Rectangle — CS2 Stats

76561198160533912[U:1:200268184]Steam profile ↗✓ No bans

1,325Tracked matches52%Win rate2021Tracked since

3,287Hours in CS5Hrs last 2 wks

CSDB Rating7.0 StrongAggressive Rifler

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim91

Positioning72

Utility61

0–100 skill scores via Leetify.

Recent form

HOT49–47–4Last 10049%Win rateLLWWWWWWLW

Last 10 vs previous 10: +40pp win rate · +0.00 avg rating

Player DNA

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

Aim9.1

Aggression10.0

Utility6.1

Positioning7.2

Opening Duels5.6

Clutch4.8

Sharp aimerStrong 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 sh1ro 97% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

CT openings. 61% 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 61% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.1

Positioning7.2

Utility6.1

Mechanics8.1

Opening Duels5.6

Win Impact5.6

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time555ms−9ms

first ⅓ avg 564ms → last ⅓ avg 555ms

Headshot accuracy20.3%−1.7%

first ⅓ avg 22.0% → 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 — overpass 13–9

13–0Biggest win — overpass

7Longest win streak

L2Current streak

5–4In matches decided by ≤2 rounds

7Overtime games

Map breakdown

dust2Best map · 67% over 9anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	26	13–13	50%	0.02
nuke	B	20	10–10	50%	0.02
inferno	B	16	8–8	50%	0.04
cache	A	14	8–6	57%	0.04
dust2	S	9	6–3	67%	0.01
anubis	D	6	1–5	17%	0.04
ancient	—	4	1–3	25%	-0.03
overpass	—	4	2–2	50%	0.09
office	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

98,062Lifetime kills

1.32K/D · Top 10% of tracked players

4,560Matches

42.5%Match win rate

49.0%Headshot % · Top 50% of tracked players

11.4%Shot accuracy

13,227MVPs

1,551Hours (in match)

3,140Bombs planted

1,253Bombs defused

Most-used weapons

AK-4733,147

M4A4 / M4A1-S13,401

AWP10,494

Desert Eagle7,233

P2000 / USP-S6,662

Glock-183,913

P2502,206

MP91,708

Galil AR1,532

SG 5531,418

Lifetime map wins

5,836inferno

4,467dust2

2,811nuke

2,301vertigo

1,581train

1,340cbble

522office

144lake

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

Faceit stats

Combat

153Matches

61%Win rate

1.58Avg K/D

91.7ADR

42%Headshot %

Clutches & streaks

44%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	48	62%	1.52	18.6
Nuke	28	71%	1.55	17.6
Dust2	21	67%	1.98	18.7
Ancient	20	30%	1.31	17.9
Inferno	18	67%	1.55	21.9
Anubis	7	43%	1.44	19.1
Vertigo	7	100%	2.00	18.9
Train	1	100%	1.31	21.0

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.

20.0%Headshot accuracy

42.4%Accuracy (enemy spotted)

