BOB

BOB — CS2 Stats

76561199150868607[U:1:1190602879]Steam profile ↗✓ No bans

63Tracked matches55%Win rate2026Tracked since
CSDB Rating4.0 Developing
Ladder ranks via Leetify

Performance scores

Aim33
Positioning33
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY25325Last 6240%Win rateWWLWLWWWLL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Aim3.3
Aggression3.2
Utility5.3
Positioning3.3
Opening Duels0.0

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 73% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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 37% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 694ms 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

Aim3.3
Positioning3.3
Utility5.3
Mechanics5.1
Opening Duels0.9
Win Impact6.7

Composite 4.0/10 (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-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time675ms−79ms
first ⅓ avg 753ms → last ⅓ avg 675ms
Headshot accuracy12.0%−3.3%
first ⅓ avg 15.3% → last ⅓ avg 12.0%

Rolling 5-match average across the last 62 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.20Best rating — vertigo 13–5
130Biggest win — train
4Longest win streak
W2Current streak
43In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 44% over 25vertigoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC25111444%-0.02
dust2D1851328%-0.03
vertigoD61517%0.01
anubis43175%-0.00
nuke31233%-0.03
train32167%0.02
ancient110100%-0.07
italy1010%0.07
cache110100%-0.02

Across the last 62 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.8%Headshot accuracy
30.0%Accuracy (enemy spotted)
32.7%Spray accuracy
72.8%Counter-strafing
10.5°Preaim
694msReaction time
20.3%T opening success
37.2%CT opening success
0.54Enemies flashed / flash
5.9%Flash assists
7.00HE damage / grenade
7.83Flashes / 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 11.7605% — below the 15% mark we flag

    Aim Training
  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 20.318% — below the 40% mark we flag

Spend your practice time on Vertigo

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.075%28 Aug
dust213–11-0.0210%28 Aug
dust21–13-0.066%28 Aug
nuke13–5-0.003%17 Aug
dust213–16-0.084%17 Aug
mirage13–3-0.0910%16 Aug
train13–0-0.0118%16 Aug
train5–00.0413%16 Aug
dust23–13-0.076%16 Aug
italy10–130.0715%10 Aug
mirage1–13-0.0813%9 Aug
mirage2–13-0.1013%9 Aug
nuke3–13-0.0811%8 Aug
mirage6–13-0.0636%8 Aug
dust25–13-0.089%8 Aug
mirage13–5-0.0415%8 Aug
mirage13–4-0.067%8 Aug
anubis13–9-0.0414%7 Aug
nuke4–130.0022%7 Aug
dust213–100.0112%7 Aug
vertigo2–13-0.0518%7 Aug
vertigo10–130.0410%7 Aug
mirage13–20.039%6 Aug
mirage13–100.0916%6 Aug
anubis13–40.027%6 Aug
cache13–11-0.028%6 Aug
train12–120.0222%6 Aug
dust213–6-0.039%6 Aug
mirage8–13-0.0410%5 Aug
anubis13–110.009%4 Aug
mirage13–4-0.0415%4 Aug
mirage9–40.068%4 Aug
dust28–130.0024%4 Aug
dust213–90.0410%3 Aug
mirage4–13-0.058%3 Aug
vertigo4–13-0.0216%3 Aug
mirage13–10-0.0015%3 Aug
vertigo13–50.2010%3 Aug
vertigo12–12-0.047%3 Aug
mirage11–13-0.0212%3 Aug
mirage5–130.0416%3 Aug
dust29–13-0.0526%2 Aug
vertigo2–13-0.0610%2 Aug
mirage11–13-0.033%2 Aug
mirage12–120.138%2 Aug
mirage13–30.0613%2 Aug
mirage7–13-0.0619%1 Aug
dust212–12-0.0814%1 Aug
dust23–13-0.0522%1 Aug
mirage13–6-0.079%31 Jul
dust28–13-0.0023%31 Jul
dust29–130.029%30 Jul
mirage1–13-0.0117%29 Jul
mirage13–100.0222%29 Jul
dust22–13-0.0228%26 Jul
anubis11–130.0016%23 Jul
dust24–130.0513%23 Jul
dust212–12-0.0017%20 Jul
dust213–7-0.125%19 Jul
mirage6–13-0.0721%19 Jul
mirage10–130.0224%19 Jul
mirage10–13-0.0415%17 Jul

Match data via Leetify.

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