MeganMaldy

MeganMaldy — CS2 Stats

76561199073005619[U:1:1112739891]Steam profile ↗✓ No bans

3,103Tracked matches56%Win rate2024Tracked since
CSDB Rating6.5 SolidAll-Rounder
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

+66Tracked matches · now 3,103
+15.6ppWin rate · 40.0% → 55.6%

Rating over time

Premier CS Rating: 12,895 +0 29 Aug – 6 Sept · 2 observations
12,89512,895peak 12,89529 Aug6 Sept
Faceit ELO: 751 +0 29 Aug – 6 Sept · 2 observations
751751peak 75129 Aug6 Sept
12,895Peak Premier on CSDB
751Highest Faceit ELO seen on CSDB
22Days played since 2026-08-29

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

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CSDB.GGMeganMaldyPEAK ELO751csdb.gg/stats

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Performance scores

Aim68
Positioning58
Utility60

0–100 skill scores via Leetify.

Recent form

COLD49–47–4Last 10049%Win rateLTLLLWLLWL

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · −4.0pp headshot accuracy · −58ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 8%
  • Avg reaction 556ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 574ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 604ms

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.

Aim6.8
Utility6.0
Positioning5.8
Opening Duels3.2
Clutch6.0

Strong T-side openerEffective 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.

Your pro match

ZywOo

Plays most like ZywOo 86% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

CT openings. Opening success drops from 68% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 609ms 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

Aim6.8
Positioning5.8
Utility6.0
Mechanics7.7
Opening Duels5.3
Win Impact6.9

Composite 6.5/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time608ms+7ms
first ⅓ avg 601ms → last ⅓ avg 608ms
Headshot accuracy11.9%−2.0%
first ⅓ avg 13.9% → last ⅓ avg 11.9%

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

0.18Best match rating · 13–2 · anubis, 16 Sept →
26%Best headshot accuracy · 5–13 · anubis, 5 Sept →
484msFastest reaction time · 9–13 · cache, 4 Oct →
13–1Biggest win · dust2, 15 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
5–5In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 71% over 7mirageWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B2612–1446%0.01
ancientB147–750%-0.00
mirageC135–838%0.02
anubisA116–555%0.05
cacheA106–460%-0.01
infernoA95–456%0.03
vertigoS75–271%0.05
overpass—40–40%-0.04
nuke—32–167%-0.02
train—31–233%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

20Matches
40%Win rate
0.86Avg K/D
76.1ADR
38%Headshot %

Clutches & streaks

50%1v1 clutch win
11%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage757%0.8712.7
Dust2520%0.7912.8
Anubis30%0.559.3
Nuke250%1.1220.5
Inferno2100%1.2612.5
Ancient10%0.7911.0

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.

11.6%Headshot accuracy
38.0%Accuracy (enemy spotted)
39.1%Spray accuracy
84.7%Counter-strafing
10.4°Preaim
609msReaction time
67.9%T opening success
34.1%CT opening success
0.72Enemies flashed / flash
11.6%Flash assists
9.38HE damage / grenade
6.41Flashes / 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. 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 11.6412% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.1362% — below the 40% mark we flag

Spend your practice time on Mirage

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 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient3–13-0.0813%14 Oct →
dust212–12-0.077%14 Oct →
overpass4–13-0.078%13 Oct →
cache9–13-0.047%4 Oct →
overpass2–13-0.027%4 Oct →
dust213–9-0.0211%4 Oct →
dust210–130.0212%4 Oct →
mirage10–130.008%4 Oct →
dust213–80.028%4 Oct →
ancient9–13-0.0611%4 Oct →
dust29–13-0.0021%4 Oct →
mirage13–90.079%4 Oct →
inferno11–13-0.0810%28 Sept →
mirage10–13-0.066%28 Sept →
vertigo9–13-0.019%27 Sept →
inferno13–70.1022%27 Sept →
cache13–8-0.0414%27 Sept →
dust213–20.0414%27 Sept →
nuke11–11-0.0112%27 Sept →
mirage13–60.0715%27 Sept →
dust213–40.0411%26 Sept →
inferno12–12-0.007%26 Sept →
cache13–50.0519%26 Sept →
vertigo13–60.1314%25 Sept →
cache0–13-0.090%25 Sept →
inferno13–40.1715%25 Sept →
dust212–120.1115%25 Sept →
mirage13–40.0415%25 Sept →
ancient13–70.0312%25 Sept →
vertigo13–50.0620%25 Sept →
dust28–13-0.0118%21 Sept →
ancient5–13-0.1113%21 Sept →
dust211–13-0.0211%21 Sept →
vertigo13–5-0.0513%21 Sept →
cache13–11-0.0113%21 Sept →
anubis9–130.0120%18 Sept →
inferno9–13-0.0116%18 Sept →
ancient13–60.069%18 Sept →
anubis7–13-0.0210%17 Sept →
ancient13–80.0111%17 Sept →
inferno13–80.0414%16 Sept →
anubis13–20.188%16 Sept →
dust213–60.0124%16 Sept →
cache13–40.0512%16 Sept →
inferno13–9-0.0113%16 Sept →
anubis13–9-0.0411%16 Sept →
dust213–9-0.0222%15 Sept →
ancient6–13-0.0419%15 Sept →
dust213–9-0.0321%15 Sept →
cache13–80.0816%15 Sept →
ancient13–60.0216%15 Sept →
dust213–10.109%15 Sept →
anubis11–130.0512%15 Sept →
train6–13-0.0315%15 Sept →
mirage13–80.099%14 Sept →
dust213–70.019%14 Sept →
mirage8–13-0.074%14 Sept →
ancient4–13-0.0513%14 Sept →
mirage5–13-0.0216%12 Sept →
dust213–7-0.0214%12 Sept →
dust28–13-0.038%7 Sept →
vertigo13–40.0817%7 Sept →
mirage11–130.0423%7 Sept →
inferno10–130.0014%7 Sept →
dust22–130.0922%7 Sept →
train3–13-0.0918%7 Sept →
overpass6–130.0019%5 Sept →
anubis5–130.0526%5 Sept →
mirage13–90.0313%5 Sept →
dust29–130.0122%4 Sept →
cache9–13-0.0913%4 Sept →
dust27–13-0.0321%3 Sept →
anubis13–50.0916%3 Sept →
mirage9–13-0.0518%3 Sept →
ancient9–130.0012%3 Sept →
dust22–13-0.0610%3 Sept →
anubis13–90.0111%3 Sept →
ancient13–50.0410%3 Sept →
anubis13–100.079%2 Sept →
dust23–130.0721%2 Sept →
inferno13–70.0514%2 Sept →
mirage10–130.0519%2 Sept →
train13–110.0414%2 Sept →
dust210–13-0.015%1 Sept →
overpass7–13-0.079%1 Sept →
dust213–70.0011%30 Aug →
nuke5–13-0.019%30 Aug →
cache3–13-0.036%30 Aug →
dust213–60.0323%30 Aug →
mirage7–130.019%30 Aug →
vertigo13–110.1111%30 Aug →
cache13–110.0420%30 Aug →
ancient11–13-0.0315%30 Aug →
dust210–13-0.0417%30 Aug →
anubis6–130.0112%29 Aug →
ancient13–30.0711%29 Aug →
anubis13–70.1312%29 Aug →
nuke13–5-0.0420%29 Aug →
vertigo12–120.037%29 Aug →
ancient13–10.0813%29 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 →

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