42.7%Spray accuracy

86.3%Counter-strafing

8.8°Preaim

545msReaction time

44.2%T opening success

60.7%CT opening success

0.61Enemies flashed / flash

12.7%Flash assists

8.34HE damage / grenade

9.42Flashes / match

Recommended for you

Spend your practice time on Anubis

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 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	9–13	0.03	19%	27 Aug →
cache	5–13	0.01	33%	25 Aug →
mirage	13–1	0.01	17%	17 Aug →
dust2	13–11	-0.01	15%	17 Aug →
nuke	13–9	-0.01	24%	15 Aug →
inferno	13–4	0.14	22%	15 Aug →
inferno	13–3	0.05	7%	15 Aug →
anubis	13–11	-0.00	12%	14 Aug →
cache	6–13	0.04	10%	14 Aug →
cache	13–11	0.11	14%	12 Aug →
mirage	12–16	0.04	13%	29 Jul →
dust2	6–13	0.05	22%	15 Jul →
cache	13–5	0.07	15%	15 Jul →
nuke	5–13	-0.04	24%	14 Jul →
ancient	5–13	-0.06	16%	14 Jul →
anubis	11–13	0.10	23%	14 Jul →
mirage	13–8	0.02	19%	14 Jul →
inferno	13–10	0.04	29%	14 Jul →
nuke	4–13	0.12	24%	10 Jul →
anubis	12–12	0.02	17%	10 Jul →
mirage	13–4	0.11	21%	10 Jul →
office	9–13	-0.02	22%	10 Jul →
cache	13–16	0.03	22%	10 Jul →
cache	13–7	0.02	21%	25 Jun →
dust2	4–13	0.02	13%	25 Jun →
nuke	13–6	0.13	27%	25 Jun →
inferno	8–13	0.04	34%	24 Jun →
cache	13–4	0.02	20%	24 Jun →
overpass	13–9	0.15	22%	24 Jun →
nuke	7–13	0.02	21%	1 Jun →
dust2	13–7	-0.05	24%	28 May →
anubis	10–13	0.08	28%	26 May →
mirage	7–13	-0.00	17%	26 May →
mirage	13–9	0.09	22%	26 May →
nuke	13–10	0.07	22%	26 May →
inferno	13–6	0.05	20%	26 May →
dust2	13–10	0.02	21%	25 May →
cache	3–13	-0.01	19%	25 May →
cache	13–4	0.08	16%	17 May →
inferno	10–13	0.02	15%	17 May →
mirage	13–9	0.05	19%	17 May →
nuke	13–8	0.00	38%	14 May →
ancient	5–13	-0.02	16%	14 May →
ancient	13–10	0.04	30%	11 May →
inferno	6–13	0.08	19%	7 May →
nuke	13–6	-0.01	21%	7 May →
mirage	10–13	-0.02	18%	5 May →
nuke	8–13	-0.01	14%	4 May →
cache	13–5	-0.04	31%	4 May →
nuke	11–13	-0.05	12%	4 May →
mirage	9–13	0.04	27%	4 May →
anubis	7–13	0.03	19%	2 May →
mirage	5–13	0.02	31%	2 May →
nuke	13–11	0.06	16%	2 May →
cache	9–13	0.09	18%	2 May →
cache	13–1	0.03	26%	2 May →
cache	13–7	0.06	18%	29 Apr →
cache	11–13	0.03	26%	29 Apr →
inferno	2–13	0.01	37%	23 Apr →
nuke	15–15	0.01	19%	23 Apr →
nuke	13–3	0.11	35%	23 Apr →
inferno	6–13	-0.04	21%	23 Apr →
ancient	8–13	-0.07	11%	23 Apr →
mirage	3–13	-0.08	15%	20 Apr →
dust2	9–0	-0.03	10%	20 Apr →
nuke	16–13	-0.02	15%	14 Apr →
mirage	10–13	-0.01	18%	14 Apr →
mirage	13–10	0.07	25%	14 Apr →
inferno	5–12	0.04	24%	14 Apr →
dust2	8–13	0.09	13%	13 Apr →
mirage	13–2	0.08	63%	8 Apr →
mirage	9–13	0.07	32%	8 Apr →
mirage	16–12	0.06	24%	6 Apr →
nuke	4–13	-0.07	17%	1 Apr →
overpass	9–13	0.06	16%	1 Apr →
inferno	15–15	0.05	21%	1 Apr →
inferno	13–10	0.08	15%	1 Apr →
inferno	13–11	0.09	19%	1 Apr →
nuke	11–13	0.05	18%	31 Mar →
dust2	13–4	0.01	14%	31 Mar →
dust2	13–10	0.01	23%	31 Mar →
nuke	13–8	0.04	29%	24 Mar →
mirage	13–9	-0.00	15%	24 Mar →
overpass	13–0	0.09	14%	24 Mar →
mirage	13–6	-0.00	28%	24 Mar →
mirage	13–7	0.06	23%	23 Mar →
inferno	7–13	0.01	20%	23 Mar →
mirage	7–13	-0.01	15%	20 Mar →
inferno	13–9	0.02	21%	20 Mar →
mirage	5–13	-0.05	12%	11 Mar →
inferno	13–7	0.04	18%	11 Mar →
anubis	10–13	0.00	32%	11 Mar →
mirage	13–3	0.01	24%	10 Mar →
nuke	8–13	0.05	22%	10 Mar →
mirage	4–13	0.02	25%	6 Mar →
mirage	13–9	0.01	21%	3 Mar →
mirage	15–15	0.02	21%	3 Mar →
overpass	10–13	0.05	24%	3 Mar →
nuke	6–13	-0.05	24%	3 Mar →
nuke	13–6	0.03	15%	25 Feb →