Banaani

Banaani — CS2 Stats

76561199514066483[U:1:1553800755]Steam profile ↗✓ No bans

176Tracked matches66%Win rate2023Tracked since
CSDB Rating7.5 StrongAll-Rounder
Premier CS Rating17,986Purple band · top ~16.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 176 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,986 +3,806 23 Apr – 11 Nov · 23 days played
11,53518,220peak 18,22023 Apr11 Nov
18,220Peak Premier in tracked matches
36Days played since 2026-04-23

Premier CS Rating

  • 234 below peak (18,220)
  • +5,592 over 90 days
  • Next: Pink band at 20,000 — 2,014 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-07
  • Blue band first seen 2026-09-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGBanaaniPREMIER17,986 · Purple bandcsdb.gg/stats

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Performance scores

Aim85
Positioning68
Utility62

0–100 skill scores via Leetify.

Recent form

HOT58–39–3Last 10058%Win rateLLWWWWWWWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +0.4pp headshot accuracy · −15ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.10
  • Avg headshot accuracy 17%
  • Avg reaction 486ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 16%
  • Avg reaction 483ms

Last 20

  • 16–4 · 80% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 16%
  • Avg reaction 490ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.5
Utility6.2
Positioning6.8
Opening Duels5.6

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

m0NESY

Plays most like m0NESY 96% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success.

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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 63% on T to 48% on CT — first contacts on the defending side are being lost.

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

Aim8.5
Positioning6.8
Utility6.2
Mechanics6.8
Opening Duels6.5
Win Impact10.0

Composite 7.5/10 (Strong), 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 rating0.05−0.01
first ⅓ avg 0.06 → last ⅓ avg 0.05
Reaction time506ms−68ms
first ⅓ avg 574ms → last ⅓ avg 506ms
Headshot accuracy18.1%−2.5%
first ⅓ avg 20.5% → last ⅓ avg 18.1%

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.

Personal bests

0.28Best match rating · 9–2 · nuke, 4 Aug →
100%Best headshot accuracy · 3–13 · cache, 8 Aug →
391msFastest reaction time · 13–4 · cache, 7 Nov →
13–1Biggest win · nuke, 11 Aug →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L2Current streak
6–3In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 73% over 26ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
nukeS2619–773%0.08
infernoA2314–961%0.07
cacheA138–562%0.04
mirageC125–742%0.04
ancientC83–538%0.04
dust2—41–325%0.06
anubis—42–250%0.05
office—42–250%0.04
vertigo—32–167%0.11
overpass—21–150%0.06
train—11–0100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.6%Headshot accuracy
38.6%Accuracy (enemy spotted)
42.6%Spray accuracy
80.7%Counter-strafing
8.9°Preaim
513msReaction time
63.4%T opening success
48.4%CT opening success
0.67Enemies flashed / flash
6.2%Flash assists
15.37HE damage / grenade
15.98Flashes / match

Recommended for you

Spend your practice time on Ancient

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–130.0721%11 Nov →
dust23–130.0311%11 Nov →
nuke13–80.1110%11 Nov →
anubis13–70.1524%10 Nov →
cache13–40.1118%7 Nov →
dust213–70.0411%5 Nov →
mirage13–20.0823%5 Nov →
mirage13–70.0924%5 Nov →
cache13–110.0714%4 Nov →
nuke16–140.029%4 Nov →
cache13–4-0.0115%4 Nov →
nuke13–70.1022%4 Nov →
office8–130.0410%4 Nov →
cache13–110.0124%4 Nov →
cache13–40.0921%4 Nov →
nuke13–80.0117%3 Nov →
nuke10–130.0617%2 Nov →
inferno13–70.1411%2 Nov →
office13–50.1110%2 Nov →
train13–90.0413%8 Oct →
mirage3–130.0629%16 Sept →
nuke5–13-0.0217%16 Sept →
nuke13–90.0425%10 Sept →
office12–12-0.0227%10 Sept →
mirage10–130.1120%10 Sept →
overpass7–130.0317%9 Sept →
ancient3–130.0623%9 Sept →
inferno13–70.0610%9 Sept →
nuke13–90.0622%5 Sept →
ancient1–5-0.0613%4 Sept →
nuke5–13-0.0123%4 Sept →
office13–60.0316%31 Aug →
inferno0–13-0.0429%31 Aug →
nuke13–70.1118%29 Aug →
nuke13–70.168%28 Aug →
mirage9–0-0.058%28 Aug →
inferno13–90.0013%28 Aug →
inferno13–50.1018%28 Aug →
inferno9–130.0518%24 Aug →
nuke10–13-0.059%24 Aug →
mirage6–130.0311%24 Aug →
cache12–16-0.0519%22 Aug →
inferno5–130.0412%21 Aug →
cache13–60.028%21 Aug →
inferno13–100.0924%21 Aug →
vertigo13–20.1820%21 Aug →
ancient3–130.0315%18 Aug →
nuke13–90.1419%18 Aug →
mirage4–13-0.0314%17 Aug →
nuke16–120.1116%16 Aug →
ancient13–70.0117%16 Aug →
nuke13–50.1519%16 Aug →
nuke13–60.1526%16 Aug →
inferno13–70.0114%16 Aug →
nuke13–60.0117%16 Aug →
ancient7–00.0617%16 Aug →
anubis5–130.0430%15 Aug →
inferno13–40.2116%15 Aug →
inferno7–130.0714%14 Aug →
mirage7–13-0.0014%14 Aug →
nuke13–110.0828%14 Aug →
dust24–130.0825%14 Aug →
inferno13–20.1911%14 Aug →
cache4–13-0.0411%14 Aug →
inferno13–100.1916%14 Aug →
inferno13–50.017%11 Aug →
cache13–70.0410%11 Aug →
nuke13–10.1214%11 Aug →
nuke13–30.0510%11 Aug →
inferno15–150.0518%11 Aug →
inferno7–13-0.0028%11 Aug →
vertigo12–120.0916%11 Aug →
vertigo13–20.0721%8 Aug →
nuke7–130.0321%8 Aug →
anubis7–13-0.0124%8 Aug →
cache3–13-0.06100%8 Aug →
ancient11–130.0412%6 Aug →
nuke9–130.0925%5 Aug →
mirage11–130.0719%5 Aug →
cache9–130.1224%5 Aug →
nuke13–80.1716%5 Aug →
inferno13–110.0820%5 Aug →
nuke9–20.2829%4 Aug →
nuke6–13-0.0219%4 Aug →
nuke13–80.0629%4 Aug →
inferno3–13-0.0513%3 Aug →
ancient13–40.0915%3 Aug →
inferno13–110.1617%3 Aug →
inferno7–130.0110%2 Aug →
inferno13–90.1219%2 Aug →
mirage7–130.0111%1 Aug →
inferno5–130.0119%1 Aug →
ancient11–130.068%1 Aug →
cache8–130.0714%5 Jul →
mirage13–80.0615%3 May →
cache13–10.1020%3 May →
overpass13–40.1010%3 May →
inferno13–40.0315%2 May →
anubis13–60.0227%23 Apr →
mirage13–30.0722%23 Apr →

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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