Rizzy Fantano

Rizzy Fantano — CS2 Stats

US76561198967111340[U:1:1006845612]Steam profile ↗✓ No bans

3,020Tracked matches48%Win rate2022Tracked since
2,703Hours in CS37Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating23,494Top 25% of 204,150 CSDB-tracked playersPink band · top ~4.7% of ranked players (population est.)
CSDB Leaderboard#36576 of 251234 tracked
FaceitLevel 8 · 1,434 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+361Premier CS Rating · 23,133 → 23,494

Rating over time

Premier CS Rating: 23,494 +3,514 28 Aug – 11 Oct · 28 days played
19,98023,494peak 23,49428 Aug11 Oct
Faceit ELO: 1,434 +0 28 Aug – 10 Sept · 3 observations
1,4341,434peak 1,43428 Aug10 Sept
23,496Peak Premier in tracked matches
1,434Highest Faceit ELO seen on CSDB
25Days played since 2026-08-28

Faceit ELO

  • At peak — 1,434
  • Next: Level 8 at 1,531 — 97 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-08-28
  • Level 6 first seen 2026-08-28

Premier CS Rating

  • At peak — 23,494
  • +499 over 30 days · improving
  • Next: Red band at 25,000 — 1,506 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-10
  • Purple 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches142——
Win rate39%——
K/D1.09——
Headshot %57%——

Measured 10 Sep 2026 → 11 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=14,773), 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 8 medianLevel 9 medianvs Level 9
Headshot rate51.2%46.8%48.2%above
Shot accuracy4.2%13.0%13.3%9.0% short
Kill/death ratio1.141.061.07above
Match win rate44.7%46.3%46.9%2.2% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRizzy FantanoFACEITLevel 8 · 1,434 ELOSTANDINGTop 31.2% of rankedPREMIER23,494 · Pink bandPEAK ELO1,434csdb.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

Aim80
Positioning58
Utility12

0–100 skill scores via Leetify.

Recent form

STEADY45–49–6Last 10045%Win rateWLLLWWWLLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −5.1pp headshot accuracy · −10ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 577ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 587ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 27%
  • Avg reaction 592ms

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 (+2.3 against its own average).

Aim8.0
Utility1.2
Positioning5.8
Opening Duels2.9
Clutch4.2

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

ropz

Plays most like ropz 74% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower 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

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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 66% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 582ms 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

Aim8.0
Positioning5.8
Utility1.2
Mechanics6.2
Opening Duels5.6
Win Impact4.4

Composite 5.8/10 (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 rating-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time585ms+58ms
first ⅓ avg 528ms → last ⅓ avg 585ms
Headshot accuracy24.4%+2.4%
first ⅓ avg 22.0% → last ⅓ avg 24.4%

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 · 7–13 · mirage, 10 Oct →
100%Best headshot accuracy · 1–13 · mirage, 23 Sept →
414msFastest reaction time · 6–13 · ancient, 14 Sept →
13–1Biggest win · mirage, 20 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 60% over 5dust2Weakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
mirageC2712–1544%-0.00
dust2D217–1433%-0.01
infernoC167–944%-0.02
nukeA148–657%0.00
ancientC94–544%-0.01
cacheA53–260%-0.03
anubisA53–260%0.01
train—20–20%-0.01
overpass—11–0100%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,149Lifetime kills
1.14K/D · Top 50% of Level 8 players
3,940Matches
44.7%Match win rate
51.2%Headshot % · Top 50% of Level 8 players
4.2%Shot accuracy
11,244MVPs
1,473Hours (in match)
2,301Bombs planted
946Bombs defused

Most-used weapons

AK-4733,593
AWP4,566
MP73,030
Knife638

Lifetime map wins

7,644dust2
5,039nuke
4,909inferno
1,468vertigo
579train
238office
45ar_baggage
33italy

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

Faceit stats

Combat

726Matches
49%Win rate
1.16Avg K/D
88.9ADR
50%Headshot %

Clutches & streaks

41%1v1 clutch win
27%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust219747%1.1318.4
Mirage14145%1.0616.6
Nuke12758%1.3319.4
Inferno11752%1.2718.8
Anubis5034%0.9416.3
Ancient4542%1.0516.7
Vertigo2157%1.2418.6
Train1547%1.3018.0

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.

23.8%Headshot accuracy
36.6%Accuracy (enemy spotted)
40.2%Spray accuracy
78.0%Counter-strafing
9.7°Preaim
582msReaction time
65.7%T opening success
39.3%CT opening success
0.14Enemies flashed / flash
4.5%Flash assists
7.81HE damage / grenade
0.42Flashes / 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. 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 0.1382 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.3335% — below the 40% mark we flag

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.

33% win rate across 21 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
dust213–11-0.0424%11 Oct →
train6–13-0.0223%11 Oct →
inferno2–9-0.0624%10 Oct →
dust211–130.1038%10 Oct →
dust213–10-0.0610%10 Oct →
dust213–90.0032%10 Oct →
dust213–50.0715%10 Oct →
dust214–16-0.0124%10 Oct →
mirage7–130.1526%10 Oct →
overpass13–6-0.0327%9 Oct →
nuke13–6-0.0130%9 Oct →
mirage1–13-0.1250%9 Oct →
ancient13–90.0718%9 Oct →
dust26–130.0744%9 Oct →
cache13–9-0.0031%8 Oct →
inferno13–8-0.0223%8 Oct →
mirage16–12-0.0127%7 Oct →
inferno13–11-0.0924%7 Oct →
anubis10–130.0227%7 Oct →
ancient11–130.0618%4 Oct →
mirage11–13-0.0415%4 Oct →
dust26–13-0.0112%3 Oct →
ancient7–13-0.1117%3 Oct →
mirage13–70.0232%3 Oct →
cache5–13-0.1413%3 Oct →
dust213–7-0.0321%3 Oct →
nuke7–130.0123%3 Oct →
nuke16–14-0.0119%3 Oct →
mirage15–150.0217%2 Oct →
mirage4–130.0826%2 Oct →
nuke9–13-0.0419%2 Oct →
cache13–110.0631%2 Oct →
nuke13–90.0526%1 Oct →
dust211–13-0.0313%30 Sept →
inferno14–160.0122%28 Sept →
inferno15–150.0118%28 Sept →
anubis13–11-0.0012%28 Sept →
ancient13–9-0.0324%27 Sept →
mirage13–11-0.0231%27 Sept →
nuke4–13-0.0016%27 Sept →
dust212–120.0232%27 Sept →
inferno9–60.1123%27 Sept →
inferno8–80.0118%27 Sept →
mirage7–130.0511%27 Sept →
mirage13–10-0.0415%27 Sept →
inferno4–13-0.1216%27 Sept →
nuke13–60.0114%26 Sept →
ancient13–2-0.0023%26 Sept →
dust26–13-0.0612%26 Sept →
mirage7–13-0.0315%26 Sept →
mirage13–20.1039%25 Sept →
mirage9–13-0.0123%25 Sept →
mirage13–10-0.0735%25 Sept →
mirage8–13-0.0714%24 Sept →
nuke13–100.0714%24 Sept →
cache13–50.0129%23 Sept →
inferno9–130.0126%23 Sept →
dust213–6-0.076%23 Sept →
mirage1–13-0.11100%23 Sept →
dust211–130.0230%23 Sept →
inferno9–13-0.0220%23 Sept →
dust211–13-0.0028%22 Sept →
inferno13–70.0314%22 Sept →
anubis5–13-0.0329%22 Sept →
cache10–13-0.0713%21 Sept →
mirage6–13-0.0224%20 Sept →
inferno1–13-0.0533%20 Sept →
dust211–13-0.0322%20 Sept →
inferno16–14-0.0426%20 Sept →
mirage13–1-0.000%20 Sept →
mirage13–40.0539%20 Sept →
mirage13–10-0.0220%19 Sept →
inferno16–13-0.0520%19 Sept →
mirage13–7-0.0313%19 Sept →
nuke13–11-0.0232%19 Sept →
nuke3–130.0120%19 Sept →
mirage9–130.0322%19 Sept →
nuke13–9-0.0414%19 Sept →
anubis13–90.0531%18 Sept →
nuke13–80.0116%18 Sept →
nuke5–13-0.0031%18 Sept →
inferno13–70.1142%18 Sept →
mirage13–90.1019%17 Sept →
ancient1–12-0.048%17 Sept →
nuke13–16-0.0015%17 Sept →
dust28–13-0.0423%17 Sept →
dust27–130.0022%17 Sept →
dust213–10.0431%16 Sept →
dust213–16-0.0518%16 Sept →
mirage15–150.0029%16 Sept →
inferno8–13-0.0921%16 Sept →
mirage5–13-0.0814%16 Sept →
anubis13–7-0.0220%16 Sept →
mirage13–90.0215%16 Sept →
ancient6–130.0321%14 Sept →
train12–12-0.0020%13 Sept →
ancient13–40.0430%13 Sept →
dust28–13-0.0214%13 Sept →
ancient4–13-0.0735%13 Sept →
mirage10–13-0.0427%13 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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