pyra

pyra — CS2 Stats

76561198039022429[U:1:78756701]Steam profile ↗✓ No bans

772Tracked matches64%Win rate2020Tracked since
10,298Hours in CS
CSDB Rating5.1 DevelopingSupport
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 772 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,000 +307 4 Jan – 5 Jul · 26 days played
19,61122,157peak 22,1574 Jan5 Jul
22,274Peak Premier in tracked matches
49Days played since 2026-01-04

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

Compare periods

Last 7 days vs previous 7

No matches recorded between 23 Oct 2026 and 1 Nov 2026.

Measured 23 Oct 2026 → 1 Nov 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate71.0%45.7%46.8%above
Shot accuracy17.1%12.7%13.0%above
Kill/death ratio0.871.051.060.19 short
Match win rate44.0%45.7%46.3%2.3% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpyraFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.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

Aim40
Positioning42
Utility58

0–100 skill scores via Leetify.

Recent form

HOT50–47–3Last 10050%Win rateWWLWWLWWLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +7.6pp headshot accuracy · +35ms reaction

Win rate up 20pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 655ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 635ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 617ms

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).

Aim4.0
Utility5.8
Positioning4.2
Opening Duels1.8
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

ZywOo

Plays most like ZywOo 69% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 657ms 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

Aim4.0
Positioning4.2
Utility5.8
Mechanics6.9
Opening Duels1.5
Win Impact9.8

Composite 5.1/10 (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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time635ms−30ms
first ⅓ avg 664ms → last ⅓ avg 635ms
Headshot accuracy17.6%−4.6%
first ⅓ avg 22.2% → last ⅓ avg 17.6%

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

0.12Best match rating · 9–4 · poseidon, 25 Jan →
75%Best headshot accuracy · 1–3 · inferno, 31 Aug →
109msFastest reaction time · 1–3 · inferno, 31 Aug →
13–0Biggest win · inferno, 13 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
6–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 58% over 12nukeWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
mirageC208–1240%-0.04
cacheA1810–856%-0.05
nukeC187–1139%-0.05
infernoA148–657%-0.03
dust2A127–558%-0.04
overpass—31–233%-0.04
ancient—22–0100%-0.05
poseidon—21–150%0.03
golden—21–150%-0.06
office—11–0100%-0.00
fachwerk—11–0100%0.02
shelter—10–10%0.02
boulder—11–0100%0.01
stronghold—11–0100%-0.05
warden—10–10%-0.07
anubis—10–10%-0.02
palacio—10–10%-0.02
train—11–0100%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

141,943Lifetime kills
0.87K/D
3,584Matches
44.0%Match win rate
71.0%Headshot % · Top 5% of Level 7 players
17.1%Shot accuracy · Top 25% of Level 7 players
6,897MVPs
10,298Hours (in match)
2,459Bombs planted
812Bombs defused

Most-used weapons

AK-4772,522
AWP5,651
SSG 083,749
P2503,565
MP91,206

Lifetime map wins

8,860inferno
5,183dust2
2,950nuke
924train
841vertigo
119bank
89lake
88cbble

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

Faceit stats

Combat

272Matches
58%Win rate
1.07Avg K/D
52.0ADR
51%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWLL

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.

14.9%Headshot accuracy
27.9%Accuracy (enemy spotted)
31.9%Spray accuracy
80.9%Counter-strafing
11.5°Preaim
657msReaction time
35.7%T opening success
36.0%CT opening success
0.61Enemies flashed / flash
8.4%Flash assists
7.63HE damage / grenade
13.23Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.9042% — below the 15% mark we flag

    Aim Training →
  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 35.7245% — below the 40% mark we flag

