Apexnaattori

Apexnaattori — CS2 Stats

FI76561197989750416[U:1:29484688]Steam profile ↗✓ No bans

3,914Tracked matches53%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating6,999Light Blue band · top ~69.2% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 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: 6,999 +1,262 5 Jun – 11 Oct · 26 days played
3,6566,999peak 6,9995 Jun11 Oct
7,242Peak Premier in tracked matches
36Days played since 2026-06-03

Premier CS Rating

  • At peak — 6,999
  • +2,115 over 30 days · improving
  • +3,343 over 90 days
  • Next: Blue band at 10,000 — 3,001 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGApexnaattoriFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER6,999 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim55
Positioning52
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY42–54–4Last 10042%Win rateLWWLLLWLWL

Last 10 vs previous 10: −30pp win rate · +0.05 avg rating · +3.3pp headshot accuracy · −19ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 689ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 26%
  • Avg reaction 684ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 694ms

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 (+1.6 against its own average).

Aim5.5
Utility4.4
Positioning5.2
Opening Duels2.3
Clutch2.4

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

ZywOo

Plays most like ZywOo 85% 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. 692ms 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

Aim5.5
Positioning5.2
Utility4.4
Mechanics6.1
Opening Duels4.2
Win Impact6.1

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time697ms−28ms
first ⅓ avg 725ms → last ⅓ avg 697ms
Headshot accuracy23.1%+3.5%
first ⅓ avg 19.6% → last ⅓ avg 23.1%

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

0.36Best match rating · 9–2 · nuke, 10 Oct →
43%Best headshot accuracy · 7–13 · mirage, 26 Sept →
531msFastest reaction time · 9–13 · inferno, 6 Oct →
13–1Biggest win · nuke, 27 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–11In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 67% over 18mirageWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
infernoC207–1335%-0.00
nukeS1812–667%-0.01
mirageD153–1220%-0.00
ancientD155–1033%-0.01
cacheB84–450%-0.02
dust2A85–363%-0.01
office—41–325%-0.04
vertigo—41–325%0.00
anubis—32–167%0.05
overpass—31–233%0.00
train—11–0100%0.02
fachwerk—10–10%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

268Matches
46%Win rate
0.84Avg K/D
67.3ADR
42%Headshot %

Clutches & streaks

32%1v1 clutch win
12%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage8246%0.8410.9
Anubis4856%0.8012.0
Inferno4240%0.8712.1
Nuke2948%1.0812.6
Ancient2642%0.749.8
Dust21937%0.7110.7
Vertigo1937%0.7710.6
Overpass367%0.6310.0

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.

21.3%Headshot accuracy
32.8%Accuracy (enemy spotted)
31.8%Spray accuracy
77.7%Counter-strafing
10.1°Preaim
692msReaction time
53.5%T opening success
40.2%CT opening success
0.46Enemies flashed / flash
3.7%Flash assists
10.25HE damage / grenade
2.36Flashes / 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 0.4589 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0224%11 Oct →
anubis13–70.0628%11 Oct →
cache13–90.0220%11 Oct →
mirage1–13-0.0525%11 Oct →
nuke8–13-0.0928%11 Oct →
inferno5–90.0230%10 Oct →
inferno9–70.1227%10 Oct →
inferno6–90.0631%10 Oct →
nuke9–20.3634%10 Oct →
cache2–13-0.0110%10 Oct →
inferno3–9-0.0826%10 Oct →
anubis13–110.0720%9 Oct →
cache13–3-0.0422%9 Oct →
ancient13–100.0322%9 Oct →
nuke13–10-0.0322%9 Oct →
dust216–130.0118%8 Oct →
train13–30.0231%7 Oct →
dust213–11-0.0028%6 Oct →
inferno9–13-0.0319%6 Oct →
cache10–130.0417%5 Oct →
ancient13–6-0.0117%5 Oct →
nuke13–10-0.0022%5 Oct →
cache5–13-0.1323%30 Sept →
nuke13–8-0.0118%30 Sept →
nuke13–11-0.0314%30 Sept →
mirage5–13-0.0230%30 Sept →
mirage7–13-0.0643%26 Sept →
nuke13–90.0114%24 Sept →
inferno13–20.0214%24 Sept →
inferno14–160.0221%24 Sept →
ancient8–13-0.0514%16 Sept →
nuke7–13-0.0816%11 Sept →
nuke13–6-0.0332%11 Sept →
ancient5–13-0.0215%11 Sept →
fachwerk4–13-0.0512%7 Sept →
office13–6-0.0311%3 Sept →
inferno8–13-0.029%2 Sept →
office12–12-0.0510%2 Sept →
office5–13-0.0621%2 Sept →
mirage7–130.0218%28 Aug →
nuke13–10.0325%27 Aug →
ancient13–20.0510%27 Aug →
mirage13–30.0914%27 Aug →
dust212–120.0111%13 Aug →
office11–13-0.0115%13 Aug →
nuke15–15-0.0620%12 Aug →
dust213–5-0.0311%7 Aug →
inferno13–6-0.0311%7 Aug →
dust213–100.0316%7 Aug →
mirage3–70.1018%7 Aug →
vertigo13–70.025%31 Jul →
vertigo5–130.0115%31 Jul →
overpass3–9-0.0928%30 Jul →
nuke2–9-0.156%30 Jul →
nuke8–80.0317%30 Jul →
inferno4–9-0.1412%30 Jul →
inferno13–80.0430%12 Jul →
ancient2–90.0614%12 Jul →
nuke13–30.0118%12 Jul →
mirage5–13-0.104%12 Jul →
ancient11–130.0119%12 Jul →
nuke13–60.0018%12 Jul →
cache13–8-0.0018%12 Jul →
inferno4–9-0.1514%12 Jul →
inferno7–9-0.0337%11 Jul →
inferno7–9-0.0338%11 Jul →
ancient13–80.0225%11 Jul →
mirage13–4-0.0116%11 Jul →
cache11–13-0.0114%11 Jul →
ancient6–13-0.0918%11 Jul →
ancient16–140.0114%11 Jul →
dust27–13-0.0430%10 Jul →
mirage13–20.1420%10 Jul →
dust28–13-0.0424%10 Jul →
inferno11–13-0.0323%10 Jul →
cache13–5-0.0216%10 Jul →
mirage6–13-0.0319%10 Jul →
mirage6–13-0.0127%9 Jul →
mirage11–13-0.0611%9 Jul →
inferno13–100.0320%9 Jul →
nuke13–10.0514%2 Jul →
inferno9–130.068%2 Jul →
ancient9–13-0.0613%2 Jul →
nuke13–8-0.0616%30 Jun →
overpass2–13-0.0417%24 Jun →
ancient11–13-0.0222%24 Jun →
mirage8–130.0210%24 Jun →
dust213–9-0.0420%22 Jun →
ancient7–130.0121%21 Jun →
inferno9–30.0520%13 Jun →
mirage7–13-0.0523%12 Jun →
vertigo10–13-0.0319%12 Jun →
anubis14–160.0421%8 Jun →
ancient4–13-0.0620%8 Jun →
inferno11–13-0.0225%8 Jun →
ancient5–13-0.0122%5 Jun →
nuke5–9-0.1527%3 Jun →
overpass9–30.1424%3 Jun →
inferno9–30.1324%3 Jun →
vertigo7–130.0132%3 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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