Beast

Beast — CS2 Stats

PK76561198366731004[U:1:406465276]Steam profile ↗✓ No bans

1,680Tracked matches48%Win rate2023Tracked since
8,159Hours in CS31Hrs last 2 wks
CSDB Rating6.9 SolidPositional Player
Premier CS Rating19,774Top 50% of 215,558 CSDB-tracked playersPurple band · top ~9.4% of ranked players (population est.)
CSDB Leaderboard#90459 of 261675 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). 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: 19,774 +5,428 1 Jul – 14 Nov · 38 days played
14,01720,940peak 20,9401 Jul14 Nov
20,940Peak Premier in tracked matches
2,138Highest Faceit ELO seen on CSDB
54Days played since 2026-06-27

Premier CS Rating

  • 1,166 below peak (20,940)
  • -225 over 30 days · steady
  • +615 over 90 days
  • Next: Pink band at 20,000 — 226 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-08
  • Purple band first seen 2026-09-08

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=31,884), 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 10 median
Headshot rate46.6%50.9%
Shot accuracy11.3%13.7%
Kill/death ratio0.951.09
Match win rate39.1%48.4%

Share this profile

CSDB.GGBeastFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER19,774 · Purple bandPEAK ELO2,138csdb.gg/stats

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Performance scores

Aim86
Positioning67
Utility49

0–100 skill scores via Leetify.

Recent form

COLD48–50–2Last 10048%Win rateWLLLTWWLLL

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · −1.3pp headshot accuracy · +10ms reaction

Win rate down 30pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 589ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 577ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 572ms

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 (+1.4 against its own average).

Aim8.6
Utility4.9
Positioning6.7
Opening Duels5.7
Clutch3.8

Sharp aimer

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 92% playstyle similarity

Most alike: opening-duel success, 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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

T openings. 65% 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

Aim8.6
Positioning6.7
Utility4.9
Mechanics6.9
Opening Duels7.7
Win Impact4.4

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 rating0.04+0.02
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time572ms−40ms
first ⅓ avg 612ms → last ⅓ avg 572ms
Headshot accuracy23.2%−6.1%
first ⅓ avg 29.3% → last ⅓ avg 23.2%

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

0.22Best match rating · 13–6 · nuke, 26 Aug →
83%Best headshot accuracy · 0–13 · mirage, 17 Sept →
328msFastest reaction time · 1–13 · anubis, 15 Aug →
13–0Biggest win · anubis, 10 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 76% over 25infernoWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
mirageS2519–676%0.04
dust2D206–1430%0.03
ancientC146–843%0.01
infernoD133–1023%0.04
anubisC114–736%0.04
cacheA85–363%0.02
nukeS75–271%0.09
train—10–10%0.04
vertigo—10–10%-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

248,995Lifetime kills
0.95K/D
11,655Matches
39.1%Match win rate
46.6%Headshot %
11.3%Shot accuracy
35,248MVPs
5,230Hours (in match)
9,153Bombs planted
5,031Bombs defused

Most-used weapons

AK-4777,030
AWP50,316
Knife5,756
SSG 085,143
P2504,538
UMP-452,405

Lifetime map wins

14,382inferno
13,401dust2
5,753nuke
4,786train
2,794vertigo
2,176cbble
399safehouse
287lake

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

Faceit stats

Combat

1,317Matches
50%Win rate
1.08Avg K/D
82.4ADR
51%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage25351%1.1117.1
Dust219848%1.0216.7
Ancient13747%1.0316.5
Anubis11847%1.1117.9
Inferno8051%1.0616.2
Nuke7358%1.1118.1
Overpass1850%1.0315.7
Vertigo1669%1.4020.8

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.

23.3%Headshot accuracy
38.0%Accuracy (enemy spotted)
39.7%Spray accuracy
81.2%Counter-strafing
8.9°Preaim
559msReaction time
65.3%T opening success
56.4%CT opening success
0.52Enemies flashed / flash
3.6%Flash assists
6.98HE damage / grenade
9.48Flashes / match

Recommended for you

Spend your practice time on Inferno

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–5-0.0311%14 Nov →
anubis6–13-0.0229%14 Nov →
ancient5–130.0121%12 Nov →
inferno7–13-0.0024%11 Nov →
nuke15–150.0218%11 Nov →
mirage13–70.0114%11 Nov →
mirage13–10-0.0229%11 Nov →
inferno10–130.0630%11 Nov →
inferno10–130.1214%5 Nov →
dust21–13-0.0326%5 Nov →
anubis13–70.1116%5 Nov →
dust211–130.0826%4 Nov →
anubis16–130.0720%4 Nov →
dust213–90.0927%1 Nov →
inferno6–130.0135%1 Nov →
mirage11–130.0319%31 Oct →
ancient3–13-0.0326%31 Oct →
nuke13–20.1522%28 Oct →
dust213–11-0.0116%28 Oct →
mirage16–140.0624%28 Oct →
anubis7–13-0.0027%27 Oct →
inferno13–70.0923%27 Oct →
ancient8–130.0125%25 Oct →
dust24–130.0313%24 Oct →
mirage13–110.0625%22 Oct →
ancient7–13-0.0145%21 Oct →
dust22–130.0723%20 Oct →
ancient13–110.0922%20 Oct →
ancient13–100.0221%14 Oct →
mirage13–60.2231%8 Oct →
train10–130.0438%7 Oct →
dust20–13-0.030%6 Oct →
inferno13–80.0826%5 Oct →
cache5–13-0.0523%5 Oct →
inferno5–130.0639%30 Sept →
mirage13–10-0.0224%26 Sept →
dust28–13-0.0533%26 Sept →
inferno5–130.0728%26 Sept →
mirage0–80.0146%26 Sept →
ancient2–13-0.1244%26 Sept →
anubis11–130.0923%24 Sept →
mirage13–60.0314%24 Sept →
nuke13–90.1629%23 Sept →
mirage0–13-0.0983%17 Sept →
anubis13–20.0633%16 Sept →
nuke13–100.0529%9 Sept →
mirage13–40.1129%6 Sept →
ancient11–130.1323%5 Sept →
ancient7–130.0317%4 Sept →
dust20–130.0283%4 Sept →
ancient8–13-0.0034%2 Sept →
cache6–00.1025%2 Sept →
dust213–60.1052%2 Sept →
mirage16–13-0.0323%2 Sept →
dust28–130.0733%29 Aug →
ancient13–100.0219%27 Aug →
nuke13–60.2225%26 Aug →
cache3–130.0162%26 Aug →
cache13–40.1022%25 Aug →
inferno13–10.0233%23 Aug →
nuke13–20.0113%23 Aug →
inferno12–120.1737%21 Aug →
anubis1–13-0.1018%15 Aug →
ancient7–3-0.0624%15 Aug →
mirage13–20.0622%12 Aug →
mirage6–130.0152%12 Aug →
cache13–10.0333%2 Aug →
mirage13–10.0131%2 Aug →
mirage13–11-0.0124%2 Aug →
dust213–40.0348%1 Aug →
mirage13–30.1536%29 Jul →
mirage1–4-0.0825%29 Jul →
mirage13–60.0328%29 Jul →
dust210–130.1226%29 Jul →
anubis6–130.0437%22 Jul →
dust22–13-0.0418%20 Jul →
inferno4–13-0.0122%15 Jul →
inferno2–13-0.0521%13 Jul →
cache5–13-0.0129%13 Jul →
mirage13–40.1532%13 Jul →
ancient13–20.0423%13 Jul →
anubis12–160.0132%13 Jul →
dust27–13-0.0330%12 Jul →
mirage13–110.0239%11 Jul →
dust213–80.0121%11 Jul →
ancient13–110.0427%10 Jul →
mirage13–40.0321%10 Jul →
anubis13–00.1122%10 Jul →
nuke11–130.0327%10 Jul →
cache13–5-0.0132%9 Jul →
dust213–20.0429%9 Jul →
vertigo3–9-0.0940%8 Jul →
mirage11–130.1233%5 Jul →
inferno8–13-0.0730%2 Jul →
anubis9–130.0323%2 Jul →
dust26–130.0626%1 Jul →
mirage13–80.0723%1 Jul →
mirage13–7-0.0333%1 Jul →
dust211–130.0942%27 Jun →
dust29–130.0538%27 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
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.