1
Win Impact9.4

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.05
first ⅓ avg 0.08 → last ⅓ avg 0.02
Reaction time607ms+42ms
first ⅓ avg 565ms → last ⅓ avg 607ms
Headshot accuracy23.6%−0.2%
first ⅓ avg 23.8% → last ⅓ avg 23.6%

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

0.23Best rating — dust2 13–1
130Biggest win — dust2
9Longest win streak
W2Current streak
79In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 67% over 15infernoWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A25141156%0.05
ancientA22121055%0.01
mirageS1711665%0.05
anubisS1510567%0.04
infernoC125742%0.05
vertigo330100%0.10
nuke21150%0.07
train21150%-0.01
overpass1010%-0.09
thera110100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,076Matches
58%Win rate
1.36Avg K/D
81.9ADR
40%Headshot %

Clutches & streaks

37%1v1 clutch win
24%1v2 clutch win
18Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient32156%1.2816.8
Anubis27458%1.3017.6
Dust218652%1.3117.1
Inferno14860%1.3717.1
Mirage11846%1.1116.8
Vertigo8752%1.2416.8
Nuke6862%1.2117.1
Overpass3043%1.2117.0

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.

24.4%Headshot accuracy
36.1%Accuracy (enemy spotted)
36.1%Spray accuracy
82.5%Counter-strafing
9.2°Preaim
610msReaction time
33.0%T opening success
51.6%CT opening success
0.64Enemies flashed / flash
9.2%Flash assists
8.32HE damage / grenade
12.06Flashes / 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 33.0189% — 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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–110.0317%3 Apr
ancient13–90.0121%3 Apr
mirage14–160.0219%3 Apr
dust213–80.0237%29 Mar
mirage13–7-0.0133%29 Mar
ancient13–80.0222%29 Mar
nuke13–70.0725%29 Mar
anubis13–110.0126%29 Mar
ancient8–130.0121%29 Mar
anubis1–2-0.070%14 Mar
dust212–16-0.0126%4 Mar
ancient13–50.0618%14 Feb
ancient13–110.0016%14 Feb
dust213–7-0.0233%10 Feb
ancient13–70.0220%8 Feb
inferno11–13-0.0032%8 Feb
inferno13–60.0933%8 Feb
ancient13–20.0537%6 Feb
dust27–13-0.0026%5 Feb
anubis13–30.2039%1 Feb
dust211–20.0617%1 Feb
mirage13–70.0721%1 Feb
mirage6–130.0319%1 Feb
anubis13–60.0921%1 Feb
ancient4–13-0.0426%16 Jan
overpass4–13-0.0917%16 Jan
inferno13–60.1222%15 Jan
ancient13–6-0.067%15 Jan
inferno11–130.0229%15 Jan
dust29–13-0.0137%14 Jan
inferno8–130.0021%13 Jan
anubis13–100.0220%13 Jan
inferno13–90.0420%13 Jan
anubis12–120.0524%10 Jan
ancient12–16-0.0324%10 Jan
dust26–130.0322%7 Jan
train16–14-0.0128%3 Jan
mirage13–90.0426%5 Dec
ancient13–20.0415%5 Dec
nuke10–130.0722%1 Dec
mirage13–60.0815%30 Nov
ancient5–130.0829%30 Nov
dust213–00.1636%3 Oct
dust213–40.0519%18 Aug
inferno6–130.0018%8 Aug
ancient9–13-0.0217%4 Aug
dust213–110.0321%3 Aug
ancient11–13-0.0322%1 Aug
mirage13–60.1426%29 Jul
mirage13–4-0.016%18 Jul
mirage14–16-0.0825%16 Jul
mirage13–160.0426%11 Jul
dust210–120.0021%25 Jun
ancient16–130.0429%3 Jun
dust213–100.0218%2 Jun
ancient10–13-0.0313%2 Jun
anubis16–190.0018%30 May
dust28–13-0.0229%29 Apr
anubis4–13-0.0227%13 Apr
mirage13–90.0019%5 Apr
anubis13–80.0616%5 Apr
dust210–130.0120%4 Apr
ancient13–70.0126%3 Apr
train10–130.0035%2 Apr
dust27–130.0516%1 Apr
ancient11–130.0217%23 Mar
inferno13–90.0217%17 Mar
inferno4–13-0.0321%15 Mar
ancient13–50.0310%10 Mar
inferno13–160.0517%9 Mar
anubis13–4-0.0218%15 Feb
ancient11–130.0721%24 Oct
anubis13–110.0430%17 Oct
anubis13–80.1022%5 Oct
dust29–130.1019%5 Oct
mirage13–20.1050%27 Sept
anubis13–50.1021%26 Sept
dust213–00.0526%26 Sept
mirage13–70.0526%24 Sept
thera13–60.0526%24 Sept
anubis13–100.0711%22 Sept
ancient13–11-0.0523%22 Sept
vertigo13–60.0918%21 Sept
vertigo13–60.1221%20 Sept
mirage12–120.1518%20 Sept
inferno12–120.1520%17 Sept
dust213–60.1531%17 Sept
inferno13–50.1428%17 Sept
mirage13–30.1117%16 Sept
dust28–13-0.0126%16 Sept
vertigo13–20.1040%16 Sept
dust213–70.1223%16 Sept
dust213–70.1132%16 Sept
mirage13–30.1929%16 Sept
dust213–60.1127%15 Sept
anubis2–130.0112%15 Sept
mirage4–130.0124%15 Sept
dust213–10.2330%10 Sept
dust26–130.0731%10 Sept
ancient3–13-0.0417%10 Sept

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →