AcapulcoGold — CS2 Stats

76561198965152873[U:1:1004887145]

271Tracked matches46%Win rate2023Tracked since
909Hours in CS7Hrs last 2 wks
CSDB Rating4.3 Developing
Premier CS Rating12,749Blue band · top ~40.3% of ranked players (population est.)
CSDB Leaderboard#16407 of 23786 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate39.4%41.7%44.1%4.6% short
Shot accuracy1.8%8.8%11.4%9.7% short
Kill/death ratio0.750.971.030.28 short
Match win rate43.5%43.8%45.2%1.7% short

This profile sits below the typical Purple band player on every metric we can compare.

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

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CSDB.GGAcapulcoGoldPREMIER12,749 · Blue bandcsdb.gg/stats

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Performance scores

Aim53
Positioning34
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY47467Last 10047%Win rateLLLWWWLLWL

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

Player DNA

Aim5.3
Aggression2.8
Utility5.1
Positioning3.4
Opening Duels0.2

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 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 679ms 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

Aim5.3
Positioning3.4
Utility5.1
Mechanics7.1
Opening Duels0.7
Win Impact3.8

Composite 4.3/10 (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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time676ms−14ms
first ⅓ avg 690ms → last ⅓ avg 676ms
Headshot accuracy12.4%−0.9%
first ⅓ avg 13.3% → last ⅓ avg 12.4%

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

0.08Best rating — office 13–2
130Biggest win — ancient
5Longest win streak
L3Current streak
810In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 63% over 8dust2Weakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
nukeC26101638%-0.01
dust2D1441029%-0.03
ancientA148657%-0.02
infernoA127558%-0.03
overpassB105550%-0.02
cacheB84450%-0.01
mirageA85363%-0.04
anubisC52340%-0.03
eldorado1010%-0.11
office110100%0.08
train110100%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,523Lifetime kills
0.75K/D
1,170Matches
43.5%Match win rate
39.4%Headshot %
1.8%Shot accuracy
1,679MVPs
434Hours (in match)
1,421Bombs planted
163Bombs defused

Most-used weapons

Lifetime map wins

2,558nuke
1,753dust2
1,379inferno
614train
155vertigo
87italy
57office
14lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.8%Headshot accuracy
36.4%Accuracy (enemy spotted)
32.7%Spray accuracy
82.1%Counter-strafing
10.6°Preaim
679msReaction time
26.6%T opening success
35.3%CT opening success
0.68Enemies flashed / flash
6.6%Flash assists
8.13HE damage / grenade
4.97Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.8228% — below the 15% mark we flag

    Aim Training
  2. 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 26.6188% — below the 40% mark we flag

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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–13-0.079%25 Aug
inferno7–13-0.099%18 Aug
eldorado5–9-0.1113%18 Aug
dust213–11-0.0420%14 Aug
cache13–90.0123%14 Aug
nuke13–30.047%30 Jul
nuke14–16-0.0613%27 Jul
anubis7–13-0.0815%23 Jul
nuke13–110.0516%23 Jul
nuke3–13-0.0114%23 Jul
nuke13–100.0115%22 Jul
cache8–130.0111%21 Jul
nuke10–13-0.097%21 Jul
dust215–15-0.0425%21 Jul
nuke6–130.0212%17 Jul
inferno16–12-0.049%17 Jul
cache15–15-0.074%17 Jul
cache11–13-0.038%17 Jul
cache13–100.004%16 Jul
anubis11–13-0.027%14 Jul
inferno13–60.0129%14 Jul
nuke13–90.0111%14 Jul
ancient13–5-0.0119%14 Jul
cache13–8-0.0419%13 Jul
inferno11–13-0.0515%13 Jul
nuke13–10.016%13 Jul
nuke8–13-0.0712%13 Jul
nuke10–13-0.0812%13 Jul
dust27–13-0.0419%13 Jul
cache13–60.0311%13 Jul
ancient6–130.043%13 Jul
dust213–50.025%3 Jul
mirage13–9-0.017%12 May
dust26–130.0420%12 May
overpass13–8-0.0712%11 May
inferno13–70.0314%5 May
cache12–120.0114%5 May
overpass11–13-0.0110%4 May
dust28–13-0.0523%4 May
dust24–13-0.0415%29 Apr
mirage13–11-0.0214%27 Apr
ancient4–13-0.0410%21 Apr
ancient15–15-0.0516%14 Apr
dust210–13-0.0510%14 Apr
nuke15–15-0.029%14 Apr
inferno7–13-0.0310%13 Apr
nuke13–7-0.0712%13 Apr
nuke10–13-0.0214%13 Apr
dust213–11-0.0321%12 Apr
ancient8–13-0.0910%9 Apr
mirage8–13-0.0318%3 Apr
anubis7–13-0.0312%31 Mar
inferno13–8-0.0414%31 Mar
inferno11–13-0.0014%24 Mar
overpass6–13-0.074%24 Mar
anubis13–11-0.0312%24 Mar
mirage4–13-0.124%19 Mar
dust24–13-0.0617%19 Mar
inferno13–70.0210%19 Mar
dust27–13-0.068%19 Mar
anubis13–80.0115%15 Mar
nuke6–130.0832%15 Mar
ancient10–130.029%14 Mar
nuke15–15-0.0114%13 Mar
nuke13–30.0413%11 Mar
overpass13–40.0318%10 Mar
nuke10–13-0.039%7 Mar
nuke8–130.0313%24 Feb
ancient9–13-0.035%13 Feb
ancient13–8-0.048%12 Feb
overpass13–4-0.069%10 Feb
nuke13–60.0510%9 Feb
ancient13–7-0.0713%8 Feb
overpass13–100.0313%8 Feb
overpass6–13-0.0118%6 Feb
inferno13–6-0.0411%5 Feb
ancient13–11-0.019%4 Feb
nuke13–60.059%4 Feb
nuke9–13-0.026%29 Jan
mirage13–9-0.019%27 Jan
nuke11–13-0.069%26 Jan
overpass14–16-0.0113%23 Jan
dust28–13-0.048%23 Jan
inferno11–13-0.043%22 Jan
office13–20.0826%22 Jan
ancient13–00.0030%16 Jan
nuke7–13-0.0215%16 Jan
ancient13–10-0.0431%16 Jan
mirage13–11-0.029%16 Jan
dust213–7-0.0427%16 Jan
nuke13–4-0.0012%12 Jan
mirage4–13-0.0518%9 Jan
nuke15–15-0.0110%3 Jan
mirage16–13-0.0612%2 Jan
train13–70.0313%1 Jan
inferno16–14-0.0327%30 Dec
ancient13–60.0311%29 Dec
overpass11–13-0.058%23 Dec
overpass13–4-0.0015%22 Dec
ancient13–60.019%22 Dec

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 →