ron1N — CS2 Stats

76561198154434188[U:1:194168460]

1,406Tracked matches70%Win rate2020Tracked since

5,182Hours in CS

CSDB Rating7.6 StrongAggressive Rifler

Premier CS Rating26,827Top 10% of 29,473 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)

CSDB Leaderboard#2388 of 55384 tracked

FaceitLevel 10 · 3,150 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	53.2%	51.9%
Shot accuracy	18.0%	13.7%
Kill/death ratio	1.39	1.08
Match win rate	51.9%	48.7%

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Performance scores

Aim83

Positioning66

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY68–31–1Last 10068%Win rateLWWWWLWWWW

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

Player DNA

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

Aim8.3

Aggression7.9

Utility6.9

Positioning6.6

Opening Duels2.9

Clutch4.4

Strong CT-side opener

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 b1t 94% playstyle similarity

Most alike: opening-duel success, positioning 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

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

Positioning6.6

Utility6.9

Mechanics6.6

Opening Duels3.8

Win Impact10.0

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time481ms−11ms

first ⅓ avg 492ms → last ⅓ avg 481ms

Headshot accuracy16.8%−1.2%

first ⅓ avg 18.0% → last ⅓ avg 16.8%

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 — nuke 13–2

13–0Biggest win — dust2

10Longest win streak

6–5In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 80% over 20overpassWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	28	20–8	71%	0.02
ancient	S	20	16–4	80%	0.03
dust2	S	17	11–6	65%	0.03
anubis	S	13	10–3	77%	0.02
overpass	D	6	2–4	33%	-0.01
inferno	D	6	2–4	33%	0.03
cache	—	3	2–1	67%	0.06
mirage	—	3	3–0	100%	0.06
train	—	2	0–2	0%	-0.00
vertigo	—	2	2–0	100%	0.05

Across the last 100 tracked matches.

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

Lifetime stats

215,958Lifetime kills

1.39K/D · Top 10% of Level 10 players

6,260Matches

51.9%Match win rate · Top 25% of Level 10 players

53.2%Headshot % · Top 50% of Level 10 players

18.0%Shot accuracy · Top 25% of Level 10 players

25,501MVPs

5,182Hours (in match)

12,201Bombs planted

4,663Bombs defused

Most-used weapons

AK-4787,947

AWP32,615

M4A4 / M4A1-S29,075

P2000 / USP-S15,442

Desert Eagle12,887

Glock-188,064

P2503,462

MP92,586

SG 5532,240

SSG 082,211

Lifetime map wins

13,196dust2

9,825inferno

5,089vertigo

5,037nuke

2,767train

2,586cbble

107safehouse

103ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,267Matches

61%Win rate

1.40Avg K/D

81.4ADR

40%Headshot %

Clutches & streaks

42%1v1 clutch win

24%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	126	63%	1.45	17.1
Anubis	75	69%	1.53	17.3
Nuke	72	68%	1.35	16.0
Dust2	42	71%	1.58	16.7
Vertigo	28	68%	1.47	16.8
Inferno	16	69%	1.40	15.3
Mirage	16	88%	1.62	14.3
Overpass	13	46%	1.11	16.1

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.

16.5%Headshot accuracy

35.2%Accuracy (enemy spotted)

39.5%Spray accuracy

79.5%Counter-strafing

7.8°Preaim

486msReaction time

22.3%T opening success

60.7%CT opening success

0.65Enemies flashed / flash

8.6%Flash assists

9.14HE damage / grenade

11.83Flashes / 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 22.2867% — below the 40% mark we flag

