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♡ Nyx — CS2 Stats

76561199099711372[U:1:1139445644]

1,012Tracked matches43%Win rate2023Tracked since
CSDB Rating3.7 Learning
Ladder ranks via Leetify

Performance scores

Aim50
Positioning36
Utility12

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateWWWLLLWLLW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Aim5.0
Aggression1.6
Utility1.2
Positioning3.6
Opening Duels0.0

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 66% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 640ms 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

Aim5.0
Positioning3.6
Utility1.2
Mechanics6.5
Opening Duels0.0
Win Impact2.8

Composite 3.7/10 (Learning), 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-0.06−0.01
first ⅓ avg -0.05 → last ⅓ avg -0.06
Reaction time657ms−12ms
first ⅓ avg 669ms → last ⅓ avg 657ms
Headshot accuracy15.0%−2.7%
first ⅓ avg 17.7% → last ⅓ avg 15.0%

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.

Highlights

0.05Best rating — ancient 13–8
13–1Biggest win — inferno
6Longest win streak
W3Current streak
8–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 78% over 9overpassWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC3112–1939%-0.06
mirageC3111–2035%-0.06
nukeS97–278%-0.03
overpassD91–811%-0.07
ancientC73–443%-0.01
dust2A74–357%-0.05
anubis—21–150%-0.07
train—22–0100%-0.01
cache—11–0100%-0.01
rooftop—11–0100%0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Overpass 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.

15.5%Headshot accuracy
31.1%Accuracy (enemy spotted)
32.4%Spray accuracy
79.4%Counter-strafing
10.4°Preaim
640msReaction time
20.3%T opening success
29.7%CT opening success
0.03Enemies flashed / flash
0.0%Flash assists
8.86HE damage / grenade
0.16Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.0283 — below the 0.5 mark we flag

    Grenade Lineups →
  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 20.3412% — below the 40% mark we flag

Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno16–13-0.0615%2 May →
mirage13–11-0.0421%2 May →
cache13–9-0.0117%2 May →
mirage10–13-0.0924%1 May →
mirage11–13-0.0915%25 Apr →
mirage7–13-0.1014%24 Apr →
inferno13–1-0.0214%24 Apr →
mirage2–13-0.0615%24 Apr →
mirage8–13-0.1032%3 Apr →
inferno13–11-0.0818%1 Mar →
inferno13–10-0.0711%1 Mar →
mirage13–5-0.107%24 Jan →
anubis3–13-0.0814%24 Jan →
inferno11–13-0.0725%24 Jan →
inferno7–13-0.0417%3 Jan →
ancient9–13-0.0123%1 Jan →
mirage10–13-0.0919%30 Dec →
inferno13–8-0.0218%30 Dec →
ancient11–13-0.048%30 Dec →
inferno9–13-0.0016%28 Dec →
train13–7-0.039%28 Dec →
dust213–11-0.0716%28 Dec →
mirage13–11-0.099%28 Dec →
nuke13–7-0.0217%28 Dec →
mirage9–13-0.056%26 Dec →
mirage5–13-0.0719%25 Dec →
nuke9–0-0.0717%25 Dec →
rooftop9–40.030%25 Dec →
overpass5–13-0.074%25 Dec →
inferno9–13-0.0611%24 Dec →
inferno10–13-0.0723%23 Dec →
train13–20.014%23 Dec →
overpass5–13-0.1020%23 Dec →
inferno13–7-0.0816%23 Dec →
mirage7–13-0.065%23 Dec →
mirage2–13-0.0612%23 Dec →
dust213–6-0.037%23 Dec →
overpass9–13-0.0912%22 Dec →
inferno13–11-0.0618%22 Dec →
mirage8–13-0.065%22 Dec →
mirage13–9-0.087%21 Dec →
inferno11–13-0.119%21 Dec →
inferno7–13-0.088%20 Dec →
inferno13–50.0421%20 Dec →
ancient13–7-0.0420%20 Dec →
overpass13–10-0.057%20 Dec →
mirage13–8-0.0416%19 Dec →
mirage13–5-0.029%19 Dec →
nuke13–11-0.0511%19 Dec →
dust211–13-0.059%19 Dec →
inferno7–13-0.1016%19 Dec →
inferno10–13-0.1030%18 Dec →
inferno13–10-0.0113%12 Dec →
inferno4–13-0.0829%10 Dec →
overpass4–13-0.1024%10 Dec →
mirage6–13-0.0510%10 Dec →
mirage13–4-0.0211%10 Dec →
mirage7–13-0.088%10 Dec →
nuke13–8-0.0520%10 Dec →
inferno8–13-0.0816%9 Dec →
ancient13–80.0514%9 Dec →
ancient3–13-0.0322%9 Dec →
inferno9–13-0.0415%9 Dec →
mirage12–16-0.0111%7 Dec →
dust213–11-0.0320%6 Dec →
nuke13–70.0121%6 Dec →
overpass5–13-0.0529%5 Dec →
mirage7–13-0.0918%5 Dec →
mirage10–13-0.0315%5 Dec →
overpass9–13-0.0215%5 Dec →
mirage15–15-0.1015%2 Dec →
inferno5–13-0.106%2 Dec →
nuke15–15-0.0314%1 Dec →
dust215–15-0.0331%1 Dec →
inferno4–13-0.0515%30 Nov →
inferno9–130.0314%30 Nov →
inferno13–10-0.1113%27 Nov →
overpass11–13-0.0210%24 Nov →
inferno13–11-0.0212%24 Nov →
mirage4–13-0.0618%23 Nov →
mirage13–5-0.0018%23 Nov →
mirage13–40.0116%23 Nov →
nuke13–80.0220%23 Nov →
nuke7–13-0.0724%22 Nov →
dust25–13-0.0623%22 Nov →
inferno9–13-0.0713%22 Nov →
inferno4–13-0.0829%22 Nov →
inferno13–10-0.1024%21 Nov →
mirage8–13-0.0932%21 Nov →
overpass13–16-0.1020%21 Nov →
nuke13–6-0.0029%20 Nov →
inferno11–13-0.0916%20 Nov →
mirage3–13-0.1118%20 Nov →
mirage13–10-0.0427%20 Nov →
inferno11–13-0.043%20 Nov →
dust213–7-0.0629%20 Nov →
mirage13–6-0.066%18 Sept →
ancient8–13-0.0210%18 Sept →
ancient13–30.0317%12 Jul →
anubis13–10-0.0717%12 Jul →

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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