Pelon

Pelon — CS2 Stats

US76561198120950689[U:1:160684961]Steam profile ↗

418Tracked matches63%Win rate2020Tracked since
636Hours in CS
CSDB Rating5.1 Developing
Premier CS Rating17,747Purple band · top ~17.5% of ranked players (population est.)
CSDB Leaderboard#23161 of 46246 tracked
WingmanSilver IV
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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 rate34.1%44.2%47.1%13.0% short
Shot accuracy14.9%11.6%12.8%above
Kill/death ratio1.171.031.08above
Match win rate33.1%45.2%46.6%13.5% short

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

Widest gap: Match win 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.

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CSDB.GGPelonPREMIER17,747 · Purple bandcsdb.gg/stats

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Performance scores

Aim48
Positioning51
Utility50

0–100 skill scores via Leetify.

Recent form

HOT56422Last 10056%Win rateLWWLWWWWLW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim4.8
Aggression6.6
Utility5.0
Positioning5.1
Opening Duels3.3

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

ropz

Plays most like ropz 85% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: 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

T-side openings. Opening success drops from 56% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 604ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim4.8
Positioning5.1
Utility5.0
Mechanics3.9
Opening Duels3.3
Win Impact9.4

Composite 5.1/10 (Developing), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time594ms−57ms
first ⅓ avg 652ms → last ⅓ avg 594ms
Headshot accuracy17.8%−3.6%
first ⅓ avg 21.4% → last ⅓ avg 17.8%

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 — warden 13–11
131Biggest win — mirage
8Longest win streak
164In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 100% over 6officeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A23131057%0.01
ancientB179853%-0.00
nukeA1710759%0.00
anubisC94544%0.01
cacheA74357%0.03
overpassS660100%0.02
officeC52340%0.01
infernoC52340%0.03
mirage42250%0.03
alpine21150%-0.04
warden220100%0.09
italy2020%-0.01
boulder110100%0.05

Across the last 100 tracked matches.

Lifetime stats

44,262Lifetime kills
1.17K/D · Top 25% of Purple band
2,281Matches
33.1%Match win rate
34.1%Headshot %
14.9%Shot accuracy · Top 50% of Purple band
3,572MVPs
636Hours (in match)
903Bombs planted
298Bombs defused

Most-used weapons

AK-477,451
AWP6,894
P2501,411
UMP-451,263
MP91,148

Lifetime map wins

2,955dust2
1,127inferno
945nuke
420train
221office
98safehouse
75vertigo
72aztec

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.

16.6%Headshot accuracy
33.6%Accuracy (enemy spotted)
36.2%Spray accuracy
67.3%Counter-strafing
11.8°Preaim
604msReaction time
30.2%T opening success
56.3%CT opening success
0.43Enemies flashed / flash
10.7%Flash assists
7.10HE damage / grenade
7.22Flashes / 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 0.4289 — 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 30.1755% — below the 40% mark we flag

Spend your practice time on Inferno

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient8–13-0.0917%7 Aug
anubis13–11-0.0324%7 Aug
ancient13–11-0.0316%6 Aug
ancient3–13-0.048%1 Aug
boulder10–00.0563%30 Jul
dust213–100.0617%29 Jul
dust213–60.0820%28 Jul
nuke13–4-0.0116%28 Jul
nuke8–13-0.054%25 Jul
ancient13–90.0310%25 Jul
office11–13-0.0133%24 Jul
cache13–80.0317%24 Jul
dust213–90.0313%23 Jul
dust213–70.0610%23 Jul
ancient10–13-0.0119%23 Jul
nuke13–100.0011%23 Jul
cache13–70.0618%23 Jul
dust213–8-0.0515%22 Jul
ancient16–120.0512%22 Jul
cache9–130.0520%14 Jul
inferno13–50.0212%14 Jul
dust210–130.0120%14 Jul
ancient13–40.0817%14 Jul
nuke10–13-0.0232%13 Jul
anubis13–110.0415%13 Jul
cache3–13-0.0315%13 Jul
mirage13–10.098%13 Jul
dust213–50.0516%3 Jul
nuke12–16-0.017%3 Jul
alpine4–13-0.0724%1 Jul
warden13–110.1612%1 Jul
office5–30.0430%1 Jul
italy9–13-0.0116%1 Jul
dust213–110.0017%1 Jul
nuke13–80.0127%1 Jul
dust28–130.0524%1 Jul
overpass16–140.0016%30 Jun
nuke13–160.0426%30 Jun
ancient16–130.0518%30 Jun
office13–11-0.0422%26 Jun
ancient6–13-0.0410%26 Jun
dust28–130.0523%25 Jun
nuke8–13-0.0219%24 Jun
ancient3–130.0224%20 Jun
nuke9–13-0.0219%19 Jun
dust25–13-0.0513%19 Jun
anubis16–12-0.0117%17 Jun
nuke13–50.0140%17 Jun
mirage13–70.0511%10 Jun
dust213–80.0615%10 Jun
dust28–130.008%4 Jun
nuke5–13-0.0112%3 Jun
overpass16–14-0.0215%3 Jun
nuke13–50.0312%2 Jun
overpass13–20.0625%2 Jun
inferno6–130.0920%2 Jun
dust213–100.0217%2 Jun
ancient10–13-0.0215%1 Jun
office11–130.0716%31 May
ancient9–13-0.0514%28 May
dust213–11-0.0020%28 May
ancient10–13-0.0116%26 May
overpass13–70.0413%26 May
anubis13–160.0313%26 May
ancient13–40.0113%25 May
anubis13–11-0.0114%18 May
nuke13–7-0.043%13 May
inferno7–13-0.0620%13 May
dust213–110.0013%8 May
dust20–13-0.0624%8 May
nuke13–70.0314%8 May
anubis10–130.0617%7 May
inferno4–13-0.0415%5 May
cache11–13-0.0324%4 May
cache13–110.0916%2 May
dust213–70.0726%2 May
cache13–90.018%30 Apr
dust23–13-0.0720%25 Apr
dust213–90.0729%25 Apr
office12–120.0116%13 Mar
overpass13–10-0.0120%26 Feb
alpine13–11-0.0130%23 Feb
warden13–60.0228%23 Feb
ancient13–60.0322%12 Feb
nuke13–110.0616%12 Feb
nuke13–90.0220%8 Feb
ancient16–13-0.0123%8 Feb
ancient13–90.0131%8 Feb
italy3–3-0.0250%5 Feb
dust28–13-0.0113%5 Feb
anubis10–130.0012%3 Feb
overpass13–50.0721%31 Jan
anubis15–15-0.0221%28 Jan
anubis8–130.0226%27 Jan
nuke13–110.0526%27 Jan
mirage9–13-0.0313%27 Jan
mirage5–130.0239%20 Jan
dust210–13-0.0413%14 Jan
inferno13–20.1421%14 Jan
dust28–13-0.0218%12 Jan

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 →