pibelspetu

pibelspetu — CS2 Stats

76561198963269810[U:1:1003004082]Steam profile ↗✓ No bans

1,765Tracked matches46%Win rate2020Tracked since
4,013Hours in CS29Hrs last 2 wks
CSDB Rating6.3 SolidPositional Player
Premier CS Rating19,762Top 50% of 204,219 CSDB-tracked playersPurple band · top ~9.4% of ranked players (population est.)
CSDB Leaderboard#86200 of 251275 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (3 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: 19,762 +9,870 27 Aug – 9 Oct · 28 days played
9,89220,124peak 20,12427 Aug9 Oct
20,586Peak Premier in tracked matches
29Days played since 2026-08-20

Premier CS Rating

  • 362 below peak (20,124)
  • +7,359 over 30 days · improving
  • Next: Pink band at 20,000 — 238 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-12
  • Blue band first seen 2026-09-12

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 rate35.9%44.3%46.9%11.1% short
Shot accuracy13.7%11.9%13.0%above
Kill/death ratio0.941.031.080.14 short
Match win rate42.6%45.2%46.7%4.1% short

This profile matches the typical Pink band player on 1 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.GGpibelspetuPREMIER19,762 · 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

Aim84
Positioning66
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY57–41–2Last 10057%Win rateLWWLLLWWLT

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −2.9pp headshot accuracy · +23ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 14%
  • Avg reaction 564ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 535ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 523ms

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: Positional Player — Positioning stands above the rest of this profile (+2.3 against its own average).

Aim8.4
Utility4.6
Positioning6.6
Opening Duels3.7
Clutch2.4

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

ropz

Plays most like ropz 93% playstyle similarity

Most alike: positioning profile, 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

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

Aim8.4
Positioning6.6
Utility4.6
Mechanics6.3
Opening Duels4.9
Win Impact3.8

Composite 6.3/10 (Solid), 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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time522ms−22ms
first ⅓ avg 543ms → last ⅓ avg 522ms
Headshot accuracy16.2%−0.2%
first ⅓ avg 16.3% → last ⅓ avg 16.2%

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

0.29Best match rating · 13–0 · cache, 9 Oct →
33%Best headshot accuracy · 7–13 · mirage, 7 Sept →
406msFastest reaction time · 13–10 · ancient, 21 Sept →
13–0Biggest win · cache, 9 Oct →

Across the last 100 tracked matches.

Highlights

11Longest win streak
7–4In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 75% over 12nukeWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
mirageB2815–1354%0.03
nukeC167–944%0.04
infernoB158–753%0.03
ancientS139–469%0.04
cacheS129–375%0.05
dust2B105–550%0.02
anubisA53–260%0.02
debris—11–0100%0.07

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

77,959Lifetime kills
0.94K/D
4,862Matches
42.6%Match win rate
35.9%Headshot %
13.7%Shot accuracy · Top 50% of Purple band
12,012MVPs
1,652Hours (in match)
3,867Bombs planted
1,378Bombs defused

Most-used weapons

AK-4721,873
AWP14,037
MP91,730
Knife1,359
SSG 081,101

Lifetime map wins

5,388nuke
4,918inferno
2,762train
2,479dust2
2,242vertigo
491cbble
106office
102lake

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

Faceit stats

Combat

116Matches
57%Win rate
1.10Avg K/D
88.5ADR
40%Headshot %

Clutches & streaks

32%1v1 clutch win
25%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3444%1.0818.5
Nuke1675%1.1717.4
Ancient1173%1.0416.6
Inferno875%0.8817.3
Anubis650%1.0218.2
Dust2450%0.9817.3
Vertigo2100%1.7223.0
Overpass1100%1.002.0

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.

