Highbeast

Highbeast — CS2 Stats

DE76561198120689077[U:1:160423349]Steam profile ↗✓ No bans

4,845Tracked matches36%Win rate2020Tracked since
4,247Hours in CS24Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating20,560Top 50% of 194,975 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#70806 of 242472 tracked
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−365Premier CS Rating · 20,925 → 20,560
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. 24 days played since 31 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 20,560 -4,221 31 Jul – 24 Sept · 24 days played
20,54524,781peak 24,78131 Jul24 Sept
24,886Peak Premier in tracked matches
24Days played since 2026-07-31

Premier CS Rating

  • 4,221 below peak (24,781)
  • -1,329 over 30 days · declining
  • Next: Red band at 25,000 — 4,440 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-07
  • Purple band first seen 2026-09-07

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 rate46.8%46.9%49.2%2.5% short
Shot accuracy10.3%13.0%13.3%3.0% short
Kill/death ratio1.051.081.120.07 short
Match win rate42.9%46.7%48.5%5.6% short

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

Widest gap: Shot accuracy. 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.

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CSDB.GGHighbeastPREMIER20,560 · Pink bandcsdb.gg/stats

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Performance scores

Aim67
Positioning69
Utility58

0–100 skill scores via Leetify.

Recent form

COLD34–62–4Last 10034%Win rateLTWLTWLLLL

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · +1.5pp headshot accuracy · −31ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–2–2 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 561ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 528ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 543ms

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 (+0.9 against its own average).

Aim6.7
Utility5.8
Positioning6.9
Opening Duels5.4

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 78% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 →

CSDB Rating breakdown

Aim6.7
Positioning6.9
Utility5.8
Mechanics6.1
Opening Duels5.9
Win Impact0.2

Composite 5.9/10 (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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time528ms−9ms
first ⅓ avg 537ms → last ⅓ avg 528ms
Headshot accuracy19.7%−4.1%
first ⅓ avg 23.7% → last ⅓ avg 19.7%

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

0.14Best match rating · 13–2 · dust2, 27 Aug →
50%Best headshot accuracy · 13–9 · nuke, 19 Aug →
383msFastest reaction time · 7–13 · dust2, 19 Sept →
13–1Biggest win · dust2, 19 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 43% over 7infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D4414–3032%0.01
nukeC229–1341%0.02
anubisC125–742%0.00
ancientC73–443%-0.02
cacheD62–433%0.02
infernoD51–420%-0.01
mirage—40–40%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,130Lifetime kills
1.05K/D
6,827Matches
42.9%Match win rate
46.8%Headshot %
10.3%Shot accuracy
15,118MVPs
2,376Hours (in match)
7,034Bombs planted
1,661Bombs defused

Most-used weapons

AK-4729,416
AWP10,861
MAC-103,530
MP93,451
SSG 082,598

Lifetime map wins

16,061dust2
7,500inferno
6,685nuke
3,003vertigo
1,130office
854train
248lake
222cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.2%Headshot accuracy
30.3%Accuracy (enemy spotted)
34.8%Spray accuracy
77.4%Counter-strafing
10.1°Preaim
534msReaction time
53.0%T opening success
53.8%CT opening success
0.62Enemies flashed / flash
9.7%Flash assists
7.19HE damage / grenade
8.58Flashes / 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–130.0213%24 Sept →
dust215–15-0.0132%23 Sept →
nuke13–80.0030%23 Sept →
dust28–13-0.0119%22 Sept →
nuke15–150.0816%22 Sept →
anubis13–11-0.0124%22 Sept →
inferno14–160.0425%22 Sept →
dust26–13-0.0310%19 Sept →
nuke9–130.0716%19 Sept →
nuke10–130.0418%19 Sept →
dust27–130.0017%19 Sept →
nuke13–40.0418%19 Sept →
dust25–13-0.0811%19 Sept →
dust213–10.0641%19 Sept →
dust213–70.0411%16 Sept →
dust26–13-0.0521%16 Sept →
nuke1–130.0113%13 Sept →
dust27–13-0.0012%13 Sept →
dust213–110.0122%13 Sept →
dust216–140.0222%11 Sept →
cache9–13-0.0614%11 Sept →
dust213–1-0.0423%11 Sept →
dust211–130.0224%11 Sept →
dust213–110.0118%11 Sept →
dust211–130.0124%11 Sept →
anubis16–120.0623%11 Sept →
mirage7–13-0.0538%11 Sept →
dust26–13-0.0314%11 Sept →
dust24–130.0623%10 Sept →
dust26–13-0.018%10 Sept →
cache13–110.0118%9 Sept →
anubis5–13-0.0214%9 Sept →
dust215–15-0.0416%9 Sept →
nuke13–50.0816%7 Sept →
anubis13–100.0124%7 Sept →
ancient15–150.0225%7 Sept →
dust28–13-0.0025%7 Sept →
dust24–13-0.0627%6 Sept →
ancient6–130.0022%6 Sept →
ancient13–7-0.0136%6 Sept →
nuke13–4-0.0023%6 Sept →
ancient13–110.0231%6 Sept →
cache13–70.0318%6 Sept →
nuke13–110.0528%6 Sept →
dust213–10.065%6 Sept →
dust27–13-0.0522%6 Sept →
anubis10–13-0.0416%6 Sept →
dust213–6-0.0218%6 Sept →
ancient11–13-0.0824%6 Sept →
mirage9–13-0.0817%6 Sept →
ancient13–110.0328%6 Sept →
dust28–13-0.0642%6 Sept →
dust213–9-0.0528%4 Sept →
dust212–160.0635%4 Sept →
cache10–130.0424%4 Sept →
nuke3–130.0222%4 Sept →
nuke16–140.0120%3 Sept →
nuke8–130.0214%2 Sept →
dust26–130.0438%2 Sept →
nuke10–130.0529%2 Sept →
nuke13–100.0322%2 Sept →
nuke6–13-0.0920%2 Sept →
nuke4–130.0915%1 Sept →
dust26–130.0828%1 Sept →
cache4–130.0330%1 Sept →
anubis5–13-0.0120%1 Sept →
anubis13–7-0.0433%28 Aug →
inferno13–30.0224%28 Aug →
dust213–10.1017%28 Aug →
dust28–130.0229%28 Aug →
cache10–130.0631%28 Aug →
nuke13–40.0737%28 Aug →
anubis6–30.0815%28 Aug →
dust213–10-0.0415%28 Aug →
inferno1–13-0.0833%28 Aug →
dust25–13-0.0421%28 Aug →
dust213–90.0517%27 Aug →
nuke5–130.0327%27 Aug →
mirage6–13-0.0026%27 Aug →
dust213–20.1424%27 Aug →
dust211–130.0417%26 Aug →
nuke11–130.0325%26 Aug →
dust213–50.0415%26 Aug →
anubis6–13-0.0518%26 Aug →
nuke2–13-0.0536%26 Aug →
dust25–13-0.0515%20 Aug →
dust214–160.0019%20 Aug →
anubis8–130.0125%19 Aug →
nuke13–9-0.0050%19 Aug →
nuke4–13-0.0425%19 Aug →
inferno3–13-0.0221%17 Aug →
anubis9–130.0526%17 Aug →
mirage8–130.0143%17 Aug →
anubis8–13-0.0425%16 Aug →
inferno9–13-0.0319%16 Aug →
dust27–13-0.0224%16 Aug →
ancient3–13-0.1320%15 Aug →
dust28–130.1114%15 Aug →
dust27–13-0.0213%31 Jul →
dust28–130.0117%31 Jul →

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 →