think batman, but black. — CS2 Stats

AU76561197976538429[U:1:16272701]Steam profile ↗

1,142Tracked matches57%Win rate2021Tracked since

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating20,111Top 50% of 29,473 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)

CSDB Leaderboard#19791 of 52922 tracked

Ladder ranks via Leetify

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Performance scores

Aim70

Positioning58

Utility59

0–100 skill scores via Leetify.

Recent form

HOT54–41–5Last 10054%Win rateWTWLWLWWWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

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

Aim7.0

Aggression7.3

Utility5.9

Positioning5.8

Opening Duels4.3

Clutch4.4

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 iM 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Strengths

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 64% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 589ms 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

Aim7.0

Positioning5.8

Utility5.9

Mechanics5.6

Opening Duels4.3

Win Impact7.4

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time586ms−22ms

first ⅓ avg 608ms → last ⅓ avg 586ms

Headshot accuracy20.3%+3.5%

first ⅓ avg 16.8% → last ⅓ avg 20.3%

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

0.15Best rating — anubis 13–6

13–1Biggest win — dust2

6Longest win streak

4–5In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 70% over 10cacheWeakest map · 44% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	30	17–13	57%	0.00
nuke	B	19	9–10	47%	0.00
cache	C	18	8–10	44%	0.01
anubis	S	16	11–5	69%	0.03
inferno	S	10	7–3	70%	0.00
mirage	—	3	1–2	33%	0.00
ancient	—	3	1–2	33%	-0.02
overpass	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Faceit stats

Combat

380Matches

52%Win rate

1.03Avg K/D

80.8ADR

53%Headshot %

Clutches & streaks

42%1v1 clutch win

17%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	77	45%	1.02	15.5
Inferno	73	58%	1.03	15.5
Anubis	64	53%	0.94	13.8
Nuke	47	51%	1.04	15.4
Ancient	36	53%	1.08	15.3
Mirage	25	36%	0.78	13.8
Overpass	22	77%	1.41	16.1
Vertigo	18	67%	1.09	15.3

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.

18.5%Headshot accuracy

33.8%Accuracy (enemy spotted)

39.3%Spray accuracy

75.4%Counter-strafing

8.8°Preaim

589msReaction time

30.1%T opening success

64.3%CT opening success

0.53Enemies flashed / flash

3.3%Flash assists

8.75HE damage / grenade

12.36Flashes / 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 30.0886% — below the 40% mark we flag

