Giovanni Fratelli

Giovanni Fratelli — CS2 Stats

76561198157106077[U:1:196840349]Steam profile ↗✓ No bans

412Tracked matches69%Win rate2025Tracked since
CSDB Rating6.0 SolidPositional Player
Premier CS Rating12,717Blue band · top ~40.5% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 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.

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. 38 days played since 5 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 12,717 +602 5 May14 Sept · 24 days played
9,58113,675peak 13,6755 May14 Sept
Faceit ELO: 1,103 +0 28 Aug30 Aug · 2 observations
1,1031,103peak 1,10328 Aug30 Aug
13,869Peak Premier in tracked matches
1,103Highest Faceit ELO seen on CSDB
38Days played since 2026-05-05

Premier CS Rating

  • 958 below peak (13,675)
  • -397 over 30 days · steady
  • +2,822 over 90 days
  • Next: Purple band at 15,000 2,283 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-28
  • Light Blue band first seen 2026-08-28

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.GGGiovanni FratelliFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER12,717 · Blue bandPEAK ELO1,103csdb.gg/stats

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Performance scores

Aim59
Positioning62
Utility50

0–100 skill scores via Leetify.

Recent form

HOT54424Last 10054%Win rateLWWWTWWWWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +1.6pp headshot accuracy · −43ms 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

  • 311 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 591ms

Last 10

  • 721 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 628ms

Last 20

  • 1361 · 65% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 649ms

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 PlayerPositioning stands above the rest of this profile (+2 against its own average).

Aim5.9
Utility5.0
Positioning6.2
Opening Duels5.2
Clutch0.6

Limited utility dependence

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

ZywOo

Plays most like ZywOo 80% 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. 639ms 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

Aim5.9
Positioning6.2
Utility5.0
Mechanics6.7
Opening Duels5.2
Win Impact10.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time647ms−64ms
first ⅓ avg 711ms → last ⅓ avg 647ms
Headshot accuracy15.6%+0.7%
first ⅓ avg 14.9% → last ⅓ avg 15.6%

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

0.17Best match rating · 13–6 · nuke, 26 Aug
36%Best headshot accuracy · 13–3 · dust2, 14 Sept
469msFastest reaction time · 12–12 · inferno, 9 Sept
13–0Biggest win · inferno, 21 Jul

Across the last 100 tracked matches.

Highlights

7Longest win streak
67In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 70% over 20anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A42241857%-0.01
nukeS2014670%0.01
infernoD1651131%0.01
cacheA117464%-0.00
anubisD51420%-0.03
mirage31233%-0.00
ancient21150%-0.03
overpass110100%0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

97Matches
51%Win rate
0.81Avg K/D
68.8ADR
41%Headshot %

Clutches & streaks

23%1v1 clutch win
27%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust23465%0.9313.8
Nuke1164%1.1315.4
Inferno1060%0.8010.6
Mirage714%0.7312.4
Ancient333%0.599.7
Cache333%0.8712.3
Train250%0.5811.0
Anubis20%0.8015.5

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.

15.1%Headshot accuracy
35.5%Accuracy (enemy spotted)
35.4%Spray accuracy
79.9%Counter-strafing
10.4°Preaim
639msReaction time
50.8%T opening success
51.1%CT opening success
0.64Enemies flashed / flash
5.6%Flash assists
8.77HE damage / grenade
4.89Flashes / match

Recommended for you

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.

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

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.065%14 Sept
dust213–3-0.0436%14 Sept
dust219–16-0.0117%13 Sept
dust213–90.0315%9 Sept
inferno12–12-0.038%9 Sept
dust213–60.0018%8 Sept
dust213–70.0318%7 Sept
dust213–110.0314%7 Sept
dust213–11-0.0214%7 Sept
dust26–13-0.0614%3 Sept
nuke13–50.0616%3 Sept
nuke13–80.0314%2 Sept
nuke7–13-0.0514%2 Sept
dust211–13-0.0413%2 Sept
cache13–90.0312%29 Aug
inferno13–60.0424%29 Aug
dust213–70.0312%29 Aug
nuke13–80.1416%29 Aug
dust29–13-0.068%29 Aug
nuke6–13-0.0914%29 Aug
dust213–80.0420%26 Aug
cache13–100.0016%26 Aug
nuke13–60.1716%26 Aug
nuke13–90.0321%25 Aug
dust213–4-0.0513%25 Aug
nuke13–70.0218%18 Aug
dust213–8-0.0118%18 Aug
cache9–13-0.0511%17 Aug
cache10–13-0.048%17 Aug
nuke9–130.0114%26 Jul
cache13–100.0617%26 Jul
nuke16–14-0.0017%26 Jul
dust213–3-0.0120%26 Jul
inferno8–130.0312%25 Jul
dust213–70.0319%25 Jul
inferno13–11-0.0018%25 Jul
cache6–13-0.0412%25 Jul
dust213–70.0112%24 Jul
dust215–15-0.0311%24 Jul
dust216–120.0412%24 Jul
inferno3–130.0115%24 Jul
nuke13–30.0417%24 Jul
nuke5–13-0.0217%23 Jul
mirage7–00.100%23 Jul
dust21–13-0.0321%23 Jul
dust213–6-0.0614%22 Jul
nuke13–11-0.0711%22 Jul
dust213–30.0213%22 Jul
nuke10–13-0.0225%22 Jul
cache13–60.069%21 Jul
inferno13–00.1219%21 Jul
nuke4–13-0.009%21 Jul
cache13–100.0311%21 Jul
cache15–15-0.014%20 Jul
dust213–6-0.0111%20 Jul
dust25–13-0.067%12 Jul
cache13–6-0.0413%29 Jun
anubis5–13-0.0513%29 Jun
inferno13–60.0411%29 Jun
overpass13–100.0217%28 Jun
dust27–13-0.0413%28 Jun
ancient13–90.037%28 Jun
anubis11–130.0115%28 Jun
anubis7–13-0.0318%12 Jun
inferno7–13-0.0418%12 Jun
dust214–16-0.0713%11 Jun
inferno13–160.0031%9 Jun
ancient4–13-0.0911%9 Jun
inferno16–140.0816%8 Jun
nuke13–100.029%8 Jun
dust213–7-0.0116%8 Jun
nuke13–10-0.0620%8 Jun
dust22–13-0.0919%7 Jun
dust213–7-0.0115%7 Jun
mirage8–13-0.0118%3 Jun
dust213–7-0.0025%3 Jun
dust21–130.0112%3 Jun
dust213–2-0.0027%2 Jun
dust214–16-0.0224%2 Jun
dust213–10.137%2 Jun
inferno11–130.0214%1 Jun
nuke13–40.0818%31 May
dust28–13-0.0418%31 May
dust28–13-0.019%31 May
mirage9–13-0.1025%26 May
inferno11–130.0127%26 May
cache13–9-0.055%19 May
dust212–12-0.0321%19 May
dust25–13-0.054%18 May
nuke13–5-0.087%13 May
inferno9–13-0.0510%13 May
inferno11–13-0.039%13 May
dust27–13-0.0510%13 May
dust29–13-0.0115%12 May
inferno9–13-0.0323%12 May
dust23–13-0.0517%11 May
inferno10–13-0.052%5 May
nuke13–60.0619%5 May
anubis16–13-0.009%5 May
dust213–9-0.048%5 May

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 →