Madein Big Man

Madein Big Man — CS2 Stats

KR76561198070168241[U:1:109902513]Steam profile ↗✓ No bans

1,436Tracked matches63%Win rate2022Tracked since
1,237Hours in CS
CSDB Rating6.8 SolidPositional Player
Premier CS Rating22,195Top 50% of 215,386 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)
CSDB Leaderboard#54575 of 261515 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 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: 22,195 +995 30 Aug – 13 Nov · 22 days played
20,12623,814peak 23,81430 Aug13 Nov
23,814Peak Premier in tracked matches
21Days played since 2026-08-30

Premier CS Rating

  • 1,619 below peak (23,814)
  • -673 over 30 days · declining
  • Next: Red band at 25,000 — 2,805 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-30
  • Purple band first seen 2026-08-30

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 Level 8 among CSDB-tracked players (n=15,525), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate36.5%46.8%48.2%11.7% short
Shot accuracy7.0%13.0%13.2%6.2% short
Kill/death ratio1.101.061.07above
Match win rate47.8%46.3%46.9%meets

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMadein Big ManFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER22,195 · Pink 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

Aim80
Positioning76
Utility31

0–100 skill scores via Leetify.

Recent form

HOT56–43–1Last 10056%Win rateWWLWWWWLWW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −1.4pp headshot accuracy · −24ms 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 434ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 455ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 467ms

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 (+2.9 against its own average).

Aim8.0
Utility3.1
Positioning7.6
Opening Duels6.1
Clutch2.0

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 82% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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. 62% T opening-duel success — entries that actually open the round.

Areas to improve

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

Counter-strafing. Only 68% 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

Aim8.0
Positioning7.6
Utility3.1
Mechanics4.1
Opening Duels7.4
Win Impact9.4

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time469ms−26ms
first ⅓ avg 495ms → last ⅓ avg 469ms
Headshot accuracy13.2%+2.1%
first ⅓ avg 11.1% → last ⅓ avg 13.2%

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

0.18Best match rating · 9–6 · inferno, 8 Nov →
38%Best headshot accuracy · 13–8 · dust2, 31 Oct →
359msFastest reaction time · 8–13 · inferno, 13 Nov →
13–1Biggest win · inferno, 7 Nov →

Across the last 100 tracked matches.

Highlights

10Longest win streak
W2Current streak
1–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 92% over 13infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB2311–1248%0.00
dust2B199–1047%0.02
ancientA1911–858%0.01
anubisS1312–192%0.03
infernoD124–833%-0.01
cacheA85–363%-0.03
nukeS64–267%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,805Lifetime kills
1.10K/D · Top 50% of Level 8 players
2,917Matches
47.8%Match win rate · Top 50% of Level 8 players
36.5%Headshot %
7.0%Shot accuracy
6,305MVPs
1,237Hours (in match)
1,689Bombs planted
516Bombs defused

Most-used weapons

Lifetime map wins

9,742dust2
2,136inferno
1,888nuke
385train
221vertigo
149bank
127lake
91office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

86Matches
58%Win rate
1.26Avg K/D
88.9ADR
35%Headshot %

Clutches & streaks

30%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3053%1.3118.7
Dust22157%1.3418.4
Anubis978%1.2418.0
Cache862%1.1319.5
Inferno617%0.6811.8
Nuke650%1.2718.0
Ancient5100%1.4718.0
Overpass1100%1.4014.0

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.

13.4%Headshot accuracy
40.9%Accuracy (enemy spotted)
41.3%Spray accuracy
68.4%Counter-strafing
8.6°Preaim
471msReaction time
61.7%T opening success
57.6%CT opening success
0.39Enemies flashed / flash
7.5%Flash assists
4.78HE damage / grenade
3.11Flashes / 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 13.3692% — below the 15% 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 0.3928 — 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–2-0.053%13 Nov →
mirage13–100.0014%13 Nov →
inferno8–13-0.0214%13 Nov →
dust213–50.1224%13 Nov →
mirage13–30.0214%13 Nov →
anubis13–90.1018%13 Nov →
anubis13–60.089%12 Nov →
dust28–13-0.086%12 Nov →
ancient13–90.0413%12 Nov →
ancient13–9-0.0317%12 Nov →
dust213–70.0118%10 Nov →
mirage10–130.0614%10 Nov →
mirage4–13-0.0116%10 Nov →
nuke13–90.1114%10 Nov →
inferno6–13-0.0116%10 Nov →
ancient13–30.066%9 Nov →
anubis13–5-0.0020%9 Nov →
mirage13–10-0.0115%9 Nov →
nuke13–100.0111%9 Nov →
dust212–16-0.0317%8 Nov →
cache13–10-0.019%8 Nov →
dust210–130.0423%8 Nov →
ancient9–13-0.0112%8 Nov →
ancient13–70.016%8 Nov →
inferno9–60.1819%8 Nov →
cache13–3-0.0410%8 Nov →
mirage13–90.0612%8 Nov →
anubis8–13-0.099%8 Nov →
nuke0–10-0.0411%7 Nov →
ancient13–100.036%7 Nov →
mirage14–16-0.0619%7 Nov →
ancient10–13-0.0514%7 Nov →
anubis13–20.009%7 Nov →
mirage13–70.0515%7 Nov →
inferno13–10.0527%7 Nov →
dust210–130.0124%7 Nov →
ancient13–80.0811%7 Nov →
mirage9–13-0.0311%6 Nov →
mirage3–13-0.044%6 Nov →
mirage13–50.0317%6 Nov →
ancient11–13-0.0221%4 Nov →
dust213–10-0.0317%3 Nov →
inferno13–110.0415%1 Nov →
mirage10–13-0.0421%1 Nov →
ancient8–130.0618%1 Nov →
nuke13–50.1221%1 Nov →
inferno10–13-0.0513%1 Nov →
dust29–13-0.0421%1 Nov →
mirage10–130.0216%1 Nov →
dust213–70.0312%1 Nov →
ancient13–20.0835%1 Nov →
ancient13–50.0213%31 Oct →
dust213–80.0538%31 Oct →
anubis13–40.125%31 Oct →
anubis13–100.1110%31 Oct →
anubis13–80.0017%31 Oct →
ancient13–80.029%31 Oct →
mirage16–120.0126%31 Oct →
mirage13–20.0011%31 Oct →
mirage3–13-0.0215%31 Oct →
dust213–70.0135%30 Oct →
dust212–16-0.0425%30 Oct →
dust210–130.1214%30 Oct →
dust210–13-0.0216%29 Oct →
ancient4–130.0426%29 Oct →
cache13–10.0226%28 Oct →
dust212–120.0614%27 Oct →
inferno1–13-0.110%25 Oct →
cache13–7-0.0210%25 Oct →
ancient13–3-0.028%25 Oct →
mirage6–130.079%25 Oct →
mirage13–80.0119%25 Oct →
anubis13–9-0.0215%25 Oct →
anubis13–9-0.0014%25 Oct →
ancient3–13-0.0411%25 Oct →
cache1–5-0.120%25 Oct →
mirage16–13-0.028%25 Oct →
inferno12–16-0.0316%24 Oct →
inferno13–50.0215%24 Oct →
cache7–130.0310%24 Oct →
inferno9–13-0.059%24 Oct →
anubis13–7-0.0221%23 Oct →
dust213–20.020%23 Oct →
inferno13–160.0111%19 Oct →
mirage7–13-0.0513%18 Oct →
dust29–13-0.0417%18 Oct →
ancient16–130.0311%18 Oct →
ancient14–16-0.0311%18 Oct →
inferno4–9-0.1514%18 Oct →
nuke5–13-0.043%18 Oct →
ancient11–130.0218%18 Oct →
dust213–50.1119%18 Oct →
mirage0–30.000%18 Oct →
mirage13–50.0419%17 Oct →
nuke13–20.1612%17 Oct →
anubis13–80.1118%17 Oct →
mirage11–13-0.0617%17 Oct →
dust213–50.098%17 Oct →
cache9–13-0.064%17 Oct →
anubis13–4-0.046%17 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
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.