Mr big D

Mr big D — CS2 Stats

UM76561198010171247[U:1:49905519]Steam profile ↗✓ No bans

2,699Tracked matches43%Win rate2020Tracked since
CSDB Rating3.4 LearningSupport
Premier CS Rating11,380Blue band · top ~47.6% of ranked players (population est.)
FaceitLevel 4 · 674 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 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: 11,380 -3,938 28 Aug – 6 Nov · 21 days played
9,09615,703peak 15,70328 Aug6 Nov
Faceit ELO: 674 +0 28 Aug – 7 Sept · 5 observations
674674peak 67428 Aug7 Sept
15,703Peak Premier in tracked matches
674Highest Faceit ELO seen on CSDB
20Days played since 2026-08-28

Faceit ELO

  • At peak — 674
  • Next: Level 3 at 751 — 77 to go
  • Reached: Level 2
  • Level 2 first seen 2026-08-28

Premier CS Rating

  • 4,323 below peak (15,703)
  • +420 over 30 days · improving
  • Next: Purple band at 15,000 — 3,620 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGMr big DFACEITLevel 4 · 674 ELOSTANDINGTop 81.0% of rankedPREMIER11,380 · Blue bandPEAK ELO674csdb.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

Aim38
Positioning22
Utility55

0–100 skill scores via Leetify.

Recent form

COLD43–50–7Last 10043%Win rateWLLWLLWLLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −1.8pp headshot accuracy · +52ms 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 10%
  • Avg reaction 652ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 635ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 609ms

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 (+2.8 against its own average).

Aim3.8
Utility5.5
Positioning2.2
Opening Duels0.0
Clutch3.2

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 73% 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

Reaction time. 636ms 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

Aim3.8
Positioning2.2
Utility5.5
Mechanics6.4
Opening Duels0.0
Win Impact2.6

Composite 3.4/10 (Learning), 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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time630ms+67ms
first ⅓ avg 563ms → last ⅓ avg 630ms
Headshot accuracy11.2%−2.3%
first ⅓ avg 13.6% → last ⅓ avg 11.2%

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, 24 Oct →
32%Best headshot accuracy · 7–13 · dust2, 29 Oct →
414msFastest reaction time · 8–13 · dust2, 27 Sept →
13–0Biggest win · mirage, 31 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 67% over 9ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C3113–1842%-0.02
cacheB147–750%0.00
mirageD134–931%-0.01
infernoB136–746%-0.02
nukeS96–367%-0.00
anubisA95–456%-0.01
ancientD72–529%-0.02
overpass—20–20%-0.06
vertigo—10–10%-0.05
train—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

424Matches
50%Win rate
1.00Avg K/D
72.5ADR
37%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage7161%1.0013.8
Dust26057%0.9213.2
Nuke3741%1.1515.3
Ancient3656%1.0615.5
Inferno2548%0.8711.7
Anubis2124%1.0315.3
Cache1060%1.0113.1
Overpass650%0.689.0

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.

11.1%Headshot accuracy
29.3%Accuracy (enemy spotted)
29.6%Spray accuracy
78.8%Counter-strafing
10.8°Preaim
636msReaction time
20.3%T opening success
20.6%CT opening success
0.54Enemies flashed / flash
3.2%Flash assists
10.73HE damage / grenade
11.53Flashes / 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 11.0751% — below the 15% mark we flag

    Aim Training →
  2. 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 20.2875% — below the 40% mark we flag

Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–70.0110%6 Nov →
cache10–130.038%6 Nov →
mirage6–13-0.058%6 Nov →
inferno13–20.028%6 Nov →
dust25–13-0.0317%6 Nov →
dust27–13-0.039%2 Nov →
dust213–10-0.0013%2 Nov →
mirage11–13-0.058%2 Nov →
cache7–13-0.0810%1 Nov →
inferno9–13-0.087%1 Nov →
cache12–12-0.0411%1 Nov →
dust29–13-0.0915%31 Oct →
dust210–13-0.047%31 Oct →
dust213–10-0.046%31 Oct →
dust213–6-0.0716%31 Oct →
mirage13–00.0816%31 Oct →
overpass4–13-0.0610%31 Oct →
vertigo4–13-0.0520%31 Oct →
nuke10–13-0.084%31 Oct →
anubis13–9-0.0312%31 Oct →
dust213–9-0.0211%31 Oct →
mirage13–7-0.078%30 Oct →
dust213–80.0512%30 Oct →
dust27–13-0.0232%29 Oct →
inferno13–11-0.0511%27 Oct →
dust29–13-0.0313%27 Oct →
mirage15–15-0.029%26 Oct →
inferno7–13-0.106%26 Oct →
overpass4–13-0.0511%26 Oct →
dust213–10-0.0612%26 Oct →
dust213–90.0315%26 Oct →
dust213–4-0.029%26 Oct →
nuke13–80.008%25 Oct →
mirage15–15-0.0019%25 Oct →
dust28–13-0.044%25 Oct →
ancient15–15-0.0314%25 Oct →
inferno13–10-0.0412%25 Oct →
mirage5–13-0.1015%25 Oct →
dust28–13-0.0513%25 Oct →
dust213–40.0716%25 Oct →
nuke16–130.0812%24 Oct →
anubis16–13-0.0111%24 Oct →
cache13–80.0420%24 Oct →
dust213–110.0521%24 Oct →
nuke11–13-0.0410%24 Oct →
cache13–90.087%24 Oct →
mirage13–100.0511%24 Oct →
ancient13–11-0.0813%24 Oct →
nuke13–70.009%24 Oct →
inferno10–13-0.0328%24 Oct →
mirage6–130.037%24 Oct →
anubis15–15-0.037%24 Oct →
inferno13–100.1015%24 Oct →
anubis9–13-0.0311%23 Oct →
nuke13–80.036%23 Oct →
inferno12–16-0.0014%23 Oct →
dust24–13-0.0128%22 Oct →
anubis2–8-0.0310%22 Oct →
anubis14–160.0510%20 Oct →
cache10–13-0.079%20 Oct →
cache13–30.0814%20 Oct →
dust28–130.0221%20 Oct →
ancient16–140.0115%20 Oct →
train4–12-0.034%20 Oct →
cache13–5-0.0413%20 Oct →
cache15–15-0.0018%20 Oct →
cache13–90.006%20 Oct →
cache13–11-0.0017%19 Oct →
dust213–110.0224%19 Oct →
nuke13–8-0.0117%19 Oct →
ancient15–15-0.0113%19 Oct →
nuke9–13-0.0313%19 Oct →
dust24–130.0111%19 Oct →
cache13–60.0714%19 Oct →
dust21–13-0.1013%19 Oct →
dust26–13-0.0210%19 Oct →
cache8–13-0.056%19 Oct →
cache11–13-0.0111%19 Oct →
anubis13–90.045%18 Oct →
ancient3–130.041%18 Oct →
inferno13–80.0013%18 Oct →
inferno11–13-0.066%30 Sept →
ancient10–13-0.0610%30 Sept →
mirage12–160.064%30 Sept →
mirage8–13-0.0225%30 Sept →
inferno13–80.0221%30 Sept →
nuke13–110.0514%29 Sept →
mirage6–13-0.0415%28 Sept →
inferno11–13-0.0813%28 Sept →
anubis13–9-0.0722%28 Sept →
inferno7–13-0.027%27 Sept →
dust29–130.0414%27 Sept →
ancient4–13-0.0111%27 Sept →
dust28–13-0.0713%27 Sept →
mirage16–14-0.0117%27 Sept →
dust27–13-0.0415%27 Sept →
dust213–80.0110%27 Sept →
dust210–130.0522%26 Sept →
dust28–13-0.0617%26 Sept →
anubis13–20.0624%26 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.