BANANO

BANANO — CS2 Stats

ES76561198037103996[U:1:76838268]Steam profile ↗✓ No bans

842Tracked matches50%Win rate2021Tracked since
4,166Hours in CS51Hrs last 2 wks
CSDB Rating5.5 SolidAggressive Rifler
Premier CS Rating13,609Blue band · top ~35.8% of ranked players (population est.)
CSDB Leaderboard#36447 of 56582 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=1,571), 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 6 medianLevel 7 medianvs Level 7
Headshot rate44.9%44.7%46.1%1.1% short
Shot accuracy15.7%11.9%12.6%above
Kill/death ratio0.931.041.050.12 short
Match win rate34.6%45.2%45.7%11.1% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBANANOFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER13,609 · Blue bandcsdb.gg/stats

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Performance scores

Aim79
Positioning50
Utility47

0–100 skill scores via Leetify.

Recent form

HOT43525Last 10043%Win rateLWWWWWLWWL

Last 10 vs previous 10: +30pp win rate · -0.02 avg rating

Player DNA

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

Aim7.9
Aggression7.2
Utility4.7
Positioning5.0
Opening Duels2.6
Clutch0.2

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

b1t

Plays most like b1t 90% playstyle similarity

Most alike: opening-duel success, 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 631ms 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

Aim7.9
Positioning5.0
Utility4.7
Mechanics6.5
Opening Duels2.6
Win Impact5.0

Composite 5.5/10 (Solid), 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-0.00+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time636ms−54ms
first ⅓ avg 690ms → last ⅓ avg 636ms
Headshot accuracy26.4%+4.3%
first ⅓ avg 22.1% → last ⅓ avg 26.4%

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

0.18Best rating — inferno 9–6
130Biggest win — inferno
5Longest win streak
67In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 55% over 38anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA38211755%-0.01
dust2C167944%-0.03
ancientD1551033%0.00
cacheB157847%-0.00
anubisD61517%-0.02
train42250%-0.00
mirage4040%-0.05
vertigo2020%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

110,047Lifetime kills
0.93K/D
6,794Matches
34.6%Match win rate
44.9%Headshot % · Top 50% of Level 6 players
15.7%Shot accuracy · Top 25% of Level 6 players
13,246MVPs
2,236Hours (in match)
4,938Bombs planted
1,079Bombs defused

Most-used weapons

AK-4724,436
AWP21,361
MP73,938
Knife2,898
SSG 082,457
P902,153

Lifetime map wins

12,720dust2
12,712inferno
2,858lake
1,271vertigo
1,015cbble
973train
760nuke
234safehouse

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

Faceit stats

Combat

70Matches
46%Win rate
0.89Avg K/D
72.7ADR
46%Headshot %

Clutches & streaks

21%1v1 clutch win
6%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1050%0.8014.6
Inferno875%1.2316.4
Dust2729%0.8215.9
Ancient667%0.7814.0
Overpass250%1.5817.0

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.

23.5%Headshot accuracy
36.5%Accuracy (enemy spotted)
41.4%Spray accuracy
79.1%Counter-strafing
9.2°Preaim
631msReaction time
41.1%T opening success
39.9%CT opening success
0.54Enemies flashed / flash
9.5%Flash assists
6.06HE damage / grenade
6.56Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.8587% — below the 40% mark we flag

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
train2–13-0.0824%30 Aug
inferno13–4-0.0432%30 Aug
ancient13–50.0426%30 Aug
dust213–11-0.0124%30 Aug
ancient13–7-0.0228%30 Aug
inferno9–30.1164%30 Aug
dust29–13-0.0423%30 Aug
dust213–10-0.0512%29 Aug
dust213–10-0.0415%29 Aug
ancient11–13-0.0229%29 Aug
cache13–10-0.0015%29 Aug
anubis6–130.037%28 Aug
cache3–13-0.0524%28 Aug
train13–100.1130%28 Aug
inferno3–9-0.0550%28 Aug
cache13–100.0223%27 Aug
ancient16–120.0122%27 Aug
inferno8–13-0.0256%27 Aug
mirage7–13-0.0130%27 Aug
anubis8–13-0.0326%27 Aug
anubis2–13-0.068%26 Aug
inferno9–30.1246%26 Aug
cache8–13-0.0414%26 Aug
cache13–60.0139%26 Aug
cache13–110.0629%24 Aug
inferno13–100.0417%24 Aug
inferno8–8-0.0517%24 Aug
dust213–16-0.0117%24 Aug
inferno13–00.1732%23 Aug
inferno13–40.0320%23 Aug
anubis5–13-0.0720%23 Aug
train3–13-0.0733%23 Aug
mirage4–13-0.0920%23 Aug
vertigo7–13-0.0315%23 Aug
cache9–130.0332%23 Aug
inferno9–40.0317%23 Aug
inferno7–9-0.1520%22 Aug
inferno9–50.0827%21 Aug
anubis16–140.0228%20 Aug
inferno13–80.0415%20 Aug
ancient10–13-0.0529%20 Aug
dust211–13-0.0419%20 Aug
inferno13–110.0518%20 Aug
inferno6–9-0.1040%19 Aug
inferno9–5-0.0575%19 Aug
inferno4–9-0.0857%19 Aug
inferno4–90.0429%19 Aug
dust213–6-0.0814%17 Aug
inferno7–130.0624%16 Aug
dust211–13-0.0424%16 Aug
ancient8–13-0.0026%16 Aug
cache6–130.0324%16 Aug
dust210–13-0.0125%16 Aug
inferno9–60.1836%16 Aug
inferno2–9-0.1817%16 Aug
ancient9–130.0225%16 Aug
inferno9–4-0.0129%15 Aug
train13–50.0337%15 Aug
vertigo3–13-0.0633%14 Aug
cache9–13-0.0131%14 Aug
dust27–13-0.0121%14 Aug
mirage1–13-0.0911%13 Aug
dust210–13-0.0118%13 Aug
cache7–13-0.087%10 Aug
cache16–130.0120%10 Aug
dust213–8-0.0424%10 Aug
ancient13–16-0.0515%10 Aug
inferno13–2-0.0319%10 Aug
inferno4–13-0.0627%9 Aug
dust27–13-0.0118%9 Aug
inferno13–9-0.0423%9 Aug
ancient13–50.0319%9 Aug
inferno4–13-0.0224%9 Aug
ancient13–110.0622%9 Aug
ancient15–150.0125%8 Aug
inferno9–5-0.026%8 Aug
inferno6–9-0.0722%8 Aug
dust25–13-0.0630%7 Aug
inferno15–15-0.0413%6 Aug
inferno9–5-0.0419%6 Aug
inferno8–13-0.0515%5 Aug
cache11–13-0.0115%5 Aug
anubis4–130.0214%5 Aug
ancient5–130.0130%5 Aug
ancient15–150.0315%5 Aug
inferno7–9-0.0223%5 Aug
inferno10–13-0.0511%3 Aug
cache7–13-0.0329%3 Aug
inferno2–13-0.1023%3 Aug
ancient15–150.0419%3 Aug
inferno13–1-0.0312%3 Aug
inferno13–7-0.0429%3 Aug
cache13–11-0.0218%3 Aug
ancient14–16-0.0415%2 Aug
dust213–8-0.0248%2 Aug
dust213–90.0419%2 Aug
inferno13–40.0238%2 Aug
cache13–100.0324%2 Aug
mirage8–130.0037%2 Aug
inferno9–5-0.0427%2 Aug

Match data via Leetify.

Recent teammates

Milestones

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