Rønny-HS — CS2 Stats

CN76561197999478965[U:1:39213237]Steam profile ↗✓ No bans

976Tracked matches52%Win rate2021Tracked since

CSDB Rating5.4 DevelopingHybrid Rifler

Premier CS Rating21,963Top 50% of 29,473 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim68

Positioning42

Utility44

0–100 skill scores via Leetify.

Recent form

COLD51–46–3Last 10051%Win rateLWLWLLLLLW

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

Player DNA

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

Aim6.8

Aggression4.6

Utility4.4

Positioning4.2

Opening Duels2.0

Clutch5.2

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 83% playstyle similarity

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

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

Reaction time. 600ms 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

Aim6.8

Positioning4.2

Utility4.4

Mechanics6.6

Opening Duels2.0

Win Impact5.6

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 rating-0.02−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.02

Reaction time610ms−6ms

first ⅓ avg 616ms → last ⅓ avg 610ms

Headshot accuracy21.5%+1.0%

first ⅓ avg 20.4% → last ⅓ avg 21.5%

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

0.09Best rating — anubis 13–3

13–0Biggest win — inferno

10Longest win streak

12–6In matches decided by ≤2 rounds

11Overtime games

Map breakdown

anubisBest map · 78% over 18nukeWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	19	9–10	47%	-0.03
anubis	S	18	14–4	78%	0.01
inferno	B	15	7–8	47%	-0.02
mirage	C	12	5–7	42%	0.01
cache	S	11	8–3	73%	-0.02
nuke	D	9	2–7	22%	-0.04
dust2	C	8	3–5	38%	-0.01
overpass	C	8	3–5	38%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

510Matches

51%Win rate

0.98Avg K/D

78.2ADR

41%Headshot %

Clutches & streaks

46%1v1 clutch win

12%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	8	62%	1.07	15.3
Dust2	5	80%	1.10	15.8
Ancient	5	40%	1.02	16.8
Mirage	3	33%	0.70	9.3
Overpass	3	0%	0.69	11.3
Inferno	2	100%	0.70	10.5
Nuke	2	50%	1.17	13.5
Cache	1	100%	0.93	13.0

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.

20.2%Headshot accuracy

32.7%Accuracy (enemy spotted)

36.0%Spray accuracy

79.5%Counter-strafing

9.8°Preaim

600msReaction time

33.3%T opening success

42.7%CT opening success

0.41Enemies flashed / flash

6.5%Flash assists

6.64HE damage / grenade

7.08Flashes / 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 0.4066 — 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 33.2664% — below the 40% mark we flag

