UD

UD — CS2 Stats

MA76561198168458622[U:1:208192894]Steam profile ↗✓ No bans

5,089Tracked matches53%Win rate2020Tracked since
7,669Hours in CS116Hrs last 2 wks
CSDB Rating5.8 SolidSupport
FaceitLevel 9 · 1,810 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,810 → 1,810
+381Tracked matches · now 5,089
+10.0ppWin rate · 43.3% → 53.3%

Rating over time

Faceit ELO: 1,810 +0 2 Sept – 22 Sept · 4 observations
1,8101,810peak 1,8102 Sept22 Sept
1,810Highest Faceit ELO seen on CSDB
55Days played since 2026-08-10

Faceit ELO

  • At peak — 1,810
  • Next: Level 10 at 2,001 — 191 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-02
  • Level 8 first seen 2026-09-02

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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 Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate67.2%48.2%50.9%above
Shot accuracy2.6%13.2%13.7%11.1% short
Kill/death ratio1.261.071.09above
Match win rate46.1%46.9%48.4%2.3% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGUDFACEITLevel 9 · 1,810 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,810csdb.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

Aim77
Positioning57
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateLWWLLLWLWL

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · −4.3pp headshot accuracy · −86ms reaction

Win rate down 30pp 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 527ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 485ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 527ms

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 (+1.6 against its own average).

Aim7.7
Utility6.3
Positioning5.7
Opening Duels2.9
Clutch3.8

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

ZywOo

Plays most like ZywOo 89% 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 →

CSDB Rating breakdown

Aim7.7
Positioning5.7
Utility6.3
Mechanics5.3
Opening Duels3.1
Win Impact6.1

Composite 5.8/10 (Solid), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time516ms−10ms
first ⅓ avg 526ms → last ⅓ avg 516ms
Headshot accuracy25.1%−4.0%
first ⅓ avg 29.2% → last ⅓ avg 25.1%

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

0.12Best match rating · 13–0 · nuke, 17 Aug →
67%Best headshot accuracy · 0–3 · dust2, 5 Oct →
359msFastest reaction time · 13–11 · inferno, 25 Oct →
13–0Biggest win · nuke, 17 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
14–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 72% over 18dust2Weakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
anubisB2614–1254%0.01
dust2C197–1237%0.00
infernoC187–1139%-0.02
ancientS1813–572%0.01
nukeC104–640%0.02
cacheA74–357%-0.02
mirage—21–150%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

182,752Lifetime kills
1.26K/D · Top 25% of Level 9 players
6,886Matches
46.1%Match win rate
67.2%Headshot % · Top 5% of Level 9 players
2.6%Shot accuracy
16,083MVPs
3,097Hours (in match)
6,952Bombs planted
1,760Bombs defused

Most-used weapons

AK-4792,966
FAMAS7,722
MAC-105,335
Knife4,632
AWP3,047

Lifetime map wins

16,636dust2
14,066inferno
7,548nuke
2,230train
2,004vertigo
250office
22safehouse
17cbble

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

Faceit stats

Combat

5,353Matches
49%Win rate
1.02Avg K/D
81.5ADR
60%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2127449%1.0216.0
Inferno94749%1.0515.8
Ancient87750%1.0416.5
Anubis64747%0.9815.2
Nuke50953%1.0516.1
Mirage41147%0.9715.0
Train13451%1.1015.7
Cache13051%0.9415.1

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.

25.3%Headshot accuracy
33.0%Accuracy (enemy spotted)
38.2%Spray accuracy
73.8%Counter-strafing
10.3°Preaim
518msReaction time
37.7%T opening success
47.0%CT opening success
0.60Enemies flashed / flash
6.8%Flash assists
8.16HE damage / grenade
15.37Flashes / 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 37.695% — 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.

