NothingToEat

NothingToEat — CS2 Stats

CN76561198040176526[U:1:79910798]Steam profile ↗✓ No bans

296Tracked matches50%Win rate2025Tracked since
674Hours in CS4Hrs last 2 wks
CSDB Rating3.9 LearningPositional Player
Premier CS Rating13,208Blue band · top ~37.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (6 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: 13,208 +3,035 7 Jun – 6 Nov · 24 days played
9,28415,009peak 15,0097 Jun6 Nov
15,120Peak Premier in tracked matches
31Days played since 2026-06-07

Premier CS Rating

  • 1,801 below peak (15,009)
  • -757 over 90 days
  • Next: Purple band at 15,000 — 1,792 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-06
  • Blue band first seen 2026-09-06

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate35.5%42.0%44.4%8.9% short
Shot accuracy7.0%9.6%11.9%4.8% short
Kill/death ratio0.510.981.030.52 short
Match win rate42.0%43.8%45.2%3.3% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNothingToEatPREMIER13,208 · Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning48
Utility29

0–100 skill scores via Leetify.

Recent form

COLD51–41–8Last 10051%Win rateLLLTLWWLWT

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · +1.1pp headshot accuracy · +2ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 577ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 635ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 634ms

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 (+1.9 against its own average).

Aim4.2
Utility2.9
Positioning4.8
Opening Duels0.9

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

Twistzz

Plays most like Twistzz 79% 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. 647ms 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

Aim4.2
Positioning4.8
Utility2.9
Mechanics6.2
Opening Duels0.2
Win Impact5.0

Composite 3.9/10 (Learning), 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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time646ms+22ms
first ⅓ avg 624ms → last ⅓ avg 646ms
Headshot accuracy11.6%+2.3%
first ⅓ avg 9.3% → last ⅓ avg 11.6%

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

0.08Best match rating · 11–0 · inferno, 11 Jul →
27%Best headshot accuracy · 9–13 · nuke, 1 Aug →
406msFastest reaction time · 5–13 · mirage, 8 Jun →
13–1Biggest win · anubis, 16 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
7–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 75% over 8nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA2214–864%-0.03
ancientA1912–763%-0.03
dust2D155–1033%-0.03
mirageB157–847%-0.05
cacheS86–275%-0.02
anubisB84–450%-0.03
overpassD72–529%-0.07
nukeD61–517%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,838Lifetime kills
0.51K/D
1,449Matches
42.0%Match win rate
35.5%Headshot %
7.0%Shot accuracy
920MVPs
491Hours (in match)
863Bombs planted
119Bombs defused

Most-used weapons

Lifetime map wins

2,575dust2
1,538inferno
406nuke
261train
24aztec
24dust
22italy
20office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.7%Headshot accuracy
33.2%Accuracy (enemy spotted)
39.2%Spray accuracy
78.1%Counter-strafing
13.5°Preaim
647msReaction time
27.9%T opening success
31.5%CT opening success
0.37Enemies flashed / flash
2.2%Flash assists
8.48HE damage / grenade
5.90Flashes / 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 13.4878° — 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 11.689% — below the 15% mark we flag

    Aim Training →
  3. 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 0.3708 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.074%6 Nov →
cache5–13-0.0425%6 Nov →
inferno11–13-0.0516%3 Nov →
dust215–15-0.0510%30 Oct →
anubis8–13-0.0217%30 Oct →
cache13–80.028%18 Oct →
anubis13–10.0017%16 Sept →
nuke4–13-0.097%1 Sept →
mirage13–6-0.018%1 Sept →
dust215–150.0313%23 Aug →
ancient13–4-0.0310%23 Aug →
cache13–9-0.079%23 Aug →
dust214–16-0.0213%23 Aug →
mirage13–6-0.046%23 Aug →
ancient13–5-0.0117%14 Aug →
nuke9–13-0.0727%1 Aug →
ancient13–7-0.0410%1 Aug →
ancient8–13-0.059%26 Jul →
anubis4–13-0.090%26 Jul →
inferno13–9-0.0113%26 Jul →
cache5–13-0.028%25 Jul →
ancient9–13-0.065%25 Jul →
mirage12–120.048%25 Jul →
inferno6–13-0.0215%17 Jul →
dust213–90.0015%17 Jul →
dust215–150.0214%15 Jul →
cache13–8-0.0111%15 Jul →
ancient11–13-0.0512%15 Jul →
cache13–11-0.0616%12 Jul →
inferno13–5-0.017%12 Jul →
ancient10–13-0.066%12 Jul →
cache13–10-0.035%11 Jul →
dust213–2-0.0125%11 Jul →
inferno11–00.087%11 Jul →
inferno10–13-0.039%11 Jul →
dust211–13-0.0914%11 Jul →
inferno13–50.054%11 Jul →
inferno13–6-0.058%7 Jul →
dust210–13-0.0514%7 Jul →
inferno13–30.028%30 Jun →
ancient13–11-0.068%30 Jun →
anubis8–13-0.029%26 Jun →
ancient13–10-0.057%26 Jun →
dust213–6-0.038%25 Jun →
ancient4–13-0.034%25 Jun →
overpass1–13-0.047%25 Jun →
cache13–90.047%25 Jun →
overpass6–13-0.028%25 Jun →
inferno13–8-0.0813%24 Jun →
inferno13–70.017%24 Jun →
inferno13–6-0.0512%24 Jun →
inferno6–13-0.0811%24 Jun →
inferno9–5-0.0723%24 Jun →
ancient13–100.064%24 Jun →
anubis8–13-0.0523%24 Jun →
overpass4–13-0.085%23 Jun →
anubis13–9-0.017%23 Jun →
inferno13–6-0.0110%23 Jun →
inferno13–9-0.069%23 Jun →
mirage8–13-0.096%23 Jun →
mirage15–15-0.087%22 Jun →
ancient13–11-0.039%22 Jun →
inferno15–15-0.0310%22 Jun →
anubis13–60.004%22 Jun →
ancient13–6-0.080%22 Jun →
mirage3–13-0.0810%22 Jun →
dust26–13-0.1311%21 Jun →
mirage8–13-0.089%21 Jun →
ancient13–50.025%20 Jun →
inferno6–13-0.0710%20 Jun →
dust214–16-0.046%20 Jun →
inferno13–5-0.0114%20 Jun →
mirage15–15-0.073%20 Jun →
mirage13–70.006%20 Jun →
overpass13–11-0.065%14 Jun →
overpass8–13-0.108%13 Jun →
anubis13–6-0.0314%13 Jun →
dust213–10.0014%13 Jun →
ancient13–11-0.029%13 Jun →
ancient13–6-0.004%12 Jun →
nuke5–13-0.057%11 Jun →
ancient11–13-0.036%11 Jun →
inferno10–13-0.0115%11 Jun →
ancient13–6-0.0011%9 Jun →
mirage16–130.0110%9 Jun →
overpass13–10-0.108%9 Jun →
nuke7–13-0.0317%9 Jun →
dust213–60.027%9 Jun →
nuke11–13-0.0515%9 Jun →
mirage13–11-0.047%9 Jun →
mirage13–11-0.056%9 Jun →
overpass0–6-0.1014%9 Jun →
dust26–13-0.0121%8 Jun →
inferno5–13-0.157%8 Jun →
mirage13–8-0.0514%8 Jun →
mirage5–13-0.0914%8 Jun →
dust210–13-0.079%8 Jun →
nuke13–5-0.022%8 Jun →
mirage15–15-0.107%7 Jun →
inferno13–9-0.046%7 Jun →

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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