Acoz

Acoz — CS2 Stats

FI76561198096531880[U:1:136266152]Steam profile ↗✓ No bans

1,756Tracked matches50%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

+118Tracked matches · now 1,756
+10.0ppWin rate · 40.0% → 50.0%

Rating over time

48Days played since 2026-06-29

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGAcozFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning71
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY56–44Last 10056%Win rateWLWLWWLWLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −2.6pp headshot accuracy · +47ms 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 14%
  • Avg reaction 600ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 543ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 520ms

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 (+1.3 against its own average).

Aim5.8
Utility6.8
Positioning7.1
Opening Duels5.7
Clutch3.8

Strong CT-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

device

Plays most like device 69% 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

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 64% on CT to 46% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim5.8
Positioning7.1
Utility6.8
Mechanics5.0
Opening Duels6.1
Win Impact5.0

Composite 6.0/10 (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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time514ms−59ms
first ⅓ avg 573ms → last ⅓ avg 514ms
Headshot accuracy13.5%−2.7%
first ⅓ avg 16.2% → last ⅓ avg 13.5%

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

0.17Best match rating · 13–2 · mirage, 1 Aug →
32%Best headshot accuracy · 5–13 · nuke, 16 Aug →
359msFastest reaction time · 13–10 · ancient, 29 Aug →
13–2Biggest win · mirage, 1 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 80% over 5cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
ancientA2514–1156%-0.01
mirageB2413–1154%-0.01
anubisA1610–663%0.01
nukeS1410–471%-0.00
dust2B84–450%-0.00
cacheD61–517%-0.00
infernoS54–180%0.01
vertigo—10–10%-0.08
overpass—10–10%-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

2,821Matches
50%Win rate
1.06Avg K/D
76.3ADR
40%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage36650%0.9814.5
Ancient20452%1.0315.6
Anubis15748%1.0915.6
Nuke15451%1.0014.2
Dust215249%1.0715.3
Inferno10856%1.1414.9
Cache10150%1.0214.8
Overpass3534%1.0415.2

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.

13.1%Headshot accuracy
31.9%Accuracy (enemy spotted)
34.8%Spray accuracy
72.6%Counter-strafing
9.9°Preaim
521msReaction time
45.6%T opening success
63.5%CT opening success
0.59Enemies flashed / flash
6.6%Flash assists
9.50HE damage / grenade
15.31Flashes / 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. 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 13.1272% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient13–90.0415%4 Oct →
dust29–13-0.019%4 Oct →
nuke13–9-0.0121%4 Oct →
cache13–16-0.0210%4 Oct →
anubis13–40.0413%4 Oct →
mirage13–10-0.0013%4 Oct →
anubis6–100.0511%3 Oct →
nuke16–14-0.0515%30 Sept →
ancient2–13-0.079%29 Sept →
nuke16–19-0.049%28 Sept →
ancient11–13-0.0011%28 Sept →
mirage13–11-0.039%28 Sept →
inferno13–11-0.0116%28 Sept →
dust213–50.0321%28 Sept →
anubis16–130.0423%27 Sept →
ancient10–13-0.0116%22 Sept →
cache5–130.0216%22 Sept →
mirage13–90.0112%21 Sept →
dust29–13-0.0110%20 Sept →
anubis13–4-0.0717%20 Sept →
anubis10–13-0.029%13 Sept →
mirage13–11-0.0217%13 Sept →
anubis7–13-0.037%12 Sept →
dust24–4-0.0120%12 Sept →
mirage4–13-0.0710%7 Sept →
ancient13–110.0710%5 Sept →
anubis18–22-0.0413%4 Sept →
cache13–16-0.0121%4 Sept →
ancient16–13-0.018%2 Sept →
nuke6–13-0.028%30 Aug →
ancient13–11-0.0417%29 Aug →
ancient13–10-0.055%29 Aug →
cache13–100.0525%29 Aug →
mirage13–60.0414%29 Aug →
ancient9–130.0313%29 Aug →
ancient13–90.0019%29 Aug →
vertigo8–13-0.0823%28 Aug →
mirage10–13-0.0510%24 Aug →
ancient5–13-0.0028%23 Aug →
ancient6–130.0016%21 Aug →
mirage3–13-0.104%21 Aug →
ancient7–13-0.0513%18 Aug →
ancient7–13-0.0514%18 Aug →
mirage10–13-0.0316%18 Aug →
mirage10–13-0.0121%18 Aug →
nuke5–13-0.0632%16 Aug →
inferno13–70.0120%16 Aug →
ancient13–70.0119%15 Aug →
ancient19–16-0.029%14 Aug →
nuke13–8-0.0110%14 Aug →
mirage11–13-0.0019%14 Aug →
cache11–13-0.0223%13 Aug →
cache3–13-0.0321%13 Aug →
nuke13–60.0315%13 Aug →
nuke13–70.0017%12 Aug →
nuke13–100.0315%9 Aug →
nuke13–70.0011%9 Aug →
anubis16–140.0017%8 Aug →
nuke13–80.056%7 Aug →
anubis13–100.016%7 Aug →
mirage9–13-0.0319%5 Aug →
anubis6–13-0.0614%2 Aug →
dust211–130.0026%2 Aug →
nuke13–90.0120%2 Aug →
nuke10–130.019%1 Aug →
mirage13–20.1714%1 Aug →
anubis7–130.0214%1 Aug →
anubis13–20.1618%1 Aug →
ancient13–8-0.0217%30 Jul →
anubis13–80.0521%28 Jul →
ancient2–13-0.0615%27 Jul →
nuke13–5-0.0120%21 Jul →
mirage13–50.0311%17 Jul →
ancient13–6-0.0315%11 Jul →
ancient13–100.0014%9 Jul →
ancient13–80.0220%9 Jul →
mirage13–110.0121%9 Jul →
anubis13–50.0613%9 Jul →
mirage17–19-0.0113%8 Jul →
mirage13–90.0012%8 Jul →
mirage13–80.0119%6 Jul →
mirage13–6-0.0610%5 Jul →
mirage14–16-0.019%5 Jul →
dust27–13-0.0220%5 Jul →
overpass7–13-0.0111%4 Jul →
ancient8–13-0.0314%4 Jul →
ancient13–50.0119%4 Jul →
anubis13–10-0.0216%4 Jul →
mirage13–6-0.0014%3 Jul →
ancient13–60.0813%3 Jul →
mirage5–13-0.0512%3 Jul →
ancient11–130.0215%3 Jul →
dust213–50.0222%3 Jul →
dust213–6-0.0021%3 Jul →
mirage13–40.0621%3 Jul →
inferno13–10-0.0212%2 Jul →
inferno11–130.0419%2 Jul →
inferno13–80.0420%2 Jul →
anubis13–100.0114%30 Jun →
mirage5–13-0.0222%29 Jun →

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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