Rhabby_v — CS2 Stats

76561198163814618[U:1:203548890]

1,909Tracked matches46%Win rate2020Tracked since

CSDB Rating4.6 Developing

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

1Days observed since 2026-08-30

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim53

Positioning41

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY41–51–8Last 10041%Win rateLWLLLWWWWW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Aim5.3

Aggression3.6

Utility4.7

Positioning4.1

Opening Duels0.7

Clutch2.6

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 76% playstyle similarity

Most alike: utility contribution, 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

Reaction time. 652ms 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

Aim5.3

Positioning4.1

Utility4.7

Mechanics6.2

Opening Duels1.3

Win Impact3.8

Composite 4.6/10 (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-0.01+0.03

first ⅓ avg -0.04 → last ⅓ avg -0.01

Reaction time658ms−33ms

first ⅓ avg 691ms → last ⅓ avg 658ms

Headshot accuracy14.0%−0.1%

first ⅓ avg 14.0% → last ⅓ avg 14.0%

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

0.07Best rating — cache 12–12

13–1Biggest win — mirage

9Longest win streak

8–11In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 60% over 10anubisWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	25	11–14	44%	-0.02
ancient	C	21	8–13	38%	-0.02
cache	B	11	5–6	45%	-0.02
overpass	D	11	3–8	27%	-0.03
nuke	A	10	6–4	60%	-0.02
anubis	D	7	1–6	14%	-0.02
inferno	A	7	4–3	57%	-0.04
vertigo	B	6	3–3	50%	-0.00
dust2	—	2	0–2	0%	-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,170Matches

49%Win rate

0.73Avg K/D

73.4ADR

36%Headshot %

Clutches & streaks

33%1v1 clutch win

57%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	14	50%	0.94	12.6
Mirage	13	38%	0.68	10.9
Anubis	10	40%	0.66	12.9
Vertigo	9	56%	0.74	11.8
Overpass	6	33%	0.74	11.3
Nuke	1	0%	0.71	12.0
Inferno	1	0%	0.73	11.0

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.

13.7%Headshot accuracy

36.1%Accuracy (enemy spotted)

36.9%Spray accuracy

78.1%Counter-strafing

11.6°Preaim

652msReaction time

25.2%T opening success

40.0%CT opening success

0.70Enemies flashed / flash

3.5%Flash assists

15.32HE damage / grenade

2.56Flashes / 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 13.7384% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.5643 — below the 4 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 25.2039% — 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.

