Vincent.Rots — CS2 Stats

76561198968521644[U:1:1008255916]

633Tracked matches43%Win rate2023Tracked since

CSDB Rating5.4 DevelopingPassive Rifler

Premier CS Rating20,364Pink band · top ~8.1% of ranked players (population est.)

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning41

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLWLWLLWWLL

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

Player DNA

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

Aim7.6

Aggression2.8

Utility4.1

Positioning4.1

Opening Duels0.0

Excellent counter-strafingLimited utility dependence

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 80% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; lower 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

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 686ms 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

Aim7.6

Positioning4.1

Utility4.1

Mechanics8.8

Opening Duels0.3

Win Impact2.6

Composite 5.4/10 (Developing), 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 rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time678ms+7ms

first ⅓ avg 671ms → last ⅓ avg 678ms

Headshot accuracy22.1%+1.8%

first ⅓ avg 20.3% → last ⅓ avg 22.1%

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 — dust2 13–4

13–1Biggest win — cache

8Longest win streak

8–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 67% over 15anubisWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	17	10–7	59%	-0.01
inferno	B	15	8–7	53%	0.01
cache	S	15	10–5	67%	0.02
anubis	D	12	4–8	33%	-0.00
nuke	B	11	5–6	45%	-0.01
dust2	A	11	6–5	55%	-0.01
ancient	C	9	4–5	44%	0.01
office	—	4	1–3	25%	-0.05
overpass	—	3	1–2	33%	-0.01
vertigo	—	2	0–2	0%	0.01
train	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

23Matches

35%Win rate

0.86Avg K/D

—ADR

55%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	4	50%	1.10	18.5
Inferno	2	0%	0.74	11.5
Vertigo	2	0%	0.70	10.5
Ancient	1	100%	1.67	25.0
Mirage	1	0%	0.89	16.0

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.

22.3%Headshot accuracy

36.1%Accuracy (enemy spotted)

39.4%Spray accuracy

89.5%Counter-strafing

10.0°Preaim

686msReaction time

19.6%T opening success

32.1%CT opening success

0.47Enemies flashed / flash

9.3%Flash assists

7.69HE damage / grenade

3.93Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4726 — below the 0.5 mark we flag
Grenade Lineups →
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 19.6157% — below the 40% mark we flag

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.

