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ruecl

ruecl — CS2 Stats

76561198866189776[U:1:905924048]Steam profile ↗

667Tracked matches52%Win rate2020Tracked since
CSDB Rating4.6 Developing
Ladder ranks via Leetify

Performance scores

Aim41
Positioning47
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateWWWWLWLTLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Aim4.1
Aggression5.3
Utility7.0
Positioning4.7
Opening Duels1.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 83% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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. 669ms 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

Aim4.1
Positioning4.7
Utility7.0
Mechanics4.8
Opening Duels1.4
Win Impact5.6

Composite 4.6/10 (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+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time664ms−20ms
first ⅓ avg 684ms → last ⅓ avg 664ms
Headshot accuracy20.4%+2.6%
first ⅓ avg 17.8% → last ⅓ avg 20.4%

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.

Highlights

0.09Best rating — inferno 13–4
13–1Biggest win — dust2
5Longest win streak
W4Current streak
5–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 53% over 38mirageWeakest map · 27% over 22
MapGradePlayedRecordWin rateAvg rating
dust2B3820–1853%-0.01
mirageD226–1627%-0.02
infernoB158–753%0.02
nukeC83–538%-0.02
cacheD72–529%-0.01
ancient—32–167%-0.02
overpass—21–150%0.02
anubis—22–0100%0.04
fachwerk—10–10%0.04
office—10–10%-0.05
train—10–10%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 22). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

20.3%Headshot accuracy
28.3%Accuracy (enemy spotted)
28.9%Spray accuracy
71.7%Counter-strafing
10.4°Preaim
669msReaction time
38.1%T opening success
33.1%CT opening success
0.63Enemies flashed / flash
7.5%Flash assists
12.00HE damage / grenade
17.52Flashes / 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 38.0932% — 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.

27% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–10.046%22 Aug →
dust213–30.0111%7 Aug →
inferno13–8-0.0216%7 Aug →
inferno13–40.0141%7 Aug →
cache7–13-0.0624%7 Aug →
dust213–50.0321%4 Aug →
inferno10–130.0326%4 Aug →
inferno15–150.0521%18 Jul →
dust27–13-0.0422%16 Jul →
mirage10–13-0.0513%16 Jul →
dust213–8-0.0114%12 Jul →
mirage13–8-0.0117%12 Jul →
cache10–13-0.0621%12 Jul →
dust216–13-0.0115%11 Jul →
dust27–13-0.0529%10 Jul →
fachwerk2–130.0412%10 Jul →
mirage4–13-0.0318%10 Jul →
dust213–70.0112%6 Jul →
mirage8–13-0.0636%6 Jul →
inferno15–15-0.0522%2 Jul →
dust28–13-0.0617%2 Jul →
mirage13–5-0.0114%28 Jun →
inferno13–100.0518%25 Jun →
nuke13–90.0324%25 Jun →
dust213–11-0.0119%25 Jun →
dust28–13-0.0411%24 Jun →
cache13–30.0936%24 Jun →
mirage12–160.0233%20 Jun →
mirage3–130.0122%20 Jun →
dust212–12-0.0214%20 Jun →
dust211–13-0.0532%18 Jun →
inferno13–40.0917%17 Jun →
cache7–13-0.0420%14 Jun →
dust214–16-0.0022%14 Jun →
dust22–13-0.0431%12 Jun →
mirage13–11-0.0315%12 Jun →
dust213–30.0820%10 Jun →
nuke11–13-0.0023%10 Jun →
dust25–13-0.0211%10 Jun →
mirage8–13-0.0520%10 Jun →
mirage9–130.0119%9 Jun →
dust213–6-0.0318%7 Jun →
inferno8–30.0118%7 Jun →
inferno1–130.0722%7 Jun →
mirage13–80.0318%7 Jun →
mirage7–130.0320%7 Jun →
dust213–10-0.0216%7 Jun →
dust213–11-0.0019%6 Jun →
mirage13–90.0611%5 Jun →
dust213–60.0820%5 Jun →
inferno13–110.0213%4 Jun →
dust23–13-0.0516%4 Jun →
dust28–130.018%31 May →
ancient9–13-0.0417%30 May →
nuke13–6-0.0321%30 May →
mirage5–13-0.0915%30 May →
mirage13–6-0.0222%30 May →
dust213–60.0424%30 May →
dust26–13-0.0219%29 May →
overpass10–130.0014%29 May →
mirage5–13-0.0811%29 May →
dust212–12-0.0317%28 May →
nuke13–80.0722%28 May →
mirage2–13-0.0727%28 May →
dust28–13-0.0210%27 May →
nuke7–13-0.0311%27 May →
dust213–80.0211%27 May →
dust213–6-0.0323%27 May →
mirage9–13-0.0222%25 May →
inferno0–13-0.0515%25 May →
dust26–13-0.0814%25 May →
inferno16–120.0620%25 May →
mirage8–130.0319%25 May →
dust213–110.0221%24 May →
mirage7–130.0325%24 May →
dust212–120.0113%24 May →
inferno9–13-0.076%17 May →
mirage7–13-0.0617%17 May →
overpass13–80.0518%17 May →
dust213–80.0118%17 May →
anubis13–60.0717%16 May →
dust213–60.0132%15 May →
mirage14–16-0.0522%15 May →
office10–13-0.0523%14 May →
cache13–30.0312%14 May →
nuke3–13-0.1218%13 May →
dust213–50.0119%12 May →
dust213–100.0214%12 May →
nuke10–13-0.0320%12 May →
ancient13–10-0.0221%11 May →
train3–13-0.0515%11 May →
cache9–13-0.0310%11 May →
nuke12–12-0.058%11 May →
dust26–13-0.0221%11 May →
cache5–130.0112%10 May →
anubis13–20.0023%9 May →
dust29–13-0.0722%9 May →
inferno13–40.0411%9 May →
inferno10–13-0.0213%9 May →
ancient13–60.0123%9 May →

Match data via Leetify.

Recent teammates

Milestones

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

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