Nach0

Nach0 — CS2 Stats

NO76561198055878066[U:1:95612338]Steam profile ↗✓ No bans

1,074Tracked matches45%Win rate2020Tracked since
CSDB Rating3.1 LearningSupport
WingmanGold Nova I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 9,999 +745 17 Oct – 27 Jan · 15 days played
8,3929,999peak 9,99917 Oct27 Jan
9,999Peak Premier in tracked matches
31Days played since 2024-10-17

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

Performance scores

Aim20
Positioning39
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateWLWWLWLTWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −0.7pp headshot accuracy · −95ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 658ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 614ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 662ms

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: Support — Utility contribution stands above the rest of this profile (+2.4 against its own average).

Aim2.0
Utility5.6
Positioning3.9
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.

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 52% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 671ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim2.0
Positioning3.9
Utility5.6
Mechanics3.9
Opening Duels0.0
Win Impact3.3

Composite 3.1/10 (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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time674ms−9ms
first ⅓ avg 683ms → last ⅓ avg 674ms
Headshot accuracy13.0%−3.3%
first ⅓ avg 16.3% → last ⅓ avg 13.0%

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

0.14Best match rating · 13–3 · inferno, 26 Oct →
33%Best headshot accuracy · 3–13 · ancient, 11 Jan →
422msFastest reaction time · 15–15 · nuke, 25 Feb →
13–1Biggest win · anubis, 27 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 68% over 19mirageWeakest map · 20% over 20
MapGradePlayedRecordWin rateAvg rating
ancientC208–1240%-0.02
mirageD204–1620%-0.02
nukeA2011–955%-0.02
infernoS1913–668%-0.00
anubisD155–1033%-0.02
dust2—41–325%-0.04
overpass—10–10%-0.02
train—11–0100%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 20). Start with the 5 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.

13.3%Headshot accuracy
24.9%Accuracy (enemy spotted)
25.2%Spray accuracy
67.6%Counter-strafing
11.0°Preaim
671msReaction time
21.5%T opening success
29.0%CT opening success
0.61Enemies flashed / flash
3.0%Flash assists
10.32HE damage / grenade
6.49Flashes / 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 13.2874% — below the 15% mark we flag

    Aim Training →
  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 21.5266% — 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.

20% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno10–4-0.0226%15 Sept →
ancient8–13-0.0910%15 Sept →
mirage13–50.0312%15 Sept →
ancient13–50.0315%14 Sept →
nuke7–13-0.0213%14 Sept →
anubis13–3-0.018%14 Sept →
mirage10–13-0.0211%14 Sept →
ancient15–15-0.0216%2 Sept →
nuke13–11-0.0423%10 Jun →
mirage5–13-0.097%10 Jun →
ancient13–11-0.0210%10 Jun →
anubis10–13-0.0310%18 May →
nuke13–5-0.0326%18 May →
dust22–13-0.059%18 May →
inferno11–13-0.0313%18 May →
nuke9–13-0.0415%17 May →
inferno11–13-0.0420%17 May →
nuke13–100.0313%4 Jan →
inferno13–5-0.035%4 Jan →
mirage7–13-0.0527%3 Jan →
nuke8–13-0.0315%2 Jan →
inferno13–11-0.0612%2 Jan →
inferno14–16-0.0612%2 Jan →
mirage9–130.0118%2 Jan →
nuke13–8-0.025%7 Nov →
ancient13–10-0.0011%7 Nov →
mirage9–13-0.057%7 Nov →
ancient13–8-0.134%7 Nov →
overpass10–13-0.0215%21 Jul →
mirage11–13-0.0613%21 Jul →
nuke13–70.0010%21 Jul →
ancient7–13-0.0710%21 Jul →
mirage4–13-0.068%21 Jul →
dust25–13-0.0528%15 May →
mirage11–13-0.0211%15 May →
anubis10–13-0.0615%15 May →
nuke13–11-0.0215%15 May →
ancient13–50.0416%24 Mar →
mirage13–90.0312%24 Mar →
inferno13–60.0123%24 Mar →
train13–90.0013%24 Mar →
ancient9–130.0217%22 Mar →
nuke8–13-0.049%22 Mar →
inferno13–80.0419%22 Mar →
nuke13–4-0.0417%22 Mar →
nuke7–13-0.0319%22 Mar →
inferno11–13-0.046%25 Feb →
mirage6–130.0523%25 Feb →
ancient8–13-0.0412%25 Feb →
nuke15–15-0.029%25 Feb →
ancient11–13-0.0310%31 Jan →
mirage7–13-0.0417%31 Jan →
inferno13–110.0019%31 Jan →
nuke13–6-0.018%27 Jan →
anubis13–10.028%27 Jan →
mirage13–90.0217%27 Jan →
anubis5–13-0.0314%27 Jan →
mirage15–15-0.0611%19 Jan →
inferno13–7-0.0210%19 Jan →
anubis13–4-0.0416%19 Jan →
inferno13–40.0712%19 Jan →
anubis12–16-0.0011%17 Jan →
ancient9–13-0.0013%17 Jan →
nuke13–10-0.0411%17 Jan →
ancient9–13-0.098%17 Jan →
anubis4–130.0115%17 Jan →
ancient13–50.0414%11 Jan →
ancient3–13-0.0733%11 Jan →
anubis9–13-0.068%11 Jan →
anubis11–13-0.0211%6 Jan →
ancient13–30.0721%6 Jan →
nuke13–10-0.0214%6 Jan →
ancient7–13-0.0110%26 Dec →
nuke13–40.1115%17 Dec →
inferno13–2-0.0327%14 Dec →
anubis10–13-0.008%14 Dec →
ancient13–50.0017%6 Dec →
mirage6–13-0.0211%6 Dec →
inferno4–13-0.0416%6 Dec →
inferno16–130.037%29 Nov →
anubis13–20.0126%29 Nov →
mirage11–13-0.0326%29 Nov →
mirage7–13-0.0212%24 Nov →
inferno13–20.0212%24 Nov →
anubis7–13-0.0814%24 Nov →
inferno14–16-0.0129%16 Nov →
mirage13–11-0.0331%16 Nov →
mirage5–13-0.029%26 Oct →
dust213–9-0.0120%26 Oct →
inferno13–30.1416%26 Oct →
anubis7–13-0.0715%26 Oct →
nuke4–13-0.088%26 Oct →
nuke8–13-0.0218%26 Oct →
ancient8–13-0.0119%20 Oct →
dust25–13-0.0415%20 Oct →
nuke7–13-0.067%20 Oct →
mirage6–13-0.0313%17 Oct →
anubis13–11-0.0111%17 Oct →
inferno16–130.0322%17 Oct →
ancient8–130.0319%17 Oct →

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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