Natto

Natto — CS2 Stats

GB76561198273435039[U:1:313169311]Steam profile ↗✓ No bans

136Tracked matches86%Win rate2025Tracked since
CSDB Rating5.3 Developing
Premier CS Rating27,430Top 5% of 44,590 CSDB-tracked playersRed band · top ~1.8% of ranked players (population est.)
CSDB Leaderboard#1545 of 59301 tracked
Ladder ranks via Leetify

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CSDB.GGNattoPREMIER27,430 · Red bandcsdb.gg/stats

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Performance scores

Aim58
Positioning43
Utility50

0–100 skill scores via Leetify.

Recent form

HOT75223Last 10075%Win rateWWWWWWWWWW

Last 10 vs previous 10: +50pp win rate · -0.01 avg rating

Player DNA

Aim5.8
Aggression6.1
Utility5.0
Positioning4.3
Opening Duels1.2

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

b1t

Plays most like b1t 84% playstyle similarity

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

Where you differ: lower positioning profile; 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

Counter-strafing. Only 69% 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

Aim5.8
Positioning4.3
Utility5.0
Mechanics4.1
Opening Duels1.2
Win Impact10.0

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time537ms−31ms
first ⅓ avg 569ms → last ⅓ avg 537ms
Headshot accuracy14.9%+1.0%
first ⅓ avg 13.9% → last ⅓ avg 14.9%

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

0.18Best rating — train 13–6
130Biggest win — dust2
19Longest win streak
W13Current streak
23In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 88% over 8mirageWeakest map · 55% over 11
MapGradePlayedRecordWin rateAvg rating
infernoS2017385%0.01
dust2S1815383%-0.00
mirageA116555%0.01
trainA117464%0.03
officeS107370%-0.01
nukeS87188%0.03
vertigoS75271%0.02
anubisA53260%0.00
grail43175%0.04
cache330100%-0.01
shelter1010%0.05
overpass110100%-0.07
jura110100%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (55% over 11). 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.

14.9%Headshot accuracy
31.1%Accuracy (enemy spotted)
33.2%Spray accuracy
68.7%Counter-strafing
8.6°Preaim
529msReaction time
40.0%T opening success
29.5%CT opening success
0.42Enemies flashed / flash
3.4%Flash assists
12.18HE damage / grenade
6.21Flashes / 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 14.8993% — below the 15% mark we flag

    Aim Training
  2. 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 0.4225 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 39.9658% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
cache13–5-0.018%30 Aug
inferno13–8-0.0419%20 Aug
dust213–0-0.0410%20 Aug
office13–2-0.0311%5 Aug
inferno13–3-0.015%4 Aug
vertigo13–10.0213%4 Aug
vertigo13–40.0127%29 Jul
inferno13–40.0630%29 Jul
mirage13–40.0420%26 Jul
train13–30.0415%26 Jul
inferno13–40.0614%24 Jul
office13–1-0.0639%22 Jul
dust213–3-0.0616%22 Jul
office12–120.047%18 Jul
office3–13-0.0716%18 Jul
anubis4–130.0218%15 Jul
shelter8–130.0516%15 Jul
office5–13-0.0510%15 Jul
mirage13–1-0.0111%10 Jul
inferno13–00.1512%10 Jul
mirage13–00.0421%10 Jul
office13–20.0616%10 Jul
office13–30.0617%10 Jul
cache13–10-0.0117%9 Jul
office13–50.0120%8 Jul
inferno16–13-0.042%4 Jul
overpass13–11-0.0711%4 Jul
anubis13–4-0.046%3 Jul
dust213–9-0.0519%3 Jul
nuke16–120.0315%3 Jul
dust213–6-0.0821%3 Jul
nuke13–50.033%1 Jul
cache13–8-0.019%1 Jul
dust213–40.0313%27 Jun
mirage13–3-0.009%26 Jun
inferno13–4-0.0217%26 Jun
inferno13–80.0218%24 Jun
train3–13-0.0318%22 Jun
train0–13-0.0514%22 Jun
train13–20.0913%17 Jun
train13–00.049%17 Jun
nuke13–10.0415%13 Jun
office13–50.029%10 Jun
inferno13–1-0.0414%6 Jun
nuke13–5-0.0412%6 Jun
dust213–20.016%6 Jun
vertigo12–120.0118%6 Jun
inferno13–00.0624%5 Jun
vertigo9–13-0.0212%5 Jun
anubis13–60.048%27 May
anubis8–13-0.0213%27 May
dust213–50.0313%26 May
train13–80.0316%22 May
office13–2-0.0422%22 May
mirage13–60.0330%22 May
inferno13–90.017%14 Feb
inferno13–20.0412%14 Feb
vertigo12–10.0222%14 Feb
vertigo13–3-0.008%14 Feb
train8–13-0.0524%12 Sept
vertigo13–20.1116%30 Aug
grail9–0-0.020%29 Aug
grail13–50.045%29 Aug
grail8–130.0514%29 Aug
grail13–40.074%28 Aug
anubis13–70.0222%22 Aug
mirage6–13-0.0118%8 Aug
inferno13–10-0.0311%6 Aug
jura13–50.018%5 Aug
inferno13–90.0614%4 Aug
dust213–60.0424%3 Aug
dust216–12-0.0214%3 Aug
nuke13–7-0.0018%3 Aug
mirage4–130.0416%2 Aug
dust213–10-0.046%2 Aug
train13–50.0023%2 Aug
inferno13–10.0318%2 Aug
dust28–13-0.0812%2 Aug
train13–2-0.0311%2 Aug
dust213–40.1215%2 Aug
inferno11–13-0.0421%1 Aug
nuke11–130.0316%1 Aug
inferno13–90.058%27 Jul
dust213–10.0422%27 Jul
inferno13–30.069%27 Jul
dust213–50.0727%27 Jul
mirage5–13-0.0414%26 Jul
nuke13–70.0713%26 Jul
inferno3–9-0.070%20 Jul
inferno4–9-0.059%20 Jul
mirage13–90.079%20 Jul
mirage3–50.0111%20 Jul
dust213–16-0.0116%19 Jul
dust213–40.0714%19 Jul
dust213–10.0816%18 Jul
dust21–13-0.1115%18 Jul
mirage3–13-0.105%17 Jul
nuke13–110.109%17 Jul
train12–120.0611%17 Jul
train13–60.1823%17 Jul

Match data via Leetify.

Recent teammates

Milestones

100 Matches19-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →