Pr0xy

Pr0xy — CS2 Stats

US76561198362254295[U:1:401988567]Steam profile ↗✓ No bans

577Tracked matches31%Win rate2023Tracked since
1,473Hours in CS32Hrs last 2 wks
CSDB Rating3.8 LearningPositional Player
Premier CS Rating8,522Light Blue band · top ~62% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (8 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: 8,522 -371 20 Sept – 28 Oct · 13 days played
7,7889,321peak 9,32120 Sept28 Oct
9,433Peak Premier in tracked matches
21Days played since 2026-09-20

Premier CS Rating

  • 799 below peak (9,321)
  • -799 over 30 days · declining
  • Next: Blue band at 10,000 — 1,478 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-24

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

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate28.6%39.9%42.0%13.4% short
Shot accuracy6.9%7.0%9.6%2.7% short
Kill/death ratio0.770.920.980.21 short
Match win rate32.3%42.3%43.8%11.5% short

This profile sits below the typical Blue band player on every metric we can compare.

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

Share this profile

CSDB.GGPr0xyPREMIER8,522 · Light Blue bandcsdb.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

Aim61
Positioning32
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY38–57–5Last 10038%Win rateLLWWWLLWLL

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · −2.4pp headshot accuracy · −37ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 602ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 601ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 620ms

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 (+1.1 against its own average).

Aim6.1
Utility3.1
Positioning3.2
Opening Duels0.0

Excellent counter-strafingLimited 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

ropz

Plays most like ropz 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

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

Reaction time. 613ms 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

Aim6.1
Positioning3.2
Utility3.1
Mechanics8.5
Opening Duels0.3
Win Impact0.0

Composite 3.8/10 (Learning), 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-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time621ms−38ms
first ⅓ avg 660ms → last ⅓ avg 621ms
Headshot accuracy10.6%+1.0%
first ⅓ avg 9.6% → last ⅓ avg 10.6%

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 · 13–1 · anubis, 7 Oct →
41%Best headshot accuracy · 13–5 · dust2, 5 Oct →
422msFastest reaction time · 11–13 · office, 19 Oct →
13–1Biggest win · mirage, 28 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
5–6In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 57% over 14mirageWeakest map · 13% over 16
MapGradePlayedRecordWin rateAvg rating
dust2A169–756%-0.03
mirageD162–1413%-0.04
anubisC145–936%-0.03
nukeA148–657%-0.06
infernoB126–650%-0.05
cacheD93–633%-0.04
ancientD92–722%-0.04
office—41–325%-0.06
vertigo—42–250%-0.00
train—20–20%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

11,361Lifetime kills
0.77K/D
886Matches
32.3%Match win rate
28.6%Headshot %
6.9%Shot accuracy
620MVPs
356Hours (in match)
628Bombs planted
72Bombs defused

Most-used weapons

Lifetime map wins

918dust2
854inferno
534nuke
279vertigo
274office
191train
27italy
16assault

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.

11.0%Headshot accuracy
34.0%Accuracy (enemy spotted)
34.5%Spray accuracy
88.3%Counter-strafing
10.0°Preaim
613msReaction time
17.9%T opening success
32.7%CT opening success
0.27Enemies flashed / flash
1.8%Flash assists
7.95HE damage / grenade
3.41Flashes / 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 11.0136% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2678 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 17.9357% — 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.

13% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.099%5 Nov →
anubis9–13-0.0711%3 Nov →
dust213–5-0.047%3 Nov →
office13–9-0.0714%3 Nov →
cache13–8-0.049%3 Nov →
ancient1–13-0.1113%3 Nov →
dust22–13-0.1220%2 Nov →
mirage13–1-0.028%28 Oct →
anubis6–130.019%23 Oct →
mirage6–13-0.079%23 Oct →
cache11–13-0.0116%23 Oct →
inferno9–13-0.0714%22 Oct →
inferno10–13-0.0815%22 Oct →
cache6–13-0.1116%22 Oct →
mirage9–13-0.0315%21 Oct →
cache7–13-0.0216%21 Oct →
inferno6–13-0.0313%21 Oct →
inferno13–80.0312%21 Oct →
nuke13–20.0310%20 Oct →
cache11–13-0.067%20 Oct →
anubis13–6-0.034%19 Oct →
train12–12-0.038%19 Oct →
dust213–90.0113%19 Oct →
mirage8–13-0.0210%19 Oct →
ancient3–13-0.125%19 Oct →
nuke9–13-0.068%19 Oct →
ancient2–13-0.066%19 Oct →
office11–13-0.0214%19 Oct →
nuke13–11-0.076%18 Oct →
mirage10–13-0.0911%18 Oct →
dust23–13-0.1413%14 Oct →
anubis5–13-0.088%14 Oct →
nuke2–13-0.063%7 Oct →
nuke13–7-0.0712%7 Oct →
anubis13–9-0.047%7 Oct →
dust213–5-0.0211%7 Oct →
mirage10–130.0215%7 Oct →
dust213–10-0.0316%7 Oct →
train4–13-0.067%7 Oct →
ancient1–13-0.0613%7 Oct →
dust213–50.0317%7 Oct →
nuke4–13-0.0717%7 Oct →
anubis13–10.1210%7 Oct →
cache7–130.0315%7 Oct →
ancient12–120.0515%7 Oct →
nuke3–13-0.1214%7 Oct →
mirage13–5-0.044%7 Oct →
inferno13–6-0.0318%7 Oct →
nuke13–9-0.0710%6 Oct →
anubis4–13-0.023%6 Oct →
ancient5–13-0.084%6 Oct →
dust29–130.0311%6 Oct →
dust212–120.0111%6 Oct →
anubis7–13-0.0118%6 Oct →
mirage10–13-0.037%6 Oct →
mirage11–13-0.0914%6 Oct →
dust213–110.0112%6 Oct →
nuke13–11-0.0713%6 Oct →
ancient3–13-0.048%6 Oct →
mirage10–13-0.047%5 Oct →
inferno13–6-0.029%5 Oct →
dust213–5-0.0141%5 Oct →
inferno9–13-0.084%5 Oct →
dust212–12-0.0412%5 Oct →
anubis10–13-0.0411%30 Sept →
inferno5–13-0.0919%30 Sept →
nuke2–13-0.1317%30 Sept →
anubis3–13-0.0719%29 Sept →
nuke13–11-0.034%29 Sept →
anubis13–100.0012%29 Sept →
vertigo13–30.087%24 Sept →
dust213–3-0.0319%24 Sept →
cache13–11-0.027%24 Sept →
inferno13–5-0.050%24 Sept →
nuke13–8-0.040%24 Sept →
office6–13-0.0710%24 Sept →
anubis10–13-0.023%24 Sept →
vertigo6–13-0.019%23 Sept →
vertigo3–13-0.110%23 Sept →
vertigo13–80.031%23 Sept →
dust213–10-0.0113%22 Sept →
mirage12–120.0211%22 Sept →
dust26–13-0.018%22 Sept →
ancient13–8-0.039%22 Sept →
mirage4–13-0.1017%21 Sept →
ancient13–50.076%21 Sept →
inferno13–10-0.0013%21 Sept →
mirage3–13-0.0416%21 Sept →
nuke9–13-0.0619%21 Sept →
mirage6–13-0.0712%21 Sept →
cache13–9-0.0715%21 Sept →
dust28–13-0.0519%21 Sept →
office10–13-0.105%20 Sept →
mirage11–13-0.037%20 Sept →
mirage9–13-0.054%20 Sept →
nuke13–6-0.0117%20 Sept →
inferno13–7-0.025%20 Sept →
cache11–13-0.0415%20 Sept →
anubis13–6-0.0410%20 Sept →
inferno6–13-0.105%20 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.