p3Ky

p3Ky — CS2 Stats

SE76561198323983076[U:1:363717348]Steam profile ↗✓ No bans

1,047Tracked matches54%Win rate2020Tracked since
6,697Hours in CS5Hrs last 2 wks
CSDB Rating5.9 SolidSupport
Premier CS Rating26,092Top 10% of 213,399 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#12967 of 259985 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 30 Oct 2026 (6 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: 26,092 +4,441 28 May – 30 Oct · 36 days played
20,96327,201peak 27,20128 May30 Oct
27,201Peak Premier in tracked matches
48Days played since 2026-05-28

Premier CS Rating

  • 1,109 below peak (27,201)
  • +476 over 30 days · improving
  • +408 over 90 days
  • Next: Gold band at 30,000 — 3,908 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-02
  • Pink band first seen 2026-09-02

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 rate41.3%46.8%48.2%6.9% short
Shot accuracy16.1%13.0%13.2%above
Kill/death ratio1.151.061.07above
Match win rate48.5%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGp3KyFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER26,092 · Red 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

Aim64
Positioning45
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY53–41–6Last 10053%Win rateLWWLWWTLWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · −3.3pp headshot accuracy · +105ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 616ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 663ms

Last 20

  • 8–8–4 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 610ms

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 (+2.6 against its own average).

Aim6.4
Utility6.9
Positioning4.5
Opening Duels2.9
Clutch3.0

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 83% 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. 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

Aim6.4
Positioning4.5
Utility6.9
Mechanics5.3
Opening Duels3.4
Win Impact6.2

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time614ms−36ms
first ⅓ avg 650ms → last ⅓ avg 614ms
Headshot accuracy22.5%+1.3%
first ⅓ avg 21.2% → last ⅓ avg 22.5%

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

0.14Best match rating · 9–7 · inferno, 8 Jul →
50%Best headshot accuracy · 13–0 · nuke, 17 Jul →
391msFastest reaction time · 10–13 · mirage, 12 Sept →
13–0Biggest win · nuke, 22 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 100% over 7ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA2717–1063%-0.02
infernoA169–756%-0.00
nukeC145–936%-0.04
anubisB136–746%-0.01
ancientD123–925%-0.01
dust2S77–0100%-0.01
cache—42–250%-0.02
overpass—31–233%0.02
train—21–150%-0.06
vertigo—11–0100%-0.04
boulder—11–0100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

171,114Lifetime kills
1.15K/D · Top 50% of Level 8 players
7,768Matches
48.5%Match win rate · Top 50% of Level 8 players
41.3%Headshot %
16.1%Shot accuracy · Top 25% of Level 8 players
26,058MVPs
3,582Hours (in match)
7,015Bombs planted
2,250Bombs defused

Most-used weapons

AK-4743,358
AWP36,774
P2504,115
MP94,063
AUG3,027
UMP-452,985

Lifetime map wins

10,316dust2
10,316inferno
5,462nuke
3,874train
3,109vertigo
934cbble
233office
150lake

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

Faceit stats

Combat

1,061Matches
53%Win rate
1.05Avg K/D
79.8ADR
42%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2157%1.0815.6
Ancient1250%0.8612.6
Anubis1060%1.1814.7
Inferno1050%1.1514.6
Vertigo540%1.0517.2
Dust2333%0.559.3
Overpass250%1.1214.0
Nuke2100%1.6213.0

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.

22.0%Headshot accuracy
30.8%Accuracy (enemy spotted)
35.0%Spray accuracy
73.8%Counter-strafing
9.2°Preaim
601msReaction time
42.0%T opening success
44.9%CT opening success
0.66Enemies flashed / flash
4.3%Flash assists
12.70HE damage / grenade
17.40Flashes / match

