BOB — CS2 Stats

76561198147421717[U:1:187155989]

945Tracked matches61%Win rate2020Tracked since
2,526Hours in CS9Hrs last 2 wks
CSDB Rating5.3 DevelopingPassive Rifler
WingmanMaster Guardian II
Ladder ranks via Leetify

Performance scores

Aim67
Positioning37
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY51445Last 10051%Win rateLLLWLWWWLL

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

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

Aim6.7
Aggression2.7
Utility5.6
Positioning3.7
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 80% playstyle similarity

Most alike: utility contribution, 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. 557ms 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

Aim6.7
Positioning3.7
Utility5.6
Mechanics5.5
Opening Duels0.1
Win Impact8.6

Composite 5.3/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time564ms−47ms
first ⅓ avg 611ms → last ⅓ avg 564ms
Headshot accuracy12.7%+1.3%
first ⅓ avg 11.3% → last ⅓ avg 12.7%

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

0.19Best rating — alpine 13–5
130Biggest win — fachwerk
6Longest win streak
L3Current streak
85In matches decided by ≤2 rounds

Map breakdown

fachwerkBest map · 60% over 35anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
fachwerkA35211460%0.00
alpineA23131057%-0.00
italyC83538%0.02
eldoradoA53260%0.02
anubisD51420%-0.00
officeC52340%0.03
cache32167%0.02
vertigo21150%-0.05
debris2020%-0.06
boulder21150%-0.01
shelter21150%-0.01
warden21150%0.01
poseidon1010%-0.22
ancient1010%-0.10
dust2110100%-0.00
nuke110100%-0.03
stronghold1010%-0.04
sanctum1010%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,155Lifetime kills
0.95K/D
3,161Matches
47.9%Match win rate · Top 50% of tracked players
36.4%Headshot %
15.8%Shot accuracy · Top 25% of tracked players
6,038MVPs
1,209Hours (in match)
1,776Bombs planted
620Bombs defused

Most-used weapons

AK-4716,060
AWP3,046
P902,362
P2501,444
FAMAS1,386

Lifetime map wins

3,262dust2
2,761train
2,425inferno
1,665vertigo
1,576nuke
1,561cbble
372office
281italy

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.

14.1%Headshot accuracy
36.4%Accuracy (enemy spotted)
41.9%Spray accuracy
74.9%Counter-strafing
10.8°Preaim
557msReaction time
30.4%T opening success
28.3%CT opening success
0.51Enemies flashed / flash
6.5%Flash assists
5.84HE damage / grenade
12.72Flashes / 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 14.1343% — 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 30.4134% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
fachwerk9–13-0.0311%29 Aug
vertigo6–13-0.078%29 Aug
fachwerk2–13-0.0914%29 Aug
fachwerk13–8-0.0112%27 Aug
debris7–9-0.0217%27 Aug
eldorado9–10.1623%27 Aug
fachwerk13–9-0.0618%26 Aug
fachwerk7–1-0.069%26 Aug
fachwerk0–7-0.090%25 Aug
eldorado4–9-0.119%25 Aug
fachwerk13–30.0316%21 Aug
fachwerk4–20.030%21 Aug
eldorado9–70.039%19 Aug
boulder10–40.038%17 Aug
fachwerk13–40.158%17 Aug
fachwerk13–30.0420%16 Aug
poseidon2–9-0.2227%16 Aug
eldorado9–7-0.006%16 Aug
debris5–9-0.096%16 Aug
eldorado6–90.0216%16 Aug
fachwerk13–10.0712%15 Aug
fachwerk13–80.0117%15 Aug
fachwerk13–10-0.0414%14 Aug
fachwerk12–120.0310%13 Aug
fachwerk9–130.0212%8 Aug
ancient5–13-0.108%7 Aug
anubis4–13-0.0931%27 Jul
cache13–70.0610%26 Jul
dust213–11-0.0016%26 Jul
nuke13–9-0.0310%26 Jul
anubis13–60.0911%26 Jul
fachwerk9–13-0.0013%24 Jul
fachwerk13–50.0218%21 Jul
fachwerk11–13-0.0215%19 Jul
cache5–6-0.0537%19 Jul
fachwerk12–120.0217%19 Jul
fachwerk13–50.1212%19 Jul
office7–130.0226%19 Jul
fachwerk13–8-0.0112%18 Jul
fachwerk13–10-0.044%18 Jul
fachwerk10–13-0.0213%17 Jul
fachwerk13–0-0.0018%17 Jul
fachwerk1–8-0.0118%17 Jul
fachwerk12–12-0.0412%16 Jul
fachwerk13–110.0115%16 Jul
fachwerk13–50.1021%15 Jul
fachwerk13–5-0.0811%15 Jul
italy2–13-0.0521%12 Jul
fachwerk4–13-0.0510%12 Jul
cache13–20.049%12 Jul
fachwerk8–130.0117%12 Jul
fachwerk13–70.0116%12 Jul
fachwerk9–13-0.0212%12 Jul
fachwerk13–3-0.017%10 Jul
shelter5–12-0.0516%10 Jul
fachwerk13–30.0412%10 Jul
office0–5-0.0675%9 Jul
boulder3–13-0.0416%9 Jul
shelter13–60.048%9 Jul
alpine13–10-0.006%8 Jul
alpine3–10.060%8 Jul
italy9–13-0.0311%7 Jul
alpine13–50.1920%7 Jul
alpine13–9-0.068%6 Jul
alpine13–40.1110%6 Jul
alpine13–7-0.0510%6 Jul
alpine5–13-0.0813%6 Jul
alpine13–70.096%6 Jul
alpine7–130.0513%6 Jul
alpine13–3-0.037%5 Jul
office13–10.1413%5 Jul
alpine5–13-0.0712%5 Jul
warden11–130.0217%5 Jul
stronghold8–13-0.0411%5 Jul
italy13–10.124%4 Jul
office2–13-0.0318%4 Jul
alpine4–13-0.038%4 Jul
alpine13–7-0.0415%4 Jul
italy2–13-0.0222%3 Jul
alpine13–6-0.049%3 Jul
alpine10–13-0.0110%1 Jul
office13–60.069%28 Jun
alpine3–11-0.036%28 Jun
alpine5–13-0.057%28 Jun
italy4–13-0.053%28 Jun
alpine7–130.0023%28 Jun
warden13–11-0.018%28 Jun
anubis5–13-0.080%27 Jun
anubis4–50.1313%27 Jun
alpine5–13-0.099%27 Jun
italy13–10.1511%27 Jun
vertigo13–11-0.0318%26 Jun
italy13–00.0535%26 Jun
alpine13–4-0.0611%26 Jun
italy12–12-0.0013%25 Jun
alpine13–90.0410%25 Jun
anubis9–13-0.0711%23 Jun
alpine12–120.0113%23 Jun
sanctum6–9-0.055%23 Jun
alpine11–20.014%22 Jun

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 →