Sir Stonely — CS2 Stats

SO76561198330838718[U:1:370572990]Steam profile ↗✓ No bans

905Tracked matches50%Win rate2021Tracked since

CSDB Rating4.5 Developing

Premier CS Rating4,999Grey band · top ~78.8% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim56

Positioning53

Utility28

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateWLLLLWWLWW

Last 10 vs previous 10: -10pp win rate · +0.04 avg rating

Player DNA

Aim5.6

Aggression7.6

Utility2.8

Positioning5.3

Opening Duels3.1

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 b1t 83% playstyle similarity

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

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. 654ms 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

Aim5.6

Positioning5.3

Utility2.8

Mechanics6.9

Opening Duels3.1

Win Impact5.0

Composite 4.5/10 (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 rating0.01+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time653ms−61ms

first ⅓ avg 714ms → last ⅓ avg 653ms

Headshot accuracy14.1%+0.4%

first ⅓ avg 13.7% → last ⅓ avg 14.1%

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 — cache 13–6

12–0Biggest win — anubis

5Longest win streak

4–8In matches decided by ≤2 rounds

1Overtime games

Map breakdown

cacheBest map · 57% over 14infernoWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	25	11–14	44%	0.01
dust2	B	21	11–10	52%	-0.01
nuke	C	17	7–10	41%	-0.00
cache	A	14	8–6	57%	0.01
inferno	D	9	3–6	33%	-0.03
ancient	D	9	3–6	33%	-0.01
anubis	—	4	2–2	50%	0.02
overpass	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). 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.

14.3%Headshot accuracy

34.9%Accuracy (enemy spotted)

37.5%Spray accuracy

81.0%Counter-strafing

11.1°Preaim

654msReaction time

40.3%T opening success

44.2%CT opening success

0.38Enemies flashed / flash

5.4%Flash assists

8.14HE damage / grenade

1.67Flashes / 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 14.2816% — 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 0.3754 — 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.

33% win rate across 9 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
inferno	13–6	-0.04	5%	28 Aug →
mirage	9–13	-0.03	10%	28 Aug →
ancient	5–13	0.03	9%	27 Aug →
dust2	9–13	-0.05	14%	27 Aug →
dust2	5–13	0.01	13%	24 Aug →
mirage	13–5	0.08	10%	24 Aug →
nuke	13–10	0.13	14%	24 Aug →
ancient	11–13	0.02	13%	23 Aug →
cache	13–6	0.16	5%	23 Aug →
dust2	13–2	0.01	21%	18 Aug →
mirage	13–9	-0.04	13%	18 Aug →
nuke	3–13	-0.04	12%	18 Aug →
anubis	13–9	-0.01	21%	18 Aug →
cache	8–3	-0.06	27%	18 Aug →
ancient	13–7	0.01	13%	18 Aug →
inferno	6–13	-0.08	35%	18 Aug →
dust2	13–5	0.05	8%	18 Aug →
mirage	11–13	0.01	12%	17 Aug →
anubis	4–13	-0.03	11%	11 Aug →
dust2	13–5	0.08	14%	11 Aug →
mirage	13–3	0.01	11%	11 Aug →
inferno	9–13	0.01	25%	11 Aug →
mirage	11–13	0.03	7%	10 Aug →
nuke	3–13	0.02	13%	10 Aug →
cache	13–2	0.10	8%	10 Aug →
nuke	8–13	0.00	23%	4 Aug →
cache	0–13	-0.10	10%	4 Aug →
mirage	8–13	-0.07	24%	4 Aug →
nuke	13–10	0.02	12%	4 Aug →
mirage	13–3	0.01	17%	4 Aug →
mirage	7–13	0.09	9%	4 Aug →
cache	8–13	0.06	11%	27 Jul →
anubis	12–0	0.07	16%	27 Jul →
nuke	7–13	0.07	16%	27 Jul →
cache	13–11	0.01	11%	27 Jul →
nuke	13–9	-0.07	8%	26 Jul →
dust2	13–4	-0.01	8%	26 Jul →
mirage	9–13	0.10	13%	26 Jul →
cache	13–7	0.05	15%	14 Jul →
mirage	5–13	-0.05	3%	14 Jul →
cache	13–11	-0.02	8%	14 Jul →
inferno	8–13	-0.07	10%	14 Jul →
mirage	10–13	0.04	9%	14 Jul →
dust2	8–13	0.01	14%	14 Jul →
cache	12–16	0.02	10%	13 Jul →
cache	12–12	-0.04	20%	13 Jul →
mirage	13–6	-0.03	14%	13 Jul →
dust2	13–4	-0.05	7%	13 Jul →
dust2	11–13	-0.05	17%	13 Jul →
nuke	13–7	-0.13	6%	13 Jul →
mirage	13–6	-0.01	21%	13 Jul →
cache	6–13	-0.06	10%	12 Jul →
ancient	9–13	-0.10	9%	7 Jul →
mirage	13–11	0.04	11%	7 Jul →
cache	13–6	0.06	6%	7 Jul →
mirage	13–6	0.05	13%	6 Jul →
mirage	1–6	0.02	9%	6 Jul →
nuke	13–7	-0.05	12%	6 Jul →
ancient	13–6	0.03	13%	6 Jul →
dust2	6–13	-0.03	6%	6 Jul →
dust2	13–6	-0.01	19%	6 Jul →
nuke	13–3	-0.07	7%	6 Jul →
dust2	13–4	-0.00	19%	5 Jul →
mirage	5–13	-0.07	19%	5 Jul →
dust2	13–7	-0.00	11%	5 Jul →
dust2	8–13	-0.02	19%	5 Jul →
mirage	8–13	0.05	24%	5 Jul →
ancient	5–13	-0.02	8%	5 Jul →
nuke	11–13	0.02	15%	5 Jul →
dust2	13–9	-0.04	22%	5 Jul →
dust2	8–13	0.02	20%	5 Jul →
mirage	5–13	-0.01	10%	5 Jul →
overpass	13–3	0.02	13%	5 Jul →
mirage	13–9	-0.02	6%	4 Jul →
nuke	9–13	0.03	16%	2 Jul →
dust2	13–7	-0.01	10%	2 Jul →
anubis	11–13	0.03	13%	25 Jun →
mirage	3–13	-0.04	17%	25 Jun →
inferno	4–13	0.00	16%	22 Jun →
dust2	11–13	-0.01	14%	22 Jun →
mirage	9–13	0.02	10%	22 Jun →
inferno	12–12	-0.10	15%	22 Jun →
mirage	13–4	0.09	16%	22 Jun →
cache	13–6	0.06	17%	22 Jun →
nuke	7–13	0.00	12%	21 Jun →
mirage	13–10	-0.04	16%	16 Jun →
inferno	13–3	-0.00	15%	16 Jun →
nuke	13–1	0.03	14%	16 Jun →
ancient	13–11	-0.03	14%	16 Jun →
dust2	13–7	-0.04	29%	16 Jun →
nuke	11–13	0.01	15%	16 Jun →
dust2	12–12	0.04	11%	16 Jun →
dust2	2–13	-0.03	15%	15 Jun →
inferno	4–13	-0.07	21%	15 Jun →
nuke	3–13	-0.01	5%	9 Jun →
nuke	5–13	-0.01	11%	8 Jun →
ancient	10–13	0.01	9%	8 Jun →
cache	6–13	-0.03	9%	2 Jun →
inferno	7–0	0.09	9%	2 Jun →
ancient	3–13	-0.06	8%	1 Jun →