RJtheRaccoon — CS2 Stats

76561198314768266[U:1:354502538]

1,366Tracked matches48%Win rate2023Tracked since

CSDB Rating4.8 Developing

Premier CS Rating16,800Purple band · top ~21.2% of ranked players (population est.)

FaceitLevel 5 · 1,180 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim44

Positioning49

Utility53

0–100 skill scores via Leetify.

Recent form

COLD49–49–2Last 10049%Win rateLWLWLLWLLL

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

Player DNA

Aim4.4

Aggression6.7

Utility5.3

Positioning4.9

Opening Duels3.3

Clutch3.2

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 b1t 84% playstyle similarity

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

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 56% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 628ms 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

Aim4.4

Positioning4.9

Utility5.3

Mechanics6.2

Opening Duels3.3

Win Impact4.4

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time630ms−7ms

first ⅓ avg 637ms → last ⅓ avg 630ms

Headshot accuracy20.7%−1.0%

first ⅓ avg 21.7% → last ⅓ avg 20.7%

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 — nuke 11–3

12–1Biggest win — cache

5Longest win streak

7–13In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 73% over 11anubisWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	22	8–14	36%	-0.00
dust2	S	19	13–6	68%	0.03
mirage	C	14	6–8	43%	-0.01
inferno	C	11	4–7	36%	-0.01
nuke	S	11	8–3	73%	0.00
ancient	B	10	5–5	50%	-0.01
anubis	D	7	2–5	29%	-0.05
overpass	—	3	2–1	67%	0.03
vertigo	—	2	1–1	50%	0.03
debris	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

71Matches

46%Win rate

1.05Avg K/D

82.4ADR

49%Headshot %

Clutches & streaks

36%1v1 clutch win

15%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	23	52%	0.99	15.1
Nuke	11	45%	1.13	18.1
Ancient	9	33%	1.23	15.4
Dust2	8	38%	1.03	13.3
Inferno	7	43%	1.19	14.4
Anubis	5	40%	0.76	11.4
Cache	3	67%	0.70	8.7
Vertigo	3	67%	1.14	18.7

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.

20.9%Headshot accuracy

27.2%Accuracy (enemy spotted)

