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⛧Cheese⛧

⛧Cheese⛧ — CS2 Stats

76561198071587386[U:1:111321658]Steam profile ↗

2,275Tracked matches55%Win rate2020Tracked since
CSDB Rating4.3 Developing
FaceitLevel 6 · 1,581 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG⛧Cheese⛧FACEITLevel 6 · 1,581 ELOSTANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim55
Positioning34
Utility49

0–100 skill scores via Leetify.

Recent form

HOT46–50–4Last 10046%Win rateWWLWWWLWWW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Aim5.5
Aggression1.2
Utility4.9
Positioning3.4
Opening Duels0.0
Clutch4.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 553ms 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

Aim5.5
Positioning3.4
Utility4.9
Mechanics5.1
Opening Duels0.5
Win Impact6.7

Composite 4.3/10 (Developing), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time557ms−22ms
first ⅓ avg 578ms → last ⅓ avg 557ms
Headshot accuracy13.4%−0.4%
first ⅓ avg 13.8% → last ⅓ avg 13.4%

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.

Highlights

0.10Best rating — mirage 13–5
13–2Biggest win — anubis
4Longest win streak
W2Current streak
7–9In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 59% over 17overpassWeakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB209–1145%-0.01
dust2C188–1044%-0.04
ancientA1710–759%0.01
infernoA148–657%-0.02
anubisA127–558%-0.00
overpassD80–80%-0.03
nukeC73–443%-0.04
cache—31–233%0.02
train—10–10%-0.04

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,135Matches
48%Win rate
0.89Avg K/D
66.9ADR
41%Headshot %

Clutches & streaks

42%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient29151%0.8612.9
Mirage24448%0.9513.0
Anubis20753%0.8912.8
Inferno15344%0.9013.4
Dust27240%0.9713.2
Nuke6234%0.7611.9
Overpass4441%0.8813.2
Train3853%0.8312.3

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.

13.2%Headshot accuracy
32.2%Accuracy (enemy spotted)
36.2%Spray accuracy
73.0%Counter-strafing
10.4°Preaim
553msReaction time
21.5%T opening success
34.2%CT opening success
0.47Enemies flashed / flash
4.0%Flash assists
9.12HE damage / grenade
9.51Flashes / 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 13.1605% — 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 0.4714 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 21.4791% — below the 40% mark we flag

Spend your practice time on Overpass

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

0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–80.0214%18 Jul →
dust213–11-0.0421%17 Jul →
cache4–130.0029%11 Jul →
mirage13–10-0.119%4 Jul →
dust213–40.0218%29 May →
anubis13–60.0220%22 May →
dust219–22-0.049%20 May →
ancient13–50.0613%16 May →
ancient13–40.0516%16 May →
anubis13–60.0012%16 May →
inferno13–8-0.0319%9 May →
dust215–15-0.039%9 May →
anubis13–10-0.0020%9 May →
mirage6–13-0.049%9 May →
cache13–40.0715%9 May →
dust26–13-0.0117%8 May →
inferno13–60.0111%8 May →
inferno13–60.0211%6 May →
cache11–13-0.027%6 May →
mirage13–40.078%3 May →
inferno9–13-0.0314%3 May →
mirage13–50.1015%2 May →
mirage9–13-0.019%1 May →
dust213–11-0.097%30 Apr →
mirage9–13-0.067%30 Apr →
mirage8–13-0.0322%29 Apr →
mirage9–13-0.058%28 Apr →
ancient11–13-0.0213%28 Apr →
mirage4–13-0.0512%27 Apr →
dust211–13-0.0512%26 Apr →
ancient13–9-0.008%22 Apr →
anubis13–10-0.0419%22 Apr →
nuke14–16-0.0210%21 Apr →
anubis15–15-0.0114%21 Apr →
anubis13–7-0.0021%21 Apr →
inferno13–9-0.0514%21 Apr →
mirage14–160.0513%17 Apr →
mirage8–13-0.0212%16 Apr →
nuke13–6-0.0317%16 Apr →
anubis9–130.0520%16 Apr →
anubis9–130.0115%15 Apr →
overpass9–13-0.0219%14 Apr →
ancient8–130.037%14 Apr →
overpass14–160.0119%12 Apr →
dust24–13-0.0622%12 Apr →
inferno13–10-0.024%10 Apr →
anubis13–6-0.0011%9 Apr →
ancient13–90.0923%8 Apr →
ancient13–100.0311%7 Apr →
mirage2–13-0.069%6 Apr →
dust214–16-0.0016%6 Apr →
nuke0–6-0.140%6 Apr →
anubis13–20.054%6 Apr →
mirage13–8-0.0114%6 Apr →
ancient13–40.0214%5 Apr →
inferno2–13-0.047%5 Apr →
anubis7–13-0.0810%3 Apr →
ancient10–130.0414%31 Mar →
mirage13–70.0219%31 Mar →
dust28–13-0.0536%31 Mar →
ancient9–13-0.0813%31 Mar →
inferno19–170.0117%29 Mar →
mirage22–20-0.059%28 Mar →
mirage8–13-0.0116%26 Mar →
anubis14–16-0.0412%26 Mar →
inferno4–13-0.0923%24 Mar →
inferno13–4-0.0410%24 Mar →
inferno6–13-0.0322%23 Mar →
overpass13–16-0.0517%22 Mar →
ancient13–11-0.016%21 Mar →
dust216–13-0.0414%21 Mar →
dust212–16-0.0831%20 Mar →
nuke8–13-0.074%20 Mar →
ancient5–13-0.0913%20 Mar →
dust213–70.0024%15 Mar →
inferno15–15-0.0110%15 Mar →
inferno2–130.0014%15 Mar →
ancient13–100.0114%3 Mar →
ancient0–13-0.0315%25 Feb →
ancient11–130.0110%25 Feb →
overpass6–130.0114%13 Feb →
mirage13–5-0.009%2 Feb →
dust213–11-0.0211%30 Jan →
ancient13–90.0016%29 Jan →
overpass6–13-0.1011%23 Jan →
dust213–9-0.037%23 Jan →
nuke13–80.0418%21 Jan →
nuke3–13-0.0512%16 Jan →
nuke13–9-0.0216%16 Jan →
overpass15–15-0.0015%10 Jan →
mirage13–110.0523%5 Jan →
overpass8–13-0.068%4 Jan →
dust23–13-0.0710%3 Jan →
dust24–12-0.0417%18 Dec →
ancient13–80.0217%17 Dec →
dust213–8-0.0115%16 Dec →
mirage10–13-0.0221%15 Dec →
mirage13–8-0.017%13 Dec →
train9–13-0.0410%7 Dec →
overpass10–13-0.045%7 Dec →

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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