⑤ ✓ HOMEM Vasco — CS2 Stats

76561198956756257[U:1:996490529]

113Tracked matches69%Win rate2025Tracked since
CSDB Rating3.9 LearningClutch Specialist
Ladder ranks via Leetify

Performance scores

Aim30
Positioning30
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY58393Last 10058%Win rateLLWLWLWWWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim3.0
Aggression0.4
Utility5.0
Positioning3.0
Opening Duels0.0
Clutch9.4

Reliable in 1v1s

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

NiKo

Plays most like NiKo 66% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 662ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.0
Positioning3.0
Utility5.0
Mechanics4.2
Opening Duels0.0
Win Impact10.0

Composite 3.9/10 (Learning), 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 rating-0.04+0.02
first ⅓ avg -0.06 → last ⅓ avg -0.04
Reaction time672ms−22ms
first ⅓ avg 694ms → last ⅓ avg 672ms
Headshot accuracy15.4%+1.6%
first ⅓ avg 13.8% → last ⅓ avg 15.4%

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

0.11Best rating — inferno 13–1
130Biggest win — inferno
8Longest win streak
L2Current streak
74In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 92% over 13infernoWeakest map · 47% over 32
MapGradePlayedRecordWin rateAvg rating
infernoB32151747%-0.05
mirageB25121348%-0.06
anubisS1312192%-0.04
ancientS86275%-0.06
dust2B84450%-0.04
overpass440100%-0.05
cache32167%-0.05
train31233%-0.07
vertigo21150%-0.04
nuke110100%-0.04
office1010%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (47% over 32). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7Matches
43%Win rate
0.55Avg K/D
44.8ADR
32%Headshot %

Clutches & streaks

67%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno333%0.488.3
Mirage20%0.438.5
Ancient1100%0.756.0
Overpass1100%0.8310.0

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.

15.7%Headshot accuracy
25.9%Accuracy (enemy spotted)
31.7%Spray accuracy
69.0%Counter-strafing
11.0°Preaim
662msReaction time
22.0%T opening success
23.0%CT opening success
0.53Enemies flashed / flash
7.1%Flash assists
5.36HE damage / grenade
14.05Flashes / 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 22.0052% — below the 40% mark we flag

Spend your practice time on Inferno

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

47% win rate across 32 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–16-0.0315%17 Aug
ancient12–16-0.0622%17 Aug
inferno13–8-0.079%13 Aug
ancient10–13-0.0625%13 Aug
inferno19–16-0.078%11 Aug
mirage12–16-0.0212%11 Aug
anubis13–5-0.084%11 Aug
mirage13–2-0.0340%5 Aug
inferno13–7-0.0118%5 Aug
inferno13–10.1116%5 Aug
mirage10–13-0.0736%5 Aug
vertigo9–13-0.0829%30 Jul
inferno8–13-0.084%30 Jul
dust212–120.0212%30 Jul
inferno13–9-0.0614%30 Jul
anubis13–30.0110%29 Jul
dust213–6-0.0220%29 Jul
mirage13–9-0.0714%27 Jul
overpass13–4-0.0414%27 Jul
dust213–9-0.0217%26 Jul
mirage13–16-0.0617%20 Jul
inferno13–00.058%20 Jul
mirage13–8-0.0323%18 Jul
inferno13–6-0.0414%18 Jul
overpass13–7-0.049%17 Jul
inferno13–5-0.055%17 Jul
anubis13–10-0.073%17 Jul
mirage16–14-0.0413%17 Jul
dust216–14-0.1018%17 Jul
mirage5–13-0.0719%12 Jul
inferno4–13-0.0815%7 Jul
mirage6–13-0.0714%6 Jul
mirage13–11-0.0510%4 Jul
mirage10–13-0.0322%2 Jul
anubis13–10-0.078%2 Jul
mirage13–5-0.098%30 Jun
inferno12–16-0.0513%29 Jun
inferno10–13-0.058%27 Jun
mirage16–14-0.0430%27 Jun
inferno10–13-0.104%24 Jun
mirage7–13-0.0921%24 Jun
mirage8–13-0.0419%23 Jun
overpass13–7-0.049%22 Jun
anubis6–130.0119%22 Jun
inferno6–13-0.0823%22 Jun
mirage13–5-0.023%22 Jun
cache13–5-0.0410%19 Jun
mirage13–7-0.0314%17 Jun
train13–7-0.0412%17 Jun
train5–13-0.0914%17 Jun
inferno11–13-0.0214%15 Jun
inferno16–14-0.0818%13 Jun
anubis13–8-0.0129%12 Jun
mirage13–16-0.064%12 Jun
inferno3–130.0518%10 Jun
inferno8–13-0.0420%10 Jun
vertigo13–60.0110%10 Jun
dust213–4-0.0112%10 Jun
mirage13–8-0.0319%8 Jun
ancient16–14-0.0623%6 Jun
inferno10–13-0.0811%2 Jun
dust215–19-0.0515%28 May
inferno13–3-0.054%28 May
inferno13–4-0.109%26 May
inferno13–100.0116%24 May
anubis13–100.005%24 May
anubis13–6-0.099%24 May
dust29–13-0.0313%24 May
ancient13–7-0.078%24 May
mirage13–10-0.0620%24 May
nuke13–4-0.048%22 May
mirage11–13-0.0310%22 May
anubis13–4-0.0617%22 May
ancient13–8-0.0724%22 May
inferno9–13-0.087%19 May
dust210–13-0.095%19 May
inferno8–8-0.1719%17 May
ancient13–6-0.0616%10 May
mirage8–13-0.0422%8 May
inferno11–13-0.054%5 May
ancient13–0-0.0713%2 May
mirage11–13-0.1213%2 May
cache13–110.0123%1 May
inferno13–5-0.059%30 Apr
cache5–13-0.110%28 Apr
anubis13–8-0.0120%26 Apr
inferno12–120.0618%19 Apr
train3–13-0.0724%19 Apr
mirage10–13-0.098%16 Apr
inferno9–13-0.1013%14 Apr
anubis13–7-0.0212%5 Apr
inferno13–16-0.0611%5 Apr
inferno19–16-0.0515%22 Mar
anubis13–10-0.097%22 Mar
anubis13–5-0.0621%26 Feb
mirage13–7-0.100%17 Dec
office6–13-0.0718%7 Dec
overpass13–7-0.089%30 Nov
inferno13–9-0.0523%23 Nov
ancient13–10.0025%23 Nov

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 →