Guy

Guy — CS2 Stats

76561199130280646[U:1:1170014918]Steam profile ↗✓ No bans

605Tracked matches52%Win rate2025Tracked since
348Hours in CS
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating16,078Purple band · top ~24.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (yesterday). 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: 16,078 +7,103 30 Aug – 3 Oct · 14 days played
8,97517,791peak 17,79130 Aug3 Oct
17,857Peak Premier in tracked matches
16Days played since 2026-08-30

Premier CS Rating

  • 1,713 below peak (17,791)
  • +7,103 over 30 days · improving
  • Next: Pink band at 20,000 — 3,922 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Light Blue band first seen 2026-08-30

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches168——
Win rate58%——
K/D0.87——
Headshot %40%——

Measured 6 Sep 2026 → 4 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 rate39.2%44.3%46.9%7.8% short
Shot accuracy0.0%11.9%13.0%13.0% short
Kill/death ratio0.971.031.080.11 short
Match win rate47.5%45.2%46.7%meets

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.

Share this profile

CSDB.GGGuyPREMIER16,078 · Purple bandcsdb.gg/stats

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Performance scores

Aim62
Positioning46
Utility12

0–100 skill scores via Leetify.

Recent form

COLD54–34–12Last 10054%Win rateLLLLTWLWLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −2.1pp headshot accuracy · +78ms reaction

Win rate down 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 6%
  • Avg reaction 574ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 6%
  • Avg reaction 628ms

Last 20

  • 6–10–4 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 7%
  • Avg reaction 588ms

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 (+2.2 against its own average).

Aim6.2
Utility1.2
Positioning4.6
Opening Duels1.2
Clutch2.6

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

ropz

Plays most like ropz 84% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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. 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

Aim6.2
Positioning4.6
Utility1.2
Mechanics6.6
Opening Duels1.3
Win Impact5.7

Composite 4.7/10 (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 rating-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time587ms−61ms
first ⅓ avg 648ms → last ⅓ avg 587ms
Headshot accuracy9.5%−1.5%
first ⅓ avg 11.0% → last ⅓ avg 9.5%

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

0.14Best match rating · 13–1 · cache, 27 Sept →
26%Best headshot accuracy · 2–13 · dust2, 30 Sept →
484msFastest reaction time · 13–7 · cache, 1 Oct →
13–0Biggest win · mirage, 17 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L4Current streak
5–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 70% over 10anubisWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageS2617–965%-0.03
dust2C167–944%-0.03
nukeB158–753%-0.02
infernoA116–555%-0.03
anubisD103–730%-0.04
cacheS107–370%0.01
ancientB84–450%-0.01
vertigo—21–150%0.01
office—10–10%0.08
overpass—11–0100%-0.05

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.

Lifetime stats

12,807Lifetime kills
0.97K/D
885Matches
47.5%Match win rate · Top 50% of Purple band
39.2%Headshot %
0.0%Shot accuracy
1,490MVPs
348Hours (in match)
550Bombs planted
178Bombs defused

Most-used weapons

Lifetime map wins

1,954dust2
1,334nuke
399inferno
145train
125vertigo
77office

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

Faceit stats

Combat

6Matches
50%Win rate
0.94Avg K/D
75.3ADR
64%Headshot %

Clutches & streaks

33%1v1 clutch win
44%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage333%0.9414.0
Dust210%0.7814.0
Anubis1100%1.4320.0
Cache1100%0.606.0

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.

8.9%Headshot accuracy
36.9%Accuracy (enemy spotted)
37.4%Spray accuracy
79.8%Counter-strafing
9.8°Preaim
584msReaction time
26.5%T opening success
40.6%CT opening success
0.27Enemies flashed / flash
1.7%Flash assists
3.71HE damage / grenade
1.25Flashes / 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 8.8818% — 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 0.2733 — 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 26.5459% — below the 40% mark we flag

