Rijaxi — CS2 Stats

76561198148686113[U:1:188420385]Steam profile ↗✓ No bans

1,233Tracked matches43%Win rate2021Tracked since

CSDB Rating3.3 Learning

Premier CS Rating12,086Blue band · top ~43.8% of ranked players (population est.)

CSDB Leaderboard#18101 of 25836 tracked

FaceitLevel 3 · 847 ELOTop 90.6% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim41

Positioning36

Utility27

0–100 skill scores via Leetify.

Recent form

COLD36–61–3Last 10036%Win rateLWLLLLLWLW

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

Player DNA

Aim4.1

Aggression3.0

Utility2.7

Positioning3.6

Opening Duels0.0

Clutch0.6

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 70% playstyle similarity

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

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. 693ms 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

Aim4.1

Positioning3.6

Utility2.7

Mechanics5.7

Opening Duels0.0

Win Impact2.8

Composite 3.3/10 (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-0.05−0.02

first ⅓ avg -0.03 → last ⅓ avg -0.05

Reaction time699ms−12ms

first ⅓ avg 711ms → last ⅓ avg 699ms

Headshot accuracy14.7%+3.7%

first ⅓ avg 11.0% → last ⅓ avg 14.7%

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

0.07Best rating — inferno 13–3

13–3Biggest win — inferno

6Longest win streak

11–10In matches decided by ≤2 rounds

11Overtime games

Map breakdown

cacheBest map · 57% over 7dust2Weakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	24	8–16	33%	-0.04
inferno	C	17	6–11	35%	-0.04
ancient	C	14	5–9	36%	-0.04
dust2	D	14	4–10	29%	-0.04
anubis	B	12	6–6	50%	-0.04
nuke	C	8	3–5	38%	-0.05
cache	A	7	4–3	57%	-0.05
shelter	—	1	0–1	0%	-0.11
fachwerk	—	1	0–1	0%	-0.06
train	—	1	0–1	0%	-0.04
overpass	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

179Matches

44%Win rate

0.64Avg K/D

60.9ADR

39%Headshot %

Clutches & streaks

23%1v1 clutch win

15%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	60	50%	0.63	10.6
Ancient	33	33%	0.65	11.0
Dust2	32	53%	0.71	10.8
Inferno	22	32%	0.63	10.6
Anubis	19	37%	0.55	9.4
Nuke	8	62%	0.67	11.3
Cache	3	67%	0.49	8.7
Train	1	0%	1.29	18.0

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.

14.6%Headshot accuracy

30.0%Accuracy (enemy spotted)

33.6%Spray accuracy

75.7%Counter-strafing

10.0°Preaim

693msReaction time

29.7%T opening success

27.6%CT opening success

0.41Enemies flashed / flash

1.1%Flash assists

7.64HE damage / grenade

2.33Flashes / 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.

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 14.6349% — 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 0.4066 — 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 29.6737% — below the 40% mark we flag

