Banana Boy 真

Banana Boy 真 — CS2 Stats

DE76561198103156348[U:1:142890620]Steam profile ↗✓ No bans

2,492Tracked matches43%Win rate2020Tracked since
7,252Hours in CS8Hrs last 2 wks
CSDB Rating7.5 StrongClutch Specialist
Premier CS Rating25,844Top 10% of 212,379 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#14499 of 259204 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 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: 25,844 +844 25 Jul – 31 Oct · 30 days played
24,33126,886peak 26,88625 Jul31 Oct
27,116Peak Premier in tracked matches
36Days played since 2026-07-25

Premier CS Rating

  • 1,042 below peak (26,886)
  • +845 over 30 days · improving
  • -818 over 90 days
  • Next: Gold band at 30,000 — 4,156 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-14
  • Pink band first seen 2026-09-14

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

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 rate50.7%44.8%45.7%above
Shot accuracy17.0%12.4%12.7%above
Kill/death ratio1.141.031.05above
Match win rate52.0%45.2%45.7%above

Across every metric we can compare, this profile already matches the typical Level 7 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGBanana Boy 真FACEITLevel 6STANDINGTop 54.0% of rankedPREMIER25,844 · Red bandcsdb.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

Aim86
Positioning75
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY42–54–4Last 10042%Win rateWTLLLWWLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −5.8pp headshot accuracy · −14ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 512ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 506ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 513ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.3 against its own average).

Aim8.6
Utility6.6
Positioning7.5
Opening Duels6.7
Clutch10.0

Sharp aimerReliable in 1v1s

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 88% playstyle similarity

Most alike: utility contribution, positioning 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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

T openings. 74% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.6° off target when enemies appear — placement, not flicking, is the bigger win available.

CT openings. Opening success drops from 74% on T to 58% 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

Aim8.6
Positioning7.5
Utility6.6
Mechanics6.6
Opening Duels8.5
Win Impact2.6

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time532ms−9ms
first ⅓ avg 541ms → last ⅓ avg 532ms
Headshot accuracy19.7%+1.4%
first ⅓ avg 18.2% → last ⅓ avg 19.7%

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

0.23Best match rating · 9–0 · vertigo, 3 Oct →
38%Best headshot accuracy · 9–0 · vertigo, 3 Oct →
266msFastest reaction time · 6–9 · vertigo, 19 Sept →
13–1Biggest win · cache, 6 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–14In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 55% over 11ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC2610–1638%0.02
cacheB168–850%0.02
nukeC156–940%0.01
anubisA116–555%0.03
ancientD82–625%0.03
dust2C83–538%0.01
mirageC73–443%0.04
vertigo—42–250%0.04
train—31–233%0.09
office—21–150%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

311,483Lifetime kills
1.14K/D · Top 50% of Level 6 players
17,908Matches
52.0%Match win rate · Top 10% of Level 6 players
50.7%Headshot % · Top 25% of Level 6 players
17.0%Shot accuracy · Top 25% of Level 6 players
33,423MVPs
4,498Hours (in match)
8,956Bombs planted
3,667Bombs defused

Most-used weapons

AK-4783,287
AWP51,420
Glock-1810,555
SSG 088,195
P2507,698
Knife5,292

Lifetime map wins

19,547inferno
16,718dust2
5,022nuke
4,600vertigo
2,837cbble
2,255train
483office
213lake

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

Faceit stats

Combat

1,114Matches
50%Win rate
1.09Avg K/D
78.7ADR
43%Headshot %

Clutches & streaks

100%1v1 clutch win
100%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1471%1.0815.8
Mirage1258%1.2213.9
Vertigo1136%1.1917.4
Anubis1136%1.1116.9
Ancient825%1.2415.6
Nuke729%0.7413.6
Dust2367%1.3017.0
Overpass333%1.0918.7

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.

19.4%Headshot accuracy
42.7%Accuracy (enemy spotted)
46.9%Spray accuracy
79.8%Counter-strafing
11.6°Preaim
525msReaction time
73.9%T opening success
57.6%CT opening success
0.52Enemies flashed / flash
6.6%Flash assists
10.88HE damage / grenade
16.49Flashes / 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.

25% 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
mirage13–110.0322%31 Oct →
nuke12–12-0.0712%31 Oct →
ancient11–130.0220%31 Oct →
anubis6–13-0.0010%24 Oct →
anubis11–130.0020%24 Oct →
cache13–5-0.0022%23 Oct →
mirage13–30.1510%19 Oct →
inferno6–9-0.0319%19 Oct →
nuke14–160.0517%11 Oct →
inferno13–100.1318%11 Oct →
nuke13–110.0120%11 Oct →
dust21–13-0.0732%9 Oct →
cache13–60.1418%9 Oct →
inferno13–90.0628%9 Oct →
mirage15–150.0218%9 Oct →
train11–130.0521%9 Oct →
ancient6–13-0.0123%9 Oct →
train13–100.1220%7 Oct →
dust22–130.0021%7 Oct →
cache14–160.0527%7 Oct →
nuke13–110.0421%4 Oct →
inferno9–130.1025%4 Oct →
inferno9–30.0219%3 Oct →
vertigo9–00.2338%3 Oct →
inferno4–90.0416%3 Oct →
nuke13–110.0114%29 Sept →
dust213–90.0615%29 Sept →
dust210–130.0117%28 Sept →
inferno9–13-0.0412%26 Sept →
inferno2–9-0.1221%26 Sept →
anubis11–13-0.0313%26 Sept →
nuke7–13-0.0027%26 Sept →
inferno6–13-0.0613%26 Sept →
inferno5–90.0918%26 Sept →
vertigo6–13-0.0128%23 Sept →
vertigo13–9-0.0221%23 Sept →
anubis13–60.0730%21 Sept →
dust213–60.0519%21 Sept →
cache13–100.0621%21 Sept →
nuke13–110.0537%20 Sept →
inferno3–130.0227%20 Sept →
anubis11–13-0.0020%20 Sept →
inferno7–90.0915%20 Sept →
inferno9–70.0825%20 Sept →
inferno4–9-0.160%20 Sept →
inferno7–90.0123%20 Sept →
inferno3–9-0.0123%20 Sept →
vertigo6–9-0.0615%19 Sept →
inferno4–9-0.1012%18 Sept →
nuke10–130.0316%18 Sept →
cache9–13-0.0214%18 Sept →
dust213–90.0623%18 Sept →
nuke10–130.0330%14 Sept →
train11–130.0923%14 Sept →
anubis6–130.0736%14 Sept →
mirage13–6-0.0114%14 Sept →
cache5–13-0.0517%13 Sept →
inferno5–13-0.0026%13 Sept →
mirage10–130.0624%12 Sept →
mirage6–130.0227%6 Sept →
dust29–130.0121%6 Sept →
inferno13–40.1016%6 Sept →
office13–60.0324%6 Sept →
office5–13-0.0513%6 Sept →
anubis13–110.0228%30 Aug →
cache13–80.0218%29 Aug →
cache13–7-0.0117%29 Aug →
cache5–13-0.0431%25 Aug →
nuke13–16-0.0417%25 Aug →
inferno9–50.0221%19 Aug →
nuke13–80.0219%19 Aug →
nuke11–130.0225%19 Aug →
inferno13–100.0628%9 Aug →
ancient15–150.0714%9 Aug →
inferno13–80.0727%9 Aug →
dust25–13-0.0419%6 Aug →
cache13–1-0.0017%6 Aug →
cache15–150.0422%6 Aug →
cache11–130.0121%6 Aug →
cache9–130.0413%4 Aug →
nuke9–13-0.0114%3 Aug →
anubis13–90.1017%2 Aug →
cache11–130.0316%2 Aug →
anubis13–90.048%2 Aug →
ancient6–130.0116%31 Jul →
inferno16–130.049%31 Jul →
ancient6–130.0410%31 Jul →
ancient11–130.0310%30 Jul →
nuke4–13-0.0425%30 Jul →
mirage8–130.0417%29 Jul →
anubis13–110.038%29 Jul →
cache13–11-0.026%29 Jul →
ancient13–70.0717%29 Jul →
cache11–30.0734%28 Jul →
nuke16–12-0.0129%28 Jul →
ancient13–50.0112%28 Jul →
inferno13–50.1219%28 Jul →
anubis13–70.0817%26 Jul →
inferno10–130.0514%26 Jul →
inferno8–130.0129%25 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 →

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