M4R3ッ

M4R3ッ — CS2 Stats

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

1,504Tracked matches59%Win rate2020Tracked since
3,942Hours in CS52Hrs last 2 wks
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating13,222Blue band · top ~37.8% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 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: 13,222 -2,640 4 Sept – 12 Oct · 20 days played
10,19315,862peak 15,8624 Sept12 Oct
15,862Peak Premier in tracked matches
19Days played since 2026-09-04

Premier CS Rating

  • 2,640 below peak (15,862)
  • -370 over 30 days · steady
  • Next: Purple band at 15,000 — 1,778 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate32.3%42.0%44.3%12.0% short
Shot accuracy12.7%9.6%11.9%above
Kill/death ratio0.920.981.030.11 short
Match win rate43.5%43.8%45.2%1.7% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Purple 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PREMIER13,222 · Blue 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

Aim39
Positioning59
Utility40

0–100 skill scores via Leetify.

Recent form

HOT42–53–5Last 10042%Win rateWWWWLWWWWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · −0.9pp headshot accuracy · −6ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 606ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 680ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 683ms

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 (+1.6 against its own average).

Aim3.9
Utility4.0
Positioning5.9
Opening Duels2.5
Clutch4.8

Limited utility dependence

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

donk

Plays most like donk 69% 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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 60% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 676ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.9
Positioning5.9
Utility4.0
Mechanics3.8
Opening Duels5.3
Win Impact7.9

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time684ms+88ms
first ⅓ avg 595ms → last ⅓ avg 684ms
Headshot accuracy16.2%+0.8%
first ⅓ avg 15.4% → last ⅓ avg 16.2%

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

0.18Best match rating · 13–2 · nuke, 6 Oct →
32%Best headshot accuracy · 13–2 · dust2, 10 Oct →
484msFastest reaction time · 12–16 · inferno, 8 Oct →
13–1Biggest win · nuke, 10 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W4Current streak
7–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 50% over 10cacheWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
nukeB2210–1245%0.01
dust2B209–1145%-0.02
anubisC145–936%-0.00
infernoC135–838%-0.01
cacheD124–833%0.01
mirageB105–550%-0.01
ancientC94–544%-0.02

Across the last 100 tracked matches.

Lifetime stats

82,351Lifetime kills
0.92K/D
4,555Matches
43.5%Match win rate
32.3%Headshot %
12.7%Shot accuracy · Top 50% of Blue band
9,371MVPs
1,741Hours (in match)
3,402Bombs planted
1,010Bombs defused

Most-used weapons

AK-4718,297
AWP5,988
P902,661
MP72,653
MAC-101,881

Lifetime map wins

7,577inferno
7,239nuke
5,150dust2
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

24Matches
62%Win rate
0.94Avg K/D
81.1ADR
40%Headshot %

Clutches & streaks

44%1v1 clutch win
21%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage786%0.9314.9
Nuke475%1.2521.3
Ancient333%0.7812.0
Dust2250%0.9117.0
Inferno1100%0.7710.0
Anubis10%1.0027.0
Cache10%0.8416.0
Overpass1100%1.5722.0

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.

16.5%Headshot accuracy
31.9%Accuracy (enemy spotted)
33.9%Spray accuracy
67.1%Counter-strafing
11.1°Preaim
676msReaction time
60.3%T opening success
41.9%CT opening success
0.50Enemies flashed / flash
1.4%Flash assists
9.87HE damage / grenade
4.80Flashes / match

