M4R3ッ

M4R3ッ — CS2 Stats

76561198105372263[U:1:145106535]Steam profile ↗✓ No bans

1,609Tracked matches47%Win rate2020Tracked since
4,040Hours in CS55Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating15,843Purple band · top ~25% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 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: 15,843 -19 4 Sept – 4 Nov · 22 days played
13,16916,822peak 16,8224 Sept4 Nov
17,190Peak Premier in tracked matches
21Days played since 2026-09-04

Premier CS Rating

  • 979 below peak (16,822)
  • Next: Pink band at 20,000 — 4,157 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-04
  • Blue band first seen 2026-09-04

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate32.5%44.4%46.9%14.4% short
Shot accuracy12.4%11.9%13.0%0.6% short
Kill/death ratio0.921.031.080.16 short
Match win rate43.7%45.2%46.7%3.0% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGM4R3ッPREMIER15,843 · Purple bandcsdb.gg/stats

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Performance scores

Aim42
Positioning63
Utility47

0–100 skill scores via Leetify.

Recent form

COLD51–47–2Last 10051%Win rateLLWWLWLLLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +2.0pp headshot accuracy · +2ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 626ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 634ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 632ms

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 (+1.5 against its own average).

Aim4.2
Utility4.7
Positioning6.3
Opening Duels3.8
Clutch4.4

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

m0NESY

Plays most like m0NESY 68% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 633ms 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

Aim4.2
Positioning6.3
Utility4.7
Mechanics4.6
Opening Duels5.6
Win Impact3.9

Composite 4.9/10 (Developing), 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-0.02−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time626ms+25ms
first ⅓ avg 601ms → last ⅓ avg 626ms
Headshot accuracy15.1%+0.4%
first ⅓ avg 14.7% → last ⅓ avg 15.1%

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

0.09Best match rating · 13–7 · cache, 22 Oct →
29%Best headshot accuracy · 3–13 · dust2, 15 Oct →
469msFastest reaction time · 11–13 · nuke, 2 Nov →
13–3Biggest win · ancient, 25 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
8–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 65% over 20dust2Weakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
nukeS2013–765%-0.01
mirageB179–853%-0.01
infernoB179–853%-0.01
ancientB136–746%-0.02
cacheB137–654%0.00
dust2D124–833%-0.02
anubisC83–538%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,844Lifetime kills
0.92K/D
4,658Matches
43.7%Match win rate
32.5%Headshot %
12.4%Shot accuracy · Top 50% of Purple band
9,606MVPs
1,782Hours (in match)
3,477Bombs planted
1,030Bombs defused

Most-used weapons

AK-4718,807
AWP6,005
P902,673
MP72,657
MAC-101,968

Lifetime map wins

7,784inferno
7,476nuke
5,271dust2
960train
734vertigo
362cbble
267office
111lake

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

Faceit stats

Combat

29Matches
62%Win rate
1.05Avg K/D
85.2ADR
40%Headshot %

Clutches & streaks

42%1v1 clutch win
23%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage786%0.9314.9
Nuke560%1.2019.8
Ancient540%1.4316.2
Inferno2100%0.7811.0
Anubis250%1.1528.5
Dust2250%0.9117.0
Overpass1100%1.5722.0
Cache10%0.8416.0

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.

15.1%Headshot accuracy
30.3%Accuracy (enemy spotted)
33.6%Spray accuracy
70.6%Counter-strafing
10.5°Preaim
633msReaction time
59.1%T opening success
45.6%CT opening success
0.64Enemies flashed / flash
4.4%Flash assists
6.78HE damage / grenade
6.67Flashes / match

Recommended for you

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient4–13-0.108%4 Nov →
dust214–16-0.0420%4 Nov →
nuke13–11-0.0227%3 Nov →
mirage13–8-0.0119%3 Nov →
nuke11–13-0.0416%2 Nov →
inferno13–80.0315%2 Nov →
nuke8–13-0.0618%2 Nov →
anubis8–13-0.0215%2 Nov →
inferno7–13-0.0717%1 Nov →
inferno9–13-0.0011%1 Nov →
dust210–13-0.0413%1 Nov →
ancient6–13-0.0220%1 Nov →
nuke13–5-0.0411%1 Nov →
inferno8–13-0.0323%29 Oct →
mirage13–10-0.0311%29 Oct →
cache11–13-0.018%29 Oct →
dust213–80.0413%29 Oct →
dust213–60.0411%29 Oct →
nuke16–140.0116%29 Oct →
anubis13–110.0321%28 Oct →
inferno13–40.0511%28 Oct →
cache16–12-0.0114%28 Oct →
inferno8–13-0.0413%28 Oct →
inferno9–13-0.0318%28 Oct →
mirage13–8-0.0112%28 Oct →
ancient10–13-0.1017%28 Oct →
cache13–8-0.0213%27 Oct →
ancient14–16-0.0213%27 Oct →
dust29–13-0.049%27 Oct →
nuke13–4-0.0116%27 Oct →
nuke7–13-0.0412%26 Oct →
anubis4–13-0.0619%26 Oct →
mirage11–13-0.0519%26 Oct →
mirage13–9-0.0214%26 Oct →
anubis11–13-0.0216%25 Oct →
ancient13–3-0.0113%25 Oct →
mirage13–3-0.0517%25 Oct →
cache6–13-0.059%25 Oct →
inferno13–70.0313%25 Oct →
nuke13–7-0.0418%25 Oct →
ancient13–90.0611%24 Oct →
cache5–13-0.018%24 Oct →
ancient13–110.0310%24 Oct →
dust216–120.0319%24 Oct →
nuke13–11-0.0311%24 Oct →
ancient3–13-0.0817%23 Oct →
anubis13–60.0317%23 Oct →
nuke13–4-0.0110%23 Oct →
cache3–13-0.0316%23 Oct →
inferno13–10-0.068%23 Oct →
inferno13–90.0415%23 Oct →
cache13–30.0614%23 Oct →
mirage9–130.0311%23 Oct →
anubis14–160.0415%22 Oct →
cache13–70.0919%22 Oct →
mirage13–90.029%21 Oct →
nuke13–160.0113%21 Oct →
inferno10–130.0320%21 Oct →
anubis8–13-0.078%21 Oct →
cache2–13-0.049%21 Oct →
nuke4–13-0.0414%21 Oct →
mirage11–13-0.063%20 Oct →
mirage5–13-0.0620%20 Oct →
dust26–13-0.0626%20 Oct →
nuke13–50.0118%20 Oct →
ancient13–9-0.0120%19 Oct →
nuke7–13-0.0316%19 Oct →
nuke13–7-0.0314%19 Oct →
inferno5–13-0.029%18 Oct →
mirage13–6-0.0621%18 Oct →
cache13–40.0628%17 Oct →
inferno13–8-0.0419%17 Oct →
ancient6–130.0010%17 Oct →
inferno13–6-0.0213%17 Oct →
nuke11–130.0419%17 Oct →
dust29–13-0.064%17 Oct →
mirage15–150.0120%17 Oct →
dust21–13-0.0413%17 Oct →
nuke13–60.0013%17 Oct →
nuke13–30.0012%17 Oct →
mirage5–13-0.0518%17 Oct →
nuke16–140.0414%17 Oct →
cache13–10-0.0010%16 Oct →
inferno9–13-0.0313%16 Oct →
inferno13–100.0318%16 Oct →
mirage5–13-0.0519%16 Oct →
inferno13–50.0414%16 Oct →
cache6–13-0.0617%16 Oct →
dust23–13-0.0129%15 Oct →
ancient16–13-0.0615%15 Oct →
dust215–15-0.0410%15 Oct →
dust213–8-0.0613%15 Oct →
anubis13–11-0.022%15 Oct →
ancient16–140.0310%14 Oct →
cache13–60.0616%14 Oct →
mirage5–130.0826%14 Oct →
mirage13–70.0113%14 Oct →
nuke13–60.0213%13 Oct →
ancient11–13-0.035%13 Oct →
mirage13–70.0715%13 Oct →

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.