LerBron

LerBron — CS2 Stats

76561199034545866[U:1:1074280138]Steam profile ↗

5,238Tracked matches33%Win rate2021Tracked since
4,169Hours in CS46Hrs last 2 wks
CSDB Rating4.4 Developing
Premier CS Rating22,994Top 50% of 819 CSDB-tracked playersPink band · top ~5.2% of ranked players (population est.)
CSDB Leaderboard#3875 of 14189 tracked
FaceitLevel 9 · 1,730 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 playerLevel 10 medianvs Level 10
Headshot rate54.4%52.8%above
Shot accuracy9.6%13.7%4.1% short
Kill/death ratio1.391.08above
Match win rate47.2%49.2%2.0% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLerBronFACEITLevel 9 · 1,730 ELOSTANDINGTop 20.7% of rankedPREMIER22,994 · Pink bandcsdb.gg/stats

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Performance scores

Aim56
Positioning39
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY5050Last 10050%Win rateLLWWLLLWLW

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

Player DNA

Aim5.6
Aggression3.2
Utility6.3
Positioning3.9
Opening Duels0.0
Clutch2.8

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

NiKo

Plays most like NiKo 81% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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 35% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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

Aim5.6
Positioning3.9
Utility6.3
Mechanics5.9
Opening Duels0.6
Win Impact0.0

Composite 4.4/10 (Developing), 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 rating-0.04−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time582ms−53ms
first ⅓ avg 635ms → last ⅓ avg 582ms
Headshot accuracy19.1%+1.7%
first ⅓ avg 17.4% → last ⅓ avg 19.1%

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

0.11Best rating — dust2 16–13
132Biggest win — ancient
12Longest win streak
L2Current streak
610In matches decided by ≤2 rounds
17Overtime games

Map breakdown

ancientBest map · 71% over 21infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
ancientS2115671%-0.02
mirageC2081240%-0.04
nukeB168850%-0.04
dust2C125742%-0.02
infernoD93633%-0.02
anubisA95456%-0.02
cacheA95456%-0.01
office2020%-0.01
overpass21150%-0.00

Across the last 100 tracked matches.

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

Lifetime stats

164,027Lifetime kills
1.39K/D · Top 25% of Pink band
5,797Matches
47.2%Match win rate · Top 50% of Pink band
54.4%Headshot % · Top 25% of Pink band
9.6%Shot accuracy
11,639MVPs
2,518Hours (in match)
6,255Bombs planted
1,352Bombs defused

Most-used weapons

AK-4765,771
MP914,334
P9010,676
AWP3,836
Knife3,510
MAC-103,382

Lifetime map wins

17,710nuke
5,469inferno
4,953dust2
4,018vertigo
1,355train
88office
33cbble
14lake

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

Faceit stats

Combat

3,664Matches
51%Win rate
0.92Avg K/D
75.0ADR
42%Headshot %

Clutches & streaks

34%1v1 clutch win
17%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient59150%0.8814.6
Nuke50762%1.0115.5
Anubis43247%0.9014.6
Mirage32846%0.8313.0
Dust228745%0.8213.4
Inferno22250%0.8513.3
Vertigo16550%1.0316.4
Overpass11146%0.9014.5

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.

17.7%Headshot accuracy
27.0%Accuracy (enemy spotted)
29.2%Spray accuracy
76.8%Counter-strafing
8.1°Preaim
577msReaction time
18.8%T opening success
34.5%CT opening success
0.61Enemies flashed / flash
7.5%Flash assists
8.80HE damage / grenade
14.71Flashes / 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 18.8408% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0321%28 Aug
mirage7–13-0.0926%27 Aug
ancient13–10-0.0331%27 Aug
dust213–30.0629%27 Aug
mirage8–13-0.0521%27 Aug
ancient8–130.0020%27 Aug
ancient11–13-0.0315%27 Aug
ancient13–10-0.0221%27 Aug
dust26–13-0.0919%24 Aug
inferno9–70.0429%24 Aug
nuke1–9-0.2414%24 Aug
anubis7–00.0129%24 Aug
ancient13–2-0.0217%24 Aug
mirage7–13-0.0619%24 Aug
ancient19–15-0.0128%22 Aug
ancient16–19-0.0214%21 Aug
dust214–16-0.0113%18 Aug
inferno6–9-0.0718%16 Aug
inferno5–9-0.1029%16 Aug
cache13–4-0.0011%16 Aug
ancient9–13-0.0515%16 Aug
dust216–12-0.0113%16 Aug
mirage0–13-0.1011%16 Aug
mirage20–220.0210%13 Aug
inferno6–13-0.0227%10 Aug
nuke4–13-0.0919%10 Aug
inferno4–9-0.0422%5 Aug
dust25–13-0.0519%5 Aug
ancient13–7-0.0617%3 Aug
nuke5–13-0.059%3 Aug
anubis4–13-0.0521%2 Aug
dust27–13-0.0510%2 Aug
nuke10–13-0.0413%1 Aug
cache16–13-0.0422%1 Aug
ancient20–22-0.0311%31 Jul
mirage16–14-0.0425%28 Jul
mirage13–110.0227%28 Jul
nuke10–130.0538%26 Jul
anubis11–130.0123%25 Jul
mirage4–13-0.0318%24 Jul
anubis10–13-0.0517%23 Jul
mirage11–13-0.0829%23 Jul
dust214–16-0.0913%22 Jul
nuke13–10-0.0531%22 Jul
nuke7–13-0.0413%22 Jul
nuke13–9-0.0411%20 Jul
mirage13–10-0.0513%17 Jul
anubis13–7-0.0521%16 Jul
nuke13–7-0.0222%15 Jul
cache13–8-0.018%15 Jul
mirage9–13-0.0622%15 Jul
nuke13–10-0.0412%15 Jul
ancient13–60.0014%14 Jul
cache5–13-0.0218%14 Jul
mirage22–19-0.047%14 Jul
ancient13–10-0.0611%13 Jul
dust216–130.0213%13 Jul
anubis13–6-0.065%12 Jul
nuke13–9-0.0423%11 Jul
mirage10–13-0.0418%10 Jul
office11–13-0.0217%10 Jul
office8–13-0.0126%10 Jul
mirage13–9-0.0412%10 Jul
cache7–13-0.0715%10 Jul
cache4–13-0.0214%9 Jul
cache5–13-0.0319%9 Jul
ancient13–4-0.0024%4 Jul
inferno13–4-0.005%3 Jul
anubis13–50.0915%1 Jul
nuke5–130.0223%1 Jul
dust216–130.1113%1 Jul
ancient13–10-0.0117%1 Jul
ancient16–14-0.047%28 Jun
overpass13–90.0112%27 Jun
ancient16–12-0.0215%26 Jun
nuke13–70.0121%26 Jun
mirage13–80.0615%24 Jun
ancient13–50.0426%17 Jun
ancient13–9-0.0914%17 Jun
mirage13–6-0.074%17 Jun
inferno13–40.0124%11 Jun
ancient13–60.0116%11 Jun
dust212–16-0.089%8 Jun
overpass13–16-0.0216%8 Jun
ancient5–13-0.0511%7 Jun
dust213–110.0111%7 Jun
nuke13–8-0.0428%7 Jun
nuke6–13-0.0819%6 Jun
ancient13–90.0519%6 Jun
mirage9–13-0.0128%2 Jun
anubis11–13-0.0414%31 May
anubis13–5-0.0523%24 May
inferno5–90.0323%22 May
cache13–70.0735%22 May
mirage13–8-0.0627%22 May
nuke13–60.0224%22 May
mirage6–13-0.0610%22 May
inferno11–13-0.0213%20 May
mirage12–16-0.0415%19 May
cache13–110.0323%19 May

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →