Belladonna

Belladonna — CS2 Stats

76561198215200671[U:1:254934943]Steam profile ↗✓ No bans

1,252Tracked matches57%Win rate2022Tracked since
CSDB Rating6.6 SolidPositional Player
Premier CS Rating18,405Purple band · top ~14.8% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 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.

Rating over time

Premier CS Rating: 18,405 +801 23 Sept – 3 Nov · 14 days played
17,11319,034peak 19,03423 Sept3 Nov
19,141Peak Premier in tracked matches
30Days played since 2026-09-09

Premier CS Rating

  • 629 below peak (19,034)
  • +165 over 30 days · steady
  • Next: Pink band at 20,000 — 1,595 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGBelladonnaFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER18,405 · Purple bandcsdb.gg/stats

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Performance scores

Aim79
Positioning56
Utility43

0–100 skill scores via Leetify.

Recent form

HOT51–46–3Last 10051%Win rateWLWWWWWLWL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · +4.0pp headshot accuracy · +21ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 608ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 596ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • 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 Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim7.9
Utility4.3
Positioning5.6
Opening Duels2.3
Clutch5.2

Excellent counter-strafingStrong 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

iM

Plays most like iM 94% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning 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

Areas to improve

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

Reaction time. 551ms 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

Aim7.9
Positioning5.6
Utility4.3
Mechanics8.9
Opening Duels3.6
Win Impact7.2

Composite 6.6/10 (Solid), 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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time556ms−30ms
first ⅓ avg 587ms → last ⅓ avg 556ms
Headshot accuracy13.7%−0.4%
first ⅓ avg 14.1% → last ⅓ avg 13.7%

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 · 7–0 · nuke, 8 Oct →
33%Best headshot accuracy · 4–0 · anubis, 2 Nov →
406msFastest reaction time · 7–13 · ancient, 29 Oct →
13–0Biggest win · nuke, 1 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 75% over 8cacheWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoS2013–765%0.02
mirageB179–853%-0.01
nukeA148–657%0.00
dust2C135–838%-0.02
ancientC135–838%0.00
cacheD93–633%-0.01
anubisS86–275%-0.01
vertigoD62–433%0.02

Across the last 100 tracked matches.

Faceit stats

Combat

47Matches
53%Win rate
0.97Avg K/D
74.2ADR
38%Headshot %

Clutches & streaks

46%1v1 clutch win
37%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1631%0.9112.9
Inferno771%0.9113.3
Ancient580%1.2217.2
Anubis475%1.0414.5
Train475%1.1220.0
Cache425%0.9013.5
Overpass333%1.0114.0
Nuke250%0.7412.0

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.

12.0%Headshot accuracy
37.7%Accuracy (enemy spotted)
38.5%Spray accuracy
89.9%Counter-strafing
9.4°Preaim
551msReaction time
39.0%T opening success
49.5%CT opening success
0.40Enemies flashed / flash
8.4%Flash assists
11.82HE damage / grenade
5.26Flashes / 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 12.0343% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3992 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 38.9655% — below the 40% mark we flag

Spend your practice time on Cache

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 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno16–14-0.0013%3 Nov →
dust211–13-0.054%2 Nov →
dust26–5-0.0514%2 Nov →
anubis4–1-0.0125%2 Nov →
anubis4–00.0133%2 Nov →
nuke13–00.0223%1 Nov →
mirage13–50.087%1 Nov →
dust212–16-0.057%1 Nov →
dust213–100.0619%1 Nov →
ancient5–13-0.065%1 Nov →
nuke13–60.018%1 Nov →
mirage11–13-0.047%31 Oct →
ancient10–13-0.029%29 Oct →
ancient7–130.0315%29 Oct →
cache11–13-0.079%29 Oct →
nuke13–110.0112%29 Oct →
inferno12–16-0.0510%29 Oct →
anubis4–13-0.037%29 Oct →
mirage13–9-0.0420%25 Oct →
ancient13–70.0613%25 Oct →
dust213–5-0.056%24 Oct →
inferno9–130.0216%24 Oct →
mirage6–13-0.068%23 Oct →
ancient13–50.0314%23 Oct →
inferno13–30.0427%23 Oct →
mirage9–13-0.0215%23 Oct →
ancient13–80.107%22 Oct →
dust25–13-0.0014%22 Oct →
inferno13–00.1210%22 Oct →
inferno13–50.0217%22 Oct →
cache13–80.0615%21 Oct →
inferno13–11-0.0128%20 Oct →
inferno11–13-0.0013%18 Oct →
cache13–50.089%14 Oct →
vertigo10–130.0010%14 Oct →
inferno5–130.064%14 Oct →
mirage8–13-0.076%13 Oct →
dust25–13-0.0410%13 Oct →
nuke2–11-0.028%13 Oct →
nuke13–100.009%13 Oct →
inferno13–100.0315%13 Oct →
ancient11–13-0.0220%13 Oct →
cache10–13-0.007%10 Oct →
inferno13–50.014%9 Oct →
ancient14–16-0.0115%9 Oct →
ancient13–80.0410%9 Oct →
inferno13–80.0415%8 Oct →
mirage13–80.0711%8 Oct →
inferno10–13-0.087%8 Oct →
nuke7–00.143%8 Oct →
inferno13–50.1015%8 Oct →
cache7–13-0.0417%8 Oct →
mirage13–40.035%8 Oct →
anubis13–90.0312%7 Oct →
mirage2–13-0.0811%7 Oct →
nuke2–130.0216%7 Oct →
inferno13–90.0312%7 Oct →
mirage5–13-0.0422%7 Oct →
cache10–13-0.0114%7 Oct →
anubis13–11-0.0112%7 Oct →
inferno6–130.0014%7 Oct →
ancient4–13-0.107%5 Oct →
anubis13–6-0.026%5 Oct →
vertigo3–13-0.028%4 Oct →
inferno13–50.0317%4 Oct →
anubis13–5-0.0324%4 Oct →
nuke7–13-0.018%4 Oct →
vertigo13–10.0722%3 Oct →
nuke16–14-0.0017%3 Oct →
anubis10–13-0.0114%3 Oct →
cache13–9-0.0323%1 Oct →
mirage16–120.0121%1 Oct →
dust213–40.0824%29 Sept →
dust211–13-0.0415%29 Sept →
ancient7–13-0.0516%29 Sept →
nuke10–13-0.038%29 Sept →
mirage13–7-0.0811%28 Sept →
ancient13–50.0713%28 Sept →
dust215–15-0.0511%28 Sept →
inferno16–13-0.0611%28 Sept →
mirage13–6-0.0125%28 Sept →
dust24–13-0.0314%27 Sept →
nuke13–8-0.0520%27 Sept →
inferno13–30.053%27 Sept →
vertigo13–100.1017%26 Sept →
mirage11–130.0615%26 Sept →
nuke13–100.048%26 Sept →
dust213–60.0316%26 Sept →
ancient15–150.005%24 Sept →
mirage4–13-0.008%24 Sept →
cache9–130.0314%24 Sept →
mirage13–50.058%24 Sept →
vertigo10–13-0.0824%24 Sept →
nuke6–130.0319%24 Sept →
inferno7–130.008%23 Sept →
mirage13–30.0413%23 Sept →
cache7–13-0.0911%23 Sept →
nuke1–13-0.100%14 Sept →
dust210–130.0114%14 Sept →
vertigo12–120.0614%9 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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