Maria <3

Maria <3 — CS2 Stats

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

2,409Tracked matches46%Win rate2020Tracked since
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating9,472Light Blue band · top ~57.4% of ranked players (population est.)
FaceitLevel 4 · 931 ELOTop 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 9,472 → 9,472
0Faceit ELO · 931 → 931
+6Tracked matches · now 2,409
−5.4ppWin rate · 51.8% → 46.4%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 29 days played since 21 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 9,472 -288 21 Aug22 Sept · 28 days played
8,49912,493peak 12,49321 Aug22 Sept
Faceit ELO: 931 +0 13 Sept22 Sept · 3 observations
931931peak 93113 Sept22 Sept
12,493Peak Premier in tracked matches
931Highest Faceit ELO seen on CSDB
29Days played since 2026-08-21

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

  • 3,021 below peak (12,493)
  • +152 over 30 days · steady
  • Next: Blue band at 10,000 528 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 <3FACEITLevel 4 · 931 ELOSTANDINGTop 81.0% of rankedPREMIER9,472 · Light Blue bandPEAK ELO931csdb.gg/stats

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Performance scores

Aim40
Positioning71
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY43534Last 10043%Win rateLLLLLWWWLW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −3.4pp headshot accuracy · −6ms 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

  • 05 · 0% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 625ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 631ms

Last 20

  • 992 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 634ms

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 PlayerPositioning stands above the rest of this profile (+2 against its own average).

Aim4.0
Utility5.0
Positioning7.1
Opening Duels5.2
Clutch3.2

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 62% 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

Strengths

T openings. 68% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 633ms 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

Aim4.0
Positioning7.1
Utility5.0
Mechanics3.6
Opening Duels7.7
Win Impact3.8

Composite 4.6/10 (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 rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time618ms+13ms
first ⅓ avg 605ms → last ⅓ avg 618ms
Headshot accuracy14.2%−0.9%
first ⅓ avg 15.1% → last ⅓ avg 14.2%

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

0.28Best match rating · 9–1 · debris, 29 Aug
29%Best headshot accuracy · 3–13 · cache, 29 Aug
438msFastest reaction time · 6–13 · anubis, 4 Sept
13–2Biggest win · inferno, 17 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
L5Current streak
69In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 50% over 20cacheWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
infernoC2291341%-0.01
nukeB2091145%0.00
ancientB20101050%-0.00
cacheD1551033%-0.01
anubisC135838%-0.01
mirage42250%-0.01
overpass31233%0.02
debris220100%0.12
dust21010%-0.10

Across the last 100 tracked matches.

Faceit stats

Combat

534Matches
51%Win rate
0.75Avg K/D
72.3ADR
44%Headshot %

Clutches & streaks

36%1v1 clutch win
15%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient9945%0.7912.9
Inferno9958%0.8813.6
Nuke8353%0.7713.0
Anubis4844%0.7713.3
Train2552%0.8313.6
Overpass1471%0.8713.3
Dust2540%0.6010.6
Vertigo367%0.5311.0

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.

14.4%Headshot accuracy
35.0%Accuracy (enemy spotted)
35.5%Spray accuracy
66.2%Counter-strafing
12.7°Preaim
633msReaction time
67.9%T opening success
53.3%CT opening success
0.50Enemies flashed / flash
6.7%Flash assists
13.30HE damage / grenade
2.08Flashes / 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 12.7453° — 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 14.3944% — below the 15% mark we flag

    Aim Training
  3. 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 0.4973 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Cache

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
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
inferno7–13-0.0317%18 Sept
ancient14–16-0.0212%17 Sept
inferno13–20.046%17 Sept
nuke7–130.019%17 Sept
ancient13–50.0313%16 Sept
ancient16–13-0.0014%16 Sept
ancient10–13-0.0113%15 Sept
nuke10–13-0.0313%15 Sept
inferno13–110.0119%15 Sept
mirage7–130.0912%14 Sept
nuke13–110.0114%14 Sept
ancient9–130.0715%13 Sept
inferno16–12-0.0417%13 Sept
anubis11–13-0.006%13 Sept
cache5–130.0220%12 Sept
overpass12–120.0222%12 Sept
nuke7–13-0.0813%12 Sept
anubis13–9-0.0210%12 Sept
ancient13–10-0.0117%12 Sept
inferno5–13-0.0117%12 Sept
cache13–11-0.0015%11 Sept
inferno14–160.0013%11 Sept
ancient13–60.0618%11 Sept
overpass7–90.0116%11 Sept
nuke8–8-0.049%11 Sept
inferno5–9-0.0216%11 Sept
anubis11–130.0617%10 Sept
anubis5–13-0.0410%10 Sept
nuke9–130.0613%10 Sept
nuke13–60.0320%9 Sept
anubis10–130.0316%9 Sept
anubis13–50.0013%9 Sept
mirage8–13-0.0918%8 Sept
anubis4–130.0012%8 Sept
ancient2–13-0.0219%8 Sept
anubis13–11-0.075%7 Sept
ancient7–130.0410%7 Sept
cache4–13-0.0714%7 Sept
overpass9–60.0218%7 Sept
ancient4–13-0.086%6 Sept
nuke1–13-0.0611%6 Sept
cache12–16-0.0019%6 Sept
nuke5–13-0.0112%4 Sept
inferno13–90.0215%4 Sept
ancient8–13-0.0421%4 Sept
ancient11–13-0.0120%4 Sept
anubis6–13-0.0218%4 Sept
cache13–7-0.0213%3 Sept
ancient3–130.0410%3 Sept
ancient13–110.0015%3 Sept
nuke13–60.0421%3 Sept
inferno13–80.0017%2 Sept
inferno13–80.0613%2 Sept
inferno10–130.0318%2 Sept
cache11–13-0.0219%2 Sept
anubis5–130.0414%2 Sept
cache13–90.0010%1 Sept
inferno3–13-0.0515%1 Sept
ancient13–6-0.0414%1 Sept
inferno9–13-0.0617%1 Sept
debris9–6-0.0421%31 Aug
inferno9–40.0413%31 Aug
ancient13–60.0915%29 Aug
anubis13–6-0.0620%29 Aug
mirage13–8-0.0619%29 Aug
cache3–130.0529%29 Aug
debris9–10.2822%29 Aug
nuke13–90.0219%27 Aug
inferno5–13-0.0316%27 Aug
ancient13–9-0.065%26 Aug
nuke13–30.0414%26 Aug
cache8–130.0317%26 Aug
inferno10–13-0.0615%25 Aug
cache13–10-0.0121%25 Aug
cache6–13-0.150%24 Aug
nuke13–30.1014%24 Aug
nuke13–7-0.079%24 Aug
ancient10–13-0.059%23 Aug
cache8–130.0117%23 Aug
dust21–13-0.109%21 Aug

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 →