✪ rysK — CS2 Stats

BR76561198044336117[U:1:84070389]Steam profile ↗✓ No bans

1,778Tracked matches40%Win rate2020Tracked since

CSDB Rating6.4 SolidSupport

Premier CS Rating23,913Top 25% of 44,590 CSDB-tracked playersPink band · top ~4.2% of ranked players (population est.)

CSDB Leaderboard#9731 of 56986 tracked

FaceitLevel 9 · 1,769 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim83

Positioning56

Utility82

0–100 skill scores via Leetify.

Recent form

STEADY46–54Last 10046%Win rateWLWWLLLWLL

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

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim8.3

Aggression4.7

Utility8.2

Positioning5.6

Opening Duels1.5

Clutch2.6

Strong CT-side openerEffective flashesHigh utility contribution

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 Twistzz 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-fight frequency.

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

Flashes. 0.84 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 82 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 50% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms 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

Aim8.3

Positioning5.6

Utility8.2

Mechanics7.0

Opening Duels2.4

Win Impact1.7

Composite 6.4/10 (Solid), 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 time566ms+1ms

first ⅓ avg 564ms → last ⅓ avg 566ms

Headshot accuracy23.9%−1.8%

first ⅓ avg 25.6% → last ⅓ avg 23.9%

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

0.14Best rating — anubis 16–14

13–2Biggest win — cache

4Longest win streak

10–11In matches decided by ≤2 rounds

14Overtime games

Map breakdown

cacheBest map · 63% over 24infernoWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	24	15–9	63%	0.01
anubis	B	19	10–9	53%	-0.00
ancient	C	16	6–10	38%	0.00
dust2	C	14	6–8	43%	0.01
mirage	C	10	4–6	40%	0.00
inferno	D	10	2–8	20%	-0.00
overpass	C	7	3–4	43%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

155Matches

61%Win rate

1.50Avg K/D

82.2ADR

42%Headshot %

Clutches & streaks

33%1v1 clutch win

29%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	8	62%	1.90	21.4
Ancient	6	83%	1.10	16.8
Anubis	6	17%	0.94	15.5
Dust2	6	67%	1.18	15.8
Inferno	4	75%	1.25	13.5
Vertigo	1	0%	0.57	12.0
Overpass	1	100%	1.08	14.0

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.

24.1%Headshot accuracy

34.7%Accuracy (enemy spotted)

35.1%Spray accuracy

81.7%Counter-strafing

7.6°Preaim

571msReaction time

22.1%T opening success

49.6%CT opening success

0.84Enemies flashed / flash

13.5%Flash assists

10.51HE damage / grenade

15.84Flashes / 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 22.0637% — below the 40% mark we flag

Spend your practice time on Inferno

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	-0.01	45%	31 Aug →
dust2	11–13	-0.03	22%	31 Aug →
cache	16–12	0.01	26%	31 Aug →
cache	13–11	0.04	20%	31 Aug →
mirage	5–13	-0.05	6%	30 Aug →
anubis	9–13	-0.06	35%	30 Aug →
inferno	9–13	-0.02	26%	30 Aug →
ancient	16–14	0.07	20%	30 Aug →
cache	8–13	-0.02	19%	30 Aug →
anubis	9–13	-0.03	26%	30 Aug →
ancient	6–13	-0.04	20%	30 Aug →
cache	13–9	0.08	29%	29 Aug →
ancient	7–13	-0.02	20%	29 Aug →
inferno	4–13	-0.06	37%	29 Aug →
cache	2–13	-0.03	22%	29 Aug →
cache	6–13	0.03	21%	29 Aug →
overpass	13–9	-0.01	24%	29 Aug →
dust2	13–5	0.05	30%	29 Aug →
inferno	11–13	-0.01	14%	29 Aug →
dust2	14–16	-0.01	20%	28 Aug →
anubis	11–13	-0.05	15%	28 Aug →
cache	13–9	0.05	33%	28 Aug →
dust2	13–6	0.09	47%	28 Aug →
mirage	13–11	0.04	35%	28 Aug →
inferno	5–13	0.03	17%	28 Aug →
cache	9–13	-0.03	14%	27 Aug →
dust2	11–13	0.01	23%	27 Aug →
cache	13–8	0.10	21%	27 Aug →
overpass	13–7	0.06	21%	27 Aug →
ancient	3–13	-0.03	14%	27 Aug →
cache	13–2	-0.01	20%	27 Aug →
mirage	5–13	-0.03	14%	27 Aug →
ancient	7–13	-0.03	32%	27 Aug →
cache	13–10	0.09	33%	27 Aug →
dust2	11–13	0.03	26%	27 Aug →
anubis	17–19	-0.03	14%	27 Aug →
inferno	11–13	0.00	23%	26 Aug →
cache	15–19	-0.02	27%	26 Aug →
anubis	13–4	-0.01	9%	26 Aug →
cache	10–13	0.00	16%	26 Aug →
inferno	13–16	0.00	27%	25 Aug →
ancient	13–10	0.04	30%	25 Aug →
anubis	13–11	-0.00	22%	25 Aug →
ancient	6–13	-0.06	27%	25 Aug →
anubis	13–8	0.07	16%	24 Aug →
dust2	9–13	-0.03	16%	24 Aug →
ancient	11–13	0.01	29%	24 Aug →
anubis	11–13	-0.03	13%	24 Aug →
cache	13–9	0.03	18%	23 Aug →
anubis	13–9	0.01	44%	23 Aug →
anubis	13–10	0.01	22%	23 Aug →
cache	12–16	-0.02	20%	22 Aug →
dust2	13–5	0.00	18%	22 Aug →
ancient	13–8	0.02	27%	22 Aug →
mirage	9–13	0.02	33%	22 Aug →
cache	7–13	-0.03	20%	22 Aug →
ancient	8–13	-0.00	19%	22 Aug →
mirage	25–22	0.00	24%	22 Aug →
cache	13–7	-0.00	14%	22 Aug →
dust2	3–13	-0.04	25%	22 Aug →
dust2	10–13	0.01	19%	21 Aug →
ancient	13–5	0.00	30%	21 Aug →
anubis	16–14	0.14	27%	21 Aug →
ancient	13–10	-0.00	20%	20 Aug →
inferno	6–13	-0.03	32%	20 Aug →
cache	13–6	0.02	23%	20 Aug →
overpass	8–13	0.01	17%	18 Aug →
anubis	10–13	-0.05	30%	18 Aug →
cache	13–6	-0.02	33%	18 Aug →
anubis	6–13	-0.03	21%	18 Aug →
dust2	6–13	-0.03	16%	18 Aug →
cache	13–6	0.05	58%	18 Aug →
cache	13–9	0.02	19%	17 Aug →
mirage	13–5	0.02	24%	17 Aug →
dust2	22–18	0.01	25%	16 Aug →
overpass	12–16	0.00	26%	16 Aug →
inferno	6–13	0.03	31%	16 Aug →
mirage	13–11	0.02	22%	16 Aug →
ancient	7–13	0.04	32%	16 Aug →
anubis	13–11	0.04	27%	15 Aug →
ancient	11–13	-0.01	14%	15 Aug →
ancient	13–16	0.01	22%	14 Aug →
mirage	9–13	0.01	16%	14 Aug →
anubis	10–13	0.03	30%	14 Aug →
inferno	13–6	-0.03	22%	14 Aug →
anubis	16–13	-0.01	27%	13 Aug →
ancient	13–10	0.04	33%	13 Aug →
overpass	4–13	-0.01	30%	13 Aug →
mirage	9–13	0.02	18%	13 Aug →
anubis	13–11	-0.03	23%	13 Aug →
inferno	13–6	0.04	15%	13 Aug →
cache	8–13	-0.03	24%	13 Aug →
dust2	13–7	0.04	26%	12 Aug →
overpass	3–13	0.00	40%	12 Aug →
cache	13–10	0.04	26%	12 Aug →
overpass	16–14	0.03	25%	12 Aug →
anubis	13–7	-0.02	23%	10 Aug →
cache	13–7	-0.01	32%	10 Aug →
mirage	5–13	-0.05	17%	10 Aug →
anubis	8–13	-0.02	19%	10 Aug →