Killer ッ

Killer ッ — CS2 Stats

76561198866124276[U:1:905858548]Steam profile ↗✓ No bans

2,644Tracked matches41%Win rate2023Tracked since
2,540Hours in CS33Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating9,062Light Blue band · top ~59.4% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (yesterday). 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: 9,062 -6,040 21 Oct – 2 Nov · 5 days played
8,54317,342peak 17,34221 Oct2 Nov
17,342Peak Premier in tracked matches
21Days played since 2026-08-21

Premier CS Rating

  • 8,280 below peak (17,342)
  • Next: Blue band at 10,000 — 938 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=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 rate51.1%44.8%45.7%above
Shot accuracy2.7%12.4%12.7%10.1% short
Kill/death ratio1.291.031.05above
Match win rate46.8%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.GGKiller ッFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER9,062 · Light Blue 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

Aim76
Positioning53
Utility28

0–100 skill scores via Leetify.

Recent form

COLD53–43–4Last 10053%Win rateLLLWLLWWLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +1.8pp headshot accuracy · −59ms reaction

Win rate down 20pp 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 566ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 559ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 588ms

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).

Aim7.6
Utility2.8
Positioning5.3
Opening Duels3.1
Clutch4.2

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

donk

Plays most like donk 91% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; 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

Areas to improve

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

Reaction time. 593ms 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

Aim7.6
Positioning5.3
Utility2.8
Mechanics7.5
Opening Duels3.5
Win Impact2.1

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time600ms+34ms
first ⅓ avg 566ms → last ⅓ avg 600ms
Headshot accuracy17.7%−0.3%
first ⅓ avg 18.0% → last ⅓ avg 17.7%

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

0.20Best match rating · 13–7 · dust2, 28 Aug →
33%Best headshot accuracy · 13–3 · office, 1 Oct →
375msFastest reaction time · 13–3 · fachwerk, 29 Aug →
13–1Biggest win · dust2, 1 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
7–9In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 75% over 12officeWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A159–660%0.01
cacheA138–562%0.01
mirageC135–838%0.00
infernoS129–375%0.00
officeD113–827%-0.00
ancientC94–544%0.02
anubisS64–267%0.01
nukeC52–340%0.02
vertigo—42–250%0.03
fachwerk—33–0100%0.02
italy—20–20%-0.05
boulder—21–150%0.01
shelter—22–0100%0.02
overpass—21–150%0.01
train—10–10%0.00

Across the last 100 tracked matches.

Lifetime stats

78,816Lifetime kills
1.29K/D · Top 25% of Level 6 players
3,934Matches
46.8%Match win rate · Top 50% of Level 6 players
51.1%Headshot % · Top 25% of Level 6 players
2.7%Shot accuracy
10,205MVPs
1,356Hours (in match)
1,392Bombs planted
869Bombs defused

Most-used weapons

AK-4738,226
MP92,238
AWP1,633
MAC-101,501
Knife554

Lifetime map wins

5,006nuke
3,903dust2
3,520inferno
2,104vertigo
1,472office
1,398train
432italy
18ar_shoots

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

Faceit stats

Combat

35Matches
66%Win rate
1.19Avg K/D
85.8ADR
44%Headshot %

Clutches & streaks

41%1v1 clutch win
15%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1070%1.3919.2
Ancient757%0.8512.0
Dust2667%1.0814.7
Anubis580%1.3918.2
Nuke333%1.2019.7
Inferno367%1.1127.0
Cache1100%1.5021.0

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.

17.9%Headshot accuracy
36.5%Accuracy (enemy spotted)
36.4%Spray accuracy
83.9%Counter-strafing
9.0°Preaim
593msReaction time
39.1%T opening success
48.8%CT opening success
0.51Enemies flashed / flash
5.2%Flash assists
11.26HE damage / grenade
2.67Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.6709 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 39.0835% — below the 40% mark we flag

Spend your practice time on Mirage

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
office10–13-0.0421%2 Nov →
cache7–13-0.0330%2 Nov →
inferno5–13-0.0012%2 Nov →
dust213–100.0113%2 Nov →
ancient11–130.0315%1 Nov →
mirage5–13-0.0719%1 Nov →
dust213–11-0.0514%1 Nov →
anubis13–40.0928%31 Oct →
office5–13-0.0016%31 Oct →
dust25–13-0.008%31 Oct →
anubis3–13-0.059%31 Oct →
nuke7–130.0312%31 Oct →
dust28–13-0.0415%31 Oct →
anubis13–5-0.0110%22 Oct →
ancient13–40.0111%22 Oct →
dust213–5-0.0721%22 Oct →
mirage9–130.0228%22 Oct →
ancient13–10-0.038%22 Oct →
inferno13–100.0118%22 Oct →
mirage8–130.0127%22 Oct →
dust213–80.0224%21 Oct →
inferno13–110.0719%21 Oct →
nuke13–40.0314%21 Oct →
ancient13–160.0421%21 Oct →
ancient11–130.0014%20 Oct →
inferno13–5-0.0213%20 Oct →
ancient11–13-0.0119%20 Oct →
dust215–15-0.0019%20 Oct →
cache7–13-0.0127%20 Oct →
mirage7–130.0427%20 Oct →
mirage13–70.0722%20 Oct →
cache13–70.0616%20 Oct →
cache13–9-0.0613%20 Oct →
office8–13-0.0211%20 Oct →
cache9–13-0.1028%20 Oct →
inferno13–11-0.0424%13 Oct →
italy11–13-0.0410%3 Oct →
office6–13-0.077%3 Oct →
vertigo13–90.0730%3 Oct →
inferno6–130.0220%3 Oct →
cache13–11-0.0315%3 Oct →
inferno13–10-0.0418%1 Oct →
dust213–1-0.0415%1 Oct →
office13–30.0333%1 Oct →
anubis13–8-0.0017%1 Oct →
cache13–40.0512%1 Oct →
boulder2–13-0.0420%1 Oct →
inferno5–13-0.0414%24 Sept →
office13–50.0424%24 Sept →
italy11–13-0.0523%24 Sept →
train12–120.0030%24 Sept →
cache13–3-0.0414%24 Sept →
vertigo13–8-0.0311%24 Sept →
dust25–13-0.0720%18 Sept →
dust212–120.0217%15 Sept →
dust213–30.1018%15 Sept →
fachwerk13–5-0.0212%12 Sept →
mirage13–6-0.0517%12 Sept →
shelter13–40.0217%12 Sept →
ancient13–80.0815%12 Sept →
cache6–130.0026%12 Sept →
inferno13–50.0123%12 Sept →
mirage13–6-0.0520%10 Sept →
overpass13–50.058%10 Sept →
anubis13–11-0.0412%10 Sept →
inferno13–60.0020%10 Sept →
office10–130.0118%10 Sept →
cache13–30.0822%10 Sept →
nuke13–50.0419%10 Sept →
cache12–120.1215%5 Sept →
overpass2–13-0.0316%5 Sept →
inferno13–60.0518%5 Sept →
vertigo11–130.0219%5 Sept →
cache13–110.0218%5 Sept →
nuke8–130.0114%5 Sept →
ancient3–13-0.0123%1 Sept →
mirage2–13-0.0814%1 Sept →
office13–10.0620%29 Aug →
inferno13–110.0021%29 Aug →
cache10–20.0417%29 Aug →
shelter13–20.036%29 Aug →
fachwerk13–30.0815%29 Aug →
mirage8–20.0711%29 Aug →
dust213–70.2033%28 Aug →
anubis7–130.0823%28 Aug →
ancient9–60.0314%28 Aug →
dust27–13-0.0117%28 Aug →
nuke14–16-0.0319%28 Aug →
mirage13–40.0715%25 Aug →
boulder13–90.0516%25 Aug →
office6–130.0421%25 Aug →
vertigo8–130.0615%25 Aug →
mirage11–13-0.0313%25 Aug →
mirage3–130.0327%22 Aug →
fachwerk13–90.0014%22 Aug →
office5–13-0.0519%22 Aug →
office11–13-0.0016%22 Aug →
mirage4–13-0.0015%22 Aug →
dust213–40.0029%21 Aug →
dust213–100.0821%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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