15.7%Headshot accuracy
41.6%Accuracy (enemy spotted)
44.5%Spray accuracy
78.4%Counter-strafing
10.0°Preaim
521msReaction time
48.5%T opening success
50.6%CT opening success
0.49Enemies flashed / flash
4.9%Flash assists
3.54HE damage / grenade
14.66Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4876 — below the 0.5 mark we flag

    Grenade Lineups →
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 & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–130.0215%9 Oct →
ancient13–100.0111%9 Oct →
cache13–00.2922%9 Oct →
dust28–13-0.0414%8 Oct →
dust29–13-0.037%8 Oct →
dust25–13-0.0016%8 Oct →
cache16–140.0715%6 Oct →
inferno13–90.0616%4 Oct →
dust214–16-0.0211%4 Oct →
inferno15–15-0.0012%4 Oct →
ancient4–13-0.0723%4 Oct →
cache6–130.0424%3 Oct →
cache13–60.0424%2 Oct →
mirage8–13-0.0219%2 Oct →
inferno8–130.0921%2 Oct →
mirage13–90.0713%2 Oct →
inferno8–13-0.0215%1 Oct →
nuke15–150.086%30 Sept →
anubis5–13-0.0518%29 Sept →
inferno7–13-0.004%28 Sept →
mirage5–13-0.0425%28 Sept →
mirage3–130.047%26 Sept →
mirage16–130.1016%25 Sept →
nuke13–100.137%23 Sept →
cache13–70.0419%23 Sept →
mirage8–130.0322%23 Sept →
dust213–100.1221%23 Sept →
mirage13–100.0823%22 Sept →
ancient13–100.0019%22 Sept →
mirage13–100.0721%22 Sept →
inferno13–90.0211%22 Sept →
nuke5–13-0.0728%22 Sept →
mirage13–6-0.0311%21 Sept →
mirage13–100.0419%21 Sept →
ancient13–100.0216%21 Sept →
cache16–140.0110%18 Sept →
dust28–130.038%18 Sept →
mirage8–30.0914%18 Sept →
mirage13–8-0.0124%18 Sept →
cache6–130.0011%17 Sept →
inferno7–13-0.0013%17 Sept →
ancient9–130.0515%17 Sept →
mirage5–130.0320%17 Sept →
nuke9–130.109%17 Sept →
mirage13–40.0520%14 Sept →
inferno13–110.0314%13 Sept →
nuke13–30.0718%13 Sept →
mirage13–100.0311%13 Sept →
ancient13–90.0910%13 Sept →
mirage7–130.0311%13 Sept →
dust213–100.0616%12 Sept →
mirage5–13-0.0426%12 Sept →
ancient13–7-0.0223%11 Sept →
ancient13–90.0815%11 Sept →
mirage10–130.0420%11 Sept →
inferno9–130.0124%11 Sept →
mirage13–9-0.0512%11 Sept →
mirage13–20.078%11 Sept →
inferno13–110.0719%10 Sept →
nuke13–70.1418%10 Sept →
dust213–100.0513%10 Sept →
mirage13–11-0.018%10 Sept →
ancient16–120.1815%10 Sept →
nuke13–40.0110%10 Sept →
inferno13–100.0721%10 Sept →
ancient13–60.1016%10 Sept →
cache13–70.0311%10 Sept →
mirage9–13-0.029%10 Sept →
debris9–70.0720%10 Sept →
nuke13–80.0824%9 Sept →
mirage3–13-0.0210%9 Sept →
nuke6–13-0.035%9 Sept →
dust213–3-0.0114%9 Sept →
ancient13–70.1319%9 Sept →
dust213–90.0512%9 Sept →
inferno13–100.0516%8 Sept →
cache13–50.0317%8 Sept →
anubis13–30.0121%8 Sept →
nuke2–13-0.057%8 Sept →
anubis13–100.0717%8 Sept →
mirage7–130.0433%7 Sept →
cache16–120.0017%4 Sept →
inferno13–70.0623%4 Sept →
ancient1–13-0.0417%4 Sept →
nuke5–130.0413%4 Sept →
mirage9–130.0823%4 Sept →
mirage13–100.0615%29 Aug →
inferno13–100.0519%29 Aug →
cache10–130.044%27 Aug →
nuke13–16-0.0116%27 Aug →
anubis14–16-0.0214%27 Aug →
nuke13–50.0421%27 Aug →
mirage13–60.0217%27 Aug →
nuke13–80.0117%27 Aug →
cache13–9-0.0215%27 Aug →
anubis16–140.1015%27 Aug →
nuke14–16-0.0017%27 Aug →
mirage9–13-0.0121%20 Aug →
inferno10–13-0.0519%20 Aug →
nuke14–160.0112%20 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
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.