Beefstewart — CS2 Stats

76561198831864640[U:1:871598912]✓ No bans

355Tracked matches62%Win rate2021Tracked since

425Hours in CS15Hrs last 2 wks

CSDB Rating5.5 SolidHybrid Rifler

Premier CS Rating8,185Light Blue band · top ~63.6% of ranked players (population est.)

CSDB Leaderboard#12021 of 16029 tracked

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning55

Utility46

0–100 skill scores via Leetify.

Recent form

HOT51–48–1Last 10051%Win rateWWWWWWWLLL

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

Player DNA

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

Aim6.4

Aggression7.5

Utility4.6

Positioning5.5

Opening Duels4.2

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 90% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Areas to improve

Reaction time. 661ms 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

Aim6.4

Positioning5.5

Utility4.6

Mechanics7.0

Opening Duels4.2

Win Impact9.0

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time658ms−29ms

first ⅓ avg 687ms → last ⅓ avg 658ms

Headshot accuracy10.7%−1.5%

first ⅓ avg 12.2% → last ⅓ avg 10.7%

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

0.13Best rating — mirage 13–8

13–1Biggest win — dust2

7Longest win streak

W7Current streak

10–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 60% over 10ancientWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	27	15–12	56%	0.01
dust2	B	21	11–10	52%	-0.01
mirage	B	19	10–9	53%	-0.02
nuke	A	10	6–4	60%	-0.02
ancient	D	9	3–6	33%	0.00
cache	C	7	3–4	43%	-0.03
anubis	—	4	1–3	25%	0.01
overpass	—	2	1–1	50%	-0.00
vertigo	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

6,217Lifetime kills

0.65K/D

522Matches

35.6%Match win rate

37.8%Headshot %

2.2%Shot accuracy

683MVPs

200Hours (in match)

464Bombs planted

84Bombs defused

Most-used weapons

AK-471,969

M4A4 / M4A1-S1,501

Glock-18463

P2000 / USP-S438

AWP344

Desert Eagle334

MAC-10250

MP9209

FAMAS187

Galil AR180

Lifetime map wins

1,028dust2

843inferno

368vertigo

197nuke

26train

1cbble

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.

10.1%Headshot accuracy

38.4%Accuracy (enemy spotted)

42.8%Spray accuracy

81.5%Counter-strafing

9.9°Preaim

661msReaction time

41.8%T opening success

52.0%CT opening success

0.59Enemies flashed / flash

2.2%Flash assists

12.06HE damage / grenade

8.39Flashes / 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 10.0507% — below the 15% mark we flag
Aim Training →

Spend your practice time on Ancient

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–9	0.09	14%	26 Aug →
dust2	13–4	-0.05	22%	26 Aug →
inferno	13–2	0.05	24%	26 Aug →
dust2	13–11	0.03	14%	26 Aug →
inferno	13–7	0.01	9%	26 Aug →
cache	13–3	0.07	7%	26 Aug →
ancient	9–0	0.08	10%	26 Aug →
mirage	10–13	-0.02	4%	25 Aug →
dust2	11–13	-0.02	6%	25 Aug →
inferno	8–13	-0.04	4%	25 Aug →
overpass	13–6	-0.01	18%	25 Aug →
dust2	3–13	-0.08	11%	24 Aug →
vertigo	13–4	0.08	9%	24 Aug →
nuke	14–16	-0.05	9%	23 Aug →
mirage	13–9	-0.05	11%	23 Aug →
dust2	13–9	-0.01	7%	23 Aug →
dust2	4–13	0.07	13%	23 Aug →
anubis	10–13	-0.02	7%	23 Aug →
inferno	13–2	0.04	14%	23 Aug →
mirage	11–13	0.00	13%	5 Aug →
inferno	13–2	0.03	6%	5 Aug →
inferno	13–7	-0.01	6%	5 Aug →
ancient	10–13	0.02	8%	4 Aug →
inferno	13–6	0.00	8%	4 Aug →
mirage	13–9	-0.00	11%	4 Aug →
cache	6–13	-0.03	3%	31 Jul →
inferno	7–13	-0.10	10%	31 Jul →
cache	13–9	-0.07	16%	31 Jul →
mirage	15–15	-0.09	12%	31 Jul →
nuke	16–14	-0.03	6%	31 Jul →
dust2	13–11	0.08	15%	29 Jul →
nuke	3–13	-0.06	17%	27 Jul →
anubis	6–13	-0.05	13%	27 Jul →
inferno	6–13	-0.09	11%	27 Jul →
inferno	10–13	0.01	16%	27 Jul →
dust2	13–5	-0.01	7%	26 Jul →
anubis	16–13	0.08	14%	26 Jul →
inferno	13–4	0.09	12%	26 Jul →
mirage	4–10	-0.05	20%	25 Jul →
ancient	9–13	-0.05	7%	25 Jul →
inferno	13–6	0.05	13%	25 Jul →
dust2	13–3	-0.01	7%	25 Jul →
ancient	3–13	-0.05	8%	25 Jul →
nuke	16–12	0.04	9%	24 Jul →
mirage	13–11	-0.05	6%	24 Jul →
inferno	5–13	-0.06	17%	24 Jul →
dust2	10–13	0.01	11%	23 Jul →
inferno	9–13	-0.04	6%	23 Jul →
cache	6–13	-0.07	10%	22 Jul →
ancient	6–13	-0.04	13%	22 Jul →
dust2	9–13	-0.03	10%	22 Jul →
dust2	13–10	0.03	13%	22 Jul →
mirage	13–6	-0.02	13%	19 Jul →
nuke	6–13	-0.01	19%	19 Jul →
inferno	13–5	0.09	8%	19 Jul →
ancient	6–13	-0.00	6%	19 Jul →
inferno	13–4	0.02	12%	19 Jul →
mirage	10–13	-0.03	13%	18 Jul →
dust2	13–1	-0.02	15%	18 Jul →
nuke	13–6	-0.07	12%	17 Jul →
inferno	10–13	-0.04	9%	17 Jul →
dust2	13–8	0.00	8%	17 Jul →
ancient	13–8	-0.03	14%	17 Jul →
cache	9–13	-0.08	16%	17 Jul →
dust2	3–8	-0.01	18%	16 Jul →
nuke	6–13	-0.03	13%	16 Jul →
inferno	13–16	0.02	16%	16 Jul →
mirage	6–13	-0.10	26%	16 Jul →
cache	13–10	-0.01	20%	14 Jul →
mirage	13–11	0.02	20%	14 Jul →
inferno	16–14	-0.08	7%	13 Jul →
dust2	5–13	-0.06	14%	12 Jul →
inferno	13–11	-0.02	18%	12 Jul →
dust2	11–13	-0.05	7%	12 Jul →
nuke	13–9	-0.05	7%	12 Jul →
ancient	13–11	0.02	7%	11 Jul →
dust2	13–6	0.06	10%	11 Jul →
mirage	13–10	-0.05	14%	9 Jul →
cache	11–13	-0.04	13%	9 Jul →
inferno	14–16	0.07	10%	5 Jul →
dust2	13–5	0.04	9%	5 Jul →
inferno	13–4	0.02	16%	5 Jul →
mirage	13–16	0.01	11%	4 Jul →
dust2	2–13	-0.12	8%	4 Jul →
mirage	13–6	-0.04	13%	4 Jul →
anubis	10–13	0.02	9%	3 Jul →
inferno	11–13	0.01	13%	3 Jul →
inferno	9–13	-0.01	14%	3 Jul →
overpass	10–13	0.00	18%	2 Jul →
inferno	13–9	0.05	14%	30 Jun →
nuke	13–4	0.06	11%	30 Jun →
mirage	4–13	-0.06	14%	30 Jun →
dust2	10–13	-0.04	12%	29 Jun →
inferno	13–11	0.07	3%	29 Jun →
mirage	13–11	0.00	12%	28 Jun →
nuke	13–8	0.06	14%	28 Jun →
mirage	13–8	0.13	13%	28 Jun →
inferno	6–13	0.01	10%	28 Jun →
ancient	8–13	0.06	8%	28 Jun →
mirage	6–13	-0.06	8%	28 Jun →