33% win rate across 12 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
inferno	8–13	-0.04	13%	25 Aug →
inferno	7–1	-0.05	42%	25 Aug →
nuke	3–13	-0.05	20%	24 Aug →
cache	13–6	-0.01	9%	24 Aug →
anubis	11–13	-0.07	13%	23 Aug →
mirage	7–13	-0.02	13%	23 Aug →
cache	13–10	-0.02	21%	23 Aug →
anubis	13–8	0.06	15%	23 Aug →
nuke	4–13	-0.02	31%	22 Aug →
office	4–13	0.01	45%	21 Aug →
overpass	12–12	0.03	28%	21 Aug →
dust2	13–10	0.01	21%	21 Aug →
cache	13–5	0.12	25%	21 Aug →
inferno	8–13	-0.04	24%	21 Aug →
inferno	5–13	-0.07	18%	8 Aug →
ancient	7–13	-0.05	17%	8 Aug →
mirage	11–13	-0.01	21%	8 Aug →
ancient	13–2	0.06	16%	8 Aug →
cache	13–9	-0.04	24%	8 Aug →
dust2	4–13	-0.06	19%	8 Aug →
ancient	7–13	0.03	33%	7 Aug →
nuke	11–13	-0.00	24%	6 Aug →
inferno	4–13	0.03	24%	6 Aug →
cache	8–13	-0.05	17%	6 Aug →
anubis	15–15	-0.02	21%	5 Aug →
cache	13–9	0.04	23%	5 Aug →
cache	13–6	0.05	33%	30 Jul →
dust2	13–2	0.01	16%	30 Jul →
cache	4–13	-0.01	25%	27 Jul →
dust2	13–4	0.15	35%	27 Jul →
anubis	13–8	0.05	19%	25 Jul →
dust2	13–7	0.01	16%	25 Jul →
cache	16–12	0.03	9%	25 Jul →
mirage	13–11	-0.02	27%	25 Jul →
nuke	13–4	0.02	20%	24 Jul →
vertigo	11–13	-0.00	10%	24 Jul →
inferno	13–10	0.01	34%	24 Jul →
office	13–5	0.00	23%	24 Jul →
nuke	4–13	-0.03	42%	22 Jul →
cache	5–11	-0.03	7%	8 Jul →
mirage	13–5	-0.00	40%	8 Jul →
nuke	13–7	-0.05	32%	8 Jul →
inferno	11–13	0.04	26%	8 Jul →
cache	13–1	0.06	29%	8 Jul →
office	5–13	-0.15	40%	8 Jul →
train	7–13	-0.04	12%	3 Jul →
mirage	13–10	0.03	29%	3 Jul →
mirage	13–10	-0.02	18%	30 Jun →
mirage	8–13	0.02	11%	30 Jun →
anubis	13–4	0.03	11%	30 Jun →
inferno	9–13	0.00	14%	30 Jun →
ancient	6–13	-0.05	19%	30 Jun →
ancient	8–13	0.01	12%	30 Jun →
mirage	13–10	0.02	13%	30 Jun →
nuke	13–7	0.00	24%	30 Jun →
nuke	14–16	0.00	16%	30 Jun →
ancient	13–11	0.03	21%	30 Jun →
anubis	9–13	-0.06	19%	29 Jun →
ancient	13–11	0.09	24%	29 Jun →
mirage	16–12	0.01	25%	28 Jun →
dust2	9–13	-0.07	16%	28 Jun →
cache	8–13	-0.01	15%	28 Jun →
office	11–13	-0.06	37%	28 Jun →
mirage	6–13	0.01	28%	28 Jun →
anubis	6–13	0.05	22%	25 Jun →
ancient	13–9	-0.00	35%	25 Jun →
nuke	16–14	-0.05	16%	25 Jun →
nuke	13–7	0.01	16%	25 Jun →
inferno	13–6	-0.01	26%	24 Jun →
inferno	13–5	0.03	24%	24 Jun →
dust2	13–9	0.01	34%	24 Jun →
inferno	13–7	0.10	48%	23 Jun →
mirage	13–10	0.08	23%	23 Jun →
mirage	9–13	-0.02	25%	14 Jun →
overpass	13–10	-0.02	20%	9 Jun →
anubis	13–11	0.01	15%	6 Jun →
anubis	4–13	-0.05	14%	5 Jun →
vertigo	7–13	0.03	35%	5 Jun →
anubis	8–13	0.06	17%	5 Jun →
inferno	16–12	0.04	19%	5 Jun →
dust2	15–15	0.02	25%	2 Jun →
anubis	2–13	-0.05	32%	1 Jun →
mirage	13–6	0.00	16%	20 May →
inferno	11–13	-0.01	15%	13 May →
dust2	9–13	0.00	31%	11 May →
nuke	10–13	0.03	36%	11 May →
inferno	13–10	0.10	15%	11 May →
cache	7–13	-0.00	16%	8 May →
overpass	14–16	-0.03	15%	7 May →
inferno	13–8	0.03	25%	7 May →
mirage	16–14	-0.03	16%	7 May →
dust2	13–7	-0.06	15%	6 May →
ancient	7–13	-0.05	12%	6 May →
cache	13–11	0.09	13%	6 May →
cache	13–11	0.04	17%	6 May →
anubis	10–13	-0.02	11%	6 May →
mirage	3–13	-0.09	14%	5 May →
dust2	3–13	-0.09	14%	4 May →
mirage	16–13	0.01	13%	4 May →
mirage	9–13	-0.07	5%	4 May →