Taiguinho

Taiguinho — CS2 Stats

BR76561198054594174[U:1:94328446]Steam profile ↗✓ No bans

512Tracked matches52%Win rate2020Tracked since
CSDB Rating5.8 SolidClutch Specialist
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

+33Tracked matches · now 512
−14.7ppWin rate · 66.7% → 52.0%

Rating over time

28Days played since 2026-08-09

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim76
Positioning48
Utility52

0–100 skill scores via Leetify.

Recent form

COLD52–38–10Last 10052%Win rateTWWTLLLWLL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +1.3pp headshot accuracy · −41ms 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

  • 2–1–2 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 544ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 551ms

Last 20

  • 8–8–4 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 571ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.6 against its own average).

Aim7.6
Utility5.2
Positioning4.8
Opening Duels1.6
Clutch6.0

Strong CT-side opener

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 96% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 45% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 584ms 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

Aim7.6
Positioning4.8
Utility5.2
Mechanics6.6
Opening Duels1.9
Win Impact5.7

Composite 5.8/10 (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 0.03 → last ⅓ avg 0.02
Reaction time583ms−21ms
first ⅓ avg 604ms → last ⅓ avg 583ms
Headshot accuracy15.6%+0.7%
first ⅓ avg 14.9% → last ⅓ avg 15.6%

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

0.25Best match rating · 13–2 · dust2, 29 Aug →
36%Best headshot accuracy · 6–13 · dust2, 1 Sept →
469msFastest reaction time · 9–13 · dust2, 4 Oct →
13–1Biggest win · dust2, 29 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 60% over 15ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B3518–1751%0.03
cacheA2212–1055%0.03
infernoA159–660%0.01
ancientD124–833%0.03
mirageC83–538%-0.00
anubis—33–0100%0.10
overpass—21–150%0.04
nuke—21–150%0.06
train—11–0100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

213Matches
39%Win rate
1.22Avg K/D
86.2ADR
38%Headshot %

Clutches & streaks

50%1v1 clutch win
9%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust2978%1.4319.4
Cache786%1.4820.6
Inferno633%1.1615.0
Mirage425%0.8213.8
Anubis250%0.9415.5
Ancient250%0.9013.5
Overpass10%1.1317.0

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.

15.2%Headshot accuracy
36.8%Accuracy (enemy spotted)
39.2%Spray accuracy
79.7%Counter-strafing
8.0°Preaim
584msReaction time
26.5%T opening success
45.1%CT opening success
0.63Enemies flashed / flash
4.7%Flash assists
12.93HE damage / grenade
5.81Flashes / 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 26.5373% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache12–120.079%24 Oct →
anubis6–20.0522%24 Oct →
inferno13–7-0.0130%21 Oct →
ancient12–120.099%21 Oct →
inferno8–13-0.0415%12 Oct →
dust211–130.0418%12 Oct →
mirage7–130.0214%12 Oct →
cache13–90.0112%12 Oct →
dust27–13-0.0014%12 Oct →
dust25–13-0.0217%12 Oct →
dust213–9-0.0618%12 Oct →
mirage5–13-0.0514%11 Oct →
dust213–100.0319%11 Oct →
dust29–130.0915%5 Oct →
dust212–120.0515%5 Oct →
cache13–90.056%5 Oct →
mirage13–70.0118%5 Oct →
dust29–130.0312%4 Oct →
dust213–40.0510%1 Oct →
mirage12–120.0418%28 Sept →
ancient12–120.007%27 Sept →
dust28–13-0.0227%27 Sept →
dust213–80.079%27 Sept →
dust213–4-0.017%27 Sept →
inferno13–70.1221%27 Sept →
cache13–110.0015%27 Sept →
dust26–130.0419%27 Sept →
dust22–120.0218%26 Sept →
dust213–70.0424%26 Sept →
dust211–13-0.018%24 Sept →
inferno5–130.0219%15 Sept →
inferno8–130.0120%13 Sept →
cache10–13-0.0111%13 Sept →
inferno6–13-0.1010%12 Sept →
inferno13–50.0031%10 Sept →
overpass12–120.0815%7 Sept →
inferno13–110.0622%7 Sept →
cache13–50.0917%7 Sept →
mirage13–10-0.0312%7 Sept →
dust213–60.0024%7 Sept →
dust213–4-0.0123%7 Sept →
ancient15–15-0.0212%7 Sept →
dust213–6-0.0223%3 Sept →
dust28–13-0.0716%1 Sept →
ancient4–13-0.0517%1 Sept →
ancient13–30.087%1 Sept →
dust26–13-0.0736%1 Sept →
inferno13–50.0214%1 Sept →
ancient4–13-0.038%1 Sept →
cache11–130.0223%1 Sept →
ancient12–120.0620%31 Aug →
inferno13–30.1216%30 Aug →
dust213–40.058%30 Aug →
ancient13–110.0516%30 Aug →
cache13–100.0120%29 Aug →
nuke11–130.0816%29 Aug →
dust213–20.2522%29 Aug →
dust213–10.168%29 Aug →
cache13–110.0714%29 Aug →
overpass13–8-0.0010%29 Aug →
cache13–50.1116%29 Aug →
inferno13–30.0216%29 Aug →
cache7–130.0910%28 Aug →
mirage13–40.0315%28 Aug →
inferno2–13-0.107%28 Aug →
dust213–30.0618%28 Aug →
dust20–13-0.0918%28 Aug →
inferno13–60.0028%28 Aug →
ancient13–60.0511%28 Aug →
cache13–30.1820%28 Aug →
dust213–50.008%28 Aug →
cache13–6-0.0211%28 Aug →
dust213–40.0918%28 Aug →
dust213–40.0718%28 Aug →
cache10–130.0412%28 Aug →
train13–7-0.0120%28 Aug →
nuke13–50.0510%27 Aug →
ancient7–130.106%27 Aug →
dust213–60.1526%27 Aug →
dust213–30.0529%27 Aug →
dust25–130.0616%27 Aug →
cache13–2-0.006%27 Aug →
inferno10–100.0114%27 Aug →
ancient13–40.0521%27 Aug →
cache5–13-0.0110%27 Aug →
cache13–30.0819%27 Aug →
cache7–130.0011%26 Aug →
anubis13–20.1222%26 Aug →
cache8–90.0313%26 Aug →
dust212–12-0.0516%26 Aug →
cache5–13-0.047%26 Aug →
dust212–120.1111%25 Aug →
cache0–2-0.100%25 Aug →
dust23–130.0414%25 Aug →
anubis13–100.1421%18 Aug →
mirage9–130.0623%17 Aug →
mirage7–13-0.098%9 Aug →
inferno9–13-0.0317%9 Aug →
ancient6–13-0.0413%9 Aug →
cache13–80.0413%9 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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