mr headshots

mr headshots — CS2 Stats

76561198155106329[U:1:194840601]Steam profile ↗✓ No bans

1,799Tracked matches56%Win rate2020Tracked since
5,360Hours in CS24Hrs last 2 wks
CSDB Rating5.7 SolidHybrid Rifler
FaceitLevel 9 · 2,083 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 medianvs Level 10
Headshot rate46.3%52.8%6.5% short
Shot accuracy14.2%13.7%above
Kill/death ratio0.751.080.33 short
Match win rate43.1%49.2%6.1% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmr headshotsFACEITLevel 9 · 2,083 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning56
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY45505Last 10045%Win rateLWLWWLLLWW

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

Player DNA

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

Aim6.6
Aggression9.1
Utility5.4
Positioning5.6
Opening Duels3.7
Clutch2.2

Strong CT-side opener

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

jL

Plays most like jL 89% playstyle similarity

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

Where you differ: 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 54% on CT to 36% 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

Aim6.6
Positioning5.6
Utility5.4
Mechanics4.6
Opening Duels3.7
Win Impact6.9

Composite 5.7/10 (Solid), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time617ms−5ms
first ⅓ avg 622ms → last ⅓ avg 617ms
Headshot accuracy25.7%−1.2%
first ⅓ avg 26.9% → last ⅓ avg 25.7%

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

0.14Best rating — train 13–9
130Biggest win — dust2
8Longest win streak
78In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 60% over 20infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageA2012860%0.01
nukeC1981142%0.01
ancientB179853%0.00
infernoD102820%-0.01
overpassC104640%0.01
dust2C94544%0.01
trainB63350%0.02
cacheC52340%0.01
anubis2020%0.01
vertigo110100%-0.01
grail1010%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

185,573Lifetime kills
0.75K/D
5,895Matches
43.1%Match win rate
46.3%Headshot % · Top 50% of tracked players
14.2%Shot accuracy · Top 50% of tracked players
13,936MVPs
4,489Hours (in match)
4,764Bombs planted
1,226Bombs defused

Most-used weapons

AK-4775,895
AWP23,107
Knife3,335
P2502,719
FAMAS1,933

Lifetime map wins

6,840inferno
5,336nuke
3,380dust2
2,342train
1,885cbble
1,138vertigo
55office
44lake

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

Faceit stats

Combat

2,337Matches
51%Win rate
1.00Avg K/D
76.4ADR
49%Headshot %

Clutches & streaks

31%1v1 clutch win
19%1v2 clutch win
18Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage30649%0.9915.5
Ancient20552%1.0014.9
Nuke12552%0.9815.6
Anubis6045%0.9214.7
Inferno5847%0.9415.6
Overpass4457%1.1117.6
Vertigo3148%1.0517.0
Dust22941%0.8812.8

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.

24.8%Headshot accuracy
33.6%Accuracy (enemy spotted)
37.1%Spray accuracy
70.6%Counter-strafing
10.2°Preaim
620msReaction time
35.6%T opening success
54.2%CT opening success
0.61Enemies flashed / flash
4.9%Flash assists
7.49HE damage / grenade
10.03Flashes / 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 35.5878% — 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 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0016%25 Aug
inferno13–10-0.0521%22 Aug
inferno5–9-0.0357%12 Aug
ancient13–80.0821%9 Aug
mirage13–8-0.0026%8 Aug
ancient1–6-0.0029%6 Aug
cache8–13-0.0434%5 Aug
ancient14–16-0.0527%5 Aug
nuke13–10-0.0122%5 Aug
ancient13–110.0629%5 Aug
mirage13–70.0726%2 Aug
ancient13–70.0438%2 Aug
cache13–110.0332%2 Aug
cache13–100.0730%2 Aug
mirage13–40.0224%2 Aug
mirage13–80.0026%10 Jul
nuke3–130.1233%10 Jul
nuke12–12-0.0029%10 Jul
ancient6–13-0.0217%6 Jul
nuke4–13-0.0420%6 Jul
mirage11–13-0.0122%6 Jul
overpass6–13-0.0223%6 Jul
mirage13–10-0.0216%1 Jun
cache7–13-0.0412%31 May
cache12–120.0222%31 May
inferno11–13-0.0643%31 May
nuke3–130.0224%14 Mar
mirage13–11-0.0222%10 Jan
ancient13–70.0929%6 Jan
overpass15–150.0319%5 Jan
nuke13–10-0.0116%28 Dec
mirage8–130.0322%22 Dec
nuke4–13-0.0220%18 Dec
overpass13–80.0924%14 Dec
overpass11–13-0.0135%13 Dec
ancient5–13-0.0223%10 Dec
mirage5–13-0.0424%10 Dec
mirage13–80.0230%3 Dec
nuke13–90.0928%29 Nov
nuke5–13-0.0318%19 Nov
inferno13–16-0.0421%5 Nov
dust24–130.0318%2 Nov
dust213–110.1239%29 Oct
nuke13–100.0235%16 Oct
dust213–50.0029%13 Oct
ancient13–60.0736%12 Oct
mirage12–120.0927%12 Oct
train2–13-0.0732%11 Oct
mirage13–110.0124%11 Oct
dust213–4-0.0722%6 Oct
train13–90.1420%6 Oct
dust24–130.0937%6 Oct
overpass8–130.0017%6 Oct
overpass13–100.0122%5 Oct
mirage13–80.1122%16 Sept
inferno5–13-0.0421%16 Sept
ancient7–13-0.0420%12 Sept
nuke13–90.0236%12 Sept
inferno12–16-0.0320%11 Sept
mirage10–13-0.0421%27 Aug
nuke11–130.0326%16 Aug
ancient10–13-0.0517%16 Aug
mirage13–6-0.0443%10 Aug
dust210–13-0.0122%3 Aug
mirage13–90.0124%3 Aug
mirage7–130.0024%2 Aug
train15–15-0.0138%2 Aug
overpass10–13-0.0316%2 Aug
ancient13–3-0.0412%2 Aug
nuke7–130.1032%31 Jul
nuke13–5-0.0134%30 Jul
overpass13–80.0229%30 Jul
nuke13–110.0739%30 Jul
train13–30.0925%30 Jul
ancient13–10-0.0333%29 Jul
dust211–130.0035%28 Jul
vertigo13–8-0.0138%28 Jul
nuke13–80.0246%27 Jul
overpass0–13-0.0715%27 Jul
inferno3–130.0226%27 Jul
nuke6–13-0.0526%23 Jul
nuke5–130.0238%22 Jul
grail8–130.0138%7 Jul
inferno2–110.0833%7 Jul
mirage8–13-0.0131%7 Jul
overpass13–60.0618%5 Jul
train1–13-0.058%5 Jul
mirage16–13-0.0027%5 Jul
anubis5–120.0321%30 Jun
ancient7–13-0.0518%29 Jun
ancient13–90.0826%29 Jun
ancient9–13-0.0529%24 Jun
anubis17–19-0.0223%22 Jun
ancient13–11-0.0415%7 Jun
nuke14–16-0.0529%3 Jun
dust213–0-0.0227%1 Jun
dust24–13-0.0413%1 Jun
mirage8–13-0.0424%1 Jun
inferno13–40.0235%1 Jun
train13–9-0.0129%31 May

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →