Castro

Castro — CS2 Stats

CU76561199496817539[U:1:1536551811]Steam profile ↗✓ No bans

1,586Tracked matches25%Win rate2023Tracked since
CSDB Rating3.8 LearningClutch Specialist
Premier CS Rating17,064Purple band · top ~20.2% of ranked players (population est.)
CSDB Leaderboard#17084 of 31146 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGCastroFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER17,064 · Purple bandcsdb.gg/stats

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Performance scores

Aim51
Positioning37
Utility50

0–100 skill scores via Leetify.

Recent form

COLD34624Last 10034%Win rateLLLLWLLLWL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim5.1
Aggression2.0
Utility5.0
Positioning3.7
Opening Duels0.0
Clutch10.0

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 75% 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. 623ms 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

Aim5.1
Positioning3.7
Utility5.0
Mechanics5.1
Opening Duels0.0
Win Impact0.0

Composite 3.8/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time623ms+13ms
first ⅓ avg 610ms → last ⅓ avg 623ms
Headshot accuracy15.0%−1.2%
first ⅓ avg 16.2% → last ⅓ avg 15.0%

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

0.13Best rating — mirage 13–3
133Biggest win — mirage
4Longest win streak
L4Current streak
67In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 48% over 21infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
cacheB24111346%0.00
dust2B21101148%-0.03
mirageD1551033%-0.00
anubisD103730%-0.05
nukeD92722%-0.03
infernoD81713%-0.02
ancientD81713%-0.03
train31233%-0.02
vertigo2020%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

13Matches
31%Win rate
0.97Avg K/D
83.2ADR
38%Headshot %

Clutches & streaks

71%1v1 clutch win
36%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage520%0.8513.8
Inferno3100%1.2615.0
Dust220%1.1417.5
Ancient10%0.8012.0
Nuke10%0.357.0
Anubis10%1.0827.0

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.

15.3%Headshot accuracy
31.1%Accuracy (enemy spotted)
33.6%Spray accuracy
73.0%Counter-strafing
9.4°Preaim
623msReaction time
24.1%T opening success
24.9%CT opening success
0.57Enemies flashed / flash
4.5%Flash assists
9.80HE damage / grenade
9.90Flashes / 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 24.1029% — 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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache6–130.0123%28 Aug
dust29–130.0116%27 Aug
mirage8–13-0.0320%27 Aug
anubis6–13-0.068%27 Aug
inferno13–100.0616%26 Aug
train5–13-0.0011%15 Aug
inferno5–13-0.0710%15 Aug
mirage11–13-0.038%15 Aug
dust213–9-0.0719%15 Aug
cache7–130.0211%15 Aug
dust213–90.008%12 Aug
mirage8–130.0612%12 Aug
nuke13–160.0212%12 Aug
mirage13–60.0611%12 Aug
cache10–13-0.0228%4 Aug
train12–12-0.0219%3 Aug
vertigo7–130.0720%3 Aug
cache10–13-0.0325%3 Aug
anubis7–130.0322%3 Aug
ancient6–130.0228%3 Aug
inferno2–130.0531%3 Aug
dust213–80.1116%3 Aug
ancient5–10-0.018%1 Aug
anubis5–13-0.109%31 Jul
dust215–15-0.0715%31 Jul
mirage10–13-0.093%31 Jul
dust213–10-0.0419%31 Jul
dust211–13-0.0510%30 Jul
cache16–13-0.049%30 Jul
mirage4–13-0.0714%30 Jul
ancient4–13-0.1110%30 Jul
vertigo11–13-0.0212%29 Jul
inferno1–13-0.1210%29 Jul
anubis13–7-0.0213%29 Jul
dust21–13-0.089%28 Jul
dust213–11-0.0014%28 Jul
mirage13–30.1320%28 Jul
dust213–90.0921%28 Jul
dust211–130.0426%28 Jul
nuke13–110.0316%28 Jul
mirage13–30.1012%28 Jul
dust213–60.0423%28 Jul
cache10–13-0.0124%28 Jul
dust28–13-0.0910%28 Jul
anubis1–13-0.139%28 Jul
cache13–9-0.0923%27 Jul
cache5–13-0.0225%27 Jul
mirage8–130.0020%27 Jul
dust213–50.0415%26 Jul
ancient10–13-0.0113%26 Jul
mirage1–13-0.060%26 Jul
nuke3–13-0.0711%26 Jul
mirage2–13-0.0217%26 Jul
dust25–20.0025%26 Jul
inferno4–130.0412%26 Jul
cache8–130.0110%26 Jul
nuke4–13-0.0811%26 Jul
cache11–13-0.0110%10 Jul
anubis7–13-0.048%10 Jul
nuke5–130.0211%10 Jul
cache9–13-0.0318%9 Jul
ancient13–10-0.0311%9 Jul
cache13–100.0018%9 Jul
cache13–11-0.0413%9 Jul
cache12–120.0326%8 Jul
cache13–100.0820%8 Jul
dust212–12-0.0420%7 Jul
cache11–13-0.0216%7 Jul
cache13–30.0612%7 Jul
anubis9–13-0.0615%30 Jun
dust25–13-0.0911%30 Jun
cache6–13-0.0521%25 Jun
inferno11–13-0.0511%25 Jun
anubis13–5-0.0314%25 Jun
nuke3–13-0.0519%24 Jun
mirage12–160.0214%24 Jun
train13–11-0.0324%23 Jun
mirage1–13-0.0819%23 Jun
nuke13–8-0.0315%23 Jun
mirage13–11-0.039%22 Jun
anubis13–7-0.038%22 Jun
dust213–11-0.0712%22 Jun
ancient7–13-0.0131%22 Jun
dust212–16-0.0916%22 Jun
inferno1–13-0.0515%22 Jun
nuke8–13-0.0725%22 Jun
ancient9–13-0.0619%22 Jun
dust27–13-0.0917%17 Jun
cache13–5-0.0220%11 Jun
nuke8–13-0.0610%7 May
inferno9–13-0.0512%7 May
cache13–60.0620%7 May
cache13–80.0313%4 May
cache13–90.0416%4 May
cache13–50.0110%4 May
cache8–130.0850%3 May
mirage13–9-0.0410%3 May
ancient3–13-0.0313%3 May
anubis10–13-0.0212%3 May
dust22–13-0.099%2 May

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 →