psygnosis

psygnosis — CS2 Stats

76561198377589081[U:1:417323353]Steam profile ↗✓ No bans

904Tracked matches54%Win rate2022Tracked since
717Hours in CS6Hrs last 2 wks
CSDB Rating6.0 SolidSupport
Premier CS Rating14,908Blue band · top ~28.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (7 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: 14,908 -27 13 Jun – 25 Oct · 29 days played
12,95416,291peak 16,29113 Jun25 Oct
16,291Peak Premier in tracked matches
36Days played since 2026-06-13

Premier CS Rating

  • 1,383 below peak (16,291)
  • -203 over 30 days · steady
  • Next: Purple band at 15,000 — 92 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate49.7%42.0%44.4%above
Shot accuracy4.4%9.6%11.9%7.4% short
Kill/death ratio1.020.981.03meets
Match win rate51.4%43.8%45.2%above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGpsygnosisPREMIER14,908 · Blue bandcsdb.gg/stats

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Performance scores

Aim69
Positioning46
Utility84

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateLTWLWLLWWL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −2.3pp headshot accuracy · +102ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 709ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 639ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • 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: Support — Utility contribution stands above the rest of this profile (+3.6 against its own average).

Aim6.9
Utility8.4
Positioning4.6
Opening Duels1.3

High utility contribution

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

ZywOo

Plays most like ZywOo 68% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Utility. Utility score of 84 — grenade impact well above the norm.

Areas to improve

CT openings. Opening success drops from 62% on T to 36% on CT — first contacts on the defending side are being lost.

Reaction time. 613ms 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

Aim6.9
Positioning4.6
Utility8.4
Mechanics6.8
Opening Duels4.7
Win Impact6.2

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time585ms−52ms
first ⅓ avg 637ms → last ⅓ avg 585ms
Headshot accuracy19.9%−2.7%
first ⅓ avg 22.7% → 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

0.19Best match rating · 13–4 · inferno, 21 Sept →
75%Best headshot accuracy · 13–4 · ancient, 11 Oct →
406msFastest reaction time · 1–13 · inferno, 28 Jul →
13–0Biggest win · nuke, 16 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

mirageBest map · 78% over 18infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C2410–1442%0.00
mirageS1814–478%0.02
cacheA138–562%-0.00
ancientB137–654%-0.01
nukeB126–650%-0.02
anubisC73–443%0.04
infernoD62–433%0.02
vertigo—41–325%0.01
train—22–0100%0.05
office—10–10%-0.12

Across the last 100 tracked matches.

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

Lifetime stats

18,641Lifetime kills
1.02K/D · Top 50% of Blue band
1,028Matches
51.4%Match win rate · Top 10% of Blue band
49.7%Headshot % · Top 25% of Blue band
4.4%Shot accuracy
1,915MVPs
375Hours (in match)
1,259Bombs planted
248Bombs defused

Most-used weapons

Lifetime map wins

4,720dust2
724inferno
712nuke
213vertigo
184train
87office
19ar_shoots
6ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.1%Headshot accuracy
37.2%Accuracy (enemy spotted)
37.6%Spray accuracy
80.7%Counter-strafing
12.7°Preaim
613msReaction time
61.6%T opening success
36.3%CT opening success
0.70Enemies flashed / flash
15.0%Flash assists
10.27HE damage / grenade
19.55Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.651° — above the 12° mark we flag

