Rose — CS2 Stats

VA76561198190962521[U:1:230696793]Steam profile ↗✓ No bans

243Tracked matches77%Win rate2024Tracked since

CSDB Rating4.6 DevelopingPassive Rifler

Premier CS Rating8,051Light Blue band · top ~64.2% of ranked players (population est.)

CSDB Leaderboard#19935 of 26535 tracked

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning41

Utility12

0–100 skill scores via Leetify.

Recent form

STEADY57–37–6Last 10057%Win rateLLWWWWWWLW

Last 10 vs previous 10: -20pp win rate · -0.06 avg rating

Player DNA

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

Aim6.9

Aggression3.6

Utility1.2

Positioning4.1

Opening Duels0.0

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 NiKo 75% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 40% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 554ms 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

Positioning4.1

Utility1.2

Mechanics6.1

Opening Duels1.2

Win Impact10.0

Composite 4.6/10 (Developing), 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+0.02

first ⅓ avg -0.02 → last ⅓ avg -0.00

Reaction time558ms−70ms

first ⅓ avg 629ms → last ⅓ avg 558ms

Headshot accuracy14.3%+0.7%

first ⅓ avg 13.6% → last ⅓ avg 14.3%

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

0.19Best rating — dust2 13–4

13–0Biggest win — office

8Longest win streak

L2Current streak

7–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

ancientBest map · 75% over 8mirageWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
office	S	28	19–9	68%	-0.02
cache	B	15	7–8	47%	-0.02
nuke	A	11	6–5	55%	-0.01
ancient	S	8	6–2	75%	-0.01
vertigo	B	8	4–4	50%	-0.04
anubis	B	6	3–3	50%	-0.03
inferno	S	6	4–2	67%	0.00
mirage	D	5	1–4	20%	-0.04
train	C	5	2–3	40%	-0.03
dust2	A	5	3–2	60%	0.03
boulder	—	2	1–1	50%	-0.04
stronghold	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Mirage 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.

14.1%Headshot accuracy

34.2%Accuracy (enemy spotted)

