dauu

dauu — CS2 Stats

76561198202744432[U:1:242478704]Steam profile ↗✓ No bans

800Tracked matches55%Win rate2020Tracked since
CSDB Rating6.2 SolidPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 800 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 44 days played since 14 Nov 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 23,658 +5,628 29 Nov2 May · 14 days played
18,03024,095peak 24,09529 Nov2 May
24,095Peak Premier in tracked matches
44Days played since 2024-11-14

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGdauuFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim77
Positioning59
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY53434Last 10053%Win rateLWLWWLWLLW

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · −1.0pp headshot accuracy · −20ms 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

  • 32 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 612ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 575ms

Last 20

  • 1181 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 585ms

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 PlayerPositioning stands above the rest of this profile (+1 against its own average).

Aim7.7
Utility4.5
Positioning5.9
Opening Duels4.2

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 94% 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

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. 608ms 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

Aim7.7
Positioning5.9
Utility4.5
Mechanics6.8
Opening Duels3.3
Win Impact6.7

Composite 6.2/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time620ms+18ms
first ⅓ avg 602ms → last ⅓ avg 620ms
Headshot accuracy19.1%−0.8%
first ⅓ avg 19.9% → last ⅓ avg 19.1%

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

0.16Best match rating · 13–0 · cache, 29 Apr
45%Best headshot accuracy · 13–0 · cache, 29 Apr
406msFastest reaction time · 13–0 · cache, 29 Apr
13–0Biggest win · cache, 29 Apr

Across the last 100 tracked matches.

Highlights

4Longest win streak
67In matches decided by ≤2 rounds
11Overtime games

Map breakdown

trainBest map · 75% over 12dust2Weakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB34171750%0.02
infernoD124833%-0.02
trainS129375%0.03
ancientA106460%0.02
cacheS96367%0.03
dust2D82625%0.01
nukeB84450%0.02
anubis440100%-0.01
overpass21150%0.02
vertigo1010%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.7%Headshot accuracy
36.9%Accuracy (enemy spotted)
37.3%Spray accuracy
80.6%Counter-strafing
8.4°Preaim
608msReaction time
38.4%T opening success
48.0%CT opening success
0.55Enemies flashed / flash
4.0%Flash assists
5.16HE damage / grenade
9.55Flashes / 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 38.3752% — 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.

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

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0014%23 Jun
mirage13–100.0117%14 May
ancient0–13-0.0917%14 May
mirage13–40.057%14 May
cache13–80.0221%14 May
cache5–13-0.0925%6 May
cache13–80.0315%6 May
cache11–13-0.1010%4 May
cache9–130.0234%4 May
cache13–100.1042%29 Apr
cache13–00.1645%29 Apr
cache13–50.0220%29 Apr
cache13–30.1218%29 Apr
mirage15–150.0132%28 Apr
mirage5–130.1118%26 Apr
mirage13–8-0.0113%17 Apr
mirage13–90.0313%1 Apr
dust29–130.0511%6 Mar
mirage10–13-0.0114%27 Dec
overpass13–80.0226%27 Dec
inferno16–120.0621%27 Dec
dust214–16-0.0015%24 Dec
mirage13–30.0420%21 Dec
overpass3–130.0224%21 Dec
mirage13–100.0619%21 Dec
dust211–13-0.0116%28 Nov
mirage3–13-0.0522%17 Nov
inferno9–70.0714%19 Oct
train2–7-0.0511%29 Aug
mirage13–60.1115%21 Aug
dust213–90.0620%20 Aug
train16–130.1012%10 Aug
inferno6–9-0.059%10 May
mirage15–150.0111%2 May
mirage13–8-0.044%2 May
nuke13–40.0619%2 May
inferno5–9-0.0817%20 Apr
nuke7–13-0.0126%16 Apr
mirage13–100.0113%16 Apr
mirage6–130.0634%15 Apr
mirage10–13-0.0212%15 Apr
nuke4–13-0.0111%15 Apr
mirage8–130.018%3 Apr
ancient7–130.0112%3 Apr
inferno16–140.0216%2 Apr
anubis13–60.0121%2 Apr
ancient13–70.017%2 Apr
anubis13–3-0.007%2 Apr
mirage3–13-0.0230%1 Apr
train13–11-0.0418%1 Apr
inferno14–16-0.0219%14 Mar
inferno5–13-0.0421%14 Mar
mirage13–70.0912%10 Mar
mirage13–6-0.0220%10 Mar
ancient13–60.088%10 Mar
train9–0-0.0113%6 Feb
ancient9–130.0215%5 Feb
mirage13–70.0418%5 Feb
dust210–13-0.006%1 Feb
train13–4-0.026%1 Feb
inferno13–16-0.0418%1 Feb
mirage5–13-0.0018%31 Jan
dust213–110.0319%31 Jan
train13–40.1415%31 Jan
mirage13–20.0015%25 Jan
train7–13-0.0222%25 Jan
mirage5–13-0.0413%25 Jan
train13–20.0923%25 Jan
inferno8–13-0.0217%24 Jan
nuke13–110.0315%24 Jan
inferno2–13-0.1316%24 Jan
mirage13–50.0235%24 Jan
anubis13–10-0.0113%24 Jan
nuke1–8-0.0614%18 Jan
mirage13–40.0221%18 Jan
nuke13–70.0418%18 Jan
mirage11–13-0.0315%18 Jan
inferno15–15-0.058%18 Jan
ancient13–60.0510%18 Jan
mirage12–160.0317%18 Jan
ancient13–80.007%17 Jan
dust25–130.0325%17 Jan
anubis16–13-0.0311%17 Jan
mirage13–50.0921%17 Jan
ancient13–80.0416%17 Jan
dust23–13-0.0920%17 Jan
nuke8–130.0516%17 Jan
ancient13–50.1020%17 Jan
ancient5–130.0024%27 Dec
mirage4–13-0.0421%27 Dec
mirage5–130.0138%27 Dec
nuke13–50.0611%27 Dec
mirage13–11-0.0211%23 Dec
train12–12-0.0127%1 Dec
inferno13–70.0144%29 Nov
vertigo2–4-0.0143%28 Nov
train13–30.1015%28 Nov
mirage9–130.0626%28 Nov
train13–40.0220%14 Nov
train13–40.0718%14 Nov

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →