ApExNaATtOrI

ApExNaATtOrI — CS2 Stats

76561199801123876[U:1:1840858148]Steam profile ↗✓ No bans

2,299Tracked matches34%Win rate2024Tracked since
CSDB Rating4.2 DevelopingSupport
Premier CS Rating3,439Grey band · top ~85.4% of ranked players (population est.)
FaceitLevel 2 · 936 ELOTop 97.9% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

−236Premier CS Rating · 3,675 → 3,439
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 40 days played since 8 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 3,439 -1,300 4 Aug20 Sept · 22 days played
3,4395,194peak 5,1944 Aug20 Sept
5,357Peak Premier in tracked matches
936Highest Faceit ELO seen on CSDB
40Days played since 2026-07-08

Faceit ELO

  • At peak — 936
  • Next: Level 5 at 1,051 115 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 1,755 below peak (5,194)
  • -816 over 30 days · declining
  • Next: Light Blue band at 5,000 1,561 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 2 · 936 ELOSTANDINGTop 97.9% of rankedPREMIER3,439 · Grey bandPEAK ELO936csdb.gg/stats

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Performance scores

Aim61
Positioning44
Utility49

0–100 skill scores via Leetify.

Recent form

COLD37603Last 10037%Win rateLLWTLLWLLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.2pp headshot accuracy · +64ms 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

  • 131 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 645ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 678ms

Last 20

  • 7112 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 646ms

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: SupportUtility contribution stands above the rest of this profile (+1.1 against its own average).

Aim6.1
Utility4.9
Positioning4.4
Opening Duels2.9
Clutch3.0

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

jL

Plays most like jL 90% 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

T-side openings. Opening success drops from 48% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 655ms 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

Aim6.1
Positioning4.4
Utility4.9
Mechanics6.6
Opening Duels2.2
Win Impact0.0

Composite 4.2/10 (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 rating-0.01+0.03
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time650ms−86ms
first ⅓ avg 735ms → last ⅓ avg 650ms
Headshot accuracy17.1%−1.1%
first ⅓ avg 18.1% → last ⅓ avg 17.1%

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

0.19Best match rating · 11–0 · nuke, 27 Aug
47%Best headshot accuracy · 9–5 · overpass, 26 Jul
508msFastest reaction time · 9–3 · inferno, 20 Aug
13–2Biggest win · ancient, 8 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
710In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 53% over 17infernoWeakest map · 20% over 20
MapGradePlayedRecordWin rateAvg rating
infernoD2041620%-0.05
mirageC1981142%-0.01
nukeB179853%0.00
dust2C114736%-0.01
ancientD93633%-0.02
anubisC83538%-0.03
cacheD72529%-0.03
trainD51420%-0.04
vertigo21150%-0.01
overpass110100%0.03
office110100%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

910Matches
48%Win rate
0.84Avg K/D
68.6ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke25353%0.8513.5
Mirage18041%0.8613.0
Inferno14853%0.8413.3
Ancient10445%0.7711.7
Anubis7246%0.7211.0
Overpass4939%0.9014.9
Dust24445%0.8512.6
Train4360%0.9313.6

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.

17.1%Headshot accuracy
35.5%Accuracy (enemy spotted)
33.4%Spray accuracy
79.7%Counter-strafing
9.9°Preaim
655msReaction time
29.6%T opening success
48.0%CT opening success
0.56Enemies flashed / flash
4.9%Flash assists
14.46HE damage / grenade
3.19Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.188 — below the 4 mark we flag

    Grenade Lineups
  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 29.6172% — below the 40% mark we flag

