Xuân Riệu

Xuân Riệu — CS2 Stats

VN76561198146471706[U:1:186205978]Steam profile ↗✓ No bans

773Tracked matches40%Win rate2020Tracked since
2,200Hours in CS53Hrs last 2 wks
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating7,902Light Blue band · top ~64.9% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−260Premier CS Rating · 8,162 → 7,902

Rating over time

Premier CS Rating: 7,902 -3,156 23 Sept – 14 Nov · 21 days played
7,44311,383peak 11,38323 Sept14 Nov
11,833Peak Premier in tracked matches
20Days played since 2026-09-23

Premier CS Rating

  • 3,481 below peak (11,383)
  • -1,583 over 30 days · declining
  • Next: Blue band at 10,000 — 2,098 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-23
  • Light Blue band first seen 2026-09-23

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 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate35.8%41.8%42.7%7.0% short
Shot accuracy10.9%12.2%11.2%0.4% short
Kill/death ratio0.910.980.990.09 short
Match win rate42.0%43.3%43.9%1.9% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGXuân RiệuFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER7,902 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim75
Positioning46
Utility40

0–100 skill scores via Leetify.

Recent form

COLD49–47–4Last 10049%Win rateLWLLWLLLLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +1.6pp headshot accuracy · −20ms reaction

Win rate down 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 608ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 626ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 636ms

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 (+1.6 against its own average).

Aim7.5
Utility4.0
Positioning4.6
Opening Duels0.2
Clutch3.2

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

ropz

Plays most like ropz 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 640ms 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

Aim7.5
Positioning4.6
Utility4.0
Mechanics7.9
Opening Duels0.9
Win Impact1.7

Composite 4.7/10 (Developing), 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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time644ms−32ms
first ⅓ avg 677ms → last ⅓ avg 644ms
Headshot accuracy16.5%+1.2%
first ⅓ avg 15.3% → last ⅓ avg 16.5%

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 · 8–1 · dust2, 27 Oct →
41%Best headshot accuracy · 7–13 · mirage, 14 Nov →
484msFastest reaction time · 11–13 · inferno, 12 Nov →
13–0Biggest win · nuke, 24 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–9In matches decided by ≤2 rounds
15Overtime games

Map breakdown

dust2Best map · 65% over 20cacheWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB2413–1154%-0.00
dust2S2013–765%0.00
infernoC146–843%0.01
cacheD144–1029%-0.01
ancientA106–460%0.01
anubisC104–640%-0.02
nukeC83–538%-0.02

Across the last 100 tracked matches.

Lifetime stats

45,958Lifetime kills
0.91K/D
2,759Matches
42.0%Match win rate
35.8%Headshot %
10.9%Shot accuracy
4,928MVPs
1,339Hours (in match)
2,396Bombs planted
466Bombs defused

Most-used weapons

AK-4711,939
AWP7,374
MP71,933
P901,194

Lifetime map wins

6,915dust2
4,577inferno
1,088nuke
129train
112office
57italy
29assault
23cbble

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

Faceit stats

Combat

258Matches
47%Win rate
0.87Avg K/D
68.6ADR
37%Headshot %

Clutches & streaks

36%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust27745%0.8613.1
Mirage6642%0.8713.2
Ancient3757%0.8412.6
Inferno3247%0.9514.4
Anubis2650%0.8914.0
Nuke1656%0.7310.3
Cache250%1.0314.0
Vertigo10%0.7112.0

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.

17.0%Headshot accuracy
39.0%Accuracy (enemy spotted)
38.9%Spray accuracy
85.5%Counter-strafing
10.1°Preaim
640msReaction time
31.2%T opening success
36.1%CT opening success
0.45Enemies flashed / flash
4.7%Flash assists
9.00HE damage / grenade
4.12Flashes / 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. 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 0.4497 — below the 0.5 mark we flag

    Grenade Lineups →
  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 31.2128% — below the 40% mark we flag

