Bob

Bob — CS2 Stats

76561199060739675[U:1:1100473947]Steam profile ↗✓ No bans

2,638Tracked matches47%Win rate2021Tracked since
CSDB Rating6.0 SolidSupport
Premier CS Rating24,999Top 25% of 200,982 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)
CSDB Leaderboard#21766 of 247923 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (5 days ago). 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: 24,999 -404 4 Jul – 27 Sept · 18 days played
24,38525,527peak 25,5274 Jul27 Sept
25,527Peak Premier in tracked matches
44Days played since 2026-07-04

Premier CS Rating

  • 528 below peak (25,527)
  • +494 over 30 days · improving
  • -404 over 90 days
  • Next: Red band at 25,000 — 1 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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

Share this profile

CSDB.GGBobPREMIER24,999 · Pink bandcsdb.gg/stats

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Performance scores

Aim84
Positioning46
Utility51

0–100 skill scores via Leetify.

Recent form

HOT48–49–3Last 10048%Win rateWWWWWLWWLL

Last 10 vs previous 10: +40pp win rate · +0.05 avg rating · −5.3pp headshot accuracy · −46ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 581ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 577ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 600ms

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: Support — Utility contribution stands above the rest of this profile (+1.7 against its own average).

Aim8.4
Utility5.1
Positioning4.6
Opening Duels0.3
Clutch3.6

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

Twistzz

Plays most like Twistzz 81% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; 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

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 574ms 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

Aim8.4
Positioning4.6
Utility5.1
Mechanics7.5
Opening Duels1.5
Win Impact3.9

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time582ms−35ms
first ⅓ avg 617ms → last ⅓ avg 582ms
Headshot accuracy22.1%+4.7%
first ⅓ avg 17.4% → last ⅓ avg 22.1%

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

0.11Best match rating · 13–4 · mirage, 11 Jul →
83%Best headshot accuracy · 1–10 · vertigo, 12 Sept →
359msFastest reaction time · 5–13 · inferno, 6 Sept →
13–1Biggest win · vertigo, 28 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
5–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 67% over 9anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageS2315–865%0.02
ancientC176–1135%-0.00
infernoC104–640%0.01
cacheS96–367%-0.02
nukeA95–456%0.02
dust2D82–625%0.01
vertigoA85–363%0.00
anubisD71–614%-0.02
train—32–167%-0.00
overpass—31–233%0.06
fachwerk—10–10%-0.05
office—10–10%-0.01
shelter—11–0100%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

499Matches
53%Win rate
1.00Avg K/D
72.7ADR
38%Headshot %

Clutches & streaks

38%1v1 clutch win
11%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage7647%0.9013.3
Anubis4367%0.8812.8
Ancient3949%0.8714.1
Inferno3534%0.9415.4
Nuke3262%0.9314.3
Dust22532%0.8513.1
Vertigo1136%0.8114.0
Overpass450%0.678.0

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.

20.6%Headshot accuracy
37.3%Accuracy (enemy spotted)
40.3%Spray accuracy
83.6%Counter-strafing
8.5°Preaim
574msReaction time
35.6%T opening success
36.5%CT opening success
0.54Enemies flashed / flash
6.3%Flash assists
11.04HE damage / grenade
6.58Flashes / 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

    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 35.6037% — below the 40% mark we flag

