nutella

nutella — CS2 Stats

IS76561198133296447[U:1:173030719]Steam profile ↗✓ No bans

3,282Tracked matches50%Win rate2021Tracked since
CSDB Rating5.6 SolidPositional Player
Premier CS Rating26,610Top 5% of 205,416 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)
CSDB Leaderboard#8332 of 252656 tracked
FaceitLevel 10 · 2,149 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (2 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: 26,610 -22 13 Aug – 15 Oct · 14 days played
26,39427,268peak 27,26813 Aug15 Oct
Faceit ELO: 2,149 +0 31 Aug – 21 Sept · 4 observations
2,1492,149peak 2,14931 Aug21 Sept
27,268Peak Premier in tracked matches
2,149Highest Faceit ELO seen on CSDB
47Days played since 2026-07-01

Faceit ELO

  • At peak — 2,149
  • Next: 2,500 ELO at 2,500 — 351 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-31
  • Level 9 first seen 2026-08-31

Premier CS Rating

  • 658 below peak (27,268)
  • -642 over 30 days · declining
  • Next: Gold band at 30,000 — 3,390 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-31
  • Pink band first seen 2026-08-31

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.GGnutellaFACEITLevel 10 · 2,149 ELOSTANDINGTop 12.4% of rankedPREMIER26,610 · Red bandPEAK ELO2,149csdb.gg/stats

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Performance scores

Aim70
Positioning59
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY57–41–2Last 10057%Win rateLWLWLLLLWW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −1.1pp headshot accuracy · +47ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 28%
  • Avg reaction 491ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 526ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 502ms

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).

Aim7.0
Utility4.7
Positioning5.9
Opening Duels3.3
Clutch3.4

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

donk

Plays most like donk 92% 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

Counter-strafing. Only 67% 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

Aim7.0
Positioning5.9
Utility4.7
Mechanics3.9
Opening Duels3.1
Win Impact5.0

Composite 5.6/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time507ms−54ms
first ⅓ avg 560ms → last ⅓ avg 507ms
Headshot accuracy23.2%+4.1%
first ⅓ avg 19.1% → last ⅓ avg 23.2%

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

0.10Best match rating · 8–13 · anubis, 23 Aug →
43%Best headshot accuracy · 3–13 · nuke, 26 Aug →
313msFastest reaction time · 12–12 · mirage, 20 Aug →
13–1Biggest win · anubis, 30 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

anubisBest map · 70% over 23dust2Weakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
ancientB2512–1348%-0.01
anubisS2316–770%0.01
nukeS1510–567%0.02
cacheA117–464%0.00
dust2D103–730%-0.03
mirageA53–260%-0.01
vertigoA53–260%0.02
shelter—21–150%-0.01
train—10–10%-0.03
office—11–0100%0.07
inferno—10–10%0.06
boulder—11–0100%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,994Matches
51%Win rate
1.00Avg K/D
74.8ADR
52%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis46252%1.0415.6
Ancient46050%1.0015.6
Nuke34859%1.0015.1
Dust214740%0.9514.6
Vertigo12561%1.2017.2
Train10057%1.0315.3
Cache7959%0.9113.5
Mirage7831%0.8313.1

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.

24.3%Headshot accuracy
33.3%Accuracy (enemy spotted)
38.7%Spray accuracy
67.4%Counter-strafing
11.4°Preaim
507msReaction time
43.6%T opening success
41.1%CT opening success
0.41Enemies flashed / flash
3.6%Flash assists
6.81HE damage / grenade
6.66Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4081 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.0028%15 Oct →
mirage13–80.0927%15 Oct →
ancient7–13-0.0430%12 Oct →
anubis13–110.0323%12 Oct →
ancient8–130.0231%6 Oct →
anubis7–13-0.0615%6 Oct →
cache3–13-0.0324%30 Sept →
train9–13-0.0321%29 Sept →
cache13–4-0.0714%26 Sept →
cache13–90.0226%25 Sept →
dust29–13-0.0418%23 Sept →
vertigo10–130.0331%23 Sept →
ancient10–130.0327%23 Sept →
anubis13–7-0.0131%20 Sept →
anubis1–13-0.0519%13 Sept →
ancient11–130.0225%12 Sept →
anubis13–110.0421%9 Sept →
nuke16–120.0328%9 Sept →
vertigo13–40.0124%8 Sept →
office13–70.0727%6 Sept →
ancient13–80.0621%6 Sept →
cache13–16-0.0319%6 Sept →
cache13–50.0015%6 Sept →
dust213–70.0335%5 Sept →
vertigo8–130.0421%5 Sept →
nuke13–110.0330%5 Sept →
dust213–160.0024%5 Sept →
anubis13–100.0419%2 Sept →
mirage13–80.0122%2 Sept →
anubis14–160.0130%2 Sept →
ancient13–80.0615%2 Sept →
dust213–4-0.0614%1 Sept →
ancient13–90.0216%31 Aug →
ancient13–11-0.0213%30 Aug →
anubis13–1-0.0226%30 Aug →
ancient11–13-0.0525%30 Aug →
ancient11–13-0.0317%29 Aug →
dust28–13-0.0813%29 Aug →
anubis13–50.0020%28 Aug →
ancient13–100.038%28 Aug →
ancient13–50.0212%28 Aug →
ancient13–8-0.0320%28 Aug →
nuke13–40.0119%27 Aug →
cache13–10.0719%27 Aug →
anubis3–13-0.0913%26 Aug →
nuke3–130.0343%26 Aug →
dust24–13-0.0325%26 Aug →
nuke13–80.0820%26 Aug →
anubis13–70.0024%25 Aug →
mirage4–13-0.1221%25 Aug →
dust210–13-0.0317%25 Aug →
ancient10–13-0.0619%25 Aug →
cache13–80.0627%23 Aug →
anubis8–130.1025%23 Aug →
mirage12–12-0.078%20 Aug →
nuke13–4-0.0021%20 Aug →
ancient13–7-0.0025%20 Aug →
anubis13–110.0219%20 Aug →
cache13–70.0839%19 Aug →
anubis13–30.0330%19 Aug →
ancient7–130.0023%19 Aug →
anubis13–8-0.0119%19 Aug →
anubis3–13-0.0819%19 Aug →
nuke8–130.0030%19 Aug →
ancient0–13-0.0614%15 Aug →
anubis3–13-0.0033%14 Aug →
inferno9–130.0624%14 Aug →
ancient13–11-0.0231%13 Aug →
cache13–8-0.0331%13 Aug →
ancient7–13-0.096%10 Aug →
anubis13–7-0.0112%10 Aug →
nuke14–16-0.0011%10 Aug →
mirage13–90.0418%8 Aug →
vertigo13–7-0.0131%4 Aug →
vertigo13–50.0012%4 Aug →
cache11–130.0331%4 Aug →
nuke13–80.0128%4 Aug →
anubis13–70.0823%4 Aug →
nuke13–6-0.0226%3 Aug →
nuke16–120.0620%3 Aug →
anubis13–80.0018%30 Jul →
nuke13–70.0119%28 Jul →
ancient16–14-0.0516%28 Jul →
anubis13–70.0717%27 Jul →
nuke5–130.0021%26 Jul →
dust22–13-0.088%21 Jul →
ancient2–130.0223%21 Jul →
cache10–13-0.0613%21 Jul →
anubis13–80.0818%19 Jul →
ancient5–13-0.1122%18 Jul →
shelter12–12-0.0217%14 Jul →
boulder13–5-0.0817%13 Jul →
shelter13–80.0119%13 Jul →
dust20–13-0.0422%10 Jul →
nuke13–50.0026%10 Jul →
ancient7–13-0.0414%9 Jul →
anubis13–80.0422%9 Jul →
dust213–100.0416%9 Jul →
ancient13–50.1012%8 Jul →
ancient13–10-0.0213%1 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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