RaYGuN_.

RaYGuN_. — CS2 Stats

76561199076559352[U:1:1116293624]Steam profile ↗✓ No bans

261Tracked matches46%Win rate2021Tracked since
1,006Hours in CS37Hrs last 2 wks
CSDB Rating3.6 LearningSupport
Premier CS Rating9,553Light Blue band · top ~57% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 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: 9,553 -3,539 5 Jun – 3 Nov · 18 days played
8,16013,450peak 13,4505 Jun3 Nov
13,640Peak Premier in tracked matches
35Days played since 2026-05-15

Premier CS Rating

  • 3,897 below peak (13,450)
  • +865 over 30 days · improving
  • Next: Blue band at 10,000 — 447 to go
  • Reached: Blue band · Light Blue band

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 Level 4 among CSDB-tracked players (n=14,630), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate35.3%42.7%43.8%8.5% short
Shot accuracy14.4%11.2%12.0%above
Kill/death ratio1.020.991.02meets
Match win rate42.9%43.9%44.7%1.8% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRaYGuN_.FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER9,553 · 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

Aim39
Positioning50
Utility53

0–100 skill scores via Leetify.

Recent form

HOT39–58–3Last 10039%Win rateWWLWWWLWWW

Last 10 vs previous 10: +50pp win rate · −0.04 avg rating · +1.9pp headshot accuracy · +51ms reaction

Win rate up 50pp 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 (−0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 7%
  • Avg reaction 691ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 610ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 585ms

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: Support — Utility contribution stands above the rest of this profile (+1.1 against its own average).

Aim3.9
Utility5.3
Positioning5.0
Opening Duels2.1
Clutch4.4

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

iM

Plays most like iM 69% 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

Reaction time. 591ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim3.9
Positioning5.0
Utility5.3
Mechanics2.5
Opening Duels3.0
Win Impact3.8

Composite 3.6/10 (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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time591ms−60ms
first ⅓ avg 651ms → last ⅓ avg 591ms
Headshot accuracy12.6%−0.4%
first ⅓ avg 13.0% → last ⅓ avg 12.6%

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

0.22Best match rating · 9–1 · overpass, 23 Jun →
27%Best headshot accuracy · 9–1 · overpass, 23 Jun →
391msFastest reaction time · 6–13 · dust2, 2 Nov →
13–0Biggest win · anubis, 2 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
6–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 53% over 15dust2Weakest map · 8% over 12
MapGradePlayedRecordWin rateAvg rating
nukeC2710–1737%-0.01
infernoB158–753%-0.02
anubisB136–746%-0.04
dust2D121–118%-0.03
ancientC94–544%-0.06
mirageC94–544%-0.04
cacheC83–538%-0.06
overpass—32–167%0.07
vertigo—21–150%-0.09
office—10–10%-0.08
shelter—10–10%0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,587Lifetime kills
1.02K/D · Top 50% of Level 4 players
1,382Matches
42.9%Match win rate
35.3%Headshot %
14.4%Shot accuracy · Top 50% of Level 4 players
3,470MVPs
387Hours (in match)
845Bombs planted
223Bombs defused

Most-used weapons

Lifetime map wins

2,452nuke
1,004inferno
778train
611dust2
285vertigo
136cbble
132lake
47office

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

Faceit stats

Combat

72Matches
51%Win rate
0.92Avg K/D
67.9ADR
39%Headshot %

Clutches & streaks

42%1v1 clutch win
18%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke2352%1.0112.5
Mirage1436%0.9115.7
Anubis875%1.0013.5
Ancient862%0.8312.6
Cache743%0.6911.0
Inferno757%1.0415.4
Overpass333%0.6011.0
Dust2250%0.9515.0

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.

12.2%Headshot accuracy
29.7%Accuracy (enemy spotted)
29.1%Spray accuracy
61.4%Counter-strafing
8.1°Preaim
591msReaction time
40.0%T opening success
43.9%CT opening success
0.52Enemies flashed / flash
3.4%Flash assists
8.59HE damage / grenade
8.49Flashes / 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 12.1676% — below the 15% mark we flag

    Aim Training →
  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 39.9682% — below the 40% mark we flag

