Lennart ( ͡° ͜ʖ ͡°)

Lennart ( ͡° ͜ʖ ͡°) — CS2 Stats

76561197989298434[U:1:29032706]Steam profile ↗✓ No bans

1,130Tracked matches45%Win rate2020Tracked since
2,212Hours in CS13Hrs last 2 wks
CSDB Rating6.3 SolidPositional Player
Premier CS Rating17,753Purple band · top ~17.4% of ranked players (population est.)
FaceitLevel 7 · 1,401 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (4 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: 17,753 -398 2 Sept – 1 Nov · 19 days played
16,21319,439peak 19,4392 Sept1 Nov
19,704Peak Premier in tracked matches
1,401Highest Faceit ELO seen on CSDB
22Days played since 2026-09-02

Faceit ELO

  • At peak — 1,401
  • Next: Level 8 at 1,531 — 130 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • 1,686 below peak (19,439)
  • -1,686 over 30 days · declining
  • Next: Pink band at 20,000 — 2,247 to go
  • Reached: Purple band · 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 Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate48.2%45.7%46.8%above
Shot accuracy9.9%12.7%13.0%3.1% short
Kill/death ratio0.961.051.060.10 short
Match win rate45.4%45.7%46.3%meets

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLennart ( ͡° ͜ʖ ͡°)FACEITLevel 7 · 1,401 ELOSTANDINGTop 42.3% of rankedPREMIER17,753 · Purple bandPEAK ELO1,401csdb.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

Aim75
Positioning65
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateLLLWTWWLLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −3.2pp headshot accuracy · +70ms 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 -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 769ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 665ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 630ms

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: Positional Player — Positioning stands above the rest of this profile (+1 against its own average).

Aim7.5
Utility6.3
Positioning6.5
Opening Duels4.2
Clutch5.2

Strong CT-side opener

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

jL

Plays most like jL 87% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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 57% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 607ms 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

Aim7.5
Positioning6.5
Utility6.3
Mechanics6.7
Opening Duels4.8
Win Impact3.3

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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time608ms−2ms
first ⅓ avg 610ms → last ⅓ avg 608ms
Headshot accuracy19.6%+0.5%
first ⅓ avg 19.0% → last ⅓ avg 19.6%

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

0.08Best match rating · 13–8 · train, 7 Oct →
100%Best headshot accuracy · 0–2 · ancient, 2 Sept →
375msFastest reaction time · 7–4 · dust2, 29 Oct →
13–0Biggest win · dust2, 10 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
10–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 70% over 20anubisWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C269–1735%-0.01
infernoS2014–670%0.01
cacheB157–847%-0.01
mirageB84–450%-0.01
anubisD82–625%-0.04
nukeA74–357%-0.02
ancientC73–443%0.02
fachwerk—31–233%0.01
train—21–150%0.03
vertigo—21–150%0.02
boulder—10–10%-0.02
debris—10–10%-0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,480Lifetime kills
0.96K/D
2,723Matches
45.4%Match win rate
48.2%Headshot % · Top 50% of Level 7 players
9.9%Shot accuracy
5,944MVPs
1,158Hours (in match)
3,479Bombs planted
676Bombs defused

Most-used weapons

Lifetime map wins

6,217inferno
5,679dust2
2,849nuke
1,261train
652vertigo
161cbble
80italy
56office

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

Faceit stats

Combat

169Matches
54%Win rate
0.96Avg K/D
70.9ADR
45%Headshot %

Clutches & streaks

46%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust22864%0.9815.0
Mirage2650%0.9314.0
Nuke2138%0.9614.6
Inferno1776%1.0014.3
Ancient1354%0.9217.5
Overpass650%0.9915.7
Train650%0.8012.3
Cache520%0.8611.8

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.

