RonJeremyPvP — CS2 Stats

76561198070392704[U:1:110126976]Steam profile ↗✓ No bans

2,459Tracked matches61%Win rate2020Tracked since

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating24,841Top 50% of 819 CSDB-tracked playersPink band · top ~3.2% of ranked players (population est.)

CSDB Leaderboard#2803 of 16427 tracked

FaceitLevel 7 · 1,385 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning58

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY46–47–7Last 10046%Win rateLWWLLTWWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim8.7

Aggression7.0

Utility5.7

Positioning5.8

Opening Duels2.0

Clutch10.0

Sharp aimerReliable in 1v1s

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 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

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

Reaction time. 553ms 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

Aim8.7

Positioning5.8

Utility5.7

Mechanics7.4

Opening Duels2.0

Win Impact8.6

Composite 6.9/10 (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 time560ms−27ms

first ⅓ avg 587ms → last ⅓ avg 560ms

Headshot accuracy19.5%−3.7%

first ⅓ avg 23.2% → last ⅓ avg 19.5%

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

0.18Best rating — inferno 13–3

13–1Biggest win — ancient

4Longest win streak

10–11In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 67% over 15officeWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	19	7–12	37%	0.00
inferno	A	18	10–8	56%	0.02
mirage	A	17	10–7	59%	-0.01
cache	S	15	10–5	67%	0.01
ancient	C	8	3–5	38%	-0.02
office	D	6	1–5	17%	-0.00
anubis	A	5	3–2	60%	0.01
dust2	D	5	1–4	20%	-0.03
vertigo	—	3	1–2	33%	0.00
train	—	2	0–2	0%	-0.03
shelter	—	1	0–1	0%	-0.04
italy	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

102Matches

54%Win rate

0.98Avg K/D

78.3ADR

39%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	8	62%	1.15	14.0
Nuke	6	33%	0.92	11.3
Anubis	5	60%	0.92	14.0
Dust2	4	50%	0.78	11.3
Ancient	4	75%	0.92	12.0
Mirage	3	67%	0.96	12.3
Vertigo	3	33%	0.78	12.3
Overpass	2	100%	0.69	10.5

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.

19.5%Headshot accuracy

40.1%Accuracy (enemy spotted)

44.8%Spray accuracy

83.1%Counter-strafing

9.5°Preaim

553msReaction time

35.4%T opening success

40.4%CT opening success

0.63Enemies flashed / flash

3.8%Flash assists

14.85HE damage / grenade

6.77Flashes / 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 35.4037% — below the 40% mark we flag

Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	14–16	0.02	20%	23 Aug →
nuke	13–6	-0.00	10%	23 Aug →
mirage	13–11	-0.03	18%	23 Aug →
inferno	2–13	-0.06	0%	23 Aug →
nuke	5–13	-0.00	17%	21 Aug →
inferno	15–15	0.06	25%	17 Aug →
nuke	13–3	0.01	10%	17 Aug →
anubis	13–6	0.06	15%	17 Aug →
mirage	13–6	0.06	23%	17 Aug →
mirage	13–8	0.03	13%	16 Aug →
train	6–13	0.00	26%	16 Aug →
inferno	11–13	0.03	25%	11 Aug →
dust2	6–13	-0.04	25%	11 Aug →
inferno	8–13	-0.02	19%	10 Aug →
ancient	13–11	0.01	17%	10 Aug →
inferno	13–3	0.03	34%	10 Aug →
dust2	13–9	-0.00	20%	9 Aug →
inferno	11–13	-0.05	16%	9 Aug →
office	12–12	-0.01	26%	8 Aug →
mirage	13–10	0.04	17%	6 Aug →
cache	13–10	-0.02	9%	6 Aug →
ancient	11–13	-0.03	13%	5 Aug →
nuke	8–13	-0.06	12%	3 Aug →
mirage	13–10	0.02	13%	3 Aug →
ancient	16–14	0.00	23%	1 Aug →
inferno	3–1	0.06	33%	1 Aug →
vertigo	13–11	-0.03	19%	31 Jul →
vertigo	7–13	0.05	42%	31 Jul →
nuke	13–9	-0.01	22%	30 Jul →
cache	13–5	-0.02	29%	29 Jul →
ancient	2–13	-0.10	13%	29 Jul →
inferno	11–13	0.02	26%	27 Jul →
anubis	13–4	0.01	12%	27 Jul →
mirage	14–16	0.05	11%	27 Jul →
cache	5–13	-0.00	18%	27 Jul →
anubis	13–9	0.02	27%	27 Jul →
cache	5–13	-0.08	6%	27 Jul →
inferno	13–11	-0.02	18%	26 Jul →
inferno	13–9	0.01	24%	26 Jul →
cache	10–13	0.01	19%	26 Jul →
ancient	14–16	-0.00	11%	26 Jul →
nuke	13–6	0.02	17%	26 Jul →
ancient	2–13	-0.05	32%	26 Jul →
cache	13–9	-0.01	17%	25 Jul →
mirage	4–13	-0.08	13%	25 Jul →
mirage	13–3	0.06	14%	25 Jul →
cache	13–3	0.06	22%	25 Jul →
nuke	3–13	-0.10	21%	25 Jul →
cache	13–3	0.06	24%	25 Jul →
mirage	6–13	-0.09	27%	24 Jul →
nuke	7–13	-0.05	21%	22 Jul →
ancient	13–1	0.05	17%	22 Jul →
nuke	15–15	0.03	25%	22 Jul →
anubis	14–16	-0.01	11%	21 Jul →
cache	13–11	0.03	9%	21 Jul →
inferno	13–7	0.05	21%	21 Jul →
ancient	0–13	-0.04	14%	21 Jul →
nuke	5–13	-0.01	16%	21 Jul →
cache	11–13	0.08	11%	21 Jul →
nuke	8–13	0.04	11%	21 Jul →
cache	13–6	0.08	15%	20 Jul →
mirage	8–13	-0.03	18%	20 Jul →
mirage	1–13	-0.11	14%	20 Jul →
inferno	0–13	-0.09	0%	20 Jul →
nuke	11–13	-0.00	32%	20 Jul →
mirage	1–13	-0.02	19%	20 Jul →
inferno	13–3	0.18	50%	20 Jul →
nuke	15–15	0.02	22%	19 Jul →
inferno	13–7	0.06	45%	19 Jul →
cache	9–13	0.04	20%	19 Jul →
inferno	13–6	0.08	10%	19 Jul →
inferno	16–13	0.04	29%	19 Jul →
office	13–7	0.02	17%	18 Jul →
inferno	4–13	-0.00	24%	18 Jul →
nuke	11–13	0.00	20%	18 Jul →
mirage	13–11	0.01	13%	18 Jul →
cache	16–12	-0.02	22%	16 Jul →
nuke	13–10	0.06	17%	15 Jul →
dust2	7–13	-0.07	42%	15 Jul →
mirage	13–9	0.02	13%	13 Jul →
mirage	13–10	-0.02	14%	12 Jul →
nuke	13–11	0.03	21%	12 Jul →
cache	13–9	-0.05	19%	11 Jul →
office	12–12	-0.05	21%	10 Jul →
office	9–13	-0.01	23%	10 Jul →
shelter	12–12	-0.04	17%	9 Jul →
nuke	9–13	0.03	14%	9 Jul →
nuke	13–11	0.04	10%	9 Jul →
office	7–13	0.03	23%	9 Jul →
train	7–13	-0.06	45%	7 Jul →
mirage	9–13	-0.09	16%	7 Jul →
italy	12–12	-0.02	24%	7 Jul →
dust2	8–13	0.02	29%	7 Jul →
mirage	13–7	-0.02	21%	7 Jul →
office	5–13	-0.01	39%	7 Jul →
dust2	4–13	-0.08	50%	6 Jul →
vertigo	6–13	-0.01	28%	6 Jul →
anubis	8–13	-0.04	12%	6 Jul →
cache	13–8	-0.02	22%	6 Jul →
inferno	13–9	0.06	24%	3 Jul →