MaggyG

MaggyG — CS2 Stats

DK76561197995180659[U:1:34914931]Steam profile ↗✓ No bans

1,671Tracked matches52%Win rate2020Tracked since
6,666Hours in CS51Hrs last 2 wks
CSDB Rating6.9 SolidPositional Player
Premier CS Rating19,999Top 50% of 208,191 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#83733 of 255335 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (3 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: 19,999 +994 10 Aug – 17 Oct · 14 days played
18,32219,999peak 19,99910 Aug17 Oct
19,999Peak Premier in tracked matches
45Days played since 2026-07-12

Premier CS Rating

  • At peak — 19,999
  • +682 over 30 days · improving
  • Next: Pink band at 20,000 — 1 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches141——
Win rate41%——
K/D1.71——
Headshot %65%——

Measured 18 Sep 2026 → 20 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,126), 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 8 medianLevel 9 medianvs Level 9
Headshot rate58.9%46.8%48.2%above
Shot accuracy22.6%13.0%13.2%above
Kill/death ratio0.951.061.070.13 short
Match win rate36.3%46.3%46.9%10.7% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMaggyGFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER19,999 · Purple 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

Aim84
Positioning69
Utility60

0–100 skill scores via Leetify.

Recent form

HOT53–44–3Last 10053%Win rateTWWWWWLWWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +1.5pp headshot accuracy · −11ms reaction

Win rate up 20pp 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

  • 4–0–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 550ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 506ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 512ms

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 (+1.7 against its own average).

Aim8.4
Utility6.0
Positioning6.9
Opening Duels5.5
Clutch2.6

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

jL

Plays most like jL 95% playstyle similarity

Most alike: utility contribution, positioning profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.4
Positioning6.9
Utility6.0
Mechanics5.9
Opening Duels6.2
Win Impact5.6

Composite 6.9/10 (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 rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time488ms−32ms
first ⅓ avg 520ms → last ⅓ avg 488ms
Headshot accuracy17.8%−0.0%
first ⅓ avg 17.8% → last ⅓ avg 17.8%

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

0.16Best match rating · 11–13 · nuke, 6 Aug →
71%Best headshot accuracy · 2–9 · nuke, 7 Sept →
352msFastest reaction time · 3–13 · dust2, 24 Sept →
13–1Biggest win · nuke, 25 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
13–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 64% over 14dust2Weakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
nukeB2613–1350%0.02
infernoA1912–763%0.03
dust2D155–1033%-0.01
anubisA149–564%0.02
ancientC104–640%0.01
mirageB84–450%0.05
cacheA53–260%0.05
train—11–0100%0.04
vertigo—11–0100%0.05
poseidon—11–0100%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

362,241Lifetime kills
0.95K/D
6,774Matches
36.3%Match win rate
58.9%Headshot % · Top 10% of Level 8 players
22.6%Shot accuracy · Top 1% of Level 8 players
18,181MVPs
7,390Hours (in match)
7,189Bombs planted
1,630Bombs defused

Most-used weapons

AK-47209,483
AWP24,104
Glock-1813,131
FAMAS3,123
Knife2,853
SSG 082,795
P2502,685

Lifetime map wins

12,549inferno
7,860nuke
7,705dust2
6,291vertigo
2,699train
689cbble
113lake
98office

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

Faceit stats

Combat

2,694Matches
51%Win rate
1.24Avg K/D
86.8ADR
46%Headshot %

Clutches & streaks

33%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient8140%1.3118.1
Inferno7450%1.2418.0
Nuke6951%1.2918.4
Dust24347%1.1318.1
Anubis4240%1.2017.8
Vertigo3468%1.2616.5
Mirage3129%1.0016.0
Cache1968%1.2619.1

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.

17.9%Headshot accuracy
38.4%Accuracy (enemy spotted)
43.4%Spray accuracy
76.7%Counter-strafing
9.5°Preaim
491msReaction time
55.8%T opening success
54.2%CT opening success
0.61Enemies flashed / flash
6.2%Flash assists
6.54HE damage / grenade
12.73Flashes / match

Recommended for you

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke15–150.0820%17 Oct →
nuke13–40.0015%17 Oct →
dust213–100.0122%17 Oct →
mirage13–100.1119%17 Oct →
cache13–80.0121%15 Oct →
inferno13–30.0324%15 Oct →
dust27–13-0.0219%14 Oct →
inferno13–60.0623%14 Oct →
anubis16–12-0.0111%13 Oct →
dust29–13-0.0318%11 Oct →
ancient5–130.0110%8 Oct →
nuke5–13-0.0221%6 Oct →
nuke13–110.0314%6 Oct →
dust213–100.0523%5 Oct →
dust26–13-0.069%5 Oct →
inferno9–13-0.0126%4 Oct →
anubis13–60.0213%4 Oct →
mirage11–130.0224%4 Oct →
dust213–70.0120%3 Oct →
inferno16–13-0.0115%2 Oct →
inferno13–110.0111%28 Sept →
inferno5–13-0.017%28 Sept →
ancient13–160.0120%25 Sept →
inferno13–80.0918%25 Sept →
inferno7–130.0218%25 Sept →
nuke13–10.0515%25 Sept →
ancient6–13-0.0422%24 Sept →
dust23–13-0.0315%24 Sept →
ancient9–130.0216%23 Sept →
inferno8–130.0225%23 Sept →
nuke22–18-0.0419%22 Sept →
nuke13–90.0318%22 Sept →
dust27–13-0.0315%19 Sept →
ancient13–110.0120%16 Sept →
inferno13–110.0216%16 Sept →
nuke13–80.0712%15 Sept →
nuke20–22-0.0012%15 Sept →
nuke4–9-0.116%13 Sept →
train13–100.0427%12 Sept →
dust24–13-0.0730%12 Sept →
anubis2–13-0.0421%12 Sept →
nuke3–13-0.0711%12 Sept →
inferno9–30.0415%10 Sept →
ancient8–10.0829%10 Sept →
cache13–70.0213%9 Sept →
nuke13–100.0418%9 Sept →
cache13–11-0.039%9 Sept →
nuke13–11-0.0210%8 Sept →
inferno13–80.0318%8 Sept →
nuke2–9-0.0771%7 Sept →
anubis13–110.0524%7 Sept →
nuke7–130.0510%7 Sept →
nuke1–13-0.0619%7 Sept →
nuke13–30.1145%4 Sept →
dust216–120.0422%4 Sept →
anubis8–130.049%2 Sept →
nuke8–130.0624%30 Aug →
anubis11–130.0123%30 Aug →
dust211–13-0.0418%30 Aug →
cache16–190.1318%30 Aug →
nuke8–130.057%25 Aug →
inferno16–140.0514%24 Aug →
anubis19–160.0313%24 Aug →
ancient6–13-0.0112%22 Aug →
anubis13–110.0613%21 Aug →
inferno13–110.0112%19 Aug →
anubis13–8-0.0516%19 Aug →
nuke9–20.1311%19 Aug →
dust213–6-0.0016%18 Aug →
nuke13–110.0123%18 Aug →
dust29–130.0315%17 Aug →
nuke5–13-0.0416%17 Aug →
inferno13–100.0114%17 Aug →
inferno5–13-0.0513%17 Aug →
vertigo9–30.0519%17 Aug →
mirage13–110.1124%17 Aug →
nuke13–20.1415%15 Aug →
dust27–13-0.0417%15 Aug →
inferno5–13-0.0118%15 Aug →
anubis14–160.0412%15 Aug →
cache10–130.1028%15 Aug →
anubis16–120.0312%10 Aug →
mirage13–90.0918%10 Aug →
inferno13–30.0823%8 Aug →
anubis13–70.0616%8 Aug →
ancient13–30.0420%7 Aug →
mirage11–130.0324%6 Aug →
nuke11–130.1628%6 Aug →
nuke13–60.0729%4 Aug →
ancient15–15-0.0217%4 Aug →
nuke8–13-0.0219%4 Aug →
inferno15–150.0914%3 Aug →
anubis10–13-0.0121%3 Aug →
anubis13–110.0619%2 Aug →
dust210–13-0.0117%2 Aug →
mirage9–13-0.019%2 Aug →
mirage13–80.0714%26 Jul →
ancient13–80.048%26 Jul →
mirage9–130.0021%26 Jul →
poseidon9–40.0220%12 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 →

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