bob

bob — CS2 Stats

US76561198405565653[U:1:445299925]Steam profile ↗✓ No bans

500Tracked matches39%Win rate2020Tracked since
907Hours in CS42Hrs last 2 wks
CSDB Rating6.3 SolidPositional Player
Premier CS Rating14,943Blue band · top ~28.7% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,943 -3,276 21 Aug – 13 Oct · 25 days played
14,34218,925peak 18,92521 Aug13 Oct
18,925Peak Premier in tracked matches
33Days played since 2026-08-21

Premier CS Rating

  • 3,982 below peak (18,925)
  • +503 over 30 days · improving
  • Next: Purple band at 15,000 — 57 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,051), 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 3 medianLevel 4 medianvs Level 4
Headshot rate55.1%41.8%42.7%above
Shot accuracy15.2%12.2%11.3%above
Kill/death ratio1.030.980.99above
Match win rate40.2%43.3%43.9%3.7% short

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbobFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER14,943 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim83
Positioning64
Utility53

0–100 skill scores via Leetify.

Recent form

COLD45–50–5Last 10045%Win rateWLLLLWLLLL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −3.0pp headshot accuracy · −49ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 555ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 577ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 602ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1 against its own average).

Aim8.3
Utility5.3
Positioning6.4
Opening Duels4.8
Clutch5.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

s1mple

Plays most like s1mple 98% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 614ms 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

Aim8.3
Positioning6.4
Utility5.3
Mechanics8.3
Opening Duels6.3
Win Impact1.4

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time607ms+25ms
first ⅓ avg 582ms → last ⅓ avg 607ms
Headshot accuracy24.7%+1.3%
first ⅓ avg 23.4% → last ⅓ avg 24.7%

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.

Personal bests

0.17Best match rating · 13–3 · inferno, 5 Oct →
60%Best headshot accuracy · 1–6 · office, 6 Oct →
438msFastest reaction time · 13–10 · inferno, 27 Sept →
13–0Biggest win · mirage, 11 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 57% over 7officeWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA2514–1156%0.01
cacheB2010–1050%0.01
infernoB178–947%0.00
dust2D144–1029%-0.01
nukeD82–625%0.00
ancientA74–357%-0.00
officeD50–50%-0.02
anubis—43–175%0.00

Across the last 100 tracked matches.

Lifetime stats

28,124Lifetime kills
1.03K/D · Top 50% of Level 3 players
1,514Matches
40.2%Match win rate
55.1%Headshot % · Top 10% of Level 3 players
15.2%Shot accuracy · Top 50% of Level 3 players
2,780MVPs
465Hours (in match)
1,189Bombs planted
242Bombs defused

Most-used weapons

Lifetime map wins

2,532dust2
1,813inferno
510nuke
400office
376vertigo
123train
30cbble
30lake

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

Faceit stats

Combat

80Matches
48%Win rate
0.99Avg K/D
81.8ADR
44%Headshot %

Clutches & streaks

46%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage862%0.9815.3
Cache667%1.5319.8
Inferno475%1.2614.8
Anubis450%1.1216.8
Ancient3100%1.0817.3
Nuke20%0.405.5
Dust21100%1.2714.0

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.

24.3%Headshot accuracy
36.8%Accuracy (enemy spotted)
40.5%Spray accuracy
87.6%Counter-strafing
10.0°Preaim
614msReaction time
60.8%T opening success
49.6%CT opening success
0.56Enemies flashed / flash
7.2%Flash assists
8.07HE damage / grenade
12.10Flashes / match

