nut bucket

nut bucket — CS2 Stats

US76561197961097392[U:1:831664]Steam profile ↗✓ No bans

1,101Tracked matches62%Win rate2020Tracked since
CSDB Rating6.2 SolidHybrid Rifler
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGnut bucketFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim64
Positioning60
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY44524Last 10044%Win rateLTWLWWLLWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression8.6
Utility6.1
Positioning6.0
Opening Duels3.7
Clutch0.0

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

b1t

Plays most like b1t 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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. 599ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim6.4
Positioning6.0
Utility6.1
Mechanics5.9
Opening Duels3.7
Win Impact9.0

Composite 6.2/10 (Solid), 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 rating0.00+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time611ms+17ms
first ⅓ avg 594ms → last ⅓ avg 611ms
Headshot accuracy20.9%+0.3%
first ⅓ avg 20.6% → last ⅓ avg 20.9%

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 — ancient 13–5
132Biggest win — train
4Longest win streak
911In matches decided by ≤2 rounds
9Overtime games

Map breakdown

trainBest map · 100% over 5infernoWeakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
dust2B22111150%0.01
infernoD2161529%-0.02
nukeC1761135%-0.00
overpassC104640%-0.00
mirageC73443%0.00
ancientS75271%0.04
trainS550100%-0.00
anubis42250%-0.03
vertigo2020%-0.08
poseidon21150%0.06
grail2020%-0.01
debris110100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

157Matches
54%Win rate
1.08Avg K/D
77.8ADR
43%Headshot %

Clutches & streaks

20%1v1 clutch win
7%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno2446%0.8913.8
Anubis1759%1.1313.2
Dust21662%1.1316.4
Ancient1331%0.9414.7
Nuke1267%1.2617.9
Mirage1155%0.9715.0
Vertigo30%0.6812.7
Overpass10%1.1317.0

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.

19.4%Headshot accuracy
32.2%Accuracy (enemy spotted)
33.4%Spray accuracy
76.7%Counter-strafing
9.0°Preaim
599msReaction time
49.1%T opening success
40.7%CT opening success
0.60Enemies flashed / flash
4.6%Flash assists
13.62HE damage / grenade
8.05Flashes / match

Recommended for you

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.

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo7–9-0.0714%22 Aug
inferno8–8-0.0223%22 Aug
debris9–20.037%22 Aug
poseidon7–9-0.0713%22 Aug
inferno16–13-0.0421%1 Aug
dust213–100.0423%1 Aug
nuke3–13-0.0237%26 Jul
mirage5–130.0414%26 Jul
ancient13–50.1816%26 Jul
inferno13–5-0.0110%27 Jun
overpass10–130.0222%20 Jun
ancient13–11-0.0420%20 Jun
dust213–30.0816%20 Jun
inferno3–9-0.1050%7 Mar
poseidon6–20.1843%7 Mar
vertigo4–9-0.0922%27 Feb
anubis7–13-0.0616%26 Feb
train13–11-0.0325%25 Feb
train13–7-0.0133%25 Feb
inferno4–130.0620%12 Feb
anubis10–130.0120%12 Feb
nuke13–60.0424%12 Feb
dust210–130.0219%12 Feb
anubis13–11-0.059%7 Feb
overpass13–50.0724%7 Feb
nuke15–15-0.0514%7 Feb
dust213–11-0.0115%7 Feb
nuke13–100.0521%5 Feb
ancient8–130.0616%5 Feb
inferno10–13-0.0015%1 Feb
nuke7–130.0227%1 Feb
overpass13–10-0.0424%1 Feb
mirage14–16-0.0115%31 Jan
ancient13–110.0512%31 Jan
dust213–110.0627%31 Jan
inferno13–70.0919%31 Jan
nuke13–6-0.0416%31 Jan
dust28–13-0.0128%31 Jan
inferno13–110.059%24 Jan
anubis13–6-0.0110%24 Jan
dust214–160.0530%24 Jan
nuke13–60.0820%2 Jan
inferno3–9-0.1112%24 Dec
train13–70.0516%19 Dec
inferno8–13-0.008%19 Dec
nuke8–13-0.0320%25 Oct
ancient11–13-0.0130%25 Oct
dust28–13-0.0515%14 Sept
ancient16–13-0.0316%14 Sept
inferno10–13-0.0324%14 Sept
dust213–10-0.0426%14 Sept
nuke7–13-0.0113%13 Sept
dust29–13-0.0316%13 Sept
inferno5–130.0619%7 Sept
train13–2-0.0112%7 Sept
mirage8–13-0.0522%7 Sept
dust24–13-0.0327%7 Sept
dust213–70.0522%5 Sept
inferno16–130.0427%5 Sept
mirage13–60.0219%5 Sept
nuke9–13-0.0422%3 Sept
dust213–80.0220%3 Sept
nuke11–130.0317%3 Sept
train13–7-0.0220%2 Sept
grail4–13-0.0416%30 Aug
grail12–120.0213%27 Aug
inferno11–13-0.0024%25 Aug
mirage13–20.0127%25 Aug
nuke2–9-0.135%25 Aug
inferno2–9-0.1329%25 Aug
nuke10–13-0.0325%19 Aug
overpass8–13-0.0018%19 Aug
dust29–13-0.0314%13 Aug
dust29–13-0.0123%13 Aug
nuke13–110.0230%13 Aug
dust28–130.0636%13 Aug
inferno2–9-0.1736%12 Aug
nuke14–160.0223%1 Aug
overpass13–11-0.0520%1 Aug
nuke10–13-0.0032%30 Jul
inferno11–130.0213%30 Jul
overpass8–13-0.0225%26 Jul
inferno15–150.0026%26 Jul
inferno13–50.0223%25 Jul
overpass13–7-0.0322%25 Jul
dust213–70.0110%25 Jul
overpass11–13-0.0014%23 Jul
mirage12–160.0119%23 Jul
dust24–13-0.0420%21 Jul
overpass11–13-0.0116%21 Jul
ancient13–90.0423%21 Jul
dust20–13-0.0320%20 Jul
nuke13–70.0617%17 Jul
dust213–20.0611%17 Jul
overpass10–130.0224%17 Jul
mirage13–10-0.0124%11 Jul
dust213–50.0410%11 Jul
dust213–9-0.0215%11 Jul
inferno9–13-0.0611%11 Jul
inferno5–13-0.0819%8 Jul

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 →