Banana

Banana — CS2 Stats

76561198062826335[U:1:102560607]Steam profile ↗✓ No bans

6,124Tracked matches50%Win rate2020Tracked since
CSDB Rating6.2 SolidSupport
Premier CS Rating19,634Top 50% of 211,494 CSDB-tracked playersPurple band · top ~10% of ranked players (population est.)
CSDB Leaderboard#90587 of 258677 tracked
FaceitLevel 9 · 1,795 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,634 -1,901 25 Jun – 29 Oct · 25 days played
18,50821,628peak 21,62825 Jun29 Oct
Faceit ELO: 1,795 +0 3 Sept – 8 Sept · 2 observations
1,7951,795peak 1,7953 Sept8 Sept
21,747Peak Premier in tracked matches
1,795Highest Faceit ELO seen on CSDB
47Days played since 2026-06-25

Faceit ELO

  • At peak — 1,795
  • Next: Level 10 at 2,001 — 206 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-03
  • Level 8 first seen 2026-09-03

Premier CS Rating

  • 1,994 below peak (21,628)
  • -604 over 30 days · declining
  • Next: Pink band at 20,000 — 366 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGBananaFACEITLevel 9 · 1,795 ELOSTANDINGTop 20.7% of rankedPREMIER19,634 · Purple bandPEAK ELO1,795csdb.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

Aim63
Positioning65
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateLWWWWLLLLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −5.3pp headshot accuracy · −7ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 577ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 581ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 585ms

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 (+1.9 against its own average).

Aim6.3
Utility7.2
Positioning6.5
Opening Duels3.4
Clutch4.0

Effective flashes

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

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 590ms 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

Aim6.3
Positioning6.5
Utility7.2
Mechanics5.9
Opening Duels5.2
Win Impact5.0

Composite 6.2/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time599ms−9ms
first ⅓ avg 608ms → last ⅓ avg 599ms
Headshot accuracy15.8%−2.0%
first ⅓ avg 17.8% → last ⅓ avg 15.8%

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

0.14Best match rating · 13–1 · cache, 15 Aug →
40%Best headshot accuracy · 13–2 · office, 2 Sept →
391msFastest reaction time · 13–7 · ancient, 16 Aug →
13–1Biggest win · cache, 15 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–9In matches decided by ≤2 rounds
15Overtime games

Map breakdown

mirageBest map · 88% over 8dust2Weakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
cacheA2214–864%0.01
ancientB2110–1148%0.02
infernoB178–947%0.01
anubisA159–660%0.03
dust2B115–645%0.02
mirageS87–188%0.03
train—21–150%-0.05
nuke—22–0100%0.04
vertigo—11–0100%0.00
office—11–0100%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,719Matches
50%Win rate
1.05Avg K/D
72.6ADR
40%Headshot %

Clutches & streaks

40%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage59149%0.9613.8
Dust258948%0.9414.0
Ancient58352%1.0315.4
Inferno46252%1.0014.4
Anubis30048%1.0815.8
Vertigo7842%1.0716.4
Nuke6645%1.1416.4
Cache5754%0.9915.9

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.

