Banana Butt

Banana Butt — CS2 Stats

US76561198008933133[U:1:48667405]Steam profile ↗

519Tracked matches52%Win rate2020Tracked since
2,234Hours in CS7Hrs last 2 wks
CSDB Rating3.6 Learning
Premier CS Rating11,618Blue band · top ~46.3% of ranked players (population est.)
CSDB Leaderboard#28964 of 41596 tracked
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=230), 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 1 medianLevel 2 medianvs Level 2
Headshot rate29.3%41.1%41.2%11.9% short
Shot accuracy18.7%14.1%12.5%above
Kill/death ratio1.120.970.96above
Match win rate40.9%41.9%42.8%1.9% short

This profile matches the typical Level 2 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBanana ButtFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER11,618 · Blue bandcsdb.gg/stats

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Performance scores

Aim44
Positioning30
Utility50

0–100 skill scores via Leetify.

Recent form

COLD54451Last 10054%Win rateTLLLWWLWLL

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

Player DNA

Aim4.4
Aggression1.4
Utility5.0
Positioning3.0
Opening Duels0.0

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 67% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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 36% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 566ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim4.4
Positioning3.0
Utility5.0
Mechanics3.2
Opening Duels0.8
Win Impact5.6

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time548ms−38ms
first ⅓ avg 586ms → last ⅓ avg 548ms
Headshot accuracy12.0%−4.1%
first ⅓ avg 16.1% → 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

0.09Best rating — cache 13–5
131Biggest win — mirage
4Longest win streak
46In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 92% over 13infernoWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
nukeB189950%-0.05
infernoC1871139%-0.02
cacheB189950%-0.02
ancientB157847%-0.02
dust2B158753%-0.03
mirageS1312192%-0.02
anubis32167%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,858Lifetime kills
1.12K/D · Top 25% of Level 1 players
2,778Matches
40.9%Match win rate
29.3%Headshot %
18.7%Shot accuracy · Top 10% of Level 1 players
4,413MVPs
1,309Hours (in match)
3,044Bombs planted
568Bombs defused

Most-used weapons

AK-4715,206
AWP14,022
P2502,790
Tec-92,230
FAMAS1,927
P901,756

Lifetime map wins

4,763inferno
4,228dust2
1,680nuke
895train
407cbble
263vertigo
168lake
102office

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.

13.4%Headshot accuracy
33.0%Accuracy (enemy spotted)
33.8%Spray accuracy
64.4%Counter-strafing
11.1°Preaim
566msReaction time
13.9%T opening success
36.4%CT opening success
0.46Enemies flashed / flash
3.7%Flash assists
8.35HE damage / grenade
9.84Flashes / 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 13.3794% — 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 0.4638 — 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 13.8878% — 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.

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient12–12-0.0119%19 Aug
nuke0–3-0.100%17 Aug
ancient11–13-0.0518%17 Aug
inferno5–13-0.0520%17 Aug
mirage13–2-0.0420%16 Aug
cache13–9-0.0717%16 Aug
inferno8–13-0.0313%15 Aug
nuke13–7-0.0510%15 Aug
cache10–130.0311%15 Aug
ancient7–13-0.0211%15 Aug
mirage13–7-0.095%14 Aug
anubis13–80.015%14 Aug
dust213–11-0.0513%14 Aug
ancient0–3-0.070%14 Aug
dust211–13-0.0319%14 Aug
inferno9–13-0.088%14 Aug
mirage13–110.0013%14 Aug
anubis8–13-0.080%14 Aug
inferno13–100.0419%13 Aug
anubis13–7-0.0322%13 Aug
mirage13–10.0215%13 Aug
ancient7–13-0.058%13 Aug
ancient13–100.0211%13 Aug
mirage9–13-0.0614%13 Aug
dust213–80.0119%13 Aug
nuke5–13-0.145%13 Aug
mirage13–8-0.0227%12 Aug
cache13–6-0.0215%12 Aug
inferno13–7-0.038%12 Aug
inferno9–13-0.0614%12 Aug
cache13–10-0.003%12 Aug
dust213–7-0.0412%12 Aug
dust22–13-0.080%11 Aug
inferno10–13-0.002%11 Aug
cache9–13-0.068%11 Aug
dust22–13-0.0520%11 Aug
nuke13–9-0.009%11 Aug
cache13–70.0518%11 Aug
inferno13–10.040%10 Aug
cache13–6-0.0111%10 Aug
inferno4–13-0.0413%10 Aug
nuke13–6-0.029%10 Aug
mirage13–6-0.0911%10 Aug
cache13–16-0.0611%10 Aug
dust213–6-0.0514%9 Aug
ancient5–13-0.076%9 Aug
inferno13–100.0527%9 Aug
mirage13–20.0316%9 Aug
cache9–13-0.0215%9 Aug
dust213–8-0.0015%9 Aug
nuke7–13-0.0016%9 Aug
nuke6–13-0.027%9 Aug
mirage13–10-0.0513%8 Aug
nuke13–60.0114%8 Aug
mirage13–60.0410%8 Aug
inferno9–13-0.026%8 Aug
mirage13–50.0513%8 Aug
ancient13–100.0220%8 Aug
mirage13–9-0.0823%7 Aug
ancient3–13-0.0519%6 Aug
dust213–60.0930%6 Aug
cache13–80.0117%6 Aug
nuke13–11-0.099%5 Aug
inferno13–2-0.026%5 Aug
dust26–13-0.0018%5 Aug
ancient13–20.0514%5 Aug
dust213–7-0.0514%5 Aug
cache10–13-0.1210%5 Aug
cache13–50.0926%5 Aug
nuke5–13-0.0512%4 Aug
inferno11–130.0018%4 Aug
inferno5–13-0.058%3 Aug
nuke13–80.0224%2 Aug
nuke10–130.0021%2 Aug
cache13–8-0.0616%2 Aug
ancient13–4-0.0110%2 Aug
ancient8–130.0116%2 Aug
nuke13–4-0.086%2 Aug
mirage16–140.009%2 Aug
inferno4–13-0.085%2 Aug
dust29–13-0.0813%2 Aug
ancient13–10-0.0714%1 Aug
nuke6–13-0.083%1 Aug
inferno2–13-0.0311%1 Aug
inferno13–80.0210%1 Aug
nuke16–12-0.0717%31 Jul
dust28–13-0.0113%31 Jul
dust216–12-0.0617%31 Jul
cache1–13-0.0857%31 Jul
nuke13–9-0.064%31 Jul
cache13–30.018%31 Jul
dust211–13-0.0413%31 Jul
cache11–13-0.0624%30 Jul
ancient13–10.0112%30 Jul
cache13–16-0.0420%29 Jul
nuke7–13-0.1167%27 Jul
cache5–130.0014%27 Jul
ancient13–9-0.0317%27 Jul
nuke14–16-0.0312%27 Jul
inferno13–7-0.026%27 Jul

Match data via Leetify.

Milestones

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