pegin

pegin — CS2 Stats

76561198061170193[U:1:100904465]Steam profile ↗✓ No bans

2,120Tracked matches57%Win rate2022Tracked since
CSDB Rating6.6 SolidSupport
FaceitLevel 10 · 2,700 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,700 → 2,700
+56Tracked matches · now 2,120
0.0ppWin rate · 56.7% → 56.7%

Rating over time

Faceit ELO: 2,700 +0 30 Aug – 23 Sept · 5 observations
2,7002,700peak 2,70030 Aug23 Sept
2,700Highest Faceit ELO seen on CSDB
43Days played since 2024-02-28

Faceit ELO

  • At peak — 2,700
  • 0 over 30 days · steady
  • Next: 3,000 ELO at 3,000 — 300 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-30
  • Level 10 first seen 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGpeginFACEITLevel 10 · 2,700 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO2,700csdb.gg/stats

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Performance scores

Aim78
Positioning54
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY59–40–1Last 10059%Win rateWLWWLWLWWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −3.3pp headshot accuracy · −12ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 19%
  • Avg reaction 539ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 536ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 542ms

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 (+1.7 against its own average).

Aim7.8
Utility6.1
Positioning5.4
Opening Duels2.6
Clutch3.6

Strong CT-side opener

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 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim 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

T-side openings. Opening success drops from 53% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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

Aim7.8
Positioning5.4
Utility6.1
Mechanics7.5
Opening Duels2.9
Win Impact7.2

Composite 6.6/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time562ms+4ms
first ⅓ avg 558ms → last ⅓ avg 562ms
Headshot accuracy18.7%+0.2%
first ⅓ avg 18.4% → last ⅓ avg 18.7%

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 · 13–6 · ancient, 2 Mar →
38%Best headshot accuracy · 1–13 · nuke, 12 Apr →
398msFastest reaction time · 3–13 · nuke, 5 Apr →
13–0Biggest win · mirage, 25 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–10In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 71% over 31nukeWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageS3122–971%0.02
ancientB2513–1252%0.01
anubisA148–657%0.00
dust2A116–555%0.02
nukeD82–625%-0.02
infernoS75–271%0.03
overpass—32–167%0.07
cache—11–0100%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,163Matches
58%Win rate
1.31Avg K/D
85.2ADR
48%Headshot %

Clutches & streaks

38%1v1 clutch win
24%1v2 clutch win
15Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage108354%1.2517.1
Dust253358%1.2016.2
Ancient34859%1.2216.5
Nuke27966%1.3516.5
Anubis24757%1.3716.3
Inferno5673%1.3817.4
Overpass3168%1.5218.2
Vertigo1662%1.7317.8

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.

18.1%Headshot accuracy
35.2%Accuracy (enemy spotted)
39.4%Spray accuracy
83.6%Counter-strafing
9.2°Preaim
564msReaction time
29.5%T opening success
53.4%CT opening success
0.68Enemies flashed / flash
5.2%Flash assists
7.71HE damage / grenade
11.88Flashes / 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 29.5461% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–40.1124%28 Oct →
mirage10–130.0116%10 Oct →
dust213–50.0715%18 Sept →
mirage13–70.0414%3 Sept →
dust27–130.0026%1 Sept →
mirage13–8-0.0018%1 Sept →
ancient11–13-0.0310%19 Aug →
cache13–100.0221%6 Aug →
dust213–10-0.0013%5 Aug →
mirage14–16-0.0311%4 Aug →
mirage13–00.0817%25 Apr →
dust23–13-0.0632%18 Apr →
nuke13–160.0017%5 Apr →
dust29–13-0.0430%5 Apr →
mirage13–110.0228%5 Apr →
dust213–30.0322%5 Apr →
inferno13–6-0.0118%5 Apr →
nuke3–13-0.0414%5 Apr →
dust211–13-0.0414%5 Apr →
inferno13–6-0.0411%4 Apr →
dust213–30.1021%4 Apr →
nuke5–13-0.0617%4 Apr →
mirage11–130.0111%19 Feb →
mirage13–90.0220%16 Jan →
mirage6–130.0115%29 Dec →
mirage16–140.0313%16 Dec →
mirage13–70.0612%2 Dec →
mirage13–50.0116%10 Oct →
mirage13–100.0522%30 Aug →
dust215–190.0428%1 Aug →
overpass7–130.1425%28 Jul →
ancient2–13-0.0728%18 Jul →
mirage13–110.0216%12 Jul →
mirage13–60.0815%29 Jun →
inferno15–150.0221%22 Mar →
ancient13–90.0217%17 Feb →
dust213–60.0616%21 Sept →
mirage13–70.0115%26 Aug →
anubis13–9-0.0510%30 Apr →
mirage10–130.0026%30 Apr →
dust213–50.0516%28 Apr →
mirage13–110.0327%27 Apr →
ancient5–13-0.0926%15 Apr →
mirage3–13-0.0419%15 Apr →
nuke13–16-0.0623%13 Apr →
nuke1–13-0.0938%12 Apr →
ancient10–13-0.0020%12 Apr →
anubis4–130.0220%3 Apr →
ancient14–160.0511%3 Apr →
mirage13–2-0.0218%1 Apr →
nuke16–190.0120%5 Mar →
overpass13–8-0.0013%5 Mar →
ancient13–70.0510%5 Mar →
nuke13–30.0320%3 Mar →
ancient16–130.0416%3 Mar →
inferno7–130.0414%3 Mar →
ancient13–11-0.0917%3 Mar →
ancient13–60.1018%3 Mar →
anubis13–8-0.0015%3 Mar →
anubis3–13-0.0613%3 Mar →
ancient14–110.0214%3 Mar →
anubis13–30.1618%2 Mar →
anubis13–11-0.0420%2 Mar →
inferno13–40.1113%2 Mar →
ancient14–160.019%2 Mar →
inferno13–9-0.037%2 Mar →
ancient11–13-0.0320%2 Mar →
ancient13–60.1617%2 Mar →
ancient13–60.1217%2 Mar →
ancient12–16-0.048%2 Mar →
mirage13–80.1016%1 Mar →
anubis10–130.0318%1 Mar →
mirage13–40.0417%1 Mar →
anubis13–11-0.0616%1 Mar →
anubis11–13-0.048%1 Mar →
mirage13–70.0211%1 Mar →
ancient3–13-0.1025%1 Mar →
ancient13–00.0216%1 Mar →
ancient5–13-0.0615%1 Mar →
ancient6–130.0033%1 Mar →
anubis13–80.0516%1 Mar →
ancient11–130.0729%29 Feb →
anubis12–130.047%29 Feb →
anubis13–110.0619%29 Feb →
ancient13–30.0921%29 Feb →
ancient13–4-0.007%29 Feb →
nuke13–60.0321%29 Feb →
mirage13–110.0633%29 Feb →
mirage6–13-0.0217%29 Feb →
mirage13–40.0734%29 Feb →
ancient19–170.0510%29 Feb →
anubis4–13-0.0710%29 Feb →
ancient25–22-0.0213%28 Feb →
overpass13–50.0617%28 Feb →
mirage13–2-0.0217%28 Feb →
mirage13–9-0.0314%28 Feb →
anubis13–90.0128%28 Feb →
mirage13–60.0620%28 Feb →
mirage7–130.0533%28 Feb →
mirage10–13-0.0426%28 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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