PidelzZz

PidelzZz — CS2 Stats

DE76561198146966475[U:1:186700747]Steam profile ↗✓ No bans

2,202Tracked matches46%Win rate2020Tracked since
CSDB Rating6.9 SolidAll-Rounder
Premier CS Rating23,203Top 25% of 215,558 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)
CSDB Leaderboard#42025 of 261662 tracked
FaceitLevel 9 · 2,086 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (24 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: 23,203 +6,151 28 Jul – 22 Oct · 19 days played
17,05223,389peak 23,38928 Jul22 Oct
23,491Peak Premier in tracked matches
2,086Highest Faceit ELO seen on CSDB
22Days played since 2026-07-28

Faceit ELO

  • At peak — 2,086
  • Next: 2,500 ELO at 2,500 — 414 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier CS Rating

  • 186 below peak (23,389)
  • +6,151 over 90 days
  • Next: Red band at 25,000 — 1,797 to go
  • Reached: Pink band · 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.

Share this profile

CSDB.GGPidelzZzFACEITLevel 9 · 2,086 ELOSTANDINGTop 20.7% of rankedPREMIER23,203 · Pink bandPEAK ELO2,086csdb.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

Aim93
Positioning58
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateWWWLLWWLLL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +2.7pp headshot accuracy · −9ms 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 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 586ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 539ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 544ms

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.

Aim9.3
Utility5.1
Positioning5.8
Opening Duels5.5
Clutch3.6

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

donk

Plays most like donk 87% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 53% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 550ms 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

Aim9.3
Positioning5.8
Utility5.1
Mechanics8.4
Opening Duels3.8
Win Impact3.8

Composite 6.9/10 (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 rating0.02−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time556ms−35ms
first ⅓ avg 591ms → last ⅓ avg 556ms
Headshot accuracy20.5%−1.7%
first ⅓ avg 22.2% → last ⅓ avg 20.5%

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

0.15Best match rating · 13–1 · inferno, 30 Jul →
40%Best headshot accuracy · 13–10 · dust2, 7 Aug →
406msFastest reaction time · 13–7 · inferno, 30 Jul →
13–1Biggest win · inferno, 30 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
9–5In matches decided by ≤2 rounds
15Overtime games

Map breakdown

cacheBest map · 80% over 5mirageWeakest map · 43% over 30
MapGradePlayedRecordWin rateAvg rating
dust2B3216–1650%0.02
mirageC3013–1743%0.01
ancientB158–753%-0.00
anubisA95–456%0.03
infernoA85–363%0.06
cacheS54–180%0.06
nuke—11–0100%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (43% over 30). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

589Matches
52%Win rate
1.25Avg K/D
95.3ADR
50%Headshot %

Clutches & streaks

38%1v1 clutch win
27%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust218160%1.4320.4
Mirage18150%1.1618.1
Ancient7544%1.2018.9
Inferno5540%1.0115.6
Train3358%1.6917.7
Nuke2433%0.9414.7
Anubis2454%1.0415.3
Vertigo1070%1.2619.2

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.

21.1%Headshot accuracy
43.0%Accuracy (enemy spotted)
46.9%Spray accuracy
87.8%Counter-strafing
9.3°Preaim
550msReaction time
36.8%T opening success
53.3%CT opening success
0.54Enemies flashed / flash
6.1%Flash assists
12.22HE damage / grenade
5.92Flashes / 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 36.7792% — below the 40% mark we flag

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.

43% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–9-0.0129%22 Oct →
nuke13–10-0.0329%20 Oct →
dust213–80.0425%23 Sept →
dust210–130.0127%15 Aug →
mirage8–130.0418%14 Aug →
mirage16–120.0125%14 Aug →
inferno13–100.119%14 Aug →
ancient7–130.0037%14 Aug →
dust26–130.0523%14 Aug →
dust211–130.0122%14 Aug →
inferno13–60.0721%14 Aug →
dust212–160.0221%14 Aug →
mirage15–150.0120%13 Aug →
mirage15–150.0821%12 Aug →
ancient13–60.0020%12 Aug →
ancient9–13-0.0128%12 Aug →
inferno7–130.0427%11 Aug →
dust213–90.0116%11 Aug →
dust28–130.0613%11 Aug →
dust213–40.1130%11 Aug →
cache16–130.0117%11 Aug →
anubis8–13-0.088%10 Aug →
anubis10–130.049%10 Aug →
anubis13–110.0214%10 Aug →
ancient5–13-0.0223%10 Aug →
ancient6–13-0.0325%9 Aug →
dust213–40.0815%9 Aug →
dust23–13-0.0126%9 Aug →
mirage11–13-0.0131%8 Aug →
ancient13–10-0.0011%8 Aug →
mirage16–14-0.0416%8 Aug →
mirage8–13-0.0510%8 Aug →
inferno10–13-0.0313%7 Aug →
cache13–40.1421%7 Aug →
mirage6–13-0.0113%7 Aug →
inferno13–90.0212%7 Aug →
dust213–100.0340%7 Aug →
ancient13–70.0017%7 Aug →
mirage6–130.0320%7 Aug →
ancient13–11-0.0215%7 Aug →
cache13–60.0024%7 Aug →
anubis13–10-0.029%6 Aug →
dust214–160.0413%5 Aug →
dust213–60.0326%5 Aug →
dust213–10-0.0316%5 Aug →
dust29–130.0018%5 Aug →
mirage13–110.0314%5 Aug →
mirage16–140.0618%4 Aug →
mirage0–13-0.0722%4 Aug →
dust26–130.0414%4 Aug →
dust213–90.069%4 Aug →
mirage9–13-0.0221%4 Aug →
anubis3–130.0014%4 Aug →
mirage15–150.0423%4 Aug →
ancient13–40.0620%3 Aug →
mirage13–70.0514%3 Aug →
mirage13–30.1416%3 Aug →
mirage11–13-0.0414%2 Aug →
cache13–60.1519%2 Aug →
dust213–90.0110%2 Aug →
mirage2–13-0.0818%2 Aug →
mirage13–50.0835%2 Aug →
ancient16–140.0411%2 Aug →
dust28–13-0.0218%2 Aug →
mirage1–13-0.0625%1 Aug →
ancient13–30.0026%1 Aug →
dust213–11-0.0426%1 Aug →
dust27–130.0239%1 Aug →
mirage9–130.0523%1 Aug →
dust26–13-0.0131%31 Jul →
mirage16–12-0.0117%31 Jul →
inferno13–160.0411%31 Jul →
mirage6–13-0.0522%31 Jul →
mirage13–110.0025%31 Jul →
anubis13–50.0821%31 Jul →
mirage11–13-0.0223%31 Jul →
dust213–100.0524%31 Jul →
mirage8–130.0129%31 Jul →
dust29–13-0.0221%31 Jul →
dust213–70.0824%31 Jul →
inferno13–10.1518%30 Jul →
inferno13–70.1028%30 Jul →
anubis10–130.0524%30 Jul →
dust215–150.0415%30 Jul →
anubis13–100.1414%30 Jul →
dust216–140.0422%30 Jul →
dust213–50.0233%30 Jul →
dust213–90.0414%30 Jul →
ancient8–13-0.0615%30 Jul →
ancient9–13-0.0718%30 Jul →
dust215–150.0127%30 Jul →
mirage13–90.0215%30 Jul →
dust213–20.0229%30 Jul →
cache5–130.0023%29 Jul →
mirage13–70.0522%29 Jul →
anubis13–6-0.0021%29 Jul →
dust28–130.0212%29 Jul →
mirage13–70.0516%29 Jul →
ancient9–130.0731%29 Jul →
mirage13–70.0925%28 Jul →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 MatchesAim 90+
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.