Maracuja

Maracuja — CS2 Stats

76561198047734777[U:1:87469049]Steam profile ↗✓ No bans

2,331Tracked matches63%Win rate2024Tracked since
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating15,608Purple band · top ~26% of ranked players (population est.)
FaceitLevel 6 · 1,149 ELOTop 54.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (6 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: 15,608 -2,363 29 Jul – 3 Oct · 19 days played
15,60819,562peak 19,56229 Jul3 Oct
Faceit ELO: 1,149 +0 3 Sept – 15 Sept · 3 observations
1,1491,149peak 1,1493 Sept15 Sept
19,562Peak Premier in tracked matches
1,149Highest Faceit ELO seen on CSDB
57Days played since 2026-07-12

Faceit ELO

  • At peak — 1,149
  • Next: Level 6 at 1,201 — 52 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-03
  • Level 4 first seen 2026-09-03

Premier CS Rating

  • 3,954 below peak (19,562)
  • -1,956 over 30 days · declining
  • Next: Pink band at 20,000 — 4,392 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGMaracujaFACEITLevel 6 · 1,149 ELOSTANDINGTop 54.0% of rankedPREMIER15,608 · Purple bandPEAK ELO1,149csdb.gg/stats

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Performance scores

Aim47
Positioning51
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateWWWLWWLLWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −1.4pp headshot accuracy · −49ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 605ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 598ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 622ms

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 (+1.4 against its own average).

Aim4.7
Utility3.3
Positioning5.1
Opening Duels2.9
Clutch3.6

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 84% 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. 610ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim4.7
Positioning5.1
Utility3.3
Mechanics3.6
Opening Duels2.4
Win Impact9.4

Composite 4.6/10 (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+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time611ms−6ms
first ⅓ avg 617ms → last ⅓ avg 611ms
Headshot accuracy16.0%+0.4%
first ⅓ avg 15.6% → last ⅓ avg 16.0%

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

0.10Best match rating · 13–5 · nuke, 30 Sept →
35%Best headshot accuracy · 2–13 · dust2, 18 Jul →
438msFastest reaction time · 16–14 · anubis, 8 Oct →
13–0Biggest win · inferno, 29 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W3Current streak
11–11In matches decided by ≤2 rounds
15Overtime games

Map breakdown

cacheBest map · 75% over 8infernoWeakest map · 41% over 22
MapGradePlayedRecordWin rateAvg rating
infernoC229–1341%-0.03
ancientB2111–1052%-0.03
anubisB189–950%-0.01
dust2C125–742%-0.02
nukeA116–555%-0.01
cacheS86–275%0.01
mirageS75–271%-0.01
fachwerk—11–0100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (41% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,465Matches
50%Win rate
0.90Avg K/D
74.2ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno30647%0.9014.1
Ancient26950%0.8814.6
Anubis23250%0.9414.7
Dust222747%0.8313.5
Mirage15255%0.9013.9
Nuke13754%0.9414.4
Cache7056%1.0114.8
Overpass5654%0.7812.9

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.

16.0%Headshot accuracy
31.0%Accuracy (enemy spotted)
34.9%Spray accuracy
66.3%Counter-strafing
9.9°Preaim
610msReaction time
32.4%T opening success
46.9%CT opening success
0.31Enemies flashed / flash
1.0%Flash assists
10.82HE damage / grenade
3.90Flashes / 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 0.3086 — 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 32.4015% — below the 40% mark we flag

