Grand Cheese master55

Grand Cheese master55 — CS2 Stats

AF76561198153140752[U:1:192875024]Steam profile ↗✓ No bans

1,186Tracked matches48%Win rate2020Tracked since
CSDB Rating4.6 DevelopingAll-Rounder
Premier CS Rating5,000Light Blue band · top ~78.8% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (4 days ago). 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: 5,000 +1,259 4 Sept – 10 Oct · 18 days played
3,3965,000peak 5,0004 Sept10 Oct
5,106Peak Premier in tracked matches
21Days played since 2026-09-04

Premier CS Rating

  • At peak — 5,000
  • +1,224 over 30 days · improving
  • Next: Blue band at 10,000 — 5,000 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGGrand Cheese master55PREMIER5,000 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning62
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY36–58–6Last 10036%Win rateLWWWWLLWLW

Last 10 vs previous 10: +10pp win rate · −0.05 avg rating · −6.7pp headshot accuracy · −11ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 666ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 642ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 647ms

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.

Aim3.9
Utility5.9
Positioning6.2
Opening Duels4.5

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

jL

Plays most like jL 61% 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

Strengths

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

Areas to improve

CT openings. Opening success drops from 62% on T to 43% on CT — first contacts on the defending side are being lost.

Reaction time. 637ms 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

Aim3.9
Positioning6.2
Utility5.9
Mechanics5.2
Opening Duels5.6
Win Impact4.4

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg -0.00
Reaction time636ms+31ms
first ⅓ avg 604ms → last ⅓ avg 636ms
Headshot accuracy14.4%−0.7%
first ⅓ avg 15.1% → last ⅓ avg 14.4%

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 · 9–2 · inferno, 27 Sept →
33%Best headshot accuracy · 13–4 · dust2, 29 Sept →
344msFastest reaction time · 5–0 · ancient, 24 Sept →
13–1Biggest win · dust2, 6 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 44% over 9ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2D237–1630%-0.03
mirageC187–1139%-0.01
infernoC177–1041%0.01
nukeC114–736%-0.00
anubisC94–544%-0.03
ancientD71–614%-0.05
cacheD72–529%-0.04
vertigo—42–250%-0.03
train—32–167%0.00
overpass—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches
0%Win rate
0.25Avg K/D
—ADR
0%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

14.7%Headshot accuracy
30.0%Accuracy (enemy spotted)
29.2%Spray accuracy
73.3%Counter-strafing
10.9°Preaim
637msReaction time
62.0%T opening success
42.8%CT opening success
0.60Enemies flashed / flash
4.5%Flash assists
9.34HE damage / grenade
10.33Flashes / 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 14.6981% — below the 15% mark we flag

    Aim Training →
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.

14% 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
mirage8–13-0.044%10 Oct →
anubis13–6-0.0014%10 Oct →
nuke13–40.017%10 Oct →
train13–7-0.0019%9 Oct →
mirage13–110.017%9 Oct →
ancient10–13-0.0422%9 Oct →
ancient11–13-0.0312%9 Oct →
anubis13–11-0.036%9 Oct →
mirage10–13-0.0714%6 Oct →
dust213–10.0219%6 Oct →
dust27–130.0319%6 Oct →
dust213–100.0829%6 Oct →
anubis5–130.0318%29 Sept →
mirage13–100.1221%29 Sept →
nuke4–13-0.0321%29 Sept →
dust213–4-0.0433%29 Sept →
mirage13–90.0612%28 Sept →
mirage13–30.0520%28 Sept →
cache14–160.039%28 Sept →
inferno5–90.017%28 Sept →
dust213–6-0.0713%28 Sept →
ancient9–13-0.097%27 Sept →
cache13–6-0.0219%27 Sept →
mirage8–13-0.0210%27 Sept →
inferno4–90.0314%27 Sept →
inferno9–20.147%27 Sept →
inferno1–9-0.0110%27 Sept →
cache12–12-0.0614%26 Sept →
anubis3–13-0.066%26 Sept →
train9–13-0.0119%26 Sept →
vertigo13–3-0.028%26 Sept →
dust210–13-0.0123%26 Sept →
nuke6–130.0311%26 Sept →
mirage4–13-0.027%25 Sept →
dust210–13-0.0716%25 Sept →
dust22–130.0317%25 Sept →
nuke8–8-0.0010%25 Sept →
inferno5–9-0.0313%25 Sept →
ancient5–13-0.0821%24 Sept →
anubis13–4-0.0218%24 Sept →
ancient5–0-0.040%24 Sept →
vertigo9–7-0.0115%24 Sept →
nuke12–120.0413%24 Sept →
mirage13–110.0015%24 Sept →
dust25–13-0.0617%21 Sept →
cache3–13-0.0510%21 Sept →
dust213–5-0.028%21 Sept →
cache6–130.0226%21 Sept →
nuke4–13-0.0714%21 Sept →
vertigo4–9-0.0117%21 Sept →
nuke10–13-0.0918%20 Sept →
mirage8–13-0.0213%20 Sept →
mirage9–130.0012%20 Sept →
mirage8–13-0.0416%20 Sept →
nuke13–60.1114%20 Sept →
dust29–13-0.0816%20 Sept →
inferno9–60.1423%19 Sept →
inferno9–5-0.0019%19 Sept →
inferno6–9-0.1015%19 Sept →
ancient3–13-0.0210%18 Sept →
nuke13–4-0.0011%18 Sept →
dust28–130.0213%18 Sept →
inferno9–13-0.0915%18 Sept →
dust27–13-0.0515%18 Sept →
inferno9–30.0213%18 Sept →
train13–70.0215%17 Sept →
anubis6–13-0.0213%17 Sept →
inferno11–13-0.0213%17 Sept →
inferno9–30.0322%17 Sept →
ancient6–13-0.0316%16 Sept →
dust21–13-0.025%16 Sept →
anubis8–13-0.0413%16 Sept →
dust215–15-0.017%16 Sept →
inferno8–80.015%16 Sept →
dust214–16-0.029%15 Sept →
inferno8–13-0.0612%15 Sept →
mirage13–11-0.0114%15 Sept →
dust213–8-0.0721%15 Sept →
anubis6–13-0.0612%14 Sept →
mirage8–13-0.0516%14 Sept →
nuke5–13-0.0318%14 Sept →
mirage13–8-0.0320%14 Sept →
mirage3–13-0.0415%14 Sept →
dust215–15-0.0410%14 Sept →
overpass10–13-0.0318%13 Sept →
dust211–130.0519%13 Sept →
nuke13–80.0319%7 Sept →
dust25–13-0.1423%7 Sept →
inferno9–30.0719%7 Sept →
inferno9–60.1225%7 Sept →
mirage1–13-0.033%5 Sept →
dust25–13-0.0428%5 Sept →
cache2–13-0.070%5 Sept →
dust216–14-0.0324%5 Sept →
inferno6–13-0.0222%5 Sept →
mirage3–13-0.0212%4 Sept →
cache13–6-0.1014%4 Sept →
vertigo9–13-0.079%4 Sept →
anubis13–4-0.0522%4 Sept →
dust26–13-0.1113%4 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 →

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