Cheeseman1754

Cheeseman1754 — CS2 Stats

IL76561199497041687[U:1:1536775959]Steam profile ↗✓ No bans

250Tracked matches44%Win rate2023Tracked since
115Hours in CS
CSDB Rating2.8 LearningPositional Player
FaceitLevel 3 · 779 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 8,972 +5,760 6 Dec – 19 May · 27 days played
1,6509,560peak 9,5606 Dec19 May
9,927Peak Premier in tracked matches
779Highest Faceit ELO seen on CSDB
38Days played since 2025-12-06

Faceit ELO

  • At peak — 779
  • Next: Level 4 at 901 — 122 to go
  • Reached: Level 3 · Level 2

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 3 among CSDB-tracked players (n=10,051), 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 3 medianLevel 4 medianvs Level 4
Headshot rate37.8%41.8%42.7%4.9% short
Shot accuracy4.7%12.2%11.3%6.5% short
Kill/death ratio0.770.980.990.23 short
Match win rate46.2%43.3%43.9%above

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCheeseman1754FACEITLevel 3 · 779 ELOSTANDINGTop 90.6% of rankedPEAK ELO779csdb.gg/stats

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Performance scores

Aim25
Positioning46
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateLWLWTWLWLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +3.7pp headshot accuracy · +55ms 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 -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 806ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 756ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 729ms

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 (+1.6 against its own average).

Aim2.5
Utility3.8
Positioning4.6
Opening Duels2.3
Clutch1.4

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 67% 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

Areas to improve

Reaction time. 693ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim2.5
Positioning4.6
Utility3.8
Mechanics2.6
Opening Duels1.9
Win Impact3.1

Composite 2.8/10 (Learning), 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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time689ms+23ms
first ⅓ avg 666ms → last ⅓ avg 689ms
Headshot accuracy11.5%−0.9%
first ⅓ avg 12.3% → last ⅓ avg 11.5%

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

0.11Best match rating · 13–8 · mirage, 30 Jan →
43%Best headshot accuracy · 6–13 · overpass, 11 Dec →
492msFastest reaction time · 5–13 · ancient, 7 Dec →
13–1Biggest win · dust2, 3 Jan →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 71% over 7ancientWeakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2814–1450%-0.03
dust2B2815–1354%-0.01
nukeA1610–663%-0.02
infernoB84–450%-0.03
ancientD80–80%-0.04
overpassS75–271%-0.00
anubisA53–260%-0.01

Across the last 100 tracked matches.

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

Lifetime stats

4,107Lifetime kills
0.77K/D
342Matches
46.2%Match win rate · Top 50% of Level 3 players
37.8%Headshot %
4.7%Shot accuracy
456MVPs
115Hours (in match)
282Bombs planted
76Bombs defused

Most-used weapons

Lifetime map wins

614dust2
390nuke
314inferno
99vertigo
18train
13italy
1ar_monastery
1lake

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

Faceit stats

Combat

58Matches
45%Win rate
0.70Avg K/D
59.7ADR
32%Headshot %

Clutches & streaks

27%1v1 clutch win
14%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2352%0.6512.2
Dust21338%0.6611.2
Inferno825%0.6711.3
Anubis650%0.6010.3
Nuke425%1.2113.0
Ancient367%0.799.3
Train1100%1.0015.0

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.

11.3%Headshot accuracy
32.4%Accuracy (enemy spotted)
36.2%Spray accuracy
61.9%Counter-strafing
12.5°Preaim
693msReaction time
36.2%T opening success
39.1%CT opening success
0.55Enemies flashed / flash
2.5%Flash assists
5.33HE damage / grenade
9.26Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.499° — above the 12° mark we flag

    Aim Training →
  2. 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 11.3058% — 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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage14–16-0.1011%4 Sept →
anubis13–40.0116%2 Aug →
dust26–6-0.0731%2 Aug →
anubis13–9-0.0212%19 May →
nuke15–150.0214%19 May →
nuke13–110.0313%11 May →
mirage4–13-0.077%11 May →
overpass13–80.0118%6 May →
dust24–13-0.029%6 May →
inferno13–90.0812%30 Apr →
ancient4–8-0.055%30 Apr →
dust213–8-0.0612%29 Apr →
ancient7–13-0.0418%7 Apr →
mirage5–13-0.095%7 Apr →
mirage8–13-0.079%14 Mar →
mirage13–11-0.059%14 Mar →
nuke13–8-0.0411%14 Mar →
dust23–13-0.0517%8 Mar →
mirage13–16-0.0411%7 Mar →
overpass13–10-0.0610%22 Feb →
nuke13–6-0.0118%22 Feb →
mirage11–13-0.0312%17 Feb →
ancient15–15-0.074%17 Feb →
inferno4–130.0012%13 Feb →
mirage8–00.050%12 Feb →
dust212–120.0610%12 Feb →
dust27–13-0.0215%1 Feb →
inferno2–13-0.0411%1 Feb →
nuke11–13-0.049%1 Feb →
dust213–100.059%1 Feb →
dust213–11-0.048%31 Jan →
dust213–40.0511%31 Jan →
mirage13–110.0311%31 Jan →
mirage8–13-0.0213%31 Jan →
ancient13–160.015%30 Jan →
mirage13–80.119%30 Jan →
dust213–11-0.0410%30 Jan →
nuke13–9-0.0310%30 Jan →
dust213–30.0414%30 Jan →
nuke13–8-0.0412%29 Jan →
dust213–70.0612%28 Jan →
dust28–13-0.0313%28 Jan →
inferno13–8-0.029%28 Jan →
anubis11–130.0413%28 Jan →
dust29–13-0.068%27 Jan →
mirage13–70.0112%27 Jan →
dust213–7-0.0312%27 Jan →
nuke14–16-0.0612%27 Jan →
inferno13–10-0.0514%27 Jan →
nuke2–13-0.049%26 Jan →
mirage13–10-0.0311%26 Jan →
nuke13–8-0.0210%26 Jan →
dust210–13-0.0113%25 Jan →
mirage13–90.026%25 Jan →
dust213–70.0119%25 Jan →
dust213–70.0214%25 Jan →
anubis4–13-0.028%22 Jan →
nuke13–50.038%22 Jan →
dust25–13-0.0510%22 Jan →
mirage3–13-0.1019%22 Jan →
mirage13–8-0.0110%22 Jan →
mirage11–13-0.088%21 Jan →
dust29–13-0.0224%21 Jan →
anubis13–9-0.035%21 Jan →
mirage9–13-0.038%19 Jan →
dust213–5-0.0117%19 Jan →
nuke13–10-0.0222%4 Jan →
ancient15–150.0011%4 Jan →
mirage13–80.004%4 Jan →
inferno5–13-0.069%3 Jan →
overpass13–30.0111%3 Jan →
dust213–20.087%3 Jan →
nuke13–8-0.049%3 Jan →
mirage13–30.0713%3 Jan →
dust213–1-0.038%3 Jan →
mirage13–16-0.047%3 Jan →
ancient6–13-0.0411%25 Dec →
nuke13–7-0.028%25 Dec →
dust29–13-0.0812%23 Dec →
nuke10–130.019%23 Dec →
inferno10–13-0.0711%19 Dec →
mirage9–13-0.088%19 Dec →
mirage10–13-0.058%19 Dec →
dust213–7-0.0213%14 Dec →
mirage13–10-0.015%14 Dec →
mirage13–11-0.0312%14 Dec →
mirage16–140.0119%13 Dec →
ancient14–16-0.040%11 Dec →
overpass6–13-0.0043%11 Dec →
overpass13–1-0.037%11 Dec →
dust210–13-0.1017%10 Dec →
overpass13–50.0918%10 Dec →
dust23–13-0.0228%10 Dec →
inferno13–4-0.0419%8 Dec →
nuke15–15-0.029%8 Dec →
mirage13–6-0.0610%8 Dec →
ancient5–13-0.0915%7 Dec →
dust213–40.0222%7 Dec →
overpass8–13-0.059%7 Dec →
mirage6–13-0.0715%6 Dec →

Match data via Leetify.

Recent teammates

Milestones

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

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