29.6%Spray accuracy

77.7%Counter-strafing

11.8°Preaim

628msReaction time

30.6%T opening success

55.8%CT opening success

0.46Enemies flashed / flash

10.3%Flash assists

9.12HE damage / grenade

6.33Flashes / 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 0.4606 — 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 30.5609% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	11–13	-0.06	8%	24 Aug →
cache	13–5	-0.02	7%	24 Aug →
vertigo	7–13	0.02	11%	22 Aug →
overpass	13–3	0.06	20%	22 Aug →
mirage	9–13	0.03	15%	16 Aug →
mirage	7–13	-0.04	15%	14 Aug →
dust2	13–6	0.04	19%	13 Aug →
ancient	11–13	0.01	23%	10 Aug →
cache	11–13	-0.01	25%	10 Aug →
mirage	5–13	-0.07	29%	10 Aug →
dust2	7–13	0.05	25%	9 Aug →
inferno	7–9	-0.04	28%	9 Aug →
dust2	10–13	0.04	29%	9 Aug →
dust2	8–7	0.03	24%	9 Aug →
mirage	10–13	-0.02	19%	9 Aug →
dust2	13–7	-0.00	24%	9 Aug →
ancient	13–9	0.03	24%	9 Aug →
nuke	13–6	0.03	24%	9 Aug →
debris	4–9	-0.00	20%	8 Aug →
dust2	13–5	0.06	27%	8 Aug →
vertigo	13–10	0.03	21%	8 Aug →
ancient	1–13	-0.11	8%	8 Aug →
nuke	10–13	-0.01	20%	3 Aug →
anubis	13–11	-0.07	17%	3 Aug →
anubis	1–13	-0.12	7%	1 Aug →
dust2	13–8	0.05	22%	1 Aug →
ancient	16–14	0.08	41%	1 Aug →
ancient	11–13	-0.04	29%	1 Aug →
anubis	11–13	0.03	22%	31 Jul →
ancient	13–8	-0.02	12%	31 Jul →
dust2	12–12	0.02	19%	31 Jul →
dust2	13–7	0.01	26%	27 Jul →
cache	12–1	-0.04	25%	27 Jul →
mirage	13–2	0.02	20%	26 Jul →
nuke	13–11	-0.01	34%	26 Jul →
inferno	13–7	0.06	30%	26 Jul →
ancient	7–13	-0.02	11%	26 Jul →
cache	3–13	-0.07	24%	25 Jul →
dust2	13–5	0.06	30%	25 Jul →
mirage	16–14	-0.02	24%	25 Jul →
cache	9–13	-0.06	17%	25 Jul →
inferno	13–9	0.05	20%	25 Jul →
anubis	6–13	-0.08	17%	25 Jul →
cache	13–8	0.05	25%	24 Jul →
dust2	13–5	0.09	26%	24 Jul →
anubis	11–13	0.00	17%	24 Jul →
nuke	13–10	0.01	24%	23 Jul →
dust2	13–5	0.04	32%	23 Jul →
mirage	7–13	0.03	15%	20 Jul →
mirage	13–8	-0.03	22%	20 Jul →
dust2	14–16	-0.01	27%	20 Jul →
inferno	13–3	0.03	47%	20 Jul →
ancient	13–9	-0.06	18%	19 Jul →
mirage	13–11	0.05	38%	19 Jul →
overpass	13–10	0.04	21%	18 Jul →
inferno	10–13	-0.04	10%	18 Jul →
dust2	7–13	-0.03	31%	18 Jul →
nuke	16–12	0.04	28%	15 Jul →
anubis	1–7	-0.07	27%	15 Jul →
cache	13–5	0.07	20%	15 Jul →
nuke	13–16	-0.05	18%	13 Jul →
overpass	4–13	-0.02	18%	12 Jul →
dust2	13–8	0.02	23%	12 Jul →
mirage	5–13	-0.04	17%	12 Jul →
cache	6–13	-0.03	26%	12 Jul →
dust2	13–6	0.05	23%	12 Jul →
inferno	6–13	-0.07	19%	12 Jul →
inferno	11–13	0.05	21%	12 Jul →
cache	6–13	-0.02	15%	10 Jul →
cache	6–13	-0.03	21%	10 Jul →
inferno	14–16	-0.01	14%	6 Jul →
dust2	9–1	0.02	36%	6 Jul →
nuke	13–6	-0.09	24%	5 Jul →
cache	9–13	0.07	32%	2 Jul →
mirage	13–9	-0.01	22%	1 Jul →
dust2	13–5	0.02	21%	30 Jun →
ancient	6–13	-0.06	19%	26 Jun →
nuke	16–13	0.00	39%	26 Jun →
mirage	10–13	-0.01	23%	25 Jun →
mirage	13–8	0.00	27%	24 Jun →
cache	13–7	0.02	11%	20 Jun →
cache	13–6	0.09	40%	20 Jun →
cache	13–11	0.00	27%	20 Jun →
dust2	6–13	0.07	21%	20 Jun →
cache	10–13	-0.07	18%	19 Jun →
cache	12–12	0.06	25%	19 Jun →
cache	7–13	-0.14	8%	17 Jun →
inferno	4–13	-0.05	26%	15 Jun →
ancient	13–7	0.07	17%	15 Jun →
nuke	16–13	-0.01	16%	14 Jun →
nuke	11–3	0.15	19%	13 Jun →
cache	4–13	-0.02	20%	13 Jun →
cache	11–13	-0.06	17%	13 Jun →
inferno	13–10	-0.05	22%	13 Jun →
inferno	10–13	-0.05	16%	12 Jun →
cache	13–6	0.05	22%	12 Jun →
anubis	13–6	-0.00	19%	6 Jun →
cache	10–13	-0.00	25%	5 Jun →
cache	11–13	0.04	20%	5 Jun →
nuke	14–16	-0.05	13%	4 Jun →