BOB? — CS2 Stats

76561198417223458[U:1:456957730]✓ No bans

1,133Tracked matches48%Win rate2024Tracked since
1,645Hours in CS15Hrs last 2 wks
CSDB Rating2.2 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 medianLevel 5 medianvs Level 5
Headshot rate40.7%42.5%44.2%3.5% short
Shot accuracy0.1%10.9%11.2%11.1% short
Kill/death ratio0.590.991.040.45 short
Match win rate34.2%44.2%45.3%11.1% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBOB?FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim17
Positioning39
Utility21

0–100 skill scores via Leetify.

Recent form

COLD44524Last 10044%Win rateLWLTLWLWLL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim1.7
Aggression3.7
Utility2.1
Positioning3.9
Opening Duels0.5
Clutch0.0

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 67% playstyle similarity

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

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. 642ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 53% 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

Aim1.7
Positioning3.9
Utility2.1
Mechanics0.7
Opening Duels0.7
Win Impact4.4

Composite 2.2/10 (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-0.04−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time632ms−58ms
first ⅓ avg 690ms → last ⅓ avg 632ms
Headshot accuracy17.9%−4.4%
first ⅓ avg 22.3% → last ⅓ avg 17.9%

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 — ancient 7–13
132Biggest win — italy
8Longest win streak
78In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 56% over 9dust2Weakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
officeB35161946%-0.05
nukeB137654%-0.04
vertigoA95456%-0.05
infernoB84450%-0.04
anubisC83538%-0.04
dust2D72529%-0.04
ancient41325%0.02
mirage41325%-0.02
italy42250%0.02
cache3030%-0.07
train21150%-0.06
debris21150%-0.08
eldorado110100%0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,251Lifetime kills
0.59K/D
2,454Matches
34.2%Match win rate
40.7%Headshot %
0.1%Shot accuracy
3,425MVPs
764Hours (in match)
2,477Bombs planted
456Bombs defused

Most-used weapons

Lifetime map wins

2,687dust2
2,681office
2,629inferno
1,664nuke
1,088vertigo
387train
112italy
66lake

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

Faceit stats

Combat

3Matches
33%Win rate
0.40Avg K/D
36.8ADR
35%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust2250%0.427.0
Anubis10%0.356.0

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.

17.5%Headshot accuracy
23.5%Accuracy (enemy spotted)
34.0%Spray accuracy
53.0%Counter-strafing
12.8°Preaim
642msReaction time
28.2%T opening success
35.9%CT opening success
0.24Enemies flashed / flash
9.2%Flash assists
11.44HE damage / grenade
2.06Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.8207° — above the 12° 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 0.242 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Dust 2

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust23–9-0.0722%27 Aug
nuke13–9-0.118%25 Aug
dust27–13-0.0622%24 Aug
nuke12–12-0.0015%24 Aug
vertigo7–13-0.1114%24 Aug
vertigo13–6-0.0116%22 Aug
inferno6–130.0119%22 Aug
inferno13–5-0.0425%21 Aug
ancient9–13-0.0520%20 Aug
office8–13-0.0431%20 Aug
mirage13–11-0.0620%20 Aug
dust29–10.0625%20 Aug
cache5–13-0.120%17 Aug
office8–13-0.0910%17 Aug
anubis13–7-0.036%17 Aug
vertigo10–13-0.0510%17 Aug
inferno8–13-0.0835%17 Aug
vertigo13–10-0.064%12 Aug
train8–13-0.084%12 Aug
train13–6-0.0415%12 Aug
office13–11-0.0726%11 Aug
office13–10-0.0426%11 Aug
mirage11–130.0818%11 Aug
nuke8–13-0.0325%11 Aug
ancient13–4-0.0516%11 Aug
anubis13–8-0.0410%11 Aug
office13–9-0.0830%10 Aug
vertigo13–7-0.0022%10 Aug
dust211–13-0.0514%10 Aug
office5–13-0.1025%10 Aug
italy13–2-0.000%7 Aug
office10–13-0.0535%7 Aug
office11–13-0.0322%7 Aug
office5–13-0.0323%6 Aug
nuke13–9-0.0313%6 Aug
nuke11–13-0.0315%5 Aug
office13–11-0.0120%5 Aug
inferno13–90.0231%5 Aug
nuke13–10-0.0419%4 Aug
office13–7-0.0316%4 Aug
office13–11-0.0515%4 Aug
inferno13–6-0.0418%4 Aug
office13–3-0.0721%4 Aug
vertigo13–70.0131%4 Aug
vertigo4–13-0.1113%3 Aug
office6–13-0.1215%3 Aug
mirage4–9-0.055%3 Aug
cache7–13-0.0325%3 Aug
nuke7–13-0.0612%3 Aug
italy8–130.0026%2 Aug
nuke4–9-0.1319%1 Aug
office13–5-0.0516%1 Aug
vertigo13–10-0.0825%1 Aug
nuke8–130.0210%31 Jul
office6–13-0.0217%31 Jul
italy13–8-0.0311%31 Jul
anubis5–13-0.0911%31 Jul
nuke13–7-0.083%30 Jul
vertigo12–12-0.0316%30 Jul
office13–8-0.0426%29 Jul
office9–13-0.0920%29 Jul
office12–120.0319%29 Jul
office4–13-0.0916%29 Jul
office4–1-0.0117%29 Jul
office13–80.0114%29 Jul
office13–20.0416%28 Jul
anubis4–13-0.068%28 Jul
office13–7-0.098%27 Jul
dust210–13-0.0518%27 Jul
office6–13-0.0521%27 Jul
office12–12-0.0335%27 Jul
anubis7–80.0411%27 Jul
office7–13-0.099%23 Jul
office13–8-0.0816%22 Jul
italy11–130.1016%22 Jul
inferno4–7-0.0450%22 Jul
nuke13–2-0.039%22 Jul
office11–13-0.0110%22 Jul
office5–13-0.0625%22 Jul
anubis13–11-0.0118%22 Jul
cache2–13-0.0660%22 Jul
anubis4–13-0.0921%21 Jul
office13–10-0.0329%21 Jul
mirage7–13-0.065%21 Jul
nuke13–110.0122%21 Jul
ancient4–130.0227%21 Jul
dust211–13-0.0216%21 Jul
nuke13–11-0.0521%17 Jul
dust213–7-0.0623%17 Jul
inferno13–5-0.029%17 Jul
office10–13-0.0215%16 Jul
office13–5-0.0229%16 Jul
eldorado9–50.0927%16 Jul
debris4–9-0.206%16 Jul
debris9–50.0312%16 Jul
ancient7–130.14100%15 Jul
inferno5–13-0.1022%15 Jul
office9–13-0.0510%15 Jul
anubis7–13-0.0413%15 Jul
office7–13-0.0221%15 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →