Vynn — CS2 Stats

US76561198061748123[U:1:101482395]Steam profile ↗

1,609Tracked matches43%Win rate2023Tracked since

CSDB Rating4.2 Developing

Premier CS Rating14,268Blue band · top ~32.3% of ranked players (population est.)

CSDB Leaderboard#24960 of 39173 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim45

Positioning53

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateLLWWLWLTLW

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

Player DNA

Aim4.5

Aggression5.9

Utility4.5

Positioning5.3

Opening Duels1.9

Clutch5.8

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 NiKo 82% playstyle similarity

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

Where you differ: lower utility contribution; 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

Areas to improve

T-side openings. Opening success drops from 51% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 614ms 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

Aim4.5

Positioning5.3

Utility4.5

Mechanics5.3

Opening Duels2.6

Win Impact2.6

Composite 4.2/10 (Developing), 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 rating-0.02−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time619ms+8ms

first ⅓ avg 612ms → last ⅓ avg 619ms

Headshot accuracy15.6%−1.7%

first ⅓ avg 17.4% → last ⅓ avg 15.6%

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 — ancient 13–5

13–2Biggest win — ancient

4Longest win streak

L2Current streak

8–11In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 59% over 22mirageWeakest map · 18% over 11

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	22	13–9	59%	0.01
inferno	B	22	10–12	45%	0.00
cache	B	19	9–10	47%	-0.00
anubis	C	16	6–10	38%	-0.01
mirage	D	11	2–9	18%	-0.02
nuke	A	7	4–3	57%	0.03
dust2	—	3	1–2	33%	0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

128Matches

49%Win rate

0.98Avg K/D

79.8ADR

43%Headshot %

Clutches & streaks

49%1v1 clutch win

23%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	33	55%	0.91	13.6
Inferno	20	55%	0.89	14.4
Nuke	19	42%	0.92	14.8
Dust2	18	50%	0.94	15.7
Ancient	18	39%	0.98	14.1
Vertigo	7	57%	1.36	15.7
Anubis	6	50%	1.20	15.2
Train	5	60%	1.40	18.8

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.

15.3%Headshot accuracy

31.6%Accuracy (enemy spotted)

