makone ヅ

makone ヅ — CS2 Stats

VA76561198034597896[U:1:74332168]Steam profile ↗✓ No bans

2,180Tracked matches52%Win rate2020Tracked since
CSDB Rating7.8 StrongPositional Player
Premier CS Rating26,931Top 5% of 215,386 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)
CSDB Leaderboard#7152 of 261510 tracked
FaceitLevel 9 · 1,992 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 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: 26,931 -802 27 Jun – 13 Nov · 19 days played
24,59227,994peak 27,99427 Jun13 Nov
Faceit ELO: 1,992 +0 2 Sept – 27 Oct · 5 observations
1,9921,992peak 1,9922 Sept27 Oct
27,994Peak Premier in tracked matches
1,992Highest Faceit ELO seen on CSDB
29Days played since 2026-06-19

Faceit ELO

  • At peak — 1,992
  • Next: Level 10 at 2,001 — 9 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-02
  • Level 8 first seen 2026-09-02

Premier CS Rating

  • 1,063 below peak (27,994)
  • +2,296 over 30 days · improving
  • +2,339 over 90 days
  • Next: Gold band at 30,000 — 3,069 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGmakone ヅFACEITLevel 9 · 1,992 ELOSTANDINGTop 20.7% of rankedPREMIER26,931 · Red bandPEAK ELO1,992csdb.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

Aim83
Positioning81
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateWWLLLLWWWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −5.4pp headshot accuracy · +25ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 533ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 523ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 510ms

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 (+1.4 against its own average).

Aim8.3
Utility6.4
Positioning8.1
Opening Duels7.4
Clutch5.0

Strong T-side openerStrong positioning

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 96% playstyle similarity

Most alike: opening-duel success, positioning 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

Strengths

T openings. 81% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 81% on T to 52% on CT — first contacts on the defending side are being lost.

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
Positioning8.1
Utility6.4
Mechanics7.1
Opening Duels7.7
Win Impact5.6

Composite 7.8/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time508ms−10ms
first ⅓ avg 518ms → last ⅓ avg 508ms
Headshot accuracy16.9%−3.8%
first ⅓ avg 20.7% → last ⅓ avg 16.9%

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 · 9–4 · vertigo, 19 Aug →
43%Best headshot accuracy · 11–13 · dust2, 2 Jul →
328msFastest reaction time · 13–11 · inferno, 10 Nov →
13–0Biggest win · cache, 14 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
7–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 67% over 6infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A2415–963%0.02
anubisA2012–860%0.02
ancientA1811–761%0.04
cacheB168–850%0.04
infernoD123–925%0.01
nukeS64–267%0.03
vertigo—21–150%0.12
eldorado—10–10%-0.10
debris—10–10%-0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

200Matches
60%Win rate
1.31Avg K/D
89.2ADR
43%Headshot %

Clutches & streaks

45%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis3174%1.4618.2
Dust23050%1.3818.8
Ancient2955%1.2616.4
Inferno1060%1.2321.3
Nuke862%1.5721.0
Cache757%1.3817.7
Vertigo250%1.5319.5
Mirage250%1.0414.0

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.

18.0%Headshot accuracy
36.6%Accuracy (enemy spotted)
37.0%Spray accuracy
82.0%Counter-strafing
8.6°Preaim
503msReaction time
81.3%T opening success
52.0%CT opening success
0.53Enemies flashed / flash
7.0%Flash assists
10.30HE damage / grenade
11.51Flashes / match

Recommended for you

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–7-0.0110%13 Nov →
anubis13–90.0521%13 Nov →
ancient5–13-0.0511%13 Nov →
inferno10–130.0616%13 Nov →
inferno6–130.0321%13 Nov →
inferno4–130.0019%13 Nov →
dust213–7-0.0117%13 Nov →
anubis13–50.0710%11 Nov →
anubis13–110.1012%11 Nov →
dust213–5-0.036%11 Nov →
dust26–13-0.0816%11 Nov →
ancient11–130.0419%11 Nov →
inferno13–11-0.0212%10 Nov →
ancient15–150.0124%10 Nov →
anubis16–130.0626%8 Nov →
dust213–30.1716%8 Nov →
anubis7–130.0411%6 Nov →
nuke13–60.0928%6 Nov →
dust213–70.0319%6 Nov →
anubis13–16-0.0127%6 Nov →
dust210–13-0.0317%5 Nov →
ancient13–110.0313%5 Nov →
ancient10–13-0.044%5 Nov →
cache11–130.0023%2 Nov →
anubis7–13-0.0624%2 Nov →
cache10–130.0318%2 Nov →
nuke13–100.0126%1 Nov →
anubis13–50.0229%1 Nov →
dust213–50.0216%1 Nov →
cache5–130.0720%1 Nov →
dust210–130.0511%1 Nov →
cache13–90.059%30 Oct →
anubis13–6-0.038%30 Oct →
anubis10–130.0116%30 Oct →
anubis13–40.1023%19 Oct →
dust213–10-0.0715%19 Oct →
inferno4–9-0.0817%19 Oct →
inferno6–90.0419%19 Oct →
ancient13–10.1326%18 Oct →
inferno5–9-0.2019%18 Oct →
anubis13–6-0.0232%18 Oct →
ancient7–130.0423%17 Sept →
ancient13–100.0918%17 Sept →
cache13–50.1227%11 Sept →
anubis13–10-0.0514%11 Sept →
vertigo8–80.0227%28 Aug →
dust211–130.0524%28 Aug →
ancient7–13-0.0215%28 Aug →
ancient13–70.0621%28 Aug →
cache7–130.0634%23 Aug →
ancient10–130.0114%23 Aug →
cache9–130.0222%23 Aug →
dust213–80.0224%19 Aug →
eldorado4–9-0.1014%19 Aug →
debris0–9-0.130%19 Aug →
ancient16–140.0428%19 Aug →
cache7–13-0.0531%19 Aug →
vertigo9–40.2222%19 Aug →
dust216–12-0.0121%14 Aug →
cache13–00.1117%14 Aug →
dust211–00.0513%14 Aug →
anubis11–130.0120%14 Aug →
cache13–80.0014%14 Aug →
dust211–130.0223%14 Aug →
cache13–30.0416%26 Jul →
cache10–130.1016%26 Jul →
inferno13–50.1522%25 Jul →
dust213–70.0715%25 Jul →
cache6–13-0.0533%25 Jul →
ancient13–110.0113%25 Jul →
anubis7–13-0.0318%25 Jul →
inferno10–130.1223%22 Jul →
dust23–130.0621%22 Jul →
cache13–70.1337%22 Jul →
anubis13–80.0417%11 Jul →
anubis12–160.0623%11 Jul →
ancient13–50.1626%11 Jul →
cache13–80.0029%11 Jul →
ancient13–100.0424%9 Jul →
nuke14–160.0114%9 Jul →
dust213–60.038%9 Jul →
inferno7–90.0320%3 Jul →
inferno9–3-0.0129%3 Jul →
dust211–130.0243%2 Jul →
ancient13–110.0311%2 Jul →
nuke9–13-0.017%2 Jul →
dust213–40.0823%2 Jul →
ancient13–90.0713%2 Jul →
dust213–110.0115%28 Jun →
dust26–130.0019%28 Jun →
anubis13–80.0133%28 Jun →
dust213–80.0313%28 Jun →
anubis13–70.0327%27 Jun →
dust213–100.0527%27 Jun →
dust210–13-0.0218%21 Jun →
ancient16–12-0.046%20 Jun →
nuke13–100.0714%20 Jun →
anubis10–130.0219%20 Jun →
inferno13–160.0418%20 Jun →
nuke13–70.0426%19 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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