Spend your practice time on Inferno

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 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient3–13-0.0519%20 Sept
cache9–130.0317%20 Sept
anubis13–5-0.0413%20 Sept
nuke8–8-0.0512%20 Sept
dust210–130.0114%20 Sept
anubis4–13-0.0310%19 Sept
inferno13–100.0226%17 Sept
dust29–13-0.0124%17 Sept
mirage11–130.0916%17 Sept
mirage13–7-0.0123%16 Sept
anubis13–70.0314%16 Sept
anubis8–13-0.0321%16 Sept
inferno5–130.0021%14 Sept
nuke13–90.1223%14 Sept
nuke8–130.0315%9 Sept
cache5–13-0.0522%8 Sept
ancient13–20.1018%8 Sept
dust212–12-0.0114%8 Sept
cache13–9-0.0618%8 Sept
vertigo6–13-0.0319%7 Sept
train5–13-0.039%7 Sept
anubis7–13-0.0817%7 Sept
anubis11–130.0315%6 Sept
inferno5–13-0.0711%31 Aug
nuke13–3-0.0815%31 Aug
nuke13–40.0511%31 Aug
inferno11–13-0.0718%30 Aug
mirage9–13-0.0312%30 Aug
nuke13–30.0821%30 Aug
cache5–13-0.0621%28 Aug
ancient11–13-0.0815%28 Aug
nuke11–00.1922%27 Aug
nuke4–13-0.0819%26 Aug
mirage13–5-0.048%26 Aug
inferno6–9-0.0332%25 Aug
ancient4–130.0111%24 Aug
inferno6–13-0.0324%24 Aug
train0–13-0.0510%24 Aug
ancient11–13-0.0413%21 Aug
inferno5–9-0.0515%21 Aug
inferno1–9-0.1318%20 Aug
nuke13–7-0.0633%20 Aug
inferno6–13-0.0714%20 Aug
nuke6–9-0.1511%20 Aug
nuke9–20.078%20 Aug
inferno9–30.0921%20 Aug
mirage3–13-0.085%19 Aug
mirage4–70.0215%18 Aug
ancient12–12-0.0413%17 Aug
cache2–130.0021%17 Aug
nuke14–16-0.0316%15 Aug
dust24–13-0.0820%15 Aug
ancient13–80.0520%15 Aug
mirage5–13-0.0516%14 Aug
dust210–130.0123%14 Aug
vertigo13–50.0137%14 Aug
ancient13–11-0.0519%13 Aug
cache10–13-0.0118%13 Aug
mirage8–13-0.0321%13 Aug
train13–6-0.0116%12 Aug
train2–13-0.0417%12 Aug
train9–13-0.0520%12 Aug
mirage4–130.0111%10 Aug
cache16–14-0.0215%10 Aug
mirage10–13-0.0110%9 Aug
nuke13–110.0834%9 Aug
nuke8–130.0023%8 Aug
mirage13–110.0321%8 Aug
nuke13–7-0.0015%8 Aug
anubis11–13-0.067%8 Aug
dust21–11-0.0417%6 Aug
inferno13–11-0.0419%6 Aug
inferno3–9-0.114%6 Aug
dust24–130.0728%5 Aug
mirage13–20.0210%4 Aug
mirage5–130.0410%4 Aug
dust213–8-0.0318%4 Aug
inferno2–9-0.1723%3 Aug
inferno7–130.0916%3 Aug
inferno4–13-0.0323%2 Aug
dust213–6-0.0117%2 Aug
mirage13–40.0112%1 Aug
anubis13–9-0.0610%1 Aug
mirage11–13-0.0116%29 Jul
dust213–11-0.0413%29 Jul
inferno11–130.0021%29 Jul
mirage10–13-0.1016%28 Jul
inferno2–9-0.1518%28 Jul
inferno7–9-0.1422%28 Jul
nuke2–9-0.0236%28 Jul
nuke2–13-0.0811%26 Jul
overpass9–50.0347%26 Jul
mirage13–50.0326%26 Jul
dust213–60.019%26 Jul
ancient1–13-0.0917%26 Jul
inferno3–9-0.1320%26 Jul
mirage16–14-0.0215%25 Jul
inferno13–8-0.0434%22 Jul
mirage13–20.0520%22 Jul
office13–7-0.049%8 Jul

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 →