Big Dude

Big Dude — CS2 Stats

CF76561199095191021[U:1:1134925293]Steam profile ↗✓ No bans

648Tracked matches47%Win rate2020Tracked since
528Hours in CS
CSDB Rating5.6 SolidAll-Rounder
Premier CS Rating11,254Blue band · top ~48.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 648 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,254 +5,005 4 Aug – 17 Oct · 31 days played
6,24912,084peak 12,0844 Aug17 Oct
12,084Peak Premier in tracked matches
28Days played since 2026-08-04

Premier CS Rating

  • 830 below peak (12,084)
  • 0 over 30 days · steady
  • Next: Purple band at 15,000 — 3,746 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-15
  • Light Blue band first seen 2026-09-15

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

Compare periods

Last 30 days vs previous 30

No matches recorded between 17 Oct 2026 and 14 Nov 2026.

Measured 17 Oct 2026 → 14 Nov 2026; previous 15 Sep 2026 → 17 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate43.1%42.0%44.4%1.3% short
Shot accuracy10.7%9.6%11.9%1.1% short
Kill/death ratio1.070.981.03above
Match win rate47.1%43.8%45.2%above

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

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBig DudePREMIER11,254 · Blue bandcsdb.gg/stats

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Performance scores

Aim70
Positioning58
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateLLLWWLLWLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +4.1pp headshot accuracy · −19ms reaction

Win rate −10pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 533ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 560ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 570ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.0
Utility5.5
Positioning5.8
Opening Duels5.0

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

m0NESY

Plays most like m0NESY 93% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Areas to improve

T-side openings. Opening success drops from 57% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 561ms 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

Aim7.0
Positioning5.8
Utility5.5
Mechanics6.5
Opening Duels4.4
Win Impact3.9

Composite 5.6/10 (Solid), 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 rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time563ms−47ms
first ⅓ avg 610ms → last ⅓ avg 563ms
Headshot accuracy16.9%+0.8%
first ⅓ avg 16.1% → last ⅓ avg 16.9%

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 · 13–1 · inferno, 14 Aug →
40%Best headshot accuracy · 7–1 · cache, 11 Aug →
375msFastest reaction time · 6–9 · inferno, 22 Aug →
13–0Biggest win · cache, 14 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
6–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 63% over 8mirageWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC208–1240%-0.00
ancientB179–853%0.00
dust2C167–944%0.01
cacheA159–660%0.01
nukeA148–657%0.01
mirageC83–538%-0.01
anubisA85–363%-0.00
office—11–0100%-0.08
train—11–0100%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,409Lifetime kills
1.07K/D · Top 50% of Blue band
1,713Matches
47.1%Match win rate · Top 25% of Blue band
43.1%Headshot % · Top 50% of Blue band
10.7%Shot accuracy · Top 50% of Blue band
3,457MVPs
528Hours (in match)
1,127Bombs planted
279Bombs defused

Most-used weapons

Lifetime map wins

2,705inferno
2,412dust2
1,069nuke
1,008vertigo
777office
296train
50cbble
17lake

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.

16.9%Headshot accuracy
34.2%Accuracy (enemy spotted)
38.9%Spray accuracy
79.4%Counter-strafing
10.1°Preaim
561msReaction time
38.0%T opening success
56.8%CT opening success
0.61Enemies flashed / flash
7.6%Flash assists
9.87HE damage / grenade
5.03Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 37.9854% — below the 40% mark we flag

Spend your practice time on Mirage

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0222%13 Oct →
inferno12–16-0.058%9 Sept →
cache3–130.0926%6 Sept →
ancient16–12-0.0115%6 Sept →
nuke13–70.0116%5 Sept →
cache4–13-0.0618%5 Sept →
nuke9–130.0332%5 Sept →
mirage13–10-0.0220%3 Sept →
anubis9–130.0214%30 Aug →
cache13–11-0.0823%29 Aug →
dust26–130.0119%29 Aug →
anubis13–50.0514%29 Aug →
inferno5–13-0.0918%26 Aug →
nuke13–9-0.0213%23 Aug →
ancient14–16-0.0514%23 Aug →
ancient14–160.018%23 Aug →
anubis13–10-0.0412%23 Aug →
inferno13–100.0120%23 Aug →
dust213–70.0422%22 Aug →
ancient10–130.0114%22 Aug →
cache13–90.0318%22 Aug →
inferno6–13-0.0322%22 Aug →
inferno6–9-0.1613%22 Aug →
anubis13–11-0.0010%22 Aug →
inferno13–50.0720%22 Aug →
dust210–13-0.0720%21 Aug →
ancient4–13-0.0513%21 Aug →
mirage13–30.0821%21 Aug →
ancient9–130.0716%21 Aug →
inferno10–130.0413%21 Aug →
office13–10-0.0819%20 Aug →
inferno13–10-0.0112%20 Aug →
dust210–13-0.0315%20 Aug →
nuke13–100.0318%19 Aug →
ancient8–3-0.0513%19 Aug →
inferno9–13-0.1012%19 Aug →
dust29–130.0228%19 Aug →
anubis16–14-0.058%18 Aug →
inferno13–40.0610%18 Aug →
cache10–13-0.0513%17 Aug →
train13–11-0.0213%17 Aug →
mirage13–6-0.0215%16 Aug →
nuke10–13-0.0418%16 Aug →
mirage4–13-0.0610%15 Aug →
nuke12–16-0.0015%15 Aug →
ancient13–2-0.005%14 Aug →
cache13–110.0612%14 Aug →
nuke13–70.0611%14 Aug →
ancient6–0-0.0530%14 Aug →
cache13–00.0922%14 Aug →
mirage12–120.049%14 Aug →
nuke11–13-0.0319%14 Aug →
inferno13–10.1414%14 Aug →
cache13–100.0715%13 Aug →
ancient10–13-0.077%13 Aug →
dust213–60.1017%13 Aug →
dust211–13-0.0916%13 Aug →
dust213–50.0716%13 Aug →
cache13–20.110%13 Aug →
ancient6–13-0.0513%13 Aug →
inferno8–13-0.0313%13 Aug →
dust214–16-0.047%12 Aug →
anubis10–13-0.0014%12 Aug →
nuke13–5-0.047%11 Aug →
dust213–20.0533%11 Aug →
ancient13–70.1117%11 Aug →
cache7–1-0.0540%11 Aug →
ancient13–60.068%10 Aug →
dust28–13-0.0117%10 Aug →
cache0–13-0.0613%10 Aug →
dust27–130.0111%10 Aug →
cache11–13-0.063%10 Aug →
anubis13–50.0514%10 Aug →
inferno13–60.0114%10 Aug →
cache13–10-0.0216%9 Aug →
nuke13–100.0525%9 Aug →
nuke13–10.0922%9 Aug →
ancient13–90.0313%9 Aug →
dust211–13-0.0333%9 Aug →
inferno8–130.0620%9 Aug →
inferno10–13-0.0315%8 Aug →
mirage7–13-0.066%8 Aug →
inferno13–8-0.009%8 Aug →
inferno10–130.0218%8 Aug →
nuke13–3-0.0131%8 Aug →
dust213–70.0514%8 Aug →
ancient13–80.1315%8 Aug →
nuke9–130.0419%8 Aug →
nuke9–13-0.0433%7 Aug →
inferno13–90.0918%7 Aug →
anubis10–13-0.0629%6 Aug →
dust213–4-0.0113%6 Aug →
inferno9–13-0.0618%6 Aug →
ancient13–110.0216%5 Aug →
cache13–50.0822%5 Aug →
ancient7–13-0.0511%5 Aug →
mirage7–130.0010%5 Aug →
mirage8–13-0.066%5 Aug →
cache6–13-0.065%4 Aug →
dust213–100.0216%4 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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