Le-Bartender

Le-Bartender — CS2 Stats

NL76561198123348850[U:1:163083122]Steam profile ↗✓ No bans

782Tracked matches41%Win rate2020Tracked since
3,172Hours in CS3Hrs last 2 wks
CSDB Rating3.6 LearningSupport
Premier CS Rating11,445Blue band · top ~47.2% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (12 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: 11,445 +5,962 8 Mar – 19 Oct · 21 days played
5,28512,747peak 12,7478 Mar19 Oct
12,747Peak Premier in tracked matches
42Days played since 2026-02-24

Premier CS Rating

  • 1,302 below peak (12,747)
  • -812 over 90 days
  • Next: Purple band at 15,000 — 3,555 to go
  • Reached: Blue band · Light 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate34.8%42.0%44.4%9.5% short
Shot accuracy15.9%9.6%11.9%above
Kill/death ratio0.740.981.030.29 short
Match win rate34.1%43.8%45.2%11.1% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLe-BartenderPREMIER11,445 · Blue bandcsdb.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

Aim53
Positioning26
Utility47

0–100 skill scores via Leetify.

Recent form

COLD43–49–8Last 10043%Win rateLLWLLLLTLL

Last 10 vs previous 10: −70pp win rate · −0.03 avg rating · −7.0pp headshot accuracy · +42ms reaction

Win rate down 70pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 655ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 12%
  • Avg reaction 616ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 595ms

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 (+2.3 against its own average).

Aim5.3
Utility4.7
Positioning2.6
Opening Duels0.0

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 82% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Reaction time. 601ms 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

Aim5.3
Positioning2.6
Utility4.7
Mechanics5.4
Opening Duels0.0
Win Impact2.1

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time607ms−93ms
first ⅓ avg 700ms → last ⅓ avg 607ms
Headshot accuracy14.1%+1.4%
first ⅓ avg 12.7% → 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.

Personal bests

0.09Best match rating · 13–11 · ancient, 20 May →
50%Best headshot accuracy · 13–2 · mirage, 11 Oct →
453msFastest reaction time · 13–2 · mirage, 11 Oct →
13–2Biggest win · mirage, 11 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
9–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 44% over 25anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC2511–1444%-0.04
cacheC198–1142%-0.04
ancientC156–940%-0.03
infernoC125–742%-0.04
nukeC94–544%-0.04
dust2C83–538%-0.04
anubisD62–433%-0.05
overpass—43–175%-0.04
train—21–150%-0.03

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

70,116Lifetime kills
0.74K/D
5,380Matches
34.1%Match win rate
34.8%Headshot %
15.9%Shot accuracy · Top 25% of Blue band
6,296MVPs
1,907Hours (in match)
5,781Bombs planted
892Bombs defused

Most-used weapons

AK-4711,593
AWP7,276
SG 5535,682
AUG4,352
P902,649
MAC-102,493
UMP-452,411

Lifetime map wins

4,478dust2
2,392inferno
1,312vertigo
1,106nuke
890train
497lake
450cbble
249safehouse

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.