19.7%Headshot accuracy
37.8%Accuracy (enemy spotted)
44.0%Spray accuracy
80.1%Counter-strafing
11.1°Preaim
607msReaction time
41.2%T opening success
57.1%CT opening success
0.59Enemies flashed / flash
9.9%Flash assists
10.74HE damage / grenade
9.55Flashes / match

Recommended for you

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.0716%1 Nov →
anubis3–13-0.120%1 Nov →
cache3–13-0.0914%1 Nov →
dust27–40.0512%29 Oct →
inferno15–150.0622%29 Oct →
mirage13–50.028%29 Oct →
cache13–70.0526%29 Oct →
cache6–13-0.0014%29 Oct →
inferno10–13-0.0018%29 Oct →
inferno13–4-0.0434%26 Oct →
inferno13–90.0723%26 Oct →
cache9–13-0.0520%16 Oct →
dust23–130.0212%16 Oct →
inferno13–70.0222%16 Oct →
anubis10–13-0.0315%16 Oct →
inferno3–13-0.0128%11 Oct →
dust24–13-0.049%11 Oct →
nuke13–70.0420%11 Oct →
anubis9–13-0.0619%11 Oct →
mirage11–13-0.0128%10 Oct →
inferno9–130.0526%10 Oct →
dust213–30.0621%10 Oct →
dust29–13-0.0228%9 Oct →
mirage12–16-0.0524%9 Oct →
cache13–8-0.0112%9 Oct →
dust213–2-0.0218%9 Oct →
ancient13–80.0724%9 Oct →
dust213–40.0626%9 Oct →
inferno9–70.0122%9 Oct →
dust211–130.0323%9 Oct →
fachwerk13–50.0213%9 Oct →
fachwerk9–130.0622%8 Oct →
inferno13–90.0326%8 Oct →
cache9–13-0.0217%8 Oct →
dust22–13-0.0435%8 Oct →
dust213–110.0210%7 Oct →
cache13–9-0.0214%7 Oct →
anubis8–13-0.0613%7 Oct →
dust28–130.0113%7 Oct →
cache5–130.0523%7 Oct →
cache7–13-0.0318%7 Oct →
train13–80.0825%7 Oct →
dust28–13-0.0420%7 Oct →
dust25–6-0.0420%6 Oct →
dust25–13-0.0320%6 Oct →
cache13–100.0514%6 Oct →
mirage13–110.0110%6 Oct →
anubis13–9-0.0222%6 Oct →
cache0–10-0.1117%27 Sept →
vertigo12–12-0.0514%26 Sept →
dust25–13-0.0815%26 Sept →
dust25–13-0.0421%26 Sept →
fachwerk3–13-0.0623%26 Sept →
nuke11–13-0.0611%26 Sept →
cache13–110.0120%26 Sept →
anubis13–50.0413%26 Sept →
ancient13–40.0713%26 Sept →
inferno16–140.0212%26 Sept →
cache13–80.0612%26 Sept →
inferno5–13-0.0315%26 Sept →
dust28–13-0.0322%25 Sept →
ancient4–13-0.0117%25 Sept →
inferno13–9-0.0810%25 Sept →
cache4–13-0.086%25 Sept →
mirage16–140.0122%25 Sept →
inferno13–50.0418%16 Sept →
nuke13–9-0.0112%16 Sept →
dust213–11-0.0213%16 Sept →
inferno13–90.0818%16 Sept →
boulder12–12-0.0215%15 Sept →
dust22–130.018%12 Sept →
inferno13–80.0720%12 Sept →
dust213–7-0.0018%12 Sept →
ancient13–80.0114%12 Sept →
train1–13-0.0320%12 Sept →
inferno13–110.0117%12 Sept →
inferno13–6-0.0224%10 Sept →
dust213–0-0.023%10 Sept →
anubis10–13-0.0615%10 Sept →
inferno12–12-0.0517%10 Sept →
mirage13–50.0710%10 Sept →
cache12–3-0.0211%10 Sept →
inferno13–10-0.018%9 Sept →
dust210–130.0814%8 Sept →
mirage7–13-0.0413%8 Sept →
dust211–13-0.0719%7 Sept →
nuke11–130.0114%7 Sept →
inferno13–70.0425%5 Sept →
nuke13–10-0.0124%5 Sept →
anubis11–13-0.0117%5 Sept →
dust29–13-0.0329%5 Sept →
dust23–13-0.0428%5 Sept →
ancient5–13-0.0217%5 Sept →
ancient5–130.0122%2 Sept →
ancient0–20.01100%2 Sept →
nuke13–11-0.0423%2 Sept →
dust23–13-0.0317%2 Sept →
vertigo9–30.0812%2 Sept →
nuke5–9-0.0911%2 Sept →
debris8–8-0.0912%2 Sept →

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 →

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