ocean

ocean — CS2 Stats

76561199160113079[U:1:1199847351]Steam profile ↗✓ No bans

5,738Tracked matches59%Win rate2023Tracked since
2,851Hours in CS
CSDB Rating5.5 SolidPositional Player
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
FaceitLevel 3 · 737 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (15 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.

Rating over time

Premier CS Rating: 15,000 -1,281 1 Sept – 21 Oct · 5 days played
15,00016,281peak 16,2811 Sept21 Oct
Faceit ELO: 737 +0 1 Sept – 2 Sept · 2 observations
737737peak 7371 Sept2 Sept
16,281Peak Premier in tracked matches
737Highest Faceit ELO seen on CSDB
16Days played since 2026-09-01

Faceit ELO

  • At peak — 737
  • Next: Level 3 at 751 — 14 to go
  • Reached: Level 2
  • Level 2 first seen 2026-09-01

Premier CS Rating

  • 1,281 below peak (16,281)
  • Next: Pink band at 20,000 — 5,000 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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 Level 3 among CSDB-tracked players (n=10,505), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate39.2%41.8%42.7%3.6% short
Shot accuracy1.0%12.2%11.2%10.2% short
Kill/death ratio0.740.980.990.25 short
Match win rate41.6%43.3%43.9%2.3% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGoceanFACEITLevel 3 · 737 ELOSTANDINGTop 90.6% of rankedPREMIER15,000 · Purple bandPEAK ELO737csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim72
Positioning46
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY55–34–11Last 10055%Win rateLLWLWLLWWL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −6.6pp headshot accuracy · +15ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 7%
  • Avg reaction 591ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 584ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 576ms

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 (+1.9 against its own average).

Aim7.2
Utility3.3
Positioning4.6
Opening Duels0.3
Clutch2.4

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

ropz

Plays most like ropz 91% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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.

Reaction time. 579ms 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
Positioning4.6
Utility3.3
Mechanics6.6
Opening Duels1.6
Win Impact7.9

Composite 5.5/10 (Solid), 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 time577ms−18ms
first ⅓ avg 595ms → last ⅓ avg 577ms
Headshot accuracy13.8%+2.9%
first ⅓ avg 10.8% → last ⅓ avg 13.8%

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.

Personal bests

0.11Best match rating · 13–11 · inferno, 17 Oct →
33%Best headshot accuracy · 1–13 · nuke, 31 Oct →
320msFastest reaction time · 13–2 · office, 16 Oct →
13–1Biggest win · boulder, 30 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
7–2In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 70% over 10cacheWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B147–750%-0.02
infernoB137–654%0.02
officeB126–650%-0.00
nukeS128–467%-0.02
mirageS107–370%-0.02
cacheD93–633%-0.01
ancientB84–450%-0.03
trainB63–350%-0.03
overpassA53–260%-0.02
vertigo—42–250%-0.04
italy—32–167%0.02
anubis—21–150%-0.01
boulder—22–0100%0.01

Across the last 100 tracked matches.

Lifetime stats

82,524Lifetime kills
0.74K/D
7,355Matches
41.6%Match win rate
39.2%Headshot %
1.0%Shot accuracy
8,868MVPs
2,851Hours (in match)
8,320Bombs planted
1,382Bombs defused

Most-used weapons

Galil AR10,255
AUG9,540
AK-477,840
SG 5535,776
AWP5,770
MP73,646
MP92,222

Lifetime map wins

12,576dust2
9,179nuke
6,905inferno
4,524vertigo
2,793train
2,363office
586italy
125militia

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

Faceit stats

Combat

158Matches
46%Win rate
0.88Avg K/D
66.2ADR
39%Headshot %

Clutches & streaks

32%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust24439%0.8212.8
Nuke3152%1.0212.5
Ancient2759%0.8814.3
Mirage1839%0.8412.4
Anubis1527%0.8214.5
Inferno1050%0.8311.0
Cache771%0.9314.4
Vertigo367%0.9614.7

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.

13.9%Headshot accuracy
36.1%Accuracy (enemy spotted)
38.8%Spray accuracy
79.9%Counter-strafing
8.8°Preaim
579msReaction time
31.5%T opening success
41.5%CT opening success
0.42Enemies flashed / flash
3.0%Flash assists
6.32HE damage / grenade
2.16Flashes / 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 13.8937% — 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 0.4187 — 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 31.4848% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient2–13-0.0312%4 Nov →
office6–130.045%4 Nov →
overpass13–30.056%4 Nov →
anubis7–130.0011%4 Nov →
mirage13–5-0.072%4 Nov →
vertigo3–13-0.083%4 Nov →
nuke8–13-0.0617%3 Nov →
dust213–4-0.0019%3 Nov →
inferno13–8-0.0311%3 Nov →
ancient2–7-0.058%3 Nov →
overpass13–9-0.0412%3 Nov →
office7–13-0.0122%3 Nov →
cache11–13-0.0011%1 Nov →
dust213–4-0.0017%1 Nov →
train9–13-0.0615%1 Nov →
nuke13–70.0117%1 Nov →
nuke1–13-0.1033%31 Oct →
inferno13–50.1015%31 Oct →
train13–110.0410%31 Oct →
italy13–40.0511%31 Oct →
mirage13–60.0410%31 Oct →
nuke13–50.0111%31 Oct →
cache2–13-0.0725%31 Oct →
office8–13-0.0112%31 Oct →
vertigo13–100.0111%30 Oct →
dust213–7-0.0320%30 Oct →
cache12–12-0.0320%30 Oct →
mirage13–40.0324%30 Oct →
inferno13–50.029%30 Oct →
boulder13–10.0420%30 Oct →
office10–7-0.0811%30 Oct →
inferno7–13-0.069%29 Oct →
train13–10.0314%29 Oct →
nuke13–90.007%29 Oct →
office13–70.028%29 Oct →
dust24–13-0.0110%29 Oct →
dust26–13-0.0611%27 Oct →
train6–13-0.029%27 Oct →
office13–10-0.087%27 Oct →
dust212–12-0.0315%27 Oct →
nuke13–100.019%27 Oct →
mirage13–60.0310%27 Oct →
vertigo10–13-0.0210%25 Oct →
mirage3–13-0.0319%25 Oct →
ancient13–11-0.0413%25 Oct →
overpass13–20.0015%25 Oct →
train13–10-0.0511%25 Oct →
office12–12-0.019%25 Oct →
dust213–9-0.0117%25 Oct →
inferno13–110.049%25 Oct →
cache1–130.0417%25 Oct →
nuke8–13-0.058%24 Oct →
mirage13–11-0.0516%24 Oct →
dust213–90.0029%24 Oct →
inferno13–80.0614%23 Oct →
dust24–13-0.0923%23 Oct →
nuke13–7-0.0316%23 Oct →
cache13–50.0211%23 Oct →
italy11–13-0.0313%23 Oct →
office12–120.0318%23 Oct →
dust25–13-0.0925%23 Oct →
inferno8–13-0.0519%23 Oct →
ancient13–110.0223%23 Oct →
ancient13–40.0414%21 Oct →
inferno4–130.0411%21 Oct →
nuke13–10-0.107%21 Oct →
cache13–11-0.0511%21 Oct →
dust213–40.0917%21 Oct →
inferno9–13-0.0411%21 Oct →
ancient7–13-0.098%20 Oct →
dust212–120.0116%20 Oct →
mirage13–8-0.0114%20 Oct →
office6–130.0310%20 Oct →
nuke13–80.045%20 Oct →
office13–80.019%18 Oct →
overpass1–13-0.135%18 Oct →
italy13–10.0514%18 Oct →
vertigo13–6-0.0614%18 Oct →
dust213–80.029%18 Oct →
boulder13–4-0.027%18 Oct →
inferno13–10.064%18 Oct →
nuke12–12-0.0310%18 Oct →
train12–12-0.114%18 Oct →
ancient13–10-0.062%18 Oct →
office13–80.005%18 Oct →
overpass10–130.0224%17 Oct →
inferno13–110.1115%17 Oct →
cache12–120.0619%17 Oct →
mirage13–3-0.0220%17 Oct →
office13–20.0315%16 Oct →
inferno6–13-0.006%16 Oct →
dust23–13-0.0813%16 Oct →
cache12–12-0.059%16 Oct →
mirage6–13-0.0311%16 Oct →
ancient8–13-0.0512%16 Oct →
anubis13–5-0.036%15 Oct →
nuke13–80.012%15 Oct →
cache13–50.0216%15 Oct →
mirage12–12-0.1014%15 Oct →
inferno12–12-0.0611%15 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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