Mr Bean

Mr Bean — CS2 Stats

DK76561199027347566[U:1:1067081838]Steam profile ↗✓ No bans

998Tracked matches55%Win rate2024Tracked since
CSDB Rating6.0 SolidPositional Player
FaceitLevel 8 · 1,695 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 998 tracked matches. Play, then come back: the next observation lands here.

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. 49 days played since 25 Jul 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,000 -465 3 Jun23 Jun · 3 days played
19,67020,465peak 20,4653 Jun23 Jun
20,567Peak Premier in tracked matches
1,695Highest Faceit ELO seen on CSDB
49Days played since 2025-07-25

Faceit ELO

  • At peak — 1,695
  • Next: Level 9 at 1,751 56 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-11
  • Level 7 first seen 2026-09-11

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.

Share this profile

CSDB.GGMr BeanFACEITLevel 8 · 1,695 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,695csdb.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

Aim73
Positioning61
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY53452Last 10053%Win rateTWLWLWWWLL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +0.4pp headshot accuracy · −6ms 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

  • 221 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 572ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 560ms

Last 20

  • 1091 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 563ms

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 PlayerPositioning stands above the rest of this profile (+1 against its own average).

Aim7.3
Utility5.7
Positioning6.1
Opening Duels5.1
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

jL

Plays most like jL 88% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

Areas to improve

Reaction time. 575ms 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

Aim7.3
Positioning6.1
Utility5.7
Mechanics6.4
Opening Duels4.5
Win Impact6.7

Composite 6.0/10 (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 time577ms−2ms
first ⅓ avg 579ms → last ⅓ avg 577ms
Headshot accuracy16.6%−2.2%
first ⅓ avg 18.7% → last ⅓ avg 16.6%

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

0.13Best match rating · 13–5 · mirage, 31 May
36%Best headshot accuracy · 8–13 · inferno, 12 Aug
422msFastest reaction time · 13–5 · nuke, 22 Nov
13–2Biggest win · dust2, 6 Apr

Across the last 100 tracked matches.

Highlights

5Longest win streak
710In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 70% over 10nukeWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA28181064%0.01
dust2A26161062%0.02
ancientS107370%0.02
nukeD102820%0.02
mirageD103730%0.02
overpassB63350%-0.02
trainS64267%-0.00
cache3030%-0.00
anubis1010%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

899Matches
50%Win rate
1.06Avg K/D
87.8ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust224952%1.0916.6
Inferno20651%1.0516.7
Mirage16847%1.0517.1
Ancient8551%1.0517.3
Nuke7453%0.9916.2
Anubis6760%1.0716.3
Train2540%1.0818.4
Overpass1828%1.0116.1

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.

16.9%Headshot accuracy
37.2%Accuracy (enemy spotted)
38.1%Spray accuracy
78.8%Counter-strafing
9.7°Preaim
575msReaction time
42.4%T opening success
53.8%CT opening success
0.66Enemies flashed / flash
3.3%Flash assists
7.35HE damage / grenade
7.40Flashes / 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno15–15-0.0110%4 Aug
dust213–3-0.0414%4 Aug
ancient9–13-0.0518%4 Aug
inferno13–8-0.0119%4 Aug
dust214–160.0120%2 Aug
dust213–90.0925%2 Aug
inferno13–40.1116%2 Aug
inferno13–80.0225%20 Jul
nuke2–130.0918%17 Jul
nuke10–13-0.0320%16 Jul
anubis10–13-0.0313%16 Jul
dust213–110.0325%16 Jul
dust213–30.1221%16 Jul
cache7–13-0.0321%7 Jul
inferno13–10-0.0212%28 Jun
inferno13–60.0420%28 Jun
ancient10–130.0313%28 Jun
dust211–130.0111%28 Jun
dust28–130.0027%23 Jun
mirage13–90.0617%23 Jun
inferno13–90.0713%23 Jun
dust213–60.0918%23 Jun
inferno6–130.0120%22 Jun
inferno13–7-0.0120%15 Jun
mirage7–130.0716%15 Jun
overpass13–8-0.0411%15 Jun
ancient13–9-0.0110%14 Jun
dust210–13-0.0015%12 Jun
inferno13–5-0.017%12 Jun
mirage11–130.0416%12 Jun
ancient7–13-0.0113%12 Jun
nuke7–13-0.027%12 Jun
inferno7–130.0517%4 Jun
inferno10–13-0.009%3 Jun
mirage13–110.0115%3 Jun
inferno13–50.0713%3 Jun
inferno13–110.0111%2 Jun
dust213–80.0014%2 Jun
mirage11–130.0111%2 Jun
inferno13–50.0915%2 Jun
mirage13–50.1310%31 May
dust213–80.0310%31 May
dust211–130.0618%30 May
dust213–10-0.0512%30 May
nuke15–150.0116%30 May
inferno6–13-0.0518%30 May
dust22–130.0031%25 May
nuke9–130.019%25 May
overpass13–70.0216%25 May
inferno16–120.0425%20 May
cache15–190.0419%20 May
overpass6–13-0.059%10 May
dust26–130.0419%10 May
dust213–100.0327%10 May
cache5–13-0.0119%29 Apr
inferno13–11-0.0115%19 Apr
dust211–13-0.0111%6 Apr
dust213–20.0232%6 Apr
inferno13–10-0.0318%6 Apr
dust26–13-0.0323%6 Apr
inferno13–80.0623%29 Mar
ancient13–50.0721%29 Mar
dust213–80.0917%29 Mar
inferno13–5-0.0317%29 Mar
ancient13–50.0415%29 Dec
mirage8–130.0024%28 Dec
inferno13–16-0.0321%20 Dec
train13–11-0.0320%16 Dec
mirage11–13-0.0216%11 Dec
nuke10–130.0533%7 Dec
ancient13–60.0221%7 Dec
train13–11-0.0315%22 Nov
dust213–70.0419%22 Nov
ancient13–10-0.0013%22 Nov
nuke13–5-0.0220%22 Nov
mirage10–13-0.038%21 Nov
overpass4–13-0.0117%16 Nov
nuke13–30.0636%11 Nov
nuke7–13-0.0414%4 Nov
dust213–6-0.0113%2 Nov
train13–100.0217%28 Oct
train13–70.0320%20 Oct
inferno4–13-0.0815%10 Oct
ancient13–100.0323%26 Sept
ancient13–50.0417%26 Sept
overpass13–10-0.0021%23 Sept
train16–19-0.0016%14 Sept
inferno11–13-0.0012%14 Sept
inferno13–8-0.079%24 Aug
train8–13-0.0224%24 Aug
inferno5–13-0.0617%24 Aug
inferno8–130.0136%12 Aug
mirage11–13-0.0614%5 Aug
nuke11–130.1015%31 Jul
dust216–14-0.0314%29 Jul
inferno13–60.0428%29 Jul
dust28–13-0.0415%29 Jul
dust213–4-0.0118%29 Jul
dust213–2-0.0532%28 Jul
overpass8–13-0.0410%25 Jul

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 →