CICCOLELLA

CICCOLELLA — CS2 Stats

76561198198928699[U:1:238662971]Steam profile ↗✓ No bans

2,429Tracked matches45%Win rate2022Tracked since
1,424Hours in CS
CSDB Rating1.9 LearningClutch Specialist
Premier CS Rating2,113Grey band · top ~91% of ranked players (population est.)
CSDB Leaderboard#16127 of 20706 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGCICCOLELLAFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER2,113 · Grey bandcsdb.gg/stats

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Performance scores

Aim10
Positioning32
Utility4

0–100 skill scores via Leetify.

Recent form

STEADY48475Last 10048%Win rateWLLLWWLWWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim1.0
Aggression4.1
Utility0.4
Positioning3.2
Opening Duels0.0
Clutch10.0

Strong T-side openerLimited utility dependenceReliable in 1v1s

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 60% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

CT openings. Opening success drops from 39% on T to 21% on CT — first contacts on the defending side are being lost.

Reaction time. 817ms 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

Aim1.0
Positioning3.2
Utility0.4
Mechanics4.5
Opening Duels1.1
Win Impact3.3

Composite 1.9/10 (Learning), 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-0.04−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time814ms+68ms
first ⅓ avg 746ms → last ⅓ avg 814ms
Headshot accuracy14.3%−1.8%
first ⅓ avg 16.1% → last ⅓ avg 14.3%

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.

Highlights

0.15Best rating — mirage 13–3
130Biggest win — mirage
4Longest win streak
63In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 63% over 30anubisWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA30191163%-0.00
dust2C2181338%-0.01
infernoC1881044%-0.03
anubisD124833%-0.02
ancientC104640%-0.03
nukeD62433%-0.03
vertigo330100%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,172Lifetime kills
0.81K/D
3,756Matches
43.6%Match win rate
37.1%Headshot %
11.3%Shot accuracy
6,974MVPs
1,424Hours (in match)
1,809Bombs planted
654Bombs defused

Most-used weapons

Lifetime map wins

4,273inferno
3,694dust2
2,380vertigo
2,027italy
1,454nuke
214train
155office
139cbble

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

Faceit stats

Combat

66Matches
48%Win rate
0.62Avg K/D
59.4ADR
30%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage367%0.7411.7
Anubis1100%0.356.0
Inferno10%0.447.0

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.

14.7%Headshot accuracy
24.1%Accuracy (enemy spotted)
22.4%Spray accuracy
70.1%Counter-strafing
11.9°Preaim
817msReaction time
39.1%T opening success
21.2%CT opening success
0.17Enemies flashed / flash
3.8%Flash assists
7.87HE damage / grenade
0.67Flashes / 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 14.7174% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 816.8662ms — above the 700ms mark we flag

    Aim Training
  3. 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 0.1668 — below the 0.5 mark we flag

    Grenade Lineups
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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–6-0.056%13 Dec
anubis6–13-0.0417%20 Apr
inferno10–13-0.0919%7 Apr
inferno10–13-0.056%5 Apr
mirage13–7-0.0815%1 Apr
inferno13–8-0.0116%30 Mar
mirage7–13-0.0623%29 Mar
dust216–13-0.0222%24 Mar
inferno13–9-0.017%20 Mar
mirage8–130.0310%17 Mar
anubis13–9-0.026%17 Mar
dust28–13-0.0213%17 Mar
anubis13–1-0.008%17 Mar
inferno5–13-0.0319%10 Mar
dust24–9-0.0711%4 Mar
ancient10–20.0116%4 Mar
inferno13–5-0.0511%3 Mar
ancient9–13-0.039%2 Mar
inferno4–13-0.0313%24 Feb
ancient13–110.0115%24 Feb
mirage8–130.0322%24 Feb
dust215–15-0.0213%20 Feb
dust216–12-0.0023%19 Feb
inferno10–13-0.079%19 Feb
anubis4–13-0.0712%18 Feb
dust21–13-0.078%18 Feb
ancient13–10-0.069%18 Feb
anubis13–9-0.0633%17 Feb
nuke3–13-0.0925%17 Feb
mirage7–13-0.0819%17 Feb
ancient9–130.0218%16 Feb
dust28–13-0.0412%14 Feb
inferno13–8-0.118%14 Feb
anubis9–130.0312%13 Feb
mirage9–13-0.0511%12 Feb
mirage13–2-0.057%12 Feb
inferno13–6-0.013%11 Feb
nuke13–11-0.0320%10 Feb
mirage13–3-0.0020%9 Feb
dust214–160.0425%9 Feb
nuke6–13-0.014%9 Feb
ancient15–15-0.0624%7 Feb
inferno13–40.0821%7 Feb
dust216–140.0017%7 Feb
dust26–130.0411%6 Feb
inferno13–60.0514%5 Feb
mirage13–10-0.0123%5 Feb
dust27–13-0.0222%4 Feb
mirage13–6-0.0316%4 Feb
dust213–6-0.0331%3 Feb
mirage13–60.019%3 Feb
dust27–130.0517%3 Feb
mirage13–30.108%3 Feb
mirage13–8-0.047%3 Feb
dust24–13-0.0114%3 Feb
mirage13–20.0619%3 Feb
mirage13–00.0333%3 Feb
inferno1–8-0.065%3 Feb
dust29–130.0518%2 Feb
nuke13–60.0411%27 Jan
mirage6–13-0.035%27 Jan
anubis6–13-0.0610%26 Jan
ancient2–13-0.085%25 Jan
mirage13–5-0.0017%23 Jan
vertigo13–11-0.0812%20 Jan
mirage13–60.0416%20 Jan
ancient6–13-0.046%18 Jan
mirage13–110.0111%14 Jan
anubis7–130.0127%12 Jan
anubis0–5-0.080%11 Jan
mirage7–13-0.075%11 Jan
inferno2–13-0.0710%11 Jan
inferno10–13-0.0621%10 Jan
mirage11–10.1029%10 Jan
inferno14–16-0.0617%10 Jan
dust26–13-0.0718%10 Jan
anubis3–13-0.0122%9 Jan
mirage15–15-0.0315%9 Jan
anubis14–16-0.0613%9 Jan
mirage13–80.0218%9 Jan
dust213–16-0.0317%9 Jan
inferno8–13-0.0227%9 Jan
anubis13–70.1015%8 Jan
inferno16–14-0.0018%8 Jan
mirage13–30.1525%8 Jan
mirage10–13-0.0324%7 Jan
mirage12–12-0.068%7 Jan
ancient13–9-0.049%7 Jan
mirage2–13-0.0116%7 Jan
mirage13–20.0713%7 Jan
dust213–60.0324%7 Jan
dust216–12-0.0113%7 Jan
nuke15–15-0.0615%6 Jan
mirage13–40.0117%6 Jan
vertigo13–2-0.019%6 Jan
dust213–8-0.0322%6 Jan
dust213–8-0.0428%6 Jan
ancient9–13-0.007%6 Jan
vertigo16–120.049%5 Jan
nuke3–13-0.058%5 Jan

Match data via Leetify.

Milestones

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