K.I.L.L.I.S.S.U.E

K.I.L.L.I.S.S.U.E — CS2 Stats

AU76561198851067034[U:1:890801306]Steam profile ↗✓ No bans

1,789Tracked matches48%Win rate2020Tracked since
3,928Hours in CS15Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating19,634Top 50% of 212,695 CSDB-tracked playersPurple band · top ~10% of ranked players (population est.)
CSDB Leaderboard#90967 of 259593 tracked
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (8 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: 19,634 +4,696 21 Aug – 26 Oct · 34 days played
14,93819,654peak 19,65421 Aug26 Oct
19,654Peak Premier in tracked matches
55Days played since 2026-07-17

Premier CS Rating

  • 20 below peak (19,654)
  • +872 over 30 days · improving
  • Next: Pink band at 20,000 — 366 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate44.0%44.4%46.9%2.9% short
Shot accuracy15.0%11.9%13.0%above
Kill/death ratio1.111.031.08above
Match win rate43.4%45.2%46.7%3.2% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGK.I.L.L.I.S.S.U.EPREMIER19,634 · 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

Aim79
Positioning59
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY48–43–9Last 10048%Win rateLTWTWTWLWL

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · +0.2pp headshot accuracy · +18ms 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

  • 2–1–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 559ms

Last 10

  • 4–3–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 552ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 543ms

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 (+1.5 against its own average).

Aim7.9
Utility4.0
Positioning5.9
Opening Duels3.6
Clutch4.0

Limited utility dependence

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 93% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; lower utility contribution.

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

T openings. 64% T opening-duel success — entries that actually open the round.

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 64% 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

Aim7.9
Positioning5.9
Utility4.0
Mechanics6.5
Opening Duels6.0
Win Impact4.4

Composite 6.2/10 (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 0.02 → last ⅓ avg 0.00
Reaction time528ms+8ms
first ⅓ avg 520ms → last ⅓ avg 528ms
Headshot accuracy16.8%−3.9%
first ⅓ avg 20.7% → last ⅓ avg 16.8%

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

0.18Best match rating · 11–3 · cache, 23 Oct →
40%Best headshot accuracy · 3–1 · dust2, 9 Aug →
398msFastest reaction time · 13–7 · inferno, 1 Nov →
13–2Biggest win · nuke, 18 Jul →

Across the last 100 tracked matches.

Highlights

10Longest win streak
9–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 75% over 8dust2Weakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC219–1243%0.01
infernoA1911–858%-0.01
ancientB178–947%0.01
anubisB126–650%0.00
nukeA106–460%0.00
dust2D102–820%-0.00
cacheS86–275%0.05
train—20–20%0.01
vertigo—10–10%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

139,750Lifetime kills
1.11K/D · Top 50% of Purple band
7,316Matches
43.4%Match win rate
44.0%Headshot %
15.0%Shot accuracy · Top 50% of Purple band
20,247MVPs
2,034Hours (in match)
2,892Bombs planted
914Bombs defused

Most-used weapons

AK-4737,383
AWP16,853
SSG 083,894
MP93,078
SG 5532,519
MP72,486

Lifetime map wins

6,635inferno
6,513nuke
6,206dust2
4,631vertigo
2,937lake
1,202train
917cbble
246office

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

Faceit stats

Combat

16Matches
44%Win rate
0.88Avg K/D
86.7ADR
51%Headshot %

Clutches & streaks

40%1v1 clutch win
100%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Vertigo5100%0.9214.4
Mirage520%0.8416.4
Anubis1100%1.4516.0
Cache10%1.2525.0

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.

