Octane — CS2 Stats

US76561198278622054[U:1:318356326]Steam profile ↗✓ No bans

1,085Tracked matches57%Win rate2020Tracked since

5,261Hours in CS5Hrs last 2 wks

CSDB Rating6.1 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim72

Positioning66

Utility41

0–100 skill scores via Leetify.

Recent form

COLD51–47–2Last 10051%Win rateWLWLLLLWLL

Last 10 vs previous 10: -40pp win rate · -0.04 avg rating

Player DNA

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

Aim7.2

Aggression6.4

Utility4.1

Positioning6.6

Opening Duels3.8

Clutch4.4

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 iM 91% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 57% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms 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

Aim7.2

Positioning6.6

Utility4.1

Mechanics7.9

Opening Duels3.8

Win Impact7.2

Composite 6.1/10 (Solid), 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 rating0.01+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time613ms+3ms

first ⅓ avg 610ms → last ⅓ avg 613ms

Headshot accuracy16.9%+0.0%

first ⅓ avg 16.9% → last ⅓ avg 16.9%

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

0.11Best rating — overpass 13–10

13–1Biggest win — mirage

4Longest win streak

8–10In matches decided by ≤2 rounds

16Overtime games

Map breakdown

overpassBest map · 78% over 9infernoWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	24	12–12	50%	0.00
mirage	A	20	11–9	55%	0.01
anubis	A	14	8–6	57%	0.01
inferno	D	10	2–8	20%	0.01
dust2	A	10	6–4	60%	-0.01
overpass	S	9	7–2	78%	0.01
nuke	B	8	4–4	50%	-0.02
cache	—	2	0–2	0%	-0.08
train	—	2	1–1	50%	-0.00
italy	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,930Lifetime kills

1.26K/D · Top 25% of tracked players

2,694Matches

42.9%Match win rate

52.6%Headshot % · Top 25% of tracked players

17.4%Shot accuracy · Top 25% of tracked players

7,448MVPs

1,912Hours (in match)

1,784Bombs planted

742Bombs defused

Most-used weapons

AK-4726,996

M4A4 / M4A1-S9,837

Desert Eagle5,838

AWP5,563

P2000 / USP-S4,285

Glock-182,841

XM10142,256

MP91,848

Knife1,784

MAC-101,711

Lifetime map wins

7,387inferno

7,257dust2

1,281vertigo

848nuke

237train

47office

46lake

33cbble

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

Faceit stats

Combat

776Matches

53%Win rate

1.16Avg K/D

82.1ADR

44%Headshot %

Clutches & streaks

42%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	64	55%	1.09	16.6
Anubis	47	53%	1.10	15.8
Mirage	38	61%	1.16	15.9
Inferno	27	52%	1.18	15.7
Dust2	16	38%	0.94	14.5
Nuke	15	40%	1.00	16.4
Overpass	11	27%	1.06	16.6
Train	4	25%	1.10	20.3

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.

17.1%Headshot accuracy

37.6%Accuracy (enemy spotted)

41.8%Spray accuracy

85.5%Counter-strafing

11.8°Preaim

610msReaction time

33.0%T opening success

57.2%CT opening success

0.47Enemies flashed / flash

7.0%Flash assists

6.18HE damage / grenade

8.97Flashes / 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 0.4656 — 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 32.9769% — 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.

20% win rate across 10 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
inferno	16–13	0.03	16%	26 Aug →
inferno	6–13	-0.02	16%	23 Jul →
nuke	16–13	0.01	14%	14 Jul →
cache	4–13	-0.12	15%	26 Jun →
ancient	11–13	-0.05	19%	26 Jun →
inferno	9–13	0.02	24%	10 Jun →
nuke	14–16	0.01	21%	4 Jun →
dust2	13–10	-0.01	13%	4 Jun →
inferno	14–16	0.04	23%	29 May →
anubis	4–13	-0.02	17%	29 May →
anubis	13–10	0.02	7%	26 May →
mirage	13–10	0.07	17%	21 May →
anubis	13–7	0.10	22%	19 May →
dust2	16–12	0.02	10%	7 May →
mirage	5–13	0.01	16%	5 May →
ancient	5–13	-0.01	23%	28 Apr →
dust2	7–13	-0.02	18%	28 Apr →
anubis	13–9	0.03	7%	23 Apr →
anubis	13–5	0.05	13%	16 Apr →
ancient	16–13	-0.01	12%	14 Apr →
anubis	14–16	-0.00	20%	9 Apr →
nuke	5–13	-0.01	12%	7 Apr →
mirage	13–10	0.02	16%	7 Apr →
anubis	13–7	0.04	40%	6 Apr →
mirage	13–2	0.05	29%	11 Mar →
mirage	13–11	-0.00	12%	26 Jan →
anubis	9–13	-0.05	20%	20 Jan →
overpass	13–10	0.03	16%	14 Jan →
nuke	13–8	-0.05	18%	14 Jan →
overpass	13–6	0.04	12%	8 Jan →
mirage	13–7	0.04	19%	5 Jan →
cache	5–13	-0.05	6%	5 Jan →
nuke	13–6	-0.02	13%	18 Dec →
dust2	9–13	-0.07	16%	18 Dec →
dust2	13–5	0.03	15%	6 Dec →
inferno	8–13	0.05	9%	30 Nov →
mirage	13–1	0.04	27%	19 Nov →
ancient	1–13	-0.01	4%	15 Nov →
inferno	13–8	0.01	20%	12 Nov →
mirage	8–13	-0.00	16%	5 Nov →
ancient	13–5	-0.01	16%	1 Nov →
ancient	13–3	0.03	17%	8 Oct →
ancient	13–11	0.06	16%	6 Oct →
ancient	0–6	-0.06	20%	6 Oct →
dust2	13–1	0.03	21%	5 Oct →
mirage	2–13	-0.06	16%	5 Oct →
inferno	6–13	0.01	19%	5 Oct →
mirage	6–1	-0.00	29%	3 Oct →
dust2	13–11	-0.00	23%	3 Oct →
overpass	10–13	-0.03	13%	3 Oct →
mirage	5–13	-0.01	20%	3 Oct →
dust2	7–13	-0.14	13%	3 Oct →
overpass	9–13	0.01	12%	2 Oct →
overpass	13–7	0.00	13%	2 Oct →
overpass	13–11	-0.03	28%	2 Oct →
overpass	16–13	-0.04	13%	2 Oct →
ancient	15–15	0.04	19%	2 Oct →
nuke	13–10	0.04	21%	2 Oct →
overpass	13–10	0.11	13%	7 Aug →
anubis	13–9	0.07	10%	25 Jul →
dust2	6–13	-0.00	20%	18 Jul →
inferno	10–13	-0.05	12%	16 Jul →
overpass	13–5	-0.00	13%	16 Jul →
nuke	1–13	-0.02	4%	4 Jul →
ancient	13–16	-0.02	13%	19 Jun →
mirage	20–22	0.02	14%	17 Jun →
mirage	4–13	-0.01	19%	17 Jun →
ancient	12–12	-0.00	19%	10 Jun →
nuke	5–13	-0.08	22%	22 May →
ancient	13–11	-0.01	18%	20 May →
ancient	9–13	-0.01	7%	8 May →
anubis	13–9	0.07	19%	6 May →
anubis	19–16	-0.02	18%	7 Apr →
ancient	13–6	0.01	16%	6 Apr →
italy	8–13	0.01	15%	6 Apr →
train	6–13	-0.07	10%	10 Mar →
anubis	6–13	0.01	11%	1 Mar →
inferno	12–15	0.05	9%	25 Feb →
train	13–8	0.07	21%	25 Feb →
mirage	11–13	0.01	11%	22 Feb →
dust2	13–5	0.07	27%	22 Feb →
ancient	13–7	0.02	13%	11 Feb →
inferno	5–13	0.00	8%	30 Jan →
ancient	6–13	-0.00	24%	17 Jan →
ancient	13–9	0.09	20%	3 Jan →
ancient	13–11	-0.06	16%	3 Jan →
ancient	13–11	-0.02	16%	3 Jan →
mirage	14–16	-0.03	20%	18 Dec →
ancient	11–13	0.04	18%	18 Dec →
mirage	13–9	0.04	24%	6 Dec →
mirage	11–13	-0.00	18%	2 Dec →
anubis	3–13	-0.05	28%	6 Nov →
mirage	16–14	-0.04	7%	6 Nov →
anubis	6–13	-0.05	16%	6 Nov →
mirage	13–5	0.08	27%	4 Nov →
ancient	11–13	-0.00	12%	3 Nov →
mirage	13–6	0.03	12%	31 Oct →
ancient	13–5	0.04	23%	26 Oct →
ancient	12–16	-0.07	22%	25 Oct →
ancient	13–9	0.03	12%	24 Oct →