37% win rate across 19 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
inferno11–130.0324%3 Nov →
anubis13–70.0731%2 Nov →
ancient13–110.0322%1 Nov →
dust210–130.0320%1 Nov →
anubis10–130.0433%31 Oct →
dust211–130.0539%29 Oct →
dust213–9-0.0311%29 Oct →
anubis7–13-0.0413%27 Oct →
inferno13–11-0.0817%25 Oct →
anubis5–13-0.0125%24 Oct →
mirage13–110.0438%22 Oct →
anubis8–13-0.0317%20 Oct →
nuke13–7-0.0624%20 Oct →
inferno13–30.0543%19 Oct →
anubis11–130.0019%19 Oct →
cache13–70.0338%18 Oct →
nuke9–13-0.0033%17 Oct →
inferno13–11-0.0015%16 Oct →
inferno13–80.0224%15 Oct →
ancient16–14-0.0026%15 Oct →
inferno13–6-0.0122%14 Oct →
ancient13–30.0237%14 Oct →
ancient4–13-0.0533%13 Oct →
ancient11–13-0.0426%12 Oct →
dust26–13-0.0131%12 Oct →
inferno3–13-0.126%12 Oct →
anubis10–13-0.0130%12 Oct →
dust213–90.0321%11 Oct →
anubis13–90.0931%10 Oct →
ancient13–70.0614%8 Oct →
ancient13–80.0724%8 Oct →
inferno13–30.0026%7 Oct →
dust24–13-0.0318%7 Oct →
dust20–3-0.0567%5 Oct →
ancient13–11-0.0524%3 Oct →
dust213–100.0523%3 Oct →
anubis13–110.0421%2 Oct →
ancient16–120.0113%29 Sept →
dust213–110.0019%28 Sept →
dust25–130.0110%28 Sept →
anubis7–13-0.0721%27 Sept →
anubis2–13-0.0430%27 Sept →
ancient13–11-0.0021%27 Sept →
cache1–13-0.0339%18 Sept →
ancient6–13-0.0526%13 Sept →
inferno12–16-0.0323%13 Sept →
ancient16–120.0224%11 Sept →
nuke7–13-0.0235%8 Sept →
inferno8–13-0.0315%8 Sept →
anubis13–80.0233%7 Sept →
ancient13–30.0622%7 Sept →
dust27–13-0.0233%5 Sept →
inferno7–13-0.0522%5 Sept →
dust213–100.0733%5 Sept →
mirage7–130.0113%4 Sept →
nuke10–13-0.0121%3 Sept →
anubis11–130.0325%2 Sept →
dust212–16-0.0328%1 Sept →
anubis13–80.0136%31 Aug →
anubis6–13-0.0033%31 Aug →
inferno11–13-0.0416%30 Aug →
cache7–13-0.0721%30 Aug →
ancient17–190.0527%29 Aug →
anubis13–60.1024%29 Aug →
dust26–13-0.0420%28 Aug →
cache8–13-0.0816%28 Aug →
anubis10–130.0225%28 Aug →
cache13–11-0.0232%27 Aug →
anubis13–60.0722%27 Aug →
inferno6–13-0.0329%27 Aug →
anubis13–40.0533%27 Aug →
inferno20–220.0017%27 Aug →
cache16–130.0528%27 Aug →
ancient10–13-0.0631%26 Aug →
anubis13–6-0.0429%26 Aug →
inferno9–13-0.0630%26 Aug →
ancient13–100.0334%25 Aug →
inferno12–16-0.0619%23 Aug →
cache13–11-0.0031%23 Aug →
nuke5–13-0.0438%22 Aug →
inferno13–160.0239%21 Aug →
anubis16–140.0330%21 Aug →
dust29–13-0.0435%21 Aug →
ancient13–20.0234%21 Aug →
anubis13–90.0326%20 Aug →
dust213–70.0119%20 Aug →
nuke13–00.1241%17 Aug →
anubis13–50.0629%17 Aug →
nuke10–130.0123%17 Aug →
anubis19–170.0222%14 Aug →
dust22–130.0323%13 Aug →
nuke8–130.0734%13 Aug →
dust213–70.1237%13 Aug →
dust26–13-0.0432%13 Aug →
nuke13–100.0727%12 Aug →
anubis13–10-0.0624%11 Aug →
ancient13–110.0828%11 Aug →
inferno13–100.0229%11 Aug →
nuke13–100.0123%10 Aug →
anubis7–13-0.0134%10 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.