Big Nutsack

Big Nutsack — CS2 Stats

76561199054554622[U:1:1094288894]Steam profile ↗

1,573Tracked matches30%Win rate2022Tracked since
1,817Hours in CS6Hrs last 2 wks
CSDB Rating2.1 Learning
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate38.1%42.1%42.1%4.0% short
Shot accuracy7.7%12.9%12.1%4.4% short
Kill/death ratio0.751.000.990.24 short
Match win rate39.0%42.9%43.9%4.8% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBig NutsackFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim17
Positioning40
Utility6

0–100 skill scores via Leetify.

Recent form

COLD33634Last 10033%Win rateLWWLLLLLLL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating

Player DNA

Aim1.7
Aggression5.3
Utility0.6
Positioning4.0
Opening Duels1.7
Clutch2.0

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 68% 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. 756ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim1.7
Positioning4.0
Utility0.6
Mechanics3.7
Opening Duels1.7
Win Impact0.0

Composite 2.1/10 (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-0.05−0.01
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time747ms+22ms
first ⅓ avg 725ms → last ⅓ avg 747ms
Headshot accuracy12.3%+2.5%
first ⅓ avg 9.9% → last ⅓ avg 12.3%

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.

Highlights

0.13Best rating — mirage 11–1
111Biggest win — mirage
3Longest win streak
67In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 71% over 7infernoWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
mirageD2772026%-0.03
dust2B189950%-0.05
nukeC156940%-0.04
infernoD111109%-0.14
cacheD113827%-0.07
ancientS75271%-0.02
anubis41325%-0.01
vertigo31233%-0.06
overpass2020%-0.13
office2020%-0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,787Lifetime kills
0.75K/D
2,803Matches
39.0%Match win rate
38.1%Headshot %
7.7%Shot accuracy
5,870MVPs
775Hours (in match)
2,658Bombs planted
479Bombs defused

Most-used weapons

AK-478,713
AWP3,044
XM10142,165
MAG-71,523
Knife704
MP7438

Lifetime map wins

3,201nuke
2,763dust2
2,061inferno
1,293vertigo
1,186office
459lake
382train
135cbble

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

Faceit stats

Combat

26Matches
35%Win rate
0.65Avg K/D
61.5ADR
33%Headshot %

Clutches & streaks

30%1v1 clutch win
14%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1030%0.6610.8
Dust2425%0.6210.5
Inferno425%0.7912.5
Ancient333%0.4911.0
Anubis2100%0.8312.5
Nuke250%0.5911.5

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.

11.9%Headshot accuracy
30.1%Accuracy (enemy spotted)
34.9%Spray accuracy
66.4%Counter-strafing
14.2°Preaim
756msReaction time
34.0%T opening success
39.3%CT opening success
0.03Enemies flashed / flash
0.0%Flash assists
8.73HE damage / grenade
0.11Flashes / 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 14.1863° — 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 11.9417% — 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 756.1403ms — above the 700ms mark we flag

    Aim Training
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.

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust28–13-0.1043%27 Aug
dust213–6-0.007%24 Aug
nuke13–100.0217%17 Aug
nuke11–13-0.068%17 Aug
inferno2–9-0.1815%8 Aug
nuke5–90.0012%8 Aug
cache4–13-0.110%5 Aug
nuke9–13-0.050%2 Aug
mirage9–13-0.0315%2 Aug
dust24–13-0.0614%2 Aug
nuke4–13-0.1318%2 Aug
dust20–13-0.097%29 Jul
ancient11–13-0.110%26 Jul
nuke6–13-0.090%26 Jul
mirage8–13-0.0415%26 Jul
nuke11–13-0.093%26 Jul
inferno1–9-0.260%26 Jul
cache4–13-0.1011%25 Jul
cache13–9-0.0015%25 Jul
mirage6–13-0.0711%22 Jul
mirage13–10-0.0219%21 Jul
dust213–10-0.0319%21 Jul
mirage11–10.1319%12 Jul
mirage7–13-0.079%11 Jul
mirage7–13-0.079%10 Jul
ancient16–130.029%10 Jul
mirage2–13-0.1017%10 Jul
cache13–90.0011%10 Jul
cache5–13-0.0418%9 Jul
dust213–10-0.0516%9 Jul
vertigo5–90.0325%4 Jul
mirage4–13-0.0316%3 Jul
mirage7–13-0.0410%3 Jul
mirage11–130.0110%27 Jun
inferno3–9-0.174%23 Jun
inferno3–9-0.1614%23 Jun
cache1–4-0.120%22 Jun
mirage11–13-0.044%21 Jun
anubis2–70.0417%20 Jun
nuke13–80.0414%18 Jun
mirage13–6-0.0511%18 Jun
inferno8–8-0.0118%18 Jun
dust213–7-0.068%15 Jun
mirage7–13-0.069%15 Jun
nuke8–13-0.077%15 Jun
inferno6–13-0.036%14 Jun
dust27–13-0.0713%14 Jun
mirage13–30.0015%14 Jun
inferno9–6-0.067%12 Jun
overpass5–9-0.056%12 Jun
inferno8–8-0.1110%12 Jun
vertigo9–5-0.0822%12 Jun
overpass5–9-0.2133%10 Jun
nuke8–8-0.116%10 Jun
cache5–13-0.123%9 Jun
office9–13-0.0813%9 Jun
dust213–100.0117%7 Jun
dust29–13-0.1114%5 Jun
mirage4–130.048%4 Jun
dust213–110.0213%4 Jun
cache4–13-0.0628%4 Jun
anubis10–13-0.0612%3 Jun
nuke13–11-0.0110%3 Jun
mirage13–11-0.037%3 Jun
mirage7–13-0.0614%1 Jun
mirage1–13-0.0617%1 Jun
mirage1–13-0.0512%1 Jun
dust29–13-0.1213%31 May
ancient16–140.019%31 May
nuke13–50.055%31 May
mirage9–13-0.026%30 May
office1–13-0.1319%30 May
nuke13–9-0.027%30 May
mirage13–11-0.057%30 May
mirage5–13-0.050%30 May
dust211–130.026%28 May
cache11–13-0.0810%28 May
nuke13–4-0.036%27 May
mirage7–130.0015%26 May
anubis1–13-0.0815%23 May
inferno1–9-0.1429%23 May
dust213–16-0.069%22 May
nuke3–13-0.100%22 May
mirage13–3-0.038%21 May
ancient9–13-0.0510%21 May
dust213–9-0.0512%21 May
dust28–13-0.0310%21 May
dust213–3-0.014%21 May
ancient13–110.017%20 May
ancient16–130.0511%20 May
mirage13–16-0.035%18 May
anubis13–50.0417%18 May
dust213–9-0.037%18 May
mirage10–13-0.0214%18 May
ancient13–8-0.053%17 May
inferno0–9-0.295%16 May
vertigo8–8-0.126%16 May
cache13–10-0.0614%16 May
inferno2–9-0.124%15 May
cache0–13-0.0433%15 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 →