00M oXygg 500

00M oXygg 500 — CS2 Stats

BG76561199067824720[U:1:1107558992]Steam profile ↗✓ No bans

2,178Tracked matches40%Win rate2021Tracked since
3,418Hours in CS9Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
CSDB Leaderboard#64991 of 261653 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,448 +518 10 Sept – 4 Oct · 5 days played
20,46221,448peak 21,44810 Sept4 Oct
21,448Peak Premier in tracked matches
28Days played since 2026-09-10

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

Performance scores

Aim73
Positioning63
Utility38

0–100 skill scores via Leetify.

Recent form

COLD48–44–8Last 10048%Win rateLLLWLWLLTW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −0.5pp headshot accuracy · +56ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 655ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 29%
  • Avg reaction 621ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 29%
  • Avg reaction 593ms

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 (+1.6 against its own average).

Aim7.3
Utility3.8
Positioning6.3
Opening Duels4.5
Clutch4.0

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

donk

Plays most like donk 94% 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

Strengths

T openings. 68% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 68% on T to 46% on CT — first contacts on the defending side are being lost.

Reaction time. 587ms 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

Aim7.3
Positioning6.3
Utility3.8
Mechanics6.6
Opening Duels6.8
Win Impact1.7

Composite 5.9/10 (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 rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time589ms+0ms
first ⅓ avg 589ms → last ⅓ avg 589ms
Headshot accuracy28.6%−1.5%
first ⅓ avg 30.1% → last ⅓ avg 28.6%

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

0.24Best match rating · 9–2 · overpass, 1 Oct →
53%Best headshot accuracy · 9–4 · inferno, 1 Oct →
375msFastest reaction time · 9–4 · inferno, 1 Oct →
11–1Biggest win · mirage, 3 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
9–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 63% over 8vertigoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB5328–2553%0.04
vertigoD113–827%-0.01
ancientA85–363%0.04
mirageA74–357%0.03
nuke—40–40%0.01
anubis—41–325%0.04
train—32–167%0.02
dust2—32–167%0.02
cache—21–150%0.02
overpass—22–0100%0.12
italy—10–10%0.02
office—10–10%-0.05
poseidon—10–10%-0.08

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

85,836Lifetime kills
0.91K/D
5,072Matches
42.0%Match win rate
54.0%Headshot % · Top 25% of tracked players
3.9%Shot accuracy
13,400MVPs
2,617Hours (in match)
2,847Bombs planted
1,058Bombs defused

Most-used weapons

AK-4733,240
AWP7,194
MP92,414
FAMAS2,069
SSG 081,564

Lifetime map wins

8,583inferno
6,719dust2
1,582nuke
1,570vertigo
657train
167lake
65office
62italy

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

Faceit stats

Combat

136Matches
47%Win rate
1.01Avg K/D
85.3ADR
54%Headshot %

Clutches & streaks

40%1v1 clutch win
33%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5052%1.0115.6
Inferno2343%1.1318.9
Dust22352%0.9112.6
Anubis2035%1.0616.1
Ancient967%1.1918.4
Nuke450%0.9815.3
Train10%0.9520.0
Overpass10%0.9415.0

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.

27.6%Headshot accuracy
30.0%Accuracy (enemy spotted)
30.6%Spray accuracy
79.9%Counter-strafing
9.0°Preaim
587msReaction time
68.4%T opening success
46.2%CT opening success
0.44Enemies flashed / flash
7.0%Flash assists
7.67HE damage / grenade
3.18Flashes / 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. 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 0.4366 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Vertigo

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0427%12 Nov →
vertigo7–13-0.0621%12 Nov →
inferno10–130.0131%12 Nov →
cache13–5-0.0523%12 Nov →
italy11–130.0230%12 Nov →
mirage13–90.1235%12 Nov →
vertigo10–13-0.0235%11 Nov →
vertigo4–13-0.0422%5 Nov →
inferno8–8-0.0826%31 Oct →
inferno13–6-0.0036%30 Oct →
vertigo10–130.0423%30 Oct →
office3–13-0.0535%29 Oct →
ancient2–80.0526%28 Oct →
inferno3–130.0021%27 Oct →
nuke14–160.0027%26 Oct →
anubis4–130.0029%26 Oct →
inferno9–30.1727%25 Oct →
inferno9–60.0735%25 Oct →
inferno0–9-0.2533%25 Oct →
inferno9–30.0335%25 Oct →
mirage4–13-0.0224%24 Oct →
train13–50.1035%23 Oct →
cache5–130.0941%23 Oct →
inferno9–40.0829%21 Oct →
inferno9–20.1826%21 Oct →
ancient13–110.0135%20 Oct →
mirage13–80.0023%20 Oct →
inferno9–20.0131%20 Oct →
inferno7–90.1225%20 Oct →
inferno6–90.0332%20 Oct →
ancient13–110.0225%16 Oct →
dust23–13-0.0520%16 Oct →
inferno13–90.0224%14 Oct →
anubis8–130.0628%14 Oct →
inferno8–80.1423%14 Oct →
inferno5–9-0.1126%14 Oct →
inferno9–50.1227%14 Oct →
inferno13–50.0422%14 Oct →
ancient13–40.0828%14 Oct →
inferno9–7-0.0438%14 Oct →
inferno6–9-0.1525%14 Oct →
inferno9–40.1840%14 Oct →
train9–13-0.0133%12 Oct →
inferno9–7-0.0531%11 Oct →
inferno8–80.0532%11 Oct →
inferno9–20.2141%11 Oct →
inferno9–50.1337%10 Oct →
inferno3–9-0.0415%10 Oct →
mirage4–130.0115%10 Oct →
inferno9–30.1211%10 Oct →
inferno3–9-0.1424%10 Oct →
inferno9–70.0740%10 Oct →
inferno9–40.0538%9 Oct →
mirage13–50.0227%9 Oct →
overpass13–8-0.0024%9 Oct →
train13–7-0.0231%9 Oct →
vertigo13–50.0638%9 Oct →
inferno6–90.1319%9 Oct →
inferno4–9-0.0325%9 Oct →
nuke12–120.0431%8 Oct →
anubis13–110.0522%8 Oct →
inferno1–9-0.1427%5 Oct →
inferno4–9-0.0326%5 Oct →
inferno9–50.2348%5 Oct →
ancient13–100.0535%4 Oct →
inferno13–9-0.0319%4 Oct →
inferno8–80.0229%4 Oct →
anubis7–130.0538%4 Oct →
dust213–110.0427%4 Oct →
inferno8–80.1328%4 Oct →
inferno5–9-0.0130%4 Oct →
dust213–70.0828%3 Oct →
mirage11–10.0724%3 Oct →
inferno4–9-0.0635%3 Oct →
nuke8–13-0.0136%1 Oct →
ancient13–30.1235%1 Oct →
vertigo10–130.0330%1 Oct →
inferno9–40.1353%1 Oct →
inferno9–40.1352%1 Oct →
inferno8–80.1126%1 Oct →
nuke8–80.0150%1 Oct →
poseidon6–9-0.0824%1 Oct →
overpass9–20.2440%1 Oct →
vertigo9–60.0225%1 Oct →
inferno9–50.0432%1 Oct →
inferno9–40.0529%1 Oct →
inferno9–40.1111%1 Oct →
inferno9–70.0929%30 Sept →
inferno9–60.1224%30 Sept →
inferno9–70.0235%30 Sept →
vertigo4–6-0.0240%30 Sept →
vertigo7–130.0125%30 Sept →
inferno10–130.0128%30 Sept →
inferno8–13-0.0324%29 Sept →
inferno4–13-0.0328%29 Sept →
inferno1–7-0.0520%29 Sept →
vertigo0–13-0.095%29 Sept →
mirage2–13-0.0029%29 Sept →
ancient1–13-0.0126%28 Sept →
vertigo13–100.0226%28 Sept →

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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