ManBanana

ManBanana — CS2 Stats

76561198994504840[U:1:1034239112]Steam profile ↗✓ No bans

2,020Tracked matches65%Win rate2020Tracked since
2,338Hours in CS3Hrs last 2 wks
CSDB Rating7.8 StrongClutch Specialist
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (61 days ago). Ranks are recorded once per day this page is viewed.

+47Tracked matches · now 2,020
−2.6ppWin rate · 67.9% → 65.2%

Rating over time

1,234Highest Faceit ELO seen on CSDB
31Days played since 2026-07-23

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

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CSDB.GGManBananaPEAK ELO1,234csdb.gg/stats

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Performance scores

Aim85
Positioning82
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY59–29–12Last 10059%Win rateTLWWWTLWWT

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +3.3pp headshot accuracy · +54ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 24%
  • Avg reaction 523ms

Last 10

  • 5–2–3 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 537ms

Last 20

  • 9–6–5 · 45% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 510ms

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 (+1.3 against its own average).

Aim8.5
Utility4.8
Positioning8.2
Opening Duels7.0
Clutch8.4

Sharp aimerStrong positioningReliable 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

s1mple

Plays most like s1mple 86% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution.

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. 75% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 75% on T to 59% 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
Positioning8.2
Utility4.8
Mechanics6.8
Opening Duels8.6
Win Impact10.0

Composite 7.8/10 (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 rating0.05−0.02
first ⅓ avg 0.07 → last ⅓ avg 0.05
Reaction time497ms−64ms
first ⅓ avg 561ms → last ⅓ avg 497ms
Headshot accuracy25.6%−5.3%
first ⅓ avg 30.8% → last ⅓ avg 25.6%

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

0.24Best match rating · 13–1 · inferno, 27 Jul →
56%Best headshot accuracy · 0–8 · dust2, 29 Jul →
391msFastest reaction time · 8–13 · ancient, 21 Sept →
13–1Biggest win · inferno, 27 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

vertigoBest map · 86% over 7mirageWeakest map · 50% over 8
MapGradePlayedRecordWin rateAvg rating
infernoA2213–959%0.08
dust2A1911–858%0.04
officeS1812–667%0.04
anubisA95–456%0.05
mirageB84–450%0.04
vertigoS76–186%0.07
cache—42–250%0.11
nuke—31–233%0.10
ancient—32–167%0.01
fachwerk—22–0100%0.06
rush_001—10–10%0.06
boulder—10–10%-0.04
italy—10–10%0.08
train—10–10%0.02
overpass—11–0100%0.13

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

90,674Lifetime kills
1.59K/D · Top 5% of tracked players
4,094Matches
55.9%Match win rate · Top 5% of tracked players
52.9%Headshot % · Top 25% of tracked players
9.7%Shot accuracy
13,878MVPs
1,306Hours (in match)
1,651Bombs planted
868Bombs defused

Most-used weapons

AK-4731,920
AWP11,477
SSG 082,746
FAMAS1,802
Knife1,062

Lifetime map wins

7,188dust2
4,877inferno
3,057vertigo
2,678nuke
1,601office
941train
457cbble
447lake

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

Faceit stats

Combat

17Matches
71%Win rate
1.69Avg K/D
110.8ADR
51%Headshot %

Clutches & streaks

62%1v1 clutch win
31%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust2683%1.8117.8
Mirage667%1.7926.2
Cache250%1.3425.5
Nuke10%1.7528.0
Ancient1100%1.1416.0
Anubis1100%1.6024.0

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.

