NICORETTE®

NICORETTE® — CS2 Stats

SE76561199782355299[U:1:1822089571]Steam profile ↗✓ No bans

912Tracked matches40%Win rate2024Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating9,999Light Blue band · top ~54.9% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 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: 9,999 -2,999 22 Oct – 2 Nov · 14 days played
9,62112,998peak 12,99822 Oct2 Nov
13,346Peak Premier in tracked matches
45Days played since 2025-10-22

Premier CS Rating

  • 2,999 below peak (12,998)
  • Next: Blue band at 10,000 — 1 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGNICORETTE®FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER9,999 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim73
Positioning48
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY43–53–4Last 10043%Win rateWWLLLLWWWL

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · +3.1pp headshot accuracy · +75ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 544ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 616ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 578ms

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 (+2.1 against its own average).

Aim7.3
Utility4.0
Positioning4.8
Opening Duels2.2
Clutch0.0

Strong CT-side opener

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

b1t

Plays most like b1t 98% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 52% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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

Aim7.3
Positioning4.8
Utility4.0
Mechanics7.2
Opening Duels3.1
Win Impact1.7

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.05
first ⅓ avg 0.01 → last ⅓ avg -0.04
Reaction time566ms−73ms
first ⅓ avg 639ms → last ⅓ avg 566ms
Headshot accuracy19.9%+2.1%
first ⅓ avg 17.8% → last ⅓ avg 19.9%

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

0.62Best match rating · 9–0 · nuke, 2 Nov →
43%Best headshot accuracy · 2–13 · mirage, 14 Sept →
359msFastest reaction time · 2–9 · inferno, 7 Oct →
13–2Biggest win · train, 18 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
6–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 58% over 19overpassWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC2510–1540%-0.01
nukeA1911–858%0.03
mirageC177–1041%-0.03
dust2C145–936%-0.03
ancientB63–350%-0.03
overpassD61–517%-0.02
anubisD51–420%0.00
train—42–250%-0.03
vertigo—32–167%-0.08
poseidon—11–0100%0.00

Across the last 100 tracked matches.

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

Faceit stats

Combat

23Matches
57%Win rate
0.96Avg K/D
68.0ADR
56%Headshot %

Clutches & streaks

20%1v1 clutch win
18%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke862%0.7712.4
Inferno771%1.0114.0
Mirage367%0.7912.0
Anubis333%1.4817.0
Ancient10%0.417.0
Cache10%1.6024.0

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.

22.4%Headshot accuracy
32.6%Accuracy (enemy spotted)
28.8%Spray accuracy
82.4%Counter-strafing
8.7°Preaim
564msReaction time
32.8%T opening success
52.3%CT opening success
0.50Enemies flashed / flash
4.0%Flash assists
7.75HE damage / grenade
5.47Flashes / 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 0.4985 — below the 0.5 mark we flag

    Grenade Lineups →
  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 32.8422% — below the 40% mark we flag

Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–10-0.0724%2 Nov →
ancient13–100.0211%2 Nov →
dust24–13-0.0527%2 Nov →
anubis9–13-0.0519%15 Oct →
dust27–13-0.047%15 Oct →
nuke6–13-0.1217%15 Oct →
dust213–6-0.0616%15 Oct →
ancient13–70.0214%15 Oct →
dust213–11-0.0512%15 Oct →
mirage1–5-0.0311%15 Oct →
ancient4–13-0.0813%8 Oct →
overpass8–80.114%8 Oct →
ancient5–13-0.0628%8 Oct →
inferno2–9-0.185%7 Oct →
inferno9–60.008%7 Oct →
inferno5–9-0.0627%7 Oct →
vertigo3–9-0.270%7 Oct →
mirage13–11-0.0725%7 Oct →
inferno3–13-0.057%16 Sept →
nuke5–13-0.0810%16 Sept →
mirage13–6-0.0818%16 Sept →
mirage10–13-0.0232%16 Sept →
mirage2–13-0.1043%14 Sept →
inferno10–13-0.0133%14 Sept →
ancient8–13-0.0629%7 Sept →
inferno13–16-0.0215%30 Aug →
nuke10–130.0132%26 Aug →
nuke13–70.0842%25 Aug →
inferno13–50.0221%25 Aug →
anubis10–130.0219%25 Aug →
nuke13–6-0.0136%25 Aug →
inferno5–13-0.0527%25 Aug →
dust29–130.0123%24 Aug →
mirage13–50.0430%24 Aug →
nuke13–40.0129%24 Aug →
anubis13–100.0221%24 Aug →
mirage4–13-0.0512%24 Aug →
inferno13–70.0215%24 Aug →
inferno13–10-0.0123%22 Aug →
inferno8–80.0443%22 Aug →
mirage6–13-0.087%16 Aug →
anubis11–130.0323%7 Aug →
mirage13–9-0.0414%5 Aug →
inferno16–14-0.0426%5 Aug →
nuke16–14-0.0633%4 Aug →
nuke13–5-0.028%26 Mar →
mirage7–13-0.019%19 Mar →
anubis9–13-0.0111%19 Mar →
train13–2-0.0320%18 Mar →
overpass13–16-0.0029%10 Mar →
nuke16–12-0.0221%5 Mar →
mirage13–16-0.0329%5 Mar →
inferno6–9-0.039%3 Mar →
inferno7–90.0324%3 Mar →
inferno9–00.3124%3 Mar →
poseidon9–50.0014%3 Mar →
vertigo9–20.0019%3 Mar →
dust213–16-0.0616%25 Feb →
dust24–13-0.0826%28 Jan →
nuke13–2-0.0113%27 Jan →
mirage4–13-0.059%27 Jan →
dust24–13-0.0213%21 Jan →
inferno4–130.017%12 Jan →
nuke10–130.079%12 Jan →
nuke13–10-0.0313%28 Dec →
dust26–13-0.0818%25 Dec →
train13–16-0.0211%22 Dec →
inferno3–13-0.0111%22 Dec →
inferno12–12-0.0329%15 Dec →
mirage13–70.0134%15 Dec →
mirage8–13-0.089%14 Dec →
dust213–70.0013%12 Dec →
mirage13–40.0518%12 Dec →
inferno6–13-0.0416%12 Dec →
inferno13–11-0.0424%7 Dec →
dust213–2-0.0114%4 Dec →
dust213–10-0.0320%4 Dec →
mirage10–13-0.0119%30 Nov →
inferno11–130.0316%24 Nov →
dust24–13-0.0126%24 Nov →
train6–13-0.0611%6 Nov →
overpass8–13-0.0424%4 Nov →
overpass5–13-0.0810%3 Nov →
dust29–130.0224%3 Nov →
vertigo8–10.0215%3 Nov →
nuke5–9-0.0828%3 Nov →
nuke10–130.0929%2 Nov →
nuke9–00.6214%2 Nov →
train13–10-0.0113%2 Nov →
nuke9–50.1219%2 Nov →
overpass13–10-0.0510%1 Nov →
inferno12–12-0.0213%30 Oct →
nuke11–13-0.0112%23 Oct →
inferno13–10-0.0322%23 Oct →
nuke13–110.0218%23 Oct →
overpass11–13-0.0413%22 Oct →
mirage13–60.0428%22 Oct →
nuke12–160.0015%22 Oct →
ancient13–7-0.0414%22 Oct →
inferno13–7-0.048%22 Oct →

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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