GotDangitBobby

GotDangitBobby — CS2 Stats

US76561198021881602[U:1:61615874]Steam profile ↗✓ No bans

452Tracked matches38%Win rate2026Tracked since
CSDB Rating3.1 Learning
Ladder ranks via Leetify

Performance scores

Aim39
Positioning36
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY42508Last 10042%Win rateLLWWLWWLLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Aim3.9
Aggression3.7
Utility4.3
Positioning3.6
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 74% playstyle similarity

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

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

Reaction time. 662ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.9
Positioning3.6
Utility4.3
Mechanics3.1
Opening Duels0.3
Win Impact1.0

Composite 3.1/10 (Learning), 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 time663ms−61ms
first ⅓ avg 724ms → last ⅓ avg 663ms
Headshot accuracy6.0%−2.5%
first ⅓ avg 8.5% → last ⅓ avg 6.0%

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

0.20Best rating — nuke 4–0
130Biggest win — office
6Longest win streak
L2Current streak
86In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 61% over 18trainWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
officeA2011955%-0.02
nukeA1811761%0.01
cacheC156940%-0.02
infernoB157847%0.00
trainD102820%-0.01
ancientD72529%0.01
dust2D62433%-0.00
italy3030%-0.02
anubis2020%-0.01
mirage2020%0.04
vertigo21150%-0.04

Across the last 100 tracked matches.

Skill profile

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

6.0%Headshot accuracy
38.2%Accuracy (enemy spotted)
39.6%Spray accuracy
63.8%Counter-strafing
10.5°Preaim
662msReaction time
22.4%T opening success
32.5%CT opening success
0.41Enemies flashed / flash
2.2%Flash assists
14.67HE damage / grenade
5.30Flashes / 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 5.9871% — 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 0.4064 — 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 22.3852% — below the 40% mark we flag

Spend your practice time on Train

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.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
italy4–13-0.069%29 Aug
ancient4–130.025%29 Aug
cache13–110.064%29 Aug
nuke13–70.078%29 Aug
office8–13-0.036%24 Aug
nuke13–3-0.033%24 Aug
nuke13–40.169%24 Aug
office7–13-0.102%24 Aug
nuke11–13-0.047%23 Aug
train13–1-0.013%23 Aug
ancient7–130.032%23 Aug
office10–13-0.132%23 Aug
inferno13–30.044%23 Aug
ancient5–130.002%23 Aug
cache6–13-0.103%23 Aug
italy5–13-0.0110%23 Aug
office12–12-0.029%22 Aug
inferno7–0-0.046%22 Aug
ancient13–11-0.007%22 Aug
dust213–40.0611%22 Aug
dust20–13-0.049%22 Aug
dust26–13-0.0112%21 Aug
anubis6–13-0.046%21 Aug
train8–13-0.0710%21 Aug
train10–13-0.084%21 Aug
nuke13–60.063%20 Aug
nuke1–7-0.086%20 Aug
office5–13-0.064%16 Aug
inferno4–13-0.050%16 Aug
dust213–50.0517%16 Aug
cache2–9-0.034%16 Aug
train9–130.037%16 Aug
nuke11–13-0.067%16 Aug
mirage6–13-0.034%16 Aug
cache6–13-0.049%15 Aug
office2–12-0.035%14 Aug
nuke7–13-0.106%14 Aug
inferno13–20.0312%14 Aug
train13–110.0314%14 Aug
ancient7–13-0.079%13 Aug
nuke6–13-0.0312%13 Aug
nuke13–20.0210%12 Aug
nuke12–120.048%12 Aug
cache10–13-0.0715%10 Aug
train9–13-0.015%10 Aug
office10–5-0.024%9 Aug
italy3–130.006%9 Aug
inferno5–13-0.018%9 Aug
nuke13–70.039%9 Aug
train7–130.014%9 Aug
office13–6-0.057%9 Aug
cache5–13-0.027%8 Aug
inferno6–13-0.055%8 Aug
inferno10–20.033%8 Aug
train7–13-0.0412%8 Aug
mirage7–130.1011%8 Aug
office13–30.086%8 Aug
nuke2–13-0.032%8 Aug
office13–00.0315%7 Aug
train12–120.0411%7 Aug
cache12–12-0.0218%2 Aug
dust211–13-0.0110%2 Aug
office6–130.029%2 Aug
inferno13–40.048%2 Aug
office13–10-0.037%1 Aug
nuke13–110.016%1 Aug
train12–120.0111%1 Aug
anubis12–120.037%1 Aug
vertigo7–13-0.137%1 Aug
cache10–13-0.055%1 Aug
ancient6–13-0.0010%1 Aug
inferno9–13-0.0314%30 Jul
office5–13-0.052%30 Jul
vertigo13–100.057%30 Jul
cache11–130.038%29 Jul
office13–90.0812%29 Jul
ancient13–100.108%29 Jul
cache4–13-0.095%28 Jul
nuke13–6-0.028%28 Jul
office13–110.0313%28 Jul
office13–11-0.1012%23 Jul
inferno7–13-0.017%23 Jul
cache13–100.0613%23 Jul
office13–5-0.042%22 Jul
inferno11–13-0.017%21 Jul
inferno11–13-0.115%21 Jul
nuke4–00.2018%21 Jul
cache13–6-0.095%19 Jul
office13–70.0811%19 Jul
inferno10–30.042%19 Jul
cache13–4-0.047%19 Jul
nuke3–2-0.0425%19 Jul
dust212–12-0.079%18 Jul
inferno12–120.0213%18 Jul
nuke13–6-0.028%18 Jul
cache13–80.029%18 Jul
inferno13–80.128%18 Jul
cache13–110.049%18 Jul
office6–13-0.022%18 Jul
office13–10.013%18 Jul

Match data via Leetify.

Milestones

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