Ceruttera

Ceruttera — CS2 Stats

EG76561198262803490[U:1:302537762]Steam profile ↗✓ No bans

3,606Tracked matches53%Win rate2021Tracked since
CSDB Rating6.5 SolidSupport
Premier CS Rating23,091Top 25% of 212,133 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)
CSDB Leaderboard#42366 of 259029 tracked
FaceitLevel 10 · 3,252 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (29 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 23,091 → 23,091
0Faceit ELO · 3,252 → 3,252
+56Tracked matches · now 3,606
−16.7ppWin rate · 70.0% → 53.3%

Rating over time

Premier CS Rating: 23,091 +0 30 Aug – 2 Oct · 7 observations
23,09123,091peak 23,09130 Aug2 Oct
Faceit ELO: 3,252 +0 30 Aug – 2 Oct · 7 observations
3,2523,252peak 3,25230 Aug2 Oct
23,091Peak Premier on CSDB
3,252Highest Faceit ELO seen on CSDB
60Days played since 2024-10-29

Faceit ELO

  • At peak — 3,252
  • 0 over 30 days · steady
  • Next: 3,500 ELO at 3,500 — 248 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-30
  • 2,500 ELO first seen 2026-08-30

Premier CS Rating

  • At peak — 23,091
  • 0 over 30 days · steady
  • Next: Red band at 25,000 — 1,909 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-30
  • Purple band first seen 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.GGCerutteraFACEITLevel 10 · 3,252 ELOSTANDINGTop 12.4% of rankedPREMIER23,091 · Pink band30 DAYS0 ELOPEAK ELO3,252csdb.gg/stats

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Performance scores

Aim88
Positioning51
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateWLLLLLLWWW

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +1.5pp headshot accuracy · +19ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 27%
  • Avg reaction 492ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 475ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 466ms

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 (+2.3 against its own average).

Aim8.8
Utility6.7
Positioning5.1
Opening Duels1.9
Clutch3.8

Sharp aimer

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

iM

Plays most like iM 84% playstyle similarity

Most alike: aim profile, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

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

Aim8.8
Positioning5.1
Utility6.7
Mechanics6.0
Opening Duels1.6
Win Impact6.1

Composite 6.5/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time458ms−63ms
first ⅓ avg 521ms → last ⅓ avg 458ms
Headshot accuracy24.5%+2.6%
first ⅓ avg 22.0% → last ⅓ avg 24.5%

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

0.15Best match rating · 13–11 · overpass, 19 Apr →
43%Best headshot accuracy · 2–13 · cache, 29 Oct →
297msFastest reaction time · 13–6 · train, 23 Oct →
13–1Biggest win · dust2, 9 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–12In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 73% over 22infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2813–1546%0.01
mirageS2216–673%0.02
ancientB137–654%0.03
anubisB137–654%0.01
cacheA74–357%-0.02
nukeB63–350%0.00
infernoD51–420%0.02
train—31–233%-0.02
overpass—11–0100%0.15
grail—11–0100%0.12
vertigo—11–0100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,393Matches
56%Win rate
1.21Avg K/D
88.6ADR
54%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage128453%1.1817.4
Ancient81560%1.2317.7
Anubis80959%1.2417.6
Dust279755%1.1817.0
Nuke25653%1.1617.0
Vertigo10153%1.1716.2
Train5256%1.2918.4
Overpass4844%1.1617.8

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.

24.5%Headshot accuracy
36.8%Accuracy (enemy spotted)
41.2%Spray accuracy
76.9%Counter-strafing
9.3°Preaim
464msReaction time
29.3%T opening success
42.5%CT opening success
0.65Enemies flashed / flash
9.0%Flash assists
8.40HE damage / grenade
12.91Flashes / 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

    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 29.2899% — below the 40% mark we flag

