apX

apX — CS2 Stats

76561197964082802[U:1:3817074]Steam profile ↗✓ No bans

598Tracked matches67%Win rate2021Tracked since
CSDB Rating6.5 SolidHybrid Rifler
Premier CS Rating17,273Purple band · top ~19.4% of ranked players (population est.)
CSDB Leaderboard#18217 of 33904 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

Share this profile

CSDB.GGapXFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER17,273 · 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

Aim66
Positioning56
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY58375Last 10058%Win rateLWLWWLLWWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.6
Aggression7.3
Utility5.2
Positioning5.6
Opening Duels4.2
Clutch2.0

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.

Your pro match

ropz

Plays most like ropz 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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 59% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 727ms 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

Aim6.6
Positioning5.6
Utility5.2
Mechanics7.8
Opening Duels4.2
Win Impact10.0

Composite 6.5/10 (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-0.00−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.00
Reaction time733ms+2ms
first ⅓ avg 730ms → last ⅓ avg 733ms
Headshot accuracy14.0%+2.0%
first ⅓ avg 12.0% → last ⅓ avg 14.0%

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.

Highlights

0.18Best rating — mirage 13–3
132Biggest win — mirage
7Longest win streak
79In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 75% over 8ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B22111150%0.00
nukeS1712571%0.01
mirageA117464%0.04
infernoA106460%0.03
cacheS86275%0.03
ancientC83538%-0.01
anubisC73443%-0.01
trainB63350%0.01
vertigoS64267%0.04
overpass43175%0.01
poseidon1010%-0.28

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

168Matches
49%Win rate
0.99Avg K/D
68.0ADR
34%Headshot %

Clutches & streaks

30%1v1 clutch win
33%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage838%0.729.8
Dust2520%0.7412.2
Inferno560%0.8710.4
Anubis425%0.619.8
Ancient450%0.6610.3
Nuke20%0.548.5

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.

14.1%Headshot accuracy
42.0%Accuracy (enemy spotted)
43.9%Spray accuracy
84.9%Counter-strafing
11.8°Preaim
727msReaction time
34.1%T opening success
59.5%CT opening success
0.56Enemies flashed / flash
3.5%Flash assists
10.86HE damage / grenade
6.52Flashes / 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 14.0947% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 726.6747ms — above the 700ms mark we flag

    Aim Training
  3. 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 34.1078% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0710%29 Aug
cache13–50.0222%29 Aug
nuke8–13-0.0416%29 Aug
inferno13–110.018%29 Aug
train13–50.0414%29 Aug
dust28–13-0.079%27 Aug
inferno13–16-0.0319%27 Aug
nuke13–60.0116%27 Aug
inferno13–80.069%23 Aug
nuke13–4-0.0216%23 Aug
dust213–40.0221%23 Aug
nuke13–90.0318%23 Aug
overpass13–100.0111%23 Aug
nuke6–9-0.1313%22 Aug
poseidon3–9-0.2812%22 Aug
dust28–130.0616%21 Aug
cache13–70.1126%21 Aug
vertigo4–13-0.024%21 Aug
nuke13–60.0231%21 Aug
nuke14–160.0215%21 Aug
train13–8-0.0026%14 Aug
dust213–8-0.016%6 Aug
dust213–80.0816%6 Aug
mirage8–130.0115%4 Aug
dust210–130.039%4 Aug
mirage13–50.019%3 Aug
vertigo13–100.0112%3 Aug
dust213–3-0.0112%2 Aug
cache13–40.1211%2 Aug
dust29–13-0.005%31 Jul
nuke13–90.0115%31 Jul
anubis13–6-0.098%31 Jul
cache13–4-0.0214%31 Jul
ancient13–40.0519%31 Jul
nuke13–80.0513%30 Jul
dust213–11-0.0113%30 Jul
vertigo13–40.096%29 Jul
inferno11–130.058%28 Jul
inferno13–100.1412%28 Jul
anubis11–13-0.049%25 Jul
inferno11–13-0.0124%25 Jul
cache13–4-0.0515%25 Jul
nuke12–120.0315%24 Jul
train0–20.0050%24 Jul
dust213–10-0.0122%24 Jul
ancient7–13-0.0314%24 Jul
nuke13–40.0121%24 Jul
anubis2–13-0.0611%24 Jul
ancient13–4-0.036%24 Jul
cache3–130.0113%23 Jul
anubis13–70.0816%22 Jul
nuke7–13-0.0215%13 Jul
dust213–30.0213%11 Jul
inferno13–40.0113%11 Jul
overpass13–110.076%7 Jul
mirage13–20.0321%7 Jul
ancient1–13-0.0138%7 Jul
dust28–13-0.0416%6 Jul
ancient3–13-0.0819%24 Jun
mirage6–13-0.0712%24 Jun
dust211–130.0317%23 Jun
dust213–110.0310%22 Jun
ancient13–10-0.0111%21 Jun
nuke13–8-0.0113%21 Jun
anubis13–40.0316%21 Jun
mirage13–60.0710%20 Jun
inferno13–80.0111%20 Jun
vertigo13–60.0313%20 Jun
dust28–13-0.0316%20 Jun
nuke8–20.0513%20 Jun
dust213–11-0.0110%19 Jun
train13–70.1117%19 Jun
inferno12–120.0316%19 Jun
dust213–90.0515%19 Jun
mirage13–100.027%18 Jun
ancient0–13-0.0122%18 Jun
anubis12–120.1112%18 Jun
mirage1–13-0.008%18 Jun
overpass10–13-0.039%18 Jun
dust211–130.0314%12 Jun
mirage13–90.0914%12 Jun
dust28–13-0.039%11 Jun
cache11–13-0.0313%11 Jun
anubis1–13-0.070%11 Jun
nuke13–80.0613%11 Jun
cache13–60.068%11 Jun
ancient12–120.0514%11 Jun
nuke13–6-0.0115%11 Jun
mirage13–110.0413%10 Jun
mirage13–30.1810%10 Jun
vertigo8–130.0913%10 Jun
overpass13–11-0.0211%10 Jun
nuke13–30.1116%10 Jun
train12–120.0018%9 Jun
dust27–130.0611%9 Jun
mirage11–130.0516%9 Jun
dust213–10-0.009%7 Jun
train3–13-0.066%4 Jun
vertigo13–30.034%4 Jun
inferno13–70.0913%3 Jun

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →