LilF*ckingSimon

LilF*ckingSimon — CS2 Stats

AT76561198086341254[U:1:126075526]Steam profile ↗✓ No bans

1,573Tracked matches60%Win rate2020Tracked since
3,021Hours in CS73Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
Premier CS Rating15,116Purple band · top ~27.9% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (2 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: 15,116 -385 28 Aug – 30 Oct · 9 days played
13,74915,501peak 15,50128 Aug30 Oct
15,501Peak Premier in tracked matches
18Days played since 2026-08-28

Premier CS Rating

  • 385 below peak (15,501)
  • Next: Pink band at 20,000 — 4,884 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate39.5%44.8%45.7%6.1% short
Shot accuracy10.9%12.4%12.7%1.8% short
Kill/death ratio0.941.031.050.11 short
Match win rate39.1%45.2%45.7%6.5% short

This profile sits below the typical Level 7 player on every metric we can compare.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLilF*ckingSimonFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER15,116 · Purple 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

Aim58
Positioning57
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY58–39–3Last 10058%Win rateWWLWWLLWWL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · −1.6pp headshot accuracy · +35ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 670ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 668ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 651ms

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 (+1.6 against its own average).

Aim5.8
Utility5.3
Positioning5.7
Opening Duels2.3
Clutch3.2

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

NiKo

Plays most like NiKo 80% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 616ms 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

Aim5.8
Positioning5.7
Utility5.3
Mechanics5.1
Opening Duels3.5
Win Impact8.3

Composite 5.6/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time620ms−27ms
first ⅓ avg 648ms → last ⅓ avg 620ms
Headshot accuracy16.6%+0.8%
first ⅓ avg 15.8% → last ⅓ avg 16.6%

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

0.16Best match rating · 13–10 · inferno, 30 Oct →
38%Best headshot accuracy · 13–10 · inferno, 30 Oct →
445msFastest reaction time · 3–13 · anubis, 12 Oct →
13–0Biggest win · train, 12 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
7–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 70% over 10ancientWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A4223–1955%0.00
anubisB158–753%0.01
mirageS139–469%0.00
infernoS107–370%0.01
ancientC73–443%-0.02
cacheB63–350%0.02
nuke—42–250%0.01
train—22–0100%0.01
vertigo—11–0100%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

70,395Lifetime kills
0.94K/D
3,568Matches
39.1%Match win rate
39.5%Headshot %
10.9%Shot accuracy
4,973MVPs
1,394Hours (in match)
2,581Bombs planted
528Bombs defused

Most-used weapons

AK-4722,995
AWP3,651
SCAR-201,917
MP91,563
MAC-101,260
Molotov1,223

Lifetime map wins

10,521dust2
2,189inferno
1,053nuke
901vertigo
215train
150cbble
32office
23italy

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

Faceit stats

Combat

186Matches
54%Win rate
0.95Avg K/D
73.2ADR
42%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust24553%0.8813.0
Mirage3551%0.9814.4
Ancient2548%0.9014.4
Anubis2556%1.1517.0
Cache1155%1.0114.4
Inferno944%1.0213.7
Vertigo450%0.9514.3
Nuke10%1.0014.0

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.

16.6%Headshot accuracy
32.8%Accuracy (enemy spotted)
38.8%Spray accuracy
72.7%Counter-strafing
9.9°Preaim
616msReaction time
51.1%T opening success
36.7%CT opening success
0.50Enemies flashed / flash
4.7%Flash assists
13.08HE damage / grenade
5.81Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.7304% — 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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–80.0622%1 Nov →
dust213–40.1521%1 Nov →
dust29–13-0.0514%31 Oct →
dust213–90.0521%31 Oct →
dust213–6-0.0317%31 Oct →
dust29–13-0.0121%31 Oct →
cache6–130.0113%31 Oct →
dust213–70.1110%31 Oct →
dust213–60.0813%30 Oct →
dust28–13-0.0123%30 Oct →
dust25–00.0618%30 Oct →
dust213–80.007%30 Oct →
ancient6–13-0.1113%30 Oct →
inferno9–13-0.0724%30 Oct →
inferno13–3-0.0222%30 Oct →
inferno5–13-0.0418%30 Oct →
inferno13–100.1638%30 Oct →
dust28–13-0.0231%29 Oct →
mirage13–80.028%29 Oct →
dust211–13-0.0513%29 Oct →
inferno13–50.0517%29 Oct →
mirage8–20.0111%29 Oct →
nuke13–20.0423%29 Oct →
ancient5–130.0316%29 Oct →
cache6–13-0.0514%29 Oct →
mirage13–20.024%29 Oct →
nuke13–7-0.007%28 Oct →
mirage13–4-0.047%28 Oct →
inferno16–14-0.028%28 Oct →
dust27–13-0.0522%28 Oct →
dust24–13-0.0822%28 Oct →
anubis13–80.0712%28 Oct →
dust216–13-0.0121%28 Oct →
dust213–8-0.0227%28 Oct →
dust23–130.0117%28 Oct →
dust211–60.0619%28 Oct →
dust211–130.029%27 Oct →
ancient13–60.0413%27 Oct →
nuke8–130.0018%27 Oct →
dust213–60.0320%27 Oct →
mirage8–130.0319%27 Oct →
inferno8–13-0.0312%27 Oct →
dust213–10-0.0115%27 Oct →
dust212–12-0.0419%24 Oct →
dust213–60.0530%24 Oct →
dust213–40.0824%24 Oct →
inferno13–100.0518%24 Oct →
mirage19–17-0.0021%24 Oct →
anubis8–130.0817%23 Oct →
dust213–30.0424%23 Oct →
anubis8–13-0.0220%23 Oct →
dust213–110.0227%23 Oct →
dust213–9-0.059%23 Oct →
dust212–12-0.0530%23 Oct →
dust26–13-0.115%22 Oct →
dust213–40.0228%22 Oct →
anubis6–13-0.0125%22 Oct →
cache13–160.007%21 Oct →
dust213–90.0720%21 Oct →
dust213–6-0.0417%20 Oct →
dust28–13-0.0816%20 Oct →
ancient10–13-0.0218%20 Oct →
vertigo13–7-0.0011%20 Oct →
anubis13–7-0.0316%20 Oct →
ancient23–25-0.0422%19 Oct →
anubis13–60.0325%19 Oct →
cache13–30.0619%19 Oct →
dust213–6-0.0424%19 Oct →
anubis13–16-0.0610%19 Oct →
dust210–130.0218%19 Oct →
mirage16–140.0218%19 Oct →
mirage13–30.0121%19 Oct →
inferno13–110.0116%19 Oct →
cache13–40.0516%19 Oct →
dust27–130.0120%18 Oct →
train13–6-0.0018%14 Oct →
mirage13–40.0112%14 Oct →
dust212–12-0.0414%14 Oct →
dust28–130.0616%13 Oct →
ancient13–90.0117%13 Oct →
anubis13–6-0.058%12 Oct →
anubis3–13-0.036%12 Oct →
dust210–13-0.0324%12 Oct →
anubis13–40.1113%12 Oct →
inferno13–80.0012%12 Oct →
train13–00.0324%12 Oct →
nuke6–13-0.0111%11 Oct →
dust26–13-0.0513%11 Oct →
anubis12–160.0614%11 Oct →
anubis16–120.0418%11 Oct →
mirage11–13-0.0113%11 Oct →
mirage14–16-0.1014%11 Oct →
ancient13–11-0.0115%11 Oct →
anubis13–100.0412%11 Oct →
mirage3–13-0.0219%10 Oct →
anubis13–60.0211%10 Oct →
dust213–10-0.0112%10 Oct →
dust213–110.0020%10 Oct →
anubis11–13-0.0530%10 Oct →
cache13–10.0315%10 Oct →

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 →

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