★ JoãoNeves87

★ JoãoNeves87 — CS2 Stats

NO76561198020601732[U:1:60336004]Steam profile ↗

3,567Tracked matches57%Win rate2020Tracked since
CSDB Rating6.0 SolidAggressive Rifler
FaceitLevel 8 · 1,889 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG★ JoãoNeves87FACEITLevel 8 · 1,889 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim73
Positioning51
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY50482Last 10050%Win rateLTWLWWLWWL

Last 10 vs previous 10: -20pp win rate · -0.05 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.3
Aggression8.3
Utility6.1
Positioning5.1
Opening Duels4.6
Clutch4.0

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

iM

Plays most like iM 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; higher opening-fight frequency.

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

T-side openings. Opening success drops from 59% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 673ms 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

Aim7.3
Positioning5.1
Utility6.1
Mechanics6.7
Opening Duels4.6
Win Impact7.4

Composite 6.0/10 (Solid), 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 rating0.01+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time670ms+6ms
first ⅓ avg 665ms → last ⅓ avg 670ms
Headshot accuracy22.0%+2.2%
first ⅓ avg 19.8% → last ⅓ avg 22.0%

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.

Highlights

0.17Best rating — mirage 13–0
130Biggest win — mirage
5Longest win streak
516In matches decided by ≤2 rounds
9Overtime games

Map breakdown

trainBest map · 75% over 8ancientWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA29161355%0.01
infernoC1881044%-0.00
ancientD112918%-0.03
trainS86275%0.05
dust2S75271%-0.00
nukeD72529%0.00
anubisD62433%0.01
cache43175%0.02
overpass43175%0.04
vertigo32167%0.06
grail21150%-0.03
office1010%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,357Matches
50%Win rate
1.03Avg K/D
82.9ADR
45%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
17Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage65153%1.1417.1
Ancient29447%1.0516.5
Inferno26650%1.0916.5
Anubis24947%1.0216.4
Dust221746%0.9915.5
Vertigo9842%0.9815.0
Nuke7154%0.9715.2
Overpass5560%1.1417.2

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.

21.7%Headshot accuracy
35.9%Accuracy (enemy spotted)
41.5%Spray accuracy
80.3%Counter-strafing
9.5°Preaim
673msReaction time
37.9%T opening success
58.8%CT opening success
0.58Enemies flashed / flash
6.8%Flash assists
11.56HE damage / grenade
12.52Flashes / 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. 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 37.8687% — below the 40% mark we flag

Spend your practice time on Ancient

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno5–13-0.0340%22 Jun
train12–120.0343%17 Jun
train13–9-0.0430%17 Jun
ancient14–16-0.0523%11 Jun
mirage13–9-0.0411%4 Jun
vertigo13–90.0727%4 Jun
vertigo11–130.0424%4 Jun
cache7–30.0725%6 May
cache13–7-0.0310%6 May
cache0–13-0.0650%6 May
cache13–70.0931%6 May
mirage13–00.1724%5 May
inferno11–13-0.0422%29 Apr
train13–100.0714%24 Apr
train13–7-0.0018%24 Apr
mirage4–13-0.0215%10 Apr
vertigo13–100.0824%9 Apr
mirage13–100.0823%27 Mar
inferno6–13-0.0222%26 Mar
dust213–60.0415%25 Mar
mirage13–80.0216%25 Mar
office12–120.0526%23 Mar
inferno10–13-0.0412%17 Mar
inferno4–13-0.0114%13 Mar
dust213–10-0.0518%5 Mar
mirage9–130.0213%4 Mar
train13–100.1121%2 Mar
mirage5–130.0224%28 Feb
ancient19–170.0318%25 Feb
mirage14–16-0.0522%20 Feb
mirage11–13-0.0313%16 Feb
mirage16–190.0117%16 Feb
inferno13–8-0.0920%13 Feb
dust214–160.0130%13 Feb
inferno3–12-0.0319%10 Feb
anubis13–60.1227%8 Feb
mirage5–13-0.0610%16 Jan
anubis8–13-0.0231%12 Jan
inferno9–130.0522%24 Dec
mirage13–30.1123%18 Dec
ancient10–13-0.0325%18 Dec
mirage11–13-0.0319%18 Dec
overpass13–110.0623%16 Dec
nuke13–10-0.0316%15 Dec
ancient10–13-0.0222%13 Dec
nuke10–130.0421%13 Dec
inferno13–100.0134%28 Nov
mirage5–130.0123%25 Nov
mirage13–60.0220%25 Nov
mirage13–10-0.0220%21 Nov
inferno13–50.0514%14 Nov
ancient11–13-0.0527%13 Nov
nuke11–130.0818%11 Nov
overpass13–8-0.0125%10 Nov
mirage13–90.0023%8 Nov
train13–70.1714%7 Nov
train13–70.0721%7 Nov
mirage13–80.0634%31 Oct
overpass11–130.0426%23 Oct
nuke11–130.0023%23 Oct
ancient13–7-0.0320%22 Aug
nuke13–60.0313%4 Aug
overpass13–60.0814%25 Jul
inferno11–130.0415%21 Jul
inferno13–100.0622%16 Jul
dust211–13-0.0215%14 Jul
mirage11–13-0.0020%11 Jul
nuke19–22-0.0516%11 Jul
mirage16–14-0.0121%10 Jul
grail13–60.0221%2 Jul
grail6–13-0.0813%2 Jul
mirage8–13-0.0916%24 Jun
mirage13–60.0628%24 Jun
inferno13–70.0218%11 Jun
dust213–6-0.0117%23 May
nuke6–13-0.0521%23 May
anubis5–13-0.0226%22 May
mirage13–110.0715%15 May
mirage13–100.0118%9 May
ancient14–16-0.0413%30 Apr
ancient9–130.0114%4 Apr
dust213–10-0.0225%31 Mar
ancient8–13-0.0524%23 Mar
mirage5–13-0.109%22 Mar
anubis8–130.0330%21 Mar
anubis22–190.0516%12 Mar
mirage13–9-0.0525%12 Mar
inferno13–50.0421%4 Feb
mirage13–50.0017%4 Feb
train3–13-0.0324%4 Feb
inferno8–12-0.074%4 Feb
ancient8–13-0.0812%1 Feb
inferno13–70.0222%31 Jan
inferno10–13-0.0526%28 Jan
ancient11–130.0220%28 Jan
inferno13–70.0526%27 Jan
mirage13–70.0425%20 Jan
dust213–110.0422%20 Jan
anubis1–5-0.1020%19 Jan
mirage9–130.0327%13 Jan

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 →