Velho Ancião

Velho Ancião — CS2 Stats

BR76561198288969750[U:1:328704022]Steam profile ↗✓ No bans

2,106Tracked matches37%Win rate2020Tracked since
5,252Hours in CS7Hrs last 2 wks
CSDB Rating3.1 LearningSupport
FaceitLevel 2 · 765 ELOTop 97.9% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 765 → 765
+9Tracked matches · now 2,106
−6.7ppWin rate · 43.3% → 36.7%

Rating over time

765Highest Faceit ELO seen on CSDB
61Days played since 2025-06-11

Faceit ELO

  • At peak — 765
  • Next: Level 4 at 901 — 136 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-10-24
  • Level 2 first seen 2026-10-24

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.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate33.8%41.3%41.8%8.0% short
Shot accuracy14.4%12.7%12.2%above
Kill/death ratio0.820.950.980.16 short
Match win rate40.5%42.6%43.3%2.7% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGVelho AnciãoFACEITLevel 2 · 765 ELOSTANDINGTop 97.9% of rankedPEAK ELO765csdb.gg/stats

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Performance scores

Aim41
Positioning28
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY46–53–1Last 10046%Win rateLLWWLWLLWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.6pp headshot accuracy · +1ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 616ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 590ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 589ms

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: Support — Utility contribution stands above the rest of this profile (+2.4 against its own average).

Aim4.1
Utility5.0
Positioning2.8
Opening Duels0.0
Clutch2.8

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 74% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 600ms 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

Aim4.1
Positioning2.8
Utility5.0
Mechanics5.6
Opening Duels0.0
Win Impact0.6

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time600ms−42ms
first ⅓ avg 642ms → last ⅓ avg 600ms
Headshot accuracy13.5%+0.4%
first ⅓ avg 13.1% → last ⅓ avg 13.5%

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

0.08Best match rating · 13–0 · inferno, 14 Feb →
30%Best headshot accuracy · 13–0 · inferno, 14 Feb →
453msFastest reaction time · 13–6 · inferno, 9 May →
13–0Biggest win · inferno, 14 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
9–10In matches decided by ≤2 rounds
20Overtime games

Map breakdown

overpassBest map · 86% over 14anubisWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
infernoB3317–1652%-0.04
ancientC238–1535%-0.05
anubisD175–1229%-0.04
overpassS1412–286%-0.01
mirage—41–325%-0.03
cache—30–30%-0.07
nuke—21–150%0.01
dust2—21–150%0.01
vertigo—10–10%-0.08
train—11–0100%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,933Lifetime kills
0.82K/D
6,259Matches
40.5%Match win rate
33.8%Headshot %
14.4%Shot accuracy · Top 50% of Level 2 players
9,875MVPs
3,073Hours (in match)
6,653Bombs planted
1,443Bombs defused

Most-used weapons

AK-4732,157
AWP15,590
MP94,081
MAC-104,049
SG 5533,045
FAMAS2,374

Lifetime map wins

16,378dust2
14,034inferno
3,722vertigo
947train
944nuke
246cbble
54aztec
35office

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

Faceit stats

Combat

1,435Matches
48%Win rate
0.75Avg K/D
58.4ADR
36%Headshot %

Clutches & streaks

34%1v1 clutch win
10%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno21852%0.7511.7
Anubis21243%0.6811.4
Ancient14048%0.6611.1
Vertigo12752%0.8112.4
Overpass7349%0.7112.0
Nuke3037%0.7211.0
Mirage2536%0.6711.5
Dust22544%0.7812.1

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.

13.3%Headshot accuracy
28.9%Accuracy (enemy spotted)
34.3%Spray accuracy
75.2%Counter-strafing
11.9°Preaim
600msReaction time
19.3%T opening success
29.8%CT opening success
0.42Enemies flashed / flash
4.6%Flash assists
7.36HE damage / grenade
10.07Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.3301% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4197 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 19.2751% — below the 40% mark we flag

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.

