batsu — CS2 Stats

US76561198046970226[U:1:86704498]Steam profile ↗✓ No bans

2,292Tracked matches62%Win rate2020Tracked since

3,882Hours in CS1Hrs last 2 wks

CSDB Rating8.2 StrongAggressive Rifler

Premier CS Rating25,000Top 25% of 29,473 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)

CSDB Leaderboard#6250 of 51921 tracked

FaceitLevel 10 · 1,783 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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	Level 10 median
Headshot rate	59.9%	51.9%
Shot accuracy	12.5%	13.7%
Kill/death ratio	1.01	1.08
Match win rate	47.5%	48.7%

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Performance scores

Aim93

Positioning59

Utility72

0–100 skill scores via Leetify.

Recent form

HOT49–45–6Last 10049%Win rateLLWWLWWWWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim9.3

Aggression8.9

Utility7.2

Positioning5.9

Opening Duels4.6

Clutch4.6

Sharp aimerExcellent counter-strafingStrong CT-side openerEffective flashes

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 device 95% playstyle similarity

Most alike: aim profile, opening-duel success.

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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 57% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms 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

Aim9.3

Positioning5.9

Utility7.2

Mechanics9.5

Opening Duels4.6

Win Impact9.0

Composite 8.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time587ms+28ms

first ⅓ avg 559ms → last ⅓ avg 587ms

Headshot accuracy28.2%−1.4%

first ⅓ avg 29.6% → last ⅓ avg 28.2%

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

0.17Best rating — mirage 13–2

13–0Biggest win — inferno

7Longest win streak

L2Current streak

8–12In matches decided by ≤2 rounds

13Overtime games

Map breakdown

ancientBest map · 67% over 9infernoWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	27	12–15	44%	0.03
mirage	A	19	11–8	58%	0.03
cache	A	18	10–8	56%	0.07
inferno	D	14	4–10	29%	0.04
ancient	S	9	6–3	67%	0.07
nuke	C	8	3–5	38%	0.04
anubis	A	5	3–2	60%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

158,604Lifetime kills

1.01K/D

4,781Matches

47.5%Match win rate

59.9%Headshot % · Top 25% of Level 10 players

12.5%Shot accuracy

14,866MVPs

5,842Hours (in match)

2,283Bombs planted

1,230Bombs defused

Most-used weapons

AK-4778,650

M4A4 / M4A1-S18,385

P2000 / USP-S13,395

Desert Eagle12,556

AWP7,637

Glock-186,541

MP92,809

P2502,222

Galil AR2,207

MAC-101,789

Lifetime map wins

14,165dust2

4,164inferno

1,028nuke

519vertigo

177train

111office

77cbble

47bank

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

498Matches

53%Win rate

1.61Avg K/D

105.4ADR

52%Headshot %

Clutches & streaks

43%1v1 clutch win

34%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	119	53%	1.57	21.2
Dust2	104	48%	1.49	21.3
Ancient	65	58%	1.81	22.4
Anubis	56	54%	1.78	23.5
Inferno	42	48%	1.49	20.6
Nuke	15	33%	1.25	19.3
Overpass	6	67%	1.60	27.7
Cache	5	60%	1.56	26.4

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

28.1%Headshot accuracy

37.7%Accuracy (enemy spotted)

43.5%Spray accuracy

92.6%Counter-strafing

8.9°Preaim

594msReaction time

40.2%T opening success

56.8%CT opening success

0.73Enemies flashed / flash

13.5%Flash assists

8.93HE damage / grenade

12.93Flashes / match

Recommended for you

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.

29% win rate across 14 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
cache	8–13	0.03	31%	15 Aug →
dust2	6–13	0.04	25%	14 Aug →
dust2	13–9	0.01	18%	14 Aug →
mirage	13–9	0.10	20%	13 Aug →
nuke	7–13	-0.06	19%	13 Aug →
cache	13–11	0.07	19%	9 Aug →
ancient	13–9	0.10	29%	9 Aug →
dust2	13–4	0.02	15%	9 Aug →
dust2	13–11	0.12	31%	8 Aug →
nuke	13–7	0.05	53%	8 Aug →
dust2	13–6	0.03	27%	7 Aug →
dust2	13–5	0.11	30%	7 Aug →
cache	11–13	0.01	29%	7 Aug →
cache	13–8	0.08	33%	6 Aug →
inferno	13–0	0.00	0%	6 Aug →
mirage	7–13	0.03	23%	6 Aug →
mirage	16–13	0.00	30%	4 Aug →
dust2	13–7	0.01	23%	4 Aug →
mirage	13–11	0.10	20%	30 Jul →
cache	11–13	0.03	31%	30 Jul →
ancient	13–0	0.04	35%	30 Jul →
dust2	11–13	0.02	30%	30 Jul →
anubis	2–13	-0.06	45%	30 Jul →
dust2	5–13	-0.02	40%	30 Jul →
cache	13–10	0.08	37%	30 Jul →
inferno	14–16	0.12	32%	30 Jul →
inferno	8–13	0.07	25%	28 Jul →
inferno	15–15	0.04	30%	28 Jul →
dust2	13–6	0.03	23%	28 Jul →
nuke	13–3	0.05	39%	28 Jul →
nuke	15–15	0.00	29%	28 Jul →
dust2	5–13	0.05	38%	26 Jul →
dust2	12–5	-0.00	26%	26 Jul →
nuke	13–4	0.15	35%	26 Jul →
cache	13–5	0.04	20%	26 Jul →
mirage	13–10	0.05	25%	26 Jul →
mirage	13–7	-0.02	33%	26 Jul →
dust2	3–13	0.03	35%	26 Jul →
dust2	6–13	0.00	19%	26 Jul →
cache	13–4	0.07	29%	26 Jul →
dust2	6–13	-0.01	8%	26 Jul →
dust2	13–9	0.08	21%	25 Jul →
nuke	9–13	0.02	33%	25 Jul →
inferno	13–4	0.08	26%	25 Jul →
dust2	11–13	-0.08	20%	25 Jul →
cache	9–13	0.17	38%	24 Jul →
inferno	11–13	0.06	20%	24 Jul →
inferno	9–13	0.02	21%	24 Jul →
ancient	13–5	0.03	25%	24 Jul →
dust2	5–13	0.06	31%	24 Jul →
cache	16–14	0.06	40%	23 Jul →
inferno	8–13	0.01	35%	23 Jul →
cache	15–15	0.05	19%	23 Jul →
ancient	7–13	0.11	41%	23 Jul →
mirage	12–2	0.09	36%	21 Jul →
dust2	15–15	0.07	43%	21 Jul →
cache	13–6	0.04	29%	21 Jul →
anubis	13–11	0.12	33%	21 Jul →
nuke	6–13	0.10	36%	21 Jul →
cache	12–12	0.07	33%	20 Jul →
inferno	10–13	0.06	37%	20 Jul →
mirage	10–13	0.01	19%	20 Jul →
ancient	10–1	0.08	21%	20 Jul →
dust2	11–13	0.06	26%	20 Jul →
cache	14–16	-0.03	35%	19 Jul →
dust2	13–10	0.07	24%	19 Jul →
mirage	13–11	0.01	25%	19 Jul →
cache	13–3	0.16	31%	19 Jul →
mirage	13–10	-0.01	32%	19 Jul →
inferno	9–13	-0.04	22%	18 Jul →
mirage	14–16	-0.06	16%	14 Jul →
inferno	11–13	0.02	16%	14 Jul →
mirage	13–2	0.17	27%	13 Jul →
mirage	13–6	0.01	25%	13 Jul →
ancient	9–13	0.10	29%	13 Jul →
cache	7–13	0.03	21%	13 Jul →
dust2	13–7	0.07	37%	13 Jul →
inferno	16–12	0.01	23%	13 Jul →
mirage	9–13	-0.03	18%	12 Jul →
dust2	3–13	-0.09	24%	12 Jul →
ancient	6–13	0.06	41%	12 Jul →
mirage	13–11	0.06	20%	12 Jul →
dust2	13–0	0.03	75%	12 Jul →
cache	13–7	0.17	31%	12 Jul →
dust2	7–13	-0.01	39%	12 Jul →
mirage	3–13	-0.01	25%	12 Jul →
mirage	9–13	-0.00	26%	11 Jul →
anubis	13–10	0.03	18%	11 Jul →
mirage	10–13	-0.03	25%	11 Jul →
dust2	9–13	-0.01	38%	11 Jul →
anubis	13–8	0.06	36%	11 Jul →
ancient	16–14	0.06	34%	10 Jul →
mirage	15–15	0.04	25%	10 Jul →
anubis	14–16	0.00	30%	10 Jul →
ancient	12–1	0.09	25%	10 Jul →
dust2	10–13	0.01	27%	10 Jul →
inferno	13–7	0.12	33%	10 Jul →
cache	13–10	0.14	33%	10 Jul →
inferno	5–13	-0.01	38%	8 Jul →
nuke	11–13	0.03	37%	8 Jul →