Cerberus

Cerberus — CS2 Stats

AU76561198992986696[U:1:1032720968]Steam profile ↗

716Tracked matches57%Win rate2020Tracked since
1,034Hours in CS
CSDB Rating4.9 Developing
Premier CS Rating14,637Blue band · top ~30.3% of ranked players (population est.)
CSDB Leaderboard#28607 of 46055 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate40.5%41.4%44.2%3.7% short
Shot accuracy10.0%9.0%11.6%1.6% short
Kill/death ratio0.900.971.030.13 short
Match win rate30.6%43.7%45.2%14.6% short

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

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

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CSDB.GGCerberusPREMIER14,637 · Blue bandcsdb.gg/stats

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Performance scores

Aim50
Positioning52
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY49465Last 10049%Win rateWWLWLLWLTL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Aim5.0
Aggression8.4
Utility4.2
Positioning5.2
Opening Duels3.4

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 82% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: higher opening-fight frequency; 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

Reaction time. 684ms 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

Aim5.0
Positioning5.2
Utility4.2
Mechanics6.0
Opening Duels3.4
Win Impact7.4

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time679ms+14ms
first ⅓ avg 665ms → last ⅓ avg 679ms
Headshot accuracy19.8%+6.0%
first ⅓ avg 13.8% → last ⅓ avg 19.8%

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 — overpass 13–9
132Biggest win — mirage
4Longest win streak
W2Current streak
710In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 75% over 8infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA30171357%0.01
dust2C2181338%-0.01
trainS96367%-0.02
officeB84450%0.01
nukeC83538%-0.02
ancientB84450%0.01
overpassS86275%-0.01
infernoD51420%-0.02
anubis3030%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,363Lifetime kills
0.90K/D
3,798Matches
30.6%Match win rate
40.5%Headshot %
10.0%Shot accuracy · Top 50% of Blue band
3,365MVPs
1,034Hours (in match)
1,208Bombs planted
278Bombs defused

Most-used weapons

AK-477,726
AWP4,737
P903,934
SSG 082,027
XM10141,832
MP71,674

Lifetime map wins

6,519dust2
1,189inferno
1,016office
641nuke
578assault
458train
363italy
350vertigo

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.

18.9%Headshot accuracy
30.3%Accuracy (enemy spotted)
31.4%Spray accuracy
76.9%Counter-strafing
9.4°Preaim
684msReaction time
37.8%T opening success
49.7%CT opening success
0.51Enemies flashed / flash
5.3%Flash assists
11.63HE damage / grenade
5.08Flashes / 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 37.7922% — below the 40% mark we flag

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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–20.0917%4 May
mirage13–70.0324%4 May
office0–13-0.0520%22 Mar
office5–10.0763%22 Mar
office9–13-0.0022%22 Mar
mirage5–13-0.0111%9 Feb
nuke7–3-0.1030%9 Feb
nuke7–13-0.0121%9 Feb
anubis12–120.0418%9 Feb
anubis7–13-0.025%4 Feb
dust215–150.0210%30 Jan
dust213–2-0.0116%30 Jan
nuke13–80.0811%30 Jan
inferno16–140.0321%29 Jan
dust213–100.0414%29 Jan
ancient8–130.0819%28 Jan
mirage13–100.0611%28 Jan
overpass9–13-0.0015%28 Jan
nuke13–11-0.007%27 Jan
mirage13–50.0822%27 Jan
ancient13–6-0.0317%26 Jan
dust29–130.0420%26 Jan
mirage13–90.0133%26 Jan
dust29–13-0.0017%26 Jan
anubis14–160.0026%25 Jan
mirage13–70.0719%25 Jan
mirage10–130.0330%25 Jan
office13–11-0.0420%22 Jan
office9–130.0220%22 Jan
office13–50.0123%22 Jan
office3–130.0411%22 Jan
office13–70.039%22 Jan
mirage13–40.0031%19 Jan
mirage13–7-0.0225%19 Jan
dust29–13-0.0726%19 Jan
inferno7–13-0.077%19 Jan
mirage12–16-0.069%15 Jan
overpass16–14-0.0618%14 Jan
dust211–13-0.0516%12 Jan
train13–50.0419%12 Jan
mirage13–11-0.0217%12 Jan
ancient3–13-0.0610%11 Jan
mirage7–13-0.0126%11 Jan
dust29–20.0313%8 Jan
mirage9–13-0.0126%8 Jan
dust213–80.0324%8 Jan
ancient11–13-0.0515%8 Jan
nuke9–13-0.0517%7 Jan
ancient13–40.0719%7 Jan
train13–8-0.0120%7 Jan
train13–9-0.0520%6 Jan
dust24–13-0.0915%5 Jan
dust29–13-0.0415%5 Jan
ancient13–70.0720%4 Jan
train13–10-0.0711%4 Jan
mirage13–60.0717%4 Jan
mirage6–13-0.0718%4 Jan
mirage12–16-0.0413%4 Jan
overpass13–9-0.0110%3 Jan
mirage9–130.0419%2 Jan
mirage13–6-0.0222%2 Jan
mirage13–110.0221%2 Jan
nuke11–13-0.0521%2 Jan
dust213–10-0.0024%2 Jan
inferno7–13-0.0817%1 Jan
dust210–130.019%31 Dec
train11–13-0.0316%31 Dec
train12–120.0012%31 Dec
mirage13–6-0.0612%31 Dec
dust29–13-0.0311%30 Dec
mirage13–10-0.0211%30 Dec
train13–7-0.0411%29 Dec
train5–130.0020%29 Dec
dust27–13-0.0311%29 Dec
overpass13–40.0214%29 Dec
mirage13–50.0311%29 Dec
dust25–13-0.0112%28 Dec
dust213–100.0223%28 Dec
inferno11–130.0214%28 Dec
mirage13–11-0.0017%26 Dec
mirage11–130.0610%26 Dec
ancient10–13-0.0214%26 Dec
mirage9–13-0.0613%25 Dec
dust213–7-0.0219%25 Dec
overpass6–2-0.0627%25 Dec
overpass13–6-0.0012%25 Dec
inferno15–15-0.0219%24 Dec
dust213–9-0.0120%24 Dec
overpass4–13-0.0611%23 Dec
mirage13–100.048%23 Dec
train13–10-0.0112%23 Dec
nuke14–16-0.0210%22 Dec
mirage8–13-0.029%19 Dec
mirage11–130.0315%19 Dec
ancient13–100.0110%19 Dec
overpass13–90.0912%18 Dec
mirage11–13-0.0217%18 Dec
nuke9–13-0.037%17 Dec
dust25–130.0123%17 Dec
dust215–15-0.0511%17 Dec

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 →