Cassanova

Cassanova — CS2 Stats

DE76561198153638623[U:1:193372895]Steam profile ↗✓ No bans

771Tracked matches62%Win rate2020Tracked since
CSDB Rating5.0 DevelopingPositional Player
CSDB Leaderboard#68267 of 221406 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 32 days played since 30 Oct 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,382 -662 7 Nov26 Nov · 4 days played
20,38221,044peak 21,0447 Nov26 Nov
21,044Peak Premier in tracked matches
32Days played since 2025-10-30

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.

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CSDB.GGCassanovaFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim54
Positioning46
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY64351Last 10064%Win rateLWWWWLLWWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −3.6pp headshot accuracy · −52ms reaction

Win rate 0pp 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

  • 41 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 583ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 559ms

Last 20

  • 128 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 585ms

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 (+1.3 against its own average).

Aim5.4
Utility4.3
Positioning4.6
Opening Duels1.5
Clutch3.0

Strong CT-side opener

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

NiKo

Plays most like NiKo 83% 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

T-side openings. Opening success drops from 44% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms 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

Aim5.4
Positioning4.6
Utility4.3
Mechanics5.0
Opening Duels1.7
Win Impact9.0

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time594ms+18ms
first ⅓ avg 577ms → last ⅓ avg 594ms
Headshot accuracy13.1%−2.6%
first ⅓ avg 15.7% → last ⅓ avg 13.1%

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

0.14Best match rating · 13–0 · mirage, 23 Nov
35%Best headshot accuracy · 13–4 · inferno, 9 Nov
406msFastest reaction time · 1–13 · inferno, 31 Oct
13–0Biggest win · mirage, 23 Nov

Across the last 100 tracked matches.

Highlights

11Longest win streak
44In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 78% over 18dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoS2517868%0.00
ancientA2011955%-0.01
mirageS1814478%0.00
anubisA117464%-0.01
vertigoS75271%0.04
nukeS64267%-0.04
dust2D61517%-0.02
overpass43175%0.01
train21150%-0.05
cache110100%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

60Matches
70%Win rate
1.19Avg K/D
82.4ADR
43%Headshot %

Clutches & streaks

35%1v1 clutch win
17%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient2065%1.2416.8
Anubis1580%1.2317.7
Mirage862%0.9714.0
Inferno875%1.3617.8
Dust210%1.4320.0
Overpass1100%0.587.0

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.

13.0%Headshot accuracy
34.5%Accuracy (enemy spotted)
35.2%Spray accuracy
72.6%Counter-strafing
10.4°Preaim
592msReaction time
22.3%T opening success
43.5%CT opening success
0.56Enemies flashed / flash
5.5%Flash assists
3.84HE damage / grenade
9.18Flashes / 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 13.0309% — 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 22.2716% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage10–130.0113%5 Sept
mirage13–8-0.0416%5 Sept
mirage13–10.056%5 Sept
inferno13–5-0.0515%5 Sept
ancient13–110.0015%28 Aug
mirage11–13-0.047%28 Aug
anubis7–13-0.0712%7 Aug
inferno13–30.033%7 Aug
inferno13–5-0.059%7 Aug
mirage6–13-0.0515%7 Aug
mirage13–1-0.0315%7 Aug
nuke14–16-0.0112%7 Aug
vertigo13–30.0018%7 Aug
dust24–13-0.1216%7 Aug
ancient13–2-0.059%2 Aug
inferno13–1-0.0210%2 Aug
inferno13–80.0017%2 Aug
dust210–13-0.0020%1 Aug
ancient13–40.0113%1 Aug
vertigo6–130.0719%1 Aug
dust28–13-0.0310%12 Jul
inferno13–50.0115%12 Jul
nuke8–13-0.0423%12 Jul
ancient13–9-0.019%11 Jul
mirage13–40.0214%11 Jul
inferno13–7-0.0115%11 Jul
inferno5–130.015%13 May
cache13–9-0.0315%13 May
vertigo13–50.0812%13 May
dust212–120.028%18 Mar
dust26–13-0.0312%1 Mar
anubis6–130.0310%25 Feb
inferno10–130.0224%25 Feb
inferno13–90.0625%15 Feb
nuke13–5-0.066%7 Feb
ancient8–13-0.0718%7 Feb
anubis5–130.067%31 Jan
vertigo13–40.0022%17 Jan
mirage13–70.018%17 Jan
ancient13–80.0310%17 Jan
inferno13–11-0.0128%17 Jan
inferno6–130.0012%17 Jan
train2–13-0.1010%17 Jan
mirage13–5-0.0213%2 Jan
ancient13–10-0.0314%14 Dec
inferno11–13-0.0513%26 Nov
mirage6–1-0.0212%26 Nov
nuke13–2-0.0716%26 Nov
anubis13–3-0.069%23 Nov
inferno9–13-0.0410%23 Nov
ancient13–60.0212%23 Nov
mirage13–00.1414%23 Nov
mirage13–100.0323%22 Nov
vertigo13–3-0.0118%22 Nov
ancient6–13-0.0513%22 Nov
overpass13–5-0.0226%22 Nov
ancient8–130.0117%22 Nov
anubis13–4-0.0218%21 Nov
inferno13–70.0315%21 Nov
mirage13–90.0215%21 Nov
ancient11–130.0111%21 Nov
inferno13–100.0315%21 Nov
anubis5–130.0729%21 Nov
vertigo13–90.0825%21 Nov
ancient2–13-0.0731%17 Nov
vertigo10–130.0716%14 Nov
ancient13–50.0211%14 Nov
inferno13–8-0.0020%14 Nov
ancient7–130.0120%14 Nov
ancient8–13-0.0118%14 Nov
overpass10–13-0.0622%14 Nov
inferno9–13-0.0024%12 Nov
ancient8–13-0.0811%11 Nov
inferno13–4-0.0535%9 Nov
anubis13–5-0.0410%9 Nov
mirage13–50.024%9 Nov
anubis13–80.0515%8 Nov
ancient13–70.0521%8 Nov
mirage13–40.0717%8 Nov
inferno13–70.0118%8 Nov
overpass13–80.0921%8 Nov
nuke13–100.0110%8 Nov
inferno8–13-0.0018%8 Nov
ancient13–40.0416%7 Nov
nuke13–8-0.0422%7 Nov
anubis13–100.0212%2 Nov
inferno13–100.0418%2 Nov
inferno11–20.0728%1 Nov
anubis13–11-0.069%1 Nov
mirage13–3-0.087%1 Nov
dust213–110.0210%1 Nov
overpass13–80.0521%31 Oct
mirage13–8-0.0413%31 Oct
ancient13–3-0.018%31 Oct
inferno1–13-0.0715%31 Oct
train13–3-0.015%31 Oct
ancient5–13-0.0410%30 Oct
anubis13–6-0.0610%30 Oct
inferno13–00.0719%30 Oct
mirage10–13-0.0212%30 Oct

Match data via Leetify.

Recent teammates

Milestones

500 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →