maritza

maritza — CS2 Stats

DK76561198156295196[U:1:196029468]Steam profile ↗✓ No bans

1,030Tracked matches55%Win rate2022Tracked since
1,400Hours in CS25Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating14,887Blue band · top ~29% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (5 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: 14,887 -757 31 Aug – 10 Nov · 16 days played
14,88717,108peak 17,10831 Aug10 Nov
17,108Peak Premier in tracked matches
42Days played since 2026-07-23

Premier CS Rating

  • 2,221 below peak (17,108)
  • -1,377 over 30 days · declining
  • Next: Purple band at 15,000 — 113 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-04
  • Blue band first seen 2026-09-04

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 6 among CSDB-tracked players (n=13,777), 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 6 medianLevel 7 medianvs Level 7
Headshot rate42.5%44.8%45.7%3.2% short
Shot accuracy6.9%12.4%12.7%5.8% short
Kill/death ratio0.681.031.050.37 short
Match win rate44.3%45.2%45.7%1.4% short

This profile sits below the typical Level 7 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmaritzaFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER14,887 · 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

Aim83
Positioning57
Utility16

0–100 skill scores via Leetify.

Recent form

STEADY49–50–1Last 10049%Win rateWWLLTLLWWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +3.8pp headshot accuracy · −33ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 503ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 29%
  • Avg reaction 557ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 27%
  • Avg reaction 573ms

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 (+2.1 against its own average).

Aim8.3
Utility1.6
Positioning5.7
Opening Duels3.8
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 80% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Counter-strafing. Only 68% 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

Aim8.3
Positioning5.7
Utility1.6
Mechanics4.0
Opening Duels6.0
Win Impact6.7

Composite 5.5/10 (Solid), 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 time565ms−2ms
first ⅓ avg 567ms → last ⅓ avg 565ms
Headshot accuracy26.0%−1.8%
first ⅓ avg 27.8% → last ⅓ avg 26.0%

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

0.14Best match rating · 9–7 · nuke, 15 Aug →
53%Best headshot accuracy · 13–7 · anubis, 13 Oct →
359msFastest reaction time · 11–13 · ancient, 22 Oct →
13–1Biggest win · inferno, 28 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W2Current streak
12–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 62% over 21infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
ancientB2914–1548%-0.01
nukeA2113–862%-0.00
cacheB178–947%-0.03
anubisB105–550%-0.03
mirageC104–640%-0.05
infernoD93–633%-0.06
dust2—42–250%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,996Lifetime kills
0.68K/D
1,647Matches
44.3%Match win rate
42.5%Headshot %
6.9%Shot accuracy
2,340MVPs
724Hours (in match)
1,724Bombs planted
344Bombs defused

Most-used weapons

AWP5,834
AK-473,873
Knife529
MP9173

Lifetime map wins

3,154nuke
2,617inferno
1,543dust2
62vertigo
21bank
9train
3cbble
2ar_monastery

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

Faceit stats

Combat

590Matches
49%Win rate
0.93Avg K/D
65.8ADR
47%Headshot %

Clutches & streaks

36%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient17350%0.9513.8
Nuke10458%1.0813.6
Cache8141%0.9314.7
Anubis7349%0.8713.7
Inferno6162%0.9312.9
Mirage5340%0.8012.6
Dust24038%0.8412.7
Overpass40%0.6310.5

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
36.4%Accuracy (enemy spotted)
36.8%Spray accuracy
67.8%Counter-strafing
6.6°Preaim
547msReaction time
55.8%T opening success
52.4%CT opening success
0.27Enemies flashed / flash
1.5%Flash assists
4.14HE damage / grenade
1.34Flashes / 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 0.2734 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–11-0.0133%11 Nov →
nuke13–90.0217%11 Nov →
cache5–13-0.0712%11 Nov →
ancient7–130.0429%11 Nov →
dust215–15-0.0450%10 Nov →
nuke10–13-0.0138%10 Nov →
ancient11–13-0.0830%10 Nov →
anubis13–30.0329%10 Nov →
nuke13–6-0.0528%4 Nov →
cache13–11-0.0127%4 Nov →
cache4–13-0.129%4 Nov →
ancient13–110.0045%4 Nov →
inferno13–100.0122%4 Nov →
mirage4–13-0.0250%31 Oct →
mirage4–13-0.1027%31 Oct →
nuke13–70.0630%30 Oct →
cache13–80.0221%30 Oct →
ancient11–13-0.0711%30 Oct →
ancient7–13-0.0422%29 Oct →
cache13–9-0.0517%29 Oct →
ancient13–11-0.0425%29 Oct →
ancient13–40.0619%28 Oct →
ancient8–130.0516%28 Oct →
ancient19–170.0414%28 Oct →
inferno13–10.0636%28 Oct →
ancient10–13-0.0817%26 Oct →
cache11–13-0.0328%26 Oct →
ancient11–13-0.008%22 Oct →
inferno4–9-0.1341%14 Oct →
cache13–10-0.0616%14 Oct →
nuke13–9-0.0125%13 Oct →
anubis13–7-0.0053%13 Oct →
cache6–13-0.0715%11 Oct →
mirage13–70.0040%11 Oct →
cache8–13-0.1038%11 Oct →
anubis5–130.0229%11 Oct →
inferno10–13-0.0435%9 Oct →
cache13–9-0.0024%9 Oct →
ancient10–13-0.0516%9 Oct →
nuke13–90.0130%9 Oct →
ancient14–16-0.0437%9 Oct →
mirage6–3-0.100%5 Oct →
nuke11–13-0.0330%5 Oct →
ancient13–9-0.0219%5 Oct →
inferno8–13-0.0336%30 Sept →
dust213–11-0.0526%26 Sept →
ancient5–13-0.0632%21 Sept →
ancient13–70.0620%21 Sept →
nuke13–100.0432%20 Sept →
nuke13–5-0.0443%18 Sept →
mirage9–13-0.0728%16 Sept →
ancient13–11-0.0523%12 Sept →
cache11–13-0.0125%12 Sept →
ancient6–13-0.0239%12 Sept →
ancient13–110.0223%12 Sept →
anubis3–13-0.0914%12 Sept →
dust213–11-0.0627%10 Sept →
nuke13–90.0330%10 Sept →
mirage13–8-0.0230%9 Sept →
ancient3–13-0.0617%9 Sept →
nuke5–13-0.090%9 Sept →
cache13–5-0.0044%3 Sept →
mirage10–13-0.0415%3 Sept →
ancient13–60.0436%31 Aug →
nuke14–16-0.0130%31 Aug →
mirage13–90.0135%31 Aug →
nuke13–5-0.0213%30 Aug →
nuke9–13-0.0426%30 Aug →
dust26–13-0.0345%26 Aug →
mirage7–13-0.0429%20 Aug →
anubis16–14-0.0325%19 Aug →
cache9–13-0.0219%19 Aug →
ancient16–130.0622%18 Aug →
inferno4–9-0.0833%15 Aug →
nuke9–70.1413%15 Aug →
nuke9–130.0229%14 Aug →
inferno0–9-0.2319%13 Aug →
ancient3–13-0.0423%11 Aug →
anubis13–16-0.0722%7 Aug →
ancient13–10-0.0142%6 Aug →
anubis1–13-0.0338%6 Aug →
cache13–90.0333%5 Aug →
mirage4–13-0.108%3 Aug →
anubis13–8-0.0525%3 Aug →
nuke13–9-0.0913%3 Aug →
anubis11–13-0.0638%2 Aug →
inferno2–13-0.0743%2 Aug →
ancient13–70.0533%2 Aug →
cache3–13-0.0321%2 Aug →
inferno13–11-0.0323%2 Aug →
nuke13–50.0548%2 Aug →
ancient8–130.0435%2 Aug →
cache12–16-0.0122%2 Aug →
ancient13–9-0.0221%2 Aug →
nuke10–13-0.0431%2 Aug →
ancient8–130.0418%2 Aug →
anubis13–90.0229%1 Aug →
nuke13–40.0528%1 Aug →
nuke10–13-0.0431%31 Jul →
ancient13–5-0.0233%23 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.