ozM

ozM — CS2 Stats

FX76561197978986570[U:1:18720842]Steam profile ↗✓ No bans

1,821Tracked matches41%Win rate2023Tracked since
2,633Hours in CS31Hrs last 2 wks
CSDB Rating6.6 SolidSupport
Premier CS Rating19,419Top 50% of 215,386 CSDB-tracked playersPurple band · top ~10.8% of ranked players (population est.)
CSDB Leaderboard#95062 of 261545 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 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: 19,419 -1,224 5 Sept – 11 Nov · 29 days played
17,82420,997peak 20,9975 Sept11 Nov
20,997Peak Premier in tracked matches
28Days played since 2026-09-05

Premier CS Rating

  • 1,578 below peak (20,997)
  • -580 over 30 days · declining
  • Next: Pink band at 20,000 — 581 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-05
  • Purple band first seen 2026-09-05

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

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate49.6%46.8%48.2%above
Shot accuracy6.8%13.0%13.2%6.4% short
Kill/death ratio0.911.061.070.16 short
Match win rate48.0%46.3%46.9%above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGozMFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER19,419 · Purple bandcsdb.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
Positioning66
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLWLWWWLWLL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −2.0pp headshot accuracy · −63ms 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 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 619ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 567ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 599ms

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 (+1.6 against its own average).

Aim7.2
Utility7.4
Positioning6.6
Opening Duels5.5
Clutch3.6

Effective flashes

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

m0NESY

Plays most like m0NESY 81% 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

Strengths

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

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 604ms 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
Positioning6.6
Utility7.4
Mechanics7.1
Opening Duels7.6
Win Impact2.1

Composite 6.6/10 (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 time601ms+50ms
first ⅓ avg 551ms → last ⅓ avg 601ms
Headshot accuracy16.9%−1.9%
first ⅓ avg 18.7% → last ⅓ avg 16.9%

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

0.14Best match rating · 13–4 · inferno, 21 Oct →
36%Best headshot accuracy · 9–13 · inferno, 11 Oct →
406msFastest reaction time · 1–13 · anubis, 7 Oct →
13–1Biggest win · dust2, 24 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
14–3In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 67% over 21nukeWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2S2114–767%0.03
infernoA2011–955%0.03
mirageD185–1328%-0.01
ancientB137–654%0.01
anubisC114–736%-0.01
nukeD82–625%-0.00
cacheS64–267%0.01
poseidon—11–0100%-0.10
overpass—11–0100%0.08
train—10–10%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,641Lifetime kills
0.91K/D
2,993Matches
48.0%Match win rate · Top 50% of Level 8 players
49.6%Headshot % · Top 50% of Level 8 players
6.8%Shot accuracy
6,754MVPs
1,421Hours (in match)
2,549Bombs planted
693Bombs defused

Most-used weapons

Lifetime map wins

10,409dust2
6,593inferno
1,926nuke
441vertigo
311train
15assault
14cbble
11stmarc

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

Faceit stats

Combat

326Matches
54%Win rate
1.10Avg K/D
82.9ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
26%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust25859%1.2616.8
Mirage5256%0.9614.9
Inferno3956%0.9915.1
Ancient2357%1.0716.5
Anubis1724%1.0515.5
Nuke1669%1.1216.3
Overpass1573%1.1917.4
Vertigo250%0.5715.0

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.

16.7%Headshot accuracy
37.2%Accuracy (enemy spotted)
41.3%Spray accuracy
81.8%Counter-strafing
10.9°Preaim
604msReaction time
67.6%T opening success
53.1%CT opening success
0.79Enemies flashed / flash
6.7%Flash assists
17.05HE damage / grenade
11.90Flashes / match

Recommended for you

Spend your practice time on Nuke

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–130.0814%11 Nov →
anubis13–90.0322%11 Nov →
inferno9–130.0414%9 Nov →
dust216–130.0212%9 Nov →
poseidon9–7-0.1025%9 Nov →
inferno9–20.0826%9 Nov →
mirage11–13-0.0412%8 Nov →
dust213–5-0.0211%8 Nov →
cache3–130.0021%8 Nov →
dust211–130.0110%8 Nov →
dust29–130.0521%6 Nov →
mirage13–16-0.0217%6 Nov →
nuke6–130.1120%6 Nov →
inferno16–130.1020%6 Nov →
mirage10–130.0320%6 Nov →
dust215–15-0.0218%5 Nov →
inferno6–13-0.0018%5 Nov →
nuke13–5-0.0016%5 Nov →
dust213–110.0318%4 Nov →
inferno13–11-0.0320%4 Nov →
cache13–50.0718%4 Nov →
nuke8–13-0.058%4 Nov →
mirage7–13-0.0419%2 Nov →
mirage8–13-0.0215%2 Nov →
anubis5–130.0920%2 Nov →
nuke5–13-0.0317%2 Nov →
dust29–130.0216%2 Nov →
dust213–30.0414%2 Nov →
ancient13–60.0218%1 Nov →
inferno13–4-0.057%1 Nov →
mirage8–13-0.0830%1 Nov →
anubis13–110.0215%1 Nov →
nuke4–13-0.056%31 Oct →
dust213–80.0613%31 Oct →
inferno6–13-0.0517%31 Oct →
overpass13–80.0816%31 Oct →
dust213–80.1114%31 Oct →
cache9–70.0523%31 Oct →
mirage13–11-0.0217%28 Oct →
mirage10–13-0.0416%28 Oct →
inferno11–13-0.0510%28 Oct →
mirage13–11-0.0211%28 Oct →
anubis1–13-0.0215%28 Oct →
inferno13–50.0711%27 Oct →
inferno8–130.0715%26 Oct →
cache13–8-0.0715%26 Oct →
nuke10–13-0.0418%25 Oct →
mirage13–110.0018%25 Oct →
inferno8–13-0.0820%25 Oct →
dust29–130.0118%25 Oct →
ancient13–6-0.0010%25 Oct →
dust213–90.0213%25 Oct →
dust213–4-0.0110%24 Oct →
ancient5–13-0.0314%24 Oct →
anubis16–14-0.0416%24 Oct →
ancient16–130.0819%24 Oct →
cache13–60.0519%24 Oct →
dust213–10.1325%24 Oct →
mirage16–13-0.0216%22 Oct →
dust210–13-0.0517%22 Oct →
mirage13–70.1019%22 Oct →
mirage9–130.0519%22 Oct →
inferno13–110.1014%22 Oct →
anubis10–13-0.0018%21 Oct →
inferno13–40.1413%21 Oct →
ancient13–9-0.0315%21 Oct →
ancient13–110.0416%21 Oct →
ancient8–13-0.029%20 Oct →
mirage15–150.0111%20 Oct →
ancient13–8-0.0215%19 Oct →
mirage8–13-0.0418%19 Oct →
ancient8–13-0.0719%19 Oct →
anubis6–13-0.0821%19 Oct →
ancient9–13-0.0116%18 Oct →
inferno10–130.0317%15 Oct →
mirage8–130.0313%15 Oct →
mirage9–13-0.099%15 Oct →
mirage5–13-0.0016%14 Oct →
dust213–60.0224%12 Oct →
nuke13–70.0434%12 Oct →
dust29–13-0.0214%12 Oct →
inferno13–70.1121%12 Oct →
anubis15–15-0.0023%12 Oct →
inferno9–13-0.0336%11 Oct →
ancient9–130.0321%11 Oct →
anubis13–70.0015%11 Oct →
dust213–60.1119%11 Oct →
inferno13–6-0.0223%10 Oct →
ancient16–140.0110%10 Oct →
ancient7–130.0917%9 Oct →
inferno13–110.0614%7 Oct →
nuke8–13-0.0119%7 Oct →
dust213–11-0.0227%7 Oct →
dust213–80.1115%7 Oct →
anubis1–13-0.099%7 Oct →
cache10–13-0.0529%6 Oct →
inferno13–6-0.0128%6 Oct →
dust213–9-0.0225%6 Oct →
anubis9–130.0412%6 Oct →
train8–13-0.0517%5 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.