ociriz — CS2 Stats

FI76561197963472628[U:1:3206900]Steam profile ↗✓ No bans

3,259Tracked matches40%Win rate2020Tracked since

5,110Hours in CS

CSDB Rating7.4 StrongAggressive Rifler

FaceitLevel 10 · 3,254 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	64.1%	52.8%
Shot accuracy	12.1%	13.7%
Kill/death ratio	1.24	1.08
Match win rate	49.9%	49.2%

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim93

Positioning65

Utility71

0–100 skill scores via Leetify.

Recent form

COLD45–53–2Last 10045%Win rateWLLWLLLLLW

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

Player DNA

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

Aim9.3

Aggression10.0

Utility7.1

Positioning6.5

Opening Duels5.2

Clutch4.0

Sharp aimer

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 ZywOo 95% playstyle similarity

Most alike: utility contribution, positioning 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

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

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

Aim9.3

Positioning6.5

Utility7.1

Mechanics8.3

Opening Duels5.2

Win Impact1.7

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.04

first ⅓ avg 0.06 → last ⅓ avg 0.02

Reaction time488ms−38ms

first ⅓ avg 526ms → last ⅓ avg 488ms

Headshot accuracy24.8%−0.4%

first ⅓ avg 25.3% → last ⅓ avg 24.8%

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

0.25Best rating — inferno 13–7

13–0Biggest win — anubis

5Longest win streak

10–10In matches decided by ≤2 rounds

15Overtime games

Map breakdown

anubisBest map · 78% over 9cacheWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	13–15	46%	0.05
nuke	C	18	7–11	39%	0.03
inferno	C	17	7–10	41%	0.04
ancient	B	11	5–6	45%	0.05
cache	D	9	3–6	33%	0.01
anubis	S	9	7–2	78%	0.03
mirage	B	6	3–3	50%	0.04
overpass	—	1	0–1	0%	0.15
train	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Lifetime stats

354,076Lifetime kills

1.24K/D · Top 25% of Level 10 players

9,518Matches

49.9%Match win rate · Top 50% of Level 10 players

64.1%Headshot % · Top 25% of Level 10 players

12.1%Shot accuracy

25,447MVPs

5,110Hours (in match)

11,410Bombs planted

3,138Bombs defused

Most-used weapons

AK-47164,246

M4A4 / M4A1-S38,754

P2000 / USP-S29,212

AWP27,124

Desert Eagle23,277

Glock-1811,151

P2508,418

Galil AR6,232

FAMAS5,936

SSG 085,022

Lifetime map wins

17,309dust2

11,898inferno

8,973nuke

7,456train

1,783cbble

636vertigo

272shorttrain

157italy

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

Faceit stats

Combat

3,224Matches

56%Win rate

1.15Avg K/D

82.7ADR

51%Headshot %

Clutches & streaks

40%1v1 clutch win

23%1v2 clutch win

20Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	334	53%	1.20	17.5
Nuke	243	58%	1.15	16.5
Mirage	242	46%	1.07	15.4
Anubis	224	54%	1.14	16.5
Ancient	214	52%	1.10	16.6
Inferno	200	54%	1.14	16.2
Train	160	66%	1.31	17.8
Overpass	102	68%	1.20	17.6

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.

25.0%Headshot accuracy

36.7%Accuracy (enemy spotted)

