Lex - Baller on a budget

Lex - Baller on a budget — CS2 Stats

HM76561197997788359[U:1:37522631]Steam profile ↗✓ No bans

1,864Tracked matches35%Win rate2020Tracked since
2,041Hours in CS
CSDB Rating5.6 SolidSupport
Premier CS Rating20,588Top 50% of 205,416 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#72909 of 252708 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,588 -4,949 22 Apr – 9 Oct · 13 days played
20,58826,351peak 26,35122 Apr9 Oct
26,351Peak Premier in tracked matches
2,159Highest Faceit ELO seen on CSDB
50Days played since 2026-04-01

Faceit ELO

  • At peak — 2,159
  • Next: 2,500 ELO at 2,500 — 341 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier CS Rating

  • 5,763 below peak (26,351)
  • -26 over 30 days · steady
  • Next: Red band at 25,000 — 4,412 to go
  • Reached: Red band · Pink band · Purple band · Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate40.5%46.9%49.3%8.7% short
Shot accuracy14.8%13.0%13.4%above
Kill/death ratio1.311.081.12above
Match win rate50.2%46.7%48.5%above

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

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

Share this profile

CSDB.GGLex - Baller on a budgetPREMIER20,588 · Pink bandPEAK ELO2,159csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim81
Positioning46
Utility55

0–100 skill scores via Leetify.

Recent form

COLD45–47–8Last 10045%Win rateLWLLTLLTWL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −4.0pp headshot accuracy · +3ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 558ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 540ms

Last 20

  • 5–12–3 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 538ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim8.1
Utility5.5
Positioning4.6
Opening Duels2.3
Clutch4.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 93% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success; lower positioning 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

Positioning. Positioning trails aim by 34 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
Utility5.5
Mechanics6.9
Opening Duels2.5
Win Impact0.0

Composite 5.6/10 (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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time550ms−10ms
first ⅓ avg 561ms → last ⅓ avg 550ms
Headshot accuracy22.1%+0.7%
first ⅓ avg 21.4% → last ⅓ avg 22.1%

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.

Personal bests

0.13Best match rating · 13–5 · dust2, 3 Aug →
100%Best headshot accuracy · 0–2 · mirage, 11 Jun →
359msFastest reaction time · 4–13 · dust2, 11 May →
13–1Biggest win · mirage, 11 Jun →

Across the last 100 tracked matches.

Highlights

8Longest win streak
6–10In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 57% over 7anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
cacheC177–1041%0.01
mirageB158–753%-0.00
infernoB136–746%0.01
vertigoC125–742%-0.01
nukeB115–645%0.01
anubisD93–633%0.00
dust2C83–538%0.01
ancientA74–357%0.03
train—32–167%0.02
overpass—31–233%-0.02
office—21–150%0.04

Across the last 100 tracked matches.

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

Lifetime stats

112,464Lifetime kills
1.31K/D · Top 25% of Pink band
5,506Matches
50.2%Match win rate · Top 25% of Pink band
40.5%Headshot %
14.8%Shot accuracy · Top 50% of Pink band
14,763MVPs
2,041Hours (in match)
6,224Bombs planted
1,482Bombs defused

Most-used weapons

AK-4729,538
AWP11,227
P2502,917
SSG 082,346
MP92,337

Lifetime map wins

9,051inferno
5,863nuke
3,700vertigo
3,665dust2
2,458train
583lake
539cbble
256safehouse

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

Faceit stats

Combat

685Matches
52%Win rate
1.24Avg K/D
82.3ADR
42%Headshot %

Clutches & streaks

40%1v1 clutch win
17%1v2 clutch win
14Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno8665%1.3417.9
Anubis7453%1.2116.6
Mirage6850%0.9814.2
Ancient5643%1.1115.6
Nuke5349%1.1115.2
Vertigo4850%1.2718.7
Dust22846%0.8412.9
Overpass1369%0.9715.9

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.

