Apl9x

Apl9x — CS2 Stats

MX76561198383803934[U:1:423538206]Steam profile ↗✓ No bans

1,447Tracked matches30%Win rate2021Tracked since
2,638Hours in CS2Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
CSDB Leaderboard#61930 of 227782 tracked
FaceitLevel 6 · 1,285 ELOTop 54.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify
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. 28 days played since 26 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,041 +1,042 3 Jul5 Jul · 3 days played
19,99921,041peak 21,0413 Jul5 Jul
21,041Peak Premier in tracked matches
1,285Highest Faceit ELO seen on CSDB
28Days played since 2026-05-26

Faceit ELO

  • At peak — 1,285
  • Next: Level 7 at 1,351 66 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

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

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=11,615), 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 6 medianLevel 7 medianvs Level 7
Headshot rate51.3%44.8%45.7%above
Shot accuracy12.9%12.4%12.7%meets
Kill/death ratio0.951.041.050.10 short
Match win rate45.7%45.2%45.7%meets

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGApl9xFACEITLevel 6 · 1,285 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,285csdb.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

Aim63
Positioning54
Utility70

0–100 skill scores via Leetify.

Recent form

COLD49456Last 10049%Win rateLLLLTLLWLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −3.6pp headshot accuracy · −30ms reaction

Win rate down 20pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 041 · 0% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 644ms

Last 10

  • 181 · 10% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 644ms

Last 20

  • 4133 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 659ms

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 (+2.7 against its own average).

Aim6.3
Utility7.0
Positioning5.4
Opening Duels2.6
Clutch2.2

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

NiKo

Plays most like NiKo 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. 663ms 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

Aim6.3
Positioning5.4
Utility7.0
Mechanics6.7
Opening Duels1.8
Win Impact0.0

Composite 4.7/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time669ms+5ms
first ⅓ avg 664ms → last ⅓ avg 669ms
Headshot accuracy19.0%−1.4%
first ⅓ avg 20.5% → last ⅓ avg 19.0%

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.

Personal bests

0.22Best match rating · 9–6 · vertigo, 1 Jul
43%Best headshot accuracy · 9–13 · dust2, 28 Jul
438msFastest reaction time · 13–1 · dust2, 16 Jul
13–1Biggest win · inferno, 27 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
62In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 71% over 7infernoWeakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
dust2B31161552%0.00
infernoC2181338%0.01
mirageC167944%0.01
cacheA95456%0.01
ancientS75271%-0.01
overpassA74357%0.03
vertigoC52340%0.03
nuke21150%-0.04
anubis1010%-0.06
train110100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,219Lifetime kills
0.95K/D
4,835Matches
45.7%Match win rate · Top 50% of Level 6 players
51.3%Headshot % · Top 25% of Level 6 players
12.9%Shot accuracy · Top 50% of Level 6 players
9,876MVPs
1,876Hours (in match)
2,843Bombs planted
1,078Bombs defused

Most-used weapons

AK-4726,159
AWP7,201
MAC-102,571
MP92,235
P2501,952

Lifetime map wins

10,080inferno
7,269dust2
2,329vertigo
1,127train
728nuke
559cbble
20sugarcane
17lake

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

Faceit stats

Combat

521Matches
50%Win rate
1.09Avg K/D
85.0ADR
49%Headshot %

Clutches & streaks

31%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno12656%1.1416.2
Dust25742%1.1018.0
Vertigo3757%1.0514.3
Ancient3450%1.0516.7
Overpass3355%1.2715.6
Mirage3040%1.0216.8
Nuke1217%1.0514.3
Anubis560%0.9415.2

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.

19.5%Headshot accuracy
34.5%Accuracy (enemy spotted)
38.0%Spray accuracy
79.9%Counter-strafing
10.8°Preaim
663msReaction time
32.8%T opening success
41.3%CT opening success
0.65Enemies flashed / flash
10.3%Flash assists
14.45HE damage / grenade
9.06Flashes / 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. 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 32.8248% — 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.

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage7–130.1123%11 Sept
vertigo6–13-0.0213%8 Sept
inferno10–130.0718%8 Sept
mirage4–130.0020%8 Sept
inferno12–120.0221%4 Sept
vertigo9–130.0230%4 Sept
inferno11–130.0114%4 Sept
ancient13–110.0714%1 Sept
dust26–130.0022%1 Sept
vertigo4–13-0.0611%1 Sept
dust212–12-0.0027%1 Sept
inferno13–50.0323%28 Aug
inferno10–13-0.0525%28 Aug
dust28–130.0510%28 Aug
dust213–90.0227%28 Aug
dust213–60.1322%21 Aug
cache7–130.0118%20 Aug
inferno12–120.0823%20 Aug
inferno3–13-0.0525%6 Aug
inferno5–13-0.1023%6 Aug
cache8–130.0326%6 Aug
inferno5–90.0419%6 Aug
overpass5–90.0527%6 Aug
inferno7–90.0311%6 Aug
dust213–7-0.0513%5 Aug
dust21–13-0.1217%4 Aug
dust213–30.0018%4 Aug
mirage2–130.0121%4 Aug
mirage13–6-0.075%1 Aug
dust26–130.0216%1 Aug
inferno6–130.0417%1 Aug
inferno8–8-0.0418%28 Jul
dust24–13-0.0413%28 Jul
inferno13–70.0227%28 Jul
dust29–130.0543%28 Jul
mirage6–20.0833%28 Jul
dust213–7-0.0024%28 Jul
mirage8–13-0.019%27 Jul
inferno13–10.0213%27 Jul
dust213–60.0617%27 Jul
mirage4–13-0.0125%27 Jul
mirage13–50.0323%24 Jul
dust21–130.0523%24 Jul
cache3–130.0716%24 Jul
dust213–40.0925%24 Jul
dust213–100.0428%24 Jul
ancient13–100.0318%23 Jul
mirage5–13-0.0314%23 Jul
dust25–13-0.079%23 Jul
dust213–10.0311%16 Jul
dust211–0-0.049%16 Jul
dust210–13-0.0434%16 Jul
cache13–60.0221%16 Jul
cache16–14-0.0215%11 Jul
cache13–3-0.0132%11 Jul
dust27–13-0.0020%11 Jul
ancient13–10-0.0128%7 Jul
anubis4–13-0.0619%7 Jul
dust29–13-0.1020%7 Jul
mirage13–80.0615%7 Jul
mirage16–130.0320%5 Jul
mirage13–60.0127%4 Jul
inferno13–50.036%4 Jul
dust213–9-0.0123%4 Jul
dust25–13-0.0823%4 Jul
nuke13–8-0.0022%3 Jul
dust213–50.0825%3 Jul
inferno13–110.0122%3 Jul
mirage1–5-0.0317%3 Jul
dust210–20.0527%1 Jul
nuke7–13-0.0722%1 Jul
mirage13–80.0225%1 Jul
overpass9–50.0121%1 Jul
inferno9–70.1722%1 Jul
vertigo9–60.2228%1 Jul
cache2–13-0.0024%1 Jun
ancient13–9-0.0024%1 Jun
inferno13–8-0.0328%1 Jun
overpass13–90.0417%31 May
dust28–13-0.0418%31 May
ancient6–13-0.0614%31 May
mirage12–12-0.0030%31 May
cache13–9-0.0620%31 May
vertigo10–1-0.0110%30 May
ancient13–3-0.029%30 May
inferno8–13-0.0517%30 May
train5–20.0319%30 May
cache13–110.0216%30 May
dust213–70.0218%30 May
mirage3–13-0.0425%30 May
inferno13–90.0015%28 May
dust213–40.0623%28 May
overpass13–30.1321%28 May
dust27–130.0021%27 May
dust213–8-0.0224%27 May
ancient8–13-0.0626%27 May
overpass8–130.0337%27 May
inferno15–150.0316%26 May
overpass8–130.0314%26 May
overpass13–11-0.0410%26 May

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 →