Spend your practice time on Nuke

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

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass13–11-0.0223%8 Oct →
mirage13–100.0411%7 Oct →
mirage3–6-0.027%7 Oct →
dust213–50.0510%7 Oct →
office13–6-0.0020%13 Sept →
inferno1–3-0.1775%31 Aug →
cache13–10-0.048%31 Aug →
nuke13–4-0.0216%31 Aug →
nuke1–13-0.1133%20 Aug →
mirage13–60.0117%3 Aug →
ancient13–8-0.0713%3 Aug →
inferno0–13-0.020%20 Jul →
fachwerk13–20.0219%20 Jul →
shelter12–120.0216%20 Jul →
cache11–13-0.068%19 Jul →
inferno13–7-0.0316%19 Jul →
boulder13–110.0125%18 Jul →
dust213–7-0.0624%12 Jul →
cache11–13-0.126%12 Jul →
nuke15–15-0.0717%12 Jul →
cache13–70.0419%12 Jul →
inferno14–160.0015%5 Jul →
mirage8–13-0.0511%5 Jul →
nuke4–13-0.1110%30 Jun →
cache13–2-0.0114%29 Jun →
nuke13–8-0.0316%29 Jun →
mirage13–10-0.0419%29 Jun →
stronghold13–10-0.055%23 May →
cache4–13-0.0431%22 May →
nuke13–10-0.046%22 May →
mirage2–13-0.1028%22 May →
nuke7–13-0.0622%10 May →
cache4–13-0.0722%10 May →
cache13–10-0.1012%10 May →
cache13–70.0229%9 May →
cache13–7-0.0221%4 May →
cache13–10-0.0625%4 May →
cache10–13-0.0810%4 May →
cache13–5-0.0633%1 May →
cache13–4-0.0112%30 Apr →
cache13–3-0.073%30 Apr →
cache1–13-0.0916%30 Apr →
cache10–13-0.0423%28 Apr →
overpass9–13-0.0525%26 Apr →
mirage3–13-0.0229%22 Apr →
mirage15–15-0.0113%19 Apr →
nuke9–13-0.0416%19 Apr →
inferno13–11-0.0228%17 Apr →
dust26–13-0.1117%17 Apr →
mirage13–8-0.0211%17 Apr →
nuke12–16-0.0819%6 Apr →
nuke13–6-0.0513%6 Apr →
inferno13–60.0229%6 Apr →
poseidon3–9-0.0732%5 Apr →
cache9–13-0.0626%5 Apr →
nuke10–13-0.0917%30 Mar →
dust28–13-0.0227%30 Mar →
mirage11–13-0.0214%29 Mar →
dust22–13-0.149%28 Mar →
warden3–13-0.0713%26 Mar →
mirage3–13-0.0833%22 Mar →
mirage4–13-0.0429%20 Mar →
inferno13–50.0445%20 Mar →
overpass8–13-0.0418%20 Mar →
inferno13–0-0.0519%13 Mar →
dust23–1-0.100%28 Feb →
inferno13–10-0.086%28 Feb →
nuke13–6-0.0016%27 Feb →
mirage7–13-0.0621%26 Feb →
mirage1–13-0.0940%22 Feb →
mirage13–10-0.0620%22 Feb →
dust213–11-0.0427%21 Feb →
inferno7–13-0.0717%15 Feb →
mirage13–4-0.0318%15 Feb →
dust25–13-0.0346%31 Jan →
mirage11–13-0.0724%30 Jan →
inferno10–13-0.0218%30 Jan →
dust29–13-0.098%30 Jan →
nuke9–13-0.0922%25 Jan →
mirage8–13-0.0724%25 Jan →
anubis2–13-0.0225%25 Jan →
nuke13–100.0621%25 Jan →
poseidon9–40.1224%25 Jan →
nuke9–13-0.0522%25 Jan →
nuke7–13-0.0713%25 Jan →
inferno16–130.0011%25 Jan →
dust213–10.0923%21 Jan →
nuke13–4-0.0530%21 Jan →
golden8–13-0.0216%21 Jan →
palacio9–13-0.0217%21 Jan →
mirage13–100.0125%17 Jan →
inferno13–80.0121%17 Jan →
dust213–110.0429%15 Jan →
inferno6–13-0.0919%10 Jan →
ancient13–8-0.0217%10 Jan →
train13–10-0.0130%6 Jan →
nuke8–13-0.0713%6 Jan →
dust213–10-0.0220%6 Jan →
golden7–1-0.1130%6 Jan →
mirage13–9-0.0326%4 Jan →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.