BiggBeezyMack

BiggBeezyMack — CS2 Stats

76561197966752500[U:1:6486772]Steam profile ↗✓ No bans

1,549Tracked matches43%Win rate2020Tracked since
CSDB Rating5.1 DevelopingSupport
Premier CS Rating12,954Blue band · top ~39.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (5 days ago). 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: 12,954 +4,110 2 Jan – 23 Oct · 22 days played
8,82413,696peak 13,6962 Jan23 Oct
13,949Peak Premier in tracked matches
35Days played since 2026-01-02

Premier CS Rating

  • 742 below peak (13,696)
  • +661 over 30 days · improving
  • Next: Purple band at 15,000 — 2,046 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGBiggBeezyMackPREMIER12,954 · Blue bandcsdb.gg/stats

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Performance scores

Aim66
Positioning52
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateLLLWLWWWLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +0.9pp headshot accuracy · +27ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 594ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 560ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 547ms

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: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim6.6
Utility6.4
Positioning5.2
Opening Duels1.2

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

ZywOo

Plays most like ZywOo 75% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

CT openings. Opening success drops from 45% on T to 28% on CT — first contacts on the defending side are being lost.

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

Aim6.6
Positioning5.2
Utility6.4
Mechanics6.3
Opening Duels1.9
Win Impact2.8

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time540ms−110ms
first ⅓ avg 650ms → last ⅓ avg 540ms
Headshot accuracy13.6%−1.3%
first ⅓ avg 14.9% → last ⅓ avg 13.6%

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

0.10Best match rating · 13–10 · inferno, 3 Jun →
31%Best headshot accuracy · 8–13 · nuke, 2 Jan →
406msFastest reaction time · 13–11 · ancient, 10 Jun →
13–3Biggest win · anubis, 14 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
13–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 71% over 21anubisWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB2512–1348%-0.00
mirageC2310–1343%-0.00
nukeS2115–671%0.00
ancientB178–947%-0.01
anubisC104–640%0.01
cache—20–20%-0.01
dust2—20–20%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

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

13.3%Headshot accuracy
36.9%Accuracy (enemy spotted)
36.2%Spray accuracy
78.2%Counter-strafing
10.9°Preaim
547msReaction time
45.0%T opening success
28.3%CT opening success
0.61Enemies flashed / flash
8.8%Flash assists
7.15HE damage / grenade
13.23Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.281% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 28.3005% — below the 40% mark we flag

Spend your practice time on Anubis

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache2–130.0316%23 Oct →
inferno7–13-0.0312%23 Oct →
nuke7–13-0.0413%23 Oct →
ancient13–4-0.0410%23 Oct →
dust27–130.0115%17 Oct →
mirage13–40.058%13 Oct →
inferno13–90.0015%13 Oct →
mirage13–40.0211%13 Oct →
nuke3–13-0.0515%13 Oct →
nuke16–140.0113%4 Oct →
dust214–16-0.0614%4 Oct →
mirage13–110.0415%25 Sept →
ancient6–13-0.0410%25 Sept →
nuke13–60.0421%25 Sept →
anubis7–13-0.048%23 Sept →
anubis13–11-0.0018%16 Sept →
ancient3–13-0.036%16 Sept →
nuke13–10-0.0112%16 Sept →
ancient13–50.027%14 Sept →
nuke7–130.028%14 Sept →
anubis13–30.0618%14 Sept →
mirage10–13-0.0117%14 Sept →
nuke13–5-0.0121%30 Aug →
mirage13–11-0.0010%30 Aug →
inferno10–13-0.0215%30 Aug →
mirage7–13-0.0217%30 Aug →
anubis14–160.089%30 Aug →
ancient7–130.034%17 Aug →
inferno6–13-0.0122%17 Aug →
ancient3–13-0.0223%11 Aug →
inferno13–60.0921%11 Aug →
mirage11–13-0.029%11 Aug →
inferno6–13-0.0018%11 Aug →
inferno13–80.025%6 Aug →
nuke13–4-0.0113%6 Aug →
mirage4–130.0514%6 Aug →
cache8–13-0.0516%6 Aug →
inferno4–13-0.049%6 Aug →
nuke13–6-0.067%31 Jul →
inferno13–5-0.018%24 Jul →
mirage6–13-0.066%24 Jul →
nuke13–70.0713%24 Jul →
ancient11–13-0.0717%24 Jul →
inferno13–7-0.0716%27 Jun →
inferno7–130.0110%24 Jun →
nuke13–7-0.0216%24 Jun →
mirage13–100.0116%24 Jun →
anubis8–130.0120%24 Jun →
nuke13–30.0112%21 Jun →
mirage10–130.0216%21 Jun →
nuke13–10-0.018%21 Jun →
nuke13–11-0.0514%10 Jun →
mirage5–13-0.079%10 Jun →
ancient13–11-0.058%10 Jun →
anubis4–13-0.0812%10 Jun →
mirage13–11-0.0210%10 Jun →
inferno13–100.1024%3 Jun →
mirage16–13-0.0211%3 Jun →
inferno11–13-0.0515%3 Jun →
mirage10–130.0218%24 May →
ancient13–110.0313%24 May →
mirage13–110.0313%24 May →
mirage11–13-0.0311%19 May →
nuke9–130.0613%17 May →
inferno11–130.048%17 May →
inferno13–110.0116%1 May →
inferno13–3-0.015%1 May →
inferno14–160.0111%1 May →
mirage13–110.0412%1 May →
ancient13–80.0512%1 May →
ancient7–13-0.0225%25 Apr →
anubis2–130.0222%25 Apr →
nuke9–130.0515%25 Apr →
inferno5–13-0.045%25 Apr →
inferno13–70.0110%11 Apr →
anubis13–70.0218%11 Apr →
mirage15–15-0.0111%11 Apr →
inferno8–13-0.0813%11 Apr →
nuke13–50.0513%11 Apr →
mirage11–13-0.049%25 Mar →
nuke13–60.0214%25 Mar →
ancient13–4-0.0016%19 Mar →
anubis13–90.0810%19 Mar →
inferno13–8-0.0114%19 Mar →
anubis8–13-0.0519%12 Mar →
mirage13–5-0.0018%12 Mar →
inferno15–150.0011%12 Mar →
ancient10–130.0210%10 Mar →
inferno13–9-0.0127%24 Jan →
nuke13–110.0218%23 Jan →
ancient14–16-0.0115%23 Jan →
mirage3–13-0.0119%22 Jan →
nuke13–40.027%19 Jan →
ancient13–7-0.0115%19 Jan →
ancient10–130.079%19 Jan →
mirage10–130.0116%9 Jan →
ancient13–8-0.0310%9 Jan →
nuke8–13-0.0231%2 Jan →
inferno13–110.0016%2 Jan →
inferno14–160.0220%2 Jan →

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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