꧁乂✰Lord Beerus✰乂꧂

꧁乂✰Lord Beerus✰乂꧂ — CS2 Stats

ZA76561199151875085[U:1:1191609357]Steam profile ↗✓ No bans

3,202Tracked matches24%Win rate2021Tracked since
3,727Hours in CS40Hrs last 2 wks
CSDB Rating3.1 LearningPositional Player
Premier CS Rating1,325Grey band · top ~94.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 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: 1,325 -394 21 Sept – 2 Nov · 31 days played
1,0001,719peak 1,71921 Sept2 Nov
1,806Peak Premier in tracked matches
30Days played since 2026-09-21

Premier CS Rating

  • 394 below peak (1,719)
  • +325 over 30 days · steady
  • Next: Light Blue band at 5,000 — 3,675 to go

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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate43.3%38.2%39.9%above
Shot accuracy9.3%3.6%7.0%above
Kill/death ratio0.720.830.920.20 short
Match win rate25.3%40.2%42.3%17.0% short

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG꧁乂✰Lord Beerus✰乂꧂PREMIER1,325 · Grey bandcsdb.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

Aim23
Positioning64
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY26–70–4Last 10026%Win rateWLWLWWWLLL

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · −5.4pp headshot accuracy · +29ms reaction

Win rate up 40pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 652ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 717ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 703ms

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 (+1.7 against its own average).

Aim2.3
Utility2.3
Positioning6.4
Opening Duels5.3

Limited utility dependence

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

s1mple

Plays most like s1mple 58% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

T openings. 73% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 73% on T to 47% on CT — first contacts on the defending side are being lost.

Reaction time. 682ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.3
Positioning6.4
Utility2.3
Mechanics3.1
Opening Duels7.1
Win Impact0.0

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time689ms−24ms
first ⅓ avg 712ms → last ⅓ avg 689ms
Headshot accuracy22.0%+2.9%
first ⅓ avg 19.1% → last ⅓ avg 22.0%

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

0.11Best match rating · 4–6 · mirage, 8 Oct →
67%Best headshot accuracy · 4–13 · dust2, 23 Oct →
484msFastest reaction time · 4–13 · dust2, 18 Oct →
13–2Biggest win · mirage, 2 Nov →

Across the last 100 tracked matches.

Highlights

3Longest win streak
6–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 67% over 15infernoWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
dust2D309–2130%-0.01
mirageD263–2312%-0.01
nukeS1510–567%0.00
infernoD111–109%-0.02
cacheD111–109%-0.03
anubis—41–325%-0.04
ancient—31–233%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

73,710Lifetime kills
0.72K/D
5,750Matches
25.3%Match win rate
43.3%Headshot % · Top 25% of Grey band
9.3%Shot accuracy · Top 50% of Grey band
5,260MVPs
2,222Hours (in match)
2,765Bombs planted
833Bombs defused

Most-used weapons

Lifetime map wins

19,758dust2
3,373inferno
3,226nuke
1,355vertigo
264train
62office
49cbble
44lake

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.

20.7%Headshot accuracy
28.8%Accuracy (enemy spotted)
23.6%Spray accuracy
63.7%Counter-strafing
13.1°Preaim
682msReaction time
73.5%T opening success
46.5%CT opening success
0.34Enemies flashed / flash
0.7%Flash assists
7.29HE damage / grenade
3.06Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.1206° — above the 12° mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3373 — below the 0.5 mark we flag

    Grenade Lineups →
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.

