Pibe

Pibe — CS2 Stats

76561198351534123[U:1:391268395]Steam profile ↗✓ No bans

1,129Tracked matches57%Win rate2020Tracked since
CSDB Rating6.7 SolidAll-Rounder
Premier CS Rating21,958Top 50% of 212,695 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)
CSDB Leaderboard#56819 of 259481 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 21 Oct 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,129 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,958 +3,051 1 May – 21 Oct · 29 days played
16,34821,958peak 21,9581 May21 Oct
22,324Peak Premier in tracked matches
32Days played since 2026-05-01

Premier CS Rating

  • At peak — 21,958
  • 0 over 30 days · steady
  • Next: Red band at 25,000 — 3,042 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-19
  • Purple band first seen 2026-09-19

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGPibeFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER21,958 · Pink bandcsdb.gg/stats

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Performance scores

Aim87
Positioning63
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateLWWWWTTLWL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +1.0pp headshot accuracy · +22ms reaction

Win rate down 30pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 30%
  • Avg reaction 555ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 520ms

Last 20

  • 13–5–2 · 65% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 26%
  • Avg reaction 509ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.7
Utility5.3
Positioning6.3
Opening Duels6.2

Sharp aimer

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

m0NESY

Plays most like m0NESY 90% playstyle similarity

Most alike: opening-duel success, aim 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 87 — the mechanical foundation is a clear strength.

Areas to improve

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

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim8.7
Positioning6.3
Utility5.3
Mechanics4.3
Opening Duels5.5
Win Impact7.4

Composite 6.7/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time543ms−83ms
first ⅓ avg 626ms → last ⅓ avg 543ms
Headshot accuracy25.0%−1.5%
first ⅓ avg 26.5% → last ⅓ avg 25.0%

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

0.18Best match rating · 13–5 · ancient, 2 May →
68%Best headshot accuracy · 7–13 · anubis, 27 Jun →
242msFastest reaction time · 13–10 · inferno, 24 Jun →
13–0Biggest win · cache, 23 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 73% over 11mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB3217–1553%-0.00
dust2B168–850%0.00
nukeB157–847%-0.01
anubisB126–650%0.02
ancientS118–373%0.04
mirageD72–529%0.00
cacheS64–267%0.03
overpass—11–0100%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

24.1%Headshot accuracy
40.2%Accuracy (enemy spotted)
38.9%Spray accuracy
69.5%Counter-strafing
7.1°Preaim
539msReaction time
47.1%T opening success
56.9%CT opening success
0.60Enemies flashed / flash
7.7%Flash assists
7.91HE damage / grenade
6.59Flashes / match

Recommended for you

Spend your practice time on Mirage

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0135%26 Aug →
inferno13–11-0.0321%26 Aug →
ancient16–130.0627%26 Aug →
inferno13–110.0229%25 Aug →
cache13–11-0.0238%25 Aug →
cache15–150.0116%19 Aug →
inferno15–150.0726%19 Aug →
anubis11–130.0930%19 Aug →
ancient16–140.0420%18 Aug →
inferno9–130.1420%18 Aug →
inferno13–30.1016%18 Aug →
ancient13–60.1030%18 Aug →
cache16–130.0422%18 Aug →
cache8–130.0938%17 Aug →
nuke13–70.1636%17 Aug →
ancient8–20.0330%17 Aug →
anubis13–110.0724%14 Aug →
dust213–5-0.0119%14 Aug →
inferno14–16-0.0029%14 Aug →
anubis13–10-0.028%13 Aug →
cache13–10-0.0321%13 Aug →
inferno13–11-0.0128%13 Aug →
mirage11–13-0.0328%13 Aug →
nuke1–13-0.0321%13 Aug →
mirage4–13-0.0724%13 Aug →
dust25–13-0.0626%13 Aug →
nuke9–13-0.0316%13 Aug →
inferno16–130.0118%12 Aug →
dust213–16-0.0320%11 Aug →
inferno7–13-0.0811%26 Jul →
inferno13–4-0.0125%26 Jul →
cache13–00.0940%23 Jul →
dust210–130.0131%23 Jul →
inferno13–2-0.0513%22 Jul →
ancient13–20.1429%17 Jul →
inferno16–140.0516%17 Jul →
anubis13–90.0126%17 Jul →
nuke9–13-0.0134%28 Jun →
dust210–13-0.0739%28 Jun →
dust213–50.0227%27 Jun →
anubis7–13-0.0268%27 Jun →
inferno13–90.0320%27 Jun →
anubis3–13-0.0125%25 Jun →
inferno13–90.0025%25 Jun →
mirage10–13-0.0529%25 Jun →
inferno13–10-0.0617%24 Jun →
mirage13–10.1146%24 Jun →
dust213–10.0645%21 Jun →
inferno8–13-0.0142%21 Jun →
nuke16–12-0.0425%21 Jun →
nuke10–13-0.0628%21 Jun →
inferno10–13-0.0413%14 Jun →
ancient13–4-0.0220%14 Jun →
anubis13–8-0.0327%14 Jun →
dust213–11-0.0721%14 Jun →
inferno13–9-0.0615%14 Jun →
inferno15–15-0.0413%12 Jun →
anubis11–13-0.0110%12 Jun →
ancient7–130.0018%12 Jun →
inferno13–10-0.0126%10 Jun →
nuke4–130.0124%29 May →
inferno4–13-0.0028%29 May →
inferno9–13-0.0321%29 May →
ancient13–40.0150%28 May →
nuke13–40.0140%28 May →
overpass13–7-0.029%28 May →
mirage9–13-0.0328%25 May →
inferno13–100.0525%25 May →
ancient15–150.0126%25 May →
inferno9–130.029%25 May →
nuke13–80.0821%25 May →
dust20–13-0.0433%25 May →
inferno13–30.0127%25 May →
inferno16–14-0.0327%22 May →
dust213–30.0814%22 May →
anubis10–130.0127%22 May →
dust28–130.0531%21 May →
anubis13–30.0133%21 May →
mirage13–40.1624%21 May →
nuke2–13-0.0126%21 May →
dust29–13-0.0919%21 May →
inferno6–13-0.0120%21 May →
nuke16–12-0.0713%19 May →
dust213–90.018%19 May →
anubis13–20.1433%19 May →
inferno13–10-0.0812%17 May →
nuke13–7-0.0138%17 May →
inferno9–13-0.0130%17 May →
inferno11–13-0.0235%14 May →
nuke8–13-0.0432%14 May →
inferno7–130.0331%5 May →
nuke13–40.0322%2 May →
anubis7–130.0424%2 May →
ancient13–50.1835%2 May →
mirage8–13-0.0835%2 May →
dust213–70.1143%2 May →
ancient5–13-0.0750%1 May →
dust213–30.1135%1 May →
dust211–13-0.0416%1 May →
nuke1–13-0.1320%1 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 →

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