Bubz — CS2 Stats

76561198096928341[U:1:136662613]

594Tracked matches74%Win rate2023Tracked since
1,178Hours in CS1Hrs last 2 wks
CSDB Rating5.6 SolidPassive Rifler
Premier CS Rating18,118Purple band · top ~16% of ranked players (population est.)
CSDB Leaderboard#17993 of 36297 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 rate37.9%44.1%47.2%9.3% short
Shot accuracy8.2%11.4%12.7%4.5% short
Kill/death ratio0.921.031.090.17 short
Match win rate38.5%45.2%46.6%8.1% short

This profile sits below the typical Pink band player on every metric we can compare.

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.

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CSDB.GGBubzPREMIER18,118 · Purple bandcsdb.gg/stats

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Performance scores

Aim63
Positioning31
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY55387Last 10055%Win rateLWWTLWWTWL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.3
Aggression1.4
Utility6.0
Positioning3.1
Opening Duels0.0

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

NiKo

Plays most like NiKo 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower opening-fight frequency.

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

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

Reaction time. 621ms 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

Aim6.3
Positioning3.1
Utility6.0
Mechanics8.2
Opening Duels0.0
Win Impact10.0

Composite 5.6/10 (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 rating-0.03+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time623ms−87ms
first ⅓ avg 710ms → last ⅓ avg 623ms
Headshot accuracy11.8%−0.5%
first ⅓ avg 12.3% → last ⅓ avg 11.8%

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

0.09Best rating — mirage 13–2
131Biggest win — mirage
8Longest win streak
84In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 80% over 10ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
cacheB39192049%-0.04
mirageA1811761%-0.03
infernoA127558%-0.05
anubisS108280%-0.04
ancientD93633%-0.05
overpassS54180%0.01
train42250%-0.03
dust221150%-0.03
nuke1010%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,003Lifetime kills
0.92K/D
1,839Matches
38.5%Match win rate
37.9%Headshot %
8.2%Shot accuracy
1,643MVPs
548Hours (in match)
1,172Bombs planted
222Bombs defused

Most-used weapons

Lifetime map wins

1,996inferno
999train
974dust2
968vertigo
386nuke
285office
152cbble
47italy

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.

11.7%Headshot accuracy
35.1%Accuracy (enemy spotted)
37.5%Spray accuracy
86.8%Counter-strafing
10.6°Preaim
621msReaction time
23.2%T opening success
28.9%CT opening success
0.60Enemies flashed / flash
5.5%Flash assists
11.95HE damage / grenade
5.34Flashes / 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 11.6879% — below the 15% mark we flag

    Aim Training
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 23.194% — below the 40% mark we flag

Spend your practice time on Ancient

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 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0917%17 Aug
inferno13–9-0.019%14 Aug
cache13–5-0.0214%12 Aug
overpass12–12-0.0113%10 Aug
ancient2–13-0.1112%10 Aug
cache13–10-0.043%9 Aug
train13–60.0013%5 Aug
inferno15–15-0.084%3 Aug
inferno13–11-0.049%2 Aug
mirage7–13-0.0811%1 Aug
mirage13–11-0.0219%31 Jul
mirage13–20.0411%31 Jul
ancient7–13-0.062%31 Jul
mirage13–20.0917%31 Jul
anubis13–8-0.0410%30 Jul
mirage2–13-0.0313%22 Jul
cache13–8-0.019%22 Jul
mirage4–13-0.079%18 Jul
cache15–15-0.0425%18 Jul
cache13–11-0.0220%18 Jul
ancient13–10-0.017%16 Jul
anubis10–13-0.075%15 Jul
cache13–8-0.0212%14 Jul
mirage13–1-0.024%13 Jul
inferno13–11-0.055%12 Jul
overpass13–10.0514%11 Jul
anubis13–7-0.0314%10 Jul
cache13–5-0.0933%10 Jul
ancient13–8-0.042%7 Jul
mirage13–2-0.0519%6 Jul
nuke8–13-0.079%5 Jul
ancient10–13-0.0712%4 Jul
overpass13–2-0.0014%4 Jul
anubis13–100.0112%4 Jul
cache4–13-0.1013%4 Jul
cache13–50.0023%23 Jun
inferno11–13-0.119%23 Jun
mirage15–15-0.0511%22 Jun
cache6–13-0.0717%22 Jun
train13–2-0.0221%22 Jun
mirage5–13-0.017%21 Jun
ancient13–20.0010%20 Jun
inferno13–3-0.0310%20 Jun
dust213–10-0.0711%20 Jun
mirage13–1-0.0213%20 Jun
cache13–20.0021%20 Jun
anubis13–9-0.0717%18 Jun
cache7–13-0.0312%17 Jun
mirage12–12-0.079%14 Jun
cache5–13-0.0413%14 Jun
cache9–13-0.047%11 Jun
train11–13-0.0113%11 Jun
mirage13–4-0.0311%10 Jun
cache6–13-0.0625%6 Jun
train10–13-0.0812%6 Jun
anubis13–40.019%5 Jun
ancient4–13-0.0424%4 Jun
inferno9–13-0.0515%4 Jun
mirage13–10-0.0815%30 May
anubis13–4-0.006%30 May
cache10–13-0.0715%30 May
cache13–11-0.038%24 May
anubis13–8-0.036%18 May
cache12–12-0.018%17 May
cache10–13-0.0415%17 May
cache4–13-0.0711%17 May
cache13–9-0.0318%16 May
anubis13–6-0.067%11 May
cache7–13-0.0519%10 May
cache13–5-0.0315%9 May
cache6–13-0.0615%9 May
cache10–13-0.0515%6 May
cache13–9-0.029%6 May
cache12–12-0.0513%4 May
cache5–13-0.094%3 May
cache13–11-0.1011%3 May
cache13–9-0.0116%3 May
cache9–13-0.0313%2 May
cache13–8-0.046%2 May
cache11–13-0.0714%2 May
cache13–6-0.0919%2 May
cache10–13-0.095%30 Apr
cache13–9-0.0210%29 Apr
cache13–4-0.0121%29 Apr
cache9–13-0.049%29 Apr
cache13–3-0.0321%29 Apr
overpass13–30.0613%26 Apr
mirage13–5-0.046%26 Apr
inferno13–10-0.0411%26 Apr
anubis11–13-0.0914%25 Apr
inferno13–4-0.043%25 Apr
mirage13–11-0.0521%24 Apr
inferno13–7-0.0312%24 Apr
ancient5–13-0.1021%23 Apr
mirage9–13-0.0019%22 Apr
inferno3–13-0.067%22 Apr
mirage13–11-0.0821%21 Apr
ancient3–13-0.060%21 Apr
dust25–130.0110%18 Apr
overpass13–3-0.064%18 Apr

Match data via Leetify.

Recent teammates

Milestones

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