Beasty [ZF]

Beasty [ZF] — CS2 Stats

GB76561198080662139[U:1:120396411]Steam profile ↗✓ No bans

1,082Tracked matches60%Win rate2020Tracked since
5,515Hours in CS0Hrs last 2 wks
CSDB Rating6.5 SolidPositional Player
CSDB Leaderboard#79749 of 223083 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify
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. 66 days played since 8 Nov 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 19,623 +2,582 14 Dec24 Jun · 13 days played
17,04125,834peak 25,83414 Dec24 Jun
25,834Peak Premier in tracked matches
66Days played since 2024-11-08

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 Level 9 among CSDB-tracked players (n=12,569), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate43.1%48.3%51.0%7.9% short
Shot accuracy16.0%13.2%13.7%above
Kill/death ratio0.941.071.090.15 short
Match win rate51.2%46.9%48.4%above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBeasty [ZF]FACEITLevel 9STANDINGTop 20.7% of rankedcsdb.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
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY53461Last 10053%Win rateWWLWLLLWWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +2.8pp headshot accuracy · −50ms reaction

Win rate down 20pp 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 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 481ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 536ms

Last 20

  • 128 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 561ms

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 (+1.3 against its own average).

Aim7.3
Utility5.6
Positioning6.1
Opening Duels3.3
Clutch4.0

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

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

T-side openings. Opening success drops from 49% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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
Utility5.6
Mechanics7.4
Opening Duels2.8
Win Impact8.3

Composite 6.5/10 (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+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time571ms−7ms
first ⅓ avg 578ms → last ⅓ avg 571ms
Headshot accuracy17.2%−4.3%
first ⅓ avg 21.5% → last ⅓ avg 17.2%

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

0.20Best match rating · 13–1 · ancient, 19 Nov
47%Best headshot accuracy · 11–13 · inferno, 2 Mar
438msFastest reaction time · 13–10 · nuke, 25 Jul
13–0Biggest win · mirage, 21 Mar

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
1111In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 86% over 7dust2Weakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
dust2D2171433%-0.01
mirageB21101148%0.01
infernoA1912763%0.02
ancientS139469%0.04
anubisC94544%-0.02
cacheS76186%0.03
overpass41325%0.01
nuke330100%0.04
train31233%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

109,966Lifetime kills
0.94K/D
4,313Matches
51.2%Match win rate · Top 25% of Level 9 players
43.1%Headshot %
16.0%Shot accuracy · Top 50% of Level 9 players
12,194MVPs
2,880Hours (in match)
6,511Bombs planted
1,728Bombs defused

Most-used weapons

AK-4740,001
AWP16,030
P2502,942
FAMAS1,840
Knife1,696
MAC-101,580

Lifetime map wins

8,421dust2
8,121inferno
2,865nuke
2,265train
1,543cbble
1,382vertigo
123office
46lake

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

Faceit stats

Combat

1,296Matches
51%Win rate
1.12Avg K/D
75.7ADR
40%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage8946%1.3116.4
Ancient7959%1.1515.2
Inferno4850%1.3016.2
Dust24529%1.0515.0
Cache4370%1.3116.6
Anubis2124%0.9013.2
Overpass1493%1.4317.4
Nuke1346%1.2914.8

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.

17.1%Headshot accuracy
34.7%Accuracy (enemy spotted)
34.0%Spray accuracy
83.4%Counter-strafing
8.9°Preaim
564msReaction time
33.0%T opening success
49.3%CT opening success
0.62Enemies flashed / flash
4.4%Flash assists
10.25HE damage / grenade
11.21Flashes / 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 32.9878% — below the 40% mark we flag

Spend your practice time on Dust 2

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 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust216–120.0515%29 Aug
inferno13–40.0727%3 Aug
dust21–13-0.0318%3 Aug
nuke13–100.0513%25 Jul
mirage6–130.0714%19 Jul
anubis11–13-0.0225%18 Jul
mirage8–13-0.0519%13 Jul
ancient13–100.0121%12 Jul
cache13–11-0.0010%10 Jul
dust23–13-0.0429%10 Jul
ancient13–20.0620%6 Jul
mirage13–10-0.055%4 Jul
inferno7–13-0.0325%2 Jul
cache13–30.0711%27 Jun
cache13–40.0523%26 Jun
ancient13–100.1119%24 Jun
dust25–13-0.0117%22 Jun
inferno10–130.0217%21 Jun
dust213–40.0210%16 Jun
cache16–140.0018%13 Jun
ancient13–30.0115%12 Jun
dust210–130.0416%7 Jun
ancient13–80.026%7 Jun
inferno13–40.0311%5 Jun
overpass13–80.0012%30 May
dust213–3-0.0124%30 May
anubis5–13-0.0515%21 May
mirage13–60.0612%21 May
overpass9–130.0028%21 May
cache11–13-0.0120%21 May
mirage4–13-0.0516%17 May
inferno9–130.0516%17 May
dust214–160.0221%17 May
cache9–10.0717%17 May
anubis4–13-0.0318%17 May
mirage13–10.1636%11 May
dust213–110.0328%11 May
mirage14–160.0211%11 May
cache13–70.0014%29 Apr
anubis1–13-0.0725%4 Apr
inferno13–9-0.0224%27 Feb
mirage13–60.0014%6 Feb
anubis13–90.0316%2 Feb
anubis11–13-0.0823%25 Jan
ancient9–130.0711%10 Dec
inferno8–80.0326%10 Dec
overpass7–130.0420%8 Dec
overpass12–16-0.0115%19 Nov
ancient13–10.2014%19 Nov
inferno13–20.0817%16 Nov
nuke13–70.0427%27 Sept
inferno13–110.0715%22 Sept
train11–130.0024%14 Sept
mirage13–16-0.0314%17 Jul
ancient11–13-0.0216%8 Jun
mirage5–13-0.0512%18 May
ancient13–10-0.0210%18 May
inferno13–6-0.0522%5 May
inferno16–13-0.0130%30 Apr
dust29–13-0.0232%30 Apr
dust211–130.0013%29 Apr
inferno8–13-0.019%22 Apr
dust22–13-0.0123%19 Apr
inferno16–140.0021%19 Apr
nuke13–100.0321%18 Apr
dust210–13-0.0620%18 Apr
mirage13–11-0.0019%18 Apr
dust24–13-0.0320%15 Apr
mirage9–13-0.0517%13 Apr
anubis16–140.039%13 Apr
mirage13–90.0114%12 Apr
dust213–11-0.028%12 Apr
dust24–13-0.0819%10 Apr
ancient10–13-0.0213%8 Apr
dust23–13-0.0538%8 Apr
mirage9–13-0.0423%8 Apr
mirage13–4-0.0035%6 Apr
dust210–130.0435%5 Apr
train3–130.0525%5 Apr
ancient7–13-0.1012%5 Apr
dust213–70.019%21 Mar
mirage13–00.1123%21 Mar
dust23–13-0.0521%21 Mar
dust213–60.0219%21 Mar
anubis13–7-0.0020%17 Mar
inferno13–100.0616%17 Mar
ancient13–50.1318%2 Mar
inferno11–13-0.0047%2 Mar
mirage7–13-0.0230%26 Feb
mirage13–50.0317%24 Feb
inferno13–50.0623%24 Feb
inferno9–50.1234%27 Jan
mirage11–130.069%6 Jan
inferno13–11-0.0218%6 Jan
mirage13–11-0.0221%27 Dec
mirage4–13-0.0414%14 Dec
ancient13–60.0521%14 Dec
train13–11-0.0530%2 Dec
inferno11–13-0.0328%12 Nov
anubis13–80.0423%8 Nov

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 →