✡ Rabbi Shmuley ✡ — CS2 Stats

76561198024000724[U:1:63734996]✓ No bans

643Tracked matches36%Win rate2023Tracked since

CSDB Rating2.8 Learning

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim26

Positioning41

Utility28

0–100 skill scores via Leetify.

Recent form

COLD41–54–5Last 10041%Win rateLLWLLLWLLT

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

Aim2.6

Aggression1.3

Utility2.8

Positioning4.1

Opening Duels0.0

Clutch0.0

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 65% playstyle similarity

Most alike: opening-duel success, 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

Areas to improve

Reaction time. 684ms 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

Aim2.6

Positioning4.1

Utility2.8

Mechanics4.8

Opening Duels0.0

Win Impact0.2

Composite 2.8/10 (Learning), 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-0.04−0.00

first ⅓ avg -0.04 → last ⅓ avg -0.04

Reaction time699ms+24ms

first ⅓ avg 675ms → last ⅓ avg 699ms

Headshot accuracy9.1%+2.3%

first ⅓ avg 6.7% → last ⅓ avg 9.1%

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

0.05Best rating — train 13–1

13–0Biggest win — anubis

5Longest win streak

L2Current streak

3–8In matches decided by ≤2 rounds

3Overtime games

Map breakdown

vertigoBest map · 53% over 19nukeWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	21	6–15	29%	-0.05
vertigo	B	19	10–9	53%	-0.04
mirage	C	14	5–9	36%	-0.04
anubis	B	12	6–6	50%	-0.03
ancient	B	11	5–6	45%	-0.01
nuke	D	6	1–5	17%	-0.06
office	—	4	1–3	25%	-0.04
inferno	—	4	2–2	50%	-0.05
dust2	—	4	1–3	25%	-0.05
overpass	—	3	2–1	67%	-0.05
train	—	2	2–0	100%	0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

26Matches

27%Win rate

0.43Avg K/D

45.8ADR

34%Headshot %

Clutches & streaks

12%1v1 clutch win

7%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	6	17%	0.42	7.2
Inferno	5	40%	0.57	9.2
Mirage	5	60%	0.59	9.2
Nuke	4	25%	0.32	6.5
Dust2	3	0%	0.26	4.0
Train	2	0%	0.30	6.0
Overpass	1	0%	0.27	4.0

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.

8.9%Headshot accuracy

28.4%Accuracy (enemy spotted)

29.1%Spray accuracy

71.4%Counter-strafing

10.0°Preaim

684msReaction time

28.8%T opening success

23.5%CT opening success

0.46Enemies flashed / flash

0.9%Flash assists

5.34HE damage / grenade

3.27Flashes / 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 8.8686% — 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 0.4571 — 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 28.8149% — 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.

17% win rate across 6 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
mirage	11–13	0.04	13%	16 Aug →
anubis	6–13	-0.01	8%	15 Aug →
ancient	13–8	-0.01	8%	15 Aug →
vertigo	8–13	-0.06	9%	9 Aug →
vertigo	6–13	-0.06	4%	4 Aug →
cache	2–13	-0.09	11%	1 Aug →
ancient	13–11	-0.02	8%	1 Aug →
cache	2–13	-0.06	19%	1 Aug →
vertigo	10–13	-0.07	10%	19 Jul →
vertigo	12–12	-0.04	8%	18 Jul →
mirage	13–5	-0.06	13%	11 Jul →
ancient	13–9	0.02	1%	10 Jul →
cache	2–13	-0.10	5%	9 Jul →
ancient	11–13	-0.01	14%	9 Jul →
office	12–12	-0.04	3%	4 Jul →
vertigo	13–6	-0.01	13%	4 Jul →
vertigo	13–10	-0.05	7%	3 Jul →
overpass	13–10	-0.05	7%	27 Jun →
mirage	10–13	0.00	6%	26 Jun →
anubis	9–13	-0.08	7%	26 Jun →
cache	0–13	-0.10	5%	21 Jun →
anubis	5–13	-0.08	10%	21 Jun →
vertigo	13–10	0.00	18%	21 Jun →
ancient	13–9	0.00	15%	14 Jun →
anubis	6–13	-0.01	10%	13 Jun →
ancient	10–13	-0.04	8%	11 Jun →
ancient	10–13	-0.00	8%	7 Jun →
inferno	13–7	-0.04	4%	7 Jun →
vertigo	5–13	-0.09	4%	7 Jun →
vertigo	6–13	-0.09	11%	5 Jun →
mirage	13–7	-0.03	18%	31 May →
cache	6–13	-0.09	7%	30 May →
vertigo	12–12	-0.05	8%	30 May →
dust2	13–16	0.00	12%	29 May →
anubis	13–9	-0.10	10%	29 May →
vertigo	13–3	0.00	8%	25 May →
office	3–13	-0.04	17%	25 May →
cache	13–2	-0.01	15%	25 May →
overpass	16–12	-0.08	12%	24 May →
mirage	4–13	-0.09	11%	24 May →
anubis	13–8	0.01	13%	24 May →
mirage	6–13	-0.05	16%	23 May →
nuke	9–13	-0.05	10%	23 May →
inferno	5–13	-0.07	12%	21 May →
anubis	13–6	-0.01	8%	21 May →
nuke	7–13	-0.03	9%	20 May →
dust2	8–13	-0.08	5%	20 May →
mirage	10–13	-0.06	12%	17 May →
anubis	14–16	-0.04	10%	17 May →
overpass	6–13	-0.04	16%	16 May →
mirage	13–4	-0.03	5%	16 May →
mirage	13–8	-0.03	6%	16 May →
ancient	13–9	-0.00	11%	16 May →
inferno	9–13	-0.01	7%	16 May →
office	4–13	-0.03	7%	15 May →
anubis	13–0	0.01	4%	14 May →
cache	11–13	-0.02	6%	14 May →
dust2	13–6	-0.03	8%	12 May →
cache	13–4	-0.03	11%	12 May →
cache	1–4	0.01	25%	12 May →
vertigo	13–9	-0.04	7%	11 May →
mirage	7–13	-0.10	11%	11 May →
inferno	5–3	-0.08	6%	10 May →
ancient	8–13	-0.04	10%	10 May →
train	13–11	-0.03	5%	10 May →
cache	11–13	-0.14	6%	10 May →
cache	12–12	-0.05	4%	9 May →
vertigo	13–3	0.03	4%	9 May →
anubis	13–1	-0.03	10%	9 May →
mirage	9–13	-0.07	6%	9 May →
nuke	7–13	-0.05	3%	8 May →
cache	7–4	-0.11	17%	8 May →
vertigo	11–13	-0.04	8%	8 May →
vertigo	7–13	-0.04	8%	7 May →
mirage	7–13	-0.01	19%	7 May →
nuke	9–13	-0.08	3%	7 May →
cache	13–4	0.03	11%	7 May →
cache	13–3	-0.08	11%	6 May →
vertigo	13–10	-0.04	6%	6 May →
anubis	13–0	0.02	0%	6 May →
cache	13–9	-0.00	11%	6 May →
cache	10–13	-0.06	5%	5 May →
ancient	9–13	-0.03	5%	4 May →
anubis	5–13	-0.06	4%	4 May →
ancient	11–13	0.01	1%	3 May →
cache	6–13	-0.06	4%	3 May →
nuke	7–3	-0.08	5%	2 May →
vertigo	13–7	-0.09	4%	2 May →
dust2	7–13	-0.10	11%	1 May →
cache	12–12	-0.07	5%	1 May →
office	13–1	-0.04	9%	30 Apr →
vertigo	13–9	0.00	2%	30 Apr →
cache	8–13	-0.00	15%	30 Apr →
cache	11–13	-0.03	8%	29 Apr →
cache	8–13	-0.09	0%	29 Apr →
mirage	13–0	-0.02	8%	28 Apr →
train	13–1	0.05	7%	27 Apr →
mirage	8–13	-0.05	7%	26 Apr →
vertigo	13–5	-0.04	7%	26 Apr →
nuke	2–13	-0.08	0%	26 Apr →