Spend your practice time on Dust 2

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

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–9-0.085%3 Nov →
nuke10–0-0.009%3 Nov →
anubis6–13-0.029%3 Nov →
cache13–8-0.080%3 Nov →
ancient13–8-0.0510%3 Nov →
anubis13–11-0.0619%3 Nov →
cache6–13-0.1012%3 Nov →
anubis13–6-0.0116%2 Nov →
anubis13–0-0.0324%2 Nov →
inferno13–10-0.0714%2 Nov →
nuke13–110.017%2 Nov →
dust26–13-0.0511%2 Nov →
nuke13–60.1310%2 Nov →
anubis13–90.0120%1 Nov →
nuke7–13-0.0113%26 Oct →
mirage15–15-0.055%26 Oct →
mirage9–13-0.062%19 Oct →
nuke10–13-0.046%15 Oct →
dust27–130.0212%15 Oct →
inferno7–13-0.0312%12 Oct →
mirage8–130.0113%11 Oct →
ancient3–13-0.0327%11 Oct →
nuke3–130.017%11 Oct →
anubis16–140.0116%9 Oct →
dust23–13-0.0414%9 Oct →
dust211–13-0.0212%9 Oct →
cache13–16-0.0716%9 Oct →
mirage13–5-0.0212%6 Oct →
cache5–13-0.0525%6 Oct →
anubis15–15-0.0013%6 Oct →
nuke13–5-0.0413%6 Oct →
inferno3–13-0.0516%6 Oct →
ancient3–13-0.1614%4 Oct →
mirage13–6-0.0517%4 Oct →
anubis7–13-0.0618%4 Oct →
nuke3–13-0.0612%4 Oct →
dust27–13-0.0923%4 Oct →
anubis6–13-0.072%4 Oct →
inferno9–50.0125%4 Oct →
inferno8–13-0.0415%1 Oct →
dust210–13-0.0425%1 Oct →
nuke3–13-0.098%1 Oct →
anubis7–13-0.0012%1 Oct →
cache6–13-0.036%1 Oct →
inferno13–3-0.0612%30 Sept →
ancient9–13-0.0421%30 Sept →
dust27–13-0.0519%30 Sept →
nuke7–13-0.0112%29 Sept →
dust29–13-0.0113%29 Sept →
dust213–80.0127%29 Sept →
anubis4–13-0.116%13 Sept →
cache13–11-0.0218%13 Sept →
nuke2–13-0.0811%13 Sept →
dust212–16-0.0422%12 Sept →
inferno13–5-0.013%10 Sept →
vertigo13–7-0.056%8 Sept →
nuke8–130.0410%8 Sept →
dust26–13-0.0216%8 Sept →
nuke9–2-0.0218%8 Sept →
nuke13–90.0912%7 Sept →
office4–13-0.0820%4 Sept →
ancient4–13-0.1118%4 Sept →
nuke9–40.0213%4 Sept →
shelter10–130.0722%30 Aug →
nuke9–3-0.088%5 Jul →
nuke13–160.1215%29 Jun →
mirage4–13-0.059%28 Jun →
dust28–13-0.0724%25 Jun →
inferno15–15-0.079%23 Jun →
overpass9–10.2227%23 Jun →
nuke8–13-0.0715%23 Jun →
inferno10–13-0.0011%23 Jun →
ancient13–8-0.078%22 Jun →
ancient13–5-0.0112%22 Jun →
mirage16–13-0.0212%22 Jun →
nuke6–13-0.0714%22 Jun →
nuke2–130.0110%21 Jun →
inferno6–130.020%21 Jun →
nuke13–40.037%21 Jun →
mirage13–9-0.0614%14 Jun →
mirage11–13-0.0415%14 Jun →
overpass13–20.0510%13 Jun →
nuke3–13-0.0113%13 Jun →
inferno14–16-0.0712%13 Jun →
anubis13–11-0.0617%13 Jun →
nuke7–13-0.1014%13 Jun →
nuke11–13-0.066%12 Jun →
nuke5–9-0.0521%12 Jun →
inferno13–3-0.0610%11 Jun →
anubis10–13-0.0912%6 Jun →
cache9–13-0.026%5 Jun →
nuke13–100.0110%5 Jun →
vertigo5–13-0.133%5 Jun →
inferno13–30.1019%5 Jun →
ancient13–20.0011%5 Jun →
ancient5–13-0.0824%15 May →
inferno13–50.0820%15 May →
cache13–11-0.0715%15 May →
nuke11–13-0.0610%15 May →
overpass4–13-0.0719%15 May →

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 →

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