Spend your practice time on Inferno

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

41% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis16–140.0412%8 Oct →
cache13–110.0220%7 Oct →
ancient13–7-0.0716%3 Oct →
inferno8–13-0.0414%3 Oct →
nuke13–50.1011%30 Sept →
anubis16–13-0.028%28 Sept →
inferno2–13-0.124%27 Sept →
ancient7–13-0.1112%27 Sept →
inferno13–110.0521%26 Sept →
anubis7–13-0.0726%24 Sept →
mirage13–10-0.0514%24 Sept →
dust213–70.0320%23 Sept →
anubis16–13-0.0016%23 Sept →
ancient8–13-0.117%16 Sept →
nuke13–3-0.0315%16 Sept →
ancient13–5-0.0416%16 Sept →
inferno13–11-0.0117%14 Sept →
inferno3–13-0.0717%13 Sept →
nuke13–8-0.0226%13 Sept →
dust26–13-0.0711%12 Sept →
anubis10–13-0.0525%11 Sept →
fachwerk13–60.0314%10 Sept →
ancient3–130.0029%10 Sept →
ancient9–130.0326%10 Sept →
inferno13–110.0127%9 Sept →
inferno9–13-0.0312%9 Sept →
ancient13–3-0.0415%9 Sept →
ancient13–11-0.0515%7 Sept →
mirage16–140.0510%6 Sept →
inferno13–70.067%6 Sept →
mirage16–130.0613%6 Sept →
inferno8–13-0.0914%5 Sept →
ancient13–100.0218%4 Sept →
anubis4–130.0322%4 Sept →
anubis8–13-0.0210%3 Sept →
inferno8–13-0.0627%3 Sept →
anubis16–140.0212%3 Sept →
inferno9–13-0.0124%3 Sept →
nuke3–13-0.0730%2 Sept →
anubis8–130.0422%2 Sept →
mirage11–13-0.0218%1 Sept →
anubis11–13-0.037%31 Aug →
dust215–15-0.0422%31 Aug →
nuke2–13-0.0721%31 Aug →
nuke15–15-0.0314%30 Aug →
ancient13–7-0.0422%30 Aug →
mirage11–13-0.1015%30 Aug →
anubis14–16-0.0221%27 Aug →
ancient13–80.014%24 Aug →
dust26–13-0.0514%24 Aug →
cache13–8-0.0117%23 Aug →
dust213–7-0.0219%22 Aug →
mirage13–7-0.0116%22 Aug →
ancient5–13-0.053%22 Aug →
cache13–50.0514%22 Aug →
nuke13–70.0615%20 Aug →
ancient11–13-0.0318%19 Aug →
anubis13–100.0521%19 Aug →
nuke22–18-0.0514%19 Aug →
inferno9–130.0221%18 Aug →
inferno13–7-0.028%18 Aug →
dust215–19-0.0120%17 Aug →
dust213–100.0224%17 Aug →
mirage13–11-0.0016%17 Aug →
cache11–130.0226%16 Aug →
dust25–13-0.0813%15 Aug →
inferno12–16-0.095%13 Aug →
inferno15–15-0.0619%12 Aug →
dust213–100.0416%11 Aug →
anubis13–30.0414%9 Aug →
ancient8–13-0.1124%4 Aug →
nuke11–130.0021%3 Aug →
ancient13–8-0.0013%2 Aug →
inferno7–13-0.0228%1 Aug →
ancient13–90.0111%1 Aug →
ancient13–80.0618%31 Jul →
cache13–50.0414%31 Jul →
inferno13–8-0.018%30 Jul →
inferno13–0-0.036%29 Jul →
cache13–11-0.0318%29 Jul →
dust213–110.028%29 Jul →
anubis13–3-0.038%26 Jul →
anubis8–13-0.0515%25 Jul →
dust29–13-0.0615%24 Jul →
inferno3–13-0.0814%21 Jul →
nuke11–13-0.0217%19 Jul →
anubis13–100.0213%19 Jul →
inferno13–6-0.0312%18 Jul →
cache13–5-0.019%18 Jul →
nuke13–5-0.0114%18 Jul →
dust22–13-0.0735%18 Jul →
ancient13–9-0.0314%18 Jul →
inferno7–13-0.0217%16 Jul →
ancient11–130.0311%16 Jul →
inferno16–12-0.0317%15 Jul →
cache6–13-0.0220%14 Jul →
anubis9–1-0.0328%13 Jul →
ancient14–16-0.0217%12 Jul →
ancient7–13-0.119%12 Jul →
anubis11–13-0.0514%12 Jul →

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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