👑 Bella Stend 👑 — CS2 Stats

76561198138575090[U:1:178309362]✓ No bans

2,376Tracked matches40%Win rate2020Tracked since

3,809Hours in CS26Hrs last 2 wks

CSDB Rating5.2 Developing

Premier CS Rating16,305Purple band · top ~23.2% of ranked players (population est.)

CSDB Leaderboard#19587 of 34117 tracked

WingmanGold Nova II

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Purple band median	Pink band median	vs Pink band
Headshot rate	39.2%	44.1%	47.2%	8.0% short
Shot accuracy	14.2%	11.4%	12.7%	above
Kill/death ratio	0.87	1.03	1.09	0.22 short
Match win rate	37.7%	45.2%	46.6%	8.9% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim52

Positioning65

Utility68

0–100 skill scores via Leetify.

Recent form

COLD36–61–3Last 10036%Win rateWLLWLLLWLL

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Aim5.2

Aggression7.9

Utility6.8

Positioning6.5

Opening Duels3.5

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

Plays most like b1t 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Strengths

Flashes. 0.90 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 52% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 603ms 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

Aim5.2

Positioning6.5

Utility6.8

Mechanics5.5

Opening Duels3.5

Win Impact1.7

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 -0.01 → last ⅓ avg 0.01

Reaction time607ms−31ms

first ⅓ avg 638ms → last ⅓ avg 607ms

Headshot accuracy12.2%−2.1%

first ⅓ avg 14.3% → last ⅓ avg 12.2%

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

0.11Best rating — cache 13–0

13–0Biggest win — anubis

4Longest win streak

9–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 44% over 27infernoWeakest map · 25% over 16

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	27	12–15	44%	0.01
nuke	D	20	6–14	30%	-0.00
anubis	C	16	6–10	38%	0.00
inferno	D	16	4–12	25%	-0.00
cache	C	13	5–8	38%	-0.00
mirage	—	4	1–3	25%	0.00
dust2	—	4	2–2	50%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

98,424Lifetime kills

0.87K/D

5,567Matches

37.7%Match win rate

39.2%Headshot %

14.2%Shot accuracy · Top 50% of Purple band

10,984MVPs

2,201Hours (in match)

7,098Bombs planted

1,098Bombs defused

Most-used weapons

AK-4719,631

M4A4 / M4A1-S14,293

AUG7,959

AWP6,367

SG 5536,159

P2000 / USP-S5,559

Glock-184,219

P2503,247

XM10142,441

MP72,378

Lifetime map wins

6,258inferno

2,428dust2

2,216nuke

1,419vertigo

1,013cbble

906train

116office

62lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.5%Headshot accuracy

34.5%Accuracy (enemy spotted)

37.4%Spray accuracy

75.0%Counter-strafing

11.4°Preaim

603msReaction time

35.7%T opening success

52.3%CT opening success

0.90Enemies flashed / flash

15.3%Flash assists

10.65HE damage / grenade

4.79Flashes / 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.

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 12.4603% — below the 15% mark we flag
Aim Training →
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 35.7039% — below the 40% mark we flag

Spend your practice time on Inferno

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–7	0.02	19%	27 Aug →
anubis	11–13	0.02	15%	27 Aug →
inferno	6–13	-0.00	12%	26 Aug →
mirage	13–9	0.09	13%	26 Aug →
nuke	6–13	-0.00	2%	24 Aug →
ancient	6–13	0.10	7%	23 Aug →
nuke	1–13	-0.04	14%	22 Aug →
nuke	16–14	0.05	16%	20 Aug →
inferno	6–13	-0.04	14%	20 Aug →
cache	9–13	-0.00	8%	20 Aug →
ancient	13–6	0.02	16%	19 Aug →
ancient	13–10	0.03	16%	18 Aug →
cache	7–13	0.02	7%	18 Aug →
ancient	7–13	-0.07	16%	18 Aug →
ancient	13–5	0.05	11%	18 Aug →
anubis	13–9	-0.04	10%	18 Aug →
anubis	10–13	0.00	10%	18 Aug →
ancient	4–13	0.01	19%	17 Aug →
anubis	9–13	0.06	21%	17 Aug →
nuke	13–9	-0.04	12%	17 Aug →
cache	8–13	-0.08	10%	16 Aug →
ancient	1–13	-0.10	17%	16 Aug →
ancient	13–11	0.03	10%	16 Aug →
nuke	9–13	0.02	14%	15 Aug →
cache	16–14	0.05	13%	15 Aug →
ancient	3–13	-0.03	0%	14 Aug →
cache	9–13	-0.01	4%	14 Aug →
inferno	16–13	0.04	18%	14 Aug →
nuke	16–12	0.05	15%	14 Aug →
dust2	4–13	-0.01	7%	13 Aug →
dust2	6–0	0.10	8%	13 Aug →
mirage	8–13	0.05	15%	12 Aug →
inferno	11–13	0.02	12%	12 Aug →
dust2	13–6	0.00	19%	11 Aug →
ancient	4–13	0.04	9%	10 Aug →
inferno	13–1	0.04	19%	10 Aug →
inferno	9–13	-0.02	11%	9 Aug →
ancient	5–13	-0.02	16%	9 Aug →
nuke	8–13	0.06	27%	9 Aug →
nuke	13–5	0.08	16%	9 Aug →
inferno	2–13	0.02	12%	8 Aug →
anubis	13–0	0.07	10%	8 Aug →
mirage	11–13	-0.01	9%	8 Aug →
nuke	11–13	-0.00	17%	7 Aug →
inferno	12–16	-0.04	24%	7 Aug →
anubis	11–13	0.06	16%	7 Aug →
ancient	13–8	0.02	16%	6 Aug →
nuke	7–13	0.00	23%	6 Aug →
nuke	10–13	0.03	15%	6 Aug →
ancient	3–13	0.01	14%	6 Aug →
inferno	6–13	0.00	13%	5 Aug →
ancient	13–3	0.07	20%	5 Aug →
cache	13–2	-0.01	20%	5 Aug →
ancient	9–13	-0.01	14%	4 Aug →
nuke	11–13	0.01	31%	4 Aug →
inferno	9–13	-0.02	32%	4 Aug →
anubis	13–10	0.00	14%	3 Aug →
ancient	13–10	0.03	17%	2 Aug →
ancient	13–4	0.02	8%	2 Aug →
ancient	5–13	-0.02	15%	2 Aug →
anubis	13–10	0.02	24%	28 Jul →
inferno	7–13	-0.07	21%	28 Jul →
cache	13–0	0.11	19%	28 Jul →
anubis	5–13	-0.04	2%	27 Jul →
cache	2–13	-0.03	16%	27 Jul →
anubis	4–13	0.01	12%	26 Jul →
anubis	4–13	0.01	18%	26 Jul →
ancient	11–13	0.03	9%	26 Jul →
anubis	13–11	-0.05	13%	26 Jul →
ancient	10–13	-0.00	12%	26 Jul →
cache	16–14	0.05	21%	26 Jul →
ancient	15–15	0.07	20%	26 Jul →
nuke	8–8	-0.05	13%	25 Jul →
inferno	8–8	-0.04	25%	25 Jul →
nuke	10–13	0.01	16%	24 Jul →
inferno	13–10	0.03	10%	24 Jul →
ancient	12–16	-0.04	20%	24 Jul →
anubis	13–11	0.01	25%	23 Jul →
cache	13–7	0.02	14%	23 Jul →
mirage	3–13	-0.12	5%	22 Jul →
anubis	4–13	-0.00	17%	22 Jul →
nuke	4–13	-0.12	5%	22 Jul →
cache	12–16	0.02	14%	15 Jul →
ancient	13–11	-0.01	14%	15 Jul →
anubis	4–13	-0.08	7%	15 Jul →
cache	1–13	-0.04	27%	15 Jul →
inferno	13–11	0.07	17%	14 Jul →
ancient	11–13	0.04	10%	14 Jul →
nuke	13–11	-0.06	11%	13 Jul →
nuke	13–6	0.03	13%	13 Jul →
ancient	13–3	0.04	12%	13 Jul →
ancient	13–1	0.04	16%	13 Jul →
anubis	7–13	0.01	12%	8 Jul →
dust2	5–13	-0.01	24%	5 Jul →
cache	0–13	-0.10	0%	5 Jul →
inferno	6–13	0.04	12%	5 Jul →
nuke	7–13	-0.01	17%	5 Jul →
nuke	6–13	-0.03	14%	5 Jul →
inferno	8–13	-0.04	7%	1 Jul →
nuke	4–13	0.01	19%	1 Jul →

Show all 100 matchesShow fewer

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 →

Explore CSDB.gg

Sensitivity ConverterConvert sensitivity between CS2 and other games eDPI CalculatorCalculate your effective DPI cm/360 CalculatorMouse distance per full turn Resolution CalculatorCompare aspect ratios and resolutions Crosshair GeneratorBuild and preview custom crosshairs

Tools

Sticker Craft MakerPlan and price a CS2 sticker craft with live prices on every piece CS2 Stats TrackerLook up any player: Premier rating, Faceit level, matches and skill breakdown Trust Factor CheckerEstimate your CS2 Trust Factor from the signals Valve has acknowledged

Learn & Explore

Most Traded CS2 SkinsRanked by completed sales — transaction data, not listings Cheapest Knives in CS2Every knife type ranked by its cheapest live price Cheapest Gloves in CS2Every glove model ranked by its cheapest live price