SanQinho

SanQinho — CS2 Stats

DE76561198115438763[U:1:155173035]Steam profile ↗✓ No bans

437Tracked matches62%Win rate2023Tracked since
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating14,893Blue band · top ~29% of ranked players (population est.)
FaceitLevel 3 · 853 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (2 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: 14,893 +572 31 May – 30 Sept · 9 days played
13,53314,999peak 14,99931 May30 Sept
Faceit ELO: 853 +0 4 Sept – 6 Sept · 2 observations
853853peak 8534 Sept6 Sept
14,999Peak Premier in tracked matches
853Highest Faceit ELO seen on CSDB
46Days played since 2026-05-26

Faceit ELO

  • At peak — 853
  • Next: Level 4 at 901 — 48 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-04
  • Level 2 first seen 2026-09-04

Premier CS Rating

  • 106 below peak (14,999)
  • +290 over 30 days · steady
  • +1,360 over 90 days
  • Next: Purple band at 15,000 — 107 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-04
  • Light Blue band first seen 2026-09-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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.

Share this profile

CSDB.GGSanQinhoFACEITLevel 3 · 853 ELOSTANDINGTop 90.6% of rankedPREMIER14,893 · Blue bandPEAK ELO853csdb.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

Aim42
Positioning41
Utility36

0–100 skill scores via Leetify.

Recent form

HOT61–37–2Last 10061%Win rateLLWWWWLWWW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · +0.4pp headshot accuracy · −9ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 616ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 640ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 644ms

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 (+1.4 against its own average).

Aim4.2
Utility3.6
Positioning4.1
Opening Duels0.9
Clutch2.0

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 79% 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

Aim4.2
Positioning4.1
Utility3.6
Mechanics5.3
Opening Duels0.6
Win Impact9.0

Composite 4.2/10 (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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time623ms−86ms
first ⅓ avg 709ms → last ⅓ avg 623ms
Headshot accuracy14.6%−0.6%
first ⅓ avg 15.2% → last ⅓ avg 14.6%

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

0.13Best match rating · 9–0 · inferno, 15 Sept →
33%Best headshot accuracy · 9–0 · inferno, 15 Sept →
406msFastest reaction time · 12–12 · office, 6 Sept →
13–0Biggest win · ancient, 4 Jun →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
6–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 73% over 22cacheWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
ancientA2516–964%-0.03
infernoS2216–673%-0.02
nukeA1912–763%-0.04
dust2A1811–761%-0.04
cacheC94–544%-0.05
office—31–233%-0.02
mirage—21–150%-0.06
anubis—10–10%-0.03
overpass—10–10%-0.09

Across the last 100 tracked matches.

Faceit stats

Combat

126Matches
52%Win rate
0.55Avg K/D
51.6ADR
42%Headshot %

Clutches & streaks

30%1v1 clutch win
5%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno3462%0.599.2
Ancient2959%0.508.1
Nuke2544%0.599.5
Dust22045%0.559.2
Overpass757%0.5710.1
Cache250%0.6011.0
Mirage250%0.489.0
Anubis20%0.429.0

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.

13.9%Headshot accuracy
30.1%Accuracy (enemy spotted)
28.9%Spray accuracy
73.9%Counter-strafing
9.7°Preaim
627msReaction time
27.1%T opening success
34.8%CT opening success
0.41Enemies flashed / flash
5.7%Flash assists
5.39HE damage / grenade
5.32Flashes / 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 13.9057% — 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 0.415 — 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 27.0575% — below the 40% mark we flag

