Bate Estaca

Bate Estaca — CS2 Stats

BR76561199786767685[U:1:1826501957]Steam profile ↗✓ No bans

325Tracked matches47%Win rate2025Tracked since
892Hours in CS36Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating6,929Light Blue band · top ~69.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 6,929 +1,091 19 Sept – 23 Oct · 20 days played
4,0547,678peak 7,67819 Sept23 Oct
7,888Peak Premier in tracked matches
20Days played since 2026-09-19

Premier CS Rating

  • 749 below peak (7,678)
  • +1,792 over 30 days · improving
  • Next: Blue band at 10,000 — 3,071 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-24

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches87——
Win rate46%——
K/D0.84——
Headshot %39%——

Measured 24 Sep 2026 → 25 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate41.9%39.9%42.0%meets
Shot accuracy0.0%7.0%9.6%9.6% short
Kill/death ratio0.710.920.980.26 short
Match win rate42.2%42.3%43.8%1.6% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGBate EstacaPREMIER6,929 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim53
Positioning63
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY45–55Last 10045%Win rateWWLWLLLWWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · −3.4pp headshot accuracy · +126ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 837ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 858ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 795ms

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: Positional Player — Positioning stands above the rest of this profile (+1 against its own average).

Aim5.3
Utility5.7
Positioning6.3
Opening Duels3.9

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

Twistzz

Plays most like Twistzz 73% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 808ms 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
Positioning6.3
Utility5.7
Mechanics8.1
Opening Duels5.7
Win Impact3.9

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time791ms+27ms
first ⅓ avg 764ms → last ⅓ avg 791ms
Headshot accuracy14.5%+2.5%
first ⅓ avg 12.0% → last ⅓ avg 14.5%

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

0.12Best match rating · 13–7 · mirage, 16 Oct →
33%Best headshot accuracy · 3–13 · mirage, 21 Oct →
531msFastest reaction time · 13–3 · inferno, 15 Oct →
13–2Biggest win · mirage, 14 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
9–11In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 58% over 12ancientWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA3117–1455%-0.01
dust2C198–1142%-0.03
nukeA127–558%-0.01
cacheB126–650%-0.02
ancientD112–918%-0.01
anubisD92–722%-0.04
infernoB63–350%-0.01

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.

Lifetime stats

16,208Lifetime kills
0.71K/D
1,252Matches
42.2%Match win rate
41.9%Headshot % · Top 50% of Light Blue band
0.0%Shot accuracy
1,839MVPs
483Hours (in match)
1,350Bombs planted
181Bombs defused

Most-used weapons

Lifetime map wins

2,610dust2
1,519inferno
1,040nuke
134train
69vertigo
34office
2ar_shoots

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.

14.3%Headshot accuracy
38.5%Accuracy (enemy spotted)
38.4%Spray accuracy
86.5%Counter-strafing
10.9°Preaim
808msReaction time
48.0%T opening success
57.8%CT opening success
0.62Enemies flashed / flash
6.0%Flash assists
8.15HE damage / grenade
10.38Flashes / 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 14.3177% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 808.4961ms — above the 700ms mark we flag

    Aim Training →
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 & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–110.0113%23 Oct →
ancient13–70.0411%23 Oct →
anubis10–13-0.0611%23 Oct →
anubis13–8-0.0511%23 Oct →
anubis2–13-0.0930%23 Oct →
dust210–13-0.0611%21 Oct →
nuke10–130.015%21 Oct →
mirage13–9-0.023%21 Oct →
mirage13–6-0.0218%21 Oct →
dust216–12-0.0015%21 Oct →
dust213–10-0.1012%21 Oct →
mirage3–13-0.0033%21 Oct →
mirage3–13-0.0817%21 Oct →
dust213–16-0.0821%21 Oct →
cache8–13-0.078%18 Oct →
dust23–13-0.0623%18 Oct →
mirage13–16-0.0121%18 Oct →
cache16–14-0.015%18 Oct →
nuke11–13-0.0013%18 Oct →
cache3–13-0.0610%17 Oct →
mirage4–13-0.0213%17 Oct →
mirage16–120.0216%17 Oct →
mirage13–70.1217%16 Oct →
mirage13–10-0.0213%16 Oct →
ancient9–130.0122%16 Oct →
anubis9–130.0313%16 Oct →
mirage9–13-0.0317%16 Oct →
cache13–7-0.0214%16 Oct →
mirage13–3-0.0015%15 Oct →
nuke13–4-0.0415%15 Oct →
nuke13–3-0.0213%15 Oct →
dust212–160.0413%15 Oct →
inferno13–30.017%15 Oct →
ancient5–13-0.0215%15 Oct →
mirage13–11-0.0014%15 Oct →
nuke10–13-0.0310%15 Oct →
dust213–11-0.059%14 Oct →
inferno13–7-0.0012%14 Oct →
cache13–70.0611%14 Oct →
mirage13–20.0414%14 Oct →
inferno11–13-0.0814%13 Oct →
dust213–8-0.0820%13 Oct →
cache13–11-0.018%12 Oct →
mirage6–13-0.0514%12 Oct →
nuke13–80.0110%12 Oct →
cache13–9-0.057%12 Oct →
mirage16–14-0.0712%10 Oct →
mirage13–6-0.0213%10 Oct →
anubis6–13-0.0415%10 Oct →
anubis13–9-0.0218%10 Oct →
dust213–60.0111%10 Oct →
mirage13–30.0220%10 Oct →
mirage6–13-0.0012%10 Oct →
ancient5–130.0212%9 Oct →
mirage13–11-0.0312%9 Oct →
nuke13–70.019%9 Oct →
dust214–16-0.0314%9 Oct →
dust213–6-0.022%8 Oct →
ancient12–16-0.0015%8 Oct →
dust29–13-0.078%8 Oct →
dust211–13-0.0115%8 Oct →
ancient7–13-0.069%8 Oct →
mirage13–6-0.0512%8 Oct →
dust211–130.0112%3 Oct →
cache11–13-0.019%3 Oct →
mirage13–40.0813%2 Oct →
dust27–13-0.024%2 Oct →
ancient13–70.018%2 Oct →
dust28–13-0.0320%1 Oct →
nuke13–70.019%1 Oct →
anubis2–13-0.0615%1 Oct →
cache4–13-0.0410%1 Oct →
ancient9–130.029%1 Oct →
mirage9–130.0315%1 Oct →
dust213–10-0.0212%30 Sept →
anubis11–13-0.0211%30 Sept →
ancient11–13-0.018%30 Sept →
mirage7–130.0310%30 Sept →
nuke13–10-0.0016%24 Sept →
nuke11–13-0.0011%24 Sept →
nuke13–4-0.0113%24 Sept →
cache8–130.0024%24 Sept →
mirage6–13-0.048%24 Sept →
mirage13–4-0.0210%24 Sept →
mirage16–14-0.007%23 Sept →
cache10–13-0.057%23 Sept →
nuke12–16-0.0512%22 Sept →
mirage11–13-0.049%22 Sept →
mirage10–13-0.049%22 Sept →
inferno9–130.1017%22 Sept →
mirage13–11-0.0213%22 Sept →
inferno16–12-0.0419%22 Sept →
cache13–6-0.0315%22 Sept →
ancient12–16-0.037%19 Sept →
mirage8–130.0020%19 Sept →
anubis7–13-0.048%19 Sept →
dust29–13-0.0410%19 Sept →
ancient4–13-0.0615%19 Sept →
inferno11–13-0.0213%19 Sept →
mirage8–13-0.015%19 Sept →

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 →

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