BigCheese

BigCheese — CS2 Stats

CX76561197960392855[U:1:127127]Steam profile ↗✓ No bans

493Tracked matches59%Win rate2025Tracked since
CSDB Rating7.3 StrongPositional Player
Premier CS Rating24,532Top 25% of 212,910 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)
CSDB Leaderboard#27701 of 259677 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 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: 24,532 +842 11 May – 2 Nov · 27 days played
23,47325,642peak 25,64211 May2 Nov
Faceit ELO: 1,049 +0 12 Sept – 18 Sept · 5 observations
1,0491,049peak 1,04912 Sept18 Sept
25,642Peak Premier in tracked matches
1,049Highest Faceit ELO seen on CSDB
65Days played since 2026-05-09

Premier CS Rating

  • 1,110 below peak (25,642)
  • -1,110 over 90 days
  • Next: Red band at 25,000 — 468 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-12
  • Purple band first seen 2026-09-12

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.GGBigCheeseFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER24,532 · Pink bandPEAK ELO1,049csdb.gg/stats

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Performance scores

Aim86
Positioning69
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY58–35–7Last 10058%Win rateWWLTLWWLLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +2.9pp headshot accuracy · +35ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 514ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 535ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 518ms

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 (+1.2 against its own average).

Aim8.6
Utility4.5
Positioning6.9
Opening Duels6.5
Clutch4.8

Sharp aimerLimited 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 91% playstyle similarity

Most alike: aim profile, positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

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

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

Aim8.6
Positioning6.9
Utility4.5
Mechanics7.5
Opening Duels6.2
Win Impact7.9

Composite 7.3/10 (Strong), 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 rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time523ms−50ms
first ⅓ avg 572ms → last ⅓ avg 523ms
Headshot accuracy22.8%−1.2%
first ⅓ avg 24.0% → last ⅓ avg 22.8%

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

0.21Best match rating · 13–1 · train, 24 May →
39%Best headshot accuracy · 3–13 · nuke, 7 Aug →
328msFastest reaction time · 13–8 · anubis, 19 Aug →
13–1Biggest win · mirage, 18 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
11–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 73% over 11dust2Weakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
cacheA2012–860%0.03
dust2C176–1135%0.03
nukeS1510–567%0.04
anubisS1410–471%0.03
mirageS118–373%0.04
infernoS107–370%0.03
overpassC52–340%0.05
ancient—40–40%0.02
train—22–0100%0.10
rush_001—11–0100%-0.05
vertigo—10–10%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

109Matches
65%Win rate
1.44Avg K/D
95.5ADR
52%Headshot %

Clutches & streaks

44%1v1 clutch win
33%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust22572%1.5319.9
Anubis2065%1.5721.4
Mirage1741%1.1719.1
Inferno1650%1.2617.3
Nuke1479%1.5218.8
Cache1283%1.5018.7
Overpass3100%1.7421.3
Ancient250%1.4817.0

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.

23.3%Headshot accuracy
35.5%Accuracy (enemy spotted)
38.1%Spray accuracy
83.8%Counter-strafing
8.7°Preaim
522msReaction time
57.9%T opening success
51.9%CT opening success
0.55Enemies flashed / flash
3.4%Flash assists
11.36HE damage / grenade
3.68Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.6812 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
rush_0018–6-0.0511%2 Nov →
cache13–9-0.0136%2 Nov →
cache11–13-0.0527%2 Nov →
overpass12–12-0.0117%28 Oct →
dust24–130.0137%28 Oct →
dust213–80.1119%26 Oct →
cache13–50.0724%26 Oct →
mirage9–130.0428%25 Oct →
dust27–13-0.0120%24 Oct →
dust29–130.0319%23 Oct →
nuke13–20.0923%23 Oct →
mirage13–90.0727%20 Oct →
inferno13–100.0127%20 Oct →
dust210–13-0.0524%18 Oct →
nuke2–130.0019%18 Oct →
nuke5–13-0.0612%13 Oct →
nuke13–60.0926%11 Oct →
ancient5–13-0.0321%11 Oct →
anubis3–13-0.0514%11 Oct →
anubis16–120.0616%7 Oct →
cache13–90.0635%2 Oct →
dust213–90.0429%2 Oct →
dust216–120.0328%15 Sept →
mirage10–50.0028%11 Sept →
cache11–00.0122%8 Sept →
anubis10–130.0122%7 Sept →
ancient3–130.0123%5 Sept →
nuke13–70.0325%31 Aug →
anubis13–10-0.0113%29 Aug →
cache16–140.0318%28 Aug →
cache13–80.0520%28 Aug →
anubis13–60.0320%27 Aug →
dust212–120.0421%27 Aug →
nuke13–20.2030%26 Aug →
nuke11–130.0025%24 Aug →
anubis16–140.0625%21 Aug →
nuke13–110.0015%21 Aug →
anubis13–50.0225%20 Aug →
anubis13–80.0112%19 Aug →
dust213–100.0224%19 Aug →
cache13–20.1124%19 Aug →
cache10–13-0.0414%16 Aug →
anubis13–160.0420%15 Aug →
dust210–13-0.0125%15 Aug →
inferno7–13-0.0515%14 Aug →
nuke11–13-0.0636%14 Aug →
anubis13–70.1231%14 Aug →
dust25–130.0537%14 Aug →
cache13–160.0122%12 Aug →
inferno10–130.0616%8 Aug →
anubis13–110.0924%8 Aug →
nuke3–130.0139%7 Aug →
cache13–90.0624%5 Aug →
nuke13–100.0122%5 Aug →
inferno13–110.0425%1 Aug →
nuke13–110.0925%31 Jul →
dust213–60.1531%31 Jul →
cache13–60.0730%31 Jul →
ancient11–130.0719%30 Jul →
anubis7–13-0.0027%26 Jul →
anubis13–20.0112%23 Jul →
anubis16–130.0423%19 Jul →
cache14–160.0218%17 Jul →
nuke13–20.1321%17 Jul →
cache5–13-0.0231%17 Jul →
dust25–130.0520%15 Jul →
cache13–70.0728%15 Jul →
mirage13–100.0132%14 Jul →
cache13–80.1428%9 Jul →
vertigo10–13-0.0129%8 Jul →
cache9–130.0226%5 Jul →
mirage13–20.0527%5 Jul →
mirage12–120.0222%26 Jun →
ancient12–120.0225%26 Jun →
nuke13–110.0325%24 Jun →
overpass8–13-0.0234%21 Jun →
train13–90.0023%18 Jun →
mirage13–10.0223%18 Jun →
cache12–120.0534%16 Jun →
inferno13–110.1021%13 Jun →
dust215–150.0424%12 Jun →
inferno13–50.0223%11 Jun →
mirage13–20.1323%10 Jun →
dust213–9-0.0615%6 Jun →
cache1–130.0130%6 Jun →
dust212–120.0231%30 May →
inferno13–50.0933%30 May →
mirage11–130.0420%30 May →
inferno16–14-0.0332%29 May →
dust210–13-0.0318%28 May →
overpass13–30.1914%26 May →
cache13–70.0318%24 May →
train13–10.2124%24 May →
overpass7–13-0.0224%20 May →
mirage13–70.0219%20 May →
inferno16–140.0616%18 May →
nuke13–5-0.0317%13 May →
inferno11–13-0.0324%13 May →
overpass13–50.1119%11 May →
mirage13–30.0520%9 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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