Subby

Subby — CS2 Stats

DE76561198405035184[U:1:444769456]Steam profile ↗✓ No bans

75Tracked matches43%Win rate2021Tracked since
549Hours in CS4Hrs last 2 wks
CSDB Rating5.0 DevelopingPassive Rifler
Premier CS Rating19,236Purple band · top ~11.5% of ranked players (population est.)
CSDB Leaderboard#23191 of 54207 tracked
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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 rate39.3%44.2%47.1%7.8% short
Shot accuracy19.4%11.6%12.8%above
Kill/death ratio1.241.031.08above
Match win rate48.0%45.2%46.6%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGSubbyPREMIER19,236 · Purple bandcsdb.gg/stats

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Performance scores

Aim76
Positioning34
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY37352Last 7450%Win rateLLLWLWWWLL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

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

Aim7.6
Aggression1.0
Utility4.5
Positioning3.4
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 72% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning 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 42 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 637ms 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

Aim7.6
Positioning3.4
Utility4.5
Mechanics7.3
Opening Duels0.0
Win Impact2.8

Composite 5.0/10 (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 rating0.00−0.04
first ⅓ avg 0.04 → last ⅓ avg 0.00
Reaction time646ms−43ms
first ⅓ avg 690ms → last ⅓ avg 646ms
Headshot accuracy16.4%+0.2%
first ⅓ avg 16.2% → last ⅓ avg 16.4%

Rolling 5-match average across the last 74 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.13Best rating — dust2 13–3
131Biggest win — vertigo
5Longest win streak
L3Current streak
52In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 57% over 21ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C2291341%0.02
mirageA2112957%0.01
infernoC73443%0.04
ancientD72529%0.03
anubis41325%0.03
cache43175%-0.01
vertigo440100%0.03
overpass21150%-0.01
nuke110100%-0.02
eldorado1010%-0.18
debris110100%0.03

Across the last 74 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,582Lifetime kills
1.24K/D · Top 25% of Purple band
760Matches
48.0%Match win rate · Top 50% of Purple band
39.3%Headshot %
19.4%Shot accuracy · Top 5% of Purple band
2,135MVPs
298Hours (in match)
945Bombs planted
206Bombs defused

Most-used weapons

Lifetime map wins

3,313dust2
571inferno
153vertigo
71cbble
43office
40nuke
22lake
10bank

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.

16.4%Headshot accuracy
37.8%Accuracy (enemy spotted)
42.5%Spray accuracy
82.8%Counter-strafing
8.9°Preaim
637msReaction time
19.7%T opening success
27.7%CT opening success
0.56Enemies flashed / flash
7.9%Flash assists
9.03HE damage / grenade
5.00Flashes / 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

    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 19.6795% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0411%19 Aug
mirage10–13-0.0322%19 Aug
dust210–13-0.0116%17 Aug
mirage13–11-0.0421%17 Aug
dust29–13-0.0125%17 Aug
mirage13–60.1113%17 Aug
mirage13–60.0721%15 Aug
dust213–70.0223%14 Aug
mirage8–130.0321%14 Aug
anubis6–130.0711%14 Aug
inferno7–130.0410%14 Aug
cache13–7-0.0510%9 Aug
dust29–13-0.026%8 Aug
cache8–13-0.0217%6 Aug
mirage13–80.0517%6 Aug
mirage9–13-0.0218%6 Aug
dust213–9-0.0318%6 Aug
anubis13–80.0418%5 Aug
mirage5–13-0.0725%5 Aug
mirage10–130.0014%5 Aug
nuke13–11-0.0215%4 Aug
dust26–13-0.0026%3 Aug
cache13–9-0.0214%3 Aug
mirage4–13-0.073%3 Aug
inferno6–13-0.0625%1 Aug
dust213–80.016%1 Aug
mirage13–110.019%1 Aug
inferno3–13-0.0312%1 Aug
mirage10–13-0.0423%1 Aug
mirage13–6-0.0220%1 Aug
inferno13–80.0824%1 Aug
dust29–130.0018%1 Aug
eldorado2–9-0.1850%1 Aug
debris9–40.0314%1 Aug
mirage13–20.040%17 Apr
ancient3–13-0.079%17 Apr
ancient6–130.0639%18 Mar
ancient13–40.1231%16 Mar
ancient13–50.0720%16 Mar
dust213–80.0522%16 Mar
mirage13–90.0217%15 Mar
ancient5–13-0.019%15 Mar
overpass3–6-0.0610%13 Mar
inferno8–80.0621%13 Mar
vertigo9–60.016%13 Mar
anubis11–130.0014%12 Mar
dust26–130.0021%12 Mar
mirage13–5-0.0121%12 Mar
mirage13–70.0618%6 Mar
dust29–130.0013%3 Jan
vertigo13–80.0212%3 Jan
mirage13–100.0415%3 Jan
dust213–70.0527%6 Dec
dust213–30.1318%6 Dec
inferno13–40.1221%5 Dec
ancient10–130.008%5 Oct
overpass13–90.0413%4 Oct
dust210–13-0.0035%4 Oct
anubis7–13-0.0126%27 May
dust22–130.0017%13 Dec
dust210–13-0.0714%13 Dec
dust212–120.0412%12 Aug
inferno16–140.0422%2 Jan
vertigo13–10.119%2 Jan
dust213–50.079%29 Dec
mirage8–130.0310%24 Dec
mirage13–30.0515%24 Dec
ancient11–130.064%22 Dec
dust213–50.0620%22 Dec
dust28–130.0614%30 Nov
vertigo13–11-0.0217%26 Nov
mirage10–13-0.0310%26 Nov
dust216–50.0625%11 Feb
cache16–130.0417%5 Feb

Match data via Leetify.

Recent teammates

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