eatz

eatz — CS2 Stats

US76561197967117107[U:1:6851379]Steam profile ↗✓ No bans

1,630Tracked matches55%Win rate2021Tracked since
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating16,193Purple band · top ~23.7% of ranked players (population est.)
FaceitLevel 4 · 1,092 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (yesterday). 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: 16,193 -6,280 29 Aug – 12 Oct · 35 days played
15,60822,473peak 22,47329 Aug12 Oct
Faceit ELO: 1,092 +0 29 Aug – 3 Sept · 3 observations
1,0921,092peak 1,09229 Aug3 Sept
22,473Peak Premier in tracked matches
1,092Highest Faceit ELO seen on CSDB
34Days played since 2026-08-29

Faceit ELO

  • At peak — 1,092
  • Next: Level 6 at 1,201 — 109 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-08-29
  • Level 4 first seen 2026-08-29

Premier CS Rating

  • 6,280 below peak (22,473)
  • -3,395 over 30 days · declining
  • Next: Pink band at 20,000 — 3,807 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

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.GGeatzFACEITLevel 4 · 1,092 ELOSTANDINGTop 81.0% of rankedPREMIER16,193 · Purple bandPEAK ELO1,092csdb.gg/stats

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Performance scores

Aim52
Positioning63
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY44–55–1Last 10044%Win rateLWWWLWWLLW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −0.3pp headshot accuracy · −44ms reaction

Win rate up 30pp 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 16%
  • Avg reaction 566ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 579ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 601ms

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 (+1.7 against its own average).

Aim5.2
Utility4.1
Positioning6.3
Opening Duels4.3
Clutch3.6

Limited utility dependence

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 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 571ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.2
Positioning6.3
Utility4.1
Mechanics4.1
Opening Duels6.4
Win Impact6.7

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time579ms+49ms
first ⅓ avg 531ms → last ⅓ avg 579ms
Headshot accuracy16.8%−0.8%
first ⅓ avg 17.6% → last ⅓ avg 16.8%

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

0.12Best match rating · 7–13 · dust2, 2 Oct →
35%Best headshot accuracy · 7–13 · ancient, 18 Sept →
375msFastest reaction time · 7–13 · mirage, 9 Sept →
13–2Biggest win · nuke, 25 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–12In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 56% over 9ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC259–1636%-0.02
dust2B1910–953%-0.02
nukeC167–944%-0.02
anubisB126–650%0.01
infernoC125–742%-0.01
cacheA95–456%-0.01
ancientD72–529%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

829Matches
48%Win rate
0.92Avg K/D
76.0ADR
48%Headshot %

Clutches & streaks

38%1v1 clutch win
24%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust217351%0.9513.7
Mirage17351%0.9213.4
Anubis10946%1.0314.6
Inferno10348%0.8613.1
Ancient9850%0.9813.9
Nuke7438%0.8913.5
Overpass2759%0.8713.6
Train1457%1.0313.0

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.

16.7%Headshot accuracy
27.0%Accuracy (enemy spotted)
31.2%Spray accuracy
68.6%Counter-strafing
7.5°Preaim
571msReaction time
59.4%T opening success
51.6%CT opening success
0.62Enemies flashed / flash
1.3%Flash assists
11.04HE damage / grenade
2.93Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.926 — below the 4 mark we flag

    Grenade Lineups →
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.

