OxO

OxO — CS2 Stats

76561197962654393[U:1:2388665]Steam profile ↗✓ No bans

1,042Tracked matches50%Win rate2020Tracked since
CSDB Rating5.6 SolidSupport
Premier CS Rating16,966Purple band · top ~20.6% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (4 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: 16,966 -1,225 15 May – 29 Sept · 38 days played
14,99919,639peak 19,63915 May29 Sept
19,749Peak Premier in tracked matches
45Days played since 2026-05-15

Premier CS Rating

  • 2,673 below peak (19,639)
  • +941 over 30 days · improving
  • -54 over 90 days
  • Next: Pink band at 20,000 — 3,034 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGOxOPREMIER16,966 · Purple bandcsdb.gg/stats

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Performance scores

Aim57
Positioning59
Utility66

0–100 skill scores via Leetify.

Recent form

HOT46–54Last 10046%Win rateWLWWLWWWLW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −1.8pp headshot accuracy · +36ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 541ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 549ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 531ms

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: Support — Utility contribution stands above the rest of this profile (+2.4 against its own average).

Aim5.7
Utility6.6
Positioning5.9
Opening Duels4.3
Clutch0.0

Strong T-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.

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 76% 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

CT openings. Opening success drops from 55% on T to 38% on CT — first contacts on the defending side are being lost.

Reaction time. 551ms 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

Aim5.7
Positioning5.9
Utility6.6
Mechanics5.2
Opening Duels4.1
Win Impact5.0

Composite 5.6/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time555ms−26ms
first ⅓ avg 581ms → last ⅓ avg 555ms
Headshot accuracy16.1%−1.8%
first ⅓ avg 17.9% → last ⅓ avg 16.1%

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

0.16Best match rating · 9–3 · inferno, 13 Jun →
33%Best headshot accuracy · 5–13 · ancient, 1 Sept →
422msFastest reaction time · 13–11 · dust2, 27 Sept →
13–0Biggest win · cache, 28 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 60% over 5ancientWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B3316–1748%0.01
infernoB147–750%-0.01
ancientD144–1029%-0.02
mirageC125–742%-0.02
cacheC94–544%0.00
nukeA95–456%-0.00
anubisA53–260%-0.01
overpass—31–233%-0.02
vertigo—11–0100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

28Matches
57%Win rate
1.31Avg K/D
85.2ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient20%1.1417.5
Inferno10%0.7512.0
Dust210%1.1218.0
Anubis1100%1.0014.0

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.

15.8%Headshot accuracy
32.4%Accuracy (enemy spotted)
33.2%Spray accuracy
73.6%Counter-strafing
10.6°Preaim
551msReaction time
55.3%T opening success
37.6%CT opening success
0.65Enemies flashed / flash
5.4%Flash assists
9.66HE damage / grenade
8.54Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.6283% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–60.0316%29 Sept →
dust22–13-0.0217%29 Sept →
mirage13–6-0.0714%29 Sept →
inferno13–70.0312%29 Sept →
mirage5–13-0.0811%27 Sept →
inferno13–6-0.0511%27 Sept →
cache13–80.0617%27 Sept →
dust213–110.0220%27 Sept →
dust210–130.1315%20 Sept →
nuke16–13-0.0011%20 Sept →
dust213–70.1419%16 Sept →
ancient8–13-0.0510%16 Sept →
anubis8–13-0.0319%5 Sept →
dust211–13-0.0019%5 Sept →
anubis13–110.0822%5 Sept →
anubis13–70.0515%5 Sept →
inferno16–140.018%5 Sept →
inferno9–13-0.0413%4 Sept →
mirage13–6-0.0226%4 Sept →
inferno13–60.0812%2 Sept →
ancient13–110.0213%2 Sept →
cache13–160.0321%2 Sept →
cache7–130.0218%2 Sept →
nuke11–130.038%1 Sept →
ancient5–130.0233%1 Sept →
ancient8–13-0.1126%30 Aug →
dust214–160.0114%29 Aug →
cache13–00.1533%28 Aug →
dust29–13-0.028%23 Aug →
dust29–13-0.017%21 Aug →
dust24–13-0.0112%15 Aug →
ancient10–13-0.0511%10 Aug →
mirage10–13-0.0320%10 Aug →
dust24–13-0.0513%10 Aug →
inferno16–130.0422%10 Aug →
mirage11–13-0.0324%9 Aug →
ancient6–13-0.050%8 Aug →
dust213–40.0322%8 Aug →
dust28–130.0416%8 Aug →
nuke13–10-0.0516%7 Aug →
cache2–13-0.0418%7 Aug →
dust211–13-0.0114%2 Aug →
ancient8–13-0.0312%2 Aug →
dust213–11-0.0220%1 Aug →
mirage4–13-0.078%1 Aug →
ancient11–13-0.0411%31 Jul →
dust213–11-0.0510%31 Jul →
dust213–90.0213%31 Jul →
dust24–13-0.0624%31 Jul →
mirage13–8-0.0216%31 Jul →
cache13–9-0.0122%31 Jul →
mirage7–13-0.0013%31 Jul →
nuke16–140.0418%30 Jul →
ancient13–40.0114%30 Jul →
dust213–11-0.0219%29 Jul →
cache8–13-0.0916%26 Jul →
nuke4–13-0.0515%26 Jul →
inferno9–13-0.0419%26 Jul →
dust213–8-0.0221%26 Jul →
cache9–13-0.1124%25 Jul →
inferno4–13-0.1019%25 Jul →
anubis13–7-0.0510%25 Jul →
dust213–40.0819%22 Jul →
inferno2–13-0.0624%21 Jul →
dust210–130.0022%19 Jul →
ancient13–100.028%19 Jul →
dust212–16-0.0219%19 Jul →
dust213–100.0316%19 Jul →
cache13–20.0327%19 Jul →
inferno13–9-0.0210%3 Jul →
dust213–8-0.0218%3 Jul →
overpass7–130.019%30 Jun →
dust213–11-0.0117%28 Jun →
overpass13–8-0.0220%28 Jun →
dust28–13-0.0226%28 Jun →
nuke16–140.0221%27 Jun →
dust213–90.0815%22 Jun →
dust29–130.0318%21 Jun →
anubis5–13-0.0821%20 Jun →
inferno7–9-0.0223%13 Jun →
inferno9–30.1619%13 Jun →
vertigo9–30.0512%13 Jun →
dust213–7-0.0019%13 Jun →
ancient3–13-0.0627%5 Jun →
inferno5–13-0.0316%31 May →
ancient13–50.0721%31 May →
overpass10–13-0.0510%30 May →
mirage11–130.0320%30 May →
dust210–130.0820%23 May →
nuke13–10-0.0117%23 May →
ancient9–130.0223%20 May →
dust213–100.0625%20 May →
nuke10–13-0.0518%18 May →
dust213–80.0517%18 May →
dust25–13-0.0617%17 May →
mirage10–130.0218%16 May →
mirage13–9-0.0416%16 May →
nuke9–130.0428%16 May →
inferno6–9-0.103%15 May →
ancient9–13-0.038%15 May →

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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