limsu-iwnl-

limsu-iwnl- — CS2 Stats

76561198426281140[U:1:466015412]Steam profile ↗✓ No bans

2,047Tracked matches50%Win rate2020Tracked since
2,111Hours in CS
CSDB Rating7.6 StrongAll-Rounder
Premier CS Rating21,624Top 50% of 212,133 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#61233 of 259052 tracked
FaceitLevel 6 · 1,211 ELOTop 54.0% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (40 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: 21,624 -2,656 17 Jul – 21 Sept · 14 days played
21,62424,282peak 24,28217 Jul21 Sept
24,282Peak Premier in tracked matches
1,211Highest Faceit ELO seen on CSDB
35Days played since 2026-07-17

Faceit ELO

  • At peak — 1,211
  • Next: Level 7 at 1,351 — 140 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 2,658 below peak (24,282)
  • -1,371 over 30 days · declining
  • Next: Red band at 25,000 — 3,376 to go
  • Reached: Pink band · 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 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 rate49.8%44.8%45.7%above
Shot accuracy9.6%12.4%12.7%3.1% short
Kill/death ratio1.291.031.05above
Match win rate53.4%45.2%45.7%above

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGlimsu-iwnl-FACEITLevel 6 · 1,211 ELOSTANDINGTop 54.0% of rankedPREMIER21,624 · Pink bandPEAK ELO1,211csdb.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

Aim89
Positioning79
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY48–52Last 10048%Win rateLLLWWLLLWW

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +3.6pp headshot accuracy · −66ms reaction

Win rate down 20pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 425ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 446ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 479ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.9
Utility6.6
Positioning7.9
Opening Duels7.8

Sharp aimerStrong 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

s1mple

Plays most like s1mple 87% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

CT openings. 73% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 73% on CT to 49% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.9
Positioning7.9
Utility6.6
Mechanics6.2
Opening Duels7.4
Win Impact5.0

Composite 7.6/10 (Strong), 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 rating0.05+0.01
first ⅓ avg 0.04 → last ⅓ avg 0.05
Reaction time494ms−46ms
first ⅓ avg 540ms → last ⅓ avg 494ms
Headshot accuracy23.4%+2.3%
first ⅓ avg 21.1% → last ⅓ avg 23.4%

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

0.22Best match rating · 13–0 · anubis, 9 Aug →
35%Best headshot accuracy · 8–13 · cache, 21 Sept →
313msFastest reaction time · 2–5 · ancient, 21 Sept →
13–0Biggest win · anubis, 9 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
6–15In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 71% over 21infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
anubisS2115–671%0.06
ancientA2011–955%0.04
mirageA138–562%0.04
dust2B126–650%0.05
cacheD123–925%0.04
nukeD82–625%0.03
infernoD61–517%0.04
train—42–250%0.04
overpass—30–30%-0.00
vertigo—10–10%0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

114,139Lifetime kills
1.29K/D · Top 25% of Level 6 players
4,617Matches
53.4%Match win rate · Top 10% of Level 6 players
49.8%Headshot % · Top 50% of Level 6 players
9.6%Shot accuracy
15,355MVPs
2,111Hours (in match)
4,978Bombs planted
1,642Bombs defused

Most-used weapons

AK-4746,004
AWP12,321
MAC-101,666
P2501,634
MP91,536

Lifetime map wins

6,765inferno
4,505dust2
3,604vertigo
2,384nuke
1,452train
531cbble
265lake
258office

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.

23.8%Headshot accuracy
37.8%Accuracy (enemy spotted)
41.9%Spray accuracy
77.7%Counter-strafing
8.6°Preaim
492msReaction time
49.0%T opening success
72.9%CT opening success
0.47Enemies flashed / flash
16.7%Flash assists
10.50HE damage / grenade
7.55Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4693 — below the 0.5 mark we flag

    Grenade Lineups →
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–130.0320%6 Oct →
nuke8–130.0621%30 Sept →
ancient7–13-0.0327%30 Sept →
ancient13–40.0424%29 Sept →
ancient13–50.0220%24 Sept →
ancient2–5-0.0518%21 Sept →
cache8–130.0235%21 Sept →
cache7–130.0227%19 Sept →
ancient13–40.1128%19 Sept →
dust213–80.1133%18 Sept →
anubis13–90.1123%14 Sept →
anubis13–110.1331%14 Sept →
dust25–130.0515%9 Sept →
cache11–130.0229%5 Sept →
inferno13–50.1714%5 Sept →
mirage13–100.0120%5 Sept →
cache13–90.0015%5 Sept →
ancient11–13-0.0017%4 Sept →
nuke8–130.0420%4 Sept →
mirage13–100.1334%4 Sept →
overpass9–13-0.0023%4 Sept →
mirage7–13-0.0118%3 Sept →
dust213–100.0925%2 Sept →
cache1–110.0121%2 Sept →
mirage7–130.1526%2 Sept →
ancient13–100.0431%31 Aug →
anubis13–50.1731%31 Aug →
ancient11–130.1526%31 Aug →
nuke13–9-0.0416%31 Aug →
ancient13–110.0720%31 Aug →
dust213–90.0835%31 Aug →
cache4–13-0.0220%31 Aug →
ancient13–60.0712%31 Aug →
nuke3–50.0622%31 Aug →
anubis16–12-0.0215%28 Aug →
ancient11–13-0.0425%28 Aug →
inferno6–130.0526%27 Aug →
anubis13–110.0523%27 Aug →
anubis11–130.0215%27 Aug →
mirage13–30.0919%27 Aug →
mirage16–130.0421%27 Aug →
train13–90.0225%26 Aug →
dust23–130.0317%26 Aug →
nuke8–13-0.0026%26 Aug →
ancient13–90.0628%26 Aug →
ancient13–110.0531%26 Aug →
anubis13–90.1132%17 Aug →
ancient16–130.0729%16 Aug →
train5–130.0118%16 Aug →
cache16–120.1115%16 Aug →
anubis13–100.0726%13 Aug →
anubis11–130.0320%13 Aug →
ancient11–13-0.0214%13 Aug →
mirage13–90.0318%13 Aug →
cache13–20.1323%12 Aug →
mirage13–5-0.0628%11 Aug →
dust213–60.0418%11 Aug →
anubis13–80.0622%11 Aug →
cache10–130.0727%9 Aug →
inferno11–130.0121%9 Aug →
train13–110.0725%9 Aug →
anubis11–130.0118%9 Aug →
dust216–120.0618%9 Aug →
anubis13–00.2228%9 Aug →
cache5–130.0017%9 Aug →
nuke13–90.1127%8 Aug →
mirage2–110.0011%8 Aug →
inferno10–13-0.0012%7 Aug →
dust27–130.1620%6 Aug →
cache5–130.0725%6 Aug →
vertigo14–160.1024%30 Jul →
anubis9–130.0414%30 Jul →
ancient11–13-0.0016%30 Jul →
dust213–5-0.0313%30 Jul →
anubis11–00.0929%30 Jul →
anubis13–110.0117%29 Jul →
anubis13–30.0828%29 Jul →
nuke10–130.0930%29 Jul →
anubis13–80.0727%29 Jul →
train8–130.0423%27 Jul →
nuke5–13-0.0724%26 Jul →
mirage8–13-0.0121%25 Jul →
inferno0–4-0.0415%25 Jul →
mirage13–40.0613%21 Jul →
anubis7–130.0119%21 Jul →
overpass8–13-0.0523%21 Jul →
ancient13–90.0419%19 Jul →
mirage16–190.1017%19 Jul →
ancient13–50.1223%19 Jul →
dust28–130.0427%19 Jul →
ancient9–130.0319%19 Jul →
cache11–130.0527%18 Jul →
mirage13–50.0534%18 Jul →
anubis1–11-0.077%18 Jul →
ancient9–130.0919%18 Jul →
overpass6–130.0430%18 Jul →
anubis13–90.0819%18 Jul →
inferno11–130.0617%18 Jul →
anubis16–130.0321%17 Jul →
dust211–130.0022%17 Jul →

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.