Mr. Nicolini

Mr. Nicolini — CS2 Stats

DE76561198064082974[U:1:103817246]Steam profile ↗✓ No bans

498Tracked matches54%Win rate2020Tracked since
CSDB Rating4.4 DevelopingSupport
FaceitLevel 6 · 1,274 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 498 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 50 days played since 23 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,957 -2,027 23 Nov – 5 Jul · 14 days played
16,18419,254peak 19,25423 Nov5 Jul
Faceit ELO: 1,274 +0 12 Sept – 24 Sept · 2 observations
1,2741,274peak 1,27412 Sept24 Sept
19,254Peak Premier in tracked matches
1,274Highest Faceit ELO seen on CSDB
50Days played since 2025-11-23

Faceit ELO

  • At peak — 1,274
  • Next: Level 7 at 1,351 — 77 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-12
  • Level 5 first seen 2026-09-12

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.GGMr. NicoliniFACEITLevel 6 · 1,274 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,274csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim51
Positioning44
Utility57

0–100 skill scores via Leetify.

Recent form

COLD48–43–9Last 10048%Win rateLLLTWLLLLW

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +2.0pp headshot accuracy · −63ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 561ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 624ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 656ms

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 (+2.7 against its own average).

Aim5.1
Utility5.7
Positioning4.4
Opening Duels1.0
Clutch0.8

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 75% 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. 645ms 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

Aim5.1
Positioning4.4
Utility5.7
Mechanics5.4
Opening Duels1.5
Win Impact6.2

Composite 4.4/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time647ms+35ms
first ⅓ avg 613ms → last ⅓ avg 647ms
Headshot accuracy17.5%−0.3%
first ⅓ avg 17.8% → last ⅓ avg 17.5%

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

0.19Best match rating · 13–2 · mirage, 26 May →
37%Best headshot accuracy · 3–13 · office, 30 Nov →
453msFastest reaction time · 13–2 · inferno, 2 Feb →
13–0Biggest win · inferno, 4 Dec →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
6–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 67% over 15cacheWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoC3113–1842%-0.01
mirageS1510–567%0.03
dust2A148–657%0.00
cacheD103–730%0.01
anubisB63–350%0.00
overpassB63–350%-0.01
vertigoA53–260%0.04
ancient—41–325%0.03
office—42–250%0.02
nuke—32–167%0.00
train—20–20%-0.05

Across the last 100 tracked matches.

Faceit stats

Combat

106Matches
54%Win rate
1.21Avg K/D
73.2ADR
38%Headshot %

Clutches & streaks

24%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage850%1.0515.3
Inferno5100%1.7018.6
Dust2540%1.2414.6
Anubis40%0.9914.5
Ancient333%0.499.3
Vertigo20%0.8116.0
Nuke10%0.6911.0

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.

17.6%Headshot accuracy
32.1%Accuracy (enemy spotted)
35.1%Spray accuracy
74.1%Counter-strafing
10.7°Preaim
645msReaction time
41.7%T opening success
27.4%CT opening success
0.50Enemies flashed / flash
4.0%Flash assists
8.27HE damage / grenade
7.27Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 27.4249% — 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.

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

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno6–9-0.0716%20 Sept →
inferno7–13-0.0014%18 Sept →
anubis8–130.0221%17 Sept →
anubis12–12-0.0314%17 Sept →
inferno13–7-0.0112%12 Sept →
mirage10–130.0130%4 Sept →
inferno5–13-0.0421%2 Sept →
vertigo5–130.0322%1 Aug →
inferno7–13-0.099%1 Aug →
mirage13–10-0.0217%5 Jul →
cache9–130.0616%5 Jul →
cache10–13-0.0121%28 Jun →
inferno13–100.029%27 Jun →
dust213–70.0514%16 Jun →
mirage13–20.0114%16 Jun →
overpass0–8-0.0720%14 Jun →
overpass7–13-0.022%26 May →
mirage13–20.1925%26 May →
dust213–8-0.1121%24 May →
overpass5–13-0.0914%24 May →
mirage13–50.0426%24 May →
mirage13–7-0.0029%22 May →
ancient15–15-0.0118%22 May →
inferno13–110.0617%22 May →
inferno5–130.0316%20 May →
anubis13–11-0.0020%20 May →
cache13–50.0330%19 May →
cache13–30.1315%18 May →
inferno13–11-0.0012%18 May →
inferno9–13-0.0316%18 May →
anubis13–40.0416%18 May →
cache8–130.0217%18 May →
inferno13–20.0614%18 May →
ancient13–50.0919%18 May →
mirage13–40.1514%15 May →
inferno11–13-0.0619%15 May →
mirage11–13-0.038%14 May →
inferno16–140.0021%14 May →
inferno5–9-0.1423%14 May →
dust213–50.0614%13 May →
dust27–130.0321%11 May →
inferno9–13-0.0411%9 May →
cache7–13-0.0210%8 May →
cache4–10-0.0627%8 May →
cache13–20.0213%8 May →
mirage13–60.0717%3 May →
cache7–13-0.0517%3 May →
mirage2–13-0.1021%1 May →
inferno13–70.0225%1 May →
cache12–12-0.0113%1 May →
inferno4–13-0.057%24 Apr →
train3–13-0.0315%24 Apr →
train1–13-0.0810%24 Apr →
vertigo13–70.0715%12 Apr →
dust213–50.0419%12 Apr →
mirage13–6-0.0025%12 Apr →
ancient15–150.0415%10 Apr →
vertigo12–12-0.0113%10 Apr →
nuke13–80.0422%26 Mar →
dust28–13-0.0516%22 Mar →
inferno4–80.0615%21 Mar →
inferno7–130.0319%21 Mar →
anubis13–5-0.0315%21 Mar →
dust213–90.0715%20 Mar →
mirage7–13-0.0415%18 Mar →
office13–7-0.0018%18 Mar →
office13–30.0216%18 Mar →
dust213–90.0415%14 Mar →
overpass12–20.0723%14 Mar →
overpass12–110.0510%14 Mar →
inferno15–150.0216%8 Mar →
nuke13–90.0512%8 Mar →
anubis14–160.0116%8 Mar →
inferno13–2-0.029%2 Feb →
inferno13–4-0.0133%30 Jan →
ancient15–15-0.029%29 Jan →
dust27–13-0.0219%29 Jan →
overpass13–9-0.0210%20 Jan →
inferno11–130.0218%13 Jan →
inferno13–30.0115%7 Jan →
inferno13–90.0017%7 Jan →
mirage16–130.0621%7 Jan →
dust213–6-0.0015%20 Dec →
inferno15–150.0111%20 Dec →
mirage13–30.1018%20 Dec →
inferno10–13-0.0418%20 Dec →
mirage12–120.0114%20 Dec →
dust216–14-0.0224%17 Dec →
nuke5–13-0.0820%17 Dec →
vertigo10–00.1428%17 Dec →
vertigo13–8-0.0313%17 Dec →
inferno7–13-0.0415%16 Dec →
dust28–13-0.0422%13 Dec →
inferno11–13-0.0419%13 Dec →
dust29–13-0.027%4 Dec →
inferno13–0-0.0222%4 Dec →
inferno13–10-0.0116%30 Nov →
office3–130.0537%30 Nov →
office11–130.0024%27 Nov →
dust29–13-0.0021%23 Nov →

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 →