flaming yong

flaming yong — CS2 Stats

LR76561198195927502[U:1:235661774]Steam profile ↗✓ No bans

301Tracked matches72%Win rate2021Tracked since
785Hours in CS
CSDB Rating7.1 StrongPositional Player
Premier CS Rating15,008Purple band · top ~28.4% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (62 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 301 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,008 +9 20 Jul – 13 Sept · 4 days played
14,99915,008peak 15,00820 Jul13 Sept
15,124Peak Premier in tracked matches
48Days played since 2025-01-26

Premier CS Rating

  • At peak — 15,008
  • Next: Pink band at 20,000 — 4,992 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-07
  • Blue band first seen 2026-09-07

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 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 rate45.4%44.4%46.9%1.5% short
Shot accuracy21.4%11.9%13.0%above
Kill/death ratio1.201.031.08above
Match win rate40.5%45.2%46.7%6.2% 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.

Share this profile

CSDB.GGflaming yongPREMIER15,008 · Purple bandcsdb.gg/stats

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Performance scores

Aim76
Positioning63
Utility61

0–100 skill scores via Leetify.

Recent form

HOT42–47–11Last 10042%Win rateWWWWWLWWWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · −5.1pp headshot accuracy · −132ms reaction

Win rate up 40pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 550ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 537ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 603ms

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 (+1.5 against its own average).

Aim7.6
Utility6.1
Positioning6.3
Opening Duels3.6
Clutch3.4

Excellent counter-strafingStrong CT-side openerEffective flashes

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

Twistzz

Plays most like Twistzz 90% playstyle similarity

Most alike: positioning profile, utility contribution.

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 53% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms 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

Aim7.6
Positioning6.3
Utility6.1
Mechanics8.5
Opening Duels3.5
Win Impact10.0

Composite 7.1/10 (Strong), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time629ms−1ms
first ⅓ avg 630ms → last ⅓ avg 629ms
Headshot accuracy19.5%+1.7%
first ⅓ avg 17.8% → last ⅓ avg 19.5%

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

0.24Best match rating · 7–9 · nuke, 12 Jan →
50%Best headshot accuracy · 2–5 · train, 27 Jan →
375msFastest reaction time · 9–2 · inferno, 1 Jun →
13–2Biggest win · vertigo, 22 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W5Current streak
5–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 63% over 8nukeWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C2511–1444%0.01
mirageB178–947%-0.00
vertigoA116–555%0.05
nukeD112–918%-0.00
overpassD92–722%0.04
infernoA85–363%0.03
anubisA53–260%-0.01
ancientD51–420%-0.02
cache—43–175%-0.02
train—41–325%-0.00
palais—10–10%-0.24

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,635Lifetime kills
1.20K/D · Top 25% of Purple band
2,790Matches
40.5%Match win rate
45.4%Headshot % · Top 50% of Purple band
21.4%Shot accuracy · Top 1% of Purple band
8,430MVPs
785Hours (in match)
1,451Bombs planted
449Bombs defused

Most-used weapons

AK-4714,633
AWP7,480
SSG 082,216
Knife1,070
MP7830
AUG807

Lifetime map wins

2,542cbble
2,048dust2
1,646inferno
1,243vertigo
906nuke
726lake
685train
188office

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

Faceit stats

Combat

49Matches
51%Win rate
0.97Avg K/D
74.2ADR
47%Headshot %

Clutches & streaks

37%1v1 clutch win
13%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21060%0.9816.4
Mirage650%0.8212.5
Ancient450%1.4915.8
Cache450%0.8814.3
Anubis475%1.1618.5
Nuke20%0.385.5
Inferno1100%1.2316.0
Vertigo1100%2.1217.0

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.

