Rakshasa — CS2 Stats

EG76561198828865613[U:1:868599885]Steam profile ↗✓ No bans

733Tracked matches47%Win rate2020Tracked since

CSDB Rating3.0 Learning

Premier CS Rating11,182Blue band · top ~48.6% of ranked players (population est.)

CSDB Leaderboard#19666 of 27535 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim33

Positioning37

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateLWLWLLLLWW

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

Player DNA

Aim3.3

Aggression5.4

Utility4.4

Positioning3.7

Opening Duels1.3

Clutch4.6

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 77% 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

Reaction time. 656ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.3

Positioning3.7

Utility4.4

Mechanics2.0

Opening Duels1.3

Win Impact3.9

Composite 3.0/10 (Learning), 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 rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time652ms−1ms

first ⅓ avg 654ms → last ⅓ avg 652ms

Headshot accuracy16.0%−0.5%

first ⅓ avg 16.5% → last ⅓ avg 16.0%

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

0.17Best rating — mirage 13–3

13–0Biggest win — dust2

6Longest win streak

4–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 55% over 29nukeWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	29	16–13	55%	-0.01
mirage	B	28	14–14	50%	-0.01
inferno	D	14	4–10	29%	-0.03
nuke	D	11	3–8	27%	-0.03
ancient	B	8	4–4	50%	-0.02
anubis	C	7	3–4	43%	-0.02
overpass	—	2	1–1	50%	-0.01
cache	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

135Matches

55%Win rate

0.87Avg K/D

64.8ADR

38%Headshot %

Clutches & streaks

43%1v1 clutch win

13%1v2 clutch win

12Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	37	62%	0.92	10.8
Dust2	17	65%	1.03	11.9
Inferno	16	75%	0.91	12.4
Anubis	12	58%	0.79	12.4
Ancient	7	0%	0.64	10.7
Nuke	3	33%	0.60	8.3
Overpass	1	100%	0.76	16.0
Cache	1	0%	0.54	13.0

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.

15.8%Headshot accuracy

31.0%Accuracy (enemy spotted)

38.7%Spray accuracy

58.9%Counter-strafing

11.8°Preaim

656msReaction time

32.6%T opening success

37.9%CT opening success

0.50Enemies flashed / flash

3.2%Flash assists

12.28HE damage / grenade

5.41Flashes / 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 0.4951 — 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 32.6009% — 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.

