B Dotty — CS2 Stats

76561199506969293[U:1:1546703565]Steam profile ↗✓ No bans

1,503Tracked matches21%Win rate2025Tracked since

1,635Hours in CS12Hrs last 2 wks

CSDB Rating2.5 Learning

Premier CS Rating8,083Light Blue band · top ~64.1% of ranked players (population est.)

CSDB Leaderboard#34386 of 46318 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Light Blue band median	Blue band median	vs Blue band
Headshot rate	29.3%	39.7%	41.4%	12.1% short
Shot accuracy	0.0%	6.7%	9.0%	9.0% short
Kill/death ratio	0.93	0.91	0.97	0.05 short
Match win rate	47.2%	42.1%	43.7%	above

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim46

Positioning32

Utility7

0–100 skill scores via Leetify.

Recent form

COLD37–56–7Last 10037%Win rateLTLLWLLLLL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Aim4.6

Aggression2.5

Utility0.7

Positioning3.2

Opening Duels0.1

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 62% 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. 594ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim4.6

Positioning3.2

Utility0.7

Mechanics4.4

Opening Duels0.4

Win Impact0.0

Composite 2.5/10 (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-0.01−0.07

first ⅓ avg 0.06 → last ⅓ avg -0.01

Reaction time582ms+152ms

first ⅓ avg 430ms → last ⅓ avg 582ms

Headshot accuracy12.0%+1.1%

first ⅓ avg 10.9% → last ⅓ avg 12.0%

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 16–13

13–3Biggest win — nuke

4Longest win streak

5–8In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 59% over 17infernoWeakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	27	14–13	52%	0.04
mirage	D	17	3–14	18%	0.02
nuke	A	17	10–7	59%	0.02
ancient	C	16	6–10	38%	0.02
inferno	D	12	2–10	17%	0.03
cache	D	6	1–5	17%	0.04
anubis	—	4	1–3	25%	0.06
vertigo	—	1	0–1	0%	0.05

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.

Lifetime stats

33,350Lifetime kills

0.93K/D · Top 50% of Light Blue band

2,286Matches

47.2%Match win rate · Top 25% of Light Blue band

29.3%Headshot %

0.0%Shot accuracy

4,887MVPs

918Hours (in match)

3,091Bombs planted

791Bombs defused

Most-used weapons

Negev19,187

AK-472,060

AWP1,851

P901,780

MP71,668

Glock-181,594

M4A4 / M4A1-S1,542

P2000 / USP-S1,197

PP-Bizon613

MAC-10370

Lifetime map wins

6,207dust2

4,109nuke

2,745inferno

1,043train

420vertigo

24italy

6office

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.

12.1%Headshot accuracy

32.7%Accuracy (enemy spotted)

31.9%Spray accuracy

69.7%Counter-strafing

10.0°Preaim

594msReaction time

27.9%T opening success

33.3%CT opening success

0.08Enemies flashed / flash

0.0%Flash assists

6.31HE damage / grenade

0.68Flashes / 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 12.0878% — 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 0.0778 — 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 27.8795% — below the 40% mark we flag

