Banana F.K.A. Banana

Banana F.K.A. Banana — CS2 Stats

CA76561199091860853[U:1:1131595125]Steam profile ↗✓ No bans

6,344Tracked matches54%Win rate2020Tracked since
7,762Hours in CS6Hrs last 2 wks
CSDB Rating5.0 DevelopingSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

+13Tracked matches · now 6,344
+10.7ppWin rate · 42.9% → 53.6%

Rating over time

29Days played since 2026-07-24

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,290), 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 4 medianLevel 5 medianvs Level 5
Headshot rate43.5%42.7%43.7%meets
Shot accuracy11.9%11.3%12.0%meets
Kill/death ratio0.850.991.020.16 short
Match win rate41.0%43.9%44.7%3.7% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBanana F.K.A. BananaFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim44
Positioning41
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY41–53–6Last 10041%Win rateLWWWLTWWWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +3.1pp headshot accuracy · −41ms reaction

Win rate +10pp 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 -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 670ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 654ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 674ms

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: Support — Utility contribution stands above the rest of this profile (+3.8 against its own average).

Aim4.4
Utility6.9
Positioning4.1
Opening Duels0.0
Clutch1.4

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

Twistzz

Plays most like Twistzz 64% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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 32% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 667ms 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

Aim4.4
Positioning4.1
Utility6.9
Mechanics7.6
Opening Duels0.3
Win Impact6.2

Composite 5.0/10 (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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time662ms−61ms
first ⅓ avg 723ms → last ⅓ avg 662ms
Headshot accuracy16.5%−3.0%
first ⅓ avg 19.6% → last ⅓ avg 16.5%

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

0.19Best match rating · 9–2 · debris, 28 Aug →
37%Best headshot accuracy · 13–11 · vertigo, 5 Sept →
414msFastest reaction time · 5–13 · office, 3 Aug →
13–0Biggest win · train, 16 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
6–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 63% over 8ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
vertigoD134–931%-0.01
officeB105–550%-0.03
anubisC94–544%-0.01
infernoA85–363%-0.03
nukeD82–625%-0.03
trainA85–363%-0.01
debrisC83–538%0.03
mirageC73–443%-0.01
cacheC73–443%-0.05
dust2B63–350%-0.03
ancientD51–420%-0.07
overpass—42–250%-0.03
eldorado—30–30%-0.09
poseidon—20–20%-0.08
shelter—10–10%-0.07
italy—11–0100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

208,965Lifetime kills
0.85K/D
16,849Matches
41.0%Match win rate
43.5%Headshot % · Top 50% of Level 4 players
11.9%Shot accuracy · Top 50% of Level 4 players
20,715MVPs
4,575Hours (in match)
8,085Bombs planted
5,164Bombs defused

Most-used weapons

AK-4755,790
AWP8,847
MP98,621
XM10145,970
MAC-105,820

Lifetime map wins

13,992vertigo
13,276nuke
12,101inferno
11,619dust2
7,525office
1,807train
1,520italy
1,031militia

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

Faceit stats

Combat

1,874Matches
47%Win rate
0.87Avg K/D
68.1ADR
42%Headshot %

Clutches & streaks

27%1v1 clutch win
25%1v2 clutch win
15Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo5838%0.9513.5
Thera4048%0.8312.7
Ancient3642%0.7712.1
Anubis3471%1.1214.8
Nuke3438%0.9313.8
Overpass2741%0.9011.2
Biome1429%0.6610.4
Akiba1450%0.7910.9

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.

16.5%Headshot accuracy
32.2%Accuracy (enemy spotted)
29.3%Spray accuracy
84.1%Counter-strafing
12.8°Preaim
667msReaction time
15.5%T opening success
32.4%CT opening success
0.59Enemies flashed / flash
6.3%Flash assists
8.78HE damage / grenade
16.85Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.8495° — above the 12° mark we flag