Spend your practice time on Dust 2

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 14 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	14–16	-0.12	12%	26 Aug →
nuke	13–7	-0.07	23%	26 Aug →
ancient	4–13	-0.03	15%	23 Aug →
dust2	4–13	-0.08	11%	23 Aug →
ancient	8–13	-0.02	19%	23 Aug →
dust2	6–13	-0.09	19%	22 Aug →
mirage	3–13	-0.04	17%	22 Aug →
ancient	13–11	-0.00	9%	18 Aug →
mirage	7–13	-0.04	11%	18 Aug →
nuke	13–11	-0.04	8%	18 Aug →
mirage	3–13	-0.04	10%	18 Aug →
mirage	8–13	-0.04	16%	17 Aug →
mirage	3–13	-0.06	23%	17 Aug →
ancient	13–10	-0.04	14%	17 Aug →
inferno	2–13	-0.03	15%	17 Aug →
dust2	2–13	-0.07	18%	17 Aug →
anubis	16–14	0.00	7%	17 Aug →
cache	3–13	-0.05	19%	17 Aug →
ancient	11–13	-0.07	6%	17 Aug →
inferno	11–13	0.01	22%	11 Aug →
mirage	5–13	-0.10	29%	11 Aug →
inferno	13–9	-0.04	23%	5 Aug →
mirage	13–6	-0.07	4%	5 Aug →
dust2	13–6	0.00	19%	5 Aug →
anubis	13–7	-0.08	18%	4 Aug →
inferno	13–11	-0.04	5%	4 Aug →
inferno	13–11	-0.05	15%	4 Aug →
cache	3–13	-0.08	13%	17 Jul →
dust2	13–8	-0.00	17%	17 Jul →
cache	13–9	-0.04	16%	17 Jul →
nuke	11–13	-0.02	9%	16 Jul →
anubis	9–13	-0.04	17%	16 Jul →
ancient	3–13	-0.08	8%	16 Jul →
cache	16–14	-0.04	6%	15 Jul →
anubis	13–11	-0.00	6%	15 Jul →
dust2	6–13	-0.03	26%	15 Jul →
anubis	13–4	-0.04	14%	14 Jul →
dust2	13–11	-0.05	16%	14 Jul →
mirage	7–13	-0.11	17%	14 Jul →
nuke	13–9	-0.06	13%	13 Jul →
anubis	13–16	-0.05	22%	13 Jul →
shelter	5–13	-0.11	9%	13 Jul →
fachwerk	4–13	-0.06	7%	13 Jul →
mirage	13–9	-0.04	17%	8 Jul →
mirage	14–16	-0.05	22%	8 Jul →
cache	8–13	-0.06	21%	7 Jul →
anubis	10–13	-0.08	18%	7 Jul →
cache	13–8	-0.07	10%	7 Jul →
dust2	4–13	-0.01	13%	6 Jul →
inferno	10–13	-0.01	8%	6 Jul →
cache	16–13	-0.02	21%	6 Jul →
ancient	10–13	-0.05	12%	6 Jul →
inferno	13–6	-0.04	20%	6 Jul →
mirage	13–9	-0.04	13%	1 Jul →
anubis	4–13	-0.04	12%	1 Jul →
inferno	11–13	-0.02	12%	1 Jul →
mirage	13–4	0.04	14%	1 Jul →
inferno	15–15	-0.00	12%	30 Jun →
ancient	7–13	-0.06	21%	30 Jun →
nuke	7–13	-0.08	12%	30 Jun →
ancient	11–13	-0.07	16%	30 Jun →
inferno	7–13	-0.10	4%	11 Jun →
mirage	13–9	-0.03	9%	11 Jun →
ancient	5–13	-0.02	9%	11 Jun →
mirage	8–13	-0.11	0%	23 May →
ancient	13–11	-0.06	11%	23 May →
anubis	13–11	-0.00	12%	23 May →
ancient	13–5	0.03	13%	23 May →
nuke	9–13	-0.00	20%	18 Apr →
ancient	11–13	-0.06	7%	18 Apr →
mirage	13–6	-0.04	10%	18 Apr →
inferno	13–3	0.07	11%	18 Apr →
mirage	4–13	-0.05	5%	26 Mar →
mirage	6–13	-0.02	12%	26 Mar →
inferno	14–16	0.02	7%	26 Mar →
dust2	10–13	-0.05	16%	26 Mar →
mirage	13–7	0.05	12%	24 Mar →
dust2	10–13	-0.05	10%	24 Mar →
dust2	9–13	0.00	13%	24 Feb →
dust2	13–4	0.01	19%	22 Feb →
mirage	10–13	-0.07	5%	8 Feb →
dust2	6–13	-0.04	27%	8 Feb →
inferno	3–13	-0.08	16%	8 Feb →
nuke	10–13	-0.06	10%	5 Feb →
ancient	13–7	0.02	20%	5 Feb →
anubis	6–13	-0.04	0%	5 Feb →
inferno	16–12	-0.07	16%	5 Feb →
mirage	13–8	0.02	5%	5 Feb →
mirage	11–13	-0.01	7%	23 Jan →
anubis	13–11	-0.02	9%	23 Jan →
inferno	7–13	-0.05	6%	23 Jan →
train	3–13	-0.04	8%	23 Jan →
inferno	5–13	-0.11	11%	15 Jan →
overpass	15–15	-0.07	9%	14 Jan →
mirage	4–13	0.01	15%	1 Jan →
nuke	7–13	-0.05	6%	1 Jan →
dust2	9–13	-0.03	5%	31 Dec →
inferno	6–13	-0.09	9%	31 Dec →
mirage	15–15	-0.02	17%	31 Dec →
mirage	5–13	-0.06	11%	30 Dec →