Bella

Bella — CS2 Stats

US76561198979204935[U:1:1018939207]Steam profile ↗✓ No bans

5,565Tracked matches31%Win rate2020Tracked since
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating8,494Light Blue band · top ~62.1% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (7 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: 8,494 -979 11 Aug – 9 Oct · 24 days played
7,73211,055peak 11,05511 Aug9 Oct
11,399Peak Premier in tracked matches
23Days played since 2026-08-11

Premier CS Rating

  • 2,561 below peak (11,055)
  • -1,990 over 30 days · declining
  • Next: Blue band at 10,000 — 1,506 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-08
  • Light Blue band first seen 2026-09-08

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

Share this profile

CSDB.GGBellaFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER8,494 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim60
Positioning46
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateLWLLWWWLLW

Last 10 vs previous 10: +50pp win rate · +0.04 avg rating · −1.7pp headshot accuracy · +2ms reaction

Win rate up 50pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 636ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 646ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 645ms

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 (+1.5 against its own average).

Aim6.0
Utility3.0
Positioning4.6
Opening Duels3.1
Clutch1.6

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

jL

Plays most like jL 98% 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

Areas to improve

Reaction time. 670ms 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

Aim6.0
Positioning4.6
Utility3.0
Mechanics7.6
Opening Duels3.2
Win Impact0.0

Composite 4.2/10 (Developing), 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 rating-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time666ms−17ms
first ⅓ avg 683ms → last ⅓ avg 666ms
Headshot accuracy13.9%−4.1%
first ⅓ avg 18.0% → last ⅓ avg 13.9%

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

0.19Best match rating · 13–11 · anubis, 9 Oct →
32%Best headshot accuracy · 6–13 · mirage, 30 Aug →
531msFastest reaction time · 11–13 · ancient, 7 Oct →
13–1Biggest win · dust2, 24 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
10–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 53% over 15ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
nukeB2111–1052%0.00
dust2C219–1243%-0.01
mirageB158–753%-0.03
cacheB147–750%-0.01
ancientD103–730%-0.02
infernoB105–550%-0.01
anubisB84–450%-0.01
rush_001—10–10%-0.05

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

237Matches
48%Win rate
0.82Avg K/D
79.9ADR
38%Headshot %

Clutches & streaks

28%1v1 clutch win
28%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4050%0.8314.3
Inferno2157%0.7812.3
Anubis1644%0.9514.6
Dust21540%0.6512.1
Nuke1331%0.7412.8
Vertigo1275%0.9515.5
Ancient450%0.427.3
Train367%1.0619.0

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.

13.8%Headshot accuracy
37.1%Accuracy (enemy spotted)
37.4%Spray accuracy
84.1%Counter-strafing
11.1°Preaim
670msReaction time
39.5%T opening success
46.1%CT opening success
0.49Enemies flashed / flash
5.0%Flash assists
9.74HE damage / grenade
3.34Flashes / 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 13.7555% — 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 0.4874 — 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 39.4516% — 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
ancient10–130.0010%9 Oct →
cache13–11-0.086%9 Oct →
cache3–130.0223%9 Oct →
cache2–70.0917%9 Oct →
mirage13–8-0.064%9 Oct →
cache13–6-0.019%9 Oct →
anubis13–110.1917%9 Oct →
inferno5–13-0.0414%8 Oct →
anubis1–13-0.049%8 Oct →
cache13–110.0912%8 Oct →
rush_0016–8-0.0521%8 Oct →
ancient11–13-0.0215%7 Oct →
mirage6–13-0.026%1 Oct →
nuke7–13-0.0411%30 Sept →
dust26–13-0.026%30 Sept →
anubis7–13-0.0724%30 Sept →
dust26–13-0.0113%30 Sept →
inferno14–16-0.0410%22 Sept →
cache8–130.0311%22 Sept →
cache14–16-0.0519%14 Sept →
dust213–5-0.0410%14 Sept →
cache7–13-0.068%11 Sept →
nuke7–13-0.0129%11 Sept →
mirage6–13-0.0620%9 Sept →
nuke13–8-0.0413%9 Sept →
dust215–15-0.0217%9 Sept →
nuke16–12-0.0121%6 Sept →
dust213–16-0.0818%3 Sept →
ancient11–13-0.0513%3 Sept →
inferno10–13-0.0615%3 Sept →
dust213–11-0.0910%3 Sept →
mirage13–50.0712%3 Sept →
nuke13–40.1215%3 Sept →
inferno13–70.0110%2 Sept →
cache13–10-0.0520%2 Sept →
nuke3–13-0.0618%2 Sept →
mirage13–8-0.0323%2 Sept →
anubis16–14-0.0116%2 Sept →
dust28–130.0316%2 Sept →
cache15–15-0.0318%2 Sept →
inferno3–13-0.0524%31 Aug →
inferno7–10.038%31 Aug →
dust25–13-0.0113%31 Aug →
dust24–13-0.0717%31 Aug →
ancient13–11-0.0614%31 Aug →
anubis13–110.0114%31 Aug →
nuke16–130.0214%31 Aug →
dust211–13-0.0223%30 Aug →
mirage13–8-0.088%30 Aug →
cache13–30.0015%30 Aug →
inferno13–80.0316%30 Aug →
nuke11–13-0.0115%30 Aug →
ancient9–130.0216%30 Aug →
mirage3–13-0.0212%30 Aug →
dust213–10-0.0426%30 Aug →
nuke13–60.0717%30 Aug →
mirage13–11-0.0720%30 Aug →
dust213–50.0329%30 Aug →
mirage6–13-0.0132%30 Aug →
nuke13–100.0314%30 Aug →
dust215–150.0325%30 Aug →
mirage13–9-0.0413%30 Aug →
nuke11–130.0215%26 Aug →
nuke6–130.0218%26 Aug →
dust25–13-0.0918%26 Aug →
anubis9–13-0.0712%26 Aug →
ancient13–40.0116%26 Aug →
anubis8–13-0.0711%26 Aug →
mirage10–130.0027%26 Aug →
ancient10–13-0.0113%25 Aug →
nuke7–13-0.0619%24 Aug →
dust213–60.1221%24 Aug →
dust29–13-0.069%24 Aug →
dust213–10.0612%24 Aug →
anubis13–8-0.0217%24 Aug →
nuke10–130.0120%24 Aug →
inferno13–8-0.0114%24 Aug →
ancient13–16-0.0418%23 Aug →
dust26–13-0.0219%23 Aug →
inferno6–13-0.0319%22 Aug →
cache13–6-0.0329%22 Aug →
ancient13–3-0.0511%22 Aug →
dust213–30.0522%22 Aug →
dust213–70.0117%22 Aug →
cache13–90.0019%22 Aug →
inferno13–100.0119%22 Aug →
nuke13–80.0313%22 Aug →
nuke13–40.0217%22 Aug →
nuke6–13-0.0512%22 Aug →
mirage5–13-0.0824%19 Aug →
dust213–10-0.0229%19 Aug →
cache5–13-0.0127%16 Aug →
nuke13–110.0723%16 Aug →
mirage8–10.1122%16 Aug →
nuke13–11-0.0121%16 Aug →
mirage7–13-0.0619%14 Aug →
nuke2–13-0.0612%14 Aug →
mirage13–7-0.0914%14 Aug →
nuke13–50.0416%11 Aug →
ancient15–150.0112%11 Aug →

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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