GothicBanane

GothicBanane — CS2 Stats

DE76561199504340287[U:1:1544074559]Steam profile ↗✓ No bans

1,657Tracked matches59%Win rate2024Tracked since
1,604Hours in CS47Hrs last 2 wks
CSDB Rating6.9 SolidClutch Specialist
Premier CS Rating20,490Top 50% of 212,379 CSDB-tracked playersPink band · top ~8% of ranked players (population est.)
CSDB Leaderboard#76643 of 259176 tracked
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.

+358Premier CS Rating · 20,132 → 20,490

Rating over time

Premier CS Rating: 20,490 +1,231 30 Aug – 1 Nov · 22 days played
17,60421,125peak 21,12530 Aug1 Nov
21,125Peak Premier in tracked matches
29Days played since 2026-08-30

Premier CS Rating

  • 635 below peak (21,125)
  • +2,886 over 30 days · improving
  • Next: Red band at 25,000 — 4,510 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate49.1%46.9%49.3%meets
Shot accuracy0.0%13.0%13.4%13.4% short
Kill/death ratio1.861.081.12above
Match win rate38.6%46.7%48.5%9.9% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGGothicBananePREMIER20,490 · Pink 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

Aim73
Positioning70
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateWWLLWLLLLW

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · +1.6pp headshot accuracy · −33ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 530ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 542ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 559ms

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 (+3.6 against its own average).

Aim7.3
Utility5.1
Positioning7.0
Opening Duels3.4
Clutch10.0

Reliable 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

jL

Plays most like jL 87% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.3
Positioning7.0
Utility5.1
Mechanics7.2
Opening Duels5.2
Win Impact7.9

Composite 6.9/10 (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 rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time540ms+13ms
first ⅓ avg 526ms → last ⅓ avg 540ms
Headshot accuracy14.3%−1.1%
first ⅓ avg 15.4% → last ⅓ avg 14.3%

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 · 13–8 · nuke, 20 Sept →
38%Best headshot accuracy · 9–4 · inferno, 10 Oct →
359msFastest reaction time · 3–9 · inferno, 27 Oct →
13–2Biggest win · inferno, 26 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
10–4In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 67% over 9infernoWeakest map · 33% over 27
MapGradePlayedRecordWin rateAvg rating
infernoD279–1833%-0.02
dust2B199–1047%-0.01
nukeB178–947%-0.00
mirageC146–843%-0.02
ancientS96–367%0.01
cacheA53–260%0.02
vertigoA53–260%-0.02
anubis—41–325%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 27). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,353Lifetime kills
1.86K/D · Top 5% of Pink band
2,798Matches
38.6%Match win rate
49.1%Headshot % · Top 50% of Pink band
0.0%Shot accuracy
7,446MVPs
819Hours (in match)
2,256Bombs planted
589Bombs defused

Most-used weapons

AK-4733,003
AWP16,065
MP91,878
SSG 081,773
AUG610

Lifetime map wins

4,787inferno
4,787vertigo
3,032dust2
2,439nuke
286train
37office
9italy
8ar_baggage

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

Faceit stats

Combat

11Matches
36%Win rate
0.88Avg K/D
79.2ADR
48%Headshot %

Clutches & streaks

75%1v1 clutch win
11%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage475%1.0715.8
Dust230%0.8413.3
Nuke250%0.7212.0
Anubis10%0.5712.0
Ancient10%0.8815.0

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.

13.8%Headshot accuracy
38.2%Accuracy (enemy spotted)
41.8%Spray accuracy
82.2%Counter-strafing
11.5°Preaim
546msReaction time
56.8%T opening success
44.9%CT opening success
0.41Enemies flashed / flash
7.1%Flash assists
7.92HE damage / grenade
9.61Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.7554% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4079 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

33% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–6-0.0116%1 Nov →
ancient13–11-0.005%31 Oct →
inferno4–9-0.1525%31 Oct →
inferno9–13-0.0511%31 Oct →
dust213–8-0.0119%31 Oct →
nuke8–13-0.0910%31 Oct →
dust29–13-0.0720%31 Oct →
dust29–13-0.0219%31 Oct →
ancient10–130.0010%30 Oct →
inferno13–80.0519%30 Oct →
nuke5–13-0.0514%30 Oct →
dust210–13-0.0116%30 Oct →
inferno13–100.0218%29 Oct →
nuke13–3-0.0223%29 Oct →
ancient9–130.024%28 Oct →
cache13–70.0714%28 Oct →
nuke16–140.0313%28 Oct →
mirage13–50.025%28 Oct →
nuke13–110.0210%28 Oct →
ancient13–50.0920%28 Oct →
dust213–90.0413%28 Oct →
inferno13–10-0.0214%28 Oct →
inferno3–13-0.0814%27 Oct →
nuke3–13-0.0812%27 Oct →
dust213–11-0.0218%27 Oct →
mirage15–15-0.0112%27 Oct →
anubis13–6-0.0413%27 Oct →
inferno3–9-0.1918%27 Oct →
dust29–13-0.0211%27 Oct →
inferno13–90.0611%27 Oct →
ancient13–110.0111%27 Oct →
inferno5–13-0.0324%27 Oct →
nuke13–80.0712%26 Oct →
inferno13–20.0715%26 Oct →
dust213–6-0.0112%26 Oct →
ancient11–13-0.0021%26 Oct →
nuke13–100.0619%25 Oct →
nuke10–13-0.0110%25 Oct →
nuke4–130.0615%23 Oct →
nuke3–13-0.0719%23 Oct →
anubis6–13-0.0111%11 Oct →
inferno5–90.0031%10 Oct →
inferno9–40.1338%10 Oct →
mirage7–13-0.0119%9 Oct →
dust213–11-0.0517%9 Oct →
ancient13–90.0611%9 Oct →
inferno6–130.0322%6 Oct →
mirage2–13-0.0219%6 Oct →
vertigo13–110.0310%3 Oct →
anubis8–13-0.0718%26 Sept →
nuke4–13-0.0317%26 Sept →
inferno10–130.0320%26 Sept →
inferno8–8-0.0012%25 Sept →
cache13–160.0327%25 Sept →
nuke13–30.0716%25 Sept →
inferno5–130.0519%24 Sept →
inferno7–13-0.0118%23 Sept →
mirage10–130.0613%21 Sept →
mirage13–60.0113%21 Sept →
anubis9–13-0.0222%20 Sept →
cache13–80.0419%20 Sept →
inferno9–130.0615%20 Sept →
nuke13–80.158%20 Sept →
dust211–13-0.0418%19 Sept →
mirage13–9-0.0011%19 Sept →
inferno16–120.0210%19 Sept →
ancient13–7-0.069%19 Sept →
inferno14–16-0.0315%19 Sept →
dust29–13-0.0710%19 Sept →
dust29–13-0.0516%19 Sept →
dust213–20.1013%19 Sept →
inferno10–130.0213%16 Sept →
dust27–20.1113%16 Sept →
vertigo8–80.0512%13 Sept →
vertigo9–5-0.0017%13 Sept →
inferno3–9-0.1727%13 Sept →
inferno5–9-0.0918%13 Sept →
inferno6–9-0.059%13 Sept →
inferno9–7-0.0526%13 Sept →
inferno9–40.0310%13 Sept →
vertigo4–9-0.1833%13 Sept →
mirage4–13-0.0419%13 Sept →
inferno14–16-0.1021%12 Sept →
dust29–13-0.0410%11 Sept →
mirage7–13-0.077%11 Sept →
dust213–2-0.019%11 Sept →
mirage2–13-0.108%7 Sept →
mirage13–50.037%7 Sept →
dust213–110.0011%7 Sept →
nuke7–130.0033%2 Sept →
nuke13–7-0.0431%2 Sept →
vertigo13–7-0.0210%2 Sept →
dust27–130.0212%2 Sept →
mirage13–9-0.0213%1 Sept →
mirage16–13-0.0120%30 Aug →
ancient13–11-0.0213%30 Aug →
cache5–13-0.0410%30 Aug →
nuke12–16-0.0720%30 Aug →
mirage10–13-0.0817%30 Aug →
dust28–13-0.045%30 Aug →

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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