NICCI ツ

NICCI ツ — CS2 Stats

76561199035664500[U:1:1075398772]Steam profile ↗✓ No bans

2,353Tracked matches52%Win rate2020Tracked since
2,494Hours in CS31Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating15,824Purple band · top ~25.1% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 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: 15,824 +3,341 7 Feb – 28 Sept · 31 days played
8,57216,302peak 16,3027 Feb28 Sept
16,661Peak Premier in tracked matches
43Days played since 2026-02-07

Premier CS Rating

  • 478 below peak (16,302)
  • +5,129 over 30 days · improving
  • +7,252 over 90 days
  • Next: Pink band at 20,000 — 4,176 to go
  • Reached: Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=14,745), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate49.2%46.8%48.2%above
Shot accuracy12.9%13.0%13.3%0.3% short
Kill/death ratio1.201.061.07above
Match win rate47.3%46.3%46.9%meets

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNICCI ツFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER15,824 · Purple bandcsdb.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

Aim65
Positioning49
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateWLLLWLWLWW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +2.4pp headshot accuracy · +26ms 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 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 578ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 626ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 613ms

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 (+1.9 against its own average).

Aim6.5
Utility4.2
Positioning4.9
Opening Duels1.4
Clutch1.4

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

sh1ro

Plays most like sh1ro 89% 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. 610ms 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

Aim6.5
Positioning4.9
Utility4.2
Mechanics5.0
Opening Duels3.6
Win Impact5.6

Composite 5.2/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time602ms−16ms
first ⅓ avg 619ms → last ⅓ avg 602ms
Headshot accuracy14.2%−1.7%
first ⅓ avg 15.9% → last ⅓ avg 14.2%

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

0.14Best match rating · 13–1 · inferno, 16 Sept →
34%Best headshot accuracy · 13–7 · mirage, 14 Sept →
422msFastest reaction time · 13–7 · cache, 23 Aug →
13–0Biggest win · cache, 23 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 83% over 6anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB2815–1354%0.02
dust2B189–950%0.01
cacheC188–1044%-0.00
ancientA148–657%0.03
anubisC83–538%0.03
nukeC83–538%-0.00
mirageS65–183%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,356Lifetime kills
1.20K/D · Top 25% of Level 8 players
3,759Matches
47.3%Match win rate · Top 50% of Level 8 players
49.2%Headshot % · Top 50% of Level 8 players
12.9%Shot accuracy
9,932MVPs
1,430Hours (in match)
4,387Bombs planted
909Bombs defused

Most-used weapons

AK-4726,352
AWP14,091
MP92,591
FAMAS2,514
MAC-102,304

Lifetime map wins

11,410inferno
4,483dust2
3,249nuke
2,532vertigo
1,483train
481cbble
270lake
130office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

553Matches
51%Win rate
1.08Avg K/D
70.8ADR
32%Headshot %

Clutches & streaks

27%1v1 clutch win
14%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno10261%1.1815.4
Anubis4943%0.9714.4
Ancient4953%0.9514.3
Overpass2662%1.1815.3
Nuke2255%1.1017.4
Dust22050%0.9313.3
Vertigo825%0.9915.3
Train30%1.0816.7

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.

14.8%Headshot accuracy
40.3%Accuracy (enemy spotted)
42.0%Spray accuracy
72.5%Counter-strafing
11.6°Preaim
610msReaction time
48.0%T opening success
40.5%CT opening success
0.64Enemies flashed / flash
0.7%Flash assists
5.04HE damage / grenade
5.98Flashes / 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 14.8254% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Anubis

