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.OzzCara

.OzzCara — CS2 Stats

US76561199069603907[U:1:1109338179]Steam profile ↗✓ No bans

336Tracked matches46%Win rate2025Tracked since
326Hours in CS6Hrs last 2 wks
CSDB Rating2.8 LearningSupport
Ladder ranks via Leetify

Performance scores

Aim28
Positioning22
Utility49

0–100 skill scores via Leetify.

Recent form

COLD46–49–5Last 10046%Win rateLTLLLLWWWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +3.0pp headshot accuracy · −77ms 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 575ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 560ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • 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 (+2.5 against its own average).

Aim2.8
Utility4.9
Positioning2.2
Opening Duels0.0

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

ZywOo

Plays most like ZywOo 71% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 624ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim2.8
Positioning2.2
Utility4.9
Mechanics2.5
Opening Duels0.0
Win Impact3.8

Composite 2.8/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time635ms−11ms
first ⅓ avg 646ms → last ⅓ avg 635ms
Headshot accuracy13.3%+1.5%
first ⅓ avg 11.9% → last ⅓ avg 13.3%

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

0.15Best match rating · 13–10 · nuke, 10 Sept →
36%Best headshot accuracy · 13–6 · dust2, 2 Oct →
469msFastest reaction time · 12–12 · mirage, 8 Oct →
13–1Biggest win · nuke, 12 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–4In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 51% over 69cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB6935–3451%0.00
cacheD82–625%-0.02
dust2C73–443%-0.03
anubisC52–340%-0.02
mirage—41–325%-0.05
vertigo—42–250%-0.02
train—20–20%0.00
ancient—11–0100%0.02

Across the last 100 tracked matches.

Lifetime stats

4,309Lifetime kills
0.74K/D
401Matches
38.9%Match win rate
41.6%Headshot %
0.0%Shot accuracy
393MVPs
137Hours (in match)
330Bombs planted
54Bombs defused

Most-used weapons

M4A4 / M4A1-S825
AK-47749
AWP498
P2000 / USP-S237
Glock-18207
MAC-10182
P90179
SSG 08177
MP7141
SG 553131

Lifetime map wins

1,147nuke
919dust2
223inferno
67vertigo
21train
2ar_baggage

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.

14.1%Headshot accuracy
31.2%Accuracy (enemy spotted)
29.9%Spray accuracy
61.2%Counter-strafing
12.2°Preaim
624msReaction time
14.1%T opening success
13.1%CT opening success
0.66Enemies flashed / flash
3.6%Flash assists
6.82HE damage / grenade
7.88Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2333° — above the 12° mark we flag

    Aim Training →
  2. 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 14.1067% — below the 15% mark we flag

    Aim Training →
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.

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

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
train8–130.0011%12 Oct →
mirage12–12-0.0417%8 Oct →
mirage10–13-0.0814%7 Oct →
cache4–13-0.0313%2 Oct →
cache1–13-0.150%2 Oct →
mirage5–13-0.0627%2 Oct →
dust213–60.0236%2 Oct →
nuke13–5-0.0314%30 Sept →
mirage7–1-0.000%29 Sept →
vertigo11–13-0.029%29 Sept →
nuke1–13-0.0311%25 Sept →
vertigo13–10-0.019%25 Sept →
vertigo4–13-0.050%25 Sept →
vertigo13–11-0.0116%24 Sept →
nuke5–13-0.0214%24 Sept →
nuke13–50.0414%19 Sept →
nuke7–13-0.015%19 Sept →
nuke4–13-0.0516%19 Sept →
nuke13–8-0.0715%19 Sept →
dust25–13-0.0811%19 Sept →
ancient13–100.0221%19 Sept →
nuke13–80.0711%18 Sept →
nuke9–60.0510%18 Sept →
anubis13–70.0219%18 Sept →
anubis4–20.0414%18 Sept →
anubis7–13-0.028%17 Sept →
dust23–13-0.0319%17 Sept →
cache12–12-0.068%14 Sept →
dust213–9-0.0526%14 Sept →
nuke5–13-0.0920%12 Sept →
nuke13–5-0.0511%12 Sept →
nuke10–130.038%12 Sept →
nuke13–6-0.0110%12 Sept →
nuke13–20.1416%11 Sept →
nuke13–100.1521%10 Sept →
nuke13–70.0810%6 Sept →
nuke8–13-0.0114%1 Sept →
nuke13–20.077%1 Sept →
nuke4–13-0.009%31 Aug →
nuke13–9-0.047%31 Aug →
dust27–20.0015%29 Aug →
cache13–50.0311%29 Aug →
cache13–90.0112%29 Aug →
cache4–130.1015%28 Aug →
cache2–13-0.037%27 Aug →
nuke10–13-0.009%25 Aug →
nuke6–13-0.0718%23 Aug →
nuke13–20.0814%22 Aug →
nuke13–70.1114%22 Aug →
nuke4–13-0.0520%22 Aug →
nuke13–60.1310%22 Aug →
nuke3–13-0.0912%22 Aug →
nuke13–10-0.025%22 Aug →
nuke0–13-0.0111%22 Aug →
nuke13–10-0.0225%20 Aug →
nuke13–11-0.032%20 Aug →
nuke2–13-0.045%20 Aug →
nuke13–110.025%18 Aug →
nuke2–13-0.0512%17 Aug →
nuke6–130.0310%17 Aug →
nuke7–13-0.088%17 Aug →
nuke13–110.0110%17 Aug →
nuke6–13-0.059%16 Aug →
nuke13–30.0619%16 Aug →
nuke13–50.033%16 Aug →
nuke13–110.0816%15 Aug →
nuke13–5-0.007%15 Aug →
nuke13–10-0.0111%15 Aug →
anubis10–13-0.155%15 Aug →
nuke6–13-0.0013%15 Aug →
nuke10–130.0111%15 Aug →
nuke7–90.0314%15 Aug →
nuke12–12-0.044%15 Aug →
nuke4–130.028%14 Aug →
nuke5–13-0.0817%14 Aug →
nuke13–70.0126%14 Aug →
nuke13–110.056%14 Aug →
nuke4–13-0.0014%14 Aug →
nuke8–130.0114%14 Aug →
nuke9–13-0.079%14 Aug →
nuke13–80.0222%14 Aug →
nuke13–110.018%14 Aug →
train0–50.000%14 Aug →
nuke11–13-0.048%14 Aug →
nuke13–60.0518%13 Aug →
nuke13–60.099%13 Aug →
nuke8–13-0.068%12 Aug →
nuke13–10.115%12 Aug →
nuke8–13-0.0415%10 Aug →
nuke12–12-0.0410%9 Aug →
nuke11–13-0.0416%5 Aug →
nuke9–7-0.0413%5 Aug →
nuke8–13-0.0213%5 Aug →
nuke13–30.0920%5 Aug →
nuke11–13-0.0916%30 Jul →
cache7–13-0.0715%30 Jul →
dust22–13-0.074%30 Jul →
dust29–130.0320%23 Jul →
nuke5–13-0.046%23 Jul →
anubis12–120.0313%22 Jul →

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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