Oiled Down

Oiled Down — CS2 Stats

76561198036888935[U:1:76623207]Steam profile ↗✓ No bans

328Tracked matches45%Win rate2020Tracked since
875Hours in CS5Hrs last 2 wks
CSDB Rating3.5 LearningPositional Player
Premier CS Rating13,493Blue band · top ~36.4% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Aug 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

No change since then. 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. 32 days played since 6 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 13,493 -1,399 16 Jul9 Aug · 12 days played
13,49314,892peak 14,89216 Jul9 Aug
14,999Peak Premier in tracked matches
32Days played since 2026-07-06

Premier CS Rating

  • 1,399 below peak (14,892)
  • -1,399 over 30 days · declining
  • Next: Purple band at 15,000 1,507 to go
  • Reached: Blue band · Light Blue band

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.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=18,772), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate38.3%41.9%44.3%6.0% short
Shot accuracy11.9%9.6%11.8%meets
Kill/death ratio0.870.981.030.16 short
Match win rate40.0%43.8%45.2%5.3% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim38
Positioning46
Utility39

0–100 skill scores via Leetify.

Recent form

COLD46504Last 10046%Win rateLWLLTLLWLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −1.3pp headshot accuracy · +35ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 131 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 641ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 667ms

Last 20

  • 8111 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 649ms

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 PlayerPositioning stands above the rest of this profile (+1 against its own average).

Aim3.8
Utility3.9
Positioning4.6
Opening Duels2.3

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 76% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 660ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.8
Positioning4.6
Utility3.9
Mechanics3.8
Opening Duels1.4
Win Impact3.3

Composite 3.5/10 (Learning), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time655ms+17ms
first ⅓ avg 638ms → last ⅓ avg 655ms
Headshot accuracy14.9%+2.7%
first ⅓ avg 12.2% → last ⅓ avg 14.9%

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.

Personal bests

0.22Best match rating · 9–4 · nuke, 7 Aug
27%Best headshot accuracy · 13–2 · cache, 5 Aug
430msFastest reaction time · 8–8 · vertigo, 11 Sept
13–1Biggest win · cache, 27 Jul

Across the last 100 tracked matches.

Highlights

6Longest win streak
82In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 60% over 5dust2Weakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC31121939%-0.01
cacheA27151256%-0.00
infernoB126650%0.01
dust2D93633%-0.03
vertigoB63350%0.06
ancientB63350%0.00
anubisA53260%0.00
nuke41325%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,248Lifetime kills
0.87K/D
1,571Matches
40.0%Match win rate
38.3%Headshot %
11.9%Shot accuracy · Top 50% of Blue band
3,092MVPs
447Hours (in match)
1,606Bombs planted
277Bombs defused

Most-used weapons

Lifetime map wins

1,929inferno
812dust2
713lake
638vertigo
517train
390cbble
376nuke
120office

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.

15.0%Headshot accuracy
31.6%Accuracy (enemy spotted)
29.6%Spray accuracy
67.3%Counter-strafing
9.9°Preaim
660msReaction time
35.9%T opening success
35.2%CT opening success
0.36Enemies flashed / flash
4.3%Flash assists
7.70HE damage / grenade
8.35Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.9684% — below the 15% mark we flag

    Aim Training
  2. 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 0.3571 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 35.9357% — 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 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno10–130.0316%15 Sept
mirage13–11-0.0614%15 Sept
mirage9–13-0.039%12 Sept
dust29–13-0.0814%12 Sept
vertigo8–80.1513%11 Sept
nuke2–9-0.068%11 Sept
cache5–13-0.0217%5 Sept
cache13–3-0.0215%5 Sept
dust22–13-0.0716%4 Sept
vertigo13–30.0521%4 Sept
mirage13–7-0.099%30 Aug
mirage10–13-0.0315%9 Aug
anubis13–5-0.0221%9 Aug
mirage4–13-0.0126%8 Aug
dust213–40.0611%8 Aug
inferno3–9-0.0213%8 Aug
inferno13–110.1111%7 Aug
nuke9–40.2219%7 Aug
inferno10–13-0.0523%7 Aug
mirage6–13-0.048%6 Aug
mirage13–90.0215%6 Aug
cache9–13-0.0616%6 Aug
ancient13–90.0713%5 Aug
anubis4–130.1124%5 Aug
inferno13–90.0119%5 Aug
cache13–20.0827%5 Aug
cache12–120.0016%4 Aug
cache13–7-0.048%3 Aug
vertigo6–13-0.008%3 Aug
dust22–13-0.079%3 Aug
mirage5–13-0.0116%3 Aug
cache13–80.0412%2 Aug
dust28–13-0.0310%2 Aug
mirage7–130.0716%2 Aug
anubis13–11-0.0621%31 Jul
mirage5–120.0211%27 Jul
cache13–10.0412%27 Jul
cache1–13-0.0414%27 Jul
mirage8–13-0.0222%26 Jul
vertigo13–100.0913%26 Jul
ancient9–130.0114%26 Jul
inferno9–70.0818%26 Jul
vertigo8–80.108%26 Jul
mirage13–80.0316%24 Jul
mirage13–10-0.0424%23 Jul
mirage12–4-0.0722%23 Jul
inferno6–13-0.0218%18 Jul
mirage11–130.0817%18 Jul
mirage7–13-0.0127%18 Jul
cache5–13-0.0721%17 Jul
cache10–130.0310%17 Jul
anubis13–8-0.0212%17 Jul
ancient5–13-0.014%17 Jul
cache13–9-0.0015%17 Jul
cache13–16-0.019%16 Jul
cache13–90.015%16 Jul
inferno13–6-0.0011%16 Jul
mirage13–80.0313%16 Jul
mirage13–10-0.036%16 Jul
ancient13–2-0.0113%16 Jul
ancient13–110.0215%16 Jul
nuke7–130.0413%16 Jul
mirage8–13-0.0610%15 Jul
anubis7–13-0.0110%15 Jul
cache13–40.0614%15 Jul
mirage0–13-0.0313%15 Jul
cache13–6-0.0113%15 Jul
dust210–13-0.0519%15 Jul
mirage5–13-0.0311%15 Jul
mirage4–13-0.0021%15 Jul
mirage13–80.016%14 Jul
cache13–7-0.0216%14 Jul
cache13–70.0617%14 Jul
cache13–11-0.025%14 Jul
dust24–130.0215%14 Jul
cache13–9-0.056%13 Jul
cache9–130.019%13 Jul
mirage5–13-0.0916%13 Jul
dust213–3-0.009%13 Jul
inferno4–130.0312%13 Jul
cache6–13-0.0713%13 Jul
inferno13–110.0411%12 Jul
cache6–13-0.0423%12 Jul
mirage13–2-0.0110%11 Jul
mirage7–130.0015%10 Jul
cache14–160.0410%10 Jul
mirage4–12-0.0219%10 Jul
inferno13–7-0.049%10 Jul
nuke3–13-0.087%9 Jul
ancient1–13-0.0521%9 Jul
mirage13–40.086%9 Jul
mirage3–13-0.018%9 Jul
inferno3–130.018%9 Jul
cache16–140.0210%9 Jul
dust216–130.0119%9 Jul
cache12–12-0.0313%8 Jul
vertigo13–9-0.0111%8 Jul
mirage13–60.027%7 Jul
cache13–60.059%6 Jul
mirage6–13-0.0617%6 Jul

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 →