NutellaAndorrana

NutellaAndorrana — CS2 Stats

AD76561198059912985[U:1:99647257]Steam profile ↗VAC banned

567Tracked matches50%Win rate2021Tracked since
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating17,011Purple band · top ~20.4% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (14 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: 17,011 +7,932 24 Nov – 31 Oct · 26 days played
9,07917,840peak 17,84024 Nov31 Oct
18,554Peak Premier in tracked matches
788Highest Faceit ELO seen on CSDB
38Days played since 2025-11-24

Premier CS Rating

  • 829 below peak (17,840)
  • +955 over 30 days · improving
  • Next: Pink band at 20,000 — 2,989 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-22
  • Blue band first seen 2026-10-22

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.GGNutellaAndorranaFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER17,011 · Purple bandPEAK ELO788csdb.gg/stats

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Performance scores

Aim46
Positioning57
Utility55

0–100 skill scores via Leetify.

Recent form

COLD51–49Last 10051%Win rateLLLLWLLWWL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −1.3pp headshot accuracy · +46ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 605ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 610ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 587ms

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 (+1.4 against its own average).

Aim4.6
Utility5.5
Positioning5.7
Opening Duels3.2
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

ZywOo

Plays most like ZywOo 71% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 595ms 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

Aim4.6
Positioning5.7
Utility5.5
Mechanics4.3
Opening Duels4.9
Win Impact5.0

Composite 5.0/10 (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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time589ms−27ms
first ⅓ avg 617ms → last ⅓ avg 589ms
Headshot accuracy13.5%−1.7%
first ⅓ avg 15.2% → last ⅓ avg 13.5%

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 · 9–4 · nuke, 22 Mar →
31%Best headshot accuracy · 13–5 · inferno, 11 Feb →
375msFastest reaction time · 9–13 · ancient, 16 Feb →
13–2Biggest win · inferno, 4 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L4Current streak
10–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 75% over 8mirageWeakest map · 40% over 30
MapGradePlayedRecordWin rateAvg rating
mirageC3012–1840%-0.03
nukeA148–657%-0.00
ancientB147–750%-0.00
infernoB137–654%-0.00
cacheS86–275%-0.01
dust2C73–443%0.00
overpassB63–350%-0.03
anubisA53–260%0.02
poseidon—11–0100%0.02
train—11–0100%-0.03
vertigo—10–10%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 30). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

302Matches
52%Win rate
0.85Avg K/D
69.7ADR
35%Headshot %

Clutches & streaks

35%1v1 clutch win
15%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2861%0.9212.3
Inferno1741%0.7712.3
Ancient1338%0.7813.4
Nuke967%0.6511.8
Anubis8100%1.2615.0
Dust2560%1.0517.0
Overpass580%0.9212.4
Vertigo10%0.8214.0

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.

13.3%Headshot accuracy
32.0%Accuracy (enemy spotted)
37.1%Spray accuracy
69.4%Counter-strafing
11.3°Preaim
595msReaction time
56.3%T opening success
42.8%CT opening success
0.67Enemies flashed / flash
6.9%Flash assists
8.94HE damage / grenade
7.74Flashes / 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 13.3425% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

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

40% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–130.0117%31 Oct →
mirage9–13-0.036%18 Oct →
dust29–130.0122%18 Oct →
inferno11–13-0.085%18 Oct →
nuke13–110.0210%18 Oct →
mirage8–13-0.095%18 Oct →
mirage5–13-0.049%18 Oct →
mirage13–6-0.049%18 Oct →
cache13–80.0721%18 Oct →
ancient8–13-0.0317%17 Oct →
nuke13–10-0.0019%15 Oct →
mirage13–7-0.0312%15 Oct →
cache13–8-0.055%15 Oct →
mirage13–70.0319%13 Oct →
inferno7–90.0315%13 Oct →
anubis10–130.0311%12 Oct →
inferno13–50.0419%12 Oct →
dust212–16-0.0712%7 Oct →
nuke13–5-0.0113%7 Oct →
mirage14–16-0.039%7 Oct →
mirage13–40.0614%7 Oct →
overpass0–5-0.1114%6 Oct →
ancient13–70.0411%5 Oct →
mirage16–140.0213%5 Oct →
dust210–13-0.0518%5 Oct →
cache13–6-0.0417%5 Oct →
inferno8–13-0.0618%4 Oct →
inferno11–13-0.075%4 Oct →
ancient10–13-0.0325%4 Oct →
mirage13–5-0.0312%4 Oct →
cache13–50.0214%4 Oct →
nuke11–13-0.0316%4 Oct →
mirage5–13-0.0613%4 Oct →
cache13–30.0411%4 Oct →
mirage13–9-0.037%4 Oct →
cache4–13-0.0516%4 Oct →
inferno13–20.0612%4 Oct →
cache3–13-0.1116%4 Oct →
mirage10–13-0.1217%4 Oct →
nuke13–110.0117%29 Sept →
cache13–20.0110%29 Sept →
inferno13–4-0.036%29 Sept →
mirage13–60.0210%21 Apr →
ancient13–7-0.0011%26 Mar →
overpass13–6-0.0010%26 Mar →
inferno9–7-0.0419%22 Mar →
nuke9–40.128%22 Mar →
mirage2–13-0.0613%19 Mar →
nuke6–9-0.0719%19 Mar →
poseidon9–70.0215%13 Mar →
inferno6–13-0.0713%12 Mar →
mirage13–10-0.0422%12 Mar →
overpass12–160.0413%12 Mar →
mirage9–130.0211%6 Mar →
ancient13–100.018%6 Mar →
mirage10–13-0.0321%3 Mar →
mirage6–13-0.0121%2 Mar →
ancient10–13-0.053%2 Mar →
dust26–130.0119%26 Feb →
mirage13–70.0115%26 Feb →
ancient13–100.0418%23 Feb →
dust213–60.0313%23 Feb →
inferno13–20.0919%23 Feb →
anubis13–90.1229%23 Feb →
ancient10–13-0.0714%22 Feb →
nuke13–50.0510%22 Feb →
nuke16–14-0.0013%22 Feb →
mirage9–13-0.0513%16 Feb →
ancient9–13-0.057%16 Feb →
overpass8–10.0221%16 Feb →
anubis10–130.0115%12 Feb →
ancient5–13-0.0213%12 Feb →
inferno13–50.0031%11 Feb →
mirage10–13-0.0016%11 Feb →
anubis13–10-0.0127%10 Feb →
mirage16–14-0.0614%10 Feb →
ancient13–80.0514%10 Feb →
nuke4–130.0013%27 Jan →
ancient7–130.0519%26 Jan →
mirage9–13-0.0716%26 Jan →
mirage8–13-0.047%25 Jan →
overpass4–13-0.097%24 Jan →
anubis13–11-0.028%24 Jan →
nuke12–16-0.0220%24 Jan →
dust213–50.0316%24 Jan →
inferno13–90.0715%18 Jan →
train16–13-0.0313%25 Dec →
mirage10–13-0.069%2 Dec →
overpass13–11-0.019%2 Dec →
mirage6–13-0.0729%30 Nov →
nuke9–13-0.0519%30 Nov →
mirage1–13-0.0919%30 Nov →
ancient13–90.026%27 Nov →
nuke10–13-0.0318%27 Nov →
mirage13–50.0319%27 Nov →
mirage2–13-0.0719%26 Nov →
ancient13–90.0117%26 Nov →
nuke13–11-0.009%24 Nov →
vertigo5–9-0.056%24 Nov →
dust213–40.0415%24 Nov →

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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