24.3%Headshot accuracy
33.0%Accuracy (enemy spotted)
36.5%Spray accuracy
80.6%Counter-strafing
7.8°Preaim
501msReaction time
75.1%T opening success
58.6%CT opening success
0.55Enemies flashed / flash
4.9%Flash assists
8.20HE damage / grenade
5.41Flashes / match

Recent matches

MapScoreRatingHS%Date
office12–120.0618%23 Oct →
inferno10–130.0122%22 Oct →
anubis13–80.0617%5 Oct →
vertigo11–20.0716%5 Oct →
mirage5–00.0546%5 Oct →
nuke12–120.1127%5 Oct →
rush_0013–70.0640%5 Oct →
dust213–7-0.0518%5 Oct →
office13–3-0.0315%4 Oct →
inferno12–120.0126%3 Oct →
office13–100.1530%3 Oct →
mirage12–120.1218%2 Oct →
inferno13–90.1315%2 Oct →
vertigo7–130.0524%2 Oct →
anubis7–13-0.0116%2 Oct →
office11–13-0.0419%2 Oct →
boulder2–13-0.0421%1 Oct →
inferno13–100.1221%30 Sept →
ancient13–50.0719%30 Sept →
anubis12–120.0329%30 Sept →
nuke12–160.0725%30 Sept →
office5–13-0.0128%30 Sept →
vertigo13–90.1024%30 Sept →
inferno13–100.0619%28 Sept →
office13–50.0137%24 Sept →
italy11–130.0836%24 Sept →
train12–120.0227%24 Sept →
cache13–30.1744%24 Sept →
inferno13–110.1727%23 Sept →
dust212–12-0.0122%23 Sept →
office13–40.0739%21 Sept →
ancient8–13-0.0819%21 Sept →
inferno13–50.0638%21 Sept →
office13–80.0526%21 Sept →
dust213–90.0527%18 Sept →
anubis10–130.0217%17 Sept →
office10–130.0426%17 Sept →
fachwerk13–90.0824%17 Sept →
office13–70.1230%16 Sept →
inferno9–130.0216%16 Sept →
anubis13–80.0322%16 Sept →
dust213–100.1226%16 Sept →
mirage5–13-0.0125%16 Sept →
inferno13–60.1232%10 Sept →
office10–13-0.0131%10 Sept →
cache13–30.1528%10 Sept →
mirage11–130.0015%30 Aug →
inferno13–20.1136%30 Aug →
dust213–90.0323%30 Aug →
dust213–40.1417%21 Aug →
inferno13–90.0831%19 Aug →
dust213–40.0822%19 Aug →
mirage12–12-0.0119%19 Aug →
dust211–130.0022%19 Aug →
inferno11–130.1225%13 Aug →
dust25–13-0.0243%13 Aug →
inferno11–130.0420%13 Aug →
dust213–80.0022%12 Aug →
mirage13–70.0630%12 Aug →
office13–110.1429%7 Aug →
dust26–13-0.0820%7 Aug →
anubis12–120.0630%7 Aug →
office13–110.0924%7 Aug →
inferno6–20.0232%7 Aug →
fachwerk13–90.0326%7 Aug →
vertigo13–90.0212%7 Aug →
anubis13–40.0920%7 Aug →
dust213–110.0824%6 Aug →
inferno9–130.0024%6 Aug →
overpass13–110.1333%5 Aug →
vertigo13–40.0650%5 Aug →
office13–6-0.0525%3 Aug →
cache6–130.0734%3 Aug →
dust213–100.1030%31 Jul →
dust213–50.1423%31 Jul →
inferno3–130.0338%31 Jul →
nuke13–90.1023%31 Jul →
cache12–120.0423%31 Jul →
ancient13–50.0435%31 Jul →
office12–120.1230%29 Jul →
inferno13–80.1225%29 Jul →
vertigo13–50.1526%29 Jul →
dust20–8-0.0156%29 Jul →
mirage13–50.0429%28 Jul →
inferno9–13-0.0124%28 Jul →
dust213–100.0837%28 Jul →
inferno13–80.1343%28 Jul →
office13–40.0738%28 Jul →
anubis13–30.1628%27 Jul →
office13–50.0139%27 Jul →
dust212–120.0426%27 Jul →
inferno13–10.2426%27 Jul →
vertigo13–50.0722%24 Jul →
dust25–130.0418%24 Jul →
mirage13–60.0917%24 Jul →
inferno8–130.0436%24 Jul →
office13–9-0.0133%23 Jul →
anubis13–20.0444%23 Jul →
inferno13–60.1031%23 Jul →
dust210–130.0927%23 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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