enriquegonzales59@aol.com

enriquegonzales59@aol.com — CS2 Stats

SV76561199847975321[U:1:1887709593]Steam profile ↗✓ No bans

184Tracked matches38%Win rate2025Tracked since
460Hours in CS45Hrs last 2 wks
CSDB Rating2.7 LearningPositional Player
FaceitLevel 4 · 938 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 938 → 938
+1Tracked matches · now 184
0.0ppWin rate · 37.9% → 37.9%

Rating over time

Premier CS Rating: 2,922 +1,589 11 Aug – 29 Jun · 36 days played
1,2543,239peak 3,23911 Aug29 Jun
Faceit ELO: 938 +0 6 Sept – 1 Oct · 3 observations
938938peak 9386 Sept1 Oct
3,239Peak Premier in tracked matches
938Highest Faceit ELO seen on CSDB
62Days played since 2025-08-11

Faceit ELO

  • At peak — 938
  • 0 over 30 days · steady
  • Next: Level 5 at 1,051 — 113 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-06
  • Level 3 first seen 2026-09-06

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 Level 4 among CSDB-tracked players (n=14,630), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate30.2%42.7%43.8%13.6% short
Shot accuracy0.0%11.2%12.0%12.0% short
Kill/death ratio0.810.991.020.21 short
Match win rate38.4%43.9%44.7%6.3% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGenriquegonzales59@aol.comFACEITLevel 4 · 938 ELOSTANDINGTop 81.0% of ranked30 DAYS0 ELOPEAK ELO938csdb.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

Aim32
Positioning45
Utility28

0–100 skill scores via Leetify.

Recent form

COLD33–60–7Last 10033%Win rateWLLLLLLLWL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +1.0pp headshot accuracy · −17ms reaction

Win rate down 20pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 8%
  • Avg reaction 690ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 702ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 710ms

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 (+2.3 against its own average).

Aim3.2
Utility2.8
Positioning4.5
Opening Duels1.5
Clutch0.0

Limited utility dependence

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

jL

Plays most like jL 74% 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. 731ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.2
Positioning4.5
Utility2.8
Mechanics3.7
Opening Duels0.9
Win Impact1.0

Composite 2.7/10 (Learning), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time720ms−23ms
first ⅓ avg 744ms → last ⅓ avg 720ms
Headshot accuracy10.6%+1.6%
first ⅓ avg 9.0% → last ⅓ avg 10.6%

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

0.13Best match rating · 13–4 · nuke, 13 Aug →
19%Best headshot accuracy · 13–8 · mirage, 14 Feb →
500msFastest reaction time · 3–13 · dust2, 30 Jan →
13–3Biggest win · nuke, 13 Jan →

Across the last 100 tracked matches.

Highlights

3Longest win streak
5–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 50% over 12anubisWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
nukeD2910–1934%-0.01
mirageD248–1633%-0.02
infernoB126–650%-0.01
dust2D102–820%-0.03
anubisD60–60%-0.03
ancientB63–350%0.01
vertigo—40–40%-0.02
overpass—31–233%-0.03
cache—21–150%-0.00
train—20–20%0.04
rush_001—11–0100%-0.01
grail—11–0100%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,837Lifetime kills
0.81K/D
401Matches
38.4%Match win rate
30.2%Headshot %
0.0%Shot accuracy
649MVPs
158Hours (in match)
328Bombs planted
76Bombs defused

Most-used weapons

Lifetime map wins

561nuke
527inferno
518dust2
125train
83vertigo
2ar_shoots

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

Faceit stats

Combat

4Matches
25%Win rate
0.28Avg K/D
36.8ADR
44%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust210%0.132.0
Overpass1100%0.4811.0
Mirage10%0.385.0
Train10%0.112.0

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.