15.7%Headshot accuracy
34.3%Accuracy (enemy spotted)
38.9%Spray accuracy
76.5%Counter-strafing
10.3°Preaim
590msReaction time
56.3%T opening success
44.9%CT opening success
0.77Enemies flashed / flash
7.1%Flash assists
7.60HE damage / grenade
16.45Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–130.037%29 Oct →
dust216–14-0.0120%28 Oct →
anubis16–130.0317%27 Oct →
cache19–17-0.0413%27 Oct →
mirage13–110.0913%24 Oct →
ancient5–130.0021%24 Oct →
anubis8–130.0111%23 Oct →
dust28–13-0.028%23 Oct →
inferno12–160.059%23 Oct →
cache13–60.0015%22 Oct →
dust213–11-0.0115%19 Oct →
inferno16–14-0.0323%19 Oct →
ancient16–140.0321%18 Oct →
cache11–13-0.0017%18 Oct →
dust213–40.0328%18 Oct →
cache10–130.0516%17 Oct →
mirage13–8-0.0215%17 Oct →
inferno11–130.0017%16 Oct →
anubis13–40.0110%16 Oct →
cache9–130.0124%16 Oct →
ancient9–13-0.0017%16 Oct →
ancient9–130.0814%15 Oct →
mirage10–13-0.0213%15 Oct →
cache4–13-0.0310%14 Oct →
mirage13–11-0.0216%14 Oct →
inferno13–6-0.018%14 Oct →
cache13–60.0322%14 Oct →
dust28–13-0.0510%12 Oct →
ancient13–90.0225%12 Oct →
dust26–130.108%10 Oct →
cache13–50.0416%10 Oct →
dust211–130.0626%7 Oct →
cache13–50.0213%7 Oct →
train3–13-0.0714%7 Oct →
train13–8-0.0217%7 Oct →
inferno13–30.0518%4 Oct →
inferno13–11-0.037%3 Oct →
cache13–90.0411%3 Oct →
ancient13–90.0918%2 Oct →
ancient13–60.0618%30 Sept →
anubis11–13-0.018%30 Sept →
mirage13–100.1020%30 Sept →
ancient8–13-0.0116%28 Sept →
vertigo13–80.006%28 Sept →
anubis9–130.0120%23 Sept →
ancient13–100.0716%19 Sept →
nuke13–60.1018%19 Sept →
anubis13–30.0713%19 Sept →
anubis8–13-0.0615%16 Sept →
anubis13–40.0619%16 Sept →
cache16–130.0118%15 Sept →
cache2–13-0.0723%15 Sept →
mirage13–40.0528%9 Sept →
anubis13–30.0814%5 Sept →
cache13–100.0519%5 Sept →
ancient3–13-0.0616%5 Sept →
office13–2-0.0440%2 Sept →
anubis13–10-0.015%28 Aug →
cache13–4-0.0213%28 Aug →
ancient5–13-0.0523%24 Aug →
anubis11–13-0.0116%19 Aug →
inferno15–15-0.0222%19 Aug →
ancient13–7-0.0225%16 Aug →
ancient13–9-0.0115%15 Aug →
cache13–10.1414%15 Aug →
ancient11–13-0.0013%14 Aug →
nuke16–13-0.0228%14 Aug →
cache13–90.0323%14 Aug →
ancient14–160.0122%7 Aug →
cache0–13-0.0422%7 Aug →
inferno6–130.0222%7 Aug →
anubis13–8-0.0015%7 Aug →
anubis13–30.0934%7 Aug →
inferno7–13-0.0116%15 Jul →
inferno4–130.0523%15 Jul →
inferno7–13-0.0211%14 Jul →
inferno13–50.1013%12 Jul →
inferno9–13-0.0219%12 Jul →
dust216–130.0418%12 Jul →
inferno16–130.0223%12 Jul →
anubis15–150.1221%11 Jul →
dust213–50.0722%11 Jul →
mirage13–90.0721%11 Jul →
ancient13–50.0423%11 Jul →
ancient13–50.0913%10 Jul →
anubis13–110.0227%10 Jul →
mirage13–5-0.0111%8 Jul →
cache13–9-0.0324%8 Jul →
ancient22–250.029%8 Jul →
ancient10–130.055%8 Jul →
cache13–60.0324%7 Jul →
ancient11–13-0.0317%4 Jul →
inferno13–50.0815%4 Jul →
inferno4–13-0.0226%3 Jul →
cache0–7-0.000%2 Jul →
cache13–50.0515%2 Jul →
inferno13–5-0.0211%27 Jun →
ancient16–140.0715%26 Jun →
cache11–13-0.035%26 Jun →
dust28–130.0124%25 Jun →

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 →

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