Renault Enjoyer

Renault Enjoyer — CS2 Stats

GS76561198150768106[U:1:190502378]Steam profile ↗✓ No bans

1,274Tracked matches57%Win rate2020Tracked since
3,166Hours in CS27Hrs last 2 wks
CSDB Rating7.1 StrongSupport
Premier CS Rating19,923Top 50% of 215,386 CSDB-tracked playersPurple band · top ~8.8% of ranked players (population est.)
CSDB Leaderboard#87878 of 261579 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 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: 19,923 -1,161 1 Aug – 12 Nov · 19 days played
16,64221,089peak 21,0891 Aug12 Nov
Faceit ELO: 1,801 +0 18 Sept – 28 Oct · 6 observations
1,8011,801peak 1,80118 Sept28 Oct
21,462Peak Premier in tracked matches
1,801Highest Faceit ELO seen on CSDB
21Days played since 2026-08-01

Faceit ELO

  • At peak — 1,801
  • 0 over 30 days · steady
  • Next: Level 10 at 2,001 — 200 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-18
  • Level 8 first seen 2026-09-18

Premier CS Rating

  • 1,166 below peak (21,089)
  • -1,105 over 30 days · declining
  • -1,153 over 90 days
  • Next: Pink band at 20,000 — 77 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-18
  • Purple band first seen 2026-09-18

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate50.6%44.4%46.9%above
Shot accuracy14.1%11.9%13.0%above
Kill/death ratio1.091.031.08meets
Match win rate49.0%45.2%46.7%above

Across every metric we can compare, this profile already matches the typical Pink band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGRenault EnjoyerPREMIER19,923 · Purple band30 DAYS0 ELOPEAK ELO1,801csdb.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

Aim82
Positioning59
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWLWLWWWLLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −2.5pp headshot accuracy · +60ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 624ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 645ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 615ms

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 (+1.4 against its own average).

Aim8.2
Utility6.6
Positioning5.9
Opening Duels4.6
Clutch3.6

Excellent counter-strafingEffective flashes

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

ZywOo

Plays most like ZywOo 94% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 633ms 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

Aim8.2
Positioning5.9
Utility6.6
Mechanics8.5
Opening Duels4.5
Win Impact7.4

Composite 7.1/10 (Strong), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time633ms−20ms
first ⅓ avg 653ms → last ⅓ avg 633ms
Headshot accuracy25.2%+1.0%
first ⅓ avg 24.1% → last ⅓ avg 25.2%

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

0.17Best match rating · 13–11 · cache, 8 Aug →
50%Best headshot accuracy · 9–13 · mirage, 8 Aug →
438msFastest reaction time · 13–4 · ancient, 1 Aug →
13–0Biggest win · nuke, 1 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 75% over 8infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB3416–1847%0.01
cacheB136–746%0.03
nukeA116–555%0.02
ancientC104–640%0.02
infernoD93–633%-0.00
dust2S86–275%0.02
anubis—42–250%-0.01
vertigo—43–175%0.02
train—42–250%0.08
overpass—31–233%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,048Lifetime kills
1.09K/D · Top 50% of Purple band
3,585Matches
49.0%Match win rate · Top 25% of Purple band
50.6%Headshot % · Top 25% of Purple band
14.1%Shot accuracy · Top 50% of Purple band
10,844MVPs
1,614Hours (in match)
3,153Bombs planted
1,018Bombs defused

Most-used weapons

AK-4736,298
AWP5,769
Knife1,048
FAMAS1,037

Lifetime map wins

3,585inferno
3,058dust2
2,082nuke
934train
747cbble
720vertigo
202lake
171militia

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

Faceit stats

Combat

501Matches
52%Win rate
1.16Avg K/D
80.6ADR
53%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage17358%1.2117.1
Ancient6255%1.0116.7
Nuke4657%1.1817.3
Inferno3842%1.1715.8
Overpass3447%1.0215.3
Dust23244%1.0716.7
Train2330%1.0114.3
Vertigo540%1.0114.4

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.

25.1%Headshot accuracy
35.5%Accuracy (enemy spotted)
39.5%Spray accuracy
88.1%Counter-strafing
9.5°Preaim
633msReaction time
42.4%T opening success
53.6%CT opening success
0.80Enemies flashed / flash
10.2%Flash assists
8.79HE damage / grenade
14.26Flashes / match

Recommended for you

Spend your practice time on Inferno

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–30.0816%12 Nov →
inferno8–130.0722%12 Nov →
cache13–9-0.0627%12 Nov →
anubis2–12-0.0626%12 Nov →
mirage16–140.0133%12 Nov →
mirage13–110.0622%11 Nov →
mirage13–110.0121%10 Nov →
mirage13–16-0.0118%10 Nov →
anubis11–13-0.0119%10 Nov →
nuke7–13-0.0227%10 Nov →
ancient9–13-0.0521%9 Nov →
ancient9–13-0.0519%9 Nov →
inferno16–13-0.0327%9 Nov →
dust213–90.0228%9 Nov →
dust213–11-0.0139%9 Nov →
dust213–4-0.0140%9 Nov →
dust211–130.0421%9 Nov →
dust213–60.1226%8 Nov →
inferno7–13-0.086%8 Nov →
mirage13–8-0.0328%8 Nov →
mirage11–130.0149%6 Nov →
nuke7–130.0727%6 Nov →
vertigo13–10.0717%6 Nov →
anubis13–80.0423%6 Nov →
cache10–13-0.0521%5 Nov →
vertigo13–110.0339%21 Sept →
mirage13–60.0424%30 Aug →
mirage12–120.0221%19 Aug →
mirage15–150.0215%18 Aug →
cache13–110.0827%17 Aug →
mirage6–13-0.0229%17 Aug →
mirage13–30.0423%17 Aug →
mirage13–70.1029%17 Aug →
nuke9–13-0.0218%17 Aug →
mirage13–60.0222%16 Aug →
mirage8–13-0.0148%16 Aug →
nuke13–50.0338%16 Aug →
nuke6–3-0.005%16 Aug →
cache7–130.0216%16 Aug →
cache13–110.0723%16 Aug →
inferno13–60.0130%15 Aug →
overpass11–130.1028%15 Aug →
mirage11–13-0.0433%15 Aug →
train7–130.1327%15 Aug →
nuke3–13-0.0032%15 Aug →
mirage13–30.1147%10 Aug →
cache7–13-0.0214%10 Aug →
dust213–7-0.0133%8 Aug →
mirage10–50.0029%8 Aug →
cache12–160.0632%8 Aug →
mirage8–130.0124%8 Aug →
mirage9–13-0.0531%8 Aug →
inferno5–130.0417%8 Aug →
cache13–110.1740%8 Aug →
mirage9–130.0050%8 Aug →
mirage3–130.0525%8 Aug →
ancient13–90.0420%8 Aug →
mirage7–13-0.059%8 Aug →
overpass12–120.0327%8 Aug →
cache1–13-0.0525%5 Aug →
mirage13–80.1731%5 Aug →
mirage4–13-0.0418%4 Aug →
mirage9–130.0632%4 Aug →
cache13–10-0.0021%4 Aug →
mirage13–110.0127%4 Aug →
ancient13–7-0.0215%4 Aug →
train13–110.0425%3 Aug →
mirage13–30.0525%3 Aug →
vertigo13–7-0.0126%3 Aug →
vertigo2–13-0.0337%3 Aug →
overpass13–40.0327%3 Aug →
inferno13–10-0.0318%3 Aug →
train4–130.0942%3 Aug →
nuke5–13-0.0018%2 Aug →
cache11–13-0.0629%2 Aug →
mirage13–60.0018%2 Aug →
ancient4–130.0322%2 Aug →
cache5–130.0537%2 Aug →
ancient11–130.0729%1 Aug →
inferno8–130.0213%1 Aug →
cache13–60.1625%1 Aug →
nuke16–130.0325%1 Aug →
nuke13–100.0625%1 Aug →
dust26–130.0231%1 Aug →
mirage10–130.1232%1 Aug →
mirage16–13-0.0124%1 Aug →
ancient1–13-0.0212%1 Aug →
nuke13–00.0834%1 Aug →
ancient5–13-0.0116%1 Aug →
ancient13–40.1415%1 Aug →
mirage10–130.0725%1 Aug →
nuke13–10-0.0115%1 Aug →
anubis13–9-0.0111%1 Aug →
inferno8–13-0.0122%1 Aug →
mirage13–9-0.0513%1 Aug →
mirage1–13-0.1220%1 Aug →
mirage7–13-0.0621%1 Aug →
dust213–50.0226%1 Aug →
inferno15–15-0.0130%1 Aug →
train13–90.0835%1 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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