nomnom

nomnom — CS2 Stats

76561198731744903[U:1:771479175]Steam profile ↗✓ No bans

603Tracked matches22%Win rate2026Tracked since
CSDB Rating3.9 LearningSupport
Premier CS Rating11,242Blue band · top ~48.3% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (3 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: 11,242 -786 2 Sept – 11 Oct · 24 days played
11,24213,647peak 13,6472 Sept11 Oct
13,943Peak Premier in tracked matches
1,025Highest Faceit ELO seen on CSDB
35Days played since 2026-08-19

Premier CS Rating

  • 2,405 below peak (13,647)
  • -2,293 over 30 days · declining
  • Next: Purple band at 15,000 — 3,758 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-23
  • Light Blue band first seen 2026-09-23

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGnomnomFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER11,242 · Blue bandPEAK ELO1,025csdb.gg/stats

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Performance scores

Aim50
Positioning41
Utility55

0–100 skill scores via Leetify.

Recent form

COLD35–58–7Last 10035%Win rateLLLLLLLLWW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −5.4pp headshot accuracy · −4ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 588ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 595ms

Last 20

  • 3–15–2 · 15% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 597ms

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 (+2.4 against its own average).

Aim5.0
Utility5.5
Positioning4.1
Opening Duels0.0
Clutch3.0

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 76% 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. 600ms 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

Aim5.0
Positioning4.1
Utility5.5
Mechanics6.5
Opening Duels0.0
Win Impact0.0

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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time599ms−61ms
first ⅓ avg 659ms → last ⅓ avg 599ms
Headshot accuracy15.0%−2.7%
first ⅓ avg 17.6% → last ⅓ avg 15.0%

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

0.09Best match rating · 13–4 · ancient, 3 Sept →
56%Best headshot accuracy · 6–8 · rush_001, 8 Oct →
406msFastest reaction time · 2–9 · inferno, 14 Sept →
13–2Biggest win · anubis, 1 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L8Current streak
6–11In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 57% over 7cacheWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2D258–1732%-0.05
infernoC146–843%-0.05
ancientD134–931%-0.03
mirageC114–736%-0.04
nukeC104–640%-0.03
cacheD92–722%-0.02
anubisA74–357%-0.03
rush_001—41–325%-0.02
debris—32–167%-0.01
vertigo—10–10%-0.18
poseidon—10–10%-0.04
boulder—10–10%0.00
eldorado—10–10%-0.08

Across the last 100 tracked matches.

Faceit stats

Combat

57Matches
51%Win rate
0.83Avg K/D
65.0ADR
41%Headshot %

Clutches & streaks

35%1v1 clutch win
13%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust22556%0.8512.0
Mirage1030%0.629.0
Cache771%1.2614.9
Ancient667%0.8913.5
Nuke425%0.7111.0
Anubis367%0.519.7
Inferno20%0.6813.0

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.

12.4%Headshot accuracy
31.6%Accuracy (enemy spotted)
30.8%Spray accuracy
79.1%Counter-strafing
10.3°Preaim
600msReaction time
29.9%T opening success
27.4%CT opening success
0.56Enemies flashed / flash
10.0%Flash assists
7.56HE damage / grenade
6.64Flashes / 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 12.4498% — below the 15% mark we flag

    Aim Training →
  2. 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 29.8723% — below the 40% mark we flag