22.1%Headshot accuracy
34.1%Accuracy (enemy spotted)
36.0%Spray accuracy
80.9%Counter-strafing
8.1°Preaim
549msReaction time
35.3%T opening success
44.9%CT opening success
0.65Enemies flashed / flash
4.6%Flash assists
8.87HE damage / grenade
9.63Flashes / 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 35.2868% — below the 40% mark we flag

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0118%9 Oct →
dust213–10-0.0417%9 Oct →
train8–13-0.0317%9 Oct →
vertigo10–13-0.0810%28 Sept →
vertigo12–12-0.0210%28 Sept →
vertigo1–9-0.0827%24 Sept →
overpass8–13-0.0120%16 Sept →
inferno12–12-0.0133%10 Sept →
mirage13–6-0.0225%10 Sept →
anubis9–13-0.0127%9 Sept →
inferno8–13-0.0617%9 Sept →
mirage13–110.0426%9 Sept →
office13–100.0518%2 Sept →
office10–130.0337%2 Sept →
nuke13–80.0418%30 Aug →
cache3–13-0.0429%27 Aug →
ancient8–130.0337%26 Aug →
cache6–13-0.0421%26 Aug →
cache12–12-0.0327%26 Aug →
vertigo6–13-0.0615%6 Aug →
nuke11–13-0.0627%6 Aug →
nuke13–100.0719%5 Aug →
cache13–110.0439%5 Aug →
mirage7–13-0.0411%4 Aug →
anubis11–13-0.0321%4 Aug →
dust215–150.0218%3 Aug →
dust213–50.1324%3 Aug →
mirage7–13-0.029%3 Aug →
inferno13–40.0730%3 Aug →
ancient10–130.0220%2 Aug →
nuke14–160.0025%1 Aug →
nuke13–90.0320%31 Jul →
inferno13–80.0818%31 Jul →
mirage4–13-0.0124%31 Jul →
cache1–13-0.0122%31 Jul →
ancient13–70.0730%30 Jul →
anubis10–130.0316%30 Jul →
vertigo12–12-0.0218%30 Jul →
vertigo6–13-0.0320%30 Jul →
nuke7–130.0323%30 Jul →
inferno13–40.0129%27 Jul →
ancient13–90.0319%27 Jul →
cache13–100.0022%27 Jul →
dust26–13-0.0914%27 Jul →
inferno11–130.0121%23 Jul →
nuke13–10-0.0220%19 Jul →
anubis11–13-0.0116%18 Jul →
cache7–13-0.0627%18 Jul →
mirage12–120.0325%18 Jul →
cache8–13-0.0130%17 Jul →
vertigo13–50.0432%17 Jun →
cache5–130.0718%16 Jun →
nuke13–50.0921%16 Jun →
dust212–12-0.0320%16 Jun →
dust213–70.0711%11 Jun →
vertigo13–60.0319%11 Jun →
mirage13–10.0423%11 Jun →
mirage5–13-0.0510%11 Jun →
inferno13–40.1019%11 Jun →
mirage0–2-0.02100%11 Jun →
mirage13–4-0.0364%7 Jun →
nuke5–13-0.0319%6 Jun →
ancient13–60.0415%6 Jun →
vertigo11–130.0328%3 Jun →
vertigo13–110.0416%3 Jun →
mirage13–10-0.0316%3 Jun →
ancient9–13-0.0416%3 Jun →
mirage13–10-0.0220%2 Jun →
anubis13–100.0514%28 May →
cache12–12-0.0122%25 May →
nuke5–130.0529%20 May →
inferno13–110.0223%20 May →
nuke7–13-0.0417%19 May →
mirage13–70.1222%16 May →
ancient13–100.0617%13 May →
anubis6–13-0.0428%13 May →
overpass6–13-0.0327%11 May →
dust24–130.0122%11 May →
anubis6–13-0.0311%7 May →
cache13–70.0516%6 May →
cache7–130.0113%6 May →
cache13–90.1018%6 May →
cache6–13-0.0220%3 May →
cache13–110.0024%3 May →
cache13–80.0120%29 Apr →
cache13–100.0631%29 Apr →
overpass13–7-0.0127%22 Apr →
train8–20.0228%22 Apr →
train13–80.0731%22 Apr →
inferno13–7-0.0310%21 Apr →
mirage13–90.0028%15 Apr →
inferno2–13-0.0711%15 Apr →
mirage11–13-0.0629%12 Apr →
inferno3–7-0.0028%11 Apr →
vertigo13–100.0021%9 Apr →
vertigo13–30.0415%8 Apr →
inferno8–13-0.0326%8 Apr →
inferno11–13-0.0020%2 Apr →
anubis13–110.0821%1 Apr →
anubis13–5-0.0521%1 Apr →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.