Marcoalneves

Marcoalneves — CS2 Stats

76561199060594348[U:1:1100328620]Steam profile ↗✓ No bans

922Tracked matches67%Win rate2022Tracked since
1,760Hours in CS39Hrs last 2 wks
CSDB Rating7.0 StrongPositional Player
Premier CS Rating16,940Purple band · top ~20.7% of ranked players (population est.)
FaceitLevel 5 · 1,227 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (16 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: 16,940 +128 3 Sept – 30 Sept · 19 days played
15,48417,592peak 17,5923 Sept30 Sept
17,966Peak Premier in tracked matches
1,227Highest Faceit ELO seen on CSDB
31Days played since 2026-08-27

Faceit ELO

  • At peak — 1,227
  • Next: Level 7 at 1,351 — 124 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 652 below peak (17,592)
  • +128 over 30 days · steady
  • Next: Pink band at 20,000 — 3,060 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Level 5 among CSDB-tracked players (n=13,918), 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 5 medianLevel 6 medianvs Level 6
Headshot rate56.1%43.7%44.8%above
Shot accuracy6.1%12.0%12.4%6.3% short
Kill/death ratio0.991.021.030.04 short
Match win rate44.4%44.7%45.2%meets

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMarcoalnevesFACEITLevel 5 · 1,227 ELOSTANDINGTop 67.6% of rankedPREMIER16,940 · Purple bandPEAK ELO1,227csdb.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

Aim74
Positioning65
Utility57

0–100 skill scores via Leetify.

Recent form

HOT55–41–4Last 10055%Win rateWWWWWLWWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +1.3pp headshot accuracy · −17ms reaction

Win rate +10pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 550ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 551ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 559ms

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).

Aim7.4
Utility5.7
Positioning6.5
Opening Duels5.1
Clutch3.2

Limited utility dependence

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

jL

Plays most like jL 91% 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. 569ms 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

Aim7.4
Positioning6.5
Utility5.7
Mechanics6.6
Opening Duels6.0
Win Impact10.0

Composite 7.0/10 (Strong), 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 rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time561ms−4ms
first ⅓ avg 565ms → last ⅓ avg 561ms
Headshot accuracy23.8%−1.8%
first ⅓ avg 25.6% → last ⅓ avg 23.8%

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 · 13–0 · mirage, 28 Sept →
47%Best headshot accuracy · 13–9 · mirage, 27 Aug →
414msFastest reaction time · 11–13 · inferno, 1 Sept →
13–0Biggest win · ancient, 8 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
8–8In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 67% over 15cacheWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B199–1047%0.01
cacheC156–940%0.01
nukeS1510–567%0.02
mirageA148–657%0.01
infernoB137–654%0.00
ancientS128–467%0.02
anubisA95–456%0.00
overpass—21–150%-0.00
vertigo—11–0100%0.05

Across the last 100 tracked matches.

Lifetime stats

44,921Lifetime kills
0.99K/D
3,000Matches
44.4%Match win rate
56.1%Headshot % · Top 10% of Level 5 players
6.1%Shot accuracy
7,219MVPs
862Hours (in match)
3,031Bombs planted
488Bombs defused

Most-used weapons

Lifetime map wins

4,070inferno
2,633dust2
2,322nuke
1,726vertigo
1,022train
252lake
125cbble
88office

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

Faceit stats

Combat

102Matches
55%Win rate
1.15Avg K/D
85.4ADR
59%Headshot %

Clutches & streaks

36%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2055%1.1616.4
Dust21567%1.1214.8
Inferno1464%1.0515.8
Vertigo1250%1.5317.6
Ancient1242%1.3816.8
Anubis1173%0.9816.3
Nuke1136%1.0216.4
Overpass560%0.9015.6

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.

24.2%Headshot accuracy
32.8%Accuracy (enemy spotted)
35.4%Spray accuracy
79.8%Counter-strafing
10.0°Preaim
569msReaction time
51.2%T opening success
56.6%CT opening success
0.56Enemies flashed / flash
16.4%Flash assists
12.77HE damage / grenade
2.58Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.5775 — below the 4 mark we flag

    Grenade Lineups →
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.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
overpass9–5-0.0515%14 Oct →
inferno13–10-0.0217%12 Oct →
cache13–6-0.0318%12 Oct →
vertigo9–40.0528%12 Oct →
nuke9–60.1133%12 Oct →
inferno3–9-0.0932%12 Oct →
inferno13–80.1026%11 Oct →
inferno13–70.0621%11 Oct →
overpass6–90.0520%9 Oct →
ancient13–00.0628%8 Oct →
nuke2–13-0.0637%7 Oct →
ancient13–90.0933%7 Oct →
anubis13–11-0.0013%2 Oct →
cache13–00.0811%2 Oct →
dust24–13-0.0817%2 Oct →
nuke13–10.0338%2 Oct →
anubis13–20.1322%2 Oct →
mirage13–80.0020%2 Oct →
inferno13–40.0421%2 Oct →
dust21–13-0.0814%1 Oct →
inferno4–130.0621%1 Oct →
mirage1–13-0.1122%1 Oct →
anubis9–13-0.0023%30 Sept →
ancient13–50.0326%30 Sept →
anubis14–160.0324%30 Sept →
dust213–160.0135%30 Sept →
dust213–50.0422%30 Sept →
dust213–50.0618%29 Sept →
cache7–13-0.0521%29 Sept →
ancient16–13-0.0027%29 Sept →
cache6–13-0.0818%29 Sept →
anubis13–10.0441%29 Sept →
inferno13–40.0228%28 Sept →
mirage13–00.1938%28 Sept →
dust213–20.1033%28 Sept →
mirage2–13-0.009%28 Sept →
cache13–80.0338%28 Sept →
dust211–13-0.0223%28 Sept →
dust22–13-0.0718%28 Sept →
inferno13–60.0030%28 Sept →
mirage13–50.0718%28 Sept →
cache16–14-0.0219%27 Sept →
dust213–100.0636%27 Sept →
nuke9–13-0.0319%27 Sept →
nuke13–110.1231%26 Sept →
cache10–130.0141%26 Sept →
ancient13–80.0421%26 Sept →
dust213–40.0427%26 Sept →
nuke1–130.0121%25 Sept →
anubis16–12-0.0216%25 Sept →
inferno13–60.0028%25 Sept →
nuke13–11-0.0032%25 Sept →
nuke5–13-0.0539%25 Sept →
mirage13–8-0.0123%24 Sept →
nuke6–13-0.0433%24 Sept →
dust214–16-0.0230%24 Sept →
anubis10–13-0.0616%24 Sept →
mirage13–110.0120%23 Sept →
ancient13–90.0733%21 Sept →
nuke13–40.0112%21 Sept →
cache14–16-0.0222%20 Sept →
cache5–130.0224%20 Sept →
ancient13–16-0.0825%19 Sept →
dust26–130.0123%19 Sept →
dust211–130.0723%17 Sept →
nuke13–100.0829%17 Sept →
ancient14–16-0.0418%17 Sept →
ancient6–40.0428%17 Sept →
cache8–130.0617%16 Sept →
nuke13–110.1028%12 Sept →
dust213–60.0134%8 Sept →
dust21–13-0.0727%6 Sept →
ancient13–70.0220%6 Sept →
cache15–150.0117%6 Sept →
dust216–130.0527%5 Sept →
ancient10–13-0.0033%5 Sept →
anubis13–7-0.0026%5 Sept →
cache11–13-0.0031%4 Sept →
nuke13–100.0023%4 Sept →
inferno0–13-0.060%4 Sept →
mirage15–150.0121%4 Sept →
mirage6–130.0520%3 Sept →
cache13–110.0219%3 Sept →
mirage15–15-0.0222%3 Sept →
nuke13–8-0.0226%3 Sept →
mirage13–60.0131%1 Sept →
inferno11–13-0.0116%1 Sept →
dust29–13-0.0233%1 Sept →
cache10–130.0019%1 Sept →
mirage13–90.0625%1 Sept →
cache13–60.0729%1 Sept →
dust213–00.0525%1 Sept →
inferno4–10-0.0825%31 Aug →
anubis6–13-0.0811%30 Aug →
ancient6–13-0.0221%30 Aug →
nuke13–70.0534%30 Aug →
mirage15–15-0.0837%27 Aug →
inferno13–160.0334%27 Aug →
mirage13–9-0.0147%27 Aug →
dust213–50.0540%27 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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