34.6%Spray accuracy

73.7%Counter-strafing

12.1°Preaim

614msReaction time

24.8%T opening success

50.7%CT opening success

0.56Enemies flashed / flash

11.3%Flash assists

9.04HE damage / grenade

1.89Flashes / 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 12.1138° — above the 12° mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.8933 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	5–13	-0.04	24%	8 Aug →
inferno	10–13	0.02	13%	8 Aug →
anubis	13–11	-0.05	9%	7 Aug →
inferno	13–9	0.02	16%	7 Aug →
anubis	11–13	-0.06	13%	7 Aug →
ancient	13–11	-0.01	13%	5 Aug →
cache	4–13	-0.07	18%	5 Aug →
inferno	15–15	-0.06	13%	5 Aug →
ancient	11–13	-0.01	13%	5 Aug →
ancient	13–9	0.02	11%	4 Aug →
anubis	13–9	0.07	21%	4 Aug →
inferno	10–13	0.00	19%	27 Jul →
cache	9–13	0.00	14%	27 Jul →
anubis	3–13	-0.07	3%	27 Jul →
anubis	7–13	-0.01	7%	27 Jul →
cache	13–6	-0.04	16%	27 Jul →
nuke	11–13	0.02	23%	24 Jul →
inferno	16–14	-0.08	11%	24 Jul →
mirage	5–13	-0.03	20%	24 Jul →
ancient	13–8	0.02	13%	24 Jul →
mirage	15–15	-0.04	15%	24 Jul →
ancient	13–2	0.04	16%	24 Jul →
dust2	5–13	-0.07	11%	24 Jul →
anubis	10–13	-0.06	12%	24 Jul →
inferno	13–11	-0.02	17%	24 Jul →
cache	13–3	-0.03	35%	24 Jul →
mirage	11–13	0.01	21%	24 Jul →
inferno	6–13	-0.04	19%	22 Jul →
ancient	13–7	-0.06	12%	22 Jul →
anubis	11–13	-0.00	17%	21 Jul →
mirage	1–13	-0.08	31%	21 Jul →
inferno	13–2	0.04	9%	21 Jul →
nuke	13–7	0.01	12%	21 Jul →
nuke	7–13	0.06	21%	21 Jul →
mirage	13–7	-0.03	26%	21 Jul →
cache	6–13	-0.04	16%	20 Jul →
ancient	13–11	0.04	20%	20 Jul →
nuke	13–3	0.05	25%	20 Jul →
anubis	11–13	0.02	29%	20 Jul →
ancient	13–6	0.00	17%	19 Jul →
inferno	13–8	0.07	15%	19 Jul →
cache	13–16	0.01	7%	19 Jul →
nuke	13–2	0.12	13%	19 Jul →
inferno	16–13	0.10	12%	19 Jul →
mirage	11–13	-0.00	10%	19 Jul →
cache	13–9	0.11	11%	19 Jul →
mirage	3–13	-0.06	13%	19 Jul →
ancient	13–7	0.12	15%	19 Jul →
mirage	7–13	0.02	19%	17 Jul →
ancient	11–13	0.04	12%	17 Jul →
ancient	13–5	0.17	14%	17 Jul →
mirage	13–6	0.01	9%	17 Jul →
mirage	11–13	-0.00	19%	17 Jul →
anubis	13–3	0.00	7%	17 Jul →
inferno	6–13	-0.11	8%	16 Jul →
cache	6–10	-0.04	32%	16 Jul →
ancient	16–13	-0.04	12%	16 Jul →
inferno	9–13	-0.06	23%	16 Jul →
cache	13–8	-0.01	14%	16 Jul →
cache	13–4	0.05	20%	16 Jul →
anubis	13–10	-0.00	22%	16 Jul →
inferno	13–8	0.04	28%	16 Jul →
ancient	6–13	-0.08	16%	15 Jul →
nuke	7–13	-0.07	31%	15 Jul →
anubis	8–13	-0.05	10%	15 Jul →
anubis	13–8	0.02	12%	14 Jul →
ancient	13–11	-0.02	13%	14 Jul →
ancient	16–14	0.07	11%	14 Jul →
cache	15–15	-0.02	23%	14 Jul →
anubis	7–13	-0.04	26%	13 Jul →
nuke	13–7	-0.01	16%	13 Jul →
ancient	8–13	-0.00	18%	13 Jul →
dust2	13–7	0.07	25%	13 Jul →
inferno	8–13	0.04	12%	13 Jul →
inferno	7–13	-0.04	23%	13 Jul →
cache	13–10	0.07	11%	13 Jul →
cache	4–13	-0.00	23%	13 Jul →
ancient	14–16	0.09	15%	13 Jul →
cache	13–7	0.01	18%	12 Jul →
anubis	13–9	0.06	20%	12 Jul →
dust2	6–13	0.01	13%	12 Jul →
ancient	8–13	0.02	15%	12 Jul →
anubis	10–13	0.04	17%	12 Jul →
ancient	2–13	-0.02	21%	11 Jul →
cache	13–11	0.01	12%	11 Jul →
inferno	13–5	0.09	25%	11 Jul →
inferno	10–13	0.04	26%	11 Jul →
cache	11–13	-0.01	20%	11 Jul →
anubis	12–16	-0.04	7%	11 Jul →
cache	13–7	0.01	24%	11 Jul →
ancient	2–13	-0.03	9%	11 Jul →
inferno	13–6	0.00	14%	11 Jul →
ancient	13–4	0.00	15%	11 Jul →
inferno	10–13	-0.03	10%	11 Jul →
mirage	9–13	-0.02	15%	11 Jul →
inferno	13–8	-0.04	12%	11 Jul →
cache	9–13	0.04	22%	11 Jul →
cache	1–13	-0.09	14%	11 Jul →
inferno	10–13	0.03	18%	11 Jul →
inferno	9–13	0.02	20%	10 Jul →