TDI do Aço

TDI do Aço — CS2 Stats

PT76561198000800041[U:1:40534313]Steam profile ↗✓ No bans

1,482Tracked matches45%Win rate2020Tracked since
4,424Hours in CS3Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating21,518Top 50% of 215,248 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#63847 of 261421 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Nov 2026 (5 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: 21,518 -1,445 26 Feb – 8 Nov · 47 days played
21,51824,586peak 24,58626 Feb8 Nov
24,586Peak Premier in tracked matches
58Days played since 2026-02-26

Premier CS Rating

  • 3,068 below peak (24,586)
  • -613 over 30 days · declining
  • Next: Red band at 25,000 — 3,482 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-10-26
  • Purple band first seen 2026-10-26

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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate47.5%46.8%48.2%meets
Shot accuracy14.8%13.0%13.2%above
Kill/death ratio1.101.061.07above
Match win rate26.1%46.3%46.9%20.9% short

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTDI do AçoFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER21,518 · Pink bandcsdb.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

Aim56
Positioning57
Utility54

0–100 skill scores via Leetify.

Recent form

COLD45–52–3Last 10045%Win rateLLLWLWWLLL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −5.4pp headshot accuracy · +8ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 675ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 617ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 613ms

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).

Aim5.6
Utility5.4
Positioning5.7
Opening Duels2.8
Clutch2.4

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

Twistzz

Plays most like Twistzz 78% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 627ms 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

Aim5.6
Positioning5.7
Utility5.4
Mechanics6.3
Opening Duels2.3
Win Impact3.3

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time623ms+12ms
first ⅓ avg 612ms → last ⅓ avg 623ms
Headshot accuracy21.6%−0.7%
first ⅓ avg 22.3% → last ⅓ avg 21.6%

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

0.20Best match rating · 13–5 · inferno, 17 Mar →
50%Best headshot accuracy · 13–7 · inferno, 21 Jul →
438msFastest reaction time · 13–9 · inferno, 24 May →
13–4Biggest win · inferno, 25 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
11–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 62% over 29dust2Weakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2918–1162%0.03
mirageB2512–1348%0.03
ancientD196–1332%0.01
anubisD134–931%0.03
dust2D71–614%-0.03
overpass—32–167%0.04
cache—21–150%0.05
nuke—21–150%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

149,080Lifetime kills
1.10K/D · Top 50% of Level 8 players
14,825Matches
26.1%Match win rate
47.5%Headshot % · Top 50% of Level 8 players
14.8%Shot accuracy · Top 50% of Level 8 players
22,757MVPs
2,787Hours (in match)
8,096Bombs planted
4,496Bombs defused

Most-used weapons

AK-4748,186
AWP14,713
MAC-103,654
MP92,825
FAMAS2,606

Lifetime map wins

14,286inferno
8,104dust2
1,556train
1,510vertigo
1,215nuke
173lake
170cbble
108office

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

Faceit stats

Combat

1,082Matches
51%Win rate
1.14Avg K/D
82.4ADR
45%Headshot %

Clutches & streaks

32%1v1 clutch win
27%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno6062%1.2617.3
Ancient4452%1.1517.6
Mirage4347%1.2016.8
Anubis2148%1.2318.2
Dust22124%0.9515.1
Cache1267%1.3622.2
Overpass633%0.8913.8
Nuke333%0.7812.7

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.

21.9%Headshot accuracy
30.9%Accuracy (enemy spotted)
32.9%Spray accuracy
78.6%Counter-strafing
11.5°Preaim
627msReaction time
39.1%T opening success
39.1%CT opening success
0.62Enemies flashed / flash
7.6%Flash assists
6.29HE damage / grenade
7.05Flashes / 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 39.1185% — 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.

