Psy'moon

Psy'moon — CS2 Stats

76561198387072606[U:1:426806878]Steam profile ↗✓ No bans

754Tracked matches38%Win rate2023Tracked since
CSDB Rating4.9 DevelopingClutch Specialist
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 754 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 26,877 -223 28 Mar – 4 Jul · 16 days played
26,33728,519peak 28,51928 Mar4 Jul
28,519Peak Premier in tracked matches
39Days played since 2026-03-17

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

Share this profile

CSDB.GGPsy'moonFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim74
Positioning36
Utility38

0–100 skill scores via Leetify.

Recent form

COLD51–43–6Last 10051%Win rateTLLLWLWLLW

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · +4.8pp headshot accuracy · −1ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 26%
  • Avg reaction 578ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 603ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 604ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5.7 against its own average).

Aim7.4
Utility3.8
Positioning3.6
Opening Duels0.0
Clutch10.0

Strong CT-side openerReliable in 1v1s

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

b1t

Plays most like b1t 94% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success; lower positioning 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

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 40% on CT to 13% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 601ms 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

Aim7.4
Positioning3.6
Utility3.8
Mechanics8.1
Opening Duels1.2
Win Impact1.0

Composite 4.9/10 (Developing), 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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time609ms+4ms
first ⅓ avg 605ms → last ⅓ avg 609ms
Headshot accuracy21.7%−2.6%
first ⅓ avg 24.3% → last ⅓ avg 21.7%

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

0.17Best match rating · 13–2 · ancient, 26 Apr →
48%Best headshot accuracy · 11–1 · dust2, 28 Apr →
391msFastest reaction time · 4–13 · mirage, 28 Jun →
13–0Biggest win · dust2, 25 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–1In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 61% over 31infernoWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A3119–1261%-0.00
mirageC2511–1444%-0.03
infernoC146–843%0.00
ancientA116–555%-0.01
anubisC94–544%-0.01
nukeB63–350%-0.01
cache—21–150%-0.00
overpass—21–150%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5Matches
40%Win rate
0.84Avg K/D
71.9ADR
26%Headshot %

Clutches & streaks

100%1v1 clutch win
50%1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust21100%1.2316.0
Nuke10%1.0617.0
Ancient10%0.8218.0
Mirage1100%0.587.0

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.

21.0%Headshot accuracy
32.9%Accuracy (enemy spotted)
36.0%Spray accuracy
86.6%Counter-strafing
9.6°Preaim
601msReaction time
13.3%T opening success
39.5%CT opening success
0.46Enemies flashed / flash
7.6%Flash assists
7.60HE damage / grenade
5.34Flashes / 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 0.4575 — below the 0.5 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 13.3225% — below the 40% mark we flag

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.

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis12–120.0521%20 Sept →
anubis4–13-0.0232%20 Sept →
dust28–13-0.0441%12 Jul →
mirage10–13-0.0518%12 Jul →
dust213–60.0420%12 Jul →
dust21–13-0.0724%12 Jul →
anubis13–80.0624%12 Jul →
mirage7–13-0.029%9 Jul →
dust24–13-0.0825%8 Jul →
mirage13–90.0825%7 Jul →
mirage13–100.0223%6 Jul →
ancient16–13-0.0518%4 Jul →
dust210–130.0122%4 Jul →
anubis13–4-0.0328%4 Jul →
mirage3–13-0.065%4 Jul →
mirage10–13-0.0913%4 Jul →
inferno2–7-0.0625%28 Jun →
mirage7–13-0.0516%28 Jun →
mirage4–13-0.1020%28 Jun →
anubis10–13-0.0124%28 Jun →
mirage16–130.0122%28 Jun →
dust213–7-0.0031%27 Jun →
mirage14–16-0.0411%27 Jun →
inferno16–13-0.0216%22 Jun →
mirage3–13-0.0116%22 Jun →
ancient1–13-0.0828%19 May →
dust213–9-0.0121%11 May →
dust213–40.1427%11 May →
dust22–13-0.0417%11 May →
nuke5–13-0.0321%10 May →
ancient10–13-0.0624%10 May →
anubis3–13-0.0316%10 May →
inferno4–13-0.0431%10 May →
mirage7–13-0.1012%10 May →
mirage13–110.0033%3 May →
dust213–5-0.0530%3 May →
inferno13–70.0421%3 May →
cache13–30.0524%3 May →
cache12–12-0.0528%3 May →
inferno6–13-0.0525%2 May →
dust213–50.0314%2 May →
dust27–13-0.0320%2 May →
inferno13–10-0.0418%28 Apr →
anubis8–13-0.0218%28 Apr →
dust216–14-0.0328%28 Apr →
dust211–10.0048%28 Apr →
mirage13–7-0.0519%28 Apr →
ancient12–16-0.0715%27 Apr →
dust213–11-0.0336%27 Apr →
dust213–20.0621%27 Apr →
ancient13–20.1723%26 Apr →
dust213–00.0826%25 Apr →
mirage13–90.0519%25 Apr →
mirage5–13-0.0524%24 Apr →
nuke13–8-0.0217%24 Apr →
inferno12–120.0019%24 Apr →
mirage13–80.0419%16 Apr →
mirage13–8-0.0719%15 Apr →
anubis13–5-0.0120%15 Apr →
dust213–10-0.0619%15 Apr →
mirage13–6-0.0328%15 Apr →
overpass9–13-0.0122%14 Apr →
inferno13–20.0114%13 Apr →
nuke9–13-0.0220%13 Apr →
anubis13–5-0.0213%13 Apr →
inferno13–80.1132%12 Apr →
ancient13–9-0.0424%10 Apr →
dust210–130.0231%10 Apr →
dust23–13-0.0726%10 Apr →
mirage8–13-0.0415%8 Apr →
ancient7–13-0.0228%8 Apr →
dust213–6-0.0127%8 Apr →
dust213–8-0.0125%8 Apr →
mirage3–130.0421%7 Apr →
inferno10–13-0.0127%7 Apr →
dust210–130.0426%5 Apr →
ancient13–110.0114%5 Apr →
ancient13–4-0.047%3 Apr →
dust26–130.0531%3 Apr →
dust213–90.0733%30 Mar →
dust213–10-0.0141%29 Mar →
inferno13–9-0.0026%29 Mar →
dust215–15-0.0029%28 Mar →
inferno9–13-0.0121%28 Mar →
mirage4–13-0.0712%28 Mar →
dust213–5-0.0133%28 Mar →
dust213–30.0031%28 Mar →
dust213–11-0.0120%28 Mar →
mirage7–13-0.0331%28 Mar →
mirage13–6-0.0424%27 Mar →
nuke7–13-0.0131%27 Mar →
ancient13–90.1031%27 Mar →
mirage13–100.0218%26 Mar →
inferno8–8-0.0025%23 Mar →
inferno6–90.0816%22 Mar →
nuke13–30.0515%22 Mar →
ancient12–12-0.0613%22 Mar →
overpass13–2-0.0037%21 Mar →
nuke13–8-0.0121%17 Mar →
dust22–13-0.0720%17 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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