banana

banana — CS2 Stats

SL76561198976060503[U:1:1015794775]Steam profile ↗✓ No bans

1,345Tracked matches41%Win rate2023Tracked since
1,623Hours in CS9Hrs last 2 wks
CSDB Rating6.7 SolidClutch Specialist
Premier CS Rating18,894Top 50% of 215,386 CSDB-tracked playersPurple band · top ~12.9% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 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: 18,894 -838 18 May – 13 Nov · 22 days played
15,69419,732peak 19,73218 May13 Nov
19,737Peak Premier in tracked matches
41Days played since 2026-05-18

Premier CS Rating

  • 838 below peak (19,732)
  • +130 over 30 days · steady
  • Next: Pink band at 20,000 — 1,106 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-23
  • Blue band first seen 2026-10-23

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 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate48.9%41.3%41.8%above
Shot accuracy2.8%12.7%12.2%9.4% short
Kill/death ratio1.020.950.98above
Match win rate41.4%42.6%43.3%1.9% short

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbananaFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER18,894 · Purple 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

Aim74
Positioning84
Utility54

0–100 skill scores via Leetify.

Recent form

COLD45–52–3Last 10045%Win rateWLLLLLLLWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +2.0pp headshot accuracy · +24ms 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 18%
  • Avg reaction 611ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 595ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 583ms

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 (+2.1 against its own average).

Aim7.4
Utility5.4
Positioning8.4
Opening Duels7.9
Clutch10.0

Strong 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 79% playstyle similarity

Most alike: opening-duel success, 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

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 80% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 80% on T to 64% 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

Aim7.4
Positioning8.4
Utility5.4
Mechanics6.0
Opening Duels9.2
Win Impact1.9

Composite 6.7/10 (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 rating0.03+0.03
first ⅓ avg -0.00 → last ⅓ avg 0.03
Reaction time545ms−42ms
first ⅓ avg 587ms → last ⅓ avg 545ms
Headshot accuracy16.0%−2.9%
first ⅓ avg 18.9% → last ⅓ avg 16.0%

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

0.15Best match rating · 13–5 · dust2, 9 Sept →
50%Best headshot accuracy · 10–13 · train, 21 Sept →
398msFastest reaction time · 13–6 · anubis, 3 Oct →
13–2Biggest win · ancient, 24 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 64% over 11cacheWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2412–1250%0.02
ancientA1810–856%-0.00
mirageD134–931%-0.01
infernoC125–742%0.03
anubisA117–464%0.04
nukeB105–550%0.01
cacheD71–614%0.02
office—30–30%0.00
train—10–10%0.03
vertigo—11–0100%0.02

Across the last 100 tracked matches.

Lifetime stats

50,070Lifetime kills
1.02K/D · Top 50% of Level 2 players
2,328Matches
41.4%Match win rate
48.9%Headshot % · Top 25% of Level 2 players
2.8%Shot accuracy
9,703MVPs
796Hours (in match)
2,974Bombs planted
549Bombs defused

Most-used weapons

Lifetime map wins

5,186dust2
2,251inferno
1,713nuke
1,499vertigo
673office
637train
37cbble
17italy

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

Faceit stats

Combat

24Matches
33%Win rate
0.80Avg K/D
90.4ADR
47%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Vertigo60%0.497.2
Nuke617%0.8011.0
Mirage540%0.598.2
Dust23100%1.5414.0
Overpass20%0.589.5
Ancient2100%1.4218.5

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.

