Oocty — CS2 Stats

76561198004619680[U:1:44353952]

1,122Tracked matches43%Win rate2020Tracked since

1,988Hours in CS8Hrs last 2 wks

CSDB Rating5.2 DevelopingHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim67

Positioning50

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateLWLLLWLWWL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

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

Aim6.7

Aggression6.6

Utility5.4

Positioning5.0

Opening Duels2.2

Clutch3.6

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 Twistzz 88% playstyle similarity

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

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

T-side openings. Opening success drops from 49% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms 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

Aim6.7

Positioning5.0

Utility5.4

Mechanics5.5

Opening Duels2.3

Win Impact2.8

Composite 5.2/10 (Developing), 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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time613ms−15ms

first ⅓ avg 629ms → last ⅓ avg 613ms

Headshot accuracy17.8%+0.9%

first ⅓ avg 16.9% → last ⅓ avg 17.8%

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

0.16Best rating — dust2 13–2

13–0Biggest win — dust2

7Longest win streak

7–6In matches decided by ≤2 rounds

13Overtime games

Map breakdown

mirageBest map · 70% over 10infernoWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	27	18–9	67%	0.03
ancient	B	15	8–7	53%	0.01
nuke	S	13	9–4	69%	0.01
inferno	D	13	4–9	31%	0.01
overpass	B	12	6–6	50%	0.02
mirage	S	10	7–3	70%	0.04
train	—	4	2–2	50%	0.02
vertigo	—	2	1–1	50%	0.05
cache	—	2	1–1	50%	-0.02
office	—	1	1–0	100%	0.00
anubis	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,187Lifetime kills

1.05K/D · Top 50% of tracked players

2,339Matches

48.9%Match win rate · Top 50% of tracked players

45.2%Headshot % · Top 50% of tracked players

12.5%Shot accuracy · Top 50% of tracked players

5,795MVPs

1,502Hours (in match)

4,088Bombs planted

752Bombs defused

Most-used weapons

AK-4719,703

M4A4 / M4A1-S9,952

AWP3,197

P2000 / USP-S2,885

Desert Eagle2,700

Glock-181,619

FAMAS1,307

Knife1,086

Galil AR1,053

MP71,036

Lifetime map wins

5,651dust2

3,938inferno

2,090nuke

768vertigo

683train

55cbble

42office

20italy

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

Faceit stats

Combat

853Matches

53%Win rate

1.23Avg K/D

82.6ADR

45%Headshot %

Clutches & streaks

38%1v1 clutch win

24%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	215	55%	1.25	16.9
Mirage	123	50%	1.12	16.0
Nuke	92	52%	1.23	17.5
Inferno	88	55%	1.24	16.6
Overpass	82	51%	1.40	18.9
Ancient	80	46%	1.19	17.3
Train	20	40%	1.35	16.5
Vertigo	20	55%	1.06	15.6

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.

16.9%Headshot accuracy

35.9%Accuracy (enemy spotted)

41.1%Spray accuracy

74.9%Counter-strafing

9.9°Preaim

617msReaction time

29.4%T opening success

48.5%CT opening success

0.49Enemies flashed / flash

8.8%Flash assists

7.66HE damage / grenade

8.42Flashes / 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 0.4893 — 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 29.3973% — below the 40% mark we flag

