Sciallo

Sciallo — CS2 Stats

IT76561198260960850[U:1:300695122]Steam profile ↗✓ No bans

2,862Tracked matches57%Win rate2023Tracked since
7,553Hours in CS46Hrs last 2 wks
CSDB Rating7.5 StrongPositional Player
Premier CS Rating22,550Top 25% of 213,399 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#49425 of 259985 tracked
FaceitLevel 9 · 2,240 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (4 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: 22,550 +2,204 3 Aug – 1 Nov · 27 days played
20,34622,897peak 22,8973 Aug1 Nov
22,897Peak Premier in tracked matches
2,240Highest Faceit ELO seen on CSDB
42Days played since 2026-08-03

Faceit ELO

  • At peak — 2,240
  • Next: 2,500 ELO at 2,500 — 260 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier CS Rating

  • 347 below peak (22,897)
  • +1,811 over 30 days · improving
  • +2,204 over 90 days
  • Next: Red band at 25,000 — 2,450 to go
  • Reached: Pink band · 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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate45.6%48.2%50.9%5.4% short
Shot accuracy5.5%13.2%13.7%8.2% short
Kill/death ratio0.971.071.090.12 short
Match win rate44.3%46.9%48.4%4.1% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGScialloFACEITLevel 9 · 2,240 ELOSTANDINGTop 20.7% of rankedPREMIER22,550 · Pink bandPEAK ELO2,240csdb.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

Aim78
Positioning77
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWLWLWLTLWW

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · −4.5pp headshot accuracy · −28ms reaction

Win rate down 40pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 500ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 529ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 543ms

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).

Aim7.8
Utility5.6
Positioning7.7
Opening Duels6.5
Clutch3.4

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

s1mple

Plays most like s1mple 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 568ms 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

Aim7.8
Positioning7.7
Utility5.6
Mechanics6.9
Opening Duels8.2
Win Impact7.4

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time558ms−5ms
first ⅓ avg 563ms → last ⅓ avg 558ms
Headshot accuracy20.1%+3.4%
first ⅓ avg 16.7% → last ⅓ avg 20.1%

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

0.16Best match rating · 13–1 · anubis, 21 Sept →
40%Best headshot accuracy · 13–16 · nuke, 23 Oct →
344msFastest reaction time · 9–5 · inferno, 4 Nov →
13–1Biggest win · ancient, 29 Oct →

Across the last 100 tracked matches.

Highlights

10Longest win streak
4–7In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 65% over 20dust2Weakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
anubisS2013–765%0.03
ancientD186–1233%0.03
mirageA1810–856%0.01
dust2D164–1225%0.02
cacheA95–456%0.03
infernoA74–357%-0.01
nukeA74–357%0.01
vertigo—21–150%0.01
debris—20–20%-0.05
eldorado—11–0100%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

138,145Lifetime kills
0.97K/D
7,814Matches
44.3%Match win rate
45.6%Headshot %
5.5%Shot accuracy
23,439MVPs
2,969Hours (in match)
10,424Bombs planted
3,120Bombs defused

Most-used weapons

AK-4750,771
AWP10,994
MP94,987
MAC-103,567
Knife2,746

Lifetime map wins

8,111dust2
6,834inferno
5,961vertigo
5,836nuke
1,432lake
562train
420office
136safehouse

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

Faceit stats

Combat

2,387Matches
50%Win rate
1.10Avg K/D
80.8ADR
47%Headshot %

Clutches & streaks

37%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage52650%1.0915.9
Anubis51052%1.1216.3
Dust239945%1.0616.4
Ancient38249%1.0517.2
Inferno17852%1.1616.1
Nuke16356%1.2517.4
Vertigo16249%1.1816.8
Train3839%0.9915.8

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.

20.1%Headshot accuracy
37.8%Accuracy (enemy spotted)
37.5%Spray accuracy
81.1%Counter-strafing
10.2°Preaim
568msReaction time
65.6%T opening success
60.0%CT opening success
0.59Enemies flashed / flash
9.3%Flash assists
6.64HE damage / grenade
8.77Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–50.0318%4 Nov →
dust210–130.0621%1 Nov →
inferno13–5-0.0220%1 Nov →
ancient5–13-0.0619%31 Oct →
mirage13–50.0316%31 Oct →
dust212–16-0.0117%30 Oct →
ancient15–150.0415%30 Oct →
mirage13–16-0.0317%30 Oct →
mirage13–70.1117%30 Oct →
anubis13–50.0115%29 Oct →
anubis13–5-0.0113%29 Oct →
ancient13–10.1516%29 Oct →
cache13–30.0136%29 Oct →
ancient13–90.0520%29 Oct →
dust216–130.0928%28 Oct →
cache13–8-0.0522%28 Oct →
anubis13–90.0313%28 Oct →
anubis13–80.0121%28 Oct →
ancient14–160.1321%28 Oct →
cache13–40.1331%27 Oct →
anubis4–130.0621%27 Oct →
dust27–130.0019%24 Oct →
mirage9–130.0215%24 Oct →
dust215–15-0.0311%23 Oct →
nuke13–16-0.0040%23 Oct →
anubis13–60.0624%23 Oct →
mirage13–40.0332%23 Oct →
inferno13–20.0914%23 Oct →
mirage2–13-0.1124%22 Oct →
dust211–130.0215%21 Oct →
cache6–130.0417%20 Oct →
dust216–130.0121%20 Oct →
ancient13–40.0416%20 Oct →
mirage13–40.0615%20 Oct →
mirage13–100.0217%14 Oct →
dust25–130.0313%10 Oct →
dust211–130.0423%4 Oct →
nuke12–160.0017%2 Oct →
dust210–130.0028%1 Oct →
inferno9–50.1023%29 Sept →
inferno0–9-0.2212%29 Sept →
eldorado9–70.0121%29 Sept →
vertigo8–13-0.0729%28 Sept →
mirage10–130.0516%27 Sept →
ancient28–310.0214%25 Sept →
anubis13–40.0722%25 Sept →
inferno14–160.0229%25 Sept →
ancient6–13-0.0118%23 Sept →
anubis13–50.0625%21 Sept →
anubis7–13-0.0323%21 Sept →
ancient13–90.0121%21 Sept →
anubis13–10.1633%21 Sept →
mirage4–13-0.0116%20 Sept →
cache7–13-0.0322%20 Sept →
ancient6–130.0012%20 Sept →
cache13–70.0523%20 Sept →
nuke2–130.0318%18 Sept →
debris8–80.0523%17 Sept →
ancient11–13-0.0220%16 Sept →
dust25–130.0219%15 Sept →
cache9–130.0219%15 Sept →
nuke13–90.0117%15 Sept →
mirage19–170.0119%15 Sept →
nuke13–3-0.0135%13 Sept →
anubis13–9-0.0115%12 Sept →
anubis6–13-0.0519%12 Sept →
mirage10–130.1328%11 Sept →
mirage13–20.1011%11 Sept →
dust213–80.0418%10 Sept →
dust25–130.0521%9 Sept →
cache11–130.0619%9 Sept →
ancient13–30.0319%8 Sept →
anubis13–80.0711%8 Sept →
anubis8–13-0.0525%8 Sept →
ancient6–130.0213%8 Sept →
vertigo13–70.0821%8 Sept →
anubis13–60.0811%8 Sept →
anubis13–16-0.0114%7 Sept →
dust210–130.0417%7 Sept →
ancient10–13-0.0111%7 Sept →
anubis13–100.0015%7 Sept →
nuke13–11-0.0113%5 Sept →
ancient7–13-0.0015%5 Sept →
ancient14–160.0921%5 Sept →
cache19–160.0113%5 Sept →
anubis13–110.0917%5 Sept →
mirage13–4-0.0314%5 Sept →
dust23–13-0.0419%5 Sept →
ancient13–5-0.0220%4 Sept →
anubis7–130.0513%29 Aug →
anubis5–13-0.0624%29 Aug →
ancient10–130.0218%28 Aug →
nuke13–30.0416%28 Aug →
dust213–90.0630%7 Aug →
mirage13–10-0.0017%4 Aug →
mirage10–13-0.0611%4 Aug →
mirage13–10.0221%3 Aug →
mirage7–13-0.0617%3 Aug →
inferno4–13-0.0412%3 Aug →
debris6–9-0.1414%3 Aug →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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