Oguri — CS2 Stats

KR76561198119092725[U:1:158826997]Steam profile ↗✓ No bans

534Tracked matches63%Win rate2025Tracked since

492Hours in CS

CSDB Rating6.4 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim63

Positioning61

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY61–37–2Last 10061%Win rateLLWWWLWWLW

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.3

Aggression9.5

Utility6.7

Positioning6.1

Opening Duels5.6

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 device 89% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: 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. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 64% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 633ms 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

Aim6.3

Positioning6.1

Utility6.7

Mechanics5.4

Opening Duels5.6

Win Impact9.4

Composite 6.4/10 (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 rating0.03−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time630ms+26ms

first ⅓ avg 604ms → last ⅓ avg 630ms

Headshot accuracy26.7%+3.7%

first ⅓ avg 23.0% → last ⅓ avg 26.7%

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

0.17Best rating — nuke 10–13

13–1Biggest win — inferno

7Longest win streak

L2Current streak

7–7In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 79% over 14cacheWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	20	10–10	50%	0.02
nuke	S	17	12–5	71%	0.05
ancient	S	16	11–5	69%	0.04
train	B	15	8–7	53%	0.04
inferno	S	14	11–3	79%	0.04
mirage	A	9	5–4	56%	0.03
cache	D	6	2–4	33%	0.02
anubis	—	2	2–0	100%	-0.01
overpass	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Lifetime stats

24,647Lifetime kills

1.39K/D · Top 10% of tracked players

1,148Matches

57.2%Match win rate · Top 5% of tracked players

44.5%Headshot %

8.4%Shot accuracy

3,578MVPs

492Hours (in match)

1,736Bombs planted

312Bombs defused

Most-used weapons

AK-477,020

M4A4 / M4A1-S4,760

AWP4,184

Glock-181,149

Tec-91,021

P2000 / USP-S959

Desert Eagle840

MP9678

Five-SeveN660

Galil AR568

Lifetime map wins

3,938dust2

2,303inferno

1,382nuke

831train

119cbble

4italy

1office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

26.7%Headshot accuracy

33.0%Accuracy (enemy spotted)

37.2%Spray accuracy

74.5%Counter-strafing

12.1°Preaim

633msReaction time

41.2%T opening success

63.7%CT opening success

0.59Enemies flashed / flash

5.6%Flash assists

9.89HE damage / grenade

20.18Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.1407° — above the 12° mark we flag
Aim Training →

