ThiaGo

ThiaGo — CS2 Stats

NL76561198201071714[U:1:240805986]Steam profile ↗✓ No bans

520Tracked matches40%Win rate2020Tracked since
2,899Hours in CS21Hrs last 2 wks
CSDB Rating4.7 DevelopingClutch Specialist
Premier CS Rating11,572Blue band · top ~46.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (3 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.

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. 32 days played since 15 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 11,572 +1,908 15 Jul16 Sept · 22 days played
7,89213,424peak 13,42415 Jul16 Sept
13,998Peak Premier in tracked matches
32Days played since 2026-07-15

Premier CS Rating

  • 1,852 below peak (13,424)
  • +287 over 30 days · steady
  • Next: Purple band at 15,000 3,428 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-02
  • Light Blue band first seen 2026-09-02

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 Blue band among CSDB-tracked players (n=19,962), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate41.0%41.9%44.3%3.4% short
Shot accuracy18.5%9.6%11.8%above
Kill/death ratio0.930.981.030.10 short
Match win rate42.8%43.8%45.2%2.4% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGThiaGoPREMIER11,572 · Blue 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

Aim77
Positioning44
Utility10

0–100 skill scores via Leetify.

Recent form

STEADY52471Last 10052%Win rateWLWLWWWLLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −3.9pp headshot accuracy · −95ms reaction

Win rate 0pp 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 -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 603ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 520ms

Last 20

  • 1010 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 567ms

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 SpecialistLate-round 1vX conversion stands above the rest of this profile (+3.1 against its own average).

Aim7.7
Utility1.0
Positioning4.4
Opening Duels3.3
Clutch7.0

Limited utility dependenceReliable in 1v1s

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

ropz

Plays most like ropz 84% 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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 611ms 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
Positioning4.4
Utility1.0
Mechanics7.4
Opening Duels3.6
Win Impact1.7

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time594ms−56ms
first ⅓ avg 650ms → last ⅓ avg 594ms
Headshot accuracy19.6%+4.1%
first ⅓ avg 15.5% → last ⅓ avg 19.6%

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

0.10Best match rating · 13–3 · mirage, 31 Jul
46%Best headshot accuracy · 13–6 · inferno, 1 Aug
406msFastest reaction time · 13–7 · mirage, 9 Sept
13–1Biggest win · mirage, 12 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
65In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 80% over 5infernoWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
mirageA33191458%-0.00
infernoC2081240%-0.02
anubisA169756%-0.03
cacheA127558%0.00
ancientC94544%-0.02
dust2S54180%-0.01
nuke3030%-0.03
vertigo21150%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,048Lifetime kills
0.93K/D
3,354Matches
42.8%Match win rate
41.0%Headshot %
18.5%Shot accuracy · Top 5% of Blue band
8,176MVPs
1,535Hours (in match)
2,839Bombs planted
730Bombs defused

Most-used weapons

Lifetime map wins

3,150inferno
2,489dust2
857nuke
484vertigo
224train
198cbble
25assault
9aztec

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

Faceit stats

Combat

245Matches
48%Win rate
0.97Avg K/D
85.0ADR
42%Headshot %

Clutches & streaks

55%1v1 clutch win
29%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1040%1.0015.7
Anubis667%1.1418.8
Inferno450%0.8414.8
Dust2450%0.8512.3
Nuke10%0.7512.0
Cache1100%1.1219.0
Ancient1100%1.4619.0

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.

19.6%Headshot accuracy
35.8%Accuracy (enemy spotted)
37.4%Spray accuracy
83.2%Counter-strafing
8.5°Preaim
611msReaction time
39.7%T opening success
48.8%CT opening success
0.07Enemies flashed / flash
0.0%Flash assists
8.54HE damage / grenade
0.53Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.0704 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 39.6712% — below the 40% mark we flag

Spend your practice time on Inferno

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

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–6-0.0313%16 Sept
mirage5–130.0113%16 Sept
dust216–140.0218%13 Sept
anubis7–13-0.0614%12 Sept
mirage13–10.0120%12 Sept
ancient13–50.0314%12 Sept
inferno13–6-0.0232%12 Sept
anubis3–13-0.0518%11 Sept
anubis0–3-0.070%11 Sept
inferno2–13-0.0637%11 Sept
mirage11–13-0.0115%11 Sept
mirage9–13-0.0120%9 Sept
ancient9–13-0.0419%9 Sept
mirage13–70.0219%9 Sept
vertigo13–50.0123%8 Sept
cache11–13-0.0226%8 Sept
mirage13–90.0434%8 Sept
mirage13–11-0.0415%7 Sept
anubis4–13-0.0722%7 Sept
mirage13–70.0326%7 Sept
cache5–13-0.0017%7 Sept
nuke10–13-0.0110%7 Sept
mirage13–4-0.0120%5 Sept
cache4–13-0.0231%5 Sept
inferno7–13-0.089%5 Sept
dust23–10-0.0328%5 Sept
mirage8–13-0.1010%4 Sept
nuke6–13-0.0425%2 Sept
inferno6–13-0.0417%2 Sept
mirage13–3-0.0420%2 Sept
mirage13–110.0525%2 Sept
mirage13–10-0.0327%2 Sept
inferno10–13-0.0613%30 Aug
inferno9–130.0212%28 Aug
dust213–10-0.0329%26 Aug
inferno8–13-0.0126%23 Aug
anubis13–10-0.0817%23 Aug
cache13–40.0517%22 Aug
ancient13–50.0419%19 Aug
inferno13–60.0325%19 Aug
anubis13–11-0.0914%16 Aug
mirage12–12-0.0316%14 Aug
dust213–70.0223%14 Aug
cache13–110.0113%14 Aug
vertigo10–13-0.0410%14 Aug
inferno13–9-0.0124%14 Aug
mirage5–13-0.0811%12 Aug
dust213–8-0.0517%8 Aug
ancient8–13-0.146%7 Aug
cache13–11-0.0316%7 Aug
mirage11–13-0.049%7 Aug
anubis16–12-0.0217%7 Aug
mirage13–30.0115%7 Aug
anubis13–8-0.0120%7 Aug
inferno10–130.0618%5 Aug
inferno8–13-0.0614%5 Aug
inferno13–7-0.0416%5 Aug
mirage13–8-0.0217%5 Aug
anubis13–5-0.038%3 Aug
mirage13–90.0216%3 Aug
mirage8–13-0.0230%3 Aug
mirage13–10.0218%3 Aug
inferno7–130.0418%1 Aug
inferno13–6-0.0046%1 Aug
mirage13–7-0.0118%31 Jul
nuke11–13-0.0512%31 Jul
mirage13–30.1020%31 Jul
anubis13–70.0413%28 Jul
cache13–40.0413%25 Jul
mirage13–8-0.0121%25 Jul
cache9–13-0.0915%25 Jul
ancient5–13-0.099%25 Jul
anubis14–16-0.0312%25 Jul
inferno3–13-0.0719%25 Jul
inferno13–50.0717%23 Jul
anubis13–100.0212%23 Jul
ancient2–13-0.108%23 Jul
cache13–100.0512%23 Jul
inferno13–7-0.0512%23 Jul
cache13–30.0721%23 Jul
mirage13–20.0733%23 Jul
anubis13–10-0.0229%23 Jul
ancient13–60.0818%23 Jul
ancient8–130.0111%22 Jul
mirage9–130.0622%22 Jul
ancient13–70.0217%22 Jul
mirage9–130.0426%22 Jul
anubis13–2-0.008%22 Jul
mirage3–130.0212%22 Jul
cache13–30.0635%22 Jul
inferno13–80.0117%21 Jul
mirage8–13-0.028%21 Jul
mirage6–13-0.0414%20 Jul
inferno6–130.0111%20 Jul
anubis7–13-0.0412%20 Jul
mirage13–9-0.059%20 Jul
cache1–13-0.107%20 Jul
inferno7–13-0.0810%15 Jul
mirage6–13-0.0212%15 Jul
anubis6–13-0.0315%15 Jul

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 →