Maria <3

Maria <3 — CS2 Stats

DK76561198363757354[U:1:403491626]Steam profile ↗✓ No bans

2,502Tracked matches38%Win rate2020Tracked since
CSDB Rating3.2 LearningPositional Player
Premier CS Rating9,436Light Blue band · top ~57.6% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (2 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: 9,436 +300 13 Sept – 24 Oct · 31 days played
7,09110,106peak 10,10613 Sept24 Oct
Faceit ELO: 931 +0 13 Sept – 25 Sept · 5 observations
931931peak 93113 Sept25 Sept
10,106Peak Premier in tracked matches
931Highest Faceit ELO seen on CSDB
33Days played since 2026-09-13

Faceit ELO

  • At peak — 931
  • Next: Level 5 at 1,051 — 120 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-13
  • Level 3 first seen 2026-09-13

Premier CS Rating

  • 670 below peak (10,106)
  • -333 over 30 days · steady
  • Next: Blue band at 10,000 — 564 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-22
  • Light Blue band first seen 2026-09-13

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.GGMaria <3PREMIER9,436 · Light Blue bandPEAK ELO931csdb.gg/stats

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Performance scores

Aim28
Positioning52
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY37–57–6Last 10037%Win rateLWLLWLWLWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +2.1pp headshot accuracy · −58ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 659ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 681ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 709ms

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 (+1.9 against its own average).

Aim2.8
Utility4.3
Positioning5.2
Opening Duels0.6
Clutch3.0

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.

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

ZywOo

Plays most like ZywOo 63% 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. 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 69% 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

Aim2.8
Positioning5.2
Utility4.3
Mechanics4.3
Opening Duels3.2
Win Impact1.0

Composite 3.2/10 (Learning), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time676ms+50ms
first ⅓ avg 627ms → last ⅓ avg 676ms
Headshot accuracy12.7%−1.3%
first ⅓ avg 14.0% → last ⅓ avg 12.7%

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

0.11Best match rating · 13–5 · inferno, 18 Sept →
28%Best headshot accuracy · 13–5 · inferno, 18 Sept →
469msFastest reaction time · 13–11 · inferno, 13 Oct →
13–4Biggest win · nuke, 30 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
7–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 50% over 14anubisWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB2813–1546%-0.01
nukeC219–1243%-0.01
ancientB147–750%0.01
cacheD102–820%-0.02
anubisD81–713%-0.02
dust2C83–538%-0.02
mirageD72–529%0.00
train—20–20%-0.02
overpass—10–10%-0.02
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

546Matches
51%Win rate
0.75Avg K/D
72.8ADR
44%Headshot %

Clutches & streaks

35%1v1 clutch win
15%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient10146%0.7913.0
Inferno9958%0.8813.6
Nuke8753%0.7813.2
Anubis5044%0.7814.2
Train2552%0.8313.6
Overpass1471%0.8713.3
Vertigo667%0.6313.2
Dust2540%0.6010.6

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.

12.3%Headshot accuracy
33.2%Accuracy (enemy spotted)
33.4%Spray accuracy
69.2%Counter-strafing
13.9°Preaim
676msReaction time
48.5%T opening success
37.2%CT opening success
0.61Enemies flashed / flash
2.3%Flash assists
9.49HE damage / grenade
1.89Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.8582° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.2504% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

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

    Flashes per match 1.8942 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke5–13-0.0617%24 Oct →
ancient16–12-0.0218%24 Oct →
nuke11–13-0.0910%24 Oct →
inferno6–13-0.058%23 Oct →
mirage13–80.0716%22 Oct →
ancient10–130.0211%22 Oct →
nuke13–7-0.0218%22 Oct →
anubis7–13-0.0313%21 Oct →
nuke13–100.018%21 Oct →
anubis8–130.0014%20 Oct →
inferno8–0-0.077%20 Oct →
cache8–13-0.0514%20 Oct →
inferno13–90.0911%19 Oct →
anubis9–13-0.079%19 Oct →
nuke4–13-0.1013%19 Oct →
cache5–13-0.0716%17 Oct →
dust26–13-0.009%17 Oct →
cache13–10-0.037%17 Oct →
ancient13–6-0.0114%17 Oct →
dust26–13-0.0611%17 Oct →
inferno6–13-0.0614%16 Oct →
dust25–13-0.0016%16 Oct →
inferno13–11-0.0210%16 Oct →
ancient9–13-0.0117%16 Oct →
anubis4–130.0010%16 Oct →
nuke15–15-0.0310%15 Oct →
ancient13–50.0512%15 Oct →
dust210–13-0.0613%14 Oct →
nuke13–70.0311%14 Oct →
inferno12–16-0.0011%14 Oct →
overpass8–8-0.0219%14 Oct →
inferno13–110.0116%13 Oct →
nuke11–130.0719%13 Oct →
inferno13–110.0616%13 Oct →
inferno13–9-0.0018%12 Oct →
anubis7–13-0.045%12 Oct →
ancient13–50.0610%12 Oct →
inferno8–13-0.0312%11 Oct →
nuke13–70.1016%11 Oct →
inferno13–11-0.0315%11 Oct →
ancient7–13-0.0210%9 Oct →
train11–13-0.0315%9 Oct →
cache10–13-0.0821%9 Oct →
inferno10–13-0.0211%9 Oct →
nuke8–13-0.0210%9 Oct →
inferno7–13-0.0413%8 Oct →
nuke13–70.0111%8 Oct →
dust213–110.0313%7 Oct →
cache10–130.0014%7 Oct →
mirage9–130.0113%7 Oct →
ancient7–130.0116%7 Oct →
dust213–10-0.0010%4 Oct →
mirage5–13-0.089%4 Oct →
inferno15–15-0.0112%3 Oct →
mirage2–13-0.0214%3 Oct →
dust213–8-0.027%3 Oct →
nuke6–13-0.0210%3 Oct →
dust21–13-0.0721%2 Oct →
cache3–13-0.0115%2 Oct →
ancient13–11-0.0210%2 Oct →
inferno13–80.039%2 Oct →
ancient8–130.0113%1 Oct →
inferno5–13-0.003%1 Oct →
anubis5–13-0.0315%30 Sept →
nuke13–40.0516%30 Sept →
ancient10–130.018%30 Sept →
mirage5–130.0316%29 Sept →
inferno5–13-0.0313%29 Sept →
mirage9–13-0.0110%28 Sept →
nuke13–6-0.0310%27 Sept →
inferno11–130.0212%27 Sept →
ancient11–130.0016%26 Sept →
train4–13-0.008%25 Sept →
vertigo12–12-0.048%25 Sept →
cache11–13-0.0124%25 Sept →
inferno13–10-0.0413%25 Sept →
inferno14–160.0115%24 Sept →
nuke10–13-0.066%23 Sept →
inferno13–70.0213%23 Sept →
inferno13–7-0.0416%23 Sept →
inferno12–16-0.0422%22 Sept →
cache10–130.059%22 Sept →
nuke14–16-0.0112%22 Sept →
nuke6–130.0913%22 Sept →
inferno6–13-0.068%22 Sept →
mirage13–90.0014%22 Sept →
inferno13–5-0.0216%21 Sept →
anubis13–90.0517%21 Sept →
nuke4–13-0.044%21 Sept →
ancient13–11-0.0217%21 Sept →
inferno11–13-0.0725%21 Sept →
cache7–130.0113%21 Sept →
nuke16–13-0.0119%20 Sept →
nuke15–15-0.0217%20 Sept →
cache13–7-0.0423%19 Sept →
nuke13–50.0510%19 Sept →
anubis1–13-0.068%19 Sept →
ancient16–130.036%18 Sept →
inferno15–15-0.0417%18 Sept →
inferno13–50.1128%18 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 →

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