Spend your practice time on Anubis

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–70.0127%27 Sept →
train13–20.0815%27 Sept →
mirage13–90.0923%27 Sept →
mirage13–9-0.0314%27 Sept →
ancient13–20.0823%26 Sept →
cache10–130.0224%25 Sept →
mirage13–11-0.0020%24 Sept →
nuke13–70.0024%24 Sept →
inferno10–130.0817%24 Sept →
nuke9–130.1022%24 Sept →
cache13–8-0.0517%19 Sept →
overpass13–60.1121%19 Sept →
inferno8–130.0019%19 Sept →
fachwerk10–13-0.058%19 Sept →
anubis11–130.0121%15 Sept →
cache13–110.0321%15 Sept →
nuke2–13-0.0329%15 Sept →
dust23–13-0.0325%12 Sept →
cache8–13-0.0619%12 Sept →
vertigo1–10-0.0483%12 Sept →
ancient7–13-0.0616%11 Sept →
anubis5–13-0.079%11 Sept →
dust28–13-0.0324%9 Sept →
mirage3–13-0.0218%9 Sept →
inferno5–13-0.0715%6 Sept →
mirage16–130.0422%6 Sept →
ancient13–80.0623%6 Sept →
ancient6–13-0.1018%5 Sept →
dust213–70.0420%4 Sept →
mirage13–60.0510%4 Sept →
nuke11–130.0227%4 Sept →
office9–13-0.0135%2 Sept →
nuke13–70.0921%30 Aug →
mirage7–130.0225%30 Aug →
ancient11–13-0.0424%30 Aug →
inferno13–60.0315%28 Aug →
mirage11–13-0.0219%27 Aug →
mirage10–13-0.0120%27 Aug →
cache13–6-0.0621%23 Aug →
ancient9–13-0.0123%23 Aug →
vertigo13–70.0419%13 Aug →
ancient11–130.0118%9 Aug →
inferno10–13-0.0118%9 Aug →
overpass12–120.0721%9 Aug →
cache13–6-0.0653%8 Aug →
ancient0–13-0.0324%4 Aug →
vertigo6–1-0.037%3 Aug →
anubis9–13-0.0422%3 Aug →
ancient13–100.0420%2 Aug →
dust24–130.0031%2 Aug →
nuke13–100.0531%31 Jul →
mirage13–100.0122%31 Jul →
ancient13–80.0220%31 Jul →
ancient10–13-0.0118%31 Jul →
anubis3–13-0.0833%30 Jul →
mirage4–13-0.0316%29 Jul →
cache13–3-0.0119%29 Jul →
dust27–13-0.0135%28 Jul →
vertigo13–10.0424%28 Jul →
vertigo2–13-0.0119%28 Jul →
inferno13–110.0628%28 Jul →
ancient11–2-0.0613%28 Jul →
dust28–130.0224%28 Jul →
train13–110.0128%28 Jul →
cache12–120.0216%27 Jul →
ancient4–13-0.0212%27 Jul →
vertigo12–120.0410%26 Jul →
mirage13–70.0116%25 Jul →
anubis14–16-0.019%25 Jul →
mirage7–130.0218%24 Jul →
mirage13–60.0717%24 Jul →
mirage9–13-0.0524%24 Jul →
anubis13–90.0914%24 Jul →
inferno5–13-0.0625%24 Jul →
nuke13–70.0113%24 Jul →
mirage13–80.0419%23 Jul →
mirage13–40.0518%23 Jul →
overpass4–130.0121%23 Jul →
inferno13–110.0420%23 Jul →
mirage13–70.0619%22 Jul →
ancient6–130.036%21 Jul →
train3–13-0.108%20 Jul →
nuke13–100.0217%20 Jul →
vertigo10–1-0.0016%20 Jul →
dust25–130.0115%20 Jul →
cache13–60.0416%19 Jul →
ancient5–130.0116%17 Jul →
ancient13–70.0710%17 Jul →
mirage13–30.0020%16 Jul →
anubis7–13-0.0513%16 Jul →
vertigo13–6-0.0223%16 Jul →
dust213–70.1121%15 Jul →
inferno7–13-0.0314%13 Jul →
nuke2–13-0.0919%12 Jul →
mirage13–100.0220%11 Jul →
mirage13–40.1114%11 Jul →
mirage13–5-0.0113%11 Jul →
shelter13–50.0518%11 Jul →
mirage5–130.0118%6 Jul →
ancient1–8-0.0244%4 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 →

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