14% 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
anubis	7–13	-0.03	13%	30 Aug →
ancient	13–10	0.04	12%	27 Aug →
mirage	11–13	-0.04	14%	27 Aug →
anubis	10–13	-0.02	7%	22 Aug →
inferno	4–13	-0.13	0%	22 Aug →
cache	14–12	0.03	24%	21 Aug →
cache	13–7	0.00	19%	4 Jul →
ancient	13–11	0.01	14%	4 Jul →
inferno	13–8	0.01	16%	21 Jun →
nuke	13–7	-0.03	9%	21 Jun →
mirage	13–7	0.01	30%	21 Jun →
ancient	13–11	-0.05	10%	21 Jun →
nuke	13–9	0.04	13%	21 Jun →
mirage	13–10	-0.05	9%	21 Jun →
ancient	5–13	-0.02	10%	20 Jun →
nuke	12–12	0.03	8%	20 Jun →
vertigo	13–10	0.02	11%	20 Jun →
cache	3–13	-0.06	26%	20 Jun →
ancient	6–13	-0.05	5%	20 Jun →
overpass	5–13	0.04	10%	20 Jun →
overpass	12–12	-0.03	9%	19 Jun →
vertigo	3–13	-0.03	11%	19 Jun →
ancient	13–9	-0.05	16%	18 Jun →
nuke	11–13	-0.03	20%	18 Jun →
mirage	9–13	0.06	15%	17 Jun →
ancient	9–13	-0.02	25%	17 Jun →
overpass	11–13	0.02	8%	17 Jun →
mirage	7–13	-0.03	19%	17 Jun →
mirage	13–11	0.04	9%	16 Jun →
anubis	9–13	-0.03	19%	16 Jun →
ancient	11–13	0.00	8%	13 Jun →
cache	13–5	-0.02	18%	13 Jun →
mirage	13–5	0.02	23%	13 Jun →
anubis	13–7	0.01	16%	12 Jun →
mirage	13–6	-0.01	13%	9 Jun →
ancient	5–13	-0.02	10%	9 Jun →
ancient	11–13	0.00	11%	7 Jun →
mirage	8–13	-0.04	10%	7 Jun →
anubis	10–13	-0.03	14%	6 Jun →
inferno	11–13	-0.01	13%	6 Jun →
overpass	5–13	-0.04	13%	6 Jun →
ancient	3–13	-0.09	13%	6 Jun →
anubis	15–15	-0.01	11%	4 Jun →
nuke	6–13	-0.02	7%	4 Jun →
vertigo	11–13	-0.02	8%	3 Jun →
vertigo	13–6	-0.00	25%	3 Jun →
mirage	13–11	-0.01	12%	31 May →
anubis	6–13	-0.04	14%	28 May →
nuke	13–11	0.01	13%	28 May →
ancient	6–13	-0.04	9%	27 May →
mirage	13–1	0.05	18%	27 May →
overpass	13–9	0.01	16%	25 May →
ancient	11–13	0.06	14%	25 May →
mirage	15–15	-0.04	9%	25 May →
overpass	13–3	-0.06	15%	24 May →
mirage	4–13	-0.03	8%	22 May →
overpass	4–13	-0.09	41%	22 May →
ancient	13–11	-0.06	9%	22 May →
ancient	11–13	0.02	15%	22 May →
cache	13–9	-0.02	19%	22 May →
overpass	5–13	-0.02	8%	21 May →
mirage	3–13	-0.02	4%	21 May →
cache	12–12	0.07	21%	21 May →
mirage	16–13	-0.08	13%	21 May →
cache	7–13	-0.06	9%	20 May →
nuke	10–13	-0.03	11%	19 May →
mirage	13–11	-0.08	8%	19 May →
dust2	13–16	-0.05	10%	18 May →
inferno	4–13	-0.09	21%	18 May →
nuke	13–6	-0.05	17%	18 May →
ancient	13–9	-0.06	9%	17 May →
vertigo	13–4	0.07	15%	17 May →
mirage	5–13	-0.07	21%	14 May →
ancient	5–13	0.00	6%	14 May →
vertigo	4–13	-0.05	14%	14 May →
cache	12–12	-0.04	22%	14 May →
ancient	10–13	-0.03	18%	14 May →
cache	13–4	-0.07	15%	13 May →
mirage	3–0	0.04	9%	13 May →
overpass	7–13	-0.04	13%	13 May →
mirage	12–12	-0.01	8%	12 May →
cache	8–13	-0.03	21%	12 May →
overpass	3–13	-0.06	6%	12 May →
nuke	13–5	-0.07	8%	11 May →
mirage	11–13	-0.05	5%	11 May →
ancient	8–13	-0.03	17%	11 May →
inferno	13–10	-0.06	9%	11 May →
mirage	9–13	-0.01	22%	11 May →
inferno	13–6	-0.02	13%	11 May →
mirage	7–13	-0.12	7%	11 May →
dust2	4–13	-0.10	18%	11 May →
ancient	13–10	-0.02	9%	10 May →
mirage	11–13	-0.06	15%	10 May →
ancient	13–2	-0.00	12%	10 May →
overpass	13–7	-0.03	20%	10 May →
mirage	13–6	0.00	14%	10 May →
nuke	13–8	-0.01	14%	10 May →
cache	12–12	-0.01	17%	10 May →
mirage	9–13	-0.06	8%	9 May →
inferno	13–4	0.00	33%	9 May →