Maria LaGuerta

Maria LaGuerta — CS2 Stats

76561198586708139[U:1:626442411]Steam profile ↗✓ No bans

143Tracked matches48%Win rate2020Tracked since
516Hours in CS
CSDB Rating2.8 LearningAll-Rounder
Premier CS Rating7,840Light Blue band · top ~65.2% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Apr 2026 (213 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: 7,840 +2,334 18 Oct – 1 Apr · 47 days played
2,5368,960peak 8,96018 Oct1 Apr
8,960Peak Premier in tracked matches
62Days played since 2024-10-18

Premier CS Rating

  • 1,120 below peak (8,960)
  • -90 over 30 days · steady
  • Next: Blue band at 10,000 — 2,160 to go
  • Reached: Light Blue band

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 1 among CSDB-tracked players (n=2,367), 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 1 medianLevel 2 medianvs Level 2
Headshot rate32.2%40.9%41.3%9.1% short
Shot accuracy9.7%14.2%12.7%3.0% short
Kill/death ratio0.670.950.950.28 short
Match win rate41.8%42.1%42.6%meets

This profile matches the typical Level 2 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMaria LaGuertaFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER7,840 · Light 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

Aim9
Positioning43
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWTLWLWWWWL

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · +2.9pp headshot accuracy · −152ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 16%
  • Avg reaction 700ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 658ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 734ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim0.9
Utility4.3
Positioning4.3
Opening Duels2.7

Effective flashes

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.

Strengths & areas to improve

Strengths

Flashes. 0.85 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 46% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 741ms 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

Aim0.9
Positioning4.3
Utility4.3
Mechanics4.6
Opening Duels2.0
Win Impact4.4

Composite 2.8/10 (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-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time745ms+63ms
first ⅓ avg 682ms → last ⅓ avg 745ms
Headshot accuracy14.3%+2.9%
first ⅓ avg 11.4% → last ⅓ avg 14.3%

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

0.07Best match rating · 6–9 · vertigo, 25 Mar →
33%Best headshot accuracy · 2–13 · dust2, 28 Feb →
469msFastest reaction time · 13–4 · nuke, 22 Mar →
13–1Biggest win · ancient, 22 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 70% over 20vertigoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C2812–1643%-0.04
ancientB2111–1052%-0.04
nukeS2014–670%-0.04
overpassA106–460%-0.05
anubisD92–722%-0.06
vertigoD61–517%-0.04
inferno—42–250%-0.05
mirage—21–150%-0.04

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,963Lifetime kills
0.67K/D
1,409Matches
41.8%Match win rate
32.2%Headshot %
9.7%Shot accuracy
2,569MVPs
516Hours (in match)
1,916Bombs planted
268Bombs defused

Most-used weapons

Lifetime map wins

2,778dust2
2,397nuke
1,447inferno
1,235vertigo
335train
156office
18lake
15cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.0%Headshot accuracy
22.2%Accuracy (enemy spotted)
26.1%Spray accuracy
70.8%Counter-strafing
15.5°Preaim
741msReaction time
24.1%T opening success
46.2%CT opening success
0.85Enemies flashed / flash
7.3%Flash assists
9.45HE damage / grenade
6.58Flashes / 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 15.4744° — 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 14.0013% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 740.6651ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Vertigo

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–11-0.0813%1 Apr →
anubis15–15-0.1010%27 Mar →
ancient13–16-0.066%26 Mar →
dust213–60.0030%26 Mar →
dust27–13-0.0520%25 Mar →
ancient13–10-0.0314%25 Mar →
nuke13–4-0.017%22 Mar →
nuke16–13-0.079%22 Mar →
ancient16–13-0.0915%21 Mar →
anubis4–13-0.0717%21 Mar →
dust210–13-0.0516%20 Mar →
dust216–13-0.036%19 Mar →
dust28–130.0412%19 Mar →
dust24–13-0.0613%16 Mar →
ancient6–13-0.0215%15 Mar →
ancient13–4-0.0110%15 Mar →
dust211–13-0.0410%14 Mar →
nuke13–11-0.0019%14 Mar →
overpass13–8-0.050%12 Mar →
dust29–13-0.0411%12 Mar →
ancient13–70.0321%2 Mar →
nuke16–12-0.0517%2 Mar →
ancient13–7-0.0319%1 Mar →
dust25–13-0.1313%28 Feb →
anubis13–7-0.066%28 Feb →
dust22–13-0.0933%28 Feb →
dust23–13-0.0833%26 Feb →
ancient6–13-0.0229%25 Feb →
ancient5–13-0.0614%24 Feb →
nuke4–13-0.010%23 Feb →
overpass13–6-0.0817%23 Feb →
dust28–13-0.106%23 Feb →
ancient15–15-0.0813%22 Feb →
ancient13–11-0.0617%21 Feb →
overpass13–7-0.019%21 Feb →
ancient5–13-0.1613%20 Feb →
nuke13–9-0.089%20 Feb →
dust213–10-0.0821%19 Feb →
nuke13–11-0.0518%19 Feb →
nuke13–7-0.0512%19 Feb →
overpass13–40.008%18 Feb →
dust213–10-0.0511%17 Feb →
dust26–13-0.0511%17 Feb →
inferno9–13-0.1121%16 Feb →
mirage13–11-0.055%16 Feb →
inferno6–13-0.118%16 Feb →
overpass9–13-0.0525%12 Feb →
inferno13–11-0.039%9 Feb →
dust213–9-0.025%9 Feb →
nuke16–14-0.0510%8 Feb →
ancient5–13-0.0819%7 Feb →
nuke15–15-0.0614%7 Feb →
anubis6–13-0.078%7 Feb →
ancient2–00.0233%7 Feb →
nuke8–13-0.1419%7 Feb →
overpass2–13-0.100%7 Feb →
dust28–13-0.0812%7 Feb →
nuke13–11-0.082%5 Feb →
ancient13–8-0.0317%5 Feb →
anubis2–13-0.077%30 Jan →
overpass13–11-0.0610%8 Nov →
nuke13–9-0.0621%28 Sept →
nuke13–10-0.0217%27 Sept →
dust211–13-0.0710%27 Sept →
dust213–100.049%25 Sept →
dust213–7-0.0512%25 Sept →
ancient8–130.066%24 Sept →
ancient13–4-0.037%23 Sept →
mirage2–13-0.0417%23 Sept →
ancient13–10.0213%22 Sept →
overpass16–13-0.0610%21 Sept →
dust213–40.0122%21 Sept →
overpass5–11-0.015%20 Sept →
dust27–13-0.027%20 Sept →
ancient9–13-0.079%19 Sept →
nuke13–50.005%19 Sept →
dust29–13-0.102%17 Sept →
dust29–13-0.0215%29 Mar →
nuke5–130.016%28 Mar →
ancient13–6-0.0311%26 Mar →
vertigo6–90.0711%25 Mar →
inferno9–40.0525%24 Mar →
vertigo7–9-0.0626%24 Mar →
overpass2–9-0.120%23 Mar →
nuke13–11-0.0111%16 Mar →
anubis5–13-0.0612%16 Mar →
ancient9–13-0.0812%9 Mar →
dust213–7-0.0314%9 Mar →
dust213–5-0.0617%28 Feb →
anubis13–9-0.0212%25 Feb →
vertigo8–8-0.106%25 Feb →
vertigo9–40.0330%23 Feb →
anubis10–13-0.0214%21 Feb →
dust213–5-0.025%20 Feb →
dust213–90.028%17 Nov →
nuke8–130.0314%12 Nov →
anubis11–13-0.0410%10 Nov →
vertigo8–13-0.055%9 Nov →
nuke2–9-0.099%26 Oct →
vertigo4–13-0.127%18 Oct →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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