Rizen — CS2 Stats

US76561198166886471[U:1:206620743]Steam profile ↗

891Tracked matches50%Win rate2023Tracked since

980Hours in CS16Hrs last 2 wks

CSDB Rating6.9 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim81

Positioning68

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY50–41–9Last 10050%Win rateWWWWLLLLTW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.1

Aggression9.4

Utility5.5

Positioning6.8

Opening Duels5.9

Clutch0.0

Strong CT-side opener

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 sh1ro 92% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: higher opening-duel success; 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

Strengths

CT openings. 71% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 71% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms 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

Aim8.1

Positioning6.8

Utility5.5

Mechanics7.9

Opening Duels5.8

Win Impact5.0

Composite 6.9/10 (Solid), 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 rating0.05+0.01

first ⅓ avg 0.05 → last ⅓ avg 0.05

Reaction time574ms−30ms

first ⅓ avg 604ms → last ⅓ avg 574ms

Headshot accuracy23.9%−1.0%

first ⅓ avg 24.9% → last ⅓ avg 23.9%

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

0.21Best rating — vertigo 13–2

13–1Biggest win — nuke

5Longest win streak

W4Current streak

6–6In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 77% over 13dust2Weakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	31	15–16	48%	0.04
dust2	C	16	6–10	38%	0.04
mirage	S	13	10–3	77%	0.06
inferno	A	10	6–4	60%	0.04
ancient	C	9	4–5	44%	0.05
nuke	C	8	3–5	38%	0.00
train	B	6	3–3	50%	0.03
anubis	C	5	2–3	40%	0.05
vertigo	—	2	1–1	50%	0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,781Lifetime kills

1.25K/D · Top 25% of tracked players

1,785Matches

38.3%Match win rate

48.0%Headshot % · Top 50% of tracked players

6.1%Shot accuracy

3,967MVPs

687Hours (in match)

1,326Bombs planted

511Bombs defused

Most-used weapons

AK-4714,983

M4A4 / M4A1-S5,438

AWP4,941

P2000 / USP-S1,766

Desert Eagle1,650

Glock-181,393

Galil AR1,104

MP9802

MAC-10508

FAMAS469

Lifetime map wins

2,451dust2

1,656inferno

1,284nuke

1,140vertigo

843train

95office

40italy

33cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

6Matches

83%Win rate

1.19Avg K/D

74.4ADR

54%Headshot %

Clutches & streaks

0%1v1 clutch win

14%1v2 clutch win

3Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	1	100%	1.00	13.0
Vertigo	1	100%	2.44	22.0
Ancient	1	100%	1.19	19.0
Anubis	1	100%	1.07	16.0
Dust2	1	0%	0.50	7.0
Mirage	1	100%	0.94	16.0

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.

24.1%Headshot accuracy

36.6%Accuracy (enemy spotted)

33.8%Spray accuracy

85.6%Counter-strafing

10.0°Preaim

571msReaction time

36.0%T opening success

71.4%CT opening success

0.62Enemies flashed / flash

8.6%Flash assists

5.27HE damage / grenade

12.67Flashes / 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.

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 36.014% — 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.

