Apetsi

Apetsi — CS2 Stats

76561198313458029[U:1:353192301]Steam profile ↗✓ No bans

1,593Tracked matches62%Win rate2025Tracked since
CSDB Rating7.5 StrongPositional Player
Premier CS Rating17,728Purple band · top ~17.5% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). 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: 17,728 -250 11 Sept – 3 Nov · 9 days played
16,67717,978peak 17,97811 Sept3 Nov
17,978Peak Premier in tracked matches
20Days played since 2026-09-11

Premier CS Rating

  • 250 below peak (17,978)
  • +269 over 30 days · steady
  • Next: Pink band at 20,000 — 2,272 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-11
  • Blue band first seen 2026-09-11

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

Share this profile

CSDB.GGApetsiFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER17,728 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning77
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateWLLWWWWLLL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +2.4pp headshot accuracy · +42ms reaction

Win rate down 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 500ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 506ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 484ms

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 (+2.2 against its own average).

Aim8.3
Utility5.5
Positioning7.7
Opening Duels5.1
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

m0NESY

Plays most like m0NESY 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 61% T opening-duel success — entries that actually open the round.

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

Aim8.3
Positioning7.7
Utility5.5
Mechanics6.1
Opening Duels8.0
Win Impact9.0

Composite 7.5/10 (Strong), 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 rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time519ms+1ms
first ⅓ avg 518ms → last ⅓ avg 519ms
Headshot accuracy14.3%−4.9%
first ⅓ avg 19.2% → last ⅓ avg 14.3%

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

0.17Best match rating · 13–1 · ancient, 13 Oct →
60%Best headshot accuracy · 13–9 · anubis, 10 Oct →
375msFastest reaction time · 13–6 · anubis, 2 Nov →
13–0Biggest win · nuke, 9 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–12In matches decided by ≤2 rounds
18Overtime games

Map breakdown

nukeBest map · 60% over 20ancientWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
anubisB3116–1552%0.02
nukeA2012–860%0.02
infernoB168–850%0.03
ancientD155–1033%0.01
dust2A116–555%0.01
cacheD62–433%-0.02
mirage—10–10%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

874Matches
50%Win rate
1.04Avg K/D
74.5ADR
38%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis24852%1.1216.6
Ancient15047%0.9815.0
Nuke13249%0.9914.7
Inferno13048%1.1216.2
Dust29447%1.0415.7
Overpass5664%0.9213.2
Mirage3040%0.8712.9
Cache3033%0.9014.3

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.

14.8%Headshot accuracy
36.8%Accuracy (enemy spotted)
46.9%Spray accuracy
77.6%Counter-strafing
8.3°Preaim
510msReaction time
61.2%T opening success
63.1%CT opening success
0.63Enemies flashed / flash
10.2%Flash assists
7.87HE damage / grenade
5.86Flashes / 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 14.8429% — below the 15% mark we flag

    Aim Training →
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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–110.0014%3 Nov →
anubis9–13-0.0015%3 Nov →
ancient10–130.0122%3 Nov →
anubis13–60.0811%3 Nov →
anubis13–7-0.0025%3 Nov →
nuke13–9-0.029%3 Nov →
dust213–110.0516%2 Nov →
ancient8–13-0.0723%2 Nov →
nuke8–13-0.0519%2 Nov →
cache11–13-0.0630%2 Nov →
anubis13–60.0015%2 Nov →
anubis14–16-0.0011%1 Nov →
dust219–16-0.0012%1 Nov →
anubis10–130.0212%1 Nov →
nuke13–40.0235%1 Nov →
nuke13–70.0314%1 Nov →
dust28–130.0817%28 Oct →
ancient13–30.0410%28 Oct →
nuke13–6-0.0114%28 Oct →
anubis13–80.0719%28 Oct →
inferno14–16-0.0114%27 Oct →
inferno8–13-0.036%27 Oct →
dust213–2-0.0210%26 Oct →
cache15–150.048%26 Oct →
nuke3–130.0110%24 Oct →
anubis13–6-0.035%24 Oct →
anubis13–40.0612%24 Oct →
nuke13–90.0811%24 Oct →
dust213–90.0815%24 Oct →
nuke13–110.0513%24 Oct →
nuke11–13-0.0110%22 Oct →
anubis13–80.116%22 Oct →
anubis13–40.045%22 Oct →
cache13–6-0.0019%22 Oct →
ancient8–130.1010%22 Oct →
cache13–9-0.047%22 Oct →
ancient13–7-0.026%22 Oct →
anubis15–190.0012%22 Oct →
ancient17–19-0.0112%21 Oct →
nuke13–60.0230%21 Oct →
inferno10–13-0.028%21 Oct →
dust28–130.0515%21 Oct →
cache14–16-0.0028%21 Oct →
nuke8–13-0.028%21 Oct →
ancient13–40.0115%21 Oct →
anubis13–70.0116%19 Oct →
inferno7–130.0326%19 Oct →
nuke13–50.0624%19 Oct →
inferno13–80.0917%19 Oct →
inferno8–13-0.0115%19 Oct →
inferno13–80.0916%19 Oct →
anubis11–130.026%19 Oct →
ancient8–13-0.0213%19 Oct →
anubis13–80.0510%19 Oct →
nuke7–130.0419%18 Oct →
nuke15–150.0217%17 Oct →
dust213–11-0.0213%17 Oct →
nuke13–10.0726%17 Oct →
nuke13–10.0719%17 Oct →
inferno16–130.0617%17 Oct →
anubis11–13-0.055%17 Oct →
inferno13–30.0613%17 Oct →
anubis7–130.0128%17 Oct →
anubis2–130.0222%17 Oct →
anubis7–13-0.0223%17 Oct →
ancient0–13-0.0710%16 Oct →
ancient13–90.0411%13 Oct →
anubis7–13-0.0313%13 Oct →
ancient13–10.1713%13 Oct →
inferno14–160.0114%12 Oct →
anubis13–160.0314%12 Oct →
inferno9–130.1328%12 Oct →
inferno13–30.0210%10 Oct →
mirage4–13-0.0219%10 Oct →
anubis13–60.017%10 Oct →
anubis13–9-0.0060%10 Oct →
nuke19–170.0530%9 Oct →
anubis13–110.1110%9 Oct →
nuke13–00.045%9 Oct →
ancient9–13-0.0017%9 Oct →
dust213–70.0422%9 Oct →
cache6–13-0.037%9 Oct →
nuke5–13-0.0730%9 Oct →
anubis19–170.0013%9 Oct →
anubis10–13-0.0410%8 Oct →
anubis20–220.0131%7 Oct →
inferno16–140.0524%7 Oct →
anubis13–90.0024%7 Oct →
anubis13–70.0320%7 Oct →
ancient4–13-0.0424%7 Oct →
anubis11–13-0.0326%7 Oct →
ancient12–160.0229%7 Oct →
dust214–160.0012%7 Oct →
dust215–19-0.0410%7 Oct →
inferno7–130.0120%6 Oct →
anubis3–13-0.0211%6 Oct →
inferno13–110.0328%6 Oct →
nuke8–130.0430%6 Oct →
ancient6–130.0011%6 Oct →
dust25–13-0.0513%6 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 →

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