Recommended for you

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–110.0924%13 Oct →
office5–130.0324%13 Oct →
office6–130.0220%13 Oct →
mirage10–130.0019%13 Oct →
mirage11–130.0426%13 Oct →
anubis13–80.0220%13 Oct →
cache10–130.0226%13 Oct →
inferno2–13-0.0029%13 Oct →
mirage11–130.0322%13 Oct →
dust24–130.0230%13 Oct →
office12–12-0.0121%13 Oct →
inferno13–110.0125%11 Oct →
mirage13–00.0718%11 Oct →
ancient13–8-0.0233%10 Oct →
dust21–13-0.0216%9 Oct →
office10–13-0.0922%9 Oct →
nuke5–13-0.0219%9 Oct →
cache12–120.0435%7 Oct →
cache13–10.1721%6 Oct →
office1–6-0.0760%6 Oct →
cache13–80.0339%6 Oct →
dust25–130.0521%6 Oct →
inferno13–30.1730%5 Oct →
mirage12–50.0327%5 Oct →
inferno13–70.0622%4 Oct →
mirage4–130.0215%4 Oct →
dust21–13-0.0723%2 Oct →
mirage1–13-0.0321%2 Oct →
ancient5–130.0415%1 Oct →
mirage16–12-0.0121%28 Sept →
nuke4–13-0.0030%28 Sept →
nuke15–150.0628%28 Sept →
anubis5–13-0.0214%28 Sept →
mirage16–130.0040%27 Sept →
mirage13–110.0424%27 Sept →
mirage13–20.069%27 Sept →
dust23–13-0.1014%27 Sept →
inferno10–13-0.0330%27 Sept →
cache13–10-0.0326%27 Sept →
cache13–1-0.0321%27 Sept →
inferno13–10-0.0018%27 Sept →
dust213–40.0123%27 Sept →
dust210–130.0317%26 Sept →
ancient13–8-0.0639%26 Sept →
mirage13–8-0.0319%25 Sept →
inferno8–13-0.0320%25 Sept →
dust29–13-0.0518%25 Sept →
inferno9–13-0.0711%25 Sept →
mirage13–70.0721%25 Sept →
cache13–60.0620%23 Sept →
cache13–110.0119%23 Sept →
mirage7–13-0.0319%23 Sept →
mirage14–16-0.0236%21 Sept →
mirage13–90.0027%21 Sept →
inferno13–11-0.0427%19 Sept →
dust213–10-0.0126%19 Sept →
ancient9–13-0.0117%19 Sept →
cache13–9-0.0623%19 Sept →
anubis13–3-0.0311%19 Sept →
inferno11–13-0.0515%18 Sept →
mirage13–11-0.0318%17 Sept →
nuke13–100.0021%17 Sept →
inferno13–70.0228%17 Sept →
cache2–13-0.0225%16 Sept →
nuke13–90.0230%16 Sept →
cache14–16-0.0416%8 Sept →
ancient13–100.0533%7 Sept →
cache13–80.0529%6 Sept →
mirage11–13-0.0721%4 Sept →
cache16–13-0.0226%4 Sept →
nuke6–13-0.0026%3 Sept →
inferno13–40.1633%3 Sept →
ancient1–5-0.040%3 Sept →
inferno5–130.0540%2 Sept →
cache8–13-0.0131%2 Sept →
dust213–80.0519%2 Sept →
dust23–130.0113%31 Aug →
ancient10–40.0122%30 Aug →
nuke4–13-0.0421%30 Aug →
inferno5–13-0.0810%30 Aug →
mirage7–13-0.0638%30 Aug →
inferno6–13-0.0824%30 Aug →
mirage11–130.0122%30 Aug →
cache11–13-0.0128%29 Aug →
mirage13–100.0215%29 Aug →
mirage13–60.0228%29 Aug →
cache8–13-0.0420%29 Aug →
dust22–10-0.0731%29 Aug →
dust213–8-0.0025%29 Aug →
cache13–50.1320%29 Aug →
nuke11–130.0018%28 Aug →
mirage13–70.0220%23 Aug →
inferno15–15-0.0614%23 Aug →
cache10–13-0.0537%23 Aug →
mirage10–130.0225%23 Aug →
dust212–12-0.0526%22 Aug →
cache4–13-0.0424%22 Aug →
anubis13–110.0429%22 Aug →
inferno13–70.0125%22 Aug →
cache9–13-0.0713%21 Aug →

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 →

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