38.8%Spray accuracy

87.5%Counter-strafing

7.2°Preaim

488msReaction time

48.2%T opening success

53.4%CT opening success

0.67Enemies flashed / flash

8.4%Flash assists

9.62HE damage / grenade

14.66Flashes / match

Recommended for you

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	16–13	0.10	27%	26 Aug →
inferno	5–13	-0.05	40%	24 Aug →
mirage	10–13	0.01	15%	20 Aug →
dust2	13–8	0.07	28%	17 Aug →
inferno	11–13	0.01	34%	17 Aug →
inferno	10–13	-0.04	20%	8 Aug →
inferno	2–13	-0.02	21%	1 Aug →
nuke	5–13	0.04	29%	1 Aug →
cache	4–13	-0.02	26%	28 Jul →
dust2	13–1	0.04	18%	28 Jul →
nuke	4–7	-0.04	27%	28 Jul →
mirage	13–5	0.01	22%	27 Jul →
dust2	9–13	-0.04	24%	27 Jul →
dust2	13–1	0.16	21%	25 Jul →
nuke	10–13	0.04	24%	25 Jul →
inferno	13–11	0.04	15%	16 Jul →
ancient	11–13	-0.04	14%	16 Jul →
anubis	13–11	-0.01	28%	14 Jul →
dust2	13–10	0.04	47%	14 Jul →
nuke	3–2	0.00	33%	14 Jul →
ancient	12–2	0.11	43%	14 Jul →
nuke	13–16	0.03	19%	10 Jul →
cache	17–19	0.01	29%	8 Jul →
ancient	13–10	0.11	33%	8 Jul →
dust2	4–13	-0.01	28%	8 Jul →
inferno	10–13	0.00	14%	8 Jul →
mirage	8–13	0.01	17%	6 Jul →
inferno	16–14	0.02	22%	5 Jul →
dust2	3–13	-0.06	25%	5 Jul →
cache	5–13	-0.02	17%	5 Jul →
anubis	13–5	0.04	13%	30 Jun →
dust2	11–13	0.02	14%	30 Jun →
ancient	8–13	0.02	31%	26 Jun →
nuke	13–10	0.08	24%	26 Jun →
nuke	13–8	0.03	22%	24 Jun →
nuke	13–5	0.08	25%	24 Jun →
dust2	13–11	0.18	36%	23 Jun →
nuke	5–13	-0.08	25%	22 Jun →
ancient	6–13	0.06	27%	22 Jun →
dust2	9–13	0.04	31%	22 Jun →
dust2	14–16	-0.01	27%	13 Jun →
inferno	9–13	0.02	26%	13 Jun →
dust2	16–14	0.07	20%	13 Jun →
cache	9–13	0.02	33%	13 Jun →
anubis	10–13	-0.01	12%	13 Jun →
cache	13–5	0.03	15%	13 Jun →
anubis	13–6	-0.00	18%	13 Jun →
nuke	11–13	0.03	13%	13 Jun →
anubis	13–9	0.02	16%	13 Jun →
anubis	4–13	0.02	28%	8 Jun →
ancient	13–3	0.12	35%	8 Jun →
dust2	6–13	-0.03	42%	8 Jun →
dust2	13–9	-0.01	26%	6 Jun →
dust2	15–15	-0.01	27%	6 Jun →
cache	13–11	0.02	32%	6 Jun →
dust2	13–6	0.03	18%	6 Jun →
nuke	8–13	-0.04	17%	5 Jun →
dust2	16–12	0.12	20%	25 May →
nuke	13–5	0.03	24%	24 May →
inferno	13–7	0.25	22%	24 May →
ancient	16–19	0.04	28%	23 May →
cache	13–16	0.03	23%	21 May →
dust2	13–8	0.18	24%	21 May →
mirage	1–7	0.05	23%	21 May →
ancient	6–13	0.02	20%	21 May →
ancient	13–11	0.01	16%	19 May →
ancient	8–13	0.06	22%	18 May →
cache	13–16	0.04	20%	18 May →
dust2	13–2	0.16	36%	18 May →
overpass	9–13	0.15	19%	18 May →
anubis	13–0	0.19	41%	15 May →
anubis	13–11	-0.00	31%	13 May →
dust2	11–13	0.05	16%	11 May →
cache	13–9	0.01	33%	11 May →
mirage	13–5	0.01	31%	11 May →
nuke	13–10	-0.01	24%	5 May →
anubis	13–8	0.01	20%	4 May →
inferno	13–9	0.03	17%	4 May →
dust2	2–13	-0.04	24%	4 May →
nuke	9–6	0.01	11%	26 Apr →
train	8–13	0.06	26%	26 Apr →
dust2	9–13	0.04	16%	21 Apr →
ancient	16–12	0.09	21%	21 Apr →
inferno	6–13	0.15	22%	21 Apr →
nuke	10–13	0.02	20%	20 Apr →
dust2	7–13	0.09	32%	20 Apr →
dust2	11–13	0.06	35%	20 Apr →
mirage	19–17	0.14	30%	20 Apr →
dust2	13–9	0.03	21%	19 Apr →
inferno	9–13	-0.02	29%	19 Apr →
inferno	4–13	0.00	21%	16 Apr →
nuke	10–13	0.15	23%	16 Apr →
dust2	16–13	0.06	19%	16 Apr →
inferno	13–10	0.03	22%	13 Apr →
dust2	11–13	0.09	21%	13 Apr →
nuke	15–15	0.09	24%	11 Apr →
inferno	11–13	0.05	25%	11 Apr →
dust2	3–13	0.03	26%	9 Apr →
nuke	8–13	0.02	36%	9 Apr →
inferno	13–6	0.12	43%	8 Apr →