Correia

Correia — CS2 Stats

PT76561198193183482[U:1:232917754]Steam profile ↗✓ No bans

692Tracked matches50%Win rate2020Tracked since
5,437Hours in CS
CSDB Rating5.3 DevelopingPositional Player
FaceitLevel 9 · 1,917 ELOTop 20.7% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 692 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,559 +7,560 11 Nov – 2 Jul · 12 days played
8,99921,540peak 21,54011 Nov2 Jul
Faceit ELO: 1,917 +0 30 Aug – 22 Sept · 3 observations
1,9171,917peak 1,91730 Aug22 Sept
21,540Peak Premier in tracked matches
1,917Highest Faceit ELO seen on CSDB
81Days played since 2023-08-30

Faceit ELO

  • At peak — 1,917
  • 0 over 30 days · steady
  • Next: Level 10 at 2,001 — 84 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-30
  • Level 8 first seen 2026-08-30

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.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,332), 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 9 medianLevel 10 medianvs Level 10
Headshot rate42.9%48.2%50.9%8.1% short
Shot accuracy17.0%13.3%13.7%above
Kill/death ratio0.831.071.090.26 short
Match win rate34.0%46.9%48.4%14.4% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCorreiaFACEITLevel 9 · 1,917 ELOSTANDINGTop 20.7% of ranked30 DAYS0 ELOPEAK ELO1,917csdb.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

Aim65
Positioning50
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateLLLWWLLLWW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −9.0pp headshot accuracy · −120ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 656ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 584ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • 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 (+1.1 against its own average).

Aim6.5
Utility3.3
Positioning5.0
Opening Duels4.5
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

m0NESY

Plays most like m0NESY 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

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

Reaction time. 675ms 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

Aim6.5
Positioning5.0
Utility3.3
Mechanics8.0
Opening Duels4.1
Win Impact5.0

Composite 5.3/10 (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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time665ms+35ms
first ⅓ avg 630ms → last ⅓ avg 665ms
Headshot accuracy16.9%−2.3%
first ⅓ avg 19.2% → last ⅓ avg 16.9%

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

0.19Best match rating · 13–4 · mirage, 26 Jun →
67%Best headshot accuracy · 1–3 · vertigo, 11 Nov →
391msFastest reaction time · 13–8 · anubis, 29 Jan →
13–1Biggest win · dust2, 28 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
6–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 67% over 12dust2Weakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA3319–1458%0.02
ancientS128–467%-0.01
infernoB126–650%0.00
anubisA127–558%-0.02
vertigoA116–555%0.02
overpassA85–363%0.00
dust2C73–443%0.02
train—30–30%0.04
nuke—21–150%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

149,188Lifetime kills
0.83K/D
9,300Matches
34.0%Match win rate
42.9%Headshot %
17.0%Shot accuracy · Top 25% of Level 9 players
23,813MVPs
5,437Hours (in match)
9,070Bombs planted
3,424Bombs defused

Most-used weapons

AK-4741,900
AWP30,092
Knife4,475
P2503,530
SG 5532,658
P902,530

Lifetime map wins

14,675dust2
14,492inferno
5,406train
2,116cbble
2,079nuke
2,031vertigo
116office
102italy

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

Faceit stats

Combat

2,263Matches
53%Win rate
1.00Avg K/D
76.0ADR
42%Headshot %

Clutches & streaks

34%1v1 clutch win
25%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5639%1.1217.0
Anubis3165%1.0915.2
Dust22654%1.3817.4
Ancient2646%0.9014.9
Inferno1844%0.9515.5
Vertigo650%0.8114.3
Train560%1.3217.2
Overpass475%1.3218.8

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.

17.1%Headshot accuracy
35.0%Accuracy (enemy spotted)
31.0%Spray accuracy
86.2%Counter-strafing
8.7°Preaim
675msReaction time
44.5%T opening success
48.1%CT opening success
0.54Enemies flashed / flash
5.0%Flash assists
6.99HE damage / grenade
9.33Flashes / match

Recommended for you

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.

43% 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
mirage8–130.0023%28 Jul →
nuke6–13-0.068%16 Jul →
ancient7–13-0.044%13 May →
mirage13–100.0615%15 Apr →
overpass13–4-0.100%19 Mar →
ancient9–130.0315%2 Feb →
dust21–70.000%28 Jan →
overpass8–13-0.0114%3 Jan →
ancient13–90.0422%28 Dec →
mirage13–110.0620%27 Dec →
overpass13–60.0431%12 Dec →
inferno10–130.0713%7 Dec →
dust211–13-0.0319%2 Dec →
mirage13–70.1020%21 Nov →
mirage6–130.0416%23 Sept →
ancient16–13-0.0428%8 Sept →
overpass13–5-0.0420%3 Sept →
dust213–20.0632%6 Aug →
vertigo5–13-0.0917%8 Jul →
nuke13–30.0115%8 Jul →
inferno13–40.0010%5 Jul →
ancient6–130.0124%2 Jul →
inferno5–13-0.0510%28 Jun →
dust25–13-0.0315%27 Jun →
mirage13–40.0215%27 Jun →
inferno8–13-0.0513%22 Jun →
mirage11–13-0.0122%18 Jun →
mirage13–70.0729%18 Jun →
mirage13–9-0.0114%12 Jun →
anubis13–110.059%20 May →
dust24–130.0111%22 Apr →
mirage13–4-0.0014%16 Apr →
inferno13–70.0041%16 Apr →
mirage13–50.1129%14 Apr →
inferno9–130.0222%3 Apr →
mirage13–30.0932%14 Mar →
anubis13–90.0215%27 Feb →
inferno9–13-0.0325%17 Feb →
ancient13–7-0.0224%15 Jan →
vertigo7–00.024%7 Jan →
ancient16–14-0.0015%7 Dec →
train12–120.1021%27 Nov →
train11–13-0.0420%27 Nov →
train4–130.0729%17 Nov →
mirage13–6-0.0216%19 Oct →
dust213–30.0944%30 Aug →
vertigo8–80.0921%19 Aug →
mirage13–40.1928%26 Jun →
dust213–10.0623%28 May →
mirage9–130.0121%14 May →
mirage4–130.0118%5 Mar →
mirage9–130.0317%3 Mar →
overpass13–40.1316%28 Feb →
mirage13–90.0018%28 Feb →
mirage13–9-0.0020%26 Feb →
anubis13–8-0.0413%26 Feb →
vertigo13–9-0.0022%24 Feb →
anubis3–13-0.0415%19 Feb →
vertigo13–16-0.0511%14 Feb →
vertigo14–16-0.0615%12 Feb →
anubis2–13-0.1017%7 Feb →
mirage8–130.0418%31 Jan →
anubis13–80.0211%29 Jan →
vertigo13–30.1345%26 Jan →
mirage13–5-0.0113%26 Jan →
anubis16–13-0.0410%24 Jan →
vertigo13–6-0.0326%23 Jan →
mirage13–90.0719%14 Jan →
mirage8–13-0.0213%12 Jan →
mirage8–13-0.0521%5 Jan →
anubis13–100.0118%4 Jan →
mirage6–13-0.0621%26 Dec →
mirage1–12-0.0712%26 Dec →
vertigo16–130.0421%25 Dec →
anubis7–13-0.1014%20 Dec →
anubis6–13-0.0414%15 Dec →
mirage3–13-0.0716%15 Dec →
ancient13–8-0.019%17 Nov →
vertigo1–30.0367%11 Nov →
mirage13–60.0436%3 Nov →
ancient2–13-0.1029%1 Nov →
anubis13–10.0218%1 Nov →
inferno13–50.0522%20 Sept →
ancient13–7-0.0120%14 Sept →
mirage9–130.0322%12 Sept →
mirage5–130.018%12 Sept →
ancient13–60.0219%12 Sept →
vertigo13–10.1711%12 Sept →
inferno13–4-0.0521%12 Sept →
overpass13–60.098%12 Sept →
mirage13–110.0217%11 Sept →
inferno8–130.0123%5 Sept →
anubis15–15-0.018%4 Sept →
ancient16–13-0.0424%4 Sept →
mirage13–110.018%3 Sept →
inferno16–14-0.0415%3 Sept →
inferno13–60.0827%1 Sept →
overpass8–16-0.0210%31 Aug →
overpass12–16-0.0721%30 Aug →
mirage16–130.0923%30 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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