Man in the Chest — CS2 Stats

76561198809497971[U:1:849232243]✓ No bans

383Tracked matches60%Win rate2024Tracked since
590Hours in CS5Hrs last 2 wks
CSDB Rating4.1 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate35.6%42.2%42.7%7.1% short
Shot accuracy0.0%11.9%10.8%10.8% short
Kill/death ratio0.620.981.000.38 short
Match win rate32.8%43.6%44.1%11.3% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMan in the ChestFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim37
Positioning38
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY58339Last 10058%Win rateWWWLTLWLTW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim3.7
Aggression3.5
Utility3.0
Positioning3.8
Opening Duels0.1
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 68% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Reaction time. 678ms 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

Aim3.7
Positioning3.8
Utility3.0
Mechanics6.0
Opening Duels0.7
Win Impact8.3

Composite 4.1/10 (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-0.03−0.04
first ⅓ avg 0.00 → last ⅓ avg -0.03
Reaction time665ms−48ms
first ⅓ avg 713ms → last ⅓ avg 665ms
Headshot accuracy13.3%−4.0%
first ⅓ avg 17.3% → last ⅓ avg 13.3%

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

0.17Best rating — office 4–1
130Biggest win — dust2
8Longest win streak
W3Current streak
73In matches decided by ≤2 rounds
4Overtime games

Map breakdown

officeBest map · 100% over 6nukeWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
cacheS2316770%-0.01
mirageC146843%-0.01
ancientA148657%-0.02
dust2S129375%-0.03
nukeC114736%-0.01
anubisS75271%-0.05
officeS660100%0.07
inferno41325%-0.05
shelter31233%-0.07
boulder1010%-0.06
fachwerk1010%-0.06
vertigo110100%-0.01
train110100%-0.00
alpine1010%-0.06
overpass1010%-0.05

Across the last 100 tracked matches.

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

Lifetime stats

7,970Lifetime kills
0.62K/D
673Matches
32.8%Match win rate
35.6%Headshot %
0.0%Shot accuracy
659MVPs
228Hours (in match)
576Bombs planted
104Bombs defused

Most-used weapons

Lifetime map wins

965dust2
719nuke
366inferno
288vertigo
181train
148office
19italy
1ar_shoots

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

Faceit stats

Combat

12Matches
42%Win rate
0.79Avg K/D
72.4ADR
34%Headshot %

Clutches & streaks

33%1v1 clutch win
25%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke333%0.9214.0
Anubis3100%0.9411.7
Mirage250%0.8715.5
Dust220%0.7514.5
Inferno10%0.274.0
Ancient10%0.335.0

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.

12.1%Headshot accuracy
30.5%Accuracy (enemy spotted)
35.2%Spray accuracy
77.1%Counter-strafing
11.8°Preaim
678msReaction time
25.1%T opening success
35.6%CT opening success
0.42Enemies flashed / flash
3.1%Flash assists
5.98HE damage / grenade
5.02Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.0717% — below the 15% mark we flag

    Aim Training
  2. 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 0.423 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 25.1151% — 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.

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

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–9-0.0111%28 Aug
cache13–110.008%28 Aug
cache13–80.0212%19 Aug
cache7–13-0.0717%19 Aug
cache12–12-0.0417%19 Aug
cache3–13-0.0624%19 Aug
cache13–8-0.007%19 Aug
nuke2–9-0.0614%14 Aug
dust212–12-0.049%11 Aug
nuke16–13-0.078%11 Aug
mirage13–9-0.047%8 Aug
ancient2–13-0.068%6 Aug
anubis13–4-0.024%5 Aug
cache13–100.0516%3 Aug
shelter6–7-0.0710%25 Jul
shelter13–10-0.067%23 Jul
anubis4–13-0.099%22 Jul
boulder3–13-0.065%22 Jul
fachwerk4–13-0.069%22 Jul
cache13–60.006%22 Jul
dust213–7-0.058%19 Jul
inferno15–15-0.026%18 Jul
cache13–20.0313%17 Jul
cache13–9-0.049%17 Jul
ancient12–120.018%16 Jul
dust213–00.01100%16 Jul
mirage4–13-0.0712%15 Jul
cache13–2-0.0414%15 Jul
mirage15–15-0.047%10 Jul
dust25–13-0.0615%9 Jul
shelter8–13-0.0810%9 Jul
dust213–8-0.0417%22 Jun
ancient13–5-0.0112%22 Jun
cache13–00.0916%22 Jun
cache13–9-0.0215%6 Jun
vertigo13–11-0.0113%3 Jun
cache13–80.059%28 May
cache13–70.026%18 May
cache13–40.039%18 May
cache9–13-0.0212%9 May
cache12–12-0.058%9 May
cache13–5-0.074%3 May
cache4–13-0.0116%30 Apr
cache4–13-0.0518%29 Apr
cache13–8-0.0112%29 Apr
train13–11-0.0016%26 Apr
alpine10–13-0.063%26 Apr
ancient6–13-0.086%21 Apr
mirage6–13-0.045%20 Apr
overpass10–13-0.057%20 Apr
mirage6–13-0.085%20 Apr
ancient13–50.0313%20 Apr
ancient13–2-0.0617%19 Apr
nuke12–12-0.0311%13 Apr
ancient8–13-0.048%13 Apr
office11–11-0.027%9 Apr
office13–20.0312%9 Apr
anubis2–0-0.100%9 Apr
anubis8–13-0.017%1 Apr
anubis13–50.0210%31 Mar
ancient5–13-0.036%27 Mar
nuke13–60.0510%27 Mar
inferno5–9-0.087%22 Mar
inferno8–80.059%22 Mar
anubis13–6-0.0516%18 Mar
mirage13–50.068%16 Mar
dust213–50.0119%14 Mar
nuke11–13-0.047%14 Mar
ancient13–10.0520%13 Mar
ancient12–12-0.0512%28 Feb
mirage13–20.058%2 Dec
dust213–7-0.0311%18 Nov
dust216–140.0414%12 Nov
mirage13–40.1216%12 Nov
nuke13–30.042%12 Nov
ancient13–3-0.084%12 Nov
mirage13–40.0618%10 Nov
nuke10–13-0.0113%10 Nov
nuke10–13-0.0717%5 Nov
mirage9–13-0.077%4 Nov
ancient13–4-0.0011%4 Nov
ancient13–50.0214%3 Nov
dust213–10-0.0317%3 Nov
ancient13–30.014%3 Nov
nuke8–13-0.0212%3 Nov
office4–10.1736%2 Nov
inferno9–4-0.1530%2 Nov
office13–20.0015%1 Nov
office13–00.1385%31 Oct
office13–00.09100%31 Oct
mirage3–11-0.035%31 Oct
anubis13–11-0.109%31 Oct
mirage13–10-0.044%30 Oct
nuke5–130.1213%30 Oct
dust25–13-0.090%29 Oct
mirage11–13-0.042%29 Oct
dust213–90.0015%29 Oct
nuke13–10-0.0216%26 Oct
mirage8–130.0212%25 Oct
dust213–6-0.0421%24 Oct

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →