Yellow_BananaBread — CS2 Stats

US76561198059012759[U:1:98747031]Steam profile ↗✓ No bans

2,117Tracked matches55%Win rate2021Tracked since

2,870Hours in CS4Hrs last 2 wks

CSDB Rating6.0 SolidAggressive Rifler

Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#14786 of 36662 tracked

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	33.9%	44.1%	47.2%	13.3% short
Shot accuracy	12.8%	11.4%	12.7%	meets
Kill/death ratio	1.02	1.03	1.09	0.07 short
Match win rate	38.7%	45.2%	46.6%	7.9% short

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

Widest gap: Headshot rate. 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

Aim75

Positioning60

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateWWLWLWTWLL

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.5

Aggression7.8

Utility4.6

Positioning6.0

Opening Duels3.0

Strong CT-side openerLimited 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.

Your pro match

Plays most like b1t 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Areas to improve

T-side openings. Opening success drops from 53% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms 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

Aim7.5

Positioning6.0

Utility4.6

Mechanics5.8

Opening Duels3.0

Win Impact6.7

Composite 6.0/10 (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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time595ms−59ms

first ⅓ avg 654ms → last ⅓ avg 595ms

Headshot accuracy9.9%−2.1%

first ⅓ avg 12.0% → last ⅓ avg 9.9%

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.

Highlights

0.13Best rating — nuke 13–9

13–0Biggest win — inferno

7Longest win streak

W2Current streak

10–4In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 58% over 24dust2Weakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	24	14–10	58%	0.02
dust2	D	18	6–12	33%	0.01
mirage	A	14	8–6	57%	0.03
cache	A	12	7–5	58%	0.01
inferno	B	12	6–6	50%	0.03
ancient	A	11	6–5	55%	0.01
anubis	B	8	4–4	50%	0.03
train	—	1	1–0	100%	0.12

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,004Lifetime kills

1.02K/D

4,225Matches

38.7%Match win rate

33.9%Headshot %

12.8%Shot accuracy · Top 50% of Purple band

8,724MVPs

1,574Hours (in match)

4,501Bombs planted

1,140Bombs defused

Most-used weapons

AK-4728,352

M4A4 / M4A1-S15,423

AWP10,501

P2000 / USP-S4,098

Glock-183,223

P902,974

Desert Eagle2,480

Galil AR1,855

MAC-101,812

FAMAS1,551

Lifetime map wins

5,038dust2

4,338inferno

3,653nuke

2,183vertigo

1,330train

455office

153cbble

57assault

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.

9.9%Headshot accuracy

46.5%Accuracy (enemy spotted)

44.5%Spray accuracy

76.2%Counter-strafing

11.0°Preaim

600msReaction time

30.8%T opening success

53.4%CT opening success

0.54Enemies flashed / flash

10.4%Flash assists

7.94HE damage / grenade

2.76Flashes / 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 9.9307% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.7561 — below the 4 mark we flag
Grenade Lineups →
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 30.7556% — below the 40% mark we flag

Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–8	0.05	7%	28 Aug →
cache	13–11	0.04	17%	28 Aug →
ancient	5–13	0.01	13%	14 Aug →
anubis	13–4	0.05	6%	13 Aug →
inferno	0–13	-0.07	7%	13 Aug →
cache	13–8	0.01	11%	13 Aug →
mirage	15–15	-0.00	13%	13 Aug →
anubis	12–2	0.11	17%	13 Aug →
dust2	3–13	0.01	15%	13 Aug →
dust2	3–13	0.05	9%	12 Aug →
mirage	9–13	0.02	16%	12 Aug →
ancient	13–4	0.05	5%	11 Aug →
nuke	13–6	-0.03	5%	11 Aug →
ancient	13–5	0.01	3%	11 Aug →
mirage	13–10	0.07	16%	11 Aug →
inferno	7–13	0.06	7%	11 Aug →
anubis	8–13	-0.03	2%	10 Aug →
cache	16–13	0.03	8%	9 Aug →
inferno	13–7	0.04	11%	9 Aug →
dust2	8–13	-0.09	11%	9 Aug →
nuke	13–10	0.06	8%	9 Aug →
nuke	16–13	0.04	10%	9 Aug →
inferno	7–13	0.09	8%	8 Aug →
dust2	8–13	0.01	12%	8 Aug →
nuke	5–13	-0.01	6%	7 Aug →
nuke	12–16	-0.02	8%	7 Aug →
ancient	13–8	0.02	8%	7 Aug →
mirage	6–13	0.01	13%	6 Aug →
inferno	13–0	0.08	12%	6 Aug →
nuke	13–6	0.01	13%	6 Aug →
nuke	13–3	-0.01	7%	6 Aug →
nuke	13–6	-0.02	11%	6 Aug →
dust2	13–10	-0.01	13%	6 Aug →
ancient	13–8	0.05	16%	6 Aug →
nuke	13–10	0.04	18%	6 Aug →
dust2	11–13	0.03	13%	5 Aug →
anubis	13–11	0.07	12%	5 Aug →
nuke	15–15	0.03	15%	3 Aug →
anubis	6–13	0.01	15%	1 Aug →
cache	13–7	0.00	11%	1 Aug →
mirage	8–13	-0.00	11%	30 Jul →
mirage	13–9	0.00	16%	30 Jul →
nuke	7–13	-0.02	8%	29 Jul →
mirage	13–1	0.02	16%	29 Jul →
nuke	13–4	0.04	14%	29 Jul →
inferno	13–10	0.02	12%	28 Jul →
ancient	9–13	-0.03	12%	28 Jul →
cache	13–7	0.05	13%	28 Jul →
dust2	13–4	0.01	29%	27 Jul →
nuke	8–13	-0.02	12%	27 Jul →
dust2	6–13	-0.01	7%	27 Jul →
ancient	5–13	-0.01	6%	24 Jul →
mirage	5–13	0.08	11%	23 Jul →
mirage	13–8	-0.02	17%	23 Jul →
nuke	13–9	0.13	9%	23 Jul →
dust2	5–13	0.02	10%	23 Jul →
cache	9–13	-0.00	10%	23 Jul →
mirage	13–11	0.06	11%	23 Jul →
dust2	10–13	-0.03	12%	23 Jul →
dust2	4–13	-0.02	14%	23 Jul →
train	13–6	0.12	11%	23 Jul →
nuke	10–13	-0.03	12%	22 Jul →
dust2	8–13	-0.06	15%	21 Jul →
inferno	13–11	0.11	9%	21 Jul →
cache	16–14	0.01	12%	20 Jul →
inferno	4–13	0.02	15%	20 Jul →
dust2	13–9	0.06	17%	19 Jul →
ancient	13–11	0.06	7%	19 Jul →
ancient	9–13	-0.01	15%	19 Jul →
cache	14–16	-0.02	5%	19 Jul →
inferno	13–5	0.03	7%	19 Jul →
nuke	5–13	-0.02	5%	18 Jul →
nuke	16–12	0.08	7%	18 Jul →
inferno	9–13	0.01	7%	18 Jul →
nuke	6–13	0.03	10%	18 Jul →
dust2	13–10	0.12	15%	18 Jul →
cache	2–13	-0.05	11%	17 Jul →
nuke	13–11	0.05	12%	17 Jul →
dust2	7–13	0.02	9%	17 Jul →
nuke	13–0	0.08	11%	17 Jul →
mirage	5–13	0.00	7%	15 Jul →
mirage	13–5	0.13	11%	15 Jul →
mirage	13–11	0.09	26%	15 Jul →
nuke	10–13	0.01	9%	15 Jul →
anubis	11–13	0.04	9%	14 Jul →
inferno	10–13	0.02	4%	13 Jul →
anubis	16–14	-0.00	9%	13 Jul →
ancient	8–13	0.02	6%	13 Jul →
ancient	13–8	-0.05	11%	13 Jul →
inferno	16–14	0.00	23%	13 Jul →
mirage	16–12	0.02	10%	13 Jul →
nuke	7–13	0.05	13%	10 Jul →
dust2	9–13	0.01	23%	10 Jul →
anubis	4–13	0.01	10%	10 Jul →
nuke	13–5	0.02	24%	9 Jul →
dust2	13–8	0.02	18%	7 Jul →
nuke	13–10	-0.03	14%	7 Jul →
cache	6–3	0.01	15%	7 Jul →
cache	11–13	-0.01	16%	7 Jul →
cache	5–13	0.08	18%	7 Jul →