BOT BOB

BOT BOB — CS2 Stats

KE76561198321208103[U:1:360942375]Steam profile ↗✓ No bans

1,728Tracked matches48%Win rate2020Tracked since
3,029Hours in CS38Hrs last 2 wks
CSDB Rating5.9 SolidAll-Rounder
Premier CS Rating13,188Blue band · top ~38% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 13,188 → 13,188
+5Tracked matches · now 1,728
+5.4ppWin rate · 42.9% → 48.3%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 24 days played since 19 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 13,188 -1,811 19 Aug17 Sept · 24 days played
12,38817,615peak 17,61519 Aug17 Sept
17,966Peak Premier in tracked matches
24Days played since 2026-08-19

Premier CS Rating

  • 4,427 below peak (17,615)
  • -1,811 over 30 days · declining
  • Next: Purple band at 15,000 1,812 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=19,543), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate50.6%41.9%44.3%above
Shot accuracy8.5%9.6%11.8%3.3% short
Kill/death ratio0.910.981.030.12 short
Match win rate37.5%43.8%45.2%7.7% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGBOT BOBPREMIER13,188 · Blue bandcsdb.gg/stats

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Performance scores

Aim54
Positioning66
Utility60

0–100 skill scores via Leetify.

Recent form

HOT50464Last 10050%Win rateLLWWWWWWLW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · −3.4pp headshot accuracy · +55ms 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

  • 32 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 712ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 713ms

Last 20

  • 1091 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 686ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim5.4
Utility6.0
Positioning6.6
Opening Duels5.3

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

ZywOo

Plays most like ZywOo 70% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 676ms 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

Aim5.4
Positioning6.6
Utility6.0
Mechanics7.7
Opening Duels7.5
Win Impact4.4

Composite 5.9/10 (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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time675ms+24ms
first ⅓ avg 650ms → last ⅓ avg 675ms
Headshot accuracy23.9%+6.6%
first ⅓ avg 17.3% → last ⅓ avg 23.9%

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.

Personal bests

0.14Best match rating · 13–4 · dust2, 27 Aug
56%Best headshot accuracy · 3–13 · mirage, 5 Sept
484msFastest reaction time · 13–6 · nuke, 1 Sept
13–0Biggest win · dust2, 11 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
89In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 67% over 9infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A40231757%-0.00
ancientA138562%-0.01
infernoD124833%-0.05
mirageD124833%-0.02
nukeB115645%-0.03
anubisS96367%-0.03
cache3030%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

103,967Lifetime kills
0.91K/D
5,763Matches
37.5%Match win rate
50.6%Headshot % · Top 25% of Blue band
8.5%Shot accuracy
8,230MVPs
3,136Hours (in match)
2,899Bombs planted
716Bombs defused

Most-used weapons

AK-4747,743
AWP11,906
MP91,798
AUG1,639
XM10141,442

Lifetime map wins

22,014dust2
2,738inferno
2,011nuke
842vertigo
237train
74cbble
49ar_shoots
27ar_baggage

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.

24.1%Headshot accuracy
29.2%Accuracy (enemy spotted)
32.2%Spray accuracy
84.6%Counter-strafing
11.9°Preaim
676msReaction time
64.4%T opening success
55.3%CT opening success
0.62Enemies flashed / flash
9.1%Flash assists
9.18HE damage / grenade
14.45Flashes / match

Recommended for you

Spend your practice time on Inferno

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.1025%17 Sept
mirage2–130.0320%17 Sept
dust213–110.1038%17 Sept
dust213–90.0118%17 Sept
dust213–30.1034%17 Sept
nuke13–100.0319%16 Sept
nuke13–11-0.0423%16 Sept
nuke13–7-0.0513%16 Sept
dust24–13-0.0825%16 Sept
dust213–60.0120%16 Sept
anubis13–5-0.0422%16 Sept
dust28–13-0.0434%15 Sept
mirage14–160.0119%15 Sept
dust213–5-0.0113%15 Sept
inferno12–16-0.0131%15 Sept
anubis13–1-0.0335%15 Sept
dust214–160.0014%14 Sept
dust27–13-0.0430%14 Sept
cache15–150.0129%14 Sept
nuke2–13-0.0441%11 Sept
dust213–00.0221%11 Sept
nuke11–130.0222%11 Sept
ancient13–6-0.0323%11 Sept
nuke10–13-0.0321%10 Sept
dust213–110.0425%10 Sept
dust210–13-0.0125%10 Sept
ancient13–60.0129%10 Sept
dust29–130.0227%10 Sept
nuke6–13-0.0417%10 Sept
ancient5–13-0.0214%9 Sept
dust22–13-0.0725%9 Sept
ancient13–90.0518%9 Sept
dust215–15-0.0518%9 Sept
nuke11–13-0.0729%8 Sept
dust22–13-0.0644%7 Sept
anubis2–13-0.0515%7 Sept
inferno10–13-0.0624%7 Sept
mirage9–130.0311%7 Sept
anubis13–20.0517%7 Sept
dust213–100.0029%7 Sept
dust25–13-0.0722%5 Sept
dust213–70.0630%5 Sept
anubis8–13-0.0626%5 Sept
mirage3–13-0.0556%5 Sept
ancient14–160.0124%4 Sept
mirage15–15-0.0122%4 Sept
dust26–13-0.0330%3 Sept
dust213–90.0721%3 Sept
dust26–130.0121%2 Sept
ancient7–13-0.0715%2 Sept
ancient13–6-0.0322%2 Sept
inferno11–13-0.0334%2 Sept
dust28–13-0.0526%1 Sept
nuke13–6-0.0733%1 Sept
ancient13–10-0.0723%1 Sept
ancient13–9-0.0322%31 Aug
dust213–7-0.0137%31 Aug
dust213–30.0732%31 Aug
mirage13–6-0.0427%31 Aug
dust211–13-0.0822%31 Aug
cache11–13-0.0722%31 Aug
inferno13–11-0.0618%28 Aug
mirage9–13-0.0129%28 Aug
mirage13–6-0.0618%28 Aug
anubis6–13-0.1018%28 Aug
dust27–13-0.0325%27 Aug
dust213–40.1425%27 Aug
inferno10–13-0.0524%26 Aug
ancient13–20.1023%26 Aug
mirage13–9-0.036%26 Aug
anubis13–11-0.045%26 Aug
nuke13–80.0527%26 Aug
cache13–16-0.0818%26 Aug
dust213–8-0.0322%25 Aug
ancient13–60.0316%25 Aug
anubis13–10.0826%25 Aug
ancient9–13-0.0121%25 Aug
mirage16–13-0.0217%25 Aug
ancient9–13-0.0413%25 Aug
dust213–80.0021%25 Aug
mirage1–13-0.080%25 Aug
dust213–90.0422%24 Aug
inferno13–11-0.0318%24 Aug
inferno6–13-0.0831%24 Aug
dust216–120.0118%24 Aug
mirage14–160.0221%24 Aug
dust213–80.0220%22 Aug
dust28–13-0.1115%22 Aug
dust213–9-0.0021%22 Aug
dust213–8-0.0213%22 Aug
dust27–13-0.0721%22 Aug
nuke6–13-0.086%22 Aug
inferno4–13-0.044%22 Aug
dust213–20.0618%21 Aug
dust213–0-0.0212%21 Aug
inferno15–15-0.0622%21 Aug
dust213–11-0.0113%20 Aug
inferno13–7-0.0316%20 Aug
anubis13–11-0.1011%19 Aug
inferno13–9-0.0427%19 Aug

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 →