Nayb

Nayb — CS2 Stats

76561197987598045[U:1:27332317]Steam profile ↗✓ No bans

511Tracked matches50%Win rate2020Tracked since
CSDB Rating5.5 SolidPositional Player
FaceitLevel 9 · 2,182 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Aug 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,182 → 2,182
+65Tracked matches · now 511
+3.3ppWin rate · 46.7% → 50.0%

Rating over time

2,182Highest Faceit ELO seen on CSDB
53Days played since 2025-02-26

Faceit ELO

  • At peak — 2,182
  • Next: 2,500 ELO at 2,500 — 318 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-29
  • Level 9 first seen 2026-08-29

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGNaybFACEITLevel 9 · 2,182 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,182csdb.gg/stats

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Performance scores

Aim74
Positioning53
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateLLLWWLLWWW

Last 10 vs previous 10: −20pp win rate · +0.05 avg rating · +4.3pp headshot accuracy · −20ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 561ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 553ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 563ms

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 (+1.6 against its own average).

Aim7.4
Utility4.8
Positioning5.3
Opening Duels1.9
Clutch2.8

Strong CT-side opener

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 93% 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

Reaction time. 563ms 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

Aim7.4
Positioning5.3
Utility4.8
Mechanics5.2
Opening Duels2.2
Win Impact5.0

Composite 5.5/10 (Solid), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time569ms−119ms
first ⅓ avg 688ms → last ⅓ avg 569ms
Headshot accuracy18.3%−4.7%
first ⅓ avg 23.1% → last ⅓ avg 18.3%

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

0.15Best match rating · 13–3 · inferno, 11 Mar →
50%Best headshot accuracy · 13–5 · ancient, 20 Dec →
414msFastest reaction time · 1–13 · ancient, 3 Oct →
13–1Biggest win · inferno, 1 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
4–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 60% over 5dust2Weakest map · 42% over 24
MapGradePlayedRecordWin rateAvg rating
infernoB2612–1446%-0.01
dust2C2410–1442%-0.00
mirageA2313–1057%-0.01
ancientB136–746%-0.01
nukeA53–260%-0.03
cache—32–167%0.02
anubis—32–167%0.00
train—32–167%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,248Matches
53%Win rate
1.08Avg K/D
69.0ADR
36%Headshot %

Clutches & streaks

34%1v1 clutch win
17%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust213160%1.0214.7
Inferno11752%0.9113.4
Mirage11643%0.8914.0
Ancient4838%0.8314.3
Anubis4344%0.8713.7
Nuke2952%0.9213.6
Cache1258%1.1815.2
Train944%0.8915.1

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.

17.8%Headshot accuracy
36.4%Accuracy (enemy spotted)
39.9%Spray accuracy
73.3%Counter-strafing
9.0°Preaim
563msReaction time
31.7%T opening success
45.8%CT opening success
0.45Enemies flashed / flash
9.5%Flash assists
9.00HE damage / grenade
5.12Flashes / 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 0.4495 — 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 31.6921% — below the 40% mark we flag

Spend your practice time on Dust 2

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

42% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–130.0232%14 Oct →
dust211–130.0121%14 Oct →
inferno14–16-0.0515%13 Oct →
ancient16–12-0.038%13 Oct →
mirage13–30.0821%13 Oct →
dust211–130.0518%12 Oct →
cache10–130.0926%10 Oct →
dust213–80.1136%10 Oct →
cache13–70.0120%10 Oct →
mirage13–100.0518%8 Oct →
dust213–9-0.0123%8 Oct →
dust213–90.0424%8 Oct →
inferno8–130.0022%6 Oct →
ancient1–13-0.1111%3 Oct →
inferno13–50.0124%3 Oct →
mirage10–13-0.063%3 Oct →
dust213–90.0518%3 Oct →
mirage16–12-0.0316%1 Oct →
cache13–5-0.0415%1 Oct →
inferno13–10.0215%1 Oct →
mirage13–4-0.0218%1 Oct →
mirage13–10-0.0124%1 Oct →
inferno13–7-0.0020%30 Sept →
inferno10–13-0.067%28 Sept →
dust27–13-0.0117%13 Sept →
inferno14–16-0.0319%8 Sept →
inferno5–13-0.0613%18 Apr →
dust212–16-0.0310%7 Feb →
dust27–13-0.0316%31 Jan →
dust28–13-0.008%30 Jan →
ancient13–10-0.0323%29 Jan →
anubis16–140.0225%29 Jan →
inferno9–130.1217%29 Jan →
inferno13–110.0136%6 Jan →
train13–3-0.0120%3 Jan →
inferno0–6-0.110%2 Jan →
mirage1–13-0.0925%2 Jan →
train13–20.0516%1 Jan →
inferno13–70.0116%1 Jan →
ancient4–70.1018%1 Jan →
mirage16–130.0329%28 Dec →
inferno13–7-0.0114%28 Dec →
mirage4–13-0.0230%28 Dec →
inferno9–13-0.0218%22 Dec →
anubis10–13-0.0021%21 Dec →
ancient13–5-0.0250%20 Dec →
dust210–13-0.0439%19 Dec →
mirage8–13-0.0624%9 Dec →
inferno11–13-0.0218%9 Dec →
inferno13–16-0.0330%7 Dec →
nuke13–11-0.0613%6 Dec →
dust213–6-0.017%5 Dec →
ancient9–13-0.0229%5 Dec →
inferno13–10-0.0218%5 Dec →
ancient13–90.0314%4 Dec →
inferno13–80.027%4 Dec →
nuke7–13-0.0529%28 Nov →
mirage13–70.0521%28 Nov →
dust29–13-0.0615%28 Nov →
ancient7–13-0.0117%27 Nov →
mirage11–130.0042%27 Nov →
dust27–13-0.0819%27 Nov →
ancient13–4-0.0112%27 Nov →
dust213–10-0.0224%27 Nov →
mirage13–100.0824%26 Nov →
mirage13–7-0.0213%26 Nov →
inferno14–16-0.097%26 Nov →
dust213–30.0636%26 Nov →
ancient3–13-0.0439%25 Nov →
mirage8–13-0.0321%25 Nov →
mirage8–13-0.038%24 Nov →
ancient11–13-0.0026%24 Nov →
mirage13–8-0.0128%24 Nov →
inferno13–9-0.0322%1 Nov →
mirage4–13-0.0830%1 Nov →
mirage4–13-0.078%1 Nov →
nuke13–90.0114%31 Oct →
dust22–13-0.0921%29 Oct →
mirage7–13-0.0213%28 Oct →
ancient9–13-0.0028%28 Oct →
ancient13–80.0523%20 Oct →
dust210–13-0.0112%20 Oct →
nuke9–13-0.0112%20 Oct →
train4–13-0.0139%12 Oct →
dust213–40.0832%12 Oct →
mirage13–9-0.0218%12 Oct →
nuke13–11-0.0229%11 Oct →
dust213–50.0831%11 Oct →
dust210–13-0.0421%5 Oct →
anubis13–3-0.0140%5 Sept →
inferno11–13-0.0420%3 Apr →
mirage13–50.0733%29 Mar →
dust28–13-0.0418%28 Mar →
inferno13–5-0.0211%22 Mar →
inferno13–30.1524%11 Mar →
dust210–13-0.0515%11 Mar →
dust213–40.0315%8 Mar →
inferno13–7-0.0121%2 Mar →
inferno4–130.0033%26 Feb →
mirage13–9-0.0320%26 Feb →

Match data via Leetify.

Recent teammates

Milestones

2K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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