Aimbob

Aimbob — CS2 Stats

DE76561199239901748[U:1:1279636020]Steam profile ↗✓ No bans

1,710Tracked matches66%Win rate2022Tracked since
2,987Hours in CS40Hrs last 2 wks
CSDB Rating6.9 SolidPositional Player
Premier CS Rating15,521Purple band · top ~26.3% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (10 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: 15,521 +1,921 4 Sept – 27 Sept · 8 days played
13,60015,521peak 15,5214 Sept27 Sept
15,521Peak Premier in tracked matches
1,004Highest Faceit ELO seen on CSDB
24Days played since 2026-09-04

Faceit ELO

  • At peak — 1,004
  • Next: Level 5 at 1,051 — 47 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • At peak — 15,521
  • +1,921 over 30 days · improving
  • Next: Pink band at 20,000 — 4,479 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate40.7%44.3%46.9%6.2% short
Shot accuracy10.2%11.9%13.0%2.8% short
Kill/death ratio1.011.031.080.07 short
Match win rate78.9%45.2%46.7%above

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

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

Share this profile

CSDB.GGAimbobPREMIER15,521 · Purple bandPEAK ELO1,004csdb.gg/stats

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Performance scores

Aim75
Positioning64
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY59–36–5Last 10059%Win rateLLWLWWLLLW

Last 10 vs previous 10: −40pp win rate · +0.02 avg rating · −0.1pp headshot accuracy · +38ms reaction

Win rate down 40pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 667ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 614ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 595ms

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 (+1.8 against its own average).

Aim7.5
Utility4.0
Positioning6.4
Opening Duels5.1
Clutch3.0

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

donk

Plays most like donk 96% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 66% T opening-duel success — entries that actually open the round.

Areas to improve

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

Reaction time. 559ms 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

Aim7.5
Positioning6.4
Utility4.0
Mechanics6.6
Opening Duels7.9
Win Impact10.0

Composite 6.9/10 (Solid), 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 rating0.01−0.05
first ⅓ avg 0.06 → last ⅓ avg 0.01
Reaction time575ms−1ms
first ⅓ avg 576ms → last ⅓ avg 575ms
Headshot accuracy17.0%+1.2%
first ⅓ avg 15.8% → last ⅓ avg 17.0%

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

0.32Best match rating · 9–3 · poseidon, 10 Sept →
60%Best headshot accuracy · 4–10 · cache, 16 Sept →
422msFastest reaction time · 3–4 · inferno, 22 Sept →
13–0Biggest win · ancient, 7 Sept →

Across the last 100 tracked matches.

Highlights

13Longest win streak
L2Current streak
12–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 88% over 8italyWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
ancientB168–850%0.03
dust2A138–562%-0.00
mirageA138–562%-0.00
anubisB105–550%-0.00
infernoS87–188%-0.01
cacheS75–271%0.05
italyD62–433%0.04
poseidon—42–250%0.05
nuke—41–325%-0.01
shelter—44–0100%0.02
boulder—42–250%0.03
vertigo—31–233%-0.03
overpass—22–0100%0.05
train—21–150%0.09
eldorado—11–0100%0.19
debris—11–0100%0.27
office—10–10%-0.11
fachwerk—11–0100%0.03

Across the last 100 tracked matches.

Lifetime stats

57,014Lifetime kills
1.01K/D
8,177Matches
78.9%Match win rate · Top 1% of Purple band
40.7%Headshot %
10.2%Shot accuracy
7,859MVPs
1,391Hours (in match)
1,537Bombs planted
463Bombs defused

Most-used weapons

Lifetime map wins

5,890inferno
3,549dust2
2,610cbble
2,304vertigo
1,328nuke
587office
288train
154lake

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

Faceit stats

Combat

255Matches
52%Win rate
0.93Avg K/D
93.3ADR
39%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4757%1.1416.4
Dust22654%1.1818.2
Inferno2060%1.1715.6
Ancient1331%0.9916.7
Nuke743%1.1013.7
Anubis757%0.8916.9
Overpass475%1.1415.3
Vertigo367%0.7711.7

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.

17.4%Headshot accuracy
34.7%Accuracy (enemy spotted)
34.7%Spray accuracy
79.9%Counter-strafing
8.0°Preaim
559msReaction time
66.3%T opening success
57.1%CT opening success
0.47Enemies flashed / flash
2.7%Flash assists
7.73HE damage / grenade
5.77Flashes / 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. 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 0.4685 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
poseidon7–90.026%7 Oct →
poseidon2–9-0.1211%7 Oct →
poseidon9–1-0.0233%7 Oct →
ancient7–130.0020%2 Oct →
eldorado9–70.1914%1 Oct →
debris9–60.2723%1 Oct →
nuke6–130.0112%1 Oct →
anubis9–130.0517%1 Oct →
anubis4–13-0.0920%1 Oct →
ancient13–110.0214%30 Sept →
dust210–130.0816%30 Sept →
dust213–60.0220%30 Sept →
cache7–3-0.1113%29 Sept →
shelter13–110.0022%29 Sept →
dust213–50.0011%28 Sept →
mirage13–9-0.0418%27 Sept →
ancient16–12-0.0215%27 Sept →
cache13–30.0723%27 Sept →
mirage10–130.0723%27 Sept →
ancient13–50.0610%27 Sept →
anubis16–14-0.0310%26 Sept →
dust216–120.0319%26 Sept →
inferno13–11-0.0314%26 Sept →
ancient15–150.0116%26 Sept →
anubis7–13-0.0214%26 Sept →
dust27–13-0.0521%26 Sept →
mirage13–11-0.0515%25 Sept →
ancient14–16-0.0125%23 Sept →
nuke2–13-0.0521%23 Sept →
inferno13–4-0.0121%23 Sept →
mirage13–90.0220%23 Sept →
dust213–1-0.0117%23 Sept →
vertigo13–11-0.068%23 Sept →
inferno16–130.0024%22 Sept →
mirage13–80.0423%22 Sept →
dust213–50.0528%22 Sept →
inferno3–4-0.0418%22 Sept →
overpass13–70.018%21 Sept →
anubis13–40.0125%21 Sept →
overpass13–100.1027%21 Sept →
anubis13–110.0216%21 Sept →
ancient13–10.0636%21 Sept →
ancient2–13-0.0223%21 Sept →
mirage7–13-0.0830%20 Sept →
dust29–13-0.0714%20 Sept →
dust25–13-0.0917%20 Sept →
mirage13–6-0.0011%20 Sept →
mirage13–100.0314%20 Sept →
vertigo2–130.0110%20 Sept →
shelter13–8-0.0216%19 Sept →
anubis13–9-0.0234%19 Sept →
anubis4–13-0.0313%16 Sept →
ancient2–13-0.0011%16 Sept →
ancient3–13-0.0716%16 Sept →
cache4–10-0.0060%16 Sept →
anubis12–120.0720%16 Sept →
anubis13–7-0.0217%16 Sept →
dust213–9-0.0514%16 Sept →
dust213–70.0120%16 Sept →
mirage13–110.0413%16 Sept →
nuke11–13-0.0721%16 Sept →
cache12–120.0216%16 Sept →
ancient3–13-0.0615%14 Sept →
dust21–8-0.0412%14 Sept →
ancient13–90.0626%14 Sept →
inferno13–100.0112%14 Sept →
office1–13-0.1114%14 Sept →
vertigo9–13-0.056%12 Sept →
boulder13–10-0.0311%12 Sept →
italy13–90.0210%12 Sept →
train13–10.2123%12 Sept →
train2–13-0.0416%12 Sept →
ancient13–60.2222%11 Sept →
dust213–110.1118%11 Sept →
cache13–100.0714%11 Sept →
mirage10–130.0811%11 Sept →
shelter13–50.0210%11 Sept →
mirage13–3-0.0023%11 Sept →
mirage3–13-0.0520%11 Sept →
italy10–130.0914%11 Sept →
poseidon9–30.3222%10 Sept →
italy7–130.029%10 Sept →
mirage9–13-0.079%8 Sept →
ancient13–00.1121%7 Sept →
inferno11–130.0516%7 Sept →
nuke13–110.0611%7 Sept →
ancient13–100.1317%7 Sept →
ancient10–13-0.0714%6 Sept →
boulder12–120.039%6 Sept →
shelter13–30.0817%6 Sept →
inferno13–10-0.0413%5 Sept →
cache13–50.1212%4 Sept →
cache13–20.1931%4 Sept →
inferno13–50.0219%4 Sept →
boulder12–12-0.0112%4 Sept →
italy11–13-0.0517%4 Sept →
fachwerk13–50.0317%4 Sept →
boulder13–30.1413%4 Sept →
italy6–130.0622%4 Sept →
italy13–80.1022%4 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches13-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.