Bmbevil — CS2 Stats

76561198012528886[U:1:52263158]

937Tracked matches44%Win rate2021Tracked since
1,155Hours in CS8Hrs last 2 wks
CSDB Rating4.8 Developing
Premier CS Rating16,654Purple band · top ~21.8% of ranked players (population est.)
CSDB Leaderboard#15086 of 26264 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=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 rate41.9%44.1%47.2%5.4% short
Shot accuracy8.1%11.4%12.7%4.7% short
Kill/death ratio0.881.031.090.21 short
Match win rate43.2%45.2%46.6%3.4% 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.GGBmbevilPREMIER16,654 · Purple bandcsdb.gg/stats

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Performance scores

Aim59
Positioning45
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY45478Last 10045%Win rateLWLWLLWWWL

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating

Player DNA

Aim5.9
Aggression5.5
Utility4.0
Positioning4.5
Opening Duels1.9

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 84% playstyle similarity

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

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 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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
Positioning4.5
Utility4.0
Mechanics6.1
Opening Duels2.8
Win Impact3.1

Composite 4.8/10 (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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time576ms−28ms
first ⅓ avg 604ms → last ⅓ avg 576ms
Headshot accuracy16.7%+1.6%
first ⅓ avg 15.0% → last ⅓ avg 16.7%

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

0.12Best rating — dust2 13–8
130Biggest win — dust2
7Longest win streak
74In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 82% over 11nukeWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C25111444%0.00
cacheC145936%-0.03
anubisB115645%0.00
mirageS119282%0.00
infernoA116555%-0.03
ancientA106460%-0.02
nukeD91811%-0.05
officeD61517%-0.01
overpass21150%-0.05
train1010%-0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,662Lifetime kills
0.88K/D
1,809Matches
43.2%Match win rate
41.9%Headshot %
8.1%Shot accuracy
2,822MVPs
677Hours (in match)
1,787Bombs planted
319Bombs defused

Most-used weapons

Lifetime map wins

4,749dust2
1,671inferno
1,562nuke
519train
483vertigo
353office
100cbble
25lake

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.

17.2%Headshot accuracy
29.1%Accuracy (enemy spotted)
32.1%Spray accuracy
77.3%Counter-strafing
8.9°Preaim
576msReaction time
23.3%T opening success
52.2%CT opening success
0.73Enemies flashed / flash
4.8%Flash assists
8.35HE damage / grenade
2.85Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.8489 — below the 4 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 23.289% — below the 40% mark we flag

Spend your practice time on Nuke

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke10–13-0.0321%26 Aug
anubis13–70.0219%26 Aug
cache5–13-0.0913%26 Aug
dust213–00.0917%25 Aug
dust211–13-0.0219%25 Aug
cache12–16-0.0413%21 Aug
cache13–90.0215%16 Aug
mirage13–100.0413%15 Aug
dust213–110.0216%15 Aug
inferno3–130.0025%15 Aug
dust215–150.0121%15 Aug
anubis7–13-0.0332%15 Aug
anubis13–10-0.0313%14 Aug
cache8–13-0.038%14 Aug
cache11–13-0.0222%8 Aug
inferno1–13-0.0922%8 Aug
office13–7-0.060%8 Aug
dust212–12-0.0217%5 Aug
nuke6–13-0.0624%5 Aug
nuke10–13-0.0322%24 Jul
cache8–0-0.000%24 Jul
dust27–13-0.0521%24 Jul
anubis8–130.0117%24 Jul
mirage13–6-0.0030%24 Jul
inferno16–13-0.0122%23 Jul
nuke7–13-0.0721%23 Jul
nuke9–13-0.0810%22 Jul
anubis13–90.0410%22 Jul
dust215–15-0.059%21 Jul
mirage13–90.0122%20 Jul
mirage13–50.0220%20 Jul
ancient7–13-0.0914%20 Jul
anubis2–13-0.054%20 Jul
dust24–13-0.0425%20 Jul
ancient13–8-0.0511%19 Jul
cache2–13-0.1031%19 Jul
inferno13–80.0314%19 Jul
inferno8–13-0.0819%17 Jul
cache9–13-0.036%17 Jul
nuke12–12-0.008%17 Jul
office12–120.0226%17 Jul
inferno13–7-0.0020%16 Jul
dust213–9-0.0226%16 Jul
dust213–100.0417%15 Jul
dust213–110.0423%15 Jul
inferno13–100.0320%15 Jul
ancient16–14-0.0115%13 Jul
mirage13–11-0.017%13 Jul
cache11–130.029%11 Jul
nuke4–13-0.0514%11 Jul
cache9–130.009%10 Jul
overpass9–13-0.0617%8 Jul
mirage13–4-0.0311%8 Jul
dust216–14-0.0014%4 Jul
overpass13–11-0.054%4 Jul
anubis13–9-0.0415%4 Jul
ancient13–10-0.0218%3 Jul
dust213–7-0.0335%3 Jul
cache13–8-0.1014%3 Jul
inferno7–13-0.0220%27 Jun
nuke13–10-0.0713%27 Jun
mirage13–70.0534%26 Jun
dust29–13-0.0212%26 Jun
mirage13–7-0.0321%26 Jun
ancient13–80.0515%18 Jun
dust28–130.0118%18 Jun
inferno13–8-0.0214%17 Jun
ancient7–13-0.0516%17 Jun
dust21–7-0.040%11 Jun
office8–130.0525%11 Jun
ancient13–11-0.0216%8 Jun
inferno13–10-0.0511%8 Jun
mirage13–80.0117%7 Jun
office10–130.0319%7 Jun
mirage6–130.0424%7 Jun
ancient13–10.0818%5 Jun
dust213–100.0516%5 Jun
office4–13-0.0116%5 Jun
train7–13-0.0917%5 Jun
mirage12–12-0.058%5 Jun
dust213–7-0.0123%5 Jun
dust213–80.0129%4 Jun
anubis4–13-0.0217%4 Jun
dust20–13-0.047%4 Jun
dust27–130.0432%4 Jun
dust29–130.0414%2 Jun
ancient10–13-0.0223%2 Jun
cache13–40.049%28 May
anubis9–130.106%28 May
anubis13–40.0419%28 May
dust24–13-0.0711%27 May
ancient12–12-0.054%26 May
office7–13-0.0714%26 May
dust213–80.1224%24 May
dust212–12-0.068%24 May
anubis11–13-0.0013%8 May
inferno2–13-0.080%7 May
nuke0–13-0.0118%7 May
cache13–8-0.0312%7 May
cache7–13-0.0211%7 May

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 →