Neptunezz — CS2 Stats

76561198208705523[U:1:248439795]✓ No bans

558Tracked matches38%Win rate2021Tracked since
439Hours in CS
CSDB Rating2.9 Learning
Ladder ranks via Leetify

Performance scores

Aim18
Positioning45
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY345313Last 10034%Win rateLTLLWWTWLW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

Aim1.8
Aggression3.8
Utility4.0
Positioning4.5
Opening Duels1.4

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 70% playstyle similarity

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

Where you differ: lower utility contribution; 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. 700ms 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

Aim1.8
Positioning4.5
Utility4.0
Mechanics4.1
Opening Duels1.5
Win Impact0.8

Composite 2.9/10 (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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time706ms−22ms
first ⅓ avg 727ms → last ⅓ avg 706ms
Headshot accuracy8.9%−0.9%
first ⅓ avg 9.8% → last ⅓ avg 8.9%

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

0.10Best rating — mirage 7–13
133Biggest win — nuke
4Longest win streak
57In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 62% over 13ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D1941521%-0.01
infernoC156940%-0.02
nukeB157847%-0.01
mirageD1541127%-0.01
cacheA138562%-0.02
anubisD113827%-0.03
vertigoD62433%-0.03
ancientD5050%-0.07
train1010%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,697Lifetime kills
0.90K/D
1,322Matches
46.7%Match win rate · Top 50% of tracked players
27.6%Headshot %
5.6%Shot accuracy
1,803MVPs
439Hours (in match)
1,315Bombs planted
199Bombs defused

Most-used weapons

Lifetime map wins

5,120dust2
1,269inferno
1,089nuke
538vertigo
354train
82office
21italy
2bank

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

8.5%Headshot accuracy
31.0%Accuracy (enemy spotted)
33.2%Spray accuracy
68.5%Counter-strafing
14.0°Preaim
700msReaction time
29.0%T opening success
42.2%CT opening success
0.40Enemies flashed / flash
5.5%Flash assists
10.94HE damage / grenade
5.60Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.0407° — above the 12° mark we flag

    Aim Training
  2. 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 8.5047% — below the 15% mark we flag

    Aim Training
  3. 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 700.354ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Ancient

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 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust25–13-0.096%16 Jun
inferno12–12-0.078%16 Jun
nuke8–130.027%15 Jun
anubis5–130.0411%15 Jun
anubis13–6-0.0717%7 Jun
vertigo13–40.016%7 Jun
mirage12–120.029%6 Jun
nuke2–00.000%6 Jun
ancient3–13-0.087%6 Jun
cache10–10.0910%6 Jun
anubis1–13-0.049%6 Jun
dust212–120.0412%6 Jun
dust210–13-0.0113%4 Jun
nuke2–13-0.067%4 Jun
vertigo13–10-0.047%4 Jun
inferno12–12-0.019%1 Jun
dust23–130.0010%1 Jun
mirage11–13-0.0411%1 Jun
mirage15–150.037%1 Jun
nuke10–13-0.034%1 Jun
ancient2–13-0.072%1 Jun
ancient6–13-0.0813%1 Jun
mirage9–130.036%1 Jun
nuke13–30.058%1 Jun
anubis2–13-0.0513%1 Jun
anubis12–12-0.077%28 May
nuke11–13-0.026%28 May
mirage13–8-0.059%28 May
nuke13–4-0.008%28 May
anubis13–100.026%27 May
anubis12–12-0.066%27 May
cache7–13-0.0821%27 May
dust25–13-0.0617%27 May
nuke5–13-0.058%25 May
mirage12–12-0.037%25 May
dust27–130.0717%25 May
inferno13–100.0312%25 May
mirage11–130.015%22 May
inferno7–13-0.105%22 May
dust213–80.0511%22 May
nuke13–8-0.054%22 May
cache10–13-0.0610%20 May
vertigo9–13-0.0310%20 May
dust212–12-0.036%20 May
anubis10–130.016%20 May
cache13–90.0111%20 May
mirage7–130.105%19 May
inferno11–130.0111%19 May
nuke12–120.017%19 May
dust212–12-0.0313%19 May
mirage5–13-0.049%18 May
anubis11–13-0.0712%18 May
vertigo9–13-0.0611%18 May
inferno13–30.0416%17 May
anubis3–13-0.043%17 May
mirage13–5-0.014%14 May
dust210–13-0.069%14 May
nuke13–70.005%14 May
mirage8–13-0.054%14 May
inferno8–130.059%14 May
inferno6–13-0.0410%14 May
dust29–130.0018%14 May
nuke13–40.0416%14 May
dust212–120.029%14 May
nuke13–11-0.038%14 May
nuke7–130.0312%13 May
dust210–13-0.0210%13 May
vertigo12–12-0.013%13 May
inferno8–13-0.0719%13 May
ancient4–13-0.037%11 May
inferno9–13-0.0810%11 May
anubis13–70.0420%11 May
inferno13–8-0.0115%8 May
cache10–13-0.0213%6 May
dust213–110.016%6 May
dust213–30.009%6 May
cache13–9-0.0213%6 May
cache13–8-0.047%6 May
dust25–13-0.0510%5 May
dust28–13-0.018%5 May
vertigo10–13-0.074%5 May
cache11–13-0.0020%4 May
cache13–11-0.056%4 May
cache13–90.019%4 May
ancient3–13-0.0918%4 May
inferno13–80.047%4 May
inferno8–13-0.099%4 May
inferno13–10-0.008%3 May
mirage9–13-0.0314%3 May
mirage3–1-0.070%3 May
mirage5–130.079%3 May
cache2–9-0.0816%3 May
inferno13–7-0.0312%3 May
nuke11–130.0012%3 May
cache13–7-0.029%29 Apr
cache13–3-0.019%29 Apr
mirage13–8-0.026%27 Apr
train9–13-0.026%27 Apr
dust24–13-0.0212%27 Apr
dust26–20.010%27 Apr

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 →