Lamar Compton

Lamar Compton — CS2 Stats

76561198068221427[U:1:107955699]Steam profile ↗✓ No bans

3,137Tracked matches67%Win rate2020Tracked since
6,345Hours in CS15Hrs last 2 wks
CSDB Rating6.3 SolidSupport
Premier CS Rating17,799Purple band · top ~17.3% of ranked players (population est.)
CSDB Leaderboard#28196 of 57488 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=7,746), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate39.4%44.2%47.1%7.6% short
Shot accuracy13.2%11.7%12.8%above
Kill/death ratio1.121.031.08above
Match win rate49.6%45.2%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLamar ComptonPREMIER17,799 · Purple bandcsdb.gg/stats

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Performance scores

Aim81
Positioning46
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY54442Last 10054%Win rateWWWLLLWWLW

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

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim8.1
Aggression3.4
Utility7.2
Positioning4.6
Opening Duels0.0
Clutch3.8

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

Twistzz

Plays most like Twistzz 84% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower opening-fight frequency.

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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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
Positioning4.6
Utility7.2
Mechanics5.7
Opening Duels0.2
Win Impact10.0

Composite 6.3/10 (Solid), 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 rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time523ms−43ms
first ⅓ avg 566ms → last ⅓ avg 523ms
Headshot accuracy14.1%−3.1%
first ⅓ avg 17.2% → last ⅓ avg 14.1%

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

0.21Best rating — dust2 13–4
131Biggest win — inferno
8Longest win streak
W3Current streak
59In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 71% over 7ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoS2920969%0.05
nukeB189950%0.03
dust2C1881044%0.02
mirageB115645%0.02
ancientD93633%0.01
anubisS75271%0.00
overpassA53260%0.12
cache31233%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

169,817Lifetime kills
1.12K/D · Top 50% of Purple band
8,009Matches
49.6%Match win rate · Top 25% of Purple band
39.4%Headshot %
13.2%Shot accuracy · Top 50% of Purple band
20,593MVPs
3,862Hours (in match)
9,617Bombs planted
2,556Bombs defused

Most-used weapons

AK-4731,807
AWP21,664
MP97,567
SSG 086,096
SG 5535,012
MP74,382

Lifetime map wins

25,482inferno
23,650nuke
17,609dust2
1,187vertigo
1,131train
293office
159cbble
88aztec

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

Faceit stats

Combat

909Matches
50%Win rate
1.07Avg K/D
80.6ADR
42%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno14655%1.2916.5
Nuke14066%1.2415.5
Mirage10438%0.9113.1
Dust210247%1.0113.9
Anubis9846%1.0115.0
Ancient6338%1.1014.4
Vertigo3234%0.9514.5
Overpass2654%1.1217.1

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.

14.0%Headshot accuracy
39.5%Accuracy (enemy spotted)
41.4%Spray accuracy
75.8%Counter-strafing
8.1°Preaim
517msReaction time
24.5%T opening success
31.7%CT opening success
0.60Enemies flashed / flash
5.0%Flash assists
10.75HE damage / grenade
17.47Flashes / 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. 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 13.9733% — below the 15% mark we flag

    Aim Training
  2. 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 24.4616% — below the 40% mark we flag

Spend your practice time on Ancient

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 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0117%25 Aug
anubis13–110.049%25 Aug
inferno16–130.0214%25 Aug
mirage5–13-0.0517%25 Aug
cache6–130.0212%24 Aug
nuke6–130.0116%24 Aug
dust213–100.0217%24 Aug
anubis13–110.0211%24 Aug
mirage11–130.0118%24 Aug
inferno13–90.0112%22 Aug
anubis13–100.069%22 Aug
inferno6–13-0.0314%21 Aug
dust213–40.2117%21 Aug
inferno16–140.0717%21 Aug
nuke13–9-0.006%20 Aug
cache13–11-0.0313%17 Aug
inferno13–10.0627%17 Aug
dust25–130.067%17 Aug
nuke13–100.0510%17 Aug
dust212–16-0.0415%16 Aug
ancient13–50.035%16 Aug
ancient19–22-0.0212%14 Aug
ancient5–13-0.0620%14 Aug
inferno13–10.1317%14 Aug
dust210–130.0511%14 Aug
inferno13–40.0529%11 Aug
mirage13–70.1012%11 Aug
dust213–40.0913%11 Aug
inferno13–100.0920%11 Aug
anubis13–2-0.0412%8 Aug
nuke13–70.0712%6 Aug
dust213–60.0211%5 Aug
inferno13–20.2015%4 Aug
dust213–160.0622%4 Aug
nuke6–110.0727%4 Aug
nuke13–70.0016%3 Aug
mirage11–130.0611%3 Aug
ancient9–130.0216%3 Aug
ancient8–13-0.0113%30 Jul
nuke13–100.1014%30 Jul
cache9–130.0723%30 Jul
dust211–13-0.0512%30 Jul
nuke11–13-0.0016%30 Jul
inferno8–13-0.0120%30 Jul
dust21–13-0.0728%26 Jul
nuke13–20.1516%26 Jul
inferno6–130.0317%26 Jul
inferno13–50.1210%26 Jul
overpass9–130.1119%4 Jul
ancient9–130.0111%4 Jul
ancient13–50.1216%4 Jul
nuke4–13-0.0217%3 Jul
overpass13–30.1915%3 Jul
inferno13–50.2019%3 Jul
inferno13–90.0519%3 Jul
overpass13–20.1926%3 Jul
dust28–13-0.0229%3 Jul
inferno13–40.0620%3 Jul
dust213–5-0.0330%2 Jul
inferno3–130.039%2 Jul
inferno6–130.0721%2 Jul
inferno11–13-0.0516%2 Jul
nuke13–50.0554%2 Jul
dust25–13-0.0021%2 Jul
anubis13–100.0119%2 Jul
ancient16–130.019%2 Jul
dust213–70.1123%1 Jul
overpass13–40.1013%1 Jul
anubis10–13-0.0315%1 Jul
nuke5–13-0.059%1 Jul
inferno12–160.0616%29 Jun
dust213–50.0620%29 Jun
inferno8–13-0.0124%29 Jun
inferno13–10-0.0620%27 Jun
overpass6–130.0215%27 Jun
nuke13–60.0215%26 Apr
inferno13–30.0623%26 Apr
mirage6–13-0.0325%25 Apr
ancient5–13-0.0116%23 Apr
mirage7–13-0.0717%14 Apr
nuke10–13-0.0113%14 Apr
dust213–5-0.0424%14 Apr
inferno13–70.0922%9 Apr
nuke13–10-0.0214%9 Apr
nuke6–13-0.0410%9 Apr
mirage13–20.0018%9 Apr
anubis14–16-0.0418%8 Apr
mirage13–60.0728%8 Apr
inferno13–70.0513%8 Apr
mirage2–13-0.0511%8 Apr
inferno13–80.075%8 Apr
dust211–130.0414%8 Apr
nuke11–130.0620%8 Apr
mirage13–70.1129%8 Apr
dust211–13-0.0514%8 Apr
mirage13–90.0817%7 Apr
nuke15–150.0221%7 Apr
inferno13–50.0215%7 Apr
inferno13–90.1121%7 Apr
inferno15–15-0.0112%7 Apr

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →