jimmy beast

jimmy beast — CS2 Stats

CG76561199045020097[U:1:1084754369]Steam profile ↗

722Tracked matches29%Win rate2020Tracked since
CSDB Rating5.7 SolidHybrid Rifler
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

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CSDB.GGjimmy beastFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim78
Positioning49
Utility54

0–100 skill scores via Leetify.

Recent form

COLD335314Last 10033%Win rateLWLLLLLLLL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.8
Aggression5.5
Utility5.4
Positioning4.9
Opening Duels2.7
Clutch1.8

Excellent counter-strafingStrong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 90% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

T-side openings. Opening success drops from 51% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 613ms 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

Aim7.8
Positioning4.9
Utility5.4
Mechanics8.5
Opening Duels2.7
Win Impact0.0

Composite 5.7/10 (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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time617ms−44ms
first ⅓ avg 662ms → last ⅓ avg 617ms
Headshot accuracy24.4%+1.6%
first ⅓ avg 22.8% → last ⅓ avg 24.4%

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.

Highlights

0.15Best rating — cache 13–10
131Biggest win — dust2
3Longest win streak
66In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 45% over 47nukeWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
cacheB47212645%0.01
dust2D1331023%0.02
mirageD82625%-0.02
nukeD71614%-0.02
vertigoD61517%-0.02
ancientD62433%-0.01
infernoD51420%0.01
train4040%-0.02
anubis32167%0.04
overpass1010%0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

46Matches
54%Win rate
0.81Avg K/D
68.5ADR
46%Headshot %

Clutches & streaks

29%1v1 clutch win
14%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke933%0.669.6
Mirage967%0.8313.4
Anubis425%1.0515.8
Train4100%0.808.8
Inferno450%0.5810.3
Dust2367%1.1817.0
Vertigo2100%1.1512.5
Ancient250%0.7414.0

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.

23.0%Headshot accuracy
34.1%Accuracy (enemy spotted)
35.9%Spray accuracy
88.1%Counter-strafing
9.3°Preaim
613msReaction time
30.9%T opening success
50.9%CT opening success
0.55Enemies flashed / flash
10.0%Flash assists
7.74HE damage / grenade
13.05Flashes / 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 30.9229% — below the 40% mark we flag

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.

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

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache0–50.0020%27 Jul
cache13–60.0428%22 Jul
dust25–13-0.0341%22 Jul
vertigo3–130.0223%11 Jul
cache3–7-0.0525%1 Jul
train4–13-0.0319%1 Jul
mirage8–130.0032%28 Jun
cache11–130.0217%28 Jun
inferno1–5-0.01100%27 Jun
ancient3–13-0.0846%22 Jun
train12–120.0517%21 Jun
dust212–12-0.0627%21 Jun
dust212–120.0520%21 Jun
train5–13-0.0924%21 Jun
ancient13–90.0644%20 Jun
vertigo6–13-0.0515%20 Jun
ancient9–13-0.0425%14 Jun
ancient4–13-0.0521%14 Jun
cache13–2-0.0137%13 Jun
dust214–16-0.0120%8 Jun
ancient13–30.0916%8 Jun
dust26–130.0317%8 Jun
nuke12–12-0.0120%7 Jun
nuke11–130.0217%7 Jun
cache13–100.1515%7 Jun
anubis13–50.1315%6 Jun
vertigo13–60.0517%6 Jun
vertigo7–13-0.085%30 May
dust212–120.0420%30 May
cache12–120.0119%27 May
cache6–13-0.115%26 May
dust212–12-0.0122%26 May
vertigo9–130.0417%26 May
ancient9–13-0.0434%23 May
cache4–13-0.0122%23 May
nuke5–13-0.0712%23 May
cache5–130.0018%23 May
mirage6–130.0122%23 May
cache12–12-0.0414%23 May
nuke12–12-0.0218%18 May
nuke13–11-0.0333%16 May
overpass9–130.0122%16 May
cache13–70.1032%16 May
cache13–100.0617%16 May
cache9–13-0.0411%16 May
cache13–110.0417%16 May
mirage9–13-0.0111%16 May
mirage1–13-0.106%13 May
cache12–120.1124%12 May
dust21–13-0.0223%12 May
cache13–6-0.0026%11 May
train6–13-0.0222%11 May
cache11–13-0.0314%11 May
cache13–60.0416%11 May
cache13–7-0.0218%11 May
mirage6–13-0.0456%9 May
cache1–13-0.0610%9 May
vertigo8–13-0.0722%9 May
dust213–50.1329%9 May
cache13–4-0.0010%9 May
inferno13–40.0616%9 May
dust26–130.0212%9 May
nuke10–130.0128%9 May
cache13–9-0.0617%9 May
dust213–10.0532%9 May
cache3–40.0414%8 May
cache13–80.0214%8 May
inferno12–12-0.0214%8 May
cache13–30.0514%8 May
dust28–13-0.0124%8 May
mirage12–12-0.0922%8 May
cache7–13-0.0119%8 May
cache13–30.1221%8 May
cache4–13-0.0911%7 May
cache13–10-0.0219%7 May
cache13–70.0314%7 May
cache3–00.00100%6 May
cache10–130.0631%5 May
cache8–13-0.0610%5 May
cache11–130.1022%5 May
cache13–100.0829%4 May
cache6–130.0319%4 May
mirage13–110.0726%3 May
cache4–13-0.0918%3 May
cache13–90.0529%3 May
cache6–130.0531%3 May
cache13–9-0.0115%3 May
cache5–13-0.0135%3 May
cache12–120.0028%2 May
cache7–130.0019%2 May
cache13–110.0119%2 May
cache7–13-0.0420%2 May
cache3–8-0.0029%2 May
nuke12–12-0.0711%27 Apr
anubis13–110.0317%26 Apr
mirage4–2-0.028%26 Apr
dust213–60.0330%26 Apr
inferno9–13-0.058%25 Apr
anubis1–13-0.0428%25 Apr
inferno9–130.0513%20 Apr

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 →