    Aim Training →
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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
office11–13-0.0122%15 Oct →
vertigo13–70.0122%15 Oct →
dust213–11-0.0219%15 Oct →
office13–90.0213%30 Sept →
vertigo9–13-0.0519%30 Sept →
mirage15–15-0.0016%30 Sept →
overpass13–11-0.0816%26 Sept →
ancient13–8-0.0716%26 Sept →
inferno13–11-0.046%26 Sept →
vertigo10–130.0120%26 Sept →
inferno13–7-0.0329%23 Sept →
nuke9–13-0.0413%23 Sept →
vertigo8–13-0.0816%23 Sept →
vertigo12–12-0.026%18 Sept →
train10–13-0.0818%18 Sept →
inferno13–4-0.0013%18 Sept →
office13–7-0.0323%17 Sept →
anubis13–60.069%17 Sept →
nuke11–13-0.026%17 Sept →
nuke13–5-0.017%16 Sept →
train13–00.0416%16 Sept →
anubis8–13-0.1213%16 Sept →
dust22–13-0.0914%12 Sept →
nuke11–130.0215%11 Sept →
debris7–9-0.0221%9 Sept →
vertigo5–13-0.0129%9 Sept →
cache13–8-0.0318%9 Sept →
vertigo13–11-0.0337%5 Sept →
office11–2-0.0518%5 Sept →
office1–13-0.0715%29 Aug →
inferno3–13-0.079%29 Aug →
mirage2–13-0.0523%29 Aug →
debris9–20.1911%28 Aug →
eldorado4–90.0415%28 Aug →
eldorado5–9-0.0513%28 Aug →
eldorado1–9-0.2615%28 Aug →
ancient5–13-0.0715%28 Aug →
cache3–13-0.1113%28 Aug →
train13–4-0.0114%28 Aug →
debris2–9-0.016%26 Aug →
cache3–13-0.0818%26 Aug →
dust213–10-0.0423%26 Aug →
nuke0–13-0.0320%26 Aug →
train13–4-0.0718%22 Aug →
office13–6-0.0911%22 Aug →
vertigo12–12-0.0213%22 Aug →
anubis6–13-0.0418%22 Aug →
shelter4–10-0.0713%22 Aug →
overpass10–130.0116%22 Aug →
anubis13–5-0.0320%15 Aug →
vertigo12–12-0.0410%15 Aug →
nuke6–13-0.0413%15 Aug →
train13–10.0613%15 Aug →
inferno13–80.0412%14 Aug →
vertigo7–13-0.0821%14 Aug →
mirage5–130.0032%12 Aug →
train7–13-0.0526%12 Aug →
vertigo13–100.1011%8 Aug →
anubis13–10.0322%8 Aug →
cache8–13-0.0214%8 Aug →
cache13–9-0.0511%6 Aug →
dust213–11-0.0319%6 Aug →
anubis5–13-0.0619%6 Aug →
mirage13–60.0319%6 Aug →
train13–10.0221%5 Aug →
ancient9–13-0.0718%5 Aug →
cache13–7-0.0224%5 Aug →
debris9–50.1029%5 Aug →
poseidon3–9-0.1019%5 Aug →
dust28–13-0.0128%3 Aug →
overpass9–13-0.0217%3 Aug →
inferno8–13-0.0316%3 Aug →
nuke11–13-0.0312%3 Aug →
anubis6–130.0114%3 Aug →
office5–13-0.0016%3 Aug →
ancient1–13-0.0910%3 Aug →
mirage3–130.0120%3 Aug →
debris6–90.0714%3 Aug →
debris6–9-0.0926%3 Aug →
debris2–9-0.0315%3 Aug →
dust212–120.0234%2 Aug →
nuke13–8-0.0927%2 Aug →
mirage13–7-0.0923%2 Aug →
anubis13–70.0911%2 Aug →
office8–13-0.0220%2 Aug →
inferno0–6-0.0833%2 Aug →
ancient2–13-0.089%2 Aug →
vertigo13–100.0419%2 Aug →
debris9–60.0515%1 Aug →
poseidon4–9-0.0622%1 Aug →
train12–120.0321%1 Aug →
cache11–13-0.0719%1 Aug →
overpass13–8-0.0519%30 Jul →
inferno13–4-0.0030%30 Jul →
vertigo8–13-0.0117%30 Jul →
office10–13-0.0520%30 Jul →
office13–11-0.0115%29 Jul →
italy13–6-0.0317%28 Jul →
anubis10–13-0.0321%25 Jul →
mirage13–60.0118%24 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.