Biggus Dickus

Biggus Dickus — CS2 Stats

KP76561198281722962[U:1:321457234]Steam profile ↗✓ No bans

721Tracked matches62%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating8,180Light Blue band · top ~63.6% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (8 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: 8,180 +1,685 19 Apr – 10 Oct · 17 days played
6,2998,180peak 8,18019 Apr10 Oct
8,180Peak Premier in tracked matches
56Days played since 2025-08-31

Premier CS Rating

  • At peak — 8,180
  • Next: Blue band at 10,000 — 1,820 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGBiggus DickusFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER8,180 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim53
Positioning57
Utility14

0–100 skill scores via Leetify.

Recent form

HOT46–50–4Last 10046%Win rateWWLWTWWLWW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +0.0pp headshot accuracy · −190ms reaction

Win rate up 20pp 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 656ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 617ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 711ms

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 (+2.3 against its own average).

Aim5.3
Utility1.4
Positioning5.7
Opening Duels3.0

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 81% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 727ms 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

Aim5.3
Positioning5.7
Utility1.4
Mechanics7.9
Opening Duels2.9
Win Impact9.0

Composite 4.8/10 (Developing), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time731ms−8ms
first ⅓ avg 739ms → last ⅓ avg 731ms
Headshot accuracy14.5%−0.2%
first ⅓ avg 14.7% → last ⅓ avg 14.5%

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

0.18Best match rating · 13–0 · nuke, 30 Jul →
29%Best headshot accuracy · 9–13 · dust2, 3 May →
453msFastest reaction time · 5–13 · ancient, 14 Aug →
13–0Biggest win · nuke, 30 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
8–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 64% over 28infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA2818–1064%0.02
dust2B209–1145%0.01
overpassD155–1033%-0.00
ancientC114–736%-0.02
anubisA74–357%-0.02
infernoD61–517%-0.04
trainD51–420%-0.01
cache—32–167%0.01
vertigo—31–233%0.05
mirage—21–150%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

66Matches
53%Win rate
1.26Avg K/D
—ADR
30%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWW

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.

14.3%Headshot accuracy
34.5%Accuracy (enemy spotted)
36.9%Spray accuracy
85.7%Counter-strafing
10.7°Preaim
727msReaction time
48.0%T opening success
35.2%CT opening success
0.07Enemies flashed / flash
0.0%Flash assists
9.73HE damage / grenade
0.59Flashes / 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 14.2931% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 727.1683ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.0659 — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–70.0128%10 Oct →
nuke13–60.0217%3 Oct →
anubis6–13-0.0510%26 Sept →
nuke16–13-0.0511%11 Sept →
ancient15–15-0.0414%10 Sept →
cache13–70.0214%9 Sept →
nuke13–40.0513%14 Aug →
ancient5–13-0.057%14 Aug →
ancient16–14-0.0314%30 Jul →
dust213–10.0712%30 Jul →
nuke13–00.1821%30 Jul →
nuke13–70.0912%24 Jul →
dust213–40.0222%24 Jul →
mirage6–13-0.0511%10 Jul →
dust210–13-0.0412%10 Jul →
ancient5–13-0.067%10 Jul →
cache11–13-0.0017%10 Jul →
mirage13–30.0515%10 Jul →
nuke8–13-0.037%7 Jun →
dust213–100.0016%1 Jun →
nuke13–50.0615%1 Jun →
overpass7–13-0.0318%24 May →
anubis13–8-0.0211%23 May →
nuke16–120.0413%22 May →
ancient14–16-0.0117%22 May →
ancient7–130.0411%19 May →
dust211–70.0025%19 May →
nuke13–90.0215%19 May →
overpass9–13-0.0112%18 May →
ancient13–20.1016%18 May →
inferno8–13-0.0210%16 May →
nuke10–13-0.0025%16 May →
overpass13–50.0411%9 May →
inferno3–9-0.178%9 May →
vertigo8–80.0414%9 May →
nuke4–13-0.0816%9 May →
nuke9–13-0.0112%9 May →
dust216–14-0.0111%8 May →
vertigo3–90.0516%8 May →
nuke10–13-0.0313%4 May →
anubis6–13-0.109%4 May →
dust216–140.0110%4 May →
dust213–110.0115%3 May →
overpass5–130.0119%3 May →
dust29–13-0.0529%3 May →
anubis10–13-0.0319%3 May →
nuke13–100.0221%1 May →
nuke13–100.0115%24 Apr →
dust29–13-0.0118%24 Apr →
nuke13–20.0210%19 Apr →
overpass11–10.0613%19 Apr →
anubis13–11-0.0613%19 Apr →
nuke16–12-0.017%17 Apr →
ancient8–13-0.0927%5 Apr →
overpass13–100.0211%5 Apr →
dust24–13-0.037%4 Apr →
overpass9–130.0310%4 Apr →
anubis13–40.0815%3 Apr →
nuke13–8-0.017%28 Mar →
inferno7–13-0.0518%28 Mar →
nuke6–130.0716%27 Mar →
anubis13–70.047%27 Mar →
dust213–70.068%26 Mar →
ancient13–8-0.0314%14 Mar →
dust27–130.0817%14 Mar →
ancient15–15-0.0320%13 Mar →
nuke10–13-0.0219%12 Mar →
overpass9–130.0015%7 Mar →
dust25–13-0.0615%7 Mar →
nuke8–130.0410%7 Mar →
dust23–130.0016%7 Mar →
nuke6–13-0.0111%28 Feb →
inferno1–13-0.0419%28 Feb →
ancient16–130.0224%28 Feb →
nuke13–50.0311%26 Jan →
train6–130.0215%6 Jan →
dust214–16-0.0216%31 Dec →
vertigo13–80.058%30 Dec →
inferno13–30.0714%30 Dec →
overpass7–13-0.0410%25 Dec →
overpass13–60.0715%11 Dec →
dust28–130.0320%10 Dec →
dust213–90.026%26 Nov →
inferno7–13-0.0118%24 Nov →
train0–13-0.0624%17 Nov →
nuke13–90.0411%17 Nov →
overpass5–13-0.0121%6 Nov →
nuke13–11-0.0420%29 Oct →
nuke2–13-0.0718%20 Oct →
overpass15–150.028%16 Oct →
dust211–130.0411%16 Oct →
train10–130.0213%7 Oct →
dust24–13-0.0315%7 Oct →
train2–7-0.0127%22 Sept →
nuke13–10.118%22 Sept →
overpass13–80.0310%9 Sept →
nuke9–90.1122%9 Sept →
overpass2–9-0.1517%9 Sept →
train13–11-0.0114%2 Sept →
overpass11–13-0.086%31 Aug →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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