Spend your practice time on Nuke

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	8–13	0.01	19%	26 Aug →
ancient	13–9	-0.02	10%	24 Aug →
anubis	6–13	-0.01	14%	23 Aug →
cache	13–5	-0.04	7%	23 Aug →
inferno	10–13	-0.05	24%	21 Aug →
cache	8–13	-0.04	15%	21 Aug →
ancient	4–13	-0.05	12%	21 Aug →
anubis	4–13	-0.07	9%	20 Aug →
dust2	6–13	-0.05	21%	20 Aug →
cache	13–5	-0.05	19%	20 Aug →
cache	14–16	-0.06	18%	18 Aug →
anubis	13–11	-0.00	30%	17 Aug →
ancient	4–13	-0.03	60%	17 Aug →
nuke	13–6	-0.01	24%	14 Aug →
ancient	9–13	-0.04	13%	14 Aug →
ancient	5–13	-0.03	30%	13 Aug →
anubis	13–11	-0.02	28%	13 Aug →
anubis	13–9	-0.01	20%	13 Aug →
cache	13–8	0.06	29%	13 Aug →
ancient	13–11	-0.06	19%	12 Aug →
cache	13–10	-0.05	11%	11 Aug →
inferno	13–10	0.03	21%	11 Aug →
anubis	13–7	0.06	25%	6 Aug →
mirage	13–1	0.07	22%	6 Aug →
anubis	13–3	0.08	25%	4 Aug →
anubis	13–11	0.04	26%	2 Aug →
nuke	15–15	-0.08	12%	2 Aug →
nuke	10–13	-0.04	34%	1 Aug →
inferno	6–13	-0.01	15%	1 Aug →
dust2	7–13	-0.04	13%	1 Aug →
inferno	0–6	-0.10	27%	31 Jul →
dust2	13–4	-0.00	30%	31 Jul →
cache	13–5	0.01	28%	30 Jul →
cache	14–16	0.01	21%	12 Jul →
inferno	13–7	-0.01	8%	28 Jun →
nuke	11–13	-0.03	18%	28 Jun →
dust2	11–13	-0.01	20%	28 May →
anubis	13–10	-0.01	18%	23 May →
cache	8–2	-0.04	19%	23 May →
inferno	16–14	0.02	21%	16 May →
ancient	13–11	0.04	30%	15 May →
cache	13–10	-0.02	29%	15 May →
anubis	15–15	0.02	21%	14 May →
overpass	13–6	0.07	18%	13 May →
ancient	13–5	-0.03	15%	11 May →
inferno	8–13	-0.04	14%	11 May →
overpass	13–10	-0.01	17%	10 May →
nuke	6–13	-0.12	17%	10 May →
mirage	12–16	0.06	25%	9 May →
dust2	10–13	0.02	20%	8 May →
nuke	6–13	-0.06	27%	8 May →
inferno	10–13	0.00	15%	8 May →
ancient	13–8	-0.07	22%	7 May →
nuke	13–10	-0.01	37%	7 May →
ancient	13–7	0.02	19%	5 May →
inferno	13–8	0.00	17%	5 May →
dust2	5–13	-0.04	23%	5 May →
cache	13–10	0.02	13%	4 May →
anubis	13–3	0.09	32%	24 Apr →
inferno	13–0	0.03	16%	24 Apr →
mirage	12–16	-0.04	14%	23 Apr →
ancient	10–13	-0.07	14%	23 Apr →
dust2	13–8	0.03	20%	23 Apr →
overpass	8–13	-0.04	4%	22 Apr →
anubis	13–9	0.02	16%	21 Apr →
mirage	9–13	-0.09	21%	21 Apr →
ancient	15–15	-0.06	11%	21 Apr →
anubis	13–5	0.03	15%	19 Apr →
ancient	16–14	-0.01	16%	19 Apr →
overpass	7–13	-0.05	20%	18 Apr →
ancient	7–13	-0.07	9%	12 Apr →
mirage	9–13	-0.02	18%	10 Apr →
anubis	13–11	-0.05	17%	10 Apr →
ancient	14–16	0.04	30%	9 Apr →
mirage	13–11	-0.01	17%	6 Apr →
inferno	13–9	0.01	24%	6 Apr →
ancient	7–13	-0.03	16%	6 Apr →
anubis	13–11	0.00	21%	6 Apr →
inferno	11–13	-0.01	24%	5 Apr →
dust2	13–9	0.02	27%	5 Apr →
mirage	16–14	0.07	22%	5 Apr →
overpass	10–13	-0.05	17%	5 Apr →
ancient	13–7	0.07	19%	5 Apr →
inferno	6–13	-0.03	22%	5 Apr →
mirage	10–13	0.00	26%	3 Apr →
inferno	13–1	-0.00	17%	3 Apr →
anubis	4–13	-0.03	30%	3 Apr →
nuke	5–13	-0.04	13%	3 Apr →
inferno	3–13	-0.06	18%	2 Apr →
anubis	13–4	0.03	33%	1 Apr →
mirage	13–10	0.07	25%	1 Apr →
mirage	13–1	0.02	35%	31 Mar →
mirage	6–13	-0.06	16%	29 Mar →
overpass	13–8	0.01	17%	29 Mar →
ancient	13–10	-0.01	25%	25 Mar →
mirage	8–13	0.01	23%	22 Mar →
overpass	9–13	-0.02	22%	16 Mar →
ancient	6–13	-0.07	15%	16 Mar →
overpass	3–13	0.02	8%	13 Mar →
anubis	13–11	0.07	17%	13 Mar →