Vins- — CS2 Stats

FR76561197974840476[U:1:14574748]Steam profile ↗1 game ban

2,040Tracked matches68%Win rate2024Tracked since

2,966Hours in CS

CSDB Rating6.0 SolidHybrid Rifler

Premier CS Rating19,336Purple band · top ~11.1% of ranked players (population est.)

CSDB Leaderboard#23074 of 54634 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanThe Global Elite

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	39.4%	51.9%
Shot accuracy	14.1%	13.7%
Kill/death ratio	0.84	1.08
Match win rate	46.7%	48.7%

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Performance scores

Aim60

Positioning52

Utility74

0–100 skill scores via Leetify.

Recent form

HOT51–37–12Last 10051%Win rateWWWWWTWWLW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.0

Aggression9.0

Utility7.4

Positioning5.2

Opening Duels4.5

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 device 87% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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. 60% 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 60% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 612ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.0

Positioning5.2

Utility7.4

Mechanics4.3

Opening Duels4.5

Win Impact10.0

Composite 6.0/10 (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 rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time589ms−63ms

first ⅓ avg 652ms → last ⅓ avg 589ms

Headshot accuracy12.0%−7.6%

first ⅓ avg 19.6% → last ⅓ avg 12.0%

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

0.11Best rating — dust2 13–6

13–0Biggest win — dust2

5Longest win streak

W5Current streak

5–11In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 83% over 12anubisWeakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	48	21–27	44%	-0.01
inferno	S	14	11–3	79%	0.01
anubis	D	13	3–10	23%	-0.03
cache	S	12	10–2	83%	0.00
nuke	B	8	4–4	50%	-0.02
mirage	—	4	2–2	50%	-0.03
overpass	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

125,263Lifetime kills

0.84K/D

5,653Matches

46.7%Match win rate

39.4%Headshot %

14.1%Shot accuracy · Top 50% of Level 10 players

20,531MVPs

2,966Hours (in match)

7,043Bombs planted

928Bombs defused

Most-used weapons

AK-4734,907

AWP23,735

M4A4 / M4A1-S23,158

P2000 / USP-S4,355

Five-SeveN4,321

Tec-94,111

P2503,657

MP93,350

MAC-103,059

Glock-182,961

Lifetime map wins

10,953dust2

9,227inferno

2,886cbble

2,253nuke

1,474train

298vertigo

154office

133italy

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.

12.5%Headshot accuracy

40.6%Accuracy (enemy spotted)

46.8%Spray accuracy

69.5%Counter-strafing

12.7°Preaim

612msReaction time

35.7%T opening success

60.1%CT opening success

0.57Enemies flashed / flash

7.5%Flash assists

10.70HE damage / grenade

28.23Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.7257° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.4573% — below the 15% mark we flag
Aim Training →

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.

23% win rate across 13 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
dust2	13–11	-0.02	15%	30 Aug →
dust2	13–3	-0.00	24%	30 Aug →
cache	13–7	0.05	8%	30 Aug →
cache	13–8	-0.01	14%	30 Aug →
dust2	13–0	0.03	0%	30 Aug →
anubis	15–15	0.04	18%	30 Aug →
inferno	13–7	0.07	15%	30 Aug →
dust2	13–8	-0.00	7%	29 Aug →
dust2	10–13	0.05	21%	29 Aug →
dust2	13–9	0.10	19%	29 Aug →
anubis	11–13	0.00	22%	29 Aug →
nuke	13–7	0.02	10%	28 Aug →
cache	4–13	-0.01	5%	24 Aug →
nuke	13–10	-0.09	16%	24 Aug →
nuke	11–13	0.05	14%	16 Aug →
inferno	13–9	0.01	9%	13 Aug →
nuke	7–13	-0.09	6%	11 Aug →
mirage	13–0	-0.01	8%	11 Aug →
cache	13–5	0.02	8%	9 Aug →
anubis	13–10	-0.02	5%	9 Aug →
dust2	13–7	-0.02	10%	1 Aug →
dust2	15–15	-0.02	15%	31 Jul →
nuke	1–8	0.00	13%	31 Jul →
anubis	6–13	-0.09	9%	31 Jul →
cache	13–8	0.05	14%	31 Jul →
dust2	0–2	-0.22	0%	27 Jul →
dust2	16–14	-0.02	5%	26 Jul →
cache	13–7	0.04	14%	17 Jul →
inferno	9–13	-0.01	11%	17 Jul →
dust2	13–6	0.06	18%	17 Jul →
anubis	7–13	-0.02	14%	14 Jul →
dust2	2–13	-0.06	16%	14 Jul →
anubis	10–13	-0.04	13%	9 Jul →
inferno	13–3	-0.00	12%	9 Jul →
dust2	13–9	-0.00	25%	9 Jul →
dust2	13–5	-0.05	16%	6 Jul →
dust2	11–13	-0.04	20%	6 Jul →
dust2	15–15	-0.03	16%	6 Jul →
dust2	11–13	-0.00	24%	5 Jul →
dust2	12–12	0.01	15%	3 Jul →
inferno	12–4	-0.01	23%	3 Jul →
nuke	5–13	-0.09	13%	3 Jul →
dust2	5–13	-0.10	15%	3 Jul →
anubis	9–11	0.03	24%	2 Jul →
dust2	13–5	-0.03	22%	2 Jul →
dust2	13–8	-0.01	18%	28 Jun →
mirage	6–6	0.04	11%	28 Jun →
cache	13–3	0.01	8%	28 Jun →
dust2	0–5	-0.12	0%	27 Jun →
dust2	12–12	-0.03	5%	27 Jun →
nuke	13–4	-0.01	12%	27 Jun →
dust2	13–9	0.07	9%	25 Jun →
mirage	0–13	-0.07	8%	25 Jun →
anubis	12–12	0.00	6%	24 Jun →
cache	7–11	-0.04	12%	24 Jun →
dust2	11–13	-0.01	19%	24 Jun →
dust2	13–10	0.00	14%	22 Jun →
inferno	13–7	0.01	19%	22 Jun →
cache	13–10	-0.02	16%	22 Jun →
inferno	13–11	0.05	18%	22 Jun →
dust2	12–12	-0.07	11%	22 Jun →
dust2	14–16	-0.04	17%	21 Jun →
dust2	8–13	-0.06	9%	19 Jun →
dust2	12–12	-0.01	13%	16 Jun →
inferno	13–6	-0.01	18%	16 Jun →
dust2	13–6	0.01	24%	16 Jun →
dust2	11–13	-0.05	11%	12 Jun →
anubis	13–9	-0.05	16%	12 Jun →
dust2	13–4	0.05	15%	10 Jun →
dust2	0–3	0.05	30%	10 Jun →
anubis	12–12	0.02	9%	10 Jun →
inferno	13–1	0.02	24%	10 Jun →
overpass	11–13	0.03	28%	10 Jun →
dust2	13–10	0.03	24%	9 Jun →
dust2	8–13	-0.05	12%	9 Jun →
dust2	3–13	0.02	22%	9 Jun →
cache	8–12	-0.00	9%	8 Jun →
nuke	13–0	0.02	42%	8 Jun →
cache	5–0	0.00	100%	8 Jun →
inferno	3–13	-0.04	7%	8 Jun →
anubis	13–7	-0.04	14%	7 Jun →
inferno	13–11	-0.01	14%	7 Jun →
dust2	6–13	0.00	18%	7 Jun →
cache	13–10	-0.03	21%	3 Jun →
dust2	13–2	0.03	11%	3 Jun →
inferno	13–6	0.01	19%	1 Jun →
dust2	12–12	-0.01	11%	1 Jun →
dust2	13–10	0.05	8%	1 Jun →
dust2	2–3	0.02	27%	31 May →
dust2	7–13	-0.01	12%	31 May →
dust2	8–13	-0.03	4%	31 May →
inferno	12–12	0.03	15%	31 May →
dust2	13–6	0.05	9%	28 May →
anubis	12–12	-0.07	10%	28 May →
dust2	8–13	0.01	21%	27 May →
dust2	8–13	0.00	25%	26 May →
inferno	13–10	-0.03	16%	26 May →
dust2	13–6	0.11	17%	25 May →
mirage	3–13	-0.08	19%	24 May →
anubis	5–13	-0.13	20%	23 May →