RoastedSphere95 — CS2 Stats

76561199012151587[U:1:1051885859]

423Tracked matches44%Win rate2024Tracked since

CSDB Rating4.6 DevelopingHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim61

Positioning53

Utility11

0–100 skill scores via Leetify.

Recent form

STEADY50–40–10Last 10050%Win rateWWLLTLWWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

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

Aim6.1

Aggression6.6

Utility1.1

Positioning5.3

Opening Duels2.3

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 Twistzz 79% playstyle similarity

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

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.

Reaction time. 704ms 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

Aim6.1

Positioning5.3

Utility1.1

Mechanics6.8

Opening Duels2.3

Win Impact3.1

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time704ms−8ms

first ⅓ avg 712ms → last ⅓ avg 704ms

Headshot accuracy17.4%+0.6%

first ⅓ avg 16.8% → last ⅓ avg 17.4%

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

0.20Best rating — inferno 3–0

13–2Biggest win — nuke

7Longest win streak

W2Current streak

6–4In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 58% over 12dust2Weakest map · 38% over 26

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	26	10–16	38%	-0.01
cache	B	20	10–10	50%	0.00
inferno	B	14	7–7	50%	0.01
mirage	A	14	8–6	57%	-0.02
nuke	A	12	7–5	58%	0.01
train	—	4	2–2	50%	-0.03
vertigo	—	4	2–2	50%	0.01
overpass	—	4	3–1	75%	0.00
poseidon	—	1	0–1	0%	-0.01
office	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 26). Start with the 6 essential Dust 2 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.

16.9%Headshot accuracy

38.2%Accuracy (enemy spotted)

40.1%Spray accuracy

80.5%Counter-strafing

11.5°Preaim

704msReaction time

43.0%T opening success

35.8%CT opening success

0.07Enemies flashed / flash

2.8%Flash assists

9.40HE damage / grenade

0.74Flashes / 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 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 704.0634ms — 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 0.0669 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 35.8152% — below the 40% mark we flag

Spend your practice time on Dust 2

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

38% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–9	-0.07	10%	28 Aug →
cache	13–7	0.03	19%	28 Aug →
nuke	10–13	0.05	15%	27 Aug →
train	10–13	-0.01	15%	27 Aug →
inferno	12–12	-0.02	11%	24 Aug →
nuke	5–13	0.02	16%	24 Aug →
vertigo	13–10	-0.00	14%	24 Aug →
cache	13–11	0.01	8%	18 Aug →
nuke	13–9	-0.02	13%	18 Aug →
mirage	13–10	-0.02	21%	25 Jul →
cache	13–11	-0.03	18%	25 Jul →
dust2	5–13	-0.08	13%	24 Jul →
nuke	10–13	0.07	15%	24 Jul →
nuke	2–6	-0.01	24%	24 Jul →
inferno	4–13	-0.02	15%	24 Jul →
mirage	3–13	-0.05	4%	15 Jul →
dust2	13–7	-0.08	17%	15 Jul →
dust2	12–12	-0.06	17%	15 Jul →
inferno	13–6	0.02	20%	14 Jul →
dust2	11–13	-0.01	20%	27 Jun →
mirage	1–5	-0.05	0%	27 Jun →
cache	2–13	-0.02	14%	27 Jun →
cache	13–4	-0.02	29%	23 Jun →
cache	3–13	0.03	22%	23 Jun →
cache	13–10	0.02	27%	22 Jun →
cache	10–13	-0.01	24%	19 Jun →
vertigo	9–13	-0.03	13%	12 Jun →
mirage	2–13	0.00	31%	12 Jun →
cache	12–12	-0.06	19%	2 Jun →
poseidon	8–8	-0.01	23%	2 Jun →
dust2	13–10	-0.07	18%	30 May →
inferno	9–13	0.01	22%	30 May →
office	13–3	-0.00	29%	30 May →
cache	13–7	0.03	14%	30 May →
cache	5–2	0.11	75%	29 May →
dust2	12–12	0.00	10%	29 May →
dust2	12–12	0.05	26%	29 May →
dust2	13–11	-0.03	14%	27 May →
nuke	13–5	-0.04	14%	26 May →
vertigo	6–13	0.00	12%	26 May →
nuke	13–3	0.02	22%	26 May →
cache	13–7	-0.00	17%	18 May →
dust2	4–13	0.06	24%	15 May →
inferno	13–9	0.07	31%	15 May →
dust2	9–13	-0.00	25%	12 May →
nuke	13–7	-0.01	17%	11 May →
cache	5–13	0.01	18%	11 May →
dust2	1–13	-0.05	16%	11 May →
inferno	13–7	0.05	12%	7 May →
cache	10–13	-0.08	6%	7 May →
mirage	13–9	-0.03	24%	7 May →
dust2	13–6	0.02	10%	5 May →
cache	13–9	0.08	25%	5 May →
dust2	12–12	-0.00	19%	4 May →
mirage	13–5	0.02	15%	4 May →
nuke	13–2	0.03	20%	30 Apr →
inferno	13–6	0.04	19%	30 Apr →
nuke	13–10	-0.01	23%	30 Apr →
inferno	13–2	0.02	10%	30 Apr →
mirage	13–11	-0.04	11%	30 Apr →
train	13–9	-0.04	18%	30 Apr →
cache	0–9	-0.03	15%	30 Apr →
inferno	11–13	-0.07	16%	30 Apr →
vertigo	13–2	0.06	12%	30 Apr →
overpass	13–8	0.03	9%	30 Apr →
cache	13–5	-0.02	16%	30 Apr →
mirage	3–13	-0.14	9%	29 Apr →
mirage	8–13	-0.02	18%	29 Apr →
nuke	13–11	0.01	20%	29 Apr →
cache	13–2	0.01	9%	29 Apr →
cache	4–11	-0.04	20%	29 Apr →
train	1–13	-0.03	15%	29 Apr →
cache	1–13	-0.00	29%	28 Apr →
overpass	13–9	0.04	22%	28 Apr →
dust2	13–9	0.01	9%	28 Apr →
overpass	7–13	-0.02	6%	28 Apr →
dust2	7–13	0.04	14%	28 Apr →
dust2	5–13	-0.07	11%	28 Apr →
dust2	13–9	0.04	30%	28 Apr →
train	13–7	-0.02	17%	28 Apr →
dust2	13–6	0.03	17%	24 Apr →
dust2	12–12	-0.06	19%	24 Apr →
dust2	10–13	-0.02	26%	22 Apr →
inferno	3–0	0.20	29%	22 Apr →
dust2	12–12	0.01	11%	22 Apr →
mirage	13–8	-0.03	12%	22 Apr →
inferno	13–8	-0.03	25%	22 Apr →
nuke	8–13	-0.04	17%	17 Apr →
dust2	13–5	0.01	20%	17 Apr →
inferno	12–12	-0.06	11%	17 Apr →
dust2	10–13	0.08	10%	17 Apr →
overpass	13–10	-0.04	18%	17 Apr →
mirage	13–2	-0.02	17%	12 Apr →
mirage	13–11	0.04	16%	12 Apr →
dust2	10–13	0.02	15%	12 Apr →
dust2	13–4	0.03	21%	12 Apr →
inferno	11–13	-0.05	3%	10 Apr →
mirage	13–4	-0.02	29%	10 Apr →
mirage	11–13	0.03	11%	10 Apr →
inferno	7–13	-0.01	10%	10 Apr →