38% win rate across 16 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
ancient	13–11	0.09	28%	29 Aug →
mirage	13–7	-0.01	16%	29 Aug →
inferno	13–6	0.07	13%	27 Aug →
train	13–2	0.05	13%	27 Aug →
dust2	9–13	0.04	37%	27 Aug →
anubis	7–13	0.05	19%	25 Aug →
ancient	6–13	0.02	18%	25 Aug →
inferno	7–9	0.01	23%	22 Aug →
cache	12–12	-0.00	24%	22 Aug →
mirage	13–6	0.13	28%	22 Aug →
anubis	13–4	-0.05	34%	22 Aug →
ancient	13–10	-0.00	18%	22 Aug →
dust2	8–13	0.06	43%	21 Aug →
cache	9–13	0.09	28%	17 Aug →
anubis	13–4	0.14	34%	17 Aug →
dust2	13–11	0.05	25%	17 Aug →
ancient	13–10	0.10	31%	5 Aug →
inferno	13–7	0.08	25%	3 Aug →
mirage	13–9	0.17	18%	3 Aug →
inferno	4–13	-0.01	16%	1 Aug →
mirage	5–13	-0.00	21%	1 Aug →
dust2	7–13	-0.06	21%	1 Aug →
vertigo	12–12	-0.03	10%	29 Jul →
dust2	3–13	0.01	27%	29 Jul →
nuke	3–13	0.03	29%	29 Jul →
train	13–9	0.05	16%	26 Jul →
ancient	7–13	0.05	25%	26 Jul →
anubis	5–13	0.06	32%	26 Jul →
dust2	13–6	0.14	28%	26 Jul →
nuke	11–13	0.08	29%	26 Jul →
nuke	2–13	-0.02	14%	22 Jul →
dust2	7–13	0.11	16%	22 Jul →
vertigo	13–2	0.21	30%	21 Jul →
dust2	11–13	0.07	42%	20 Jul →
cache	12–12	0.04	28%	19 Jul →
inferno	7–13	0.00	40%	19 Jul →
cache	12–12	0.05	21%	19 Jul →
mirage	13–3	0.03	25%	19 Jul →
ancient	8–13	0.06	28%	19 Jul →
nuke	3–13	-0.07	17%	19 Jul →
cache	13–10	0.07	23%	19 Jul →
cache	13–8	0.09	28%	16 Jul →
anubis	4–13	0.04	26%	16 Jul →
cache	11–13	-0.04	11%	11 Jul →
mirage	13–10	0.07	17%	11 Jul →
dust2	13–9	0.00	28%	11 Jul →
inferno	13–8	0.11	21%	5 Jul →
dust2	4–13	0.03	29%	5 Jul →
cache	13–4	-0.00	23%	5 Jul →
train	13–5	-0.00	10%	5 Jul →
mirage	13–6	-0.03	10%	5 Jul →
nuke	8–13	-0.01	17%	5 Jul →
train	9–13	0.06	18%	5 Jul →
dust2	6–13	0.09	29%	5 Jul →
mirage	13–4	0.06	21%	5 Jul →
cache	5–13	0.02	13%	4 Jul →
nuke	13–9	0.01	18%	4 Jul →
ancient	13–6	0.06	20%	4 Jul →
inferno	9–2	0.01	57%	4 Jul →
mirage	12–12	0.08	23%	4 Jul →
inferno	10–3	0.05	15%	4 Jul →
cache	13–10	0.13	29%	4 Jul →
nuke	13–1	-0.04	10%	4 Jul →
ancient	12–12	0.05	25%	13 Jun →
dust2	7–13	-0.01	30%	13 Jun →
cache	6–13	0.07	21%	13 Jun →
dust2	7–13	0.00	20%	26 May →
dust2	13–6	0.03	23%	24 May →
cache	9–13	0.03	21%	24 May →
dust2	13–5	0.07	26%	23 May →
cache	12–12	-0.03	24%	23 May →
cache	13–4	0.10	28%	23 May →
cache	13–9	0.11	43%	18 May →
cache	13–5	0.09	17%	17 May →
inferno	11–13	0.00	13%	17 May →
cache	13–4	0.06	24%	17 May →
cache	4–13	0.00	41%	16 May →
cache	5–13	0.05	28%	16 May →
mirage	13–11	0.15	28%	12 May →
cache	13–10	-0.02	23%	12 May →
cache	5–13	-0.03	33%	12 May →
cache	13–11	0.05	20%	11 May →
cache	13–11	0.05	22%	11 May →
cache	3–13	0.05	27%	7 May →
cache	13–4	0.04	38%	7 May →
cache	13–6	0.06	24%	4 May →
train	12–12	0.05	16%	4 May →
dust2	13–6	0.01	21%	4 May →
cache	13–5	0.00	22%	4 May →
cache	6–10	0.04	20%	3 May →
cache	12–12	0.08	17%	29 Apr →
cache	9–13	0.09	20%	29 Apr →
cache	13–10	0.06	14%	29 Apr →
ancient	10–13	0.05	37%	27 Apr →
mirage	13–4	0.04	40%	27 Apr →
inferno	13–11	0.07	35%	27 Apr →
mirage	13–6	0.02	14%	25 Apr →
mirage	7–9	0.08	28%	25 Apr →
train	6–13	-0.00	18%	25 Apr →
nuke	13–6	0.05	15%	25 Apr →