Spend your practice time on Cache

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0631%14 Nov →
inferno13–90.0528%14 Nov →
mirage7–130.0241%14 Nov →
dust24–13-0.018%14 Nov →
mirage13–9-0.0513%13 Nov →
mirage8–13-0.029%12 Nov →
inferno11–130.0420%12 Nov →
nuke11–130.0112%12 Nov →
cache7–13-0.0113%12 Nov →
inferno13–16-0.0111%11 Nov →
dust211–13-0.0717%11 Nov →
inferno9–130.0822%11 Nov →
anubis9–13-0.0011%10 Nov →
mirage13–90.0213%10 Nov →
anubis8–13-0.0221%10 Nov →
dust212–16-0.036%10 Nov →
anubis13–70.0410%10 Nov →
dust213–50.0227%9 Nov →
cache13–4-0.0115%7 Nov →
inferno13–60.0626%7 Nov →
mirage13–30.0219%7 Nov →
cache11–13-0.048%7 Nov →
dust213–50.0814%6 Nov →
mirage4–13-0.056%6 Nov →
inferno13–50.0418%6 Nov →
mirage1–13-0.0211%6 Nov →
mirage3–13-0.0335%6 Nov →
dust213–11-0.0117%6 Nov →
mirage1–13-0.098%6 Nov →
mirage13–80.0628%5 Nov →
anubis16–12-0.005%1 Nov →
inferno9–13-0.049%1 Nov →
mirage6–13-0.0715%1 Nov →
ancient13–160.008%1 Nov →
cache11–13-0.073%1 Nov →
ancient13–100.0114%1 Nov →
anubis13–16-0.0612%31 Oct →
mirage13–80.0617%31 Oct →
dust213–7-0.0112%31 Oct →
anubis8–13-0.049%31 Oct →
cache13–160.0212%31 Oct →
nuke13–5-0.0411%31 Oct →
mirage8–13-0.0913%30 Oct →
dust216–13-0.038%30 Oct →
dust28–13-0.066%30 Oct →
mirage4–13-0.0134%30 Oct →
mirage13–20.1010%30 Oct →
cache13–10.095%30 Oct →
nuke15–15-0.0618%30 Oct →
mirage13–30.0614%30 Oct →
mirage16–14-0.036%30 Oct →
ancient13–60.0314%30 Oct →
inferno14–16-0.0415%29 Oct →
mirage13–8-0.0312%29 Oct →
dust213–80.0520%29 Oct →
ancient13–4-0.0219%29 Oct →
mirage13–100.0410%29 Oct →
mirage13–90.0526%29 Oct →
cache15–150.0116%28 Oct →
mirage11–130.0019%28 Oct →
ancient13–80.0725%28 Oct →
nuke13–7-0.0114%28 Oct →
nuke10–13-0.049%28 Oct →
mirage9–4-0.019%28 Oct →
cache13–30.0221%27 Oct →
nuke9–13-0.0217%27 Oct →
dust213–10-0.0222%27 Oct →
anubis9–13-0.0425%27 Oct →
dust28–10.1416%27 Oct →
ancient10–130.0121%27 Oct →
nuke9–130.0817%26 Oct →
inferno13–10-0.0222%26 Oct →
cache10–13-0.0214%26 Oct →
mirage13–110.0013%26 Oct →
ancient15–15-0.0311%26 Oct →
dust26–13-0.024%26 Oct →
mirage10–13-0.0228%26 Oct →
dust213–40.0317%25 Oct →
dust213–30.0416%25 Oct →
cache6–11-0.0132%25 Oct →
anubis13–6-0.014%25 Oct →
dust213–7-0.0411%24 Oct →
ancient13–100.0010%24 Oct →
inferno9–130.0116%24 Oct →
anubis13–11-0.016%24 Oct →
ancient13–50.088%24 Oct →
nuke13–0-0.077%24 Oct →
cache13–110.019%24 Oct →
cache9–13-0.0314%23 Oct →
cache8–13-0.0410%23 Oct →
anubis8–13-0.0215%23 Oct →
cache11–13-0.0210%23 Oct →
dust26–130.0125%23 Oct →
inferno15–15-0.0316%23 Oct →
dust213–90.0122%23 Oct →
inferno3–13-0.0424%23 Oct →
inferno13–7-0.0411%22 Oct →
inferno16–140.0114%22 Oct →
dust213–20.0519%22 Oct →
dust214–16-0.0420%22 Oct →

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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