    Aim Training →
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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache1–5-0.1233%25 Oct →
cache12–12-0.0422%25 Oct →
inferno13–80.0414%25 Oct →
dust25–130.0420%25 Oct →
mirage13–20.0232%22 Oct →
inferno9–13-0.0517%22 Oct →
mirage4–13-0.0312%22 Oct →
ancient13–11-0.0211%21 Oct →
dust213–80.0731%21 Oct →
anubis2–11-0.0210%19 Oct →
mirage8–13-0.0122%11 Oct →
anubis15–150.0844%11 Oct →
ancient13–4-0.0175%11 Oct →
mirage13–7-0.0217%11 Oct →
cache13–80.1523%11 Oct →
nuke13–90.1217%11 Oct →
dust21–5-0.110%8 Oct →
anubis3–130.000%5 Oct →
nuke3–13-0.0314%5 Oct →
mirage13–10-0.0014%5 Oct →
nuke5–13-0.0933%5 Oct →
anubis3–13-0.0221%5 Oct →
nuke13–8-0.0418%4 Oct →
dust27–130.0817%1 Oct →
mirage13–40.0624%1 Oct →
mirage13–20.0510%1 Oct →
cache13–9-0.0315%25 Sept →
dust213–100.0016%25 Sept →
ancient13–90.0427%25 Sept →
ancient7–13-0.0524%24 Sept →
dust213–10-0.0315%24 Sept →
ancient9–13-0.110%21 Sept →
dust24–13-0.0412%21 Sept →
inferno13–40.1924%21 Sept →
ancient8–130.0515%19 Sept →
nuke13–8-0.0221%17 Sept →
nuke5–13-0.0324%16 Sept →
mirage13–30.1217%16 Sept →
nuke13–0-0.0230%16 Sept →
dust213–10.0027%16 Sept →
mirage15–150.0625%13 Sept →
ancient14–16-0.0216%13 Sept →
mirage13–8-0.0430%13 Sept →
dust213–11-0.0723%13 Sept →
mirage13–60.0819%13 Sept →
cache13–30.1211%12 Sept →
nuke13–5-0.0615%12 Sept →
dust23–130.0731%12 Sept →
anubis13–110.0717%12 Sept →
ancient2–13-0.1017%10 Sept →
ancient13–20.0322%10 Sept →
nuke5–13-0.0520%2 Sept →
dust23–13-0.0025%1 Sept →
dust213–80.1528%20 Aug →
cache13–7-0.0215%20 Aug →
anubis13–20.1233%20 Aug →
dust210–13-0.0521%17 Aug →
train13–00.0817%17 Aug →
mirage13–9-0.0214%17 Aug →
dust210–130.0119%17 Aug →
dust213–80.0126%15 Aug →
train13–50.0325%15 Aug →
vertigo6–1-0.0133%15 Aug →
cache8–13-0.1150%10 Aug →
vertigo11–130.028%31 Jul →
cache13–20.0819%31 Jul →
dust211–13-0.0213%31 Jul →
cache13–110.0320%31 Jul →
mirage13–70.0111%31 Jul →
anubis16–130.0617%30 Jul →
cache5–13-0.0917%30 Jul →
vertigo12–120.0414%30 Jul →
vertigo0–12-0.0229%30 Jul →
dust212–12-0.0621%30 Jul →
cache8–20.0112%28 Jul →
cache0–130.0322%28 Jul →
dust213–8-0.0023%28 Jul →
inferno1–13-0.0211%28 Jul →
mirage13–5-0.0218%28 Jul →
dust21–130.0424%28 Jul →
inferno1–7-0.0417%19 Jul →
inferno8–130.0123%19 Jul →
mirage16–140.0522%16 Jul →
dust213–10.024%16 Jul →
office0–6-0.120%14 Jul →
nuke13–60.1229%14 Jul →
nuke1–13-0.0840%6 Jul →
cache13–8-0.0573%6 Jul →
dust26–13-0.0431%30 Jun →
nuke6–13-0.0040%20 Jun →
dust28–13-0.0419%20 Jun →
dust214–16-0.0131%18 Jun →
dust213–70.0619%18 Jun →
mirage13–80.000%14 Jun →
mirage5–13-0.0124%14 Jun →
ancient13–70.0516%14 Jun →
mirage13–90.0322%13 Jun →
ancient11–13-0.0739%13 Jun →
ancient16–13-0.0125%13 Jun →
ancient13–80.0537%13 Jun →

Match data via Leetify.

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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