Spend your practice time on Cache

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

44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–8	-0.02	24%	30 Aug →
cache	15–15	-0.01	20%	30 Aug →
dust2	13–9	0.05	20%	30 Aug →
dust2	5–13	-0.10	33%	25 Aug →
anubis	13–7	-0.03	24%	25 Aug →
cache	6–13	-0.03	13%	24 Aug →
nuke	2–0	0.08	67%	24 Aug →
cache	13–7	0.02	22%	24 Aug →
dust2	16–14	0.02	21%	24 Aug →
cache	13–6	0.02	20%	19 Aug →
nuke	13–3	0.08	25%	19 Aug →
dust2	9–13	-0.05	22%	19 Aug →
nuke	6–13	-0.03	22%	16 Aug →
dust2	8–13	-0.05	14%	16 Aug →
cache	15–15	-0.04	12%	16 Aug →
anubis	10–13	-0.02	18%	14 Aug →
dust2	13–7	-0.01	17%	14 Aug →
cache	13–5	0.05	19%	14 Aug →
anubis	13–9	0.02	12%	14 Aug →
dust2	4–13	-0.04	28%	12 Aug →
inferno	13–10	0.07	21%	12 Aug →
nuke	5–13	-0.02	18%	8 Aug →
nuke	5–13	0.00	13%	8 Aug →
dust2	13–3	0.01	20%	8 Aug →
nuke	13–6	0.01	19%	8 Aug →
inferno	8–13	0.01	9%	8 Aug →
cache	16–13	0.01	14%	6 Aug →
anubis	7–13	-0.03	13%	6 Aug →
dust2	10–13	0.00	20%	5 Aug →
cache	13–4	0.10	15%	3 Aug →
dust2	11–13	-0.02	18%	3 Aug →
nuke	13–7	0.03	18%	3 Aug →
anubis	13–9	0.00	22%	2 Aug →
nuke	13–6	0.00	18%	2 Aug →
mirage	4–13	-0.06	13%	30 Jul →
anubis	13–7	0.04	18%	30 Jul →
dust2	13–8	-0.06	17%	30 Jul →
dust2	13–1	0.00	29%	29 Jul →
anubis	14–16	0.02	22%	29 Jul →
cache	19–17	-0.05	16%	28 Jul →
inferno	13–3	-0.01	16%	28 Jul →
dust2	13–4	0.08	12%	28 Jul →
nuke	13–8	0.03	17%	27 Jul →
nuke	13–9	-0.01	13%	27 Jul →
ancient	9–13	0.03	13%	27 Jul →
cache	7–13	-0.03	20%	26 Jul →
cache	7–13	-0.05	10%	26 Jul →
anubis	10–13	0.04	20%	24 Jul →
nuke	11–13	-0.01	9%	24 Jul →
dust2	15–15	0.06	16%	24 Jul →
dust2	13–7	0.04	20%	23 Jul →
inferno	13–10	0.04	13%	23 Jul →
dust2	10–13	-0.06	25%	21 Jul →
nuke	7–13	-0.02	13%	21 Jul →
anubis	16–13	0.07	11%	21 Jul →
nuke	11–13	-0.05	14%	20 Jul →
dust2	13–3	0.03	20%	20 Jul →
anubis	7–13	0.04	16%	20 Jul →
dust2	6–13	-0.09	20%	19 Jul →
cache	13–7	0.03	23%	19 Jul →
inferno	3–13	-0.04	15%	19 Jul →
dust2	13–5	0.08	22%	19 Jul →
cache	7–13	-0.01	11%	16 Jul →
nuke	8–13	-0.03	12%	16 Jul →
cache	15–15	-0.04	18%	16 Jul →
inferno	13–5	0.05	15%	13 Jul →
anubis	13–8	0.05	17%	13 Jul →
dust2	6–13	-0.01	15%	13 Jul →
dust2	2–13	0.07	44%	12 Jul →
cache	10–13	0.03	12%	11 Jul →
inferno	13–4	-0.08	5%	11 Jul →
dust2	13–7	0.07	26%	11 Jul →
cache	10–13	0.01	17%	11 Jul →
nuke	1–13	-0.04	14%	11 Jul →
dust2	13–6	0.03	21%	10 Jul →
cache	13–7	0.13	26%	10 Jul →
inferno	13–5	-0.00	13%	9 Jul →
anubis	13–4	0.07	11%	9 Jul →
cache	10–13	0.01	18%	9 Jul →
inferno	2–13	-0.04	35%	5 Jul →
anubis	13–9	-0.02	12%	5 Jul →
dust2	13–10	-0.05	19%	5 Jul →
anubis	13–5	0.01	13%	30 Jun →
nuke	13–7	0.09	25%	30 Jun →
mirage	13–5	0.12	27%	29 Jun →
inferno	13–10	0.03	14%	29 Jun →
mirage	4–13	-0.05	13%	27 Jun →
dust2	13–8	0.01	21%	27 Jun →
nuke	10–13	-0.03	14%	27 Jun →
dust2	13–5	-0.02	16%	27 Jun →
ancient	1–13	-0.11	10%	27 Jun →
dust2	15–15	0.02	7%	25 Jun →
overpass	8–13	0.04	5%	25 Jun →
dust2	13–9	0.01	17%	24 Jun →
ancient	13–8	0.04	15%	23 Jun →
anubis	13–10	0.06	12%	23 Jun →
nuke	16–14	-0.03	11%	23 Jun →
anubis	13–6	0.15	11%	22 Jun →
nuke	11–13	-0.00	17%	22 Jun →
dust2	5–13	0.02	19%	22 Jun →