16.0%Headshot accuracy
36.1%Accuracy (enemy spotted)
37.3%Spray accuracy
76.9%Counter-strafing
8.7°Preaim
550msReaction time
79.8%T opening success
63.8%CT opening success
0.47Enemies flashed / flash
7.9%Flash assists
7.43HE damage / grenade
7.23Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4725 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient13–100.0420%13 Nov →
inferno4–13-0.0412%13 Nov →
nuke3–13-0.0720%12 Nov →
dust210–130.0418%12 Nov →
dust27–130.0421%11 Nov →
ancient7–130.0013%9 Nov →
anubis8–130.0618%9 Nov →
ancient8–13-0.038%9 Nov →
dust213–70.0022%9 Nov →
cache4–130.0515%8 Nov →
nuke13–50.0316%6 Nov →
mirage6–13-0.0213%6 Nov →
inferno10–130.0316%31 Oct →
cache10–130.0819%31 Oct →
ancient13–50.0115%30 Oct →
nuke12–120.048%29 Oct →
mirage13–100.0525%28 Oct →
office10–130.0210%28 Oct →
mirage1–13-0.0812%22 Oct →
nuke12–12-0.0111%22 Oct →
dust213–40.0614%18 Oct →
ancient4–13-0.0212%18 Oct →
anubis13–100.0515%18 Oct →
ancient13–110.068%18 Oct →
mirage13–40.0323%15 Oct →
dust213–50.0510%6 Oct →
office12–120.0232%6 Oct →
ancient13–40.0616%4 Oct →
inferno9–130.1014%4 Oct →
inferno9–130.0219%3 Oct →
ancient13–60.0622%3 Oct →
anubis13–60.1512%3 Oct →
anubis13–100.0816%3 Oct →
ancient12–16-0.0414%2 Oct →
mirage10–13-0.0110%2 Oct →
mirage13–110.0112%2 Oct →
anubis13–4-0.0318%2 Oct →
cache10–130.0220%2 Oct →
anubis13–40.0220%1 Oct →
nuke3–13-0.0111%27 Sept →
dust211–13-0.0016%27 Sept →
dust25–130.0221%27 Sept →
anubis12–16-0.0316%24 Sept →
ancient13–2-0.0111%24 Sept →
cache13–11-0.0216%24 Sept →
train10–130.0350%21 Sept →
dust27–130.0211%19 Sept →
inferno8–130.1219%19 Sept →
nuke13–100.0814%19 Sept →
ancient13–20.0711%19 Sept →
inferno13–8-0.0524%19 Sept →
inferno16–130.0516%15 Sept →
nuke13–8-0.0119%14 Sept →
dust213–70.0010%13 Sept →
ancient11–13-0.0712%13 Sept →
inferno13–9-0.0114%13 Sept →
dust213–20.0626%13 Sept →
mirage9–13-0.0121%13 Sept →
dust213–9-0.0214%13 Sept →
anubis13–110.0519%13 Sept →
dust211–130.0916%12 Sept →
ancient13–8-0.0011%12 Sept →
inferno13–110.1212%12 Sept →
dust213–20.0021%12 Sept →
anubis13–20.1031%11 Sept →
ancient13–30.0014%11 Sept →
ancient10–13-0.0213%11 Sept →
dust213–90.0423%11 Sept →
ancient5–13-0.0622%11 Sept →
dust213–50.1534%9 Sept →
cache8–13-0.0533%9 Sept →
nuke13–100.0017%8 Sept →
anubis3–13-0.0319%8 Sept →
dust213–60.0828%7 Sept →
mirage13–30.0418%5 Sept →
nuke4–13-0.0425%4 Sept →
dust28–13-0.0919%4 Sept →
dust26–13-0.0319%3 Sept →
ancient9–13-0.0711%3 Sept →
inferno8–13-0.0619%2 Sept →
mirage7–13-0.0910%2 Sept →
office7–13-0.0424%2 Sept →
dust213–80.049%30 Aug →
cache8–130.078%30 Aug →
nuke13–20.1026%30 Aug →
cache11–13-0.0119%29 Aug →
mirage5–13-0.0312%29 Aug →
vertigo13–90.029%10 Jul →
mirage8–13-0.0425%23 Jun →
anubis5–130.0017%23 Jun →
dust213–16-0.0526%31 May →
inferno13–50.0928%31 May →
dust213–10-0.055%31 May →
dust24–130.1026%25 May →
dust211–13-0.0211%25 May →
dust28–13-0.0311%25 May →
mirage11–130.0220%25 May →
ancient13–10-0.0217%18 May →
inferno7–13-0.0114%18 May →
mirage14–160.0317%18 May →

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.