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–6-0.0012%28 Sept →
dust26–13-0.0216%27 Sept →
ancient11–130.098%26 Sept →
anubis11–130.0920%26 Sept →
cache13–80.0220%26 Sept →
ancient7–13-0.069%26 Sept →
mirage13–100.0212%26 Sept →
cache10–130.0218%25 Sept →
dust213–20.0311%25 Sept →
mirage13–60.0322%25 Sept →
dust210–13-0.0423%23 Sept →
anubis15–150.0214%23 Sept →
cache13–8-0.0714%22 Sept →
anubis12–160.0321%22 Sept →
cache13–6-0.0113%22 Sept →
inferno13–7-0.005%22 Sept →
dust22–0-0.090%22 Sept →
ancient13–110.1014%22 Sept →
inferno13–30.134%22 Sept →
dust29–13-0.0715%20 Sept →
dust213–90.0322%20 Sept →
ancient7–13-0.0520%20 Sept →
cache8–13-0.0217%20 Sept →
ancient10–130.038%19 Sept →
dust213–20.0311%18 Sept →
nuke9–13-0.0214%18 Sept →
inferno13–110.0114%18 Sept →
inferno9–130.0222%17 Sept →
cache10–130.0116%17 Sept →
anubis13–110.0211%16 Sept →
anubis4–100.0812%16 Sept →
inferno13–10.1412%16 Sept →
inferno13–70.0421%16 Sept →
cache13–11-0.0620%16 Sept →
dust26–130.0620%16 Sept →
nuke13–90.0625%16 Sept →
cache11–13-0.0423%15 Sept →
dust213–80.1012%15 Sept →
inferno13–110.0422%14 Sept →
mirage13–40.0026%14 Sept →
mirage11–130.0019%14 Sept →
mirage13–70.1034%14 Sept →
inferno10–130.0419%12 Sept →
dust213–5-0.0318%12 Sept →
dust213–5-0.0031%11 Sept →
dust213–100.0528%11 Sept →
inferno8–13-0.0516%10 Sept →
inferno13–110.0113%10 Sept →
ancient13–40.034%9 Sept →
cache9–13-0.017%9 Sept →
ancient13–30.139%9 Sept →
dust210–130.0515%9 Sept →
inferno3–13-0.1017%7 Sept →
ancient13–7-0.0022%6 Sept →
inferno13–50.0410%5 Sept →
cache13–110.0324%5 Sept →
dust213–100.0114%5 Sept →
inferno8–130.0022%4 Sept →
inferno13–100.0312%2 Sept →
cache3–13-0.0014%2 Sept →
ancient13–70.1419%1 Sept →
inferno6–13-0.0123%31 Aug →
dust212–120.0614%31 Aug →
inferno3–4-0.0718%30 Aug →
inferno16–12-0.0115%30 Aug →
ancient13–9-0.0014%30 Aug →
cache14–16-0.0017%29 Aug →
dust27–13-0.0417%29 Aug →
inferno13–110.0714%28 Aug →
inferno10–130.0613%28 Aug →
dust215–15-0.0311%28 Aug →
nuke5–13-0.0419%27 Aug →
nuke9–13-0.0415%27 Aug →
mirage13–40.0720%27 Aug →
ancient11–13-0.0217%27 Aug →
inferno8–130.0019%27 Aug →
nuke13–30.0524%23 Aug →
ancient13–20.0324%23 Aug →
cache13–70.037%23 Aug →
anubis10–13-0.0614%23 Aug →
cache13–00.0811%23 Aug →
inferno7–130.0218%21 Aug →
inferno13–50.0822%21 Aug →
inferno13–110.0815%21 Aug →
inferno13–6-0.0314%21 Aug →
cache15–150.0120%20 Aug →
inferno13–70.0117%20 Aug →
nuke13–80.0716%18 Aug →
cache11–13-0.0325%19 Jul →
inferno15–15-0.0221%10 Jul →
inferno10–13-0.052%10 Jul →
anubis13–70.0920%6 Jul →
dust23–100.053%28 Jun →
nuke10–13-0.0614%19 Jun →
inferno3–13-0.0324%18 Jun →
nuke11–13-0.0216%10 Jun →
cache13–70.0518%2 Jun →
cache0–6-0.0311%25 May →
ancient13–110.0217%15 Feb →
ancient9–13-0.056%7 Feb →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.