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roblox_user_8584468693

roblox_user_8584468693 — CS2 Stats

US76561199208791400[U:1:1248525672]Steam profile ↗✓ No bans

2,540Tracked matches67%Win rate2021Tracked since
2,457Hours in CS12Hrs last 2 wks
CSDB Rating4.3 DevelopingClutch Specialist
Premier CS Rating12,550Blue band · top ~41.4% of ranked players (population est.)
CSDB Leaderboard#169019 of 257866 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (4 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: 12,550 +6,703 10 Jun – 23 Oct · 27 days played
5,53812,550peak 12,55010 Jun23 Oct
Faceit ELO: 569 +0 1 Sept – 17 Sept · 2 observations
569569peak 5691 Sept17 Sept
12,550Peak Premier in tracked matches
569Highest Faceit ELO seen on CSDB
51Days played since 2026-06-09

Faceit ELO

  • At peak — 569
  • Next: Level 3 at 751 — 182 to go
  • Reached: Level 2
  • Level 2 first seen 2026-09-01

Premier CS Rating

  • At peak — 12,550
  • +2,469 over 30 days · improving
  • +2,089 over 90 days
  • Next: Purple band at 15,000 — 2,450 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 rate54.0%42.0%44.4%above
Shot accuracy8.6%9.6%11.9%3.3% short
Kill/death ratio0.790.981.030.24 short
Match win rate44.2%43.8%45.2%1.0% short

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

Widest gap: Shot accuracy. 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.GGroblox_user_8584468693PREMIER12,550 · Blue bandPEAK ELO569csdb.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

Aim48
Positioning34
Utility14

0–100 skill scores via Leetify.

Recent form

HOT54–43–3Last 10054%Win rateWWWLLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +0.3pp headshot accuracy · −15ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 26%
  • Avg reaction 706ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 28%
  • Avg reaction 681ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 28%
  • Avg reaction 688ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2 against its own average).

Aim4.8
Utility1.4
Positioning3.4
Opening Duels0.0
Clutch4.2

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

iM

Plays most like iM 91% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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. 710ms 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

Aim4.8
Positioning3.4
Utility1.4
Mechanics7.7
Opening Duels0.5
Win Impact10.0

Composite 4.3/10 (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 rating-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time719ms−32ms
first ⅓ avg 751ms → last ⅓ avg 719ms
Headshot accuracy26.1%+3.8%
first ⅓ avg 22.3% → last ⅓ avg 26.1%

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 · 7–1 · ancient, 18 Jul →
56%Best headshot accuracy · 13–2 · nuke, 16 Oct →
461msFastest reaction time · 13–9 · inferno, 12 Sept →
13–2Biggest win · nuke, 16 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W3Current streak
4–2In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 77% over 13trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC228–1436%-0.02
infernoA159–660%-0.05
dust2S1310–377%-0.03
anubisA106–460%0.01
nukeS96–367%-0.02
cacheB84–450%-0.01
vertigoB63–350%-0.06
trainD51–420%-0.07
ancientA53–260%0.02
boulder—21–150%-0.04
fachwerk—22–0100%-0.01
shelter—10–10%-0.08
office—11–0100%-0.07
alpine—10–10%-0.05

Across the last 100 tracked matches.

Lifetime stats

42,300Lifetime kills
0.79K/D
2,774Matches
44.2%Match win rate · Top 50% of Blue band
54.0%Headshot % · Top 10% of Blue band
8.6%Shot accuracy
4,909MVPs
1,201Hours (in match)
2,099Bombs planted
416Bombs defused

Most-used weapons

AK-4713,553
M4A4 / M4A1-S8,966
P2000 / USP-S2,267
AWP2,204
Galil AR2,138
Glock-181,885
FAMAS1,870
Desert Eagle1,758
MAC-101,119
Knife770

Lifetime map wins

4,665inferno
3,798vertigo
3,393dust2
2,539nuke
1,175train
211office
23italy
12bank

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

Faceit stats

Combat

1,206Matches
49%Win rate
0.79Avg K/D
67.7ADR
52%Headshot %

Clutches & streaks

41%1v1 clutch win
27%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage10150%0.8712.9
Dust25244%0.8314.4
Ancient4445%0.7311.2
Inferno4229%0.7713.3
Vertigo3647%0.6510.5
Anubis3336%0.8212.1
Nuke2458%0.9315.5
Overpass944%0.8614.0

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.

26.3%Headshot accuracy
27.0%Accuracy (enemy spotted)
29.4%Spray accuracy
84.4%Counter-strafing
12.1°Preaim
710msReaction time
33.7%T opening success
25.2%CT opening success
0.20Enemies flashed / flash
1.2%Flash assists
6.00HE damage / grenade
1.96Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0941° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 710.2953ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.1979 — below the 0.5 mark we flag

    Grenade Lineups →
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
dust213–11-0.0038%23 Oct →
nuke13–6-0.0717%23 Oct →
anubis13–7-0.0612%23 Oct →
train4–13-0.0430%23 Oct →
cache9–13-0.0536%21 Oct →
dust213–8-0.0923%20 Oct →
nuke13–70.0121%20 Oct →
dust216–14-0.0925%20 Oct →
nuke13–8-0.0424%20 Oct →
nuke13–2-0.0256%16 Oct →
boulder13–3-0.0346%16 Oct →
fachwerk13–11-0.0126%15 Oct →
mirage13–10-0.0525%10 Oct →
dust29–13-0.0918%10 Oct →
inferno13–70.0433%6 Oct →
cache5–13-0.1028%6 Oct →
dust213–10-0.0432%6 Oct →
cache13–7-0.0230%1 Oct →
mirage6–13-0.0830%24 Sept →
cache4–13-0.0910%18 Sept →
mirage1–13-0.0723%18 Sept →
dust213–5-0.1017%18 Sept →
inferno5–13-0.1117%18 Sept →
inferno13–9-0.0543%18 Sept →
inferno13–10-0.0713%18 Sept →
inferno13–9-0.0822%12 Sept →
dust213–9-0.0317%12 Sept →
vertigo13–10-0.0830%6 Sept →
cache3–13-0.0329%6 Sept →
mirage8–130.0224%3 Sept →
fachwerk13–8-0.0224%31 Aug →
boulder10–13-0.0429%27 Aug →
anubis11–13-0.0415%27 Aug →
nuke13–10-0.0922%27 Aug →
mirage10–13-0.0917%27 Aug →
nuke9–13-0.0220%27 Aug →
mirage12–12-0.0820%27 Aug →
ancient13–10-0.0615%25 Aug →
mirage5–13-0.0725%23 Aug →
inferno7–13-0.0516%23 Aug →
mirage3–13-0.0415%23 Aug →
mirage12–16-0.0518%20 Aug →
mirage13–8-0.0123%14 Aug →
mirage8–13-0.0426%10 Aug →
anubis13–90.0129%4 Aug →
dust213–40.0233%31 Jul →
nuke13–5-0.0338%29 Jul →
dust26–13-0.0426%25 Jul →
mirage6–13-0.0923%23 Jul →
anubis10–13-0.0325%22 Jul →
mirage9–130.0425%21 Jul →
shelter5–13-0.0816%21 Jul →
train11–13-0.0026%20 Jul →
mirage13–8-0.0533%19 Jul →
ancient15–150.0027%18 Jul →
ancient13–50.0633%18 Jul →
inferno13–40.0842%18 Jul →
ancient7–10.1433%18 Jul →
vertigo10–13-0.0238%17 Jul →
nuke10–13-0.0111%17 Jul →
cache13–60.0535%14 Jul →
anubis13–90.0825%13 Jul →
anubis7–13-0.0021%13 Jul →
cache13–60.1123%13 Jul →
dust213–4-0.0313%13 Jul →
cache13–20.0743%12 Jul →
anubis9–130.0717%12 Jul →
mirage6–130.0419%12 Jul →
mirage13–90.0535%11 Jul →
nuke15–150.0426%11 Jul →
ancient9–13-0.0324%10 Jul →
mirage13–40.0015%10 Jul →
anubis16–130.0334%10 Jul →
dust213–80.0718%10 Jul →
dust216–120.0525%9 Jul →
vertigo13–10-0.0628%8 Jul →
inferno2–13-0.0915%8 Jul →
inferno13–8-0.0829%2 Jul →
inferno7–13-0.0734%29 Jun →
anubis13–90.0629%27 Jun →
office13–9-0.0729%27 Jun →
train13–2-0.0121%27 Jun →
mirage13–9-0.0432%27 Jun →
alpine5–13-0.0522%24 Jun →
train2–13-0.150%23 Jun →
mirage13–80.0026%22 Jun →
inferno6–13-0.0513%20 Jun →
vertigo13–10-0.0713%20 Jun →
inferno0–13-0.1412%17 Jun →
inferno13–4-0.0233%17 Jun →
dust210–130.0223%17 Jun →
vertigo9–13-0.0728%17 Jun →
vertigo1–13-0.0719%16 Jun →
train0–13-0.140%16 Jun →
mirage6–130.0324%15 Jun →
inferno13–3-0.0410%15 Jun →
mirage8–130.0425%15 Jun →
mirage13–6-0.0022%13 Jun →
anubis13–80.0229%10 Jun →
inferno13–11-0.0327%9 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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