average rock enjoyer

average rock enjoyer — CS2 Stats

IE76561198071433489[U:1:111167761]Steam profile ↗✓ No bans

184Tracked matches41%Win rate2020Tracked since
CSDB Rating4.3 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGaverage rock enjoyerFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim55
Positioning34
Utility31

0–100 skill scores via Leetify.

Recent form

COLD44–50–6Last 10044%Win rateWLLWLWLLLL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +2.1pp headshot accuracy · +73ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 658ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 682ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 646ms

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 (+1.1 against its own average).

Aim5.5
Utility3.1
Positioning3.4
Opening Duels0.3

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 95% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

T-side openings. Opening success drops from 34% on CT to 1% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 619ms 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

Aim5.5
Positioning3.4
Utility3.1
Mechanics8.3
Opening Duels0.5
Win Impact2.1

Composite 4.3/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time626ms−3ms
first ⅓ avg 629ms → last ⅓ avg 626ms
Headshot accuracy22.0%+7.8%
first ⅓ avg 14.2% → last ⅓ avg 22.0%

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 · 12–1 · inferno, 20 Jan →
56%Best headshot accuracy · 2–9 · inferno, 13 Jan →
438msFastest reaction time · 5–16 · inferno, 24 Jun →
16–3Biggest win · mirage, 26 Jun →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–7In matches decided by ≤2 rounds
82Overtime games

Map breakdown

mirageBest map · 49% over 35cacheWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB3517–1849%-0.01
infernoC3414–2041%-0.01
cacheC83–538%0.02
overpassC83–538%0.01
dust2C52–340%0.00
vertigo—42–250%-0.00
anubis—20–20%-0.11
ancient—22–0100%-0.04
train—10–10%-0.03
nuke—11–0100%0.00

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.4%Headshot accuracy
27.7%Accuracy (enemy spotted)
27.6%Spray accuracy
87.5%Counter-strafing
11.1°Preaim
619msReaction time
1.1%T opening success
34.2%CT opening success
0.55Enemies flashed / flash
6.9%Flash assists
6.89HE damage / grenade
11.80Flashes / 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 1.092% — below the 40% mark we flag

Spend your practice time on Cache

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache13–10-0.0425%20 May →
dust26–13-0.0615%20 May →
mirage7–130.0430%18 May →
cache13–90.0534%30 Apr →
cache4–130.1123%30 Apr →
cache13–110.0323%29 Apr →
cache1–13-0.0317%29 Apr →
dust28–13-0.0717%29 Apr →
mirage11–13-0.0621%20 Jan →
anubis6–13-0.0928%20 Jan →
ancient13–5-0.0324%20 Jan →
inferno12–10.1332%20 Jan →
inferno13–90.0120%20 Jan →
vertigo13–20.0314%20 Jan →
dust213–30.1129%20 Jan →
mirage7–13-0.0710%19 Jan →
inferno6–160.0129%12 Jul →
mirage14–160.0426%21 Jan →
inferno12–160.0818%21 Jan →
anubis2–16-0.1212%18 Jan →
inferno12–16-0.0212%18 Jan →
vertigo3–16-0.0121%18 Jan →
mirage16–13-0.0413%15 Jan →
overpass16–120.0126%15 Jan →
mirage8–160.0017%14 Jan →
inferno2–9-0.1056%13 Jan →
mirage15–15-0.0321%11 Jan →
ancient16–13-0.0618%11 Jan →
inferno9–16-0.0821%11 Jan →
mirage12–20.029%17 Jul →
inferno16–14-0.0523%17 Jul →
inferno14–16-0.0124%16 Jul →
mirage8–16-0.0520%15 Jul →
vertigo11–16-0.0221%14 Jul →
inferno4–16-0.0313%14 Jul →
mirage16–110.0220%13 Jul →
inferno12–160.0426%12 Jul →
mirage10–160.0032%12 Jul →
inferno5–16-0.0322%12 Jul →
inferno6–16-0.0611%11 Jul →
inferno16–9-0.0419%11 Jul →
mirage16–130.0231%11 Jul →
mirage16–100.0221%9 Jul →
cache10–160.0021%4 Jul →
mirage5–16-0.0530%4 Jul →
inferno16–130.0137%4 Jul →
mirage10–160.0135%2 Jul →
train5–16-0.0320%2 Jul →
mirage7–16-0.0715%1 Jul →
overpass16–50.0019%24 Jun →
dust215–150.0311%24 Jun →
inferno5–16-0.0316%24 Jun →
mirage16–10-0.0321%24 Jun →
inferno5–16-0.0422%24 Jun →
overpass11–16-0.0122%21 Jun →
inferno14–16-0.0518%21 Jun →
mirage2–16-0.0515%21 Jun →
mirage16–12-0.0526%19 Jun →
inferno16–10-0.0318%19 Jun →
mirage15–150.0128%19 Jun →
inferno10–16-0.0535%19 Jun →
inferno15–150.0216%18 Jun →
mirage16–100.0237%17 Jun →
inferno7–16-0.0436%17 Jun →
mirage16–12-0.0223%5 Jun →
inferno16–14-0.0312%5 Jun →
overpass16–80.0714%28 Dec →
overpass10–16-0.0030%23 Dec →
mirage16–11-0.0025%21 Dec →
overpass11–160.007%16 Jul →
inferno8–160.0011%15 Jul →
overpass8–160.0014%8 Jul →
vertigo16–130.009%8 Jul →
mirage16–130.0019%7 Jul →
inferno14–160.0017%7 Jul →
overpass20–220.0019%5 Jul →
inferno16–110.006%5 Jul →
mirage11–160.0018%5 Jul →
inferno16–130.007%4 Jul →
cache15–150.0010%1 Jul →
mirage7–160.0024%1 Jul →
cache15–150.0011%28 Jun →
inferno16–100.0010%28 Jun →
mirage16–120.0023%27 Jun →
inferno5–160.008%26 Jun →
mirage16–30.0016%26 Jun →
inferno8–160.0024%25 Jun →
mirage14–160.0019%25 Jun →
dust216–90.005%25 Jun →
inferno16–140.0011%24 Jun →
mirage16–60.009%24 Jun →
nuke16–70.0014%24 Jun →
mirage16–120.0015%24 Jun →
mirage16–40.0017%22 Jun →
inferno16–100.0011%22 Jun →
mirage8–160.0015%20 Jun →
inferno16–90.007%20 Jun →
mirage3–160.0012%17 Jun →
inferno16–120.0012%17 Jun →
mirage16–50.0014%17 Jun →

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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