Marcus Marjamato

Marcus Marjamato — CS2 Stats

FI76561198374372658[U:1:414106930]Steam profile ↗✓ No bans

714Tracked matches41%Win rate2024Tracked since
1,593Hours in CS4Hrs last 2 wks
CSDB Rating4.7 DevelopingClutch Specialist
Premier CS Rating9,891Light Blue band · top ~55.4% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (8 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: 9,891 -518 23 May – 5 Oct · 28 days played
9,14911,065peak 11,06523 May5 Oct
11,126Peak Premier in tracked matches
42Days played since 2026-05-22

Premier CS Rating

  • 1,174 below peak (11,065)
  • -1,053 over 30 days · declining
  • +742 over 90 days
  • Next: Blue band at 10,000 — 109 to go
  • Reached: 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate35.4%39.9%42.0%6.6% short
Shot accuracy7.1%7.0%9.6%2.5% short
Kill/death ratio1.000.920.98meets
Match win rate41.7%42.3%43.8%2.1% short

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

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

Share this profile

CSDB.GGMarcus MarjamatoPREMIER9,891 · Light 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

Aim67
Positioning48
Utility60

0–100 skill scores via Leetify.

Recent form

COLD34–60–6Last 10034%Win rateLTLWLLTLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −2.4pp headshot accuracy · +70ms reaction

Win rate 0pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 616ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 620ms

Last 20

  • 6–11–3 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 585ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.9 against its own average).

Aim6.7
Utility6.0
Positioning4.8
Opening Duels3.7
Clutch7.4

Reliable in 1v1s

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

device

Plays most like device 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 570ms 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

Aim6.7
Positioning4.8
Utility6.0
Mechanics5.6
Opening Duels3.4
Win Impact1.9

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 rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time569ms−65ms
first ⅓ avg 634ms → last ⅓ avg 569ms
Headshot accuracy16.7%−1.0%
first ⅓ avg 17.7% → last ⅓ avg 16.7%

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 · 13–0 · nuke, 24 Aug →
33%Best headshot accuracy · 7–9 · inferno, 21 Jun →
453msFastest reaction time · 10–13 · mirage, 15 Aug →
13–0Biggest win · nuke, 24 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–17In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 60% over 10ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoD246–1825%-0.01
nukeC197–1237%-0.01
anubisD155–1033%-0.02
mirageC135–838%-0.03
dust2A106–460%0.01
cacheD93–633%-0.04
ancientD71–614%-0.02
overpass—31–233%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,856Lifetime kills
1.00K/D · Top 50% of Light Blue band
2,145Matches
41.7%Match win rate
35.4%Headshot %
7.1%Shot accuracy · Top 50% of Light Blue band
4,794MVPs
829Hours (in match)
1,813Bombs planted
439Bombs defused

Most-used weapons

Lifetime map wins

2,796dust2
2,504inferno
2,485nuke
1,276train
572office
367vertigo
98lake
59italy

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

Faceit stats

Combat

5Matches
60%Win rate
1.46Avg K/D
90.7ADR
36%Headshot %

Clutches & streaks

57%1v1 clutch win
17%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage450%1.5615.8
Nuke1100%1.0523.0

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
34.8%Accuracy (enemy spotted)
36.0%Spray accuracy
75.2%Counter-strafing
9.3°Preaim
570msReaction time
41.2%T opening success
45.6%CT opening success
0.66Enemies flashed / flash
5.2%Flash assists
11.42HE damage / grenade
14.54Flashes / match

Recommended for you

Spend your practice time on Ancient

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.100%5 Oct →
inferno15–15-0.0211%5 Oct →
dust211–13-0.0821%4 Oct →
dust213–60.0117%4 Oct →
inferno8–13-0.077%4 Oct →
ancient12–160.0711%25 Sept →
cache15–150.0221%17 Sept →
nuke11–13-0.0618%17 Sept →
inferno13–70.0225%17 Sept →
nuke13–3-0.0022%17 Sept →
dust216–130.0814%13 Sept →
inferno9–130.0522%13 Sept →
cache4–13-0.067%10 Sept →
inferno15–150.0120%10 Sept →
mirage9–13-0.0921%10 Sept →
anubis13–7-0.0713%8 Sept →
nuke11–13-0.0420%8 Sept →
anubis13–50.0022%6 Sept →
nuke4–130.0220%6 Sept →
ancient11–13-0.0317%30 Aug →
dust27–13-0.0122%30 Aug →
dust213–5-0.005%27 Aug →
anubis3–13-0.097%27 Aug →
mirage1–13-0.0529%27 Aug →
inferno8–130.0922%27 Aug →
anubis10–13-0.0213%25 Aug →
nuke13–80.0816%25 Aug →
mirage13–11-0.0514%24 Aug →
cache16–14-0.0221%24 Aug →
nuke13–00.1818%24 Aug →
dust25–130.0219%17 Aug →
dust213–70.0127%17 Aug →
mirage10–130.0011%15 Aug →
cache16–14-0.059%15 Aug →
nuke3–13-0.0817%15 Aug →
inferno11–13-0.0026%14 Aug →
anubis10–130.0020%14 Aug →
anubis11–130.019%13 Aug →
anubis4–13-0.0315%12 Aug →
nuke13–7-0.0518%11 Aug →
anubis13–110.0820%11 Aug →
inferno9–40.1231%9 Aug →
anubis14–16-0.0126%9 Aug →
mirage13–10-0.0315%9 Aug →
inferno13–100.0017%9 Aug →
inferno13–50.025%8 Aug →
dust216–140.0220%7 Aug →
ancient12–160.0719%7 Aug →
nuke12–16-0.0313%6 Aug →
cache4–13-0.067%6 Aug →
nuke15–15-0.0312%6 Aug →
inferno5–13-0.0815%6 Aug →
inferno10–130.0110%4 Aug →
cache4–13-0.077%3 Aug →
cache2–13-0.0325%3 Aug →
anubis13–100.0221%3 Aug →
inferno7–9-0.0525%3 Aug →
inferno13–70.0311%2 Aug →
anubis10–13-0.0023%2 Aug →
ancient10–13-0.0513%2 Aug →
nuke11–13-0.0323%26 Jul →
inferno6–13-0.0117%22 Jul →
mirage13–80.0526%22 Jul →
anubis13–4-0.0214%22 Jul →
ancient7–13-0.0722%22 Jul →
inferno11–13-0.0419%15 Jul →
inferno13–100.0214%14 Jul →
cache13–2-0.0616%14 Jul →
nuke13–50.0224%14 Jul →
ancient3–13-0.0818%11 Jul →
anubis2–13-0.0114%11 Jul →
dust28–130.0029%11 Jul →
mirage11–13-0.0215%5 Jul →
nuke7–13-0.0420%3 Jul →
cache12–12-0.0318%3 Jul →
inferno11–13-0.0413%30 Jun →
inferno12–16-0.0414%30 Jun →
overpass5–13-0.038%30 Jun →
nuke7–130.0711%25 Jun →
overpass6–13-0.0420%25 Jun →
mirage1–13-0.1214%25 Jun →
mirage13–110.069%24 Jun →
nuke13–7-0.0116%24 Jun →
anubis6–13-0.0424%24 Jun →
ancient13–9-0.067%21 Jun →
mirage13–6-0.0017%21 Jun →
inferno7–9-0.0733%21 Jun →
nuke9–30.0813%18 Jun →
inferno2–13-0.1027%9 Jun →
nuke11–13-0.0916%9 Jun →
anubis11–13-0.0813%5 Jun →
mirage10–13-0.0519%28 May →
inferno3–13-0.0430%28 May →
inferno11–130.0422%28 May →
mirage6–13-0.0310%28 May →
dust213–50.0221%28 May →
nuke8–130.0223%23 May →
overpass13–30.0621%23 May →
nuke7–9-0.1417%22 May →
inferno8–8-0.0110%22 May →

Match data via Leetify.

Recent teammates

Milestones

500 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.