Recommended for you

Spend your practice time on Ancient

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass10–130.0419%3 Nov →
mirage13–50.0118%3 Nov →
dust213–30.0110%30 Oct →
nuke7–13-0.0621%28 Oct →
mirage13–10-0.0414%28 Oct →
dust213–20.0530%27 Oct →
mirage15–15-0.0419%26 Oct →
nuke5–9-0.0514%7 Oct →
inferno9–70.0633%7 Oct →
mirage13–60.0218%3 Oct →
ancient8–13-0.067%1 Oct →
ancient14–16-0.0129%27 Sept →
inferno9–60.0524%21 Sept →
nuke7–13-0.0834%21 Sept →
inferno8–8-0.0136%14 Sept →
anubis10–13-0.0120%14 Sept →
mirage10–13-0.0433%12 Sept →
inferno8–80.0420%4 Sept →
ancient15–15-0.0313%3 Sept →
mirage13–40.0414%1 Sept →
mirage5–13-0.0813%31 Aug →
nuke1–2-0.0625%31 Aug →
inferno13–10-0.0719%22 Aug →
nuke13–00.0427%22 Aug →
mirage13–6-0.0211%22 Aug →
mirage13–7-0.0120%19 Aug →
cache13–50.0033%19 Aug →
dust213–11-0.0229%8 Aug →
inferno17–190.0326%8 Aug →
anubis11–130.0145%7 Aug →
inferno13–5-0.0330%7 Aug →
anubis13–5-0.0315%7 Aug →
mirage10–13-0.0424%7 Aug →
ancient10–130.0222%7 Aug →
inferno13–30.1016%7 Aug →
ancient13–100.0628%7 Aug →
dust213–0-0.0030%7 Aug →
ancient10–130.0626%2 Aug →
anubis11–130.0625%2 Aug →
nuke3–130.0435%2 Aug →
nuke10–13-0.0910%30 Jul →
mirage0–13-0.0610%26 Jul →
vertigo13–11-0.0419%25 Jul →
boulder13–30.0116%25 Jul →
train13–6-0.0336%25 Jul →
anubis13–50.0621%25 Jul →
mirage13–50.0525%25 Jul →
anubis5–13-0.0427%24 Jul →
mirage5–13-0.1118%24 Jul →
inferno4–9-0.1037%24 Jul →
nuke13–00.0150%17 Jul →
dust213–6-0.0423%16 Jul →
mirage13–8-0.0323%15 Jul →
inferno13–30.008%15 Jul →
inferno3–9-0.2127%14 Jul →
ancient4–13-0.0426%13 Jul →
mirage2–13-0.1027%12 Jul →
cache9–13-0.0428%12 Jul →
nuke13–7-0.0419%12 Jul →
mirage13–9-0.0316%12 Jul →
ancient13–30.0320%12 Jul →
mirage13–50.0619%12 Jul →
mirage8–13-0.0823%12 Jul →
anubis13–7-0.0715%11 Jul →
cache13–6-0.0341%11 Jul →
anubis13–11-0.0026%9 Jul →
inferno9–70.1432%8 Jul →
cache6–13-0.0217%6 Jul →
train2–13-0.0933%6 Jul →
overpass12–16-0.0223%5 Jul →
overpass8–00.0211%5 Jul →
mirage13–90.0010%5 Jul →
nuke3–9-0.1121%4 Jul →
inferno13–2-0.0027%4 Jul →
mirage13–7-0.0324%4 Jul →
nuke10–13-0.0815%4 Jul →
inferno13–50.0422%4 Jul →
anubis13–80.0323%28 Jun →
dust213–11-0.0228%28 Jun →
ancient4–13-0.0221%27 Jun →
anubis13–9-0.0626%27 Jun →
mirage15–15-0.0335%27 Jun →
mirage13–10-0.0415%26 Jun →
ancient15–15-0.0324%26 Jun →
anubis5–13-0.0822%22 Jun →
mirage13–9-0.0516%22 Jun →
ancient13–50.0015%22 Jun →
nuke13–30.0217%17 Jun →
nuke13–7-0.0124%14 Jun →
nuke6–13-0.0228%14 Jun →
inferno4–9-0.0817%10 Jun →
dust213–11-0.0425%10 Jun →
mirage13–40.067%10 Jun →
inferno11–13-0.0519%2 Jun →
ancient3–13-0.086%2 Jun →
mirage13–60.0121%1 Jun →
anubis10–130.0320%30 May →
mirage6–130.0319%28 May →
mirage13–20.0533%28 May →
anubis7–13-0.0636%28 May →

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 →

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