27% win rate across 11 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
nuke	9–13	-0.00	13%	19 Aug →
nuke	13–8	-0.00	16%	18 Aug →
nuke	10–13	-0.04	20%	18 Aug →
dust2	13–3	0.03	31%	15 Aug →
dust2	5–13	-0.06	12%	15 Aug →
ancient	10–13	0.01	12%	14 Aug →
mirage	2–13	-0.09	18%	14 Aug →
inferno	5–13	-0.03	21%	14 Aug →
mirage	16–12	0.06	18%	14 Aug →
dust2	13–4	-0.04	21%	14 Aug →
dust2	10–13	-0.02	9%	14 Aug →
inferno	6–13	0.00	24%	13 Aug →
ancient	13–5	0.02	20%	13 Aug →
dust2	3–13	-0.01	13%	13 Aug →
dust2	9–13	0.03	18%	12 Aug →
mirage	13–10	-0.01	6%	11 Aug →
nuke	7–4	-0.03	5%	11 Aug →
mirage	13–2	0.02	27%	11 Aug →
dust2	11–13	-0.03	13%	11 Aug →
nuke	13–4	0.10	19%	11 Aug →
mirage	11–13	0.02	11%	15 Jun →
mirage	10–13	-0.03	11%	15 Jun →
mirage	8–13	-0.07	8%	15 Jun →
mirage	13–2	0.00	3%	15 Jun →
inferno	9–6	-0.03	17%	9 Jun →
nuke	3–9	-0.05	20%	9 Jun →
mirage	9–13	-0.06	14%	7 Jun →
mirage	13–8	-0.02	18%	7 Jun →
inferno	13–9	-0.01	21%	7 Jun →
inferno	10–13	-0.03	21%	6 Jun →
dust2	13–9	-0.02	24%	6 Jun →
inferno	13–8	-0.02	9%	6 Jun →
dust2	7–13	0.01	17%	5 Jun →
dust2	13–11	0.02	19%	5 Jun →
ancient	13–6	0.04	12%	5 Jun →
mirage	13–9	0.04	12%	4 Jun →
dust2	10–13	-0.00	17%	3 Jun →
nuke	15–15	-0.05	10%	2 Jun →
dust2	13–4	0.05	25%	2 Jun →
dust2	12–12	0.01	14%	2 Jun →
anubis	9–13	-0.04	8%	2 Jun →
dust2	6–13	-0.05	21%	1 Jun →
dust2	13–7	0.01	15%	1 Jun →
mirage	3–13	-0.03	11%	1 Jun →
anubis	13–9	-0.05	16%	26 May →
ancient	13–3	0.01	7%	22 May →
mirage	6–13	-0.01	13%	19 May →
nuke	15–15	-0.02	19%	19 May →
dust2	13–7	-0.00	8%	18 May →
dust2	13–8	-0.06	10%	18 May →
inferno	7–13	0.01	18%	16 May →
dust2	10–13	0.01	30%	16 May →
mirage	8–13	-0.06	8%	14 May →
inferno	15–15	-0.02	12%	13 May →
mirage	13–10	0.06	31%	12 May →
nuke	9–13	-0.01	17%	5 May →
ancient	4–13	-0.12	13%	4 May →
dust2	13–3	-0.03	6%	4 May →
inferno	11–13	0.03	19%	4 May →
cache	6–13	-0.05	12%	30 Apr →
anubis	13–5	0.05	13%	30 Apr →
mirage	11–13	-0.02	7%	24 Apr →
overpass	10–13	-0.04	13%	24 Apr →
mirage	5–13	-0.10	9%	21 Apr →
dust2	13–10	-0.02	11%	20 Apr →
dust2	13–8	0.02	16%	18 Apr →
inferno	3–13	-0.12	9%	14 Apr →
dust2	9–13	-0.02	21%	13 Apr →
dust2	13–11	-0.07	12%	9 Apr →
mirage	13–3	0.17	32%	9 Apr →
mirage	13–6	-0.06	6%	7 Apr →
inferno	13–5	-0.05	21%	31 Mar →
dust2	13–0	0.08	18%	30 Mar →
overpass	13–3	0.03	9%	26 Mar →
anubis	6–13	-0.06	75%	26 Mar →
mirage	8–13	-0.03	7%	26 Mar →
anubis	8–13	-0.00	12%	26 Mar →
inferno	6–9	-0.04	27%	26 Mar →
dust2	13–8	0.01	10%	26 Mar →
mirage	13–5	0.13	16%	26 Mar →
inferno	9–13	-0.09	12%	25 Mar →
mirage	7–13	-0.09	13%	25 Mar →
inferno	8–13	-0.00	8%	23 Mar →
mirage	3–13	0.04	6%	23 Mar →
dust2	9–13	-0.03	17%	19 Mar →
ancient	2–13	-0.10	6%	19 Mar →
mirage	13–9	-0.07	24%	19 Mar →
dust2	9–13	-0.03	19%	18 Mar →
ancient	13–7	0.00	16%	18 Mar →
mirage	13–11	0.02	16%	17 Mar →
nuke	3–9	-0.21	13%	16 Mar →
anubis	14–16	-0.09	20%	14 Mar →
dust2	13–2	-0.05	7%	14 Mar →
ancient	8–13	-0.06	22%	14 Mar →
mirage	13–11	-0.03	9%	14 Mar →
dust2	13–9	0.04	15%	14 Mar →
anubis	13–3	0.08	10%	12 Mar →
mirage	11–13	-0.02	10%	11 Mar →
mirage	13–7	0.03	20%	9 Mar →
nuke	10–13	-0.02	18%	9 Mar →