Oil Rigged

Oil Rigged — CS2 Stats

AT76561198277467777[U:1:317202049]Steam profile ↗✓ No bans

279Tracked matches33%Win rate2021Tracked since
CSDB Rating4.7 DevelopingAll-Rounder
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 279 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 35 days played since 26 Jun 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 10,666 -2,042 22 Jul19 Jan · 10 days played
8,47912,708peak 12,70822 Jul19 Jan
12,785Peak Premier in tracked matches
35Days played since 2025-06-26

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.GGOil RiggedFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim64
Positioning49
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY4258Last 10042%Win rateLLWLWLWLWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −6.2pp headshot accuracy · −27ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 558ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 641ms

Last 20

  • 713 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 655ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim6.4
Utility4.6
Positioning4.9
Opening Duels3.3

Limited 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

jL

Plays most like jL 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 669ms 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

Aim6.4
Positioning4.9
Utility4.6
Mechanics5.4
Opening Duels2.8
Win Impact0.0

Composite 4.7/10 (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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time666ms+44ms
first ⅓ avg 622ms → last ⅓ avg 666ms
Headshot accuracy19.5%+6.9%
first ⅓ avg 12.6% → last ⅓ avg 19.5%

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

0.11Best match rating · 13–3 · inferno, 21 Jul
40%Best headshot accuracy · 5–13 · mirage, 2 Jul
406msFastest reaction time · 7–13 · mirage, 12 Jul
13–3Biggest win · cache, 10 Jul

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
84In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 52% over 21dust2Weakest map · 33% over 30
MapGradePlayedRecordWin rateAvg rating
mirageC35152043%-0.01
dust2D30102033%-0.02
infernoB21111052%0.00
overpass42250%-0.01
cache32167%0.01
nuke31233%0.01
train21150%0.01
ancient2020%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 30). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4Matches
50%Win rate
1.21Avg K/D
ADR
32%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke250%1.1517.0
Mirage1100%1.1714.0
Overpass10%1.3822.0

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.

19.6%Headshot accuracy
35.0%Accuracy (enemy spotted)
34.2%Spray accuracy
74.2%Counter-strafing
8.1°Preaim
669msReaction time
39.2%T opening success
42.8%CT opening success
0.67Enemies flashed / flash
7.5%Flash assists
8.77HE damage / grenade
4.23Flashes / 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 39.2321% — 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.

33% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0312%13 Jul
mirage7–130.0014%12 Jul
inferno13–8-0.0223%12 Jul
cache1–13-0.0331%12 Jul
inferno12–70.0515%12 Jul
inferno6–13-0.0620%12 Jul
cache13–90.0414%12 Jul
dust210–13-0.0713%11 Jul
inferno13–40.0216%11 Jul
dust25–13-0.0410%10 Jul
cache13–30.0318%10 Jul
dust213–50.0536%10 Jul
mirage2–13-0.1120%8 Jul
mirage13–11-0.0417%6 Jul
train8–130.0123%6 Jul
dust211–130.0112%5 Jul
inferno4–130.0929%5 Jul
dust25–13-0.0638%5 Jul
mirage6–13-0.0418%3 Jul
mirage3–13-0.0220%3 Jul
dust29–130.0413%3 Jul
dust27–130.0521%2 Jul
mirage13–7-0.0232%2 Jul
mirage5–13-0.0440%2 Jul
mirage16–130.0814%2 Jul
mirage13–90.0614%30 Jun
mirage10–130.0215%29 Jun
dust27–13-0.0321%29 Jun
dust29–13-0.0324%7 Jun
dust28–13-0.029%31 May
mirage3–13-0.090%31 May
mirage13–11-0.0326%19 Jan
mirage6–13-0.0514%11 Jan
mirage6–130.0236%11 Jan
overpass13–60.0216%11 Jan
ancient5–13-0.0217%11 Jan
dust29–13-0.0211%9 Jan
overpass13–90.015%9 Jan
dust213–11-0.0717%9 Jan
inferno13–6-0.005%9 Jan
mirage13–80.0323%9 Jan
nuke13–110.0210%9 Jan
inferno13–10-0.029%8 Jan
dust213–6-0.0211%8 Jan
dust22–13-0.0110%8 Jan
inferno9–130.0027%8 Jan
mirage13–11-0.0429%7 Jan
dust26–13-0.0715%7 Jan
mirage5–130.0118%7 Jan
dust25–13-0.044%7 Jan
dust213–11-0.0021%6 Jan
mirage3–13-0.0230%30 Aug
overpass4–13-0.0623%24 Aug
dust213–11-0.0911%1 Aug
dust27–130.0021%27 Jul
overpass14–16-0.018%26 Jul
dust213–100.037%26 Jul
inferno1–13-0.0319%26 Jul
dust26–13-0.0721%24 Jul
mirage2–13-0.0418%24 Jul
train13–80.0015%22 Jul
mirage13–5-0.0114%22 Jul
dust213–8-0.037%22 Jul
mirage13–70.057%22 Jul
mirage13–70.0911%22 Jul
dust214–16-0.0114%21 Jul
inferno13–30.117%21 Jul
nuke3–13-0.019%21 Jul
mirage16–130.0111%20 Jul
mirage10–130.0015%20 Jul
dust210–13-0.0211%20 Jul
inferno13–90.0124%20 Jul
mirage13–160.0311%20 Jul
inferno13–50.039%20 Jul
inferno6–13-0.0512%19 Jul
dust213–10-0.066%19 Jul
dust27–130.0414%19 Jul
dust213–4-0.0314%19 Jul
mirage6–130.0612%14 Jul
inferno10–130.0013%14 Jul
mirage13–40.0023%14 Jul
mirage1–13-0.0222%9 Jul
inferno13–80.0524%9 Jul
mirage11–13-0.0218%8 Jul
mirage10–13-0.043%3 Jul
dust212–16-0.0219%29 Jun
ancient10–13-0.039%29 Jun
nuke3–130.0110%29 Jun
inferno10–13-0.027%29 Jun
inferno13–110.039%29 Jun
dust28–130.0117%29 Jun
mirage13–4-0.047%29 Jun
mirage13–10-0.018%29 Jun
inferno13–50.055%29 Jun
mirage13–8-0.0510%29 Jun
dust213–90.0215%29 Jun
inferno6–13-0.069%26 Jun
inferno9–13-0.0414%26 Jun
inferno8–13-0.0610%26 Jun
mirage3–13-0.1117%26 Jun

Match data via Leetify.

Recent teammates

Milestones

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