Spend your practice time on Cache

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0516%30 Sept →
ancient14–16-0.068%29 Sept →
inferno13–8-0.0410%29 Sept →
inferno16–12-0.0117%29 Sept →
ancient13–7-0.0330%28 Sept →
ancient13–11-0.0715%28 Sept →
anubis8–13-0.0324%28 Sept →
nuke13–8-0.0116%28 Sept →
ancient13–8-0.0511%17 Sept →
inferno13–8-0.0713%17 Sept →
inferno7–130.0113%15 Sept →
inferno9–00.1333%15 Sept →
nuke7–9-0.1914%15 Sept →
dust24–13-0.0423%14 Sept →
nuke13–50.023%14 Sept →
dust213–11-0.049%13 Sept →
ancient13–10-0.0313%13 Sept →
nuke7–13-0.0723%9 Sept →
dust210–13-0.089%9 Sept →
office5–13-0.0715%8 Sept →
nuke13–80.0019%8 Sept →
ancient16–13-0.0310%8 Sept →
office12–120.0129%6 Sept →
cache7–13-0.076%6 Sept →
dust213–8-0.0311%6 Sept →
inferno13–10-0.059%6 Sept →
inferno2–13-0.0619%2 Sept →
inferno13–8-0.017%30 Aug →
ancient13–2-0.0516%30 Aug →
nuke11–130.0013%30 Aug →
dust213–8-0.0210%30 Aug →
cache13–5-0.014%27 Aug →
ancient13–11-0.0113%26 Aug →
ancient13–80.0220%26 Aug →
nuke13–40.0114%25 Aug →
inferno13–40.0218%25 Aug →
nuke11–13-0.0810%25 Aug →
cache12–120.0116%20 Aug →
inferno13–10-0.008%20 Aug →
inferno13–90.0317%19 Aug →
ancient13–11-0.0513%19 Aug →
ancient9–13-0.097%16 Aug →
nuke13–5-0.0313%16 Aug →
cache13–10-0.049%16 Aug →
inferno12–16-0.0617%13 Aug →
ancient13–16-0.0315%13 Aug →
ancient13–50.014%13 Aug →
dust26–13-0.0629%12 Aug →
office13–10-0.010%12 Aug →
nuke13–3-0.016%11 Aug →
ancient9–130.004%11 Aug →
cache6–13-0.0713%11 Aug →
nuke8–13-0.0613%10 Aug →
dust213–5-0.0212%10 Aug →
inferno11–13-0.0315%10 Aug →
ancient5–13-0.049%9 Aug →
ancient13–50.018%6 Aug →
nuke10–13-0.055%29 Jul →
dust213–4-0.056%29 Jul →
cache10–13-0.0913%28 Jul →
dust26–13-0.0910%27 Jul →
cache13–6-0.0328%27 Jul →
cache11–13-0.095%26 Jul →
dust216–12-0.0216%21 Jul →
nuke13–5-0.0015%21 Jul →
dust213–11-0.1112%20 Jul →
nuke13–10-0.058%20 Jul →
inferno13–9-0.0524%9 Jul →
ancient9–13-0.0313%6 Jul →
dust213–8-0.0015%4 Jul →
inferno13–11-0.0711%4 Jul →
overpass7–13-0.0914%30 Jun →
inferno13–16-0.0814%30 Jun →
ancient11–13-0.018%26 Jun →
dust28–13-0.0321%26 Jun →
nuke13–7-0.077%26 Jun →
inferno13–8-0.0818%23 Jun →
ancient13–4-0.0516%23 Jun →
mirage13–6-0.0312%15 Jun →
nuke13–8-0.054%10 Jun →
nuke13–9-0.0818%9 Jun →
ancient13–9-0.0916%8 Jun →
inferno13–5-0.0215%8 Jun →
ancient7–13-0.0511%8 Jun →
nuke13–10-0.0413%5 Jun →
cache13–3-0.0313%5 Jun →
mirage7–13-0.1015%4 Jun →
ancient13–0-0.0524%4 Jun →
dust29–13-0.0314%4 Jun →
inferno13–10-0.0424%4 Jun →
ancient13–10-0.058%2 Jun →
dust213–6-0.0730%2 Jun →
dust28–13-0.0621%1 Jun →
nuke10–13-0.016%1 Jun →
ancient13–70.019%1 Jun →
inferno13–40.0213%31 May →
dust213–30.0227%31 May →
ancient8–13-0.0412%31 May →
inferno13–2-0.0311%26 May →
dust213–6-0.0325%26 May →

Match data via Leetify.

Recent teammates

Milestones

100 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.