Psych☯k1llerZ

Psych☯k1llerZ — CS2 Stats

BD76561198107458961[U:1:147193233]Steam profile ↗✓ No bans

1,284Tracked matches59%Win rate2025Tracked since
CSDB Rating5.9 SolidPositional Player
Premier CS Rating17,439Purple band · top ~18.7% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 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: 17,439 -3,427 1 Sept – 11 Nov · 26 days played
17,11020,866peak 20,8661 Sept11 Nov
20,866Peak Premier in tracked matches
44Days played since 2026-09-01

Premier CS Rating

  • 3,427 below peak (20,866)
  • -1,707 over 30 days · declining
  • Next: Pink band at 20,000 — 2,561 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGPsych☯k1llerZFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER17,439 · Purple bandcsdb.gg/stats

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Performance scores

Aim73
Positioning58
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY42–44–14Last 10042%Win rateLWTWWLWTLT

Last 10 vs previous 10: 0pp win rate · +0.05 avg rating · −3.2pp headshot accuracy · −80ms reaction

Win rate 0pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 506ms

Last 10

  • 4–3–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 550ms

Last 20

  • 8–6–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 590ms

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).

Aim7.3
Utility3.4
Positioning5.8
Opening Duels3.5
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

donk

Plays most like donk 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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. 581ms 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

Aim7.3
Positioning5.8
Utility3.4
Mechanics5.5
Opening Duels4.6
Win Impact8.0

Composite 5.9/10 (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 time584ms+10ms
first ⅓ avg 574ms → last ⅓ avg 584ms
Headshot accuracy22.2%+2.3%
first ⅓ avg 19.9% → last ⅓ avg 22.2%

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

0.21Best match rating · 13–7 · dust2, 3 Oct →
45%Best headshot accuracy · 13–10 · inferno, 20 Oct →
391msFastest reaction time · 1–13 · anubis, 16 Oct →
13–2Biggest win · cache, 16 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 54% over 13anubisWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B2714–1352%0.00
mirageD217–1433%0.03
cacheB137–654%0.00
infernoC135–838%-0.00
anubisD103–730%0.02
officeC52–340%-0.02
nukeC52–340%-0.03
train—21–150%0.06
ancient—20–20%-0.00
vertigo—21–150%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

541Matches
51%Win rate
1.19Avg K/D
76.9ADR
46%Headshot %

Clutches & streaks

40%1v1 clutch win
17%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4544%1.0516.6
Anubis3253%1.1615.7
Dust23158%1.0415.4
Ancient2941%0.9113.0
Inferno2752%1.0516.1
Nuke1631%1.0213.4
Cache1354%1.1116.0
Overpass450%0.8612.0

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.

22.7%Headshot accuracy
35.3%Accuracy (enemy spotted)
32.8%Spray accuracy
74.7%Counter-strafing
8.9°Preaim
581msReaction time
50.2%T opening success
46.7%CT opening success
0.35Enemies flashed / flash
5.9%Flash assists
8.67HE damage / grenade
4.75Flashes / 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 0.3513 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis6–13-0.0512%14 Nov →
office13–100.0327%13 Nov →
mirage12–120.1235%12 Nov →
cache16–140.0320%11 Nov →
dust213–11-0.0122%11 Nov →
nuke9–13-0.0117%8 Nov →
anubis13–40.1221%8 Nov →
mirage12–120.0818%7 Nov →
dust24–13-0.0223%7 Nov →
mirage12–120.0918%7 Nov →
dust213–7-0.0216%7 Nov →
dust213–10-0.0514%7 Nov →
nuke8–130.0114%6 Nov →
inferno10–13-0.0128%6 Nov →
nuke13–80.0128%4 Nov →
anubis4–13-0.0827%4 Nov →
mirage12–12-0.0327%4 Nov →
cache12–120.0328%3 Nov →
office12–120.0033%2 Nov →
dust213–50.0129%1 Nov →
cache10–13-0.0129%1 Nov →
dust213–10-0.0716%30 Oct →
office13–50.0112%30 Oct →
cache6–13-0.0920%29 Oct →
cache13–50.0524%24 Oct →
dust213–110.0325%24 Oct →
dust213–6-0.0415%23 Oct →
mirage8–80.0141%23 Oct →
cache12–12-0.0123%23 Oct →
mirage12–120.0621%22 Oct →
mirage9–130.1119%22 Oct →
dust211–130.0829%22 Oct →
cache13–7-0.034%22 Oct →
inferno2–13-0.0418%21 Oct →
anubis12–120.0717%21 Oct →
inferno14–16-0.0041%21 Oct →
cache13–80.0522%21 Oct →
anubis13–40.0824%21 Oct →
office3–13-0.0721%21 Oct →
office12–12-0.0524%21 Oct →
cache10–13-0.0224%21 Oct →
inferno13–100.0245%20 Oct →
inferno13–80.0122%20 Oct →
cache13–100.0317%19 Oct →
dust213–100.0125%19 Oct →
anubis13–70.1018%18 Oct →
dust25–130.0117%18 Oct →
dust211–130.0722%18 Oct →
dust213–6-0.0115%17 Oct →
cache13–20.0516%16 Oct →
anubis1–130.0026%16 Oct →
mirage13–80.0622%16 Oct →
dust212–120.0126%16 Oct →
dust213–80.0916%16 Oct →
inferno6–13-0.0032%15 Oct →
dust28–13-0.0521%14 Oct →
mirage4–130.0218%14 Oct →
mirage13–100.0839%13 Oct →
mirage1–9-0.0923%13 Oct →
mirage13–11-0.0721%12 Oct →
mirage13–5-0.0029%12 Oct →
dust210–13-0.0434%11 Oct →
cache13–60.0126%10 Oct →
dust213–100.0335%9 Oct →
nuke9–13-0.0221%9 Oct →
dust210–13-0.0140%9 Oct →
dust213–30.058%9 Oct →
train13–80.0824%9 Oct →
mirage13–20.0133%7 Oct →
train12–120.0419%7 Oct →
dust213–6-0.0819%7 Oct →
mirage6–130.0521%6 Oct →
inferno13–40.1116%6 Oct →
dust213–70.2124%3 Oct →
inferno13–50.0218%3 Oct →
ancient8–10-0.028%3 Oct →
dust28–13-0.068%3 Oct →
inferno5–13-0.0118%2 Oct →
inferno5–13-0.0125%2 Oct →
inferno13–50.0125%2 Oct →
dust22–13-0.0721%2 Oct →
dust25–13-0.0217%1 Oct →
mirage12–12-0.0612%29 Sept →
mirage13–100.0216%29 Sept →
inferno3–13-0.0224%29 Sept →
mirage4–13-0.0222%28 Sept →
dust28–130.0317%28 Sept →
dust25–13-0.0816%27 Sept →
inferno0–13-0.1215%27 Sept →
nuke13–5-0.1327%27 Sept →
mirage13–50.0129%26 Sept →
anubis10–13-0.0614%26 Sept →
mirage5–130.0314%25 Sept →
vertigo13–50.1122%25 Sept →
mirage11–130.0313%24 Sept →
ancient8–130.0138%24 Sept →
vertigo8–13-0.0218%23 Sept →
cache0–13-0.0317%22 Sept →
anubis12–12-0.0117%21 Sept →
anubis6–13-0.0226%19 Sept →

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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