Nutter Butter eSports Player — CS2 Stats

76561198280817834[U:1:320552106]

267Tracked matches58%Win rate2023Tracked since
291Hours in CS
CSDB Rating4.6 Developing
Ladder ranks via Leetify

Performance scores

Aim53
Positioning48
Utility27

0–100 skill scores via Leetify.

Recent form

HOT583210Last 10058%Win rateLLWWWTWWWW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

Aim5.3
Aggression3.7
Utility2.7
Positioning4.8
Opening Duels0.2

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

NiKo

Plays most like NiKo 76% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

T-side openings. Opening success drops from 40% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim5.3
Positioning4.8
Utility2.7
Mechanics5.3
Opening Duels1.2
Win Impact7.6

Composite 4.6/10 (Developing), 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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time592ms+18ms
first ⅓ avg 574ms → last ⅓ avg 592ms
Headshot accuracy12.0%−0.1%
first ⅓ avg 12.1% → last ⅓ avg 12.0%

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 — vertigo 13–11
132Biggest win — anubis
7Longest win streak
L2Current streak
67In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 86% over 7infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
trainA1610663%0.01
nukeA138562%0.00
vertigoS119282%0.01
anubisB105550%-0.00
infernoD103730%-0.03
dust2B84450%-0.00
cacheA85363%0.00
ancientS76186%-0.01
overpassS64267%0.03
officeC52340%0.05
mirage41325%-0.02
italy110100%0.04
poseidon1010%-0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,689Lifetime kills
0.86K/D
1,064Matches
39.4%Match win rate
29.7%Headshot %
10.2%Shot accuracy
1,027MVPs
291Hours (in match)
871Bombs planted
129Bombs defused

Most-used weapons

Lifetime map wins

785dust2
720nuke
643inferno
492office
383train
327vertigo
143italy
50assault

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.

11.8%Headshot accuracy
35.0%Accuracy (enemy spotted)
36.7%Spray accuracy
74.1%Counter-strafing
10.8°Preaim
599msReaction time
21.9%T opening success
40.0%CT opening success
0.34Enemies flashed / flash
3.1%Flash assists
4.98HE damage / grenade
3.11Flashes / 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. 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 11.7586% — 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 0.3442 — 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 21.9389% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis1–13-0.0014%1 Aug
office11–13-0.0111%1 Aug
ancient13–50.0610%1 Aug
italy11–30.047%23 Jul
vertigo13–80.0119%23 Jul
anubis12–120.058%22 Jul
train13–50.0713%19 Jul
nuke13–5-0.018%19 Jul
anubis13–10-0.087%19 Jul
nuke13–7-0.039%16 Jul
inferno7–13-0.0415%16 Jul
inferno6–13-0.045%14 Jul
nuke13–110.058%14 Jul
dust210–13-0.0317%14 Jul
anubis13–2-0.0511%14 Jul
cache12–12-0.0014%14 Jul
ancient11–13-0.0715%12 Jul
ancient13–70.017%12 Jul
dust213–30.0222%12 Jul
train8–13-0.066%12 Jul
inferno13–10-0.0312%12 Jul
nuke9–13-0.0123%9 Jul
cache6–130.0017%9 Jul
mirage2–13-0.0811%9 Jul
inferno12–120.0210%9 Jul
dust213–60.069%9 Jul
vertigo12–12-0.0513%8 Jul
anubis13–7-0.024%8 Jul
train9–13-0.0613%8 Jul
nuke13–11-0.0114%5 Jul
cache13–10-0.0510%5 Jul
ancient13–5-0.0618%5 Jul
overpass13–60.0316%4 Jul
vertigo13–20.069%4 Jul
mirage6–0-0.0217%4 Jul
nuke5–130.0110%4 Jul
train13–70.0221%4 Jul
train13–30.0616%3 Jul
cache13–40.0215%3 Jul
office12–60.0810%3 Jul
overpass13–50.0813%3 Jul
vertigo13–110.0013%3 Jul
anubis13–100.0314%3 Jul
nuke12–12-0.049%3 Jul
inferno1–13-0.049%2 Jul
train11–1-0.027%2 Jul
train12–120.0310%1 Jul
office13–50.0311%1 Jul
vertigo13–110.1017%1 Jul
vertigo13–90.0112%30 Jun
inferno13–16-0.074%30 Jun
dust213–70.0110%30 Jun
overpass11–13-0.0217%30 Jun
nuke13–6-0.0219%30 Jun
vertigo13–60.0716%29 Jun
inferno8–130.0215%29 Jun
inferno13–11-0.039%27 Jun
dust213–5-0.028%27 Jun
mirage9–13-0.0016%27 Jun
nuke13–50.047%26 Jun
anubis10–13-0.0013%25 Jun
nuke13–70.059%25 Jun
ancient13–11-0.0510%25 Jun
inferno13–6-0.0012%25 Jun
office12–120.0811%25 Jun
cache5–13-0.078%21 Jun
mirage12–120.0111%21 Jun
overpass13–50.0912%21 Jun
train13–4-0.0311%21 Jun
dust22–13-0.0411%20 Jun
train12–12-0.038%20 Jun
train10–130.0114%20 Jun
train13–30.0414%19 Jun
train13–50.0814%18 Jun
nuke13–40.0514%14 Jun
anubis11–13-0.017%11 Jun
train13–6-0.0212%11 Jun
vertigo5–9-0.1535%11 Jun
inferno2–9-0.064%11 Jun
dust211–130.0216%10 Jun
train11–13-0.055%10 Jun
cache13–20.024%10 Jun
vertigo9–4-0.0710%9 Jun
poseidon5–9-0.1311%9 Jun
cache13–70.0710%8 Jun
train13–7-0.028%7 Jun
train13–40.089%7 Jun
vertigo13–80.069%7 Jun
vertigo13–50.0217%7 Jun
overpass5–13-0.059%5 Jun
ancient13–100.028%4 Jun
cache13–20.0414%4 Jun
office7–130.058%4 Jun
nuke9–13-0.0413%31 May
nuke11–130.0115%28 May
overpass13–30.0710%28 May
ancient13–30.0017%28 May
dust26–13-0.0224%28 May
anubis12–120.047%27 May
anubis13–60.0018%27 May

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →