m4NESY

m4NESY — CS2 Stats

JP76561199096139848[U:1:1135874120]Steam profile ↗✓ No bans

1,300Tracked matches63%Win rate2022Tracked since
1,958Hours in CS16Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating23,243Top 25% of 211,827 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)
CSDB Leaderboard#40703 of 258808 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (2 days ago). 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: 23,243 +2,832 23 Aug – 28 Oct · 28 days played
18,93423,572peak 23,57223 Aug28 Oct
23,674Peak Premier in tracked matches
29Days played since 2026-08-22

Premier CS Rating

  • 329 below peak (23,572)
  • +4,309 over 30 days · improving
  • Next: Red band at 25,000 — 1,757 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate49.7%41.3%41.8%above
Shot accuracy3.5%12.7%12.2%8.7% short
Kill/death ratio0.740.950.980.24 short
Match win rate49.2%42.6%43.3%above

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGm4NESYFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER23,243 · Pink 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

Aim61
Positioning50
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateLWLWWWWWLL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +5.2pp headshot accuracy · −29ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 513ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 542ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 556ms

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 (+2.2 against its own average).

Aim6.1
Utility4.4
Positioning5.0
Opening Duels1.7
Clutch0.0

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 88% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

CSDB Rating breakdown

Aim6.1
Positioning5.0
Utility4.4
Mechanics5.4
Opening Duels1.9
Win Impact9.4

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time546ms+27ms
first ⅓ avg 518ms → last ⅓ avg 546ms
Headshot accuracy18.3%−3.5%
first ⅓ avg 21.8% → last ⅓ avg 18.3%

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

0.09Best match rating · 13–3 · cache, 15 Sept →
40%Best headshot accuracy · 11–13 · dust2, 28 Oct →
344msFastest reaction time · 13–10 · inferno, 24 Oct →
13–1Biggest win · ancient, 4 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 61% over 23mirageWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
anubisA2314–961%-0.02
ancientA1911–858%-0.01
infernoA1911–858%-0.03
cacheB147–750%-0.02
mirageD112–918%-0.05
dust2C94–544%-0.01
nukeA53–260%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (18% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,462Lifetime kills
0.74K/D
2,640Matches
49.2%Match win rate · Top 10% of Level 2 players
49.7%Headshot % · Top 25% of Level 2 players
3.5%Shot accuracy
3,754MVPs
1,057Hours (in match)
3,370Bombs planted
465Bombs defused

Most-used weapons

Lifetime map wins

4,475inferno
4,358dust2
1,292nuke
575vertigo
509train
95office
69cbble
17lake

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

Faceit stats

Combat

10Matches
20%Win rate
0.77Avg K/D
50.7ADR
49%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis2100%1.6810.0
Mirage10%0.569.0
Ancient10%0.7512.0
Inferno10%0.6710.0
Dust210%0.417.0

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.

18.7%Headshot accuracy
29.7%Accuracy (enemy spotted)
34.7%Spray accuracy
74.5%Counter-strafing
10.0°Preaim
537msReaction time
33.1%T opening success
42.1%CT opening success
0.42Enemies flashed / flash
4.2%Flash assists
8.25HE damage / grenade
9.31Flashes / 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 0.4185 — below the 0.5 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 33.0697% — below the 40% mark we flag

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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0240%28 Oct →
ancient13–4-0.0119%28 Oct →
ancient9–13-0.0422%28 Oct →
cache13–7-0.0118%27 Oct →
inferno13–11-0.0512%27 Oct →
ancient13–6-0.0229%27 Oct →
ancient13–7-0.0225%26 Oct →
anubis13–8-0.0317%26 Oct →
dust28–13-0.0118%26 Oct →
mirage4–13-0.0919%26 Oct →
nuke16–140.0217%24 Oct →
inferno13–100.0030%24 Oct →
dust213–30.0425%24 Oct →
ancient10–13-0.0313%24 Oct →
cache13–5-0.0614%23 Oct →
dust26–13-0.0610%23 Oct →
mirage7–13-0.048%23 Oct →
mirage7–13-0.077%23 Oct →
inferno13–11-0.0816%22 Oct →
nuke10–13-0.0426%22 Oct →
dust27–13-0.067%22 Oct →
anubis13–100.0116%22 Oct →
inferno13–80.0114%14 Oct →
mirage1–13-0.0517%14 Oct →
anubis13–11-0.0125%14 Oct →
inferno13–11-0.0416%13 Oct →
anubis13–90.0024%13 Oct →
anubis16–120.0324%13 Oct →
ancient13–50.0010%12 Oct →
anubis13–4-0.0217%12 Oct →
inferno9–13-0.1013%12 Oct →
cache13–7-0.0217%12 Oct →
anubis13–70.0621%9 Oct →
anubis14–16-0.027%9 Oct →
inferno13–100.0418%9 Oct →
ancient13–30.0515%9 Oct →
ancient15–15-0.057%8 Oct →
mirage0–13-0.0419%8 Oct →
mirage13–9-0.0129%8 Oct →
anubis13–9-0.0510%8 Oct →
dust24–13-0.0032%5 Oct →
inferno13–60.0331%5 Oct →
dust216–140.0116%4 Oct →
anubis8–13-0.0416%4 Oct →
ancient13–10.028%4 Oct →
anubis13–90.0222%3 Oct →
cache11–13-0.0613%3 Oct →
inferno3–13-0.0833%3 Oct →
nuke13–9-0.0121%3 Oct →
inferno8–13-0.0319%3 Oct →
mirage9–13-0.0425%2 Oct →
anubis13–70.0121%2 Oct →
mirage10–13-0.0412%2 Oct →
dust213–8-0.0327%2 Oct →
inferno13–7-0.0314%1 Oct →
mirage13–9-0.0621%1 Oct →
ancient13–50.0522%1 Oct →
anubis13–8-0.0614%1 Oct →
dust213–60.0223%29 Sept →
mirage10–13-0.0215%29 Sept →
mirage4–13-0.0815%29 Sept →
anubis4–13-0.0312%29 Sept →
anubis5–13-0.1113%22 Sept →
inferno11–13-0.0410%22 Sept →
inferno11–13-0.0122%21 Sept →
anubis5–13-0.0312%21 Sept →
cache13–1-0.0014%21 Sept →
nuke8–130.0126%21 Sept →
inferno13–11-0.0315%20 Sept →
ancient13–50.0115%20 Sept →
inferno13–10-0.0239%20 Sept →
anubis15–15-0.0628%15 Sept →
cache13–70.0218%15 Sept →
anubis7–13-0.0321%15 Sept →
cache13–30.0931%15 Sept →
ancient13–50.0023%15 Sept →
cache4–13-0.0533%15 Sept →
ancient13–100.0121%12 Sept →
cache5–13-0.0223%12 Sept →
ancient6–13-0.0025%12 Sept →
inferno7–13-0.0818%12 Sept →
cache13–9-0.0216%11 Sept →
anubis13–20.0126%11 Sept →
nuke13–8-0.0312%11 Sept →
cache6–13-0.0114%11 Sept →
inferno7–13-0.0117%6 Sept →
inferno7–130.0021%6 Sept →
ancient15–150.0318%6 Sept →
cache13–16-0.0419%28 Aug →
cache9–13-0.0629%28 Aug →
ancient5–13-0.0619%27 Aug →
inferno13–6-0.0423%27 Aug →
ancient13–9-0.0416%27 Aug →
anubis13–70.0924%27 Aug →
anubis14–16-0.0418%25 Aug →
anubis13–9-0.0626%25 Aug →
ancient9–13-0.0723%23 Aug →
cache6–130.0013%23 Aug →
ancient10–13-0.0421%23 Aug →
anubis7–13-0.0128%22 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.