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
inferno11–13-0.024%3 Oct →
anubis10–13-0.118%3 Oct →
inferno14–16-0.059%3 Oct →
vertigo10–130.099%3 Oct →
office12–120.082%3 Oct →
dust213–7-0.055%3 Oct →
mirage7–13-0.067%3 Oct →
inferno13–80.057%3 Oct →
mirage9–13-0.076%3 Oct →
dust22–13-0.047%3 Oct →
dust23–13-0.0613%3 Oct →
mirage13–5-0.002%3 Oct →
dust213–90.0410%3 Oct →
mirage13–10-0.0013%3 Oct →
nuke7–13-0.065%3 Oct →
nuke13–7-0.0214%2 Oct →
anubis15–15-0.047%2 Oct →
nuke12–12-0.0311%2 Oct →
ancient15–150.057%2 Oct →
cache10–130.044%2 Oct →
nuke13–70.0811%2 Oct →
anubis13–11-0.027%2 Oct →
cache13–70.0220%1 Oct →
mirage13–11-0.0121%1 Oct →
mirage13–5-0.047%1 Oct →
cache13–5-0.0311%1 Oct →
dust213–6-0.0523%1 Oct →
mirage10–13-0.095%1 Oct →
ancient15–15-0.029%1 Oct →
nuke6–13-0.086%1 Oct →
dust215–15-0.0314%1 Oct →
mirage13–50.0110%1 Oct →
mirage13–10-0.0621%1 Oct →
anubis13–7-0.044%1 Oct →
cache9–130.0313%1 Oct →
dust22–13-0.0126%30 Sept →
cache13–8-0.059%29 Sept →
inferno13–4-0.029%29 Sept →
mirage8–13-0.0610%29 Sept →
ancient13–9-0.018%29 Sept →
nuke7–13-0.0810%29 Sept →
nuke13–8-0.0110%29 Sept →
overpass13–11-0.055%29 Sept →
mirage13–6-0.0113%29 Sept →
mirage13–1-0.0211%29 Sept →
vertigo13–7-0.077%29 Sept →
ancient13–9-0.0311%29 Sept →
inferno13–5-0.0010%29 Sept →
cache13–7-0.029%29 Sept →
inferno13–90.0211%29 Sept →
nuke9–13-0.0314%29 Sept →
dust29–13-0.0412%29 Sept →
cache13–5-0.0215%28 Sept →
ancient2–13-0.1016%27 Sept →
anubis13–16-0.065%27 Sept →
ancient4–13-0.0210%27 Sept →
cache13–10.1422%27 Sept →
inferno13–9-0.059%26 Sept →
ancient13–60.067%26 Sept →
mirage13–90.0412%26 Sept →
nuke15–15-0.0311%26 Sept →
inferno13–10-0.0914%26 Sept →
nuke16–130.025%25 Sept →
anubis11–13-0.075%25 Sept →
inferno15–15-0.0412%25 Sept →
dust213–8-0.0613%25 Sept →
nuke5–2-0.0219%25 Sept →
dust213–8-0.0019%25 Sept →
dust21–6-0.0415%25 Sept →
anubis15–15-0.075%25 Sept →
cache13–40.079%25 Sept →
dust212–12-0.0116%22 Sept →
nuke13–70.0013%22 Sept →
dust213–2-0.047%22 Sept →
mirage13–10.039%22 Sept →
mirage13–8-0.036%21 Sept →
inferno8–13-0.0612%20 Sept →
ancient13–2-0.033%20 Sept →
mirage5–13-0.0918%20 Sept →
inferno10–13-0.0615%20 Sept →
mirage6–13-0.0814%19 Sept →
dust213–5-0.0313%19 Sept →
dust211–130.0020%19 Sept →
mirage0–13-0.120%19 Sept →
mirage13–11-0.0320%18 Sept →
mirage13–3-0.0120%18 Sept →
nuke13–50.015%18 Sept →
anubis12–12-0.0313%17 Sept →
mirage5–13-0.076%17 Sept →
nuke13–60.019%17 Sept →
mirage13–0-0.027%17 Sept →
mirage13–6-0.0613%17 Sept →
mirage11–13-0.046%13 Sept →
nuke8–13-0.028%13 Sept →
dust211–13-0.0216%13 Sept →
anubis12–12-0.063%13 Sept →
anubis13–110.068%13 Sept →
mirage13–7-0.0313%13 Sept →
cache7–13-0.058%13 Sept →
mirage11–10.0817%13 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 →

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