bobbieDEMON

bobbieDEMON — CS2 Stats

PE76561198119439964[U:1:159174236]Steam profile ↗✓ No bans

1,297Tracked matches57%Win rate2020Tracked since
2,925Hours in CS7Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating21,586Top 50% of 204,412 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#59772 of 251800 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (3 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: 21,586 -1,982 4 Oct – 12 Oct · 19 days played
21,09725,000peak 25,0004 Oct12 Oct
25,100Peak Premier in tracked matches
1,704Highest Faceit ELO seen on CSDB
40Days played since 2025-09-07

Faceit ELO

  • At peak — 1,704
  • Next: Level 9 at 1,751 — 47 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • 3,414 below peak (25,000)
  • -693 over 30 days · declining
  • Next: Red band at 25,000 — 3,414 to go
  • Reached: Red band · Pink band · Purple band · 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate48.2%46.9%49.3%1.1% short
Shot accuracy11.6%13.0%13.4%1.8% short
Kill/death ratio1.021.081.120.11 short
Match win rate41.6%46.7%48.5%6.9% short

This profile sits below the typical Red band player on every metric we can compare.

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

Share this profile

CSDB.GGbobbieDEMONPREMIER21,586 · Pink bandPEAK ELO1,704csdb.gg/stats

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Performance scores

Aim75
Positioning70
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateLWWWWLLLLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −4.4pp headshot accuracy · +133ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 602ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 597ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 531ms

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 (+2.1 against its own average).

Aim7.5
Utility3.0
Positioning7.0
Opening Duels6.5
Clutch3.2

Limited utility dependence

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 71% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Areas to improve

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

Counter-strafing. Only 67% 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

Aim7.5
Positioning7.0
Utility3.0
Mechanics3.8
Opening Duels6.4
Win Impact7.4

Composite 6.2/10 (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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time546ms−39ms
first ⅓ avg 585ms → last ⅓ avg 546ms
Headshot accuracy18.8%−1.9%
first ⅓ avg 20.7% → last ⅓ avg 18.8%

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

0.19Best match rating · 13–5 · nuke, 16 Apr →
41%Best headshot accuracy · 11–13 · dust2, 18 Sept →
391msFastest reaction time · 11–13 · dust2, 18 Sept →
13–0Biggest win · train, 30 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
11–3In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 80% over 5ancientWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
mirageB3116–1552%0.00
dust2S3021–970%0.01
ancientD165–1131%0.00
infernoA127–558%-0.02
cacheS54–180%0.04
nuke—31–233%0.04
anubis—10–10%-0.08
overpass—10–10%-0.05
train—11–0100%0.14

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

95,698Lifetime kills
1.02K/D
4,051Matches
41.6%Match win rate
48.2%Headshot % · Top 50% of Pink band
11.6%Shot accuracy
8,898MVPs
2,029Hours (in match)
4,059Bombs planted
783Bombs defused

Most-used weapons

AK-4738,078
AWP15,731
FAMAS1,249
Knife1,226
P90914

Lifetime map wins

14,909dust2
3,242inferno
271nuke
127train
83vertigo
79cbble
34safehouse
32office

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

Faceit stats

Combat

711Matches
51%Win rate
1.13Avg K/D
79.6ADR
40%Headshot %

Clutches & streaks

36%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage18552%1.2816.6
Dust216152%1.2217.2
Inferno9154%1.2417.6
Ancient7544%1.1517.1
Anubis1118%1.2019.4
Overpass560%1.3115.0
Nuke333%0.6610.3
Cache250%0.8011.5

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.

18.4%Headshot accuracy
37.6%Accuracy (enemy spotted)
40.3%Spray accuracy
67.3%Counter-strafing
8.7°Preaim
534msReaction time
55.0%T opening success
56.5%CT opening success
0.36Enemies flashed / flash
6.4%Flash assists
7.41HE damage / grenade
2.71Flashes / 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 0.3555 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0118%12 Oct →
dust213–50.0911%12 Oct →
dust213–70.0235%12 Oct →
dust213–6-0.030%11 Oct →
cache13–30.0822%11 Oct →
ancient12–16-0.0217%11 Oct →
ancient6–13-0.0411%11 Oct →
mirage1–13-0.0520%1 Oct →
mirage6–130.0225%28 Sept →
anubis6–13-0.0813%26 Sept →
mirage15–150.0219%26 Sept →
mirage15–150.0311%24 Sept →
dust211–130.0641%18 Sept →
nuke7–13-0.0128%17 Sept →
ancient16–140.0112%6 Sept →
inferno5–13-0.0614%6 Sept →
ancient13–70.0818%6 Sept →
mirage13–60.1013%6 Sept →
cache13–80.0028%6 Sept →
dust24–13-0.0733%6 Sept →
dust213–20.0717%6 Sept →
mirage13–11-0.0223%6 Sept →
dust213–70.0715%6 Sept →
dust213–90.0320%31 Aug →
mirage7–130.0115%31 Aug →
mirage13–6-0.0021%30 Aug →
mirage13–7-0.006%30 Aug →
cache5–60.0726%21 Jul →
cache13–60.1211%7 Jul →
cache13–10-0.0617%27 May →
overpass13–16-0.0513%18 Apr →
nuke13–50.1930%16 Apr →
inferno4–13-0.0219%16 Apr →
inferno13–100.0421%8 Apr →
dust210–130.0328%17 Mar →
mirage13–60.0629%17 Mar →
inferno13–11-0.0117%17 Mar →
mirage13–80.0814%17 Mar →
dust213–11-0.028%21 Feb →
mirage9–13-0.0411%21 Feb →
ancient13–40.0815%21 Feb →
dust213–20.039%21 Feb →
mirage13–90.0519%21 Feb →
ancient13–90.0214%21 Feb →
mirage12–16-0.0621%8 Jan →
nuke8–13-0.0814%21 Dec →
inferno10–13-0.0525%21 Dec →
ancient2–13-0.1023%21 Dec →
mirage13–80.0227%21 Dec →
dust213–50.0816%21 Dec →
inferno13–60.0113%8 Dec →
mirage16–13-0.0115%6 Dec →
mirage8–130.038%6 Dec →
inferno16–14-0.0317%16 Nov →
dust213–80.0111%16 Nov →
mirage13–11-0.039%16 Nov →
mirage13–50.0112%16 Nov →
ancient14–160.0021%16 Nov →
mirage5–130.0314%30 Oct →
train13–00.1423%30 Oct →
dust213–90.0120%30 Oct →
dust213–80.0821%29 Oct →
dust213–10-0.0235%25 Oct →
mirage8–13-0.0416%20 Oct →
ancient8–130.0727%20 Oct →
mirage16–13-0.0114%20 Oct →
dust213–80.0123%20 Oct →
ancient6–13-0.0311%11 Oct →
mirage13–6-0.0123%10 Oct →
ancient13–110.0119%8 Oct →
mirage13–100.0716%8 Oct →
dust24–13-0.0517%4 Oct →
dust213–8-0.0123%4 Oct →
mirage8–13-0.0215%4 Oct →
dust213–30.0421%3 Oct →
dust213–40.0427%3 Oct →
dust213–9-0.0216%3 Oct →
mirage6–13-0.0031%3 Oct →
dust213–110.0429%3 Oct →
ancient13–16-0.0028%1 Oct →
ancient10–13-0.0324%1 Oct →
ancient5–13-0.0618%25 Sept →
dust26–13-0.0733%25 Sept →
inferno9–13-0.0626%25 Sept →
ancient8–13-0.0114%25 Sept →
mirage7–13-0.0219%23 Sept →
inferno13–5-0.0534%23 Sept →
dust24–130.0222%23 Sept →
dust213–11-0.069%23 Sept →
mirage16–140.0019%22 Sept →
dust25–13-0.0323%22 Sept →
inferno16–140.0316%14 Sept →
mirage4–13-0.037%14 Sept →
inferno13–8-0.009%14 Sept →
ancient7–130.0523%13 Sept →
mirage7–13-0.0613%13 Sept →
dust213–100.0338%7 Sept →
mirage13–80.0324%7 Sept →
dust29–13-0.0320%7 Sept →
inferno7–13-0.0113%7 Sept →

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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