Piuwpiew

Piuwpiew — CS2 Stats

MY76561198218528485[U:1:258262757]Steam profile ↗✓ No bans

609Tracked matches41%Win rate2020Tracked since
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating8,549Light Blue band · top ~61.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (2 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: 8,549 +951 21 Aug – 15 Oct · 28 days played
7,59810,000peak 10,00021 Aug15 Oct
10,123Peak Premier in tracked matches
28Days played since 2026-08-21

Premier CS Rating

  • 1,451 below peak (10,000)
  • -855 over 30 days · declining
  • Next: Blue band at 10,000 — 1,451 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-16

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

Share this profile

CSDB.GGPiuwpiewPREMIER8,549 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim57
Positioning56
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateWLWLLWWWTL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +1.4pp headshot accuracy · +45ms 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 -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 664ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 620ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 597ms

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 (+1.2 against its own average).

Aim5.7
Utility4.4
Positioning5.6
Opening Duels3.2

Limited utility dependence

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 85% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim 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

Areas to improve

Reaction time. 584ms 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

Aim5.7
Positioning5.6
Utility4.4
Mechanics6.0
Opening Duels5.3
Win Impact2.1

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time588ms−8ms
first ⅓ avg 596ms → last ⅓ avg 588ms
Headshot accuracy15.2%+0.4%
first ⅓ avg 14.8% → last ⅓ avg 15.2%

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

0.12Best match rating · 13–9 · dust2, 23 Aug →
32%Best headshot accuracy · 13–5 · inferno, 23 Aug →
453msFastest reaction time · 16–13 · inferno, 8 Sept →
13–0Biggest win · anubis, 27 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
9–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 55% over 11anubisWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B2815–1354%0.02
mirageB2311–1248%-0.02
ancientC125–742%0.01
infernoA116–555%-0.02
anubisD103–730%-0.01
cacheD93–633%-0.01
nukeC73–443%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis 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.

14.4%Headshot accuracy
35.2%Accuracy (enemy spotted)
34.0%Spray accuracy
77.1%Counter-strafing
11.4°Preaim
584msReaction time
58.1%T opening success
44.1%CT opening success
0.53Enemies flashed / flash
2.2%Flash assists
10.73HE damage / grenade
4.96Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.4484% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Anubis

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–11-0.0315%15 Oct →
anubis7–13-0.088%15 Oct →
cache13–110.0519%15 Oct →
inferno11–13-0.057%6 Oct →
cache0–5-0.0322%6 Oct →
dust213–9-0.0216%6 Oct →
dust213–90.0719%6 Oct →
dust213–40.0330%6 Oct →
mirage15–150.0418%5 Oct →
inferno10–130.0118%1 Oct →
anubis13–00.0424%27 Sept →
cache5–13-0.0223%27 Sept →
cache10–130.0024%26 Sept →
anubis10–130.0318%26 Sept →
dust22–130.027%26 Sept →
anubis11–13-0.0316%26 Sept →
mirage13–6-0.0529%26 Sept →
ancient7–13-0.093%22 Sept →
inferno13–100.016%22 Sept →
dust28–13-0.067%22 Sept →
nuke10–13-0.036%22 Sept →
dust213–9-0.0112%22 Sept →
dust26–130.0313%21 Sept →
mirage13–7-0.0012%21 Sept →
cache4–13-0.0111%19 Sept →
nuke6–13-0.016%19 Sept →
anubis13–5-0.0112%19 Sept →
mirage5–130.0113%18 Sept →
ancient14–160.0317%18 Sept →
dust216–140.0211%18 Sept →
ancient13–30.0424%18 Sept →
mirage13–7-0.0318%17 Sept →
ancient8–130.0317%17 Sept →
mirage13–2-0.0510%17 Sept →
anubis7–130.027%16 Sept →
mirage13–11-0.0515%16 Sept →
nuke5–130.1011%16 Sept →
dust213–40.089%16 Sept →
anubis10–130.0012%15 Sept →
dust213–11-0.028%15 Sept →
nuke13–7-0.0414%15 Sept →
cache8–13-0.049%14 Sept →
dust29–130.0213%14 Sept →
inferno0–2-0.120%14 Sept →
mirage10–13-0.087%13 Sept →
anubis9–13-0.072%13 Sept →
dust213–60.0119%13 Sept →
cache13–100.0317%10 Sept →
mirage13–40.0221%10 Sept →
nuke15–150.0425%10 Sept →
dust213–110.0417%10 Sept →
ancient16–140.018%9 Sept →
mirage10–13-0.0711%9 Sept →
mirage6–13-0.047%9 Sept →
mirage13–70.048%9 Sept →
inferno13–100.0111%8 Sept →
mirage9–130.0524%8 Sept →
inferno16–130.0112%8 Sept →
dust213–60.0316%8 Sept →
ancient4–130.0118%7 Sept →
inferno13–100.0214%7 Sept →
cache16–140.0214%7 Sept →
ancient11–130.0317%6 Sept →
mirage13–2-0.0313%6 Sept →
mirage11–13-0.019%6 Sept →
dust215–150.0416%2 Sept →
ancient13–40.0516%2 Sept →
dust215–150.0210%2 Sept →
mirage13–70.0314%2 Sept →
mirage14–16-0.0313%2 Sept →
mirage4–13-0.0110%1 Sept →
dust213–50.0915%1 Sept →
dust26–13-0.0116%1 Sept →
anubis13–7-0.0118%1 Sept →
mirage13–5-0.0413%1 Sept →
mirage5–13-0.0215%1 Sept →
inferno13–7-0.0817%27 Aug →
ancient6–13-0.059%26 Aug →
dust28–130.045%26 Aug →
cache11–13-0.0621%26 Aug →
nuke13–80.0112%26 Aug →
ancient13–60.1015%26 Aug →
mirage15–15-0.0712%25 Aug →
anubis3–130.0012%25 Aug →
dust25–13-0.0310%25 Aug →
dust213–8-0.028%25 Aug →
dust211–13-0.0216%25 Aug →
ancient13–60.0916%23 Aug →
dust29–130.0114%23 Aug →
inferno10–13-0.0215%23 Aug →
dust213–110.0422%23 Aug →
dust213–90.1213%23 Aug →
inferno13–50.0432%23 Aug →
dust22–13-0.0715%22 Aug →
ancient8–13-0.0913%22 Aug →
mirage4–13-0.1121%22 Aug →
dust213–5-0.0017%22 Aug →
mirage13–7-0.0614%21 Aug →
dust210–130.0416%21 Aug →
inferno9–13-0.0718%21 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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