17.0%Headshot accuracy
34.3%Accuracy (enemy spotted)
41.3%Spray accuracy
79.4%Counter-strafing
8.2°Preaim
537msReaction time
63.6%T opening success
44.2%CT opening success
0.58Enemies flashed / flash
4.7%Flash assists
8.41HE damage / grenade
4.24Flashes / match

Recommended for you

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.0620%2 Nov →
dust212–120.0015%2 Nov →
inferno13–70.0425%1 Nov →
cache12–120.1417%1 Nov →
mirage13–10-0.0419%30 Oct →
nuke12–12-0.0618%29 Oct →
anubis13–50.0712%26 Oct →
train11–130.0315%23 Oct →
cache11–30.1813%23 Oct →
dust24–130.0218%23 Oct →
inferno13–8-0.0118%22 Oct →
dust213–110.0215%22 Oct →
train7–13-0.019%17 Oct →
anubis4–13-0.0228%17 Oct →
vertigo11–130.0018%16 Oct →
mirage11–13-0.0221%16 Oct →
dust29–13-0.034%16 Oct →
inferno13–7-0.0423%16 Oct →
ancient13–80.0621%11 Oct →
cache13–8-0.0414%11 Oct →
ancient13–16-0.0117%10 Oct →
dust26–13-0.0213%10 Oct →
ancient5–13-0.0514%10 Oct →
inferno13–90.0518%9 Oct →
inferno13–8-0.0620%9 Oct →
anubis13–9-0.047%3 Oct →
inferno13–11-0.0121%3 Oct →
anubis10–130.0321%2 Oct →
ancient7–130.0315%1 Oct →
anubis9–13-0.0220%1 Oct →
nuke13–10-0.0113%30 Sept →
dust211–130.0118%30 Sept →
anubis15–15-0.0114%29 Sept →
inferno6–13-0.0323%29 Sept →
anubis13–80.0213%28 Sept →
mirage8–130.0224%28 Sept →
anubis13–8-0.0419%24 Sept →
dust27–13-0.0218%24 Sept →
ancient6–13-0.0524%24 Sept →
inferno7–13-0.1021%23 Sept →
ancient8–13-0.0319%22 Sept →
mirage10–130.0120%21 Sept →
mirage10–130.0518%21 Sept →
ancient13–9-0.0519%17 Sept →
anubis13–90.0118%17 Sept →
cache13–50.0427%16 Sept →
dust24–13-0.058%15 Sept →
mirage6–130.0112%15 Sept →
mirage13–110.0621%13 Sept →
nuke13–8-0.0519%12 Sept →
cache8–130.0128%11 Sept →
nuke13–50.030%11 Sept →
inferno10–13-0.0512%11 Sept →
mirage13–60.1322%10 Sept →
ancient13–5-0.0218%6 Sept →
inferno8–0-0.0115%5 Sept →
ancient13–100.0220%5 Sept →
inferno13–11-0.0314%5 Sept →
inferno13–8-0.0323%5 Sept →
ancient13–70.0517%5 Sept →
mirage13–4-0.0026%3 Sept →
anubis16–140.0315%2 Sept →
mirage13–5-0.0525%31 Aug →
inferno5–13-0.0329%31 Aug →
mirage4–13-0.0631%30 Aug →
nuke16–130.0323%30 Aug →
nuke13–70.048%29 Aug →
mirage9–13-0.0318%28 Aug →
dust27–13-0.0322%28 Aug →
cache13–110.0419%28 Aug →
inferno15–15-0.0122%25 Aug →
mirage15–150.0422%25 Aug →
mirage14–160.0222%24 Aug →
mirage13–9-0.0331%23 Aug →
nuke8–130.0714%23 Aug →
cache13–30.0531%23 Aug →
ancient13–110.0016%23 Aug →
ancient16–140.0817%21 Aug →
cache13–70.0123%21 Aug →
inferno4–130.0116%20 Aug →
mirage9–130.0119%20 Aug →
inferno0–13-0.0133%19 Aug →
mirage13–100.0323%18 Aug →
anubis15–150.0113%18 Aug →
mirage9–130.0416%17 Aug →
mirage13–80.0521%16 Aug →
mirage15–15-0.0015%15 Aug →
anubis5–13-0.0219%15 Aug →
ancient13–160.0515%10 Aug →
ancient10–130.0217%9 Aug →
dust23–10.0540%9 Aug →
ancient13–70.0820%7 Aug →
ancient10–13-0.0221%23 Jul →
inferno15–150.0019%23 Jul →
inferno13–100.0519%22 Jul →
mirage16–120.0426%20 Jul →
inferno8–4-0.0117%20 Jul →
nuke13–20.0425%18 Jul →
ancient11–13-0.0122%18 Jul →
nuke9–130.0111%17 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
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.