AceTen

AceTen — CS2 Stats

PT76561198045960909[U:1:85695181]Steam profile ↗✓ No bans

1,527Tracked matches59%Win rate2023Tracked since
2,709Hours in CS14Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Premier CS Rating16,019Purple band · top ~24.3% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+364Premier CS Rating · 15,655 → 16,019

Rating over time

Premier CS Rating: 16,019 +6,785 25 Jun – 11 Oct · 41 days played
9,23416,264peak 16,26425 Jun11 Oct
16,264Peak Premier in tracked matches
47Days played since 2026-06-25

Premier CS Rating

  • 245 below peak (16,264)
  • +1,019 over 30 days · improving
  • +6,138 over 90 days
  • Next: Pink band at 20,000 — 3,981 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches79——
Win rate48%——
K/D0.79——
Headshot %43%——

Measured 11 Sep 2026 → 11 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,051), 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 3 medianLevel 4 medianvs Level 4
Headshot rate41.9%41.8%42.7%meets
Shot accuracy0.4%12.2%11.3%10.8% short
Kill/death ratio0.740.980.990.26 short
Match win rate43.9%43.3%43.9%meets

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

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAceTenFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER16,019 · 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

Aim56
Positioning41
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY58–39–3Last 10058%Win rateWTLWLWWWWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +0.6pp headshot accuracy · +84ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 624ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 651ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 609ms

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 (+2.9 against its own average).

Aim5.6
Utility6.4
Positioning4.1
Opening Duels0.0
Clutch3.6

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

Twistzz

Plays most like Twistzz 74% 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

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.

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

Aim5.6
Positioning4.1
Utility6.4
Mechanics5.6
Opening Duels0.8
Win Impact7.9

Composite 5.2/10 (Developing), 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 time625ms−44ms
first ⅓ avg 669ms → last ⅓ avg 625ms
Headshot accuracy14.4%+0.2%
first ⅓ avg 14.2% → last ⅓ avg 14.4%

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 · 13–0 · inferno, 18 Jul →
43%Best headshot accuracy · 9–13 · dust2, 17 Jul →
469msFastest reaction time · 8–13 · inferno, 10 Oct →
13–0Biggest win · nuke, 31 Aug →

Across the last 100 tracked matches.

Highlights

10Longest win streak
12–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 75% over 8ancientWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
infernoA2916–1355%-0.03
dust2A2717–1063%-0.02
nukeA1610–663%-0.00
ancientC146–843%-0.02
cacheS86–275%-0.02
mirage—41–325%-0.05
anubis—22–0100%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,194Lifetime kills
0.74K/D
3,748Matches
43.9%Match win rate · Top 50% of Level 3 players
41.9%Headshot % · Top 50% of Level 3 players
0.4%Shot accuracy
3,405MVPs
1,275Hours (in match)
3,482Bombs planted
526Bombs defused

Most-used weapons

AK-4713,401
MP92,120
MAC-102,015
HE Grenade596

Lifetime map wins

5,776dust2
4,665inferno
2,918nuke
2,040vertigo
564train
42office
28bank
14dust

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

Faceit stats

Combat

97Matches
49%Win rate
0.79Avg K/D
63.0ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
16%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno3060%0.7711.4
Anubis2945%0.8111.8
Ancient1953%0.8411.3
Nuke743%0.7311.3
Mirage633%0.8412.3
Dust2333%0.568.3
Train333%0.7814.0

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.

14.4%Headshot accuracy
33.9%Accuracy (enemy spotted)
42.5%Spray accuracy
75.3%Counter-strafing
11.7°Preaim
624msReaction time
28.1%T opening success
36.5%CT opening success
0.63Enemies flashed / flash
5.3%Flash assists
11.21HE damage / grenade
10.27Flashes / 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 14.4055% — below the 15% mark we flag

    Aim Training →
  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 28.0507% — below the 40% mark we flag

Spend your practice time on Ancient

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–6-0.057%11 Oct →
nuke15–15-0.0618%10 Oct →
inferno8–13-0.0627%10 Oct →
inferno13–1-0.0510%7 Oct →
inferno10–130.0014%7 Oct →
dust213–110.0515%5 Oct →
dust213–4-0.0631%5 Oct →
anubis13–90.019%5 Oct →
mirage13–11-0.0511%4 Oct →
inferno7–13-0.0316%4 Oct →
inferno7–13-0.0617%1 Oct →
nuke13–50.0212%1 Oct →
inferno13–11-0.0316%29 Sept →
nuke9–13-0.0315%26 Sept →
nuke10–13-0.0110%26 Sept →
cache13–60.0220%26 Sept →
ancient13–9-0.0010%26 Sept →
dust213–90.0620%25 Sept →
dust216–13-0.0224%23 Sept →
inferno13–10-0.058%22 Sept →
ancient2–13-0.076%22 Sept →
dust26–13-0.0417%21 Sept →
dust213–3-0.0110%21 Sept →
dust214–16-0.0210%21 Sept →
cache7–13-0.0213%21 Sept →
dust213–8-0.0410%20 Sept →
dust213–10-0.0013%16 Sept →
ancient8–13-0.028%16 Sept →
inferno3–13-0.0521%16 Sept →
dust213–1-0.0112%16 Sept →
dust213–9-0.0217%15 Sept →
inferno11–13-0.0420%8 Sept →
inferno11–13-0.068%8 Sept →
anubis13–5-0.0528%6 Sept →
dust215–15-0.0112%2 Sept →
nuke13–110.0317%2 Sept →
nuke13–60.0515%1 Sept →
nuke13–11-0.0517%1 Sept →
nuke13–7-0.0515%1 Sept →
inferno13–110.0516%31 Aug →
nuke13–00.0523%31 Aug →
dust27–13-0.0318%25 Aug →
inferno13–40.0428%25 Aug →
inferno13–9-0.0117%21 Aug →
ancient13–3-0.0212%21 Aug →
dust210–13-0.0425%21 Aug →
ancient11–13-0.0715%20 Aug →
cache13–11-0.0414%19 Aug →
ancient11–13-0.0012%19 Aug →
dust27–13-0.0012%17 Aug →
inferno13–20.013%17 Aug →
inferno13–9-0.035%17 Aug →
cache4–13-0.0911%16 Aug →
inferno11–13-0.0913%16 Aug →
dust213–110.0113%16 Aug →
dust28–13-0.0724%16 Aug →
inferno8–13-0.043%15 Aug →
dust213–9-0.0412%13 Aug →
inferno13–11-0.1011%13 Aug →
dust213–8-0.0512%12 Aug →
ancient8–13-0.0417%12 Aug →
ancient6–130.0123%12 Aug →
ancient10–13-0.0612%10 Aug →
inferno5–13-0.089%10 Aug →
nuke13–30.0214%10 Aug →
cache16–120.0125%5 Aug →
nuke13–50.0012%5 Aug →
inferno16–13-0.0513%4 Aug →
nuke8–13-0.0222%3 Aug →
cache13–110.0412%3 Aug →
dust213–9-0.0117%2 Aug →
mirage10–13-0.0718%2 Aug →
ancient13–20.0510%29 Jul →
dust29–130.0112%29 Jul →
inferno14–16-0.0420%28 Jul →
nuke13–6-0.0224%28 Jul →
inferno16–13-0.0316%26 Jul →
ancient13–9-0.0116%26 Jul →
nuke16–130.0116%23 Jul →
cache13–10-0.0310%23 Jul →
inferno13–20.0514%23 Jul →
dust213–11-0.0012%18 Jul →
dust213–6-0.0212%18 Jul →
inferno13–00.1321%18 Jul →
inferno13–0-0.037%17 Jul →
dust29–130.0543%17 Jul →
ancient13–6-0.0112%15 Jul →
mirage4–13-0.064%10 Jul →
inferno5–13-0.040%10 Jul →
dust213–4-0.0815%10 Jul →
nuke10–130.0015%8 Jul →
ancient12–120.0114%8 Jul →
dust29–13-0.057%3 Jul →
inferno13–70.0215%3 Jul →
nuke10–130.0018%30 Jun →
ancient16–13-0.054%30 Jun →
inferno13–9-0.035%26 Jun →
dust213–11-0.0926%26 Jun →
inferno11–13-0.0311%25 Jun →
mirage7–13-0.017%25 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
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.