Marcellica

Marcellica — CS2 Stats

JP76561198122663568[U:1:162397840]Steam profile ↗✓ No bans

1,396Tracked matches53%Win rate2022Tracked since
1,585Hours in CS
CSDB Rating5.6 SolidHybrid Rifler
Premier CS Rating19,388Purple band · top ~10.9% of ranked players (population est.)
CSDB Leaderboard#22919 of 54535 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=1,660), 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 5 medianLevel 6 medianvs Level 6
Headshot rate47.5%44.0%44.7%above
Shot accuracy11.3%11.6%11.9%0.6% short
Kill/death ratio0.881.031.040.16 short
Match win rate37.0%45.1%45.2%8.1% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMarcellicaFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER19,388 · Purple bandcsdb.gg/stats

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Performance scores

Aim66
Positioning40
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY47485Last 10047%Win rateWLWLWWLLWW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.6
Aggression5.2
Utility5.2
Positioning4.0
Opening Duels2.0

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.

Your pro match

NiKo

Plays most like NiKo 85% playstyle similarity

Most alike: opening-fight frequency, 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. 642ms 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

Aim6.6
Positioning4.0
Utility5.2
Mechanics8.2
Opening Duels2.0
Win Impact6.1

Composite 5.6/10 (Solid), 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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time636ms−22ms
first ⅓ avg 658ms → last ⅓ avg 636ms
Headshot accuracy24.8%+3.1%
first ⅓ avg 21.7% → last ⅓ avg 24.8%

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.

Highlights

0.19Best rating — debris 9–1
130Biggest win — nuke
5Longest win streak
76In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 56% over 16dust2Weakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
dust2C2181338%-0.01
nukeB168850%0.00
cacheA169756%0.01
mirageB115645%0.00
infernoC104640%-0.01
ancientB63350%0.00
anubis42250%-0.01
vertigo41325%-0.01
boulder3030%-0.03
office220100%-0.02
train21150%0.01
debris110100%0.19
eldorado110100%-0.06
fachwerk1010%-0.00
shelter110100%0.11
overpass110100%0.18

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

90,704Lifetime kills
0.88K/D
6,039Matches
37.0%Match win rate
47.5%Headshot % · Top 50% of Level 5 players
11.3%Shot accuracy
6,712MVPs
1,585Hours (in match)
2,812Bombs planted
593Bombs defused

Most-used weapons

AK-4719,743
AWP4,042
MAC-103,118
MP93,099
FAMAS2,212

Lifetime map wins

5,874inferno
5,225dust2
3,320nuke
1,961train
1,280vertigo
873office
197lake
174safehouse

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

Faceit stats

Combat

9Matches
56%Win rate
0.80Avg K/D
ADR
40%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno333%0.7912.3
Mirage333%0.6210.7
Ancient1100%1.2012.0
Nuke1100%1.0019.0
Vertigo1100%0.7414.0

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.

24.9%Headshot accuracy
29.8%Accuracy (enemy spotted)
34.0%Spray accuracy
87.0%Counter-strafing
10.9°Preaim
642msReaction time
38.7%T opening success
37.1%CT opening success
0.61Enemies flashed / flash
16.4%Flash assists
10.08HE damage / grenade
3.17Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.1667 — below the 4 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 38.6748% — below the 40% mark we flag

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.

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke16–14-0.0429%15 Aug
nuke4–130.0419%15 Aug
anubis13–110.0231%15 Aug
ancient11–13-0.0613%15 Aug
inferno13–9-0.0420%14 Aug
dust213–9-0.0229%14 Aug
nuke3–130.0250%14 Aug
nuke10–13-0.0420%14 Aug
inferno13–60.0833%7 Aug
dust213–60.0329%7 Aug
cache13–9-0.0123%6 Aug
nuke13–110.0431%4 Aug
dust24–13-0.0619%4 Aug
vertigo10–13-0.0319%4 Aug
vertigo13–6-0.0610%4 Aug
dust213–80.0221%28 Jul
cache3–130.0246%28 Jul
cache13–100.0537%28 Jul
mirage13–2-0.0132%28 Jul
dust27–13-0.0218%19 Jul
boulder7–13-0.0221%19 Jul
ancient13–9-0.0018%18 Jul
inferno2–13-0.0833%18 Jul
cache3–13-0.0311%18 Jul
inferno6–13-0.0218%17 Jul
cache13–110.0231%17 Jul
nuke8–13-0.0816%17 Jul
dust213–7-0.0127%17 Jul
cache13–80.1017%17 Jul
inferno14–16-0.0130%17 Jul
nuke13–80.1035%15 Jul
dust21–13-0.0313%14 Jul
mirage3–130.0420%14 Jul
cache6–13-0.0424%14 Jul
anubis13–50.0526%14 Jul
vertigo6–130.0433%14 Jul
boulder8–13-0.0343%14 Jul
dust212–120.0122%14 Jul
nuke13–100.0114%13 Jul
vertigo6–130.0021%13 Jul
dust211–130.0038%13 Jul
nuke13–100.0020%13 Jul
dust210–13-0.0727%13 Jul
dust210–13-0.0217%13 Jul
cache5–130.0113%12 Jul
dust28–13-0.036%12 Jul
cache13–30.0322%11 Jul
anubis9–13-0.076%11 Jul
mirage7–13-0.0226%11 Jul
ancient13–30.0023%11 Jul
mirage13–5-0.0933%11 Jul
cache13–11-0.056%11 Jul
ancient13–50.0219%11 Jul
dust25–13-0.0222%11 Jul
ancient14–16-0.0222%11 Jul
mirage5–13-0.043%11 Jul
nuke13–00.0026%11 Jul
dust213–60.0418%11 Jul
nuke13–100.0027%11 Jul
debris9–10.1924%10 Jul
eldorado9–6-0.0628%10 Jul
boulder12–12-0.0226%10 Jul
fachwerk11–13-0.0016%10 Jul
shelter13–10.1130%10 Jul
nuke15–15-0.0222%10 Jul
mirage11–13-0.0219%10 Jul
dust213–8-0.0318%9 Jul
mirage13–8-0.0322%9 Jul
inferno10–13-0.0319%9 Jul
anubis5–13-0.0319%9 Jul
dust213–90.0116%9 Jul
nuke13–10-0.0027%9 Jul
dust23–11-0.0515%9 Jul
mirage13–10.0126%9 Jul
cache13–9-0.0023%9 Jul
inferno13–70.0431%9 Jul
nuke9–13-0.0116%9 Jul
office13–60.0020%8 Jul
office13–11-0.0324%8 Jul
cache13–70.0020%8 Jul
nuke7–13-0.0321%8 Jul
inferno5–9-0.084%8 Jul
train4–13-0.0229%8 Jul
cache5–13-0.0227%8 Jul
overpass13–60.1823%7 Jul
dust213–40.0528%7 Jul
dust27–13-0.0616%7 Jul
cache6–13-0.0122%7 Jul
train13–110.0423%6 Jul
dust28–13-0.0431%6 Jul
mirage3–13-0.0215%6 Jul
dust27–13-0.0218%5 Jul
inferno6–13-0.049%5 Jul
inferno13–90.1128%4 Jul
mirage12–120.1224%4 Jul
cache13–70.0822%4 Jul
cache12–12-0.0520%4 Jul
ancient6–130.0820%4 Jul
nuke6–130.0425%4 Jul
mirage13–50.1134%4 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 →