parA

parA — CS2 Stats

DE76561197970991159[U:1:10725431]Steam profile ↗✓ No bans

1,251Tracked matches57%Win rate2020Tracked since
2,946Hours in CS7Hrs last 2 wks
CSDB Rating6.5 SolidSupport
Premier CS Rating23,804Top 25% of 213,211 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)
CSDB Leaderboard#34503 of 259859 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (9 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: 23,804 -865 25 Jul – 26 Oct · 12 days played
23,43424,815peak 24,81525 Jul26 Oct
24,999Peak Premier in tracked matches
43Days played since 2026-07-20

Premier CS Rating

  • 1,011 below peak (24,815)
  • -981 over 90 days
  • Next: Red band at 25,000 — 1,196 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-30
  • Purple band first seen 2026-08-30

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 Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate53.3%46.8%48.2%above
Shot accuracy19.0%13.0%13.2%above
Kill/death ratio0.981.061.070.09 short
Match win rate44.3%46.3%46.9%2.6% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGparAFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER23,804 · Pink bandcsdb.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

Aim84
Positioning44
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateLWWLLLWLWL

Last 10 vs previous 10: −40pp win rate · −0.05 avg rating · +3.9pp headshot accuracy · +13ms reaction

Win rate down 40pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 26%
  • Avg reaction 591ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 25%
  • Avg reaction 538ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 532ms

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).

Aim8.4
Utility6.6
Positioning4.4
Opening Duels1.2
Clutch3.2

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 80% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

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

Aim8.4
Positioning4.4
Utility6.6
Mechanics7.4
Opening Duels1.6
Win Impact7.2

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time530ms−42ms
first ⅓ avg 572ms → last ⅓ avg 530ms
Headshot accuracy22.8%−5.3%
first ⅓ avg 28.1% → last ⅓ avg 22.8%

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

0.16Best match rating · 13–3 · cache, 8 Sept →
100%Best headshot accuracy · 0–4 · dust2, 27 Jul →
328msFastest reaction time · 0–4 · dust2, 27 Jul →
13–1Biggest win · cache, 10 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
13–12In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 88% over 8infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B4725–2253%-0.00
cacheB178–947%0.00
nukeC104–640%-0.01
ancientS87–188%0.01
infernoC83–538%-0.01
anubisC73–443%-0.01
mirage—20–20%-0.06
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

123,961Lifetime kills
0.98K/D
3,488Matches
44.3%Match win rate
53.3%Headshot % · Top 25% of Level 8 players
19.0%Shot accuracy · Top 10% of Level 8 players
7,751MVPs
8,388Hours (in match)
2,776Bombs planted
984Bombs defused

Most-used weapons

AK-4746,937
AWP13,016
P2503,761
FAMAS1,706
Knife1,339

Lifetime map wins

12,544dust2
10,600inferno
2,848nuke
962train
218vertigo
90office
69cbble
38dust

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

Faceit stats

Combat

1,416Matches
50%Win rate
1.00Avg K/D
76.3ADR
47%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust28259%1.0515.2
Ancient2748%0.9415.0
Cache2050%1.0815.9
Nuke2045%0.9715.3
Anubis1030%0.9713.9
Mirage1040%0.8415.8
Inferno922%1.1616.7
Overpass20%1.1219.0

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.

