MaGgiX

MaGgiX — CS2 Stats

DE76561198352487630[U:1:392221902]Steam profile ↗✓ No bans

1,458Tracked matches63%Win rate2022Tracked since
1,184Hours in CS
CSDB Rating6.4 SolidAll-Rounder
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,458 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,137 +933 13 Apr – 2 Jul · 14 days played
16,70519,137peak 19,13713 Apr2 Jul
Faceit ELO: 1,678 +0 29 Aug – 23 Sept · 3 observations
1,6781,678peak 1,67829 Aug23 Sept
19,336Peak Premier in tracked matches
1,678Highest Faceit ELO seen on CSDB
28Days played since 2026-04-13

Faceit ELO

  • At peak — 1,678
  • 0 over 30 days · steady
  • Next: Level 9 at 1,751 — 73 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-29
  • Level 7 first seen 2026-08-29

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.

Compare periods

Last 30 days vs previous 30

No matches recorded between 29 Aug 2026 and 3 Oct 2026.

Measured 29 Aug 2026 → 3 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.

Share this profile

CSDB.GGMaGgiX30 DAYS0 ELOPEAK ELO1,678csdb.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

Aim78
Positioning60
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateWWLLWWWLLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +5.9pp headshot accuracy · −7ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 589ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 602ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 605ms

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.

Aim7.8
Utility4.8
Positioning6.0
Opening Duels5.5
Clutch4.8

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

ZywOo

Plays most like ZywOo 98% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

T-side openings. Opening success drops from 58% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 606ms 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

Aim7.8
Positioning6.0
Utility4.8
Mechanics6.9
Opening Duels4.8
Win Impact9.4

Composite 6.4/10 (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-0.00+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.00
Reaction time603ms−100ms
first ⅓ avg 703ms → last ⅓ avg 603ms
Headshot accuracy20.3%−1.8%
first ⅓ avg 22.1% → last ⅓ avg 20.3%

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

0.15Best match rating · 9–3 · vertigo, 1 Jul →
38%Best headshot accuracy · 5–13 · ancient, 5 May →
445msFastest reaction time · 4–13 · inferno, 28 Jun →
13–1Biggest win · inferno, 1 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
7–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 67% over 9mirageWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
ancientA2717–1063%-0.02
infernoB2714–1352%-0.02
mirageD123–925%-0.03
nukeA127–558%-0.02
anubisS96–367%-0.00
overpass—41–325%-0.00
cache—31–233%-0.01
dust2—32–167%-0.03
vertigo—11–0100%0.15
italy—10–10%-0.00
office—11–0100%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,146Lifetime kills
0.86K/D
3,239Matches
46.1%Match win rate · Top 50% of tracked players
47.5%Headshot % · Top 50% of tracked players
10.9%Shot accuracy
7,952MVPs
1,184Hours (in match)
1,537Bombs planted
1,018Bombs defused

Most-used weapons

Lifetime map wins

5,969inferno
4,650dust2
2,459cbble
1,963vertigo
1,468nuke
649lake
554train
224office

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

Faceit stats

Combat

419Matches
53%Win rate
0.90Avg K/D
77.0ADR
50%Headshot %

Clutches & streaks

44%1v1 clutch win
15%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient9961%0.9515.6
Inferno8956%0.9314.4
Dust25042%0.8714.6
Vertigo4149%0.9614.8
Anubis3161%0.8713.3
Mirage3040%0.8313.4
Overpass2352%1.0116.5
Nuke2264%0.9116.1

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.

20.2%Headshot accuracy
37.7%Accuracy (enemy spotted)
40.3%Spray accuracy
80.9%Counter-strafing
9.6°Preaim
606msReaction time
40.7%T opening success
57.7%CT opening success
0.56Enemies flashed / flash
4.5%Flash assists
8.61HE damage / grenade
4.38Flashes / match