Recommended for you

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient16–13-0.0118%12 Oct →
inferno13–80.0211%12 Oct →
inferno13–80.0231%12 Oct →
dust213–9-0.0815%12 Oct →
dust25–130.0018%11 Oct →
ancient13–10-0.009%11 Oct →
nuke13–8-0.0111%11 Oct →
mirage13–30.0612%11 Oct →
dust213–40.0020%11 Oct →
nuke13–30.0716%11 Oct →
inferno13–20.1021%11 Oct →
nuke13–110.0822%11 Oct →
anubis10–13-0.0717%11 Oct →
anubis13–40.0115%11 Oct →
cache13–60.048%11 Oct →
mirage8–13-0.0315%11 Oct →
anubis11–13-0.0213%11 Oct →
dust215–15-0.1019%10 Oct →
ancient13–9-0.0816%10 Oct →
cache4–13-0.0724%10 Oct →
nuke14–16-0.0310%10 Oct →
nuke13–10.0611%10 Oct →
anubis6–130.0713%10 Oct →
inferno7–13-0.0819%10 Oct →
nuke9–13-0.0218%10 Oct →
nuke9–130.0713%10 Oct →
dust213–90.1517%10 Oct →
dust23–13-0.0821%10 Oct →
dust213–20.0432%10 Oct →
ancient6–13-0.0219%10 Oct →
cache13–110.0410%9 Oct →
dust213–10-0.056%9 Oct →
dust28–13-0.0616%9 Oct →
nuke8–13-0.0212%9 Oct →
ancient10–130.0612%9 Oct →
mirage13–10-0.0412%9 Oct →
nuke4–13-0.037%9 Oct →
anubis13–60.0421%8 Oct →
dust213–110.1023%8 Oct →
dust28–13-0.076%8 Oct →
inferno12–16-0.0612%8 Oct →
mirage13–110.0114%8 Oct →
cache4–130.0317%8 Oct →
mirage10–130.0213%7 Oct →
inferno10–130.038%7 Oct →
cache10–13-0.035%7 Oct →
nuke15–15-0.0412%7 Oct →
ancient9–13-0.0410%6 Oct →
cache5–13-0.039%6 Oct →
mirage13–11-0.017%6 Oct →
inferno7–13-0.0621%6 Oct →
nuke9–13-0.0518%6 Oct →
nuke13–20.1816%6 Oct →
cache4–13-0.0511%6 Oct →
mirage13–80.0214%5 Oct →
cache13–100.0514%5 Oct →
cache13–40.1315%5 Oct →
nuke11–130.0614%5 Oct →
dust213–3-0.0216%5 Oct →
mirage3–13-0.0224%5 Oct →
inferno15–150.0614%5 Oct →
dust211–130.0312%4 Oct →
dust213–6-0.0819%4 Oct →
inferno8–13-0.0510%4 Oct →
inferno13–160.0015%4 Oct →
anubis13–100.049%4 Oct →
nuke12–16-0.0611%1 Oct →
nuke13–7-0.0814%29 Sept →
dust27–13-0.0618%27 Sept →
dust28–13-0.0417%27 Sept →
dust215–150.0015%26 Sept →
nuke13–10-0.0113%26 Sept →
anubis9–130.0416%26 Sept →
mirage7–13-0.0811%25 Sept →
inferno9–13-0.069%25 Sept →
anubis13–40.0511%25 Sept →
mirage9–13-0.0516%25 Sept →
nuke12–16-0.0318%25 Sept →
cache5–13-0.0020%25 Sept →
ancient12–16-0.0811%25 Sept →
anubis11–13-0.0014%25 Sept →
dust213–6-0.0122%25 Sept →
nuke6–13-0.039%25 Sept →
cache8–130.0118%24 Sept →
anubis11–130.0218%24 Sept →
dust212–160.0123%23 Sept →
nuke13–100.0519%23 Sept →
anubis10–13-0.0621%23 Sept →
anubis5–13-0.089%23 Sept →
dust25–130.0110%23 Sept →
inferno13–4-0.0510%18 Sept →
ancient13–110.0618%17 Sept →
anubis13–11-0.0113%17 Sept →
cache15–150.0129%17 Sept →
nuke11–13-0.108%17 Sept →
inferno13–70.0120%17 Sept →
nuke13–30.1015%17 Sept →
anubis4–13-0.0515%16 Sept →
ancient3–13-0.0920%16 Sept →
nuke13–4-0.0311%16 Sept →

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.