tuan beo

tuan beo — CS2 Stats

76561198317725930[U:1:357460202]Steam profile ↗✓ No bans

1,342Tracked matches61%Win rate2020Tracked since
2,563Hours in CS
CSDB Rating6.4 SolidPositional Player
Premier CS Rating16,386Purple band · top ~22.9% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (19 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: 16,386 -133 20 Mar – 26 Oct · 25 days played
15,59117,736peak 17,73620 Mar26 Oct
18,363Peak Premier in tracked matches
42Days played since 2026-02-05

Premier CS Rating

  • 1,350 below peak (17,736)
  • +795 over 30 days · improving
  • Next: Pink band at 20,000 — 3,614 to go
  • Reached: Purple band · 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 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 rate36.1%44.4%46.9%10.8% short
Shot accuracy16.9%11.9%13.0%above
Kill/death ratio1.131.031.08above
Match win rate45.8%45.2%46.7%meets

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Headshot 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.GGtuan beoPREMIER16,386 · Purple bandcsdb.gg/stats

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Performance scores

Aim76
Positioning70
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateLWLWLWLWLT

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +0.5pp headshot accuracy · +26ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 647ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 619ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 606ms

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 (+2.9 against its own average).

Aim7.6
Utility3.0
Positioning7.0
Opening Duels4.5
Clutch2.0

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

donk

Plays most like donk 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Strengths

T openings. 74% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 74% on T to 50% on CT — first contacts on the defending side are being lost.

Reaction time. 593ms 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
Positioning7.0
Utility3.0
Mechanics4.7
Opening Duels7.5
Win Impact8.6

Composite 6.4/10 (Solid), 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+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time606ms−88ms
first ⅓ avg 694ms → last ⅓ avg 606ms
Headshot accuracy18.0%+1.6%
first ⅓ avg 16.4% → last ⅓ avg 18.0%

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

0.12Best match rating · 1–10 · cache, 15 Oct →
39%Best headshot accuracy · 5–13 · nuke, 11 Apr →
438msFastest reaction time · 15–15 · inferno, 11 Oct →
13–1Biggest win · mirage, 3 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–9In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 75% over 8cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA2817–1161%0.01
dust2B2111–1052%0.01
infernoB179–853%0.01
cacheD82–625%0.01
ancientB84–450%-0.00
anubisS86–275%0.00
nukeD72–529%-0.02
shelter—10–10%0.04
overpass—10–10%-0.01
poseidon—11–0100%-0.01

Across the last 100 tracked matches.

Lifetime stats

100,922Lifetime kills
1.13K/D · Top 50% of Purple band
3,948Matches
45.8%Match win rate · Top 50% of Purple band
36.1%Headshot %
16.9%Shot accuracy · Top 25% of Purple band
10,145MVPs
2,563Hours (in match)
2,878Bombs planted
1,029Bombs defused

Most-used weapons

AK-4721,150
Negev18,146
AWP6,638
SG 5536,618
AUG3,173

Lifetime map wins

8,407inferno
4,961dust2
1,207vertigo
752nuke
616train
383office
381lake
209cbble

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

Faceit stats

Combat

460Matches
54%Win rate
1.33Avg K/D
85.0ADR
42%Headshot %

Clutches & streaks

30%1v1 clutch win
17%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4260%1.1918.6
Inferno2959%1.2616.0
Anubis2450%1.2418.5
Dust21414%0.9417.1
Vertigo1369%1.0415.9
Ancient1242%0.9215.8
Overpass633%1.1114.7
Nuke250%1.1517.0

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.

17.7%Headshot accuracy
37.4%Accuracy (enemy spotted)
43.1%Spray accuracy
71.0%Counter-strafing
7.7°Preaim
593msReaction time
73.6%T opening success
49.9%CT opening success
0.40Enemies flashed / flash
4.9%Flash assists
13.25HE damage / grenade
3.06Flashes / 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 0.4003 — below the 0.5 mark we flag

