RockNRoller — CS2 Stats

76561198778944450[U:1:818678722]

2,463Tracked matches45%Win rate2025Tracked since

CSDB Rating2.4 Learning

Premier CS Rating1,682Grey band · top ~92.9% of ranked players (population est.)

CSDB Leaderboard#15446 of 19813 tracked

Ladder ranks via Leetify

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Performance scores

Aim32

Positioning32

Utility18

0–100 skill scores via Leetify.

Recent form

STEADY43–56–1Last 10043%Win rateLWWLWLWLWW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Aim3.2

Aggression3.2

Utility1.8

Positioning3.2

Opening Duels0.0

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 66% playstyle similarity

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

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

Reaction time. 823ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.2

Positioning3.2

Utility1.8

Mechanics2.9

Opening Duels0.0

Win Impact3.3

Composite 2.4/10 (Learning), 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-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time822ms+37ms

first ⅓ avg 785ms → last ⅓ avg 822ms

Headshot accuracy11.8%+1.8%

first ⅓ avg 10.0% → last ⅓ avg 11.8%

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

0.16Best rating — dust2 13–1

13–1Biggest win — dust2

5Longest win streak

6–3In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 58% over 12infernoWeakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	10–13	43%	-0.02
mirage	B	18	9–9	50%	-0.02
ancient	B	16	8–8	50%	-0.03
nuke	D	13	4–9	31%	-0.04
cache	A	12	7–5	58%	-0.02
inferno	D	12	2–10	17%	-0.03
anubis	B	6	3–3	50%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

11.8%Headshot accuracy

36.9%Accuracy (enemy spotted)

41.4%Spray accuracy

62.9%Counter-strafing

10.0°Preaim

823msReaction time

25.7%T opening success

28.6%CT opening success

0.28Enemies flashed / flash

4.9%Flash assists

8.27HE damage / grenade

1.20Flashes / 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 11.8317% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 822.5587ms — above the 700ms mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2813 — below the 0.5 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.

17% win rate across 12 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
mirage	9–13	0.01	13%	28 Aug →
cache	13–2	-0.02	3%	28 Aug →
mirage	16–12	-0.04	13%	28 Aug →
nuke	2–13	-0.09	20%	27 Aug →
nuke	13–6	-0.03	7%	27 Aug →
ancient	3–13	-0.03	20%	27 Aug →
anubis	13–5	0.07	16%	27 Aug →
dust2	8–13	-0.05	9%	27 Aug →
nuke	13–10	-0.02	8%	27 Aug →
cache	13–5	-0.02	22%	27 Aug →
cache	14–16	-0.04	13%	27 Aug →
dust2	10–13	-0.08	8%	27 Aug →
dust2	8–13	0.00	16%	27 Aug →
mirage	8–1	0.02	6%	27 Aug →
mirage	2–13	0.01	14%	27 Aug →
ancient	10–13	-0.01	11%	27 Aug →
nuke	8–13	-0.02	8%	27 Aug →
nuke	10–13	0.02	11%	27 Aug →
dust2	13–3	0.03	12%	27 Aug →
dust2	13–11	0.00	21%	27 Aug →
anubis	10–13	-0.08	12%	26 Aug →
dust2	13–5	-0.06	9%	26 Aug →
dust2	13–4	0.05	7%	26 Aug →
dust2	13–5	-0.07	2%	26 Aug →
inferno	11–13	0.01	11%	26 Aug →
ancient	4–13	-0.01	27%	26 Aug →
inferno	10–13	-0.02	5%	26 Aug →
dust2	2–13	-0.06	11%	26 Aug →
ancient	13–7	-0.07	5%	26 Aug →
nuke	15–15	-0.04	13%	26 Aug →
mirage	13–5	0.01	13%	26 Aug →
dust2	13–9	-0.01	15%	26 Aug →
mirage	2–13	-0.06	7%	25 Aug →
ancient	13–6	-0.02	15%	25 Aug →
mirage	13–11	-0.03	6%	25 Aug →
dust2	5–13	-0.01	4%	25 Aug →
ancient	4–13	-0.05	12%	25 Aug →
dust2	13–10	0.02	26%	25 Aug →
cache	13–4	0.03	20%	25 Aug →
inferno	9–13	-0.03	12%	25 Aug →
dust2	13–1	0.16	24%	25 Aug →
cache	13–5	-0.02	11%	25 Aug →
mirage	13–11	0.12	17%	25 Aug →
inferno	5–12	-0.09	20%	25 Aug →
ancient	13–10	-0.04	5%	25 Aug →
inferno	6–13	-0.08	7%	25 Aug →
mirage	13–10	-0.04	10%	24 Aug →
nuke	7–13	-0.04	4%	24 Aug →
dust2	8–13	0.01	20%	24 Aug →
ancient	13–10	-0.04	9%	24 Aug →
mirage	11–13	-0.04	3%	24 Aug →
anubis	0–13	0.01	14%	24 Aug →
ancient	16–12	-0.04	15%	24 Aug →
cache	13–8	-0.03	4%	24 Aug →
nuke	13–2	-0.09	28%	24 Aug →
ancient	10–13	-0.01	10%	24 Aug →
inferno	7–13	-0.06	11%	24 Aug →
nuke	0–13	-0.12	0%	24 Aug →
mirage	13–3	-0.01	10%	24 Aug →
mirage	4–13	-0.04	20%	24 Aug →
mirage	13–7	-0.01	10%	23 Aug →
anubis	9–5	0.08	7%	23 Aug →
dust2	7–13	0.04	5%	23 Aug →
mirage	6–13	-0.07	6%	23 Aug →
anubis	6–13	0.01	12%	23 Aug →
ancient	2–13	-0.04	9%	23 Aug →
inferno	1–13	0.01	7%	23 Aug →
nuke	5–13	-0.05	7%	23 Aug →
mirage	3–13	-0.03	12%	23 Aug →
ancient	13–4	-0.02	6%	23 Aug →
ancient	13–8	-0.06	9%	23 Aug →
dust2	3–13	-0.09	16%	23 Aug →
dust2	4–13	-0.13	8%	23 Aug →
cache	16–13	0.00	14%	22 Aug →
cache	2–13	0.01	8%	22 Aug →
dust2	16–13	-0.04	7%	22 Aug →
inferno	13–11	-0.04	8%	22 Aug →
nuke	13–4	0.04	15%	22 Aug →
anubis	13–11	-0.02	16%	22 Aug →
nuke	9–13	-0.10	10%	22 Aug →
inferno	8–13	-0.03	7%	22 Aug →
cache	9–13	-0.05	3%	22 Aug →
dust2	13–10	-0.03	7%	22 Aug →
dust2	10–13	-0.01	11%	22 Aug →
cache	8–13	0.02	13%	21 Aug →
inferno	5–13	-0.05	14%	21 Aug →
mirage	8–2	-0.01	12%	21 Aug →
ancient	6–13	-0.05	13%	21 Aug →
mirage	10–13	0.02	9%	21 Aug →
dust2	10–13	-0.00	10%	21 Aug →
inferno	10–13	0.01	12%	21 Aug →
dust2	8–13	-0.05	15%	21 Aug →
ancient	10–13	0.04	11%	21 Aug →
mirage	3–13	-0.11	19%	21 Aug →
ancient	13–10	-0.02	7%	21 Aug →
cache	10–13	-0.05	5%	21 Aug →
nuke	10–13	-0.04	11%	21 Aug →
inferno	6–13	0.04	8%	21 Aug →
dust2	7–13	-0.04	7%	20 Aug →
cache	16–14	-0.08	5%	20 Aug →