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

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	3–13	0.02	13%	26 Aug →
dust2	10–13	-0.05	24%	25 Aug →
ancient	13–3	0.03	22%	25 Aug →
mirage	7–1	-0.03	56%	25 Aug →
inferno	13–7	0.12	23%	17 Aug →
train	6–13	0.03	21%	16 Aug →
train	13–2	0.12	21%	16 Aug →
dust2	13–6	0.08	24%	15 Aug →
nuke	6–13	0.07	33%	9 Aug →
inferno	11–3	-0.01	9%	8 Aug →
nuke	13–11	0.01	30%	8 Aug →
inferno	8–13	-0.06	11%	3 Aug →
dust2	13–10	-0.00	38%	2 Aug →
nuke	10–13	0.03	20%	2 Aug →
nuke	13–8	0.14	32%	30 Jul →
dust2	11–13	-0.01	25%	30 Jul →
cache	3–13	-0.07	28%	26 Jul →
mirage	6–13	0.02	19%	26 Jul →
ancient	13–3	0.04	22%	26 Jul →
nuke	13–8	0.04	40%	26 Jul →
dust2	13–8	0.00	31%	26 Jul →
nuke	13–10	0.08	30%	24 Jul →
nuke	13–11	0.02	36%	23 Jul →
ancient	7–13	-0.01	37%	23 Jul →
inferno	13–9	0.01	29%	23 Jul →
ancient	13–7	0.02	17%	20 Jul →
nuke	13–8	0.05	27%	20 Jul →
train	13–9	0.03	30%	20 Jul →
train	13–8	-0.05	28%	20 Jul →
mirage	9–13	0.06	27%	20 Jul →
inferno	13–4	0.03	22%	20 Jul →
nuke	8–13	0.04	25%	20 Jul →
dust2	13–9	0.01	32%	20 Jul →
train	10–13	0.06	24%	19 Jul →
inferno	13–9	0.13	31%	19 Jul →
dust2	5–13	-0.03	26%	19 Jul →
nuke	10–13	0.17	34%	19 Jul →
ancient	13–10	0.00	17%	19 Jul →
ancient	11–13	-0.01	23%	19 Jul →
nuke	13–8	0.01	29%	19 Jul →
train	0–8	-0.06	17%	18 Jul →
inferno	13–8	0.01	26%	18 Jul →
nuke	13–2	0.04	23%	18 Jul →
dust2	10–13	-0.09	24%	18 Jul →
train	11–13	-0.00	33%	18 Jul →
inferno	4–13	0.01	46%	15 Jul →
dust2	13–11	-0.05	25%	15 Jul →
anubis	13–7	-0.05	25%	14 Jul →
dust2	13–6	0.10	27%	14 Jul →
mirage	7–4	0.00	27%	14 Jul →
mirage	7–13	0.02	20%	13 Jul →
cache	13–6	-0.00	7%	13 Jul →
dust2	13–11	0.09	16%	13 Jul →
train	13–6	0.10	19%	13 Jul →
cache	5–13	-0.00	32%	13 Jul →
train	11–13	0.05	23%	13 Jul →
train	5–0	-0.03	14%	13 Jul →
dust2	13–4	0.16	17%	13 Jul →
inferno	13–11	0.03	26%	13 Jul →
cache	6–13	-0.02	31%	13 Jul →
dust2	13–16	-0.08	7%	12 Jul →
ancient	13–11	0.01	29%	11 Jul →
ancient	13–9	0.16	25%	10 Jul →
train	13–2	0.16	27%	10 Jul →
dust2	7–13	0.11	33%	10 Jul →
nuke	13–9	0.08	30%	10 Jul →
anubis	16–13	0.03	18%	10 Jul →
cache	12–12	0.13	20%	10 Jul →
inferno	13–1	-0.01	16%	10 Jul →
train	13–5	0.00	22%	9 Jul →
nuke	13–4	-0.00	30%	9 Jul →
dust2	13–5	0.09	24%	9 Jul →
ancient	13–9	0.06	9%	9 Jul →
cache	13–8	0.11	31%	9 Jul →
mirage	13–10	0.10	20%	9 Jul →
dust2	3–13	-0.00	31%	9 Jul →
nuke	13–8	0.03	29%	9 Jul →
train	13–6	-0.04	21%	7 Jul →
dust2	8–13	0.01	26%	7 Jul →
ancient	10–13	0.00	25%	7 Jul →
nuke	13–6	0.02	22%	6 Jul →
train	11–13	0.06	29%	6 Jul →
mirage	5–13	0.08	15%	6 Jul →
ancient	13–9	0.02	23%	6 Jul →
train	12–12	0.08	22%	6 Jul →
ancient	9–13	-0.01	16%	6 Jul →
inferno	13–9	0.02	17%	6 Jul →
ancient	13–4	0.06	23%	2 Jul →
mirage	13–8	0.01	25%	2 Jul →
dust2	11–13	0.06	26%	2 Jul →
inferno	11–13	0.02	28%	1 Jul →
ancient	6–13	0.04	24%	29 Jun →
inferno	13–11	0.10	25%	29 Jun →
nuke	3–13	0.08	25%	29 Jun →
dust2	13–4	-0.01	25%	29 Jun →
mirage	16–12	0.01	16%	29 Jun →
ancient	11–6	0.05	23%	29 Jun →
overpass	4–13	-0.03	31%	29 Jun →
ancient	13–5	0.12	16%	29 Jun →
inferno	9–2	0.17	25%	29 Jun →