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–16-0.0913%27 Oct →
inferno10–13-0.0412%24 Oct →
ancient13–11-0.0815%24 Oct →
inferno13–3-0.0414%9 Oct →
anubis14–16-0.074%9 Oct →
inferno13–11-0.0710%3 Sept →
ancient22–25-0.0814%2 Sept →
vertigo6–13-0.0810%2 Sept →
inferno13–10-0.0216%18 Aug →
nuke13–50.0119%15 Aug →
ancient13–50.0111%15 Aug →
anubis6–13-0.0316%13 Jun →
inferno5–13-0.029%12 Jun →
ancient7–13-0.0614%12 Jun →
anubis16–13-0.0812%11 Jun →
overpass16–14-0.0613%6 Jun →
ancient5–13-0.0517%5 Jun →
cache10–13-0.0311%21 May →
ancient5–13-0.0518%21 May →
ancient5–13-0.1122%16 May →
cache7–13-0.1012%16 May →
inferno13–11-0.0511%13 May →
ancient13–8-0.0418%13 May →
anubis9–130.0127%9 May →
ancient11–13-0.0313%9 May →
inferno5–13-0.0514%9 May →
inferno13–60.0516%9 May →
ancient11–13-0.077%8 May →
mirage5–130.029%8 May →
cache9–13-0.0811%8 May →
inferno16–140.0117%8 May →
inferno13–3-0.0810%6 Apr →
inferno13–9-0.0412%23 Mar →
ancient13–16-0.0711%23 Mar →
anubis23–25-0.0412%21 Mar →
ancient13–3-0.0410%21 Mar →
anubis13–8-0.070%20 Mar →
overpass13–5-0.029%18 Mar →
inferno9–13-0.0727%12 Mar →
anubis13–8-0.0112%8 Mar →
inferno7–13-0.0622%8 Mar →
anubis8–13-0.0515%7 Mar →
anubis6–13-0.093%7 Mar →
inferno13–11-0.0321%7 Mar →
inferno4–13-0.0611%6 Mar →
inferno13–10-0.0617%28 Feb →
anubis13–11-0.0114%28 Feb →
overpass16–12-0.0216%20 Feb →
anubis17–19-0.0517%15 Feb →
inferno13–00.0830%14 Feb →
inferno11–13-0.0214%13 Feb →
ancient6–13-0.0519%13 Feb →
mirage5–13-0.0410%17 Jan →
anubis8–13-0.0520%17 Jan →
anubis11–130.034%17 Jan →
ancient10–13-0.0614%1 Jan →
dust27–130.0116%30 Dec →
mirage13–9-0.0418%30 Dec →
inferno13–8-0.0316%30 Dec →
dust213–60.0110%30 Dec →
ancient13–3-0.0717%29 Dec →
ancient13–70.0115%27 Dec →
ancient7–13-0.049%27 Dec →
overpass13–70.0216%14 Dec →
overpass13–5-0.047%14 Dec →
inferno8–13-0.094%14 Dec →
inferno18–22-0.038%13 Dec →
ancient13–8-0.0511%12 Dec →
ancient7–13-0.0311%7 Dec →
inferno6–13-0.0515%7 Dec →
train13–8-0.0315%7 Dec →
inferno16–13-0.077%2 Dec →
overpass13–70.0316%1 Nov →
inferno13–6-0.0110%23 Oct →
inferno14–16-0.0514%11 Oct →
ancient3–13-0.0520%11 Oct →
overpass13–50.0417%11 Oct →
overpass13–90.0123%11 Oct →
overpass22–19-0.059%10 Oct →
overpass16–13-0.0114%10 Oct →
anubis8–13-0.013%26 Sept →
mirage9–13-0.078%19 Sept →
nuke10–130.0123%13 Sept →
overpass11–13-0.0412%22 Aug →
inferno13–16-0.0513%17 Aug →
inferno13–5-0.038%15 Aug →
ancient13–5-0.0312%14 Aug →
overpass6–13-0.0212%7 Aug →
ancient11–13-0.077%7 Aug →
inferno13–16-0.0816%5 Aug →
ancient5–13-0.0713%5 Aug →
inferno13–9-0.0112%5 Aug →
inferno5–13-0.0919%1 Aug →
overpass13–8-0.045%1 Aug →
inferno15–15-0.0111%29 Jul →
overpass13–11-0.0218%19 Jul →
anubis13–8-0.0413%15 Jul →
anubis5–13-0.0218%11 Jul →
inferno16–14-0.0310%28 Jun →
inferno19–22-0.0317%11 Jun →

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 →

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