Spend your practice time on Inferno

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	8–13	-0.02	12%	29 Aug →
ancient	13–3	0.07	12%	29 Aug →
nuke	8–13	-0.05	21%	28 Aug →
ancient	5–9	-0.07	6%	24 Aug →
mirage	7–13	-0.00	11%	14 Aug →
dust2	13–8	0.01	15%	4 Aug →
dust2	10–13	0.02	14%	3 Aug →
mirage	13–10	0.07	22%	2 Aug →
mirage	13–5	0.04	20%	2 Aug →
nuke	3–13	-0.05	22%	26 Jul →
dust2	13–8	0.06	16%	12 Jul →
dust2	13–4	0.06	20%	12 Jul →
overpass	5–7	-0.10	20%	5 Jul →
inferno	11–13	0.04	26%	28 Jun →
ancient	13–7	0.03	10%	28 Jun →
overpass	11–13	0.04	21%	20 Jun →
mirage	13–8	0.04	29%	19 Jun →
ancient	13–16	-0.02	13%	14 Jun →
ancient	10–13	0.07	30%	11 Jun →
ancient	13–6	0.09	15%	27 May →
dust2	10–13	-0.04	16%	23 May →
dust2	13–7	0.04	13%	22 May →
nuke	10–13	0.03	16%	19 May →
dust2	11–13	-0.02	8%	18 May →
cache	16–13	0.00	15%	18 May →
nuke	16–13	0.03	18%	18 May →
nuke	13–8	-0.02	19%	17 May →
inferno	8–13	-0.06	14%	10 May →
inferno	0–4	-0.03	17%	3 May →
cache	11–13	-0.05	16%	30 Apr →
nuke	13–7	0.02	30%	24 Apr →
inferno	7–13	0.04	18%	23 Apr →
overpass	6–13	0.06	32%	21 Apr →
dust2	13–8	0.01	22%	21 Apr →
dust2	13–10	-0.06	35%	21 Apr →
overpass	13–7	-0.04	31%	21 Apr →
ancient	13–6	-0.01	18%	20 Apr →
dust2	13–4	0.10	15%	20 Apr →
dust2	6–13	0.03	8%	19 Apr →
mirage	5–13	-0.02	11%	19 Apr →
overpass	8–13	0.03	19%	19 Apr →
dust2	13–0	0.08	33%	13 Apr →
overpass	16–12	0.02	16%	12 Apr →
dust2	13–4	0.09	13%	12 Apr →
vertigo	13–5	0.12	27%	8 Apr →
dust2	6–13	0.02	17%	8 Apr →
mirage	12–12	0.03	24%	6 Apr →
inferno	1–13	0.06	13%	6 Apr →
inferno	6–13	0.02	29%	2 Apr →
dust2	13–7	0.06	16%	2 Apr →
mirage	13–7	0.06	21%	25 Mar →
overpass	11–13	-0.01	20%	23 Mar →
ancient	13–8	-0.00	16%	22 Mar →
office	13–5	0.00	37%	18 Mar →
inferno	13–11	0.08	16%	18 Mar →
ancient	7–13	-0.02	18%	18 Mar →
dust2	8–13	-0.04	15%	4 Mar →
ancient	13–11	0.01	20%	2 Mar →
inferno	10–13	-0.02	22%	1 Mar →
anubis	13–9	0.00	12%	28 Feb →
dust2	13–8	0.05	22%	23 Feb →
mirage	13–11	0.07	15%	17 Feb →
dust2	13–7	0.06	24%	17 Feb →
mirage	13–7	0.08	23%	16 Feb →
overpass	13–8	0.07	19%	15 Feb →
ancient	13–5	0.08	24%	8 Feb →
dust2	7–13	-0.06	13%	8 Feb →
nuke	13–4	-0.02	15%	2 Feb →
overpass	10–13	0.00	20%	28 Jan →
nuke	13–5	0.06	29%	25 Jan →
inferno	16–13	0.04	17%	21 Jan →
ancient	15–15	0.03	19%	10 Jan →
dust2	13–5	-0.00	16%	4 Jan →
nuke	10–13	0.07	17%	30 Dec →
inferno	7–13	-0.00	14%	29 Dec →
inferno	13–10	-0.04	24%	28 Dec →
overpass	13–9	0.06	11%	28 Dec →
dust2	9–13	0.01	12%	24 Dec →
ancient	16–13	0.03	16%	23 Dec →
train	8–13	-0.04	26%	21 Dec →
inferno	4–13	0.02	12%	20 Dec →
train	13–2	0.11	23%	17 Dec →
mirage	13–9	0.03	17%	17 Dec →
nuke	16–13	-0.02	17%	16 Dec →
nuke	13–11	0.03	9%	16 Dec →
ancient	3–13	-0.05	0%	12 Dec →
dust2	13–2	0.16	18%	3 Dec →
nuke	13–9	0.04	11%	30 Nov →
overpass	13–10	0.10	16%	29 Nov →
dust2	16–13	-0.00	12%	25 Nov →
overpass	13–6	0.04	12%	23 Nov →
train	13–16	0.00	27%	20 Nov →
ancient	12–16	-0.01	15%	20 Nov →
train	13–8	0.01	21%	9 Nov →
dust2	16–13	0.02	17%	8 Nov →
nuke	16–14	0.01	16%	8 Nov →
dust2	7–13	0.02	19%	4 Nov →
dust2	13–5	0.11	23%	25 Oct →
inferno	13–11	0.03	18%	23 Oct →
dust2	13–11	0.01	19%	22 Oct →