Belle

Belle — CS2 Stats

76561198199968821[U:1:239703093]Steam profile ↗

2,812Tracked matches39%Win rate2020Tracked since
4,219Hours in CS25Hrs last 2 wks
CSDB Rating5.2 DevelopingAggressive Rifler
WingmanMaster Guardian I
Ladder ranks via Leetify

Performance scores

Aim77
Positioning45
Utility22

0–100 skill scores via Leetify.

Recent form

COLD384319Last 10038%Win rateWTTTLTWLWT

Last 10 vs previous 10: -10pp win rate · +0.04 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.7
Aggression6.7
Utility2.2
Positioning4.5
Opening Duels2.6
Clutch6.0

Excellent counter-strafing

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 82% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower opening-duel success; 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

Positioning. Positioning trails aim by 32 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. 658ms 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

Aim7.7
Positioning4.5
Utility2.2
Mechanics8.5
Opening Duels2.6
Win Impact1.4

Composite 5.2/10 (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 rating0.01−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time649ms−103ms
first ⅓ avg 752ms → last ⅓ avg 649ms
Headshot accuracy24.7%−4.7%
first ⅓ avg 29.4% → last ⅓ avg 24.7%

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.

Highlights

0.36Best rating — inferno 9–2
133Biggest win — dust2
6Longest win streak
53In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 56% over 9cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeC31131842%0.03
infernoC30131743%0.06
dust2A95456%0.03
anubisD62433%-0.01
officeD62433%-0.00
cacheD51420%-0.03
vertigo42250%0.06
overpass3030%0.04
mirage2020%0.11
ancient2020%-0.04
train1010%0.01
italy1010%-0.04

Across the last 100 tracked matches.

Lifetime stats

149,742Lifetime kills
0.93K/D
10,506Matches
38.5%Match win rate
49.7%Headshot % · Top 50% of tracked players
14.3%Shot accuracy · Top 50% of tracked players
22,492MVPs
2,302Hours (in match)
5,757Bombs planted
1,296Bombs defused

Most-used weapons

AK-4748,557
AWP11,813
MP73,698
MP93,550
SG 5532,985
AUG2,936

Lifetime map wins

11,190inferno
7,808nuke
6,390dust2
4,714vertigo
3,054train
1,576lake
1,316cbble
983office

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

Faceit stats

Combat

65Matches
40%Win rate
0.70Avg K/D
57.8ADR
41%Headshot %

Clutches & streaks

50%1v1 clutch win
14%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust2650%0.7214.2
Mirage425%0.579.5
Inferno2100%0.363.0
Nuke1100%0.417.0
Ancient1100%1.2316.0
Overpass1100%0.397.0
Vertigo10%0.6712.0

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.

24.7%Headshot accuracy
33.2%Accuracy (enemy spotted)
36.2%Spray accuracy
88.1%Counter-strafing
8.7°Preaim
658msReaction time
37.6%T opening success
43.3%CT opening success
0.32Enemies flashed / flash
3.5%Flash assists
12.27HE damage / grenade
5.40Flashes / 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 0.3212 — 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 37.6421% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust213–40.0238%24 Aug
mirage12–120.0631%24 Aug
inferno8–80.0815%24 Aug
nuke8–80.0850%24 Aug
inferno5–9-0.2013%24 Aug
inferno8–80.0536%24 Aug
dust213–110.0124%23 Aug
anubis8–13-0.0224%23 Aug
inferno13–80.0043%23 Aug
ancient12–12-0.0127%22 Aug
nuke7–13-0.0717%22 Aug
dust213–30.0114%22 Aug
nuke12–120.0134%22 Aug
inferno13–7-0.009%22 Aug
anubis12–12-0.0420%22 Aug
cache13–11-0.0515%21 Aug
inferno7–13-0.1017%21 Aug
dust213–110.0118%21 Aug
cache12–12-0.0619%20 Aug
office10–13-0.0542%20 Aug
dust212–120.0022%19 Aug
dust24–13-0.0727%19 Aug
overpass6–9-0.0322%19 Aug
vertigo2–9-0.0631%19 Aug
dust213–50.2623%18 Aug
inferno6–90.1436%18 Aug
dust210–13-0.0017%17 Aug
office13–60.0028%17 Aug
overpass8–80.0924%16 Aug
vertigo9–30.1432%16 Aug
inferno9–30.1419%16 Aug
nuke4–90.0312%16 Aug
inferno6–90.1016%16 Aug
inferno9–40.1828%16 Aug
ancient4–13-0.0810%16 Aug
inferno5–90.0324%16 Aug
inferno8–80.0614%16 Aug
nuke5–9-0.0016%16 Aug
inferno8–80.1432%16 Aug
inferno9–30.1518%15 Aug
office4–13-0.0322%15 Aug
cache10–130.0216%15 Aug
vertigo9–50.2124%13 Aug
nuke9–40.1013%13 Aug
nuke9–40.2317%13 Aug
inferno9–50.1232%13 Aug
inferno10–13-0.0229%12 Aug
train9–130.0136%12 Aug
inferno4–90.0027%12 Aug
inferno4–90.0520%12 Aug
inferno6–9-0.0018%9 Aug
office7–13-0.0425%9 Aug
italy5–13-0.0438%9 Aug
nuke12–120.0323%9 Aug
dust26–13-0.0029%9 Aug
overpass8–80.0532%7 Aug
nuke8–8-0.0819%7 Aug
nuke5–9-0.0717%7 Aug
inferno9–20.1718%7 Aug
nuke13–11-0.0635%7 Aug
office13–80.1241%7 Aug
mirage5–130.1626%7 Aug
cache12–12-0.0134%6 Aug
cache9–13-0.0325%6 Aug
nuke5–90.0424%5 Aug
inferno5–90.0118%5 Aug
nuke9–50.1831%5 Aug
vertigo8–13-0.0427%4 Aug
inferno7–9-0.1222%31 Jul
inferno9–6-0.0367%31 Jul
nuke3–9-0.1326%30 Jul
inferno8–80.1134%30 Jul
inferno9–20.3661%30 Jul
inferno9–20.2735%30 Jul
inferno9–40.0355%29 Jul
nuke9–5-0.0533%29 Jul
nuke9–10.1833%28 Jul
nuke5–90.0313%28 Jul
nuke9–00.0828%28 Jul
nuke3–9-0.0628%28 Jul
nuke7–9-0.0213%28 Jul
nuke8–80.1120%27 Jul
nuke4–90.0145%27 Jul
nuke9–40.2022%27 Jul
nuke9–30.1425%27 Jul
nuke9–20.1421%27 Jul
nuke9–20.1919%27 Jul
anubis13–50.0122%27 Jul
anubis13–4-0.0128%26 Jul
nuke4–90.0216%25 Jul
nuke4–9-0.0420%25 Jul
anubis12–120.0323%25 Jul
anubis4–13-0.0322%25 Jul
office11–13-0.0136%25 Jul
inferno9–30.1120%25 Jul
inferno3–9-0.1743%23 Jul
inferno9–40.1239%23 Jul
nuke9–70.0924%23 Jul
nuke0–9-0.2122%22 Jul
nuke9–6-0.0127%22 Jul

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 →