Spend your practice time on Overpass

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 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
overpass	8–13	-0.03	22%	23 Jul →
ancient	13–4	0.07	14%	22 Jul →
anubis	13–6	0.08	15%	22 Jul →
ancient	13–8	0.03	23%	22 Jul →
anubis	13–2	0.07	12%	22 Jul →
cache	7–13	0.00	10%	21 Jul →
nuke	13–11	0.06	15%	21 Jul →
nuke	16–12	0.04	17%	21 Jul →
cache	13–6	0.05	14%	18 Jul →
nuke	13–9	0.01	27%	18 Jul →
dust2	13–4	0.02	10%	18 Jul →
ancient	8–13	-0.03	9%	18 Jul →
nuke	16–14	-0.01	16%	17 Jul →
cache	13–8	0.12	16%	17 Jul →
nuke	13–6	-0.01	23%	16 Jul →
dust2	13–6	0.03	29%	16 Jul →
dust2	13–7	0.03	22%	16 Jul →
anubis	13–5	0.07	20%	15 Jul →
dust2	13–11	-0.01	9%	15 Jul →
ancient	13–3	-0.01	9%	15 Jul →
inferno	11–13	0.03	23%	15 Jul →
dust2	13–0	0.05	27%	15 Jul →
anubis	13–9	-0.01	11%	2 Jul →
dust2	7–13	0.03	26%	2 Jul →
nuke	5–13	-0.03	7%	25 Jun →
nuke	11–13	0.05	18%	24 Jun →
ancient	3–13	0.05	2%	16 Jun →
dust2	13–4	0.00	11%	8 Jun →
inferno	13–2	0.10	17%	8 May →
anubis	9–13	-0.02	16%	29 Apr →
nuke	8–13	-0.02	18%	29 Apr →
train	5–13	-0.01	28%	23 Dec →
nuke	8–13	0.02	20%	23 Dec →
inferno	16–13	0.07	21%	23 Dec →
ancient	13–3	0.05	15%	23 Dec →
dust2	11–13	-0.06	13%	23 Dec →
dust2	15–15	0.01	16%	22 Dec →
nuke	13–7	0.08	21%	22 Dec →
ancient	13–8	-0.01	22%	22 Dec →
ancient	13–6	0.07	18%	22 Dec →
dust2	9–13	0.01	16%	22 Dec →
dust2	13–7	0.08	25%	22 Dec →
nuke	13–10	-0.00	21%	22 Dec →
dust2	3–13	0.00	24%	22 Dec →
vertigo	13–1	0.02	18%	22 Dec →
vertigo	13–1	0.07	10%	22 Dec →
inferno	10–13	0.04	13%	22 Dec →
overpass	8–13	-0.04	14%	21 Dec →
nuke	13–9	0.02	24%	21 Dec →
nuke	13–4	0.04	16%	16 Dec →
nuke	9–13	0.03	17%	16 Dec →
nuke	13–10	0.09	22%	15 Dec →
ancient	13–2	0.10	18%	15 Dec →
nuke	14–16	0.01	16%	15 Dec →
overpass	13–11	0.02	12%	15 Dec →
ancient	13–3	0.10	28%	15 Dec →
overpass	2–13	-0.01	35%	18 Oct →
ancient	12–16	0.01	26%	18 Oct →
nuke	13–7	-0.02	8%	17 Oct →
overpass	13–7	0.03	3%	2 Oct →
nuke	13–7	0.11	25%	24 Sept →
mirage	13–1	0.06	13%	24 Sept →
inferno	7–13	-0.02	5%	24 Sept →
overpass	11–13	-0.03	20%	16 Sept →
nuke	13–4	0.07	24%	16 Sept →
nuke	13–10	-0.00	23%	11 Sept →
inferno	3–13	-0.06	33%	22 Aug →
ancient	13–7	0.03	26%	22 Aug →
ancient	13–9	0.02	13%	15 Jul →
dust2	10–13	0.03	25%	14 Jul →
ancient	13–9	0.00	33%	14 Jul →
nuke	9–13	-0.08	9%	14 Jul →
anubis	9–13	0.00	15%	14 Jul →
nuke	7–13	-0.00	18%	14 Jul →
nuke	13–9	0.02	16%	12 Jul →
nuke	13–10	-0.02	13%	12 Jul →
anubis	10–13	-0.08	14%	12 Jul →
dust2	13–5	0.09	22%	26 Jun →
ancient	13–7	0.03	23%	26 Jun →
nuke	13–6	0.03	13%	26 Jun →
dust2	13–11	0.05	17%	26 Jun →
anubis	13–1	0.13	15%	26 Jun →
train	4–13	0.00	11%	19 Jun →
ancient	13–8	0.02	24%	19 Jun →
mirage	13–4	0.05	23%	19 Jun →
anubis	19–15	0.02	17%	19 Jun →
anubis	19–15	-0.02	22%	18 Jun →
ancient	13–7	-0.03	30%	18 Jun →
anubis	13–3	0.04	9%	16 Jun →
dust2	13–2	0.13	20%	16 Jun →
nuke	13–10	0.01	11%	3 Jun →
ancient	13–10	0.01	15%	3 Jun →
nuke	13–2	0.16	14%	3 Jun →
ancient	13–16	0.03	18%	26 May →
anubis	16–13	-0.01	15%	26 May →
mirage	13–2	0.08	10%	22 May →
dust2	16–14	-0.02	19%	22 May →
anubis	13–8	-0.02	28%	14 May →
ancient	13–1	0.08	16%	14 May →
nuke	13–6	0.07	23%	6 May →