LN

LN — CS2 Stats

AU76561197972253104[U:1:11987376]Steam profile ↗✓ No bans

463Tracked matches83%Win rate2020Tracked since
CSDB Rating7.1 StrongAggressive Rifler
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGLNFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning61
Utility68

0–100 skill scores via Leetify.

Recent form

HOT67267Last 10067%Win rateWWWWWWLWWL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

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

Aim8.1
Aggression9.7
Utility6.8
Positioning6.1
Opening Duels4.0

Effective flashes

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 95% 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

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 559ms 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
Positioning6.1
Utility6.8
Mechanics6.9
Opening Duels4.0
Win Impact10.0

Composite 7.1/10 (Strong), 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 rating0.07+0.02
first ⅓ avg 0.05 → last ⅓ avg 0.07
Reaction time553ms−10ms
first ⅓ avg 563ms → last ⅓ avg 553ms
Headshot accuracy18.3%−0.6%
first ⅓ avg 18.9% → last ⅓ avg 18.3%

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

0.25Best rating — overpass 13–4
130Biggest win — nuke
7Longest win streak
W6Current streak
117In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 92% over 13mirageWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2S3223972%0.08
cacheA2012860%0.05
infernoA138562%0.05
nukeS1312192%0.06
mirageC125742%0.01
overpass330100%0.14
ancient2020%0.01
fachwerk110100%0.08
boulder110100%0.10
office110100%0.16
train110100%0.10
anubis1010%-0.04

Across the last 100 tracked matches.

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

Faceit stats

Combat

60Matches
58%Win rate
1.71Avg K/D
ADR
40%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWL

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.

18.2%Headshot accuracy
40.0%Accuracy (enemy spotted)
40.3%Spray accuracy
81.0%Counter-strafing
10.1°Preaim
559msReaction time
40.0%T opening success
52.3%CT opening success
0.71Enemies flashed / flash
12.5%Flash assists
13.81HE damage / grenade
6.80Flashes / match

Recommended for you

Spend your practice time on Mirage

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.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–80.0419%8 Aug
nuke13–80.0419%8 Aug
dust213–10.0713%7 Aug
nuke13–110.0514%7 Aug
overpass13–40.2513%6 Aug
inferno13–40.078%6 Aug
mirage9–130.0318%3 Aug
cache13–60.0526%3 Aug
nuke13–80.1819%31 Jul
mirage11–13-0.0222%27 Jul
dust213–60.0717%26 Jul
nuke13–80.0718%24 Jul
fachwerk13–110.0815%24 Jul
inferno13–30.0622%23 Jul
dust212–120.0416%22 Jul
mirage13–30.0110%22 Jul
mirage13–80.0319%22 Jul
mirage12–20.0924%21 Jul
dust213–110.0625%21 Jul
inferno9–130.0822%20 Jul
dust213–40.0216%20 Jul
dust213–30.1616%20 Jul
mirage9–130.0023%20 Jul
cache13–8-0.0115%19 Jul
inferno8–130.1013%19 Jul
nuke13–70.1021%19 Jul
overpass13–20.0616%19 Jul
boulder13–40.1014%19 Jul
cache13–40.0325%17 Jul
inferno13–20.1129%17 Jul
mirage7–130.0225%16 Jul
inferno10–130.0418%14 Jul
dust213–110.0817%13 Jul
cache11–130.0713%13 Jul
nuke13–100.1018%13 Jul
office13–30.1628%12 Jul
dust213–7-0.018%12 Jul
inferno9–130.0417%12 Jul
nuke13–10.0914%10 Jul
overpass13–60.1016%8 Jul
nuke13–110.1522%7 Jul
dust213–110.0824%7 Jul
inferno13–50.0018%6 Jul
dust213–80.0325%6 Jul
inferno13–70.0311%6 Jul
mirage1–13-0.0427%6 Jul
mirage13–70.0323%5 Jul
dust213–40.1323%5 Jul
cache11–130.0116%5 Jul
dust213–90.1721%4 Jul
dust29–130.1022%4 Jul
cache13–80.0226%3 Jul
train13–20.1014%3 Jul
dust210–130.0215%30 Jun
inferno13–110.0430%29 Jun
cache5–13-0.0312%29 Jun
dust213–10.1414%28 Jun
inferno13–110.1028%22 Jun
dust213–90.1614%22 Jun
dust213–70.0220%21 Jun
cache12–120.1022%21 Jun
dust212–12-0.0217%14 Jun
nuke13–70.0522%12 Jun
mirage10–13-0.0315%12 Jun
mirage12–120.0221%9 Jun
dust213–80.1940%8 Jun
dust212–120.0112%8 Jun
dust213–50.0221%6 Jun
dust210–130.0115%1 Jun
cache11–130.0312%1 Jun
dust213–60.0717%29 May
dust213–110.0822%25 May
dust213–160.0314%23 May
cache13–50.1325%22 May
dust213–100.2131%21 May
dust213–70.0517%21 May
dust213–50.1317%21 May
dust212–120.1213%18 May
cache4–13-0.0534%18 May
cache11–130.0622%18 May
cache6–00.037%15 May
nuke13–60.0415%13 May
mirage16–130.0418%13 May
nuke2–13-0.0815%13 May
cache13–40.1127%12 May
cache13–100.0316%11 May
nuke16–140.0022%11 May
dust211–130.0125%11 May
dust213–110.0627%11 May
ancient5–130.0513%10 May
cache13–20.0515%8 May
anubis1–13-0.0418%4 May
ancient6–13-0.0317%4 May
dust213–30.1120%4 May
nuke13–00.0516%4 May
inferno1–1-0.080%4 May
cache13–90.1423%1 May
cache13–40.0627%1 May
cache12–120.1126%1 May
cache13–100.0418%29 Apr

Match data via Leetify.

Recent teammates

Milestones

100 Matches
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