Opel enjoyer ♿

Opel enjoyer ♿ — CS2 Stats

NO76561198984058974[U:1:1023793246]Steam profile ↗✓ No bans

1,321Tracked matches32%Win rate2020Tracked since
1,567Hours in CS
CSDB Rating5.3 DevelopingSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,302 +564 28 Mar – 25 May · 30 days played
16,40119,293peak 19,29328 Mar25 May
19,650Peak Premier in tracked matches
44Days played since 2026-03-28

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
Matches19——
Win rate47%——
K/D0.95——
Headshot %54%——

Measured 29 Aug 2026 → 28 Sep 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.

Performance scores

Aim71
Positioning48
Utility63

0–100 skill scores via Leetify.

Recent form

COLD43–53–4Last 10043%Win rateWLWLLLWLLT

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −0.8pp headshot accuracy · +25ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 649ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 615ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 602ms

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 (+1.1 against its own average).

Aim7.1
Utility6.3
Positioning4.8
Opening Duels4.2
Clutch5.4

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

device

Plays most like device 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 624ms 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

Aim7.1
Positioning4.8
Utility6.3
Mechanics6.3
Opening Duels3.1
Win Impact0.0

Composite 5.3/10 (Developing), 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-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time623ms−9ms
first ⅓ avg 632ms → last ⅓ avg 623ms
Headshot accuracy24.5%+0.2%
first ⅓ avg 24.3% → last ⅓ avg 24.5%

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

0.13Best match rating · 13–6 · dust2, 1 May →
40%Best headshot accuracy · 9–1 · nuke, 20 Aug →
422msFastest reaction time · 13–3 · anubis, 9 Apr →
13–2Biggest win · nuke, 12 May →

Across the last 100 tracked matches.

Highlights

9Longest win streak
15–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 68% over 19mirageWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB2914–1548%0.00
nukeS1913–668%0.01
dust2B126–650%0.03
anubisB115–645%-0.00
mirageD91–811%-0.00
ancientD92–722%0.00
overpassD81–713%-0.01
cache—31–233%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,418Lifetime kills
1.03K/D · Top 50% of tracked players
3,635Matches
43.7%Match win rate
50.3%Headshot % · Top 25% of tracked players
9.2%Shot accuracy
10,078MVPs
1,567Hours (in match)
1,486Bombs planted
897Bombs defused

Most-used weapons

Lifetime map wins

9,674inferno
4,575nuke
3,780dust2
2,693vertigo
1,002train
329cbble
43lake
11stmarc

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

Faceit stats

Combat

353Matches
52%Win rate
0.96Avg K/D
84.4ADR
46%Headshot %

Clutches & streaks

47%1v1 clutch win
31%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno2962%1.0715.4
Ancient2458%1.1417.7
Nuke2458%1.0816.1
Mirage2352%1.0615.9
Vertigo1127%1.0918.9
Anubis944%1.0817.3
Dust2650%1.0015.3
Train475%0.7310.5

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.

24.2%Headshot accuracy
31.0%Accuracy (enemy spotted)
33.7%Spray accuracy
78.3%Counter-strafing
7.8°Preaim
624msReaction time
38.1%T opening success
46.9%CT opening success
0.64Enemies flashed / flash
5.0%Flash assists
14.34HE damage / grenade
7.49Flashes / 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

    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 38.1272% — 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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.0426%10 Sept →
inferno7–13-0.0238%8 Sept →
nuke13–70.0219%25 Aug →
overpass4–13-0.0826%24 Aug →
dust27–130.0124%24 Aug →
inferno12–16-0.0427%20 Aug →
nuke9–1-0.0440%20 Aug →
nuke8–13-0.0624%20 Aug →
mirage8–13-0.0014%19 Aug →
nuke15–150.0118%19 Aug →
inferno4–13-0.0138%19 Aug →
ancient16–140.0124%18 Aug →
inferno6–13-0.029%18 Aug →
anubis6–13-0.0636%18 Aug →
nuke3–130.0226%14 Aug →
inferno13–8-0.0420%14 Aug →
anubis8–130.0228%14 Aug →
ancient15–150.0718%12 Aug →
anubis10–13-0.0233%11 Aug →
cache5–130.0333%11 Aug →
nuke13–80.0122%11 Aug →
inferno13–10-0.0030%8 Aug →
inferno5–13-0.0418%8 Aug →
cache11–130.0232%8 Aug →
anubis3–13-0.0123%8 Aug →
mirage3–13-0.0511%29 Jul →
inferno11–130.0521%25 May →
ancient8–13-0.0218%25 May →
anubis13–11-0.0024%24 May →
nuke13–110.0422%24 May →
overpass13–110.0221%24 May →
overpass8–13-0.0133%23 May →
nuke13–11-0.0217%23 May →
mirage8–13-0.0516%21 May →
inferno8–13-0.0520%21 May →
anubis11–13-0.0236%18 May →
dust27–13-0.0623%18 May →
overpass7–130.0220%16 May →
inferno13–70.0118%16 May →
ancient4–130.0129%16 May →
anubis16–13-0.0121%15 May →
anubis11–13-0.0119%14 May →
ancient6–130.0421%14 May →
overpass8–13-0.0131%14 May →
inferno8–130.0221%14 May →
inferno10–130.0119%13 May →
dust216–130.0028%13 May →
nuke15–150.0218%13 May →
inferno8–13-0.0517%12 May →
nuke13–20.0531%12 May →
dust22–130.0331%9 May →
ancient13–16-0.0314%9 May →
inferno13–50.0328%9 May →
dust215–15-0.0513%2 May →
dust213–110.0318%2 May →
inferno13–60.0532%2 May →
inferno13–80.0024%1 May →
nuke13–70.0133%1 May →
dust213–60.1317%1 May →
cache13–110.0127%30 Apr →
anubis13–110.0135%28 Apr →
inferno13–8-0.0613%27 Apr →
nuke13–11-0.0323%27 Apr →
dust24–13-0.0526%26 Apr →
inferno13–30.1136%26 Apr →
nuke13–60.0827%26 Apr →
inferno6–13-0.0721%26 Apr →
nuke10–130.0027%23 Apr →
mirage11–13-0.0020%23 Apr →
dust213–110.0833%23 Apr →
nuke13–7-0.0227%21 Apr →
mirage6–13-0.0217%20 Apr →
inferno13–11-0.0225%20 Apr →
inferno14–160.0633%19 Apr →
nuke9–130.0631%19 Apr →
mirage7–130.0117%15 Apr →
inferno13–11-0.0527%15 Apr →
inferno13–80.0832%14 Apr →
mirage11–130.0213%14 Apr →
overpass7–130.0128%13 Apr →
inferno9–13-0.0621%13 Apr →
nuke13–80.0220%13 Apr →
dust213–80.0332%12 Apr →
mirage13–40.0613%10 Apr →
anubis13–50.0431%10 Apr →
inferno10–13-0.0121%10 Apr →
mirage10–130.0227%9 Apr →
anubis13–3-0.0036%9 Apr →
inferno10–130.0429%9 Apr →
dust216–140.0733%7 Apr →
inferno13–100.0331%7 Apr →
ancient5–13-0.0324%5 Apr →
overpass10–130.0325%3 Apr →
ancient9–13-0.065%3 Apr →
inferno13–11-0.0114%3 Apr →
nuke13–70.0825%3 Apr →
ancient13–110.0219%31 Mar →
dust29–130.1120%28 Mar →
overpass6–13-0.0630%28 Mar →
inferno13–70.0718%28 Mar →

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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