Esta Loca.

Esta Loca. — CS2 Stats

SK76561198976371771[U:1:1016106043]Steam profile ↗✓ No bans

355Tracked matches56%Win rate2020Tracked since
1,701Hours in CS5Hrs last 2 wks
CSDB Rating5.5 SolidSupport
Premier CS Rating13,052Blue band · top ~38.7% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Aug 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

−659Premier CS Rating · 13,711 → 13,052
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 36 days played since 12 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 13,052 +1,355 4 Jun17 Sept · 28 days played
11,19815,107peak 15,1074 Jun17 Sept
15,107Peak Premier in tracked matches
36Days played since 2026-05-12

Premier CS Rating

  • 2,055 below peak (15,107)
  • -1,418 over 90 days
  • Next: Purple band at 15,000 1,948 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=18,772), 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 rate45.4%41.9%44.3%above
Shot accuracy15.1%9.6%11.8%above
Kill/death ratio1.010.981.030.02 short
Match win rate39.9%43.8%45.2%5.3% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGEsta Loca.PREMIER13,052 · Blue bandcsdb.gg/stats

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Performance scores

Aim67
Positioning49
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY52426Last 10052%Win rateLWLWTWWWLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +3.7pp headshot accuracy · −18ms reaction

Win rate 0pp 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

  • 221 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 576ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 646ms

Last 20

  • 1082 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 655ms

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: SupportUtility contribution stands above the rest of this profile (+1 against its own average).

Aim6.7
Utility5.2
Positioning4.9
Opening Duels2.5

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.

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

NiKo

Plays most like NiKo 90% 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

T-side openings. Opening success drops from 49% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 655ms 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

Aim6.7
Positioning4.9
Utility5.2
Mechanics7.6
Opening Duels2.4
Win Impact6.9

Composite 5.5/10 (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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time659ms+25ms
first ⅓ avg 635ms → last ⅓ avg 659ms
Headshot accuracy15.8%−2.3%
first ⅓ avg 18.1% → last ⅓ avg 15.8%

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

0.16Best match rating · 13–5 · mirage, 9 Jul
50%Best headshot accuracy · 13–1 · dust2, 20 Jun
445msFastest reaction time · 13–7 · nuke, 17 Sept
13–1Biggest win · mirage, 7 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
410In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 61% over 23ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB25121348%0.02
dust2A2314961%0.01
mirageA2011955%-0.00
anubisC125742%-0.01
ancientC83538%-0.00
nuke42250%0.02
cache43175%0.02
overpass42250%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,474Lifetime kills
1.01K/D · Top 50% of Blue band
2,096Matches
39.9%Match win rate
45.4%Headshot % · Top 50% of Blue band
15.1%Shot accuracy · Top 25% of Blue band
4,991MVPs
828Hours (in match)
2,821Bombs planted
525Bombs defused

Most-used weapons

Lifetime map wins

3,337inferno
3,021dust2
727train
581nuke
296vertigo
75cbble
23office
19lake

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

Faceit stats

Combat

387Matches
51%Win rate
0.93Avg K/D
ADR
40%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWL

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.

14.9%Headshot accuracy
37.1%Accuracy (enemy spotted)
38.0%Spray accuracy
84.2%Counter-strafing
9.9°Preaim
655msReaction time
27.9%T opening success
49.1%CT opening success
0.42Enemies flashed / flash
0.8%Flash assists
11.03HE damage / grenade
7.66Flashes / 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 14.9092% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4238 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 27.9444% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke5–130.0131%17 Sept
nuke13–70.0413%17 Sept
mirage5–130.0027%8 Aug
mirage13–5-0.0020%8 Aug
dust212–12-0.0320%7 Aug
mirage13–1-0.0111%7 Aug
cache13–60.0718%7 Aug
inferno13–50.0913%7 Aug
inferno9–13-0.0112%30 Jul
mirage11–130.0113%27 Jul
inferno16–120.059%27 Jul
mirage14–16-0.0112%24 Jul
anubis13–7-0.026%24 Jul
anubis11–13-0.0318%24 Jul
mirage6–13-0.0320%23 Jul
cache4–130.0116%21 Jul
dust213–100.0212%20 Jul
anubis15–150.0112%20 Jul
mirage13–11-0.0211%20 Jul
cache13–70.0524%20 Jul
nuke6–13-0.0114%20 Jul
dust213–100.0513%20 Jul
inferno15–150.0110%17 Jul
mirage3–13-0.0511%17 Jul
anubis13–10-0.0113%15 Jul
dust210–13-0.0416%13 Jul
inferno13–80.039%13 Jul
inferno3–13-0.0123%13 Jul
ancient13–4-0.0213%13 Jul
inferno13–30.0222%13 Jul
dust213–50.0330%12 Jul
mirage9–13-0.0912%11 Jul
inferno3–13-0.0019%11 Jul
dust213–10-0.0110%11 Jul
dust210–13-0.0624%9 Jul
mirage13–50.1623%9 Jul
ancient13–100.039%9 Jul
dust213–16-0.0311%9 Jul
anubis13–70.0513%9 Jul
inferno12–120.0912%8 Jul
anubis11–13-0.057%6 Jul
mirage13–100.0223%5 Jul
dust213–9-0.0525%5 Jul
inferno11–13-0.0410%5 Jul
dust213–10-0.0122%4 Jul
anubis15–15-0.0414%4 Jul
inferno13–40.0615%4 Jul
mirage13–9-0.049%3 Jul
inferno13–100.0317%3 Jul
overpass13–50.0112%3 Jul
mirage13–10-0.0329%3 Jul
inferno10–13-0.0124%3 Jul
dust28–130.0119%3 Jul
dust28–130.0427%27 Jun
anubis14–160.0421%24 Jun
mirage4–13-0.0626%24 Jun
dust213–10.0525%23 Jun
inferno15–150.0113%22 Jun
inferno4–130.0320%20 Jun
ancient14–160.0020%20 Jun
dust213–60.0316%20 Jun
dust27–130.0220%20 Jun
inferno16–14-0.0121%20 Jun
dust213–10.0450%20 Jun
ancient11–13-0.0312%18 Jun
mirage13–100.0618%18 Jun
inferno13–110.0718%18 Jun
mirage13–80.0426%18 Jun
dust213–4-0.0014%18 Jun
overpass8–13-0.0113%17 Jun
inferno13–5-0.0226%17 Jun
ancient9–13-0.0220%17 Jun
ancient7–13-0.0415%17 Jun
ancient13–40.0926%17 Jun
inferno10–130.0422%17 Jun
inferno11–13-0.0115%16 Jun
overpass8–130.0225%16 Jun
anubis13–80.0220%16 Jun
mirage10–130.0018%16 Jun
dust213–60.0517%16 Jun
anubis13–8-0.0912%15 Jun
inferno13–60.0114%14 Jun
dust213–5-0.0216%14 Jun
anubis7–130.0313%14 Jun
mirage13–3-0.0126%14 Jun
anubis7–13-0.0313%12 Jun
dust29–13-0.0323%12 Jun
overpass13–80.0025%12 Jun
ancient6–13-0.0411%12 Jun
nuke13–30.0213%12 Jun
inferno11–13-0.0115%11 Jun
dust213–110.0319%11 Jun
inferno13–60.0422%11 Jun
dust29–130.0625%10 Jun
inferno13–60.0215%4 Jun
inferno4–13-0.0521%13 May
dust29–30.0311%13 May
mirage2–13-0.0318%12 May
mirage13–100.0519%12 May
cache13–8-0.0311%12 May

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 →