dutra

dutra — CS2 Stats

76561198826940795[U:1:866675067]Steam profile ↗✓ No bans

3,244Tracked matches70%Win rate2020Tracked since
CSDB Rating7.0 StrongPositional Player
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,381 → 2,381
+27Tracked matches · now 3,244
+10.0ppWin rate · 60.0% → 70.0%

Rating over time

Faceit ELO: 2,381 +0 30 Aug – 2 Sept · 3 observations
2,3812,381peak 2,38130 Aug2 Sept
2,381Highest Faceit ELO seen on CSDB
51Days played since 2026-03-17

Faceit ELO

  • At peak — 2,381
  • Next: 2,500 ELO at 2,500 — 119 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-30
  • Level 9 first seen 2026-08-30

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.

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CSDB.GGdutraPEAK ELO2,381csdb.gg/stats

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Performance scores

Aim81
Positioning66
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY61–38–1Last 10061%Win rateWLWWWLWLWW

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −2.5pp headshot accuracy · −93ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 528ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 530ms

Last 20

  • 16–4 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 28%
  • Avg reaction 576ms

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).

Aim8.1
Utility5.9
Positioning6.6
Opening Duels4.4
Clutch3.0

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

NiKo

Plays most like NiKo 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Reaction time. 578ms 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

Aim8.1
Positioning6.6
Utility5.9
Mechanics6.6
Opening Duels3.9
Win Impact10.0

Composite 7.0/10 (Strong), 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 rating0.03+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time595ms−50ms
first ⅓ avg 645ms → last ⅓ avg 595ms
Headshot accuracy27.3%−1.2%
first ⅓ avg 28.4% → last ⅓ avg 27.3%

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

0.21Best match rating · 13–3 · mirage, 10 Aug →
54%Best headshot accuracy · 13–7 · mirage, 22 Mar →
359msFastest reaction time · 1–13 · dust2, 22 May →
13–1Biggest win · dust2, 27 May →

Across the last 100 tracked matches.

Highlights

9Longest win streak
11–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 69% over 35anubisWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageS3524–1169%0.03
dust2B3015–1550%0.02
ancientS1510–567%0.02
anubisC73–443%-0.00
nukeA53–260%0.01
inferno—33–0100%0.04
vertigo—21–150%0.06
cache—21–150%-0.05
overpass—11–0100%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,631Matches
56%Win rate
1.05Avg K/D
72.1ADR
56%Headshot %

Clutches & streaks

35%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage97856%1.0414.4
Dust228056%1.0114.6
Anubis27751%1.0514.8
Ancient19857%1.0014.4
Nuke8348%0.9914.9
Vertigo5157%1.0114.3
Inferno3757%1.1014.2
Train1844%0.9515.3

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.

27.0%Headshot accuracy
36.0%Accuracy (enemy spotted)
34.9%Spray accuracy
79.6%Counter-strafing
9.6°Preaim
578msReaction time
40.1%T opening success
51.3%CT opening success
0.58Enemies flashed / flash
12.9%Flash assists
5.80HE damage / grenade
11.21Flashes / match

Recommended for you

Spend your practice time on Anubis

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–6-0.0232%30 Sept →
dust24–130.0626%30 Sept →
dust213–100.0429%27 Sept →
mirage13–90.0026%24 Sept →
ancient13–90.0023%16 Sept →
dust210–130.0124%16 Sept →
mirage13–30.0624%15 Sept →
ancient13–160.0636%15 Sept →
mirage13–50.0224%12 Sept →
dust213–70.0023%4 Sept →
mirage2–130.0429%25 Aug →
mirage13–60.0627%24 Aug →
mirage13–70.0319%24 Aug →
mirage13–90.0629%14 Aug →
nuke13–7-0.0129%14 Aug →
dust213–30.1326%13 Aug →
inferno9–20.0131%13 Aug →
inferno19–170.0342%11 Aug →
mirage13–30.2126%10 Aug →
dust213–30.1135%10 Aug →
dust211–130.0730%10 Aug →
mirage3–90.0819%10 Aug →
nuke13–70.0629%10 Aug →
anubis10–13-0.0421%8 Aug →
vertigo11–130.0220%6 Aug →
cache13–10-0.0727%5 Aug →
inferno13–30.0732%5 Aug →
dust213–5-0.0234%3 Aug →
ancient16–120.0722%1 Aug →
mirage13–110.0226%23 Jul →
dust221–25-0.0018%19 Jul →
anubis11–13-0.0226%19 Jul →
anubis9–13-0.0532%12 Jul →
dust27–13-0.0429%16 Jun →
dust213–70.0927%14 Jun →
mirage13–40.0627%13 Jun →
dust27–13-0.0336%13 Jun →
mirage9–13-0.0315%4 Jun →
mirage16–130.0742%4 Jun →
dust27–130.0227%4 Jun →
mirage13–70.1323%3 Jun →
dust213–100.1142%3 Jun →
overpass13–110.0137%2 Jun →
nuke19–22-0.0123%2 Jun →
mirage17–19-0.0024%30 May →
nuke13–100.0230%30 May →
dust213–1-0.0033%27 May →
dust22–13-0.0531%27 May →
dust213–60.1021%27 May →
ancient13–80.0239%27 May →
dust213–9-0.0340%27 May →
mirage13–110.0538%27 May →
ancient13–20.0623%27 May →
ancient8–13-0.0423%27 May →
dust213–80.0537%27 May →
dust29–13-0.0431%27 May →
mirage16–14-0.0132%26 May →
mirage13–160.0727%26 May →
mirage13–11-0.0135%25 May →
dust213–5-0.0126%22 May →
dust21–13-0.067%22 May →
dust213–2-0.0323%12 May →
cache6–13-0.0341%12 May →
dust26–13-0.0428%12 May →
mirage19–170.1332%11 May →
mirage13–90.0238%8 May →
ancient8–130.0920%19 Apr →
ancient13–110.0923%19 Apr →
mirage7–130.0027%19 Apr →
dust27–130.0224%14 Apr →
mirage10–13-0.0619%14 Apr →
ancient13–110.0341%12 Apr →
ancient13–50.0213%12 Apr →
mirage13–100.0622%12 Apr →
ancient7–13-0.0924%9 Apr →
dust25–130.0133%9 Apr →
vertigo13–100.1143%7 Apr →
ancient13–3-0.0550%6 Apr →
anubis16–120.0121%6 Apr →
mirage13–11-0.0321%5 Apr →
nuke8–13-0.0144%5 Apr →
mirage13–50.0430%5 Apr →
mirage9–13-0.0135%5 Apr →
mirage4–13-0.0928%5 Apr →
mirage8–130.0024%4 Apr →
ancient12–16-0.0424%4 Apr →
dust213–40.0011%4 Apr →
mirage12–120.0528%2 Apr →
anubis10–130.0222%28 Mar →
dust211–130.0432%28 Mar →
anubis13–30.0419%24 Mar →
mirage16–12-0.0134%23 Mar →
mirage13–5-0.0416%23 Mar →
mirage13–7-0.0254%22 Mar →
mirage13–7-0.0336%20 Mar →
anubis13–20.0237%20 Mar →
mirage19–15-0.0217%18 Mar →
dust211–130.0843%18 Mar →
ancient13–110.0719%18 Mar →
dust213–70.0424%17 Mar →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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