Lex Lather — CS2 Stats

76561198058532481[U:1:98266753]

963Tracked matches37%Win rate2020Tracked since
1,215Hours in CS1Hrs last 2 wks
CSDB Rating3.2 Learning
Ladder ranks via Leetify

Performance scores

Aim32
Positioning46
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY43561Last 10043%Win rateWLWWLLWLWW

Last 10 vs previous 10: +50pp win rate · +0.04 avg rating

Player DNA

Aim3.2
Aggression4.5
Utility3.9
Positioning4.6
Opening Duels1.9

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 79% playstyle similarity

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

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 48% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 649ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.2
Positioning4.6
Utility3.9
Mechanics2.9
Opening Duels2.2
Win Impact0.6

Composite 3.2/10 (Learning), 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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time652ms−4ms
first ⅓ avg 656ms → last ⅓ avg 652ms
Headshot accuracy9.2%−0.2%
first ⅓ avg 9.4% → last ⅓ avg 9.2%

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

0.09Best rating — mirage 13–6
131Biggest win — ancient
5Longest win streak
511In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 58% over 19anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
nukeB25121348%-0.02
infernoC2291341%-0.02
ancientA1911858%-0.03
mirageC104640%-0.01
overpassC73443%-0.01
anubisD62433%0.01
dust2C52340%-0.05
cache4040%0.01
train2020%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,061Lifetime kills
0.98K/D
2,040Matches
38.8%Match win rate
34.3%Headshot %
19.1%Shot accuracy · Top 10% of tracked players
3,918MVPs
710Hours (in match)
2,307Bombs planted
585Bombs defused

Most-used weapons

Lifetime map wins

3,180vertigo
2,623nuke
1,965inferno
1,950dust2
348train
98lake
28office
24cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

9.4%Headshot accuracy
37.3%Accuracy (enemy spotted)
41.0%Spray accuracy
62.9%Counter-strafing
14.4°Preaim
649msReaction time
27.9%T opening success
47.5%CT opening success
0.55Enemies flashed / flash
5.9%Flash assists
2.62HE damage / grenade
7.34Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.4007° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.3887% — below the 15% mark we flag

    Aim Training
Spend your practice time on Anubis

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–100.0311%22 Aug
cache11–130.0423%22 Aug
nuke13–7-0.012%12 Aug
nuke13–10-0.033%12 Aug
anubis11–13-0.006%5 Aug
nuke6–13-0.049%5 Aug
ancient13–7-0.0111%3 Aug
nuke6–130.0011%3 Aug
inferno13–110.0312%2 Aug
ancient13–10.0513%2 Aug
nuke10–13-0.099%2 Aug
ancient13–1-0.0011%2 Aug
ancient11–13-0.052%2 Aug
mirage7–13-0.0317%27 Jul
inferno5–13-0.078%27 Jul
cache12–16-0.045%26 Jul
inferno13–16-0.0211%26 Jul
dust214–16-0.079%22 Jul
cache10–13-0.028%22 Jul
cache8–130.0410%22 Jul
inferno13–9-0.0210%12 Jul
nuke13–60.087%12 Jul
inferno11–13-0.0113%28 Jun
ancient7–13-0.017%28 Jun
mirage10–130.0011%31 May
dust213–9-0.038%31 May
mirage7–13-0.0412%31 May
ancient13–8-0.019%31 May
inferno9–13-0.0610%31 May
nuke13–16-0.008%31 May
mirage13–3-0.032%31 May
mirage13–7-0.0410%31 May
ancient13–7-0.037%31 May
inferno13–90.0214%25 May
nuke13–100.048%25 May
anubis6–130.0610%25 May
ancient10–13-0.0510%24 May
nuke8–130.014%24 May
anubis10–130.059%24 May
nuke9–130.0419%24 May
nuke2–13-0.0614%24 May
mirage16–130.019%24 May
nuke13–60.018%24 May
inferno9–13-0.0310%24 May
inferno5–13-0.0419%24 May
anubis13–90.0111%23 May
ancient13–10-0.0611%23 May
anubis4–13-0.0810%23 May
inferno9–13-0.0424%23 May
nuke11–13-0.087%15 Feb
dust22–13-0.113%15 Feb
nuke13–11-0.0210%7 Feb
ancient5–13-0.048%7 Feb
inferno10–13-0.055%25 Jan
overpass13–110.035%25 Jan
ancient8–13-0.059%25 Jan
nuke13–6-0.086%23 Jan
nuke13–40.026%23 Jan
ancient4–13-0.067%19 Jan
nuke13–9-0.014%19 Jan
mirage11–13-0.0211%19 Jan
inferno15–15-0.0013%18 Jan
ancient13–6-0.001%18 Jan
inferno13–7-0.0310%18 Jan
inferno13–8-0.042%18 Jan
nuke9–13-0.037%16 Jan
ancient7–13-0.0417%13 Jan
overpass13–100.0812%13 Jan
overpass8–13-0.0319%13 Jan
overpass5–13-0.078%6 Jan
train8–13-0.0510%4 Jan
dust210–130.0110%4 Jan
ancient13–100.014%4 Jan
overpass11–13-0.007%2 Jan
nuke13–8-0.109%2 Jan
inferno9–13-0.080%2 Jan
ancient13–10-0.047%2 Jan
inferno13–6-0.0210%1 Jan
ancient13–6-0.0511%1 Jan
train5–13-0.0516%1 Jan
nuke13–10-0.039%1 Jan
nuke9–13-0.074%1 Jan
inferno13–90.027%1 Jan
ancient13–11-0.035%28 Nov
nuke11–13-0.0213%19 Nov
nuke4–13-0.046%18 Nov
mirage10–13-0.023%18 Nov
ancient7–13-0.0210%18 Nov
dust213–6-0.0513%18 Nov
inferno14–16-0.037%17 Nov
mirage13–60.099%17 Nov
inferno13–70.078%13 Nov
inferno13–110.0211%13 Nov
nuke13–7-0.057%12 Nov
overpass13–8-0.019%11 Nov
nuke10–13-0.0511%11 Nov
inferno12–160.0113%11 Nov
mirage6–130.0014%9 Nov
inferno11–13-0.0311%9 Nov
overpass3–13-0.0614%8 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 →