29% 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
mirage0–13-0.0410%12 Oct →
anubis13–60.0411%11 Oct →
anubis16–13-0.0919%11 Oct →
cache13–50.0322%10 Oct →
ancient6–130.0217%8 Oct →
mirage13–70.0621%8 Oct →
ancient13–110.0412%8 Oct →
cache6–13-0.057%7 Oct →
ancient5–11-0.0314%6 Oct →
dust213–10-0.0222%5 Oct →
mirage13–110.0316%4 Oct →
anubis8–13-0.0611%4 Oct →
nuke15–15-0.0221%2 Oct →
dust27–130.1218%2 Oct →
anubis13–40.0819%1 Oct →
inferno14–16-0.0622%1 Oct →
cache13–90.0518%30 Sept →
inferno6–13-0.0530%29 Sept →
nuke0–2-0.090%29 Sept →
mirage3–13-0.094%29 Sept →
cache13–50.0134%29 Sept →
inferno9–13-0.0719%27 Sept →
dust213–110.0112%27 Sept →
inferno10–130.0115%26 Sept →
nuke13–10-0.068%26 Sept →
nuke11–13-0.074%26 Sept →
nuke13–20.0916%25 Sept →
nuke13–9-0.0113%25 Sept →
nuke13–100.0523%25 Sept →
inferno13–60.0722%25 Sept →
anubis10–130.0025%24 Sept →
mirage7–13-0.0416%24 Sept →
nuke4–13-0.0430%23 Sept →
ancient14–160.0121%23 Sept →
anubis13–100.0518%23 Sept →
anubis5–00.1216%22 Sept →
mirage13–90.0410%22 Sept →
mirage6–13-0.0324%22 Sept →
anubis17–190.0213%22 Sept →
inferno14–16-0.0027%22 Sept →
dust213–110.0112%21 Sept →
mirage7–13-0.0624%21 Sept →
anubis4–130.0116%19 Sept →
cache13–20.0616%19 Sept →
dust214–16-0.0123%19 Sept →
dust29–13-0.0424%19 Sept →
dust27–13-0.0215%18 Sept →
dust213–8-0.0216%18 Sept →
mirage9–13-0.0720%18 Sept →
inferno13–40.0824%18 Sept →
nuke1–10-0.045%18 Sept →
anubis13–16-0.0411%18 Sept →
ancient7–130.0135%18 Sept →
mirage13–7-0.0211%17 Sept →
anubis14–160.0114%17 Sept →
mirage13–7-0.0215%17 Sept →
nuke13–20.0526%17 Sept →
nuke13–4-0.0815%16 Sept →
dust28–13-0.0227%16 Sept →
nuke7–13-0.0011%15 Sept →
nuke0–4-0.060%15 Sept →
mirage13–10-0.0525%15 Sept →
mirage12–16-0.0019%14 Sept →
dust24–13-0.0632%13 Sept →
ancient14–160.0113%12 Sept →
dust213–3-0.027%11 Sept →
mirage4–13-0.0217%11 Sept →
ancient13–9-0.0115%10 Sept →
cache14–16-0.0211%10 Sept →
mirage13–70.0917%10 Sept →
nuke11–130.0122%10 Sept →
mirage13–60.0210%10 Sept →
mirage8–13-0.0414%10 Sept →
nuke8–13-0.0332%10 Sept →
dust213–100.0114%9 Sept →
mirage1–13-0.068%9 Sept →
mirage7–13-0.0518%9 Sept →
anubis13–11-0.0312%9 Sept →
dust213–10-0.0335%9 Sept →
mirage9–13-0.0711%8 Sept →
mirage5–13-0.0115%8 Sept →
inferno13–5-0.0518%8 Sept →
mirage8–13-0.0410%8 Sept →
dust213–20.0128%8 Sept →
cache3–13-0.055%8 Sept →
inferno9–13-0.0216%7 Sept →
dust29–13-0.1021%7 Sept →
dust213–2-0.0413%7 Sept →
dust26–13-0.0624%7 Sept →
dust211–13-0.0612%7 Sept →
mirage4–130.0525%7 Sept →
inferno13–9-0.0524%6 Sept →
dust213–40.0221%6 Sept →
mirage13–11-0.0325%6 Sept →
inferno13–8-0.0120%6 Sept →
cache16–13-0.0416%6 Sept →
cache8–13-0.0512%5 Sept →
nuke13–100.0019%5 Sept →
inferno9–13-0.0118%5 Sept →
mirage8–13-0.0422%5 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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