37.8%Spray accuracy

77.6%Counter-strafing

8.7°Preaim

554msReaction time

13.6%T opening success

39.9%CT opening success

0.10Enemies flashed / flash

1.8%Flash assists

6.18HE damage / grenade

0.35Flashes / 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 14.0766% — below the 15% 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 0.0994 — below the 0.5 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 13.641% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	5–13	-0.10	0%	27 Aug →
office	3–13	-0.07	0%	27 Aug →
office	9–1	-0.00	11%	27 Aug →
office	13–10	-0.02	9%	27 Aug →
office	13–1	0.00	15%	26 Aug →
office	13–6	0.01	21%	26 Aug →
office	13–4	-0.01	0%	25 Aug →
ancient	13–10	-0.04	20%	22 Aug →
mirage	4–10	-0.01	21%	22 Aug →
anubis	13–2	-0.05	0%	22 Aug →
inferno	13–3	0.06	7%	16 Aug →
office	13–7	0.02	16%	16 Aug →
office	13–4	0.05	12%	16 Aug →
inferno	13–2	0.05	18%	15 Aug →
office	13–0	-0.01	43%	15 Aug →
office	13–2	-0.03	11%	15 Aug →
office	13–9	-0.04	8%	15 Aug →
train	8–11	0.01	26%	15 Aug →
dust2	13–4	0.19	18%	14 Aug →
ancient	13–2	0.04	12%	14 Aug →
office	13–5	-0.05	13%	14 Aug →
train	6–13	-0.05	12%	13 Aug →
nuke	13–7	0.01	19%	13 Aug →
inferno	13–5	0.02	10%	12 Aug →
anubis	0–4	-0.05	17%	12 Aug →
nuke	13–6	0.01	21%	12 Aug →
nuke	13–4	-0.05	0%	12 Aug →
ancient	8–1	0.10	25%	12 Aug →
inferno	13–8	-0.02	25%	11 Aug →
ancient	1–13	-0.01	19%	10 Aug →
dust2	13–4	0.04	13%	10 Aug →
cache	13–8	0.03	24%	10 Aug →
inferno	12–12	-0.04	9%	9 Aug →
train	0–13	-0.08	25%	9 Aug →
ancient	11–13	-0.08	10%	9 Aug →
anubis	16–13	-0.09	12%	8 Aug →
office	7–13	0.10	17%	7 Aug →
dust2	12–12	0.01	17%	7 Aug →
nuke	5–9	-0.04	30%	7 Aug →
anubis	13–2	-0.02	11%	7 Aug →
vertigo	13–11	-0.07	5%	6 Aug →
ancient	13–3	-0.07	0%	6 Aug →
cache	3–5	-0.06	33%	6 Aug →
train	13–6	0.07	15%	5 Aug →
vertigo	7–13	-0.03	32%	5 Aug →
nuke	8–13	-0.01	7%	4 Aug →
vertigo	13–11	-0.01	13%	2 Aug →
train	13–8	-0.09	13%	1 Aug →
vertigo	13–5	-0.03	11%	1 Aug →
office	13–5	-0.05	25%	1 Aug →
vertigo	1–6	0.01	6%	1 Aug →
office	1–10	-0.01	0%	1 Aug →
cache	7–11	-0.08	7%	22 Jul →
office	3–5	0.01	25%	18 Jul →
anubis	0–9	-0.05	0%	18 Jul →
vertigo	13–4	-0.00	50%	18 Jul →
mirage	13–5	-0.02	20%	18 Jul →
office	13–5	0.01	25%	17 Jul →
nuke	2–4	0.03	40%	17 Jul →
ancient	13–8	0.05	21%	16 Jul →
boulder	4–13	-0.01	13%	13 Jul →
boulder	13–10	-0.07	6%	12 Jul →
office	13–11	-0.08	9%	10 Jul →
office	6–13	-0.05	33%	8 Jul →
office	13–3	0.00	26%	8 Jul →
stronghold	13–11	-0.02	13%	2 Jul →
office	0–7	-0.09	0%	2 Jul →
dust2	5–13	-0.04	17%	1 Jul →
vertigo	4–13	-0.12	0%	1 Jul →
mirage	3–10	-0.07	10%	27 Jun →
nuke	13–3	0.05	5%	26 Jun →
anubis	12–12	0.05	13%	25 Jun →
nuke	13–0	-0.02	9%	24 Jun →
cache	3–13	-0.07	14%	24 Jun →
dust2	13–11	-0.04	8%	24 Jun →
mirage	12–12	-0.01	11%	24 Jun →
ancient	13–11	-0.05	12%	20 Jun →
inferno	4–13	-0.07	4%	19 Jun →
nuke	13–8	-0.04	13%	19 Jun →
nuke	5–12	-0.04	9%	14 Jun →
cache	8–13	-0.02	21%	14 Jun →
cache	5–2	0.06	38%	14 Jun →
office	13–9	-0.00	40%	7 Jun →
office	5–0	0.08	13%	7 Jun →
vertigo	12–12	-0.04	11%	31 May →
office	13–5	-0.03	11%	24 May →
office	0–13	-0.08	0%	24 May →
mirage	0–6	-0.08	0%	24 May →
cache	13–11	0.03	11%	24 May →
office	5–5	-0.04	29%	23 May →
cache	13–7	-0.12	0%	23 May →
cache	3–6	-0.04	50%	13 May →
cache	13–6	0.03	19%	13 May →
nuke	8–13	-0.03	13%	10 May →
cache	12–12	-0.05	16%	10 May →
office	13–8	-0.04	14%	9 May →
cache	3–13	-0.00	19%	9 May →
cache	13–9	-0.01	8%	9 May →
office	9–13	-0.02	0%	4 May →
cache	13–4	0.06	12%	3 May →