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
dust2	6–13	-0.03	10%	28 Aug →
ancient	15–15	0.00	24%	27 Aug →
mirage	8–13	0.01	13%	26 Aug →
dust2	6–13	-0.06	20%	26 Aug →
nuke	13–5	0.03	14%	25 Aug →
dust2	5–13	0.09	13%	25 Aug →
mirage	6–13	-0.02	17%	25 Aug →
nuke	10–13	-0.08	7%	24 Aug →
mirage	7–13	-0.01	11%	24 Aug →
dust2	11–13	-0.04	15%	24 Aug →
dust2	13–8	-0.03	23%	21 Aug →
inferno	4–13	-0.13	9%	19 Aug →
dust2	11–13	-0.04	7%	19 Aug →
nuke	8–13	-0.00	7%	18 Aug →
mirage	4–13	-0.04	10%	16 Aug →
dust2	9–13	0.02	20%	16 Aug →
ancient	5–13	-0.10	7%	16 Aug →
mirage	10–13	0.02	8%	14 Aug →
nuke	1–13	-0.06	11%	12 Aug →
ancient	4–13	-0.05	16%	12 Aug →
ancient	13–9	0.07	7%	10 Aug →
inferno	5–13	0.05	8%	10 Aug →
nuke	8–8	0.04	12%	10 Aug →
cache	11–13	-0.01	11%	8 Aug →
mirage	13–11	0.03	9%	7 Aug →
dust2	10–13	0.01	11%	7 Aug →
nuke	5–13	0.00	12%	7 Aug →
dust2	13–6	0.04	14%	7 Aug →
nuke	6–13	-0.02	5%	6 Aug →
dust2	13–9	0.04	16%	6 Aug →
nuke	3–13	-0.02	2%	5 Aug →
dust2	13–6	0.00	13%	5 Aug →
inferno	5–13	0.07	16%	5 Aug →
inferno	9–13	-0.04	9%	5 Aug →
dust2	13–11	0.01	19%	4 Aug →
mirage	8–13	0.02	22%	4 Aug →
anubis	15–15	0.02	9%	4 Aug →
ancient	11–13	-0.02	13%	3 Aug →
nuke	13–8	0.04	7%	3 Aug →
mirage	10–13	0.08	16%	2 Aug →
dust2	13–10	0.10	9%	2 Aug →
mirage	16–13	0.07	13%	2 Aug →
ancient	7–13	0.02	9%	2 Aug →
dust2	13–9	0.15	16%	2 Aug →
anubis	14–16	0.04	11%	2 Aug →
ancient	4–13	-0.06	8%	2 Aug →
cache	7–13	0.02	16%	31 Jul →
dust2	13–10	0.06	8%	30 Jul →
anubis	8–13	0.03	18%	30 Jul →
dust2	7–13	0.00	12%	30 Jul →
ancient	15–15	-0.04	2%	29 Jul →
vertigo	5–13	0.05	10%	29 Jul →
mirage	3–13	0.02	4%	29 Jul →
dust2	16–13	0.07	14%	28 Jul →
mirage	2–13	-0.06	11%	28 Jul →
dust2	6–13	0.06	4%	28 Jul →
inferno	13–16	0.08	9%	27 Jul →
cache	13–5	0.14	15%	27 Jul →
mirage	13–10	0.08	10%	27 Jul →
inferno	13–6	0.08	8%	27 Jul →
ancient	5–13	0.03	10%	27 Jul →
dust2	13–10	0.00	11%	26 Jul →
inferno	11–13	-0.03	14%	24 Jul →
nuke	13–8	0.02	7%	24 Jul →
inferno	2–13	0.03	2%	23 Jul →
dust2	10–13	0.09	9%	23 Jul →
ancient	13–6	-0.02	13%	23 Jul →
cache	6–13	-0.02	12%	23 Jul →
anubis	16–13	0.15	12%	23 Jul →
nuke	13–6	0.02	8%	22 Jul →
ancient	13–8	0.14	8%	22 Jul →
dust2	13–8	0.03	16%	22 Jul →
mirage	8–13	-0.04	12%	21 Jul →
ancient	6–13	0.06	13%	20 Jul →
ancient	13–8	0.08	4%	20 Jul →
nuke	13–3	0.09	15%	20 Jul →
dust2	13–8	0.15	16%	19 Jul →
mirage	8–13	-0.02	13%	19 Jul →
nuke	13–9	0.02	9%	19 Jul →
dust2	7–13	0.11	11%	19 Jul →
mirage	11–13	0.07	10%	19 Jul →
ancient	13–11	0.13	12%	19 Jul →
inferno	13–7	0.16	11%	19 Jul →
nuke	13–5	0.10	6%	19 Jul →
ancient	15–15	0.06	3%	19 Jul →
dust2	16–13	0.16	3%	19 Jul →
mirage	7–13	0.02	2%	19 Jul →
nuke	13–8	0.00	16%	18 Jul →
cache	11–13	0.08	5%	18 Jul →
dust2	13–10	0.10	6%	18 Jul →
cache	15–15	0.04	20%	18 Jul →
inferno	9–13	0.07	8%	18 Jul →
inferno	15–15	0.06	13%	18 Jul →
dust2	7–13	0.00	12%	17 Jul →
inferno	7–13	0.02	11%	16 Jul →
nuke	13–11	0.09	12%	16 Jul →
dust2	8–13	-0.03	10%	16 Jul →
nuke	13–11	0.08	22%	16 Jul →
ancient	13–9	0.06	15%	15 Jul →
mirage	13–16	0.09	18%	15 Jul →