Spend your practice time on Cache

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke11–130.0015%11 Oct →
ancient6–13-0.0713%11 Oct →
dust25–13-0.0910%10 Oct →
dust22–13-0.039%10 Oct →
rush_0016–80.0225%10 Oct →
cache11–13-0.014%9 Oct →
anubis7–130.056%9 Oct →
mirage10–13-0.0912%9 Oct →
anubis13–9-0.0511%8 Oct →
rush_0018–40.0825%8 Oct →
rush_0017–8-0.1121%8 Oct →
rush_0016–8-0.0956%8 Oct →
inferno6–13-0.0918%7 Oct →
nuke5–13-0.0112%7 Oct →
inferno13–80.0512%5 Oct →
ancient8–13-0.0511%5 Oct →
cache12–12-0.0310%5 Oct →
dust24–130.0021%5 Oct →
nuke15–15-0.109%2 Oct →
dust22–13-0.0813%2 Oct →
dust22–13-0.1121%2 Oct →
dust213–11-0.129%2 Oct →
dust213–7-0.0411%2 Oct →
mirage8–13-0.0818%1 Oct →
anubis9–13-0.0314%1 Oct →
dust28–13-0.075%1 Oct →
nuke5–130.0213%1 Oct →
anubis13–2-0.0321%1 Oct →
inferno13–11-0.0414%30 Sept →
dust214–16-0.0314%30 Sept →
dust23–13-0.079%29 Sept →
inferno15–15-0.0519%28 Sept →
cache9–13-0.0213%28 Sept →
dust25–13-0.0711%28 Sept →
dust211–13-0.0115%28 Sept →
dust211–13-0.0213%28 Sept →
inferno16–14-0.0523%25 Sept →
ancient4–13-0.0529%25 Sept →
mirage13–10-0.0123%24 Sept →
inferno4–13-0.076%24 Sept →
nuke13–9-0.0216%24 Sept →
ancient7–130.0413%19 Sept →
dust23–13-0.0713%19 Sept →
nuke13–7-0.0618%17 Sept →
dust213–90.0534%17 Sept →
inferno7–130.0111%17 Sept →
ancient13–7-0.0027%16 Sept →
mirage4–13-0.0711%16 Sept →
dust22–13-0.1227%16 Sept →
inferno6–9-0.016%14 Sept →
inferno2–9-0.2515%14 Sept →
inferno4–9-0.0332%13 Sept →
vertigo3–9-0.1814%13 Sept →
dust28–13-0.0316%13 Sept →
nuke13–6-0.0430%11 Sept →
ancient9–13-0.0211%11 Sept →
dust213–9-0.0421%11 Sept →
dust25–13-0.0516%10 Sept →
mirage8–13-0.0313%10 Sept →
dust213–11-0.0918%10 Sept →
dust213–8-0.0429%9 Sept →
inferno13–10-0.0518%9 Sept →
cache6–13-0.120%9 Sept →
debris9–60.0219%9 Sept →
ancient11–13-0.055%8 Sept →
inferno13–7-0.0020%8 Sept →
dust213–7-0.0415%8 Sept →
nuke4–13-0.0319%6 Sept →
mirage13–10-0.0313%6 Sept →
dust28–13-0.0813%6 Sept →
cache16–19-0.0421%4 Sept →
inferno9–5-0.0224%4 Sept →
mirage12–16-0.057%3 Sept →
nuke13–60.0513%3 Sept →
ancient13–40.0918%3 Sept →
ancient8–13-0.0617%2 Sept →
dust213–10-0.0529%2 Sept →
anubis13–11-0.0522%2 Sept →
debris9–70.0416%29 Aug →
ancient7–13-0.096%28 Aug →
inferno11–13-0.0417%28 Aug →
dust211–13-0.0417%28 Aug →
cache5–13-0.0221%27 Aug →
mirage1–130.0222%25 Aug →
cache13–20.058%25 Aug →
mirage13–20.0321%24 Aug →
ancient12–12-0.0318%24 Aug →
poseidon5–9-0.0433%24 Aug →
ancient13–7-0.0827%24 Aug →
cache13–6-0.0314%23 Aug →
mirage5–11-0.0823%23 Aug →
anubis15–15-0.057%23 Aug →
nuke5–13-0.0621%22 Aug →
anubis13–10-0.0713%21 Aug →
ancient13–6-0.0222%21 Aug →
mirage13–7-0.0411%21 Aug →
cache12–12-0.0214%19 Aug →
boulder8–130.0025%19 Aug →
debris8–8-0.0815%19 Aug →
eldorado4–9-0.0817%19 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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