petey

petey — CS2 Stats

76561198045955243[U:1:85689515]Steam profile ↗✓ No bans

219Tracked matches53%Win rate2020Tracked since
2,939Hours in CS6Hrs last 2 wks
CSDB Rating7.1 StrongClutch Specialist
Premier CS Rating15,342Purple band · top ~27% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 29 days played since 31 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 15,342 +2,700 31 Jul16 Sept · 22 days played
12,56617,032peak 17,03231 Jul16 Sept
17,032Peak Premier in tracked matches
29Days played since 2026-07-31

Premier CS Rating

  • 1,690 below peak (17,032)
  • -633 over 30 days · declining
  • Next: Pink band at 20,000 4,658 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate30.1%44.3%46.9%16.8% short
Shot accuracy20.6%11.8%13.0%above
Kill/death ratio1.121.031.08above
Match win rate40.6%45.2%46.7%6.1% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGpeteyPREMIER15,342 · Purple 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

Aim86
Positioning73
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY61372Last 10061%Win rateLLWLLLWWWL

Last 10 vs previous 10: −40pp win rate · −0.05 avg rating · −0.1pp headshot accuracy · +11ms 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

  • 14 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 539ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 542ms

Last 20

  • 128 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 18%
  • Avg reaction 537ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+2.6 against its own average).

Aim8.6
Utility4.7
Positioning7.3
Opening Duels7.5
Clutch10.0

Sharp aimerLimited utility dependenceReliable in 1v1s

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

donk

Plays most like donk 94% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution.

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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.6
Positioning7.3
Utility4.7
Mechanics7.0
Opening Duels7.2
Win Impact6.1

Composite 7.1/10 (Strong), 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 rating0.06+0.02
first ⅓ avg 0.04 → last ⅓ avg 0.06
Reaction time529ms−37ms
first ⅓ avg 566ms → last ⅓ avg 529ms
Headshot accuracy16.9%−0.4%
first ⅓ avg 17.3% → last ⅓ avg 16.9%

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

0.25Best match rating · 13–4 · mirage, 14 Aug
37%Best headshot accuracy · 6–13 · nuke, 8 Aug
375msFastest reaction time · 3–13 · inferno, 10 Aug
13–0Biggest win · cache, 28 Aug

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
87In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 83% over 12nukeWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
mirageA2516964%0.06
infernoB21101148%0.06
dust2S1714382%0.05
nukeC167944%0.04
cacheS1210283%0.07
ancient4040%0.00
anubis32167%0.03
office220100%0.11

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

204,476Lifetime kills
1.12K/D · Top 50% of Purple band
4,904Matches
40.6%Match win rate
30.1%Headshot %
20.6%Shot accuracy · Top 5% of Purple band
10,858MVPs
2,804Hours (in match)
4,376Bombs planted
1,288Bombs defused

Most-used weapons

AWP56,832
Glock-1848,987
AK-4741,896
P2503,314
Knife2,676
FAMAS1,978
P901,775

Lifetime map wins

9,053dust2
4,226inferno
1,933nuke
807train
699cbble
312vertigo
262office
101italy

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

Faceit stats

Combat

257Matches
56%Win rate
1.21Avg K/D
116.6ADR
32%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient20%1.1632.5
Mirage2100%1.7427.0
Anubis1100%1.1218.0

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.

17.2%Headshot accuracy
41.6%Accuracy (enemy spotted)
45.7%Spray accuracy
81.6%Counter-strafing
10.0°Preaim
532msReaction time
54.8%T opening success
62.5%CT opening success
0.59Enemies flashed / flash
8.6%Flash assists
8.11HE damage / grenade
4.04Flashes / match

Recommended for you

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.

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage7–130.0522%16 Sept
nuke10–130.0526%16 Sept
anubis13–100.0720%16 Sept
anubis2–13-0.059%16 Sept
nuke10–13-0.0314%14 Sept
ancient8–130.0120%14 Sept
mirage13–90.1423%6 Sept
inferno13–90.0714%5 Sept
mirage13–90.0318%5 Sept
inferno9–130.0214%1 Sept
dust22–130.0518%30 Aug
mirage13–10.1212%30 Aug
inferno13–50.1025%30 Aug
office13–100.0516%28 Aug
cache13–00.2423%28 Aug
inferno11–130.0218%28 Aug
dust213–60.0115%28 Aug
inferno13–60.0819%27 Aug
mirage13–50.1716%27 Aug
nuke13–90.0419%27 Aug
dust213–20.0621%27 Aug
mirage11–130.0516%26 Aug
ancient10–13-0.0317%26 Aug
inferno14–160.1521%26 Aug
cache13–40.0912%19 Aug
dust213–40.1115%19 Aug
anubis13–110.066%19 Aug
inferno0–13-0.089%18 Aug
cache8–130.0116%18 Aug
dust26–130.0114%18 Aug
inferno13–20.1714%18 Aug
inferno13–70.0715%17 Aug
office13–70.1718%16 Aug
inferno9–130.0215%15 Aug
dust25–130.0210%15 Aug
dust213–110.0513%14 Aug
inferno8–130.048%14 Aug
nuke13–5-0.0320%14 Aug
mirage13–30.048%14 Aug
mirage13–40.2529%14 Aug
cache7–20.1113%14 Aug
cache13–90.0311%13 Aug
cache13–80.0521%13 Aug
mirage13–60.0617%13 Aug
cache14–160.0116%12 Aug
mirage4–13-0.0115%12 Aug
mirage12–160.0317%12 Aug
inferno10–130.069%12 Aug
dust213–80.0912%11 Aug
mirage13–110.1215%11 Aug
nuke5–13-0.0410%10 Aug
inferno3–13-0.0121%10 Aug
mirage13–100.0315%10 Aug
dust210–10.0110%10 Aug
mirage13–90.0511%9 Aug
nuke13–110.0733%9 Aug
mirage13–20.1220%9 Aug
nuke6–130.0537%8 Aug
inferno12–120.0418%8 Aug
mirage13–110.0817%7 Aug
mirage13–10.2113%7 Aug
cache13–110.0524%7 Aug
dust213–8-0.0211%6 Aug
mirage6–130.0122%6 Aug
dust213–50.0313%6 Aug
inferno13–90.1225%6 Aug
dust213–50.0719%6 Aug
ancient7–130.0415%6 Aug
mirage7–130.0211%6 Aug
cache13–50.0715%5 Aug
inferno13–80.0511%5 Aug
mirage8–13-0.0124%5 Aug
nuke9–130.0514%5 Aug
cache16–140.0322%5 Aug
nuke13–9-0.0324%5 Aug
nuke13–10.1118%5 Aug
dust213–30.0622%5 Aug
ancient11–13-0.0112%5 Aug
mirage0–13-0.1225%5 Aug
dust213–50.0516%5 Aug
dust213–100.0317%5 Aug
nuke13–20.0925%5 Aug
cache13–30.1815%5 Aug
inferno13–40.0419%4 Aug
nuke9–130.0217%4 Aug
mirage13–10-0.0626%4 Aug
nuke12–120.0615%4 Aug
inferno10–130.1116%4 Aug
dust27–00.1019%4 Aug
dust213–10.0526%4 Aug
inferno10–13-0.0012%3 Aug
nuke9–130.0015%2 Aug
cache13–60.0121%2 Aug
mirage13–90.0813%2 Aug
inferno13–11-0.0512%1 Aug
mirage11–130.056%1 Aug
mirage13–90.0311%1 Aug
inferno13–50.1616%1 Aug
nuke11–130.0416%1 Aug
nuke13–60.1329%31 Jul

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →