Menace — CS2 Stats

76561198403007723[U:1:442741995]

1,227Tracked matches29%Win rate2020Tracked since
808Hours in CS
CSDB Rating4.9 DevelopingPassive Rifler
Premier CS Rating18,151Purple band · top ~15.9% of ranked players (population est.)
CSDB Leaderboard#11234 of 21374 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMenaceFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER18,151 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning50
Utility54

0–100 skill scores via Leetify.

Recent form

COLD54415Last 10054%Win rateLWLTLLLLLW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

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

Aim6.9
Aggression3.8
Utility5.4
Positioning5.0
Opening Duels0.3
Clutch2.8

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 86% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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. 599ms 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

Aim6.9
Positioning5.0
Utility5.4
Mechanics6.3
Opening Duels0.8
Win Impact0.0

Composite 4.9/10 (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-0.01−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.01
Reaction time600ms−26ms
first ⅓ avg 626ms → last ⅓ avg 600ms
Headshot accuracy20.4%−0.4%
first ⅓ avg 20.8% → last ⅓ avg 20.4%

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

0.22Best rating — train 13–5
130Biggest win — inferno
9Longest win streak
38In matches decided by ≤2 rounds
5Overtime games

Map breakdown

vertigoBest map · 100% over 6infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B24121250%0.01
mirageA2011955%0.01
infernoC114736%0.01
cacheA106460%-0.02
nukeB105550%0.02
ancientA85363%0.04
anubisC73443%0.03
vertigoS660100%0.03
train32167%0.05
overpass1010%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,090Lifetime kills
1.20K/D · Top 25% of tracked players
1,917Matches
51.9%Match win rate · Top 25% of tracked players
43.5%Headshot %
15.3%Shot accuracy · Top 50% of tracked players
4,936MVPs
808Hours (in match)
1,595Bombs planted
501Bombs defused

Most-used weapons

Lifetime map wins

2,529dust2
1,243inferno
696nuke
387train
148vertigo
22cbble
16office
2ar_baggage

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

Faceit stats

Combat

149Matches
52%Win rate
1.26Avg K/D
85.3ADR
47%Headshot %

Clutches & streaks

34%1v1 clutch win
29%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5246%1.2316.6
Dust24252%1.2617.5
Ancient1638%1.3820.3
Inferno1662%1.2316.9
Cache978%1.1715.9
Nuke20%0.5811.0
Overpass1100%1.2515.0
Vertigo1100%1.3117.0

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.

19.3%Headshot accuracy
35.6%Accuracy (enemy spotted)
38.7%Spray accuracy
78.3%Counter-strafing
10.8°Preaim
599msReaction time
26.2%T opening success
36.3%CT opening success
0.56Enemies flashed / flash
5.8%Flash assists
6.90HE damage / grenade
13.36Flashes / 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 26.1751% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno6–130.0430%28 Aug
cache13–6-0.0018%28 Aug
mirage7–13-0.1028%28 Aug
inferno12–12-0.0518%27 Aug
nuke10–130.0117%27 Aug
ancient11–130.0112%27 Aug
anubis6–13-0.0412%27 Aug
mirage4–13-0.0223%27 Aug
dust26–13-0.019%26 Aug
mirage13–100.0715%26 Aug
nuke13–110.029%26 Aug
dust27–13-0.0314%26 Aug
nuke11–13-0.0021%26 Aug
mirage8–13-0.0119%25 Aug
ancient15–150.0319%25 Aug
inferno9–13-0.0216%25 Aug
vertigo4–0-0.0340%25 Aug
dust211–130.0710%25 Aug
dust21–13-0.0421%25 Aug
mirage0–13-0.1026%25 Aug
dust213–30.0138%25 Aug
cache7–13-0.0330%25 Aug
dust210–13-0.0815%24 Aug
nuke11–4-0.0026%24 Aug
cache10–13-0.0425%24 Aug
ancient13–50.0721%24 Aug
nuke0–11-0.0811%24 Aug
mirage10–13-0.0326%24 Aug
dust213–90.0213%24 Aug
overpass7–130.0526%23 Aug
cache8–130.0119%23 Aug
dust25–13-0.0424%23 Aug
inferno10–30.0724%23 Aug
mirage13–11-0.0119%23 Aug
cache3–13-0.1129%23 Aug
dust213–60.0732%23 Aug
ancient13–70.0617%22 Aug
train13–50.2226%22 Aug
vertigo13–3-0.0026%22 Aug
anubis11–130.0914%21 Aug
mirage8–130.0217%21 Aug
dust28–3-0.0432%21 Aug
vertigo13–30.0418%20 Aug
dust213–100.0316%20 Aug
mirage5–10.1218%20 Aug
dust210–130.0224%20 Aug
mirage12–12-0.0324%20 Aug
dust213–100.0024%20 Aug
dust213–50.0524%20 Aug
dust213–40.0312%19 Aug
inferno11–13-0.0615%19 Aug
anubis5–130.0311%19 Aug
dust213–80.0228%19 Aug
inferno13–60.0125%19 Aug
dust213–60.0720%19 Aug
dust25–13-0.0719%18 Aug
ancient13–60.0517%18 Aug
cache16–12-0.0321%17 Aug
cache16–120.0521%16 Aug
mirage13–10-0.0123%16 Aug
inferno13–8-0.0115%16 Aug
dust231–270.0415%16 Aug
vertigo13–90.0015%15 Aug
anubis13–40.1018%15 Aug
train13–90.0222%15 Aug
anubis4–13-0.0317%15 Aug
nuke13–50.0929%15 Aug
mirage13–100.1234%15 Aug
ancient13–9-0.0413%15 Aug
nuke13–40.0717%14 Aug
vertigo13–20.1621%14 Aug
mirage13–70.0533%14 Aug
train2–7-0.0936%14 Aug
ancient13–60.0719%14 Aug
vertigo13–100.0010%13 Aug
inferno11–13-0.0317%13 Aug
cache13–7-0.0421%13 Aug
mirage13–20.0513%13 Aug
dust210–130.0626%13 Aug
mirage13–60.0419%13 Aug
nuke15–150.0714%13 Aug
anubis13–9-0.0023%13 Aug
dust23–13-0.0638%12 Aug
anubis13–10.0827%12 Aug
dust213–30.1530%12 Aug
inferno13–00.1011%12 Aug
ancient9–130.0825%11 Aug
dust211–13-0.039%11 Aug
nuke13–80.1319%11 Aug
cache13–100.0229%10 Aug
inferno12–120.0110%10 Aug
mirage13–30.0621%10 Aug
mirage11–130.0318%9 Aug
dust27–13-0.0113%9 Aug
mirage13–10-0.0321%9 Aug
mirage8–130.0120%9 Aug
nuke6–13-0.1020%8 Aug
mirage13–5-0.0114%7 Aug
cache13–11-0.0012%7 Aug
inferno1–10-0.0036%7 Aug

Match data via Leetify.

Milestones

1,000 Matches
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