F80 Enjoyer

F80 Enjoyer — CS2 Stats

76561199747750502[U:1:1787484774]Steam profile ↗✓ No bans

1,609Tracked matches39%Win rate2024Tracked since
642Hours in CS
CSDB Rating4.5 DevelopingSupport
Premier CS Rating17,981Purple band · top ~16.5% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (5 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: 17,981 -2,019 23 Sept – 26 Oct · 19 days played
17,69220,735peak 20,73523 Sept26 Oct
20,847Peak Premier in tracked matches
25Days played since 2026-09-23

Premier CS Rating

  • 2,754 below peak (20,735)
  • -2,019 over 30 days · declining
  • Next: Pink band at 20,000 — 2,019 to go
  • Reached: Pink band · 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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate44.0%43.8%44.8%meets
Shot accuracy0.0%12.0%12.4%12.4% short
Kill/death ratio1.011.021.030.02 short
Match win rate51.9%44.7%45.2%above

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGF80 EnjoyerFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER17,981 · Purple bandcsdb.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

Aim60
Positioning44
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY43–53–4Last 10043%Win rateWLWTWLLLWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −2.0pp headshot accuracy · +23ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 12%
  • Avg reaction 596ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 599ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 587ms

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 (+2.9 against its own average).

Aim6.0
Utility6.4
Positioning4.4
Opening Duels0.0
Clutch3.2

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

iM

Plays most like iM 73% 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. 564ms 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

Aim6.0
Positioning4.4
Utility6.4
Mechanics5.0
Opening Duels0.0
Win Impact1.4

Composite 4.5/10 (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-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time580ms+54ms
first ⅓ avg 526ms → last ⅓ avg 580ms
Headshot accuracy13.2%−1.8%
first ⅓ avg 14.9% → last ⅓ avg 13.2%

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

0.14Best match rating · 13–11 · inferno, 28 Oct →
32%Best headshot accuracy · 8–13 · train, 10 Oct →
375msFastest reaction time · 9–13 · dust2, 14 Oct →
13–2Biggest win · inferno, 25 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
11–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 67% over 6anubisWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC207–1335%-0.01
dust2C198–1142%-0.01
infernoB157–847%-0.01
cacheB126–650%-0.00
nukeB105–550%-0.01
anubisD103–730%0.01
ancientS64–267%-0.04
train—41–325%-0.01
overpass—21–150%0.01
office—10–10%0.04
vertigo—11–0100%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,539Lifetime kills
1.01K/D
1,640Matches
51.9%Match win rate · Top 10% of Level 5 players
44.0%Headshot % · Top 50% of Level 5 players
0.0%Shot accuracy
3,525MVPs
642Hours (in match)
2,533Bombs planted
398Bombs defused

Most-used weapons

Lifetime map wins

3,010dust2
2,308inferno
1,940nuke
650vertigo
632train
42office
20italy
19ar_shoots

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

Faceit stats

Combat

33Matches
48%Win rate
0.89Avg K/D
67.1ADR
42%Headshot %

Clutches & streaks

36%1v1 clutch win
22%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage933%0.7612.0
Dust2850%0.7310.6
Anubis560%1.2613.2
Ancient450%0.9612.5
Inferno250%0.506.0
Nuke250%1.3018.0
Overpass250%1.1115.5
Vertigo1100%0.8214.0

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.

12.7%Headshot accuracy
33.6%Accuracy (enemy spotted)
41.5%Spray accuracy
72.6%Counter-strafing
10.4°Preaim
564msReaction time
23.1%T opening success
28.4%CT opening success
0.65Enemies flashed / flash
4.5%Flash assists
12.17HE damage / grenade
7.96Flashes / 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 12.7302% — 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 23.1435% — below the 40% mark we flag

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–10.0217%30 Oct →
nuke5–13-0.0610%29 Oct →
mirage13–70.0114%29 Oct →
train12–120.078%28 Oct →
inferno13–110.1411%28 Oct →
office6–130.048%28 Oct →
dust28–130.0615%27 Oct →
inferno4–13-0.0611%26 Oct →
overpass13–5-0.0116%26 Oct →
inferno4–13-0.0215%26 Oct →
train8–13-0.0210%25 Oct →
anubis8–13-0.0320%25 Oct →
inferno7–13-0.0218%25 Oct →
mirage5–00.0414%25 Oct →
mirage13–110.0211%25 Oct →
mirage7–13-0.0314%25 Oct →
dust29–130.0228%25 Oct →
mirage10–13-0.0311%25 Oct →
inferno13–20.0812%25 Oct →
ancient2–13-0.097%24 Oct →
cache12–120.0214%22 Oct →
mirage11–13-0.044%22 Oct →
cache13–110.0312%21 Oct →
inferno13–11-0.038%21 Oct →
ancient13–90.0415%21 Oct →
cache8–130.0222%21 Oct →
mirage14–16-0.0610%21 Oct →
mirage2–13-0.027%21 Oct →
nuke13–50.0815%19 Oct →
mirage1–5-0.100%18 Oct →
dust26–13-0.0627%18 Oct →
anubis13–7-0.0213%18 Oct →
dust25–13-0.0518%18 Oct →
nuke13–5-0.0330%18 Oct →
ancient9–13-0.076%18 Oct →
inferno13–7-0.0112%18 Oct →
dust211–130.0017%17 Oct →
ancient16–13-0.0711%17 Oct →
dust211–130.0425%17 Oct →
nuke13–2-0.0623%17 Oct →
dust213–9-0.0616%17 Oct →
dust210–13-0.0217%17 Oct →
mirage10–13-0.0115%16 Oct →
inferno2–9-0.1113%16 Oct →
anubis13–70.117%16 Oct →
dust29–12-0.0111%16 Oct →
inferno1–10-0.077%16 Oct →
mirage13–110.0126%16 Oct →
dust213–70.0320%15 Oct →
dust29–13-0.0513%14 Oct →
mirage13–6-0.016%14 Oct →
mirage10–13-0.0711%14 Oct →
vertigo13–11-0.0213%14 Oct →
cache13–10-0.0214%14 Oct →
nuke7–13-0.079%14 Oct →
cache13–100.009%14 Oct →
mirage10–13-0.019%14 Oct →
dust213–8-0.0414%14 Oct →
nuke7–13-0.0519%13 Oct →
cache16–12-0.0311%13 Oct →
dust213–100.0018%13 Oct →
nuke12–12-0.0315%13 Oct →
train13–8-0.0515%13 Oct →
inferno11–130.0514%12 Oct →
inferno0–13-0.0414%12 Oct →
anubis8–130.0115%12 Oct →
nuke13–30.068%12 Oct →
mirage13–40.1214%12 Oct →
cache13–100.0910%12 Oct →
anubis8–13-0.0012%11 Oct →
inferno13–16-0.0316%11 Oct →
anubis13–90.0819%11 Oct →
cache14–160.0119%11 Oct →
cache7–13-0.038%10 Oct →
dust216–140.0527%10 Oct →
dust211–13-0.048%10 Oct →
dust212–5-0.036%10 Oct →
train8–13-0.0532%10 Oct →
inferno13–110.019%10 Oct →
anubis9–13-0.0411%9 Oct →
mirage6–130.0912%9 Oct →
mirage11–13-0.0014%28 Sept →
dust29–13-0.048%26 Sept →
cache13–11-0.017%26 Sept →
inferno13–110.029%26 Sept →
anubis10–13-0.0018%26 Sept →
anubis11–13-0.026%26 Sept →
mirage5–13-0.0317%25 Sept →
ancient13–10-0.0511%25 Sept →
ancient13–30.0014%25 Sept →
mirage13–80.0420%25 Sept →
dust213–11-0.079%25 Sept →
mirage2–13-0.0415%24 Sept →
cache14–16-0.0224%24 Sept →
cache4–13-0.0813%23 Sept →
anubis7–13-0.0021%23 Sept →
nuke5–130.0127%23 Sept →
inferno13–7-0.0522%23 Sept →
nuke13–70.0219%23 Sept →
overpass12–120.0220%23 Sept →

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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