marcoaga1n

marcoaga1n — CS2 Stats

ES76561199056602053[U:1:1096336325]Steam profile ↗✓ No bans

2,631Tracked matches41%Win rate2020Tracked since
2,219Hours in CS
CSDB Rating5.0 DevelopingSupport
Premier CS Rating12,889Blue band · top ~39.6% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 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: 12,889 -3,154 28 Aug – 2 Nov · 29 days played
12,88916,043peak 16,04328 Aug2 Nov
16,043Peak Premier in tracked matches
26Days played since 2026-08-28

Premier CS Rating

  • 3,154 below peak (16,043)
  • -1,608 over 30 days · declining
  • Next: Purple band at 15,000 — 2,111 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

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 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate49.8%41.8%42.7%above
Shot accuracy10.5%12.2%11.2%0.7% short
Kill/death ratio0.850.980.990.14 short
Match win rate42.5%43.3%43.9%1.4% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmarcoaga1nFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER12,889 · 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

Aim65
Positioning52
Utility63

0–100 skill scores via Leetify.

Recent form

COLD45–52–3Last 10045%Win rateWLLLLWWLLL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +5.3pp headshot accuracy · −31ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 569ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 592ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 608ms

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: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim6.5
Utility6.3
Positioning5.2
Opening Duels2.5

Effective flashes

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

Twistzz

Plays most like Twistzz 83% 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

Areas to improve

Reaction time. 637ms 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

Aim6.5
Positioning5.2
Utility6.3
Mechanics4.8
Opening Duels4.4
Win Impact2.1

Composite 5.0/10 (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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time638ms−2ms
first ⅓ avg 640ms → last ⅓ avg 638ms
Headshot accuracy21.1%+0.5%
first ⅓ avg 20.6% → last ⅓ avg 21.1%

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

0.12Best match rating · 13–5 · anubis, 30 Oct →
54%Best headshot accuracy · 13–11 · cache, 10 Oct →
406msFastest reaction time · 3–13 · inferno, 12 Oct →
13–2Biggest win · nuke, 13 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 53% over 17ancientWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B2210–1245%-0.02
infernoB179–853%-0.02
nukeB168–850%-0.03
cacheB168–850%-0.03
mirageB136–746%-0.01
anubisC104–640%-0.01
ancientD60–60%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,359Lifetime kills
0.85K/D
4,321Matches
42.5%Match win rate
49.8%Headshot % · Top 25% of Level 3 players
10.5%Shot accuracy
8,747MVPs
2,219Hours (in match)
3,636Bombs planted
716Bombs defused

Most-used weapons

Lifetime map wins

10,440inferno
8,103dust2
5,205nuke
1,310vertigo
787train
19bank
17cbble
13ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.9%Headshot accuracy
36.8%Accuracy (enemy spotted)
38.5%Spray accuracy
71.5%Counter-strafing
10.2°Preaim
637msReaction time
51.8%T opening success
43.4%CT opening success
0.72Enemies flashed / flash
5.7%Flash assists
12.08HE damage / grenade
9.63Flashes / 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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–7-0.0523%2 Nov →
dust29–13-0.0417%2 Nov →
dust28–130.0719%2 Nov →
nuke8–13-0.0516%2 Nov →
mirage11–13-0.0413%2 Nov →
inferno16–13-0.0513%2 Nov →
dust213–9-0.0143%2 Nov →
mirage10–13-0.0722%1 Nov →
dust29–13-0.0022%1 Nov →
cache8–13-0.0114%31 Oct →
anubis13–16-0.079%31 Oct →
mirage9–13-0.0312%30 Oct →
anubis13–50.1212%30 Oct →
dust210–13-0.0723%30 Oct →
inferno4–13-0.0213%29 Oct →
mirage13–9-0.0116%29 Oct →
inferno13–9-0.0019%28 Oct →
cache15–15-0.0613%28 Oct →
nuke11–13-0.0812%28 Oct →
cache13–16-0.0120%28 Oct →
mirage10–10.0930%28 Oct →
dust213–90.0115%28 Oct →
mirage13–8-0.0336%28 Oct →
ancient9–13-0.0319%27 Oct →
dust213–80.0226%26 Oct →
mirage9–13-0.0024%26 Oct →
dust211–130.0227%25 Oct →
dust213–5-0.0423%25 Oct →
nuke5–13-0.0426%25 Oct →
dust213–110.0335%25 Oct →
cache13–8-0.0231%24 Oct →
anubis2–13-0.0818%24 Oct →
dust213–50.0138%24 Oct →
nuke11–13-0.0731%22 Oct →
cache7–13-0.0618%22 Oct →
inferno4–13-0.0632%21 Oct →
cache8–13-0.0321%20 Oct →
inferno4–13-0.0913%20 Oct →
inferno5–9-0.0133%20 Oct →
cache9–13-0.0320%20 Oct →
anubis13–70.0228%18 Oct →
inferno13–11-0.0422%18 Oct →
dust26–130.0032%17 Oct →
ancient11–13-0.0216%17 Oct →
mirage13–11-0.0424%16 Oct →
inferno11–130.0013%16 Oct →
nuke16–140.0312%16 Oct →
dust27–13-0.0715%15 Oct →
nuke13–11-0.0415%15 Oct →
nuke9–13-0.0441%15 Oct →
dust25–13-0.0746%14 Oct →
inferno13–90.0422%13 Oct →
inferno13–9-0.0515%13 Oct →
nuke10–130.0224%13 Oct →
anubis13–10-0.0122%13 Oct →
anubis11–130.0426%13 Oct →
nuke13–20.0119%13 Oct →
mirage15–150.0020%13 Oct →
inferno3–13-0.098%12 Oct →
mirage8–13-0.0312%12 Oct →
cache5–13-0.0814%12 Oct →
dust213–50.0022%12 Oct →
dust213–8-0.0416%12 Oct →
dust26–13-0.0321%12 Oct →
nuke8–130.0520%12 Oct →
nuke13–8-0.0114%12 Oct →
inferno7–13-0.0619%11 Oct →
ancient7–13-0.0623%11 Oct →
cache13–7-0.0015%11 Oct →
dust29–13-0.0522%11 Oct →
dust22–13-0.079%10 Oct →
cache13–50.0324%10 Oct →
inferno13–40.0817%10 Oct →
dust28–13-0.0912%10 Oct →
cache13–6-0.0432%10 Oct →
anubis13–9-0.0223%10 Oct →
mirage13–30.0422%10 Oct →
nuke13–2-0.0318%10 Oct →
cache12–10.0450%10 Oct →
anubis9–13-0.0218%10 Oct →
mirage9–13-0.0515%10 Oct →
cache13–110.0154%10 Oct →
nuke13–11-0.0916%10 Oct →
nuke3–9-0.0632%10 Oct →
dust213–110.0316%9 Oct →
mirage13–7-0.0212%5 Oct →
inferno13–30.0811%5 Oct →
inferno8–13-0.0625%5 Oct →
ancient11–130.0122%3 Oct →
nuke13–30.0121%3 Oct →
cache15–150.0013%3 Oct →
dust216–14-0.049%3 Oct →
cache13–10-0.0814%3 Oct →
nuke13–11-0.0112%3 Oct →
inferno13–5-0.0115%3 Oct →
cache13–5-0.0645%3 Oct →
anubis11–13-0.0715%3 Oct →
ancient7–13-0.086%3 Oct →
ancient12–160.0518%2 Oct →
anubis7–130.0125%2 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 →

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