rbtown — CS2 Stats

CA76561198271981269[U:1:311715541]Steam profile ↗✓ No bans

706Tracked matches46%Win rate2022Tracked since

1,162Hours in CS8Hrs last 2 wks

CSDB Rating4.4 Developing

Premier CS Rating10,024Blue band · top ~54.8% of ranked players (population est.)

CSDB Leaderboard#14467 of 19722 tracked

Ladder ranks via Leetify

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Performance scores

Aim57

Positioning45

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY50–43–7Last 10050%Win rateLWLWWLLWLL

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Aim5.7

Aggression3.8

Utility5.2

Positioning4.5

Opening Duels1.1

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 NiKo 84% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; 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. 577ms 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

Aim5.7

Positioning4.5

Utility5.2

Mechanics5.1

Opening Duels1.3

Win Impact3.8

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time568ms−99ms

first ⅓ avg 666ms → last ⅓ avg 568ms

Headshot accuracy13.7%−0.1%

first ⅓ avg 13.8% → last ⅓ avg 13.7%

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

0.17Best rating — mirage 13–1

13–0Biggest win — mirage

5Longest win streak

5–3In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 65% over 17ancientWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	30	14–16	47%	0.00
dust2	S	17	11–6	65%	0.01
cache	A	17	10–7	59%	-0.02
inferno	C	10	4–6	40%	0.00
ancient	D	9	2–7	22%	-0.01
anubis	A	8	5–3	63%	0.02
nuke	B	8	4–4	50%	-0.01
overpass	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,997Lifetime kills

0.85K/D

2,281Matches

35.9%Match win rate

34.2%Headshot %

16.0%Shot accuracy · Top 25% of tracked players

3,227MVPs

772Hours (in match)

1,652Bombs planted

310Bombs defused

Most-used weapons

AWP7,683

AK-474,593

M4A4 / M4A1-S3,192

P2000 / USP-S1,820

AUG1,387

Galil AR1,321

Glock-181,119

SG 5531,071

P90868

FAMAS867

Lifetime map wins

3,708dust2

1,459inferno

785nuke

533vertigo

219lake

207train

47cbble

38safehouse

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.

14.5%Headshot accuracy

35.4%Accuracy (enemy spotted)

36.5%Spray accuracy

72.7%Counter-strafing

11.2°Preaim

577msReaction time

28.0%T opening success

40.5%CT opening success

0.59Enemies flashed / flash

10.8%Flash assists

11.50HE damage / grenade

3.85Flashes / 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 14.485% — 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 3.8499 — 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 28.0145% — below the 40% mark we flag

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.

22% 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
anubis	6–12	0.04	4%	28 Aug →
dust2	13–10	0.00	12%	28 Aug →
mirage	9–13	-0.01	16%	27 Aug →
inferno	13–4	-0.08	13%	27 Aug →
dust2	13–4	0.09	29%	24 Aug →
cache	3–13	-0.05	8%	24 Aug →
mirage	3–13	-0.04	4%	24 Aug →
dust2	13–10	-0.02	17%	23 Aug →
mirage	14–16	-0.01	15%	23 Aug →
mirage	7–13	-0.04	13%	21 Aug →
mirage	15–15	-0.05	7%	21 Aug →
dust2	13–10	0.05	22%	19 Aug →
dust2	13–9	0.04	30%	14 Aug →
dust2	3–13	-0.10	12%	14 Aug →
inferno	11–13	0.04	6%	14 Aug →
cache	13–10	-0.08	6%	14 Aug →
nuke	10–13	-0.04	18%	13 Aug →
mirage	13–3	0.06	11%	13 Aug →
mirage	5–13	-0.06	12%	13 Aug →
dust2	8–13	-0.01	22%	12 Aug →
nuke	1–1	-0.11	0%	12 Aug →
mirage	16–13	-0.01	17%	12 Aug →
ancient	10–13	0.05	18%	12 Aug →
mirage	7–13	-0.01	16%	11 Aug →
inferno	15–15	-0.02	9%	11 Aug →
anubis	13–9	0.00	14%	11 Aug →
dust2	13–10	-0.01	13%	11 Aug →
ancient	13–16	0.04	19%	11 Aug →
dust2	5–13	-0.03	28%	10 Aug →
anubis	13–11	0.03	11%	10 Aug →
ancient	13–8	0.05	8%	10 Aug →
cache	8–0	0.07	20%	10 Aug →
nuke	8–13	0.03	6%	10 Aug →
dust2	3–13	-0.04	5%	7 Aug →
anubis	13–7	0.04	15%	6 Aug →
mirage	13–7	0.02	14%	6 Aug →
cache	13–4	-0.02	24%	6 Aug →
mirage	13–3	0.01	14%	6 Aug →
mirage	9–13	-0.03	8%	5 Aug →
cache	8–13	0.07	6%	5 Aug →
ancient	9–13	-0.06	13%	5 Aug →
cache	13–6	-0.06	22%	4 Aug →
mirage	13–9	0.08	13%	4 Aug →
inferno	7–13	0.07	25%	4 Aug →
cache	3–12	0.01	21%	3 Aug →
cache	10–13	-0.09	18%	2 Aug →
ancient	15–15	0.05	7%	2 Aug →
ancient	11–13	-0.03	11%	2 Aug →
mirage	13–2	0.07	10%	2 Aug →
mirage	10–13	-0.09	13%	2 Aug →
dust2	8–13	-0.01	21%	2 Aug →
ancient	2–13	-0.06	13%	1 Aug →
inferno	13–7	0.00	14%	31 Jul →
mirage	13–6	0.02	19%	30 Jul →
dust2	13–7	0.06	13%	30 Jul →
cache	9–13	0.03	11%	30 Jul →
mirage	13–9	-0.08	0%	29 Jul →
mirage	13–6	0.07	27%	27 Jul →
mirage	13–8	0.05	24%	27 Jul →
cache	13–9	-0.03	5%	26 Jul →
mirage	13–10	-0.02	31%	25 Jul →
anubis	8–13	-0.05	14%	25 Jul →
inferno	9–13	-0.00	25%	24 Jul →
cache	13–11	-0.02	14%	21 Jul →
anubis	13–4	0.01	19%	20 Jul →
dust2	13–11	0.03	21%	20 Jul →
cache	6–13	0.01	21%	20 Jul →
ancient	6–13	-0.04	16%	20 Jul →
ancient	13–6	-0.05	13%	18 Jul →
mirage	13–1	0.17	21%	17 Jul →
mirage	8–13	-0.07	12%	16 Jul →
mirage	15–15	0.04	12%	15 Jul →
cache	13–5	-0.00	5%	14 Jul →
inferno	9–13	-0.02	14%	14 Jul →
nuke	6–13	-0.04	13%	14 Jul →
mirage	15–15	-0.05	9%	14 Jul →
dust2	13–16	-0.02	23%	13 Jul →
inferno	9–13	-0.02	11%	13 Jul →
anubis	6–13	0.04	21%	11 Jul →
anubis	13–7	0.02	14%	11 Jul →
cache	7–13	-0.08	15%	11 Jul →
mirage	8–13	-0.03	11%	10 Jul →
nuke	16–14	0.03	22%	9 Jul →
nuke	12–12	0.00	8%	8 Jul →
mirage	13–0	0.07	27%	8 Jul →
mirage	6–13	-0.02	10%	7 Jul →
mirage	13–6	0.09	18%	7 Jul →
nuke	13–7	-0.06	15%	6 Jul →
cache	13–10	-0.05	12%	6 Jul →
inferno	13–4	0.06	7%	5 Jul →
overpass	15–15	0.02	14%	5 Jul →
mirage	5–13	0.01	12%	5 Jul →
inferno	13–9	-0.00	5%	4 Jul →
nuke	13–3	0.06	11%	4 Jul →
dust2	13–10	0.12	27%	4 Jul →
cache	13–4	-0.03	10%	4 Jul →
cache	13–3	0.06	15%	4 Jul →
mirage	9–13	-0.03	11%	30 Jun →
dust2	13–8	0.02	5%	30 Jun →
dust2	13–1	0.04	17%	30 Jun →