Bilbo

Bilbo — CS2 Stats

GB76561198194175361[U:1:233909633]Steam profile ↗✓ No bans

1,142Tracked matches31%Win rate2023Tracked since
881Hours in CS6Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Premier CS Rating19,335Top 50% of 211,308 CSDB-tracked playersPurple band · top ~11.1% of ranked players (population est.)
CSDB Leaderboard#94425 of 258275 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 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: 19,335 -1,336 29 Sept – 27 Oct · 5 days played
19,33520,993peak 20,99329 Sept27 Oct
21,101Peak Premier in tracked matches
31Days played since 2026-08-09

Premier CS Rating

  • 1,658 below peak (20,993)
  • -1,336 over 30 days · declining
  • Next: Pink band at 20,000 — 665 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate41.6%44.4%46.9%5.3% short
Shot accuracy0.3%11.9%13.0%12.7% short
Kill/death ratio0.741.031.080.34 short
Match win rate46.6%45.2%46.7%meets

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGBilboPREMIER19,335 · Purple bandcsdb.gg/stats

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Performance scores

Aim70
Positioning50
Utility61

0–100 skill scores via Leetify.

Recent form

COLD40–53–7Last 10040%Win rateLLLLLLLWLL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −2.6pp headshot accuracy · −8ms reaction

Win rate down 20pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 569ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 566ms

Last 20

  • 4–15–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 570ms

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: Support — Utility contribution stands above the rest of this profile (+3 against its own average).

Aim7.0
Utility6.1
Positioning5.0
Opening Duels1.3
Clutch0.0

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

ZywOo

Plays most like ZywOo 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower 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

Areas to improve

Reaction time. 562ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.0
Positioning5.0
Utility6.1
Mechanics5.8
Opening Duels3.4
Win Impact0.0

Composite 5.2/10 (Developing), 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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time556ms−53ms
first ⅓ avg 609ms → last ⅓ avg 556ms
Headshot accuracy18.3%+2.2%
first ⅓ avg 16.1% → last ⅓ avg 18.3%

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

0.17Best match rating · 13–2 · vertigo, 15 Aug →
44%Best headshot accuracy · 1–13 · anubis, 3 Oct →
375msFastest reaction time · 13–0 · inferno, 25 Sept →
13–0Biggest win · inferno, 25 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L7Current streak
7–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 64% over 11mirageWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB2210–1245%-0.02
cacheC218–1338%-0.03
anubisD186–1233%0.00
vertigoA117–464%0.01
mirageD101–910%-0.05
nukeA95–456%-0.01
ancientD62–433%-0.03
dust2—31–233%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (10% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,098Lifetime kills
0.74K/D
1,293Matches
46.6%Match win rate · Top 50% of Purple band
41.6%Headshot %
0.3%Shot accuracy
2,057MVPs
540Hours (in match)
1,612Bombs planted
268Bombs defused

Most-used weapons

Lifetime map wins

3,543inferno
2,578nuke
1,276vertigo
428dust2
187train
9lake
8cbble
7italy

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

Faceit stats

Combat

42Matches
45%Win rate
0.80Avg K/D
70.7ADR
42%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1258%0.8912.0
Nuke838%0.9312.8
Ancient743%0.6811.9
Anubis617%0.6813.3
Vertigo580%0.8410.6
Dust2250%0.5810.5
Mirage10%1.0716.0
Cache10%0.386.0

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.

18.1%Headshot accuracy
33.0%Accuracy (enemy spotted)
35.4%Spray accuracy
76.0%Counter-strafing
8.3°Preaim
562msReaction time
50.9%T opening success
36.1%CT opening success
0.60Enemies flashed / flash
6.0%Flash assists
8.07HE damage / grenade
9.46Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.1441% — below the 40% mark we flag

Spend your practice time on Mirage

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

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0210%27 Oct →
mirage9–13-0.0814%24 Oct →
anubis3–130.0413%24 Oct →
nuke5–13-0.0118%24 Oct →
anubis10–130.0013%21 Oct →
mirage2–13-0.0726%21 Oct →
cache6–13-0.0626%17 Oct →
inferno13–7-0.0224%17 Oct →
inferno6–130.0521%10 Oct →
cache10–13-0.0824%4 Oct →
inferno13–100.0118%4 Oct →
inferno11–130.0112%3 Oct →
anubis1–13-0.0344%3 Oct →
nuke13–90.0318%3 Oct →
anubis9–130.0724%1 Oct →
cache9–130.0225%30 Sept →
inferno11–130.0324%30 Sept →
anubis12–12-0.0013%30 Sept →
vertigo13–90.0814%30 Sept →
mirage3–13-0.0322%30 Sept →
mirage1–8-0.1321%30 Sept →
ancient13–4-0.0413%29 Sept →
anubis13–70.0521%29 Sept →
mirage11–13-0.055%27 Sept →
cache13–60.0217%27 Sept →
dust21–13-0.0829%27 Sept →
dust213–10-0.0217%27 Sept →
cache16–14-0.016%27 Sept →
mirage5–13-0.0711%27 Sept →
anubis1–130.0326%27 Sept →
mirage13–60.0217%27 Sept →
inferno6–13-0.0811%27 Sept →
anubis13–110.026%26 Sept →
inferno13–50.0611%26 Sept →
anubis10–13-0.0012%26 Sept →
inferno11–13-0.0220%26 Sept →
nuke13–8-0.0415%26 Sept →
cache12–120.0310%26 Sept →
vertigo13–50.0221%26 Sept →
inferno13–0-0.0118%25 Sept →
mirage13–16-0.0720%25 Sept →
ancient5–13-0.059%24 Sept →
inferno13–11-0.089%24 Sept →
anubis13–70.0020%23 Sept →
cache13–110.0118%19 Sept →
anubis12–120.0023%19 Sept →
inferno8–13-0.0543%19 Sept →
cache4–13-0.0621%18 Sept →
cache7–13-0.0528%18 Sept →
anubis12–12-0.0223%14 Sept →
inferno16–14-0.0118%14 Sept →
cache13–9-0.0321%9 Sept →
inferno8–13-0.0612%9 Sept →
inferno11–130.0720%8 Sept →
anubis12–12-0.0424%8 Sept →
vertigo9–130.0223%8 Sept →
cache13–11-0.0315%8 Sept →
inferno13–9-0.0420%5 Sept →
nuke5–13-0.0328%5 Sept →
ancient10–13-0.0412%5 Sept →
cache8–13-0.0425%5 Sept →
cache13–10-0.0212%4 Sept →
anubis13–50.0712%4 Sept →
inferno11–13-0.0114%4 Sept →
vertigo13–7-0.0411%4 Sept →
nuke13–100.0218%3 Sept →
inferno4–13-0.0921%3 Sept →
cache7–130.0142%3 Sept →
anubis13–8-0.0534%3 Sept →
vertigo13–4-0.0513%3 Sept →
dust26–13-0.0714%28 Aug →
inferno5–13-0.0213%28 Aug →
cache13–6-0.0819%28 Aug →
vertigo8–13-0.0514%28 Aug →
nuke13–9-0.0222%28 Aug →
inferno0–13-0.0519%28 Aug →
inferno13–5-0.0412%23 Aug →
ancient8–13-0.0111%23 Aug →
cache7–13-0.048%23 Aug →
vertigo5–13-0.0213%22 Aug →
anubis7–13-0.049%22 Aug →
inferno13–7-0.0127%22 Aug →
cache13–1-0.0422%22 Aug →
ancient13–60.005%22 Aug →
vertigo13–7-0.0615%22 Aug →
nuke3–13-0.0218%22 Aug →
vertigo13–8-0.0217%21 Aug →
inferno13–90.009%21 Aug →
nuke13–50.0316%19 Aug →
anubis12–12-0.0216%19 Aug →
vertigo12–120.0118%17 Aug →
anubis13–11-0.0211%17 Aug →
cache7–13-0.058%17 Aug →
nuke11–13-0.0616%15 Aug →
cache8–13-0.0519%15 Aug →
ancient8–13-0.0416%15 Aug →
vertigo13–20.1716%15 Aug →
cache6–130.0013%15 Aug →
mirage0–13-0.056%9 Aug →
cache10–13-0.0122%9 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.