ASUNA — CS2 Stats

76561199115301209[U:1:1155035481]

504Tracked matches50%Win rate2020Tracked since

954Hours in CS3Hrs last 2 wks

CSDB Rating6.3 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim78

Positioning56

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateLTWWWWWLLW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.8

Aggression6.5

Utility5.5

Positioning5.6

Opening Duels3.4

Strong CT-side opener

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 92% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

T-side openings. Opening success drops from 60% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 639ms 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

Aim7.8

Positioning5.6

Utility5.5

Mechanics7.8

Opening Duels3.7

Win Impact5.0

Composite 6.3/10 (Solid), 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 rating0.03−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time629ms+6ms

first ⅓ avg 623ms → last ⅓ avg 629ms

Headshot accuracy27.4%+2.0%

first ⅓ avg 25.4% → last ⅓ avg 27.4%

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

0.22Best rating — dust2 13–7

13–0Biggest win — train

5Longest win streak

5–4In matches decided by ≤2 rounds

4Overtime games

Map breakdown

anubisBest map · 63% over 8infernoWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	14–17	45%	0.04
mirage	B	28	14–14	50%	0.02
inferno	D	11	3–8	27%	0.01
anubis	A	8	5–3	63%	0.04
ancient	C	7	3–4	43%	0.01
nuke	B	6	3–3	50%	0.03
cache	—	3	3–0	100%	0.04
train	—	2	2–0	100%	0.11
overpass	—	2	1–1	50%	0.03
vertigo	—	2	2–0	100%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,060Lifetime kills

1.57K/D · Top 5% of tracked players

1,636Matches

59.7%Match win rate · Top 5% of tracked players

55.5%Headshot % · Top 25% of tracked players

5.8%Shot accuracy

3,664MVPs

458Hours (in match)

1,293Bombs planted

342Bombs defused

Most-used weapons

AK-4711,223

M4A4 / M4A1-S4,591

AWP2,558

Desert Eagle2,067

SSG 081,113

P2000 / USP-S1,072

Glock-18776

MP9446

Galil AR347

MP7345

Lifetime map wins

4,086dust2

1,335inferno

829vertigo

664nuke

123train

113italy

113office

46assault

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.

27.2%Headshot accuracy

33.0%Accuracy (enemy spotted)

33.5%Spray accuracy

85.1%Counter-strafing

8.5°Preaim

639msReaction time

27.2%T opening success

59.8%CT opening success

0.60Enemies flashed / flash

5.5%Flash assists

5.96HE damage / grenade

8.20Flashes / 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.

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 27.2318% — 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.

27% win rate across 11 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	3–13	0.01	27%	24 Aug →
inferno	12–12	-0.02	36%	22 Aug →
dust2	13–8	0.07	29%	22 Aug →
anubis	13–10	0.08	27%	13 Aug →
inferno	13–4	0.07	34%	12 Aug →
mirage	16–12	-0.01	16%	1 Aug →
mirage	13–9	0.10	30%	1 Aug →
dust2	8–13	-0.00	26%	1 Aug →
ancient	9–13	0.01	34%	31 Jul →
mirage	13–3	0.04	27%	31 Jul →
mirage	13–9	0.07	38%	31 Jul →
mirage	8–13	-0.01	23%	29 Jul →
nuke	13–10	-0.04	18%	29 Jul →
dust2	13–2	0.06	38%	28 Jul →
ancient	13–7	0.00	27%	28 Jul →
mirage	11–13	0.08	32%	25 Jul →
nuke	11–13	0.02	19%	25 Jul →
cache	13–8	0.07	41%	25 Jul →
mirage	7–13	0.01	38%	24 Jul →
dust2	9–13	0.01	21%	24 Jul →
mirage	13–8	0.02	24%	24 Jul →
mirage	8–13	0.01	18%	27 Jun →
mirage	6–13	0.01	18%	26 Jun →
dust2	12–12	0.07	17%	26 Jun →
dust2	2–13	-0.06	28%	26 Jun →
anubis	13–8	0.08	31%	25 Jun →
dust2	9–13	-0.02	27%	25 Jun →
mirage	10–13	0.10	25%	25 Jun →
mirage	13–9	-0.01	32%	24 Jun →
inferno	8–13	0.00	26%	24 Jun →
dust2	15–15	0.05	21%	24 Jun →
ancient	11–13	0.06	30%	24 Jun →
nuke	13–5	0.11	26%	24 Jun →
cache	13–8	-0.01	24%	23 Jun →
inferno	8–13	0.00	19%	23 Jun →
mirage	13–9	0.07	20%	23 Jun →
inferno	13–11	-0.02	15%	22 Jun →
dust2	9–13	-0.01	8%	22 Jun →
mirage	13–11	-0.01	21%	22 Jun →
mirage	8–13	-0.03	21%	22 Jun →
mirage	6–13	0.03	26%	22 Jun →
ancient	13–6	-0.01	29%	21 Jun →
dust2	13–8	0.08	19%	20 Jun →
dust2	9–13	0.00	25%	20 Jun →
dust2	12–1	0.01	26%	20 Jun →
mirage	13–11	0.08	31%	19 Jun →
dust2	13–11	-0.01	33%	18 Jun →
dust2	5–13	-0.09	26%	18 Jun →
mirage	13–7	0.03	20%	17 Jun →
nuke	10–13	0.01	38%	17 Jun →
dust2	6–13	-0.02	27%	16 Jun →
dust2	15–15	0.01	22%	15 Jun →
dust2	13–16	0.16	37%	11 Jun →
train	13–4	0.12	27%	10 Jun →
inferno	5–13	-0.01	13%	9 Jun →
dust2	13–6	0.02	27%	9 Jun →
mirage	13–7	-0.02	27%	9 Jun →
dust2	13–8	0.06	21%	8 Jun →
dust2	10–13	0.07	20%	8 Jun →
inferno	11–13	0.10	32%	7 Jun →
anubis	4–13	0.03	22%	7 Jun →
mirage	4–13	0.01	33%	7 Jun →
mirage	4–13	0.01	38%	7 Jun →
cache	13–9	0.07	23%	7 Jun →
mirage	9–13	0.01	30%	6 Jun →
overpass	7–13	0.00	26%	6 Jun →
nuke	13–1	0.05	23%	6 Jun →
mirage	10–13	-0.03	42%	5 Jun →
dust2	7–13	0.01	31%	5 Jun →
mirage	6–13	-0.05	14%	5 Jun →
anubis	8–13	-0.01	29%	5 Jun →
mirage	13–3	0.06	17%	5 Jun →
inferno	4–13	0.01	39%	4 Jun →
vertigo	13–9	0.04	23%	4 Jun →
vertigo	13–2	0.01	41%	4 Jun →
dust2	0–13	-0.07	33%	4 Jun →
dust2	13–7	0.04	19%	4 Jun →
dust2	6–13	0.00	20%	4 Jun →
train	13–0	0.11	15%	4 Jun →
dust2	13–4	0.07	21%	4 Jun →
anubis	13–1	-0.02	16%	4 Jun →
anubis	13–8	-0.03	21%	4 Jun →
anubis	6–13	0.05	27%	4 Jun →
nuke	10–13	0.05	42%	3 Jun →
overpass	13–9	0.07	27%	2 Jun →
anubis	13–8	0.14	29%	2 Jun →
inferno	4–13	-0.03	31%	2 Jun →
ancient	12–12	0.06	24%	2 Jun →
dust2	13–7	0.22	36%	2 Jun →
dust2	13–3	0.17	26%	2 Jun →
inferno	4–13	-0.04	27%	1 Jun →
dust2	13–3	0.00	13%	1 Jun →
ancient	13–8	0.01	23%	1 Jun →
inferno	13–8	-0.01	22%	1 Jun →
mirage	13–6	0.05	17%	1 Jun →
dust2	13–10	0.14	19%	31 May →
dust2	10–13	0.12	19%	31 May →
mirage	13–11	-0.00	26%	31 May →
ancient	9–13	-0.02	19%	31 May →
dust2	13–8	0.01	28%	31 May →