Walmart Samosas — CS2 Stats

CA76561198060224583[U:1:99958855]Steam profile ↗✓ No bans

453Tracked matches57%Win rate2021Tracked since

1,664Hours in CS

CSDB Rating6.4 SolidHybrid Rifler

Premier CS Rating20,908Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.5% of ranked players (population est.)

CSDB Leaderboard#10208 of 28232 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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	Pink band median	Red band median	vs Red band
Headshot rate	40.1%	47.2%	49.9%	9.9% short
Shot accuracy	18.1%	12.7%	13.4%	above
Kill/death ratio	1.40	1.09	1.12	above
Match win rate	39.0%	46.6%	48.4%	9.5% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim69

Positioning63

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY49–44–7Last 10049%Win rateWTWWWLLLWL

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.9

Aggression9.4

Utility4.2

Positioning6.3

Opening Duels5.0

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.

Your pro match

Plays most like ropz 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher opening-fight frequency; 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

Reaction time. 639ms 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

Aim6.9

Positioning6.3

Utility4.2

Mechanics7.3

Opening Duels5.0

Win Impact7.4

Composite 6.4/10 (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 rating0.06+0.04

first ⅓ avg 0.02 → last ⅓ avg 0.06

Reaction time645ms+17ms

first ⅓ avg 628ms → last ⅓ avg 645ms

Headshot accuracy14.6%+2.8%

first ⅓ avg 11.8% → last ⅓ avg 14.6%

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

0.35Best rating — inferno 9–0

13–1Biggest win — ancient

7Longest win streak

9–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

mirageBest map · 58% over 19infernoWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	19	11–8	58%	0.03
ancient	A	16	9–7	56%	0.04
dust2	B	15	7–8	47%	0.02
inferno	D	14	4–10	29%	0.04
nuke	B	13	7–6	54%	0.04
cache	A	12	7–5	58%	0.04
overpass	—	4	3–1	75%	0.01
anubis	—	4	0–4	0%	0.02
office	—	1	0–1	0%	-0.02
warden	—	1	0–1	0%	-0.05
italy	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

96,238Lifetime kills

1.40K/D · Top 10% of Pink band

4,193Matches

39.0%Match win rate

40.1%Headshot %

18.1%Shot accuracy · Top 10% of Pink band

7,464MVPs

1,664Hours (in match)

2,417Bombs planted

666Bombs defused

Most-used weapons

AK-4736,260

M4A4 / M4A1-S17,754

AWP10,285

P2000 / USP-S4,259

Desert Eagle3,026

Glock-182,727

Five-SeveN1,979

P2501,742

Tec-91,586

P901,578

Lifetime map wins

8,054dust2

2,811nuke

2,096inferno

1,042office

468vertigo

438train

362italy

361assault

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.

14.0%Headshot accuracy

38.5%Accuracy (enemy spotted)

37.7%Spray accuracy

82.7%Counter-strafing

9.4°Preaim

639msReaction time

43.9%T opening success

55.9%CT opening success

0.54Enemies flashed / flash

9.1%Flash assists

8.63HE damage / grenade

3.55Flashes / 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 14.0171% — 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 3.5512 — below the 4 mark we flag
Grenade Lineups →

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.

29% win rate across 14 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
inferno	9–0	0.35	22%	8 Jul →
nuke	12–12	0.05	12%	8 Jul →
mirage	13–10	0.10	12%	8 Jul →
inferno	13–6	0.12	23%	8 Jul →
cache	13–7	0.03	15%	8 Jul →
cache	7–13	0.04	19%	6 Jul →
office	5–13	-0.02	18%	3 Jul →
warden	3–4	-0.05	28%	3 Jul →
italy	13–6	0.08	12%	3 Jul →
dust2	7–13	0.05	14%	1 Jul →
cache	13–3	0.17	19%	1 Jul →
inferno	5–13	0.04	20%	27 Jun →
cache	13–9	0.06	17%	27 Jun →
nuke	9–13	-0.01	19%	24 Jun →
mirage	12–12	0.07	13%	23 Jun →
inferno	7–13	-0.02	10%	14 Jun →
overpass	13–10	0.04	9%	14 Jun →
nuke	13–5	0.07	13%	14 Jun →
ancient	13–7	0.06	12%	14 Jun →
inferno	16–14	0.04	9%	14 Jun →
ancient	8–13	0.02	11%	14 Jun →
mirage	13–4	0.12	22%	14 Jun →
nuke	13–9	0.10	17%	12 Jun →
nuke	2–9	0.21	12%	12 Jun →
anubis	8–13	-0.02	9%	12 Jun →
mirage	13–3	0.09	13%	12 Jun →
cache	7–13	-0.02	15%	12 Jun →
ancient	13–2	0.14	3%	7 Jun →
mirage	13–8	-0.04	8%	7 Jun →
dust2	13–6	-0.03	14%	6 Jun →
inferno	7–13	-0.02	15%	6 Jun →
nuke	16–12	0.03	12%	6 Jun →
dust2	6–13	0.01	15%	6 Jun →
inferno	9–13	-0.01	13%	6 Jun →
ancient	16–12	0.08	15%	6 Jun →
cache	13–9	0.09	11%	3 Jun →
dust2	10–13	0.21	23%	3 Jun →
inferno	4–13	-0.01	8%	3 Jun →
cache	10–13	0.05	23%	2 Jun →
nuke	2–13	0.01	10%	2 Jun →
mirage	9–13	0.03	17%	2 Jun →
dust2	12–12	0.04	19%	31 May →
nuke	1–13	0.03	12%	31 May →
anubis	13–16	0.05	16%	29 May →
dust2	8–13	0.00	14%	29 May →
ancient	16–13	-0.01	22%	28 May →
inferno	12–12	0.01	8%	28 May →
mirage	1–13	-0.04	7%	28 May →
inferno	4–13	0.02	11%	28 May →
dust2	13–11	-0.05	17%	26 May →
dust2	13–2	-0.04	17%	26 May →
cache	5–13	-0.05	16%	26 May →
inferno	7–13	-0.06	10%	26 May →
inferno	10–13	-0.01	19%	24 May →
mirage	9–13	0.02	16%	24 May →
inferno	16–14	0.03	24%	20 May →
ancient	10–13	0.01	20%	20 May →
nuke	13–3	0.05	7%	19 May →
dust2	13–9	0.05	23%	19 May →
dust2	13–11	-0.00	15%	19 May →
dust2	8–2	-0.01	15%	18 May →
mirage	11–13	0.08	16%	18 May →
ancient	13–2	0.02	4%	16 May →
mirage	13–4	0.00	11%	16 May →
ancient	8–13	-0.05	2%	16 May →
mirage	12–12	0.14	15%	16 May →
ancient	10–13	0.02	17%	16 May →
dust2	12–12	-0.01	12%	15 May →
ancient	10–13	0.04	19%	13 May →
mirage	4–13	-0.04	5%	13 May →
ancient	13–2	0.06	6%	13 May →
mirage	13–11	0.04	8%	10 May →
dust2	13–11	-0.01	23%	10 May →
nuke	13–11	0.03	13%	10 May →
mirage	13–8	0.00	17%	10 May →
mirage	16–13	0.06	15%	10 May →
cache	13–5	0.01	19%	10 May →
anubis	10–13	0.04	10%	9 May →
ancient	13–8	0.09	10%	9 May →
overpass	13–3	0.11	17%	9 May →
inferno	11–13	0.03	14%	9 May →
nuke	13–6	0.01	9%	9 May →
anubis	4–13	0.00	16%	9 May →
nuke	13–11	-0.02	13%	9 May →
ancient	11–13	0.03	11%	9 May →
dust2	11–13	0.00	26%	9 May →
mirage	16–13	-0.02	9%	9 May →
overpass	6–13	-0.05	6%	9 May →
ancient	2–13	0.00	14%	9 May →
mirage	8–0	0.02	0%	9 May →
overpass	13–10	-0.05	7%	9 May →
cache	13–7	0.02	11%	8 May →
dust2	12–12	0.06	14%	8 May →
nuke	4–13	0.01	9%	7 May →
ancient	13–1	0.07	9%	7 May →
ancient	13–11	0.03	10%	7 May →
mirage	10–13	-0.00	3%	7 May →
cache	9–13	0.03	7%	7 May →
mirage	13–8	0.00	10%	7 May →
cache	13–8	0.05	19%	7 May →

Show all 100 matchesShow fewer

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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