Ernesto Flores

Ernesto Flores — CS2 Stats

76561199258012807[U:1:1297747079]Steam profile ↗✓ No bans

854Tracked matches43%Win rate2022Tracked since
CSDB Rating5.8 SolidSupport
Premier CS Rating15,477Purple band · top ~26.5% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). 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: 15,477 +3,468 25 Mar – 13 Oct · 22 days played
12,00919,670peak 19,67025 Mar13 Oct
19,957Peak Premier in tracked matches
28Days played since 2026-03-25

Premier CS Rating

  • 4,193 below peak (19,670)
  • -3,747 over 30 days · declining
  • Next: Pink band at 20,000 — 4,523 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.

Share this profile

CSDB.GGErnesto FloresFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER15,477 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning52
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateLLLLLWWWWT

Last 10 vs previous 10: +10pp win rate · −0.05 avg rating · +10.0pp headshot accuracy · +117ms reaction

Win rate +10pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 705ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 625ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 566ms

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 (+2.1 against its own average).

Aim7.5
Utility6.1
Positioning5.2
Opening Duels0.8

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 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 559ms 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

Aim7.5
Positioning5.2
Utility6.1
Mechanics7.3
Opening Duels2.7
Win Impact2.6

Composite 5.8/10 (Solid), 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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time549ms−126ms
first ⅓ avg 675ms → last ⅓ avg 549ms
Headshot accuracy16.6%−0.0%
first ⅓ avg 16.6% → last ⅓ avg 16.6%

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

0.24Best match rating · 13–4 · anubis, 1 Oct →
50%Best headshot accuracy · 13–0 · ancient, 4 Oct →
383msFastest reaction time · 0–10 · ancient, 1 Oct →
13–0Biggest win · ancient, 4 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L5Current streak
3–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 79% over 19nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2112–957%0.02
mirageS1915–479%0.04
dust2C135–838%-0.02
ancientB115–645%-0.01
anubisB105–550%0.03
nukeD72–529%0.00
vertigoC73–443%-0.01
cacheC52–340%-0.00
office—41–325%0.05
overpass—31–233%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke 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.

16.4%Headshot accuracy
38.4%Accuracy (enemy spotted)
43.8%Spray accuracy
82.8%Counter-strafing
12.4°Preaim
559msReaction time
45.4%T opening success
36.4%CT opening success
0.53Enemies flashed / flash
9.5%Flash assists
11.92HE damage / grenade
9.25Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.367° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Nuke

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 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust21–13-0.0736%13 Oct →
nuke3–13-0.047%13 Oct →
dust210–13-0.0340%13 Oct →
dust23–130.0327%13 Oct →
anubis9–130.0116%12 Oct →
dust213–10-0.0518%10 Oct →
inferno13–11-0.0211%7 Oct →
vertigo13–1-0.0117%7 Oct →
ancient13–00.0250%4 Oct →
overpass12–12-0.0410%1 Oct →
nuke13–10.0522%1 Oct →
inferno13–60.0718%1 Oct →
vertigo1–8-0.020%1 Oct →
ancient0–10-0.070%1 Oct →
anubis13–40.2423%1 Oct →
mirage9–130.0418%25 Sept →
vertigo10–130.0615%25 Sept →
vertigo8–130.0610%25 Sept →
cache6–13-0.0516%21 Sept →
ancient11–13-0.0610%16 Sept →
inferno8–13-0.066%16 Sept →
inferno13–6-0.0110%15 Sept →
inferno13–80.0219%15 Sept →
cache13–40.0214%15 Sept →
ancient6–11-0.0620%15 Sept →
inferno15–15-0.049%15 Sept →
anubis9–13-0.0116%15 Sept →
ancient13–70.0515%15 Sept →
nuke3–13-0.0120%13 Sept →
mirage13–70.0818%13 Sept →
ancient13–160.0713%13 Sept →
mirage13–80.0717%13 Sept →
cache4–130.017%13 Sept →
dust214–160.0412%12 Sept →
anubis13–2-0.0421%12 Sept →
ancient16–12-0.045%12 Sept →
inferno13–0-0.0450%12 Sept →
nuke13–160.0214%12 Sept →
dust21–13-0.0210%12 Sept →
inferno13–90.0422%9 Sept →
vertigo13–10-0.0511%9 Sept →
ancient0–13-0.110%9 Sept →
anubis13–80.0917%29 Aug →
office7–130.1023%29 Aug →
office13–4-0.0019%6 May →
cache8–130.0012%6 May →
cache13–70.0016%6 May →
inferno3–13-0.046%4 May →
mirage13–80.0722%4 May →
anubis0–8-0.1615%4 May →
dust29–13-0.0517%4 May →
inferno13–80.0517%22 Apr →
inferno6–130.069%22 Apr →
anubis14–16-0.0212%22 Apr →
inferno13–70.0416%22 Apr →
inferno13–20.0415%22 Apr →
mirage13–20.049%21 Apr →
office12–120.0524%16 Apr →
inferno12–120.0522%16 Apr →
mirage4–13-0.0613%16 Apr →
dust213–90.0022%16 Apr →
overpass0–3-0.130%11 Apr →
mirage13–80.036%11 Apr →
ancient13–5-0.0514%11 Apr →
vertigo13–8-0.009%11 Apr →
dust23–13-0.1212%11 Apr →
anubis13–110.0121%11 Apr →
overpass13–11-0.028%10 Apr →
mirage13–50.0413%10 Apr →
inferno13–50.1022%9 Apr →
mirage13–10-0.0012%8 Apr →
nuke13–4-0.0311%8 Apr →
mirage11–13-0.0013%7 Apr →
mirage13–20.0119%7 Apr →
ancient13–00.0023%7 Apr →
mirage13–50.0223%7 Apr →
dust213–40.0117%7 Apr →
inferno1–10-0.0333%7 Apr →
dust213–3-0.0317%7 Apr →
mirage13–5-0.065%7 Apr →
mirage13–20.0511%5 Apr →
ancient9–130.1032%5 Apr →
mirage13–80.1111%5 Apr →
inferno14–160.1013%5 Apr →
anubis4–130.1012%5 Apr →
dust213–60.0725%5 Apr →
nuke13–16-0.0224%5 Apr →
vertigo5–13-0.1022%2 Apr →
inferno2–13-0.110%2 Apr →
office2–130.0514%2 Apr →
dust20–13-0.084%2 Apr →
mirage13–100.0027%2 Apr →
mirage13–50.1526%31 Mar →
inferno13–40.0719%31 Mar →
anubis13–40.0414%31 Mar →
mirage8–130.0311%31 Mar →
mirage13–40.1615%31 Mar →
nuke15–150.0519%31 Mar →
inferno13–90.0514%25 Mar →
inferno15–150.0121%25 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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