ffIX Ozma

ffIX Ozma — CS2 Stats

GB76561198046889913[U:1:86624185]Steam profile ↗✓ No bans

431Tracked matches36%Win rate2024Tracked since
346Hours in CS
CSDB Rating2.3 LearningPositional Player
WingmanGold Nova I
Ladder ranks via Leetify

Performance scores

Aim26
Positioning46
Utility9

0–100 skill scores via Leetify.

Recent form

STEADY46–44–10Last 10046%Win rateWLWTWTLLTW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −1.7pp headshot accuracy · −73ms reaction

Win rate up 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 583ms

Last 10

  • 4–3–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 623ms

Last 20

  • 6–10–4 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 659ms

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 (+2.5 against its own average).

Aim2.6
Utility0.9
Positioning4.6
Opening Duels0.9

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

m0NESY

Plays most like m0NESY 70% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 645ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% 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

Aim2.6
Positioning4.6
Utility0.9
Mechanics2.0
Opening Duels1.2
Win Impact0.3

Composite 2.3/10 (Learning), 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-0.03+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time641ms+17ms
first ⅓ avg 623ms → last ⅓ avg 641ms
Headshot accuracy18.2%+7.6%
first ⅓ avg 10.6% → last ⅓ avg 18.2%

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

0.13Best match rating · 2–2 · cache, 13 Jun →
42%Best headshot accuracy · 13–6 · nuke, 1 Jul →
430msFastest reaction time · 9–13 · office, 30 Jun →
13–0Biggest win · vertigo, 11 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–8In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 85% over 13officeWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
nukeC4118–2344%-0.04
officeD175–1229%-0.04
vertigoB136–746%-0.02
cacheS1311–285%-0.03
trainB84–450%-0.05
warden—20–20%0.00
mirage—20–20%-0.02
shelter—10–10%-0.08
stronghold—10–10%-0.02
anubis—11–0100%-0.02
dust2—11–0100%-0.08

Across the last 100 tracked matches.

Lifetime stats

12,698Lifetime kills
0.86K/D
1,074Matches
43.1%Match win rate
35.0%Headshot %
5.4%Shot accuracy
1,660MVPs
346Hours (in match)
754Bombs planted
132Bombs defused

Most-used weapons

Lifetime map wins

1,573office
1,325nuke
1,173inferno
704dust2
591vertigo
113train
92italy
60assault

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.

18.7%Headshot accuracy
25.5%Accuracy (enemy spotted)
27.2%Spray accuracy
59.2%Counter-strafing
10.6°Preaim
645msReaction time
27.6%T opening success
39.8%CT opening success
0.13Enemies flashed / flash
5.4%Flash assists
2.95HE damage / grenade
0.37Flashes / 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 0.1334 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 27.6221% — below the 40% mark we flag

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.

44% win rate across 41 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.0128%19 Jul →
office11–13-0.0420%18 Jul →
nuke13–70.0811%18 Jul →
nuke12–12-0.0310%18 Jul →
vertigo13–10-0.0014%11 Jul →
shelter12–12-0.0818%10 Jul →
nuke11–13-0.1018%8 Jul →
vertigo10–13-0.0121%8 Jul →
nuke12–120.0012%7 Jul →
office13–8-0.013%7 Jul →
warden7–130.028%6 Jul →
stronghold12–12-0.0212%5 Jul →
office6–13-0.0914%5 Jul →
nuke1–13-0.069%5 Jul →
train10–13-0.0913%5 Jul →
vertigo13–6-0.0018%4 Jul →
nuke9–13-0.0721%4 Jul →
nuke9–13-0.0723%4 Jul →
office13–60.0114%4 Jul →
nuke0–11-0.0440%4 Jul →
vertigo13–7-0.0411%4 Jul →
vertigo5–130.0031%2 Jul →
train0–11-0.0614%1 Jul →
nuke5–13-0.129%1 Jul →
cache13–6-0.066%1 Jul →
nuke12–12-0.0330%1 Jul →
nuke13–6-0.0742%1 Jul →
vertigo1–13-0.0136%1 Jul →
office9–13-0.0429%30 Jun →
office6–130.0141%30 Jun →
nuke13–60.0219%30 Jun →
train12–5-0.090%30 Jun →
nuke13–5-0.0411%30 Jun →
nuke10–13-0.0720%30 Jun →
train13–8-0.066%29 Jun →
vertigo1–8-0.0613%29 Jun →
office6–13-0.049%29 Jun →
vertigo10–13-0.0522%29 Jun →
cache13–11-0.0714%29 Jun →
office8–13-0.0316%29 Jun →
nuke13–11-0.0918%27 Jun →
office13–5-0.0511%27 Jun →
vertigo13–4-0.0229%27 Jun →
cache13–10-0.0319%26 Jun →
vertigo2–13-0.046%26 Jun →
nuke7–13-0.0224%26 Jun →
office11–13-0.1018%26 Jun →
nuke12–12-0.0614%26 Jun →
train13–90.0313%24 Jun →
vertigo13–4-0.008%24 Jun →
office6–13-0.0322%24 Jun →
nuke6–13-0.050%24 Jun →
nuke13–90.0312%18 Jun →
cache13–10.0317%18 Jun →
office9–13-0.006%18 Jun →
train6–13-0.062%17 Jun →
nuke12–12-0.0711%17 Jun →
nuke13–2-0.0417%17 Jun →
nuke13–90.0413%15 Jun →
mirage9–13-0.0011%15 Jun →
nuke5–00.0833%15 Jun →
nuke13–6-0.049%15 Jun →
train13–10.013%15 Jun →
vertigo12–120.0011%14 Jun →
anubis13–6-0.0218%14 Jun →
cache13–10-0.078%14 Jun →
nuke13–8-0.017%14 Jun →
office13–6-0.068%14 Jun →
cache13–6-0.038%14 Jun →
nuke11–13-0.109%14 Jun →
nuke13–8-0.027%14 Jun →
nuke9–130.0513%14 Jun →
office11–13-0.068%13 Jun →
cache12–2-0.037%13 Jun →
cache2–20.130%13 Jun →
nuke13–70.0111%13 Jun →
office7–13-0.0228%12 Jun →
nuke13–9-0.0811%12 Jun →
nuke12–12-0.0318%12 Jun →
nuke8–13-0.080%12 Jun →
cache13–3-0.056%12 Jun →
nuke13–70.0114%12 Jun →
nuke13–10-0.0411%11 Jun →
cache13–30.0023%11 Jun →
cache13–6-0.0012%11 Jun →
dust213–11-0.083%11 Jun →
office11–13-0.0323%11 Jun →
vertigo13–00.000%11 Jun →
office2–0-0.120%11 Jun →
warden11–13-0.0111%11 Jun →
nuke13–5-0.0912%11 Jun →
nuke12–12-0.068%11 Jun →
nuke9–13-0.0813%11 Jun →
nuke7–13-0.0516%11 Jun →
train8–13-0.0411%11 Jun →
nuke1–5-0.0320%11 Jun →
mirage5–13-0.0513%10 Jun →
nuke4–13-0.0713%10 Jun →
cache13–8-0.0716%10 Jun →
cache0–4-0.100%10 Jun →

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 →

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