Bellboy

Bellboy — CS2 Stats

AU76561198892851864[U:1:932586136]Steam profile ↗

290Tracked matches54%Win rate2026Tracked since
303Hours in CS33Hrs last 2 wks
CSDB Rating5.0 Developing
Premier CS Rating3,651Grey band · top ~84.5% of ranked players (population est.)
CSDB Leaderboard#28263 of 36364 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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 playerLight Blue band medianvs Light Blue band
Headshot rate54.5%40.1%above
Shot accuracy1.2%7.6%6.4% short
Kill/death ratio0.850.920.07 short
Match win rate34.8%42.2%7.4% short

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

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

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CSDB.GGBellboyPREMIER3,651 · Grey bandcsdb.gg/stats

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Performance scores

Aim59
Positioning61
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY60373Last 10060%Win rateLLWLWWWLLW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

Aim5.9
Aggression6.8
Utility4.7
Positioning6.1
Opening Duels2.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 49% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 644ms 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

Aim5.9
Positioning6.1
Utility4.7
Mechanics6.4
Opening Duels2.4
Win Impact6.2

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time667ms+27ms
first ⅓ avg 640ms → last ⅓ avg 667ms
Headshot accuracy22.6%+3.6%
first ⅓ avg 18.9% → last ⅓ avg 22.6%

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.

Highlights

0.16Best rating — train 13–2
130Biggest win — dust2
8Longest win streak
L2Current streak
53In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 78% over 9trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A30191163%0.02
infernoS1711665%0.01
nukeS129375%0.01
cacheS97278%0.01
mirageA85363%-0.01
ancientD72529%-0.02
vertigoS64267%0.04
trainD51420%0.01
anubis21150%0.03
boulder1010%0.03
shelter110100%0.08
office1010%-0.01
overpass1010%0.14

Across the last 100 tracked matches.

Lifetime stats

9,384Lifetime kills
0.85K/D
560Matches
34.8%Match win rate
54.5%Headshot % · Top 25% of tracked players
1.2%Shot accuracy
754MVPs
355Hours (in match)
423Bombs planted
84Bombs defused

Most-used weapons

Lifetime map wins

902dust2
539inferno
342nuke
158office
135vertigo
113train
38italy
11lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.5%Headshot accuracy
34.9%Accuracy (enemy spotted)
36.6%Spray accuracy
78.7%Counter-strafing
12.4°Preaim
644msReaction time
28.4%T opening success
48.8%CT opening success
0.52Enemies flashed / flash
4.5%Flash assists
8.30HE damage / grenade
10.03Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3799° — above the 12° mark we flag

    Aim Training
Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.068%29 Aug
dust28–13-0.0410%29 Aug
cache13–8-0.0520%28 Aug
dust29–13-0.0224%28 Aug
dust23–00.1375%28 Aug
inferno13–70.0620%28 Aug
cache13–3-0.0011%28 Aug
mirage9–13-0.0124%25 Aug
ancient9–13-0.0616%25 Aug
dust213–80.0725%25 Aug
dust29–13-0.0611%25 Aug
dust26–130.0628%25 Aug
dust213–9-0.0621%25 Aug
ancient12–12-0.0527%25 Aug
nuke13–110.0429%22 Aug
nuke5–13-0.0742%22 Aug
dust213–60.0318%22 Aug
dust212–120.1220%22 Aug
nuke12–16-0.0324%22 Aug
inferno7–13-0.0019%22 Aug
ancient13–10.0620%22 Aug
dust29–13-0.069%22 Aug
dust213–50.0313%21 Aug
inferno13–100.1223%21 Aug
dust25–130.0523%21 Aug
ancient10–13-0.0116%21 Aug
dust213–11-0.0215%21 Aug
inferno13–50.0532%19 Aug
dust213–4-0.0124%19 Aug
nuke13–7-0.0315%19 Aug
nuke13–100.0422%18 Aug
ancient6–130.0226%18 Aug
boulder7–130.0335%18 Aug
train6–130.0516%18 Aug
dust213–60.1217%18 Aug
vertigo13–20.0518%18 Aug
mirage13–30.0212%16 Aug
inferno13–11-0.0311%16 Aug
dust213–70.0111%16 Aug
cache9–130.0230%16 Aug
mirage13–60.0212%15 Aug
inferno13–30.0413%15 Aug
shelter12–20.0816%15 Aug
train0–13-0.0535%15 Aug
dust213–90.0119%15 Aug
cache13–60.0921%14 Aug
nuke13–5-0.0026%14 Aug
vertigo13–40.0422%14 Aug
ancient13–10-0.0216%14 Aug
train13–20.1612%13 Aug
dust213–7-0.065%13 Aug
dust213–30.0128%13 Aug
train7–13-0.0316%13 Aug
dust213–70.0613%13 Aug
inferno13–5-0.1116%11 Aug
nuke13–90.0410%11 Aug
inferno11–130.0316%10 Aug
mirage13–50.0123%10 Aug
dust213–0-0.0021%10 Aug
cache13–70.0120%10 Aug
cache13–20.0521%9 Aug
nuke13–80.0215%9 Aug
anubis5–130.0511%9 Aug
inferno7–10.1419%8 Aug
office4–11-0.0112%8 Aug
dust216–130.0520%7 Aug
cache13–110.0413%7 Aug
nuke13–40.0713%6 Aug
inferno8–130.0119%6 Aug
overpass10–130.1418%6 Aug
nuke3–13-0.0124%6 Aug
nuke13–60.0113%5 Aug
inferno13–100.0710%4 Aug
dust213–80.0331%4 Aug
mirage8–13-0.0334%4 Aug
inferno13–50.0318%1 Aug
inferno12–12-0.0019%1 Aug
vertigo10–13-0.038%1 Aug
vertigo10–13-0.045%1 Aug
dust214–160.0424%31 Jul
nuke13–30.0627%31 Jul
vertigo13–90.0618%29 Jul
vertigo13–30.1318%29 Jul
dust213–40.0622%28 Jul
dust213–110.0832%28 Jul
inferno13–6-0.0221%28 Jul
anubis13–40.0213%27 Jul
dust213–16-0.0520%27 Jul
mirage13–9-0.0825%27 Jul
dust213–5-0.0122%26 Jul
inferno13–7-0.0619%26 Jul
ancient5–13-0.0717%25 Jul
cache1–13-0.066%25 Jul
inferno3–13-0.0516%25 Jul
mirage9–13-0.0517%25 Jul
dust26–13-0.0229%25 Jul
cache13–3-0.0119%24 Jul
mirage13–30.0425%24 Jul
train0–13-0.060%24 Jul
dust211–13-0.0322%23 Jul

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →