El Shady Gato

El Shady Gato — CS2 Stats

76561198394840651[U:1:434574923]Steam profile ↗✓ No bans

908Tracked matches43%Win rate2020Tracked since
CSDB Rating3.4 LearningSupport
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (60 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 908
+3.6ppWin rate · 39.3% → 42.9%

Rating over time

Premier CS Rating: 12,945 -974 12 Mar – 28 Apr · 24 days played
12,69815,105peak 15,10512 Mar28 Apr
15,105Peak Premier in tracked matches
29Days played since 2026-03-12

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

Share this profile

CSDB.GGEl Shady GatoFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim30
Positioning39
Utility49

0–100 skill scores via Leetify.

Recent form

HOT45–52–3Last 10045%Win rateWWWLLWWWWL

Last 10 vs previous 10: +50pp win rate · +0.01 avg rating · −2.2pp headshot accuracy · −103ms reaction

Win rate up 50pp 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 -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 611ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 592ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 644ms

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: Support — Utility contribution stands above the rest of this profile (+1.7 against its own average).

Aim3.0
Utility4.9
Positioning3.9
Opening Duels0.9

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 67% 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

Reaction time. 653ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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
Positioning3.9
Utility4.9
Mechanics4.4
Opening Duels0.4
Win Impact2.6

Composite 3.4/10 (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+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time650ms−24ms
first ⅓ avg 674ms → last ⅓ avg 650ms
Headshot accuracy11.6%−3.8%
first ⅓ avg 15.4% → last ⅓ avg 11.6%

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

0.07Best match rating · 13–2 · mirage, 12 Sept →
35%Best headshot accuracy · 13–10 · dust2, 26 Sept →
375msFastest reaction time · 1–13 · dust2, 12 Sept →
13–0Biggest win · dust2, 2 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
10–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 67% over 18mirageWeakest map · 17% over 29
MapGradePlayedRecordWin rateAvg rating
dust2A3219–1359%-0.04
mirageD295–2417%-0.05
ancientB209–1145%-0.04
infernoS1812–667%-0.02
overpass—10–10%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 29). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

11.7%Headshot accuracy
29.0%Accuracy (enemy spotted)
31.3%Spray accuracy
69.7%Counter-strafing
11.1°Preaim
653msReaction time
29.3%T opening success
33.6%CT opening success
0.66Enemies flashed / flash
9.4%Flash assists
7.20HE damage / grenade
7.84Flashes / 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 11.6602% — 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 29.2693% — below the 40% mark we flag

Spend your practice time on Mirage

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

17% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0535%26 Sept →
ancient13–10-0.069%26 Sept →
inferno13–11-0.0410%26 Sept →
dust21–13-0.0813%12 Sept →
dust211–13-0.049%12 Sept →
mirage13–20.0720%12 Sept →
mirage13–10-0.063%12 Sept →
ancient13–10-0.013%21 Jul →
inferno13–7-0.017%21 Jul →
ancient4–13-0.066%20 Jul →
dust210–13-0.0622%20 Jul →
dust215–15-0.038%23 May →
mirage5–13-0.078%23 May →
dust213–60.0113%28 Apr →
overpass10–13-0.0412%28 Apr →
dust213–6-0.039%28 Apr →
inferno9–13-0.0820%11 Apr →
mirage11–13-0.0213%11 Apr →
ancient9–13-0.084%11 Apr →
mirage8–13-0.0329%9 Apr →
inferno13–10-0.016%9 Apr →
dust210–13-0.0423%9 Apr →
dust215–15-0.047%8 Apr →
mirage9–130.0116%8 Apr →
dust213–8-0.0414%8 Apr →
dust28–13-0.080%8 Apr →
mirage5–13-0.084%7 Apr →
mirage2–13-0.0811%7 Apr →
inferno11–130.025%7 Apr →
dust213–11-0.0114%6 Apr →
inferno16–130.0110%5 Apr →
dust213–8-0.0510%5 Apr →
mirage8–13-0.0411%5 Apr →
dust24–13-0.0316%5 Apr →
ancient13–10-0.046%5 Apr →
mirage3–13-0.0519%5 Apr →
dust213–11-0.0410%5 Apr →
ancient13–110.0311%4 Apr →
inferno7–130.0316%4 Apr →
inferno13–5-0.0117%4 Apr →
inferno13–4-0.0119%3 Apr →
inferno13–10.020%3 Apr →
mirage13–6-0.048%2 Apr →
dust213–8-0.046%2 Apr →
dust213–0-0.0417%2 Apr →
mirage7–13-0.0110%1 Apr →
inferno9–13-0.075%1 Apr →
dust26–13-0.0621%30 Mar →
mirage10–13-0.080%30 Mar →
mirage7–13-0.045%30 Mar →
inferno16–14-0.043%28 Mar →
mirage8–13-0.033%28 Mar →
ancient9–13-0.0513%28 Mar →
ancient11–13-0.0311%24 Mar →
mirage10–13-0.0510%24 Mar →
ancient13–110.0216%23 Mar →
inferno5–13-0.046%23 Mar →
dust216–12-0.054%23 Mar →
ancient13–90.0010%22 Mar →
inferno7–13-0.1215%22 Mar →
mirage3–13-0.0520%22 Mar →
ancient10–13-0.0210%22 Mar →
ancient13–11-0.075%22 Mar →
dust213–70.045%19 Mar →
dust213–8-0.0017%19 Mar →
mirage1–10-0.0725%19 Mar →
ancient13–16-0.067%19 Mar →
dust213–9-0.0913%18 Mar →
dust213–5-0.0420%18 Mar →
dust213–7-0.069%18 Mar →
mirage13–10-0.0617%18 Mar →
dust213–11-0.0218%17 Mar →
ancient8–13-0.099%17 Mar →
mirage6–13-0.094%17 Mar →
mirage6–13-0.089%17 Mar →
inferno13–70.0113%17 Mar →
mirage15–15-0.049%17 Mar →
ancient4–13-0.0618%17 Mar →
dust213–100.0332%16 Mar →
ancient1–13-0.0515%16 Mar →
dust213–80.0119%16 Mar →
dust210–13-0.0818%15 Mar →
mirage5–13-0.0621%15 Mar →
inferno13–100.0210%15 Mar →
inferno13–11-0.0412%15 Mar →
mirage7–13-0.077%15 Mar →
ancient16–130.0119%15 Mar →
dust23–13-0.0717%15 Mar →
ancient6–13-0.078%15 Mar →
dust213–6-0.0120%15 Mar →
mirage11–13-0.105%15 Mar →
mirage13–8-0.0317%14 Mar →
dust27–13-0.0620%14 Mar →
mirage9–13-0.0915%14 Mar →
mirage13–16-0.0622%13 Mar →
inferno13–11-0.0512%13 Mar →
mirage4–13-0.0119%13 Mar →
ancient13–7-0.0820%13 Mar →
dust26–13-0.0225%12 Mar →
ancient11–13-0.0318%12 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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