dauu

dauu — CS2 Stats

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

802Tracked matches52%Win rate2020Tracked since
5,418Hours in CS0Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 802
−3.4ppWin rate · 55.2% → 51.7%

Rating over time

Premier CS Rating: 23,658 +5,628 29 Nov – 2 May · 14 days played
18,03024,095peak 24,09529 Nov2 May
24,095Peak Premier in tracked matches
45Days played since 2024-11-28

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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate46.3%50.9%
Shot accuracy19.0%13.7%
Kill/death ratio1.031.09
Match win rate49.3%48.4%

Share this profile

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

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Performance scores

Aim77
Positioning59
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateLTLWLWWLWL

Last 10 vs previous 10: −20pp win rate · −0.08 avg rating · −8.0pp headshot accuracy · +12ms reaction

Win rate down 20pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 508ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 568ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 562ms

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 (+1.2 against its own average).

Aim7.7
Utility4.6
Positioning5.9
Opening Duels3.7

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

jL

Plays most like jL 96% 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. 603ms 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
Utility4.6
Mechanics6.6
Opening Duels3.3
Win Impact5.6

Composite 6.1/10 (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 time601ms+9ms
first ⅓ avg 592ms → last ⅓ avg 601ms
Headshot accuracy19.8%−0.0%
first ⅓ avg 19.8% → last ⅓ avg 19.8%

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 →
398msFastest reaction time · 10–13 · inferno, 3 Oct →
13–0Biggest win · cache, 29 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

trainBest map · 70% over 10dust2Weakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB3417–1750%0.02
infernoD134–931%-0.02
ancientA106–460%0.02
trainS107–370%0.03
nukeC94–544%0.02
cacheS96–367%0.03
dust2D82–625%0.01
anubis—44–0100%-0.01
overpass—21–150%0.02
vertigo—10–10%-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.

Lifetime stats

142,834Lifetime kills
1.03K/D
4,877Matches
49.3%Match win rate · Top 50% of Level 10 players
46.3%Headshot %
19.0%Shot accuracy · Top 10% of Level 10 players
15,919MVPs
2,692Hours (in match)
3,895Bombs planted
1,240Bombs defused

Most-used weapons

AK-4761,489
AWP17,176
P2502,674
FAMAS2,251
Knife2,117

Lifetime map wins

8,185inferno
6,336dust2
4,527train
3,171nuke
1,134cbble
825vertigo
72office
33stmarc

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

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
36.7%Accuracy (enemy spotted)
37.3%Spray accuracy
79.9%Counter-strafing
8.5°Preaim
603msReaction time
40.3%T opening success
46.2%CT opening success
0.54Enemies flashed / flash
4.0%Flash assists
5.51HE damage / grenade
9.55Flashes / match

Recommended for you

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 & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno10–130.0122%3 Oct →
nuke8–80.0020%23 Sept →
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 →

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 →

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