TheBanana

TheBanana — CS2 Stats

76561198272883985[U:1:312618257]Steam profile ↗✓ No bans

2,759Tracked matches46%Win rate2020Tracked since
CSDB Rating6.4 SolidPositional Player
Premier CS Rating22,747Top 25% of 201,197 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#44137 of 248203 tracked
FaceitLevel 10 · 2,248 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (21 days ago). 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: 22,747 +119 1 Jul – 12 Sept · 16 days played
22,62825,107peak 25,1071 Jul12 Sept
25,107Peak Premier in tracked matches
2,248Highest Faceit ELO seen on CSDB
36Days played since 2026-05-14

Faceit ELO

  • At peak — 2,248
  • Next: 2,500 ELO at 2,500 — 252 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

Premier CS Rating

  • 2,360 below peak (25,107)
  • -1,870 over 30 days · declining
  • Next: Red band at 25,000 — 2,253 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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.GGTheBananaFACEITLevel 10 · 2,248 ELOSTANDINGTop 12.4% of rankedPREMIER22,747 · Pink bandPEAK ELO2,248csdb.gg/stats

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Performance scores

Aim89
Positioning57
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY53–40–7Last 10053%Win rateLLWLLLWWWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −1.1pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 489ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 509ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 488ms

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: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim8.9
Utility5.0
Positioning5.7
Opening Duels3.0
Clutch3.2

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

sh1ro

Plays most like sh1ro 95% playstyle similarity

Most alike: aim profile, 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 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

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

Aim8.9
Positioning5.7
Utility5.0
Mechanics7.0
Opening Duels2.9
Win Impact3.8

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time482ms−42ms
first ⅓ avg 525ms → last ⅓ avg 482ms
Headshot accuracy17.1%−1.4%
first ⅓ avg 18.6% → last ⅓ avg 17.1%

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

0.26Best match rating · 9–0 · inferno, 5 Jul →
46%Best headshot accuracy · 13–2 · vertigo, 6 Aug →
359msFastest reaction time · 9–3 · inferno, 23 Aug →
13–0Biggest win · overpass, 4 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
7–4In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 63% over 8dust2Weakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB2815–1354%0.04
cacheC2310–1343%0.04
ancientB158–753%-0.00
anubisA85–363%0.06
dust2C52–340%-0.02
mirage—43–175%0.04
nuke—31–233%-0.02
vertigo—22–0100%0.07
train—22–0100%0.07
shelter—22–0100%0.07
poseidon—21–150%0.01
overpass—21–150%0.01
boulder—11–0100%0.18
eldorado—10–10%-0.05
debris—10–10%0.04
fachwerk—10–10%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,813Matches
51%Win rate
1.22Avg K/D
77.1ADR
35%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient8542%1.1215.4
Inferno6555%1.2116.1
Anubis5659%1.2116.3
Vertigo3342%1.1618.2
Dust22952%0.9814.0
Mirage2752%1.0215.7
Nuke1533%1.2314.7
Overpass1250%1.2717.9

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.

17.2%Headshot accuracy
37.5%Accuracy (enemy spotted)
43.9%Spray accuracy
81.7%Counter-strafing
7.4°Preaim
489msReaction time
40.6%T opening success
42.7%CT opening success
0.60Enemies flashed / flash
6.8%Flash assists
5.15HE damage / grenade
7.20Flashes / 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.

40% win rate across 5 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
ancient16–19-0.0210%12 Sept →
ancient2–13-0.0620%12 Sept →
cache13–10.008%11 Sept →
inferno10–130.0121%11 Sept →
inferno13–160.0617%11 Sept →
cache8–130.0317%11 Sept →
inferno13–50.0411%11 Sept →
mirage13–70.0911%7 Sept →
vertigo13–100.0122%5 Sept →
train13–5-0.0221%5 Sept →
cache13–80.0110%5 Sept →
cache9–130.0720%5 Sept →
cache11–130.0729%5 Sept →
mirage13–40.0824%5 Sept →
dust25–13-0.0714%3 Sept →
inferno7–13-0.0922%3 Sept →
dust210–13-0.0211%3 Sept →
ancient11–13-0.0510%3 Sept →
ancient13–50.0110%26 Aug →
inferno9–30.0719%23 Aug →
inferno3–9-0.0411%23 Aug →
inferno7–130.0419%23 Aug →
anubis13–40.0516%22 Aug →
anubis13–40.1518%21 Aug →
ancient13–50.0928%21 Aug →
inferno9–60.1229%16 Aug →
ancient4–13-0.0517%15 Aug →
ancient13–80.0516%15 Aug →
dust212–12-0.0117%14 Aug →
anubis13–50.0418%13 Aug →
inferno9–70.0423%9 Aug →
ancient4–13-0.0715%9 Aug →
inferno6–9-0.0310%8 Aug →
cache12–120.0326%8 Aug →
cache10–13-0.0318%8 Aug →
shelter13–90.0713%6 Aug →
cache6–130.0514%6 Aug →
vertigo13–20.1446%6 Aug →
boulder13–50.1819%6 Aug →
cache13–80.0911%5 Aug →
shelter13–90.0625%5 Aug →
inferno9–30.1834%4 Aug →
inferno6–9-0.0339%4 Aug →
ancient15–15-0.0215%4 Aug →
cache12–160.0011%4 Aug →
anubis7–130.0213%4 Aug →
poseidon9–70.0111%31 Jul →
nuke4–9-0.1014%31 Jul →
cache6–5-0.0215%31 Jul →
dust213–70.0019%31 Jul →
inferno2–13-0.0829%31 Jul →
eldorado5–9-0.0515%26 Jul →
poseidon6–90.019%26 Jul →
debris8–80.0414%26 Jul →
fachwerk10–130.0217%26 Jul →
anubis6–13-0.0312%26 Jul →
ancient13–9-0.0321%25 Jul →
inferno13–30.0121%25 Jul →
dust213–80.0037%25 Jul →
cache15–150.0718%25 Jul →
nuke13–110.0918%24 Jul →
cache6–130.0223%24 Jul →
inferno13–60.1420%24 Jul →
train13–90.1731%24 Jul →
inferno6–13-0.0116%23 Jul →
cache13–10.1311%19 Jul →
ancient13–100.1016%17 Jul →
mirage11–130.0230%17 Jul →
inferno16–120.0422%17 Jul →
ancient13–7-0.0221%11 Jul →
ancient13–20.0017%11 Jul →
inferno10–130.0422%11 Jul →
cache13–110.0614%10 Jul →
ancient12–160.0119%10 Jul →
inferno13–50.0610%10 Jul →
anubis16–120.0817%10 Jul →
inferno4–90.0124%8 Jul →
inferno9–00.2619%5 Jul →
inferno8–8-0.0719%5 Jul →
inferno6–9-0.099%5 Jul →
overpass13–00.097%4 Jul →
mirage13–11-0.0417%4 Jul →
ancient13–100.0215%4 Jul →
inferno9–40.069%4 Jul →
inferno13–30.0613%4 Jul →
inferno13–10.2221%4 Jul →
nuke5–13-0.0414%2 Jul →
inferno13–10.0424%1 Jul →
anubis7–130.0217%1 Jul →
overpass1–13-0.0819%1 Jul →
inferno9–10.0827%30 Jun →
anubis13–110.1515%16 May →
cache11–130.0619%16 May →
cache5–130.0015%16 May →
cache13–30.1313%16 May →
cache13–90.0313%15 May →
cache7–13-0.0240%15 May →
cache12–120.0413%15 May →
cache13–20.1133%14 May →
cache13–50.0426%14 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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