Ricolinobimsko — CS2 Stats

76561197985103175[U:1:24837447]Steam profile ↗✓ No bans

675Tracked matches59%Win rate2023Tracked since

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating18,225Purple band · top ~15.6% of ranked players (population est.)

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim74

Positioning54

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY49–45–6Last 10049%Win rateWLLWLLTLWW

Last 10 vs previous 10: -30pp win rate · +0.02 avg rating

Player DNA

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

Aim7.4

Aggression8.2

Utility5.4

Positioning5.4

Opening Duels3.1

Clutch6.0

Strong CT-side openerLimited 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 ropz 88% playstyle similarity

Most alike: utility contribution, 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

Areas to improve

T-side openings. Opening success drops from 53% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 603ms 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

Aim7.4

Positioning5.4

Utility5.4

Mechanics6.7

Opening Duels3.1

Win Impact8.1

Composite 6.2/10 (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-0.00−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time606ms−16ms

first ⅓ avg 622ms → last ⅓ avg 606ms

Headshot accuracy17.4%+1.3%

first ⅓ avg 16.1% → last ⅓ avg 17.4%

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

0.16Best rating — inferno 13–7

13–0Biggest win — nuke

6Longest win streak

9–10In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 78% over 9ancientWeakest map · 28% over 18

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	25	16–9	64%	-0.00
ancient	D	18	5–13	28%	-0.01
dust2	D	16	5–11	31%	-0.01
anubis	B	12	6–6	50%	-0.01
mirage	C	11	4–7	36%	0.01
nuke	S	9	7–2	78%	0.00
overpass	S	9	6–3	67%	-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

139Matches

50%Win rate

1.14Avg K/D

89.9ADR

38%Headshot %

Clutches & streaks

50%1v1 clutch win

25%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	40	42%	0.99	15.2
Ancient	37	54%	1.19	17.9
Vertigo	15	27%	0.96	16.0
Overpass	15	87%	1.69	21.3
Anubis	11	64%	1.21	17.2
Inferno	9	33%	1.01	16.8
Cache	3	100%	1.56	15.0
Nuke	2	50%	1.04	19.5

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.

16.8%Headshot accuracy

35.5%Accuracy (enemy spotted)

37.2%Spray accuracy

80.3%Counter-strafing

7.9°Preaim

603msReaction time

31.7%T opening success

53.1%CT opening success

0.68Enemies flashed / flash

7.0%Flash assists

11.67HE damage / grenade

3.85Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.8519 — below the 4 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 31.6869% — below the 40% mark we flag

Spend your practice time on Ancient

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

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–10	-0.00	14%	27 Jun →
mirage	10–13	0.02	13%	27 Jun →
anubis	0–5	0.04	44%	27 Jun →
mirage	13–1	0.05	9%	27 Jun →
mirage	5–13	-0.08	19%	21 Jun →
anubis	11–13	-0.05	10%	21 Jun →
inferno	15–15	-0.00	13%	19 Jun →
dust2	10–13	-0.06	6%	16 Jun →
nuke	13–11	0.05	28%	14 Jun →
inferno	13–9	0.03	13%	14 Jun →
dust2	13–4	0.02	18%	14 Jun →
inferno	13–5	0.04	22%	14 Jun →
inferno	9–13	-0.03	20%	12 Jun →
inferno	13–10	-0.04	19%	12 Jun →
overpass	13–8	0.03	10%	12 Jun →
nuke	8–13	-0.07	22%	9 Jun →
dust2	6–13	-0.06	22%	9 Jun →
inferno	13–11	-0.01	9%	9 Jun →
overpass	13–10	-0.03	18%	8 Jun →
nuke	13–6	-0.01	13%	8 Jun →
anubis	15–15	0.02	28%	5 Jun →
ancient	13–3	0.08	18%	5 Jun →
nuke	13–0	-0.01	23%	5 Jun →
nuke	13–7	0.05	24%	5 Jun →
mirage	15–15	0.00	20%	5 Jun →
inferno	9–13	-0.02	18%	5 Jun →
dust2	10–13	0.04	12%	4 Jun →
mirage	14–16	-0.06	17%	4 Jun →
inferno	16–13	-0.03	12%	4 Jun →
dust2	13–9	0.04	16%	4 Jun →
mirage	9–13	0.01	18%	3 Jun →
ancient	9–13	0.01	14%	3 Jun →
overpass	10–13	-0.09	15%	3 Jun →
anubis	13–3	0.04	14%	3 Jun →
mirage	4–13	0.02	18%	3 Jun →
mirage	13–11	0.01	9%	2 Jun →
inferno	8–13	-0.02	9%	2 Jun →
mirage	13–11	0.07	27%	29 May →
inferno	15–15	0.03	20%	29 May →
ancient	15–15	0.00	18%	25 May →
ancient	13–5	0.07	17%	25 May →
anubis	13–16	-0.01	14%	25 May →
inferno	13–4	-0.01	18%	24 May →
dust2	8–13	0.04	14%	24 May →
dust2	13–5	-0.05	18%	24 May →
dust2	9–13	-0.07	21%	23 May →
ancient	10–13	0.02	18%	23 May →
anubis	13–9	-0.01	16%	23 May →
ancient	10–13	-0.01	14%	23 May →
ancient	11–13	-0.05	9%	22 May →
overpass	9–13	0.02	18%	20 May →
ancient	11–13	-0.04	12%	20 May →
ancient	8–13	-0.07	18%	18 May →
inferno	11–13	-0.05	10%	18 May →
mirage	13–11	0.02	22%	17 May →
overpass	13–6	0.03	12%	17 May →
nuke	13–5	-0.05	23%	17 May →
inferno	13–11	0.03	13%	17 May →
ancient	7–13	-0.05	9%	17 May →
inferno	13–11	-0.01	7%	17 May →
dust2	9–13	-0.02	13%	17 May →
inferno	13–4	-0.03	23%	17 May →
nuke	5–7	-0.02	5%	17 May →
dust2	8–13	-0.02	31%	16 May →
inferno	13–4	-0.01	10%	16 May →
nuke	13–11	-0.00	19%	16 May →
overpass	13–10	-0.07	22%	16 May →
nuke	13–8	0.07	20%	16 May →
ancient	5–13	-0.03	15%	16 May →
anubis	13–8	-0.06	17%	15 May →
inferno	13–10	-0.04	16%	15 May →
ancient	13–11	0.05	18%	15 May →
dust2	13–4	0.08	17%	15 May →
overpass	13–9	0.08	22%	15 May →
inferno	13–7	0.16	23%	15 May →
overpass	7–13	0.01	9%	14 May →
inferno	13–10	-0.02	15%	14 May →
inferno	13–3	0.03	19%	14 May →
ancient	10–13	-0.04	9%	14 May →
overpass	13–5	0.01	31%	14 May →
dust2	8–13	-0.02	16%	14 May →
anubis	15–15	-0.01	13%	14 May →
ancient	13–4	0.05	12%	14 May →
mirage	11–13	0.04	17%	14 May →
anubis	9–13	-0.04	10%	13 May →
dust2	10–13	-0.03	15%	13 May →
dust2	12–16	-0.00	7%	10 May →
ancient	7–13	-0.03	20%	10 May →
inferno	12–16	-0.04	15%	10 May →
anubis	13–3	-0.00	20%	10 May →
anubis	13–6	0.01	26%	10 May →
inferno	11–13	-0.03	16%	6 May →
dust2	11–13	-0.03	19%	6 May →
inferno	13–7	-0.02	15%	6 May →
inferno	13–16	0.01	18%	5 May →
ancient	13–5	0.03	9%	5 May →
dust2	16–12	-0.03	24%	3 May →
ancient	3–13	-0.07	3%	3 May →
inferno	13–4	0.02	18%	3 May →
ancient	11–13	-0.04	13%	3 May →