withcheese

withcheese — CS2 Stats

LV76561198168056151[U:1:207790423]Steam profile ↗✓ No bans

4,249Tracked matches66%Win rate2020Tracked since
CSDB Rating6.6 SolidSupport
Premier CS Rating26,501Top 5% of 211,308 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)
CSDB Leaderboard#9717 of 258285 tracked
FaceitLevel 9 · 1,859 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+362Premier CS Rating · 26,139 → 26,501

Rating over time

Premier CS Rating: 26,501 +2,999 26 Sept – 28 Oct · 23 days played
22,08026,501peak 26,50126 Sept28 Oct
26,501Peak Premier in tracked matches
1,859Highest Faceit ELO seen on CSDB
38Days played since 2026-09-01

Faceit ELO

  • At peak — 1,859
  • Next: Level 10 at 2,001 — 142 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-05
  • Level 8 first seen 2026-09-05

Premier CS Rating

  • At peak — 26,501
  • +2,834 over 30 days · improving
  • Next: Gold band at 30,000 — 3,499 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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.GGwithcheeseFACEITLevel 9 · 1,859 ELOSTANDINGTop 20.7% of rankedPREMIER26,501 · Red bandPEAK ELO1,859csdb.gg/stats

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Performance scores

Aim70
Positioning54
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateWLWLWWWLLW

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −2.8pp headshot accuracy · +31ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 557ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 577ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 562ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim7.0
Utility6.9
Positioning5.4
Opening Duels2.4
Clutch4.8

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

NiKo

Plays most like NiKo 80% 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. 557ms 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

Aim7.0
Positioning5.4
Utility6.9
Mechanics5.7
Opening Duels2.5
Win Impact10.0

Composite 6.6/10 (Solid), 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 rating0.02−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time557ms+15ms
first ⅓ avg 542ms → last ⅓ avg 557ms
Headshot accuracy20.7%+0.3%
first ⅓ avg 20.4% → last ⅓ avg 20.7%

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 · 13–2 · dust2, 13 Oct →
50%Best headshot accuracy · 13–4 · dust2, 19 Oct →
406msFastest reaction time · 13–2 · ancient, 28 Sept →
13–1Biggest win · inferno, 15 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–3In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 72% over 18ancientWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB209–1145%0.03
dust2S1813–572%0.03
nukeA149–564%0.02
ancientC146–843%0.01
infernoB136–746%0.02
cacheB126–650%0.03
anubisB63–350%-0.01
office—11–0100%0.08
train—10–10%-0.10
overpass—10–10%-0.28

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,767Matches
51%Win rate
1.14Avg K/D
72.4ADR
42%Headshot %

Clutches & streaks

44%1v1 clutch win
23%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust234351%1.1315.7
Mirage31352%1.1215.0
Ancient24450%1.0814.8
Nuke18253%1.2315.9
Anubis16944%1.1314.0
Inferno12847%1.1314.9
Cache5855%1.0013.9
Overpass3762%1.1214.2

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.

21.1%Headshot accuracy
31.6%Accuracy (enemy spotted)
36.7%Spray accuracy
75.5%Counter-strafing
9.2°Preaim
557msReaction time
33.0%T opening success
46.6%CT opening success
0.65Enemies flashed / flash
7.2%Flash assists
8.18HE damage / grenade
17.55Flashes / 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

    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 32.9806% — below the 40% mark we flag

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.

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–50.0119%28 Oct →
mirage8–130.0117%28 Oct →
nuke13–70.0627%27 Oct →
dust210–13-0.0323%27 Oct →
inferno13–9-0.0124%27 Oct →
cache13–60.0620%27 Oct →
inferno13–50.0920%26 Oct →
ancient8–13-0.0427%26 Oct →
ancient2–13-0.0716%25 Oct →
nuke13–30.036%25 Oct →
ancient13–40.060%24 Oct →
nuke13–50.0326%23 Oct →
mirage3–13-0.0920%23 Oct →
dust210–130.0115%23 Oct →
ancient13–70.0620%20 Oct →
ancient13–60.0829%20 Oct →
inferno13–90.0916%19 Oct →
dust213–40.0550%19 Oct →
office13–50.0836%19 Oct →
nuke13–100.0316%19 Oct →
train0–13-0.100%17 Oct →
mirage13–40.0310%17 Oct →
dust213–110.0438%16 Oct →
mirage13–60.0512%16 Oct →
cache6–130.0216%16 Oct →
dust213–4-0.0422%16 Oct →
dust28–130.0020%15 Oct →
anubis7–13-0.0615%15 Oct →
inferno13–10.0643%15 Oct →
inferno12–120.0222%15 Oct →
cache9–13-0.0028%15 Oct →
mirage4–13-0.0118%15 Oct →
nuke9–130.0715%15 Oct →
dust213–70.1127%15 Oct →
inferno8–130.0320%14 Oct →
cache15–15-0.0121%14 Oct →
dust213–10-0.0716%14 Oct →
cache10–130.0214%14 Oct →
cache16–14-0.0122%13 Oct →
anubis13–110.0010%13 Oct →
dust213–20.1818%13 Oct →
overpass0–9-0.280%13 Oct →
inferno4–13-0.0731%13 Oct →
mirage16–13-0.0611%12 Oct →
inferno13–80.0512%10 Oct →
dust216–140.0229%10 Oct →
nuke13–90.0023%10 Oct →
nuke7–13-0.0325%9 Oct →
nuke3–9-0.1125%9 Oct →
mirage16–140.0624%8 Oct →
nuke13–80.1122%8 Oct →
inferno15–15-0.0135%8 Oct →
cache13–30.1215%7 Oct →
ancient9–13-0.0427%7 Oct →
mirage8–130.0518%6 Oct →
ancient13–90.0114%6 Oct →
dust29–130.0421%6 Oct →
anubis13–50.0222%5 Oct →
mirage13–30.1713%5 Oct →
nuke13–3-0.0316%5 Oct →
dust213–5-0.025%3 Oct →
ancient6–130.0217%2 Oct →
mirage9–13-0.0527%2 Oct →
ancient10–13-0.0017%2 Oct →
mirage13–110.0325%2 Oct →
mirage13–60.0721%1 Oct →
mirage6–130.0228%1 Oct →
inferno9–130.0822%30 Sept →
nuke4–120.0229%30 Sept →
mirage4–130.0019%30 Sept →
mirage13–60.1128%30 Sept →
nuke8–130.0232%29 Sept →
inferno0–9-0.1329%29 Sept →
inferno11–130.0324%28 Sept →
ancient13–20.0433%28 Sept →
cache13–30.0624%28 Sept →
mirage6–130.0318%28 Sept →
cache8–130.0123%28 Sept →
mirage13–60.1731%27 Sept →
cache13–70.0714%26 Sept →
inferno13–80.0229%26 Sept →
nuke13–8-0.048%26 Sept →
mirage5–13-0.0515%26 Sept →
ancient11–130.0121%25 Sept →
cache5–13-0.0724%24 Sept →
dust26–13-0.0434%23 Sept →
ancient8–130.0012%23 Sept →
cache13–110.0621%22 Sept →
ancient7–13-0.0314%16 Sept →
dust213–100.0819%16 Sept →
mirage8–130.0313%16 Sept →
anubis10–130.0517%6 Sept →
anubis4–13-0.0720%6 Sept →
dust213–100.0217%4 Sept →
dust213–110.1217%3 Sept →
ancient13–100.0010%2 Sept →
mirage11–130.0019%1 Sept →
nuke13–100.1223%1 Sept →
dust213–60.052%1 Sept →
dust213–2-0.0014%1 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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