_Nyx_

_Nyx_ — CS2 Stats

76561198076449362[U:1:116183634]Steam profile ↗✓ No bans

546Tracked matches29%Win rate2021Tracked since
1,893Hours in CS2Hrs last 2 wks
CSDB Rating2.3 LearningPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 7,626 -4,301 11 Mar – 6 Jun · 18 days played
7,62611,927peak 11,92711 Mar6 Jun
12,024Peak Premier in tracked matches
61Days played since 2025-03-11

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim15
Positioning42
Utility32

0–100 skill scores via Leetify.

Recent form

COLD33–59–8Last 10033%Win rateLLLWLTLLWL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +1.6pp headshot accuracy · +7ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 755ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 752ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 748ms

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 (+1.7 against its own average).

Aim1.5
Utility3.2
Positioning4.2
Opening Duels0.0

Limited utility dependence

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 60% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 770ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.5
Positioning4.2
Utility3.2
Mechanics3.6
Opening Duels0.3
Win Impact0.0

Composite 2.3/10 (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-0.06−0.02
first ⅓ avg -0.04 → last ⅓ avg -0.06
Reaction time764ms+62ms
first ⅓ avg 702ms → last ⅓ avg 764ms
Headshot accuracy12.5%−1.2%
first ⅓ avg 13.7% → last ⅓ avg 12.5%

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

0.14Best match rating · 13–2 · mirage, 16 Jan →
42%Best headshot accuracy · 12–12 · mirage, 1 Sept →
453msFastest reaction time · 13–5 · anubis, 24 Apr →
13–1Biggest win · inferno, 6 May →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L3Current streak
1–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 57% over 7overpassWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC2410–1442%-0.04
infernoC177–1041%-0.04
ancientC145–936%-0.05
nukeD113–827%-0.05
dust2D93–633%-0.04
overpassD70–70%-0.08
anubisA74–357%-0.02
train—30–30%-0.02
office—30–30%-0.09
cache—21–150%-0.05
debris—10–10%-0.18
dogtown—10–10%-0.17
vertigo—10–10%-0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,814Lifetime kills
0.93K/D
7,680Matches
76.3%Match win rate · Top 1% of tracked players
43.6%Headshot % · Top 50% of tracked players
15.6%Shot accuracy · Top 25% of tracked players
8,082MVPs
951Hours (in match)
2,465Bombs planted
692Bombs defused

Most-used weapons

AK-4711,086
AWP6,463
SSG 081,142
MP91,079
P2501,065
UMP-451,052

Lifetime map wins

4,154inferno
2,236dust2
774train
601nuke
332cbble
173office
129dust
129vertigo

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

Faceit stats

Combat

13Matches
54%Win rate
0.80Avg K/D
—ADR
35%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLWL

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.

13.1%Headshot accuracy
25.1%Accuracy (enemy spotted)
27.3%Spray accuracy
66.2%Counter-strafing
10.7°Preaim
770msReaction time
32.0%T opening success
30.3%CT opening success
0.49Enemies flashed / flash
4.0%Flash assists
9.96HE damage / grenade
3.92Flashes / 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 13.0625% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 770.1903ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.486 — below the 0.5 mark we flag

    Grenade Lineups →
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.

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache12–16-0.0310%12 Oct →
debris6–9-0.1810%4 Oct →
nuke11–13-0.0111%7 Sept →
mirage13–5-0.0014%7 Sept →
mirage5–13-0.0521%3 Sept →
dust212–12-0.0512%23 Aug →
train2–11-0.0224%13 Aug →
dust28–13-0.073%29 Jun →
mirage16–12-0.047%21 Jun →
overpass4–13-0.0925%15 Jun →
mirage8–13-0.113%10 Jun →
anubis13–100.0217%3 Jun →
dust24–13-0.049%26 May →
office6–13-0.0511%13 May →
cache13–6-0.085%13 May →
dust213–5-0.0211%12 May →
inferno13–10.0015%6 May →
mirage7–13-0.0126%21 Apr →
nuke10–13-0.0517%13 Apr →
nuke9–5-0.055%13 Apr →
overpass2–13-0.1221%5 Apr →
mirage5–13-0.0810%5 Apr →
overpass0–9-0.190%3 Apr →
inferno1–9-0.220%3 Apr →
ancient5–130.018%31 Mar →
dust21–13-0.0533%31 Mar →
nuke12–12-0.0818%30 Mar →
nuke4–13-0.0317%12 Mar →
ancient5–13-0.066%22 Feb →
overpass6–9-0.128%22 Feb →
office3–13-0.1012%7 Feb →
office8–13-0.144%6 Feb →
dust24–13-0.0418%17 Jan →
mirage13–20.1419%16 Jan →
dust213–8-0.083%14 Jan →
overpass6–13-0.0017%13 Jan →
mirage11–13-0.0920%1 Jan →
nuke13–8-0.068%13 Oct →
mirage9–13-0.0621%3 Sept →
ancient13–10-0.0511%3 Sept →
mirage12–12-0.0742%1 Sept →
mirage13–3-0.0222%6 Aug →
inferno7–13-0.0720%29 Jul →
dust213–100.0726%29 Jul →
mirage13–3-0.0010%29 Jul →
anubis7–13-0.049%25 Jun →
mirage11–13-0.0710%18 Jun →
ancient13–4-0.0013%18 Jun →
mirage13–10-0.048%18 Jun →
ancient7–13-0.029%6 Jun →
inferno11–13-0.1017%4 Jun →
ancient10–13-0.023%17 May →
inferno15–15-0.0615%17 May →
train4–130.0010%16 May →
inferno8–80.0030%16 May →
dogtown4–9-0.179%16 May →
nuke9–40.0220%15 May →
ancient14–16-0.097%14 May →
inferno9–5-0.0211%14 May →
mirage6–13-0.0411%11 May →
inferno13–20.0813%30 Apr →
ancient6–13-0.0824%29 Apr →
anubis4–13-0.085%27 Apr →
inferno13–9-0.017%27 Apr →
overpass12–12-0.0327%26 Apr →
vertigo7–13-0.0310%26 Apr →
anubis13–60.0114%26 Apr →
overpass12–12-0.039%25 Apr →
mirage3–13-0.1032%25 Apr →
mirage13–70.0023%25 Apr →
mirage2–13-0.034%24 Apr →
anubis13–5-0.0111%24 Apr →
inferno7–13-0.018%24 Apr →
anubis13–40.0210%24 Apr →
ancient13–10-0.0211%24 Apr →
inferno13–50.0111%23 Apr →
dust24–13-0.067%2 Apr →
mirage5–13-0.115%2 Apr →
nuke3–9-0.1329%2 Apr →
ancient6–13-0.0713%28 Mar →
ancient4–13-0.0817%28 Mar →
inferno8–8-0.0133%27 Mar →
nuke4–13-0.0519%26 Mar →
mirage13–6-0.1011%26 Mar →
ancient13–8-0.0320%18 Mar →
inferno13–10-0.0510%18 Mar →
inferno14–16-0.0512%18 Mar →
nuke8–13-0.0613%18 Mar →
mirage7–13-0.0210%18 Mar →
anubis8–13-0.0313%18 Mar →
inferno7–13-0.028%17 Mar →
ancient13–8-0.038%14 Mar →
train10–13-0.0410%13 Mar →
mirage7–13-0.0413%13 Mar →
inferno8–13-0.0516%12 Mar →
mirage13–50.0415%12 Mar →
mirage13–7-0.0318%12 Mar →
nuke11–13-0.075%12 Mar →
ancient5–13-0.108%12 Mar →
inferno16–14-0.0420%11 Mar →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.