Giovanni

Giovanni — CS2 Stats

US76561197997651299[U:1:37385571]Steam profile ↗✓ No bans

667Tracked matches50%Win rate2020Tracked since
CSDB Rating5.5 SolidClutch Specialist
Premier CS Rating9,486Light Blue band · top ~57.4% of ranked players (population est.)
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). 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: 9,486 +164 11 Aug – 16 Oct · 42 days played
7,97210,619peak 10,61911 Aug16 Oct
11,142Peak Premier in tracked matches
44Days played since 2026-08-11

Premier CS Rating

  • 1,133 below peak (10,619)
  • -1,133 over 30 days · declining
  • Next: Blue band at 10,000 — 514 to go
  • Reached: Blue band · Light Blue band

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

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CSDB.GGGiovanniPREMIER9,486 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim71
Positioning54
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWWTLWWLLLW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −0.5pp headshot accuracy · 0ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 603ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 625ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 625ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.5 against its own average).

Aim7.1
Utility6.7
Positioning5.4
Opening Duels2.0
Clutch9.4

Reliable 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.

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

Twistzz

Plays most like Twistzz 86% 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. 615ms 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

Aim7.1
Positioning5.4
Utility6.7
Mechanics8.1
Opening Duels1.9
Win Impact5.0

Composite 5.5/10 (Solid), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time612ms−6ms
first ⅓ avg 618ms → last ⅓ avg 612ms
Headshot accuracy13.0%−2.8%
first ⅓ avg 15.8% → last ⅓ avg 13.0%

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

0.10Best match rating · 13–5 · ancient, 10 Oct →
32%Best headshot accuracy · 4–13 · nuke, 6 Oct →
484msFastest reaction time · 0–7 · anubis, 14 Sept →
13–3Biggest win · train, 9 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
10–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 67% over 12ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC187–1139%-0.00
infernoA1810–856%0.04
dust2B178–947%0.01
cacheS128–467%0.02
nukeA116–555%0.01
anubisC104–640%-0.00
ancientD103–730%-0.00
train—21–150%0.02
rush_001—11–0100%-0.05
vertigo—11–0100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

19Matches
37%Win rate
0.72Avg K/D
60.8ADR
37%Headshot %

Clutches & streaks

67%1v1 clutch win
29%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage825%0.6211.0
Dust2650%0.7511.8
Ancient20%0.639.5
Anubis10%0.7311.0
Cache1100%1.3013.0
Inferno1100%0.8916.0

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.

13.5%Headshot accuracy
38.5%Accuracy (enemy spotted)
37.7%Spray accuracy
86.3%Counter-strafing
10.2°Preaim
615msReaction time
32.6%T opening success
42.8%CT opening success
0.65Enemies flashed / flash
3.2%Flash assists
10.18HE damage / grenade
12.00Flashes / 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 13.5432% — below the 15% mark we flag

    Aim Training →
  2. 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 32.5688% — below the 40% mark we flag

Spend your practice time on Ancient

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–100.0110%16 Oct →
rush_0018–7-0.0513%16 Oct →
mirage15–15-0.0111%16 Oct →
anubis5–130.0316%15 Oct →
inferno13–40.038%15 Oct →
anubis13–9-0.0111%15 Oct →
dust29–130.0216%13 Oct →
cache9–13-0.0515%13 Oct →
cache11–130.0310%13 Oct →
mirage13–80.0513%13 Oct →
nuke11–13-0.0219%12 Oct →
anubis6–13-0.049%11 Oct →
inferno3–130.0615%11 Oct →
ancient13–50.1012%10 Oct →
dust213–80.049%10 Oct →
train9–130.0315%9 Oct →
train13–30.019%9 Oct →
cache13–80.0319%9 Oct →
mirage10–130.039%9 Oct →
mirage15–150.0315%8 Oct →
cache13–9-0.0115%8 Oct →
nuke13–8-0.0211%8 Oct →
cache16–140.0316%7 Oct →
inferno13–80.0318%6 Oct →
nuke4–13-0.0332%6 Oct →
ancient8–130.037%6 Oct →
inferno10–130.018%4 Oct →
inferno10–130.0713%4 Oct →
dust29–13-0.0221%4 Oct →
mirage13–110.0413%2 Oct →
anubis13–80.0410%1 Oct →
mirage10–13-0.040%1 Oct →
inferno6–13-0.0610%29 Sept →
inferno13–70.0310%28 Sept →
cache9–130.0219%26 Sept →
ancient8–130.0118%26 Sept →
inferno6–130.0320%21 Sept →
nuke13–80.0313%21 Sept →
anubis0–13-0.0720%20 Sept →
mirage11–130.039%20 Sept →
nuke3–130.0115%20 Sept →
inferno13–80.0619%16 Sept →
ancient2–13-0.0623%15 Sept →
dust213–160.0721%15 Sept →
inferno13–50.087%15 Sept →
anubis0–7-0.088%14 Sept →
nuke7–130.0625%14 Sept →
mirage13–40.0915%14 Sept →
inferno16–13-0.0126%14 Sept →
inferno3–130.0119%13 Sept →
dust25–13-0.0315%13 Sept →
nuke4–13-0.0114%12 Sept →
cache13–90.0510%12 Sept →
dust213–70.0421%12 Sept →
anubis13–50.0523%11 Sept →
dust213–60.0719%11 Sept →
cache16–130.0718%8 Sept →
mirage13–11-0.0416%8 Sept →
anubis7–130.0011%8 Sept →
ancient13–10-0.0317%8 Sept →
ancient13–110.0716%7 Sept →
dust213–80.0923%7 Sept →
cache13–100.0414%7 Sept →
ancient14–160.0312%6 Sept →
dust213–70.0011%6 Sept →
cache8–130.0514%6 Sept →
nuke13–80.018%5 Sept →
mirage9–130.0114%3 Sept →
dust214–160.0719%2 Sept →
nuke13–90.047%1 Sept →
dust24–13-0.0010%1 Sept →
vertigo13–80.0317%29 Aug →
ancient7–13-0.0713%29 Aug →
dust26–13-0.0521%29 Aug →
mirage6–13-0.0713%27 Aug →
mirage12–12-0.0119%27 Aug →
dust212–12-0.0312%27 Aug →
anubis13–40.0323%25 Aug →
inferno13–60.0914%24 Aug →
mirage1–13-0.1115%24 Aug →
cache13–80.0210%22 Aug →
ancient8–13-0.0612%22 Aug →
inferno6–130.0225%22 Aug →
dust28–13-0.0815%20 Aug →
mirage3–13-0.0714%19 Aug →
inferno13–110.0713%18 Aug →
inferno13–60.0421%18 Aug →
mirage13–80.0521%17 Aug →
anubis7–130.0312%17 Aug →
dust213–5-0.0123%15 Aug →
mirage8–13-0.0216%15 Aug →
nuke13–100.0520%15 Aug →
dust213–6-0.0314%15 Aug →
inferno13–110.0218%15 Aug →
mirage13–110.0111%13 Aug →
dust216–14-0.0614%13 Aug →
nuke13–70.0313%13 Aug →
ancient4–13-0.0214%13 Aug →
inferno7–60.0417%12 Aug →
cache13–11-0.0123%11 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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