11.1%Headshot accuracy
36.7%Accuracy (enemy spotted)
38.9%Spray accuracy
66.5%Counter-strafing
12.6°Preaim
731msReaction time
28.3%T opening success
37.5%CT opening success
0.39Enemies flashed / flash
5.0%Flash assists
7.61HE damage / grenade
3.04Flashes / 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 12.6464° — above the 12° mark we flag

    Aim Training →
  2. 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 11.062% — below the 15% mark we flag

    Aim Training →
  3. 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 731.3002ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Anubis

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
rush_0018–6-0.018%9 Oct →
inferno4–13-0.110%11 Sept →
dust28–13-0.0313%20 Aug →
anubis5–13-0.0012%27 Jul →
mirage2–13-0.096%29 Jun →
mirage6–13-0.1419%18 Jun →
nuke11–130.0110%15 Jun →
inferno3–13-0.0117%5 Jun →
mirage13–80.0712%26 May →
dust28–13-0.0616%26 May →
nuke9–13-0.0116%21 May →
inferno13–5-0.0011%21 May →
mirage9–13-0.0614%20 May →
mirage8–130.0111%18 May →
cache4–13-0.055%7 May →
cache13–110.0512%7 May →
nuke13–10-0.0111%6 May →
dust23–13-0.098%31 Mar →
mirage13–60.015%26 Mar →
anubis3–13-0.0010%24 Mar →
nuke13–90.0312%19 Mar →
dust213–100.0613%19 Mar →
train12–120.1210%4 Mar →
nuke11–130.0514%3 Mar →
inferno13–110.005%22 Feb →
anubis10–13-0.086%18 Feb →
nuke10–13-0.0012%18 Feb →
mirage13–100.008%16 Feb →
mirage13–8-0.0119%14 Feb →
mirage11–13-0.0212%13 Feb →
ancient10–2-0.059%13 Feb →
mirage13–5-0.0211%13 Feb →
mirage15–15-0.033%7 Feb →
ancient5–13-0.066%7 Feb →
mirage13–160.033%3 Feb →
anubis15–150.0611%31 Jan →
nuke9–130.018%31 Jan →
mirage10–13-0.013%30 Jan →
dust23–13-0.049%30 Jan →
ancient6–13-0.043%30 Jan →
nuke13–60.0210%30 Jan →
inferno7–130.0013%28 Jan →
dust213–40.0212%27 Jan →
ancient13–110.108%27 Jan →
dust213–16-0.043%27 Jan →
nuke3–13-0.0817%26 Jan →
nuke8–13-0.049%26 Jan →
mirage13–8-0.024%23 Jan →
anubis0–5-0.150%23 Jan →
nuke8–130.043%22 Jan →
anubis8–13-0.020%21 Jan →
dust28–10-0.076%20 Jan →
inferno13–10-0.046%19 Jan →
nuke13–6-0.008%19 Jan →
mirage2–13-0.0311%19 Jan →
overpass8–130.063%18 Jan →
overpass5–13-0.097%17 Jan →
mirage11–13-0.059%17 Jan →
nuke6–13-0.057%16 Jan →
mirage10–130.0111%16 Jan →
mirage2–13-0.1314%15 Jan →
ancient8–130.018%14 Jan →
nuke13–3-0.0311%13 Jan →
dust23–13-0.0312%13 Jan →
nuke11–13-0.0812%13 Jan →
mirage13–40.0812%12 Jan →
inferno13–10-0.034%12 Jan →
dust212–12-0.0211%12 Jan →
nuke13–6-0.0213%8 Jan →
nuke7–130.074%8 Jan →
nuke13–8-0.0414%7 Jan →
mirage15–15-0.049%7 Jan →
overpass16–13-0.075%6 Jan →
inferno13–30.128%5 Jan →
nuke13–50.0213%12 Dec →
vertigo0–13-0.107%12 Dec →
nuke7–13-0.025%18 Sept →
nuke6–13-0.075%8 Sept →
nuke8–13-0.027%3 Sept →
ancient13–30.0910%3 Sept →
nuke13–40.057%29 Aug →
vertigo4–13-0.0310%28 Aug →
inferno4–13-0.029%28 Aug →
inferno8–80.0011%28 Aug →
vertigo8–80.0312%26 Aug →
grail13–110.0010%26 Aug →
train3–13-0.054%24 Aug →
mirage6–13-0.109%23 Aug →
inferno9–00.027%18 Aug →
nuke11–13-0.077%18 Aug →
nuke3–13-0.080%14 Aug →
inferno5–13-0.0410%13 Aug →
nuke13–40.1315%13 Aug →
vertigo7–130.018%13 Aug →
nuke4–130.0118%12 Aug →
nuke3–13-0.069%12 Aug →
mirage11–13-0.084%11 Aug →
nuke7–13-0.0816%11 Aug →
mirage2–130.008%11 Aug →
mirage13–70.0313%11 Aug →

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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