Bobby Smithsonian

Bobby Smithsonian — CS2 Stats

KZ76561199184018813[U:1:1223753085]Steam profile ↗

695Tracked matches38%Win rate2022Tracked since
1,235Hours in CS1Hrs last 2 wks
CSDB Rating4.2 Developing
Ladder ranks via Leetify

Performance scores

Aim58
Positioning51
Utility30

0–100 skill scores via Leetify.

Recent form

COLD533710Last 10053%Win rateLLLLLLTLLW

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

Aim5.8
Aggression3.9
Utility3.0
Positioning5.1
Opening Duels0.2

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 79% 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. 586ms 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

Aim5.8
Positioning5.1
Utility3.0
Mechanics5.8
Opening Duels0.4
Win Impact1.0

Composite 4.2/10 (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 time592ms−19ms
first ⅓ avg 611ms → last ⅓ avg 592ms
Headshot accuracy14.2%−1.2%
first ⅓ avg 15.4% → last ⅓ avg 14.2%

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 — anubis 13–1
131Biggest win — anubis
5Longest win streak
L6Current streak
57In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 73% over 11nukeWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
officeS1510567%0.01
mirageB136746%-0.01
vertigoB136746%-0.00
dust2B126650%0.02
cacheA117464%-0.00
infernoS118373%0.00
nukeC104640%-0.02
anubis42250%0.00
overpass43175%0.04
ancient41325%-0.02
shelter1010%-0.15
fachwerk1010%-0.09
train1010%-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,473Lifetime kills
0.90K/D
1,598Matches
44.3%Match win rate
38.3%Headshot %
8.7%Shot accuracy
2,829MVPs
532Hours (in match)
1,413Bombs planted
269Bombs defused

Most-used weapons

Lifetime map wins

2,213dust2
1,520nuke
1,344inferno
1,112office
635vertigo
249train
16italy
10cbble

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.

14.3%Headshot accuracy
35.7%Accuracy (enemy spotted)
37.5%Spray accuracy
76.3%Counter-strafing
11.9°Preaim
586msReaction time
33.4%T opening success
28.2%CT opening success
0.38Enemies flashed / flash
1.8%Flash assists
7.15HE damage / grenade
3.68Flashes / 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 14.2655% — 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 0.3791 — 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 33.4412% — 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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
office6–13-0.0116%26 Aug
dust26–13-0.0426%26 Aug
shelter6–11-0.159%13 Jul
fachwerk2–13-0.0917%13 Jul
office11–13-0.029%11 Jul
cache6–13-0.0815%9 Jul
dust212–12-0.0318%9 Jul
mirage9–130.0018%1 Jul
office11–13-0.0317%22 Jun
vertigo13–50.0314%22 Jun
train0–13-0.0718%18 Jun
vertigo13–2-0.0115%18 Jun
vertigo13–100.019%17 Jun
vertigo2–13-0.0914%17 Jun
vertigo13–80.019%16 Jun
vertigo6–130.0515%14 Jun
nuke6–130.017%12 Jun
cache13–3-0.029%12 Jun
vertigo1–13-0.0916%12 Jun
cache13–90.0717%12 Jun
vertigo11–13-0.0213%12 Jun
vertigo13–60.0711%12 Jun
vertigo7–13-0.1310%8 Jun
office13–80.0413%8 Jun
vertigo5–130.0211%8 Jun
vertigo11–13-0.0115%7 Jun
nuke13–4-0.048%5 Jun
cache9–13-0.0517%19 May
cache13–40.0024%11 May
cache13–8-0.0314%11 May
cache13–4-0.0214%11 May
cache13–80.0614%10 May
cache12–120.0515%10 May
cache10–13-0.0110%7 May
cache13–100.0116%6 May
office13–100.0619%30 Apr
mirage12–120.0114%4 Apr
anubis13–10.1710%4 Apr
nuke15–15-0.0814%29 Mar
nuke5–13-0.0523%27 Mar
mirage13–110.0410%26 Mar
dust213–20.149%26 Mar
inferno13–16-0.0415%22 Mar
overpass13–50.058%7 Mar
anubis0–13-0.0816%3 Mar
mirage13–100.0118%2 Mar
dust213–60.0822%2 Mar
office12–12-0.0128%1 Mar
office13–50.0622%1 Mar
office13–80.039%1 Mar
office12–120.0420%28 Feb
office13–100.0216%28 Feb
office13–7-0.0314%28 Feb
dust28–13-0.0719%24 Feb
office13–5-0.0613%24 Feb
office13–9-0.0217%23 Feb
ancient11–13-0.0314%23 Feb
overpass13–30.0915%22 Feb
mirage13–9-0.029%22 Feb
nuke13–11-0.0011%22 Feb
office13–100.0522%22 Feb
inferno13–40.0311%22 Feb
ancient4–13-0.0313%22 Feb
mirage12–16-0.0912%21 Feb
mirage15–150.0616%20 Feb
inferno13–6-0.0317%20 Feb
dust213–50.0717%20 Feb
anubis10–13-0.079%19 Feb
mirage4–13-0.0326%19 Feb
overpass13–60.0613%19 Feb
vertigo13–60.1017%17 Feb
inferno13–90.0411%17 Feb
inferno10–130.0513%16 Feb
inferno13–11-0.0118%16 Feb
inferno15–150.0219%16 Feb
dust213–40.0917%16 Feb
nuke13–60.0414%16 Feb
ancient10–13-0.0114%16 Feb
mirage13–8-0.0217%16 Feb
mirage13–3-0.0311%16 Feb
inferno13–11-0.0518%16 Feb
mirage11–13-0.0514%15 Feb
dust211–13-0.0313%15 Feb
ancient13–70.0014%15 Feb
office13–90.0512%15 Feb
mirage15–15-0.0016%13 Feb
nuke9–130.0716%13 Feb
dust25–130.0031%13 Feb
dust215–150.0234%13 Feb
mirage13–11-0.0415%13 Feb
anubis13–4-0.0110%13 Feb
dust213–8-0.0420%13 Feb
overpass10–13-0.0323%13 Feb
nuke8–13-0.0715%12 Feb
inferno13–90.0110%12 Feb
nuke13–16-0.069%10 Feb
inferno13–90.0410%10 Feb
nuke13–7-0.0113%10 Feb
inferno13–8-0.028%10 Feb
dust213–60.079%5 Feb

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 →