18.9%Headshot accuracy
33.7%Accuracy (enemy spotted)
38.1%Spray accuracy
88.4%Counter-strafing
8.7°Preaim
616msReaction time
35.0%T opening success
52.7%CT opening success
0.70Enemies flashed / flash
9.6%Flash assists
12.51HE damage / grenade
8.30Flashes / 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

    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 34.984% — below the 40% mark we flag

Spend your practice time on Nuke

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–80.0120%23 Aug →
mirage13–90.0217%23 Aug →
vertigo13–20.066%22 Aug →
mirage13–9-0.0313%21 Aug →
dust213–60.0622%21 Aug →
cache14–16-0.0417%20 Aug →
anubis13–8-0.0012%15 Aug →
dust213–10-0.0226%31 Jul →
cache13–70.0411%30 Jul →
inferno13–9-0.0127%29 Jul →
anubis13–7-0.0520%29 Jul →
dust216–120.0532%29 Jul →
dust210–130.0432%28 Jul →
anubis10–130.0228%28 Jul →
ancient13–20.0724%28 Jul →
cache13–11-0.0220%28 Jul →
ancient8–13-0.0216%28 Jul →
mirage13–16-0.0317%27 Jul →
vertigo8–8-0.0915%27 Jul →
dust213–9-0.0319%27 Jul →
vertigo9–40.1439%27 Jul →
vertigo8–8-0.0629%27 Jul →
nuke9–50.1014%27 Jul →
inferno6–90.0826%27 Jul →
inferno13–6-0.0223%20 Jul →
dust213–3-0.065%20 Jul →
mirage13–3-0.0113%20 Jul →
mirage13–60.0619%20 Jul →
dust213–40.1214%20 Jul →
mirage13–10-0.0518%20 Jul →
dust215–15-0.0325%19 Jul →
inferno13–70.0515%19 Jul →
mirage4–13-0.0510%19 Jul →
anubis7–13-0.037%19 Jul →
ancient4–13-0.0722%19 Jul →
mirage11–130.0219%19 Jul →
mirage10–13-0.0114%19 Jul →
overpass6–90.0413%18 Jul →
nuke6–13-0.0415%18 Jul →
nuke10–13-0.0116%18 Jul →
dust211–130.0428%18 Jul →
overpass5–9-0.0115%18 Jul →
inferno6–9-0.0619%18 Jul →
dust211–13-0.0215%17 Jul →
ancient11–13-0.0213%17 Jul →
cache13–11-0.048%17 Jul →
dust214–160.0120%17 Jul →
inferno13–80.0111%17 Jul →
mirage12–120.1018%15 Jul →
nuke4–13-0.0314%15 Jul →
dust213–3-0.0418%15 Jul →
mirage5–00.079%15 Jul →
dust24–13-0.0118%15 Jul →
mirage7–13-0.0214%10 Jul →
mirage8–13-0.0318%10 Jul →
dust26–13-0.0215%22 Jun →
inferno8–8-0.049%1 Jun →
inferno9–20.2114%1 Jun →
vertigo9–10.2432%1 Jun →
dust213–10-0.0120%31 May →
mirage3–13-0.0513%28 May →
overpass13–80.0512%28 May →
dust27–13-0.0221%22 May →
dust213–3-0.0212%15 Jan →
nuke7–90.2415%12 Jan →
ancient8–13-0.049%23 Oct →
nuke8–8-0.1210%12 Aug →
nuke4–9-0.0929%11 Jul →
mirage13–6-0.0215%17 Jun →
nuke4–9-0.0517%25 May →
nuke9–70.0917%25 May →
vertigo9–50.104%14 May →
dust25–130.0515%4 May →
train7–130.077%2 May →
mirage12–12-0.009%1 May →
overpass5–90.0911%24 Apr →
dust29–13-0.0018%7 Apr →
vertigo8–80.0822%4 Apr →
dust25–130.0115%2 Mar →
dust213–60.0916%1 Mar →
vertigo9–40.1226%26 Feb →
dust210–130.0620%8 Feb →
overpass4–90.0418%7 Feb →
overpass9–70.1118%7 Feb →
dust210–13-0.0420%7 Feb →
vertigo9–60.0524%6 Feb →
dust215–15-0.0127%6 Feb →
dust213–11-0.0020%5 Feb →
nuke9–13-0.0410%4 Feb →
overpass8–80.006%31 Jan →
nuke5–9-0.086%31 Jan →
vertigo8–8-0.0422%30 Jan →
train10–13-0.0511%29 Jan →
mirage13–50.0124%29 Jan →
vertigo3–9-0.0831%27 Jan →
train2–50.0250%27 Jan →
overpass7–90.1110%26 Jan →
overpass5–9-0.0913%26 Jan →
palais0–9-0.2422%26 Jan →
train13–10-0.0315%26 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 →

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