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–11-0.0314%2 Nov →
inferno9–13-0.0011%2 Nov →
mirage13–20.0018%2 Nov →
cache10–13-0.0227%1 Nov →
mirage16–140.0517%1 Nov →
nuke13–5-0.0024%1 Nov →
nuke13–60.057%1 Nov →
dust25–130.0519%1 Nov →
cache2–13-0.0218%1 Nov →
mirage2–13-0.0518%31 Oct →
dust28–130.0023%31 Oct →
mirage11–13-0.0120%31 Oct →
ancient15–15-0.0418%30 Oct →
nuke13–70.0630%29 Oct →
mirage9–130.0324%28 Oct →
dust26–13-0.0419%28 Oct →
mirage2–130.0026%27 Oct →
cache14–160.0021%27 Oct →
mirage3–13-0.0629%26 Oct →
mirage7–13-0.0415%26 Oct →
cache7–13-0.0125%26 Oct →
dust27–13-0.0210%24 Oct →
dust24–13-0.0632%24 Oct →
nuke9–13-0.0323%24 Oct →
cache8–13-0.0212%24 Oct →
nuke13–100.0216%24 Oct →
inferno5–13-0.0611%24 Oct →
dust24–13-0.0367%23 Oct →
mirage3–13-0.0321%23 Oct →
mirage8–130.0321%23 Oct →
inferno11–130.0115%22 Oct →
dust25–13-0.1025%22 Oct →
dust213–40.0350%22 Oct →
nuke13–50.0325%21 Oct →
mirage11–13-0.0511%21 Oct →
cache2–13-0.0910%21 Oct →
cache13–70.0618%20 Oct →
mirage7–13-0.0711%20 Oct →
dust29–13-0.0714%20 Oct →
nuke13–6-0.0013%19 Oct →
mirage9–13-0.1129%18 Oct →
inferno13–110.0327%18 Oct →
nuke13–10-0.0319%18 Oct →
dust214–160.0116%18 Oct →
dust24–13-0.0243%18 Oct →
mirage15–150.048%17 Oct →
mirage7–13-0.0218%17 Oct →
dust27–13-0.0238%17 Oct →
dust213–100.0328%17 Oct →
mirage13–50.0114%16 Oct →
dust210–130.0221%16 Oct →
dust22–13-0.0829%15 Oct →
anubis4–13-0.0944%15 Oct →
dust25–130.0331%15 Oct →
mirage10–13-0.0635%15 Oct →
inferno10–13-0.0124%14 Oct →
anubis1–13-0.055%14 Oct →
inferno9–130.0942%14 Oct →
ancient2–13-0.098%14 Oct →
cache4–13-0.106%14 Oct →
dust213–11-0.0133%13 Oct →
inferno4–13-0.0229%13 Oct →
inferno3–13-0.0414%13 Oct →
dust213–80.0427%12 Oct →
cache11–13-0.0816%12 Oct →
anubis13–100.0113%11 Oct →
nuke5–13-0.0424%11 Oct →
dust213–50.0442%11 Oct →
dust22–13-0.0213%11 Oct →
dust23–13-0.0821%11 Oct →
dust213–10-0.0519%11 Oct →
nuke1–13-0.0235%11 Oct →
mirage1–13-0.009%10 Oct →
dust25–130.0228%10 Oct →
dust213–5-0.1021%10 Oct →
cache15–150.0029%9 Oct →
dust216–130.0116%9 Oct →
inferno4–13-0.0325%9 Oct →
nuke6–130.0924%9 Oct →
mirage4–60.1122%8 Oct →
dust211–130.0716%8 Oct →
cache15–15-0.0022%8 Oct →
mirage8–130.0125%7 Oct →
mirage11–130.0615%7 Oct →
dust28–130.0324%7 Oct →
ancient13–2-0.0120%6 Oct →
nuke13–70.0628%6 Oct →
dust24–13-0.0621%6 Oct →
mirage4–13-0.068%6 Oct →
mirage2–13-0.0418%4 Oct →
nuke8–13-0.0324%4 Oct →
nuke13–11-0.0814%4 Oct →
dust26–130.0424%4 Oct →
inferno10–13-0.078%4 Oct →
dust213–110.0321%4 Oct →
anubis9–13-0.030%3 Oct →
inferno4–13-0.1214%3 Oct →
mirage4–13-0.0325%3 Oct →
mirage8–13-0.020%2 Oct →
mirage11–13-0.040%2 Oct →

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 →

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