14% win rate across 7 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
inferno6–13-0.0414%8 Nov →
dust210–130.0120%5 Nov →
ancient9–130.0614%5 Nov →
cache13–110.0628%21 Oct →
mirage3–13-0.0123%6 Oct →
ancient13–90.0020%27 Sept →
mirage13–70.0318%26 Aug →
ancient9–130.0225%18 Aug →
dust29–13-0.0613%7 Aug →
inferno2–13-0.0324%5 Aug →
mirage13–90.0223%5 Aug →
inferno13–110.0334%4 Aug →
anubis13–60.0215%3 Aug →
nuke6–130.0622%30 Jul →
inferno13–7-0.0250%21 Jul →
cache6–130.0319%13 Jul →
mirage9–10.028%9 Jul →
mirage7–13-0.0335%9 Jul →
dust29–13-0.0620%29 Jun →
inferno6–13-0.0027%29 Jun →
mirage15–150.0622%28 Jun →
inferno13–4-0.0327%25 Jun →
ancient7–13-0.0116%24 Jun →
ancient13–6-0.0346%24 Jun →
inferno14–16-0.0118%23 Jun →
mirage13–110.0417%23 Jun →
ancient13–70.0422%16 Jun →
anubis6–13-0.079%16 Jun →
mirage13–16-0.0216%15 Jun →
inferno13–9-0.0013%15 Jun →
ancient8–13-0.0218%11 Jun →
inferno13–100.0117%11 Jun →
overpass13–70.1021%3 Jun →
inferno6–130.0531%3 Jun →
dust215–150.0129%1 Jun →
inferno6–13-0.0328%1 Jun →
ancient16–130.0321%1 Jun →
inferno13–9-0.0418%1 Jun →
anubis10–13-0.007%25 May →
mirage13–50.1234%25 May →
inferno13–9-0.0420%24 May →
ancient9–13-0.0320%21 May →
ancient5–13-0.0717%21 May →
nuke13–10-0.0330%18 May →
mirage11–13-0.0614%17 May →
anubis13–70.0018%17 May →
inferno13–90.1518%17 May →
inferno3–130.1130%12 May →
mirage10–13-0.0121%12 May →
inferno13–90.0415%12 May →
dust213–11-0.0126%29 Apr →
ancient8–13-0.0221%28 Apr →
mirage13–11-0.0213%23 Apr →
ancient15–150.0112%8 Apr →
dust29–13-0.0324%7 Apr →
inferno6–130.0417%6 Apr →
ancient3–13-0.0312%6 Apr →
inferno16–130.1021%1 Apr →
ancient11–130.0117%1 Apr →
inferno13–90.0925%26 Mar →
anubis13–100.1223%25 Mar →
mirage13–110.1132%25 Mar →
inferno13–90.1021%25 Mar →
mirage13–90.0819%24 Mar →
mirage8–13-0.0213%23 Mar →
anubis11–130.1417%22 Mar →
anubis11–13-0.0315%22 Mar →
anubis6–130.0736%19 Mar →
mirage5–130.0420%19 Mar →
inferno5–130.0528%19 Mar →
ancient16–140.0725%17 Mar →
inferno13–50.2036%17 Mar →
ancient13–40.0622%17 Mar →
mirage13–100.0736%17 Mar →
mirage11–130.1025%16 Mar →
inferno13–70.0332%16 Mar →
overpass9–13-0.0131%15 Mar →
overpass13–110.0421%15 Mar →
inferno13–90.0816%12 Mar →
ancient8–130.0413%12 Mar →
anubis9–130.0019%12 Mar →
anubis10–130.0423%11 Mar →
mirage16–140.0721%11 Mar →
mirage11–13-0.0215%11 Mar →
mirage13–70.0413%11 Mar →
mirage10–130.0218%9 Mar →
inferno2–13-0.0631%8 Mar →
anubis11–130.0713%8 Mar →
mirage6–130.0619%7 Mar →
ancient2–13-0.048%7 Mar →
anubis8–13-0.0222%6 Mar →
inferno13–160.0325%5 Mar →
ancient10–130.1320%4 Mar →
inferno13–110.0723%4 Mar →
anubis13–80.0516%2 Mar →
mirage13–100.0421%2 Mar →
inferno13–70.0431%2 Mar →
mirage11–130.0317%2 Mar →
dust27–13-0.0520%1 Mar →
inferno13–11-0.0518%26 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 →

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