Cheese101

Cheese101 — CS2 Stats

PH76561199180878606[U:1:1220612878]Steam profile ↗✓ No bans

1,243Tracked matches52%Win rate2021Tracked since
928Hours in CS
CSDB Rating7.5 StrongPositional Player
Premier CS Rating25,161Top 10% of 215,248 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)
CSDB Leaderboard#20118 of 261504 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,243 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,161 +2,355 29 Jul – 23 Oct · 19 days played
21,86425,283peak 25,28329 Jul23 Oct
25,283Peak Premier in tracked matches
2,010Highest Faceit ELO seen on CSDB
24Days played since 2026-07-29

Premier CS Rating

  • 122 below peak (25,283)
  • 0 over 30 days · steady
  • +2,355 over 90 days
  • Next: Gold band at 30,000 — 4,839 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-17
  • Pink band first seen 2026-09-17

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate55.7%48.2%50.9%above
Shot accuracy8.2%13.2%13.7%5.5% short
Kill/death ratio1.161.071.09above
Match win rate46.4%46.9%48.4%2.0% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCheese101FACEITLevel 9STANDINGTop 20.7% of rankedPREMIER25,161 · Red bandPEAK ELO2,010csdb.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

Aim96
Positioning61
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateLWLWWLWLLW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +6.6pp headshot accuracy · −10ms 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 548ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 545ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 550ms

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 (+1.3 against its own average).

Aim9.6
Utility5.2
Positioning6.1
Opening Duels4.3
Clutch3.6

Sharp aimer

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

Twistzz

Plays most like Twistzz 86% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: 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

Aim. Aim score of 96 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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

Aim9.6
Positioning6.1
Utility5.2
Mechanics8.4
Opening Duels4.0
Win Impact5.6

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time554ms−86ms
first ⅓ avg 641ms → last ⅓ avg 554ms
Headshot accuracy24.0%−3.0%
first ⅓ avg 27.1% → last ⅓ avg 24.0%

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 · 12–12 · ancient, 21 Aug →
52%Best headshot accuracy · 13–6 · inferno, 3 Aug →
391msFastest reaction time · 12–12 · ancient, 21 Aug →
13–0Biggest win · mirage, 14 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
12–4In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 54% over 13anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B3215–1747%0.02
ancientC239–1439%0.02
mirageB2110–1148%0.01
infernoB137–654%0.02
anubisC83–538%0.04
nuke—22–0100%0.03
cache—10–10%-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,249Lifetime kills
1.16K/D · Top 50% of Level 9 players
1,992Matches
46.4%Match win rate
55.7%Headshot % · Top 25% of Level 9 players
8.2%Shot accuracy
5,409MVPs
928Hours (in match)
2,245Bombs planted
576Bombs defused

Most-used weapons

Lifetime map wins

3,308dust2
2,286inferno
536nuke
223train
57vertigo
16cbble

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

Faceit stats

Combat

436Matches
54%Win rate
1.23Avg K/D
84.2ADR
55%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust210553%1.1717.0
Mirage9548%1.1918.1
Ancient7450%1.2018.3
Anubis6664%1.2918.9
Inferno4351%1.1817.5
Nuke1457%1.1318.0
Cache650%1.2421.3
Vertigo250%0.7413.0

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.

24.0%Headshot accuracy
42.5%Accuracy (enemy spotted)
52.2%Spray accuracy
87.6%Counter-strafing
8.1°Preaim
540msReaction time
43.1%T opening success
48.5%CT opening success
0.67Enemies flashed / flash
1.8%Flash assists
7.58HE damage / grenade
8.10Flashes / match

Recommended for you

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0131%4 Sept →
inferno13–40.1223%1 Sept →
inferno10–130.0224%1 Sept →
inferno13–6-0.0520%31 Aug →
dust213–10-0.0117%31 Aug →
mirage11–130.0122%31 Aug →
anubis13–110.0630%30 Aug →
mirage10–13-0.0330%28 Aug →
ancient5–13-0.0423%28 Aug →
dust213–6-0.0029%28 Aug →
ancient9–13-0.0815%28 Aug →
anubis14–16-0.0219%28 Aug →
inferno6–13-0.028%27 Aug →
mirage0–13-0.0517%24 Aug →
mirage13–110.1219%24 Aug →
ancient12–120.1833%21 Aug →
dust216–130.0418%20 Aug →
ancient9–130.0216%19 Aug →
mirage16–120.0317%19 Aug →
inferno7–13-0.0021%14 Aug →
dust29–13-0.0238%14 Aug →
dust213–50.1350%14 Aug →
ancient13–30.0531%14 Aug →
mirage13–0-0.0531%14 Aug →
mirage13–80.0724%14 Aug →
dust213–60.0518%14 Aug →
ancient13–100.0124%14 Aug →
dust213–110.0420%14 Aug →
ancient0–13-0.0933%13 Aug →
ancient4–130.0934%12 Aug →
dust20–13-0.0717%11 Aug →
anubis7–130.0225%9 Aug →
dust26–13-0.0517%9 Aug →
mirage3–13-0.0227%9 Aug →
dust213–100.0526%7 Aug →
dust215–15-0.0130%7 Aug →
nuke6–0-0.0228%7 Aug →
dust27–130.0636%7 Aug →
dust213–60.1131%6 Aug →
inferno9–13-0.0123%6 Aug →
anubis13–80.1228%6 Aug →
inferno13–110.0148%6 Aug →
ancient13–50.0615%5 Aug →
ancient5–13-0.0338%5 Aug →
dust213–60.0138%5 Aug →
dust23–13-0.1244%5 Aug →
ancient16–140.0933%5 Aug →
mirage8–130.0520%5 Aug →
dust25–130.1230%5 Aug →
ancient13–80.0933%5 Aug →
dust215–150.0828%5 Aug →
mirage11–13-0.0426%5 Aug →
mirage13–70.0221%5 Aug →
mirage2–13-0.078%5 Aug →
ancient7–13-0.0428%5 Aug →
mirage13–90.0524%4 Aug →
ancient13–50.1328%4 Aug →
mirage11–13-0.0226%3 Aug →
anubis13–70.0544%3 Aug →
inferno16–120.0829%3 Aug →
nuke13–110.0741%3 Aug →
inferno13–60.0652%3 Aug →
mirage13–80.0816%3 Aug →
dust213–40.0927%3 Aug →
dust25–130.0138%3 Aug →
anubis9–130.0328%3 Aug →
ancient6–13-0.0030%3 Aug →
inferno4–130.0121%3 Aug →
dust28–130.0526%3 Aug →
dust26–13-0.0237%3 Aug →
mirage3–13-0.0517%3 Aug →
dust213–110.0324%3 Aug →
mirage13–110.0125%3 Aug →
ancient9–130.0518%3 Aug →
dust213–9-0.0035%3 Aug →
dust26–130.0428%3 Aug →
ancient13–110.0228%3 Aug →
ancient4–13-0.0521%3 Aug →
dust213–50.0235%3 Aug →
mirage13–3-0.0116%3 Aug →
ancient5–13-0.0145%2 Aug →
ancient13–110.0021%2 Aug →
dust213–110.0429%2 Aug →
inferno13–8-0.0131%2 Aug →
dust213–16-0.0221%2 Aug →
cache6–13-0.0717%2 Aug →
dust26–130.0227%2 Aug →
dust23–13-0.0644%31 Jul →
dust22–130.0117%31 Jul →
mirage9–130.0636%30 Jul →
ancient16–140.0528%30 Jul →
ancient6–13-0.0630%30 Jul →
inferno10–130.0213%30 Jul →
dust213–80.0948%30 Jul →
anubis5–13-0.0132%30 Jul →
inferno13–60.0230%29 Jul →
mirage13–100.0018%29 Jul →
anubis7–130.0228%29 Jul →
mirage8–130.0023%29 Jul →
ancient8–13-0.0123%29 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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