Musaby — CS2 Stats

76561198142953334[U:1:182687606]

1,719Tracked matches45%Win rate2020Tracked since
4,380Hours in CS11Hrs last 2 wks
CSDB Rating4.4 Developing
Premier CS Rating16,794Purple band · top ~21.3% of ranked players (population est.)
CSDB Leaderboard#29046 of 54291 tracked
WingmanGold Nova Master
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 rate45.7%44.2%47.1%1.4% short
Shot accuracy15.4%11.6%12.8%above
Kill/death ratio1.011.031.080.08 short
Match win rate42.6%45.2%46.6%4.0% short

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

Widest gap: Match win 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.GGMusabyPREMIER16,794 · Purple bandcsdb.gg/stats

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Performance scores

Aim50
Positioning48
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY37603Last 10037%Win rateLLWWWWLWWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Aim5.0
Aggression5.2
Utility4.5
Positioning4.8
Opening Duels1.6
Clutch2.6

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 82% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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 52% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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
Positioning4.8
Utility4.5
Mechanics4.6
Opening Duels2.7
Win Impact3.3

Composite 4.4/10 (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+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time613ms−71ms
first ⅓ avg 683ms → last ⅓ avg 613ms
Headshot accuracy17.9%−1.2%
first ⅓ avg 19.0% → last ⅓ avg 17.9%

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 — inferno 9–2
133Biggest win — ancient
4Longest win streak
L2Current streak
718In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 46% over 13infernoWeakest map · 29% over 34
MapGradePlayedRecordWin rateAvg rating
infernoD34102429%-0.02
dust2B22101245%-0.02
nukeD1441029%0.00
cacheB136746%-0.03
ancientD72529%-0.01
mirageC52340%-0.03
anubis32167%-0.00
train110100%-0.02
overpass1010%-0.15

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 34). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,759Lifetime kills
1.01K/D
5,603Matches
42.6%Match win rate
45.7%Headshot % · Top 50% of Purple band
15.4%Shot accuracy · Top 25% of Purple band
12,623MVPs
2,309Hours (in match)
6,664Bombs planted
980Bombs defused

Most-used weapons

AK-4733,325
P2509,927
MP75,208
FAMAS3,704
Tec-92,616

Lifetime map wins

12,642inferno
11,173dust2
4,195nuke
1,440vertigo
1,073train
1,011cbble
657office
128italy

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

Faceit stats

Combat

65Matches
57%Win rate
1.22Avg K/D
79.1ADR
44%Headshot %

Clutches & streaks

33%1v1 clutch win
13%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2743%1.0215.9
Mirage425%0.8413.3
Anubis2100%1.1616.0
Overpass1100%0.408.0
Inferno1100%2.5718.0
Vertigo1100%0.9415.0

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.

17.6%Headshot accuracy
30.7%Accuracy (enemy spotted)
31.0%Spray accuracy
70.9%Counter-strafing
9.3°Preaim
620msReaction time
20.6%T opening success
51.9%CT opening success
0.49Enemies flashed / flash
3.3%Flash assists
8.15HE damage / grenade
5.11Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4928 — below the 0.5 mark we flag

    Grenade Lineups
  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 20.5672% — 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.

29% win rate across 34 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0621%19 Aug
inferno6–9-0.0318%19 Aug
dust213–6-0.0320%18 Aug
anubis13–100.0224%18 Aug
dust213–80.0114%18 Aug
dust213–90.0414%18 Aug
ancient7–130.0413%18 Aug
inferno13–4-0.0115%18 Aug
ancient13–30.1220%18 Aug
cache5–13-0.0526%17 Aug
dust210–13-0.0016%17 Aug
dust213–80.0122%17 Aug
train13–9-0.0211%16 Aug
dust25–13-0.0219%16 Aug
inferno4–130.0217%16 Aug
dust211–13-0.0114%16 Aug
mirage8–13-0.0227%16 Aug
inferno13–11-0.0017%16 Aug
cache13–6-0.0514%16 Aug
dust213–80.0417%16 Aug
anubis6–13-0.057%15 Aug
cache11–13-0.0022%15 Aug
cache7–13-0.0610%14 Aug
nuke15–150.0216%14 Aug
nuke9–130.0512%14 Aug
ancient14–16-0.0018%13 Aug
nuke13–7-0.0524%13 Aug
mirage13–9-0.0627%13 Aug
ancient11–13-0.1017%13 Aug
inferno9–60.0728%13 Aug
mirage6–13-0.0715%12 Aug
cache8–13-0.0220%12 Aug
inferno7–130.0217%12 Aug
inferno7–90.0927%12 Aug
inferno4–9-0.1119%11 Aug
inferno6–12-0.0917%11 Aug
inferno9–10.0028%11 Aug
dust216–13-0.0415%10 Aug
cache13–110.0211%10 Aug
inferno11–13-0.0713%9 Aug
nuke13–11-0.017%9 Aug
cache13–10-0.0416%7 Aug
dust29–130.0125%7 Aug
ancient8–13-0.0814%2 Aug
cache13–6-0.0417%2 Aug
cache13–11-0.0320%2 Aug
dust211–13-0.0319%2 Aug
dust213–100.0119%2 Aug
inferno9–50.1034%2 Aug
dust213–100.0119%1 Aug
inferno12–16-0.0132%30 Jul
mirage13–50.0527%30 Jul
ancient13–3-0.017%26 Jul
nuke14–16-0.0618%26 Jul
inferno8–80.0130%25 Jul
inferno4–9-0.1132%25 Jul
nuke14–160.0120%24 Jul
inferno11–130.0116%24 Jul
anubis13–80.0314%24 Jul
inferno9–20.1646%24 Jul
overpass2–9-0.1527%24 Jul
inferno3–9-0.126%24 Jul
inferno8–13-0.0311%23 Jul
nuke9–60.0523%23 Jul
dust213–7-0.0222%22 Jul
dust213–10-0.0023%22 Jul
nuke9–30.1425%22 Jul
inferno9–13-0.0432%21 Jul
dust29–13-0.0325%21 Jul
dust24–13-0.0526%20 Jul
inferno6–130.0120%20 Jul
inferno13–40.0831%19 Jul
inferno11–13-0.0611%19 Jul
cache16–14-0.0216%19 Jul
inferno4–9-0.0520%19 Jul
inferno7–9-0.0716%19 Jul
nuke5–90.0317%19 Jul
nuke6–130.0025%19 Jul
dust211–13-0.0311%18 Jul
inferno13–110.0116%18 Jul
nuke5–13-0.0119%18 Jul
ancient7–13-0.029%18 Jul
nuke15–15-0.0021%18 Jul
cache2–13-0.0519%18 Jul
inferno5–13-0.0321%17 Jul
cache0–13-0.0533%17 Jul
mirage4–13-0.0616%17 Jul
inferno7–90.0510%17 Jul
inferno7–13-0.0710%17 Jul
inferno6–9-0.1121%17 Jul
cache11–13-0.0318%16 Jul
inferno6–9-0.0711%16 Jul
inferno5–9-0.1314%16 Jul
inferno9–70.1024%16 Jul
nuke1–9-0.0619%16 Jul
dust214–16-0.0416%15 Jul
dust211–13-0.0217%15 Jul
inferno13–5-0.0913%15 Jul
nuke4–13-0.0825%14 Jul
dust29–13-0.0625%14 Jul

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 →