RJP — CS2 Stats

US76561199143209934[U:1:1182944206]Steam profile ↗✓ No bans

935Tracked matches55%Win rate2021Tracked since

741Hours in CS45Hrs last 2 wks

CSDB Rating6.0 SolidAggressive Rifler

Premier CS Rating14,431Blue band · top ~31.4% of ranked players (population est.)

CSDB Leaderboard#12487 of 18900 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning66

Utility38

0–100 skill scores via Leetify.

Recent form

COLD48–47–5Last 10048%Win rateWLLLLLLLLW

Last 10 vs previous 10: -60pp win rate · -0.05 avg rating

Player DNA

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

Aim7.2

Aggression10.0

Utility3.8

Positioning6.6

Opening Duels5.8

Clutch0.0

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 sh1ro 88% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Strengths

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 64% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 570ms 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

Aim7.2

Positioning6.6

Utility3.8

Mechanics6.8

Opening Duels5.8

Win Impact6.7

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time566ms−80ms

first ⅓ avg 647ms → last ⅓ avg 566ms

Headshot accuracy14.2%−0.3%

first ⅓ avg 14.5% → last ⅓ avg 14.2%

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

0.15Best rating — anubis 12–12

13–0Biggest win — overpass

7Longest win streak

5–5In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 73% over 11infernoWeakest map · 28% over 18

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	18	10–8	56%	0.02
inferno	D	18	5–13	28%	0.00
cache	C	17	7–10	41%	0.02
mirage	A	14	8–6	57%	0.04
ancient	C	12	5–7	42%	-0.00
dust2	S	11	8–3	73%	0.03
anubis	—	4	1–3	25%	0.04
overpass	—	3	3–0	100%	0.06
train	—	2	1–1	50%	0.08
office	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

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

Lifetime stats

21,240Lifetime kills

1.18K/D · Top 25% of tracked players

1,288Matches

51.8%Match win rate · Top 25% of tracked players

39.4%Headshot %

15.8%Shot accuracy · Top 25% of tracked players

2,582MVPs

397Hours (in match)

1,010Bombs planted

217Bombs defused

Most-used weapons

M4A4 / M4A1-S6,021

AK-474,989

AWP1,812

P2000 / USP-S1,657

Desert Eagle1,092

Glock-181,011

Galil AR687

P90519

SSG 08444

FAMAS413

Lifetime map wins

1,538inferno

1,495dust2

1,315nuke

974office

232vertigo

211train

71cbble

61lake

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

Faceit stats

Combat

9Matches

22%Win rate

0.93Avg K/D

60.0ADR

35%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	2	50%	0.76	11.5
Mirage	1	0%	0.33	5.0

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.

14.4%Headshot accuracy

38.5%Accuracy (enemy spotted)

37.4%Spray accuracy

80.6%Counter-strafing

10.3°Preaim

570msReaction time

41.9%T opening success

64.3%CT opening success

0.42Enemies flashed / flash

3.7%Flash assists

5.23HE damage / grenade

7.77Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.3945% — below the 15% mark we flag
Aim Training →
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 0.4173 — below the 0.5 mark we flag
Grenade Lineups →

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.

28% win rate across 18 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
cache	16–14	-0.01	12%	28 Aug →
cache	13–16	0.00	8%	27 Aug →
cache	8–13	-0.05	14%	27 Aug →
cache	9–13	0.08	7%	26 Aug →
anubis	14–16	-0.06	21%	26 Aug →
ancient	11–13	0.06	14%	26 Aug →
nuke	9–13	0.03	14%	25 Aug →
cache	5–13	-0.03	19%	25 Aug →
mirage	9–13	-0.01	15%	25 Aug →
nuke	13–3	-0.03	16%	25 Aug →
dust2	13–11	-0.04	22%	25 Aug →
dust2	13–5	0.08	14%	24 Aug →
cache	13–10	0.11	20%	23 Aug →
nuke	4–13	-0.03	20%	23 Aug →
dust2	13–7	0.13	16%	23 Aug →
mirage	13–2	0.04	10%	23 Aug →
nuke	13–3	0.12	16%	23 Aug →
mirage	6–13	-0.01	19%	23 Aug →
inferno	9–5	0.02	9%	23 Aug →
mirage	13–8	0.08	12%	23 Aug →
nuke	13–9	0.07	16%	23 Aug →
cache	13–8	0.06	14%	23 Aug →
cache	13–10	-0.02	13%	22 Aug →
mirage	13–6	0.09	20%	22 Aug →
mirage	13–4	0.04	7%	22 Aug →
inferno	11–13	0.06	11%	22 Aug →
ancient	13–6	0.03	15%	22 Aug →
inferno	2–13	-0.01	13%	22 Aug →
inferno	13–16	0.05	15%	21 Aug →
nuke	15–15	0.02	11%	21 Aug →
inferno	13–7	0.09	10%	21 Aug →
dust2	13–6	0.07	13%	21 Aug →
mirage	13–11	0.12	13%	21 Aug →
mirage	13–4	-0.03	21%	21 Aug →
anubis	0–8	0.00	12%	21 Aug →
nuke	13–8	0.04	11%	21 Aug →
cache	8–13	0.06	22%	21 Aug →
inferno	5–13	-0.01	20%	21 Aug →
ancient	13–3	0.03	7%	18 Aug →
nuke	8–13	0.02	13%	18 Aug →
inferno	8–13	-0.03	11%	18 Aug →
cache	13–9	0.04	11%	18 Aug →
ancient	13–9	0.01	5%	18 Aug →
inferno	1–9	-0.15	4%	18 Aug →
dust2	1–12	-0.07	13%	18 Aug →
cache	8–13	0.08	16%	18 Aug →
mirage	11–13	-0.00	25%	17 Aug →
inferno	9–13	-0.06	10%	17 Aug →
ancient	12–16	0.03	14%	17 Aug →
dust2	15–15	-0.04	13%	17 Aug →
mirage	10–13	0.04	10%	17 Aug →
cache	10–13	0.02	10%	16 Aug →
mirage	6–13	-0.04	5%	16 Aug →
nuke	13–7	0.06	13%	16 Aug →
ancient	13–7	-0.00	8%	16 Aug →
nuke	9–13	0.01	11%	16 Aug →
inferno	6–13	0.02	11%	16 Aug →
cache	13–9	0.00	15%	16 Aug →
inferno	12–16	-0.02	15%	16 Aug →
cache	8–13	-0.02	27%	16 Aug →
mirage	15–15	-0.02	18%	16 Aug →
cache	15–15	0.01	14%	9 Aug →
cache	13–9	0.06	11%	8 Aug →
mirage	13–4	0.14	6%	8 Aug →
nuke	13–9	-0.03	7%	8 Aug →
dust2	13–11	0.05	14%	8 Aug →
ancient	5–13	-0.06	8%	8 Aug →
cache	8–13	-0.03	18%	21 Jul →
office	8–13	0.07	12%	21 Jul →
mirage	13–6	0.06	15%	22 Jun →
dust2	8–13	-0.03	10%	22 Jun →
nuke	9–13	-0.02	6%	30 May →
inferno	6–13	-0.00	27%	30 May →
ancient	4–13	-0.07	11%	30 May →
nuke	6–13	-0.05	12%	30 May →
inferno	9–13	-0.02	18%	30 May →
nuke	13–8	0.12	20%	29 May →
dust2	13–3	0.02	14%	29 May →
ancient	4–13	-0.05	16%	29 May →
overpass	13–0	0.15	9%	29 May →
inferno	5–13	0.00	10%	29 May →
nuke	13–7	0.06	16%	29 May →
overpass	13–10	0.04	18%	29 May →
dust2	13–2	0.09	23%	28 May →
nuke	8–13	0.03	17%	28 May →
overpass	13–5	-0.02	24%	22 Feb →
inferno	13–10	0.06	13%	31 Jan →
dust2	13–5	0.02	20%	31 Jan →
ancient	13–11	-0.04	9%	21 Dec →
ancient	8–13	0.01	21%	20 Dec →
train	13–5	0.13	21%	20 Dec →
inferno	13–7	0.05	18%	20 Dec →
inferno	8–13	-0.02	12%	18 Dec →
inferno	16–13	0.00	6%	18 Dec →
nuke	10–4	-0.06	11%	18 Dec →
anubis	12–12	0.15	13%	16 Dec →
anubis	13–1	0.05	13%	16 Dec →
ancient	11–13	0.03	10%	11 Dec →
nuke	13–10	0.04	9%	11 Dec →
train	8–13	0.02	9%	11 Dec →