Spend your practice time on Inferno

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.055%29 Oct →
dust210–130.0134%29 Oct →
cache2–13-0.0643%29 Oct →
dust216–190.0131%17 Oct →
nuke11–13-0.0525%9 Oct →
ancient10–130.0120%9 Oct →
ancient1–13-0.0121%9 Oct →
dust213–10.0219%9 Oct →
anubis13–60.037%1 Oct →
mirage13–110.0631%28 Sept →
dust213–50.1420%11 Sept →
mirage16–120.0213%11 Sept →
dust29–130.0123%6 Sept →
ancient14–160.0125%6 Sept →
ancient13–11-0.0324%4 Sept →
mirage13–5-0.0220%4 Sept →
cache13–3-0.0021%30 Aug →
ancient13–9-0.0114%30 Aug →
anubis9–130.0424%28 Aug →
nuke13–80.0237%28 Aug →
mirage10–13-0.0740%28 Aug →
cache13–10.0128%28 Aug →
mirage13–10.0225%28 Aug →
mirage13–7-0.0015%27 Aug →
anubis13–40.0523%27 Aug →
cache3–13-0.0338%27 Aug →
dust20–7-0.1133%27 Aug →
mirage9–30.1123%27 Aug →
mirage5–60.0438%27 Aug →
dust25–6-0.0333%27 Aug →
dust213–2-0.0318%26 Aug →
mirage13–100.0817%26 Aug →
cache13–110.0122%25 Aug →
ancient13–30.1225%25 Aug →
nuke13–40.0919%20 Aug →
anubis11–130.0213%11 Aug →
anubis19–160.0725%7 Aug →
dust216–130.0320%5 Aug →
dust213–80.0213%2 Aug →
dust222–200.0313%2 Aug →
cache1–13-0.0420%16 Jul →
anubis13–5-0.0220%14 Jul →
cache13–11-0.009%14 Jul →
ancient11–130.0118%28 Jun →
dust213–80.0627%19 Jun →
ancient13–70.0112%12 Jun →
mirage16–120.0222%11 Jun →
mirage13–50.0620%23 May →
mirage7–13-0.0128%9 May →
mirage11–13-0.0613%30 Apr →
overpass13–110.1516%19 Apr →
anubis13–70.0116%19 Mar →
dust210–130.0524%19 Mar →
ancient13–110.0519%12 Mar →
inferno9–130.0717%13 Feb →
mirage16–120.0320%21 Dec →
dust27–13-0.0422%13 Dec →
dust213–80.0923%13 Dec →
dust213–80.0524%7 Dec →
ancient13–30.0215%29 Nov →
dust210–13-0.0714%19 Nov →
mirage8–130.0219%4 Nov →
mirage13–110.0633%3 Nov →
dust210–13-0.0219%25 Oct →
inferno13–20.1129%25 Oct →
train6–130.0123%25 Oct →
ancient2–110.0328%24 Oct →
dust27–2-0.0318%24 Oct →
dust26–14-0.0226%24 Oct →
ancient2–20.0433%24 Oct →
nuke9–11-0.0620%24 Oct →
dust27–13-0.0217%23 Oct →
train13–6-0.0230%23 Oct →
nuke14–16-0.0224%23 Oct →
train6–13-0.0414%22 Oct →
inferno2–13-0.0427%22 Oct →
dust213–16-0.0122%18 Oct →
inferno4–13-0.0118%3 Oct →
dust214–160.0130%3 Oct →
mirage13–90.0323%3 Oct →
nuke13–60.0311%25 Sept →
mirage13–50.0117%25 Sept →
inferno7–130.0023%28 Aug →
dust28–130.0117%28 Aug →
dust214–160.0317%3 Aug →
dust213–110.0420%8 Jul →
mirage13–70.1128%6 Jul →
dust213–4-0.0429%1 Jul →
mirage9–13-0.0328%17 May →
anubis7–130.0225%17 May →
anubis5–13-0.0321%14 May →
anubis5–13-0.1011%13 May →
mirage13–7-0.0218%13 May →
grail13–80.1223%11 May →
anubis13–70.0435%20 Jan →
anubis13–6-0.0724%16 Jan →
dust213–10-0.0118%21 Nov →
anubis11–130.0315%10 Nov →
vertigo13–90.0310%6 Nov →
ancient13–70.1232%29 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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