Bello

Bello — CS2 Stats

DK76561198207905304[U:1:247639576]Steam profile ↗✓ No bans

413Tracked matches55%Win rate2020Tracked since
CSDB Rating5.7 SolidSupport
Premier CS Rating21,498Top 50% of 211,494 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)
CSDB Leaderboard#63132 of 258678 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 21,498 → 21,498
+4Tracked matches · now 413
0.0ppWin rate · 55.2% → 55.2%

Rating over time

Premier CS Rating: 21,498 -2,416 4 Mar – 22 Sept · 13 days played
18,36224,520peak 24,5204 Mar22 Sept
24,999Peak Premier in tracked matches
35Days played since 2025-03-04

Premier CS Rating

  • 3,022 below peak (24,520)
  • Next: Red band at 25,000 — 3,502 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-22
  • Purple band first seen 2026-09-22

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

Share this profile

CSDB.GGBelloFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER21,498 · Pink bandcsdb.gg/stats

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Performance scores

Aim79
Positioning38
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWWLLLLWWWT

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −3.6pp headshot accuracy · −29ms 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 -0.04
  • Avg headshot accuracy 29%
  • Avg reaction 525ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 583ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 28%
  • Avg reaction 597ms

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: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim7.9
Utility4.4
Positioning3.8
Opening Duels1.0
Clutch1.2

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

b1t

Plays most like b1t 93% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning 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

Positioning. Positioning trails aim by 41 points — deaths here waste a strong aim profile.

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

Reaction time. 596ms 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
Positioning3.8
Utility4.4
Mechanics7.2
Opening Duels0.4
Win Impact6.7

Composite 5.7/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time598ms−48ms
first ⅓ avg 645ms → last ⅓ avg 598ms
Headshot accuracy27.5%+1.0%
first ⅓ avg 26.5% → last ⅓ avg 27.5%

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 · 13–8 · inferno, 2 Jan →
55%Best headshot accuracy · 7–13 · mirage, 15 Jul →
391msFastest reaction time · 13–7 · inferno, 21 Sept →
13–1Biggest win · anubis, 21 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
7–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 80% over 5trainWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2110–1148%-0.01
nukeB1910–953%-0.01
infernoB157–847%-0.02
ancientC104–640%-0.02
trainC83–538%0.02
anubisA74–357%0.00
cacheS54–180%0.00
overpassC52–340%-0.00
dust2C52–340%-0.02
vertigo—44–0100%0.01
golden—10–10%-0.06

Across the last 100 tracked matches.

Faceit stats

Combat

506Matches
55%Win rate
0.99Avg K/D
69.7ADR
45%Headshot %

Clutches & streaks

26%1v1 clutch win
5%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1164%0.9514.1
Nuke425%0.9715.5
Cache475%1.3115.5
Vertigo333%0.7512.0
Dust2367%0.8315.3
Ancient333%0.538.3
Anubis2100%0.8313.5
Inferno1100%1.3312.0

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.

27.6%Headshot accuracy
31.6%Accuracy (enemy spotted)
34.9%Spray accuracy
82.5%Counter-strafing
8.5°Preaim
596msReaction time
30.0%T opening success
33.4%CT opening success
0.48Enemies flashed / flash
3.9%Flash assists
8.46HE damage / grenade
5.37Flashes / 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 0.4752 — below the 0.5 mark we flag

    Grenade Lineups →
  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 29.9502% — below the 40% mark we flag

Spend your practice time on Train

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–7-0.0333%21 Sept →
nuke13–4-0.0426%19 Sept →
nuke8–13-0.0426%19 Sept →
cache4–13-0.0329%29 Aug →
mirage12–16-0.0830%27 Aug →
nuke11–13-0.0328%27 Aug →
mirage13–40.0513%22 Aug →
cache13–80.0738%5 Aug →
mirage13–8-0.0521%5 Aug →
mirage15–15-0.0120%18 Jul →
inferno13–11-0.0222%18 Jul →
inferno8–8-0.0132%15 Jul →
mirage7–13-0.0755%15 Jul →
mirage6–13-0.0826%15 Jul →
cache13–60.0023%15 Jul →
nuke16–13-0.0020%14 Jul →
inferno9–13-0.0136%14 Jul →
mirage13–7-0.0521%14 Jul →
nuke13–9-0.0535%13 Jul →
mirage13–60.0131%13 Jul →
cache13–8-0.0217%9 Jul →
mirage3–13-0.0321%9 Jul →
inferno13–110.0028%21 May →
anubis13–10.0824%21 May →
mirage7–130.0224%21 May →
cache13–110.0041%21 May →
ancient7–13-0.0429%23 Apr →
anubis13–9-0.0218%20 Apr →
nuke4–130.0223%20 Apr →
mirage9–13-0.0023%9 Mar →
train11–130.0544%4 Jan →
mirage14–16-0.0028%3 Jan →
inferno11–130.0122%3 Jan →
train13–70.0215%3 Jan →
mirage13–30.0527%3 Jan →
ancient11–13-0.0227%3 Jan →
overpass14–16-0.0011%3 Jan →
nuke13–80.0943%3 Jan →
golden6–13-0.0627%3 Jan →
vertigo13–80.0722%3 Jan →
overpass7–13-0.0127%3 Jan →
ancient5–13-0.0618%3 Jan →
dust29–13-0.0424%2 Jan →
inferno10–13-0.0421%2 Jan →
nuke11–130.0125%2 Jan →
nuke13–100.0728%2 Jan →
inferno13–80.1020%2 Jan →
mirage11–130.0828%2 Jan →
ancient13–9-0.0421%30 Dec →
mirage13–90.0817%30 Dec →
nuke7–13-0.0523%30 Dec →
inferno4–13-0.0455%30 Dec →
mirage5–13-0.0026%30 Dec →
train6–13-0.0422%30 Dec →
inferno13–7-0.0119%28 Dec →
overpass13–70.0217%28 Dec →
nuke10–13-0.0430%27 Dec →
ancient10–13-0.0021%27 Dec →
inferno6–130.0322%23 Dec →
dust24–13-0.0530%28 Nov →
mirage13–11-0.0034%28 Nov →
anubis9–130.0139%21 Nov →
overpass9–13-0.0328%21 Nov →
vertigo13–60.0233%1 May →
mirage13–30.0628%1 May →
vertigo13–80.0120%11 Apr →
train3–130.0019%11 Apr →
ancient13–80.0336%11 Apr →
nuke13–80.0325%11 Apr →
anubis12–12-0.0137%11 Apr →
train13–30.0926%11 Apr →
vertigo13–5-0.0437%9 Apr →
ancient13–1-0.0121%9 Apr →
train8–130.0131%9 Apr →
nuke13–11-0.0130%9 Apr →
overpass13–90.0229%9 Apr →
inferno13–11-0.0715%7 Apr →
dust216–13-0.0026%27 Mar →
anubis13–2-0.0321%27 Mar →
nuke13–30.0527%27 Mar →
nuke7–13-0.0738%26 Mar →
train5–13-0.0336%26 Mar →
nuke13–70.0326%26 Mar →
anubis14–16-0.0424%19 Mar →
nuke11–13-0.0615%19 Mar →
anubis13–90.0331%19 Mar →
nuke2–13-0.0429%19 Mar →
dust213–20.0026%9 Mar →
ancient8–130.0031%9 Mar →
train13–60.0534%9 Mar →
dust27–13-0.0335%9 Mar →
inferno16–13-0.0321%6 Mar →
inferno4–13-0.0631%6 Mar →
mirage13–6-0.0424%6 Mar →
inferno6–13-0.0623%5 Mar →
mirage9–13-0.0124%5 Mar →
ancient13–9-0.0116%5 Mar →
mirage13–4-0.0618%5 Mar →
nuke13–110.0321%5 Mar →
ancient4–13-0.049%4 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

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