PNymous

PNymous — CS2 Stats

HN76561198229961196[U:1:269695468]Steam profile ↗✓ No bans

510Tracked matches26%Win rate2020Tracked since
CSDB Rating3.0 LearningSupport
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 — still 510 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 9,313 -1,413 19 Mar – 12 Jul · 19 days played
8,79811,574peak 11,57419 Mar12 Jul
11,574Peak Premier in tracked matches
65Days played since 2025-03-15

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

Performance scores

Aim27
Positioning36
Utility49

0–100 skill scores via Leetify.

Recent form

COLD31–62–7Last 10031%Win rateLTWLLTLLLL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +3.3pp headshot accuracy · +118ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 736ms

Last 10

  • 1–7–2 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 720ms

Last 20

  • 5–12–3 · 25% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 661ms

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 (+2.8 against its own average).

Aim2.7
Utility4.9
Positioning3.6
Opening Duels0.0
Clutch0.0

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

iM

Plays most like iM 63% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower aim 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

Reaction time. 674ms 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

Aim2.7
Positioning3.6
Utility4.9
Mechanics5.1
Opening Duels0.1
Win Impact0.0

Composite 3.0/10 (Learning), 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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time674ms−12ms
first ⅓ avg 686ms → last ⅓ avg 674ms
Headshot accuracy17.1%+2.3%
first ⅓ avg 14.7% → last ⅓ avg 17.1%

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

0.09Best match rating · 13–0 · overpass, 17 Aug →
31%Best headshot accuracy · 1–13 · ancient, 25 Aug →
477msFastest reaction time · 6–13 · anubis, 16 Mar →
13–0Biggest win · overpass, 17 Aug →

Across the last 100 tracked matches.

Highlights

2Longest win streak
3–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 60% over 5dust2Weakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
nukeD185–1328%-0.02
anubisD165–1131%-0.03
infernoD154–1127%-0.04
dust2D143–1121%-0.04
ancientC114–736%-0.05
trainC104–640%-0.05
mirageA53–260%-0.02
vertigo—41–325%-0.02
cache—20–20%-0.03
boulder—10–10%-0.05
fachwerk—11–0100%-0.04
grail—10–10%-0.05
overpass—11–0100%0.09
agency—10–10%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5Matches
60%Win rate
0.99Avg K/D
76.3ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Anubis2100%0.9612.5
Nuke1100%1.3316.0
Vertigo10%0.7814.0
Dust210%0.9313.0

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
24.6%Accuracy (enemy spotted)
23.2%Spray accuracy
73.0%Counter-strafing
10.6°Preaim
674msReaction time
18.9%T opening success
30.6%CT opening success
0.50Enemies flashed / flash
1.5%Flash assists
10.28HE damage / grenade
7.88Flashes / 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

    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 18.888% — below the 40% mark we flag

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.

21% win rate across 14 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
boulder3–13-0.0523%11 Aug →
vertigo12–12-0.0225%4 Aug →
fachwerk13–6-0.048%22 Jul →
ancient8–13-0.0412%3 Jul →
cache10–13-0.0519%3 Jul →
anubis12–12-0.0421%4 May →
cache5–13-0.0024%4 May →
inferno5–13-0.0612%27 Feb →
anubis4–13-0.0627%25 Feb →
nuke11–13-0.007%24 Feb →
anubis11–13-0.0220%20 Jan →
inferno5–13-0.0118%10 Jan →
nuke15–15-0.0213%6 Jan →
inferno13–4-0.0213%4 Jan →
dust24–13-0.0215%16 Dec →
dust25–13-0.0713%2 Dec →
dust213–30.0514%1 Dec →
train5–130.0116%1 Dec →
ancient13–9-0.0314%26 Nov →
inferno13–10-0.0410%17 Nov →
ancient6–13-0.0420%16 Nov →
inferno6–13-0.0422%3 Nov →
nuke8–130.0020%27 Oct →
anubis11–130.0119%14 Oct →
ancient13–16-0.0618%10 Oct →
ancient4–13-0.0714%29 Sept →
ancient13–11-0.0720%29 Sept →
mirage13–9-0.0417%28 Sept →
ancient13–16-0.0520%3 Sept →
grail10–13-0.0517%28 Aug →
nuke5–13-0.0625%25 Aug →
vertigo13–6-0.0410%25 Aug →
mirage10–13-0.0518%25 Aug →
ancient1–13-0.0631%25 Aug →
nuke12–12-0.0424%24 Aug →
anubis13–40.0119%20 Aug →
mirage13–9-0.048%20 Aug →
anubis7–13-0.0114%18 Aug →
ancient13–20.015%18 Aug →
ancient8–13-0.0515%18 Aug →
nuke9–13-0.079%18 Aug →
inferno3–130.029%17 Aug →
nuke10–13-0.046%17 Aug →
overpass13–00.0921%17 Aug →
ancient13–2-0.0510%17 Aug →
dust23–13-0.0313%16 Aug →
inferno6–13-0.0815%16 Aug →
nuke9–13-0.0510%14 Aug →
train13–6-0.0019%14 Aug →
dust215–15-0.039%12 Aug →
inferno13–60.059%12 Aug →
dust28–13-0.0423%11 Aug →
train5–13-0.0617%11 Aug →
train2–13-0.0617%10 Aug →
nuke2–13-0.0215%10 Aug →
train6–13-0.106%10 Aug →
agency5–13-0.0315%21 Jul →
anubis13–11-0.0513%20 Jul →
anubis9–13-0.028%18 Jul →
dust210–13-0.0523%18 Jul →
anubis9–13-0.0512%15 Jul →
anubis13–2-0.0611%12 Jul →
nuke13–00.0524%12 Jul →
dust21–13-0.0710%12 Jul →
train13–6-0.0117%12 Jul →
inferno7–13-0.0511%12 Jul →
dust215–15-0.0517%7 Jul →
mirage8–130.0214%7 Jul →
inferno1–13-0.0922%1 Jul →
anubis11–13-0.0618%29 Jun →
train4–13-0.1230%29 Jun →
anubis9–13-0.0514%22 Jun →
inferno7–13-0.104%12 Jun →
nuke13–110.0316%11 Jun →
dust213–9-0.0221%10 Jun →
inferno13–16-0.049%27 May →
inferno13–16-0.0819%12 May →
nuke10–13-0.0715%12 May →
dust210–13-0.058%18 Apr →
train13–8-0.0512%14 Apr →
inferno16–12-0.038%10 Apr →
dust24–13-0.115%6 Apr →
anubis9–13-0.069%6 Apr →
inferno7–13-0.0617%5 Apr →
anubis13–70.0129%1 Apr →
nuke5–13-0.0610%31 Mar →
nuke13–90.0614%31 Mar →
mirage13–5-0.0221%30 Mar →
nuke9–13-0.0612%27 Mar →
vertigo11–130.0024%27 Mar →
nuke13–80.0520%24 Mar →
train11–13-0.0620%23 Mar →
vertigo10–13-0.0511%23 Mar →
nuke13–8-0.0410%19 Mar →
dust213–9-0.0115%19 Mar →
nuke12–12-0.019%17 Mar →
train13–9-0.0414%16 Mar →
dust27–13-0.0310%16 Mar →
anubis6–130.0113%16 Mar →
anubis16–12-0.0515%15 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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