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LxnxEroxdrxch — CS2 Stats

76561199506433942[U:1:1546168214]

659Tracked matches72%Win rate2023Tracked since
CSDB Rating6.8 SolidAggressive Rifler
Premier CS Rating24,582Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)
CSDB Leaderboard#4598 of 29226 tracked
FaceitLevel 7 · 1,458 ELOTop 42.3% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGLxnxEroxdrxchFACEITLevel 7 · 1,458 ELOSTANDINGTop 42.3% of rankedPREMIER24,582 · Pink bandcsdb.gg/stats

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Performance scores

Aim75
Positioning61
Utility64

0–100 skill scores via Leetify.

Recent form

HOT75–22–3Last 10075%Win rateWWWLWWWWWW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.5
Aggression9.5
Utility6.4
Positioning6.1
Opening Duels4.0
Clutch4.8

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

device

Plays most like device 94% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Reaction time. 591ms 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

Aim7.5
Positioning6.1
Utility6.4
Mechanics5.8
Opening Duels4.0
Win Impact10.0

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05−0.03
first ⅓ avg 0.08 → last ⅓ avg 0.05
Reaction time601ms+88ms
first ⅓ avg 513ms → last ⅓ avg 601ms
Headshot accuracy26.3%+2.5%
first ⅓ avg 23.8% → last ⅓ avg 26.3%

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 — dust2 13–2
13–0Biggest win — mirage
10Longest win streak
W3Current streak
3–2In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 100% over 9dust2Weakest map · 57% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA3220–1263%0.06
nukeS1713–476%0.07
ancientS1411–379%0.07
infernoS99–0100%0.05
dust2A74–357%0.10
overpassS66–0100%0.04
cache—44–0100%0.01
anubis—43–175%0.05
vertigo—33–0100%0.02
train—32–167%0.10
palacio—10–10%-0.13

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (57% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

154Matches
53%Win rate
1.27Avg K/D
90.6ADR
50%Headshot %

Clutches & streaks

44%1v1 clutch win
31%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4949%1.3316.4
Dust22250%1.1117.9
Nuke2070%1.5118.2
Ancient1753%1.1716.0
Anubis1656%1.1815.4
Vertigo1443%1.2517.6
Inferno1155%1.1918.0
Train3100%1.8320.7

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
33.8%Accuracy (enemy spotted)
33.4%Spray accuracy
76.3%Counter-strafing
8.4°Preaim
591msReaction time
41.6%T opening success
50.2%CT opening success
0.61Enemies flashed / flash
4.9%Flash assists
8.53HE damage / grenade
12.85Flashes / match

Recent matches

MapScoreRatingHS%Date
cache13–80.0614%13 May →
mirage6–00.1460%13 May →
nuke13–100.0414%11 May →
dust20–13-0.1038%11 May →
cache13–110.0313%8 May →
nuke13–10.0446%7 May →
nuke13–90.0638%4 May →
cache13–2-0.0313%4 May →
nuke13–80.2216%3 May →
cache13–7-0.0118%30 Apr →
vertigo9–6-0.0531%9 Apr →
mirage8–130.0330%3 Apr →
nuke10–80.0734%1 Apr →
mirage11–130.0024%1 Apr →
dust213–20.2424%21 Mar →
mirage13–3-0.0110%21 Mar →
nuke7–130.0222%21 Mar →
mirage4–13-0.0119%20 Mar →
mirage0–13-0.0635%19 Mar →
nuke6–130.0430%20 Feb →
ancient14–160.0024%13 Feb →
vertigo13–100.0227%12 Feb →
mirage11–10.0932%6 Feb →
ancient13–30.0818%3 Feb →
nuke13–60.2229%3 Feb →
anubis13–60.0430%2 Feb →
train13–6-0.0019%2 Feb →
inferno9–30.0726%2 Feb →
ancient13–60.1224%2 Feb →
nuke12–120.0426%2 Feb →
inferno13–90.0216%1 Feb →
inferno13–10.0860%31 Jan →
nuke13–10.1110%31 Jan →
overpass13–40.1319%31 Jan →
vertigo13–40.1016%31 Jan →
dust213–70.0724%31 Jan →
anubis4–13-0.0524%31 Jan →
inferno13–80.0716%30 Jan →
ancient8–10.1618%30 Jan →
mirage13–40.1134%30 Jan →
mirage13–90.1025%29 Jan →
mirage13–70.0814%29 Jan →
mirage6–130.0228%28 Jan →
inferno13–2-0.0120%28 Jan →
mirage13–50.0834%27 Jan →
inferno13–40.0427%27 Jan →
mirage13–00.0314%27 Jan →
dust210–130.0319%25 Jan →
mirage12–160.0429%24 Jan →
ancient13–5-0.0128%24 Jan →
nuke2–13-0.120%24 Jan →
nuke13–8-0.0021%24 Jan →
ancient3–130.0719%23 Jan →
inferno13–70.0732%22 Jan →
nuke13–90.1521%22 Jan →
anubis13–20.0137%22 Jan →
mirage13–100.0320%22 Jan →
ancient13–30.1613%22 Jan →
ancient4–13-0.0424%21 Jan →
ancient13–8-0.0210%21 Jan →
dust24–130.0123%20 Jan →
ancient13–30.0818%18 Jan →
dust213–20.2239%18 Jan →
inferno13–40.0227%18 Jan →
mirage3–13-0.0437%18 Jan →
inferno13–60.1027%17 Jan →
mirage11–20.1543%17 Jan →
mirage12–120.0716%17 Jan →
ancient13–30.0617%16 Jan →
mirage13–100.0728%16 Jan →
overpass13–60.0716%14 Jan →
overpass8–20.030%12 Jan →
overpass4–1-0.10100%12 Jan →
overpass5–20.0523%12 Jan →
palacio12–12-0.130%11 Jan →
overpass13–50.0825%11 Jan →
nuke13–50.1228%10 Jan →
nuke6–20.0613%10 Jan →
dust213–70.2029%10 Jan →
mirage4–130.028%10 Jan →
mirage13–110.1322%9 Jan →
mirage13–50.1219%9 Jan →
mirage13–90.0115%9 Jan →
mirage13–10-0.0112%8 Jan →
mirage13–100.1018%8 Jan →
train4–130.1222%7 Jan →
train13–80.1927%6 Jan →
mirage3–13-0.0367%6 Jan →
mirage13–50.0415%6 Jan →
mirage13–20.1826%6 Jan →
mirage13–20.1028%6 Jan →
ancient13–70.1023%6 Jan →
ancient13–70.0819%6 Jan →
nuke13–60.1112%6 Jan →
nuke13–40.0936%6 Jan →
mirage13–30.1327%6 Jan →
anubis13–50.1931%6 Jan →
ancient13–80.1515%6 Jan →
mirage4–90.1332%5 Jan →
mirage4–120.0816%5 Jan →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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