KYΛMURΛI

KYΛMURΛI — CS2 Stats

BE76561198875299134[U:1:915033406]Steam profile ↗✓ No bans

1,570Tracked matches52%Win rate2025Tracked since
2,523Hours in CS53Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating16,516Purple band · top ~22.4% 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 3 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+587Premier CS Rating · 15,929 → 16,516

Rating over time

Premier CS Rating: 16,516 -1,800 21 Aug – 4 Oct · 24 days played
15,92918,316peak 18,31621 Aug4 Oct
18,361Peak Premier in tracked matches
30Days played since 2026-08-21

Premier CS Rating

  • 1,800 below peak (18,316)
  • +77 over 30 days · steady
  • Next: Pink band at 20,000 — 3,484 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 6 among CSDB-tracked players (n=12,879), 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 rate62.5%44.8%45.7%above
Shot accuracy3.7%12.4%12.7%9.0% short
Kill/death ratio2.231.031.05above
Match win rate49.4%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.GGKYΛMURΛIFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER16,516 · Purple bandcsdb.gg/stats

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Performance scores

Aim73
Positioning61
Utility41

0–100 skill scores via Leetify.

Recent form

COLD50–45–5Last 10050%Win rateWWTTTLWTTL

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · −3.9pp headshot accuracy · −37ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–0–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 558ms

Last 10

  • 3–2–5 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 521ms

Last 20

  • 9–6–5 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 540ms

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 (+2.1 against its own average).

Aim7.3
Utility4.1
Positioning6.1
Opening Duels4.0
Clutch1.8

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 92% 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 59% on T to 44% on CT — first contacts on the defending side are being lost.

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

Aim7.3
Positioning6.1
Utility4.1
Mechanics5.6
Opening Duels5.4
Win Impact5.7

Composite 6.0/10 (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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time541ms−18ms
first ⅓ avg 559ms → last ⅓ avg 541ms
Headshot accuracy19.9%+2.2%
first ⅓ avg 17.7% → last ⅓ avg 19.9%

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

0.11Best match rating · 13–4 · nuke, 15 Sept →
50%Best headshot accuracy · 2–13 · vertigo, 27 Sept →
406msFastest reaction time · 7–13 · nuke, 6 Sept →
13–0Biggest win · mirage, 2 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

anubisBest map · 67% over 6ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
nukeA2112–957%0.00
infernoC166–1038%-0.03
dust2B158–753%-0.02
mirageA159–660%0.01
ancientD124–833%0.00
vertigoA74–357%-0.00
anubisS64–267%0.01
train—42–250%-0.04
cache—20–20%-0.02
overpass—21–150%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,197Lifetime kills
2.23K/D · Top 5% of Level 6 players
2,080Matches
49.4%Match win rate · Top 25% of Level 6 players
62.5%Headshot % · Top 5% of Level 6 players
3.7%Shot accuracy
5,385MVPs
927Hours (in match)
1,959Bombs planted
961Bombs defused

Most-used weapons

Lifetime map wins

2,725dust2
2,725nuke
2,147inferno
1,583vertigo
816train
481lake
80office
24cbble

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

Faceit stats

Combat

76Matches
58%Win rate
1.00Avg K/D
73.4ADR
43%Headshot %

Clutches & streaks

29%1v1 clutch win
28%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1963%1.1415.5
Nuke1867%1.0715.7
Dust21145%0.8714.3
Inferno1145%0.7712.4
Ancient757%1.0614.3
Anubis560%1.1119.6
Overpass475%1.0113.3
Cache10%0.569.0

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.

19.5%Headshot accuracy
35.8%Accuracy (enemy spotted)
37.2%Spray accuracy
75.4%Counter-strafing
10.0°Preaim
542msReaction time
59.4%T opening success
44.1%CT opening success
0.43Enemies flashed / flash
6.9%Flash assists
5.75HE damage / grenade
8.63Flashes / 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. 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 0.4277 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–110.0521%4 Oct →
dust213–7-0.0520%4 Oct →
inferno15–15-0.0213%4 Oct →
nuke12–120.0421%3 Oct →
mirage15–150.0820%3 Oct →
dust22–8-0.060%1 Oct →
nuke13–3-0.0531%1 Oct →
cache15–150.0614%27 Sept →
nuke12–120.0320%27 Sept →
anubis10–13-0.0616%27 Sept →
dust213–2-0.0528%27 Sept →
vertigo2–13-0.0950%27 Sept →
anubis13–8-0.0024%26 Sept →
vertigo13–100.1111%26 Sept →
dust27–13-0.0724%26 Sept →
cache2–13-0.0918%26 Sept →
ancient13–90.1014%26 Sept →
inferno13–6-0.0124%26 Sept →
mirage13–11-0.0514%25 Sept →
mirage9–13-0.028%25 Sept →
mirage11–13-0.0123%25 Sept →
mirage13–20.0815%25 Sept →
mirage14–160.0118%25 Sept →
inferno4–13-0.0013%25 Sept →
ancient13–40.0530%25 Sept →
ancient10–130.0715%24 Sept →
nuke13–7-0.0321%24 Sept →
ancient7–13-0.0622%24 Sept →
mirage13–6-0.0138%24 Sept →
inferno6–13-0.0713%24 Sept →
nuke10–13-0.0223%24 Sept →
train13–7-0.0417%24 Sept →
overpass1–130.0020%24 Sept →
inferno1–13-0.0812%24 Sept →
dust213–30.0315%24 Sept →
nuke13–70.0514%24 Sept →
nuke8–13-0.0221%23 Sept →
nuke16–130.0415%23 Sept →
anubis13–20.0321%23 Sept →
mirage16–140.107%23 Sept →
vertigo13–70.0215%23 Sept →
dust27–13-0.1017%23 Sept →
inferno2–13-0.170%22 Sept →
mirage13–2-0.0216%21 Sept →
nuke13–6-0.0320%21 Sept →
dust213–60.0121%21 Sept →
inferno10–13-0.0211%21 Sept →
inferno13–60.069%21 Sept →
ancient7–13-0.0514%21 Sept →
mirage5–13-0.0426%20 Sept →
ancient4–13-0.0119%20 Sept →
dust213–110.0414%20 Sept →
anubis13–70.0416%20 Sept →
dust210–130.0511%20 Sept →
nuke13–30.0511%20 Sept →
nuke13–90.0629%20 Sept →
train13–90.0429%20 Sept →
dust26–13-0.0527%19 Sept →
anubis13–6-0.0315%17 Sept →
ancient7–13-0.0213%17 Sept →
inferno13–10-0.0619%16 Sept →
mirage10–13-0.0418%15 Sept →
nuke13–40.1115%15 Sept →
inferno6–13-0.0610%14 Sept →
dust213–20.0914%14 Sept →
nuke11–13-0.085%11 Sept →
dust211–13-0.0321%11 Sept →
mirage13–2-0.0131%10 Sept →
train2–12-0.0727%7 Sept →
vertigo8–130.0319%7 Sept →
dust213–70.0524%6 Sept →
nuke7–13-0.0521%6 Sept →
train2–9-0.0941%5 Sept →
nuke11–13-0.0616%5 Sept →
nuke13–50.048%4 Sept →
inferno13–30.0524%4 Sept →
nuke6–130.0023%4 Sept →
ancient4–13-0.0312%3 Sept →
nuke11–13-0.0323%2 Sept →
vertigo13–50.0021%2 Sept →
mirage13–00.0521%2 Sept →
inferno13–100.0212%2 Sept →
ancient13–16-0.0312%2 Sept →
vertigo6–13-0.0318%1 Sept →
mirage13–8-0.0513%1 Sept →
mirage4–10.0422%1 Sept →
ancient13–30.0514%1 Sept →
inferno4–13-0.089%1 Sept →
dust20–13-0.0618%1 Sept →
dust213–5-0.036%1 Sept →
inferno13–00.000%1 Sept →
inferno5–130.0330%31 Aug →
inferno7–13-0.0612%28 Aug →
nuke13–9-0.0111%28 Aug →
vertigo10–10-0.0314%26 Aug →
overpass13–11-0.048%26 Aug →
ancient8–13-0.0419%25 Aug →
anubis6–130.0828%25 Aug →
nuke13–60.0123%25 Aug →
ancient13–10-0.015%21 Aug →

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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