    Grenade Lineups →
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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0215%26 Oct →
dust213–90.1114%26 Oct →
nuke7–130.0111%26 Oct →
nuke13–7-0.0322%21 Oct →
cache1–100.1229%15 Oct →
inferno13–7-0.0015%13 Oct →
cache11–13-0.0215%13 Oct →
cache13–50.0116%11 Oct →
mirage8–13-0.0623%11 Oct →
inferno15–15-0.0124%11 Oct →
cache11–13-0.0016%11 Oct →
mirage13–90.0223%11 Oct →
ancient10–130.0416%10 Oct →
dust213–60.0721%10 Oct →
anubis13–20.0231%10 Oct →
cache2–70.0217%10 Oct →
ancient13–70.0224%10 Oct →
dust213–9-0.0116%7 Oct →
ancient8–13-0.022%7 Oct →
anubis15–150.0114%7 Oct →
anubis16–14-0.0327%6 Oct →
anubis13–6-0.0313%6 Oct →
dust22–13-0.0718%6 Oct →
mirage9–130.0626%5 Oct →
mirage13–100.0823%3 Oct →
mirage13–10.0718%3 Oct →
anubis16–130.0113%2 Oct →
dust213–90.0719%2 Oct →
anubis13–40.076%2 Oct →
cache13–80.0714%2 Oct →
cache0–6-0.0431%2 Oct →
inferno6–130.0212%2 Oct →
cache12–16-0.0613%27 Sept →
inferno13–80.0220%23 Sept →
dust213–80.0122%23 Sept →
mirage13–80.027%23 Sept →
mirage13–90.0416%23 Sept →
dust28–13-0.0414%23 Sept →
mirage10–130.089%18 Sept →
ancient13–5-0.0314%13 Sept →
dust213–5-0.0114%13 Sept →
mirage13–60.0010%13 Sept →
mirage9–130.0312%12 Sept →
dust20–13-0.0912%12 Sept →
mirage13–110.0223%17 Aug →
inferno13–9-0.0113%15 Aug →
inferno8–13-0.0216%13 Aug →
mirage13–11-0.0620%13 Aug →
mirage11–13-0.0418%12 Aug →
inferno8–130.0415%12 Aug →
shelter8–130.0411%9 Jul →
nuke6–13-0.083%5 Jul →
inferno16–12-0.0412%20 Jun →
anubis3–13-0.0414%13 Jun →
mirage13–11-0.0115%13 Jun →
dust214–16-0.029%30 Apr →
mirage11–130.0014%30 Apr →
mirage11–13-0.0017%27 Apr →
dust25–130.0320%27 Apr →
inferno13–70.0712%22 Apr →
dust211–13-0.0317%22 Apr →
inferno12–16-0.0019%21 Apr →
inferno13–110.0423%21 Apr →
ancient2–13-0.1110%21 Apr →
mirage9–13-0.058%20 Apr →
mirage13–30.0215%20 Apr →
dust216–13-0.0228%20 Apr →
dust213–80.0724%20 Apr →
mirage8–10.0814%20 Apr →
dust215–150.0614%14 Apr →
nuke10–13-0.0113%14 Apr →
dust211–13-0.0316%11 Apr →
mirage5–13-0.0938%11 Apr →
nuke5–13-0.0639%11 Apr →
inferno13–110.0515%11 Apr →
mirage16–140.0117%11 Apr →
mirage11–13-0.0714%11 Apr →
mirage13–90.0321%10 Apr →
inferno10–130.0113%4 Apr →
ancient6–130.0413%4 Apr →
ancient13–40.0111%3 Apr →
mirage13–6-0.0723%3 Apr →
mirage13–6-0.0028%2 Apr →
anubis16–140.0116%20 Mar →
mirage13–80.0519%19 Mar →
inferno13–10-0.0313%16 Mar →
dust213–3-0.056%15 Mar →
dust25–130.0211%15 Mar →
mirage13–40.0125%15 Mar →
mirage15–150.0214%15 Mar →
inferno8–13-0.049%15 Mar →
dust213–80.0613%15 Mar →
dust213–30.0427%1 Mar →
inferno13–50.0419%1 Mar →
overpass15–15-0.017%7 Feb →
inferno13–16-0.0315%7 Feb →
nuke8–13-0.038%7 Feb →
poseidon9–6-0.0114%5 Feb →
ancient13–60.007%5 Feb →
nuke8–10.086%5 Feb →

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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