octane

octane — CS2 Stats

GB76561197990821671[U:1:30555943]Steam profile ↗✓ No bans

871Tracked matches48%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPositional Player
FaceitLevel 8 · 1,591 ELOTop 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 871 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,572 -2,764 21 May – 29 Jun · 11 days played
19,57222,336peak 22,33621 May29 Jun
Faceit ELO: 1,591 +0 5 Sept – 14 Sept · 2 observations
1,5911,591peak 1,5915 Sept14 Sept
22,336Peak Premier in tracked matches
1,591Highest Faceit ELO seen on CSDB
50Days played since 2026-03-09

Faceit ELO

  • At peak — 1,591
  • Next: Level 9 at 1,751 — 160 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-05
  • Level 7 first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGoctaneFACEITLevel 8 · 1,591 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,591csdb.gg/stats

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Performance scores

Aim74
Positioning50
Utility39

0–100 skill scores via Leetify.

Recent form

COLD37–59–4Last 10037%Win rateWLLLLTLLLL

Last 10 vs previous 10: −50pp win rate · +0.00 avg rating · −1.3pp headshot accuracy · +18ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 27%
  • Avg reaction 645ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 643ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 634ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim7.4
Utility3.9
Positioning5.0
Opening Duels3.7
Clutch3.0

Strong CT-side openerLimited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 93% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; 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 53% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 650ms 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

Aim7.4
Positioning5.0
Utility3.9
Mechanics7.6
Opening Duels3.2
Win Impact4.4

Composite 5.4/10 (Developing), 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 rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time676ms−74ms
first ⅓ avg 750ms → last ⅓ avg 676ms
Headshot accuracy25.2%−3.5%
first ⅓ avg 28.7% → last ⅓ avg 25.2%

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.

Personal bests

0.10Best match rating · 9–6 · nuke, 31 Mar →
60%Best headshot accuracy · 2–13 · cache, 29 May →
430msFastest reaction time · 13–4 · inferno, 15 Aug →
13–2Biggest win · dust2, 14 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–3In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 56% over 9dust2Weakest map · 22% over 23
MapGradePlayedRecordWin rateAvg rating
dust2D235–1822%-0.02
infernoB2211–1150%-0.01
nukeC166–1038%-0.02
anubisD93–633%-0.03
overpassA95–456%-0.03
cacheC73–443%-0.02
vertigo—41–325%-0.03
ancient—42–250%-0.05
mirage—40–40%-0.06
fachwerk—11–0100%-0.02
train—10–10%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,034Matches
53%Win rate
1.08Avg K/D
75.6ADR
49%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
14Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1540%1.0615.3
Dust2633%0.6611.5
Inferno683%1.2220.5
Train425%0.8614.5
Ancient425%0.9715.8
Overpass367%1.0518.7
Nuke333%0.9113.0
Vertigo1100%1.6922.0

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.

25.5%Headshot accuracy
31.6%Accuracy (enemy spotted)
33.7%Spray accuracy
84.1%Counter-strafing
8.3°Preaim
650msReaction time
32.6%T opening success
53.4%CT opening success
0.56Enemies flashed / flash
5.9%Flash assists
10.89HE damage / grenade
4.15Flashes / 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.

  1. 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 32.5608% — 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.

22% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke12–40.0224%7 Sept →
dust27–13-0.0126%7 Sept →
anubis5–13-0.0327%6 Sept →
nuke7–13-0.0441%4 Sept →
dust210–130.0119%3 Sept →
dust212–12-0.0417%2 Sept →
inferno3–10-0.0125%31 Aug →
cache9–130.0419%31 Aug →
nuke1–13-0.0627%31 Aug →
inferno9–130.0329%31 Aug →
vertigo13–80.0325%31 Aug →
anubis12–12-0.0727%29 Aug →
dust24–130.0027%26 Aug →
cache13–100.0427%26 Aug →
nuke13–6-0.0124%26 Aug →
overpass13–10-0.0224%24 Aug →
dust24–13-0.0623%23 Aug →
inferno13–70.0736%22 Aug →
dust23–13-0.0333%22 Aug →
cache13–7-0.0519%15 Aug →
inferno13–4-0.0323%15 Aug →
dust213–20.0227%14 Aug →
anubis13–9-0.0214%14 Aug →
ancient13–10-0.0622%11 Aug →
anubis11–13-0.0540%11 Aug →
anubis13–110.0514%8 Aug →
fachwerk13–10-0.0231%8 Aug →
dust28–13-0.0326%6 Aug →
dust211–13-0.0522%3 Aug →
nuke12–120.0431%3 Aug →
ancient6–13-0.0714%3 Jul →
dust23–13-0.1320%3 Jul →
mirage10–13-0.1127%3 Jul →
dust213–40.0722%29 Jun →
inferno13–4-0.0232%17 Jun →
anubis12–12-0.0517%16 Jun →
inferno4–13-0.0741%9 Jun →
ancient9–13-0.0226%8 Jun →
inferno10–13-0.0131%8 Jun →
anubis13–9-0.0113%7 Jun →
inferno13–8-0.0122%7 Jun →
overpass8–13-0.0221%4 Jun →
nuke13–4-0.0027%4 Jun →
mirage1–13-0.0929%3 Jun →
overpass13–80.0426%3 Jun →
inferno13–160.0140%1 Jun →
nuke10–130.0129%1 Jun →
overpass8–13-0.1114%30 May →
cache8–13-0.0628%30 May →
vertigo3–13-0.0338%29 May →
cache13–7-0.0130%29 May →
cache2–13-0.0260%29 May →
mirage5–130.0224%28 May →
cache10–13-0.0633%28 May →
overpass5–13-0.0329%28 May →
dust26–13-0.0625%23 May →
overpass3–13-0.1018%22 May →
nuke9–13-0.0723%22 May →
inferno10–13-0.056%22 May →
dust25–13-0.083%22 May →
inferno16–140.0922%21 May →
overpass13–30.0634%21 May →
nuke10–13-0.0418%21 May →
dust213–11-0.0124%21 May →
ancient13–8-0.0424%21 May →
dust213–50.0931%21 May →
nuke5–13-0.0624%19 May →
inferno7–130.0224%19 May →
anubis10–13-0.0518%14 May →
dust22–13-0.0632%14 May →
anubis11–13-0.0424%13 May →
dust213–110.0239%8 May →
inferno10–130.0448%8 May →
inferno3–13-0.0322%8 May →
dust26–13-0.0648%8 May →
nuke1–7-0.0355%27 Apr →
dust25–13-0.0223%23 Apr →
dust24–13-0.0317%22 Apr →
inferno13–6-0.0533%22 Apr →
nuke6–13-0.0640%21 Apr →
inferno13–100.0234%21 Apr →
dust26–13-0.0915%20 Apr →
dust29–130.0827%17 Apr →
inferno9–13-0.0428%17 Apr →
inferno5–130.0131%17 Apr →
inferno13–110.0329%16 Apr →
mirage2–13-0.079%15 Apr →
inferno13–7-0.0929%15 Apr →
nuke13–5-0.0919%15 Apr →
train5–130.0026%15 Apr →
overpass13–10-0.0515%15 Apr →
vertigo9–13-0.0631%12 Apr →
vertigo8–13-0.0615%8 Apr →
nuke13–11-0.0126%8 Apr →
inferno9–5-0.0119%31 Mar →
nuke9–60.1042%31 Mar →
dust29–13-0.0019%21 Mar →
overpass13–11-0.0421%21 Mar →
inferno13–11-0.0639%9 Mar →
nuke3–13-0.1050%9 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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