Pyutred — CS2 Stats

76561198268615958[U:1:308350230]✓ No bans

281Tracked matches36%Win rate2020Tracked since
1,056Hours in CS
CSDB Rating4.9 DevelopingHybrid Rifler
Premier CS Rating11,301Blue band · top ~48% of ranked players (population est.)
CSDB Leaderboard#17506 of 24469 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate37.4%41.7%44.1%6.7% short
Shot accuracy20.9%8.8%11.4%above
Kill/death ratio1.250.971.03above
Match win rate43.7%43.8%45.2%1.5% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPyutredPREMIER11,301 · Blue bandcsdb.gg/stats

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Performance scores

Aim69
Positioning57
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY39547Last 10039%Win rateLLWWLWWLWL

Last 10 vs previous 10: +40pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.9
Aggression6.9
Utility2.5
Positioning5.7
Opening Duels3.0

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.

Your pro match

b1t

Plays most like b1t 85% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; 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

Areas to improve

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

Reaction time. 601ms 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

Aim6.9
Positioning5.7
Utility2.5
Mechanics8.1
Opening Duels3.0
Win Impact0.2

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time599ms−15ms
first ⅓ avg 614ms → last ⅓ avg 599ms
Headshot accuracy16.7%−0.0%
first ⅓ avg 16.7% → last ⅓ avg 16.7%

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.

Highlights

0.16Best rating — overpass 13–6
131Biggest win — dust2
5Longest win streak
L2Current streak
36In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 62% over 13trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageD33102330%0.03
nukeA138562%0.01
infernoA138562%0.03
ancientD93633%-0.02
cacheD82625%0.01
overpassD82625%0.01
dust2A74357%0.04
trainD51420%0.01
shelter2020%0.01
anubis21150%-0.02

Across the last 100 tracked matches.

Lifetime stats

60,896Lifetime kills
1.25K/D · Top 10% of Blue band
2,773Matches
43.7%Match win rate
37.4%Headshot %
20.9%Shot accuracy · Top 1% of Blue band
8,940MVPs
1,056Hours (in match)
2,206Bombs planted
711Bombs defused

Most-used weapons

Lifetime map wins

3,073inferno
2,538dust2
1,113train
932nuke
414cbble
197vertigo
150lake
64office

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

Skill profile

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

15.5%Headshot accuracy
37.5%Accuracy (enemy spotted)
37.3%Spray accuracy
86.5%Counter-strafing
11.6°Preaim
601msReaction time
34.5%T opening success
49.3%CT opening success
0.35Enemies flashed / flash
5.6%Flash assists
7.75HE damage / grenade
1.66Flashes / 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 0.3508 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 34.5022% — below the 40% mark we flag

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage1–7-0.1017%21 Aug
ancient11–13-0.0118%21 Aug
nuke13–40.069%19 Aug
mirage13–4-0.023%19 Aug
cache11–130.0013%17 Aug
nuke16–140.0422%15 Aug
dust213–100.0514%15 Aug
mirage14–160.0110%15 Aug
mirage13–9-0.0213%14 Aug
mirage5–130.0414%14 Aug
mirage4–13-0.0118%13 Aug
nuke5–130.0210%13 Aug
nuke10–130.0319%8 Aug
shelter12–120.0223%7 Aug
cache7–130.0518%4 Aug
mirage6–130.0323%2 Aug
mirage6–130.0426%1 Aug
cache5–13-0.0810%1 Aug
overpass13–90.0117%1 Aug
shelter4–130.0114%1 Aug
inferno13–30.1129%1 Aug
inferno10–130.0016%31 Jul
ancient7–13-0.118%30 Jul
cache13–40.0819%22 Jul
mirage9–130.0518%18 Jul
mirage12–120.0310%18 Jul
mirage8–130.0314%17 Jul
mirage13–40.0810%17 Jul
dust211–13-0.0218%15 Jul
cache13–60.027%15 Jul
cache4–13-0.0218%14 Jul
mirage12–160.0537%14 Jul
dust213–10.0933%14 Jul
cache7–13-0.0610%12 Jul
nuke7–00.1224%12 Jul
mirage2–13-0.0516%12 Jul
cache4–130.0419%12 Jul
dust213–30.0113%12 Jul
mirage15–150.0615%11 Jul
mirage12–120.0714%23 Apr
dust213–20.0919%23 Apr
dust26–130.0229%11 Feb
ancient13–6-0.068%9 Feb
mirage13–50.1416%15 Jan
overpass1–13-0.0333%15 Jan
overpass5–13-0.0013%15 Jan
mirage3–13-0.0224%15 Jan
inferno3–13-0.0725%14 Jan
inferno13–10-0.0024%12 Jan
mirage13–160.0418%19 Dec
nuke13–10-0.0025%13 Dec
nuke5–13-0.0921%13 Dec
nuke13–80.0723%13 Dec
mirage13–16-0.0118%12 Dec
inferno13–60.0722%12 Dec
mirage8–13-0.0222%12 Dec
train3–13-0.0421%12 Dec
ancient11–13-0.0021%11 Dec
ancient10–13-0.0428%11 Dec
mirage13–10-0.0423%11 Dec
overpass15–15-0.0320%11 Dec
mirage13–90.0515%11 Dec
nuke5–13-0.0312%11 Dec
nuke13–80.0115%11 Dec
inferno13–20.0217%11 Dec
mirage13–70.1224%11 Dec
train8–130.0823%6 Oct
mirage2–130.0222%14 Sept
ancient13–40.0515%14 Sept
overpass5–130.0013%13 Sept
inferno13–10-0.0213%12 Sept
mirage13–30.0912%12 Sept
mirage12–16-0.0121%12 Sept
inferno10–130.0019%12 Sept
dust28–130.0116%3 Sept
overpass13–160.0112%3 Sept
train13–40.0711%2 Sept
anubis13–20.0515%31 Aug
inferno13–100.1413%31 Aug
train11–130.0425%30 Aug
overpass8–13-0.0628%29 Aug
inferno12–120.0314%28 Aug
overpass13–60.1622%28 Aug
mirage4–130.0214%28 Aug
ancient4–130.0315%27 Aug
inferno10–130.0626%1 Aug
nuke5–13-0.0215%29 May
mirage13–100.014%27 May
nuke13–90.0130%27 May
nuke13–11-0.0512%26 May
inferno13–70.0812%17 May
ancient13–8-0.0222%17 May
anubis8–13-0.0912%19 Feb
ancient10–130.0222%18 Feb
mirage13–90.0617%17 Feb
inferno11–11-0.039%17 Feb
mirage6–130.0316%16 Feb
mirage15–150.1115%16 Feb
mirage5–130.0718%15 Feb
train7–13-0.0720%15 Feb

Match data via Leetify.

Recent teammates

Milestones

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