Recommended for you

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–9-0.0217%27 Aug →
ancient13–8-0.0512%27 Aug →
ancient10–130.0222%26 Aug →
mirage15–19-0.0315%26 Aug →
mirage13–50.0428%26 Aug →
cache13–100.0423%11 Aug →
dust213–110.0025%11 Aug →
cache11–130.0232%11 Aug →
nuke7–13-0.0817%18 Jul →
ancient16–13-0.0225%18 Jul →
ancient12–16-0.0123%10 Jul →
inferno13–50.0113%10 Jul →
anubis16–120.0315%10 Jul →
anubis10–13-0.0026%2 Jul →
nuke5–13-0.0018%2 Jul →
ancient13–7-0.006%2 Jul →
ancient13–7-0.0412%2 Jul →
inferno13–7-0.0212%2 Jul →
inferno13–2-0.0413%2 Jul →
nuke13–70.0217%2 Jul →
inferno11–13-0.0331%2 Jul →
ancient13–3-0.019%2 Jul →
inferno13–10.0230%1 Jul →
inferno13–11-0.0223%1 Jul →
inferno7–13-0.0321%1 Jul →
inferno14–16-0.0218%1 Jul →
inferno13–90.0122%1 Jul →
ancient16–130.0222%1 Jul →
vertigo9–30.1529%1 Jul →
inferno6–90.0519%1 Jul →
ancient13–8-0.0119%1 Jul →
nuke6–13-0.0634%1 Jul →
nuke13–11-0.0320%30 Jun →
ancient13–10-0.0011%30 Jun →
anubis13–8-0.0621%30 Jun →
ancient13–10-0.0219%30 Jun →
ancient13–20.0128%30 Jun →
nuke13–50.0517%30 Jun →
inferno5–13-0.0617%30 Jun →
anubis13–2-0.0125%29 Jun →
ancient13–80.0326%29 Jun →
ancient14–160.0419%29 Jun →
inferno13–4-0.039%29 Jun →
inferno13–3-0.0210%29 Jun →
inferno11–130.0315%29 Jun →
inferno4–13-0.0226%28 Jun →
ancient5–13-0.0425%27 Jun →
overpass10–13-0.0021%27 Jun →
mirage7–13-0.1010%27 Jun →
inferno13–11-0.0819%27 Jun →
inferno13–70.0228%27 Jun →
mirage7–13-0.0313%27 Jun →
inferno7–13-0.0336%27 Jun →
nuke13–60.0427%27 Jun →
ancient3–13-0.0212%27 Jun →
ancient13–8-0.078%25 Jun →
ancient5–13-0.0621%25 Jun →
inferno13–7-0.0315%24 Jun →
nuke6–13-0.067%24 Jun →
inferno15–150.0419%24 Jun →
mirage10–13-0.0515%23 Jun →
mirage13–6-0.0117%23 Jun →
ancient6–13-0.0624%23 Jun →
cache5–13-0.0711%23 Jun →
ancient5–13-0.089%23 Jun →
dust23–13-0.0421%23 Jun →
overpass13–6-0.0019%16 Jun →
inferno19–17-0.0715%16 Jun →
mirage10–13-0.0221%16 Jun →
inferno9–13-0.0427%16 Jun →
anubis13–8-0.0230%16 Jun →
mirage8–130.0119%16 Jun →
mirage10–13-0.0335%4 Jun →
anubis13–30.0119%4 Jun →
mirage5–0-0.0317%4 Jun →
anubis16–130.0313%4 Jun →
inferno13–10-0.0020%21 May →
anubis9–130.0126%20 May →
mirage7–13-0.0635%19 May →
ancient5–13-0.0638%5 May →
nuke9–13-0.0519%27 Apr →
ancient13–9-0.0116%26 Apr →
inferno0–9-0.110%23 Apr →
inferno4–13-0.0838%23 Apr →
nuke13–80.0122%23 Apr →
overpass3–13-0.0616%23 Apr →
ancient12–5-0.0617%23 Apr →
inferno13–90.0614%23 Apr →
nuke13–110.0026%23 Apr →
dust213–10-0.0613%23 Apr →
inferno13–16-0.0719%18 Apr →
nuke13–11-0.0423%16 Apr →
ancient13–80.0130%16 Apr →
ancient10–13-0.0129%16 Apr →
overpass8–130.0517%16 Apr →
mirage10–13-0.0820%15 Apr →
ancient13–8-0.0319%15 Apr →
italy11–13-0.0021%14 Apr →
office13–8-0.0426%14 Apr →
anubis3–13-0.0329%13 Apr →

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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