NeXus — CS2 Stats

76561198122903731[U:1:162638003]

1,772Tracked matches72%Win rate2020Tracked since
5,249Hours in CS16Hrs last 2 wks
CSDB Rating6.6 SolidAggressive Rifler
Premier CS Rating20,678Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.8% of ranked players (population est.)
CSDB Leaderboard#13369 of 37306 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band medianRed band medianvs Red band
Headshot rate45.0%47.2%49.9%4.9% short
Shot accuracy18.0%12.7%13.4%above
Kill/death ratio1.471.091.12above
Match win rate51.3%46.6%48.4%above

This profile matches the typical Red band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNeXusPREMIER20,678 · Pink bandcsdb.gg/stats

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Performance scores

Aim85
Positioning52
Utility56

0–100 skill scores via Leetify.

Recent form

HOT53407Last 10053%Win rateLWWWLLWWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.5
Aggression7.9
Utility5.6
Positioning5.2
Opening Duels3.0
Clutch4.8

Sharp aimer

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 94% playstyle similarity

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

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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Aim8.5
Positioning5.2
Utility5.6
Mechanics5.2
Opening Duels3.0
Win Impact10.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time532ms−23ms
first ⅓ avg 555ms → last ⅓ avg 532ms
Headshot accuracy22.4%+2.9%
first ⅓ avg 19.5% → last ⅓ avg 22.4%

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

0.20Best rating — inferno 13–2
131Biggest win — inferno
6Longest win streak
84In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 71% over 7infernoWeakest map · 46% over 41
MapGradePlayedRecordWin rateAvg rating
infernoB41192246%0.02
dust2B25121348%0.00
cacheA127558%0.01
anubisS75271%-0.00
mirageS64267%0.02
ancient32167%0.01
nuke21150%0.05
vertigo21150%0.01
overpass110100%0.05
train110100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (46% over 41). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

160,817Lifetime kills
1.47K/D · Top 10% of Pink band
7,031Matches
51.3%Match win rate · Top 25% of Pink band
45.0%Headshot %
18.0%Shot accuracy · Top 10% of Pink band
33,229MVPs
2,277Hours (in match)
6,551Bombs planted
1,777Bombs defused

Most-used weapons

AWP36,314
AK-4730,419
SSG 085,215
Knife4,514
MP93,998
MAC-103,445

Lifetime map wins

23,378dust2
11,332inferno
3,107cbble
2,616vertigo
1,910nuke
488train
135lake
56safehouse

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

Faceit stats

Combat

299Matches
53%Win rate
1.11Avg K/D
86.0ADR
44%Headshot %

Clutches & streaks

44%1v1 clutch win
33%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno2864%1.2016.8
Anubis2152%1.3216.7
Dust21872%1.3018.7
Vertigo1533%1.1118.7
Ancient1080%1.0114.6
Mirage933%1.0716.3
Nuke667%1.3615.7
Overpass520%0.9616.8

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.

23.9%Headshot accuracy
36.0%Accuracy (enemy spotted)
40.5%Spray accuracy
73.4%Counter-strafing
7.9°Preaim
528msReaction time
39.9%T opening success
43.8%CT opening success
0.47Enemies flashed / flash
7.4%Flash assists
12.08HE damage / grenade
7.71Flashes / 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 0.4667 — 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 39.8519% — below the 40% mark we flag

Spend your practice time on Inferno

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

46% win rate across 41 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno6–9-0.0225%28 Aug
inferno9–5-0.0127%28 Aug
inferno9–40.0324%26 Aug
inferno9–5-0.0727%26 Aug
dust22–13-0.040%26 Aug
inferno5–11-0.0119%26 Aug
inferno13–9-0.0421%25 Aug
inferno9–50.1024%25 Aug
dust29–10.066%21 Aug
mirage13–40.0816%21 Aug
cache13–110.0121%21 Aug
cache8–13-0.0222%20 Aug
anubis9–130.0211%20 Aug
nuke13–20.0438%20 Aug
cache12–2-0.0214%19 Aug
dust210–13-0.0113%19 Aug
overpass13–50.0519%19 Aug
inferno4–9-0.1112%19 Aug
cache13–11-0.0330%18 Aug
anubis13–5-0.0418%18 Aug
inferno6–9-0.0418%18 Aug
dust214–160.0221%18 Aug
inferno13–10.0842%18 Aug
inferno3–130.0548%15 Aug
inferno13–11-0.0215%15 Aug
dust215–15-0.0147%15 Aug
inferno9–30.0519%14 Aug
inferno13–60.0013%14 Aug
cache13–100.0628%14 Aug
ancient13–8-0.0220%14 Aug
cache16–130.0330%13 Aug
dust29–13-0.0123%12 Aug
inferno5–9-0.1731%12 Aug
inferno7–90.0626%12 Aug
train13–30.0522%12 Aug
inferno8–80.0220%8 Aug
dust213–40.0235%8 Aug
dust213–90.0437%7 Aug
mirage13–40.0015%7 Aug
inferno2–00.1440%7 Aug
inferno13–90.0320%6 Aug
mirage12–160.0222%6 Aug
inferno11–13-0.0222%6 Aug
dust21–13-0.114%5 Aug
dust213–10-0.0416%5 Aug
inferno6–13-0.0424%5 Aug
ancient4–13-0.0123%5 Aug
cache13–110.0422%5 Aug
inferno13–20.2021%4 Aug
inferno1–9-0.1515%4 Aug
inferno10–130.0719%3 Aug
dust24–13-0.044%3 Aug
mirage13–90.0128%3 Aug
dust29–13-0.0230%3 Aug
dust213–20.0625%24 Jul
anubis10–13-0.0415%24 Jul
inferno13–40.2011%24 Jul
dust213–30.0926%24 Jul
anubis13–9-0.028%24 Jul
inferno9–70.1324%19 Jul
anubis13–20.0511%18 Jul
ancient13–50.0431%18 Jul
inferno15–15-0.018%17 Jul
cache10–13-0.0215%17 Jul
anubis13–10-0.008%17 Jul
cache7–130.0628%17 Jul
cache13–6-0.017%17 Jul
dust213–70.0221%17 Jul
inferno10–13-0.0224%15 Jul
inferno7–90.0329%15 Jul
inferno9–50.0215%15 Jul
inferno5–90.0724%15 Jul
nuke15–150.0614%13 Jul
inferno13–10.0620%13 Jul
inferno9–20.1823%12 Jul
inferno7–130.1319%12 Jul
inferno3–9-0.090%12 Jul
inferno9–30.0716%12 Jul
inferno8–80.0613%11 Jul
cache12–12-0.0014%10 Jul
anubis13–80.0119%10 Jul
inferno13–2-0.0116%10 Jul
mirage1–13-0.0125%10 Jul
inferno4–9-0.1225%8 Jul
dust26–13-0.0218%21 Jun
inferno8–8-0.0928%18 Jun
dust29–13-0.0326%16 Jun
dust213–80.0223%16 Jun
dust213–90.0522%14 Jun
inferno10–13-0.0615%7 Jun
vertigo9–130.0130%6 Jun
dust213–40.0617%5 Jun
vertigo13–110.0220%3 Jun
dust27–130.0113%3 Jun
dust21–13-0.0114%3 Jun
dust213–110.0220%31 May
cache4–130.0235%31 May
dust23–13-0.0418%30 May
mirage13–50.0418%25 May
dust213–90.0210%24 May

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 →