vin3 — CS2 Stats

US76561197975639841[U:1:15374113]Steam profile ↗✓ No bans

3,345Tracked matches60%Win rate2020Tracked since

CSDB Rating7.3 StrongAggressive Rifler

FaceitLevel 10 · 3,370 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning72

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY56–43–1Last 10056%Win rateLLLLLLWWWW

Last 10 vs previous 10: -20pp win rate · +0.03 avg rating

Player DNA

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

Aim7.7

Aggression10.0

Utility6.4

Positioning7.2

Opening Duels5.2

Clutch4.2

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 sh1ro 95% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 62% 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 62% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 561ms 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

Aim7.7

Positioning7.2

Utility6.4

Mechanics5.9

Opening Duels5.2

Win Impact8.3

Composite 7.3/10 (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+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time577ms+62ms

first ⅓ avg 515ms → last ⅓ avg 577ms

Headshot accuracy19.2%+1.0%

first ⅓ avg 18.2% → last ⅓ avg 19.2%

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

0.21Best rating — anubis 13–10

13–2Biggest win — ancient

7Longest win streak

L6Current streak

8–3In matches decided by ≤2 rounds

12Overtime games

Map breakdown

mirageBest map · 70% over 27dust2Weakest map · 43% over 21

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	27	19–8	70%	0.03
dust2	C	21	9–12	43%	0.02
anubis	A	20	11–9	55%	0.04
ancient	A	15	9–6	60%	0.02
overpass	S	6	4–2	67%	0.08
cache	—	4	1–3	25%	-0.03
inferno	—	4	2–2	50%	0.01
vertigo	—	1	1–0	100%	0.02
nuke	—	1	0–1	0%	-0.03
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,011Matches

55%Win rate

1.22Avg K/D

86.9ADR

45%Headshot %

Clutches & streaks

41%1v1 clutch win

24%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	424	53%	1.24	18.1
Dust2	372	62%	1.25	17.2
Ancient	330	46%	1.18	17.2
Anubis	266	56%	1.15	16.8
Overpass	75	60%	1.23	18.9
Nuke	74	51%	1.26	17.3
Inferno	74	54%	1.15	16.9
Vertigo	65	66%	1.25	17.9

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.

18.8%Headshot accuracy

39.4%Accuracy (enemy spotted)

40.3%Spray accuracy

76.5%Counter-strafing

10.6°Preaim

561msReaction time

39.4%T opening success

62.1%CT opening success

0.62Enemies flashed / flash

12.2%Flash assists

9.28HE damage / grenade

11.47Flashes / 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 39.4469% — below the 40% mark we flag

Spend your practice time on Dust 2

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

43% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	10–13	0.09	22%	25 Aug →
ancient	9–13	-0.05	23%	16 Aug →
mirage	11–13	0.06	19%	11 Aug →
anubis	8–13	-0.05	10%	10 Aug →
cache	7–13	0.02	32%	4 Aug →
anubis	9–13	0.04	25%	27 Jul →
anubis	13–10	0.02	11%	22 Jul →
anubis	13–4	0.20	17%	16 Jul →
ancient	13–2	0.09	14%	16 Jul →
ancient	19–17	-0.02	20%	15 Jul →
cache	3–13	-0.05	11%	12 Jul →
mirage	1–13	-0.03	10%	12 Jul →
ancient	13–9	0.05	24%	11 Jul →
mirage	9–13	0.01	11%	11 Jul →
anubis	13–5	0.00	13%	10 Jul →
inferno	13–3	0.04	18%	10 Jul →
cache	13–3	-0.04	11%	10 Jul →
mirage	13–9	0.09	17%	28 Jun →
mirage	0–3	0.06	20%	28 Jun →
anubis	13–8	-0.04	15%	28 Jun →
dust2	10–13	-0.01	17%	26 Jun →
dust2	13–11	0.04	21%	23 Jun →
overpass	13–10	-0.01	14%	22 Jun →
dust2	13–10	0.06	27%	20 Jun →
mirage	13–8	0.01	10%	13 Jun →
mirage	13–9	0.05	25%	10 Jun →
vertigo	13–11	0.02	36%	8 Jun →
dust2	9–13	0.05	22%	3 Jun →
inferno	13–10	0.02	14%	2 Jun →
mirage	13–10	0.09	21%	1 Jun →
overpass	16–12	0.09	28%	29 May →
dust2	13–5	0.11	28%	29 May →
anubis	13–10	0.21	28%	28 May →
anubis	4–0	0.08	17%	28 May →
anubis	13–8	0.17	20%	28 May →
dust2	5–13	-0.06	31%	27 May →
overpass	13–8	0.07	31%	27 May →
ancient	13–5	-0.01	20%	25 May →
mirage	4–13	-0.04	11%	23 May →
dust2	8–13	-0.05	16%	23 May →
mirage	13–16	-0.03	31%	22 May →
mirage	13–6	0.07	16%	22 May →
mirage	10–13	-0.04	13%	21 May →
anubis	7–13	-0.04	16%	21 May →
dust2	13–9	-0.02	24%	20 May →
ancient	9–13	-0.04	26%	19 May →
ancient	13–8	0.05	17%	19 May →
cache	8–13	-0.04	10%	10 May →
dust2	10–13	-0.01	19%	10 May →
ancient	13–6	0.04	8%	6 May →
anubis	5–13	0.02	26%	4 May →
mirage	16–13	0.09	11%	27 Apr →
anubis	8–13	-0.02	21%	23 Apr →
mirage	13–10	-0.01	18%	22 Apr →
overpass	13–5	0.18	24%	22 Apr →
dust2	13–8	0.13	21%	21 Apr →
mirage	13–10	0.20	15%	18 Apr →
mirage	13–11	0.04	17%	18 Apr →
anubis	16–13	0.00	20%	15 Apr →
mirage	13–11	-0.01	8%	2 Apr →
anubis	6–13	0.03	22%	2 Apr →
dust2	16–14	0.03	22%	24 Mar →
ancient	7–13	-0.02	18%	24 Mar →
mirage	13–6	0.03	16%	24 Mar →
inferno	4–13	0.01	20%	23 Mar →
anubis	16–12	0.04	14%	23 Mar →
dust2	6–13	-0.02	26%	23 Mar →
dust2	10–13	0.05	16%	19 Mar →
dust2	10–13	0.02	19%	17 Mar →
dust2	8–13	0.06	30%	17 Mar →
dust2	9–13	-0.01	23%	12 Mar →
overpass	12–12	0.14	18%	11 Mar →
mirage	16–13	-0.01	16%	8 Mar →
mirage	13–11	0.08	25%	4 Mar →
ancient	13–8	0.02	10%	27 Feb →
anubis	13–8	0.02	14%	23 Feb →
dust2	13–10	-0.00	19%	23 Feb →
anubis	6–13	-0.03	23%	23 Feb →
mirage	13–6	0.06	26%	12 Feb →
mirage	13–2	-0.03	11%	9 Feb →
nuke	13–16	-0.03	18%	9 Feb →
ancient	8–13	-0.04	22%	9 Feb →
inferno	4–13	-0.04	19%	9 Feb →
mirage	13–4	0.05	24%	7 Feb →
mirage	13–8	-0.02	22%	31 Jan →
dust2	16–19	-0.00	20%	29 Jan →
ancient	13–6	0.12	19%	27 Jan →
dust2	13–5	0.10	18%	26 Jan →
ancient	10–13	-0.02	20%	25 Jan →
dust2	16–12	0.05	16%	23 Jan →
dust2	1–13	-0.04	18%	12 Jan →
anubis	11–13	-0.00	4%	11 Jan →
anubis	13–9	0.04	18%	11 Jan →
ancient	13–6	0.07	18%	8 Jan →
train	7–13	-0.03	9%	4 Jan →
mirage	5–13	-0.02	14%	4 Jan →
mirage	16–14	0.04	18%	4 Jan →
mirage	13–10	0.08	18%	30 Dec →
ancient	0–2	-0.02	0%	28 Dec →
overpass	2–13	0.00	39%	25 Dec →