23.0%Headshot accuracy
35.7%Accuracy (enemy spotted)
36.9%Spray accuracy
83.1%Counter-strafing
9.0°Preaim
532msReaction time
37.0%T opening success
35.7%CT opening success
0.61Enemies flashed / flash
5.7%Flash assists
9.46HE damage / grenade
13.77Flashes / 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 37.0488% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.0914%1 Nov →
dust213–11-0.0154%26 Oct →
ancient13–7-0.0220%26 Oct →
cache6–13-0.0214%21 Oct →
dust26–13-0.0627%19 Oct →
dust21–13-0.0820%19 Oct →
inferno13–8-0.1433%15 Oct →
dust26–13-0.1019%12 Oct →
dust213–9-0.0117%12 Oct →
anubis8–130.0027%12 Oct →
dust213–20.0518%11 Oct →
nuke13–10-0.0128%11 Oct →
anubis13–40.0117%11 Oct →
ancient13–2-0.0124%10 Oct →
anubis13–8-0.0118%10 Oct →
cache13–3-0.0223%10 Oct →
dust219–150.0119%9 Oct →
dust29–130.0218%9 Oct →
dust213–110.0319%9 Oct →
anubis10–13-0.0523%18 Sept →
nuke11–13-0.0025%11 Sept →
dust216–140.0633%11 Sept →
dust213–70.0519%11 Sept →
dust213–10-0.0416%11 Sept →
cache11–130.0729%9 Sept →
inferno5–13-0.0314%9 Sept →
cache13–30.1614%8 Sept →
dust213–9-0.0431%7 Sept →
nuke8–13-0.0311%4 Sept →
cache9–13-0.0429%4 Sept →
dust216–130.0526%4 Sept →
dust210–13-0.0521%4 Sept →
inferno11–130.0633%3 Sept →
dust213–8-0.0323%1 Sept →
dust27–130.0428%31 Aug →
nuke14–16-0.0438%31 Aug →
anubis11–13-0.0315%28 Aug →
dust28–13-0.0328%28 Aug →
cache3–13-0.0919%28 Aug →
dust213–11-0.0418%28 Aug →
dust25–13-0.0322%28 Aug →
dust213–60.0413%25 Aug →
dust216–14-0.0224%25 Aug →
anubis13–70.0518%21 Aug →
cache11–13-0.0412%21 Aug →
dust28–13-0.0213%21 Aug →
inferno7–130.1015%21 Aug →
dust213–11-0.0225%20 Aug →
cache6–13-0.0517%18 Aug →
dust27–130.0724%18 Aug →
dust213–7-0.0130%18 Aug →
dust210–13-0.0418%14 Aug →
inferno3–13-0.0716%14 Aug →
anubis9–13-0.0611%14 Aug →
dust28–13-0.0413%14 Aug →
cache13–80.0527%14 Aug →
cache13–100.0632%13 Aug →
dust23–130.0127%13 Aug →
dust213–60.0627%13 Aug →
dust211–13-0.0123%12 Aug →
vertigo2–13-0.0416%12 Aug →
ancient17–19-0.0114%12 Aug →
cache14–16-0.0322%11 Aug →
dust216–130.0518%10 Aug →
cache13–10.0529%10 Aug →
dust220–22-0.0224%10 Aug →
dust213–7-0.0015%9 Aug →
cache9–13-0.0225%9 Aug →
cache13–60.0733%9 Aug →
nuke11–130.0718%9 Aug →
cache19–160.0227%7 Aug →
dust216–140.0226%7 Aug →
cache13–11-0.0226%7 Aug →
ancient16–14-0.0322%5 Aug →
cache11–13-0.0821%5 Aug →
ancient13–60.0129%5 Aug →
dust29–130.0019%4 Aug →
inferno4–130.0127%4 Aug →
dust213–11-0.0024%3 Aug →
dust210–130.0220%3 Aug →
ancient13–80.0830%1 Aug →
mirage5–13-0.0330%1 Aug →
nuke16–140.0017%31 Jul →
dust216–14-0.0123%31 Jul →
dust22–13-0.0420%31 Jul →
nuke13–90.0121%30 Jul →
dust216–140.0535%30 Jul →
ancient13–90.0622%30 Jul →
dust26–13-0.0429%28 Jul →
nuke13–6-0.0124%28 Jul →
dust20–4-0.00100%27 Jul →
dust22–13-0.0931%27 Jul →
dust213–30.0634%27 Jul →
inferno13–10-0.0148%25 Jul →
mirage6–13-0.0930%25 Jul →
dust27–13-0.0029%23 Jul →
inferno13–20.0118%23 Jul →
dust213–100.0121%22 Jul →
nuke9–130.0124%21 Jul →
ancient13–100.0126%20 Jul →

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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