14.0%Headshot accuracy
30.2%Accuracy (enemy spotted)
41.1%Spray accuracy
74.2%Counter-strafing
10.4°Preaim
601msReaction time
28.8%T opening success
16.9%CT opening success
0.65Enemies flashed / flash
5.0%Flash assists
10.33HE damage / grenade
5.37Flashes / 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 13.9659% — 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 28.8368% — 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 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.034%19 Oct →
anubis4–13-0.127%19 Oct →
nuke13–11-0.0816%17 Oct →
dust23–13-0.054%17 Oct →
mirage6–13-0.0221%17 Oct →
cache2–13-0.0720%17 Oct →
dust26–13-0.0517%16 Oct →
cache15–15-0.0312%16 Oct →
cache11–13-0.0514%15 Oct →
mirage8–13-0.086%15 Oct →
inferno13–110.0215%11 Oct →
dust213–7-0.046%11 Oct →
mirage13–20.0450%11 Oct →
anubis9–13-0.0220%11 Oct →
ancient13–6-0.0617%11 Oct →
nuke13–5-0.0525%11 Oct →
cache13–4-0.0412%10 Oct →
ancient11–13-0.0913%10 Oct →
dust213–80.0118%10 Oct →
mirage13–6-0.0614%10 Oct →
mirage11–13-0.087%9 Oct →
anubis13–4-0.0524%9 Oct →
ancient3–13-0.0910%9 Oct →
ancient14–16-0.057%9 Oct →
cache10–130.0013%2 Oct →
mirage13–70.0320%20 Aug →
nuke3–13-0.086%20 Aug →
cache13–10-0.0514%26 Jul →
ancient8–13-0.0718%26 Jul →
nuke8–13-0.036%26 Jul →
mirage7–13-0.068%26 Jul →
inferno13–10-0.0113%26 Jul →
anubis13–7-0.059%25 Jul →
anubis5–13-0.0412%25 Jul →
cache13–9-0.016%25 Jul →
mirage13–11-0.0311%24 Jul →
inferno16–140.0015%23 Jul →
ancient13–3-0.0812%23 Jul →
cache7–13-0.0617%23 Jul →
ancient4–13-0.025%21 Jul →
nuke13–40.000%17 Jul →
inferno13–11-0.0223%17 Jul →
inferno15–15-0.0314%14 Jul →
cache13–6-0.049%14 Jul →
mirage4–13-0.129%30 Jun →
dust23–13-0.0614%23 Jun →
inferno3–13-0.118%13 Jun →
nuke13–70.039%20 May →
ancient13–110.0919%20 May →
cache13–2-0.0333%17 May →
ancient15–15-0.0418%16 May →
mirage13–100.028%16 May →
cache9–13-0.1013%5 May →
cache1–13-0.0610%5 May →
cache6–130.0115%30 Apr →
cache13–20.0313%30 Apr →
cache3–13-0.0418%30 Apr →
cache10–13-0.059%29 Apr →
cache13–11-0.0514%29 Apr →
cache7–13-0.089%29 Apr →
cache13–8-0.0813%29 Apr →
mirage12–12-0.0519%27 Apr →
overpass13–4-0.049%27 Apr →
inferno10–13-0.017%27 Apr →
nuke8–13-0.0312%26 Apr →
nuke8–13-0.0616%26 Apr →
dust215–15-0.0415%26 Apr →
inferno2–13-0.0425%26 Apr →
mirage2–13-0.0813%25 Apr →
mirage13–10-0.0229%25 Apr →
ancient13–4-0.0114%25 Apr →
train13–110.0416%25 Apr →
train6–13-0.107%25 Apr →
ancient10–130.0314%24 Apr →
mirage13–80.0111%24 Apr →
mirage10–13-0.0210%24 Apr →
dust213–4-0.0417%23 Apr →
anubis1–90.0118%23 Apr →
mirage11–13-0.054%21 Apr →
nuke6–13-0.0718%21 Apr →
mirage11–13-0.0110%15 Apr →
mirage13–10-0.0113%15 Apr →
mirage12–12-0.099%14 Apr →
mirage13–9-0.044%12 Apr →
ancient12–120.025%12 Apr →
ancient13–8-0.038%8 Apr →
overpass9–13-0.078%17 Mar →
overpass13–6-0.0524%17 Mar →
inferno13–7-0.039%10 Mar →
mirage13–30.0125%10 Mar →
dust25–13-0.0813%10 Mar →
mirage8–13-0.095%8 Mar →
inferno7–13-0.066%8 Mar →
ancient13–11-0.0314%8 Mar →
mirage13–2-0.0422%7 Mar →
overpass13–9-0.025%7 Mar →
mirage9–13-0.0513%7 Mar →
mirage12–12-0.0715%4 Mar →
ancient10–130.0011%26 Feb →
inferno2–13-0.103%24 Feb →

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 →

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